bluuebunny/crossref_metadata_2025_split huggingface dataset:
Livelihood vulnerability of post-disaster rehabilitation in Banda Aceh and its neighbouring gampongs
Authors: Zikri I , Takahashi M , Salsabila M , Hamid A H , Ginting L N , Sofyan  
Published: February 2024

Abstract
The reconstruction regime provides the foundation for the progress and sustainability of development in disaster-affected areas. The process and results of the intervention have relations and implications for change, resilience, and vulnerability of people’s livelihoods. This study aims to assess the dynamics of change, livelihood aspects, and social vulnerability of communities in Banda Aceh and surrounding gampongs. This study used a household approach as the unit of analysis. The survey was conducted on 1000 households in 50 gampongs using proportional random sampling. Data analysis employs a descriptive approach. The main findings of this study show changes in livelihood structure, especially in the trade and services sector. The condition of people’s livelihood assets is relatively moderate, and human capital and financial capital have a weak score compared to others. The level of social vulnerability of the community is low, where the economic aspect is an important indicator that contributes to vulnerability.
Reliability Analysis of a Four-legged Jacket Offshore Platform: A Case Study
Authors: Hastuti  , Prastianto RW , rosyid D M , Syalsabila F , Syarifudin M R 
Published: February 2024

Abstract
Offshore oil and gas exploration and exploitation requires reliable infrastructure. One crucial issue to consider is the reliability of the structure. Structural designs generally use deterministic or fixed values in their calculations. However, the factors involved in the design process may be random variables, such as environmental loads, materials, dimensions, and operational conditions, which may vary. Therefore, when calculating the reliability of a structure, these random variables must be treated with the science of statistics and probability. This research uses probabilistic and statistical methods via the Monte Carlo method to analyze the reliability of offshore jacket structures. The jacket platform is destined for the four-legged Java Sea around Gresik, Indonesia. The research results show that the Jacket platform has a high level of reliability for operating loads of K = 0.9883 and extreme loads of K = 0.9963 based on reliability analysis using the Monte Carlo Simulation method. Although the reliability figure does not exceed 1, this can be taken as a sign that the Jacket platform is declared safe in the analyzed situations. This reliability analysis ensures that the jacket platform is reliable and safe in dealing with the various environmental conditions and loads encountered during its operational life.
Modelling a sorghum logistics as a substitution of wheat to encourage food diversification program and enhance the productivity of local crops
Authors: Hadi F. , Devintasari D. V. , Suryoatmojo A. 
Published: February 2024

Abstract
the current diet trend in Indonesia suggests noodles made from wheat as the alternative to rice. This condition leads Indonesia to import the wheat as much as 11.5 million tonnes per year. In fact, Indonesia has become the world’s second largest wheat importer and ranks among East Asia’s largest staple food importers, mainly for wheat. The distribution of wheat commodity is being hampered due to the conflict between Russia and Ukraine, both of whom are major wheat suppliers in global market. As a solution, President of Indonesia, declaring a means to utilise other crops or implementing food diversification by using sorghum. Sorghum is a grain that able to thrive in tropical and dry areas, such as Indonesia and is possible to substitute that of some wheat. This final project aims to plan door to door sorghum logistic model whenever used as a substitution of wheat in a dry noodle factory located in Sidoarjo Regency by acquiring the lowest cost and a scheduling of sorghum deliveries to fulfil daily demand of the factory itself. The method applied to model the logistic planning is Vehicle Routing Problem (VRP) to determine which scenario giving the most minimum cost. The result of the analysis performed showing that the operational pattern chosen is port to port with voyage charter option obtained a freight cost of Rp17.549.076.988 or a unit cost of Rp558.571 /ton. The scheduling model shows that scenario of warehouse renting in every field is chosen and by doing the sensitivity analysis giving the total cost of Rp11.566.026.812 which includes trucking cost, warehouse cost, and stacking cost. The result shows the overall cost of the sorghum logistic model is Rp29.115.103.800 or equal to Rp926.708 /ton. Furthermore, the partial substitution of sorghum flour for wheat flour results in an 9,81% rise in production costs
The impact on downstream policy implementation for mineral export products in Indonesia: marine transportation point of view
Authors: Lazuardi S D , Hadi F , Devintasari D V , Wuryaningrum P , Riduwan M , Noarista O S , Alifia S F 
Published: February 2024

Abstract
Indonesia is a country with abundant natural resources, particularly for metal mineral mining. In 2020, Indonesia is recorded to have approximately 1.2 billion tons of bauxite ore reserves, which made Indonesia the 6th largest owner of bauxite reserves in the world. Apart from bauxite, around 52% or 72 million tonnes of world nickel reserves are also located in Indonesia. However, most of the bauxite and nickel mining production have been exported in the form of ore or concentrate, which has a much lower selling value compared to the processed products. Therefore, the Indonesian government imposed a ban on the export of unprocessed minerals through Law Number 3 of 2020. The export ban is intended for mineral mining products, especially bauxite and nickel, to be processed first into semi-finished goods or finished goods, to provide added value in terms of foreign exchange for Indonesia. This study aims to determine the impact on the implementation of the downstream program, especially for nickel mineral product from marine transportation point of view. The method used in this study is optimizing non-linear programming to determine the type and number of fleets needed to transport nickel from the mine site to the smelter and its processed products from the smelter to the importing country by considering the minimum unit transport costs. The output of this research is the configuration of the sea transport fleet required for the implementation of the mineral product downstream program as well as the potential added value of transporting those processed products into the Indonesia‘s balance of payment.
Formulation and selection of blue economy operational business strategy using Montecarlo Simulation and Multi Criteria Decision Making
Authors: Siswanto N , Rayhan M , Rosdaniah SI 
Published: February 2024

Abstract
The Cirebon Government has provided guidelines for the establishment of mangrove ecotourism aimed at reducing the level of mangrove damage in Cirebon, which has reached 75%. One of the newly established mangrove ecotourism sites in January 2023 is the “Kasih Sayang Mangrove Ecotourism Area.” This tourism destination focuses solely on the natural beauty of the mangrove ecosystem, generating revenue from entrance tickets and parking fees. Therefore, a business operational strategy is needed to increase income and the number of visitors. The strategy design is based on the Internal Factor Evaluation (IFE) Matrix, External Factor Evaluation (EFE) Matrix, Internal-External (IE) Matrix, and the General Strategy of Blue Economy, resulting in three alternative strategies: Mangrove Planting Scheme for Tourists, Paddling Attractions for Tourists, and Utilization of Mangrove Trees as Souvenirs. The selected alternative strategy, using the Monte Carlo Simulation and Multi-Criteria Decision-Making approach, is the Paddling Attractions for Tourists, with an average Net Present Value of Rp 92,210,01, an investment of Rp 544,298,000, an additional 5 local workers, and an estimated 14,598 kg of waste.
Impact of preparation methods on the performance of Cu/Ni/Zr catalysts for methanol decomposition
Authors: Chen Yexin , Jiang Yankun , Zhang Beidong , Lu Yixin , Wang Beichen 
Published: February 2024

Abstract
Utilizing waste heat from engine exhausts to decompose methanol into a hydrogen (H2) and carbon monoxide (CO) mixture, subsequently reintroduced into the engine, offers a significant potential to enhance engine efficiency and reduce emissions. The efficacy of the catalyst is crucial, as it directly influences the composition of the decomposition gases, thereby impacting energy conservation and emissions reduction. This study investigates the impact of various preparation methods for the self-developed Cu/Ni/Zr catalyst for methanol hydrogenation decomposition. These techniques include the co-precipitation method, co-impregnation method, and citrate complexation method, evaluated within a temperature spectrum of 220 °C–320 °C. Employing analytical methods such as x-ray Photoelectron Spectroscopy (XPS), x-ray Diffraction (XRD), Thermogravimetric Analysis-Differential Scanning Calorimetry (TGA-DSC), Brunauer–Emmett–Teller (BET), Temperature-Programmed Reduction (TPR), and Scanning Electron Microscopy (SEM) analysis, the study elucidates the mechanism of methanol decomposition catalyzed by Cu/Ni/Zr. The findings indicate that the catalyst’s activity, in terms of decomposition rate and hydrogen content, ranks in descending order from the co-impregnation method, followed by the citrate complexation method, to the co-precipitation method.
Composition-driven Mott transition within SrTi 1−x
V x
O3
Authors: James A D N , Aichhorn M , Laverock J 
Published: February 2024

Abstract
The last few decades has seen the rapid growth of interest in the bulk perovskite-type transition metal oxides SrVO3 and SrTiO3. The electronic configuration of these perovskites differs by one electron associated to the transition metal species which gives rise to the drastically different electronic properties. Therefore, it is natural to look into how the electronic structure transitions between these bulk structures by using doping. Measurements of the substitutional doped SrTi

1
−
x

V

x

O3 shows an metal–insulator transition (MIT) as a function of doping. By using supercell density functional theory with dynamical mean field theory (DFT+DMFT), we show that the MIT is indeed the result of the combination of local electron correlation effects (Mott physics) within the

t

2
g

orbitals and the atomic site configuration of the transition metals which may indicate dependence on site disorder. SrTi

1
−
x

V

x

O3 may be an ideal candidate for benchmarking cutting-edge Mott–Anderson models of real systems. We show that applying an effective external perturbation on SrTi

1
−
x

V

x

O3 can switch the system between the insulating and metallic phase, meaning this is a bulk system with the potential use in Mott electronic devices.
Numerical analysis of flow and combustion of Coal-Ammonia blend in coal-fired furnace
Authors: Rekhraj Simranjeet Kaur , Hasini Hasril 
Published: February 2024

Abstract
Co-firing ammonia (NH3) in coal-fired power plants presents an attractive method to expedite the global decarbonization process. Nevertheless, the challenge lies in reconciling the need for higher temperatures within the furnace with the imperative of maintaining low nitrogen oxides (NOx) emissions, which limits the widespread use of NH3 as a fuel. In this article, the flow and combustion of coal-NH3 blends in a 3 × 700 MW tangentially-fired utility coal boiler furnace are investigated using Computational Fluid Dynamics (CFD). The impact of NH3 blending ratios is examined through numerically simulated combustion involving five co-firing ratios (CRs) of NH3, including 0%, 10%, 20%, 30%, and 50%. Various combustion properties are assessed, including the furnace’s temperature profile, flow distribution, species emissions, pollutant formation, and heat generation. To validate the approach, single coal and coal blend simulations performed depicted reasonable agreement in predicting furnace flame temperatures. The predicted flue gas temperature exhibited a decrease with an increase in NH3 CR, leading to a reduction in the furnace’s heat generation. Regarding flow characteristics, there was a notable increase in velocity as the concentration of NH3 was raised. The elevated NH3 content correlated with an observed rise in oxygen (O2) residue in the rear pass, coupled with a decrease in both carbon dioxide (CO2) and carbon monoxide (CO) concentrations. Pollutant formation, assessed in terms of nitrogen oxide (NO) emissions, revealed an increase in concentration with the rise in NH3 CR. Indeed, these findings suggest a promising strategy for adopting NH3 as a viable alternative to coal, representing an effective carbon-neutral fuel for the future.
Whole value at risk for flood damage estimates through spatial data analysis
Authors: Martyn Nicholas Q J , Karney Bryan W , Posen I Daniel 
Published: February 2024

Abstract
Effective disaster risk reduction (DRR) for flooding requires a comprehensive estimate of the whole value at risk (WVAR) to inform appropriate and proportionate mitigation expenditure. Conventional flood risk estimation methods focus on the direct effects of inundation on community value and generally ignore collateral effects on assets and populations outside the flooded area. Consequently, conventional methods tend to underestimate the cost of flooding, leading to an underestimate of the return on DRR investment. Using spatial data analysis in an urban case study for Toronto, Canada, we identify and capture the collateral value at risk (ColVaR) to estimate the WVAR more comprehensively. In our case study, ColVaR (mean estimate) amounts to 70% of direct losses (ColVar = $344 M; direct losses = $475 M CAD), ranging from 20%–150% (ColVar $100–$740 M) when spanning the 90% confidence intervals of our Monte Carlo simulations. Thus, we demonstrate that if the collateral value at risk is ignored, WVAR can be significantly underestimated, potentially leading to reduced disaster risk reduction resource allocations and thereby adding risk exposure for communities. We present an accessible, seven-step process using existing spatial analysis tools and techniques that infrastructure stakeholders and planners can use to estimate ColVaR and better formulate DRR measures for their communities.
A Chromosome-Level Genome Assembly and Annotation for the Clouded Apollo Butterfly (Parnassius mnemosyne): A Species of Global Conservation Concern
Authors: Höglund Jacob , Dias Guilherme , Olsen Remi-André , Soares André , Bunikis Ignas , Talla Venkat , Backström Niclas 
Published: February 2024

AbstractThe clouded apollo (Parnassius mnemosyne) is a palearctic butterfly distributed over a large part of western Eurasia, but population declines and fragmentation have been observed in many parts of the range. The development of genomic tools can help to shed light on the genetic consequences of the decline and to make informed decisions about direct conservation actions. Here, we present a high-contiguity, chromosome-level genome assembly of a female clouded apollo butterfly and provide detailed annotations of genes and transposable elements. We find that the large genome (1.5 Gb) of the clouded apollo is extraordinarily repeat rich (73%). Despite that, the combination of sequencing techniques allowed us to assemble all chromosomes (nc = 29) to a high degree of completeness. The annotation resulted in a relatively high number of protein-coding genes (22,854) compared with other Lepidoptera, of which a large proportion (21,635) could be assigned functions based on homology with other species. A comparative analysis indicates that overall genome structure has been largely conserved, both within the genus and compared with the ancestral lepidopteran karyotype. The high-quality genome assembly and detailed annotation presented here will constitute an important tool for forthcoming efforts aimed at understanding the genetic consequences of fragmentation and decline, as well as for assessments of genetic diversity, population structure, inbreeding, and genetic load in the clouded apollo butterfly.
(Dis)honorably discharged: identifying policy gaps in military–civilian reintegration
Authors: Reid Tavis , Sims Kaitlyn M 
Published: February 2024

Abstract
Despite the substantial transition assistance available for honorably separating servicemembers, 75% of US veterans report difficulties with the transition to civilian life. For the 16% of veterans who separate with less-than-honorable discharges, these difficulties are compounded by the lack of structural support from the US military. Social stigma, limited transition programming, and loss of benefits create a perfect storm of barriers for these discharged servicemembers. These barriers compound with post-service mental and physical health challenges to contribute to cycles of misconduct that can result in criminal incarceration. Further, because most of these veterans lack health benefits from the Department of Veterans Affairs due to their discharge status, this population is substantially understudied from a public health perspective. However, actionable policy paths forward and federal policy change offer opportunity to soften the landing for these veterans and meet their legitimate needs for care.
Intelligent optimization of axial-flow pump using physics-considering machine learning
Authors: Kan Kan , Zhou Jie , Feng Jiangang , Xu Hui , Zheng Yuan , Chen Huixiang , Chen Jinbo 
Published: February 2024

Abstract
To address the significant energy waste generated by axial flow pumps, this paper proposes an intelligent optimization method based on physics-considering machine learning. First, a highly parameterized geometric design theory is constructed using six featured variables to achieve a complete three-dimensional modeling of the blade geometry. Four hundred preliminary cases are studied using the computational fluid dynamics method with various combinations of these featured variables to obtain a preliminary solution. The best preliminary design has an efficiency of 83.33%, and a head of 5.495 m. To further improve this performance, this paper also presents a high-precision prediction model for the energy performance of axial flow pump based on back-propagation neural network and the encoding layers of random sampling and local feature aggregator network created. Afterwards, a multi-population genetic algorithm is used to quickly find the optimal solution within the prediction mode range. The algorithm achieved a highest efficiency of 86.373% and was validated by numerical simulation with a value of 86.057% and a prediction error of 0.316%. Compared with the preliminary solution, the efficiency of the optimized axial flow pump is increased by 1.615%, with a wider high-efficiency range and an optimal operating point closer to the design conditions. Overall, this intelligent optimization method has the potential to significantly reduce the design time of axial pumps and increase their performance.
‘It’s not like you’re delivering Amazon packages’: A qualitative study and thematic analysis exploring older victims’ perspectives on how the police responded to their crime report
Authors: West Georgia , Satchell Jessica , Ford Paul , Serfaty Marc 
Published: February 2024

Abstract
Crime can be psychologically distressing for older victims, but their needs are poorly understood by the police. Using data from 27 in-depth semi-structured interviews with older victims who reported their crime to the Metropolitan Police Service in London (UK), we inductively explored their perceptions of how officers responded. We found that, whilst experiences and opinions varied, the actions of the police appeared to shape older victims’ psychological outcomes. Showing concern for older victims’ welfare, apologizing for oversights, and communicating case progress were helpful actions from officers. Lengthy responses, failure to acknowledge emotional harm and reduced presence of officers on the street, were considered not helpful. Our recommendations include flagging older victims to be contacted on more than one occasion post-crime, expanding routine training to encourage sensitive communication with this population, and online implementation of procedural justice training.
Amphiregulin improves ventricular remodeling after myocardial infarction by modulating autophagy and apoptosis
Authors: Li Nana , Xia Ni , He Junyi , Liu Meilin , Gu Muyang , Lu Yuzhi , Yang Haoyi , Hao Zhiheng , Zha Lingfeng , Wang Xuhong , Wang Weimin , Hu Desheng , Hu Jiong , Cheng Xiang 
Published: February 2024

AbstractMyocardial infarction (MI) is defined as sudden ischemic death of myocardial tissue. Amphiregulin (Areg) regulates cell survival and is crucial for the healing of tissues after damage. However, the functions and mechanisms of Areg after MI remain unclear. Here, we aimed to investigate Areg's impact on myocardial remodeling. Mice model of MI was constructed and Areg−/− mice were used. Expression of Areg was analyzed using western blotting, RT–qPCR, flow cytometry, and immunofluorescence staining. Echocardiographic analysis, Masson's trichrome, and triphenyltetrazolium chloride staining were used to assess cardiac function and structure. RNA sequencing was used for unbiased analysis. Apoptosis and autophagy were determined by western blotting, TUNEL staining, electron microscopy, and mRFP‐GFP‐LC3 lentivirus. Lysosomal acidity was determined by Lysotracker staining. Areg was elevated in the infarct border zone after MI. It was mostly secreted by macrophages. Areg deficiency aggravated adverse ventricular remodeling, as reflected by worsening cardiac function, a lower survival rate, increased scar size, and interstitial fibrosis. RNA sequencing analyses showed that Areg related to the epidermal growth factor receptor (EGFR), phosphoinositide 3‐kinase/protein kinase B (PI3K‐Akt), mammalian target of rapamycin (mTOR) signaling pathways, V‐ATPase and lysosome pathways. Mechanistically, Areg exerts beneficial effects via increasing lysosomal acidity to promote autophagosome clearance, and activating the EGFR/PI3K/Akt/mTOR signaling pathway, subsequently inhibiting excessive autophagosome formation and apoptosis in cardiomyocytes. This study provides a novel evidence for the role of Areg in inhibiting ventricular remodeling after MI by regulating autophagy and apoptosis and identifies Areg as a potential therapeutic target in ventricular remodeling after MI.