bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic significance of glucose‐lipid metabolic index in pancreatic cancer patients with diabetes mellitus
Authors: Wang Hailiang , Ruan Shiye , Wu Zelong , Yan Qian , Chen Yubin , Cui Jinwei , Zhang Zhongyan , Huang Shanzhou , Hou Baohua , Zhang Chuanzhao 
Published: March 2024

AbstractBackgroundThe incidence of pancreatic cancer (PC) is higher in diabetic patients due to disturbances in glucose and lipid metabolism caused by insulin resistance (IR). However, the effect of diabetes as well as IR on the prognosis of PC patients remains inconclusive. Our study aims to assess the impact of IR on the prognosis of PC patients with diabetes.MethodsWe conducted a retrospective analysis of 172 PC patients with diabetes in our institute from 2015 to 2021. Prognostic assessment was performed using univariate/multifactorial analysis and survival analysis. The predictive efficacy of metabolic indices was compared using receiver operator characteristic (ROC) curve analysis.ResultsOne hundred twenty‐one of 172 patients died during follow‐up, with a median follow‐up of 477 days and a median overall survival (OS) of 270 days. Survival analysis showed a significant difference in OS by IR related parameters, which were triglyceride‐glucose index (TyG), triglyceride‐glucose index‐body mass index (TyG‐BMI), and triglyceride/high‐density lipoprotein cholesterol ratio (TG/HDL‐c). The ROC curve indicated that TyG, TyG‐BMI, and TG/HDL‐c had prognostic efficacy for PC with diabetes. We next optimized TyG‐BMI and obtained a new parameter, namely glucose‐lipid metabolism index (GLMI), and the patients were classified into GLMI low group and high group based on the calculated cutoff value. The GLMI high group had higher TyG, TyG‐BMI, TyG/HDL‐c, BMI, TG, total cholesterol (TC), TC/HDL‐c, fasting plasma glucose, CA199, and more advanced tumor stage compared to low group. Univariate and multivariate analyses showed that GLMI was an independent prognostic factor. Furthermore, the patients of GLMI high group had worse OS compared to low group and the ROC curves showed GLMI had better predictive ability than TyG and TyG‐BMI.ConclusionsIR is associated with the outcome of PC patients with diabetes and higher level of IR indicates worse prognosis. GLMI has a good predictive value for PC with diabetes.
A literature review of outcome and treatment options after acquired brain injury: Suggestions for adult offenders using knowledge from the general population
Authors: de Geus Esther Q. J. , Milders Maarten V. , van Horn Joan E. , Jonker Frank A. , Fassaert Thijs , Hutten Juliette C. , Kuipers Femke , Grimbergen Christel , Noordermeer Siri D. S. 
Published: March 2024

AbstractBackgroundAcquired brain injury (ABI) is a major health problem, often with negative effects on behaviour and mental health as well as cognition. Prevalence of ABI is exceptionally high among offenders and increases their re‐offending risk. Information on risk factors for ABI and its outcomes among offenders that could guide effective treatment for them is, nevertheless, scarce and dispersed. However, there is a more substantial literature about the general population that could inform work with brain‐injured offenders, especially when selecting for samples or subgroups with similar relevant characteristics, such as lower socio‐economic status (SES), pre‐injury lower tested intelligence score (<85) and pre‐injury mental health problems.AimsTo explore brain injury data from non‐offender samples of otherwise similar socio‐economic and mental health and ability characteristics to offenders then, first, to describe their untreated outcomes and, secondly, outcomes after frequently used interventions in these circumstances, noting factors associated with their effectiveness.MethodThree databases were systematically searched for the years 2010–2022; first, using terms for brain injury or damage and cognitive (dys)function, mental health or quality of life. Second, in a separate search, we used these terms and terms for interventions and rehabilitation. In the second review, studies were selected for clear, distinguishable data on age, sex, SES and lifestyle factors to facilitate inferences for offenders. A narrative analytical approach was adopted for both reviews.ResultsSamples with characteristics that are typical in offender groups, including lower SES, lower pre‐injury intelligence quotient (<85), prior cognitive impairments and prior mental health problems, had poorer cognitive and behavioural outcomes following ABI than those without such additional problems, together with lower treatment adherence. With respect to treatment, adequate motivation and self‐awareness were associated with better cognitive and behavioural outcomes than when these were low or absent, regardless of the outcome measured.ConclusionsMore complex pre‐injury mental health problems and social disadvantages typical of offenders are associated with poorer post‐brain injury recovery. This paper adds to practical knowledge by bringing together work that follows specific outcome trajectories. Overall, succesful ABI‐interventions in the general population that aim at pre‐injury difficulties comparable to those seen among offenders, show that personalising injury‐specific treatments and taking account of these difficulties, maximised positive outcomes.
Nanoporous Au/Ag Catalyzed Benzylic sp3C−H Oxidation of 9H‐Fluorene Derivatives and Similar Molecules with TBHP
Authors: Thayssen Jan , Riedel Wiebke , Risse Thomas , Staubitz Anne , Wittstock Arne 
Published: March 2024

AbstractNanoporous gold (npAu) was tested as a catalyst for oxidations of various benzylic sp3‐carbon positions in 9H‐fluorene derivatives and similar hydrocarbons using tertbutyl hydroperoxide (TBHP) as an oxidant. The silver content in the npAu catalyst had a major influence on the overall conversion: Lower silver amounts (0.53 mol%) led to higher conversions, whereas higher amounts of silver increasingly resulted in the disproportionation of TBHP as a competing reaction. Because residual silver from the bulk alloy was oxidized by TBHP and leached into the solution during the reaction, the Ag content diminished over time. Therefore, the recycling of the catalyst had a positive effect on the conversion after each use. Using electron paramagnetic resonance (EPR) spectroscopy, the formation of radicals from TBHP by npAu was evidenced indicating a radical‐based reaction mechanism which was further elucidated by NMR spectroscopic and GC‐MS (trace) product analysis. Subsequent oxidations of benzylic sp3‐carbon positions gave good to excellent conversions and chemoselectivities featuring npAu as a suitable catalyst for such reactions.
A survey on lattice‐based security and authentication schemes for smart‐grid networks in the post‐quantum era
Authors: Shekhawat Hema , Gupta Daya Sagar 
Published: March 2024

SummaryThe present scenario witnesses “the second quantum revolution,” which has enabled the development of revolutionary novel quantum tools. Quantum computing endeavors to establish higher computing standards that can potentially solve complex structures. Post‐quantum cryptography (PQC) has emerged as one of the new domains of cryptography, which is resilient to quantum attacks owing to the revolution in quantum computing. To ensure quantum security, the lattice‐based cryptosystem (LB‐cryptosystem) is one of the promising tools of PQC to address quantum‐based threats. The traditional security algorithms, such as RSA and Diffie–Hellman (DH), are strong enough to resist present security threats. However, it has been predicted that quantum technologies have the capability to break the security of most traditional algorithms whose security is based on prime factorization and DH‐type hard problems. Therefore, research is currently focused on addressing the security and privacy threats by using LB‐cryptosystems to secure various applications, organizations' data, and information infrastructure in the quantum era. The purpose of this article is to investigate recent advances in LB‐cryptosystems that may allow the design of secure models for smart‐grid networks (SGNs) against existing and future quantum attacks. SGNs have been explored as the bi‐directional assimilation of communication in terms of electricity generation, transmission, allocation, and utilization. This survey provides a comprehensive overview of LB‐cryptosystems, as well as their potential applications in securing SGNs. Lastly, the article summarizes the various PQC primitives, NIST selected algorithms, open‐source tools along with their packages, and various PQC industrial initiatives, and also compares traditional cryptographic schemes with other PQC.
Theoretical Characterization of Germanene Doped with Main Group Elements
Authors: Denis Pablo A. , Laranjeira Jose A. S. , Sambrano Julio R. 
Published: March 2024

AbstractHerein, using density functional calculations, we studied the substitutional doping in germanene with B, C, N, O, Al, Si, P, S, Ga, As, and Se. Nitrogen is the element that can be more easily incorporated into the germanene lattice, followed by silicon, carbon, and boron. Almost all dopants were efficient in opening a band‐gap. Yet, caution should be taken because this opening strongly depends on the dopant concentration. Carbon and sulfur were the most effective elements for band‐gap opening. C‐doping generates the lowest effective masses (me*/m0=mh*/m0=0.09). The equal me and mh values indicate an intrinsic semiconductor behavior, a characteristic shared by the chalcogenides‐doped systems. Additionally, we performed a detailed analysis of the preferred disposition of dopants in the germanene lattice. In contrast with the results obtained for graphene, when multiple atoms are introduced in the germanene framework, they do not prefer to be agglomerated, adopting a random disposition, except in the case of sulfur and nitrogen, which favored specific dopant arrangement. Two sulfur dopants showed a notorious preference for replacing a Ge−Ge bond but without forming an S−S linkage, thus adopting a thiophene‐like structure that may impart germanene exciting properties, as observed for S and N codoped graphene.
Modelling Photocatalytic N2 Reduction to Ammonia: Where We Stand and Where We Are Going
Authors: Žibert Taja , Likozar Blaž , Huš Matej 
Published: March 2024

AbstractArtificial ammonia synthesis via the Haber‐Bosch process is environmentally problematic due to the high energy consumption and corresponding CO
emissions, produced during the reaction and before hand in hydrogen production upon methane steam reforming. Photocatalytic nitrogen fixation as a greener alternative to the conventional Haber‐Bosch process enables us to perform nitrogen reduction reaction (NRR) under mild conditions, harnessing light as the energy source. Herein, we systematically review first‐principles calculations used to determine the electronic/optical properties of photocatalysts, N2 adsorption and to expound possible NRR mechanisms. The most commonly studied photocatalysts for nitrogen fixation are usually modified with dopants, defects, co‐catalysts and Z‐scheme heterojunctions to prevent charge carrier recombination, improve charge separation efficiency and adjust a band gap to for utilizing a broader light spectrum. Most studies at the atomistic level of modeling are grounded upon density functional theory (DFT) calculations, wholly foregoing excitation effects paramount in photocatalysis. Hence, there is a dire need to consider methods beyond DFT to study the excited state properties more accurately. Furthermore, a few studies have been examined, which include higher level kinetics and macroscale simulations. Ultimately, we show there is still ample room for improvement with regard to first principles calculations and their integration in multiscale models.
Multi‐Factor Coral Disease Risk: A new product for early warning and management
Authors: Caldwell Jamie M. , Liu Gang , Geiger Erick , Heron Scott F. , Eakin C. Mark , De La Cour Jacqueline , Greene Austin , Raymundo Laurie , Dryden Jen , Schlaff Audrey , Stella Jessica S. , Kindinger Tye L. , Couch Courtney S. , Fenner Douglas , Hoot Whitney , Manzello Derek , Donahue Megan J. 
Published: March 2024

AbstractEcological forecasts are becoming increasingly valuable tools for conservation and management. However, there are few examples of near‐real‐time forecasting systems that account for the wide range of ecological complexities. We developed a new coral disease ecological forecasting system that explores a suite of ecological relationships and their uncertainty and investigates how forecast skill changes with shorter lead times. The Multi‐Factor Coral Disease Risk product introduced here uses a combination of ecological and marine environmental conditions to predict the risk of white syndromes and growth anomalies across reefs in the central and western Pacific and along the east coast of Australia and is available through the US National Oceanic and Atmospheric Administration Coral Reef Watch program. This product produces weekly forecasts for a moving window of 6 months at a resolution of ~5 km based on quantile regression forests. The forecasts show superior skill at predicting disease risk on withheld survey data from 2012 to 2020 compared with predecessor forecast systems, with the biggest improvements shown for predicting disease risk at mid‐ to high‐disease levels. Most of the prediction uncertainty arises from model uncertainty, so prediction accuracy and precision do not improve substantially with shorter lead times. This result arises because many predictor variables cannot be accurately forecasted, which is a common challenge across ecosystems. Weekly forecasts and scenarios can be explored through an online decision support tool and data explorer, co‐developed with end‐user groups to improve use and understanding of ecological forecasts. The models provide near‐real‐time disease risk assessments and allow users to refine predictions and assess intervention scenarios. This work advances the field of ecological forecasting with real‐world complexities and, in doing so, better supports near‐term decision making for coral reef ecosystem managers and stakeholders. Secondarily, we identify clear needs and provide recommendations to further enhance our ability to forecast coral disease risk.
Advancing battery energy storage system: State‐of‐health aware state‐of‐charge balancing in multilevel inverters for electric transportation
Authors: Batool Dania , Majeed Faiz , Kim Jonghoon 
Published: March 2024

AbstractThis research presents an innovative methodology for enhancing battery energy storage systems for electrically powered transportation, utilizing a distinctive cascaded H‐bridge multilevel inverter design, termed P‐CHBMI. Central to this work is the development of a state‐of‐health aware state‐of‐charge (SoH‐aware‐SoC) balancing technique, which leverages an advanced algorithm integrated with a Proportional‐Integral (PI) controller technique to efficiently balance battery cells according to their state‐of health (SoH). This technique significantly improves operational efficiency and extends the lifespan of battery systems by intelligently optimizing cell discharge processes. Moreover, this research work delivers a wide range of simulations for the generation of a streamlined control algorithms for the development of the symmetric and asymmetric configuration of the P‐CHBMI. Similarly, recommended topology is proficient of equal voltage discharge across battery cells, which is an exclusive property of the conventional cascaded H‐bridge topology. The study includes extensive MATLAB/Simulink simulations to validate the superiority of the P‐CHBMI and the SoH‐aware‐SoC balancing method over conventional systems, highlighting substantial enhancements in switch count efficiency, operational flexibility, and battery durability. Further, the practical applicability of the proposed topology is evidenced through a hardware implementation of a symmetric 5‐level inverter. This study plays a significant role in the development of the inverter technology particularly in off‐grid scenarios such as electric vehicle and aircrafts, keeping the battery efficiency and reliability as a most important factor.
Agronomic and physiological characteristics of high yield and nitrogen use efficient varieties of rice: Comparison between two near‐isogenic lines
Authors: Li Guo‐hui , Zhang Yan , Zhou Cheng , Xu Ji‐wei , Zhu Chang‐jin , Ni Chen , Huo Zhong‐yang , Dai Qi‐gen , Xu Ke 
Published: March 2024

AbstractIncreasing the application of nitrogen fertilizer is the main approach to increase rice production, but it also brings problems of environmental pollution and increases agricultural production costs. Cultivating high‐yielding and high nitrogen use efficiency (NUE) rice varieties is an important approach to solving this problem. The rice varieties carrying dep1 (dense and erect panicle 1) have both high grain yield and high NUE. However, their plant traits have not been fully explored. In this study, two rice near‐isogenic lines carrying dep1 (NIL‐DEP1 and NIL‐dep1) were grown in paddy fields under 0, 120 and 270 kg N ha−1. We analyzed agronomic traits of panicle type, plant type, leaves and roots, and physiological traits of vascular bundles, photosynthetic rate and carbon and nitrogen transport. The results showed that the NIL‐dep1 exhibited higher grain yield and NUE than NIL‐DEP1, mainly due to the higher spikelet number per panicle, grain filling percentage and dry matter production. Compared with NIL‐DEP1, NIL‐dep1 had improved flag leaf morpho–physiological traits, including erect flag leaves, greater leaf thickness and specific leaf weight, higher root dry weight, root length, root volume and root surface area, and a better canopy structure, as reflected by a lower light interception percent and canopy extinction coefficient, leading to better photosynthetic performance and dry matter production. In addition, NIL‐dep1 exhibited better vascular bundle traits of peduncle and enhanced dry matter, stem carbon and nitrogen translocation during grain filling. In conclusion, NIL‐dep1 had high grain yield and NUE by improved agronomic and physiological traits and increasing carbon and nitrogen translocation during grain filling. These traits mentioned above could be used to select and breed high grain yield with high NUE rice varieties.
Lipid‐ and glucose‐lowering effects of Rhamnan sulphate from Monostroma nitidum with altered gut microbiota in mice
Authors: Shimada Yasuhito , Zang Liqing , Ishimaru Toshinari , Nishiura Kaoru , Matsuda Koichi , Uchida Ryota , Nakayama Hiroko , Matsuoka Izumi , Terasawa Masahiro , Nishimura Norihiro 
Published: March 2024

AbstractRhamnan sulphate (RS) is a sulphated polysaccharide found in green algae such as Monostroma nitidum that exhibits various biological functions, including anticoagulant, antitumour, antiviral, and anti‐obesity properties. In our previous clinical trial, we demonstrated that RS intake improves constipation. However, no specific bacteria showed a significant (p < .05) change. Notably, these results were obtained after a short RS inoculation period of only 2 weeks. In the present study, to evaluate the long‐term effects of RS on the gut microbiota, we orally administered RS to BALB/c mice for 11 weeks, analyzed their blood biochemical data, and performed 16s rRNA‐sequencing. Oral administration of RS increased body weight with increased food intake, whereas plasma total cholesterol and fasting plasma glucose levels decreased. RS‐fed mice showed lower fasting insulin levels (p < .1) and decreased homeostatic model assessment for insulin resistance (HOMA‐IR, p < .0001), suggesting that RS improved insulin resistance. In the feces of mice, the amounts of acetic and propionic acids increased. In the gut microbiota, predictive metagenomic profiling using the phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt2) revealed functional alterations in Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathways in RS‐fed mice. Corresponding to the blood glucose‐lowering effect, the glycolysis and tricarboxylic acid (TCA) cycle pathways were activated. In addition, the Firmicutes/Bacteroides (F/B) ratio, which may be associated with various health outcomes, was also reduced. These results suggest that the blood glucose‐lowering effect, improvement in insulin resistance, and lipid‐lowering effect of RS may be due to changes in the intestinal microbiota.
Evaluation of black grape pomace, a fruit juice by‐product, in shalgam juice production: Effect on phenolic compounds, anthocyanins, resveratrol, tannin, and in vitro antioxidant activity
Authors: Akbulut Mehmet , Çoklar Hacer , Bulut Ayşe Nur , Hosseini Said Reza 
Published: March 2024

AbstractThe aims of this research were to investigate the usability of black grape pomace in the production of shalgam juice, which is a traditional fermented Turkish beverage, to transform the pomace into the high value‐added product and to enrich the shalgam juice with phenolic compounds. Black grape pomace and black carrot were used as the sources of polyphenols and five different formulations were obtained according to the amounts of black carrot and black grape pomace. During the fermentation, the samples were taken at different periods and analyzed for anthocyanins, phenolic compounds, antioxidant activity, and tannin content. Gentisic, caffeic, ferulic, coumaric, and chlorogenic acids, catechin, glucosides of kaemferol and isorhamnetin, resveratrol, rutin, cyanidin‐3‐xylosylglucosylgalactoside, cyanidin‐3‐xylosylgalactoside, cyanidin‐3‐xylosylglucosylgalactoside acylated with sinapic acid, ferulic acid, or coumaric acid, and glucosides of cyanidin, petunidin, and malvidin were identified in the shalgam juices that contained both black grape pomace and black carrot in their formulation. Some of these polyphenols were not detected detect in the shalgam juices that were produced from only the black carrot or black grape pomace. During the fermentation, a decrease in the amount of anthocyanins originated from black carrots and an increase in the amount of anthocyanins orginated from black grape pomace were determined. Black grape pomace addition to the formulation before the fermentation caused an increase in the amount of tannin in the shalgam juice samples. Consequently, it is thought that black grape pomace can be fruitfully evaluated in shalgam juice production and can be enhanced by polyphenolic profile of shalgam juice.