bluuebunny/crossref_metadata_2025 huggingface dataset:
Wobbling motion for a triaxial rotor plus a single quasiparticle*
Authors: Li 李 Si-Hua 嗣华 , Dai 戴 Hua-Ming 华名 , Chen 陈 Qi-Bo 启博 , Zhou 周 Xian-Rong 先荣
Published: December 2023

Wobbling motion in a system comprising a triaxial rotor and a single quasiparticle is studied employing the particle-rotor model. The energy spectra, wobbling frequencies, electromagnetic transition probabilities, g-factors, angular momentum components, spin coherent state maps, and static quadrupole moments are investigated. These investigations were conducted with regard to the Fermi surface transitioning from the lowest

orbit to the highest one. As the Fermi surface increases, notable transformations occur in the wobbling mode. Initially, the mode exhibits a transverse revolution around the short axis of the nucleus. However, as the Fermi surface continues to increase, the mode gradually shifts to a longitudinal revolution around the intermediate axis. Eventually, it transitions to a transverse revolution around the long axis. Notably, the stability of the long axis transverse mode diminishes relative to its counterpart along the short axis as the total angular momentum increases at

.
Become resilient and sustainable in pro-environmental: the role of theory planned behavior on food waste and responsible consumption
Authors: Gunawan Arie Indra , Huda Miftakul , Monoarfa Hilda
Published: December 2023

The dilemma between fulfilling consumption and sustainability aspects is very pronounced in developing countries like Indonesia. The large population and busy activities of the population mean that people’s consumption patterns are high, which puts them at risk of producing amounts of waste that are not environmentally friendly. This study explores insights into responsible consumption that occurs among people in Indonesia. Data was collected from 196 Indonesian consumer households. A five-point Likert scale was used in the research questionnaire. PLS-SEM is used to measure the structural model. The results showed that subjective norms, perceived behavioral control, and responsible consumption play an important role in household food waste behavior.
Achieving ecocentric environmental ethics through progressive law enforcement against illegal tin mining in Belitung Island
Authors: Haryadi D , Ibrahim  , Darwance
Published: December 2023

Historical records indicate that tin mining exploitation on Belitung Island commenced three centuries ago and has continued to the present day. Consequently, the mined areas are undoubtedly extensive, as are the resulting environmental impacts. Ideally, mining permit holders should adhere to environmentally friendly mining practices, including fulfilling reclamation obligations. However, the proliferation of illegal mining practices has become a pressing issue. Illegal mining operations tend to relocate frequently, causing environmental damage without undertaking reclamation efforts. These illegal mining activities, driven by economic interests, clearly reflect an anthropocentric perspective that disregards environmental considerations. Therefore, strategic measures are necessary to realize ecocentric-based mining, where the interests of all natural entities reach an equilibrium point. Progressive law enforcement aligns with the ethics of ecocentrism. This qualitative study aims to identify and formulate progressive law enforcement measures to achieve environmentally friendly tin mining on Belitung Island.
Reviewing the role of green open spaces’ feature in promoting physical activity
Authors: Khansa S M , Dewi O C , Salsabila N D , Viriezky V
Published: December 2023

The obesity rate in Indonesia has grown throughout the years and is close to the global obesity proportion. Indonesians are physically inactive and has a high proportion of overweight and obese people. It implies that sedentary behavior has long-term consequences, both for individuals and cities. Sedentary behavior is caused by several factors, including a lack of space and facilities that encourage physical activity. As public facilities accessible to various groups of users, green open spaces have the potential to promote a healthy lifestyle by encouraging physical activity. In the context of improving public health, an excellent green open space feature should provide space that is accessible to all groups and communities. This study examines how green open spaces’ feature in the Jabodetabek area encourages physical activity among its users and the possibility of impacts derived from community formation in green open spaces. Through methods of literature study, questionnaire survey, and analysis, it is found that green open spaces stimulate its users to walk more through the provision of adequate jogging tracks with annual shady trees. This finding can be used to create guidelines for the design features of green open spaces that promote a healthy lifestyle for the community and help decrease the obesity rate in Indonesia.
Synthesis of reduced graphene oxide based on rubber seed shells and rice husks and their composites using the modified Hummer method
Authors: Anwar D I , Khumaisah L L , Nurbaeti N , Hariyadi E R
Published: December 2023

Reduced graphene oxide (RGO) is a thin material, has a hexagonal two- dimentional lattice and is considered as an interesting material for many applications. This study aims to synthesize reduced graphene oxide (RGO) from rubber seed shells (RSS) and rice husks (RH) and their composites using the modified hummer method. The modification was done by replaceNaNO3 with H3PO4 so can eliminated of NO2 and N2O4 as toxic gas. RSS contains 48.64% cellulose and 21.60% lignin. Meanwhile, 38% cellulose, 18% hemicellulose and 22% lignin were contained in RH. Synthesis was carried out with three steps, that are synthesis graphite with calcination at 550°C, then graphite oxide synthesis using H2SO4 and H3PO4 (9:1) and KMnO4 as oxidator, finally synthesis of reduced graphene oxide (RGO) using ultrasonicated and Zn as reductor. Analysis of RGO sample was carried out through measured from XRD and FTIR. Based on results XRD analysis was obtained 2θ of RGO RSS, RH, and RRC respectively 23.5, 21.2, and 24.3° with crystallinity by 17%, 13%, and 10%. those results showing amorphous material properties. FTIR characterization shows change structure on RGO after reduction with loss of O atoms as well loss OH groups present in RGO.
Molecular identification of Pelawan Merah (Tristaniopsis merguensis Griff.) as an endemic plant from Bangka Belitung Island using chloroplast DNA rbcL gene
Authors: Saputri R , Arsyadi A , Valen F S , Wahyuni W
Published: December 2023

The DNA barcoding from this molecular identification will be submitted to the NCBI Genbank database to become a standard in the identification of Tristaniopsis merguensis Griff based on the rbcL gene analysis. This research will be used as a crucial information to identify the endemic species of Tristaniopsis merguensis Griff. which has no conservation status yet on IUCN Red List & Threated species. The stages of this research were collecting samples of Pelawan Merah leaves from Hutan Pelawan Namang, Central Bangka Regency. Molecular analysis was carried out to obtain the marker gene of Tristaniopsis merguensis Griff. The DNA barcoding of Tristaniopsis merguensis Griff yielded a 516 base-pair long sequence of rbcL gene. This is the first report of Tristaniopsis merguensis Griff DNA barcoding in Indonesia and the barcode has registered in the GenBank. This DNA barcoding also aims to register the plant biodiversity in supporting of the Barcode of Life (CBOL). Based on the results of BLAST DNA analysis, Pelawan Merah from Bangka Island has similarity up to 100% with Tristaniopsis sp. found in Australia. Furthermore, the phylogenetic tree analysis reveals that the Tristaniopsis merguensis Griff. in this study was very closely related to other species of genus Tristaniopsis. This suggested that the rbcL gene analysis could identify Tristaniopsis at the genetic level or higher and other DNA barcoding region analysis as Internal Transcribed Spacer gene was necessary to complete the Pelawan Merah identification.
The Use of Sentinel-1 Radar Burn Difference for Forest Fire Area Identification in Palangka Raya, Indonesia
Authors: Pongdatu DE , Bioresita F
Published: December 2023

Forest fire is a frequent disaster which happened in Palangka Raya, Central Kalimantan, Indonesia each year. On 2019, various fire incidents were happened in the area, affected human’s health due to the fire smoke. Monitoring forest fire burn areas become important in order to observe affected areas and for mitigation purposes. Active remote sensing is suitable for forest fire identification, since it can penetrate through fog, clouds and smoke, hence the identification is better than passive remote sensing. Nowadays, with the availability of Sentinel-1 SAR free data with medium spatial resolution and high temporal resolution, monitoring large forest areas can be done easily. Burn areas can be extracted from Sentinel-1 with one of burn area index, namely Radar Burn Difference (RBD). In this study, burn areas identification was performed using RBD and threshold method. VV and VH polarization was used in identifying burn areas. Towards the best identification, some threshold values were tested. The results showed that threshold of µ-1σ for RBD VH had the highest overall accuracy about 88% in identifying burn areas, compared with reference data. It means the result is accurate enough in presenting burn areas. The results show a 15,935.197-hectare burned area from RBD VV and 15,679.835-hectare from RBD VH.
Estimation of Sea Surface Topography Using Jason-3 Satellite Altimetry Across the Eastern Indonesian Seas in a period of 2016 to 2021
Authors: Handoko Eko Yuli , Syariz Muhammad Aldila , Wenda Pratama Janur
Published: December 2023

The measurement of sea level height relative to a fixed reference point, such as the geoid or mean sea level, is known as sea surface topography. There are a number of factors that affect it, such as undulation, sea surface height, and tides. Measurement of sea surface topography is very important to understand ocean dynamics. One of the factors that influences the dynamics of the sea is the flow across Indonesia. The Indonesian traffic flow is the mass flow of water from the Pacific Ocean to the Indian Ocean. The difference in pressure between the two oceans is what causes the flow. The purpose of this study is to provide precise information about the sea surface topography in the East Indonesian Sea region during the 2016–2021 period, which is required for various marine applications. This approach involves processing and analysing Jason-3 altimetry satellite data, which provides precise sea level elevation measurements. The data is then used to determine the value of the sea surface topography, which shows the spatial and temporal variations in sea level height in the region. The average sea surface topography value every month from 2016 to 2021 ranges from 1.05m to 1.30m, with the highest value occurring in January 2021 at 1.2542m and the lowest value occurring in February 2016 at 1.0498m. For the accuracy of processing results, data for 2016–2021 is used as training data for model estimation and 2021 as test data. The root mean square error value is 0.0762m. Changes in sea surface topography values tend to increase every year, except for 2019. The decline that occurred in 2019 was caused by the ENSO phenomenon, which had an effect of -0.807 on sea surface topography with an inverse correlation. The findings of this study provide important details about sea surface topography in Eastern Indonesian waters, which can be applied to enhance our understanding of ocean dynamics.
Ionospheric Disturbance in Indonesia during Solar Flare using GPS Observations
Authors: Wulansari M , Maulida P , Muslim B
Published: December 2023

Electromagnetic waves transmitted by Global Navigation Satellite System (GNSS) are delayed when they travel through ionosphere layer due to free electrons in that layer. This delay could be used to deduce the variation in ionosphere, through the quantity known as Total Electron Content (TEC). The variability of the TEC in the ionosphere is affected by solar activity, such as solar flares. When a solar flare occurs, which is characterized by a strong and sudden increase in X-ray intensity, it will result in an increase in the electron density in the ionosphere, which is known as ionospheric disturbances. The increase of electron in the ionosphere increases the absorption of HF radio wave energy which can also turn off HF radio communications and cause significant errors in GNSS measurements. This study observed the SID above Indonesia which was disrupted by a solar flare that occurred on November 8, 2013, with class X1.1 angstroms. We use the Sumatran GPS Array (SuGAR) station with observation epochs every 30 seconds to estimate the TEC. The results showed that there was a sudden and simultaneous increase of all observed satellites namely GPS PRN 2, 4, 5, 9, 10, 17, 24, 26 and 28. SID occurred at 11:25:30 LT with a TEC amplitude of 1.05 – 3.94 TEC Unit. The detection time of the SID corresponds to the solar flare’s time observed from the GOES satellite with a delay of ~5 minutes.
Analysis of GNSS/IMU Sensor Fusion at UAV Quadrotor for Navigation
Authors: Cahyadi M N , Asfihani T , Suhandri H F , Navisa S C
Published: December 2023

To determine the position and navigation of an unknown environment, UAVs rely on sensors that provide information regarding position, speed, and orientation. There are sensors to provide direct navigation information such as the Global Navigation Satellite System (GNSS) by providing position data, or indirect sensors such as inertial sensors which provide speed and orientation data. An inertial sensor or commonly known as an Inertial Measurement Unit (IMU) is a combination of data acceleration (accelerometer) and angular velocity (gyroscope). By performing GNSS/IMU sensor fusion at UAV Quadrotor will increase the accuracy of aircraft localization based on its mathematical model involving the Kalman Filter approach. The main goal is to improve the coordinates obtained from Quadrotor UAV measurements, so that position of UAV Quadrotor aircraft is more accurate. Raw data of sensors GNSS/IMU is obtained during the flight of the aircraft. Visual comparison is used to determine whether the coordinate of the processed data has better accuracy than the raw data. The results showed that the Unscented Kalman Filter (UKF) simulation gave 3D position accuracy of 0.403 m to the measurement data. It can improve 23,47% fprm EKF Estimation which give 3D position accuracy of 16.598 m.
Current deformation in eastern part of Java derived from GPS observation 2017-2022
Authors: Maulida Putra , Rafiq Muhammad , Herawati Yola Asis , Kurniawan Akbar , Taufik Muhammad
Published: December 2023

The eastern part of Java Island is a prone area with high seismic potential. Geologically, the seismicity in this area is dominated by the subduction zone in southern Java, reverse faults structure in the north extending along east to west part of Java Islands, and normal faults in Pasuruan and Probolinggo. Several studies have indicated the potential of earthquakes associated with these sources. The geodetic technique is employed to monitor the deformation activity in the eastern part of Java to understand the characteristics. We utilized the continuous GPS stations operated by Geospatial Agency of Indonesia (BIG) and processed them using the GAMIT/GLOBK software. The processing incorporates the IGS stations surrounding Indonesia. We also used precise orbit and 2nd-order ionospheric correction. The processing produces the velocity in the ITRF2014 reference frame, which generally indicates the south-eastward velocity up to 29 mm/year, mainly influenced by block rotation. Velocity referenced to the Sunda block shows a distinguished pattern between southern Java and northern Java. The velocity pattern in the southern part of Java tends to move northwest with a velocity variation of 3-6 mm/year, while several north stations show a velocity pattern to the south with a variation of 2-4 mm/yr. The strain analysis shows different patterns between eastern and western regions and different characteristics of southern and northern regions. Mainly the deformation is dominated by the compression due to the subduction in the south. Meanwhile, near to the central Java the deformation patterns significantly change due to the appearance of the east-west extension. The result indicates the different distinguished characteristics of the deformation source in the eastern part of Java. This result will have implications for seismic hazard analysis as a contribution to disaster risk reduction in the future.
Evaluation Of Drainage Canal Mitigation In Banjarmasin City Post Hydrometeorological Disaster
Authors: Wibawanto Arif Eko , Suhel Henyningtyas
Published: December 2023

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

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

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

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

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

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

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

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

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 >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

Static 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

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

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

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 > 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 .
Method of combining multiple researches to determine non-infectious disease causes. Analysis of Depression and Celiac disease causes
Authors: Olan Alan
Published: December 2023

In this work an author is introducing a method which using a special algorithm based in math, allows to find disease causes for a specific non-infectious disease using results of multiple researches regarding risk factors of the disease. The method is based on a model presented in the article“A Connection between Factors Causing Diseases and Diseases Frequencies: Its Application in Finding Disease Causes” (Alan Olan,Journal of Clinical Trials, Vol.13, Issue 4.) which is confirmed by empirical data. As explained in the article mentioned above, a non-infectious disease is caused by a combination of few physiological parameters changes beyond 1-sigma interval which are existing at the same time. In the current article author explains a foundation of the method and then shows a practical way to use it. Using this method author further analyses Depression and Celiac diseases and as a result the work gives the causes of these diseases as a set ofphysiological parameters changes beyond 1-sigmainterval and also as a set of disease causing external factors which combination in an individualmust cause these diseases as per presented model. Using the method an author shows why Depression has 2 causes and Celiac Disease has 6 causes. Author’s introduction to the method will allow other medical researchers to use their own and existing researches to determine the causes of non-infectious diseases as per presented model, using a simple algorithm.
In vivoPSC differentiation as a platform to identify factors for improving the engraftability of cultured muscle stem cells
Authors: Xie Ning , Robinson Kathryn , Sundquist Timothy , Chan Sunny S. K.
Published: December 2023

Producing an adequate number of muscle stem cells (MuSCs) with robust regenerative potential is essential for the successful cell therapy of muscle-wasting disorders. We have recently developed a method to produce skeletal myogenic cells with exceptional engraftability and expandability through anin vivopluripotent stem cell (PSC) differentiation approach. We have subsequently mapped engraftment and gene expression and found that leukemia inhibitory factor receptor (Lifr) expression is positively correlated with engraftability. We therefore investigated the effect of LIF, the endogenous ligand of LIFR, on cultured MuSCs and examined their engraftment potential. We found that LIF-treated MuSCs exhibited elevated expression of PAX7, formed larger colonies from single cells, and favored the retention of PAX7+“reserve cells” upon myogenic differentiation. This suggested that LIF promoted the maintenance of cultured MuSCs at a stem cell stage. Moreover, LIF enhanced the engraftment capability of MuSCs that had been expandedin vitrofor 12 days by 5-fold and increased the number of MuSCs that repopulated the stem cell pool post-transplantation. These results thereby demonstrated the effectiveness of ourin vivoPSC differentiation platform to identify positive regulators of the engraftability of cultured MuSCs.
Entity recognition in the field of coal mine construction safety based on a pre-training language model
Authors: Xu Na , Liang Yanxiang , Guo Chaoran , Meng Bo , Zhou Xueqing , Hu Yuting , Zhang Bo
Published: December 2023

Purpose

Safety management plays an important part in coal mine construction. Due to complex data, the implementation of the construction safety knowledge scattered in standards poses a challenge. This paper aims to develop a knowledge extraction model to automatically and efficiently extract domain knowledge from unstructured texts.

Design/methodology/approach

Bidirectional encoder representations from transformers (BERT)-bidirectional long short-term memory (BiLSTM)-conditional random field (CRF) method based on a pre-training language model was applied to carry out knowledge entity recognition in the field of coal mine construction safety in this paper. Firstly, 80 safety standards for coal mine construction were collected, sorted out and marked as a descriptive corpus. Then, the BERT pre-training language model was used to obtain dynamic word vectors. Finally, the BiLSTM-CRF model concluded the entity’s optimal tag sequence.

Findings

Accordingly, 11,933 entities and 2,051 relationships in the standard specifications texts of this paper were identified and a language model suitable for coal mine construction safety management was proposed. The experiments showed that F1 values were all above 60% in nine types of entities such as security management. F1 value of this model was more than 60% for entity extraction. The model identified and extracted entities more accurately than conventional methods.

Originality/value

This work completed the domain knowledge query and built a Q&A platform via entities and relationships identified by the standard specifications suitable for coal mines. This paper proposed a systematic framework for texts in coal mine construction safety to improve efficiency and accuracy of domain-specific entity extraction. In addition, the pretraining language model was also introduced into the coal mine construction safety to realize dynamic entity recognition, which provides technical support and theoretical reference for the optimization of safety management platforms.
A TOPSIS-based framework for construction projects’ portfolio selection in the public sector
Authors: Nascimento Cláudia Rafaela Saraiva de Melo Simões , Almeida-Filho Adiel Teixeira de , Perez Palha Rachel
Published: December 2023

Purpose

This paper proposes selecting a construction project portfolio in the context of a public institution, which makes it possible to assess quantitative and qualitative criteria, thereby meeting the needs of the institution and the existing constraints.

Design/methodology/approach

The research design follows a framework using technique for order preference by similarity to ideal solution (TOPSIS) associated with integer linear programming.

Findings

The method involves a flow of assessments allowing criteria and weights to be elicited where outcomes are based on the experts' intra-criteria assessment of alternatives and decision-makers' inter-criteria assessment. This is of utmost interest to public organizations, where selections must result in benefits and lower costs, integrating the experts' technical and management perspectives.

Social implications

Public institutions are characterized by having limited financial and personnel resources for project development despite having a high demand for requests not associated with profits, making it essential to have a framework that enables using multiple criteria to better evaluate the benefits related to these decisions.

Originality/value

The main contributions of this article are: (1) the proposition of a framework for selecting construction project portfolios considering the organization's strategic needs; (2) identifying quantitative and qualitative assessment criteria for project selection; (3) integrating TOPSIS with an optimization process for selecting the construction project portfolios and (4) providing a structured decision process for selecting the portfolio that best represents the interests of the institution within its limited resources and personnel.