bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Implementation Strategy of Flood Control Program Based on Multi Criteria Assessment in Pangkalpinang City, Bangka Belitung Islands Province
Authors: Bachtiar H , Akbar M S , Denansyah F I , Eliasta L , Rudyanto A , Saputra A 
Published: May 2024

Abstract
Flood event is occurred almost every year in Pangkalpinang City with the most devastating flood event was occurred in 2016 historically. Irrespective of being caused by extreme rainfall and high tides, the flooding occurred due to a decrease in the hydrological condition of the watershed due to illegal tin mining activities in the upstream area. This paper discusses the flood control strategies in Pangkalpinang City which is based on Multi Criteria Assessment (MCA). The MCA considering the technical aspects (i.e. hydraulic model) and non-technical aspects (i.e. risk assessment, economic, social, and environmental aspects) to prioritize the infrastructure conbstruction. Therefore, some areas are already identified as the focal problems that need to be applied by the concept of integrated flood control program. At the moment in 2023, the first construction priority is in PDAM-Jelana Detention Pond Flow Diversion from Pedindang River in the upstream area. For the future plan, it is planned to carry out the flood control construction according to the priority analysis namely Perak Retention Pond, River Training, Rangkui Tidal Gates, Pasir Padi Sea Wall and New-Tin Detention Pond.
An optimization model for integrated water allocation in the parallel system of Segawe regulating weir and Wonorejo multipurpose dam, Tulungagung, East Java
Authors: Mujiburrakhman M , Jayadi R , Istiarto  , Nurdianyoto I 
Published: May 2024

Abstract
The parallel system of Segawe Regulating Weir and Wonorejo Multipurpose Dam is one of waterworks in the Brantas river basin. Segawe Regulating Weir was built to divert its local inflow into Wonorejo Reservoir as well as to release certain amounts of water downstream needed for ecosystem maintenance and irrigation. On the other hand, Wonorejo Multipurpose Dam was built to serve for ecosystem maintenance, irrigation, domestic water supply and electricity generation. This research discusses an optimization model that integrates the purposes of the two river structures based on the release-demand ratio and by considering the priority constraints. The optimization model was used to derive the operating pattern under requirement for the initial condition of Wonorejo Reservoir in the first period must be the same as the final condition in the last period. The results show that the reliabilities of Segawe Regulating Weir and Wonorejo Multipurpose Dam for all the purposes can reach 100% in dry, normal and wet years, where the potential energies are 20.33, 22.45 and 24.16 GWh, respectively. However, the results come with some trade-offs in the release capability of each river structure due to the integration concept.
Optimizing Solar Potential: Site Potential Selection for Floating Photovoltaics in the Sepaku Semoi Dam Reservoir
Authors: Herlambang I F , Lestari S , Yuniarti T 
Published: May 2024

Abstract
Green energy is considered an essential solution to address the world’s energy scarcity. However, there are several technologies available for producing green energy, including photovoltaics, with a specific focus on floating photovoltaics. The application of photovoltaics on water surfaces can enhance the cooling effect of solar modules, thereby achieving optimal temperatures. The implementation of floating photovoltaics should be approached with careful consideration, for instance, hydrodynamic aspects, reservoir water level fluctuations, forest shadow effects, and safety distance from Dam Facilities. Furthermore, in light of the relocation of the Indonesian National Capital City from Jakarta to Ibu Kota Nusantara (IKN), the city’s green energy options must be thoroughly studied and researched. The Sepaku Semoi Dam is located in Penajam Paser Utara, Kalimantan Timur, and is designated as a flood control and raw rater supplier for IKN. In this research, hydrodynamic simulations using MIKE 21 were conducted to determine water surface velocities. These results were then combined with reservoir depth and the location of areas unaffected by forest shadows. The outcome of this analysis revealed that 15.2% of the water surface area in the Sepaku Semoi Dam Reservoir has the potential for installing floating photovoltaics. With an energy density of floating photovoltaic around 100 MW/km2, Sepaku Semoi Dam Reservoir would produce 50.83 MW. As a result, this research has generated a Potential Location Map for Floating Photovoltaics in Sepaku Semoi Reservoir Dam Reservoir.
Water Turbidity Mapping Using Sentinel-2A Imagery and Cloud Based Google Earth Engine in Saguling Reservoir
Authors: Dewantoro M D R , Ulfa M , Supatmanto B D 
Published: May 2024

Abstract
Turbidity represents the level of suspended sediments in water, that will contribute to a greater effect on the sedimentation process such as siltation in river and reservoir. Knowing the distribution of turbidity is expected to provide an overview of which parts of the reservoir area need special attention to reduce the sedimentation rate of the reservoir. The study location is the Saguling Reservoir. All stages in this study are processed in the Google Earth Engine, a cloud-based computing that only produce one output of water with turbidity index values only. The visualization shows that the normalized difference turbidity index (NDTI) varies with a minimum value index of -0.187228 and a maximum value index of 0.09871. The results of this study are sufficient to describe where the source of turbidity has the potential to become sediment in the reservoir which continues to settle and can gradually accelerate the lifetime of the dam. The map produced can provide an overview for stakeholders who have a task in managing water resources. The higher of turbidity show the worse condition of the catchment area or watershed area upstream. The conditions can be a consideration in planning engineering that might be done so as to reduce sedimentation that occurs in the reservoir.
Experimental study on Local Scour around Bridge Pier Models generated by Flash Floods carrying Debris
Authors: Maimun R , Abdullah  , Nizarli  , Safwan  
Published: May 2024

Abstract
The analysis of local scouring around bridge piers currently is based on typical river flood discharges. However, extreme events like flash floods with high velocity and discharge, carry wooden debris that accumulates upstream of the bridge pier. This results in additional forces due to flow diversion and reduction in flow area, so impacting hydraulic structures and exacerbating the scouring process. The study objective was to examine the impact of debris transported by flash floods on the depth and distribution patterns of scouring around bridge piers. This research was conducted in a 15.5-m-length, 0.5-m-width, and 1.0-m-height glass flume, layered by 25 cm thick of sand which is d50=0.52 mm and σg=2.327. Flash flood simulations were conducted by flowing the water mixed with debris content of 0, 5, 10, and 15% to hit a sharp nose pier model which is installed in the channel. Scour depth was measured using point gauges at 50 points around the pier. The findings indicated that an irregular distribution pattern of scour is formed around the pier, and scour depth decrease when increasing debris content. It is necessary to corrected in the range of 0.65-1.43 for 0-15% debris content carried by the flash flood compared to normal flood.
Overview of watershed development and river sedimentation condition in Sorong, Papua, Indonesia
Authors: Putra S S , Usman A , Pramudawati M A H , Datu M T , Leyn R A D , Seilatuw R , Bame Y M 
Published: May 2024

Abstract
Sorong Regency is developed to be a special economic zone, for enhancing economic in the eastern part of Indonesia. Few studies or investigations, which are related to river sedimentation due to the development, are rarely available. In September 2023, we conducted field investigation to four watersheds in Sorong (Remu, Mariat, Klasaman, and Warsamson Watersheds), in which each of them has different services. The normal flow at the upstream of Remu River was not visually turbid, and the watershed was well conserved for drink water purposes. The Mariat River was visually turbid as the watershed was developed for transmigration and agriculture area, which is likely related to siltation at the downstream segment of the river and sedimentation in the irrigation facilities. The sand mining and washing activities in the Klasaman Watershed are likely related to the difference of visual turbidity of the upstream and downstream river flows relative to the mining site. We think that the erosion protection of manmade slopes are needed to reduce the amount of sediment entering the Warsamson River. Erosion and sedimentation monitoring efforts are crucial and urgent toward sustainable water resources development in Sorong, Papua, Indonesia.
Assessement of Morphometric Characteristics of Riko Manggar Sub-Catchments to Identify the Soil Erosion Risk of Nusantara New Capital City, East Kalimantan, Indonesia
Authors: Wahid A N , Willsond  , Permana S A , Farid M , Adityawan M B , Kuntoro A A 
Published: May 2024

Abstract
Motivated by the critical condition in Jakarta, a new capital city called Nusantara in East Kalimatan has been prepared to answer this problem. Although it is prepared to be a sustainable green city, no city cannot evade from the ecological footprints. These activity could trigger a massive deforestation and forest degradation and also become a direct implication in soil erosion. Identification of area at risk of erosion and prioritizing it is necessary in the development and management progress of the city. Riko Manggar’s sub-watershed, where Nusantara is planned to be build, has 5 sub-catchments. Fortunately, Nusantara 0 km point has already placed in the lowest risk erosion area. Furthermore, it will be more convenient to expand the development to the west and east direction. Moreover, there is needed to make an erosion mitigation management before developing the upstream and downstream area.
Open-access digital elevation model (DEM) selection for flood inundation modelling using HEC-RAS in Capital City of Nusantara
Authors: Javas J , Roesbianto A S B , Sihombing Y I , Farid M , Adityawan M B , Kuntoro A A , Suwarman R , Yosa I M 
Published: May 2024

Abstract
Flood is a classic but complex issue in most regions of Indonesia. Nusantara, the future capital of Indonesia, is now undergoing construction but the site continues to experience flooding due to high intensity rainfall. To overcome this challenge, identification of flood points in those areas needs to be done. Digital Elevation Models (DEM) are the most important component in modeling flood inundation in data-sparse areas. High-accuracy DEMs have been found to give better flood estimation but the availability of such data is very limited. Therefore, open-access DEMs, such as SRTM, DEMNAS, and MERIT-Hydro, are the most common choices used in modeling flood inundation in Indonesia. Each data set may provide varying model outcomes, due to different data processing methods. These results often lead to confusion as to which result should be used in subsequent studies. In this study, flood inundation in Nusantara will be generated using different DEMs and HEC-RAS hydraulic modeling with 25-, 50-, and 100-year return period rainfall events. The return period rainfall was obtained by calibrating Global Precipitation Measurement (GPM) satellite rain data. The results provide various flood inundation conditions, MERIT-Hydro tends to present higher flood depths. Followed by DEMNAS and SRTM which have lower flood depths. On the other hand, the use of return period variation gives a linear increase in flood depth for the DEMNAS model. While a decline in increment occurred in the SRTM and MERIT-Hydro models when the two big year return periods were applied. This research can be considered for the Nusantara development planning.
Shop Talk: A Qualitative Study to Understand Peer Health-related Communication Among Black Men at the Barbershop
Authors: Wippold Guillermo M , Abshire Demetrius A , Wilson Dawn K , Woods Terry , Zarrett Nicole , Griffith Derek M 
Published: May 2024

AbstractBackgroundWhile successful health promotion efforts among Black men have been implemented at barbershops, the focus has largely been on outcomes as opposed to the processes by which outcomes are produced. An understanding of processes can be leveraged in the design and implementation of future efforts to improve the health of Black men.PurposeThe objectives of the present study were to: (i) understand peer-derived sources of health-related support at the barbershop and (ii) understand the role of the barbershop in promoting health among Black men.MethodsSeven focus groups were conducted at barbershops used predominately by Black men. Each focus group lasted between 45 and 60 min. Using a thematic approach, each focus group was independently coded by two coders using a codebook derived from an inductive and deductive approach. The results were confirmed with members of the community advisory board.ResultsThree themes emerged: (i) dynamic and candid exchange of health-related support at the barbershop; (ii) tailored forms of health-related and judgment-free communication that provide encouragement and increase motivation; and (iii) characteristics of a supportive environment at the barbershop that facilitate health-related communication.ConclusionsThe findings of the present study offer a potential pathway for public health efforts seeking to improve health among Black men. Those interested in designing and implementing these efforts can create tailored programs for Black men by recognizing and leveraging the unique dynamics of health-related conversations at the barbershop.
Attention mechanism models for precision medicine
Authors: Cheng Liang 
Published: May 2024

Abstract
The development of deep learning models plays a crucial role in advancing precision medicine. These models enable personalized medical treatments and interventions based on the unique genetic, environmental and lifestyle factors of individual patients, and the promotion of precision medicine is achieved mainly through genomic data analysis, variant annotation and interpretation, pharmacogenomics research, biomarker discovery, disease typing, clinical decision support and disease mechanism interpretation. Extensive research has been conducted to address precision medicine challenges using attention mechanism models such as SAN, GAT and transformers. Especially, the recent popularity of ChatGPT has significantly propelled the application of this model type to a new height. Therefore, I propose a Special Issue for Briefings in Bioinformatics about the topic ‘Attention Mechanism Models for Precision Medicine’. This Special Issue aims to provide a comprehensive overview and presentation of innovative researches on the application of graph attention mechanism models in precision medicine.
Ni-photoredox-catalyzed amide arylation reaction using amidyl radical formation via PCET
Authors: Nishino Sodai , Kurahashi Takuya 
Published: May 2024

Abstract
Herein, we report the N-arylation of amides based on the formation of N-centered amidyl radicals via proton-coupled electron transfer (PCET) using a nickel–photoredox dual catalyst. The reaction achieved arylation of sterically hindered linear secondary amides under mild conditions. Control experiments with radical inhibitors suggested the formation of amidyl radicals via the PCET mechanism.
CSIML: a cost-sensitive and iterative machine-learning method for small and imbalanced materials data sets
Authors: Li Shengzhou , Nakata Ayako 
Published: May 2024

Abstract
Materials science research benefits from the powerful machine-learning (ML) surrogate models, but it is also limited by the implicit requirement for sufficiently big and balanced data distribution for ML. In this paper, we propose a model to obtain more credible results for small and imbalanced materials data sets as well as chemical knowledge. Taking 2 bandgaps imbalanced data sets as instances, we demonstrate the usability and performance of our model compared with common ML models with normal sampling and resampling methods.
Deep learning in the diagnosis for cystic lesions of the jaws: a review of recent progress
Authors: Shi Yu-Jie , Li Ju-Peng , Wang Yue , Ma Ruo-Han , Wang Yan-Lin , Guo Yong , Li Gang 
Published: May 2024

Abstract
Cystic lesions of the gnathic bones present challenges in differential diagnosis. In recent years, artificial intelligence (AI) represented by deep learning (DL) has rapidly developed and emerged in the field of dental and maxillofacial radiology (DMFR). Dental radiography provides a rich resource for the study of diagnostic analysis methods for cystic lesions of the jaws and has attracted many researchers. The aim of the current study was to investigate the diagnostic performance of DL for cystic lesions of the jaws. Online searches were done on Google Scholar, PubMed, and IEEE Xplore databases, up to September 2023, with subsequent manual screening for confirmation. The initial search yielded 1862 titles, and 44 studies were ultimately included. All studies used DL methods or tools for the identification of a variable number of maxillofacial cysts. The performance of algorithms with different models varies. Although most of the reviewed studies demonstrated that DL methods have better discriminative performance than clinicians, further development is still needed before routine clinical implementation due to several challenges and limitations such as lack of model interpretability, multicentre data validation, etc. Considering the current limitations and challenges, future studies for the differential diagnosis of cystic lesions of the jaws should follow actual clinical diagnostic scenarios to coordinate study design and enhance the impact of AI in the diagnosis of oral and maxillofacial diseases.
Playing with the News on Reddit: The Politics Game on r/The_Donald
Authors: Topinka Robert , Osborne-Carey Cassian , Finlayson Alan 
Published: May 2024

Abstract
Research into online forms of far-right, alt-right, populist, and supremacist politics has raised questions about the extent to which social media enables or constitutes extremist affects and ideologies. Building on this research and through a case study of how a pro-Trump community on Reddit made sense of news events and sought to contest their representation, this paper explores the relationship between games and politics, arguing that digital platforms encourage people to apprehend, interpret, and contest political ideas and information as if engaged in a kind of videogame. We show how the group sought to manipulate platform affordances, waging a kind of Info War rooted in an understanding of politics as a pure space of conflict. We show how social media orients people to politics, phenomenologically, through the logics, structures and narratives of online games and argue that this affects not only online behaviors but more general apprehensions of politics.
Deep learning with noisy labels in medical prediction problems: a scoping review
Authors: Wei Yishu , Deng Yu , Sun Cong , Lin Mingquan , Jiang Hongmei , Peng Yifan 
Published: May 2024

Abstract

Objectives
Medical research faces substantial challenges from noisy labels attributed to factors like inter-expert variability and machine-extracted labels. Despite this, the adoption of label noise management remains limited, and label noise is largely ignored. To this end, there is a critical need to conduct a scoping review focusing on the problem space. This scoping review aims to comprehensively review label noise management in deep learning-based medical prediction problems, which includes label noise detection, label noise handling, and evaluation. Research involving label uncertainty is also included.

Methods
Our scoping review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched 4 databases, including PubMed, IEEE Xplore, Google Scholar, and Semantic Scholar. Our search terms include “noisy label AND medical/healthcare/clinical,” “uncertainty AND medical/healthcare/clinical,” and “noise AND medical/healthcare/clinical.”

Results
A total of 60 papers met inclusion criteria between 2016 and 2023. A series of practical questions in medical research are investigated. These include the sources of label noise, the impact of label noise, the detection of label noise, label noise handling techniques, and their evaluation. Categorization of both label noise detection methods and handling techniques are provided.

Discussion
From a methodological perspective, we observe that the medical community has been up to date with the broader deep-learning community, given that most techniques have been evaluated on medical data. We recommend considering label noise as a standard element in medical research, even if it is not dedicated to handling noisy labels. Initial experiments can start with easy-to-implement methods, such as noise-robust loss functions, weighting, and curriculum learning.
Residents’ contribution to Asian citrus psyllid and citrus greening management in Florida residential habitats
Authors: Exilien Romain , Warner Laura A , Diepenbrock Lauren , Williams Danielle , Martini Xavier 
Published: May 2024

Abstract
The Asian citrus psyllid (ACP), Diaphorina citri Kuwayama (Hemiptera: Psyllidae), is the world’s most damaging citrus pest that transmits the bacteria that cause huanglongbing (HLB). In the fall of 2022, we investigated residents’ attitudes to ACP and HLB using online surveys over a 9-month period. The survey gathered information on citrus grown in backyards and on the detection of ACP and HLB, as well as the management strategies used (or ready to be implemented) to control them. We recorded 529 responses, 218 from areas where HLB is endemic (South and Central Florida) and 311 from areas where HLB and ACP are still rare (North Florida). In the HLB area, the number of citrus grown was significantly reduced, and residents were more active in controlling ACP and HLB. Most residents were able to identify an adult psyllid from a photo, but only 5% reported having seen it on their trees, in most cases in areas with high HLB incidence. The results also revealed residents’ interest in managing ACP and HLB, as well as their willingness to participate in the search for integrated solutions to tackle ACP and HLB in urban habitats. Interestingly, 76% of responders agreed to remove HLB trees from their backyard; this went up to 82% if compensation was offered. This study provides valuable insights for improving backyard Extension strategies tailored to the needs and willingness of residents to manage ACP and HLB.