bluuebunny/crossref_metadata_2025_split huggingface dataset:
De-escalation skills among the Caregivers of Persons with Severe Mental Illness
Authors: G Gopika G , Antony Sojan , C Jayakumar , Moirangthem Sydney 
Published: June 2022

Abstract
AbstractBackground and Purpose: Aggressive behaviour and mental illness are inextricably linked though all the persons with severe mental illness (SMI) do not show aggressive behaviour at any point of time during the illness. Most often the family members are helpless to manage the aggressive behaviour. De-escalation skills are regarded as the immediate healthy response to aggressive behaviour in health care settings. The current study attempts to identify how the caregivers are managing the aggressive behaviour and the relationship between de-escalation skills and expressed emotion through using the behavioural theory framework.Method: The caregivers of Persons with SMI will be recruited for the study based on the diagnosis by a consultant psychiatrist according to the criteria of ICD-10. The standardised tools will be administered to 194 caregivers of a person with SMI depending on the inclusion criteria. Qualitative data will be analysed by using content analysis and quantitative data will be analysed by testing for normality and accordingly using parametric and non-parametric tests. Implication : The study would help to understand the caregivers’ response to the aggressive behaviour of the persons and the attitude towards a person with SMI and its relationship with each other. The development of a leaflet would help in equipping the caregivers to manage potential aggressive behaviour among the person with SMI. Therefore, it would help to reduce the discrimination and isolation experienced by the person with SMI due to their aggressive behaviour as well as the burden of the caregiver who provides care to the person with SMI.
WITHDRAWN: Temperature-dependent IL6-STAT3-HSP90 axis mediates aquatic viral entry
Authors: li Junhua , Hou Guoli , lv Zhao , Liu Wenzhi , Xiong Shuting , Wang Xiaodong , Hu Liang , Ding Chunhua , Song Rui , Wang Hongquan , Zhang Yong-An , Xiao Tiaoyi 
Published: June 2022

Abstract
IL6-STAT3 signaling is a canonical pro-inflammatory pathway that is evolutionarily conserved and plays important roles in both temperature related responses and virus infection. However, our understanding of the molecular mechanisms underpinning the temperature-dependent pathogenesis of aquatic viral diseases remains rudimentary. Here we deploy Grass carp reovirus (GCRV) infection as a model system to explore the temperature dependency of viral seasonality in ectotherms. We discovered that the temperature-dependent activation of IL6-STAT3 signaling was hijacked by GCRV to promote viral entry by increasing the expression of heat shock protein 90 (HSP90). Further biochemical, transcriptomic, and microscopic analyses revealed that major capsid protein VP7 of GCRV interacted with HSP90 and relevant cytoskeleton proteins to enable viral entry. Accordingly, exogenous expression of either IL6, HSP90, or VP7 in cells engendered an increased viral entry in a dose-dependent manner. Interestingly, other viruses infecting invertebrate insects, ectothermic vertebrates (e.g., fish, amphibians), and endothermic mammals (e.g., swine, mouse, human) have evolved a similar mechanism to promote their infection. Altogether, our work delineates a pivotal role of the IL6-STAT3-HSP90 axis in the temperature-dependency of viral entry, pinpointing the feasibility of developing targeted therapies for viral diseases in the future.
Operation properties and (α,β)-equalities of complex intuitionistic fuzzy sets
Authors: Gong Zengtai , Wang Fangdi 
Published: June 2022

Abstract
A complex intuitionistic fuzzy set is an innovative uncertainty set whose membership and non-membership functions take values in the unit circle in the complex plane. This paper investigates various operation properties and proposes a new distance measure for complex intuitionistic fuzzy sets. The distance of two complex intuitionistic fuzzy sets measures the difference between the grades of two complex intuitionistic fuzzy sets as well as that between the phases of the two complex intuitionistic fuzzy sets. This distance measure is then used to define (α, β)-equalities of complex intuitionistic fuzzy sets which coincide with those of intuitionistic fuzzy sets already defined in the literature if complex intuitionistic fuzzy sets reduce to traditional intuitionistic fuzzy sets. Two complex intuitionistic fuzzy sets are said to be (α, β)-equal if the distance between their membership degree is less than 1 −α and the distance between their non-membership degree is less than β. Meanwhile we shows how various operations between complex intuitionistic fuzzy sets affect given (α, β)-equalities of complex intuitionistic fuzzy sets. Finally, complex intuitionistic fuzzy relations are discussed and some examples are given to illuminate the results obtained in this paper.
Iron to catalyze ammonia synthesis at low temperature
Authors: Hara Michikazu , Hattori Masashi , Okuyama Natsuo , Kurosawa Hiyori 
Published: June 2022

Abstract
Haber-Bosch process produces ammonia to provide food for over 5 billion people; however, it is currently required to reduce the large global CO2 emissions. It is indispensable to devise heterogeneous catalysts for the synthesis of ammonia below 100‒150 °C to minimize the energy consumption of the process. Here we report metallic iron as a catalyst for ammonia synthesis at 100 °C in combination with an electron-donating material. The iron catalyst revealed that iron can exhibit a few hundred to several thousand times higher efficiency (turnover frequency) for ammonia synthesis than other transition metals used in highly active catalysts. Thermodynamic and vibrational spectroscopic analyses implied that the rate-determining step of ammonia synthesis on the iron catalyst is not N2 cleavage, but the formation of subsequent N-Hn species such as NH, NH2 and NH3, because of the facile cleavage of N2.
Microbiome analysis of landfill leachate samples sourced from Powerstown landfill Co. Carlow
Authors: He Huili , Morris Sinead , Garcia-Cabellos Guiomar , Enright Anne-Marie 
Published: June 2022

Abstract
This study focuses on the bacterial community diversity analysis of landfill leachate (LFL) sourced from Powerstown landfill Co. Carlow, Ireland. HiSeq sequencing systems based 16S rRNA gene sequence analysis was used to investigate the bacterial communities of a total of six LFL samples; four samples from landfill cells (two from closed landfill cells and two from active landfill cells), and two samples sourced from a leachate tank collected over an interval of 2.5 years. Members of the phylum Proteobacteria were dominant in all landfill samples investigated, followed by Bacteroidetes. Members of genus Sulfurimonas were found dominant in LFL from active landfill, while genus Pusillimonas were dominant in closed landfill. Furthermore, it was observed that the composition of the microbial community in active landfill showed fluctuation by the progressing landfill age, while the bacterial composition of closed landfill tends to be stable as the year the landfill is closed.
The pathway to the development and maintenance of PTSD among healthcare workers in the first five months of the Covid-19 pandemic in Ekiti State, Nigeria.
Authors: Yarseah Dogbahgen Alphonso , Ezeani Esu Stanley Ulaetor , Ogunsanmi Joyce Olufunke , Agboola Segun Matthew , Ogunleye Taiwo Samuel , Ahmed Aliyu Nuhu 
Published: June 2022

Abstract
PTSD is a health care challenge for HCWs during this COVID-19 pandemic and the need to assess its development and maintenance among (HCWs) in the first five months of the Covid-19 pandemic in Ekiti State, Nigeria is pivotal in mitigating the spread of the pandemic The burden of this pandemic rested among HCWs who needed to treat patients infected by the virus. Considering that researchers believe that the best behavioral safety and precaution for HCWs in traumatic situation is (HBM), we perceived that they might employ this model and experiential avoidance as coping styles which might eventually exhibit PTSD and less research is done on PTSD and experiential avoidance in West Africa. This study therefore investigated the mediating effects of HBM on the relationship between EA and PTSD among HCWs in Ekiti State, Nigeria. Exploratory research design was employed with the used of questionnaire from 475 HCWs, (64%) female and (36%) male who were recruited from public and private hospitals. Major assumptions were tested with structural equation modeling framework. The results show that experiential avoidance predicted PTSD and HBM, while health belief model predicted PTSD and mediated relationship between experiential avoidance and PTSD. Being a female was associated with PTSD and its symptoms of avoidance and hypervigilence. While lower age was associated with avoidance, hypervigilence and re-experiencing and weakly correlated with PTSD. It was concluded that PTSD is high among healthcare workers in Ekiti State, and female and younger workers were grossly affected. Based on these findings recommendation were made.
Energy efficient cluster-based routing protocol for Wireless Sensor Network using Nature Inspired Mechanism
Authors: Mishra Rashmi , Yadav Rajesh K. 
Published: June 2022

Abstract
WSN consist of tiny sensors which are distributed over the entire network having capabilities of sensing the data, processing it and convey it from one node to another node. The purpose of the study is to minimize the power utilization per round and elevate the network lifespan. In the present case, the nature inspired mechanisms are used to minimize the power utilization of the network. In the proposed study Butterfly Optimization Mechanism is used to choose the optimum quantity of CH from the dense nodes. The parameter is to be considered for the choosing of the CH is the remaining power of the node, interspace from the other nodes in the network, interspace from the BS, node centrality and node degree. The PSO is used to form the CH by choosing certain parameters such as interspace from the CH and the BS. The path is choosing by means of the Ant Colony Optimization (ACO) Mechanism. The route is optimized by the interspace, node degree and the choose remaining power. The inclusive performance of the projected protocol is measured in terms of stability period, quantity of active nodes, data acknowledged by the BS and the overall power utilization of the network. The results of the put redirect methodology are correlated with the extant mechanisms such as LEACH, DEEC, DDEEC, EDEEC [50–53] and also correlated with the swarm mechanisms such as CRHS, BERA, FUCHAR, ALOC, CPSO, FLION. This review will help investigators to discover the applications in this arena.
Simultaneous recording of subcutaneous temperature and total locomotor activity in Bos-Taurus and Bos-Indicus raised in subtropical region of Argentina.
Authors: giannetto claudia , Cerutti Raul , Scaglione Maria Cristina , Fazio Francesco , Aragona Francesca , Arfuso Francesca , Zumbo Alessandro , Piccione Giuseppe 
Published: June 2022

Abstract
In this study, total locomotor activity and subcutaneous temperature was evaluated in 18 clinically healthy females’ cows. All cows were divided in 3 groups: group A1 was constituted by 6 Holstein Bos-taurus, group A2 by 6 Herford females’ cows Bos-Taurus and group B was constituted by 6 females Bradford Bos-indicus cows. Data recording of total locomotor activity (TLA) and subcutaneous temperature was performed by means of a subcutaneous thermometer (Thermocron) and an actimeter ACTIWATCH ® (Cambridge Neurotechnology Ltd) based on accelerometer technologies equipped on all subjects to record TLA. At the same time thermal and hygrometric records were carried out, considering the subtropical climate of Santa Fe. The application of GLM for statistical analysis showed a significant effect (P<0.05) on statistical model and time of the day on TLA and ST for all groups, no significative effect on animal parameter were found for ST and TLA except for Group B. Circadian parameters has been evaluated according to the single cosinor procedure of ST that showed a diurnal daily rhythmicity for all investigated groups and TLA which is focused almost during the photophase for group A1 and A2 and during scotophase for group B.Considering different species and breeds, and different environmental conditions, this study suggested that some subjects may be much more able to adapt themselves to environmental stress than others.During their evolution from Bos taurus, zebu cattle (Bos indicus) have acquired genes that confer thermotolerance. Subjects from Bos Indicus breeds are better able to regulate body temperature in response to heat stress than Bos-taurus subjects.
Preparation of magnetic graphene photocatalytic nano-adsorbent for the sustainable removal of polycyclic aromatic hydrocarbons from aqueous solution
Authors: Ying Qi , Li Taiguang , Hao Yongmei 
Published: June 2022

Abstract
Magnetic graphene oxide-SiO2-TiO2 (MGST) composite was prepared for the absorption and further photodegradation of PAHs to reduce the risk of PAHs in the water environment. Magnetic graphene oxide (MGO) was obtained by introducing Fe3O4 to graphite oxide (GO). Furthermore, the suitable SiO2 layer was wrapped on the MGO for further modification with TiO2. Finally, the functional MGST composite with uniform morphology was obtained. The prepared MGST was confirmed by XRD, FTIR and XPS, its morphology was observed by SEM and TEM. Naphthalene, phenanthrene and pyrene were selected as models. It was found that the adsorption capacity of MGST showed the order of naphthalene (NAP) < phenanthrene (PHE) < pyrene (PYR). Moreover, the regeneration of MGST was conducted by photolysis, the photodegradation of naphthalene was studied and mechanism was proposed. The successive adsorption-desorption studies indicated that MGST kept its adsorption and photodegradation capability almost constant during 5 cycles, which demonstrated its high stability and good sustainability. Importantly, MGST was able to remove more than 80% of aromatic compounds from coking wastewater and tap water, indicating its promising potential for practical application.
Correlation of elemental hyperaccumulation among the succulent and non- succulent halophytes of Gujarat, India
Authors: Vyas Suhas , Agoramoorthy Govindasamy , Gadhvi Kamlesh , Gamit Sandip , Dangar Kiran 
Published: June 2022

Abstract
This paper presents new data on the salt tolerance and avoidance mechanisms among various groups of halophytes in India. The halophytic flora in general has positive effect of high saline environments on wgrowth and physiology. The coastal area of the Kachchh district in Gujarat include about 350 km along the Gulf of Kachchh. This study presents data on the element accumulation mechanisms in soil and halophytic flora (succulent and non-succulent). The halophytes were divided into two groups namely succulent with thick and fleshy leaves and stems and non-succulent with thin leaves and stem. The succulent halophytes included species such as Salicornia brachiata, Suaeda fruticosa and Suaeda nudiflora. The non-succulent halophytes include Aeluropus lagopoides and Urochondra setulosa. Plant parts namely leaves or (Phylloclade), stems and roots were analyzed monsoon season. The results of soil and plants mineral ion content differed widely across the intertidal zones in the same habitat. Likewise, the intra species have varied in all nutrient levels and salt concentration. The accumulation of element concentration was high during the monsoon season in the succulent Salicornia brachiata, especially in leaves that showed Na+ reaching high up to 7.6 meq.g− 1, whereas Cl− was noted to be 4.34 meq.g− 1. In the non-succulent halophytes, the accumulation of mineral ion concentration was lower when compared to succulent plants.
Multivariate analysis of heavy metals and human health risk implications associated with fish consumption from the Yangtze river in Zhenjiang city, China.
Authors: Kaba Peter , Huang Weihong , Shushi Sato , Gyimah Eric , Husein Mansuur , Abomohra Abd El-Fatah , Zhang Wenwen 
Published: June 2022

Abstract
Heavy metal contamination in aquatic environments has been a hot topic in the past decades. The current study aims to analyze levels of heavy metals and human health risk implications associated with fish consumption from the Yangtze River. Muscles of 60 fish samples which comprised six different fish species: Hypophthalmichthys molitrix , Ctenopharyngodon idellus , Blicca bjoerkna , Mylopharyngodon piceus , Carassius carassius, and Pelteobagrus fulvidraco ; were analyzed for total lead (Pb), cadmium (Cd), zinc (Zn), aluminium (Al) cobalt (Co), magnesium (Mg), chromium (Cr), and copper (Cu). The health risk indicators associated with consumers’ health were estimated for both children and adults. The finding of the study revealed that of the analyzed metals, Zn recorded the highest mean concentration of 9.87 µg/g in Carassius carassius followed by Mn (7.97 µg/g) in Pelteobagrus fulvidraco , Cu (2.07 µg/g) in Mylopharyngodon piceus , Pb (1.04 µg/g) in Hypophthalmichthys molitrix , Cr (0.63 µg/g) in Hypophthalmichthys molitrix , Cd (0.19 µg/g) in Blicca bjoerkna and Ni (0.16 µg/g) in Pelteobagrus fulvidraco all measured in wet weight ( w/w ). In addition, the health risk assessments revealed that children are at heightened non-carcinogenic risk for Pb, Cd, and Co upon consuming the examined fish species. The principal component analysis revealed that the pollution of metals in the Yangtze River originates mainly from anthropogenic activities and could deteriorate the quality of fish in the Yangtze River. Therefore, this study could contribute scientific information to help in proper monitoring and regulations to protect the natural resources and human health along the Yangtze River.
Validation of an Intensive Care Unit Data Mart for Research and Quality Improvement
Authors: Boncyk Christina , Butler Pamela , McCarthy Karen , Freundlich Robert E. 
Published: June 2022

Abstract
Data derived from the electronic health record (EHR) frequently undergo limited prospective validation. Efforts to perform validation often suffer from limited collaboration between clinicians and data analysts. In this manuscript, we describe the creation of a structured, rigorously validated intensive care unit (ICU) data mart based on data automatically and routinely derived from the EHR. This data mart includes high-quality outcomes data and other data elements commonly used for quality improvement and research purposes. These data elements were identified by physicians working closely with data analysts to iteratively develop and refine algorithmic definitions for complex outcomes and risk factors. We contend that this methodology can be reproduced and applied to other clinical domains to create high quality data marts, inclusive of complex outcomes data.
Day 3 embryo morphology are critical predictors for euploid blastocyst
Authors: Liang Yunhao , Ou Zhanhui , Yin Minna , Deng Yu , Liang Peiling , Chen Zhiheng 
Published: June 2022

Abstract
Purpose: To determine whether day 3 or day 1 embryo morphologic grading affected euploid blastocyst rate in PGT cycle.Methods: 2001 embryos were obtained from 219 patients in our IVF center. Embryo morphologic grading dates were collected on day 1 and day 3 respectively. Blastocyst trophectoderm biopsy were considered on day 5 or day 6 and then applied biopsies for aneuploid screening on NGS platform. Chi-square test, Student's t-tests and Mann-Whitney U tests were used to compare categorical and continuous variables between the cohorts, respectively. Logistic regressions analysis for euploidy were constructed to determine the influence of embryo morphological grading on blastocyst euploidy.Results: 811 blastocysts were able to biopsy and all the biopsies were successfully amplified for aneuploidy screening. Day 1 pronuclear pattern shown weak association with euploid blastocyst (P＞0.05). Day 3 cleavage-stage embryo scoring, including blastomere number (P＞0.01, OR=1.156), symmetry (P＞0.01, OR=0.710) and fragmentation (P＞0.01, OR=0.624) shown association with euploid blastocyst. 8 cells or ≥12 cells embryo obtained highest euploidy rate and Increasing blastomere size difference and fragmentation decreased euploidy rate .Conclusion(s): Day 3, but not day 1 embryo morphology were suitable predictors for euploid blastocyst. Day 3 morphology provides individualized, visualized and prognostic information about euploid blastocyst. Blastomere number are given properties when selecting day 3 embryo for implantation or blastocyst culturing. So, day 3 embryo Morphology provides guiding for selecting euploid embryo and improving IVF outcomes.
llperm: A Permutation of Regressor Residuals Test for Microbiome data
Authors: Viljanen Markus , Boshuizen Hendriek 
Published: June 2022

Abstract
Background: Differential abundance testing is an important aspect of microbiome data analysis, where each taxa is fitted with a statistical test or a regression model. However, many models do not provide a good fit to real microbiome data. This has been shown to result in high false discovery rates. Permutation tests are a good alternative, but a regression approach is desired for small data sets with many covariates, where stratification is not an option.
Results: We present an extension of the Permutation of Regressor Residuals (PRR) test suitable for microbiome data, and a new R package ’llperm’ which implements popular regression models in this framework. Simulations based on real data show that the approach outperforms the likelihood based models in both Power and False Discovery Rate. The PRR-test approach is able to maintain the correct nominal false positive rate expected from the null hypothesis, while having equal or greater power to detect the true positives as models based on likelihood at a given false positive rate.
Conclusions: The PRR-test was shown to provide a useful new tool for microbiome data analysis. Likelihood models can have a shockingly high rate of false positives and it is not possible to adjust for this in real data sets where the ground truth is unknown. As standard models may not provide a good fit to data, robustness gained from this approach can be viewed as a major benefit.