bluuebunny/crossref_metadata_2025_split huggingface dataset:
Delayed onset of the tropical Asian summer monsoon in CMIP6 can be linked to the cold bias over the Tibetan Plateau
Authors: Hu Die , Duan Anmin , Tang Yuheng , Yu Wei 
Published: October 2023

Abstract
Most global circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulate a delayed onset of the tropical Asian summer monsoon of 3–6 pentads when compared with the observations. However, a clear explanation of this model bias has yet to be developed. This study indicates that 23 of the 31 of CMIP6 models generate both the Tibetan Plateau (TP) cold bias and the delayed monsoon onset across tropical Asia. The aloft TP cold air temperature associated with these models tends to reduce the land–sea thermal contrast and monsoon circulation, and hence it generates a delayed onset for the tropical summer monsoon. Two sensitivity experiments based on a coupled ocean–atmosphere–land GCM, together with additional data analysis, further confirm the underlying connection between monsoon onset and temperature anomaly over the TP. Therefore, it is of great importance that we attempt to reduce the model bias associated with the simulation of monsoon onset by improving the physical process parameterization scheme related to the TP temperatures.
Logarithmic negativity and spectrum in free fermionic systems for well-separated intervals
Authors: Bettelheim Eldad 
Published: October 2023

Abstract
We employ a mathematical framework based on the Riemann-Hilbert approach developed by Bettelheim et al (2022 J. Phys. A: Math. Gen.
55 135001) to study logarithmic negativity of two intervals of free fermions in the case where the size of the intervals as well as the distance between them is macroscopic. We find that none of the eigenvalues of the density matrix become negative, but rather they develop a small imaginary value, leading to non-zero logarithmic negativity. As an example, we compute negativity at half-filling and for intervals of equal size we find a result of order

(
log
(
N
)
)

−
1

, where N is the typical length scale in units of the lattice spacing. One may compute logarithmic negativity in further situations, but we find that the results are non-universal, depending non-smoothly on the Fermi level and the size of the intervals in units of the lattice spacing.
Enhancing Soybean Eco-Farming Sustainability Through On-Farm, Off-Farm Sub-System, and Value Chain Integration
Authors: Setiawan A. B. , Junaedy F. A. , Dzikri R. A. , Bowo P. A. , Nindhita Y. 
Published: October 2023

Abstract
Soybean is a highly demanded agricultural product. However, it is miserable that national soybean production has yet to meet the high demand, resulting in the high value of soybean imports. In addition, Indonesia’s soybean productivity is relatively low compared to the productivity of other soybean centers worldwide. This study aims to examine the condition and sustainability of soybean farming as a whole, namely from the on-farm and off-farm side, as well as the trading system, which then provides technical input to increase the productivity of soybean farming through synergy between sub-systems. Sustainable agriculture is also essential to ensure that farming can be self-sufficient. Therefore, research and development of the agricultural sector are essential, considering that agricultural commodities are not only consumer goods but are also closely related to the problem of food security. This quantitative research uses Analytic Network Process (ANP) analysis and descriptive statistics.
Determinants of Agricultural Income to Promote Economic Sustainability in Indonesia
Authors: Pratiwik Erida , Rahmayani Dwi 
Published: October 2023

Abstract
Indonesia is an agricultural country where most of the population works as farmers. The share of the agricultural sector in Gross Domestic Product (GDP) ranks third, with an average informal sector employment of 88.34% in the last five years. This study aims to analyze the factors that influence the contribution of the agriculture sector to economic sustainability growth, proxied by national income, in the short and long run through the Error Correction Model (ECM) regression analysis tool with time series data of Indonesia for the 1991 – 2020 period through four independent variables; arable land, agricultural machinery, GDP growth per capita, and labor productivity of the agricultural sector. The results showed that Arable Land has a positive effect on Agricultural Income, significant in the long run but insignificant in the short run. Agricultural Machinery and Labor Productivity have a significant positive effect both in the short and long run. Then, the GDP per capita growth has a significant negative effect in the short and long run. From the results of the research, several policy recommendations have been compiled for the advancement of the agricultural sector in Indonesia, one of them is the intensification of machinery utilization.
Effectiveness of eco enzyme liquid on the growth of Catfish (Pangasius djambal) raised in peat soil fish ponds
Authors: Suriani M , Winarti S , Arifin S , Alpian  , Setyowati E D P , Wibowo A 
Published: October 2023

AbstractEco enzymes are derived from the fermentation of organic matter, particularly fruit and vegetable peels, offering the advantage of being a versatile natural cleaning solution. They also serve as essential nutrients for plant and algae growth, while converting CO2into carbon trioxide (CO3), which benefits marine plants and aquatic life. This study aimed to investigate the impact of providing alternative feed/companion in the form of eco enzyme liquid, composed of 90% organic matter from three types of fruit peels and 10% vegetable residues from fern plants, on the growth ofPangasius djambalin conventional fish ponds with peat water. The implementation of 1 litre of ecoenzyme per 100 ml of peat water in the fish ponds led to the enhancement ofPangasius djambal, resulting in increased weight and varying lengths. The correlation coefficient (>1) indicates a strong relationship between fish weight and length, suggesting that the total weight of the fish is directly proportional to its length. Moreover, the water quality standards, including physical, chemical, and biological parameters, in the conventional fish enlargement ponds with peat soil pond water type were well-maintained, preventing contamination from feed residues and fish feces, even after 28 days of fish enlargement.
Examining Passenger Trust and Experience to Develop Loyalty in Eco Friendly Transportation
Authors: Prihandono D. , Abiprayu K. B. , Wijaya A. P. 
Published: October 2023

Abstract
This study examines the effects of passenger trust and passenger experience on passenger satisfaction and passenger loyalty in the context of eco-friendly transportation. The research objective is to analyze the relationship between these variables and their implications for promoting sustainable transportation practices. A sample of participants, consisting of eco-friendly transportation users with the number 116 sample as respondents, was surveyed using a structured questionnaire. Statistical analysis, including multiple regression, was conducted to determine the relationships and significance of these variables. The findings revealed a significant positive effect of passenger trust on passenger satisfaction and passenger loyalty. Similarly, passenger experience demonstrated a significant positive effect on passenger satisfaction and passenger loyalty. This study contributes to the existing literature by highlighting the significance of passenger trust and passenger experience in influencing satisfaction and loyalty in the context of eco-friendly transportation. The findings have implications for policymakers and transportation stakeholders, offering insights into strategies to promote sustainable transportation practices and enhance passenger satisfaction and loyalty.
The Causality Between CO2 Emissions and Electricity Generations: Evidence from Environmental Quality
Authors: Pujiati A. , Nihayah D. M. , Rahman Y. A. , Rosalia A. C. T. , Saputra A. M. , Damayanti N. 
Published: October 2023

Abstract
This study aims to analyze the causality relationship between CO2 emissions and electricity generations in the 10 most populous countries. This study uses secondary data from the British Petroleum (BP) annual report from 2000-2021. The data analysis method uses Pairwise Dumitrescu-Hurlin Panel causality analysis, carried out by stationarity and cointegration tests. The results of the analysis state that there is a bidirectional relationship that influences each other between CO2 emissions and electricity generations. The implication of this research is the need for countries to prepare for renewable sources of electrical energy to be able to reduce CO2 emissions, especially those sourced from fossil energy.
Where does flood resilience grow? the flood environmental management and socioeconomic configurations of the smart environment model
Authors: Hidayati B. , Wardana F.C. , Tiarantika R. , Setiawan E. , Suwanan A.F. , Riyanto F.D. 
Published: October 2023

Abstract
The most common natural hazard in the world, flooding often damages Indonesia’s economy and claims many lives and properties. This article explores the significance of flood environmental management and socioeconomic configurations to flood resilience. The Smart Environment Model (SEM) helps understand the flow of the theoretical framework of flood reliance growth. Methodology in this research uses the quantitative method with independent sample two tests to analyze different patterns of flood experience in Malang City. The Multinomial Logistic Regression statistical analysis is used to evaluate causal models in Smart Environment Model. The Smart Environment Model provides a framework for methodically analyzing flood learning from various events (socioeconomic and smart environment) to demonstrate how to apply the SEM model and as an initial attempt to explore the question, of the linking between environmental flood management and flood resilience. These two environments are characterized by contrasting levels of flood resistance. There are differences between these two village flood resistance, Glintung Village and Sukun Village. The result shows that the SEM model has factors that are socio-economics, smart learning environment, and ecological path which have a significant impact on flood environment management. On the other hand, external factors including mitigation and preparation, have a significant in flood resilience that have subsequently in flood environmental management patterns. The linking flood environmental management and Socioeconomic to nurture flood resilience in the Face of Climate Change.
Communication Marketing Capability Through Social Media to Improve Awareness of Climate Change Mediated by Green Knowledge Sharing (A Case Study of Indonesian and Japanese Students)
Authors: Umboh I. A. , Aryanto V. D. W. , Sepang S. M. E. W. , Lombogia C. A. 
Published: October 2023

Abstract
This study proposes a model of social marketing communication through social media to improve awareness of climate change among Generation Z. The comparative analysis between two nationalities on climate change communication so far is under research. This comparative study discussed the issue of two countries’ Generation Z: Indonesia and Japan. We conducted this comparative study between Universitas Dian Nuswantoro and Universitas Katolik De La Salle in Indonesia and the Tokyo University of Technology in Japan; data were collected by distributing questionnaires from January to March 2020, right before the outbreak of the Covid-19 pandemic. This research has withdrawn respondents of 200 sophomore students representing Generation Z in both universities with the criteria of frequent engagement in social media to have environmental awareness. This study revealed that hypothesis 1, social media communication marketing capability has a significant impact on climate change awareness, hypothesis 2, that communication marketing capability has a significant effect on green knowledge sharing, and hypothesis 3, that green knowledge sharing has a significant impact on climate change awareness. The research findings revealed that green knowledge sharing was essential in bridging the gap between communication marketing capability and climate change awareness. Therefore, to effectively improve climate change understanding among Generation Z, our research suggests including green knowledge sharing through social media. Students of both countries grabbed green knowledge sharing, and people can consider this study that represented two countries to improve how to communicate climate change awareness among Generation Z.
Sustainable nature tourism object selection in North Barito Regency: Formulating criteria and determining priorities
Authors: Sunarty S , Lautt B S , Masliani  , Erang D 
Published: October 2023

Abstract
The Covid-19 pandemic has shifted tourists’ preferences towards natural open spaces offering opportunities for social distancing, enjoying natural beauty, and engaging in recreational activities that support physical and mental well-being. However, some of these tourist destinations lack proper regulations, leading to unsustainability issues. This research aims to formulate criteria for prioritizing tourist attraction objects or Objek Daya Tarik Wisata (ODTW) in North Barito Regency, Central Kalimantan. The study employs expert judgment to ensure the selection process considers ecological, social, and economic factors. A set of criteria is then formulated to guide the selection of nature tourism objects. The criteria include alignment with regional spatial planning, compatibility with regional development plans, consistency with tourism development plans, and exclusion from mining permit areas, proximity to urban centres and transportation hubs, and inclusion as assets of the local government. Based on the established criteria, Trinsing reservoir and Trahean reservoir with its Panglima Batur camping ground are selected as priority ODTW. However, the evaluation reveals that each selected ODTWs still faces shortcomings in attraction, accessibility, amenity, and ancillary aspects. Consequently, there is a need for appropriate development and management strategies to address these challenges and enhance the ecotourism potential in the Regency.
Environment Concern Through Digitalization of Village Financial Reporting and Accountability of Village Fund Management: Can it Accelerate the Achievement of Village Sustainable Development Goals (SDGs)?
Authors: Handayani B. D. , Ismiyati I. , Astuti D. P. 
Published: October 2023

Abstract
The use of Village Funds is prioritised for programmes aimed at accelerating the accomplishment of Village Sustainable Development Goals (SDGs). Because village funds are critical to achieving the SDGs, transparency and accountability in their management are critical. Digitising village financial reporting is an endeavour to eliminate the usage of paper (paperless) to contribute to the achievement of the Sustainable Development Goals (SDGs). In addition to lowering the use of paper, it is believed that the digitalization of financial reporting will make it easier for the community to have supervision over the use of village funds. The purpose of this study is to examine the effect of village fund management accountability and digitization of village financial reporting on expediting village Sustainable Development Goals (SDGs) attainment. The quantitative descriptive research method was applied in this study. A questionnaire with a Likert scale was used to collect primary data. Village officials from 11 villages in Poncowarno Sub-District participated in this study, which included village heads, village secretaries, heads of financial affairs, and heads of welfare. With 44 respondents, the sampling technique employed was purposive sampling. Multiple linear regression analysis was utilised to analyse the data in this study. The data analysis results suggest that accountability for managing village money and digitalization village financial reporting have a substantial impact on advancing local SDG accomplishment.
Biochar-ZnO Composites from Petung Bamboo Stems to Increase Adsorption and Photocatalytic Degradation of Methylene Blue in Wastewater
Authors: Astuti W. , Sulistyaningsih T. , Pradnya I. N. , Wulansarie R. , Tongo M. M. A. , Rahmawati D. , Amalia P. , Liana A. W. 
Published: October 2023

AbstractThe rapid development of industrial sector worldwide has contributed greatly to environmental pollution. In many countries, surface and groundwater are polluted by industrial wastewater effluent, such as synthetic dyes. Dyes are difficult to decompose naturally and cause disruption to aquatic ecosystems. To eliminate risks associated with the presence of synthetic dyes, photocatalytic-adsorption is still considered the most environmentally friendly and effective for dye removal. In this work, a novel biochar-ZnO composite was synthesized from petung bamboo stems having a high cellulose content, and used to eliminate methylene blue dye in the water. Biochar-ZnO composite was prepared from bamboo stems via a two-step pyrolysis process in a furnace with nitrogen flow at 400°C and 700°C for one hour. The addition of ZnO into biochar enhanced methylene blue removal up to 94.6% at an initial concentration of 10 mg.dm-3, pH 3, and contact time of 180 minutes, under UV light. It can be concluded that biochar-ZnO composite is highly feasible for dye removal from wastewater.
Abandonment and Site Restoration (ASR) Funding Scheme in the Context of Environmental Protection after Upstream Oil and Gas Business Activities from an Economic Law Perspective
Authors: Waspiah W , Arifin R , Baiquni M I , Adiyatma S E 
Published: October 2023

Abstract
This study focuses on the Abandonment and Site Restoration (ASR) Funding Scheme and its significance in environmental protection following upstream oil and gas activities. ASR activities have a substantial impact on the environment, necessitating an adequate funding scheme to ensure both environmental preservation and economic sustainability in the oil and gas sector. The presence of comprehensive regulations governing the implementation of ASR activities is crucial, as they address not only the restoration of environmental functions but also accountability and financing. Failure to address these concerns could lead to future problems, particularly when operations are completed and oil and gas companies have departed from Indonesia. This research, conducted through legal analysis, examines the implementation of ASR activities in accordance with international and Indonesian laws and regulations, while also identifying the obstacles encountered in their execution. The study employs normative legal research methodology, utilizing secondary data such as laws, regulations, and books. The findings of this research elucidate the funding scheme for post-operation ASR activities, including the ASR funds outlined in SKK Migas Decree No. KEP-OO87/SKKMAO0O0/2018/SO, which provides guidelines for Abandonment and Site Restoration Work, and the subsequent fund arrangements following upstream oil and gas operations as stipulated in Permen ESDM No. 15 of 2018.
Implementation of the Green Productivity Strategy in Achieving Food Security through the Role of Education
Authors: Munawaroh  , Wibowo I , Ifada LM , Hamdani H MA , Kamaludin  
Published: October 2023

Abstract
Building a food security system involves all main actors including the community, government, industry and education. The Green Productivity Strategy can be applied in the education system at all levels of education with the stages of awareness, improvement and maintenance. A boarding school education foundation in Bekasi City that manages primary to senior secondary education levels was selected as a pilot project to describe the implementation of the Green Productivity Strategy and illustrate the strength of food security in the school, foundation and family environment. Paired Sample T-Test results show that there are differences in the improvement stage based on the level of education because tools, methods, technology and experts are required according to the needs in the era of knowledge and technology. The results of this study also show that the implementation of green productivity through education is a method that is expected to be integrated with all key actors to foster a culture of socializing with nature and the environment from an early age as an effort to welcome the demographic bonus in strengthening food security.
Study on laser prepared reinforcement unit distribution of large scale non-uniform hardness surface of gray cast iron against wear
Authors: Pang Xiuyun , Gu Zhengwei , Zhang Peng , Zhou Hong 
Published: October 2023

Abstract
By mimicking the ‘non-smooth structural unit’ of the dung beetle’s cuticle layer through laser, a large-scale striped surface structure with alternating hard and soft areas was fabricated on gray cast iron, which effectively enhanced various properties. This work investigated the impact of different distributions of the striped reinforcement units on wear resistance by introducing distinct local reinforcement areas on the surface. By integrating finite element analysis, an in-depth study of the wear resistance mechanism of the striped bionic samples was conducted. The findings highlight that different distributions of the striped reinforcement units significantly influence the surface stress distribution. In this work, the increase in wear resistance is directly proportional to the uniformity of the reinforcement units’ distribution. Notably, the wear resistance is optimized when the reinforcement units are uniformly dispersed at a spacing of 4.2 mm.
Equivariant neural networks for spin dynamics simulations of itinerant magnets
Authors: Miyazaki Yu 
Published: October 2023

Abstract
I present a novel equivariant neural network architecture for the large-scale spin dynamics simulation of the Kondo lattice model. This neural network mainly consists of tensor-product-based convolution layers and ensures two equivariances: translations of the lattice and rotations of the spins. I implement equivariant neural networks for two Kondo lattice models on two-dimensional square and triangular lattices, and perform training and validation. In the equivariant model for the square lattice, the validation error (based on root mean squared error) is reduced to less than one-third compared to a model using invariant descriptors as inputs. Furthermore, I demonstrate the ability to simulate phase transitions of skyrmion crystals in the triangular lattice, by performing dynamics simulations using the trained model.