bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single‐Site Ni‐Grafted TiO2 with Diverse Coordination Environments for Visible‐Light Hydrogen Production
Authors: Zhang Pu , Zeng Haihua , Wen Decai , Sui Xiaoyu , Wang Zhuan , Wang Ying , Chen Hailong , Weng Yuxiang , Long Jinlin 
Published: September 2023

AbstractSolar hydrogen production at a high efficiency holds the significant importance in the age of energy crisis, while the micro‐environment manipulation of active sites on photocatalysts plays a profound role in enhancing the catalytic performance. In this work, a series of well‐defined single‐site Ni‐grafted TiO2 photocatalysts with unique and specific coordination environments, 2,2′‐bipyridine‐Ni−O−TiO2 (T−Ni Bpy) and 2‐Phenylpyridine‐Ni−O−TiO2 (T−Ni Phpy), were constructed with the methods of surface organometallic chemistry combined with surface ligand exchange for visible‐light‐induced photocatalytic hydrogen evolution reaction (HER). A prominent rate of 33.82 μmol ⋅ g−1 ⋅ h−1 and a turnover frequency of 0.451 h−1 for Ni are achieved over the optimal catalyst T−Ni Bpy for HER, 260‐fold higher than those of Ni−O−TiO2. Fewer electrons trapped oxygen vacancies and a larger portion of long‐lived photogenerated electrons (>3 ns, ~52.9 %), which were demonstrated by the electron paramagnetic resonance and femtosecond transient IR absorption, correspond to the photocatalytic HER activity over the T−Ni Bpy. The number of long‐lived free electrons injected from the Ni photoabsorber to the conduction band of TiO2 is one of the determining factors for achieving the excellent HER activity.
OMIP‐095: 40‐Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues
Authors: Kare Aris J. , Nichols Lisa , Zermeno Ricardo , Raie Marina N. , Tumbale Spencer K. , Ferrara Katherine W. 
Published: September 2023

AbstractHigh‐dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40‐color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co‐stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre‐clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40‐color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping.
Blessing and curse of bioclimatic variables: A comparison of different calculation schemes and datasets for species distribution modeling within the extended Mediterranean area
Authors: Merkenschlager Christian , Bangelesa Freddy , Paeth Heiko , Hertig Elke 
Published: September 2023

AbstractBioclimatic variables (BCVs) are the most widely used predictors within the field of species distribution modeling, but recent studies imply that BCVs alone are not sufficient to describe these limits. Unfortunately, the most popular database, WorldClim, offers only a limited selection of bioclimatological predictors; thus, other climatological datasets should be considered, and, for data consistency, the BCVs should also be derived from the respective datasets. Here, we investigate how well the BCVs are represented by different datasets for the extended Mediterranean area within the period 1970–2020, how different calculation schemes affect the representation of BCVs, and how deviations among the datasets differ regionally. We consider different calculation schemes for quarters/months, the annual mean temperature (BCV‐1), and the maximum temperature of the warmest month (BCV‐5). Additionally, we analyzed the effect of different temporal resolutions for BCV‐1 and BCV‐5. Differences resulting from different calculation schemes are presented for ERA5‐Land. Selected BCVs are analyzed to show differences between WorldClim, ERA5‐Land, E‐OBS, and CRU. Our results show that (a) differences between the two calculation schemes for BCV‐1 diminish as the temporal resolution decreases, while the differences for BCV‐5 increase; (b) with respect to the definition of the respective month/quarter, intra‐annual shifts induced by the calculation schemes can have substantially different effects on the BCVs; (c) all datasets represent the different BCVs similarly, but with partly large differences in some subregions; and (d) the largest differences occur when specific month/quarters are defined by precipitation. In summary, (a) since the definition of BCVs matches different calculation schemes, transparent communication of the BCVs calculation schemes is required; (b) the calculation, integration, or elimination of BCVs has to be examined carefully for each dataset, region, period, or species; and (c) the evaluated datasets provide, except in some areas, a consistent representation of BCVs within the extended Mediterranean region.
Population genetic structure of a Chihuahuan Desert endemic mammal, the desert pocket gopher,Geomys arenarius
Authors: Pfau Russell S. , Kozora Ashley N. , Gatica‐Colima Ana B. , Sudman Philip S. 
Published: September 2023

AbstractThe biogeographic history of the Chihuahuan Desert is complex, driven by numerous physiographic events and climatic changes. This dynamic history would have influenced the flora and fauna of the region including the desert pocket gopher,Geomys arenarius, a subterranean rodent endemic to the northern Chihuahuan Desert.G. arenariusis restricted to sandy soils and are considered to have a disjunct distribution. Two subspecies are recognized:G. a. arenariusandG. a. brevirostris. We used multilocus nuclear (amplified fragment length polymorphisms) and mitochondrial DNA (ND2) sequence data to uncover patterns of genetic diversity within and among populations ofG. arenarius. We evaluated correspondence of genetic patterns to traditionally accepted subspecies boundaries, mapped the distribution of potentially suitable soils to identify barriers or corridors to dispersal and to guide future survey efforts, provided evidence that could be used to recognize distinct population segments, and quantified genetic diversity within populations. Both datasets were largely concordant and demonstrated hierarchical patterns of genetic divergence. The greatest divergence was consistent with the two recognized subspecies. Mapping of potentially habitable soils revealed likely barriers to dispersal contributing to the allopatric pattern of geographic distribution and areas, which may be occupied byG. arenariusbut not yet documented. BecauseG. arenariusis restricted to soils with high sand content, and these habitable soils are disjunct within the region occupied by this species, historical factors that impacted soil deposition and deflation likely contributed to the observed patterns of genetic divergence. Genetic diversity was higher within populations of the southern subspecies (G. a. arenarius) compared toG. a. brevirostris. This may be due to a greater availability of continuous suitable soils within the range ofG. a. arenariusor higher density due to greater food availability (currently or historically)—both of which could allow for a higher effective population size.
Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework
Authors: Bagherdoost Mohammad , Askarzadeh Alireza 
Published: September 2023

AbstractHybridization of photovoltaic (PV) module (as a non‐dispatchable resource), diesel generator (as a dispatchable source), and pumped hydro storage (PHS) (as an energy storage) can provide a promising hybrid energy system (HES). The main outlook of the present study is to develop an efficient multi‐objective framework for optimal design of an off‐grid PV/diesel/PHS HES in which a wide range of parameters related to PHS system is optimized. In the optimization framework, nine decision variables (number of PV modules, number of diesel generators, reservoir installation height, reservoir depth, reservoir diameter, pump's rated power, turbine's rated power, charge pipe diameter, and discharge pipe diameter) are optimized with respect to two objective functions: total net present cost (TNPC) and loss of power supply probability (LPSP). To determine how TNPC is affected by the change of the input variables, a sensitivity analysis is conducted by varying capital cost of PV, PHS, and diesel generator. To obtain a well‐distributed and widely spread Pareto front, a multi‐objective chaotic crow search algorithm (MO‐CCSA) is introduced. Simulation results show that at LPSP = 0% and 5%, levelized cost of energy is around 0.59 and 0.55 $/kWh, respectively. Moreover, variation of the PV capital cost has a significant impact on the TNPC value.
Crude oil price forecasting: An ensemble‐driven long short‐term memory model based on CEEMDAN decomposition and ALS‐PSO optimization
Authors: Wang Xiaoyi , Yang Pei , Zhou Xiaofeng , Wang Zhong 
Published: September 2023

AbstractAs the lifeline of various industries, crude oil is frequently considered a pillar of economic development. The accurate and reliable prediction of crude oil price can provide investors and decision makers with valuable guidance for formulating their strategies. However, the complexity of the crude oil market and the volatility of oil prices pose significant challenges to forecasting crude oil price. To achieve higher prediction accuracy, this paper proposes a new model in which a new modal component reconstruction rule based on sample entropy (SE) is innovatively proposed and includes an improved particle swarm optimization model to avoid getting trapped in a local optimal solution. Two real crude oil price series are selected for experimentation, and the results demonstrate that the proposed model exhibits superior performance in predicting crude oil price. The developed model outperforms the compared models in terms of mean absolute error, root‐mean‐square error, mean absolute percentage error, and coefficient of determination. This result indicates that Complete Ensemble Empirical Mode Decomposition with Adaptive Noise exhibits better decomposition performance. SE can effectively reduce error accumulation, and particle swarm optimization with an adaptive learning strategy (ALS‐PSO) achieves better optimization results for a long short‐term memory network compared with PSO only. Therefore, the proposed model is an effective crude oil price prediction tool that can be applied in practice for investment and policy‐making.
Fault detection through discrete wavelet transform in overhead power transmission lines
Authors: Ahmed Nadeem , Hashmani Ashfaq Ahmed , Khokhar Sohail , Tunio Mohsin Ali , Faheem Muhammad 
Published: September 2023

AbstractTransmission lines are a very important and vulnerable part of the power system. Power supply to the consumers depends on the fault‐free status of transmission lines. If the normal working condition of the power system is disturbed due to faults, the persisting fault of long duration results in financial and economic losses. The fault analysis has an important association with the selection of protective devices and reliability assessment of high‐voltage transmission lines. It is imperative to devise a suitable feature extraction tool for accurate fault detection and classification in transmission lines. Several feature extraction techniques have been used in the past but due to their limitations, that is, for use in stationary signals, limited space in localizing nonstationary signals, and less robustness in case of variations in normal operation conditions. Not suitable for real‐time applications and large calculation time and memory requirements. This research presents a discrete wavelet transform (DWT)‐based novel fault detection technique at different parameters, that is, fault inception and fault resistance with proper selection of mother wavelet. In this study, the feasibility of DWT using MATLAB software has been investigated. It has been concluded from the simulated data that wavelet transform together with an effective classification algorithm can be implemented as an effective tool for real‐time monitoring and accurate fault detection and classification in the transmission lines.
Determinants of disagreement: Learning from inflation expectations survey of households
Authors: Singh Gaurav Kumar , Bandyopadhyay Tathagata 
Published: September 2023

AbstractFor efficient conduct of monetary policy, the central banks need to manage inflation expectations. Disagreement is a measure of how well inflation expectations are anchored. Thus, for effective management of inflation expectations, identifying the determinants of disagreement and understanding the process of its formation are crucial. In this paper, we present an empirical analysis of the households inflation expectations survey data conducted by the Reserve Bank of India. Our findings are as follows: (i) The disagreement is highly persistent; (ii) the households' inflation forecasts depend on their day to day purchasing experiences; (iii) in high inflation periods, they tend to overpredict; (iv) inflation targeting seems to reduce disagreement; and (v) the gender and age of the agents seem to have an effect on disagreement. Finally, contrary to the findings in developed economies, we observe a negative correlation of disagreement with inflation. We provide a theoretical explanation for it supported with an empirical analysis.
Oligodendrocyte development and myelin sheath formation are regulated by the antagonistic interaction between the Rag‐Ragulator complex and TFEB
Authors: Bouchard Ellen L. , Meireles Ana M. , Talbot William S. 
Published: September 2023

AbstractMyelination by oligodendrocytes is critical for fast axonal conduction and for the support and survival of neurons in the central nervous system. Recent studies have emphasized that myelination is plastic and that new myelin is formed throughout life. Nonetheless, the mechanisms that regulate the number, length, and location of myelin sheaths formed by individual oligodendrocytes are incompletely understood. Previous work showed that the lysosomal transcription factor TFEB represses myelination by oligodendrocytes and that the RagA GTPase inhibits TFEB, but the step or steps of myelination in which TFEB plays a role have remained unclear. Here, we show that TFEB regulates oligodendrocyte differentiation and also controls the length of myelin sheaths formed by individual oligodendrocytes. In the dorsal spinal cord of tfeb mutants, individual oligodendrocytes produce myelin sheaths that are longer than those produced by wildtype cells. Transmission electron microscopy shows that there are more myelinated axons in the dorsal spinal cord of tfeb mutants than in wildtype animals, but no significant change in axon diameter. In contrast to tfeb mutants, oligodendrocytes in rraga mutants produce shorter myelin sheaths. The sheath length in rraga; tfeb double mutants is not significantly different from wildtype, consistent with the antagonistic interaction between RagA and TFEB. Finally, we find that the GTPase activating protein Flcn and the RagCa and RagCb GTPases are also necessary for myelination by oligodendrocytes. These findings demonstrate that TFEB coordinates myelin sheath length and number during myelin formation in the central nervous system.
The effect of TEMPOL pretreatment on postoperative cognitive function, inflammatory response, and oxidative stress in aged rats under sevoflurane anesthesia
Authors: Liu Tianpin , Chen Tianzi , Gong Jianhua , You Changchang , Zhang Bo , Luo Caiyun , Liu Zhigui , Chen Chun 
Published: September 2023

AbstractIntroductionThe heterocyclic compound 4‐hydroxy‐(2,2,6,6‐Tetramethylpiperidin‐1‐yl)oxyl (TEMPOL) has a protective effect on neurological function in brain tissues damaged by ischemia and hypoxia. This study explored the effects of TEMPOL pretreatment on postoperative cognitive function in aged rats under sevoflurane anesthesia, focusing on inflammatory response and oxidative stress.MethodsSixty male rats were divided into normal control (C), sevoflurane anesthesia (S), TEMPOL pretreatment (T), and sevoflurane anesthesia + TEMPOL pretreatment (ST) groups (15 per group). Groups T and ST rats received continuous intraperitoneal TEMPOL (100 mg/kg) for 3 days, while groups C and S rats were injected with 0.9% saline. After pretreatment, groups S and ST received 3% sevoflurane anesthesia.ResultsRats in group S exhibited a longer swimming distance, longer escape latency, lower frequency of platform crossing, and shorter dwell time in the targeted quadrant than those in groups C and T. Rats in group ST exhibited a shorter swimming distance, shorter escape latency, higher frequency of platform crossing, and longer dwell time in the targeted quadrant than those in group S. The expressions of interleukin‐6, tumor necrosis factor‐α, inducible nitric oxide synthase, and Ym1/2 messenger ribonucleic acid were higher in groups S and ST rats than in groups C and T rats and lower in group ST rats than in group S rat (p < .05). Superoxide dismutase (SOD), total antioxidant capacity (T‐AOC), and glutathione peroxidase (GSH‐Px) were lower, while malondialdehyde (MDA) was higher in groups S and ST rats than in groups C and T rats (p < .05). Group ST showed higher SOD, T‐AOC, and GSH‐Px, and lower MDA than group S (p < .05).ConclusionsTEMPOL pretreatment attenuated postoperative cognitive impairment induced by sevoflurane anesthesia in aged rats. This may be attributed to the downregulation of NR2B‐CREB‐BDNF pathway, reducing the inflammatory response and oxidative stress damage in hippocampal tissue.
Aging, inadequacy, and fiscal constraint: The case of Thailand
Authors: Poonpolkul Phitawat , Porapakkarm Ponpoje , Wasi Nada 
Published: September 2023

AbstractWe use an overlapping generations model to study the challenge in developing countries with a large informal sector and aging population. We use Thailand as a case study and incorporate its labor market structure and its public pension system into the calibrated model. Unlike developed countries, workers in developing countries commonly transit from the formal sector to the informal sector, which can be in the early stage of their working life. This labor market feature crucially limits the coverage of the contributory social security (SS) system. We find that 66% of Thai elderly (aged 60 or over) are ineligible for SS annuity benefits because of an insufficient number of years paying into the SS fund. In addition, we use our model to evaluate two schemes to raise the existing universal basic pension income to the poverty line, namely, uniform benefits and pension‐tested benefits. We find that pension‐testing effectively improves the targeting efficiency, and nontrivially lowers the cost of the basic pension income program.
Gastric Colonization as a Consequence of Stress Ulcer Prophylaxis: A Prospective, Randomized Trial
Authors: Ortiz Jorge E. , Sottile Frank D. , Sigel Pamela , Nasraway Stanley A. 
Published: September 2023

Study Objective. To evaluate gastric alkalization and bacterial colonization in critically ill patients receiving stress ulcer prophylaxis with gastric tube feeds, sucralfate, intermittent intravenous cimetidine, or continuous intravenous cimetidine.Design. Prospective, randomized, unblinded trial.Setting. Medical and surgical intensive care units of a large university‐affiliated, tertiary care community hospital.Patients. Fifty‐three evaluable critically ill patients with respiratory failure requiring mechanical ventilation.Interventions. Patients not receiving nasogastric tube feeds were randomized to sucralfate 1 g every 6 hours, cimetidine 300 mg by intravenous bolus every 8 hours, or cimetidine 900 mg by continuous intravenous infusion/24 hours. Gastric samples were obtained daily for pH and culture.Measurements and Main Results. Patients with respiratory failure and a high mortality rate had a mean gastric pH of 1.96 ± 1.5 at study entry. There were no significant differences in gastric pH or gastric colonization among the three arms. Fourteen patients (26%) developed gastric colonization, which was statistically significant but poorly correlated with gastric alkalinity (r2=0.08, p<0.043).Conclusion. Gastric luminal pH was unchanged regardless of which method was used for stress ulcer prophylaxis. Bacterial colonization was increasingly likely in patients with a persistent alkaline gastric environment.
Managing Patients With Unlabeled Passive Implants on MR Systems Operating Below 1.5 T
Authors: Shellock Frank G. , Rosen Matthew S. , Webb Andrew , Kimberly W. Taylor , Rajan Sunder , Nacev Aleksandar N. , Crues John V. 
Published: September 2023

The standard of care for managing a patient with an implant is to identify the item and to assess the relative safety of scanning the patient. Because the 1.5 T MR system is the most prevalent scanner in the world and 3 T is the highest field strength in widespread use, implants typically have “MR Conditional” (i.e., an item with demonstrated safety in the MR environment within defined conditions) labeling at 1.5 and/or 3 T only. This presents challenges for a facility that has a scanner operating at a field strength below 1.5 T when encountering a patient with an implant, because scanning the patient is considered “off‐label.” In this case, the supervising physician is responsible for deciding whether to scan the patient based on the risks associated with the implant and the benefit of magnetic resonance imaging (MRI). For a passive implant, the MRI safety‐related concerns are static magnetic field interactions (i.e., force and torque) and radiofrequency (RF) field‐induced heating. The worldwide utilization of scanners operating below 1.5 T combined with the increasing incidence of patients with implants that need MRI creates circumstances that include patients potentially being subjected to unsafe imaging conditions or being denied access to MRI because physicians often lack the knowledge to perform an assessment of risk vs. benefit. Thus, physicians must have a complete understanding of the MRI‐related safety issues that impact passive implants when managing patients with these products on scanners operating below 1.5 T. This monograph provides an overview of the various clinical MR systems operating below 1.5 T and discusses the MRI‐related factors that influence safety for passive implants. Suggestions are provided for the management of patients with passive implants labeled MR Conditional at 1.5 and/or 3 T, referred to scanners operating below 1.5 T. The purpose of this information is to empower supervising physicians with the essential knowledge to perform MRI exams confidently and safely in patients with passive implants.Level of Evidence1Technical EfficacyStage 3