bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Approaches to Herbicide and Bioherbicide Discovery
Authors: Duke Stephen O. , Twitty Alyssa , Baker Claire , Sands David , Boddy Louis , Travaini María Lucía , Sosa Gustavo , Polidore Alexander L.A. , Jhala Amit J. , Kloeber Jack M. , Jacq Xavier , Lieber Lucas , Varela Maria Celeste , Lazzaro Martina , Alessio Ana P. , Ladner Christopher C. , Fourches Denis , Bloch Itai , Gal Maayan , Gressel Jonathan , Putta Karthik , Phillip Yael , Shub Ifat , Ben-Chanoch Eyal , Dayan Franck E. 
Published: October 2024

AbstractDuring the past 30 yr an impasse has developed in the discovery and commercialization of synthetic herbicides with new molecular targets and novel chemistries. Similarly, there has been little success with bioherbicides, both microbial and chemical. These bioherbicides are needed to combat fast-growing herbicide resistance and to fulfill the need for more environmentally and toxicologically safe herbicides. In response to this substantial and growing opportunity, numerous start-up companies are utilizing novel approaches to provide new tools for weed management. These diverse new tools broaden the scope of discovery, encompassing advanced computational, bioinformatic, and imaging platforms; plant genome–editing and targeted protein degradation technologies; and machine learning and artificial intelligence (AI)-based strategies. This review contains summaries of the presentations of 10 such companies that took part in a symposium held at the WSSA annual meeting in 2024. Four of the companies are developing microbial bioherbicides or natural product–based herbicides, and the other six are using advanced technologies, such as AI, to accelerate the discovery of herbicides with novel molecular target sites or to develop non-GMO, herbicide-resistant crops.
Enhancing image recognition robustness in early weed detection through optimal training data curation
Authors: Matsuhashi Saeko , Oishi Yu , Koarai Akira , Sugiura Ryo 
Published: October 2024

AbstractUsing convolutional neural networks (CNNs) for image recognition is effective for early weed detection. However, the impact of training data curation, specifically concerning morphological changes during the early growth phases of weeds, on recognition robustness remains unclear. We focused on four weed species (giant ragweed [Ambrosia trifida L.], red morningglory [Ipomoea coccinea L.], pitted morningglory [Ipomoea lacunosa L.], and burcucumber [Sicyos angulatus L.]) with varying cotyledon and true leaf shapes. Creating 16 models in total, we employed four dataset patterns with different growth stage combinations, two image recognition algorithms (object detection: You Look Only Once [YOLO] v5 and image classification: Visual Geometry Group [VGG] 19), and two conditions regarding the number of species treated (four and two species). We evaluated the effects of growth stage training on weed recognition success using two datasets. One evaluation revealed superior results with a single class/species training dataset, achieving >90% average precision for detection and classification accuracy under most conditions. The other dataset revealed that merging different growth stages with different shapes as a class effectively prevented misrecognition among different species when using YOLOv5. Both results suggest that integrating different shapes in a plant species as a single class is effective for maintaining robust recognition success amid temporal morphological changes during the early growth stage. This finding not only enhances early detection of weed seedlings but also bolsters the robustness of general plant species identification.
Regionalization of Climate Elasticity Preserves Dooge's Complementary Relationship
Authors: Awasthi Chandramauli , Vogel Richard M. , Sankarasubramanian A. 
Published: October 2024

AbstractClimate elasticity of streamflow represents a nondimensional measure of the sensitivity of streamflow to climatic factors. Estimation of such elasticities from observational records has become an important alternative to scenario‐based methods of evaluating streamflow sensitivity to climate. Nearly all previous elasticity studies have used a definition of elasticity known as arc elasticity, which measures changes in streamflow about mean values of streamflow and climate. Using observational records in the western U.S., our findings reveal that elasticity definitions based on power law models lead to both regional and basin specific estimates of elasticity which are physically more realistic than estimates based on arc elasticity. Evaluating the ability of arc and power law elasticity estimators in reproducing Dooge's complementary relationship (DCR) between potential evapotranspiration and precipitation elasticities reveal that power law elasticities estimated from at‐site, panel, and hierarchical statistical models reproduce DCR, whereas corresponding estimators based on arc elasticity cannot reproduce DCR. Importantly, our regional elasticity formulations using panel and hierarchical formulations led to estimates of both regional and basin specific estimates of elasticities, enabling and contrasting streamflow sensitivity to climate across both basins and regions.
The Curie Surface and Lithospheric Thermal Structure in Mongolia‐Baikal Region
Authors: Hou Jing , Fang Jian , Wang Kai 
Published: October 2024

AbstractThe Mongolia‐Baikal region, located between the Siberia, North China, and Tarim cratons, exhibits the most pronounced lithospheric accretion and extension since the Phanerozoic. Despite its distance from plate boundaries, the region's notable tectonic activity underscores its importance for studying intraplate lithospheric deformation. However, its lithospheric thermal structure, particularly at high resolution, remains inadequately characterized. By integrating magnetic anomaly constraints with heat flow measurements, we have obtained a high‐resolution lithospheric thermal structure for the Mongolia‐Baikal region, revealing lithospheric thicknesses ranging from 60 to 180 km. The Curie depth and mantle heat flow also show diverse variations across different regions. Our results suggest that elevated mantle heat flow in the Baikal Rift Zone, coupled with a uniform Curie depth and minimal lithospheric thinning, likely reflects lithospheric weakening from mantle upwelling, facilitating rifting in the early stages of the rift's formation. Additionally, some localized lithospheric thermal variations identified in our results may be closely linked to the formation of the Hangai Plateau and the low magnetic anomalies observed in the Mongolia‐Okhotsk suture.
The role of QI collaboratives in neonatology
Authors: Bapat Roopali , Pearlman Stephen 
Published: October 2024

Abstract
Quality improvement collaboratives (QICs) use their collective experiences from participating centers to accelerate the translation of evidence into practice, resulting in reduced variation and improved clinical outcomes. There are several regional, national, and international QICs in neonatology. In this review, we discuss the framework and evaluate national QICs primarily based in US and share the contributions of selected studies. We found that the QICs in neonatology play a significant role in identification of target topics, developing best practices, improving provider knowledge, building QI capacity, and improving outcomes. The key strengths of QICs are that they produce more generalizable learnings, involve a larger patient population which enhances statistical analysis, and offer resources to smaller institutions. Limitations include institutions contributing unequally to the overall results, difficulty in interpreting results when multiple improvement strategies are applied simultaneously, and the possible lack of academic recognition for individual center leadership.
Metabolic regulation of the immune system in health and diseases: mechanisms and interventions
Authors: Hu Tengyue , Liu Chang-Hai , Lei Min , Zeng Qingmin , Li Li , Tang Hong , Zhang Nannan 
Published: October 2024

AbstractMetabolism, including glycolysis, oxidative phosphorylation, fatty acid oxidation, and other metabolic pathways, impacts the phenotypes and functions of immune cells. The metabolic regulation of the immune system is important in the pathogenesis and progression of numerous diseases, such as cancers, autoimmune diseases and metabolic diseases. The concept of immunometabolism was introduced over a decade ago to elucidate the intricate interplay between metabolism and immunity. The definition of immunometabolism has expanded from chronic low-grade inflammation in metabolic diseases to metabolic reprogramming of immune cells in various diseases. With immunometabolism being proposed and developed, the metabolic regulation of the immune system can be gradually summarized and becomes more and more clearer. In the context of many diseases including cancer, autoimmune diseases, metabolic diseases, and many other disease, metabolic reprogramming occurs in immune cells inducing proinflammatory or anti-inflammatory effects. The phenotypic and functional changes of immune cells caused by metabolic regulation further affect and development of diseases. Based on experimental results, targeting cellular metabolism of immune cells becomes a promising therapy. In this review, we focus on immune cells to introduce their metabolic pathways and metabolic reprogramming, and summarize how these metabolic pathways affect immune effects in the context of diseases. We thoroughly explore targets and treatments based on immunometabolism in existing studies. The challenges of translating experimental results into clinical applications in the field of immunometabolism are also summarized. We believe that a better understanding of immune regulation in health and diseases will improve the management of most diseases.
Excess dietary sugar and its impact on periodontal inflammation: a narrative review
Authors: Shanmugasundaram Shashikiran , Karmakar Shaswata 
Published: October 2024

Abstract
Introduction
Sugar is omnipresent in the current food environment and sugar consumption has drastically risen over the past century. Extensive evidence highlights the negative health consequences of consuming excess dietary sugars, leading the World Health Organization (WHO) and the American Heart Association (AHA) to devise guidelines to restrict sugar intake. According to the WHO’s Global Oral Health Status Report of 2022, oral diseases and severe periodontitis are a massive public health problem, and dietary sugars are a modifiable risk factor.

Methods
We conducted a literature review using key databases to summarise the health effects of excessive sugar consumption and their potential role in periodontal inflammation.

Results and conclusion
Available evidence suggests that excess dietary fructose and sucrose can cause low-grade systemic inflammation; and induce dysbiosis in both gut and the oral microbiota. Also, dietary sugar is potentially addictive and hypercaloric and its overconsumption can lead to obesity, metabolic syndrome, and other risk factors for periodontal inflammation. Hence, an unbalanced diet with excess dietary sugars holds the potential to initiate and aggravate periodontal inflammation. In the modern food environment that enables and facilitates a high-sugar diet, adopting a diverse diet and restricting sugar intake according to WHO and AHA guidelines seem beneficial to systemic and periodontal health. Since clinical evidence is limited, future research should study the effectiveness of dietary interventions that control sugar consumption in preventing and managing the global public health problem of periodontal inflammation.
Biomolecular condensates mediate bending and scission of endosome membranes
Authors: Wang Yanning , Li Shulin , Mokbel Marcel , May Alexander I. , Liang Zizhen , Zeng Yonglun , Wang Weiqi , Zhang Honghong , Yu Feifei , Sporbeck Katharina , Jiang Liwen , Aland Sebastian , Agudo-Canalejo Jaime , Knorr Roland L. , Fang Xiaofeng 
Published: October 2024

AbstractMultivesicular bodies are key endosomal compartments implicated in cellular quality control through their degradation of membrane-bound cargo proteins1–3. The ATP-consuming ESCRT protein machinery mediates the capture and engulfment of membrane-bound cargo proteins through invagination and scission of multivesicular-body membranes to form intraluminal vesicles4,5. Here we report that the plant ESCRT component FREE16 forms liquid-like condensates that associate with membranes to drive intraluminal vesicle formation. We use a minimal physical model, reconstitution experiments and in silico simulations to identify the dynamics of this process and describe intermediate morphologies of nascent intraluminal vesicles. Furthermore, we find that condensate-wetting-induced line tension forces and membrane asymmetries are sufficient to mediate scission of the membrane neck without the ESCRT protein machinery or ATP consumption. Genetic manipulation of the ESCRT pathway in several eukaryotes provides additional evidence for condensate-mediated membrane scission in vivo. We find that the interplay between condensate and machinery-mediated scission mechanisms is indispensable for osmotic stress tolerance in plants. We propose that condensate-mediated scission represents a previously undescribed scission mechanism that depends on the physicomolecular properties of the condensate and is involved in a range of trafficking processes. More generally, FREE1 condensate-mediated membrane scission in multivesicular-body biogenesis highlights the fundamental role of wetting in intracellular dynamics and organization.
Dual Leap Motion Controller 2: A Robust Dataset for Multi-view Hand Pose Recognition
Authors: Gil-Martín Manuel , Marini Marco Raoul , San-Segundo Rubén , Cinque Luigi 
Published: October 2024

AbstractThis paper presents Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset), a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion Controller 2 devices. This dataset encompasses a diverse range of hand poses, recorded from different angles to ensure comprehensive coverage. The dataset includes real images with the associated precise and automatic hand properties, such as landmark coordinates, velocities, orientations, and finger widths. This dataset has been meticulously designed and curated to maintain a balance in terms of subjects, hand poses, and the usage of right or left hand, ensuring fairness and parity. The content includes 714,000 instances from 21 subjects of 17 different hand poses (including real images and 247 associated hand properties). The multi-view setup is necessary to mitigate hand occlusion phenomena, ensuring continuous tracking and pose estimation required in real human-computer interaction applications. This dataset contributes to advancing the field of multimodal hand pose recognition by providing a valuable resource for developing advanced artificial intelligence human computer interfaces.
Assessment and forecasting of water ecological security and obstacle factor diagnosis in the Hexi Corridor of Northwest China
Authors: Sun Dongyuan , Ji Zonghu , Wang Yike , Zhang Wenrui 
Published: October 2024

AbstractThe water ecological security pattern is a core factor. A scientific, accurate, and practical evaluation of water ecological security provides a theoretical basis for regional water ecological management. Using water resource data from five cities in the Hexi Corridor of Gansu Province (Jiuquan (JQ), Jiayuguan (JYG), Zhangye (ZY), Jinchang (JC), and Wuwei (WW)) from 2006 to 2021, a water ecological security evaluation index system based on the PSR (pressure-state-response) framework was constructed, covering 27 factors related to water resources, socio-economics, and the ecological environment. The main obstacle factors of water ecological security were identified using the obstacle degree model, and the grey GM(1,1) model was employed to predict water ecological security. Results indicated that the comprehensive assessment index of water ecology in the Hexi Corridor increased from 2006 to 2021, showing a transition from relatively unsafe (0.319) to basic safety and then to relatively safe (0.672). The pressure and response systems were the main limiting factors affecting water ecological security in the Hexi Corridor. After a slight decline in 2008, the overall spatial distribution continued to rise, with WW City and ZY City leading since 2016. ZY had a higher safety grade proportion (25%) compared to other areas in the Hexi region. The pressure system was the most significant obstacle to water ecological security after 2006. Prediction results indicated that the comprehensive evaluation index of water ecological security would continue to rise annually from 2022 to 2031, reaching a very safe level by 2025. The evaluation results provide a scientific basis for ecological security and risk decision-making in the study area.
Modelling and optimization of TPMLMs with slotted stators based on Bayesian DNN
Authors: Wu Tao , Dai Peipei , Zhu Kai , Zhu Yachao 
Published: October 2024

AbstractThe Permanent Magnet Linear Motor (TPMLM) is widely used in different industrial fields. TPMLMs with slots and iron cores have high power density, but their thrust fluctuations and copper losses are significant. Due to the nonlinearity and saturation of magnetic circuits, their electromagnetic models are complex and the accuracy of numerical methods is very inferior. Substantially accurate modelling is crucial for motor optimisation design. In this paper, a data‐driven modelling method based on Bayesian optimisation deep neural network (DNN) is proposed to improve the accuracy of the electromagnetic field. The finite element (FE) modelling under different structural parameters is analysed and provides a training dataset for DNN. Then, a multi‐objective optimisation problem for the slotted TPMLM is carried out based on the multi‐objective black hole algorithm. Compared to the original design, the average thrust of TPMLM increased by 49.37%, the thrust fluctuation percentage decreased by 9.59%, and the coil copper consumption percentage decreased by 2.64%. The results show that the improved DNN model has very high modelling accuracy, providing a new way for motor design and optimisation.
Les directives anticipées : une mesure de prévention face au désir de suicide
Authors: Charazac-Brunel Marguerite 
Published: October 2024

En France, la rédaction des directives anticipées suscite des réactions d’indifférence ou de rejet. Ces directives anticipées sont le plus souvent proposées sous forme de questionnaires ne concernant que des actes médicaux.
Les directives anticipées exposent des choix pour une fin de vie qui s’écarte d’un projet de mort. Elles peuvent éviter au sujet d’être confronté à des mesures auxquelles il ne pourrait échapper que par le suicide, assisté ou non. Le sujet peut aussi inscrire dans ses mesures un accompagnement dans des soins et des présences humaines bienveillantes, qui soulagent les douleurs psychiques et physiques. Les directives anticipées permettent le recours aux soins palliatifs.
Terahertz single/dual beam scanning with tunable field of view by cascaded metasurfaces
Authors: Xu Haifeng , Cheng Jierong , Guan Shengnan , Li Fan , Wang Xianghui , Chang Shengjiang 
Published: October 2024

Dynamic beam scanning with a dynamically tunable beam number, beam direction, and beam polarization remains a challenge in the terahertz gap, which is urgently needed for terahertz radar, next-generation wireless communication, and imaging applications. Different from programmable metasurfaces with element-level phase control, the beam direction is dynamically controlled by two cascaded all-dielectric metasurfaces during in-plane rotation. For a pair of circularly polarized beams with opposite handedness, the scanning field of view (FOV) can be the same or different according to the independent phase modulation in both layers and for both polarization states. Switchable single-beam and dual-beam scanning is achieved by controlling the incident polarization, which covers the ±60° FOV at 0.291 THz with an angular step of 1° and an average gain of 16.2 dBi. The output beam is quasi-circular polarized with an average ellipticity of 0.83. Single beam scanning along a Fibonacci spiral trajectory and dual beam scanning along symmetric and asymmetric trajectories are experimentally validated. Different beam scanning processes are recorded using a terahertz camera, which show good agreement with the theoretical prediction. The wide field-of-view continuous beam scanning with a switchable number of beams and a flexible FOV may have a significant impact on the development of terahertz radar and terahertz intelligent antennas.
Extending the Decreased Activation Hypothesis
Authors: Di Domenico Elisa , Comunello Diletta , Baroncini Ioli 
Published: October 2024

Abstract
Some studies in the field of anaphora resolution have highlighted the fact that even speakers of
two nullsubject languages may over-use overt subject pronouns in their null subject second language. Here, we analyze
the overt subject pronouns produced in Italian by a group of near-native L2 speakers with L1 Serbian, compared to
those produced by a group of near-native L2 speakers with L1 Greek, and a group of Italian native speakers. Results
reveal that Serbian L2ers, like Greek L2ers, over-produce overt subject pronouns, using them in the context of topic
continuity. Overt subject pronouns which maintain the current topic are produced when two referents are active rather
than one, supporting the view that referential choices are partially determined by decreased referent activation.
UG-as-Guide in selection and reassembly of an uninterpretable feature in L2 acquisition
of wh-questions
Authors: Kimura Takayuki , Wakabayashi Shigenori 
Published: October 2024

Abstract
This study explores Universal Grammar (UG) in second language (L2) acquisition, focusing on
uninterpretable features. We present the UG-as-Guide (UGG) model, which contends
that UG plays a pivotal role in eliminating UG-incompatible properties. We investigated L2 English wh-questions in
Chinese-speaking and Japanese-speaking learners through an acceptability judgment task and an elicited production
task. The data revealed that lower-intermediate learners transfer optional movement operations from their native
languages, and apply these operations obligatorily, contrary to UG principles, while upper-intermediate learners
display a shift towards the relevant syntactic knowledge of native speakers. This supports the UGG model, indicating
that initially adopted UG-incompatible operations are subsequently adjusted to align with UG principles, underscoring
the interplay between UG and interlanguage in L2 acquisition.