bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel reliability assessment method for distribution networks based on linear programming considering distribution automation and distributed generation
Authors: Li Junhui , Kong Huichao , Wang Wenzhong , Sun Liming , Xiao Wencong , Wang Ziyao 
Published: August 2023

AbstractThe primary methods of assessing the reliability of distribution networks comprise analytic and simulation methods. However, both approaches require the identification and computation of network topology, which precludes their expression in explicit, continuous functions, consequently impeding the incorporation of reliability constraints into planning and operational optimization models. To tackle this restriction, the present work puts forth a novel linear‐programming‐based reliability assessment method that is mathematically formulated, considering distribution automation (DA) and distributed generations (DGs), consisting of both conventional and renewable energy sources. In this paper, the clustering method and the scenario‐based method are used to model DGs. Next, a mixed integer linear programming (MILP) model, considering the DA and DGs with the System Average Interruption Duration Index (SAIDI) as the optimization objective, is proposed. Finally, the feasibility and effectiveness of the proposed method are verified in a 37‐node distribution network system.
Hole‐free sparse array for highly efficient direction of arrival estimation: Enhanced uniform difference co‐array
Authors: Zhang Baohua , Liu Guangyi , Li Ou , Shen Zhixiang , Mei Fengtong 
Published: August 2023

AbstractSparse arrays with sensors can offer number of degrees of freedom by exploiting the difference co‐array that can be obtained from the second‐order statistics of received signals. In this article, a novel sparse array with seven subarrays (SA‐7S) by carefully assembling the subarrays is proposed, and the resulting SA‐7S can generate a hole‐free uniform difference co‐array. The sensor locations of the SA‐7S array are uniquely determined by a closed‐form expression and the number of achievable degrees of freedom is analytically presented as well. Theoretical analysis shows that the SA‐7S can provide a higher number of degrees of freedom than most sparse linear arrays. Simulations are performed to validate the advantage of the proposed array in terms of uDOFs, mutual coupling and direction of arrival estimation performance.
Retail pricing, cashback and refund decisions in a supply chain with e-shop and direct channels
Authors: Taleizadeh Ata Allah , Mahmoudzade Varzi Alireza , Akbarzadeh Khorshidi Hadi , Noori-daryan Mahsa 
Published: August 2023

AbstractIn this research, we are trying to design a model using incentive policies in a supply chain in which a store can sell either directly or through cash-back websites. The cash-back website returns a percentage of the paid price to the customer by sending a special link, created by this website based on the incentive policy. Although the extent of the impact of these websites on the sale rate, empirically or theoretically, is still uncertain, we know that this policy can have a positive impact on the online shopping and there are many customers who are sensitive to the price. The store’s website, in addition to the incentive policies, considers refund. Empirically, the refund policy provides a psychological comfort for customers. The use of incentive policies usually attracts more customers, but on the other hand, it reduces profits. The main purpose of this study is to examine the impact of the use of incentive policies and how these policies apply to the e-shop and other players in supply chain. Another goal of this study is to examine the behavior of the e-shop to create a cash-back website. This study examines the centralized and decentralized states.
Activity difference of three labdane diterpenoids on human constitutive androstane receptor
Authors: Sekiguchi Mitsuhiro , Fujinami Yui , Takado Keiyu , Kimoto Yuu , Higashimura Yasuki 
Published: August 2023

ABSTRACT
The constitutive androstane receptor (CAR) regulates enzyme transcription related to drug metabolism; therefore, natural compound clarification in food that interacts with CAR is significant for drug development. We revealed that 13-epimanool, which is a compound found in the common sage, is bound to hCAR based on differential scanning fluorometry (DSF) measurements using recombinant hCAR protein. Similar labdane diterpenoids were examined, which revealed that manool and sclareol, which were both natural compounds contained in herbs, are bound to hCAR. They exhibited different effects for CAR activity in the luciferase assay despite the structural similarity. Manool was a partial agonist, 13-epimanool was a weak partial agonist, and sclareol was an antagonist. The activity of hCAR may be regulated by slight differences in the bound compound.
Identification and mechanistic investigation of ellagitannins from Osbeckia octandra that attenuate liver fibrosis via the TGF-β/SMAD signaling pathway
Authors: Bogahawaththa Sudarma , Kawamura Tomoaki , Bandaranayake Udari , Hirakawa Tomoaki , Yamada Goki , Ishino Hana , Hirohashi Tsuzumi , Kawaguchi Shin-ichi , Wijesundera Kavindra K , Wijayagunawardane Missaka P B , Ishimaru Kanji , Kodithuwakku Suranga P , Tsujita Tadayuki 
Published: August 2023

ABSTRACT
Fibrosis is a major problem in chronic liver disease with limited treatment options due to its complex nature. Herbal medicines are often used as an alternative. The aim of this study was to investigate the therapeutic potential of Osbeckia octandra and to identify its active compounds and regulatory pathways. The effects of crude leaf suspension and boiled leaf extract were investigated in an animal model, and the extract was found to be the more effective treatment. Three major bioactive compounds, pedunculagin, casuarinin, and gallic acid, were isolated from the extract using the hepatic stellate cell line, LX-2-based antifibrotic effect evaluation system. The results showed that all these compounds ameliorated LX-2 in fibrotic state. This inhibitory mechanism was confirmed through the TGF-β/SMAD signaling pathway. Collectively, the presence of these compounds in O. octandra suggests its potential as a treatment for liver fibrosis.
Predicting thermostability difference between cellular protein orthologs
Authors: Fang Jianwen 
Published: August 2023

Abstract

Motivation
Protein thermostability is of great interest, both in theory and in practice.

Results
This study compared orthologous proteins with different cellular thermostability. A large number of physicochemical properties of protein were calculated and used to develop a series of machine learning models for predicting cellular thermostability differences between orthologous proteins. Most of the important features in these models are also highly correlated to relative cellular thermostability. A comparison between the present study with previous comparison of orthologous proteins from thermophilic and mesophilic organisms found that most highly correlated features are consistent in these studies, suggesting they may be important to protein thermostability.

Availability and implementation
Data freely available for download at https://github.com/fangj3/cellular-protein-thermostability-dataset.
E-AHPBA–ESSO–ESSR Innsbruck consensus guidelines for preoperative liver function assessment before hepatectomy
Authors: Primavesi Florian , Maglione Manuel , Cipriani Federica , Denecke Timm , Oberkofler Christian E , Starlinger Patrick , Dasari Bobby V M , Heil Jan , Sgarbura Olivia , Søreide Kjetil , Diaz-Nieto Rafael , Fondevila Constantino , Frampton Adam E , Geisel Dominik , Henninger Benjamin , Hessheimer Amelia J , Lesurtel Mickaël , Mole Damian , Öllinger Robert , Olthof Pim , Reiberger Thomas , Schnitzbauer Andreas A , Schwarz Christoph , Sparrelid Ernesto , Stockmann Martin , Truant Stéphanie , Aldrighetti Luca , Braunwarth Eva , D’Hondt Mathieu , DeOliveira Michelle L , Erdmann Joris , Fuks David , Gruenberger Thomas , Kaczirek Klaus , Malik Hassan , Öfner Dietmar , Rahbari Nuh N , Göbel Georg , Siriwardena Ajith K , Stättner Stefan 
Published: August 2023

Abstract

Background
Posthepatectomy liver failure (PHLF) contributes significantly to morbidity and mortality after liver surgery. Standardized assessment of preoperative liver function is crucial to identify patients at risk. These European consensus guidelines provide guidance for preoperative patient assessment.

Methods
A modified Delphi approach was used to achieve consensus. The expert panel consisted of hepatobiliary surgeons, radiologists, nuclear medicine specialists, and hepatologists. The guideline process was supervised by a methodologist and reviewed by a patient representative. A systematic literature search was performed in PubMed/MEDLINE, the Cochrane library, and the WHO International Clinical Trials Registry. Evidence assessment and statement development followed Scottish Intercollegiate Guidelines Network methodology.

Results
Based on 271 publications covering 4 key areas, 21 statements (at least 85 per cent agreement) were produced (median level of evidence 2− to 2+). Only a few systematic reviews (2++) and one RCT (1+) were identified. Preoperative liver function assessment should be considered before complex resections, and in patients with suspected or known underlying liver disease, or chemotherapy-associated or drug-induced liver injury. Clinical assessment and blood-based scores reflecting liver function or portal hypertension (for example albumin/bilirubin, platelet count) aid in identifying risk of PHLF. Volumetry of the future liver remnant represents the foundation for assessment, and can be combined with indocyanine green clearance or LiMAx® according to local expertise and availability. Functional MRI and liver scintigraphy are alternatives, combining FLR volume and function in one examination.

Conclusion
These guidelines reflect established methods to assess preoperative liver function and PHLF risk, and have uncovered evidence gaps of interest for future research.
Predictive Taxonomy Analytics (LASSO): Predicting Outcome Types of Cyber Breach
Authors: Goh Jing Rong , Wang Shaun S , Harel Yaniv , Toh Gabriel 
Published: August 2023

AbstractCyber breaches are costly for the global economy and extensive efforts have gone into improving the cybersecurity infrastructure. There are numerous types of cyber breaches that vary greatly in terms of cause and impact, resulting in an extensive literature for individual cyber breach type. Our paper seeks to provide a general framework that can be easily applied to analyze different types of cyber breaches. Our framework is inspired by the taxonomy approach in the cybersecurity literature, where it was proposed that an effective set of taxonomy can provide a direction on supporting improved decision-making in cyber risk management and selecting relevant cybersecurity controls. Our paper extends upon the current approach by using this taxonomy to model and predict the associated breach outcomes, given the occurrence of a cyber breach. Specifically, our paper applies least absolute shrinkage and selection operator (LASSO) within a taxonomy framework. Using a proprietary database of known cyber breaches, we show that this analytical tool performs well in out-of-sample predictions and a stable model that generates consistent predictions. For each cyber breach outcome type, we also provide the list of keywords that are useful in predicting the outcome type. We envision researchers, insurers, underwriters, and cybersecurity professionals can use (or expand on) our list of keywords, or use our method to yield their own set of keywords. Practitioners who seek to mitigate their cyber risk may use these keywords as a guide towards the specific attack surfaces that might be most susceptible to the corresponding breach. Our paper lays the groundwork for researchers to better apply the taxonomy approach within cybersecurity research. We also perform regression analysis to identify industries that are most susceptible to various cyber breach events. Our results corroborate with the literature, where some industries are indeed more likely to be impacted by certain types of cyberattacks.
Perceived Fairness and Consequences of Affirmative Action Policies
Authors: Schildberg-Hörisch Hannah , Schwarz Marco A , Trieu Chi , Willrodt Jana 
Published: August 2023

Abstract
Debates about affirmative action often revolve around fairness. In a laboratory experiment, we study three quota rules in tournaments that favour individuals whose performance is low, either due to discrimination, low productivity, or choice of a short working time. Affirmative action favouring discriminated individuals is perceived as fairest, followed by that targeting individuals with a short working time, while favouring low-productivity individuals is not perceived as fairer than an absence of affirmative action. Higher fairness perceptions coincide with a higher willingness to compete and less retaliation against winners, underlining that fairness perceptions matter for the consequences of affirmative action.
Plant growth-promoting endophyte Nigrospora oryzae mitigates abiotic stress in rice (Oryza sativa L.)
Authors: Sodhi Gurleen Kaur , Saxena Sanjai 
Published: August 2023

Abstract
Climate change has severely impacted crop productivity. Nascent technologies, such as employing endophytic fungi to induce crop adaptogenic changes, are being explored. In this study, 62 isolates of fungi existing as endophytes were recovered from different parts of a drought-resistant rice variety and screened for salinity and drought tolerance. Nigrospora oryzae #2OSTUR9a exhibited in vitro antioxidant potential, indole acetic acid (351.01 ± 7.11 µg/mL), phosphate solubilisation (PI 1.115 ± 0.02), siderophore (72.57% ± 0.19%) and 1-aminocyclopropane-1-carboxylate deaminase production (305.36 ± 0.80 nmol α-ketobutyrate/mg/h). To the best of our knowledge, this is the first report on salinity and drought stress mitigation in rice plants by endophytic N. oryzae. In treated plants under salinity stress, the relative water, chlorophyll, phenolic and osmolyte content increased by 48.39%, 30.94%, 25.32% and 43.67%, respectively, compared with their respective controls. A similar trend was observed under drought stress, where the above parameters increased by 50.31%, 39.47%, 32.95% and 50.42%, respectively. Additionally, the antioxidant status of the treated plants was much higher because of the enhanced antioxidant enzymes and reduced lipid peroxidation. Our findings indicate the ability of N. oryzae to effectively mitigate the impact of stress, thereby enabling the rice plant to sustain stress conditions.
Sentinel-2 time series: a promising tool in monitoring temperate species spring phenology
Authors: Grabska-Szwagrzyk Ewa , Tymińska-Czabańska Luiza 
Published: August 2023

Abstract
The changes in vegetation phenology observed in recent decades may have significant implications for carbon, water, and energy fluxes as well as ecosystem productivity. Phenology is an important indicator of a changing environment, and studying species-specific phenology can help understand their responses to varying climate conditions. While satellite-based phenology provides long-term information for large areas, it describes different traits than ground-based phenology. Nonetheless, emerging research on remote sensing-based phenology has shown its usefulness in determining inter- and intra-specific differences, as well as interannual changes. In this study, we examined the potential of the Sentinel-2 time series from 2018 to 2022 in assessing the spring phenology of seven temperate tree species. Three vegetation indices were calculated, namely, the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index, the Normalized Difference Vegetation Index, and the Enhanced Vegetation Index. We examined interspecific variations in the start of the season (SOS) and interannual variability. Additionally, we explored intraspecific variations in spring phenology among common beech stands across an elevation gradient. Our findings reveal substantial differences in Sentinel-2-derived phenology across species, with larch, birch, and hornbeam displaying an earlier SOS compared with oak and alder. The latest SOS dates were observed in 2021, whereas the earliest occurred in 2018 and the difference exceeded 20 days. It corresponded to the diverse spring meteorological conditions in the examined years, with the highest heat accumulation in 2018 and the lowest in 2021. Additionally, the three examined indices showed different phenological curves, with MERIS Terrestrial Chlorophyll Index exhibiting distinct patterns with a delayed start of the spring increase compared with the other two indices. The relationship between elevation and SOS dates was generally positive, but there was high variability in some years. The earliest SOS dates occurred at ~600 m a.s.l. and larger interannual variations were observed for stands located on the highest elevations. These results underscore the potential of Sentinel-2 in monitoring the spring phenology of temperate species, offering insights into inter- and intra-specific variations, as well as year-to-year changes. In the future, longer Sentinel-2 time series will improve estimates and facilitate the tracking of long-term changes. Such advancements hold relevance for forest management, carbon budget predictions, and understanding ecosystem dynamics.
Hydrological and volcano-related gravity signals at Mt. Somma–Vesuvius from ∼20 yr of time-lapse gravity monitoring: implications for volcano quiescence
Authors: Pivetta T , Riccardi U , Ricciardi G , Carlino S 
Published: August 2023

SUMMARY
We report on about 20 yr of relative gravity measurements, acquired on Mt. Somma–Vesuvius volcano in order to investigate the hydrological and volcano-tectonic processes controlling the present-day activity of the volcano. The retrieved long-term field of time gravity change (2003–2022) shows a pattern essentially related to the subsidence, which have affected the central part of the volcano, as detected by the permanent GNSS network and InSAR data. After reducing the observations for the effect of vertical deformation, no significant residuals are found, indicating no significant mass accumulation or loss within the volcanic system. In the north-western sector of the study area, at the border of the volcano edifice, however, significant residual positive gravity changes are detected which are associated to ground-water rebound after years of intense exploitation of the aquifers. On the seasonal timescale, we find that stations within the caldera rim are affected by the seasonal hydrological effects, while the gravity stations at the base of the Vesuvius show a less clear correlation. Furthermore, within the caldera rim a multiyear gravity transient is detected with an increase phase lasting about 4 yr followed by a slower decrease phase. Analysis of rain data seem to exclude a hydrological origin, hence, we hypothesize a deeper source related to the geothermal activity, which can be present even if the volcano is in a quiescent state. We infer the depth and volume of the source by inverting the spatial pattern of the gravity field at the peak of the transient. A volume of fluids of 9.5 × 107 m3 with density of 1000 kg m−3 at 2.3 km depth is capable to fit reasonably well the observations. To explain the gravity transient, simple synthetic models are produced, that simulate the ascent of fluids from a deep reservoir up to the depth of 2.3 km and a successive diffusion within the carbonate aquifer hosting the geothermal system. The whole process appears to not significantly affect the seismicity rate and the deformation of the volcano. This study demonstrates the importance of a 4-D gravity monitoring of a volcano to understand its complex gravity signals that cover different spatial and temporal scales. Discriminating the different contributions that mix up in the observed gravity changes, in particular those due to hydrologic/anthropogenic activities form those due to the geothermal dynamics, is fundamental for a complete and reliable evaluation of the volcano state.
Characterizing hydrological droughts within three watersheds in Yunnan, China from GNSS-inferred terrestrial water storage changes constrained by GRACE data
Authors: Zhu Hai , Chen Kejie , Hu Shunqiang , Wei Guoguang , Chai Haishan , Wang Tan 
Published: August 2023

SUMMARY
The spatiotemporal evolution of drought is often modulated by climate and watershed characteristics. While numerous drought studies using space geodesy have been conducted in Yunnan, the scarcity and limited sensitivity of observation instruments have hindered the development of watershed-scale drought analyses. This study aims to accurately characterize hydrological droughts within three watersheds in Yunnan from 2011 January to 2021 May by a Global Navigation Satellite System (GNSS) inversion constrained by Gravity Recovery and Climate Experiment (GRACE) data. Initially, we employed Variational Bayesian Independent Component Analysis to reconstruct the 3-D crustal deformations at 43 GNSS stations resulting from hydrological loadings. We then computed the time-series of vertical displacements caused by GRACE Mascon water products. Subsequently, utilizing the method of least squares, we derived the scaling factors between the vertical crustal displacements (VCD) obtained from GNSS observations and the synthetic displacements derived from GRACE data. By combing scaling-factor-adjusted VCDs derived from GRACE with the GNSS data, we have obtained accurate estimates of water storage for three Yunnan watersheds. Finally, we identified drought events characterized by abnormal decreases in water storage and used climatological methods to quantitatively describe the severity, extent and recovery of these drought extremes. Additionally, we evaluated the influence of various earth elastic structures on the scaling factors, and demonstrated their advantageous contribution to aligning GNSS and GRACE observations. In conclusion, our study introduces a novel approach to integrate GNSS and GRACE retrievals, allowing for accurate characterization of droughts in data-scarce regions, which cannot be achieved by GNSS or GRACE individually. Moreover, our results underscore the potential benefits of watershed-scale drought monitoring and analysis for effective water resource management.