bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adult head and neck para-meningeal rhabdomyosarcoma: survival outcomes including salvage therapy
Authors: Tsuchihashi Kenji , Ito Mamoru , Arita Shuji , Kusaba Hitoshi , Kusano Wataru , Ueno Shohei , Taguchi Ryosuke , Yoshihiro Tomoyasu , Doi Yasuhiro , Ohmura Hirofumi , Kajitani Tatsuhiro , Nio Kenta , Nakano Michitaka , Oshima Kotoe , Tamura Shingo , Shirakawa Tsuyoshi , Shimokawa Hozumi , Uchino Keita , Hanamura Fumiyasu , Okumura Yuta , Komoda Masato , Isobe Taichi , Ariyama Hiroshi , Esaki Taito , Hashimoto Kazuki , Komune Noritaka , Matsuo Mioko , Matsumoto Keiji , Asai Kaori , Yoshitake Tadamasa , Yamamoto Hidetaka , Oda Yoshinao , Akashi Koichi , Baba Eishi 
Published: May 2023

Abstract
Rhabdomyosarcoma at para-meningeal regions of the head and neck has a poor prognosis in children. However, there is insufficient data on its outcomes in adults. We retrospectively examined total 10 patients with adult para-meningeal head and neck rhabdomyosarcoma treated at institutions belonging to the Kyushu Medical Oncology Group. Their characteristics were as follows: median age: 39 years (range 25–63 years), histology (alveolar/spindle): 9/1, and risk group (intermediate/high): 6/4. As a first-line therapy, VAC and ARST0431-based regimen was performed in 9 and 1 patients, respectively. During a first-line therapy, definitive radiation for all lesions were performed in five patients. The median progression-free survival was 11.4 months (95%CI: 5.2–25.8 months): 14.2 months (95%CI: 6.0 – not reached (NR)) for patients with stage I-III and 8.5 months (95%CI: 5.2–25.8 months) for patients with stage IV. Median overall-survival in all patients was 40.8 months (95%CI: 9.1 months–NR): 40.8 months (95%CI: 12.1 – NR) for patients with stage I-III and NR for patients with stage IV. Among seven patients who received salvage therapy, three are still alive, two of whom remain disease-free for over 3 years after completion of the last therapy. Although the prognosis of adult para-meningeal head and neck rhabdomyosarcoma is poor regarding to progression-free survival, some patients experience prolonged survival with salvage therapy.
Identification of Ectomycorrhizae in Dipterocarp Roots using DNA Metabarcoding in Tropical Urban Parks
Authors: Qiang Karl Png Jun , Choong Mei Fun Amy , Hu Donghui , Velautham Elango , Chae Eunyoung 
Published: May 2023

Abstract
Ectomycorrhizae (ECM) are important symbionts for multiple host plants. This study used morphology and DNA metabarcoding to identify ECM in Dipterocarpaceae, the dominant tree family of Southeast Asian forests. ECM fruiting bodies were first visually documented and identified across five urban parks in Singapore. Under host Dipterocarp Hopea odorata trees, 50 soil and root samples were collected. This was done together with another 50 root samples taken from ten species of host Dipterocarp seedlings at the Singapore Botanic Gardens’ Plant Resource Centre nursery. Eight genera of ECM were found in parks, one was identified to species level and three genera were only found from fungal Amplicon Sequence Variants (ASVs) using DNA metabarcoding. Although the nursery had more Dipterocarp species, only four genera of ECM were present. ECM communities differed slightly across host species, but not host genera. Tomentella spp. were the most common ECM found in parks and Dipterocarp seedlings.
Do cool shirts make a difference? The effects of upper body garments on health, fluid balance and performance during exercise in the heat
Authors: Engeroff Lena , Niederer Daniel , Vogt Lutz , Groneberg David , Engeroff Tobias 
Published: May 2023

Abstract
Objectives Due to climate change and major sport events in hot climate, temperature regulation during exercise is gaining relevance in professional and amateur sportsMethods 32 healthy participants (age 25 ± 4 years; 15 women) were assigned to one of three upper body garments (cotton-shirt, synthetic-fiber-shirt, cooling-vest with water-soaked inlays) and underwent a high intensity steady state ergometer exercise test (Temperature 30.5°C, frontal airflow 20km/h, relative air-humidity 43 ± 13%). Time to exhaustion, physiologic parameters (inner ear temperature, heart rate, relative oxygen uptake, body weight, garment weight) and subjective data (perceived exertion, thermal sensation, skin wettedness, clothing humidity, feeling scale) were assessed. Time to exhaustion was analyzed using a survival time analysis. Other outcomes were evaluated using Kruskal-Wallis Tests and 95%-confidence-intervals.Results Time to exhaustion was not different between groups. Cooling-vests were heavier and led to lower inner ear temperature, lower thermal- and higher clothing-humidity-sensation at the start of exercise. Physiologic and subjective parameters showed no group differences at exercise termination.Conclusions In a realistic setting including frontal airflow, synthetic and cotton-fiber shirts reach comparable effects on health and thermoregulation and are perceived as equally comfortable. Although inducing a small pre-exercise cooling effect, a water-soaked garment induces a weight penalty and creates a less comfortable situation.
Early growth, development and allometry of glyphosate-resistant and susceptible Amaranthus palmeri in response to current and elevated temperature and CO2
Authors: Rodrigues Juliana de Souza , Shilling Donn , Tishchenko Viktor , Bowen Samantha , Deng Shiyugan , Hall Daniel , Grey Timothy 
Published: May 2023

Abstract
This study aimed to evaluate the main factor(s) influencing Amaranthus palmeri (Palmer amaranth) biotypes growth, development, and what parameters were affected. Seeds of two glyphosate resistant (GA2017 and GA2020) and one susceptible (GA2005) Palmer amaranth biotypes were collected in Georgia, US during those growing seasons. These seed were used to grow plants and then evaluate response to scenarios of normal and elevated CO2 (410± 25 ppm and 750± 25 ppm) and temperature (23/33o.C and 26/36o.C). CO2 was the main factor affecting Palmer amaranth growth and differences among biotypes were also observed. Plants grown under elevated CO2 showed increases in height (cm), leaf area (cm2), stem dry matter (g) and plant volume (m3) while among susceptible and resistant biotypes, GA2005 had greater number of leaves, height (cm) and plant volume (m3) compared to glyphosate-resistant biotypes. Shoot to root ratio of the biotypes was isomeric, despite the allometry observed at 14 and 28 days after transplant (DAT) with respect to shoot development. The data indicate that Palmer amaranth may perceive and adapt its above-ground development in response to changes in the surrounding environment. These findings have important implications for the management of this weed species under climate change scenarios, since it is estimated that CO2 levels and temperatures will continue to rise throughout the century.
STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning Models
Authors: Růžička Vít , Mateo-Garcia Gonzalo , Gómez-Chova Luis , Vaughan Anna , Guanter Luis , Markham Andrew 
Published: May 2023

Abstract
Methane is the second most important greenhouse gas contributor to climate change; at the same time its reduction has been denoted as one of the fastest pathways to preventing temperature growth due to its short atmospheric lifetime. In particular, the mitigation of active point-sources associated to the fossil fuel industry has a strong and cost-effective mitigation potential. Detection of methane plumes in remote sensing data is possible, but the existing approaches exhibit high false positive rates and need manual intervention. Machine learning research in this area is limited due to the lack of large real-world annotated datasets. In this work, we are publicly releasing a machine learning ready dataset with manually refined annotation of methane plumes. We present labelled hyperspectral data from the AVIRIS-NG sensor and provide simulated multispectral WorldView-3 views of the same data to allow for model benchmarking across hyperspectral and multispectral sensors. We propose sensor agnostic machine learning architectures, using classical methane enhancement products as input features. Our HyperSTARCOP model outperforms strong matched filter baseline by over 25% in F1 score, while reducing its false positive rate per classified tile by over 41.83%. Additionally, we demonstrate zero-shot generalisation of our trained model on data from the EMIT hyperspectral instrument, despite the differences in the spectral and spatial resolution between the two sensors: in an annotated subset of EMIT images HyperSTARCOP achieves a 40% gain in F1 score over the baseline.
Influence of Rutin and its Combination with Metformin on Vascular Functions in Type 1 Diabetes
Authors: David Sheba R , Ni Penny Lai Pei , Chellian Jestin , Chakravarthi Srikumar , Rajabalaya Rajan 
Published: May 2023

Abstract
The present work examined the effect of oral administration of rutin and its combination with metformin, an antidiabetic drug on blood glucose, total cholesterol and triglycerides level and vascular function in streptozotocin (STZ) -induced diabetic rats. Male Sprague Dawley rats were rendered diabetic by a single intraperitoneal injection of STZ (50 mg/kg). Rutin and metformin were orally administered to diabetic rats at a dose of 100 mg/kg and 300 mg/kg body weight/day, respectively, for 4 weeks. Plasma analysis was conducted to determine changes in the plasma glucose and lipid levels. Rat aortic ring reactivity in response to endothelium-dependent (acetylcholine, ACh) and endothelium-independent (sodium nitroprusside, SNP) relaxants, and to the α1-adrenergic agonist phenylephrine (PE) were recorded. Histology of pancreas, liver and kidney were evaluated. In results, rutin and metformin alone and in combination has led to significant deterioration in blood glucose, cholesterol and triglyceride levels compared to diabetic and normal control. Diabetic aortic rings showed significantly greater contraction in response to PE, and less relaxation in response to ACh and SNP. Treatment with rutin and metformin in combination significantly reduced PE-induced contraction and increased ACh-induced and SNP-induced relaxation in diabetes when compared to rutin or metformin alone. Better histological improvements were recorded with combination treatment. In conclusion, rutin and metformin combination therapy has the most potentiality for restoring blood glucose and lipid level as well as vascular function.
Semi and Self-supervised Learning for Multi-label Classification for an Underwater Inspection Imagery Application
Authors: Pereira Amanda Lucas , Kohler Manoela , Castro Jose David Bermudez , Pacheco Marco Aurélio Cavalcanti 
Published: May 2023

Abstract
Underwater inspections are crucial for the preventive maintenance of offshore equipment from the oil and gas industry. However, the entire inspection process is costly, subjective and time-consuming. Traditionally, specialists assess equipment conditions through image and sensor data collected by underwater vehicles that travel to the seabed. Since this data can present a wide range of events, an inspection can yield a considerable amount of data. Despite being a tedious task, this data is undoubtedly domain-specific, requiring a group of highly specialized professionals to correctly scrutinize it. In this scenario, we propose using image classification models to help specialists find event(s) of interest. However, there are challenges inherent to the underwater inspection image classification problem, such as: high cost and scarcity of balanced labeled data, presence of label noise, high intra-class variance and characteristics of underwater images such as turbidity and uneven lightning conditions. Therefore, traditional supervised models might not fulfill the task. We undertake this problem with the methods DINO (Self-DIstillation with NO labels, self-supervised) and a new proposed method mPAWS, a multi-label version of PAWS (Predicting View Assignments With Support Samples, semi-supervised). The results obtained show the benefits of using such models for the application, achieving an improvement of $2.7\%$ when compared to current state-of-the-art supervised models. Such models can perform real-time inference, which can help accelerate the tasks of the underwater vehicle, making the work of the specialists more time-efficient.
Fungal keratitis caused by Colletotrichum truncatum: a rare case report
Authors: Liu Jianmei , Yang Baorui , Wu Guangjuan , Ye Mei , Li Yan , Dai Min , Wang Zi , Hu Ying , Deng Deyao , Yuan Wenli 
Published: May 2023

Abstract
Fungal keratitis, caused by pathogenic fungi, features slow progressions, a long course of the disease, and a high rate of causing blindness. More than 70 cases of fungal infections have been known to cause keratitis. We report a case of fungal keratitis caused by a rare species implicated, named Colletotrichum truncatum, which belongs to Colletotrichum spp. The patient had been treated with corneal ulcer debridement combined with antifungal agents. His condition improved and the prognosis was good.
Effect of Vehicle External Acceleration Signal Lights on Pedestrian-Vehicle Interaction
Authors: wenjun Pan , LI Feng , Xiang Jiali 
Published: May 2023

Abstract
The number of casualties resulting from collisions between pedestrians and motor vehicles continues to rise. A significant factor is the misunderstanding of vehicle behavior intentions by pedestrians. This is especially true with the continuous development of vehicle automation technology, which has reduced direct interaction between drivers and the outside world. Therefore, accurate communication of vehicle behavior intentions is becoming increasingly important. The purpose of this study is to investigate the impact of external vehicle acceleration signal lights on the interaction experience between pedestrians and vehicles. The differences between the use and nonuse of acceleration signal lights are compared through real-world scenario simulations and video simulations. The results show that acceleration signal lights help pedestrians understand vehicle behavior intentions more quickly and make safer crossing decisions as well as improving their perception of safety when crossing the street and their trust in vehicle behavior.
Ancient allopatry and ecological divergence act together to promote plant diversity in mountainous regions: evidence from comparative phylogeography of two genera in the Sino-Himalayan region
Authors: Peng Junchu , Ma Xiangguang , Sun Hang 
Published: May 2023

Abstract
Background: How geographical isolation and ecological divergence act together to promote plant diversity in mountainous regions remains largely unknown. In this study, we chose two small genera distributed in the Sino-Himalayan region, Megacodonand Beesia, which both exhibit a fragmented distribution pattern and are found across a wide range of altitudes. By summarizing their common patterns of speciation and/or divergence processes, we aim to understand how environmental changes accelerated lineage diversification in the Sino-Himalayan region through ancient allopatry and ecological divergence.
Results: Using ddRAD-seq, chloroplast genome sequences, and specific molecular markers, we studied the phylogenetic relationships, population structure, and historical biogeography of Beesia and Megacodon. Both genera began to diverge from the late Miocene onwards, with ancient allopatry at lower altitudes formed narrow-range species or relict populations. Mantel tests between genetic distance and climatic, elevational, or geographic distance revealed an isolation-by-distance pattern in Beesia and Megacodon stylophorus. Megacodon showed two clades occupying entirely different altitudinal ranges, whereas Beesia calthifoliaexhibited a genetic divergence pattern along an altitude gradient. To investigate adaptive divergence along an altitudinal gradient, we used morphological measurements and found different elevational groups in Beesia calthifolia had distinct leaf shapes.
Conclusions: The regional disjunctions of plant groups in the Sino-Himalayan region are drastic and closely related to several biogeographic boundaries. As a consequence of major geological and climate change, ecological divergence when different altitudes are colonized often happens simultaneously within plant groups. Although the relative contributions of geographical isolation and parapatric ecological divergence are different among different plant taxa, a combined effect of these two factors is a common phenomenon in the process of heterogenization of the Sino-Himalayan region.
Does the Severity of Untreated Dental Caries of Preschool Children Influence the Oral Health-Related Quality of Life?
Authors: Alanzi Abrar , Husain Fatemah , Husain Hissah , Hanif Asma , Baskaradoss Jagan 
Published: May 2023

Abstract
Aim To assess the impact of untreated dental caries and its severity on the oral health-related quality of life (OHRQoL) of Kuwaiti preschool children and their caregivers.Methods Participants were 4- and 5-year-old kindergarten children attending preselected public schools from one of the Governorates in Kuwait. Early childhood caries (ECC) was evaluated by clinical examinations and presented using decayed, missed, filled teeth/surface (dmft/dmfs). The clinical consequences of untreated dental caries were assessed using the pufa (pulp, ulcers, fistula, abscess) index for primary teeth. A structured questionnaire obtained demographic information of children and their caregivers. OHRQoL was assessed using the Arabic version of Early Childhood Oral Health Impact Scale (A-ECOHIS).Results Among the 334 participants, 171 were kindergarten level-1 (KG1), and 163 were level-2 (KG2). The overall prevalence of dental caries was 78.9% for KG1 children and 67.4% for KG2 children. Decayed teeth were the main component for both dmft (84%) and dmfs (68%). The total mean (SD) pufa score was 0.54 (1.5), and about 19.2% of participants had at least one tooth with pufa > 0. A total of 207 A-ECOHIS were completed. The family impact score was significantly higher for children with a dmft score of 1 or more (p = 0.023). Child impact section scores were significantly higher with the increasing degrees of untreated caries (dt) (p = 0.004). The child and family impact sections had significant scores for children with one or more PUFA or discolored anterior teeth (p < 0.001).Conclusion The severity of untreated dental caries and caries experience had a negative impact on the OHRQoL of Kuwaiti prescool children and their families. Using the pufa index had provided additional information about the effect of the caries severity on the OHRQoL than assessing the caries experience alone.
The effect of periodic resistance training on obese patients with type 2 diabetic nephropathy
Authors: Li Sumei , Yuan Shouping , Zhang Jintian , Xu Feipeng , Zhu Feng 
Published: May 2023

Abstract
Objective To observe the effect of intervention of periodic resistance training on obese patients with type 2 diabetic nephropathy.
Methods A total of 60 obese patients with type 2 diabetic nephropathy were randomized into resistance training group and aerobic exercise group (30 patients each group) for observing the changes of blood glucose, body weight, blood lipid, insulin resistance, serum creatinine, urinary microalbumin, urinary albumin excretion rate calculated by urinary creatinine, and glomerular filtration rate after 12 weeks of intervention, and relevant significance as well. The number of patients with hypoglycemia during the intervention was also recorded.
ResultsAfter 12 weeks of intervention, the weight, BMI, Waist, TG, TC, LDL, HDL, FBG, FINS, HbA1c and urinary albumin excretion rate were decreased and glomerular filtration rate was increased in both groups (P < 0.05), but the effect was more significant in the resistance training group.
Conclusion For obese patients with type 2 diabetic nephropathy, periodic resistance training can not only control their body weight, blood glucose and blood lipid, but also improve their urinary albumin excretion rate, glomerular filtration rate, and kidney damage.
Targeting MDM2-p53 Axis Through Drug Repurposing for Cancer Therapy: a Multidisciplinary Approach
Authors: GHAFOOR Naeem ABDUL , YILDIZ Aysegul 
Published: May 2023

AbstractPurposeThe purpose of this study was to identify potential small molecule inhibitors from a pool of FDA approved drugs that holds a potency against MDM2 and investigate their potential use as a modulator of MDM2-p53 axis to activate the p53 pathwayin vitrofor further use in drug repurposing studies.MethodsIn this study, machine learning-based approach to establish a quantitative structure-activity relationship model for predicting the potentialin vitroefficacy of small molecules as MDM2 inhibitors. The developed model was used to screen 5883 FDA-approved drugs, resulting in the identification of promising hits that were subsequently evaluated using molecular docking and molecular dynamics simulations. Promising hits were further investigated for their cytotoxicity and anti-proliferative propertiesin vitrovia MTT assay on glioblastoma and neuroblastoma cell lines. The expression ofBAX,CDKN1A, andDDB2, three p53-regulated genes were investigated in drug treated cell lines to confirm the activation of the p53 in the former cell lines.ResultsTwo antihistamine drugs, cetirizine (CZ) and rupatadine (RP), exhibited particularly favorable results in the initialin silicoanalyses. Both compounds exhibited significant antiproliferative effects on the former cell lines in a dose-dependent manner. Further investigation by quantitative reverse transcriptase PCR revealed CZ-treated but not RP-treated cell lines to upregulate the expression of p53-regulated genes.ConclusionThese findings suggest that CZ activates the p53 pathway by inhibiting MDM2. Our results provide compelling preclinical evidence supporting the potential use of CZ as a modulator of the MDM2-p53 axis and its plausible repurposing for cancer treatment.
Systematic review and meta-analysis of bird management techniques used in aerodromes
Authors: Portela Diana Guimarães , Weber Marcelo Moraes 
Published: May 2023

Abstract

Aeronautical accidents caused by collisions with birds have grown dramatically in recent decades. To minimize these effects, aerodrome managers may adopt several bird management techniques in order to keep them away from the airport environment. However, the efficiency of these techniques is still unclear. Therefore, here we evaluated the effectiveness of the main bird management techniques applied in aerodromes and compared their efficiency in decreasing bird abundance through a meta-analysis. Using a systematic review, we selected 24 papers on bird management in aerodromes (airfields and airports) and 15 papers provided 43 effect sizes needed for a meta-analysis. We found 13 techniques applied to bird management in aerodromes. The most applied technique was the control of grass height followed by falconry, dog patrol and use of effigies, respectively. At general, management techniques were not efficient in reducing bird abundance in aerodromes. However, individual bird management techniques were efficient. Falconry was the most effective method to disperse birds, followed by effigies and control of grass height, respectively. Techniques using noise and dog patrol were not effective. Despite that no technique alone is able to completely eliminate the risk of collisions between birds and aircrafts, their use associated with knowledge of habitat use for the target species may significantly reduce the risk of accidents. We also stress that it is necessary to design studies with robust methodology and clarity in the data to assist in decision making by aerodrome operators.