bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of oak sawing parameters based on energy consumption and surface roughness
Authors: Hao Z. , Zhang F. , Li X. , Wang Y. , Zhang T. , Guo X. 
Published: October 2024

AbstractHigh energy consumption and poor processing quality are common problems in wood sawing. To address these issues, in this article, specific cutting energy and surface roughness were investigated with saw blade speed as control variables. Analysing the effect of parameters on specific cutting energy and surface roughness. The sawing parameters were optimised with the objectives of minimum specific cutting energy and minimum surface roughness. The findings indicate that specific cutting energy and surface roughness reduction with increasing rake angle; specific cutting energy and surface roughness decrease with increasing spindle speed; specific cutting energy decreases and surface roughness increases with increasing feed rate. ANOVA analysis reveals that sawing speed (n) has the most significant impact on specific cutting energy during oak cutting. The optimal solution derived from TOPSIS suggests a specific cutting energy of 2E7 J/m3 and a surface roughness of 1.758 μm. The innovation of this paper is the study of the specific cutting energy and the optimisation of parameters. These findings provide valuable theoretical and practical guidance for enhancing the efficiency and quality of oak processing while minimizing energy consumption.
Accelerating spin Hall conductivity predictions via machine learning
Authors: Zhao Jinbin , Lai Junwen , Wang Jiantao , Zhang Yi‐Chi , Li Junlin , Chen Xing‐Qiu , Liu Peitao 
Published: October 2024

AbstractAccurately predicting the spin Hall conductivity (SHC) is crucial for designing novel spintronic devices that leverage the spin Hall effect. First‐principles calculations of SHCs are computationally intensive and unsuitable for quick high‐throughput screening. Here, we have developed a residual crystal graph convolutional neural network (Res‐CGCNN) deep learning model to classify and predict SHCs solely based on the structural and compositional information. This is enabled by having access to 9249 instances of SHCs data and incorporating extra residual networks into the standard CGCNN framework. We found that Res‐CGCNN surpasses CGCNN, achieving a mean absolute error of 115.4 (ℏ/e) (S/cm) for regression and an area under the receiver operating characteristic curve of 0.86 for classification. Additionally, we utilized Res‐CGCNN to conduct high‐throughput screenings of materials in the Materials Project database that were absent in the training set. This led to the prediction of several previously unreported materials displaying large SHCs exceeding 1000 (ℏ/e) (S/cm), which were validated through first‐principles calculations. This study represents the inaugural endeavor to construct a machine learning model capable of effectively capturing the intricate nonlinear relationship between SHCs and crystal structure and composition, serving as a useful tool for the efficient screening and design of materials exhibiting high SHCs.
Tunable bandpass frequency selective surface with wideband tuning and low insertion loss based on tunneling waveguide array
Authors: Zhong Shuomin , Lai Peining , Hua Changzhou , Liu Taijun , Huang Jifu 
Published: October 2024

AbstractIn this paper, we present a tunable bandpass frequency‐selective surface (FSS) with wide tuning range. The FSS consists of a metallic rectangular waveguide array integrated into the double‐sided printed circuit board (DSPCB) and an array of embedded varactors with a bias network on the backside of the DSPCB. The waveguide array exhibits a frequency‐selective transmission peak due to the tunneling effect, and the transmission frequency can be adjusted by modifying the capacitance of varactors using different bias voltages. One benefit of this setup is that the varactors, along with the bias network, are situated on the same layer, resulting in a significant reduction in overall thickness to just 0.006λc (where λc represents the free‐space wavelength at the highest transmission frequency). Additionally, the insertion loss related to the parasitic resistance of varactors is notably reduced due to the innovative integrated design of biasing lines with varactors and the nearly full‐metal waveguide array. A prototype has been manufactured and tested, demonstrating that by varying the varactor capacitance from 0.12 to 1 pF, the passband showcases a frequency tuning range of 2.32:1, spanning from 5.8 to 2.5 GHz with an insertion loss ranging from 0.2 to 2.6 dB.
Isolation improvement between two tightly coupled QMSIW MIMO antenna elements using spoof surface plasmon polariton structure
Authors: Kumari Priya , Das Sushrut 
Published: October 2024

AbstractA spoof surface plasmon polariton superstrate structure‐based decoupling method is proposed in this paper to reduce mutual coupling between two tightly coupled quarter‐mode substrate integrated waveguide antenna elements. This superstrate is a periodic structure suspended over the antenna elements with an inter‐element spacing of 0.02 λ0 (1 mm) at 6 GHz. It has been demonstrated that the isolation can be improved from 6.5 dB to more than 39 dB within the operation band in measurement. Further, it has been shown that the proposed method can improve both the total efficiency (by 25%) and gain (1.4 dBi) of the multiple‐input multiple‐output antenna.
Improved heterogeneity handling in the collapsed cone dose engine for brachytherapy
Authors: Alpsten Freja , van Veelen Bob , Valdes‐Cortez Christian , Berumen Francisco , Ahnesjö Anders , Carlsson Tedgren Åsa 
Published: October 2024

AbstractBackgroundModel‐based dose calculation algorithms (MBDCA), such as the Advanced Collapsed cone Engine (ACE) in Oncentra Brachy® can be used to overcome the limitations of the TG‐43 formalism. ACE is a point kernel superposition algorithm that calculates the total dose separated into primary, first‐scatter, and multiple‐scatter dose. Albeit ACE yields accurate results under most circumstances, several studies have reported underestimations of the dose to cortical bone. These underestimations are likely caused by approximations in the handling of multiple‐scatter dose for non‐water media. Such would result in noticeable deviations where the multiple‐scatter is a considerable fraction of the total dose, that is, at greater distances from the source.PurposeTo improve and test the accuracy of the multiple‐scatter dose component in the ACE algorithm to remedy its inaccuracy for non‐water geometries.MethodsA careful analysis of the transport and absorption of the multiple‐scatter energy fluence revealed an inconsistency in the scaling of energy absorption ratios for non‐water media of the multiple‐scatter kernel. We implemented an updated algorithm version, ACEcorr, and tested it for three different geometries. All had a single 192Ir‐source at the center of a cubic water phantom with a box‐shaped heterogeneity of either cortical bone or air, positioned at different distances from the source. Dose distributions for the three cases were calculated with ACE and ACEcorr and compared to Monte Carlo simulations, using the percentage dose difference ratio as figure‐of‐merit. All dose calculation methods scored separately the dose deposited by primary, first‐scattered, and multiple‐scattered photons.ResultsThe accuracy of the updated algorithm ACEcorr was superior to ACE. In the cortical bone heterogeneity, the mean percentage dose difference ratio for the total dose improved from to (in the worst case) by our update. Less impact was seen in the air heterogeneity, where both ACE and ACEcorr deviated less than 2% from the Monte Carlo results. The algorithm update mainly concerns the multiple‐scattered dose component, but an accompanying data processing update also had a small effect (0.5% difference) on the primary and first‐scattered dose. The calculation times were not affected.ConclusionsThe updates to ACE improved the accuracy of multiple‐scatter dose calculation for non‐water media, without increasing calculation times.
The spatial and seasonal patterns and stability of the Lake Whitefish fishery in Michigan waters of southern Lake Huron
Authors: He Ji X. , Goniea Thoms M. , Bence James R. , Wills Todd C. , Herbst Seth J. , Briggs Andrew S. , Fielder David G. 
Published: October 2024

Abstract

Objective
Given that the harvested fish from five separate fishing grounds belong to one large mixed population, our objective is to develop an overall abundance index for Lake Whitefish Coregonus clupeaformis in Michigan waters of southern Lake Huron.

Methods
We analyzed catch-and-effort data for individual fishing trips to five separate fishing grounds and used Bayesian information criterion to select the best model struture.

Result
The best model included the year × area × month interaction as a random effect, representing the random component in fishery dynamics that were influenced by both fishing practices and fish abundance. The best model also included the fixed effects of area × month interaction, a result consistent with our hypothesis that the seasonal spatial migrations of Lake Whitefish provide the links among the fisheries in separate fishing grounds, and the fishery yields from these separate areas were all dependent on the production in southern Lake Huron as a whole. After adjusting for the random effect of year × area × month interaction and the fixed effects of area × month interaction, the estimated patterns for the fixed year effect indicated that the Lake Whitefish abundance in Michigan waters of southern Lake Huron declined during the late 2000s but has been relatively constant after 2012.

Conclusion
The declines in annual fishery yield were due to and could be explained more by the decreases in fish abundance through 2012 but thereafter primarily reflected the declines in annual fishing effort as the fisheries continued to adjust to the changed fishing conditions. We also provided general lessons for studying fisheries without fishery independent surveys but with detailed seasonal and spatial catch-and-effort data.
Screening, identification, and diagnosis of malnutrition in hospitalized patients with solid tumors: A retrospective cohort study
Authors: Aktas Aynur , Walsh Declan , Boselli Danielle , Finch Lenna , Wallander Michelle L. , Kadakia Kunal C. 
Published: October 2024

AbstractBackgroundMalnutrition is common in hospitalized patients with cancer and adversely affects clinical outcomes. We evaluated the prevalence of malnutrition risk, dietitian‐identified malnutrition (DIMN), and physician‐diagnosed malnutrition (PDMN) at admission.MethodsThis retrospective study included adults diagnosed with a stage I–IV solid tumor malignancy and admitted to Atrium Health Carolinas Medical Center from January 2016 to May 2019. Malnutrition risk was determined by a score ≥2 on the Malnutrition Screening Tool (MST) administered by a registered nurse during the intake process. Registered dietitian nutritionist (RDN) assessments were reviewed for DIMN and grade (mild, moderate, or severe). PDMN included malnutrition International Classification of Diseases, Tenth Revision codes in the discharge summary. Univariate models were estimated; multivariate logistic regression models identified associations between clinicodemographic factors and malnutrition prevalence with stepwise selection.ResultsA total of 5143 patients were included. Median age was 63 (range 18–102) years, 48% were female, 70% were White, and 24% were Black. Upper gastrointestinal (21%), thoracic (18%), and genitourinary (18%) cancers were most common. A total of 28% had stage IV disease. MST scores were available for 4085 (79%); 1005 of 4085 (25%) were at malnutrition risk. Eleven percent (n = 557) had malnutrition coded by a physician or documented by an RDN; 4% (n = 223) of these were identified by both clinicians, 4% (n = 197) by RDNs only, and 3% (n = 137) by physicians only.ConclusionMalnutrition appears to be underdiagnosed by both RDNs and physicians. Underdiagnosis of malnutrition may have significant clinical, operational, and financial implications in cancer care.
Unveiling the functions of the Lim‐domain binding protein MaPtaB in Metarhizium acridum
Authors: Du Yanru , Hu Meiwen , Xia Yuxian , Jin Kai 
Published: October 2024

AbstractBACKGROUNDThe Lim‐domain binding protein PtaB, a homolog of Mfg1, governs conidiation and biofilm formation in several fungi. PtaB includes a conserved Lim‐binding domain and two predicted nuclear localization sequences at its C terminus, and is co‐regulated with the transcription factor Som1 downstream of the cyclic AMP‐dependent protein kinase A (cAMP/PKA) pathway. However, the function of PtaB in entomopathogenic fungi remain poorly understood.RESULTSInactivation of PtaB in Metarhizium acridum resulted in delayed conidial germination, reduced conidial yield and increased sensitivities to cell wall disruptors, ultraviolet B irradiation and heat shock. In addition, the fungal virulence was significantly decreased after deletion of MaPtaB because of impairments in appressorium formation, cuticle penetration and evasion of insect immune responses in M. acridum. The MaPtaB‐deletion and MaSom1‐deletion strains showed similar phenotypes supporting that MaSom1/MaPtaB complex controls M. acridum normal conidiation and pathogenic progress. Upon loss of MaPtaB or MaSom1, the fungal sporulation mode in M. acridium shifted from microcycle conidiation to normal conidiation on SYA, a microcycle conidiation medium. Transcriptional analysis showed that more differentially expression genes were identified in MaSom1 RNA sequencing, and MaSom1 and MaPtaB may regulate the expression of genes for conidiation, nutrient metabolism and the cell cycle to control conidiation pattern shift.CONCLUSIONThese data corroborate a complex control function for MaPtaB as an important central factor interacting with MaSom1 in the cAMP/PKA pathway, which links stress tolerance, conidiation and virulence in the entomopathogenic fungus M. acridum. © 2024 Society of Chemical Industry.
A Collision‐Free Pursuit‐Evasion Framework for Indirect Herding and Formation Control of Noncooperative UAVs
Authors: Zhang Ye , Zhu Yutong , Tan Minghu , Wang Jingyu 
Published: October 2024

ABSTRACTIn this article, we aim to design a general framework for the pursuit‐evasion (PE) game of multiple UAVs. Based on the distance between the pursuers and the evader, the whole pursuit‐evasion process is decoupled into a seeking stage and a herding stage. A formation control method is proposed to make sure that the pursuers can find and drive the noncooperative evaders along a desired trajectory towards the designated target while maintaining a preset formation. In the meantime, an adaptive potential function is designed to achieve collision avoidance to both obstacles and other agents in the formation. The main contribution is that it combines formation control and collision avoidance in the problem of indirect herding, which is rarely addressed before. Also, the convergence and effectiveness of the designed controller for trajectory tracking and formation maintenance are proven and verified in the article. Simulation results in two and three dimensional space show that the proposed framework achieves the goal of coordinated herding and collision avoidance in a pursuit‐evasion scenario under uncertainties and external disturbances.
Green choices and brand happiness: A recipe for brand evangelism
Authors: Khandai Sujata , Kataria Sonia , Kohli Harpuneet Singh , Yadav Renu , Mathew Jones 
Published: October 2024

AbstractTo date, research has predominantly focused on identifying the antecedents of sustainable consumption, but little work has been done to understand the impact of the consumption of sustainable brands on consumer emotions and behaviours thereof and how it varies across generations. This study attempts to analyse the relationship between consumption of sustainable brands and brand happiness, and the likelihood of it resulting in brand evangelism. We used the mall intercept method to collect responses from 564 respondents. We used structural equation modelling (SEM) to verify the research model and hypotheses and Hayes Process macro to test mediation and moderation impact. The study concludes that the consumption of sustainable brands triggers a positive emotional response in the consumer by evoking a feeling of happiness, which leads them to evangelise the brand. Thus, evangelists disseminate positive word of mouth and repurchase the brand, as well as engage in oppositional brand referrals to strengthen their relationship with the brand. The study further confirms the moderating role of generation cohorts in the relationship between brand happiness and brand evangelism. Gen Z is more likely to be an evangelist for sustainable brands as compared to other cohorts. The results corroborate with the self‐perception theory, which has been used as a theoretical base. In addition, managers should prioritise sustainability as a driver of brand happiness to effectively engage consumers, especially Generation Z, while aligning marketing strategies for consumer behaviour.
Why are some nations more entrepreneurial than others? Investigating the link between cultural tightness–looseness and rates of new firm formation
Authors: Assenova Valentina A. , Amit Raphael 
Published: October 2024

AbstractResearch SummaryWe evaluate the role of cultural tightness–looseness as an explanation for cross‐cultural variation in new firm formation rates. Modeling cultural tightness–looseness as an antecedent for individual entrepreneurial dispositions and informal institutions, we examine its impact on the number of new limited‐liability companies registered per 1000 people and the rate of new entrepreneurs in the working‐age population. Our findings show that cultural tightness–looseness explains 56% of the variation in new firm formation rates in a sample of 156 nations, and 71% of the variation in the rate of new entrepreneurs in the 50 US states, with greater cultural looseness corresponding to higher rates of entrepreneurship, on average. This effect is robust to various model specifications, measures, and controls for other cultural dimensions.Managerial SummaryOur study examines how cultural tightness–looseness impacts new firm formation rates across nations and US states. We find that cultural looseness, characterized by flexible social norms, significantly influences entrepreneurial activity. Specifically, it explains 56% of the variation in new firm formation rates across 156 nations and 71% of the variation in new entrepreneur rates in the 50 US states. Nations and states with looser cultures tend to have higher rates of entrepreneurship. These findings are robust across different model specifications, measures, and control variables. Managers and policymakers should consider the strength and enforcement of social norms as factors in fostering new firm formation.
Evaluation of β‐ and γ‐Cyclodextrins as Promising Bisoprolol Drug Carriers: Docking, Molecular Dynamics and MM‐PBSA1 Free‐Energy Calculations*
Authors: Fazli Mostafa , Boorboor Mohammad Reza , Mahdavifar Zabiollah , Bagheri Ahmad 
Published: October 2024

AbstractIn this research work, the binding mechanism of Bisoprolol (BIS) drug into the beta‐cyclodextrin (β‐CD) and gamma‐cyclodextrin (γ‐CD) nanopores were investigated using docking, molecular dynamics (MD) simulations, and MM‐PBSA free energy calculations. Also, we assessed the energetic aspects within the BIS‐CDs complex under different thermal conditions in four stages from 298 to 334 K, which includes mammalian body temperature in order to approximate physiological conditions. The computational results reveal that the encapsulation of the BIS into the cavities of CDs is reinforced by hydrogen bonds (HBs) and van der Waals (vdW) interactions in the aqueous phase. The stability of the inclusion complexes of β and γ‐CD with BIS was confirmed by evaluating system stability, flexibility, dynamic and thermodynamic properties at all temperature steps. Next, we analyzed the degree of complexation between BIS and CDs at four different temperatures. The findings revealed that the degree of complexation is decreased as the temperature is increased. The translational movement of the drug to the outside of the CDs cavity increased in the temperature range of 310 to 334 K in γ‐CD more than β‐CD. The β‐CD complex exhibits greater stability compared to the γ‐CD complex in the aqueous medium. The MM‐PBSA free energy approach also confirms more binding affinity of BIS drug into the β‐CD cavity. keywords: Bisoprolol, β‐cyclodextrin, γ‐cyclodextrin, Molecular dynamics, MM‐PBSA free energy.
Exploring the Anticancer Potential of Triazine Derivatives: An Outlook of Designing Strategies, Docking Studies, and Structure‐Activity Relationships (SAR)
Authors: Manjushree B. V. , Matada Gurubasavaraja Swamy Purawarga , Pal Rohit , Sk Md. Ashadul , Viji M. P. , Aishwarya Nimmagadda Venkata Satya Sai , Das Pronoy Kanti , Aayishamma I. , Mounika S. 
Published: October 2024

AbstractCancer is a disease characterized by uncontrolled cell growth resulting from genetic and epigenetic changes accumulating within a cancer cell population. Despite the milestone discovery of chemotherapeutic drugs against cancer, cancer remains tough to cure. Therefore, cancer has the second‐highest global death rate. There are certain factors such as genetic mutation, cancer cell diversity, metastasis, and resistance, which limit chemotherapy. To combat cancer, it's crucial to find novel therapeutic tactics and produce novel drugs that target cancer cells without affecting healthy cells. Heterocyclic compounds influence certain molecular targets to find novel lead structures can be a noteworthy strategy for the development of potential anticancer agents. Triazine, a low‐cost and widely available heterocyclic scaffold, has piqued researchers’ interest in developing innovative designing strategies. This review presents the advancement of three different isomers of triazines as anticancer agents. The main focus of this review is to provide the advancement of designing strategies, structure‐activity relationships, and docking studies of triazine derivatives as anticancer agents the available triazine‐containing drugs, and the status of clinical trials of triazine‐containing drugs were also highlighted. Lastly, we have also concluded the most potent derivatives and their hybridization with another ring to justify the particular anticancer activity.
Microblog‐Assisted Synthesis of Schiff Base Network Polymers for SO2/Epoxide Copolymerization and Thermal Degradation Kinetics of the Products
Authors: Wang Wenyu , Wang Shouhong , Xu Juan , Yang Huigui , Liu Yi , Li Mengrui , Zhi Yunfei 
Published: October 2024

AbstractThis study successfully prepared three environmentally friendly Schiff base network (SNW) polymers, SNW‐1, SNW‐2, and SNW‐3, using melamine and aldehyde compounds as raw materials through a microwave‐assisted synthesis method. The SNW materials were applied to catalyze the copolymerization reaction of SO2 and epoxides. Through detailed analysis of the chemical structure and properties of SNW‐1, SNW‐2, and SNW‐3, their catalytic efficiency was thoroughly investigated. Three thermal degradation kinetic models, Flynn–Wall–Ozawa (FWO), Kissinger, and Coats–Redfern, were employed to calculate the kinetic parameters of the thermal degradation of poly(cyclohexene sulfite) (PCS). Potential thermal degradation mechanisms were speculated. Additionally, the Kissinger model accurately described the thermal degradation kinetics features of PCS. Based on experimental results and kinetic analysis, this paper elucidates the potential mechanism of the copolymerization reaction of SO2 and epoxides. The study indicates that microwave‐assisted synthesis exhibits convenience and high efficiency in preparing efficient catalysts, demonstrating significant potential across various application domains.