bluuebunny/crossref_metadata_2025_split huggingface dataset:
A population-scale temporal case–control evaluation of COVID-19 disease phenotype and related outcome rates in patients with cancer in England (UKCCP)
Authors: Starkey Thomas , Ionescu Maria C. , Tilby Michael , Little Martin , Burke Emma , Fittall Matthew W. , Khan Sam , Liu Justin K. H. , Platt James R. , Mew Rosie , Tripathy Arvind R. , Watts Isabella , Williams Sophie Therese , Appanna Nathan , Al-Hajji Youssra , Barnard Matthew , Benny Liza , Burnett Alexander , Bytyci Jola , Cattell Emma L. , Cheng Vinton , Clark James J. , Eastlake Leonie , Gerrand Kate , Ghafoor Qamar , Grumett Simon , Harper-Wynne Catherine , Kahn Rachel , Lee Alvin J. X. , Lomas Oliver , Lydon Anna , Mckenzie Hayley ,   NCRI Consumer Forum, Kinloch Emma , Lam Emily , Murphy Gillian , Rhodes Malcolm , Robinson Kate , Panneerselvam Hari , Pascoe Jennifer S. , Patel Grisma , Patel Vijay , Potter Vanessa A. , Randle Amelia , Rigg Anne S. , Robinson Tim M. , Roylance Rebecca , Roques Tom W. , Rozmanowski Stefan , Roux René L. , Shah Ketan , Sheehan Remarez , Sintler Martin , Swarup Sanskriti , Taylor Harriet , Tillett Tania , Tuthill Mark , Williams Sarah , Ying Yuxin , Beggs Andrew , Iveson Tim , Lee Siow Ming , Middleton Gary , Middleton Mark , Protheroe Andrew , Fowler Tom , Johnson Peter , Lee Lennard Y. W. 
Published: July 2023

AbstractPatients with cancer are at increased risk of hospitalisation and mortality following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, the SARS-CoV-2 phenotype evolution in patients with cancer since 2020 has not previously been described. We therefore evaluated SARS-CoV-2 on a UK populationscale from 01/11/2020-31/08/2022, assessing case-outcome rates of hospital assessment(s), intensive care admission and mortality. We observed that the SARS-CoV-2 disease phenotype has become less severe in patients with cancer and the non-cancer population. Case-hospitalisation rates for patients with cancer dropped from 30.58% in early 2021 to 7.45% in 2022 while case-mortality rates decreased from 20.53% to 3.25%. However, the risk of hospitalisation and mortality remains 2.10x and 2.54x higher in patients with cancer, respectively. Overall, the SARS-CoV-2 disease phenotype is less severe in 2022 compared to 2020 but patients with cancer remain at higher risk than the non-cancer population. Patients with cancer must therefore be empowered to live more normal lives, to see loved ones and families, while also being safeguarded with expanded measures to reduce the risk of transmission.
The neurocognitive impact of loneliness and social networks on social adaptation
Authors: Franco-O’Byrne Daniel , Sepúlveda Juan Pablo Morales , Gonzalez-Gomez Raúl , Ibáñez Agustín , Huepe-Artigas Daniela , Matus Cristián , Manen Ruth , Ayala Jaime , Fittipaldi Sol , Huepe David 
Published: July 2023

AbstractSocial adaptation arises from the interaction between the individual and the social environment. However, little empirical evidence exists regarding the relationship between social contact and social adaptation. We propose that loneliness and social networks are key factors explaining social adaptation. Sixty-four healthy subjects with no history of psychiatric conditions participated in this study. All participants completed self-report questionnaires about loneliness, social network, and social adaptation. On a separate day, subjects underwent a resting state fMRI recording session. A hierarchical regression model on self-report data revealed that loneliness and social network were negatively and positively associated with social adaptation. Functional connectivity (FC) analysis showed that loneliness was associated with decreased FC between the fronto-amygdalar and fronto-parietal regions. In contrast, the social network was positively associated with FC between the fronto-temporo-parietal network. Finally, an integrative path model examined the combined effects of behavioral and brain predictors of social adaptation. The model revealed that social networks mediated the effects of loneliness on social adaptation. Further, loneliness-related abnormal brain FC (previously shown to be associated with difficulties in cognitive control, emotion regulation, and sociocognitive processes) emerged as the strongest predictor of poor social adaptation. Findings offer insights into the brain indicators of social adaptation and highlight the role of social networks as a buffer against the maladaptive effects of loneliness. These findings can inform interventions aimed at minimizing loneliness and promoting social adaptation and are especially relevant due to the high prevalence of loneliness around the globe. These findings also serve the study of social adaptation since they provide potential neurocognitive factors that could influence social adaptation.
A deep semantic matching approach for identifying relevant messages for social media analysis
Authors: Biggers Frederick Brown , Mohanty Somya D. , Manda Prashanti 
Published: July 2023

AbstractThere is a growing interest in using social media content for Natural Language Processing applications. However, it is not easy to computationally identify the most relevant set of tweets related to any specific event. Challenging semantics coupled with different ways for using natural language in social media make it difficult for retrieving the most relevant set of data from any social media outlet. This paper seeks to demonstrate a way to present the changing semantics of Twitter within the context of a crisis event, specifically tweets during Hurricane Irma. These methods can be used to identify the most relevant corpus of text for analysis in relevance to a specific incident such as a hurricane. Using an implementation of the Word2Vec method of Neural Network training mechanisms to create Word Embeddings, this paper will: discuss how the relative meaning of words changes as events unfold; present a mechanism for scoring tweets based upon dynamic, relative context relatedness; and show that similarity between words is not necessarily static. We present different methods for training the vector model in Word2Vec for identification of the most relevant tweets for any search query. The impact of tuning parameters such as Word Window Size, Minimum Word Frequency, Hidden Layer Dimensionality, and Negative Sampling on model performance was explored. The window containing the local maximum for AU_ROC for each parameter serves as a guide for other studies using the methods presented here for social media data analysis.
Distinct sensorimotor mechanisms underlie the control of grasp and manipulation forces for dexterous manipulation
Authors: Wu Yen-Hsun , Santello Marco 
Published: July 2023

AbstractDexterous manipulation relies on the ability to simultaneously attain two goals: controlling object position and orientation (pose) and preventing object slip. Although object manipulation has been extensively studied, most previous work has focused only on the control of digit forces for slip prevention. Therefore, it remains underexplored how humans coordinate digit forces to prevent object slip and control object pose simultaneously. We developed a dexterous manipulation task requiring subjects to grasp and lift a sensorized object using different grasp configurations while preventing it from tilting. We decomposed digit forces into manipulation and grasp forces for pose control and slip prevention, respectively. By separating biomechanically-obligatory from non-obligatory effects of grasp configuration, we found that subjects prioritized grasp stability over efficiency in grasp force control. Furthermore, grasp force was controlled in an anticipatory fashion at object lift onset, whereas manipulation force was modulated following acquisition of somatosensory and visual feedback of object’s dynamics throughout object lift. Mathematical modeling of feasible manipulation forces further confirmed that subjects could not accurately anticipate the required manipulation force prior to acquisition of sensory feedback. Our experimental approach and findings open new research avenues for investigating neural mechanisms underlying dexterous manipulation and biomedical applications.
Plasma microRNA ratios associated with breast cancer detection in a nested case–control study from a mammography screening cohort
Authors: Chiorino Giovanna , Petracci Elisabetta , Sehovic Emir , Gregnanin Ilaria , Camussi Elisa , Mello-Grand Maurizia , Ostano Paola , Riggi Emilia , Vergini Viviana , Russo Alessia , Berrino Enrico , Ortale Andrea , Garena Francesca , Venesio Tiziana , Gallo Federica , Favettini Elisabetta , Frigerio Alfonso , Matullo Giuseppe , Segnan Nereo , Giordano Livia 
Published: July 2023

AbstractMammographic breast cancer screening is effective in reducing breast cancer mortality. Nevertheless, several limitations are known. Therefore, developing an alternative or complementary non-invasive tool capable of increasing the accuracy of the screening process is highly desirable. The objective of this study was to identify circulating microRNA (miRs) ratios associated with BC in women attending mammography screening. A nested case–control study was conducted within the ANDROMEDA cohort (women of age 46–67 attending BC screening). Pre-diagnostic plasma samples, information on life-styles and common BC risk factors were collected. Small-RNA sequencing was carried out on plasma samples from 65 cases and 66 controls. miR ratios associated with BC were selected by two-sample Wilcoxon test and lasso logistic regression. Subsequent assessment by RT-qPCR of the miRs contained in the selected miR ratios was carried out as a platform validation. To identify the most promising biomarkers, penalised logistic regression was further applied to candidate miR ratios alone, or in combination with non-molecular factors. Small-RNA sequencing yielded 20 candidate miR ratios associated with BC, which were further assessed by RT-qPCR. In the resulting model, penalised logistic regression selected seven miR ratios (miR-199a-3p_let-7a-5p, miR-26b-5p_miR-142-5p, let-7b-5p_miR-19b-3p, miR-101-3p_miR-19b-3p, miR-93-5p_miR-19b-3p, let-7a-5p_miR-22-3p and miR-21-5p_miR-23a-3p), together with body mass index (BMI), menopausal status (MS), the interaction term BMI * MS, life-style score and breast density. The ROC AUC of the model was 0.79 with a sensitivity and specificity of 71.9% and 76.6%, respectively. We identified biomarkers potentially useful for BC screening measured through a widespread and low-cost technique. This is the first study reporting circulating miRs for BC detection in a screening setting. Validation in a wider sample is warranted.Trial registration: The Andromeda prospective cohort study protocol was retrospectively registered on 27-11-2015 (NCT02618538).
Modelling of inactivation kinetics of Escherichia coli, Salmonella Enteritidis and Bacillus subtilis treated with a multi-hollow surface dielectric barrier discharge plasma
Authors: Mošovská Silvia , Medvecká Veronika , Valík Ľubomír , Mikulajová Anna , Zahoranová Anna 
Published: July 2023

AbstractThe efficacy of multi-hollow surface dielectric barrier discharge treatment against Escherichia coli, Salmonella Enteritidis and Bacillus subtilis was studied. Ambient air, O2, and N2 were used as working gas with a flow rate of 6 l/m. Power delivered into plasma was 30 W over an area of 2 × 2 cm2. The active species in plasma generated in different gases participating in the inactivation of microorganisms were evaluated by optical emission spectroscopy and Fourier transform infrared spectroscopy. Inactivation curves were fitted to the Bigelow log-linear, the biphasic, and Geeraerd models. According to the results, all plasma treatments inactivated tested microorganisms, depending on a working gas. The most sensitivity of bacteria was observed to the ambient air plasma. Inactivation up to 5 log for E. coli and S. Enteritidis could be achieved within 15 s of plasma treatment. Air plasma exposure of 25 s also led to log10 CFU/ml of B. subtilis from 7.98 to 4.39. S. Enteritidis was slight resistance to plasma treatment with N2. Within 180 s nitrogen plasma treatment, a 2.04 log10 CFU/ml reduction was recorded.
Prediction of stability coefficient of open-pit mine slope based on artificial intelligence deep learning algorithm
Authors: Wang Shuai , Zhang Zongbao , Wang Chao 
Published: July 2023

AbstractThe mining of open pit mines is widespread in China, and there are many cases of landslide accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is a factor that directly affects the mining efficiency and the safety of the entire mining process. According to the statistics, there is a 15 percent chance of finding landslide risk in China’s large-scale mines. And due to the expansion of the mining scale of the enterprise, the problem of slope stability has become increasingly obvious, which has become a major subject in the study of open-pit mine engineering. In order to better predict the slope stability coefficient, this study takes a mine in China as a case to deeply discuss the accuracy of different algorithms in the stability calculation, and then uses a deep learning algorithm to study the stability under rainfall conditions. The change of the coefficient and the change of the stability coefficient before and after the slope treatment are experimentally studied with the displacement of the monitoring point. The result shows that the safety coefficient calculated by the algorithm in this paper is about 7% lower than that of the traditional algorithm. In the slope stability analysis before treatment, the safety factor calculated by the algorithm in this paper is 1.086, and the algorithm in this paper is closer to reality. In the stability analysis of the slope after treatment, the safety factor calculated by the algorithm in this paper is 1.227, and the stability factor meets the requirements of the specification. It also shows that the deep learning algorithm effectively improves the efficiency of the slope stability factor prediction and improves security during project development.
Abrupt height growth setbacks show overbrowsing of tree saplings, which can be reduced by raising deer harvest
Authors: Bödeker Kai , Jordan-Fragstein Claudia , Vor Torsten , Ammer Christian , Knoke Thomas 
Published: July 2023

AbstractIntensive ungulate browsing significantly impacts forests worldwide. However, it is usually not single browsing events that lead to sapling mortality, but the little-researched interactions of browsed saplings with their biotic and abiotic environment. (I) Our objective was to assess the impact of ungulate browsing on the growth of young saplings relative to other environmental factors by utilizing their height increment as a sensitive measure of vitality to indicate their status. (II) Furthermore, we aimed to identify factors affecting ungulate browsing at our study sites, assessed as browsing probabilities, and identify effective mitigation measures for browsing impact. We analyzed an extensive sapling dataset of 248 wildlife exclosures, which were erected in 2016 in beech dominated forests across Germany and assessed annually until 2020. (I) Browsing probability and light availability were the most influential parameters for selectively browsed, admixed tree species (e.g., sycamore maple). Height increment showed abrupt setbacks, which caused a permanent collapse of growth when browsing exceeded a certain level. However, light availability enhanced height increment. (II) An increase in deer harvest reduced the browsing probability of selectively browsed species considerably. We conclude that the growth-inhibiting effect of ungulate browsing is a multifactorial phenomenon, which can be mitigated by silvicultural management and efficient hunting strategies.
Eco-friendly textile desizing with indigenously produced amylase from Bacillus cereus AS2
Authors: Rehman Aneela , Saeed Asma , Asad Wajeeha , Khan Ibrar , Hayat Azam , Rehman Mujaddad Ur , Shah Tawaf Ali , Sitotaw Baye , Dawoud Turki M. , Bourhia Mohammed 
Published: July 2023

AbstractStarch is added to the fabric surface to secure weaving process. During finishing these sized particles are removed from the fabric and prepared it for printing and dyeing. Chemicals de-sizing agents damage fabric surfaces and reduce the quality of the product. An alternative to these conventional desizing agents is the use of biological molecules i.e. enzymes. The current study compares traditional de-sizing to bio-based de-sizing methods, as well as the optimization of fabric desizing settings using crude amylase. Amylase-producing Bacillus cereus AS2 was isolated from indigenous soil samples. The maximal fermentative de-sizing capability was discovered at 72 h, with no fabric surface degradation. Chemical desizing showed that the fabric lost all sizing agents to TEGEWA scale 9 within 1 h in presence of 5N HCl. Optimal studies for desizing showed that 1000 IU/ml of amylase resulted in maximum de-sizing within 15 h at 60 °C and 0.5% Triton-X. Water absorbance and weight loss, both parameters were used to check the desizing efficacy and it was found that de-sizing to same scale was occurred in the case of enzyme as well as commercially desized fabric. Enzyme desized cloth was found to be free of any starch particles in SEM micrographs, identical to industrially de-sized fabric, ensuring bioprocess efficacy.
First molecular data on the human roundworm Ascaris lumbricoides species complex from the Bronze and Iron Age in Hallstatt, Austria
Authors: Barsch Elisabeth , Kowarik Kerstin , Rodler Katharina , Hörweg Christoph , Reschreiter Hans , Sattmann Helmut , Walochnik Julia 
Published: July 2023

AbstractPalaeoparasitological studies can provide valuable information on the emergence, distribution, and elimination of parasites during a particular time in the past. In the prehistoric salt mines of Hallstatt, located in the Austrian Alps, human faeces have been conserved in salt. The aim of this study was to recover ancient DNA of intestinal parasites from these coprolites. Altogether, 35 coprolites from the Hallstatt salt mines, dating back to the Bronze Age mining phase (1158–1063 BCE) and the Iron Age mining phase (750–662 BCE), respectively, were analysed by microscopy and molecular methods. In 91% of the coprolite samples, eggs of soil-transmitted helminths (STH), namely of Trichuris and/or Ascaris were detected by light microscopy. The Ascaris eggs were exceptionally well preserved. For further analysis, DNA was extracted from the palaeofaecal samples and species-specific primers targeting different genes were designed. While amplification of Trichuris DNA remained unsuccessful, sequence data of A. lumbricoides species complex were successfully obtained from 16 coprolites from three different genes, the mitochondrial cytochrome c oxidase subunit 1 gene (cox1), the mitochondrial cytochrome B gene (cytB) and the mitochondrial NADH dehydrogenase subunit 1 gene (nadh1). Importantly, these included two Ascaris sequences from a coprolite from the Bronze Age, which to the best of our knowledge are the first molecular data of this genus from this period.
Defects in early synaptic formation and neuronal function in Prader-Willi syndrome
Authors: Soeda Shuhei , Ito Daiki , Ogushi Tomoe , Sano Yui , Negoro Ryosuke , Fujita Takuya , Saito Ryo , Taniura Hideo 
Published: July 2023

AbstractPrader-Willi syndrome (PWS), which is a complex epigenetic disorder caused by the deficiency of paternally expressed genes in chromosome 15q11-q13, is associated with several psychiatric dimensions, including autism spectrum disorder. We have previously reported that iPS cells derived from PWS patients exhibited aberrant differentiation and transcriptomic dysregulation in differentiated neural stem cells (NSCs) and neurons. Here, we identified SLITRK1 as a downregulated gene in NSCs differentiated from PWS patient iPS cells by RNA sequencing analysis. Because SLITRK1 is involved in synaptogenesis, we focused on the synaptic formation and function of neurons differentiated from PWS patient iPS cells and NDN or MAGEL2 single gene defect mutant iPS cells. Although βIII tubulin expression levels in all the neurons were comparable to the level of differentiation in the control, pre- and postsynaptic markers were significantly lower in PWS and mutant neurons than in control neurons. PSD-95 puncta along βIII tubulin neurites were also decreased. Membrane potential responses were measured while exposed to high K+ stimulation. The neuronal excitabilities in PWS and mutant neurons showed significantly lower intensity than that of control neurons. These functional defects in PWS neurons may reflect phenotypes of neurodevelopmental disorders in PWS.
Speed limit of quantum metrology
Authors: Maleki Yusef , Ahansaz Bahram , Maleki Alireza 
Published: July 2023

AbstractQuantum metrology employs nonclassical systems to improve the sensitivity of measurements. The ultimate limit of this sensitivity is dictated by the quantum Cramér–Rao bound. On the other hand, the quantum speed limit bounds the speed of dynamics of any quantum process. We show that the speed limit of quantum dynamics sets a fundamental bound on the minimum attainable phase estimation error through the quantum Cramér–Rao bound, relating the precision directly to the underlying dynamics of the system. In particular, various metrologically important states are considered, and their dynamical speeds are analyzed. We find that the bound could, in fact, be related to the nonclassicality of quantum states through the Mandel Q parameter.
Investigation of bimodal characteristics of the droplet size distribution in condensation spray
Authors: Okajima Junnosuke , Kato Mitsuki , Hayakawa Akihiro , Iga Yuka 
Published: July 2023

AbstractTo understand the generation process of airborne droplets during exhalation, this study investigates the mechanism of bimodal characteristics of the size distribution of droplets generated in a condensed spray flow. The phase change process in the condensed spray flow was estimated based on the droplet size distribution measured by a phase Doppler particle analyzer and the temperature distribution measured by a thermistor. On the central axis, the size distribution was unimodal in the spray interior. In contrast, bimodality of the size distribution at the outer edge of the spray flow was observed. At the edge of the spray flow, a large temperature gradient was formed. This indicates that condensation actively occurred at the outer edge. For the same reason as outlined above, condensation did not progress at the spray center because of the consumption of water vapor at the outer edge by the condensation, and the droplet diameter did not change significantly. Hence, owing to the difference in the local phase change process between the center and outer edge of the spray, large and small droplets can exist simultaneously in the middle region. As a result, the size distribution of the condensation spray is bimodal.