bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Retrieved Context Model of Serial Recall and Free Recall
Authors: Lohnas Lynn J. 
Published: November 2024

AbstractA full characterization of memory must include how participants use exogenous and endogenous cues to guide retrieval. In free recall, in which endogenous cues play a large role, retrieved context theories have emerged as a leading explanation of data on the dynamics of memory search (Lohnas & Healey, Psychology of Learning and Motivation, 75, 157–199, 2021). More recently, Logan and colleagues have advanced a retrieved context model to explain data on serial recall and motor production (Logan, Psychological Review,125(4), 453–485, 2018, Psychological Review,128(1), 1–44, 2021; Logan & Cox, Psychological Review,128(6), 1197–1205, 2021, Psychological Review,130(6), 1672–1687, 2023; Osth & Hurlstone, Psychological Review, 130(2), 213–245, 2023). Comparisons of recall transitions have further highlighted similarities among these tasks (e.g., Bhatarah et al., Memory & Cognition, 36(1), 20–34, 2008; Golomb et al., Memory & Cognition, 36(5), 947–956, 2008). Here, I evaluate retrieved context theory’s ability to simultaneously account for data from these classic recall procedures. I show how a serial version of the context maintenance and retrieval model (termed sCMR) can account for dissociations between serial position curves and temporal clustering effects. I also show how sCMR can account for grouping effects using similar assumptions across recall procedures. The sCMR model provides a common theoretical framework to harmonize the disparate phenomena studied using these classic memory procedures, but also reveals the distinctions between serial and free recall through their relative dependence on different model-based mechanisms.
Questionnaire Survey on Stockpiling Medicines for Disasters in Pharmacies in Gifu City in Anticipation of Nankai Trough Earthquake
Authors: Kishi Azumi , Noguchi Yoshihiro , Tachi Tomoya , Iguchi Kazuhiro , Teramachi Hitomi 
Published: November 2024

Abstract

Objectives
In recent years, Japan has experienced a series of earthquakes and torrential rain disasters in various regions, and in Gifu City, there is concern about the possibility ofNankai Trough earthquakes in the near future. However, pharmacists’ awareness of disaster preparedness and status of drug stockpiles in pharmacies are not clearly outlined.

Methods
A survey on disaster prevention and stockpiling was conducted in 286 pharmacies in Gifu City. Data were collected from August to the end of October 2022. A simple aggregate was used in the study.

Results
The response rate was 66.8% (191 pharmacies). Among them, 9.9% (19 pharmacies) had stockpiles of medicines for disasters, in which 33.3% of the medicines needed in the early stages of a disaster were above the average overall stockpiling rate. In addition, 2.1% (4 pharmacies) selected medicines according to national or prefectural manuals, and 96.3% (184 pharmacies) preferred to have the “national or local government” bear the cost of stockpiling.

Conclusions
This study allowed us to understand the stockpiling situation of pharmacies in Gifu City in event of a disaster such as the Nankai Trough earthquake, which is likely to occur in the future. Based on these results, it is necessary to consider measures for disaster stockpiling.
Data-driven decarbonization framework with machine learning
Authors: Jain Ayush , Padmanaban Manikandan , Hazra Jagabondhu , Guruprasad Ranjini , Godbole Shantanu , Syam Heriansyah 
Published: November 2024

Abstract
Eight major supply chains contribute to more than 50% of the global greenhouse gas emissions (GHG). These supply chains range from raw materials to end-product manufacturing. Hence, it is critical to accurately estimate the carbon footprint of these supply chains, identify GHG hotspots, explain the factors that create the hotspots, and carry out what-if analysis to reduce the carbon footprint of supply chains. Towards this, we propose an enterprise decarbonization accelerator framework with a modular structure that automates carbon footprint estimation, identification of hotspots, explainability, and what-if analysis to recommend measures to reduce the carbon footprint of supply chains. To illustrate the working of the framework, we apply it to the cradle-to-gate extent of the palm oil supply chain of a leading palm oil producer. The framework identified that the farming stage is the hotspot in the considered supply chain. As the next level of analysis, the framework identified the hotspots in the farming stage and provided explainability on factors that created hotspots. We discuss the what-if scenarios and the recommendations generated by the framework to reduce the carbon footprint of the hotspots and the resulting impact on palm oil tree yield.
Singularities of nilpotent Slodowy slices and collapsing levels of W-algebras
Authors: Arakawa Tomoyuki , van Ekeren Jethro , Moreau Anne 
Published: November 2024

Abstract
We develop techniques to construct isomorphisms between simple affine W-algebras and affine vertex algebras at admissible levels. We then apply these techniques to obtain many new, and conjecturally all, admissible collapsing levels for affine W-algebras. In short, if a simple affine W-algebra at a given level is equal to its affine vertex subalgebra generated by the centraliser of an

${\mathfrak {sl}}_2$

-triple associated with the underlying nilpotent orbit, then that level is said to be collapsing. Collapsing levels are important both in representation theory and in theoretical physics. Our approach relies on two fundamental invariants of vertex algebras. The first one is the associated variety, which, in the context of admissible level simple affine W-algebras, leads to the Poisson varieties known as nilpotent Slodowy slices. We exploit the singularities of these varieties to detect possible collapsing levels. The second invariant is the asymptotic datum. We prove a general result asserting that, under appropriate hypotheses, equality of asymptotic data implies isomorphism at the level of vertex algebras. Then we use this to give a sufficient criterion, of combinatorial nature, for an admissible level to be collapsing. Our methods also allow us to study isomorphisms between quotients of W-algebras and extensions of simple affine vertex algebras at admissible levels. Based on such examples, we are led to formulate a general conjecture: for any finite extension of vertex algebras, the induced morphism between associated Poisson varieties is dominant.
Linking leader inclusiveness to employee voice: Exploring dual-mediation paths
Authors: Gong Lei , Zhang Shuqin , Liu Zhiying 
Published: November 2024

Abstract
Previous literature generally acknowledged that leader inclusiveness has positive effects on employee voice. However, emerging research and practice commentary highlight the importance of considering the potential dark side of leader inclusiveness on employee voice. This study examines the dual-path mechanism by which leader inclusiveness influences employee voice through perceived autonomy and cognitive dependence and investigates the moderating role of performance-prove goal orientation within this dynamic. Based on data from 286 independent leader–subordinate dyads working in China, we find that leader inclusiveness can promote employee voice by increasing perceived autonomy, and hinder employee voice by increasing cognitive dependence. Furthermore, performance-prove goal orientation weakens the positive indirect effect of leader inclusiveness on voice via perceived autonomy and strengthens the negative indirect effect of leader inclusiveness on voice via cognitive dependence. These findings contribute to a better understanding of how leader inclusiveness affects employee voice behavior through dual pathways and its boundary conditions.
Optimal approximate minimization of one-letter weighted finite automata
Authors: Lacroce Clara , Balle Borja , Panangaden Prakash , Rabusseau Guillaume 
Published: November 2024

AbstractIn this paper, we study the approximate minimization problem of weighted finite automata (WFAs): to compute the best possible approximation of a WFA given a bound on the number of states. By reformulating the problem in terms of Hankel matrices, we leverage classical results on the approximation of Hankel operators, namely the celebrated Adamyan-Arov-Krein (AAK) theory. We solve the optimal spectral-norm approximate minimization problem for irredundant WFAs with real weights, defined over a one-letter alphabet. We present a theoretical analysis based on AAK theory and bounds on the quality of the approximation in the spectral norm and
$\ell ^2$
norm. Moreover, we provide a closed-form solution, and an algorithm, to compute the optimal approximation of a given size in polynomial time.
Expanded Understanding of the Western Antarctic Peninsula Sea‐Ice Environment Through Local and Regional Observations at Palmer Station
Authors: Goodell E. , Stammerjohn S. , Meredith M. , Moffat C. , Eveleth R. 
Published: November 2024

AbstractThe Western Antarctic Peninsula (WAP) has been experiencing rapid regional warming since at least the 1950s, however, the impacts of this warming at the local scale are variable and nuanced. Previous studies that have linked sea‐ice variability to biogeochemical cycles and food web dynamics often combine local‐scale biogeochemical data with coarse‐resolution regional satellite sea‐ice data, which may not adequately capture local sea‐ice conditions. In this study, we analyzed local‐scale in situ sea‐ice observations collected as part of a 28‐year record (1992–2020) from the Palmer Long‐Term Ecological Research site at Anvers Island, mid‐WAP, in conjunction with isotopically‐derived sea‐ice meltwater (SIM) fractions and satellite‐derived sea‐ice motion and concentration, to quantify the variability and long‐term trends in local sea‐ice behavior. In situ sea ice observations at Palmer Station displayed higher variability than satellite observations and showed no significant declines over this time, despite region‐wide declines identified in prior studies. Higher spring SIM fractions were attributed to strong northward sea‐ice motion throughout the winter. Applying these local‐scale sea‐ice insights to similarly scaled stratification and chlorophyll‐a measurements, we found that a longer‐lasting, more consistent sea‐ice pack led to greater water column stratification following the spring sea‐ice retreat. Greater sea‐ice persistence and stronger stratification led to larger peaks in chlorophyll‐a, though sea‐ice metrics did not explain the positive temporal trends in either stratification strength or chlorophyll‐a. Through this study, we identify how local sea‐ice observations and meltwater data can enhance satellite data to build an understanding of the intricate connections between ice, water column dynamics, and phytoplankton.
Current practice, barriers and drivers to embedding environmental sustainability in undergraduate dental schools in the UK and Ireland
Authors: Dixon Jonathan , Martin Nicolas , Field James 
Published: November 2024

AbstractAims This study aimed to: i) identify current teaching practice and approaches to embedding environmental sustainability (ES) in the undergraduate dental curriculum in the UK and Republic of Ireland (ROI); and ii) uncover existing barriers and drivers to incorporating ES in dental education.Methods A questionnaire was developed and distributed to all dental schools in the UK and ROI in the form of an online survey. The intended respondents were deans, heads of schools, directors of education, or senior academics of all dental schools in the UK and ROI that deliver undergraduate dentistry/dental surgery programmes.Results In total, 18 dental schools responded to the survey, representing a response rate of 100% from the intended respondents. Note 56% of dental schools do not currently teach ES. Time constraints and a lack of knowledge and learning resources were the most reported barriers.Conclusion Currently, ES is not taught in most dental schools in the UK and ROI. Many schools face challenges in finalising the delivery modalities of ES teaching, particularly in clinical environments. Numerous barriers have been identified that complicate embedding this topic in the curriculum. Positively, universities, staff, students and the recently published learning outcomes are driving impactful change across the sector.
Impact of smoking status on incident hypertension in a Japanese occupational population
Authors: Yamato Ikumi , Kansui Yasuo , Matsumura Kiyoshi , Inoue Minako , Ibaraki Ai , Sakata Satoko , Arima Hisatomi , Goto Kenichi , Kitazono Takanari 
Published: November 2024

Abstract
Hypertension and tobacco smoking pose independent risks for cardiovascular diseases, but their association is unclear especially in Japanese. We investigated the impact of smoking status on the risk of new-onset hypertension in male and female Japanese workers. We evaluated 5439 subjects without hypertension who participated in medical check-ups in 2007–2018. The outcome was the development of hypertension (blood pressure ≥140/90 mmHg or initiation of antihypertensive drugs). Cox’s proportional hazards models were used to assess the association between smoking status and the hypertension incidence. During the average 6.0-year follow-up, 1395 individuals (25.6%) developed hypertension. The crude incidence rates of hypertension (per 100 person-years) were: current non-smokers (n = 3033), 3.4; quitters (n = 445), 4.2; and sustained smokers (n = 1961), 5.7. The multivariable-adjusted hazard ratio was 1.34 (1.20–1.50) for sustained smokers and 1.03 (0.86–1.24) for quitters compared to current non-smokers (P for trend <0.01). In stratified analyses, the risk of incident hypertension was significantly higher in the sustained smokers with lower blood pressure or without diabetes at baseline versus the current non-smokers. A significant risk reduction of hypertension development due to smoking cessation was revealed in the subjects with higher blood pressure levels at baseline or without body weight gain after smoking cessation. Smoking was an independent risk factor for incident hypertension. Smoking cessation reduced the risk of hypertension development compared to sustained smoking, especially among the subjects with higher blood pressure levels. Maintaining one’s body weight after smoking cessation would also help prevent hypertension development.
Optimization of waste biomass demineralization through response surface methodology and enhancement of thermochemical and fusion properties
Authors: Tabish Asif Nadeem , Irfan Muhammad , Irshad Muneeb , Hussain Muhammad Asif , Zeb Hassan , Jahangir Saad , Shahzad Akmal , Siddiqi Muhammad Hamid , Mujtaba M. A. , Fouad Yasser , Kalam M. A. 
Published: November 2024

AbstractThis study examines the impact of leaching with dilute hydrochloric acid solution on the reduction of ash content and the thermal degradation behavior of sugarcane bagasse. Response surface methodology (RSM) was used to statistically design the experiments and investigate the effect of three independent variables: treatment time, solid-to-liquid ratio, and reagent concentration. The leaching conditions were further optimized and experimentally validated for maximum ash reduction for suitability of treated biomass as feedstock for thermochemical conversion technologies. Reagent concentration and treatment time directly affected ash reduction, while the solid-to-liquid ratio inversely influenced it. Concentration had the highest impact, and treatment duration had the least. The maximum 78.2% ash reduction was achieved by treating the biomass with 1 M HCl for 80 min at a solid-to-liquid ratio of 50:1 (wt/vol). This ash reduction also resulted in a 9.82% increase in higher heating value (HHV). Hemicellulose hydrolysis during leaching was observed through chemical composition and Fourier-transform infrared spectroscopy (FTIR). Ash fusion temperatures increased, indicating more thermally stable biomass. Thermogravimetric analysis (TGA) showed elevated maximum degradation temperature and activation energy.
Enhancement of AVR system performance by using hybrid harmony search and dwarf mongoose optimization algorithms
Authors: Hesham Omar M. , Attia Mahmoud A. , Mekhamer S. F. 
Published: November 2024

AbstractInnovations in control algorithms, integration of smart grid technologies, and advancements in materials and manufacturing techniques all push the boundaries of AVR performance. As the demand for power systems progresses with the complexity and variety of loads, conventional AVR designs may struggle to handle these ever-changing circumstances efficiently. Therefore, the need for new optimization methods is crucial to bolstering the efficiency, reliability, and adaptability of AVRs. Thus, this work aims to improve the performance of the AVR system controller by using a novel hybrid technique between the Harmony Search (HS) and Dwarf Mongoose Optimization (DMO) algorithms to tune the proportional-integral-derivative (PID) and proportional-integral-derivative acceleration (PIDA) parameters. The suggested hybrid approach ensures an accurate solution with balanced exploration and exploitation rates. The reliability of the proposed HS-DMOA is verified through comparison with different optimization techniques carried out on time and frequency performance indicators, disturbances in the form of changes to time constants, and dynamic input signals. The proposed hybrid HS-DMOA PID-based has better overshoot than PID-based HS, LUS, TLBO, SMA, RSA, and L-RSAM by 20.37%, 18.5%, 18.5%, 2.77%, 5.55%, and 2.77%, respectively. Regarding the phase margin, the proposed hybrid HS-DMOA PID-based is better than PID-based HS, LUS, and TLBO by 39%, 37%, and 38%, respectively. While the proposed hybrid HS-DMOA PIDA-based has a better overshoot than PIDA-based HS, LUS, and PID HS-DMOA-based by 14%, 17%, and 20%, respectively. Moreover, the robustness under dynamic disturbance proved the reliability of the proposed HS-DMOA PID and PIDA based through enhancement of overshoot around 0.3%~20% for different cases. Finally, the main contribution of the paper is to propose a relatively new hybrid optimization method to enhance the AVR PID and PIDA-based performance with detailed analysis in time and frequency domains under normal and dynamic disturbances.
Hydration behavior of L-proline in the presence of mono, bis, tris-(2-hydroxyethyl) ammonium acetate protic ionic liquids: Thermophysical properties
Authors: Morsali Mohammad Amin , Shekaari Hemayat , Golmohammadi Behrang 
Published: November 2024

AbstractThe hydration behavior of amino acids, essential for biological macromolecules, is influenced by ammonium biomaterials. The protic ionic liquids (PILs) are gaining attention in the food and pharmaceutical industries due to their nontoxicity and adjustable properties. Thus, study of the amino acids, such as L-proline, in the presence of PILs is crucial for understanding their hydration behavior. In this work, the effect of PILs, including mono, bis, tris (2-hydroxyethyl)ammonium acetate protic ionic liquids that might be naturally produced in human body, on L-proline hydration behavior was studied using COSMO calculations and thermophysical measurements. Measurements were the density, speed of sound, viscosity, and refractive index data of the solutions (L-proline + PILs + water) at various PIL concentrations at temperatures (298.15 to 318.15) K and under atmospheric pressure. The study indicates L-proline has weaker interactions with water compared to PILs ([2-HEA][Ac], [bis-2-HEA][Ac], and [tris-2-HEA][Ac]) due to its compact structure and lower negative dielectric energy. PILs interact more strongly with water through hydrogen bonding. Increasing temperature affects L-proline’s hydration layer, releasing more water molecules compared to PIL solutions. This effect is more pronounced with [tris-2-HEA][Ac], likely due to its larger size and complex structure. While L-proline promotes an ordered water structure, PILs can disrupt this by rearranging water molecules and forming their own hydrogen bonds.
Impact of statistical poly(propylene co-ethylene) on the thermo-mechanical properties of high-density polyethylene
Authors: Darweesh Mohamed H. , Stoll Bernhard , El-Taweel Safaa H. 
Published: November 2024

AbstractA series of high-density polyethylene and a statistical copolymer of poly(propylene-co-ethylene) blends in a wide range, namely (0, 10, 20, 30, 40, 50, 60,70, 80, 90, 100) abbreviated as HDPE/VM were systematically investigated by using a rheometer, differential scanning calorimetry (DSC) measurements, polarized optical microscopy (POM) and tensile tests. Rheometer results show that adding VM decreases dynamic viscosity, storage, and loss modulus. Han plot shows that HDPE and VM are compatible and miscible in the range from 20 to 60 VM % in the molten state. DSC results show little nucleation effect of VM on HDPE (HDPE’s melt crystallization temperature shifts 2 °C higher). Moreover, a linear composition dependence of ∆cp ∆Hc, ∆Hm shows that PE and VM are most probably compatible in the molten state in composition range from 20 to 60%. However, upon crystallization, the VM and PE domains occur distinctively. The results of the tensile tests demonstrated a decrease in elastic modulus, yield stress, and ultimate tensile strength as VM content increased. At low VM content (less than 20%), high elongation at break was detected for the blends, and very fine spherulites of HDPE were found across the sample by POM.
A comparative study for optimizing photocatalytic activity of TiO2-based composites with ZrO2, ZnO, Ta2O5, SnO, Fe2O3, and CuO additives
Authors: Abdelfattah I. , El-Shamy A. M. 
Published: November 2024

AbstractDespite the widespread use of titanium dioxide (TiO2) in photocatalytic applications, its inherent limitations, such as low efficiency under visible light and rapid recombination of electron-hole pairs, hinder its effectiveness in environmental remediation. This study presents a comparative investigation of TiO2-based composites, including TiO2/ZrO2, ZnO, Ta2O3, SnO, Fe2O3, and CuO, aiming to assess their potential for enhancing photocatalytic applications. Photocatalysis holds promise in environmental remediation, water purification, and energy conversion, with TiO2 being a prominent photocatalyst. To improve efficiency and broaden applicability, various metal oxide composites have been explored. Composites were synthesized and characterized using techniques such as XRD, SEM, TEM, and zeta potential analysis to evaluate their structural and morphological properties. Photocatalytic performance was assessed by degrading herbicide Imazapyr under UV illumination. Results revealed that, the photo-activity of all prepared composites were more effective than the photo-activity of commercial hombikat UV-100. The photonic-efficiency is arranged according to the order TiO2/CuO > TiO2/SnO > TiO2/ZnO > TiO2/Ta2O3 > TiO2/ZrO2 > TiO2/Fe2O3 > Hombikat TiO2-UV100. All composites exhibited superior performance, attributed to enhanced light absorption and charge separation. The study underscores the potential of these composites for environmental remediation and energy conservation, offering valuable insights for the development of advanced photocatalysts.