bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas
Authors: Li Chungan , Yu Zhu , Dai Huabing , Zhou Xiangbei , Zhou Mei 
Published: October 2023

Abstract
Key message
Sample size (number of plots) may significantly affect the accuracy of forest attribute estimations using airborne LiDAR data in large-scale subtropical areas. In general, the accuracy of all models improves with increasing sample size. However, the improvement in estimation accuracy varies across forest attributes and forest types. Overall, a larger sample size is required to estimate the stand volume (VOL), while a smaller sample size is required to estimate the mean diameter at breast height (DBH). Broad-leaved forests require a smaller sample size than Chinese fir forests.

Context
Sample size is an essential factor affecting the cost of LiDAR-assisted forest resource inventory. Therefore, investigating the minimum sample size required to achieve acceptable accuracy for airborne LiDAR-based forest attribute estimation can help improve cost efficiency and optimize technical schemes.

Aims
The aims were to assess the optimal sample size to estimate the VOL, basal area, mean height, and DBH in stands dominated by Cunninghamia lanceolate, Pinus massoniana, Eucalyptus spp., and other broad-leaved species in a large subtropical area using airborne LiDAR data.

Methods
Statistical analyses were performed on the differences in LiDAR metrics between different sample sizes and the total number of plots, as well as on the field-measured attributes. The relative root mean square error (rRMSE) and the determination coefficient (R2) of multiplicative power models with different sample sizes were compared. The logistic regression between the coefficient of variation of the rRMSE and the sample size was established, and the minimum sample size was determined using a threshold of less than 10% for the coefficient of variation.

Results
As the sample sizes increased, we found a decrease in the mean rRMSE and an increase in the mean R2, as well as a decrease in the standard deviation of the LiDAR metrics and field-measured attributes. Sample sizes for Chinese fir, pine, eucalyptus, and broad-leaved forests should be over 110, 80, 85, and 60, respectively, in a practical airborne LiDAR-based forest inventory.

Conclusion
The accuracy of all forest attribute estimations improved as the sample size increased across all forest types, which could be attributed to the decreasing variations of both LiDAR metrics and field-measured attributes.
Building an implementation framework to address unmet contraceptive care needs in a carceral setting: a systematic review
Authors: Routh Douglas , Simmons Rebecca , Sanders Jessica , Gero Alexandra , Tanner Hannah Aanderud , Turok David K. 
Published: October 2023

Abstract
Background
The provision of contraceptive care for incarcerated individuals has been largely inconsistent and has contributed to, at best, inadequate care, and at worst reproductive abuses, violence, and coercion. While previous research has identified strategies to remedy known issues, to date, very few recommendations have been implemented across the carceral system. To address this, we conducted a systematic review of policy and practice recommendations to improve contraceptive care to reproductive-aged, incarcerated individuals in the United States.

Methods
We conducted this systematic review utilizing the Joanna Briggs Institute methodology and framed it within the National Implementation Research Network’s (NIRN) Exploration stage. We searched PubMed, PSYCInfo, SCOPUS, ProQuest, Web of Science, MedLine, Social Science Citation Index and reference sections of included materials. Basic study information, explicitly stated policy and practice recommendations, and discussions and conclusions that subtly provide recommendations were extracted in full text. We utilized a thematic analysis approach to analyze the extracted text.

Results
A total of 45 materials met the inclusion criteria. Seven overarching themes were identified: 1) policy changes needed to implement care; 2) need for contraceptive care in carceral systems; 3) justice agency barriers regarding contraceptive care provision; 4) policy barriers to contraceptive access; 5) funding strategies to improve care; 6) patient preferences for contraceptive care delivery; and 7) healthcare provider knowledge regarding contraceptive care. The seven themes identified shed light on the need for, gaps, barriers, and facilitators of current contraceptive care provision to incarcerated individuals.

Conclusion
This systematic review accomplished two goals of NIRN’s Exploration stage. First, the compiled evidence identified a clear need for change regarding policies and practices pertaining to contraceptive care provision to incarcerated individuals in the United States. Second, our findings identified several evidence-based solutions supported both by research and professional healthcare organizations to address the identified need for change. This study provides an initial blueprint for correctional agencies to implement the necessary changes for improving contraceptive care provision to incarcerated populations. The correctional system is in a unique position to deliver much-needed care, which would result in many potential benefits to the individuals, correctional system, and community at large.
MiR-151a: a robust endogenous control for normalizing small extracellular vesicle cargo in human cancer
Authors: Burdiel Miranda , Jiménez Julia , Rodríguez-Antolín Carlos , García-Guede Álvaro , Pernía Olga , Sastre-Perona Ana , Rosas-Alonso Rocío , Colmenarejo Julián , Rodríguez-Jiménez Carmen , Diestro María Dolores , Martínez-Marín Virginia , Higueras Oliver , Cruz Patricia , Losantos-García Itsaso , Peinado Héctor , Vera Olga , de Castro Javier , Ibáñez de Cáceres Inmaculada 
Published: October 2023

AbstractSmall extracellular vesicles (sEVs) in the blood of cancer patients contain higher amounts of tumor markers than those identified as free-circulating. miRNAs have significant biomedical relevance due to their high stability and feasible detection. However, there is no reliable endogenous control available to measure sEVs-miRNA content, impairing the acquisition of standardized consistent measurements in cancer liquid biopsy. In this study, we identified three miRNAs from a panel of nine potential normalizers that emerged from a comprehensive analysis comparing the sEV-miRNA profile of six lung and ovarian human cancer cell lines in the absence of or under different conditions. Their relevance as normalizers was tested in 26 additional human cancer cell lines from nine different tumor types undergoing chemotherapy or radiotherapy treatment. The validation cohorts were comprised of 242 prospective plasma and ascitic fluid samples from three different human tumor types. Variability and normalization properties were tested in comparison to miR-16, the most used control to normalize free-circulating miRNAs in plasma. Our results indicate that miR-151a is consistently represented in small extracellular vesicles with minimal variability compared to miR-16, providing a novel normalizer to measure small extracellular vesicle miRNA content that will benefit liquid biopsy in cancer patients.
Modelling TDP-43 proteinopathy in Drosophila uncovers shared and neuron-specific targets across ALS and FTD relevant circuits
Authors: Godfrey R. Keating , Alsop Eric , Bjork Reed T. , Chauhan Brijesh S. , Ruvalcaba Hillary C. , Antone Jerry , Gittings Lauren M. , Michael Allison F. , Williams Christi , Hala’ufia Grace , Blythe Alexander D. , Hall Megan , Sattler Rita , Van Keuren-Jensen Kendall , Zarnescu Daniela C. 
Published: October 2023

AbstractAmyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) comprise a spectrum of neurodegenerative diseases linked to TDP-43 proteinopathy, which at the cellular level, is characterized by loss of nuclear TDP-43 and accumulation of cytoplasmic TDP-43 inclusions that ultimately cause RNA processing defects including dysregulation of splicing, mRNA transport and translation. Complementing our previous work in motor neurons, here we report a novel model of TDP-43 proteinopathy based on overexpression of TDP-43 in a subset ofDrosophilaKenyon cells of the mushroom body (MB), a circuit with structural characteristics reminiscent of vertebrate cortical networks. This model recapitulates several aspects of dementia-relevant pathological features including age-dependent neuronal loss, nuclear depletion and cytoplasmic accumulation of TDP-43, and behavioral deficits in working memory and sleep that occur prior to axonal degeneration. RNA immunoprecipitations identify several candidate mRNA targets of TDP-43 in MBs, some of which are unique to the MB circuit and others that are shared with motor neurons. Among the latter is the glypican Dally-like-protein (Dlp), which exhibits significant TDP-43 associated reduction in expression during aging. Using genetic interactions we show that overexpression of Dlp in MBs mitigates TDP-43 dependent working memory deficits, conistent with Dlp acting as a mediator of TDP-43 toxicity. Substantiating our findings in the fly model, we find that the expression ofGPC6mRNA, a human ortholog ofdlp,is specifically altered in neurons exhibiting the molecular signature of TDP-43 pathology in FTD patient brains. These findings suggest that circuit-specificDrosophilamodels provide a platform for uncovering shared or disease-specific molecular mechanisms and vulnerabilities across the spectrum of TDP-43 proteinopathies.
The landslide source of the eastern Mediterranean tsunami on 6 February 2023 following the Mw 7.8 Kahramanmaraş (Türkiye) inland earthquake
Authors: Heidarzadeh Mohammad , Gusman Aditya Riadi , Mulia Iyan E. 
Published: October 2023

AbstractThis paper presents the first example of how to systematically identify the submarine landslide source of a tsunami using an innovative hybrid approach. This ground-breaking method is developed to resolve the puzzle around the source mechanism of the mysterious tsunami observed on 6th February 2023 in the Eastern Mediterranean Sea. The tsunami followed the two inland Mw 7.8 and Mw 7.5 Türkiye–Syria earthquakes, which occurred consequently with a 9 h interval on this day. The first earthquake (Mw 7.8) had an epicentral distance of 90 km from the nearest coast, which is closer than the second one (Mw 7.5) to the coast and yet its crustal deformation was almost entirely limited to inland. Therefore, the co-seismic surface displacement generated by the earthquake was ruled out as the source of the tsunami, confirmed by numerical modelling. Here, we hypothesized that the tsunami was most likely generated by a submarine landslide triggered by the earthquake. Analysis of tide gauge observations revealed that the waves arrived from 27 min to 48 min after the first earthquake (Mw 7.8) at different coastal locations, implying that the potential submarine landslide was triggered by the first earthquake (Mw 7.8). Backward tsunami travel time mapping using tide gauge observations guided us to constrain the area of the potential landslide. We approximated the dimensions of the landslide using spectral analysis of the tsunami observations. Consequently, an iterative trial-and-error approach was employed to confirm the landslide source of the tsunami by defining various informed alternative landslide scenarios and applying numerical modeling. Modelling showed that a submarine landslide can reproduce the tsunami observations reasonably well. It is located on a steep slope of the seafloor approximately 50 km from Arsuz. The submarine landslide is estimated to have caused a seafloor deformation measuring approximately 16 km in length and 4.0 km in width.
Integrating artificial intelligence into science lessons: teachers’ experiences and views
Authors: Park Joonhyeong , Teo Tang Wee , Teo Arnold , Chang Jina , Huang Jun Song , Koo Sengmeng 
Published: October 2023

Abstract
Background
In the midst of digital transformation, schools are transforming their classrooms as they prepare students for a world increasingly automated by new technologies, including artificial intelligence (AI). During curricular implementation, it has not made sense to teachers to teach AI as a stand-alone subject as it is not a traditional discipline in schools. As such, subject matter teachers may need to take on the responsibility of integrating AI content into discipline-based lessons to help students make connections and see its relevance rather than present AI as separate content. This paper reports on a study that piloted a new lesson package in science classrooms to introduce students to the idea of AI. Specifically, the AI-integrated science lesson package, designed by the research team, provided an extended activity that used the same context as an existing lesson activity. Three science teachers from different schools piloted the lesson package with small groups of students and provided feedback on the materials and implementation.

Findings
The findings revealed the teachers’ perceptions of integrating AI into science lessons in terms of the connection between AI and science, challenges when implementing the AI lesson package and recommendations on improvements. First, the teachers perceived that AI and science have similarities in developing accurate models with quality data and using simplified reasoning, while they thought that AI and science play complementary roles when solving scientific problems. Second, the teachers thought that the biggest challenge in implementing the lesson package was a lack of confidence in content mastery, while the package would be challenging to get buy-in from teachers regarding curriculum adaptation and targeting the appropriate audience. Considering these challenges, they recommended that comprehensive AI resources be provided to teachers, while this package can be employed for science enrichment programs after-school.

Conclusions
The study has implications for curriculum writers who design lesson packages that introduce AI in science classrooms and for science teachers who wish to contribute to the development of AI literacy for teachers and the extension of the range of school science and STEM to students.
Optimization of Q.Clear reconstruction for dynamic 18F PET imaging
Authors: Lysvik Elisabeth Kirkeby , Mikalsen Lars Tore Gyland , Rootwelt-Revheim Mona-Elisabeth , Emblem Kyrre Eeg , Hjørnevik Trine 
Published: October 2023

Abstract
Background
Q.Clear, a Bayesian penalized likelihood reconstruction algorithm, has shown high potential in improving quantitation accuracy in PET systems. The Q.Clear algorithm controls noise during the iterative reconstruction through a β penalization factor. This study aimed to determine the optimal β-factor for accurate quantitation of dynamic PET scans.

Methods
A Flangeless Esser PET Phantom with eight hollow spheres (4–25 mm) was scanned on a GE Discovery MI PET/CT system. Data were reconstructed into five sets of variable acquisition times using Q.Clear with 18 different β-factors ranging from 100 to 3500. The recovery coefficient (RC), coefficient of variation (CVRC) and root-mean-square error (RMSERC) were evaluated for the phantom data. Two male patients with recurrent glioblastoma were scanned on the same scanner using 18F-PSMA-1007. Using an irreversible two-tissue compartment model, the area under curve (AUC) and the net influx rate Ki were calculated to assess the impact of different β-factors on the pharmacokinetic analysis of clinical PET brain data.

Results
In general, RC and CVRC decreased with increasing β-factor in the phantom data. For small spheres (< 10 mm), and in particular for short acquisition times, low β-factors resulted in high variability and an overestimation of measured activity. Increasing the β-factor improves the variability, however at a cost of underestimating the measured activity. For the clinical data, AUC decreased and Ki increased with increased β-factor; a change in β-factor from 300 to 1000 resulted in a 25.5% increase in the Ki.

Conclusion
In a complex dynamic dataset with variable acquisition times, the optimal β-factor provides a balance between accuracy and precision. Based on our results, we suggest a β-factor of 300–500 for quantitation of small structures with dynamic PET imaging, while large structures may benefit from higher β-factors.

Trial registration

Clinicaltrials.gov, NCT03951142. Registered 5 October 2019, https://clinicaltrials.gov/ct2/show/NCT03951142. EudraCT no 2018-003229-27. Registered 26 February 2019, https://www.clinicaltrialsregister.eu/ctr-search/trial/2018-003229-27/NO.
Ultra-low-dose CT for attenuation correction: dose savings and effect on PET quantification for protocols with and without tin filter
Authors: Bebbington Natalie Anne , Christensen Kenneth Boye , Østergård Lone Lange , Holdgaard Paw Christian 
Published: October 2023

Abstract
Background
Ultra-low-dose (ULD) computed tomography (CT) scans should be used when CT is performed only for attenuation correction (AC) of positron emission tomography (PET) data. A tin filter can be used in addition to the standard aluminium bowtie filter to reduce CT radiation dose to patients. The aim was to determine how low CT doses can be, when utilised for PET AC, with and without the tin filter, whilst providing adequate PET quantification.

Methods
A water-filled NEMA image quality phantom was imaged in three configurations with 18F-FDG: (1) water only (0HU); (2) with cylindrical insert containing homogenous mix of sand, flour and water (SFW, approximately 475HU); (3) with cylindrical insert containing sand (approximately 1100HU). Each underwent one-bed-position (26.3 cm) PET-CT comprising 1 PET and 13 CT acquisitions. CT acquisitions with tube current modulation were performed at 120 kV/50 mAs-ref (reference standard), 100 kV/7 mAs-ref (standard ULDCT for PET AC protocol), Sn140kV (mAs range 7–50-ref) and Sn100kV (mAs range 12–400-ref). PET data were reconstructed with μ-maps provided by each CT dataset, and PET activity concentration measured in each reconstruction. Differences in CT dose length product (DLP) and PET quantification were determined relative to the reference standard.

Results
At each tube voltage, changes in PET quantification were greater with increasing density and reducing mAs. Compared with the reference standard, differences in PET quantification for the standard ULDCT protocol for the three phantoms were ≤ 1.7%, with the water phantom providing a DLP of 7mGy.cm. With tin filter at Sn100kV, differences in PET quantification were negligible (≤ 1.2%) for all phantoms down to 50mAs-ref, proving a DLP of 2.8mGy.cm, at 60% dose reduction compared with standard ULDCT protocol. Below 50mAs-ref, differences in PET quantification were > 2% for at least one phantom (2.3% at 25mAs-ref in SFW; 6.4% at 12mAs-ref in sand). At Sn140kV/7mAs-ref, quantification differences were ≤ 0.6% in water, giving 3.8mGy.cm DLP, but increased to > 2% at bone-equivalent densities.

Conclusions
CT protocols for PET AC can provide ultra-low doses with adequate PET quantification. The tin filter can allow 60–87% lower dose than the standard ULDCT protocol for PET AC, depending on tissue density and accepted change in PET quantification.
Direct discharge from the intensive care unit improved patient flow in a resource-pressured health system
Authors: O’Riordan E. , Maher K. , O’Hagan Z. , Martin-Loeches I. 
Published: October 2023

AbstractCritical care practice is constantly evolving. Pressures for bed availability in publicly funded healthcare systems have led to an increase in patients delayed in their discharge from critical care to the wards. This has resulted in more patients discharged directly home (DDH) from the intensive care unit (ICU). However, few formal pathways for DDH exist. We have performed a retrospective audit of the patients discharged home from our unit in the largest tertiary referral hospital in the Republic of Ireland from 2017 to 2022 to investigate their characteristics and the safety of this practice, given the understandable patient safety concerns raised.Results In total, 84 patients have been DDH from our unit between 2017 and 2022 from a total of 4747 patients. The overall rate of DDH increased year on year, and the vast majority of these patients were initially admitted from the emergency department or following elective major surgery. Most patients had an APACHE score of less than 11 points, and the majority were admitted for less than 3 days, with single organ failure. There was a gender divide, as greater than 60% of the patients admitted were male, with a mean age of 44.Conclusion DDH has been an important tool in improving patient flow through the hospital, avoiding unnecessary de-escalation to the ward for a select group of critical care patients. The re-admission rate in the year post-ICU discharge was very low, showing that DDH has not adversely impacted patient safety.
A Novel Characteristic of a Water-soluble UV-B Absorber, 2-Phenylbenzimidazole-5-sulfonic Acid: Suppression of Riboflavin-sensitized Singlet Oxygen Generation
Authors: Hisanaga Soichiro , Miyazawa Kazuyuki , Yagi Mikio , Kikuchi Azusa 
Published: October 2023

Abstract
2-Phenylbenzimidazole-5-sulfonic acid (PBSA) is a water-soluble UV-B absorber used in cosmetic sunscreens. Riboflavin (RF) is a water-soluble vitamin B2. RF is an efficient singlet oxygen photosensitizer. The effects of PBSA on RF-photosensitized singlet oxygen generation have been studied through measurements of transient absorption and time-resolved near-IR phosphorescence in phosphate buffer (pH 7.4). PBSA suppresses the RF-photosensitized singlet oxygen generation. The observed suppression can be ascribed to the quenching of the lowest excited triplet state of RF by PBSA.
Skill improvement of tea bags processing from moringa, gotu kola (Centella asiatica L.), and cocoa leaves
Authors: Rahmadewi Yunda Maymanah , Efrianeta Meka , Pratiwi Andhan Dwi , Daniati Amita 
Published: October 2023

Agricultural’s potential sometimes have not maximally utilized because of several plants that have health effects such as moringa, pegagan/gotu kola, and cocoa. Communities in Padukuhan Gunungasem, Salaran, and Soka, Ngoro-oro, Patuk, Gunung Kidul still have limited knowledge and skills related to processing these plants. The purpose of this community service were to give counseling about food safety Good Manufacturing Practice (GMP), train the the making of tea bags healthy drinks,and train the packaging and labels of tea bags.
The method used was training and hands-on practice. The program implementation team consisted of UAD Food Service Industry UAD’s lecturer and Public Health students. The activity was held in one of the residents’ house or the village head’s house. The results of community service were the knowledge about food safety increased, skills in making Moringa, “pegagan”, cocoa leaf teabags and in packaging and making tea bag labels also increased.