bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of poling camber angle on the biomechanics of cross-country sit-skiing
Authors: Tian Yuan , Chen Xue , Liu Yujie , Sun Gang , Zhou Zhixiong , Liu Chenglin , Huo Bo 
Published: November 2023

AbstractCross-country sit-skiers use double poling (DP) technique to drive the slide. The aim of this study is to analyze how poling camber angle affect the capacity of power output and biomechanical parameters of the DP process. Twenty-four non-disabled college students (24.67 ± 1.46 years old) were recruited to perform three successive 30-s maximal effort tests with different poling camber angles of 0°, 15°, 24° and 30° using a sit-skiing ergometer. The biomechanical parameters, output power and muscle activation of the subjects were analyzed. The results showed that DP output power increased with the increase of poling camber angle at 15° (597.78 ± 150.31 J), 24° (610.94 ± 158.96 J, P = 0.011) and 30° (629.10 ± 168.78 J, P < 0.001) compared with 0° (590.65 ± 148.95 J). However, effective output power decreased with the increase of camber angle. Poling with camber angle of 24° had the shortest cycle time 1.53 ± 0.17 s, compared with other abduction angle (0°, 1.57 ± 0.19 s, 15°, 1.55 ± 0.16 s, and 30°, 1.56 ± 0.19 s). Compared with 0° (1.02 ± 0.14 m), the cycle distance significantly increased at poling camber angles of 24° (1.07 ± 0.12 m, P = 0.029) and 30° (1.11 ± 0.13 m, P < 0.001). With the increase of poling camber angle, the shoulder and elbow joint range of motions and joint moments were significantly increased. This study found that poling with shoulder abducted increased the output power but decreased the efficiency. By analyzing the poling angle and poling force, we find that the optimal poling camber angle may depend on the terrain or the skiing speed. These results may guide the competition techniques and tactics in the matches, and may further influence the strength-training programs of cross-country sit-skiing athletes.
Identification and validation of candidate clinical signatures of apolipoprotein L isoforms in hepatocellular carcinoma
Authors: Wang Xiang-Kun , Guo Yu-Xiang , Wang Miao , Zhang Xu-Dong , Liu Zhong-Yuan , Wang Mao-Sen , Luo Kai , Huang Shuai , Li Ren-Feng 
Published: November 2023

AbstractHepatocellular carcinoma (HCC) is a lethal malignancy worldwide with an increasing number of new cases each year. Apolipoprotein (APOL) isoforms have been explored for their associations with HCC.The GSE14520 cohort was used for training data; The Cancer Genome Atlas (TCGA) database was used for validated data. Diagnostic, prognostic significance and mechanisms were explored using these cohorts. Risk score models and nomograms were constructed using prognosis-related isoforms and clinical factors for survival prediction. Oncomine and HCCDB databases were further used for validation of diagnostic, prognostic significance. APOL1, 3, and 6 were differentially expressed in two cohorts (all P ≤ 0.05). APOL1 and APOL6 had diagnostic capacity whereas APOL3 and APOL6 had prognostic capacity in two cohorts (areas under curves [AUCs] > 0.7, P ≤ 0.05). Mechanism studies demonstrated that APOL3 and APOL6 might be involved in humoral chemokine signaling pathways (all P ≤ 0.05). Risk score models and nomograms were constructed and validated for survival prediction of HCC. Moreover, diagnostic values of APOL1 and weak APOL6 were validated in Oncomine database (AUC > 0.700, 0.694); prognostic values of APOL3 and APOL6 were validated in HCCDB database (all P < 0.05). Differentially expressed APOL1 and APOL6 might be diagnostic biomarkers; APOL3 and APOL6 might be prognostic biomarkers of RFS and OS for HCC via chemokine signaling pathways.
An optimization framework to guide the choice of thresholds for risk-based cancer screening
Authors: Brentnall Adam R. , Atakpa Emma C. , Hill Harry , Santeramo Ruggiero , Damiani Celeste , Cuzick Jack , Montana Giovanni , Duffy Stephen W. 
Published: November 2023

AbstractIt is uncommon for risk groups defined by statistical or artificial intelligence (AI) models to be chosen by jointly considering model performance and potential interventions available. We develop a framework to rapidly guide choice of risk groups in this manner, and apply it to guide breast cancer screening intervals using an AI model. Linear programming is used to define risk groups that minimize expected advanced cancer incidence subject to resource constraints. In the application risk stratification performance is estimated from a case–control study (2044 cases, 1:1 matching), and other parameters are taken from screening trials and the screening programme in England. Under the model, re-screening in 1 year for the highest 4% AI model risk, in 3 years for the middle 64%, and in 4 years for 32% of the population at lowest risk, was expected to reduce the number of advanced cancers diagnosed by approximately 18 advanced cancers per 1000 diagnosed with triennial screening, for the same average number of screens in the population as triennial screening for all. Sensitivity analyses found the choice of thresholds was robust to model parameters, but the estimated reduction in advanced cancers was not precise and requires further evaluation. Our framework helps define thresholds with the greatest chance of success for reducing the population health burden of cancer when used in risk-adapted screening, which should be further evaluated such as in health-economic modelling based on computer simulation models, and real-world evaluations.
High-pressure induced Weyl semimetal phase in 2D Tellurium
Authors: Niu Chang , Zhang Zhuocheng , Graf David , Lee Seungjun , Wang Mingyi , Wu Wenzhuo , Low Tony , Ye Peide D. 
Published: November 2023

AbstractRelativistic Weyl fermion quasiparticles in Weyl semimetal bring the electron’s chirality degree of freedom into the electrical transport and give rise to exotic phenomena. A topological phase transition from a topological trivial phase to a topological non-trivial phase offers a route to control electronic devices through its topological properties. Here, we report the Weyl semimetal phase in hydrothermally grown two-dimensional Tellurium (2D Te) induced by high hydrostatic pressure (up to 2.47 GPa). The unique chiral crystal structure gives rise to chiral fermions with different topological chiral charges ($${{C}}=-{{1}},+{{1}},{{and}}-{{2}}$$
C
=
−
1
,
+
1
,
a
n
d
−
2
). The highly tunable chemical potential in 2D Te provides comprehensive information for understanding the pressure-dependent electron band structure. The pressure-induced insulator-to-metal transition, two-carrier transport, and the non-trivial π Berry phase shift in quantum oscillations are observed in the 2D Te Weyl semimetal phase. Our work demonstrates the pressure-induced bandgap closing in the inversion asymmetric narrow bandgap semiconductor 2D Te.
Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war
Authors: Shumilo Leonid , Skakun Sergii , Gore Meredith L. , Shelestov Andrii , Kussul Nataliia , Hurtt George , Karabchuk Dmytro , Yarotskiy Volodymyr 
Published: November 2023

AbstractThe Russian-Ukrainian War, ongoing since 2014, impacts an area containing Emerald Network environmental-protection sites created through the implementation of the Bern Convention on the Conservation of European Wildlife and Natural Habitats. Here we explore the impact of this conflict on institutional links supporting environmental sustainability and conservation efforts. Using satellite data, we analyzed tree cover changes in the Luhansk region’s Emerald Network protected areas from 1996 to 2020. The results reveal that the implementation of Bern Convention conservation policies led to a shift from deforestation (−4% each) to reforestation (+8% and +10%) on both sides of the Emerald Network divided by the demarcation line in 2014. It also shows that despite the war, territories under Ukraine control after 2014 continued reforestation (+9%), while sites under Russian control experienced dramatic forest loss (−25%). These findings emphasize the significant consequences of warfare-induced separation of local institutions on conservation areas and underscore the positive impact of the Emerald Network establishment, both before and after the conflict’s onset.
Ecosystems in China have become more sensitive to changes in water demand since 2001
Authors: Hu Ying , Wei Fangli , Fu Bojie , Zhang Wenmin , Sun Chuanlian 
Published: November 2023

AbstractChanges in heat and moisture significantly co-alter ecosystem functioning. However, knowledge on dynamics of ecosystem responses to climate change is limited. Here, we quantify long-term ecosystem sensitivity based on weighted ratios of vegetation productivity variability and multiple climate variables from satellite observations, greater values of which indicate more yields per hydrothermal condition change. Our results show ecosystem sensitivity exhibits large spatial variability and increases with the aridity index. A positive temporal trend of ecosystem sensitivity is found in 61.28% of the study area from 2001 to 2021, which is largely attributed to declining vapor pressure deficit and constrained by solar radiation. Moreover, carbon dioxide plays a dual role; which in moderation promotes fertilization effects, whereas in excess may suppress vegetation growth by triggering droughts. Our findings highlight moisture stress between land and atmosphere is one of the key prerequisites for ecosystem stability, offsetting part of the negative effects of heat.
Dysphagia Education and Diet Modification: Preparing Clinicians to Make Patient-Focused Decisions Through Experiential Learning
Authors: Sherrill Martha H. , Lenell Charles 
Published: November 2023

Purpose:
This study examined the use of an experiential learning activity to familiarize students with the preparation and consumption of a modified diet (puree solids and mildly thick liquids) for 24 hr from a patient's perspective. We hypothesized that students would demonstrate high levels of noncompliance despite their understanding of the purpose and use of modified diets and the short duration of the activity.

Method:
This is a quasi-experimental study of multiple cohorts of students examining their overall compliance with a modified diet, nutrition/hydration intake patterns, and personal responses to the experience. Statistical analysis of nutritional intake patterns was completed across compliant/noncompliant groups, and thematic content analysis was completed to identify frequently occurring themes in narrative personal reflections.

Results:
Compliant participants consumed greater amounts of sugar and calories. Themes of empathy, struggles with preparation of the diet, and aversion to taste were common examples of personal responses to the experience.

Conclusions:
Results demonstrate the efficacy of experiential learning in dysphagia education and align with the current body of literature of dysphagia management through modified diets.
A study on the biocompatibility of ramie fibre for medical dressing application
Authors: Wei Changsheng , Xiong Shibing , Zhang Siqi , Cui Yifan , Wang Simeng , Lu Xugang , Chen Jun , Zhang Mei , Yang Bangcheng 
Published: November 2023

AbstractIn order to explore the potential application of Ramie fibre (RF) in medical dressing, the absorbency ratio of ramie fibre cloth, medical gauze and natural cotton fibre cloth was tested, and the factors affecting the absorbency ratio of materials were analysed. Meanwhile, the hemocompatibility of the three fibre materials were also studied. The results showed that the RF cloth had good moisture absorption and hemocompatibility. Therefore, RF is a potential material for medical dressing.
An inverse halftoning method based on supervised deep convolutional neural network
Authors: Li Mei , Liu Qi 
Published: November 2023

AbstractInverse halftoning is a technology that converts a binary image into a continuous tone image. Due to the wide application of inverse halftoning, many scholars have proposed several deep convolutional neural networks (DCNN) to optimize their performance. According to the observation, there is still room for improvement in content generation and detail recovery of the inverse halftone images generated by using the existing methods. Therefore, an inverse halftoning method based on supervised DCNN is proposed in this paper. The method consists of two parts: the multi‐level feature extraction model uses the down‐sampling to extract the features from the halftone image and remove the halftone noise dots on flat areas, which is implemented by four convolutional layers; the image reconstruction model uses up‐sampling to reconstruct image information, which is realized by four convolutional layers and two dense residual blocks. At the same time, in order to further recover the details, the down‐sampling feature maps and up‐sampling feature maps of the same size are concatenated by addition layers. Experimental results show that compared with other methods, the inverse halftone images obtained by the proposed network have better results in both subjective and objective evaluations.
Modeling and simulation of charging characteristics of electric vehicle group under the mode of autonomous driving‐shared travel
Authors: Zhu Junliang , Wu Zhigang , Chen Chongchen , Su Entong 
Published: November 2023

AbstractCompared with the traditional travel mode, the increasingly mature autonomous driving and shared travel technologies can lead to a higher driving utilization rate and lower car parc; however, at the same time, they will bring unknown impacts to the trans‐energy system. As a new generation of vehicles, the behavior of electric vehicles will also be affected. This paper describes and models the behavior of electric vehicle group in the autonomous driving‐shared travel mode in detail, and uses the multi‐agent technology to establish a large‐scale electric vehicle group simulation model. This model fully considers the constraints of traffic network and charging station and the influence of fuel vehicles, which can simulate the actual scene well and be used to study the charging behavior of electric vehicle group. Finally, the simulation model is used to obtain the charging load curve of the electric vehicle group under the new travel mode and analyze the influence of travel upgrade and network topology on charging load.
Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data
Authors: Jokhio Sarang , Olleja Pierluigi , Bärgman Jonas , Yan Fei , Baumann Martin 
Published: November 2023

AbstractUsing turn signals to convey a driver's intention to change lanes provides a direct and unambiguous way of communicating with nearby drivers. Nonetheless, past research has indicated that drivers may not always use their turn signals before starting a lane change. In this study, realistic driving data are analyzed to investigate turn signal usage during lane changes on highways in and around Gothenburg, Sweden. Turn signal usage is examined and factors that influence it are identified by employing Bayesian hierarchical modelling. The study found that drivers used their turn signal before changing lanes in 60% of cases, after starting the lane change in 33% of cases, and did not use it at all in 7% of cases. The Bayesian hierarchical modelling results indicate that various factors, such as the speed and direction of lane changes and the presence of surrounding vehicles, influence the usage of turn signals. The study concludes that understanding the factors affecting turn signal usage is crucial for improving traffic safety in current and future mixed traffic with autonomous vehicles. The study discusses the implications of findings concerning increasing turn signal compliance through general policy‐making, improving existing in‐vehicle technologies and including turn signal usage in Pay‐As‐You‐Drive insurances.
Reconfigurable inductorless negative‐refractive‐index transmission‐line metamaterial phase shifter for 5G antenna beam‐steering applications
Authors: Bilal Asif , Quddious Abdul , Kanno Atsushi , Kawanishi Tetsuya , Iezekiel Stavros , Antoniades Marco A. 
Published: November 2023

AbstractA reconfigurable inductorless negative‐refractive‐index transmission‐line (NRI‐TL) metamaterial phase shifter for sub‐6 GHz 5G antenna applications is proposed. The design consists of a microstrip transmission line loaded both in series and in parallel with varactor diodes to provide continuous tuning of the phase of the transmitted signal by varying the bias voltage applied to the varactors, without the need for variable inductor components. The total measured differential phase shift is 190° at 3.2 GHz, with a measured insertion loss of 1.5–2.7 dB in the frequency range of 3.2–3.6 GHz, when the biasing voltage of the varactors is varied between 0 and 7 V. The total size of the microstrip NRI‐TL phase shifter is 19.4 mm × 24 mm. The proposed reconfigurable phase shifter has been incorporated into the feeding network of a two‐element antenna array to demonstrate its use in beam‐steering applications. The measured results for the reconfigurable array show good impedance matching between 3 and 3.35 GHz for all biasing values, allowing continuous beam steering over a scanning range of 60°.
A dusty streamer infalling onto the disk of a class I protostar
Authors: Cacciapuoti L. , Macias E. , Gupta A. , Testi L. , Miotello A. , Espaillat C. , Küffmeier M. , van Terwisga S. , Tobin J. , Grant S. , Manara C. F. , Segura-Cox D. , Wendeborn J. , Klessen R. S. , Maury A. J. , Lebreuilly U. , Hennebelle P. , Molinari S. 
Published: November 2023

Context. Observations of interstellar material infalling onto star- and planet-forming systems have become increasingly common thanks to recent advancements in radio interferometry. These structures have the potential to alter the dynamics of protoplanetary disks significantly by triggering the formation of substructures, inducing shocks, and modifying their physical and chemical properties. Moreover, the protoplanetary disks are replenished with new material, which increases the overall mass budget for planet formation.
Aims. In this study, we combine new ALMA band 3 and archival band 6 observations to characterize the dust content and infall rate of a 4000 au arc-like structure that is infalling onto [MGM2012] 512 (hereafter M512), a class I young stellar object located in the Lynds 1641 region of the Orion A molecular cloud.
Methods. We detected the extended dust emission from this structure in both ALMA bands. We tested whether the velocity pattern of the streamer is consistent with infalling trajectories by means of analytical streamline models. We measured spectral index maps for the first time and derived a dust opacity-index profile along a streamer. We constrained its grain properties and mass.
Results. We find that the arc structure is consistent with infalling motions. We measure a spectral index α ~ 3.2 across the entire structure and a dust opacity index β ~ 1.6. Considering grain properties consistent with the measured β, the structure can host up to 245 M⊕ of dust, which exceeds or is comparable to the mass of the inner unresolved 600 au, which contains the protoplanetary disk of M512. Assuming a typical dust-to-gas ratio of 1% for the streamer, the free-fall timescales (50 kyr) imply total mass-infall rates up to 1.5 × 10−6 M⊙ yr−1. M512 has been classified as an outbursting source with multi-epoch WISE photometry. It is thus an interesting case study for exploring the possible connection between infalling streamers and accretion outbursts.
Conclusions. M512 is a unique source for which dust continuum emission of an arc-like streamer extending out to 4000 au can be characterized in a dual-band analysis. The dust properties are similar to those in the interstellar medium and imply a high dust mass. A massive streamer like this can affect the evolution of the star- and planet-forming inner system strongly.
Genitalic morphology and phylogenomic placement of the Australian spider Paraplectanoides crassipes Keyserling, 1886 (Araneae, Araneidae) with a discussion on the classification of the family Araneidae
Authors: Hormiga Gustavo , Kulkarni Siddharth , Arnedo Miquel , Dimitrov Dimitar , Giribet Gonzalo , Kallal Robert J. , Scharff Nikolaj 
Published: November 2023

We complement and expand the existing descriptions of the Australian araneid spider Paraplectanoides crassipes Keyserling, 1886, and provide the first detailed analysis of the male palpal homologies to include examination of the expanded organ and scanning electron micrographs of the palpal sclerites. We study the placement of Paraplectanoides and the classification of the family Araneidae by combining ultraconserved elements with Sanger markers. We also added Sanger sequences of the Australian araneid genus Venomius to the molecular dataset of Scharff et al. (2020) to explore the phylogenetic placement and implications for classification of the family. We evaluate a recent proposal on the classification of the family Araneidae by Kuntner et al. (2023) in which a new family is erected for P. crassipes. Paraplectanoides is monotypic. Examination of the type material shows that Paraplectanoides kochi O. Pickard-Cambridge, 1877 is misplaced in the genus and the name is a senior synonym of the araneid Isoxya penizoides Simon, 1887 (new synonymy) that results in the new combination Isoxya kochi (O. Pickard-Cambridge, 1877). The classification of Araneidae is revised and the following nomenclatural acts are introduced: Paraplectanoididae Kuntner, Coddington, Agnarsson and Bond, 2023 is a junior synonym of Araneidae Clerck, 1757 new synonymy; phonognathines and nephilines are subfamilies of Araneidae (Subfamily Phonognathinae Simon, 1894 rank resurrected; and Subfamily Nephilinae Simon, 1894 rank resurrected). The results of our analyses corroborate the sister group relationship between Paraplectanoides and the araneid subfamily Nephilinae. Venomius is sister to the Nephilinae + Paraplectanoides clade. The placement of the oarcine araneids and Venomius renders the family Araneidae non-monophyletic if this were to be circumscribed as in Kuntner et al. (2023). In light of the paucity of data that the latter study presents, and in absence of a robust, stable and more densely sampled phylogenetic analysis of Araneidae, the changes and definitions introduced by that classification are premature and could lead to a large number of new families for what once were araneid species if the maximum-crown-clade family definitions were to be used. Consequently, we argue for restoring the familial and subfamilial classification of Araneidae of Dimitrov et al. (2017), Scharff et al. (2020) and Kallal et al. (2020).
Behavioural evidence for implicative paradigmatic relations
Authors: Copot Maria , Bonami Olivier 
Published: November 2023

AbstractForm predictability has long been known to influence speaker behaviour in language learning and use. However, this observation has largely remained dissociated from the question of the most apt theoretical framing of the effects observed. We set out to seek evidence that speakers’ relationship to form predictability is best characterised in paradigmatic terms: in an experimental task comparable to prediction of one word form from a related one, speakers appear sensitive to the probabilistic, implicative relations that make up a morphological paradigm. We find this effect to be omnidirectional, from any paradigm cell to any paradigm cell. Form predictability does not impact speaker behaviour in a vacuum, but instead works together with aspects of memory and learning to organise the mental lexicon and inform language use. In a corpus study, we map out the complex relationships that exist between paradigmatic form predictability, lexeme frequency and cell frequency in the context of naturalistic language use. Speakers appear to exploit all available probabilistic relationships between the word forms of a language in a way that is predicted by Word and Paradigm theories of morphology, with memory and predictive processing playing a mediating role in all aspects of language use.