bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measurement of the
e+e−→KSKL
cross section near the
ϕ(1020)
resonance with the SND detector
Authors: Achasov M. N. , Barnyakov A. Yu. , Bedarev E. V. , Beloborodov K. I. , Berdyugin A. V. , Bogdanchikov A. G. , Botov A. A. , Chistyakov D. E. , Dimova T. V. , Druzhinin V. P. , Kardapoltsev L. V. , Kasaev A. S. , Kattsin A. A. , Kharlamov A. G. , Koop I. A. , Korol A. A. , Kovrizhin D. P. , Kupich A. S. , Kryukov A. P. , Melnikova N. A. , Muchnoi N. Yu. , Obrazovsky A. E. , Pakhtusova E. V. , Pugachev K. V. , Rastigeev S. A. , Rogovsky Yu. A. , Senchenko A. I. , Serednyakov S. I. , Shatunov Yu. M. , Sherstyuk S. P. , Shtol D. A. , Silagadze Z. K. , Surin I. K. , Usov Yu. V. , Zhabin V. N. , Zharinov Yu. M. ,   SND Collaboration
Published: October 2024

The cross section for the e+e−→KSKL process is measured in the center-of-mass energy range from 1000 to 1100 MeV in the experiment with the SND detector at the VEPP-2000  e+e− collider. The measurement is carried out in the KS→2π0 decay mode. Data with an integrated luminosity of 20  pb−1 recorded in 2018 at 18 energy points are used in the analysis. The systematic uncertainty in the measured cross section at the maximum of the ϕ resonance is 0.9%. The mass, width of the ϕ meson, and the product of the branching fractions B(ϕ→KSKL)B(ϕ→e+e−) are determined from the fit to the cross section energy dependence.

Published by the American Physical Society
2024
Odour information enables patch choice by mammalian herbivores from afar, leading to predictable plant associational effects
Authors: Finnerty Patrick B. , Shrader Adrian M. , Banks Peter B. , Schmitt Melissa H. , McArthur Clare 
Published: October 2024

Abstract

Neighbouring plants can alter the susceptibility of high‐quality focal plants to herbivores by affecting herbivore patch choice. Herbivores can use plant odour to make patch‐scale foraging decisions from afar, but the actual information they rely on within complex plant odours is rarely defined. Revealing the information enabling patch choice by herbivores will provide the mechanistic link underpinning associational effects of plant neighbours arising from these foraging decisions.

Here, our first aim was to test whether odour cues alone enable a mammalian herbivore to make patch choice decisions leading to predictable associational effects of neighbours on high‐quality focal plants. Our second aim was then to test whether artificial odour, designed to mimic the informative odour component within the whole odour profile of low‐quality neighbours, is as effective as real plants in influencing patch choice and associational refuge.

We tested patch choice by African elephants, Loxodonta africana using a giant Y‐maze and real or artificial plant odours as the only cues for the neighbours of a high‐quality focal plant. We quantified the probability of various odour treatments being chosen in comparison with the odour of a focal plant alone.

Compared with focal plants alone, we found that elephants were more likely to choose patches with the focal plant plus high‐quality neighbours of the same or different species, but less likely to choose patches with the focal plant plus low‐quality neighbours. We also demonstrated that an artificial subset of odours, designed to be informative, were as effective as real low‐quality neighbours in influencing patch choice and hence associational refuge to the focal plant.

Our results demonstrate a key role of plant odour—and specifically informative components within complex odour profiles—in patch choice decisions by a mammalian herbivore, leading to plant associational effects on high‐quality focal plants. Understanding what olfactory information herbivores use when deciding which patches to visit or avoid, and how it affects focal plant susceptibility is important ecologically. Non‐random patch choice will not only affect individual fitness of herbivores, but also shape plant community dynamics through impacting plant survival and recruitment. Furthermore, artificially re‐creating odour information could offer a new tool to influence herbivore foraging decisions, with implications for wildlife management and conservation, including plant protection.

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Heterogeneous strategy and performance decomposition of regional industries in China: From the perspective of resource misallocation
Authors: Cheng Yu , Su Bin , Lv Kangjuan , Zhu Siwei 
Published: October 2024

AbstractThe rapid expansion of China's industrial sector has been accompanied by energy consumption and environmental pollution. Accurately identifying the sources of inefficiency of industrial sector is crucial for achieving sustainable development. To address this issue, this study develops a novel decomposition approach that combines the concepts of natural and managerial disposability with an aggregate directional distance function approach to measure the performance of regional industries in China from 2006 to 2019. In the proposed approach, the overall inefficiency is decomposed into technical inefficiency and structural inefficiency. The latter component, which captures inefficiency associated with resource misallocation within a country, is further divided into mix and scale elements. The results show that there remains much room for potential improvement in both the operational and environmental performance of China's industrial system, particularly in the central area. Furthermore, structural inefficiency is the primary contributor to the overall inefficiency of Chinese industry under natural disposability, whereas technical inefficiency appears as the main source of the inefficiency under managerial disposability. The results also reveal great disparities in terms of the overall inefficiency and the sources of inefficiency of Chinese industrial sector among regions between different mitigation strategies. Given the substantial structural effect on the performance of Chinese industries across regions, it is necessary to accelerate the establishment of market mechanisms to promote efficient allocation of resources.
Effect of case identification changes on pre‐hospital intubation performance indicators in an Australian helicopter emergency medical service
Authors: Garner Alan A , Scognamiglio Andrew , Kamarova Sviatlana 
Published: October 2024

AbstractObjectiveA 45‐min interval from injury to intubation has been proposed as a performance indicator for severe trauma patient management. In the Sydney pre‐hospital system a previous change in case identification systems was associated with activation delay. We aimed to determine if this also decreased the proportion of patients intubated within this benchmark.MethodsRetrospective cohort study of patients intubated by a helicopter emergency medical service (HEMS) over two time periods. Period 1 dispatch was via HEMS crew directly screening the computerised dispatch system, and period 2 was via paramedics in a central control room. Times from emergency call to intubation were compared.ResultsIn the HEMS crew screening period 46/58 (79.31%) intubations met the target, compared with 137/314 (43.6%) in the central control period (P < 0.001). The median (interquartile range) time to intubation in the direct crew screening period was 33 (25–41) min, versus the central control period at 47 (38–60) min (P < 0.001).On multivariate modelling, distance to the scene was related to time to intubation (P < 0.001; Incident Rate Ratio = 1.018, 95% confidence interval 1.015–1.020) as was dispatch system, entrapment/access difficulty and indication for intubation (all P < 0.001).ConclusionsTime from emergency call to intubation was significantly shorter in the HEMS screening period where all non‐trapped cases less than 50 km distant were intubated within the 45‐min benchmark. There was no distance where intubation within 45 min could be assured for non‐trapped patients in the central control period due to dispatch delays.
Feasibility study on discrimination of Polygonatum kingianum origins by NIR and MIR spectra data
Authors: Wang Yue , Wang Yuanzhong 
Published: October 2024

AbstractMost existing studies have focused on identifying the origin of species with protected geographical indications while neglecting to determine the proximate geographical origin of different species. In this study, we investigated the feasibility of using near‐ and mid‐infrared spectroscopy to identify the origin of 156 Polygonatum kingianum samples from six regions in Yunnan, China. In this work, spectral images of different modes reveal more information about the P. kingianum. Comparing the performance of traditional machine learning models according to single spectrum and data fusion, the middle‐level data fusion‐principal component model has the best performance, and its sensitivity, specificity, and accuracy are all 1, and the model has the least number of variables. The residual convolutional neural network (ResNet) model constructed in the 1050–850 cm−1 band confirms that fewer variables are beneficial in improving the accuracy of the model. In conclusion, this study verifies the feasibility of the proposed strategy and establishes a practical model to determine the source of P. kingianum.
Interactions between Pseudomonas aeruginosa and six opportunistic pathogens cover a broad spectrum from mutualism to antagonism
Authors: Laffont Clémentine , Wechsler Tobias , Kümmerli Rolf 
Published: October 2024

AbstractBacterial infections often involve more than one pathogen. While it is well established that polymicrobial infections can impact disease outcomes, we know little about how pathogens interact and affect each other's behaviour and fitness. Here, we used a microscopy approach to explore interactions between Pseudomonas aeruginosa and six human opportunistic pathogens that often co‐occur in polymicrobial infections: Acinetobacter baumannii, Burkholderia cenocepacia, Escherichia coli, Enterococcus faecium, Klebsiella pneumoniae, and Staphylococcus aureus. When following growing microcolonies on agarose pads over time, we observed a broad spectrum of species‐specific ecological interactions, ranging from mutualism to antagonism. For example, P. aeruginosa engaged in a mutually beneficial interaction with E. faecium but suffered from antagonism by E. coli. While we found little evidence for active directional growth towards or away from cohabitants, we observed that some pathogens increased growth in double layers in response to competition and that physical forces due to fast colony expansion had a major impact on fitness. Overall, our work provides an atlas of pathogen interactions, highlighting the diversity of potential species dynamics that may occur in polymicrobial infections. We discuss possible mechanisms driving pathogen interactions and offer predictions of how the different ecological interactions could affect virulence.
EZB‐type diffuse large B‐cell lymphoma cell lines have superior migration capabilities compared to MCD‐type
Authors: Sherif Marwa , Schäfer Hendrik , Scharf Sonja , van Oostendorp Vivienne , Sadeghi Shoreh Deli Aresu , Loth Andreas G. , Piel Matthieu , Hansmann Martin‐Leo , Oellerich Thomas , Fend Falko , Quintanilla‐Martinez Leticia , Hartmann Sylvia 
Published: October 2024

SummaryDiffuse large B‐cell lymphoma (DLBCL) represents the most prevalent aggressive B‐cell lymphoma. The group is heterogeneous and the outcome is variable. A variety of approaches have been employed with the objective of improving the stratification of DLBCL patients according to their prognosis, based on the cell of origin. Recently, distinct genetic subtypes of DLBCL have been identified. Given the importance of cell migration in immune cells, the objective of this study was to ascertain whether different genetic subtypes of DLBCL exhibit disparate migration abilities. MCD‐ and EZB‐type DLBCL cell lines were subjected to testing to ascertain their basal velocity in straight microchannels and their ability to overcome tight constrictions of 2 μm. The EZB‐type cell lines showed superior basal migration velocity and constriction passage time, and a similar trend was observed in live cell imaging of native human DLBCL tissue. In addition, MCD‐type DLBCL exhibited significantly elevated levels of nuclear lamin A/C, which is responsible for the stiffness of the nuclear envelope and could thus explain the disparate migration behaviours observed among these subtypes. Our study suggests that different genetic subtypes of DLBCL may not only influence the outcome after therapy but also the motility of the tumour cells.
Mechanisms and therapeutic potential of disulphidptosis in cancer
Authors: Li Yanhu , Zhang Haijun , Yang Fengguang , Zhu Daxue , Chen Shijie , Wang Zhaoheng , Wei Ziyan , Yang Zhili , Jia Jingwen , Zhang Yizhi , Wang Dongxin , Ma Mingdong , Kang Xuewen 
Published: October 2024

AbstractSLC7A11 plays a pivotal role in tumour development by facilitating cystine import to enhance glutathione synthesis and counteract oxidative stress. Disulphidptosis, an emerging form of cell death observed in cells with high expression of SLC7A11 under glucose deprivation, is regulated through reduction–oxidation reactions and disulphide bond formation. This process leads to contraction and collapse of the F‐actin cytoskeleton from the plasma membrane, ultimately resulting in cellular demise. Compared to other forms of cell death, disulphidptosis exhibits distinctive characteristics and regulatory mechanisms. This mechanism provides novel insights and innovative strategies for cancer treatment while also inspiring potential therapeutic approaches for other diseases. Our review focuses on elucidating the molecular mechanism underlying disulphidptosis and its connection with the actin cytoskeleton, identifying alternative metabolic forms of cell death, as well as offering insights into disulphidptosis‐based cancer therapy. A comprehensive understanding of disulphidptosis will contribute to our knowledge about fundamental cellular homeostasis and facilitate the development of groundbreaking therapies for disease treatment.
Key biomarkers in type 2 diabetes patients: A systematic review
Authors: Le Thien Ngoc , Bright Richard , Truong Vi‐Khanh , Li Jordan , Juneja Rajiv , Vasilev Krasimir 
Published: October 2024

AbstractType 2 diabetes mellitus (T2DM) is not just a local health issue but a significant global health burden, affecting patient outcomes and clinical management worldwide. Despite the wealth of studies reporting T2DM biomarkers, there is an urgent need for a comparative review. This review aims to provide a comprehensive analysis based on the reported T2DM biomarkers and how these are linked with other conditions, such as inflammation and wound healing. A comparative review was conducted on 24 001 study participants, including 10 024 T2DM patients and 13 977 controls (CTL; age 30–90 years). Four main profiles were extracted and analysed from the clinical reports over the past 11 years: haematological (1084 cases vs. 1458 CTL), protein (6753 cases vs. 9613 CTL), cytokine (975 cases vs. 1350 CTL) and lipid (1212 cases vs. 1556 CTL). This review provides a detailed analysis of the haematological profile in T2DM patients, highlighting fundamental changes such as increased white blood cells and platelet counts, accompanied by decreases in red blood cell counts and iron absorption. In the serum protein profile, a reduction in albumin and anti‐inflammatory cytokines was noted along with an increase in globulin levels and pro‐inflammatory cytokines. Furthermore, changes in lipid profiles were discussed, specifically the decreases in high‐density lipoprotein (HDL) and the increases in low‐density lipoprotein (LDL) and triglycerides. Understanding the changes in these four biomarker profiles is essential for developing innovative strategies to create diagnostic and prognostic tools for diabetes management.
Exploring cortical morphology biomarkers of amnesic mild cognitive impairment using novel fractal dimension‐based structural MRI analysis
Authors: Jao Chi‐Wen , Wu Yu‐Te , Yeh Jiann‐Horng , Tsai Yuh‐Feng , Hsiao Chen‐Yu , Lau Chi Ieong 
Published: October 2024

AbstractAmnestic mild cognitive impairment (aMCI) is considered as an intermediate stage of Alzheimer's disease, but no MRI biomarkers currently distinguish aMCI from healthy individuals effectively. Fractal dimension, a quantitative parameter, provides superior morphological information compared to conventional cortical thickness methods. Few studies have used cortical fractal dimension values to differentiate aMCI from healthy controls. In this study, we aim to build an automated discriminator for accurately distinguishing aMCI using fractal dimension measures of the cerebral cortex. Thirty aMCI patients and 30 health controls underwent structural MRI of the brain. First, the atrophy of participants' cortical sub‐regions of Desikan–Killiany cortical atlas was assessed using fractal dimension and cortical thickness. The fractal dimension is more sensitive than cortical thickness in reducing dimensional effects and may accurately reflect morphological changes of the cortex in aMCI. The aMCI group had significantly lower fractal dimension values in the bilateral temporal lobes, right limbic lobe and right parietal lobe, whereas they showed significantly lower cortical thickness values only in the bilateral temporal lobes. Fractal dimension analysis was able to depict most of the significantly different focal regions detected by cortical thickness, but additionally with more regions. Second, applying the measured fractal dimensions (and cortical thickness) of both cerebral hemispheres, an unsupervised discriminator was built for the aMCI and healthy controls. The proposed fractal dimension‐based method achieves 80.54% accuracy in discriminating aMCI from healthy controls. The fractal dimension appears to be a promising biomarker for cortical morphology changes that can discriminate patients with aMCI from healthy controls.
The Threefold Essence of Consciousness: Brentano versus Pfänder
Authors: Erhard Christopher 
Published: October 2024

AbstractBuilding on Uriah Kriegel's recent work on the varieties of consciousness, I consider the question of how many irreducible and fundamental kinds of consciousness there are. This is the project of a fundamental classification of consciousness (C‐taxonomy), which will be approached with reference to two figures from the (early) phenomenological tradition, i.e., Franz Brentano and Alexander Pfänder. Both philosophers advocate tripartite taxonomies, thereby opposing the still widely held view that only algedonic and sensory phenomenology exist. After explaining the project of C‐taxonomy, I discuss Brentano's and Pfänder's trialisms. My main aim is to show that Pfänder's view, according to which consciousness is exhausted by “object‐consciousness”, feeling, and striving, when supplemented by Husserlian ideas, is to be preferred to Brentano's classification, according to which the basic mental kinds are mere presentations, judgments, and “phenomena of love and hate”. I criticize Brentano's separation of doxastically neutral presentations from “positing” judgments, as well as his unification of feelings, emotions, desires, strivings, decisions, and volitions into one basic class. Finally, I reflect on the deeper reasons for Brentano's and Pfänder's divergent taxonomies, which are rooted in their different views of the “mark of the mental” and their different approaches to the active/passive distinction within the mental realm.
Native Plant Diversity Generates Microbial Legacies That Either Promote or Suppress Non‐Natives, Depending on Drought History
Authors: Tao Zhibin , Zhang Kaoping , Callaway Ragan M. , Siemann Evan , Liu Yanjie , Huang Wei 
Published: October 2024

ABSTRACTDiverse native plant communities resist non‐native plants more than species‐poor communities, in part through resource competition. The role of soil biota in diversity–invasibility relationships is poorly understood, although non‐native plants interact with soil biota during invasions. We tested the responses of non‐native plants to soil biota generated by different native plant diversities. We applied well‐watered and drought treatments in both conditioning and response phases to explore the effects of ‘historical’ and ‘contemporary’ environmental stresses. When generated in well‐watered soils, the microbial legacies from higher native diversity inhibited non‐native growth in well‐watered conditions. In contrast, when generated in drought‐treated soils, the microbial legacies from higher native diversity facilitated non‐native growth in well‐watered conditions. Contemporary drought eliminated microbial legacy effects on non‐native growth. We provide a new understanding of mechanisms behind diversity–invasibility relationships and demonstrate that temporal variation in environmental stress shapes relationships among native plant diversity, soil biota and non‐native plants.
Variation in Oceanographic Resistance of the World's Coastlines to Invasion by Species With Planktonic Dispersal
Authors: Byers James E. , Pringle James M. 
Published: October 2024

ABSTRACTFor marine species with planktonic dispersal, invasion of open ocean coastlines is impaired by the physical adversity of ocean currents moving larvae downstream and offshore. The extent species are affected by physical adversity depends on interactions of the currents with larval life history traits such as planktonic duration, depth and seasonality. Ecologists have struggled to understand how these traits expose species to adverse ocean currents and affect their ability to persist when introduced to novel habitat. We use a high‐resolution global ocean model to isolate the role of ocean currents on the persistence of a larval‐producing species introduced to every open coastline of the world. We find physical adversity to invasion varies globally by several orders of magnitude. Larval duration is the most influential life history trait because increased duration prolongs species' exposure to ocean currents. Furthermore, variation of physical adversity with life history elucidates how trade‐offs between dispersal traits vary globally.