bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intact stability analysis of crane barge due to loading orientation effect during heavy lifting operation
Authors: Faiz M , Murdjito  , Prastianto R W , Djatmiko E B , Nugroho S , Hadasa Y B 
Published: February 2024

Abstract
Changes in the position of the lifting load on the crane barge during heavy lifting operation significantly affect the stability of the vessel. The changes in stability during this heavy lifting operation must be analysed to prevent operational failures. This study conducted an intact stability analysis of the crane barge during lifting of topside structures in the installation phase. The analysis was performed with variations in the position of the lifted load from starboard to bow for every 15° change in the crane angle. The stability results of the Crane Barge for all variations, using both analytical and numerical methods, have met the IMO requirements. The extreme condition occurred in load case 8, with a maximum GZ value of 2.904 m at a 22° angle and an area of 103,894 m.deg. The comparison of the stability results of the crane barge during the structural lifting operation using analytical calculation and numerical methods indicates that the overall validation error values have met the ±5% requirement according to the ABS Rules. However, when considering the corrections for changes in the lifting load moment in the analytical calculation, stability error values increase significantly as the heeling angle of the vessel increases.
Study on the effects of lifting loads on the longitudinal strength of a crane barge during heavy lifting operations due to various angle of crane rotation
Authors: Hadasa Y B , Murdjito  , Prastianto R W , Djatmiko E B , Wahyudi  , Faiz M 
Published: February 2024

Abstract
The different positions of lifting loads on a crane barge during Heavy Lifting operations have a significant impact on longitudinal strength. This study focuses on the analysis of longitudinal strength on a crane barge with a configuration of Topside structure loading direction during the installation. The variations used the crane rotation angle from starboard to bow at 15° increments. The results showed that the load distribution for all variations followed similar trendlines, using analytical and numerical methods. Significant changes occurred at frame 3–19 as the location of the superstructure, frame 13–40 as the ballast tank loads, and frame 45–55 as the lifting loads. Regarding the maximum shear force and bending moment, occurred when the net load changes from positive to negative and the position of the crane. The maximum shear force occurred at frame 40, while the maximum bending moment occurred at frame 47, 48, and 49. The comparison between analytical and numerical methods for shear force and bending moment showed that the error values are below 5% of the allowable value according to the DNV standards.
A comprehensive analysis of hydrogen fuel cell integration in fishing vessels
Authors: Satria I G N A , Rulianto J , Kanom  
Published: February 2024

Abstract
HHO gas is a fuel supplement produced through the electrolysis process of water in an HHO generator, where HHO gas falls under the category of alternative energy and is classified as a new energy source. The fundamental principle of internal combustion engines is generally to convert the chemical energy of liquid fuel into mechanical energy. The production of hydrogen through the electrolysis process is continuously evolving to facilitate the use of environmentally friendly fuels, with potential impacts on engine performance and exhaust gas emissions. This study examines the effect of adding HHO gas to electronic fuel injection (EFI) type-L gasoline engines on exhaust gas emissions and fuel consumption. It has been proven that the addition of HHO gas to the combustion process of gasoline engines, particularly EFI type-D, results in reduced emission levels (CO by 15.31% and HC by 16.27%). Moreover, the introduction of 0.1 Mol of HHO gas into EFI type-L engines through the air filter leads to a significant impact on exhaust gas emissions and a 2.8% increase in fuel consumption compared to not using HHO gas. This could be attributed to the distinct characteristics of EFI systems compared to conventional engines, as they are not accustomed to fuel supplements being injected into the engine.
Assessment of coastal vulnerability index (CVI) and its application along the Labuhan Maringgai coast, east Lampung Indonesia
Authors: Tarigan T A , Fauzi M A R , Wisha U J , Martin Y 
Published: February 2024

Abstract
The Coastal Vulnerability Index (CVI) is one of the simplest and commonly used methods to assess coastal vulnerability. In this way, it is a common tool contributing to the decision-making process in long-term coastal planning and management. This study aims to assess the level of coastal vulnerability according to coastal typology of Labuhan Maringgai Coast section. The variable formulation of CVI is divided into hydrodynamic factors (mean significant wave heights, mean tide range, and mean sea level rise) and morpho dynamics factors, i.e. geomorphology, coastal slope, and average width of emerged beach. The morpho dynamics data were obtained through observation, direct measurements in the field by systematic sampling, extraction from aerial photographs and digital surface model (DSM). The results of modelling and predictions by several agencies are derived to obtain the hydrodynamics data. The coast of Labuhan Maringgai was divided into 12 transects and the coastal vulnerability index were classified into three categories such as low, moderate, and high. The results of CVI method showed that the most vulnerable transect is located at Desa Bandar Negeri characterized by mud flats and damaged mangroves.
Analysis of Environmental Factors on Maritime Security Operations Using the Bayesian Network Method
Authors: Artanto David , Pitana Trika , Ciptomulyono Udisubakti , Adisha Athaya Gusti 
Published: February 2024

Abstract
The navy as law enforcement with a main duty of maintaining security in the maritime space of national jurisdiction in accordance with the provisions of national law and ratified international law certainly has warships as a support system to achieve such goal. Certain maritime security operations not only require the readiness of the equipment or ships used, but also the supporting environmental factors. In fact, optimal maritime security operation needs a method for an assessment to determine the implementation of maritime security operation. In this discussion, the researcher found a probability as a result of influential environmental factors by using the Bayesian network to determine whether the area to be passed by operating ships is feasible.
Operation failure of risk analysis on floating storage and offloading
Authors: Silvianita  , Harahap A A , Khamidi M F 
Published: February 2024

Abstract
The need for petroleum in daily life is increasing. The oil comes from the seabed, so it is necessary to have adequate facilities during the exploration and exploitation of crude oil. The process of distributing crude oil to FSO is assisted by the Product Transfer System pipeline. In this process there is a possibility of failure that occurs form several factors, namely tools, weather and sea conditions, and human. In this study, the analysis of the risk of operational failure during loading-unloading of crude oil is discussed. The analysis was carried out using the HAZOP Analysis and Bow-Tie Analysis methods. HAZOP Analysis for hazard identification, and Bow-Tie Analysis for finding the appropriate mitigation. From this method, an overview of the risks than can occur can be obtained so that the risk control required by FSO can be implemented. From the results of this study, it was found that there are 41 potential hazards on the process of loading-unloading crude oil FSO, with the highest risk is inadequate quality of the transfer equipment components with the likelihood rank is 4 and severity rank is 4. The results of Bow-Tie visualization of dominant risk found five causes, namely corrosion, inadequate material quality, eroded material, service life, and material degradation, and five consequences, namely property damage, delayed operational activities, oil spills, environmental damage due to oil spill, and corrosion occurs on the product transfer equipment.
Risk Management in the LPG Refrigerated Green Terminal Project for Sustainable Development Goals
Authors: Satrio D , Anjelina M A , Rosyid D M , Ikhwani H , Fadilah W N , Fauzi M A R , Ridlwan A 
Published: February 2024

Abstract
The LPG Refrigerated Green Terminal Project for Sustainable Development Goals seeks to enhance national stock resilience and reduce reliance on leased refrigerated LPG floating storage by a State-Owned Oil and Gas Company. Various challenges were encountered throughout the project, including resident demonstrations causing schedule disruptions, delays in project design due to client approval processes, and disparities in land data during tendering and implementation phases, among others. This research aims to identify the most critical risk by assessing the number of priority risks and risk categories. Effective risk management is pivotal in achieving project objectives. The methodology employed encompasses Fault Mode and Effect Analysis (FMEA), a 3D Risk Matrix, and a Pareto Diagram, supplemented by Analytical Hierarchy Process (AHP) software for risk weight determination. The study reveals a minimum Risk Priority Number (RPN) of 6, signifying low-risk severity, infrequent risk occurrence, and the company’s ability to detect these risks. Conversely, the highest RPN is recorded at 36, indicating significant risk severity, frequent risk occurrence, and challenges in risk detection by the company.
Exploring Thermal Barrier and Sedimentation Simulation for Enhanced Performance in Grati Combined Cycle Power Plant
Authors: Suntoyo  , Cahya I , Islam M R , Tanaka H 
Published: February 2024

Abstract
PLTGU is a power generation facility that concurrently utilizes both steam and gas power plant technologies. It necessitates a cooling system to operate efficiently throughout its entire lifespan. If PLTGU Grati plans to increase its power capacity, there is a concern that the water discharged from the Water Outlet channel might not cool down sufficiently before re-entering the Water Intake channel. Additionally, sedimentation in the sea water uptake is causing siltation. Hence, this study focuses on the jetty extension project to address sedimentation and hot water spreading issues in PLTGU Grati. The numerical modeling analysis, conducted using the Delft3D software, indicates that in the case of power addition, Alternative Model 1 can reduce the highest temperature compared to the existing condition by 0.655°C. Similarly, Alternative Model 2 reduces the highest temperature by 0.090°C. Moreover, with power addition, sedimentation rate in Area 1 increases by 261.43 m3/month in Alternative Model 1, while in Alternative Model 2, it decreases by 969.47 m3/month compared to the existing condition. Considering the ability of Alternative Model 2 to effectively reduce the temperature in the inlet canals by 0.090°C, it provides the best solution to contain the spread of hot water in the PLTGU Grati area. Currently, PLTGU Grati employs a Cutter Suction Dredger (CSD) to periodically dredge the water inlet channel. Therefore, Alternative Model 2 is recommended as the optimal choice among the alternatives. Henceforth, detailed studies related to current patterns and sedimentation rates are presented comprehensively in this paper.
An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signal
Authors: Ghaempour Mostafa , Hassanli Kourosh , Abiri Ebrahim 
Published: February 2024

Abstract
One of the epileptic patients’ challenges is to detect the time of seizures and the possibility of predicting. This research aims to provide an algorithm based on deep learning to detect and predict the time of seizure from one to two minutes before its occurrence. The proposed Convolutional Neural Network (CNN) can detect and predict the occurrence of focal epilepsy seizures through single-lead-ECG signal processing instead of using EEG signals. The structure of the proposed CNN for seizure detection and prediction is the same. Considering the requirements of a wearable system, after a few light pre-processing steps, the ECG signal can be used as input to the neural network without any manual feature extraction step. The desired neural network learns purposeful features according to the labelled ECG signals and then performs the classification of these signals. Training of 39-layer CNN for seizure detection and prediction has been done separately. The proposed method can detect seizures with an accuracy of 98.84% and predict them with an accuracy of 94.29%. With this approach, the ECG signal can be a promising indicator for the construction of portable systems for monitoring the status of epileptic patients.
Robust and optimal dose distribution for brain metastases with robotic radiosurgery system: recipe for an inflection point
Authors: Hinoto Ryoichi , Tsukamoto Nobuhiro , Eriguchi Takahisa , Kumada Hiroaki , Sakae Takeji 
Published: February 2024

Abstract

Purpose. This study aims to establish a robust dose prescription methodology in stereotactic radiosurgery (SRS) and stereotactic radiotherapy (SRT) for brain metastases, considering geometrical uncertainty and minimising dose exposure to the surrounding normal brain tissue. Methods and Materials. Treatment plans employing 40%–90% isodose lines (IDL) at 10% IDL intervals were created for variously sized brain metastases. The plans were constructed to deliver 21 Gy in SRS. Robustness of each plan was analysed using parameters such as the near minimum dose to the tumour, the near maximum dose to the normal brain, and the volume of normal brain irradiated above 14 Gy. Results. Plans prescribed at 60% IDL demonstrated the least variation in the near minimum dose to the tumour and the near maximum dose to the normal brain under conditions of minimal geometrical uncertainty relative to tumour radius. When the IDL-percentage prescription was below 60%, geometrical uncertainties led to increases in these doses. Conversely, they decreased with IDL-percentage prescriptions above 60%. The volume of normal brain irradiated above 14 Gy was lowest at 60% IDL, regardless of geometrical uncertainty. Conclusions. To enhance robustness against geometrical uncertainty and to better spare healthy brain tissue, a 60% IDL prescription is recommended in SRS and SRT for brain metastases using a robotic radiosurgery system.
The green mindset: how consumers’ attitudes, intentions, and concerns shape their purchase decisions
Authors: Gazi Md Abu Issa , Masud Abdullah Al , Yusof Mohd Faizal , Billah Md Asif , Islam Md Aminul , Hossain Md Alamgir 
Published: February 2024

Abstract

Purpose. The goal of the present investigation is to find out what effect environmental concern has as a moderator between green brand positioning, green brand knowledge, social value, and perspective on the green brand among young consumers. Design/methodology/approach. Information was gathered from 407 Bangladeshi university students, both public and private. The suggested model was evaluated with the assistance of SPSS version AMOS-24, using the Structural equation Modeling (SEM) method. Findings. According to the standardized path coefficients of the SEM, the findings suggest that environmental concerns have a great deal to do with young people’s green purchasing intentions. According to the results, ‘green brand positioning’ (GBP) and ‘green brand knowledge’ (GBK), directly and indirectly via ‘Attitude towards Green Brand’ (ATGB) affect ‘Green Purchasing Intention’ (GPI). But ‘social value’ (SV) and ATGB are indirectly important factors in determining intent to buy environmentally friendly products and have no direct effect on GPI. Here, as a moderator, ‘environmental concern’ (EC) plays a vital role. Practical implications. These insights may help companies better comprehend how customers view environmentally responsible products as well as what factors influence their purchase decisions. Additionally, it is essential for businesses to appreciate the significance of educating people about environmental issues in order to increase consumer awareness and encourage more sustainable consumption habits. Originality and value. The study’s findings might be quite instructive to firms and businesses and motivate young people to make environmentally friendly purchases. One of the first studies of its kind, its findings are extremely valuable for companies seeking to understand their customers’ perspectives on green brands because they may shed light on how environmental concerns can moderate consumer behavior when it comes to purchasing environmentally friendly products.
Effects of irrigation and fertilization on the emission factors and emission intensities of nitrous oxide in alkaline soil
Authors: Wenzhu Yang , Yongqin Jia , Youlin Hu , Jie Yang , Peng Gu , Yan Jiao 
Published: February 2024

Abstract
Environmental damage attributed to nitrous oxide (N2O) emissions have received widespread attention. Agricultural sources release substantial amounts of N2O into the atmosphere. However, comparative studies on the effects of different irrigation and fertilization methods, namely, drip fertigation (a combination of fertilizing and irrigation), sprinkler fertigation, and traditional furrow irrigation with chemical fertilizer spraying, on N2O emissions in alkaline soil have been limited. Therefore, three-year in situ field observations were conducted to investigate the effect of these three irrigation and fertilization modes on N2O emissions using the static chamber method over the period 2015–2017. There are significant seasonal variations in soil N2O emission fluxes among alkaline soils under different fertilization and irrigation modes, with emissions peaking in July and August, but no significant difference in yearly variations. The N2O emission intensity of drip fertigation soil was 0.20 kg N t−1 year−1, of sprinkler fertigation soil was 0.38 kg N t−1 year−1, respectively, while of furrow irrigation was 0.91 kg N t−1 year−1, respectively. Moisture and temperature of soil were key factors driving the observed nitrous oxide variations. Compared with traditional furrow irrigation, drip and sprinkler fertigation significantly increased potato yield and decreased N2O emissions in alkaline soil, thus satisfying both yield and environmental protection.
An inquisition on alkaline treated Banana/Sisal/Pineapple fiber epoxy composites for light to moderate load applications
Authors: Badyankal Pramod V , Manjunatha T S , Shivakumar Gouda P S , B H Maruthi Prashanth , Srinivasa C S 
Published: February 2024

Abstract
To address the sustainable development goals, an attempt was made to investigate the alkaline treated and untreated Banana, Sisal, and Pineapple fiber epoxy hybrid composite for their mechanical and thermal properties. Tensile, Flexural, Impact, modulus, and Heat Deflection temperature (HDT) were evaluated and analyzed for low-load structural applications. The performance of Alkaline Treated Fiber composites was better than the untreated fiber composites. The treated Banana, Sisal, and Pineapple hybrid fiber epoxy composite has a high HDT value of about 78 °C, a maximum tensile strength of 104 MPa, a tensile modulus of 25 MPa, a flexural strength of 78 MPa, a flexural modulus of 5286 MPa,and an impact strength of 286 J m−1 when compared to other composites. Interfacial failure analysis was also carried out with the help of a Scanning Electron Microscope (SEM) to study the microstructural behavior of the tested specimens. It was observed that the alkaline treatment increases fiber-matrix interaction.
Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks
Authors: Baccetti Valentina , Zhu Ruomin , Kuncic Zdenka , Caravelli Francesco 
Published: February 2024

Abstract
Networks composed of nanoscale memristive components, such as nanowire and nanoparticle networks, have recently received considerable attention because of their potential use as neuromorphic devices. In this study, we explore ergodicity in memristive networks, showing that the performance on machine leaning tasks improves when these networks are tuned to operate at the edge between two global stability points. We find this lack of ergodicity is associated with the emergence of memory in the system. We measure the level of ergodicity using the Thirumalai-Mountain metric, and we show that in the absence of ergodicity, two different memristive network systems show improved performance when utilized as reservoir computers (RC). We highlight that it is also important to let the system synchronize to the input signal in order for the performance of the RC to exhibit improvements over the baseline.
Reforming solid tumor treatment: the emerging potential of smaller format antibody-drug conjugate
Authors: Ma Xiaojie , Wang Mingkai , Ying Tianlei , Wu Yanling 
Published: February 2024

Abstract
In recent years, substantial therapeutic efficacy of antibody-drug conjugates (ADCs) has been validated through approvals of 16 ADCs for the treatment of malignant tumors. However, realization of the maximum clinical use of ADCs requires surmounting extant challenges, mainly the limitations in tumor penetration capabilities when targeting solid tumors. To resolve the hurdle of suboptimal tumor penetration, miniaturized antibody fragments with engineered formats have been harnessed for ADC assembly. By virtue of their reduced molecular sizes, antibody fragment-drug conjugates hold considerable promise for efficacious delivery of cytotoxic agents, thus conferring superior therapeutic outcomes. This review will focus on current advancements in novel ADC development utilizing smaller antibody formats from ~6 to 80 kDa, with particular emphasis on single-domain antibodies, which have been widely applied in novel ADC design. Additionally, strategies to optimize clinical translation are discussed, including half-life extension, acceleration of internalization, and reduction of immunogenic potential.