bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feasibility and Acceptability of Spanish-language Facebook Group on Latino Parents’ COVID-19 Vaccine Beliefs: Case study of the Brigada Digital de Salud
Authors: Andrade Elizabeth L. , Gonzalez Anna I. , Wysota Christina N. , Favetto Carla , Gomez Kaitlyn , Broniatowski David , Abroms Lorien C. 
Published: May 2023

Abstract
Background
COVID-19 vaccine uptake among U.S. Latino adults has been slower than other groups, and younger Latino children continue to be underrepresented among vaccinated populations. Parental vaccine hesitancy has been an important barrier, often stemming from concerns about safety, effectiveness, side effects, and exposure to social media misinformation. The Brigada Digital de Salud was established in May 2021 to address misinformation by disseminating credible, science-based, and culturally-appropriate COVID-19 information in Spanish on social media platforms.
Methods
We conducted a 5-week randomized controlled trial in August-September, 2022 using two private Facebook groups (n = 55 intervention and n = 65 control) to test intervention feasibility and acceptability of COVID-19 vaccine promotion among Spanish-speaking Latino parents. Also of interest were the effects of Brigada Digital content on vaccine beliefs, intentions, and uptake. Intervention participants received daily COVID-19 prevention and vaccination posts with prompts for interaction. All study participants completed baseline and follow-up surveys. Participant engagement was assessed using Facebook analytics.
Results
Feedback from intervention participants regarding content, moderators, and group experience was positive. Participants agreed that posts were informative (4.3/5), trustworthy (4.2/4), and addressed their COVID-19 vaccine concerns (4.2/5). Participants also agreed that moderators were well-informed (4.3/5) and helpful (4.2/5), and they would recommend the group to a friend (4.4/5). Participants remained engaged in the group for the 5-week period, and had, on average, 36.4 post views, 10.6 post reactions, and 3 post comments per participant. Both intervention and control group participants reported greater COVID-19 vaccine-supportive beliefs for adults and children at follow-up; these beliefs increased more among intervention participants, though differences were not statistically significant. When asked about why parent participants had not yet vaccinated their children across all ages, reasons mirrored those reported nationally, with principal concerns being related to potential side effects, safety, and that the vaccine was developed too quickly
Conclusions
This intervention approach shows considerable promise for Latino parents in terms of feasibility, appeal, and appropriateness, and preliminary evidence suggest potential to improve parent COVID-19 vaccine beliefs for adults and children. This intervention approach and content should be further tested with groups of parents who express less supportive COVID-19 vaccine views or have unvaccinated children.
Lambert-Uniform Scan Statistic: Hot Spot Detection of Covid-19 Using a New One-Parameter Scan Statistic
Authors: Abolhassani Ali 
Published: May 2023

Abstract
The spatial scan statistic is widely applied for detection of spatial clusters. These types of clustersare particularly important in epidemiology. Timely warning about the spread of a disease in thesociety can prevent a disaste.Spatial scan statistic can be applied on different types of spatial data to detect the location ofclusters. However, only the two-parameter Beta distribution is conducted on ratios, percentagesand bounded spatial data in the case of hotspot detection which is based on the regression modeland needs explanatory variables.In this study we focus on the recently proposed one-parameter Lambert-Uniform distributionto construct a new scan statistic for spatial bounded data. We present algorithms for detectingirregular and circular spatial clusters based on the new Lambert-Uniform scan statistic. Theadvantages of Lambert-Uniform scan over the Beta scan are at least in two aspects. First, theLambert-Uniform distribution has only one parameter, hence, in the process of clustering, oneneeds to estimate less parameters comparing Beta scan. Second, unlike Beta scan, the LambertUniform scan does not require regression explanatory variables.We consider different scenarios for spatial cluster detection and check the efficiency of LambertUniform scan statistic with the help of common criteria in cluster detection, i.e., precision, recall,bias value, and F 1. We also discuss the importance of the number of data in each cell of themap. We propose to apply MCMC method in sparsely populated maps before performing clusterdetection procedure. The simulation results show that the Lambert-Uniform spatial scan statisticis a suitable method for clustering the bounded spatial data. As a practical example, we considera map of Covid-19 disease and perform clustering based on circular and irregular shape scan.
Effects of different conditioners on humus composition and humic acid structural characteristics in Black Soil under the combined application of pig manure and straw
Authors: Zheng Shuang , Wu Jinggui , Li Jin-Rong , Hu Juan , He Li 
Published: May 2023

Abstract
Purpose
The objective of this work was to evaluate the variation in the amount and structure of humic acid (HA) after the application of different conditioners under the combined application of manure and straw.
Methods
This was measured by Fourier transform infrared (FTIR), fluorescence spectroscopies, and 13C nuclear magnetic resonance (13C CPMAS NMR). The experiment involved corn straw combined with pig manure (SZ), pig manure plus biochar (SCZ), pig manure plus boron slag (SBZ), pig manure plus biological agent (SJZ), and pig manure plus bio-organic fertilizer (SOZ), while corn straw only was used as control (SCK).
Results
The results demonstrated that pig manure combined with straw (PM-S) improved soil organic carbon (SOC), and the application of biochar and boron slag was the effect for improving the accumulation of SOC and humus C fractions. The elemental composition and 13C CPMAS NMR results demonstrated that PM-S enhanced the ratio of H/C and the aliphatic C/aromatic C ratio of HA, reduced the O/C ratio, indicating enhanced aliphatic and conducive to simplifying HA molecular structure.
Conclusion
In conclusion, SCZ was more conducive to simplifying HA molecular structure and enhancing aliphatic and hydrophobic. However, the addition of biological agents and bio-organic fertilizer reduced the soil humification factor and is detrimental to soil organic carbon fixation.
Alleviating Heat Stress and Water Scarcity in Cultivation with Biodegradable Radiative Cooling Mulch
Authors: Lin Chongjia , Hur Jun , Zhang Muhan , Zhang Yinglun , Zhang Lenan , Huang Zhaolu , Liu Xingcai , Li Cruz Y. , Huang Jingyuan , Chu Fuqiang , Zheng Zexiao , Chen Zengshun , Huang Baoling , Yao Shuhuai , Li Weihong 
Published: May 2023

Abstract
Agriculture faces pressing challenges of heat stress and water scarcity due to climate change. While mulching is a common solution, traditional mulching materials lack sub-ambient cooling capabilities and biodegradability, resulting in elevated soil temperature, increased moisture evaporation, exacerbated global agricultural heat-water crisis, and soil microplastics pollution. Herein, we have developed a biodegradable and biocompatible ethyl-cellulose radiative cooling mulch with a solar reflectance and thermal emissivity of 97% and 0.93, respectively, to provide zero-energy cooling for soil surfaces. Field tests have demonstrated that the radiative cooling mulch significantly reduces soil moisture evaporation by 60% through cooling soil surfaces, while also improves plant growth by 30% through reducing crop leaf temperature and increasing sunlight exposure for photosynthesis in hot days. Moreover, global heat-water nexus simulations show that the mulch increases soil moisture preservation by over 80% and alleviates agricultural water scarcity by over 60% in arid regions during hot seasons. The work offers an eco-friendly and feasible pathway to foster sustainable agriculture by alleviating heat stress and water scarcity in the context of global warming.
Bilirubin impairs neuritogenesis and synaptogenesis through NMDAR-CREB-BDNF signaling
Authors: Zhang Yan , Li Siyu , Li Ling , Huang Hongmei , Fu Zhou , Hua Ziyu 
Published: May 2023

Abstract
Neonatal jaundice is one of the most common disorders in the first 2 weeks after birth. Moreover, unconjugated bilirubin (UCB) is neurotoxic and can cause neurological dysfunction, but the underlying mechanisms remain unclear. Neurogenesis, neuron growth and synaptogenesis is exuberant in early postnatal stage. In this study, the impact of bilirubin on neuritogenesis and synaptogenesis at the early postnatal stage was evaluated both in vitro and in vivo. Primary culture NSPCs were treated with bilirubin during differentiation, then the neurite length as well as synapse puncta were measured. In bilirubin encephalopathy (BE) animal model, DCX+ marked developing neurons were used to detect apitical length and dendritic arborization. According to the data, bilirubin significantly reduced neurite length and synapse density, as well as decreased apitical length and dendritic arborization. The NMDAR-CREB-BDNF signaling pathway changes in BE animal model were convoluted because to the intricate cell population constituted of hippocampus. While, UCB treatment reduced the expression of NMDAR subunit NR2B, pCREB, mBDNF and p-mTOR in NSPCs. In summary, it suggests that UCB causes chronic neurological impairment is related to the inhibition of NMDAR-CREB-BDNF signaling, which is associated with reduced neuritogenesis and synaptogenesis. This might inspire the creation development of novel pharmaceuticals and treatments.
Preliminary exploration of the technology of coal reshaping and replacement mining of abandoned coal in goafs
Authors: Luo Jianqiao , Shen Yupeng , Lu Yangbo , Meng Xin , Yang Tuo 
Published: May 2023

Abstract
Recycling of coal resources left behind in goaf and the treatment and utilization of solid waste from mines are one topical issues faced by the global coal mining industry at present. With the annual reduction of recoverable reserves of coal resources and the dependence on coal resources that are difficult to replace, the problems have become increasingly prominent, seriously limiting the development of coal resources and the implementation of environmental protection work. In order to effectively extract high-quality residual coal resources that have not been extracted due to historical reasons such as technological limitations, the method of filling the goaf area is usually used to control the roof strata and extract coal seams. The problem of spatiotemporal interference during the filling process and the mining stage, as well as the problem of the excess shear stiffness of the filling material meeting the roof support strength, which affects the operation of the coal machine during the mining stage, urgently needs to be solved. To this end, a resource filling and replacement method for residual coal mining in goaf was proposed, and the connotation and key scientific issues of the replacement method for room-pillar type residual coal mining were systematically elaborated. The requirements for the mechanical properties of mixed coal filling materials under the control conditions of roof rock layers were given. A large-scale on-site industrial control group grouting loose coal coagulation experiment and a laboratory coal block high water material mixed coagulation curing strength experiment were conducted, Analyzed the scientific problems faced by various links in the process of coal seam reshaping and replacement mining technology(CRRM), and further proposed improvement methods, improved the technical system of filling and replacing abandoned coal, and developed new directions for efficient and safe recovery of abandoned coal resources worldwide in the future.
Psychometric validation of the Body Image Scale in patients with breast cancer
Authors: Wu Tzu-Yi , Fang Su-Ying , Wang Jung-Der , Kuo Yao-Lung 
Published: May 2023

Abstract
Objective
Patients with breast cancer often have changes in body image after surgery. The Body Image Scale (BIS) is one useful scale for measuring body image. However, the BIS has not been validated in patients with breast cancer in Taiwan. The purpose of this study was to examine the unidimensionality, reliability, and convergent validity of the BIS in breast cancer patients.
Methods
Patients were recruited if they were diagnosed with breast cancer and had received cancer-related surgery. Unidimensionality and Rasch reliability were validated with Rasch model and principle component analysis. Convergent validity was examined by calculating the association between the Rasch scores of the BIS and the WHOQOL-BREF and the utility value of the EQ-5D.
Results
A total of 713 patients participated in this study. The fit indices of each item of the BIS ranged from 0.7 to 1.2, and the unexplained variance of the first dimension was 6.3%. The mean person reliability of the BIS was 0.70. Pearson’s r between the BIS and the WHOQOL-BREF/ EQ-5D ranged from − 0.53 to -0.32.
Conclusions
The results of Rasch analysis supported that the items of the BIS were unidimensional. The BIS had acceptable person reliability and good convergent validity in patients with breast cancer. The health providers can use the BIS to measure body image of patients with breast cancer and provide further interventions to patients with high BIS scores.
The Stem Cell Division-Related Gene Signature for Risk Stratification and Prognosis of Survival in Lower-Grade Glioma
Authors: Jiang longyang , Zhu Jun , Yang Xuping , Li Junxin , Wang Shurong 
Published: May 2023

Abstract
Background: Cancer stem cell genes are proven to be associated with the prognosis of multiple cancers. Nevertheless, the prognosis and role of stem cell division-related genes in lower-grade glioma (LGG) remains unclear.
Objective: This study constructs a reliable risk model of stem cell division-related genes for predicting the prognosis of LGG patients.
Methods: The mutation data, FPKM data and corresponding clinical information of 511 LGG patients were downloaded from the TCGA database. We carried out LASSO regression analysis and multivariate cox regression analysis to build a risk gene model. The Kaplan-Meier survival analysis was used to evaluate the OS rate of LGG patients. The ROC curve assesses its power across the entire data set.
Results: We acquired a total of 30 candidate stem cell division-related genes. Finally, 11 genes were selected (EV12B,ING2, MLLT3, NCOA3, NOTCH1, PRDM15, SFRP2, SMYD5, THOC2, TIAL1 and WNT7A) to construct risk models. We analyzed the genetic alterations of the selected 11 genes in LGG using the cBioPortal database. Mutations were present in all of the 511 patients. The results showed that all query genes were changed in 101 out of 511 cases(19.77%). The 11-gene marker panel was confirmed as an independent prognostic indicators(P<0.001, HR = 1.061, 95% CI = 1.042-1.079). The Kaplan-Meier survival analysis showed that patients with low risk scores survived longer than those with high risk scores.The AUC was 0.827 suggesting that this 11-gene signature played an important role and accuracy in the efficacy of this diagnosis.
Conclusion: Our study built a prognostic model consisting of 11 stem cell division-related genes for predicting the prognosis of LGG patients. This may be a new biomarker for predicting LGG. These preliminary findings may provide some useful values for clinical prognosis of LGG and future studies.
Evaluation of resistance and stability of new sugar beet hybrids in field conditions infected with rhizoctonia root and crown rot disease
Authors: Rajabi Abazar , Saremirad Ali , Rezaei Javad , Pedram Adel , Jalilian Ali 
Published: May 2023

Abstract

Background The methods utilized to analyze genotype by environment interaction (GEI) and assess the stability and adaptability of genotypes are constantly changing and developing. In this study, 13 different sugar beet genotypes were grown in four naturally infected locations over two years. They were also assessed for resistance to Rhizoctonia disease in microplots artificially inoculated with the R133 isolate ofRhizoctonia solani. Results The additive main effect and multiplicative interaction (AMMI) analysis showed that both environment and genotype had significant additive effects, while GEI had a significant multiplicative effect. Further analysis of the interaction effects using IPCs revealed that the first three IPCs were significant. Based on the AMMI1 biplot, Rc3, Rc6, and Rc11 were recognized as the most stable genotypes. The TOPSIS calculated from AMMI statistics identified Rc3 as the most stable genotype. The LMM showed that the genotype and GEI were significant. Based on the best linear unbiased prediction (BLUP), Rc6 had the highest predicted mean white sugar yield (WSY). The obtained TOPSIS from BLUP statistics introduced Rc3 and Rc9 as the most stable genotypes. The WSY and WAASB biplot showed that Rc3, Rc5, and Rc11 had higher WSY in addition to stability. In terms of WAASBY/WSY ratio, BTS233, Rc5, and Rc7 were found to be stable genotypes. The simultaneous ranking and selection of genotypes based on the 50/50 ratio for WAASB and WSY yielded somewhat different results, with Rc3, Rc6, and Rc11 having relatively higher WAASBY values. Conclusion Based on the results, the AMMI alone cannot be successful in analyzing the structure of the LMM. In such a situation, using BLUP can bring better and more reliable results. However, the combination of AMMI power and BLUP prediction accuracy made it possible to investigate the genotypic stability and GEI derived from the LMM, and to reveal a complete view of the GEI of sugar beet product while eliminating the limitations of AMMI. In total, Rc3 followed by Rc6 and Rc11 were recognized as stable genotypes with high WSY. In addition to stability and high WSY, these genotypes also had genetic resistance againstR. solani.
Formal analysis are fundamental for the definition of honey, a product representing specific territories and their changes: the case of North Tyrrhenian dunes (Italy)
Authors: Leoni Valeria , Panseri Sara , Giupponi Luca , Pavlovic Radmila , Gianoncelli Carla , Sala Stefano , Zeni Valeria , Benelli Giovanni , Giorgi Annamaria 
Published: May 2023

Abstract
Honey is a variegate matrix depending on the floral origin, and it can become an important agri-food product to valorise specific territories. Being so diverse, different analytical techniques are necessary for its description. Herein we characterized the honey produced in one of the largest Italian sand dunes systems hosting beekeeping activities. In terms of floristic origin, phytochemical characterization, and sensory and colour analysis, honey collected in 2021 and 2022 was comparable. Honey was polyfloral, with several pollens from dune habitat plants classified as minor. The allochthonous Amorpha fruticosa L. and the ruderal Rubus fruticosus L. pollens in the category of the secondary pollens testify the alteration of the park vegetation. The phytochemical profile was rich in polyphenols. Other interesting compounds were coumarine derivatives, likely attributable to resin-laden plants as rockroses, long chain hydroxyacids typical of royal jelly and nicotinic acid and its analogues (2-hydroxynicotinic acid and 2-hydroxyquinoline). The above-mentioned honey showed interesting features and was a good representation of the vegetation of this area. Our study pointed out the importance of relying on multiple analytical techniques for the characterization of honey and the advisability of a technical support toward beekeepers to correctly describe and valorise their product.
The burden of HEV related acute liver failure in the developing world: a systematic review and meta-analysis
Authors: Dong Rui , Chang Dongchun , Luo Zhenghan , Zhang Mengting , Guan Qing , Shen Chao , Chen Yue , Huang Peng , Wang Jie 
Published: May 2023

Abstract
Background
Hepatitis E has the potential to progress into HEV related acute liver failure (HEV-ALF), but its burden in the developing world remains unclear. We systematically evaluated the burden of HEV-ALF in these regions regarding the frequency and mortality.
Methods
A systematic search of the literature was performed utilizing the databases of PubMed, the Cochrane Library, Medline, Embase and Web of Science. Studies in English or Chinese that reported on the burden of HEV-ALF in the developing world were included. Outcomes were pooled with meta-analysis utilizing R software. Estimates were calculated with random-effects models, subgroup analysis and sensitivity analysis were conducted to address heterogeneity. Egger’s test and Begg’s test were performed to assess the publication bias.
Results
A total of 20 eligible studies were included, the results indicated that the pooled proportion of HEV infection in etiology of acute liver failure was 39.0% (95% CI: 29.0–51.0)in non-pregnant individuals and 65.0% (95% CI: 60.0–71.0) in pregnant females. The incidence of HEV-ALF in HEV infected non-pregnant individuals was 24.0% (95% CI: 15.0–33.0), while in pregnant females, it was 34.0% (95% CI: 27.0–42.0). The mortality of HEV-ALF was 31.0% (95% CI: 20.0–43.0) and 63.0% (95% CI: 46.0–79.0) in non-pregnant individuals and pregnant females, respectively. It must be noted that there were differences across specific countries and population.
Conclusions
The burden of HEV-ALF in developing countries is heavy, prevention of HEV infection and early recognition of HEV-ALF in high risk regions and population is of great significance.
On-Demand Reconfigurable Frequency MIMO antenna for WLAN/5G/WiMAX Communication
Authors: Bandi Raja Babu , Perumalla Krishna Chaitanya , Pathan Mohammed Afreed Khan , Jajula RaviTeja , Nalluri Pavan Shivaji 
Published: May 2023

Abstract
This work presents on designing a On-Demand Reconfigurable Frequency MIMO antenna for WLAN/5G/WiMAX Communication, which are operating at 2.45 GHz, 3.5 GHz and 5.8 GHz. The 2.45 GHz frequency is commonly used for wireless data transmission. It is a part of the ISM (Industrial, Scientific and Medical) band, which uses for industrial, scientific, and medical applications. The main advantage of this frequency is easy installation in small devices and it can penetrate in obstacles.5.8 GHz is commonly used for wireless communication applications such as Wi-Fi, wireless video transmission, and remote control devices. This frequency band has gained popularity for use in consumer-level drones and FPV (first-person view) systems due to its high bandwidth and ability to transmit high-quality video signals over longer distances compared to lower frequency bands. 3.5 GHz frequency band is most popular band in 5G networks, it offers high bandwidth and good propagation characteristics that can support high-speed data transmission and connectivity in urban areas. The 3.5 GHz frequency band has been identified as a key spectrum for 5G deployment in many countries and regions around the world. For these criteria we used to propose a reconfigurable antenna which can shift this frequency based on conditions of RF PIN diodes. The proposed design contains two independent MIMO (Multi Input and Multi Output Antenna) configurations in each antenna two pin diodes are present which are operated at 3 frequencies based on conditions of PIN Diodes. The suggested design shows that the gain at 2.45 GHz, 3.5 GHz, and 5.8 GHz is 3.5 dB, 5 dB, and 6.65 dB, respectively. Our efforts led to a bandwidth of 0.25 GHz for 2.45 GHz, 0.26 GHz for 3.5 GHz and 0.29 GHz for 5.8 GHz. However, MIMO (Multi Input and Multi Output Antenna) configurations must be verified with MIMO characteristic parameters like Envelope Correlation Coefficient(ECC), Diversity Gain(DG), and Mutual Coupling Loss were achieved as below 0.035, 9.9 dB, -30dB to -75 dB respectively. The dimensions of single reconfigurable antenna patch is 11.22mm x 24.7mm. The total size of MIMO reconfigurable antenna is 65mm x 25mm x 1.6mm.