bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sail technology on fishing vessel for blue swimming crab catching application - A review
Authors: Setiyobudi N , Santoso A , Sari D P , Muttaqie T , Muryadin  , Noor F M , Zarochman  , Sasmita S , Wassahua Z , Setiawan A B , Sukoraharjo S S , Kuncoro A 
Published: June 2023

Abstract
The increase in fuel prices will gradually have an impact on the capture fisheries sub-sector, especially the fishermen. Sail technology is an alternative that can be used to save fuel oil, although it is realized that this technology cannot completely replace the diesel motor that is commonly used in fishing operations. This study will explain the application opportunities of sail technology on fishing vessels for blue swimming crab (Portunus pelagicus) in the deep waters of the Java Sea. This fishing ground is more than 12 nautical miles from the coast. Using sail technology on fishing vessels is very dependent on the characteristics of wind speed and direction. This discussion explores the relationship between the west and east monsoons in the Java Sea with the direction of fishing trip. Technological difficulties and current challenge in sail technology on fishing vessel for blue swimming crab are identified. The possible ideas for future research in this field are also discussed.
Selection of mooring system configuration of a FSO using multi-criteria methods
Authors: Murdjito  , Shidqi H M N , Wardhana W , Djatmiko E B , Prasetyawan I , Rachmadiarto F 
Published: June 2023

Abstract
In order to maintain and restrain the movement of a temporary storage tanker during the loading and offloading process, it is necessary to design a mooring system that is safe and reliable for its operation needs. The main problem that must be solved in this research is choosing the appropriate mooring system configuration for the temporary storage tanker equipped with a catenary mooring configuration that can be used for oil loading operations from the storage tanker to a transport tanker using the ship to ship method. This research focusses in the selection of mooring system configurations based on the strength of the anchor chain. There are nine alternatives configurations and predetermined criteria that were carried out in the study. Each alternative configuration will provide a different value of tension in each mooring line and ship movement. The analysis of the mooring tension is carried out using dynamic method with time domain approach. There are many criteria to be considered in the selection of the alternatives. The analytical hierarchical process (AHP) method is used in the selection of the best configuration based on multi criteria conditions. As case study of the study is a temporary storage tanker at Papa Field in Pertamina (Persero) ONWJ operation area as temporary storage taker is an Aframax tanker size.
Strength Analysis of Crane Hook Structure with Trapezoidal Cross-Section Based on Rigging Configuration on the Upper Deck Lifting Process
Authors: Hadiwidodo Y S , Permana R G , Handayanu  
Published: June 2023

Abstract
Lifting is one of the most important processes in offshore platform fabricaction. This process involves structures with large loads and dimensions which can lead to structural failure. One of the failures that often occur in lifting operations is the failure of the crane hook structure. In this study, strength analysis of the rigging configuration and crane hook is carried out in the upper deck lifting process at the stacking phase using analytical and numerical methods. The hook crane model used is Ramshorn Forged Hooks with a design based on DIN15402. Furthermore, local stress analysis is carried out on the crane hook structure to determine the deformation, maximum Von Mises stress, and Von Mises stress in cross-section that occurs in the crane hook structure with a trapezoidal cross-section. Simulations are carried out using analytical and finite element method software. The results of the stress analysis on the trapezoidal cross-section will then be validated. Then the calculation of the safety factor (SF) based on the results of the analysis of the maximum Von Mises stress is carried out to determine the failure of the crane hook structure when given a predetermined load.
The Effect of geometric parameters on stress concentration factor of a multiplanar DKT tubular joint through finite element model
Authors: Prastianto R W , Admiral F A , Rosyid D M , Hadiwidodo Y S , Handayanu  , Syalsabila F 
Published: June 2023

Abstract
It is important to consider geometric parameters on Stress Concentration Factor (SCF) at the tubular joint, especially multi-planar joint, when designing a jacket platform. Thus, a jacket platform capable to withstand the extreme environmental loads. Many researchers use the Finite Element (FE) method to analyze stress at joints and estimate the SCF with the variation of geometric parameters. That studies obtained the result that geometric parameters have significant effect on decreasing or increasing the SCF. Therefore, this study will delve the effect of geometric parameters (β, τ, and γ) on maximum SCF caused by axial loading, in-plane bending moment, and out-of-plane bending moment at DKT tubular joint. The increase of β results in the decrease in maximum SCF at brace-side and chord-side weld toe, respectively. The increase of τ and γ results in the increase in maximum SCF at brace-side and chord-side weld toe, respectively.
Conceptual Design and Operation Plan of Floating Medical Wastes Treatment Facility for Archipelagic Area: A Case Study of Maluku and Papua
Authors: Lazuardi S D , Ardhi E W , Nugroho S , Hadi F , Nur H I , Devintasari D V , Izza Y R 
Published: June 2023

Abstract
Indonesia has been facing considerable challenges in medical wastes management. In 2020, the medical wastes reached 294.66 tons/day, but the total capacity of the aggregate wastes treatment facilities nationally was only 224.23 tons/day. Maluku and Papua are Indonesia’s largest archipelagic region consisting of four provinces, which are included in the region with the lowest index of medical wastes management as well as the minimum number of medical wastes treatment facilities. The existing wastes treatment in Maluku and Papua does not meet the standards, it is carried out by open-air burning and open dumping. Therefore, the objective of this study is to create the conceptual design and operation plan of floating medical wastes treatment for archipelagic area. By using a multi-port relay operating pattern for each province, the medical wastes transport started from the hub point which was determined by using the centre of gravity method. Considering the number of medical wastes in each province so that the nonlinear programming method was used to determine the most optimum main dimensions of floating facility. The result obtained that the number of floating facilities required was four SPCB-type with costs overall by 63.14 billion IDR/year.
Performance Simulation of Hybrid Refrigeration System Using Eutectic Salt PCM For Eco Reefer Container
Authors: Ditya D J , Fitri S P 
Published: June 2023

Abstract
Today, fresh, chilled, or frozen products usually use reefer containers. The main problem with using reefer containers is the large energy consumption of 3.6kW/TEUS and the continuous supply of electric power. One solution available is using Phase Change Material (PCM) in the hybrid refrigeration system combined with a vapor compression system. Using PCM, the temperature of the reefer container can be maintained for several hours of cooling with the compressor off. This research aims to simulate the performance of a hybrid refrigeration system using PCM and the distribution of cooling air temperature in a laboratory-scale eco-reefer container. A simulation was performed using numerical software and CFD software. From the simulation analysis, the power value of the compressor at -20 °C is 0.3794 kW for the conventional system, 0.463 kW for the 22% NaCl PCM hybrid system, and 0.411 kW for the 20% Propylene Glycol PCM hybrid one. The COP value is 2,560 for the conventional system, 2,572 for the 22% NaCl PCM hybrid system, and 2,569 for the 20% Propylene Glycol PCM hybrid one. The CFD simulation results that PCM NaCl and Propylene Glycol can maintain the reefer container room temperature and product load.
Application of virtual reality as an alternative training media as complement of ship bridge simulator (case study: port of tanjung emas semarang)
Authors: Pitana Trika , Pramudhita Manungku Trinata , Siswantoro Nurhadi , Napitupulu Josua Ricky Cristian 
Published: June 2023

Abstract
The application of computer technology such as 3D modeling, simulators, virtual reality, and augmented reality, will always provide benefits to the maritime sector. The object of study used in this research is the physical bridge simulator at Poltekpel Surabaya which is used as a virtual simulator using virtual reality. Through the application of virtual reality technology, it can be developed into an educational facility for the cadets there which does not only rely on 2D or 3D forms but can be used as a simulator where users can interact directly in the application. With this simulator, it can save in terms of manufacturing costs and in terms of usage it becomes more effective and practical. In this simulator application the user can participate in a virtual 3D environment that is simulated like a real environment. With a simulator using virtual reality, users can learn how to operate a ship like a captain without having to visit the ship’s bridge directly. Simulators with virtual reality will provide a virtual learning environment that can be accessed easily anywhere and anytime. Based on the results of the cadet assessment test questionnaire consisting of 7 questions with 30 respondents, it can be concluded that the VR application for the Bridge Simulator is in the very good category because the application is easy to understand by the respondents and the 3D results from the ship’s bridge at Poltekpel are the same with those in the simulator application and for the results of the questionnaire calculations have a total value of 908 which is between 840 to 1050, or 87% in the percentage calculation.
Analysis of Location and Wave Characteristics on Capsizing of RoPax Opened-Car-Deck
Authors: Hasanudin  , Zubaydi Achmad , Aryawan Wasis Dwi , Nurwahyudi Aleik 
Published: June 2023

Abstract
RoPax is a ship that carries passengers, cargo, and cars simultaneously by waterway. RoPax with Opened-Car-Deck (OCD) type is the most popular and dominant population in archipelagos developing countries to operate: between islands, strait, and river banks. Nevertheless, the RoPax has the most contributions in casualties, so the ship needs serious intention to reduce the ship accident. Internal ship problems, lousy weather, and human errorsc contribute to shipping accidents. A capsizing ship occurs for single or multiple combination reasons. The paper discusses locations measured from the coastline, significant wave height, and period waves when a capsizing ship. The paper’s research methodology: collecting data on some capsizing RoPax OCD with a range of 25 years in Indonesia water, searching wave characteristics on Copernicus Marine Service, analyzing wave characteristics with Ocean Data View (ODV), and making results. From the location of the case study investigating all capsizing RoPax near the coastline with a range of 0.12-24 miles, two capsizing RoPax OCD occurred on the river. This case suits the IMO study that almost various ships happen in the coastal area . The result of wave height characteristics shows that RoPax OCD capsizes in the low significant wave height of 0.2-1.75 meters, with nine cases in the low wave periods, two in the extended period, and a reasonable period not be founded. In conclusion, stability problems and small size cause the capsizing of RoPax OCD. Crews have more intention in onshore areas and do not carry overload.
Approximation method of the axial forces on network of connectors for modular hexagonal floating structures
Authors: Hanani Nur , Shaharuddin Nik Mohd Ridzuan , Ali Arifah , Sunarsih  
Published: June 2023

Abstract
Modular floating structures are normally made up of modules which are connected using network of connectors. These connectors are prone to heavy load due to facing the open sea wave. Previous studies have examined simple module configuration such as two rectangular form arranged linearly or three or seven hexagonal form arranged in an oblique pattern experimentally or using CFD and FE packages. Two challenges persist afterward; firstly, on applying the current findings to topology made up of a bigger number of modules and secondly on estimating the axial load values of connector at the preliminary design stage. This study developed an approximation method of axial force at the connector based on basic module configuration of hexagonal modular floating structure and axial load values determined by earlier studies. Four approximation methods vary with number of modules, arrangement and connectors facing 900 wave direction were proposed. Early analysis of the proposed method revealed that the axial force of the hexagonal modular connector is affected by the overall structure type and configuration such that hexagonal module-to-module connection requires higher axial load as compared to hexagonal modular cluster-to-cluster linkage due to load distribution amongst the connectors.
Koopman-inspired approach for identification of exogenous anomalies in nonstationary time-series data
Authors: Mallen Alex , Keller Christoph A , Kutz J Nathan 
Published: June 2023

Abstract
In many scenarios, it is necessary to monitor a complex system via a time-series of observations and determine when anomalous exogenous events have occurred so that relevant actions can be taken. Determining whether current observations are abnormal is challenging. It requires learning an extrapolative probabilistic model of the dynamics from historical data, and using a limited number of current observations to make a classification. We leverage recent advances in long-term probabilistic forecasting, namely Deep Probabilistic Koopman, to build a general method for classifying anomalies in multi-dimensional time-series data. We also show how to utilize models with domain knowledge of the dynamics to reduce type I and type II error. We demonstrate our proposed method on the important real-world task of global atmospheric pollution monitoring, integrating it with NASA’s Global Earth Observing System Model. The system successfully detects localized anomalies in air quality due to events such as COVID-19 lockdowns and wildfires.
Standing and Accountability
Authors: Radzik Linda 
Published: June 2023

Abstract
Increasingly, philosophers who write about moral responsibility and accountability practices invoke the concept of “standing,” a term they claim to borrow from legal contexts. Yet critics point out that these philosophers have been maddeningly unclear about what standing is. Worse yet, no single account of the concept of “standing” seems to accommodate its current usage. This essay presents a thin account of standing, defends its usefulness in philosophical analyses of accountability practices, and develops further conceptual tools for thinking about standing.
Creating a virtual leaf
Authors: Harwood Richard 
Published: June 2023

Abstract
When microscopy meets modelling the exciting concept of a ‘virtual leaf’ is born. The goal of a ‘virtual leaf’ is to capture complex physiology in a virtual environment, resulting in the capacity to run experiments computationally. One example of a ‘virtual leaf’ application is capturing 3D anatomy from volume microscopy data and estimating where water evaporates in the leaf and the proportions of apoplastic, symplastic and gas phase water transport. The same 3D anatomy could then be used to improve established 3D reaction-diffusion models, providing a better understanding of the transport of CO2 across the stomata, through the airspace and across the mesophyll cell wall. This viewpoint discusses recent progress that has been made in transitioning from a bulk leaf approach to a 3D understanding of leaf physiology, in particular, the movement of CO2 and H2O within the leaf.
Expression of HSP70 in Human Skin After Cryolipolysis Treatment
Authors: Stevens W Grant , Perez Justin L , Pham Linda D , Jimenez Lozano Joel N 
Published: June 2023

Abstract

Background
Cryolipolysis nonsurgically targets and reduces subcutaneous fat through controlled cooling of skin and underlying fatty tissue. Although skin changes after cryolipolysis treatment have been observed clinically, the mechanisms by which these occur are not well understood.

Objectives
The aim of this study was to investigate the expression of heat shock protein 70 (HSP70) in the epidermal and dermal layers of human skin following cryolipolysis treatment.

Methods
Subjects (N = 11; average age, 41.8 years; average BMI, 29.59 kg/m2) were recruited to receive cryolipolysis treatment with a vacuum cooling cup applicator (−11°C/35 minutes) prior to abdominoplasty surgery. Treated and untreated abdominal tissue samples were harvested immediately after surgery (average follow-up, 15 days; range, 3 days to 5 weeks). Immunohistochemistry for HSP70 was performed on all samples. Slides were digitized and quantified in epidermal and dermal layers.

Results
There was higher epidermal and dermal HSP70 expression in cryolipolysis-treated pre-abdominoplasty samples vs untreated samples. There was a 1.32-fold increase of HSP70 expression in the epidermis (P &lt; .05) and a 1.92-fold increase in the dermis (P &lt; .04) compared with untreated samples.

Conclusions
We found significant induction of HSP70 after cryolipolysis treatment in epidermal and dermal layers. HSP70 has potential therapeutic benefits and is recognized to have a role in skin protection and adaption after thermal stress. Although cryolipolysis is popular for subcutaneous fat reduction, cryolipolytic HSP induction in the skin may prove valuable for additional therapeutic applications, including skin wound healing, remodeling, rejuvenation, and photoprotection.

Level of Evidence: 4
Using Artificial Intelligence to Quantify Sexual Dimorphism in Aesthetic Faces: Analysis of 100 Facial Points in 42 Caucasian Celebrities
Authors: Liu Alice S , Salinas Cristina A , Sharaf Basel A 
Published: June 2023

Abstract

Background
Sexual dimorphism has been studied in the faces of average populations and worldwide celebrities; however, a focused analysis of attractive Caucasian faces has not been conducted.

Objective
The study harnesses the power of artificial intelligence (AI) to efficiently analyze these facial patterns in attractive Caucasian male and female celebrities.

Methods
Twenty-one male and 21 female Caucasian celebrities were selected based on popular editorial rankings, modeling agencies, and casting directors from 2017 to 2022. Frontal photographs of celebrities aged 23 to 42 without facial animation were selected. One hundred facial landmarks were identified using semi-automatic image analysis software consisting of modified Apple Vision (Cupertino, CA) machine-learning algorithms with additional custom landmarks. Measurements were converted to absolute distances by fixing subjects’ white-to-white corneal diameters to the validated average in Caucasians.

Results
Attractive females had significantly greater upper and middle facial proportions, more uniformly divided facial thirds, and greater canthal tilt compared with males. Attractive males had significantly greater facial height, bizygomatic and bigonial widths, medial and total brow lengths, and alar width than females. The golden ratio (1.618) was observed in the ratio of facial height to bigonial width in females (1.613), and attractive males closely approximated that ratio (1.566). There were no significant differences in interpupillary distances, eyebrow angles, or horizontal palpebral fissure lengths. No faces in either sex exhibited scleral show.

Conclusions
The study is the first to utilize AI in quantifying key sexual dimorphisms among Caucasian celebrity faces. Identifying these contemporary patterns may provide valuable considerations in planning facial aesthetic and gender affirmation surgery.

Level of Evidence: 3
Characterization and alteration of product specificity of Beijerinckia indica subsp. indica β-fructosyltransferase
Authors: Li Ding , Miyasaka Yuki , Kubota Arisa , Kozono Takuma , Kitano Yoshikazu , Sasaki Nobumitsu , Fujii Tadashi , Tochio Takumi , Kadota Yoshihiro , Nishikawa Atsushi , Tonozuka Takashi 
Published: June 2023

ABSTRACT
The trisaccharide 1-kestose, a major constituent of fructooligosaccharide, has strong prebiotic effects. We used high-performance liquid chromatography and 1H nuclear magnetic resonance spectroscopy to show that BiBftA, a β-fructosyltransferase belonging to glycoside hydrolase family 68, from Beijerinckia indica subsp. indica catalyzes transfructosylation of sucrose to produce mostly 1-kestose and levan polysaccharides. We substituted His395 and Phe473 in BiBftA with Arg and Tyr, respectively, and analyzed the reactions of the mutant enzymes with 180 g/L sucrose. The ratio of the molar concentrations of glucose and 1-kestose in the reaction mixture with wild-type BiBftA was 100:8.1, whereas that in the reaction mixture with the variant H395R/F473Y was 100:45.5, indicating that H395R/F473Y predominantly accumulated 1-kestose from sucrose. The X-ray crystal structure of H395R/F473Y suggests that its catalytic pocket is unfavorable for binding of sucrose while favorable for transfructosylation.
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug–drug interaction prediction
Authors: Han Chen-Di , Wang Chun-Chun , Huang Li , Chen Xing 
Published: June 2023

Abstract
Adverse drug–drug interactions (DDIs) have become an increasingly serious problem in the medical and health system. Recently, the effective application of deep learning and biomedical knowledge graphs (KGs) have improved the DDI prediction performance of computational models. However, the problems of feature redundancy and KG noise also arise, bringing new challenges for researchers. To overcome these challenges, we proposed a Multi-Channel Feature Fusion model for multi-typed DDI prediction (MCFF-MTDDI). Specifically, we first extracted drug chemical structure features, drug pairs’ extra label features, and KG features of drugs. Then, these different features were effectively fused by a multi-channel feature fusion module. Finally, multi-typed DDIs were predicted through the fully connected neural network. To our knowledge, we are the first to integrate the extra label information into KG-based multi-typed DDI prediction; besides, we innovatively proposed a novel KG feature learning method and a State Encoder to obtain target drug pairs’ KG-based features which contained more abundant and more key drug-related KG information with less noise; furthermore, a Gated Recurrent Unit-based multi-channel feature fusion module was proposed in an innovative way to yield more comprehensive feature information about drug pairs, effectively alleviating the problem of feature redundancy. We experimented with four datasets in the multi-class and the multi-label prediction tasks to comprehensively evaluate the performance of MCFF-MTDDI for predicting interactions of known-known drugs, known-new drugs and new-new drugs. In addition, we further conducted ablation studies and case studies. All the results fully demonstrated the effectiveness of MCFF-MTDDI.