bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping LSD Locations by Integrating Land Documents and Spatial Planning in Cepu District
Authors: Asyita Rahmawaty Mitha , Firdaus Wibowo Jatiar , Noor Alina Aldea , Gustin Oktavianto , Warasambi Mispaki Syachril 
Published: December 2024

Abstract
The conversion of agricultural land to non-agricultural land in Cepu Regency presents a challenge for the government to maintain food security and the agricultural sector in a sustainable manner. This research aims to identify and analyze gaps between data on rice fields and land and spatial planning, assess the potential for land conversion, and make recommendations for protected rice fields. Spatial analysis methods using Geographic Information Systems (GIS) and quantitative methods are used to process data and provide appropriate recommendations, taking into account decreasing and increasing factors in identifying rice fields for conservation (LSD). The existing LSD determination has a total area of 2,662 Ha which can be utilized to maintain food security in Blora Regency. The evaluation object is protected rice fields that have the potential for conversion such as subsidized residential land, expansion of the Ngeloram airport and construction of residential houses. Recommendations for LSDs that experience conversion are conditionally permitted to change land use, and permitted to change land use.
A Preliminary Study: Gaussian Splatting Technique in Generating a 3D Model of Textureless Object
Authors: Qoyimah Shofiyatul , Sugiastu Firdaus Hana 
Published: December 2024

Abstract
The traditional static method faces limitations and challenges in reconstructing a 3D model of a real object with a textureless surface, in various environmental lighting conditions. Gaussian Splatting is approached as a superior method to reduce the processing time and draw back those limitations. To assess the visualization and accuracy, a project was designed to create a 3D model of a wooden board and a metal cube under different lighting scenarios using Gaussian Splat Creator & Viewer web-based software. The results show that the model can obviously represent the object’s color, shape, and shadow spot. The additional light source can increase the brightness, and draw different impacts on the models to recognize the fine features on the surface. Furthermore, the translucent effect was exposed on all models, except the wooden board without an additional light source. The models have RMSE less than 6 cm and are categorized as the Level of Detail 4. The highest accuracy was achieved by performing the adjusting scale option, even though a rescaling factor is not defined. Meanwhile, defining the rescale factor and neglecting the scale adjustment process simultaneously, can decrease the accuracy. Last, the 3D reconstruction process of 300 to 400 images takes around 30 to 45 minutes, and the storage size is 1 to 3 Megabytes only.
The Effect of Port Growth on the Safety Index in Madura Strait
Authors: Hardhita DW , Asmara IPS , Widiarti Y 
Published: December 2024

Abstract
This research examines ship safety level in port development through environmental stress method, which involves assessing the safety level in current conditions and simulating the addition of new ports to enhance shipping efficiency. This method evaluates safety levels based on each ship’s COG degree and identifies obstacle characteristics. Analysis results are visualized using the perception safety index matrix. These findings determine the permissible speed tolerance for ships navigating the Madura Strait under current and planned conditions. As per sample, simulation will be using MV PIS Mahakam for this research. The simulation indicates that safety index in the existing condition or scenario X is at a Marginal level, with the highest value being 749. Furthermore, in planned scenario with addition of 2 new ports and combination of 2 ports which called scenario A, B, and C, safety index values are 749 thus all considered marginal. The maximum speed tolerance under planned conditions ranges from 1.5 – 1.6 knots for a 114m ship.
Development of Measurement Tool for Energy Efficiency Operational Indicator (EEOI)
Authors: Prastowo H , Pitana T , Artana K B , Ariana I M , Pramana A T 
Published: December 2024

Abstract
The Energy Efficiency Operational Index (EEOI) is a value that represents the energy efficiency of a ship’s operations in relation to CO2 emissions. Improving energy efficiency is one of the important ways to achieve cleaner shipping. Statistical methods are used to predict a number of parameters that determine the value of the EEOI. The aim of this research is an EEOI measurement tool. The analysis was carried out with 100 container ships. The Ship Traffic Emission Model (STEAM) and Multiple Linear Regression (MLR) methods were used in this research. STEAM modeling is based on estimated fuel oil consumption and MLR generated from STEAM EEOI results. This modeling also considers the following parameters overall length, width, draft, depth, service speed, container capacity, average speed of last trip, average draft of last trip, installed main engine power, and travel time. Furthermore, EEOI measurement tools were created in the Android-based version which represent EEOI values based on the ship’s last trip per voyage.
Development Study of Direct Damage Stability Algorithm Based on 3D Geometry Data Processing for Onboard Loading Instrument
Authors: Andinuari Fajar , Widjaja Sjarief , Nugroho Setyo 
Published: December 2024

Abstract
The maritime world experienced a very significant development such as the process of cargo planning is the existence of a system called loading instrument which is regulated by several regulations from both Classification and IACS. Damage stability calculation is also very important for loading instruments. Currently in Indonesia, there is no known algorithm to calculate direct damage stability from 3D models. And also there is still no loading instrument in Indonesia that applies the algorithm. Therefore, this research aims to develop a direct damage stability calculation algorithm for the development of loading instruments in Indonesia. Direct damage stability uses the lost buoyancy method which is calculated from 3D geometry model directly. The calculation process starts by dividing the ship geometry and compartment with the desired station. In general, the numerical integration used in the calculation process is the Simpson method. Then Newton’s iteration is used to find an equilibrium condition by predetermined conditions. Finally, the calculation results will be compared with the cases of LR Rules and IACS Rules UR L5 as a form of validation. The calculation algorithm can later be applied to the onboard loading software computer needed by the ship for the loading process with damage applications.
Potential carbon stocks of hardwood, softwood, and varied growth rate species in Pasir Hantap Research Forest, Sukabumi, West Java
Authors: Fatimah G , Wasis B , Prameswari D 
Published: December 2024

Abstract
Climate change has become a global phenomenon with signi2icant impacts on the environment. Indonesia has committed to reducing its emissions by 29% by 2030 through domestic efforts and 41% through international cooperation. The forestry sector plays a crucial role, with a potential reduction of 17.2% in emissions. One of the tropical forest areas that has the potential to help store carbon stocks is the Pasir Hantap Research Forest, Sukabumi. Pasir Hantap Research Forest is located in the tropics and is characterized by diverse, naturally occurring and planted vegetation. The forest has varying slopes, ranging from 10° to 45°, which can affect tree growth and biomass. The study will analyze the carbon stock potential of hardwood groups (Shorea sp. mixed), softwood groups (Pinus sp. mixed), fast-growing species groups (Eucalyptus sp. mixed), and slow-growing species groups (Swietenia macrophylla mixed) and examine the in2luence of slope on carbon storage. The overall results of carbon stock estimation in the four groups of stands did not show signi2icantly different results. The highest average carbon stock was in the mixed Swietenia macrophylla group at 423.84 tons/ha, while the lowest average was in the mixed Shorea sp. group at 128.76 tons/ha. The results of carbon stock estimation are negatively correlated with slope. The estimated value of carbon stocks in the mixed Swietenia macrophylla group decreased as the degree of slope increased. Meanwhile, the estimation of carbon stocks in the mixed Pinus group increased as the degree of the slope increased.
Ethnomycology species of mushrooms as food and medicine in Rao-Rao village, Batang Natal district, North Sumatra
Authors: Rambey R , Kembaren Y , Rahmawaty  , Widianti P , Suratman M N , Pardi F , Abdullah M F , Gandaseca S 
Published: December 2024

Abstract
Mushrooms have been used by people for many years, both as food and medicine. The lack of research on ethnomycology has resulted in the threat to local knowledge regarding the use of mushrooms as food, medicine, a source of income, and their sociological impact in Rao-Rao Village, Batang Natal District, North Sumatra. This research explores the uses of mushrooms and traditional knowledge associated with ethnic groups living in Rao-Rao Village. The interview method is used to collect information regarding the use of mushrooms. To determine respondents using a purposive sampling technique. Based on the interviews conducted with the people of Rao-Rao Village, eight mushrooms were found and used as food and medicine. Species of mushrooms used as food include Auricularia auricula-judae, Auricularia delicate, Volvariella volvacea, Schizophyllum commune, Lentinus conatus, and those used as medicine are Coltricia perennis, Geastrum triplex, and Lignosus rhinoceros.
Investigation & analysis of Electrical Discharge Machining on Titanium Diboride Ceramic material with various Electrode materials and dielectric fluids
Authors: S Karthik , Annamalai Sivakumar 
Published: December 2024

Abstract
Titanium Diboride is a highly used material in aerospace industry due of its remarkable longevity. Its strength poses a problem to traditional machining methods. This work aims to compare two different dielectric fluids and four different electrode materials to improve EDM process parameters in TiB2 material. The input parameters were adjusted to find the optimal combination. By studying the fluctuations of output parameters such as MRR, TWR, SR and overcut when processing titanium diboride, researchers can gain valuable insights. This is achieved through experimental studies and the results are then verified using a theoretical regression model. Experimental results confirmed that discharge current, voltage and Ton had a remarkable influence on MRR, TWR and surface roughness in TiB2 material. It has been observed that tool wear rate when using kerosene-based dielectric fluids is higher than that of deionized water-based dielectric fluids. Tungsten copper electrodes cause slightly less tool wear than tungsten electrodes, and produce higher MRR overall, when compared to other three electrode materials. Using deionized water as a dielectric fluid and a copper as an electrode material can help to obtain a smoother surface. When deionized water is used as a dielectric fluid with tungsten electrodes, the overcut value drops dramatically. Brass electrodes produce a higher overcut value compared to the other three electrode materials. The microstructure of the EDM hole was distinguished by SEM analysis, and the material composition of TIB2 was determined by EDS analysis.
Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China
Authors: Wen Hui , Zhong Ziyu , Kong Xujie , Wang Jichun , Li Renqiang , Wang Zhaosheng , Yu Shulin , Xu Zhen , Chen Hexin , Zhu Qi , Wang Pan , Duan Jiaquan , Ren Yan 
Published: December 2024

Abstract
Assessing the carbon sequestration capacity of regional ecosystems is essential for achieving carbon neutrality goals. However, existing research often fails to comprehensively evaluate the spatial-temporal dynamic changes of ecosystem carbon emission and absorption. This study introduces a Carbon Benefit Index (CBI) to assess carbon neutrality potential and classifies Shandong’s 16 cities into four regions based on their carbon storage and emission profiles. We conducted an in-depth analysis of ecosystem carbon benefit in Shandong Province from 2000 to 2020 using the multimodel random forest ensemble method, which enhances the accuracy of carbon sink simulations across terrestrial ecosystems. Our results showed that from 2000 to 2020, Shandong’s carbon emission increased by 1.45 × 108 tons (a 203.8% rise), while carbon storage decreased by 3.40 × 107 tons (a 2.05% decline). Compared to previous studies, our findings underscore the significance of both above-ground and below-ground carbon storage. Grey correlation analysis of land use, anthropogenic CO2 emission, and ecosystem carbon storage revealed that cultivated and forest lands were most significantly correlated with carbon storage, whereas built-up areas were most closely linked to carbon emission. The CBI analysis and classification of the 16 cities into four categories highlights the spatial-temporal heterogeneous of the carbon efficiency, and diverse roles cities play in the province’s overall carbon balance, informing city-specific, targeted carbon reduction strategies. The study emphasizes the need for spatially differentiated, comprehensive carbon accounting to improve carbon efficiency. Based on these findings, we propose tailored low-carbon improvement strategies for different regions. This research not only contributes to existing literature by incorporating below-ground carbon storage but also provides valuable insights for policy and land management, with practical implications for promoting sustainable development and advancing efforts toward carbon neutrality.
Sobolev regularity of the Bergman and Szegö projections in terms of \overline{∂}⊕\overline{∂}* and \overline{∂}_{𝑏}⊕\overline{∂}_{𝑏}*
Authors: Straube Emil 
Published: December 2024

Let

Ω
\Omega

be a smooth bounded pseudoconvex domain in

C

n

\mathbb {C}^{n}

. It is shown that for

0
≤
q
≤
n

0\leq q\leq n

,

s
≥
0

s\geq 0

, the embedding

j

q

:
d
o
m
(

∂
¯

)
∩
d
o
m
(

∂
¯

∗

)
↪

L

(
0
,
q
)

2

(
Ω
)

j_{q}: dom(\overline {\partial })\cap dom(\overline {\partial }^{*}) \hookrightarrow L^{2}_{(0,q)}(\Omega )

is continuous in

W

s

(
Ω
)

W^{s}(\Omega )

-norms if and only if the Bergman projection

P

q

P_{q}

is (see below for the modification needed for

j

0

j_{0}

). The analogous result for the operators on the boundary is also proved (for

n
≥
3

n\geq 3

). In particular,

j

1

j_{1}

is always regular in Sobolev norms in

C

2

\mathbb {C}^{2}

, notwithstanding the fact that

N

1

N_{1}

need not be.
Associations of hearing and visual loss with cognitive decline and dementia risk: a 25-year follow-up of the Maastricht Aging Study
Authors: Soons Lion M , Deckers Kay , Tange Huibert , van Boxtel Martin P J , Köhler Sebastian 
Published: December 2024

Abstract

Background
Hearing loss (HL) and visual loss (VL) are recently identified as promising dementia risk factors, but long-term studies with adequate control of other modifiable dementia risk factors are lacking. This 25-year follow-up study investigated the association between objectively measured HL and VL with cognitive decline and incident dementia.

Methods
1823 participants (age 24–82 years) of the Maastricht Aging Study were assessed at baseline, 6, 12 and 25 years. Baseline HL was defined as pure-tone hearing loss ≥20 dB at frequencies of 1, 2 and 4 kHz and VL as binocular, corrected visual acuity &lt;0.5. Associations with cognitive decline (verbal memory, information processing speed, executive function) and incident dementia were tested using linear mixed models and Cox proportional hazard models, respectively. Analyses were adjusted for demographics and 11 modifiable dementia risk factors (LIfestyle for BRAin health index).

Results
Participants with HL (n = 520, 28.7%) showed faster decline in all cognitive domains than participants without HL. No consistent association was found for VL (n = 58, 3.2%), but below-average visual acuity (&lt;1) showed significant associations with information processing speed and executive function. No significant associations with dementia risk were found. Findings were independent of demographics and modifiable dementia risk factors.

Conclusions
HL predicts faster cognitive decline but not dementia risk in adults aged 24–82 years. VL shows no consistent associations, though below-average visual acuity is linked to faster cognitive decline. This study supports HL as an independent risk factor for cognitive decline. Future studies should further evaluate the roles of HL and VL in dementia risk reduction.
Silica exposure controls usage in masonry and concrete trades: before and after enactment of the OSHA Silica Construction Rule (1926.1153)
Authors: Dickerson Deborah E , Goldberg Ari Joseph 
Published: December 2024

Abstract

Introduction
In 2017, The Occupational Safety and Health Administration (OSHA) Construction Industry Respirable Crystalline Silica rule (1926.1153) became effective. This regulation stipulates silica exposure control methods to be used in specific construction tasks (1926.1153 Table 1). The present study examined the impact of the regulation on usage of control methods. Reported are findings from 2 surveys of concrete and masonry contractors conducted 3 years prior to, and 3 years following, the OSHA rule.

Method
In 2014 and 2021, a telephone survey was conducted of the following trade associations: the Mason Contractors Association of America (n = 700), the Concrete Sawing and Drilling Association (n = 541), and the American Concrete Pavement Association (n = 450). Collected were frequency of use of the following dust mitigation strategies: stationary masonry saw wet methods, stationary masonry saw dust capture, handheld saw wet methods, handheld saw dust capture, fiber-cement saw dust capture, walk-behind saws wet methods, walk-behind saws dust capture, impact and rotary hammer drills dust capture, jack hammer wet methods, jack hammer dust capture, handheld grinder dust capture, floor grinder wet method, floor grinder dust capture, and sweeping compound. The 5-point Likert-scale data were analyzed via the Welch’s t-test. Open-ended questions about benefits, barriers, and motivations for using dust mitigation methods were analyzed via Content Analysis.

Results
Significant increases in usage were found across many control methods. Highly significant increases in frequency of use were found for handheld saw dust capture, fiber-cement dust capture, handheld grinder dust capture, and impact and rotary hammer dust capture.

Conclusion
Overall, the study provides evidence that the OSHA rule has been effective in effecting change in these silica-exposing trades.
Heterogeneous graph contrastive learning with gradient balance for drug repositioning
Authors: Cui Hai , Duan Meiyu , Bi Haijia , Li Xiaobo , Hou Xiaodi , Zhang Yijia 
Published: December 2024

Abstract
Drug repositioning, which involves identifying new therapeutic indications for approved drugs, is pivotal in accelerating drug discovery. Recently, to mitigate the effect of label sparsity on inferring potential drug–disease associations (DDAs), graph contrastive learning (GCL) has emerged as a promising paradigm to supplement high-quality self-supervised signals through designing auxiliary tasks, then transfer shareable knowledge to main task, i.e. DDA prediction. However, existing approaches still encounter two limitations. The first is how to generate augmented views for fully capturing higher-order interaction semantics. The second is the optimization imbalance issue between auxiliary and main tasks. In this paper, we propose a novel heterogeneous Graph Contrastive learning method with Gradient Balance for DDA prediction, namely GCGB. To handle the first challenge, a fusion view is introduced to integrate both semantic views (drug and disease similarity networks) and interaction view (heterogeneous biomedical network). Next, inter-view contrastive learning auxiliary tasks are designed to contrast the fusion view with semantic and interaction views, respectively. For the second challenge, we adaptively adjust the gradient of GCL auxiliary tasks from the perspective of gradient direction and magnitude for better guiding parameter update toward main task. Extensive experiments conducted on three benchmarks under 10-fold cross-validation demonstrate the model effectiveness.
MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification
Authors: Wang Yuhan , Wang Zhikang , Yu Xuan , Wang Xiaoyu , Song Jiangning , Yu Dong-Jun , Ge Fang 
Published: December 2024

Abstract
High-throughput sequencing methods have brought about a huge change in omics-based biomedical study. Integrating various omics data is possibly useful for identifying some correlations across data modalities, thus improving our understanding of the underlying biological mechanisms and complexity. Nevertheless, most existing graph-based feature extraction methods overlook the complementary information and correlations across modalities. Moreover, these methods tend to treat the features of each omics modality equally, which contradicts current biological principles. To solve these challenges, we introduce a novel approach for integrating multi-omics data termed Multi-Omics hypeRgraph integration nEtwork (MORE). MORE initially constructs a comprehensive hyperedge group by extensively investigating the informative correlations within and across modalities. Subsequently, the multi-omics hypergraph encoding module is employed to learn the enriched omics-specific information. Afterward, the multi-omics self-attention mechanism is then utilized to adaptatively aggregate valuable correlations across modalities for representation learning and making the final prediction. We assess MORE’s performance on datasets characterized by message RNA (mRNA) expression, Deoxyribonucleic Acid (DNA) methylation, and microRNA (miRNA) expression for Alzheimer’s disease, invasive breast carcinoma, and glioblastoma. The results from three classification tasks highlight the competitive advantage of MORE in contrast with current state-of-the-art (SOTA) methods. Moreover, the results also show that MORE has the capability to identify a greater variety of disease-related biomarkers compared to existing methods, highlighting its advantages in biomedical data mining and interpretation. Overall, MORE can be investigated as a valuable tool for facilitating multi-omics analysis and novel biomarker discovery. Our code and data can be publicly accessed at https://github.com/Wangyuhanxx/MORE.