bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation Of Drainage Canal Mitigation In Banjarmasin City Post Hydrometeorological Disaster
Authors: Wibawanto Arif Eko , Suhel Henyningtyas 
Published: December 2023

Abstract
Data from the Environmental Health Risk Assessment (EHRA) study in 2012 stated that 52% of inundation in Banjarmasin City was caused by a problematic drainage system, the causes of which included siltation of the canals and the large number of weeds growing around the drainage canals, which would interfere with the function of the drainage canals. The data used are road canal cross-sectional dimensions, topographical data, canal alignment data, and land use data in North Banjarmasin Sub District. The calculation analysis method uses the Mononobe method. The results of these calculations will later be used for modeling which are indicated to exceed the water capacity, of course also by adding topographical parameters, land use, and canal alignment. Meanwhile, the planned discharge data from the results of the calculated rainfall and the measuring data of the channel cross-sectional dimensions are used for detailed modeling of the channel cross-section using HecRas. The condition of drainage channels is over-capacity, influenced by the presence of several channels covered with bushes and concrete, the amount of sediment that has not been dredged, the absence of an adequate catchment area system due to the characteristics of the soil in the form of peat soil.
Seismic Station Quality Monitoring and Evaluation System in Indonesia
Authors: Yuliatmoko R S , Gunawan M.T , Adi M , Wijaya A , Kambali R A P , Kurniawan T , Karnawati D K , Rohadi S 
Published: December 2023

Abstract
Good quality seismic data is needed to produce accurate earthquake information, namely seismic data with low background noise. A reliable monitoring and evaluation system are necessary to determine the quality of seismic stations in recording earthquake waves quickly and accurately. The Seismic Station Quality Monitoring and Evaluation System (SQES) was created to obtain information regarding the quality of seismic data and the quality of seismic station sites efficiently, quickly, and accurately by assessing parameters that affect seismic station quality. Seismic data quality assessment is based on background noise, data continuity, and signal anomalies. In contrast, seismic station site quality is measured based on geological conditions, site class, Power Spectral Density (PSD), and solar energy potential. This system works automatically, semi-realtime, daily, and monthly through a web service that functions continuously to be accessed anytime and anywhere. By obtaining seismic station quality information quickly and accurately, it can be used to monitor the accuracy of earthquake information and optimize seismic station maintenance. SQES has been used to evaluate the quality of 428 seismic stations in InaTEWS and can provide an overview of the quality of seismic stations in Indonesia.
Optimizing Surface Lithology Interpretation from Global Gravity Model and Landsat 8 Satellite Imagery in Semeru Mountain, Indonesia
Authors: Utama W , Putra D P N , Garini S A , Indriani R F 
Published: December 2023

Abstract
Conventional geological mapping has high data accuracy but has ineffectiveness such as incomplete sample sweep coverage due to extreme topography, densely populated environmental conditions, and weather constraints in the field. Remote sensing is an effective alternative geological mapping solution through a combination of satellite gravity methods and satellite imagery interpretation. This study aims to apply remote sensing to obtain a more detailed distribution of Mount Semeru lithological types from regional geological maps. Integration of rock density results from satellite gravity and lithology distribution from satellite imagery results in a more detailed lithological types interpretation with more specific physical conditions of rock density. Relatively low rock density values (1.9 - 2.3 gr/cm3) distribution is at the top and foot of the mountain in the outermost areas of the study area indicating relatively thick pyroclastic material with relatively deep bedrock depth, and unconsolidated material. On the side of the body of the mountain slope, there is a relatively high rock density value (2.9 - 3.5 gr/cm3) with an indication of the formation of pyroclastic material which is relatively thinner with the presence of shallower bedrock and has consolidated material. Geological mapping optimization forms the basis for further research related to the planning and development of natural resources, as well as a more effective and efficient advanced geological mapping automation process.
Soil Moisture Monitoring in Banjarnegara Regency Using SMAP imagery
Authors: Lestiana Hilda , Sukristiyanti Sukristiyanti , Saputra Okta Fajar , Ahmid Deden Agus , Iqbal Prahara , Risnandar Risnandar , Trilaksono Nurjanna Joko , Tohari Adrin , Saepuloh Asep 
Published: December 2023

Abstract
One of the places in Indonesia where landslides occur relatively frequently, is Banjarnegara Regency. Landslides with significant losses are observed in the study area almost annually. The preceding soil wetness is one of the elements that trigger landslides. In this study, we determine high and low soil wetness by classifying soil moisture and observing how it relates between soil moisture and the occurrence of landslides. Temporary and spatial processing was done on historical soil moisture imaging data from the Soil Moisture Active Passive (SMAP) satellite. The soil moisture variability in each of the 20 grids in the study area was compared. The highest and lowest soil moisture distribution is noticeable using the high-frequency approach. The findings demonstrate that the historical soil water content trend often follows a similar pattern. When divided by the number of samples (n), the Very High-Frequency method has a minimum value of 0 and a maximum value of 25.4mm. In this value range, there are five different classes of soil moisture: very low (0–5mm), low (5.1–10mm), medium (10.1–15mm), high (15.1–20mm), and very high (20.1-25.4mm). Despite not being the highest value from very high-frequency computations, the Banjarnegara Regency is in the high class, ranging from 16.12mm to 20.03mm. The elements causing the frequent landslides in Banjarnegara Regency are excessive and antecedent soil moisture. From 894 historical data records, entire grids with very-high and high classes cumulatively have between 51% and 85% incidences of soil moisture value.
Satellite-based Mangrove species abundance estimate using Machine Learning ensemble
Authors: Harsa Hastuadi , Winarso Gathot , Setiawan Kuncoro Teguh , Asriningrum Wikanti 
Published: December 2023

Abstract
The mangrove ecosystem is a vital feature in a coastal area, playing a critical role in carbon sequestration beneath the soil. Carbon preservation capacity varies among different species of mangrove. Thus, by quantifying the number of mangrove species in a given area, the volume of carbon sequestered can be estimated. Satellite imagery is highly effective for gathering such data across vast territories. In this study, we present an evaluation of mangrove species abundance across a large coastal area using Landsat satellite imagery. We employed machine learning algorithms to classify species based on spectral field observation data to achieve this. These algorithms were trained individually and ensembled to enhance prediction performance. There are 466 models generated in a two-hour training phase. After assessing these models, we identified that a stacked ensemble consisting of Deep Learning, two Distributed Random Forests, a Generalized Boosting Model, a Generalized Linear Model, and Extreme Gradient Boosting algorithms has the most superior predictive accuracy. The model achieved a mean accuracy value of 95% when tested on observation data. After applying the best model to the satellite data, our results indicate that Rhizophora Apiculata and Excoecaria Agallocha are the two most abundant mangrove species in the study area, covering 17.71% (19502.37 Ha) and 10.49% (11549.79 Ha), respectively.
Volume Backscattering Strength Estimation of Plankton from Water Column Multibeam Echosounder Data at Alor Strait, East Nusa Tenggara, Indonesia
Authors: Hariyanto I H , Putranto A W , Nurhidayat  , Purwanto B , Sobarudin D P , Saputro P D , Khair D R , Wibowo M A 
Published: December 2023

Abstract
Plankton support marine lives in significant roles as the main food source and ecological functions. However, marine information regarding plankton abundance is scanty and not distributed equally along Indonesian waters. In general, research in plankton abundance were conducted using conventional methods which unable to identify extensively. Hence, the main objective of this study was to estimate the qualitative volume backscattering strength (A

ν
) of plankton abundance in the Alor Strait by utilizing multibeam echosounder water column data. Data acquisition was obtained during Jala Citra 3 – “Flores” 2023 expedition held by the Indonesian Navy Hydrographic and Oceanographic Center. The instrument used in this study is the Kongsberg EM302 multibeam echosounder operating at a frequency of 30kHz which acquired both bathymetry and water column data simultaneously. The results show the average value of the volume backscattering strength that varies in the distribution of sample pings at the research site. The largest average Av value is -120.071 dB at sample point 287 which placed in shallow water by the nearest island. Additionally, the smallest value is -142.783 dB at sample point 272 with around 1800 meters depth. It expects the correlation between depth and volume backscatter strength value which can be further investigated.
Analysis of Flood-Vulnerable Areas Using Scoring and Weighting Methods Based on Geographic Information Systems (Case Study: Sidoarjo Regency)
Authors: Hariyanto Teguh , Nurwatik Nurwatik , Ramandany Vera 
Published: December 2023

Abstract
Indonesia is a country that is very vulnerable to natural disasters, one of which is flooding. A flood is an event or situation in which an area or land is submerged due to increased water volume. According to the National Disaster Management Agency (BNPB) records, throughout 2021, the most frequent disasters were floods, totaling 1,298 incidents. Floods also occurred in Sidoarjo Regency, specifically on Sunday, 17 January 2021, from afternoon to evening, with high rainfall intensity submerging two sub-districts. The highest flood in Tanggulangin District was in Kedungbanteng Village. As a result, as many as ± 408 Heads of Families (KK) were affected. Furthermore, in Porong District, the highest flood was in Pesawahan Village. As many as ± 490 Heads of Families (KK) were affected. Therefore, further analysis is required regarding the causes of the flood. In this research, an analysis was carried out regarding flood-prone areas in Sidoarjo Regency using a scoring and weighting method based on geographic information systems. This research used six parameters comprising land elevation, slope, rainfall, soil type, river flow density and land cover, which were then given scores and weights for each parameter based on the size of the parameter. After scoring each parameter, a weighted overlay is performed to obtain a flood-vulnerable map. The results of the flood vulnerability level in Sidoarjo Regency are divided into three vulnerability classes, namely low class with an area of 1100.84 Ha (1.71%), medium class with an area of 58143.33 Ha (90.52%), and high class with an area of 4987. 06 Ha (7.76%) of the total area of Sidoarjo Regency.
Maintenance of species boundaries amid hybridization in two island gingers with similar ecological niches
Authors: Chai Min-Wei , Lu Hsin-Pei , Tseng Yi-Ting , Liao Pei-Chun 
Published: December 2023

Abstract
Understanding species boundaries maintenance in the face of hybridization/introgression is an intriguing yet complex topic in evolutionary biology. The underlying mechanisms, however, remain elusive. To address this, we propose to investigate the role of climatic shifts in shaping genetic structure and influencing species boundaries. We combine multilocus genetic data and species distribution modeling to explore how past and current climatic shifts affect the genetic structure and demographic history of two Taiwan endemic gingers, Zingiber pleiostachyum and Z. shuanglongense. We identified a well-delimited genetic structure with evidence of admixture, indicating incomplete reproductive isolation between the two gingers. This is likely due to secondary contact and range overlap during the last glacial maximum, leading to sporadic instances of hybridization. Niche overlap tests based on climate and soil data indicate that these two gingers occupy similar but nonidentical ecological niches. Furthermore, we found that the considerable differences in their current geographic distribution and altitude preferences might have resulted from different seed dispersal capabilities and competitive exclusion due to their similar niche preferences. Our results reveal a model where altitudinal differentiation and dispersal strategy synergistically reinforce the species divergence, thereby illuminating the importance of these factors in shaping and maintaining the island’s biodiversity.
Association of Sleep Status With Cognitive Functions in Centenarians: Evidence From Hainan Centenarian Cohort
Authors: Yang Shanshan , Wang Shengshu , Liu Guangdong , Li Rongrong , Li Xuehang , Chen Shimin , Wang Jianhua , Zhao Yali , Liu Miao , He Yao 
Published: December 2023

Abstract

Objectives
This study aimed to analyze the association between sleep quality, sleep duration, and cognitive functions among centenarians.

Methods
The baseline data of the China Hainan Centenarians Cohort Study served as the foundation for this study. Logistic regression was utilized to demonstrate the relationship between sleep status and cognitive impairment. Moreover, a canonical correlation analysis was performed to analyze the correlation between these variables.

Results
A total of 994 centenarians were included. After adjustment, poor sleep quality centenarians had an odds ratio of 1.77 (95% confidence interval [CI]: 1.00–3.09) for cognitive impairment when compared to centenarians with normal sleep quality. Centenarians who slept for more than 9 hr had a stronger association with severe cognitive impairment, indicated by an odds ratio of 1.41 (95% CI: 1.02–1.96), compared to those who slept for 7–9 hr. Additionally, the canonical correlation analysis results revealed that the linear combination of sleep quality V1, primarily determined by sleep latency, daytime dysfunction, and subjective sleep quality, was associated with cognitive function; the linear combination of cognitive function W1, mainly determined by orientation, attention and calculation, and memory.

Discussion
There exists a correlation between poor sleep quality and cognitive impairment in centenarians, as well as a correlation between sleep duration &gt;9 hr at night and severe cognitive impairment. The primary cognitive domains associated with sleep quality are orientation, calculation, and memory. It is imperative to monitor and safeguard the cognitive functions linked to poor sleep quality in the older individuals, with attention to orientation, calculation, and memory.
Static magnetic fields reduce swimming activity of Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) larvae
Authors: Cresci Alessandro , Durif Caroline M F , Larsen Torkel , Bjelland Reidun , Skiftesvik Anne Berit , Browman Howard I 
Published: December 2023

AbstractStatic magnetic fields (B-fields) are introduced in marine ecosystems by anthropogenic sources such as subsea power cables. Larvae of the gadoids Atlantic haddock (Melanogrammus aeglefinus) and Atlantic cod (Gadus morhua) disperse over the continental shelf and may encounter B-fields, which could alter their behavior. We tested the behavior of 184 gadoid larvae while they were being exposed to a B-field (22–156 μT), which is in the intensity range of that produced by a high-voltage direct current cable, for a duration of 10 min in a raceway tank. We present a reanalysis of published data on 92 haddock larvae combined with newly collected data on 92 cod larvae tested under the same settings. Exposure did not affect the spatial distribution of the larvae. Both species displayed the same proportion of nonexploratory (78%) and exploratory (22%) individuals. Exposure significantly reduced the average swimming speed of the nonexploratory larvae by 32% and the average acceleration by 30%. Exploratory larvae were not affected. These results indicate that the swimming behavior of a high proportion of gadoid larvae would be reduced by weak static B-fields. Consequences of exposure on dispersal and survival at the population scale awaits further work using biophysical-coupled models.
Reprogramming of human γδ T cells by expression of an anti-CD19 TCR fusion construct (εTRuC) to enhance tumor killing
Authors: Juraske Claudia , Krissmer Sonia M , Teuber Evelyn S , Parigiani Maria A , Strietz Juliane , Wesch Daniela , Kabelitz Dieter , Minguet Susana , Schamel Wolfgang W 
Published: December 2023

Abstract
We have developed a new format of a chimeric antigen receptor for αβ T cells, in which the single-chain variable fragment recognizing the tumor antigen is directly fused to the T cell receptor, called T cell receptor fusion construct (TRuC). Here, we express an anti-CD19 εTRuC in primary γδ T cells that were expanded using zoledronate (Zol) or concanavalin A. We show that the resulting εTRuC γδ T cells were reprogrammed to better recognize CD19-positive B cell tumors and—in case of the Zol-expanded cells—a CD19-expressing colon adenocarcinoma-derived cell line in vitro. This resulted in enhanced tumor killing, upregulation of the activation marker CD25, and secretion of cytokines. We found that the transduction efficiency of the concanavalin A–expanded cells was better than the one of the Zol-expanded ones. Our in vitro cytotoxicity data suggest that the Vδ2 T cells were better killers than the Vδ1 T cells. Finally, addition of vitamin C promoted the recovery of larger γδ T cell numbers after lentiviral transduction, as used for the expression of the εTRuC. In conclusion, the generation and use of γδ εTRuC T cells might be a new approach for cancer immunotherapy.
Factors associated with cervical screening coverage: a longitudinal analysis of English general practices from 2013 to 2022
Authors: Urwin Sean , Gillibrand Stephanie , Davies Jennifer C , Crosbie Emma J 
Published: December 2023

Abstract

Background
Cervical cancer remains an important global public health concern. Understanding the factors contributing to a decline in screening uptake in high-income countries is fundamental to improving screening rates. We aimed to identify general practice and patient characteristics related to cervical screening coverage in England between 2013 and 2022.

Methods
We analyzed a panel of 59 271 General Practice (GP)-years from 7881 GP practices. We applied correlated random effects regression to examine the association between cervical screening uptake and a rich set of GP practice workforce, size, quality and patient characteristics.

Results
Our results show a decline in overall screening rates from 2013/14 to 2021/22 from 77% to 72%. We find GP workforce and list size characteristics are strongly related to screening rates. An increase in 1 FTE Nurse per 1000 patients is related to a 1.94 percentage point increase in cervical screening rates. GP practices located in more deprived areas have lower screening rates.

Conclusions
GP workforce and patient characteristics need to be considered by decision-makers to increase screening rates. The implementation of self-sampling screening methods could help address some of the current barriers to screening, including lack of healthcare staff and facilities.
SARS-CoV-2 reinfections in the pediatric cohort—a single-center experience
Authors: Arslan Asli , Sahbudak Bal Zumrut , Erci Ece , Yıldırım Arslan Sema , Bilen Nimet Melis , Avcu Gülhadiye , Çiçek Candan , Ozkinay Ferda , Kurugol Zafer 
Published: December 2023

Abstract

Background
This study focused on timelines of infection episodes and dominant variants and aims to determine disease severity and outcome of pediatric patients with reinfection.

Materials and Methods
This study retrospectively evaluated the medical records of the hospitalized patients and/or outpatients aged 0–18 with a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction between March 2020 and September 2022 at Ege University Children’s Hospital.

Results
Ninety-one pediatric patients reinfected with SARS-CoV-2 were included in the study. There was an underlying disease in 26.4% of the patients. The median time between the two infection episodes was 184 (90–662) days. There were 24 patients (26.3%) with the first infection in pre-Delta period; 17 (18.6%) of them were reinfected in Omicron BA.1 period, while 7 (7.6%) in Omicron BA.4/BA.5 period. Forty-five patients (49.4%) were infected initially in the Delta period; 35 patients (38.4%) were reinfected in the Omicron BA.1 period, while 10 patients (10.9%) were reinfected in the Omicron BA.4/BA.5 period. Twenty-two patients (24.1%) had the first infection in the Omicron BA.1 period and then reinfected in the Omicron BA.4/BA.5 period. Patients with reinfection more frequently displayed a symptom (84.6% vs. 94.5%, p = 0.03). The hospitalization rate significantly declined in reinfection (15.3% vs. 7.6%, p = 0.03). Severe disease, treatment needs and steroid use were decreased in reinfections without a significant difference (p &gt; 0.05). Intensive care unit admission was not altered.

Conclusion
This study revealed that reinfections frequently develop in previously healthy children but do not cause more severe outcomes. The risk of symptomatic reinfections is still high due to the effect of the Omicron variant.
A Putative Apoplastic Effector of Clavibacter capsici, ChpGCc as Hypersensitive Response and Virulence (Hrv) Protein in Plants
Authors: Oh Eom-Ji , Hwang In Sun , Kwon Choon-Tak , Oh Chang-Sik 
Published: December 2023

Clavibacter bacteria use secreted apoplastic effectors, such as putative serine proteases, for virulence in host plants and for hypersensitive response (HR) induction in nonhost plants. Previously, we have shown that Clavibacter capsici ChpG Cc is important for the necrosis development in pepper ( Capsicum annuum) leaves. Here, we determine the function of ChpG Cc, along with three paralogous proteins, for HR induction in the apoplastic space of a nonhost plant, Nicotiana tabacum. The full-length and signal peptide–deleted (ΔSP) mature forms of all proteins fused with the tobacco PR1b signal sequence were generated. The full-length and ΔSP forms of ChpG Cc and only the ΔSP forms of ChpE Cc and Pat-1 Cc, but none of the ChpC Cc, triggered HR. Based on the predicted protein structures, ChpG Cc carries amino acids for a catalytic triad and a disulfide bridge in positions like Pat-1Cm. Substituting these amino acids of ChpG Cc with alanine abolished or reduced HR-inducing activity. To determine whether these residues are important for necrosis development in pepper, alanine-substituted chpGCc genes were transformed into the C. capsici PF008ΔpCM1 strain, which lacks the intact chpGCc gene. The strain with any variants failed to restore the necrosis-causing ability. These results suggest that ChpG Cc has a dual function as a virulence factor in host plants and an HR elicitor in nonhost plants. Based on our findings and previous results, we propose Clavibacter apoplastic effectors, such as ChpG Cc, Pat-1 Cm, Chp-7 Cs, and ChpG Cm, as hypersensitive response and virulence (Hrv) proteins that display phenotypic similarities to the hypersensitive response and pathogenicity (Hrp) proteins found in gram-negative bacteria. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .