bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hidden in plain sight: Integrated population models to resolve partially observable latent population structure
Authors: Lawson Abigail J. , Jodice Patrick G. R. , Rainwater Thomas R. , Dunham Kylee D. , Hart Morgan , Butfiloski Joseph W. , Wilkinson Philip M. , McFadden K. W. , Moore Clinton T. 
Published: December 2022

AbstractPopulation models often require detailed information on sex‐, age‐, or size‐specific abundances, but population monitoring programs cannot always acquire data at the desired resolution. Thus, state uncertainty in monitoring data can potentially limit the demographic resolution of management decisions, which may be particularly problematic for stage‐ or size‐structured species subject to consumptive use. American alligators (Alligator mississippiensis; hereafter alligator) have a complex life history characterized by delayed maturity and slow somatic growth, which makes the species particularly sensitive to overharvest. Though alligator populations are subject to recreational harvest throughout their range, the most widely used monitoring method (nightlight surveys) is often unable to obtain size class‐specific counts, which limits the ability of managers to evaluate the effects of harvest policies. We constructed a Bayesian integrated population model (IPM) for alligators in Georgetown County, SC, USA, using records of mark–recapture–recovery, clutch size, harvest, and nightlight survey counts collected locally, and auxiliary information on fecundity, sex ratio, and somatic growth from other studies. We created a multistate mark–recapture–recovery model with six size classes to estimate survival probability, and we linked it to a state‐space count model to derive estimates of size class‐specific detection probability and abundance. Because we worked from a count dataset in which 60% of the original observations were of unknown size, we treated size class as a latent property of detections and developed a novel observation model to make use of information where size could be partly observed. Detection probability was positively associated with alligator size and water temperature, and negatively influenced by water level. Survival probability was lowest in the smallest size class but was relatively similar among the other five size classes (>0.90 for each). While the two nightlight survey count sites exhibited relatively stable population trends, we detected substantially different patterns in size class‐specific abundance and trends between each site, including 30%–50% declines in the largest size classes at the site with greater harvest pressure. Here, we illustrate the use of IPMs to produce high‐resolution output of latent population structure that is partially observed during the monitoring process.
Host density shapes the relative contribution of vector‐based and aerial transmission of a pathogenic fungus
Authors: Antonovics Janis , Amoroso Caroline R. , Bruns Emily , Hood Michael 
Published: December 2022

AbstractPathogen transmission mode is a key determinant of epidemiological outcomes. Theory shows that host density can influence the spread of pathogens differentially depending on their mode of transmission. Host density could therefore play an important role in determining the pathogen transmission mode. We tested theoretical expectations using floral arrays of the alpine carnation Dianthus pavonius in field experiments of spore dispersal of the anther‐smut fungus, Microbotryum, by vector (pollinator)‐based floral transmission and passive aerial transmission at a range of host densities. Pollinators deposited fewer spores per plant at high host density than at lower density (ranging from a 0.2–2 m spacing between plants), and vector‐based spore deposition at higher densities declined more steeply with distance from diseased plant sources. In contrast, while aerial spore deposition declined with distance from the diseased source, the steepness of this decline was independent of host density. Our study indicates that the amount and distance of vector‐based transmission are likely to be a nonmonotonic function of host density as a result of vector behavior, which is not readily encapsulated by fixed dispersal functions. We conclude that the spatial spread of pathogens by vectors is likely to be greater at lower and intermediate densities, whereas the spatial spread of aerially transmitted pathogens would be greater at high densities. These contrasting patterns could lead to differential importance of each transmission mode in terms of its contribution to subsequent infections across host densities.
Anger in predicting the index futures returns
Authors: Cao Zhen , Shen Jiancheng , Wei Xinbei , Zhang Qunzi 
Published: December 2022

AbstractThis paper aims to investigate how different emotions affect the subsequent index futures returns. We test the forecasting regressions which predict the S&P 500 index futures returns with lagged text‐based emotion (anger, joy, fear, optimism, and gloom) indices and find asymmetric forecasting power exists between pessimism and optimism emotion indices. We show that only the text‐based anger index could reliably perform at predicting index futures return in‐sample and outperform the prevailing unconditional mean out‐of‐sample. Notably, the predictive power of the text‐based anger index persists after controlling for other emotion indices, investor sentiment indices, and fundamental variables known to predict the futures market. And the asset allocation conditioning on text‐based anger index can generate substantial economic benefits. Furthermore, the anger index influences the index futures return through both the discount rate and cash flow channels.
Corporate social responsibility assurance, board characteristics and social performance disclosure. Evidence of listed firms in India
Authors: Oware Kofi Mintah , Moulya Harshitha , Mallikarjunappa Thathaiah 
Published: December 2022

AbstractThe study examines board characteristics, corporate social responsibility (CSR) assurance and social performance disclosure of listed firms before and after mandatory CSR reporting in India. We used the Indian stock market as the testing grounds and applied panel regression and difference‐in‐differences to analyse 960 firm‐year observations between 2010 and 2021. The first findings show that independent board directors and total board size are insignificant in CSR assurance engagement in a mandatory CSR policy period. However, CEO duality is less than likely causing CSR assurance engagement. The second findings show that CSR assurance engagement more than likely causes an increase in social performance disclosure before mandatory CSR policy implementation and increases social performance after policy implementation. The third findings show that the interactive effect of board characteristics (independent directors, total board size and CEO duality) and CSR assurance engagement causes an increase in social performance disclosure. The study sought clarity on the impact of CSR assurance and mandatory CSR reporting on information asymmetry problems to stakeholders. The study also contributes new knowledge on the influence of the interactive effect of board characteristics and CSR assurance on the social performance disclosure of listed firms in India.
Phosphoproteomic analysis identifies supervillin as an ERK3 substrate regulating cytokinesis and cell ploidy
Authors: Javary Joaquim , Goupil Eugénie , Soulez Mathilde , Kanshin Evgeny , Bouchard Antoine , Seternes Ole‐Morten , Thibault Pierre , Labbé Jean‐Claude , Meloche Sylvain 
Published: December 2022

AbstractExtracellular signal‐regulated kinase 3 (ERK3) is a poorly characterized member of the mitogen‐activated protein (MAP) kinase family. Functional analysis of the ERK3 signaling pathway has been hampered by a lack of knowledge about the substrates and downstream effectors of the kinase. Here, we used large‐scale quantitative phosphoproteomics and targeted gene silencing to identify direct ERK3 substrates and gain insight into its cellular functions. Detailed validation of one candidate substrate identified the gelsolin/villin family member supervillin (SVIL) as a bona fide ERK3 substrate. We show that ERK3 phosphorylates SVIL on Ser245 to regulate myosin II activation and cytokinesis completion in dividing cells. Depletion of SVIL or ERK3 leads to increased cytokinesis failure and multinucleation, a phenotype rescued by wild type SVIL but not by the non‐phosphorylatable S245A mutant. Our results unveil a new function of the atypical MAP kinase ERK3 in cell division and the regulation of cell ploidy.
Associations of metabolic heterogeneity of obesity with frailty progression: Results from two prospective cohorts
Authors: He Di , Qiu Yiwen , Yan Mengsha , Zhou Tianjing , Cheng Zongxue , Li Jun , Wu Qiong , Liu Zuyun , Zhu Yimin 
Published: December 2022

AbstractBackgroundPrevious studies indicated that obesity would accelerate frailty progression. However, obesity is heterogeneous by different metabolic status. The associations of metabolic heterogeneity of obesity with frailty progression remain unclear.MethodsA total of 6730 participants from the China Health and Retirement Longitudinal Study (CHARLS) and 4713 from the English Longitudinal Study of Ageing (ELSA) were included at baseline. Metabolic heterogeneity of obesity was evaluated based on four obesity and metabolic phenotypes as metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy overweight/obesity (MHOO), and metabolically unhealthy overweight/obesity (MUOO). Frailty status was assessed by the frailty index (FI) ranging from 0 to 100 and frailty was defined as FI ≥ 25. Linear mixed‐effect models were used to analyse the associations of metabolic heterogeneity of obesity with frailty progression.ResultsIn the CHARLS, MUOO and MUNW presented the accelerated FI progression with additional annual increases of 0.284 (95% CI: 0.155 to 0.413, P < 0.001) and 0.169 (95% CI: 0.035 to 0.303, P = 0.013) as compared with MHNW. MHOO presented no accelerated FI progression (β: ‐0.011, 95% CI: −0.196 to 0.173, P = 0.904) as compared with MHNW. In the ELSA, the accelerated FI progression was marginally significant for MUOO (β: 0.103, 95% CI: −0.005 to 0.210, P = 0.061) and MUNW (β: 0.157, 95% CI: −0.011 to 0.324, P = 0.066), but not for MHOO (β: ‐0.047, 95% CI: −0.157 to 0.062, P = 0.396) in comparison with MHNW. The associations of MUOO and MUNW with the accelerated FI progression were stronger after excluding the baseline frail participants in both cohorts. The metabolic status changed over time. When compared with stable MHNW, participants who changed from MHNW to MUNW presented the accelerated FI progression with additional annual increases of 0.356 (95% CI: 0.113 to 0.599, P = 0.004) and 0.255 (95% CI: 0.033 to 0.477, P = 0.024) in the CHARLS and ELSA, respectively. The accelerated FI progression was also found in MHOO participants who transitioned to MUOO (CHARLS, β: 0.358, 95% CI: 0.053 to 0.663, P = 0.022; ELSA, β: 0.210, 95% CI: 0.049 to 0.370, P = 0.011).ConclusionsMetabolically unhealthy overweight/obesity and normal weight, but not metabolically healthy overweight/obesity, accelerated frailty progression as compared with metabolically healthy normal weight. Regardless of obesity status, transitions from healthy metabolic status to unhealthy metabolic status accelerated frailty progression as compared with stable metabolically healthy normal weight. Our findings highlight the important role of metabolic status in frailty progression and recommend the stratified management of obesity based on metabolic status.
Removal of Cu(II) from acid leach solution of electronic waste utilizing magnetic activated carbon derivatized with α‐benzoinoxime: alternate mining source
Authors: Iqbal Aamir , Jan Muhammad. Rasul. , Shah Jasmin , Sarwar M. Nazim 
Published: December 2022

AbstractBACKGROUNDCopper plays a leading role in the electronics industry. Drastic innovation and fast obsolescence rate raise the demand for copper for electrical and electronic equipment. The high amount of electronic waste discarded is considered the primary alternative source and is now seen as a secondary reservoir for copper metal. Besides the economic impact, copper interferes with selective recovery of other metals such as critical, precious and rare earth elements from electronic waste.RESULTSIn this work, to purify acid leach solution of electronic waste from Cu(II) ions, a selective sorbent was synthesized. A Cu(II) specified ligand, α‐benzoinoxime, was impregnated with magnetic nanoparticle‐modified activated carbon and utilized as magnetic solid‐phase sorbent. The synthesized sorbent was analysed for its morphological and other characteristic properties.CONCLUSIONThe study indicates that percent recovery increased from 89% to >95% after impregnation. Complexation between Cu(II) and α‐benzoinoxime‐modified activated carbon caused the sorbent to attain higher retention at pH > 8.5. Sorption capacity calculated from Langmuir sorption isotherm was 147 mg g−1, while the sorption process follows a pseudo‐second‐order kinetic model. The sorbed Cu(II) was quantitatively (>97%) eluted with 1 mol L−1nitric acid. The method was validated with standard reference material GF10928752‐Aldrich. Results show that the synthesized sorbent is good for Cu(II) masking and recovery, even if applied to samples with a complex sample matrix. © 2022 Society of Chemical Industry (SCI).
Green synthesis of ZnFe2O4 nanoparticles using Chrysanthemum spp. flower extract for the adsorption and photocatalytic degradation of malachite green dye
Authors: Nguyen Uyen Thi Phuong , Bui Duyen Xuan My , Nguyen Thuy Thi Thanh , Nguyen Ngoc Hoi , Nguyen Duyen Thi Cam , Tran Thuan Van 
Published: December 2022

AbstractBACKGROUNDNowadays, the large amount of organic textile dyes being regularly consumed also releases hazardous residues into water sources. Nanotechnology can solve part of this problem by using nanoparticles as adsorbents and catalysts for the removal of dyes from water. The present study explored the facile and green synthesis of ZnFe2O4 nanoparticles using Chrysanthemum spp. flower‐mediated extract (ZFOB) as a reducing and capping agent for the removal of cationic malachite green (MG). ZFOB nanoparticles were characterized by various techniques, such as X‐ray diffraction, Fourier transform infrared spectroscopy, and scanning electron microscopy.RESULTSThe average particle size and Brunauer‐Emmett‐Teller (BET) surface area of ZFOB were found to be 60–80 nm and 10.9 m2/g, respectively. The pore size distribution indicated a characteristic of meso‐macropores of the biosynthesized ZFOB nanoparticles. The MG adsorption of the green ZFOB nanoparticles was investigated under batch mode through the effect of various parameters, including contact time (0–60 min), initial concentration (5–100 mg/L), pH (4.0–10.0), and adsorbent dosage (0.25–1.0 g/L). The adsorption process followed the Elovich kinetic model, () = 0.9992, while the adsorption behavior can be described by Koble‐Corrigan, () = 0.9915. Meanwhile, the maximum adsorption capacity was 121.2 mg/g from the Langmuir model at a contact time of 30 min, dosage of 0.5 g/L, and pH 7. Green ZFOB nanoparticles showed a good photocatalytic activity (80.4%) under solar light irradiation and they were able to be recycled up to four times while retaining their high stability.CONCLUSIONZnFe2O4 nanoparticles biosynthesized using Chrysanthemum spp. flower extract can be a good adsorbent and photocatalyst for the removal of MG dye. © 2022 Society of Chemical Industry (SCI).
Stepwise cluster ensemble downscaling for drought projection under climate change
Authors: Wen Yizhuo , Yang Aili , Fan Yurui , Wang Bingqing , Scott Daniel 
Published: December 2022

AbstractDrought is one of the most serious natural disasters exacerbated by climate change. Changes in precipitation and temperature in the future increase the likelihood of drought in China. In this study, a stepwise cluster ensemble downscaling (SCED) model was developed to bias‐correct projections of temperature and precipitation from multiple RCM outputs, and further characterized the drought hazards. The developed SCED model was used to aggregate and correct the results of multiple regional climate models, and its performance was proved to be reliable by comparing with the observed results. The proposed SCED method has been applied for drought projections over the Fujian province, China. The results showed that the changes of precipitation and temperature in Fujian would have obvious spatial heterogeneous characteristics. The temperature in the southeast coastal areas will increase by up to 4°C and the precipitation will decrease by 3.1% in the late 21st century, while the temperature rises and precipitation increases in the southwest. Temperature in inland areas will be lower and precipitation will be less. The drought hazards were also characterized by both SPI and SPEI based on biased‐corrected projections from SCED model. According to the SPI and SPEI indices, although the number of dry months in Fujian province will not change significantly in future, the spatial and temporal heterogeneity may become more explicit. Moreover, the moderate drought (from SPI) may increase while the general drought may decrease (from both SPI and SPEI). For extreme droughts, there would not be visible changes detected by SPI, but an increasing trend characterized since the impact of temperature was included in SPEI. In addition, there would be an increasing trend on drought when increasing temperature and precipitation occurred simultaneously.
Interproximal implant thread exposure after initial bone remodeling as a risk indicator for peri‐implantitis
Authors: Ravidà Andrea , Samal Ankita , Qazi Musa , Webber Liana Preto , Wang Hom‐Lay , Galindo‐Moreno Pablo , Borgnakke Wenche S. , Saleh Muhammad H. A. 
Published: December 2022

AbstractBackgroundDue to the clinical challenges involved in successfully treating peri‐implantitis, it is imperative to identify patient‐ and implant‐level risk factors for its prevention. The main goal of this retrospective longitudinal radiographic and clinical study was to investigate whether interproximal radiographic implant thread exposure after physiological bone remodeling may be a risk factor for peri‐implantitis. The secondary goal was to evaluate several other potential risk indicators.MethodsOf 4325 active dental school patients having implants placed, 165 partially edentulous adults (77 men, 88 women) aged 30–91 with ≥2 years of follow‐up upon implant restoration were included. Implants with ≥1 interproximal thread exposed (no bone‐to‐implant contact) (n = 98, 35%) constituted the test group and those without exposed threads (n = 182, 65%) the control group. Descriptive, binary, and multivariate regression analyses were evaluated for goodness of fit. Wald tests were used to evaluate for significance set at 0.05.ResultsOf the 280 implants (98 test, 182 control), 8 (2.9%) failed over a mean follow‐up period of 7.67 (±2.63) years, and 27 implants (19 test, 8 control) developed peri‐implantitis, with the exposed group having eight‐fold (7.82 times) adjusted greater odds than the non‐exposed. The risk increased four‐fold (3.77 times) with each thread exposed. No other patient‐ or implant‐related potentially confounding risk factors were identified.ConclusionsExposed interproximal implant threads after physiologic bone remodeling may be an independent risk indicator for incident peri‐implantitis. Hence, clinicians should closely monitor patients with implant threads that have no bone‐to‐implant contact for incident peri‐implantitis.
The direct and legacy effects of drying‐rewetting cycles on active and relatively resistant soil carbon decomposition
Authors: Zhang Shuai , Lin Junjie , Wang Peng , Zhu Biao 
Published: December 2022

AbstractGlobal climate change is expected to increase the frequency of drought and heavy precipitation, which could create more frequent drying‐rewetting cycles (DWC) in the soils. Although the DWC effects on soil organic carbon (SOC) decomposition have been widely studied, the effect of DWC and the subsequent legacy effect on the decomposition of different SOC pools is still unclear. We conducted a 128‐d laboratory incubation to investigate the DWC effects by using soils from old‐field for 15 years (OF, representing active SOC), bare‐fallow (BF)for 15 years, and BF for 23 years plus an extra 815‐d incubation (BF+, representing relatively resistant SOC). The experiment included nine 10‐d DWC of three treatments: (1) one mean constant‐moisture at 60% water‐holding capacity (WHC), (2) a mild DWC with 10‐d drying to 40% WHC and immediately rewetting to 80% WHC, and (3) a strong DWC with 10‐d drying to 20% WHC and immediately rewetting to 100% WHC. Following the DWC period (0–90 d), there was a 10‐d stabilization period (adjusting all treatments to 60% WHC), and then a 28‐d extended incubation under the constant moisture of 60% WHC. During the DWC period, the strong DWC had a strong effect on CO2 release compared with the constant‐moisture control, reducing the SOC decomposition of OF by 8% and BF by 10%, while increasing the SOC decomposition of BF+ by 16%. In addition, during the extended period, both mild and strong DWC significantly increased SOC mineralization of OF, but decreased that of BF and BF+. This legacy effect induced by DWC compensated for the changes in CO2 release during the DWC period, resulting in the minor response of SOC decomposition of OF and BF+ to the DWC during the entire incubation. Together, DWC could create both direct and legacy effects, and these effects vary with DWC intensity and SOC pools.
A bibliometric analysis on gift giving
Authors: Gupta Mansi , Parvathy  , Givi Julian , Dey Moumita , Kent Baker H. , Das Gopal 
Published: December 2022

AbstractGift‐giving is a typical consumer behavior with important implications for consumers and marketers. Accordingly, consumer gift‐giving behavior has received much attention from marketing scholars. We conduct a bibliometric analysis of 237 articles on gift‐giving from the Web of Science database. This analysis identifies the bibliometric attributes of the gift‐giving literature, including its publication trend, influential outlets, impactful articles, prolific scholars, international scope, state of collaboration, and featured topics and themes. Using content analysis, we identify three themes that categorize the consumer gift‐giving literature's key segments: (1) broad and nuanced outlooks of the social side of gift‐giving, (2) the less pleasant side of gift‐giving, and (3) the foundational research on consumer gift‐giving. This paper provides readers with a state‐of‐the‐art overview of consumer gift‐giving literature and identifies opportunities for future gift‐giving research.
Slot‐based CubeSat antenna with wide tunning capabilities
Authors: Hussain Rifaqat , Aljaloud Khaled , Rao Abida S. , Aziz Abdul , Aladadi Yosef T. , Alqahtani Ali H. , Alhuwimel Saad 
Published: December 2022

AbstractA slot‐based miniaturized antenna design for CubeSat applications that operate in ultra high frequency (UHF) band is presented. The proposed antenna design consists of a frequency reconfigurable (FR) slot‐based antenna integrated on a Rogers RO4350 substrate. The frequency range covered by the FR antenna is 300–450 MHz. A single varactor diode is used to sweep the frequency of the design. The proposed meandered loop‐slot antenna design is small in size and has planar geometry with overall substrate dimensions of 100 × 100 mm2. The proposed downsized antenna with frequency reconfigurability is ideally suited for small satellite applications in the UHF band, especially CubeSats.