bluuebunny/crossref_metadata_2025 huggingface dataset:
Solar Flare Effects in the Martian Ionosphere and Magnetosphere: 3‐D Time‐Dependent MHD‐MGITM Simulation and Comparison With MAVEN and MGS
Authors: Fang Xiaohua , Ma Yingjuan , Pawlowski David , Curry Shannon
Published: September 2024

A comprehensive modeling study has been conducted to investigate space weather effects at Mars during the 10 September 2017 solar flare, utilizing an integrated framework that combines the global magnetohydrodynamic (MHD) model and Mars Global Ionosphere‐Thermosphere Model (MGITM). This is the first time the thermosphere‐ionosphere‐magnetosphere system is self‐consistently simulated under realistic, time‐varying conditions. Our simulations align well with observations from the Mars Atmosphere and Volatile EvolutioN (MAVEN). Recognizing that complexities due to highly disturbed upstream conditions and rotating crustal fields obscure solar flare effects in orbit‐to‐orbit comparisons, we perform controlled simulations of nonflare and flare cases and exploit their contrast to quantify spatiotemporal variations in flare impact. Our results highlight pronounced and rapid dayside ionospheric perturbations, contrasting with weaker and delayed nightside responses. Notably, in the topside ionosphere, and C densities increase primarily on the dayside below 300 km altitude, peaking with an increase of 20%–30%. The density shows a more significant increase of up to 50%, extending into the magnetosphere and nightside via plasma transport, increasing its total loss rate by 14%. We observe distinct altitude‐dependent patterns in dayside electron density enhancements in percent, characterized by a weakening with altitude and a rapid decay below 150 km in line with the flare development, and a gradual intensification between 150–300 km due to plasma transport and flare‐induced atmospheric upwelling. Earlier Mars Global Surveyor observations were limited to the low‐altitude pattern due to atmospheric expansion and missed the higher altitude variations observed by MAVEN.
The Polarity Oscillations of the Equatorial Electrojet in Response to the Geomagnetic Storm on 1 December 2023
Authors: Zhang Kedeng , Wang Hui , Song Huimin
Published: September 2024

The moderate geomagnetic storm on 1 December 2023 is interesting that the aurora is unexpectedly observed in Beijing. During this storm, the behaviors of the equatorial electrojet (EEJ) might deserve to be explored. When the polarization of the daytime electric field changes westward, the direction of EEJ turns westward as well, termed the counter electrojet (CEJ). Using the total electron content from Global Navigation Satellite System, observed EEJ from Tatuoca station and low‐orbit Swarm satellites, and the corresponding simulations from the Thermosphere‐Ionosphere Electrodynamic General Circulation Model, the polarization oscillations of EEJ responses (ΔEEJ) during the geomagnetic storm on 1 December 2023 are explored. A significant polarity oscillation is established in the Swarm‐observed ΔEEJ at 9.6 and 12.8 local time (LT). A similar oscillation is also found at 15 LT. The strong polarity oscillations of ΔEEJ are dominated by the electric field, with ignorable effects from the ionospheric Cowling conductivity. The correlation coefficient between ΔEEJ and electric field changes (ΔE) is larger than 0.87, confirming the roles of the electric field. In the pre‐noon sector, the quasi‐oscillations of ΔEEJ are controlled by both the neutral winds and the prompt penetration electric field (PPEF). At noon, ΔEEJ is primarily driven by the PPEF, with minor effects from neutral winds. At afternoon, ΔEEJ is attributed to the PPEF, and the effects of neutral winds are ignorable.
The Thermal Structure and Composition of Jupiter's Great Red Spot From JWST/MIRI
Authors: Harkett Jake , Fletcher Leigh N. , King Oliver R. T. , Roman Michael T. , Melin Henrik , Hammel Heidi B. , Hueso Ricardo , Sánchez‐Lavega Agustín , Wong Michael H. , Milam Stefanie N. , Orton Glenn S. , de Kleer Katherine , Irwin Patrick G. J. , de Pater Imke , Fouchet Thierry , Rodríguez‐Ovalle Pablo , Fry Patrick M. , Showalter Mark R.
Published: September 2024

Jupiter's Great Red Spot (GRS) was mapped by the James Webb Space Telescope (JWST)/Mid‐Infrared Instrument (4.9–27.9 m) in July and August 2022. These observations took place alongside a suite of visual and infrared observations from; Hubble, JWST/NIRCam, Very Large Telescope/VISIR and amateur observers which provided both spatial and temporal context across the jovian disc. The stratospheric temperature structure retrieved using the NEMESIS software revealed a series of hot‐spots above the GRS. These could be the consequence of GRS‐induced wave activity. In the troposphere, the temperature structure was used to derive the thermal wind structure of the GRS vortex. These winds were only consistent with the independently determined wind field by JWST/NIRCam at 240 mbar if the altitude of the Hubble‐derived winds were located around 1,200 mbar, considerably deeper than previously assumed. No enhancement in ammonia was found within the GRS but a link between elevated aerosol and phosphine abundances was observed within this region. North‐south asymmetries were observed in the retrieved temperature, ammonia, phosphine and aerosol structure, consistent with the GRS tilting in the north‐south direction. Finally, a small storm was captured north‐west of the GRS that displayed a considerable excess in retrieved phosphine abundance, suggestive of vigorous convection. Despite this, no ammonia ice was detected in this region. The novelty of JWST required us to develop custom‐made software to resolve challenges in calibration of the data. This involved the derivation of the “FLT‐5” wavelength calibration solution that has subsequently been integrated into the standard calibration pipeline.
A Unified Formulation of Quasi‐Geostrophic and Shallow Water Equations via Projection
Authors: Thiry Louis , Li Long , Mémin Etienne , Roullet Guillaume
Published: September 2024

This paper introduces a unified model for layered rotating shallow‐water (RSW) and quasi‐geostrophic (QG) equations, based on the intrinsic relationship between these two sets of equations. We propose a novel formulation of the QG equations as a projection of the RSW equations. This formulation uses the same prognostic variables as RSW, namely velocity and layer thickness, thereby restoring the proximity of these two sets of equations. It provides direct access to the ageostrophic velocities embedded within the geostrophic velocities resolved by the QG equations. This approach facilitates the study of differences between QG and RSW using a consistent numerical discretization. We demonstrate the effectiveness of this formulation through examples including vortex shear instability, double‐gyre circulation, and a simplified North Atlantic configuration.
Evaluation of risk for bronchiolitis obliterans syndrome after allogeneic hematopoietic cell transplantation with myeloablative conditioning regimens
Authors: Duque-Afonso Jesús , Rassner Paraschiva , Walther Kristin , Ihorst Gabriele , Wehr Claudia , Marks Reinhard , Wäsch Ralph , Bertz Hartmut , Köhler Thomas , Frye Björn Christian , Stolz Daiana , Zeiser Robert , Finke Jürgen , Maas-Bauer Kristina
Published: September 2024

Bronchiolitis obliterans syndrome (BOS), as chronic manifestation of graft-versus-host disease (GVHD), is a debilitating complication leading to lung function deterioration in patients after allogeneic hematopoietic cell transplantation (allo-HCT). In the present study, we evaluated BOS development risk in patients after receiving myeloablative conditioning (MAC) regimens. We performed a retrospective analysis of patients undergoing allo-HCT, who received MAC with busulfan/cyclophosphamid (BuCy, n = 175) busulfan/fludarabin (FluBu4, n = 29) or thiotepa/busulfan/fludarabine (TBF MAC, n = 37). The prevalence of lung disease prior allo-HCT, smoking status, GvHD prophylaxis, HCT-CI score, EBMT risk score and GvHD incidence varied across the groups. The cumulative incidence of BOS using the NIH diagnosis consensus criteria at 2 years after allo-HCT was 8% in FluBu4, 23% in BuCy and 19% in TBF MAC (p = 0.07). In the multivariate analysis, we identified associated factors for time to BOS such as FEV1<median (99% of predicted) (HR = 2.39, p = 0.004), CMV patient serology positivity (HR = 2.11, p = 0.014), TLC < 80% of predicted (HR = 0.12, p = 0.02) and GvHD prophylaxis with in vivo T-cell depletion (HR = 0.29, p = 0.001) as predictors of BOS. In summary, we identified risk factors for BOS development in patients receiving MAC conditioning. These findings might serve to identify patients at risk, who might benefit from closely monitoring or early therapeutic interventions.
Spatial multiplexed immunofluorescence analysis reveals coordinated cellular networks associated with overall survival in metastatic osteosarcoma
Authors: Lacinski Ryan A. , Dziadowicz Sebastian A. , Melemai Vincent K. , Fitzpatrick Brody , Pisquiy John J. , Heim Tanya , Lohse Ines , Schoedel Karen E. , Llosa Nicolas J. , Weiss Kurt R. , Lindsey Brock A.
Published: September 2024

Patients diagnosed with advanced osteosarcoma, often in the form of lung metastases, have abysmal five-year overall survival rates. The complexity of the osteosarcoma immune tumor microenvironment has been implicated in clinical trial failures of various immunotherapies. The purpose of this exploratory study was to spatially characterize the immune tumor microenvironment of metastatic osteosarcoma lung specimens. Knowledge of the coordinating cellular networks within these tissues could then lead to improved outcomes when utilizing immunotherapy for treatment of this disease. Importantly, various cell types, interactions, and cellular neighborhoods were associated with five-year survival status. Of note, increases in cellular interactions between T lymphocytes, positive for programmed cell death protein 1, and myeloid-derived suppressor cells were observed in the 5-year deceased cohort. Additionally, cellular neighborhood analysis identified an Immune-Cold Parenchyma cellular neighborhood, also associated with worse 5-year survival. Finally, the Osteosarcoma Spatial Score, which approximates effector immune activity in the immune tumor microenvironment through the spatial proximity of immune and tumor cells, was increased within 5-year survivors, suggesting improved effector signaling in this patient cohort. Ultimately, these data represent a robust spatial multiplexed immunofluorescence analysis of the metastatic osteosarcoma immune tumor microenvironment. Various communication networks, and their association with survival, were described. In the future, identification of these networks may suggest the use of specific, combinatory immunotherapeutic strategies for improved anti-tumor immune responses and outcomes in osteosarcoma.
Tracking neurons across days with high-density probes
Authors: van Beest Enny H. , Bimbard Célian , Fabre Julie M. J. , Dodgson Sam W. , Takács Flóra , Coen Philip , Lebedeva Anna , Harris Kenneth D. , Carandini Matteo
Published: September 2024

Neural activity spans multiple time scales, from milliseconds to months. Its evolution can be recorded with chronic high-density arrays such as Neuropixels probes, which can measure each spike at tens of sites and record hundreds of neurons. These probes produce vast amounts of data that require different approaches for tracking neurons across recordings. Here, to meet this need, we developed UnitMatch, a pipeline that operates after spike sorting, based only on each unit’s average spike waveform. We tested UnitMatch in Neuropixels recordings from the mouse brain, where it tracked neurons across weeks. Across the brain, neurons had distinctive inter-spike interval distributions. Their correlations with other neurons remained stable over weeks. In the visual cortex, the neurons’ selectivity for visual stimuli remained similarly stable. In the striatum, however, neuronal responses changed across days during learning of a task. UnitMatch is thus a promising tool to reveal both invariance and plasticity in neural activity across days.
Generative language models on nucleotide sequences of human genes
Authors: İhtiyar Musa Nuri , Özgür Arzucan
Published: September 2024

Language models, especially transformer-based ones, have achieved colossal success in natural language processing. To be precise, studies like BERT for natural language understanding and works like GPT-3 for natural language generation are very important. If we consider DNA sequences as a text written with an alphabet of four letters representing the nucleotides, they are similar in structure to natural languages. This similarity has led to the development of discriminative language models such as DNABERT in the field of DNA-related bioinformatics. To our knowledge, however, the generative side of the coin is still largely unexplored. Therefore, we have focused on the development of an autoregressive generative language model such as GPT-3 for DNA sequences. Since working with whole DNA sequences is challenging without extensive computational resources, we decided to conduct our study on a smaller scale and focus on nucleotide sequences of human genes, i.e. unique parts of DNA with specific functions, rather than the whole DNA. This decision has not significantly changed the structure of the problem, as both DNA and genes can be considered as 1D sequences consisting of four different nucleotides without losing much information and without oversimplification. First of all, we systematically studied an almost entirely unexplored problem and observed that recurrent neural networks (RNNs) perform best, while simple techniques such as N-grams are also promising. Another beneficial point was learning how to work with generative models on languages we do not understand, unlike natural languages. The importance of using real-world tasks beyond classical metrics such as perplexity was noted. In addition, we examined whether the data-hungry nature of these models can be altered by selecting a language with minimal vocabulary size, four due to four different types of nucleotides. The reason for reviewing this was that choosing such a language might make the problem easier. However, in this study, we found that this did not change the amount of data required very much.
Deep learning domain adaptation to understand physico-chemical processes from fluorescence spectroscopy small datasets and application to the oxidation of olive oil
Authors: Michelucci Umberto , Venturini Francesca
Published: September 2024

Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, with applications in environmental monitoring, food quality control, and biomedical diagnostics. However, analysis of spectroscopic data with deep learning, in particular of fluorescence excitation-emission matrices (EEMs), presents significant challenges due to the typically small and sparse datasets available. Furthermore, the analysis of EEMs is difficult due to their high dimensionality and overlapping spectral features. This study proposes a new approach that exploits domain adaptation with pretrained vision models, along with a novel interpretability algorithm to address these challenges. Thanks to specialised feature engineering of the neural networks described in this work, we are now able to provide deeper insights into the physico-chemical processes underlying the data. The proposed approach is demonstrated through the analysis of the oxidation process in extra virgin olive oil (EVOO), showing its effectiveness in predicting quality indicators and identifying the spectral bands and thus the molecules involved in the process. This work describes a significantly innovative approach to deep learning for spectroscopy, transforming it from a black box into a tool for understanding complex biological and chemical processes.
Attentional templates for target features versus locations
Authors: Jimenez Mikel , Wang Ziyi , Grubert Anna
Published: September 2024

Visual search is guided by visual working memory representations (i.e., attentional templates) that are activated prior to search and contain target-defining features (e.g., color). In the present study, we tested whether attentional templates can also contain spatial target properties (knowing where to look for) and whether attentional selection guided by such feature-specific templates is equally efficient than selection that is based on feature-specific templates (knowing what to look for). In every trial, search displays were either preceded by semantic color or location cues, indicating the upcoming target color or location, respectively. Qualitative differences between feature- and location-based template guidance were substantiated in terms of selection efficiency in low-load (one target color/location) versus high-load trials (two target colors/locations). Behavioral and electrophysiological (N2pc) measures of target selection speed and accuracy were combined for converging evidence. In line with previous studies, we found that color search was highly efficient, even under high-low conditions, when multiple attentional templates were activated to guide attentional selection in a spatially global fashion. Importantly, results in the location task almost perfectly mirrored the findings of the color task, suggesting that multiple templates for different target locations were activated concurrently when two possible target locations were task relevant. Our findings align with accounts that assume a common neuronal network during preparation for location and color search, but regard spatial and feature-based selection mechanisms as independent.
Use of a structure-borne sound-based in-process sensor system to identify Weld seam irregularities during electron beam welding
Authors: Wolf Christian , Sommer Niklas , Böhm Stefan
Published: September 2024

In this publication, an in-process quality assurance method for electron beam welding based on a structure-borne sound emission test for the detection of weld irregularities arising in the process is presented. For this purpose, different sheet materials, i.e., AISI 304, AZ31 and AlMg3, were welded in a butt-joint and the resulting process noises were recorded by means of two acoustic emission sensors specifically designed for structure-borne sound. During the welding experiments, typical irregularities, e.g. incidence points, pore lines and cracks, were deliberately induced. Subsequently, the recorded acoustic signals were examined with regard to defect-specific abnormalities. Various methods in the time and frequency domain as well as pre-trained machine learning models were used to analyze the acoustic emission data. The results show that the investigated irregularities can be identified and distinguished from other process emissions, eventually enabling a robust means of identification for weld seam irregularities and, thus, opening pathways towards cost-effective in-process quality control.
Forensic Ecology
Authors: Wiltshire Patricia
Published: September 2024

The importance of forensic ecology as both an investigative and evidential tool has long been recognised within both the forensic science community and law enforcement. This chapter outlines the field of forensic ecology, describing the kinds of objects and materials that can yield both trace evidence, and other kinds of botanical, mycological, and soil information. Also outlined are the methodological approaches needed to recover the various kinds of evidence. These include appropriate sampling, recording, and analysis, that are necessary to facilitate elimination or implication of exhibits, suspects, and locations during investigative procedures. Key to the value of this range of evidential information is the provision of intelligence and the interpretation of data within the context of a case, and these critical elements are also explored within this chapter.
Marks and Impressions
Authors: Baldwin David , O’Mahoney Caroline
Published: September 2024

Marks and impression evidence is an aspect of forensic science which compares traces (marks) made by, for example, footwear, tyres or different tools recovered at a crime scene, with suspected sources of those marks. This chapter explores aspects of the manufacture of source materials and how manufacturing features, as well as features created through use, can be exploited in the comparison of scene marks and test marks created from seized items. The recovery of these types of marks from crime scenes and the creation of test marks for comparison is discussed and the manner in which forensic scientists subjectively evaluate marks and impression evidence to reach their conclusions is presented.
Drugs of Abuse
Authors: Cole Michael , Baron Mark
Published: September 2024

Legislation around controlled substances and associated offences is introduced in this chapter. The drug classes which are commonly encountered in forensic science laboratories are described. Methods for the analysis, quantification and comparison are highlighted and the requirement for new methods to be found as drug control legislation develops are articulated. Drug profiling and comparison is considered and the numerical methods available for the interrogation of data so generated are touched upon briefly. The use of DNA to identify and compare drugs derived from plants and fungi is also explored. Finally, the need for quality assurance in the laboratory is emphasized.
Polymeric antibubbles with strong ultrasound imaging capabilities
Authors: Barmin Roman A. , Köhler Jens , Pohl Michael , Becker Bea , Kiessling Fabian , Lammers Twan , Poortinga Albert T. , Pallares Roger M.
Published: September 2024

Antibubbles are liquid droplets encapsulated by a gas film and are proposed for ultrasound-triggered drug release. Here, we develop polymeric microbubbles with greater ultrasound imaging response than conventional Pickering-stabilized antibubbles.
Enhanced carrier transport of monolayer MoSe2 through interlayer coupling with in situ grown metal–organic frameworks
Authors: Wang Shan , Zhang Qing , Fan Aiqing , Li Lin , Geng Dechao
Published: September 2024

A novel transfer-free method to fabricate organic–inorganic MoSe2/Ni3(HITP)2 vdWHs provides enhanced possibilities for fabricating high-performance optoelectronic devices and opens up a new avenue for exploring unique interfacial physical phenomena.
Plasmonic circular dichroism-based metal ion detection using gold nanorod–DNA complexes
Authors: Shi Yali , Nakamura Satoshi , Mitomo Hideyuki , Yonamine Yusuke , Wang Guoqing , Ijiro Kuniharu
Published: September 2024

Conformational changes in DNA can be observed by the induced plasmonic optical activity from AuNR–DNA complexes, which has afforded the ability to detect metal ions.
Expression of concern: Designing novel morphologies of l-cysteine surface capped 2D covellite (CuS) nanoplates to study the effect of CuS morphologies on dye degradation rate under visible light
Authors: Iqbal Shahid , Bahadur Ali , Anwer Shoaib , Shoaib Muhammad , Liu Guocong , Li Hao , Raheel Muhammad , Javed Mohsin , Khalid Bilal
Published: September 2024

Expression of concern for ‘Designing novel morphologies of l-cysteine surface capped 2D covellite (CuS) nanoplates to study the effect of CuS morphologies on dye degradation rate under visible light’ by Shahid Iqbal et al., CrystEngComm, 2020, 22, 4162–4173, https://doi.org/10.1039/D0CE00421A.
Exploring the adsorption behavior of O-containing VOCs in human breath on a B2N monolayer using DFT simulations
Authors: Rahimi Rezvan , Solimannejad Mohammad
Published: September 2024

The present study results may have significant implications for utilizing B2N nanosheets for detecting O-containing VOCs in human breath, which could facilitate early disease diagnosis.
All-atom molecular dynamics simulations showing the dynamics of small organic molecules in water–solvated polyelectrolyte brush layers
Authors: Smook Leon A. , Ishraaq Raashiq , Akash Tanmay Sarkar , de Beer Sissi , Das Siddhartha
Published: September 2024

We study the absorption of small organic molecules in polyelectrolyte brush layers in atomistic detail for the first time.
Research progress on photocatalytic, electrocatalytic and photoelectrocatalytic selective oxidation of 5-hydroxymethylfurfural
Authors: An Yang , Lei Tao , Jiang Weiyi , Pang Huan
Published: September 2024

This paper summarizes the latest research progress in selective photocatalytic, electrocatalytic, and photoelectrocatalytic oxidation of HMF, along with the reaction mechanisms, advantages, and challenges faced during selective HMF oxidation.
Assessing the capability of a model-based stellar XUV estimation
Authors: Shoda Munehito , Namekata Kosuke , Takasao Shinsuke
Published: September 2024

Stellar X-ray and extreme ultraviolet (XUV) emission drives the heating and chemical reactions in planetary atmospheres and proto-planetary disks, and therefore, a proper estimation of a stellar XUV spectrum is required for their studies. One proposed solution is to estimate stellar atmospheric heating using numerical models, although the validation was restricted to the Sun over a limited parameter range. For this study, we extended the validation of the model by testing it with the Sun and three young, nearby solar-type stars with available XUV observational data (κ1 Ceti, π1 UMa, and EK Dra). We first tested the model with the solar observations, examining its accuracy for the activity minimum and maximum phases, its dependence on the loop length, the effect of loop length superposition, and its sensitivity to elemental abundance. We confirm that the model spectrum is mostly accurate both for the activity minimum and maximum, although the high-energy X-rays (λ < 1 nm) are underestimated in the activity maximum. Applying the model to young solar-type stars, we find that it can reproduce the observed XUV spectra within a factor of 3 in the range of 1–30 nm for stars with a magnetic flux up to 100 times that of the Sun (κ1 Ceti and π1 UMa). For a star with 300 times the solar magnetic flux (EK Dra), although the raw numerical data show a systematically lower spectrum than observed, the spectra are in good agreement once corrected for the effect of insufficient resolution in the transition region. For all young solar-type stars, high-energy X-rays (λ < 1 nm) are significantly underestimated, with the deviation increasing with stellar magnetic activity. Furthermore, our model-based estimation shows performance that is comparable to or surpasses that of previous empirical approaches. We also demonstrate that the widely used fifth-order Chebyshev polynomial fitting can accurately reproduce the actual differential emission measure and XUV spectrum. Our findings indicate that the stellar XUV spectrum can be reasonably estimated through a numerical model, given that the essential input parameters (surface magnetic flux and elemental abundance) are known.
A patchy CO2 exosphere on Ganymede revealed by the James Webb Space Telescope
Authors: Bockelée-Morvan Dominique , Poch Olivier , Leblanc François , Zakharov Vladimir , Lellouch Emmanuel , Quirico Eric , de Pater Imke , Fouchet Thierry , Rodriguez-Ovalle Pablo , Roth Lorenz , Merlin Frédéric , Duling Stefan , Saur Joachim , Masson Adrien , Fry Patrick , Trumbo Samantha , Brown Michael , Cartwright Richard , Cazaux Stéphanie , de Kleer Katherine , Fletcher Leigh N. , Milby Zachariah , Moingeon Audrey , Mura Alessandro , Orton Glenn S. , Schmitt Bernard , Tosi Federico , Wong Michael H.
Published: September 2024

Jupiter’s icy moon Ganymede has a tenuous exosphere produced by sputtering and possibly sublimation of water ice. To date, only atomic hydrogen and oxygen have been directly detected in this exosphere. Here, we present observations of Ganymede’s CO2 exosphere obtained with the James Webb Space Telescope. CO2 gas is observed over different terrain types, mainly over those exposed to intense Jovian plasma irradiation, as well as over some bright or dark terrains. Despite warm surface temperatures, the CO2 abundance over equatorial subsolar regions is low. CO2 vapor has the highest abundance over the north polar cap of the leading hemisphere, reaching a surface pressure of 1 pbar. From modeling we show that the local enhancement observed near 12 h local time in this region can be explained by the presence of cold traps enabling CO2 adsorption. However, whether the release mechanism in this high-latitude region is sputtering or sublimation remains unclear. The north polar cap of the leading hemisphere also has unique surface-ice properties, probably linked to the presence of the large atmospheric CO2 excess over this region. These CO2 molecules might have been initially released in the atmosphere after the radiolysis of CO2 precursors, or from the sputtering of CO2 embedded in the H2O ice bedrock. Dark terrains (regiones), more widespread on the north versus south polar regions, possibly harbor CO2 precursors. CO2 molecules would then be redistributed via cold trapping on ice-rich terrains of the polar cap and be diurnally released and redeposited on these terrains. Ganymede’s CO2 exosphere highlights the complexity of surface-atmosphere interactions on Jupiter’s icy Galilean moons.
How Micro-hydro power plant fit in support of SDG 7?
Authors: Utami Putri Lintang , Aisah Siti Nur , Suprapto Nadi , Hidaayatullaah Hasan Nuurul , Arymbekov Beken
Published: September 2024

SDGs establish an evidence-based structure for sustainable development planning and implementation. A micro-hydro power plant (MHPP) is a compact hydroelectric using a non-variable system and enginedriven control for active power generation. Bibliometric research related to Micro-hydro Power Plants to achieve SDG7 needs to be studied more. This study conducted a bibliometric analysis of Micro-hydro Power Plants to investigate their contribution to achieving SDG7. This study aims to (1) analyze the distribution of Micro-hydro Power Plants research to achieving SDG7, (2) analyze countries’ contribution to Micro-hydro Power Plants research, (3) network analysis of Micro-hydro Power Plants research and contribution to achieving SDG7. This bibliometric analysis using VOS viewer and R-Studio Biblioshiny with Scopus database (2014-2024). Research on Micro-hydropower plants increased rapidly in 2018, with Indonesia being the most published document. Micro-hydropower plants contribute to sustainable development goal 7 by providing adequate, sustainable energy. It is environmentally friendly and fulfills energy demands in small communities.
Gugon Tuhon as Java’s local wisdom for supporting sustainable development goals
Authors: Wakhidah Nur , Munawir Munawir , Hanifah Umi , Junaedi Junaedi , Jha Gautam Kumar , Erman Erman
Published: September 2024

Sustainability is a global issue in all countries. Various efforts are made to prevent and overcome damage to the earth’s surface, including through community rules and customs to support sustainability. Qualitative descriptive research was conducted to identify good experiences in community life in the form of Javanese community advice, namely Gugon Tuhon related to SDGs. The research began by taking Gugon Tuhon available on the internet by Agus Suksessetiono; then, a content analysis was carried out to describe the relationship between Gugon Tuhon and sustainable development goals (SDGs). The results of the analysis show that Gugon Tuhon supports sustainable development in the fields of clean water (SDGs 6), good health and welfare (SDGs 3), and zero hunger (SDGs 2). Local wisdom (Gugon Tuhon) must be disseminated through formal education (primary education) and non-formal (family environment) as a scientific context in learning to support sustainability.
Explore action to enhance net zero emission 2050: Research trends and the way forward 13th SDGs?
Authors: Safitri Afaurina Indriana , Suprapto Nadi , Nisa Khoirun , Rofi Mochamad , Arymbekov Beken
Published: September 2024

Net zero emissions are an important step that must be strived to achieve the 13th SDGs goal. This research aims to explore progress in achieving net zero emissions. The systematic review method (PRISMA) is integrated with a bibliometric analysis model with Scopus data sources. The analysis results show that four steps such as decarbonization, renewable energy transition, transportation electrification, and reforestation have proven effective in achieving net zero emissions by 2050. These findings highlight the big challenges in achieving net zero emissions through these four steps, especially in the technology sector. It is recommended that further research be more exploratory in studying technology in achieving net zero emissions, especially in exploring the potential for vehicle electrification and technology in the use of renewable energy sources. The implications of this research can provide support in efforts to achieve environmental balance and can be used as a basis for thinking for further research.
Trends and research on Off-Grid Solar Power Plants to realize the 7th SDG’s
Authors: Hakim Septian Rahman , Hartoyo Hartoyo , Rosadi Sa’adilah , Nursusanto Usman , Sony Arya , Hidayatulloh Indra , Prabowo Cipto Sabdo , Sunarti Titin
Published: September 2024

This study aims to examine the role, trends, and progression of Off-Grid Solar Power Plants in advancing the 7th SDGs. The research methodology employed involves bibliometric analysis utilizing VOSviewer and Biblioshiny tools. VOSviewer and Biblioshiny are used to scrutinize the annual distribution of documents across different countries, institutions, journals, and authors and to determine the interrelation among keywords. The results reveal that Indonesia ranks among the top 10 contributing countries among the 10 countries/regions involved in developing Off-Grid Solar Power Plants. The data utilized in this research is sourced from the Scopus database in .csv format. Alongside data extraction from the Scopus database, this study also investigates the implementation of Off-Grid Solar Power Plants and their installation in the DI Yogyakarta Province.
Optimizing heavy equipment combination in excavation work of a dam channel construction to support SDG 9: A case study in the Jragung Dam Project
Authors: Putri Shelin Mahardika Diani , Nayono Satoto Endar
Published: September 2024

This research aims to analyze the productivity of the excavator and dump truck, evaluate the most efficient combination of excavator and dump truck, and determine the heavy equipment cost required to complete the Jragung Dam channel excavation project. Data collection in this study was carried out using interviews and field observations at the construction site. The results of this study are: (1) excavator productivity was 113.84 m3/hour and dump truck 29.30 m3/hour; (2) alternative combination 1 consists of one excavator unit and four dump truck units, alternative combination 2 consists of two excavator units and eight dump truck units, alternative combination 3 consists of three excavator units and twelve dump truck units; (3) the cost of completing the project on alternative 1 requires 4,836 hours and costs for Mitsubishi dump trucks only is IDR 8,147,774,673.48, Hino dump trucks only is IDR 8,368. 444,351.80 and a combination of two types of dump trucks (Hino and Mitsubishi) is IDR 8,368,444,351.80, alternative 2 requires 2418 hours and costs for Mitsubishi dump trucks are IDR 8,121,163,155.04, Hino dump trucks is IDR 8,562,340,865.57, and a combination of two types of dump trucks is IDR 8,341,752,010.31, alternative 3 takes 1612 hours and costs for Mitsubishi dump trucks amounting to IDR 8,116,260,073.48, Hino dump trucks amounting to IDR 8,557,599,430.12, and a combination of two types of dump trucks amounting to IDR 8,336,929,751.80. Alternatives 2-3 with Mitsubishi dump trucks are more suitable for the project as they have shorter work durations and cheaper costs. By optimizing equipment utilization and identifying cost-effective solutions for the Jragung Dam channel excavation, this research contributes to SDG 9 (Industry, Innovation, and Infrastructure) by promoting efficient and sustainable infrastructure development.
Analysis of agricultural accounting based on Bali’s demographics: Sustainable poverty alleviation strategies within the framework of the SDGs
Authors: Amaliah Tri Handayani , Usman Usman , Niswatin Niswatin , Mahdalena Mahdalena , Husain Siti Pratiwi , Noholo Sahmin , Aqmal Ikhlas Ul
Published: September 2024

This study aims to explore and analyze the forms of accounting practices applied by the Balinese migrant community in West Toili, Central Sulawesi, primarily to support the goals of the SDGs. The study results show that Balinese migrant farmers use only memory to apply accounting records from pre-planting, planting, maintenance, harvesting, and post-harvest activities. In implementing accounting, deep cultural and spiritual values exist at every step of the agricultural cycle. The local cultural values reflect the harmonious relationship between humans, God, and nature. Balinese migrant farmers believe that the local spiritual and cultural power can realize a sustainable net farm income, protecting and guiding them at every stage of the agricultural cycle. In addition, the gratitude expressed in a series of traditional ceremonies in the farming cycle is a long-term obligation to ensure the continuity of their agricultural business. The application of accounting practices based on the characteristics of local wisdom of Balinese migrant farmers is a strength possessed to obtain welfare, which ultimately contributes to the goal of the SDGs. The results of this study can also be used as a basis for the government and policymakers to formulate sustainable agricultural policies by considering the local wisdom of the community in poverty alleviation. In addition, the study in this study can provide of models that can be adopted by other countries that have the same local wisdom, as an effort to develop an environmentally friendly and sustainable agricultural accounting system.
Enhancing entrepreneurial intentions among vocational high school students in online business and marketing in East Java, Indonesia: The role of passion, education, and entrepreneurial skills in supporting SDGs
Authors: Sulistyowati Raya , Sudarwanto Tri , Rakhmawati Dwi Yuli , Maula Farij Ibadil , Biantoro Trie Sis , Narmaditya Bagus Shandy , Ahmad Md Fauzi
Published: September 2024

Answering the need to foster entrepreneurial intention among vocational school students, this study explores the impact of passion, education, and entrepreneurial skills on entrepreneurial intention. Conducted in the context of online business education and marketing in East Java, this study uses a quantitative approach with a sample of 547 students. The findings reveal a significant positive influence of passion, education, and entrepreneurial skills on intention. This study contributes to understanding the interaction of these factors in shaping entrepreneurial aspirations. Practical implications include increasing entrepreneurial activities to boost morale, ultimately encouraging new ventures, and reducing unemployment rates.
Study and trend of the value of nationalism in character religious tolerance: Bibliometric & qualitative analysis towards SDGs
Authors: Setiawan Risky , Aman Aman , Miftahuddin Miftahuddin , Yuliantri Rhoma Dwi Aria , Mehta Kunal
Published: September 2024

This research aims to achieve the following objectives: 1) a comparative assessment of the application of nationalist and religious tolerance traits between Yogyakarta State University, Indonesia, and LR DAV College Jagraon, India, towards SDGs, and 2) the identification of factors that support the integration of nationalist and religious tolerance character traits at Yogyakarta State University, Indonesia, in contrast to LR DAV College Jagraon, India towards SDGs. The research employs a mixed method using an explanatory sequential design. It started with a quantitative approach employing a bibliometric analysis followed by the qualitative approach, utilising a comparative case study encompassing Yogyakarta State University and LR DAV College Jagraon, India. Data collection methods encompass interviews, observations, and document analysis. Informant feedback and triangulation techniques ensure data validity, corroborating data with theory. The data analysis follows an interactive model involving the systematic stages of data collection, data reduction, data presentation, and data verification or conclusions. The research results show that investigations into religious moderation have received significant attention in academic circles, focusing on the complex dynamics of religious intolerance and tolerance. The results of information in the field show that intolerance rarely occurs in the campus environment, especially in campus activities. This means that the life of religious tolerance in the campus environment shows that the campus has great potential for religious moderation activities.
Uniting cultures and promoting sustainable education: Batik diplomacy for Indonesian students in Taiwan to Support the SDGs
Authors: Anggaryani Mita , Atmoko Setyo , Satriawan Muhammad , Deta Utama Alan , Zakariah Azar
Published: September 2024

This study focuses on how batik diplomacy, as an ethnoscience approach, impacts Indonesian students’ knowledge, cultural appreciation, sustainable engagement, and cultural identity in Taiwan. The research used a mixed-method design, combining quantitative and qualitative methodologies to ensure thorough analysis. Data was gathered through a survey completed by 35 Indonesian students in Taiwan for quantitative analysis and through individual interviews with five selected participants for qualitative insights. The findings reveal that participation in the program significantly increased knowledge of batik, improved appreciation for Indonesian culture, and fostered sustainable engagement. The interviews showed that students felt a heightened sense of pride in their culture and became more active in preserving traditional plant species. The study demonstrates that integrating batik diplomacy with ethnoscience-based education supports sustainable development and helps Indonesian students in Taiwan work towards achieving the Sustainable Development Goals (SDGs).
Collaborative governance in the village Prior Learning Recognition (PLR) program to support the achievement of village Sustainable Development Goals (SDGs)
Authors: Fanida Eva Hany , Ladiqi Suyatno
Published: September 2024

Improving the quality of human resources has become an important focus in efforts to achieve the Sustainable Development Goals (SDGs) at the village level, including Bojonegoro Regency, Indonesia. The Village Past Learning Recognition Program (RPL) which is implemented involves the Central Government, Regional Government and Universities who collaborate in an effort to realize the Village SDGs. The aim of this study is to understand and explore the implementation of collaborative governance in the Village Recognition of Past Learning (RPL) program in Bojonegoro Regency and its impact on supporting the achievement of SDGs at the village level. This research uses a descriptive qualitative approach with the Miles and Huberman Interactive Model analysis technique. The research results show that collaborative governance. This can be an effective model in supporting sustainable development in villages. Through active participation from the community and other stakeholders, this program has succeeded in achieving several Sustainable Development Goals (SDGs) indicators, namely quality education and strengthening partnerships.
Inter-sectoral collaboration for the Mental Wellbeing of Indonesians in the digital age: A narrative review of SDGs implementation
Authors: Ardi Zadrian , Putra Ade Herdian
Published: September 2024

Mental health is an important aspect of public health that significantly affects people’s quality of life and productivity. In the digital era, collaboration between sectors is essential to address the complex challenges and opportunities in improving mental health. This study investigates the role of various sectors, including government, private, education, and civil society organizations, in improving mental well-being in Indonesia, which aligns with the Sustainable Development Goals (SDGs). Using secondary data from leading international journals and other relevant literature, this study identifies the fragmentation of mental health services and the potential of digital technology to bridge the gap. The findings of this study highlight the collaboration that various sectors can do to improve the mental well-being of Indonesians in the digital era. These include developing a national digital mental health strategy, encouraging public-private partnerships, improving training for mental health professionals, implementing community-based programs, promoting mental health literacy, and continuously monitoring digital interventions. By leveraging the strengths of various stakeholders and integrating digital solutions, Indonesia can create a comprehensive mental health strategy aligned with the SDGs.
Effectiveness of individual counseling self-management techniques to reduce truancy behavior in students: Enhancing Education Quality (SDGs 4)
Authors: Cahyani Regita Nur , Naqiyah Najlatun , Hariastuti Retno Tri , Habsy Bakhrudin All , Nor Azmawaty Mohamad
Published: September 2024

Skipping school among students is characterized by frequently leaving school before school time, not going to school on alternative days and not going to school without providing correct information. One way to overcome this problem is to provide individual counseling services using self-management techniques that have five stages, namely, relationship building, self-monitoring, stimulus control, self-evaluation and self-reward. Self-management can improve the quality education, this can be seen from the objectives of self-management, including improving social and reducing bad behavior. This article aims to determine the effectiveness of individual counseling by using self-management techniques to reduce school truancy among students. The results of the study showed a decrease in the frequency of truancy after students received individual counseling with techniques on self-management. The implications educators, extend to provide a comprehensive picture of the effectiveness of individual counseling using self-management techniques to reduce truancy and its potential contribution to the SDGs. In addition, future researchers can build on these findings to develop and improve learning activity in an educational context, ultimately contributing to the achievement of the SDGs.
The principal instructional leadership model based on action learning to Improve Quality Education (SDGs 4)
Authors: Sulastri Sulastri , Syahril Syahril , Adi Nelfia , Al Kadri Hanif , Febrianti Sari , Afriansyah Hade , Aldi Ahmad , Ghani Muhammad Faizal Bin A. , Hardianto Hardianto
Published: September 2024

The principal instructional leadership is the ability of the principal to develop a conducive learning atmosphere in the school to improve quality education (SDGS 4). The general objective of the study is to produce a model of principal instructional leadership based on action learning that valid, practical and effective model. The methodology of this research is quantitative with an Research and Development approach, by ADDIE model. This needs analysis involved 12 districts and 7 cities in West Sumatra with a total of 117 principals. Meanwhile, the model test was conducted on elementary school principals in Tilatang Kamang District, Agam Regency. The research results are; 1) conducting a needs analysis with an achievement of 88.29% and an average score of 4.41; 2) designing, designing and expert validation of the product. This model has been tested on principals, with a syntax implementation value of 4.03 (80.50%). This model is very practical to apply with a value of 4,01 (80.25%) and participant activity of 4.03 (80.61%). Every problem found in the field related to the principal’s instructional leadership uses the Bintang, Meteor, Bima and Sakti models in each indicator. Further researchers can apply it to junior high schools with more complex problems.