bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coping Strategies to Address Water Scarcity through Local Knowledge in Tidal Flood and Erosion-Prone Areas: A Case Study of Timbulsloko, Sayung Regency, Demak Municipality
Authors: Karmilah M , Madrah M Y 
Published: April 2024

Abstract
Access to clean water in Indonesian households remains relatively low due to insufficient clean water facilities and infrastructure. This research addresses the Sustainable Development Goal (SDG) of providing clean water, sanitation, and a clean environment (abbreviated as WASH) in sinkingcoastal areas vulnerable to tidal floods and erosion. PDAM and PAMSIMAS services struggle to function effectively in these regions. Despite government programs aimed at providing drinking water to impoverished communities, PDAM services often remain inaccessible to residents in subsiding coastal areas afflicted by floods, tides, and erosion. The residents of Hamlet Timbulsloko face a critical challenge in securing clean water and maintaining proper sanitation, exacerbated by submerged wellscaused by erosion. In their quest to meet this basic need, residents have adopted various coping strategies, including rainwater collection using buckets, basins, and even repurposed containers. Rainwater harvesting has become a community-driven solution to the unmet need for clean water, particularly when the cost of refill water is prohibitively high within the region. This research takes inspiration from the local knowledge and practices of residents and seeks to provide a rainwater harvesting model as a sustainable clean water solution
Traffic Counting using YOLO Version-5 (A case study of Jakarta-Cikampek Toll Road)
Authors: Darmadi  , Doni Haidar Nur 
Published: April 2024

AbstractThe Jakarta-Cikampek toll road is the main access to the Tanjung Priok port, which is connected directly via the Cilincing-Tanjung Priuk Port toll road as a development of theNorth Jakarta reclamation coastal area. YOLO (You Only Look Once) is a common object detection model that offers faster and more accurate results.. The purpose of this article is to use advancements in information technology to automate the process of manually recording traffic counts on the highway. The method utilized in this study was to record a video of traffic movements with a smartphone camera and save it in MP4 format. Calculations are performed at the office after receiving recorded video and utilizing a program written by the author that makes use of Python, OpenCV, Pytorch, and YOLO version 5 software. When passing through a counter box, the traffic volume is counted and saved in Excel format (.xls). The video records footage near the Tambun area of the Jakarta-Cikampek toll road. According to the measurement accuracy of 95% for cars, 96% for buses, and 89% for trucks respectively, it can be stated that using YOLO version 5 for detecting vehicle volume and categorization is fairly satisfactory.
Mechanical Properties Geopolymer Concrete Based on Fly Ash PLTU Tanjung Jati B Jepara As An Alternative Material
Authors: Kustirini A , Situmorang A , Muldiyanto A 
Published: April 2024

Abstract
Geopolymer concrete is a new material and has very good prospects because it does not use cement, where the material uses environmentally friendly materials and is energy-efficient, because it can use industrial waste materials and manufacturing processes. Geopolymer concrete does not require too much energy, as does the process from making cement which requires at least temperatures up for 800°C. The aim of this study is to evaluate and examine the worth of geopolymer concrete’s mechanical qualities. Compression tests, split tests, and flexural strength tests on geopolymer concrete are all part of the battery of mechanical properties tests. The trial study of geopolymer concrete was used to inform the mix design employed in the production of the test specimens. Merapi sand fine aggregate, 10-20 mm coarse aggregate, PLTU Tanjung Jati B Jepara fly ash from coal waste, Na2SiO3, 8M NaOH activator, and 2% fly ash superplasticizer were employed in this research. Three 15/30 cylinders are used to test concrete’s compressive strength, three 15/30 cylinders are used to test concrete’s split tensile strength, and three 15x15x60 are used to test concrete’s flexural strength in this study. After only 28 days, testing could begin. Compressive strength was found to be 31.746 MPa, split tensile strength was 3.920 MPa, and flexural strength was found to be 4.833 MPa for geopolymer concrete.
Analysis of Environmentally Friendly Concrete (Green Concrete) Using Coal Fly Ash as a Substitute Material for Portland Cement in Road Pavement
Authors: Mudiyono R , Haidar A Desvian , Fredy A 
Published: April 2024

Abstract
The development of technology in the field of construction, especially in concrete technology, is now becoming more rapid, which requires concrete materials that can adapt to the times. As well as for energy savings from normal concrete materials from a mixture of fine, coarse, cement and water can now be added to other materials. In this era, the use of cement for concrete making materials is very identical, therefore to reduce the use of cement, it is necessary to mix other materials. The research method that researchers use is the experimental-laboratory method by making test objects in the form of concrete cylinders with a size of 15x30 cm. Analysis of concrete testing using Fly Ash mixtures in this study there are several variations of fly ash mixtures, namely fly ash 50%, 60%, and 70%. In testing several Fly Ash mixtures produced a compressive strength value of 50% Fly Ash percentage and 2% Accelerator of 161.630 kg/cm2, 60% Fly Ash and 2% Accelerator of 154.189 kg/cm2, 70% Fly Ash and 2% Accelerator of 92.670 kg/cm2. In the results of this study with several variations of fly ash mixtures, the highest compressive strength value was obtained at a percentage of Fly Ash 50% and Accelerator 2%, which amounted to 161.630 kg/cm2 with the first variation test specimen sample at the age of 28 days of concrete.
Airplane Passenger Prediction Model at Jendral Ahmad Yani Airport, Semarang
Authors: Muldiyanto A , Handajani M 
Published: April 2024

Abstract
The prediction model for airplane passengers at General Ahmad Yani Airport in Semarang is very important, especially for airport managers, so that the infrastructure at the airport can be facilitated by managers according to the number of passengers available. Airplane passengers in this case include arriving and departing passengers. The prediction model is differentiated between before and after the COVID-19 pandemic, where passenger fluctuations during the Covid pandemic saw a significant decrease in passengers and after normal times there was a significant increase. Due to limited existing data, the independent variable uses GDP, because GDP is considered to represent economic growth and regional economic structure. The airport service area is limited by the presence of other airports close to the airport under study. The model is planned using Artificial Neural Networks (ANN) but if the data cannot be processed then the model is analyzed using Regression. The prediction model will later compare before and after post-Covid. Analysis of existing data shows that the passenger prediction model used in the future is a post-COVID-19 prediction model, the results of which are better applied with other possible independent variables if any.
Current-carrying tribological behavior of textured Au/MoS2 coatings in vacuum
Authors: Pei Lulu , Ji Li , Li Hongxuan , Cai Haichao , Xue Yujun 
Published: April 2024

Abstract
Sliding electrical contact has been widely used in spacecraft such as slip ring for solar windsurfing, and its service life directly affects that of the spacecraft. Au as a sliding electrical contact material has been widely used in aerospace equipment, but poor lubricity limits its service life. To address this issue, this study introduces MoS2 into the texturing holes of the Au coating, which can improve the lubricity, and maintain the continuity of Au and thus its conductivity. Additionally, the effect of texture density on the vacuum current-carrying tribological properties of the textured Au/MoS2 coating was investigated. The results indicate that texture not only reduces the mechanical properties of the coating but also affects the amount of MoS2 that can be filled. A high texture density greatly reduced the carrying capacity, leading to serious abrasive wear. However, low texture density results in serious adhesive wear owing to insufficient lubricity. Under an appropriate texture density, excellent vacuum current-carrying tribological behaviour can be achieved depending on the formation of a transfer film of MoS2 and Au, which maintains conductivity through Au and provides lubricity through MoS2. This study is of great significance in prolonging the service life of sliding electrical contacts and provides a new idea for the design of sliding electrical contact materials.
Development of hBN/natural fibres reinforced polymer composites using grey relation grade analysis for thermal and electrical applications
Authors: Kirubakaran Ramraji , Salunke Dinesh Ramesh , Pitchumani Shenbaga Velu , Gopalan Venkatachalam , Sampath Aravindh 
Published: April 2024

Abstract
The objective of this work is to enhance the thermal conductivity and electrical properties of polymer hybrid composites through a systematic novel grey relation grade analysis (GRGA) optimization approach. This involves reinforcing the hybrid composites with hexagonal boron nitride (hBN) and various kinds of natural fibers or fillers. The development of a unique technology to produce multiphase composites using 2% of natural fibers or fillers such as coir fiber, rice husk filler, wood filler (WF), banana fiber (BF) and sugarcane fiber along with hBN (1, 3, 5 wt.%) particulates as reinforcements in epoxy matrix. The Taguchi L15 matrix array is utilized to fabricate interlaced composite samples via hand layup molding. Ultrasonic waves are used to ensure the uniform distribution of hBN filler into the matrix. Analysis of variance and GRGA reveal the significant results. It shows that the multiphase hybrid composites exhibit good thermal conductivity when higher content of hBN (5 wt.%) particulate for all the micro particulate polymer (MPP) composites. Multi-response optimization shows that the micro BF (2 wt.%) interlaces with hBN (5 wt.%) composite exhibits the higher thermal conductivity and electrical resistance compared to all other natural fiber interlaced composites. The aforementioned MPP composite has thermal conductivity of 1.03 W (m·K)−1 and electrical resistance of 279.88 Giga Ohms. Besides, the WF interlaced hBN (5 wt.%) composite shows the minimum dielectric constant compared to all other natural fiber composites. This desirable result is caused by the proper dispersion of hBN with the matrix which encourages interlocking with the fiber and the matrix. Maximum electrical resistance is observed for composite containing 5 wt.% of h-BN and 2 wt.% of BF. The developed MPP composite could be used in heat shields, electrical insulation components, and interior automotive components like dashboards, luggage compartments and interior walls.
Characterization of wheat husk-derived holey carbon/(RGO)
x
/CoFe2O4/PVA nanocomposites: insights into structural, optical, magnetic, and dielectric properties
Authors: Gholipur Reza 
Published: April 2024

Abstract
In this particular study, an uncomplicated method involving chemical co-precipitation was employed to create nanocomposites known as wheat husk-derived holey carbon/reduced graphene oxide/cobalt ferrite/polyvinyl alcohol (WHHC/(RGO)
x
/CF/PVA). The utilization of biomass materials is a noteworthy aspect that has caught the attention of researchers in this field. It is worth mentioning that the characteristics related to both magnetism and dielectricity in the flexible WHHC/(RGO)
x
/CF/PVA nanocomposites can be controlled by adjusting the amount of RGO present in the composition. To explore the composite’s absorption properties, the influence of RGO content was investigated, and it was found that there is a direct correlation between higher RGO content and increased absorption. The WHHC/(RGO)
x
/CF/PVA structure exhibits an enhanced impedance matching due to the strong interfacial interaction between RGO and cobalt ferrite nanoparticles. This porous composition possesses an optimal structure for capturing and collecting light effectively. Moreover, the WHHC/(RGO)
x
/CF/PVA nanocomposites have exhibited great potential in manufacturing flexible electronic devices such as light-dependent resistors, when employed as an electronic material. Their lightweight characteristics and flexibility are key contributors to the success achieved in this aspect. However, it is important to note that their overall shape tends to resemble that of traditional absorber equipment commonly used in the field.
Deep learning based event reconstruction for cyclotron radiation emission spectroscopy
Authors: Ashtari Esfahani A , Böser S , Buzinsky N , Carmona-Benitez M C , Cervantes R , Claessens C , de Viveiros L , Fertl M , Formaggio J A , Gaison J K , Gladstone L , Grando M , Guigue M , Hartse J , Heeger K M , Huyan X , Jones A M , Kazkaz K , Li M , Lindman A , Marsteller A , Matthé C , Mohiuddin R , Monreal B , Morrison E C , Mueller R , Nikkel J A , Novitski E , Oblath N S , Peña J I , Pettus W , Reimann R , Robertson R G H , Saldaña L , Schram M , Slocum P L , Stachurska J , Sun Y-H , Surukuchi P T , Telles A B , Thomas F , Thomas M , Thorne L A , Thümmler T , Tvrznikova L , Van De Pontseele W , VanDevender B A , Weiss T E , Wendler T , Zayas E , Ziegler A 
Published: April 2024

Abstract
The objective of the cyclotron radiation emission spectroscopy (CRES) technology is to build precise particle energy spectra. This is achieved by identifying the start frequencies of charged particle trajectories which, when exposed to an external magnetic field, leave semi-linear profiles (called tracks) in the time–frequency plane. Due to the need for excellent instrumental energy resolution in application, highly efficient and accurate track reconstruction methods are desired. Deep learning convolutional neural networks (CNNs) - particularly suited to deal with information-sparse data and which offer precise foreground localization—may be utilized to extract track properties from measured CRES signals (called events) with relative computational ease. In this work, we develop a novel machine learning based model which operates a CNN and a support vector machine in tandem to perform this reconstruction. A primary application of our method is shown on simulated CRES signals which mimic those of the Project 8 experiment—a novel effort to extract the unknown absolute neutrino mass value from a precise measurement of tritium β
−-decay energy spectrum. When compared to a point-clustering based technique used as a baseline, we show a relative gain of 24.1% in event reconstruction efficiency and comparable performance in accuracy of track parameter reconstruction.
Keeping you connected or keeping you addicted? Weekly use of social media platforms is associated with hazardous alcohol use and problem gambling among adults
Authors: Savolainen Iina , Oksanen Atte 
Published: April 2024

Abstract

Aims
A wide variety of social media platforms exist, each offering tailored solutions to attract specific target audiences based on their social media needs and interests. This diversity may pose a risk factor for the development or perpetuation of harmful behaviors. Research has established a connection between social media use and increased health risk behaviors. This six-wave exploratory longitudinal study investigated the associations between active social media use, hazardous alcohol use, and problem gambling among adult social media users.

Methods
Data were collected via surveys in 6-month intervals, starting in March–April 2021 (T1: N = 1530; Mage = 46.67; SD = 16.42; 50.33% male). Of the T1 respondents, 58.10% participated in T6 (n = 889). Measures included the frequency of use of different social media platforms, the 3-item Alcohol Use Disorders Identification Test (AUDIT-C), and the Problem Gambling Severity Index (PGSI). Hybrid multilevel regression models were used for analyses.

Results
We found positive within-person effects of weekly Facebook use and between-person effects of weekly use of Facebook, TikTok, and gambling-related online communities on drinking. These results suggest an increase in hazardous alcohol consumption over time among the platforms’ active users. Weekly Instagram use had a negative between-person effect on hazardous alcohol use. Individuals using TikTok or gambling communities weekly were more prone to problem gambling compared to non-weekly users.

Conclusions
There are risks involved in the active use of some social media services among adult users. Prevention work, including digital health interventions, should be targeted according to the appropriate user group.
Classification of Breast Implant Malposition
Authors: Pacifico Marc D , Goddard Naveen V , Harris Paul A 
Published: April 2024

Abstract

Background
Implant malposition is a well-recognized complication of prosthetic breast implants. However, to date, no objective classification system has been described.

Objectives
The aim of this study was to perform a prospective trial of an objective and reproducible classification system for implant malposition formulated by analyzing retrospective data from a large cohort of patients with implant malposition.

Methods
The authors retrospectively analyzed the degree of medial/lateral and inferior/superior implant malposition relative to their optimal position within the breast footprint in a series of 189 breasts (n = 100 patients). An objective classification system for implant malposition was devised and then applied to a prospective cohort of 53 breasts in 28 patients with implant malposition.

Results
The degree of malposition in a single or combination of axes was categorized according to the distance (measured in centimeters) from the ideal breast footprint. The classification system incorporated the axis of malposition and distance to generate a treatment decision-making guide. Cases of Grade 1 malposition did not warrant surgical intervention, whereas surgical correction was warranted in all Grade 3 cases. In the combined patient cohort (n = 242 breasts, 128 patients), lateral, inferior, medial, and superior displacement ranged between Grades 1 and 3. There was no interobserver variability in the grades assigned to 9 out of 10 patients in the prospective group.

Conclusions
A simple and reproducible classification system for implant malposition has been created that allows surgeons to objectively record the extent of malposition, guides surgical decision-making, and can be used to document the results of any intervention.

Level of Evidence: 3
Prevalence Patterns of Body Contouring Procedures Among Injectable Glucagon-like Peptide-1 Receptor Agonist Users
Authors: Toms John A , O’Neill Elizabeth , Wiegmann Aaron L , Adepoju Jubril , Raj Mamtha S 
Published: April 2024

Abstract

Background
The introduction of injectable glucagon-like peptide-1 (GLP-1) receptor agonists such as Ozempic (Novo Nordisk, Plainsboro, NJ) and Wegovy (Novo Nordisk Inc.) has transformed weight loss in plastic surgery patients, often leading to excess skin and soft tissue amenable to body contouring procedures.

Objectives
The aim of this study was to examine the relationship between injectable GLP-1 receptor agonist use and the growing need for body contouring surgeries, focusing on trunk and extremity procedures.

Methods
A retrospective analysis of the PearlDiver database (PearlDiver, Inc., Colorado Springs, CO) was conducted, examining prescription data for Ozempic, Wegovy, and liraglutide, and correlating these with body contouring procedures across 30 US states from 2011 to 2022. Multimodal statistics were used to compare surgery rates and assess dosage and time interval patterns among GLP-1 receptor agonist users and nonusers.

Results
Significant correlations between GLP-1 receptor agonist use (881 Ozempic, 59 Wegovy, and 4655 liraglutide users) and increased body contouring surgeries were found. Ozempic showed weak correlations with brachioplasty (r = 0.23) and panniculectomy (r = 0.21), and Wegovy with breast procedures (r = 0.28), while liraglutide showed consistent correlations across surgeries. Time to surgery varied from 87 days (Wegovy) to 1018 days (liraglutide), with higher surgery rates among users (P &lt; .01) and dose-related differences, especially in Ozempic and Wegovy users.

Conclusions
This study demonstrates a dose-dependent link between the use of GLP-1 receptor agonists and an increase in subsequent aesthetic body contouring surgeries, highlighting the need for surgeons to adapt to the merging of medicinal body transformation and aesthetic plastic surgery.

Level of Evidence: 4
Local recurrence in malignant peripheral nerve sheath tumours: multicentre cohort study
Authors: Jansma Christianne Y M N , Acem Ibtissam , Grünhagen Dirk J , Verhoef Cornelis , Martin Enrico ,   MONACO Collaborators, Coert J Henk , Flucke Uta E , Slooff Willem-Bart M , van Dalen Thijs , Been Lukas B , Bonenkamp Han J , Anten Monique H M E , Broen Martinus P G , Bemelmans Marc H A , Bramer Jos A M , Schaap Gerard R , Kievit Arthur J , van Houdt Winan J , van der Hage Jos , van de Sande Michiel A J 
Published: April 2024

Abstract

Background
Malignant peripheral nerve sheath tumours (MPNSTs) have high local recurrence (LR) rates. Literature varies on LR risk factors and treatment. This study aimed to elucidate treatment options and risk factors for first and second LRs (LR1 and LR2) in a large multicentre cohort.

Method
Surgically treated primary MPNSTs between 1988 and 2019 in the MONACO multicentre cohort were included. Cox regression analysed LR1 and LR2 risk factors and overall survival (OS) after LR1. Treatment of LR1 and LR2 was evaluated.

Results
Among 507 patients, 28% developed LR1. Median follow-up was 66.9 months, and for survivors 111.1 months. Independent LR1 risk factors included high-grade tumours (HR 2.63; 95% c.i. 1.15 to 5.99), microscopically positive margins (HR 2.19; 95% c.i. 1.51 to 3.16) and large tumour size (HR 2.14; 95% c.i. 1.21 to 3.78). Perioperative radiotherapy (HR 0.62; 95% c.i. 0.43 to 0.89) reduced the risk. LR1 patients had poorer OS. Synchronous metastasis worsened OS (HR 1.79; 95% c.i. 1.02 to 3.14) post-LR1, while surgically treated LR was associated with better OS (HR 0.38; 95% c.i. 0.22 to 0.64) compared to non-surgical cases. Two-year survival after surgical treatment was 71% (95% c.i. 63 to 82%) versus 28% (95% c.i. 18 to 44%) for non-surgical LR1 patients. Most LR1 (75.4%) and LR2 (73.7%) patients received curative-intent treatment, often surgery alone (64.9% versus 47.4%). Radiotherapy combined with surgery was given to 11.3% of LR1 and 7.9% of LR2 patients.

Conclusion
Large, high-grade MPNSTs with R1 resections are at higher LR1 risk, potentially reduced by radiotherapy. Surgically treated recurrences may provide improved survival in highly selected cases.