bluuebunny/crossref_metadata_2025_split huggingface dataset:
An anthropometric study of sexual orientation and gender identity in Thailand
Authors: Skorska Malvina N. , Coome Lindsay A. , Peragine Diana E. , Aitken Madison , VanderLaan Doug P. 
Published: September 2021

AbstractThe biodevelopment of psychological sex differentiation is putatively reflected in several anthropometrics. We examined eight anthropometrics in 1404 Thai participants varying in sex, sexual orientation, and gender identity/expression: heterosexual men and women, gay men, lesbian women, bisexual women, sao praphet song (transgender birth-assigned males), toms (transgender birth-assigned females), and dees (birth-assigned females attracted to toms). Exploratory factor analyses indicated the biomarkers should be analyzed independently. Using regressions, in birth-assigned males, less male-typical second-to-fourth digit ratios in the left hand were associated with sexual orientation towards men regardless of gender identity/expression, whereas shorter height and long-bone growth in the arms and legs were more evident among sao praphet song—who are both sexually oriented towards men and markedly feminine. In birth-assigned females, there were no clear sexual orientation effects, but there were possible gender-related effects. Groups of individuals who tend to be more masculine (i.e., toms, lesbians) showed more male-typical patterns on weight and leg length than some groups of individuals who tend to be less masculine (i.e., heterosexual women, dees). Thus, it appears the various anthropometrics inform separate biodevelopmental processes that differentially relate to sexual orientation and gender identity/expression depending on the measure in question as well as birth-assigned sex.
Abundance of domestic mites in dwellings of children and adolescents with asthma in relation to environmental factors and allergy symptoms
Authors: Solarz Krzysztof , Obuchowicz Anna , Asman Marek , Nowak Wacław , Witecka Joanna , Pietrzak Jolanta , Marek Marta , Łonak Aldona , Stadnicka Izabela , Hajduga-Staśko Bernadeta 
Published: September 2021

AbstractExposure to house dust allergens, mainly from domestic mites, is an important cause of allergic reactions in sensitized asthmatic patients. A total of 63 dust samples were collected from 16 flats in Bytom (south Poland); in each flat a person (age 4–17 years) suffering from bronchial asthma lived with his/her family. Mite density was calculated as the number of specimens per g of dust. The results were compared with household features and the data were statistically analyzed. In total 566 mite specimens were isolated, including 526 members of the family Pyroglyphidae (93%). The dominant species were Dermatophagoides pteronyssinus (60% of the total count) and Dermatophagoides farinae (32%). Pyroglyphids were found in all mite positive samples (68%) of which 35% also contained non-pyroglyphids, including glycyphagids, cheyletids and gamasids. The results suggest associations between the density of some mite taxa (per g of dust) and the following indoor environmental factors: presence of pets, number of inhabitants, coal-stoves as a type of heating, cleaning frequency, higher relative humidity, presence of flowers and PVC windows. The severity of asthma seems to be associated with the numbers of D. farinae, total domestic mites and live mites per g of dust.
A novel ATPase gene, Ab-atps, plays an important role in the interaction of rice and white tip nematode, Aphelenchoides besseyi
Authors: Wang Hong-Le , Xu Chun-Ling , Chen Chun , Ding Shan-Wen , Li Jun-Yi , Yang Si-Hua , Xie Hui 
Published: September 2021

AbstractPlant kinases containing the LysM domain play important roles in pathogen recognition and self-defense reactions. And it could recognize microbe-associated molecules including chitin and other polypeptides. The white tip nematode Aphelenchoides besseyi is a migratory parasitic nematode that infects plant shoots. It is distributed over almost all rice-producing areas and causes up to 50% economic losses. The rice OsRLK3 gene was a defense-related LysM kinase gene of rice. This study showed that the rice LysM kinase OsRLK3 could be induced by flg22, jasmonic acid, salicylic acid, and chitin. An interaction gene, Ab-atps from A. besseyi, was identified by screening the interaction between the rice gene OsRLK3 and an A. besseyi cDNA library using yeast two-hybrid screening. Ab-atps is a novel ATP synthase gene with a full length of 1341 bp, coding for 183 amino acids. The mRNA of Ab-atps was located in the esophagus and reproductive system of A. besseyi. The expression of Ab-atps was assessed at different developmental stages of the nematode and found to be the highest in the juvenile, followed by the egg, female, and male. Reproduction was significantly decreased in nematodes treated with Ab-atps double-stranded RNA (dsRNA) (p < 0.05). Transient expression experiments showed that Ab-ATPS-GFP was distributed in the nucleus, cytoplasm, and cell membrane, and Ab-ATPS-GFP triggered plant cell death. OsRLK3 was expressed significantly higher at 0.5 day and 1 day (p < 0.05) in rice plants inoculated with nematodes treated with Ab-atps dsRNA and gfp dsRNA for 0.5–7 days, respectively. Further, OsRLK3 expression under Ab-atps dsRNA treatment was significantly lower than with gfp dsRNA treatment at 0.5 day (p < 0.05) and significantly higher than with gfp dsRNA treatment at 1 day (p < 0.05). These results suggest that rice OsRLK3 could interact with A. besseyi Ab-atps, which plays an important role in growth, reproduction, and infection of the nematode. Our findings provide a theoretical basis to further understand the parasitic strategy of A. besseyi and its interaction mechanism with host plants, suggesting new ideas and targets for controlling A. besseyi.
Toxicity of amantadine hydrochloride on cultured bovine cornea endothelial cells
Authors: Lee Po-Yen , Lai Yu-Hung , Liu Po-Len , Liu Ching-Chih , Su Chia-Cheng , Chiu Fang-Yen , Cheng Wei-Chung , Hsu Shiuh-Liang , Cheng Kai-Chun , Chiu Li-Yi , Kao Tzu-En , Lin Chia-Ching , Chang Yo-Chen , Wang Shu-Chi , Li Chia-Yang 
Published: September 2021

AbstractAmantadine hydrochloride (HCl) is commonly prescribed for treating influenza A virus infection and Parkinson’s disease. Recently, several studies have indicated that the use of amantadine HCl is associated with corneal edema; however, the cytotoxic effect of amantadine HCl has not been investigated. In the present study, the effects of amantadine HCl on cell growth, proliferation, and apoptosis in bovine cornea endothelial cells, and in vitro endothelial permeability were examined. Results showed that lower doses of amantadine HCl do not affect cell growth (≤ 20 μΜ), whereas higher doses of amantadine HCl inhibits cell growth (≥ 50 μΜ), induces apoptosis (2000 μΜ), increases sub-G1 phase growth arrest (2000 μΜ), causes DNA damage (≥ 1000 μΜ), and induces endothelial hyperpermeability (≥ 1000 μΜ) in bovine cornea endothelial cells; additionally, we also found that amantadine HCl attenuates the proliferation (≥ 200 μΜ) and arrests cell cycle at G1 phase (≥ 200 μΜ) in bovine cornea endothelial cells. In the present study, we measured the cytotoxic doses of amantadine HCl on cornea endothelial cells, which might be applied in evaluating the association of corneal edema.
Modelling COVID-19 severity in the Republic of Ireland using patient co-morbidities, socioeconomic profile and geographic location, February to November 2020
Authors: Boudou M. , ÓhAiseadha C. , Garvey P. , O’Dwyer J. , Hynds P. 
Published: September 2021

AbstractUnderstanding patient progression from symptomatic COVID-19 infection to a severe outcome represents an important tool for improved diagnoses, surveillance, and triage. A series of models have been developed and validated to elucidate hospitalization, admission to an intensive care unit (ICU) and mortality in patients from the Republic of Ireland. This retrospective cohort study of patients with laboratory-confirmed symptomatic COVID-19 infection included data extracted from national COVID-19 surveillance forms (i.e., age, gender, underlying health conditions, occupation) and geographically-referenced potential predictors (i.e., urban/rural classification, socio-economic profile). Generalised linear models and recursive partitioning and regression trees were used to elucidate COVID-19 progression. The incidence of symptomatic infection over the study-period was 0.96% (n = 47,265), of whom 3781 (8%) required hospitalisation, 615 (1.3%) were admitted to ICU and 1326 (2.8%) died. Models demonstrated an increasingly efficacious fit for predicting hospitalization [AUC 0.816 (95% CI 0.809, 0.822)], admission to ICU [AUC 0.885 (95% CI 0.88 0.89)] and death [AUC of 0.955 (95% CI 0.951 0.959)]. Severe obesity (BMI ≥ 40) was identified as a risk factor across all prognostic models; severely obese patients were substantially more likely to receive ICU treatment [OR 19.630] or die [OR 10.802]. Rural living was associated with an increased risk of hospitalization (OR 1.200 (95% CI 1.143–1.261)]. Urban living was associated with ICU admission [OR 1.533 (95% CI 1.606–1.682)]. Models provide approaches for predicting COVID-19 prognoses, allowing for evidence-based decision-making pertaining to targeted non-pharmaceutical interventions, risk-based vaccination priorities and improved patient triage.
Biochar as a low-cost, eco-friendly, and electrically conductive material for terahertz applications
Authors: Park Woongkyu , Kim Hyuntae , Park Hajung , Choi Soobong , Hong Sung Ju , Bahk Young-Mi 
Published: September 2021

AbstractWe investigate conducting characteristics of biochar derived from the pyrolysis of a paper at terahertz frequencies. Paper is annealed under temperatures ranging from 600 to 1000 °C to modify structural and electrical properties. We experimentally observe that the terahertz conductivity increases above 102 S/m as the annealing temperature increases up to 800 °C. From structural characterization using energy-dispersive X-ray spectroscopy, Fourier-transform infrared spectroscopy, Raman spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy, we confirm that more graphitic biochars are produced in high annealing temperature, in agreement with the improvement of terahertz conductivity. Our results show that biochar can be a highly promising candidate to be used in paper-based devices operating at terahertz frequencies.
Basic locomotor muscle synergies used in land walking are finely tuned during underwater walking
Authors: Yokoyama Hikaru , Kato Tatsuya , Kaneko Naotsugu , Kobayashi Hirofumi , Hoshino Motonori , Kokubun Takanori , Nakazawa Kimitaka 
Published: September 2021

AbstractUnderwater walking is one of the most common hydrotherapeutic exercises. Therefore, understanding muscular control during underwater walking is important for optimizing training regimens. The effects of the water environment on walking are mainly related to the hydrostatic and hydrodynamic theories of buoyancy and drag force. To date, muscular control during underwater walking has been investigated at the individual muscle level. However, it is recognized that the human nervous system modularly controls multiple muscles through muscle synergies, which are sets of muscles that work together. We found that the same set of muscle synergies was shared between the two walking tasks. However, some task-dependent modulation was found in the activation combination across muscles and temporal activation patterns of the muscle synergies. The results suggest that the human nervous system modulates activation of lower-limb muscles during water walking by finely tuning basic locomotor muscle synergies that are used during land walking to meet the biomechanical requirements for walking in the water environment.
Dynamical behavior of coal shearer under the influence of multiple factors in slant-cutting conditions
Authors: Yang Xinwei , Zou Xianfeng , Zhang Shuai , Chen Hongyue , Wei Yajing , Li Pengfei 
Published: September 2021

AbstractAiming at the problem of severe vibration and abnormal wear and tear of various components in coal shearer under slant-cutting conditions, a non-linear dynamics model with 13 degrees of freedom for a coal shearer under slant-cutting conditions is developed using vibration mechanics and multi-body dynamics theory, and the characteristics of the slide shoes-middle groove contact, the ranging arm-haulage unit connection with gaps and the guidance sliding boots-pin rail multi-surface contact with gaps are described based on three-dimensional fractal theory and Hertz contact theory. Based on Huco's law, the ranging arm and the hydraulic rod are assumed to be flexible beams, the rigidity characteristics of the ranging arm itself, the connection characteristics of the haulage unit and the fuselage are described, a drum correction load with a traction speed correction factor is proposed as the external excitation of the system, and the model is solved and analyzed. The research results show that the change of traction speed has a greater influence on the vibration swing angle and displacement of the front drum, front ranging arm and front walking unit, and the vibration swing angle and displacement of the three increase with the increase of traction speed, while the change of coalface hardness coefficient has less influence on the vibration displacement of the key components of the coal shearer. Under the working parameters of v = 3 m/min and f = 3, the swing angle and displacement of the front ranging arm and front drum fluctuate in the ranges of − 0.4–0.1 rad and – 15–15 mm respectively; the vibration acceleration is – 300–300 rad/s2 and – 200–200 mm/s2 respectively, the main vibration frequencies are 16.63 Hz and 12.14 Hz respectively, and finally the results are verified by experimental methods.
DNA methylation changes following narrative exposure therapy in a randomized controlled trial with female former child soldiers
Authors: Carleial Samuel , Nätt Daniel , Unternährer Eva , Elbert Thomas , Robjant Katy , Wilker Sarah , Vukojevic Vanja , Kolassa Iris-Tatjana , Zeller Anja C. , Koebach Anke 
Published: September 2021

AbstractThe aftermath of traumatization lives on in the neural and epigenetic traces creating a momentum of affliction in the psychological and social realm. Can psychotherapy reorganise these memories through changes in DNA methylation signatures? Using a randomised controlled parallel group design, we examined methylome-wide changes in saliva samples of 84 female former child soldiers from Eastern DR Congo before and six months after Narrative Exposure Therapy. Treatment predicted differentially methylated positions (DMPs) related toALCAM,RIPOR2,AFAP1andMOCOS. In addition, treatment associations overlapped at gene level with baseline clinical and social outcomes. Treatment related DMPs are involved in memory formation—the key agent in trauma focused treatments—and enriched for molecular pathways commonly affected by trauma related disorders. Results were partially replicated in an independent sample of 53 female former child soldiers from Northern Uganda. Our results suggest a molecular impact of psychological treatment in women with war-related childhood trauma.Trial registration: Addressing Heightened Levels of Aggression in Traumatized Offenders With Psychotherapeutic Means (ClinicalTrials.gov Identifier: NCT02992561, 14/12/2016).
A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty
Authors: Hayashi Takahiko , Masumoto Hiroki , Tabuchi Hitoshi , Ishitobi Naofumi , Tanabe Mao , Grün Michael , Bachmann Björn , Cursiefen Claus , Siebelmann Sebastian 
Published: September 2021

AbstractThe efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical records of patients undergoing DALK at the University of Cologne, Germany between March 2013 and July 2019 were retrospectively analyzed. Patients were divided into two groups: (1) SBB or (2) failed big-bubble (FBB). Preoperative images of anterior segment optical coherence tomography and corneal biometric values (corneal thickness, corneal curvature, and densitometry) were evaluated. A deep neural network model, Visual Geometry Group-16, was selected to test the validation data, evaluate the model, create a heat map image, and calculate the area under the curve (AUC). This pilot study included 46 patients overall (11 women, 35 men). SBBs were more common in keratoconus eyes (KC eyes) than in corneal opacifications of other etiologies (non KC eyes) (p = 0.006). The AUC was 0.746 (95% confidence interval [CI] 0.603–0.889). The determination success rate was 78.3% (18/23 eyes) (95% CI 56.3–92.5%) for SBB and 69.6% (16/23 eyes) (95% CI 47.1–86.8%) for FBB. This automated system demonstrates the potential of SBB prediction in DALK. Although KC eyes had a higher SBB rate, no other specific findings were found in the corneal biometric data.
High light and temperature reduce photosynthetic efficiency through different mechanisms in the C4 model Setaria viridis
Authors: Anderson Cheyenne M. , Mattoon Erin M. , Zhang Ningning , Becker Eric , McHargue William , Yang Jiani , Patel Dhruv , Dautermann Oliver , McAdam Scott A. M. , Tarin Tonantzin , Pathak Sunita , Avenson Tom J. , Berry Jeffrey , Braud Maxwell , Niyogi Krishna K. , Wilson Margaret , Nusinow Dmitri A. , Vargas Rodrigo , Czymmek Kirk J. , Eveland Andrea L. , Zhang Ru 
Published: September 2021

AbstractC4 plants frequently experience high light and high temperature conditions in the field, which reduce growth and yield. However, the mechanisms underlying these stress responses in C4 plants have been under-explored, especially the coordination between mesophyll (M) and bundle sheath (BS) cells. We investigated how the C4 model plant Setaria viridis responded to a four-hour high light or high temperature treatment at photosynthetic, transcriptomic, and ultrastructural levels. Although we observed a comparable reduction of photosynthetic efficiency in high light or high temperature treated leaves, detailed analysis of multi-level responses revealed important differences in key pathways and M/BS specificity responding to high light and high temperature. We provide a systematic analysis of high light and high temperature responses in S. viridis, reveal different acclimation strategies to these two stresses in C4 plants, discover unique light/temperature responses in C4 plants in comparison to C3 plants, and identify potential targets to improve abiotic stress tolerance in C4 crops.
Distributed control of thermostatically controlled load aggregators in multi‐area power systems
Authors: Zeng Kaiwen , Wang Haizhu , Liu Jianing , Lin Bin , Du Bin , You Yi 
Published: September 2021

AbstractIn modern power systems, the high penetration of renewable energy challenges system frequency regulation and stability. In such conditions, the demand‐side loads can be aggregated and applied for power system frequency regulation. In this study, a dual‐level distributed control framework is proposed for thermostatically controlled load (TCL) aggregators in multi‐area load frequency control. In the higher control level, the leader of TCL aggregators in each control area is controlled by local and neighbouring area control errors. In the lower control level, multiple TCL aggregators are coupled via a leader‐follower consensus control protocol to track the power reference from the area leader. As a result, the dual‐level distributed controlled TCL aggregators can operate together with synchronous generators for frequency regulation in multi‐area power systems. The proposed method is validated in a three‐area power system under various cyber‐physical conditions, including contingency and normal operation conditions, as well as communication failure and delay conditions.
Hyperspectral image classification with deep 3D capsule network and Markov random field
Authors: Tan Xiong , Xue Zhixiang , Yu Xuchu , Sun Yifan , Gao Kuiliang 
Published: September 2021

AbstractTo address the existing problems of capsule networks in deep feature extraction and spatial‐spectral feature fusion of hyperspectral images, this paper proposes a hyperspectral image classification method that combines a deep residual 3D capsule network and Markov random field. Based on this method, the deep spatial‐spectral features of hyperspectral images are extracted using the deep residual 3D convolutional structure, the vector capsules of the features are obtained by the initial capsule layer and mapped into probability capsules via the 3D dynamic routing mechanism to construct the classification probability map, and the spatial structure of the classification results is regularised by the Markov random field to further improve the classification accuracy and performance of the images. Two sets of benchmark hyperspectral images, namely Indian Pines and Pavia University data sets, were used to conduct comparative experiments and ablation study. The experimental results showed that, compared with the conventional convolutional neural network and existing capsule network models, the proposed method not only improves the classification accuracy of the images but also partly eliminates the category noise and affords a more regular classification probability map.
Algorithm combining virtual chromoendoscopy features for colorectal polyp classification
Authors: Schreuder Ramon-Michel , van der Zander Qurine E.W. , Fonollà Roger , Gilissen Lennard P.L. , Stronkhorst Arnold , Klerkx Birgitt , de With Peter H.N. , Masclee Ad M. , van der Sommen Fons , Schoon Erik J. 
Published: September 2021

Abstract
Background and study aims Colonoscopy is considered the gold standard for decreasing colorectal cancer incidence and mortality. Optical diagnosis of colorectal polyps (CRPs) is an ongoing challenge in clinical colonoscopy and its accuracy among endoscopists varies widely. Computer-aided diagnosis (CAD) for CRP characterization may help to improve this accuracy. In this study, we investigated the diagnostic accuracy of a novel algorithm for polyp malignancy classification by exploiting the complementary information revealed by three specific modalities.
Methods We developed a CAD algorithm for CRP characterization based on high-definition, non-magnified white light (HDWL), Blue light imaging (BLI) and linked color imaging (LCI) still images from routine exams. All CRPs were collected prospectively and classified into benign or premalignant using histopathology as gold standard. Images and data were used to train the CAD algorithm using triplet network architecture. Our training dataset was validated using a threefold cross validation.
Results In total 609 colonoscopy images of 203 CRPs of 154 consecutive patients were collected. A total of 174 CRPs were found to be premalignant and 29 were benign. Combining the triplet network features with all three image enhancement modalities resulted in an accuracy of 90.6 %, 89.7 % sensitivity, 96.6 % specificity, a positive predictive value of 99.4 %, and a negative predictive value of 60.9 % for CRP malignancy classification. The classification time for our CAD algorithm was approximately 90 ms per image.
Conclusions Our novel approach and algorithm for CRP classification differentiates accurately between benign and premalignant polyps in non-magnified endoscopic images. This is the first algorithm combining three optical modalities (HDWL/BLI/LCI) exploiting the triplet network approach.