bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dragonfly Political Optimizer Algorithm-Based Rider Deep Long Short-Term Memory for Soil Moisture and Heat Level Prediction in IoT
Authors: Muppidi Satish , P G Om Prakash , B Kishore 
Published: January 2022

Abstract
Different computerized technologies to monitor plant health in the Internet of Things (IoT) paradigm gained various benefits but generating accurate result in the soil moisture and heat level prediction is the potential challenge. Thus, an effective Dragonfly Political Optimizer Algorithm-based Rider Deep Long Short-Term Memory (DPOA-based Rider Deep LSTM) is developed for generating better prediction results of soil moisture and heat level. The proposed DPOA is the integration of the Dragonfly Algorithm and Political Optimizer. The proposed system maintains the Base Station (BS) that collects the information from the IoT nodes through Cluster Head. At BS, the data transformation is carried out using Yeo Johnson transformation. The transformed result is transferred to feature selection, which is evaluated by holoentropy, and finally, the prediction process of soil moisture and the heat level is done at BS using the proposed method. The proposed method achieved higher performance in terms of Packet Delivery Ratio, energy, accuracy, sensitivity and specificity with the values of 0.7156, 0.7123, 0.9474, 0.9523 and 0.9254, respectively.
Landowner Willingness to Accept Monetary Compensation for Managing Forests for Ecosystem Services in the Southern United States
Authors: Adhikari Ram K , Grala Robert K , Petrolia Daniel R , Grado Stephen C , Grebner Donald L , Shrestha Anusha 
Published: January 2022

Abstract

Distributional specifications of the willingness-to-accept function affect the accuracy of welfare estimates when the contingent valuation model includes unsure responses. By exponentiating the bid variable, we implemented an improved methodological approach to estimate four discrete choice models reflecting treatment of unsure responses. Landowners required an average compensation of $93 acre−1 year−1 to participate in a 10-year conservation program. The probability of participation was positively influenced by payment amount, concern about wildlife habitat loss, contact frequency with the Natural Resources Conservation Service, and education level. Findings will help determine regional-level budgets for various conservation scenarios facilitating an increased production of ecosystem services.

Study Implications
Conservation agencies can decrease landowner uncertainty that arises from limited information about conservation programs and motivate landowners to enroll in a conservation program facilitating an increased production of ecosystem services by offering adequate monetary incentives. Conservation agencies can provide similar financial compensation for conservation of bottomland hardwoods and pine stands but will most likely need to offer greater compensation for the protection of forests prone from impacts by wildfires, hurricanes, and tornadoes. Available funding should be prioritized for conservation of critical habitats and freshwater sources vulnerable to land disturbances.
Antarctica 3-D crustal structure investigation by means of the Bayesian gravity inversion: the Wilkes Land case study
Authors: Capponi M , Sampietro D , Ebbing J , Ferraccioli F 
Published: January 2022

SUMMARY
In this study, a Bayesian gravity inversion algorithm is applied to infer a complete 3-D density model of the crust in the region of the Wilkes Land. One of the main objective of this work is to provide information on the thickening/thinning of the crust beneath the basin or the amount and characteristics of sediment deposits in the area. After collecting all the latest available geophysical data and models of the study region, neglecting gravity derived information, a first 3-D model was defined in terms of principal geological horizons and density distribution together with an estimate of its accuracy. Then, two gravity observations, namely gravity disturbances and second radial derivative of the anomalous potential, were jointly inverted in order to adjust the a-priori 3-D model and obtain the so-called a posterior improved model, now coherent with gravity. The present work summarizes the principal results obtained within the inversion performed in the Wilkes Land region together with a sensitivity analysis to assess the reliability of the inverted 3-D model. The results show a crustal thickness below the Wilkes Land higher than 25 km, characterized by higher densities, sedimentary basins that reach in some zones thicknesses of about 7 km and geometries below the Trans-Antarctic Mountains that suggest a large root of the mountains and lighter mantle densities.
Assessment of the association between the Brazilian family health strategy and adult mortality
Authors: Diaz Maria Dolores Montoya , Teixeira Adriano Dutra , Postali Fernando Antonio Slaibe , Ferreira-Batista Natalia Nunes , Moreno-Serra Rodrigo 
Published: January 2022

Abstract
This study aimed to analyse a wide range of related health problems that respond favourably to efficient primary care treatment among adults. We evaluate the direct impact of the Family Health Strategy (ESF) in Brazil on mortality of adults aged 25–64 years related to conditions for which access to effective primary care can reduce the likelihood of more severe outcomes. Additionally, we discuss heterogeneous effects associated with different intensities of the programme. To address these issues, we estimated a model with variation at the municipal level of the ESF expansion, including municipal-fixed effects, municipal specific trends and year-fixed effects. Our results show that a higher intensity of ESF is associated with reduced mortality by all conditions sensitive to primary care and for some diseases, especially after some years: avoidable conditions, asthma, heart failure, cerebrovascular diseases and gastrointestinal ulcer, infectious gastroenteritis and complications, diseases of the lower airways, hypertension and diabetes. As a public policy view, these results help understand how a nationwide primary care strategy can help mitigate mortality and emphasize the role of having sufficient health teams to attend to the population.
Factors determining non-attendance in breast cancer screening among women in the Netherlands: a national study
Authors: Gong Jianxia , Kampadellis Georgia , Kong Qingxia , Spijker Wolfert 
Published: January 2022

Summary
Breast cancer is one of the most common types of cancer among women. National mammography screening programs can detect breast cancer early, but attendance rates have been decreasing in the Netherlands over the past decade. Non-attendees reported that overdiagnosis, the risk of false-negative results, x-ray exposure and mammography pain could be barriers to attendance, but it is not clear whether these disadvantages explain non-attendance and in which situations they are considered barriers. We conducted a national survey among 1227 Dutch women who did not attend mammography screening appointments in 2016. Logistic regression models were used to identify factors that influenced the likelihood of the abovementioned disadvantages leading to non-attendance. The results showed that the doctor’s opinion increased the likelihood of the risk of false-negative being perceived as a reason for non-attendance. Moreover, opportunistic screening increased the likelihood that the risk of false-negative, overdiagnosis and x-ray exposure would lead to non-attendance. Women with lower education levels were less likely to consider overdiagnosis and x-ray exposure as reasons for non-attendance, while women who had not undergone mammography screening before were more likely to reject the screening invitation because of concerns about x-ray exposure and mammography pain. These findings indicate how we can address the specific concerns of different groups of women in the Netherlands to encourage them to attend potentially life-saving breast-screening appointments. Screening organizations could provide accurate and unbiased information on the effectiveness of mammography screening to GPs, putting them in a better position to advise their patients.
Impact of the HeartMate 3 continuous-flow left ventricular assist device in patients with small body size
Authors: Tonai Kohei , Fukushima Satsuki , Tadokoro Naoki , Kainuma Satoshi , Kawamoto Naonori , Kakuta Takashi , Koga-Ikuta Ayumi , Watanabe Takuya , Seguchi Osamu , Tsukamoto Yasumasa , Fukushima Norihide , Fujita Tomoyuki 
Published: January 2022

Abstract

OBJECTIVES
Limited data are available for use of the HeartMate 3 (HM 3) left ventricular assist device in patients with a small body surface area (BSA). Because the HM 3 is currently the sole device available worldwide, we conducted a single-centre retrospective study of patients with a small BSA (&lt;1.5 m2) who underwent HM 3 implantation to better understand the operative and postoperative management.

METHODS
This study enrolled 64 consecutive patients who had undergone HM 3 implantation from August 2018 to July 2021. The patients were divided into 2 groups based on their BSA before the operation: BSA of &lt;1.5 m2 (small BSA group, n = 18) and BSA of ≥1.5 m2 (regular BSA group, n = 46). The primary study endpoint was survival free of events such as disabling stroke and pump failure. The secondary endpoint was the frequency of adverse events.

RESULTS
The average BSA was 1.38 m2 in the small BSA group. The overall event-free survival rate at 12 months was 100% and 86.7% in the small BSA group and regular BSA group, respectively, and no significant difference was found between the 2 groups (log-rank P = 0.2). The number of cumulative adverse events of death, stroke of any severity, driveline infection, pump infection, ventricular arrhythmia, gastrointestinal Haemorrhage and pump failure was similar between the 2 groups.

CONCLUSIONS
The HM 3 was safely implanted in patients with a small BSA, and postoperative outcomes were acceptable regardless of BSA. However, further research is needed to confirm the indications for HM 3 implantation in even smaller patients.
Antibody Course and Memory B-Cell Response in the First Year After Severe Acute Respiratory Syndrome Coronavirus 2 Infection
Authors: Kannenberg Judith , Trawinski Henning , Henschler Reinhard , Buhmann Raymund , Hönemann Mario , Jassoy Christian 
Published: January 2022

Abstract

Background
The possibility of repeat infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) raises questions regarding quality and longevity of the virus-induced immune response.

Methods
The antibody course and memory B-cell (MBC) response against SARS-CoV-2 proteins, influenza virus nucleoprotein (NP), and tetanus toxin were examined in adults with mild to moderate SARS-CoV-2 infection in the first year after infection.

Results
The concentration of SARS-CoV-2 receptor binding domain (RBD)-specific antibodies was low compared with the concentration of influenza virus NP-specific antibodies. The SARS-CoV-2 RBD antibody half-life increased from 95 days in the first 6 months to 781 days after 9–12 months. The SARS-CoV-2 NP antibody half-life increased from 88 to 248 days. Two thirds of the subjects had SARS-CoV-2-specific MBC responses 12 months after infection. The SARS-CoV-2 antibody levels correlated with the MBC frequency at 12 months.

Conclusions
The low concentration of SARS-CoV-2 spike protein antibodies indicates that re-exposure to the virus or vaccination are required to use the B-cell immunity to full capacity. The existence of a robust SARS-CoV-2 MBC response at 12 months in most subjects and the substantially increasing antibody half-life provide evidence that the immune response is developing into long-term immunity. The early antibody reaction and the ensuing MBC response are interdependent.
Intracellular islatravir pharmacology differs between species in an in vitro model: implications for preclinical study design
Authors: Sykes Craig , Van Horne Brian , Jones Justin , Kashuba Angela D. M. , Gatto Gregory , Van Der Straten Ariane , Johnson Leah , Cottrell Mackenzie L. 
Published: January 2022

Abstract

Background
Islatravir (4′-ethynyl-2-fluoro-2′-deoxyadenosine; EFdA) is a first-in-class nucleoside reverse transcriptase translocation inhibitor (NRTTI) being investigated for HIV treatment and prevention. EFdA is intracellularly phosphorylated to EFdA-triphosphate (EFdA-tp), a competitive substrate of deoxyadenosine-triphosphate (dATP). Thus, translating safety and efficacy findings from preclinical studies relies on the assumption that EFdA’s intracellular pharmacology can be extrapolated across species.

Objectives
We investigated how EFdA is phosphorylated across animal species commonly used for preclinical models in drug development to identify those that most closely matched humans.

Methods
PBMCs were isolated from whole blood of six species (human, rhesus macaque non-human primate (rmNHP), rat, minipig, dog, and rabbit) using Ficoll separation and counted on a haemocytometer by Trypan blue staining. One million live cells were cultured in media supplemented with 10 U/mL human IL-2, 10% FBS and 1% antibiotics and treated with 0, 17, 170, and 1700 nM EFdA (n = 3 replicates per concentration). After 24 h, representative cell counts were derived from untreated control wells (as above), cells were washed in PBS, and lysed with 70:30 methanol:water. EFdA-tp and dATP concentrations were quantified by HPLC-MS/MS and normalized to the representative live cell counts for each species.

Results
When compared to human values, EFdA-tp concentrations for each EFdA treatment concentration were lower in all species (rmNHP 1.5–2.1-fold, rat 4.5–15-fold, minipig 37–71-fold, dog and rabbit &gt;100-fold). Additionally, rmNHP and dog PBMCs exhibited significantly higher (7–10-fold; P &lt; 0.001) dATP when compared with human PBMCs.

Conclusions
Given intracellular pharmacology differences, these preclinical models may be a conservative estimate of EFdA’s intracellular pharmacokinetics and efficacy in humans.
Dynamic modeling of hospitalized COVID-19 patients reveals disease state–dependent risk factors
Authors: Soper Braden C , Cadena Jose , Nguyen Sam , Chan Kwan Ho Ryan , Kiszka Paul , Womack Lucas , Work Mark , Duggan Joan M , Haller Steven T , Hanrahan Jennifer A , Kennedy David J , Mukundan Deepa , Ray Priyadip 
Published: January 2022

Abstract

Objective
The study sought to investigate the disease state–dependent risk profiles of patient demographics and medical comorbidities associated with adverse outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections.

Materials and Methods
A covariate-dependent, continuous-time hidden Markov model with 4 states (moderate, severe, discharged, and deceased) was used to model the dynamic progression of COVID-19 during the course of hospitalization. All model parameters were estimated using the electronic health records of 1362 patients from ProMedica Health System admitted between March 20, 2020 and December 29, 2020 with a positive nasopharyngeal PCR test for SARS-CoV-2. Demographic characteristics, comorbidities, vital signs, and laboratory test results were retrospectively evaluated to infer a patient’s clinical progression.

Results
The association between patient-level covariates and risk of progression was found to be disease state dependent. Specifically, while being male, being Black or having a medical comorbidity were all associated with an increased risk of progressing from the moderate disease state to the severe disease state, these same factors were associated with a decreased risk of progressing from the severe disease state to the deceased state.

Discussion
Recent studies have not included analyses of the temporal progression of COVID-19, making the current study a unique modeling-based approach to understand the dynamics of COVID-19 in hospitalized patients.

Conclusion
Dynamic risk stratification models have the potential to improve clinical outcomes not only in COVID-19, but also in a myriad of other acute and chronic diseases that, to date, have largely been assessed only by static modeling techniques.
Authentication and Quality Assessment of Plumeriae Rubrae Flos by UHPLC-QTOF-MS/MS and UHPLC-DAD Combined With Chemometrics
Authors: Yao Yufeng , Xie Yuanyuan , Dai Pengyu , Ma Yunxia , Zhu Chenchen , Liu Fangle , Lin Chaozhan 
Published: January 2022

Abstract

Background
Plumeriae rubrae flos, the dried flowers of Plumeria rubra cv. acutifolia (PRCA), is one of the most important materials of herbal tea in China. Recently, due to the lack of effective quality evaluation standards, it has been found that Plumeria rubra (PR) and Plumeria rubra var. alba (PRVA) were pretended to be PRCA in herbal material markets.

Objective
To establish an effective method for comprehensive quality assessment on plumeriae rubrae flos, and distinguishing PRCA from its common adulterants, PR and PRVA.

Method
In this study, a method combined application of ultrahigh-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UHPLC-QTOF-MS/MS), UHPLC with a diode array detector (UHPLC-DAD), and chemometrics was developed for qualitative and quantitative analysis of PRCA, PR, and PRVA, based on their multiple components.

Results
A total of 26 components were identified by UHPLC-QTOF-MS/MS, including nine flavonoids, eight iridoids, seven phenolic acids, and two coumarins from PRCA. Quantified fingerprints were established and validated using UHPLC-DAD based on 18 chemical markers in PRCA, PR, and PRVA samples. The multivariate statistical analysis of quantitative results demonstrated clear discrimination of PRCA, PR, and PRVA, which indicated that isoquercetin, luteolin-3ʹ-O-β-D-glucoside, 15-demethylplumieride P-E-coumarate, and 4-O-beta-glucopyranosyl-cis-coumaric acid could be considered the most obvious characteristic components for distinguishing PRCA from PR and PRVA.

Conclusions
A combination of quantitative fingerprint and chemometrics analysis provided an effective and reliable strategy for the quality control of PRCA.

Highlights
The current study was prospected to apply a comprehensive quality control method for plumeriae rubrae flos.
Characterization of the complete mitochondrial genome of the Atlantic seabob shrimpXiphopenaeus kroyeriHeller, 1862 (Decapoda: Dendrobranchiata: Penaeidae), with insights into the phylogeny of Penaeidae
Authors: Cronin Timothy J , Conrad Isabelle , Kerkhove Thomas R H , Hellemans Bart , De Troch Marleen , Volckaert Filip A M , Baeza J Antonio 
Published: January 2022

AbstractThe Atlantic seabob shrimp, Xiphopenaeus kroyeri (Heller, 1862) (Penaeidae), is commonly found on western Atlantic coasts and of high commercial importance in Brazil, Suriname, and Guyana. Current genetic resources on X. kroyeri are scarce and no genomic studies are available. This study reports the complete mitochondrial genome of X. kroyeri. Using the pipeline NOVOPlasty, we assembled and circularized the complete mitochondrial genome of X. kroyeri with an average coverage of 68x per nucleotide. The AT-rich mitochondrial genome of X. kroyeri is 15,999 bp in length and comprised of 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, and 22 transfer RNA genes. A single 1,030 bp long intergenic space is assumed to be the D-loop/Control region (CR). Selective pressure analysis indicated that the PCGs were under purifying selection. The KA/KS ratios observed for cox1, cox2, atp6, cox3, and cob were found to be much lower than the ratios observed in the other PCGs, suggesting strong purifying selection upon the former genes. The secondary structures of the tRNA genes exhibited a standard ‘cloverleaf’ structure, with the exception of trnS1. A maximum likelihood phylogenetic analysis based on all PCGs indicated that X. kroyeri is more closely related to penaeids (Penaeidae) belonging to the genera TrachypenaeusAlcock, 1901, PenaeopsisSpence Bate, 1881, and MierspenaeopsisK. Sakai & Shinomiya, 2011. This study contributes new genomic resources for this commercially important species which may aid in distinguishing cryptic species and elucidating phylogeographic patterns.
The complete mitochondrial genome of the pink shrimpFarfantepenaeus duorarum(Burkenroad, 1939) (Decapoda: Dendrobranchiata: Penaeidae)
Authors: Collins Stormie B , Bracken-Grissom Heather D , Baeza J Antonio 
Published: January 2022

AbstractFarfantepenaeus duorarum (Burkenroad, 1939) is a commercially harvested decapod shrimp that ranges from the eastern coast of the United States, through the Gulf of Mexico, and as far south as Isla Mujeres, Mexico. We report for the first time the complete mitochondrial genome of F. duorarum. The mitochondrial genome is 15,971 base pairs in length and is comprised of 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, and 22 transfer RNA genes. An intergenic space 982 bp in length located between the rrnS (12S) and trnI (Isoleucine) genes is presumed to be the D-loop. The mitochondrial gene order in F. duorarum is identical to that reported for congeners. To assess selection pressures within the mitochondrial genome, KA/KS ratios were calculated for all PCGs, and show values &lt; 1, indicating that all genes are evolving under purifying selection. This work contributes one more mitochondrial genome to the penaeid shrimps, an economically targeted group.
Nonstationary pattern-based signal–noise separation using adaptive prediction-error filter
Authors: Zheng Zhisheng , Liu Yang , Liu Cai 
Published: January 2022

Abstract
Complex field conditions always create different interferences during seismic data acquisition, and there exist several types of noise in the recorded data, which affect the subsequent data processing and interpretation. To separate an effective signal from the noisy data, we adopted a pattern-based method with a two-step strategy, which involves two adaptive prediction-error filters (APEFs) corresponding to a nonstationary data pattern and noise pattern. By introducing shaping regularization, we first constructed a least-squares problem to estimate the filter coefficients of the APEF. Then, we solved another constrained least-square problem corresponding to the pattern-based signal–noise separation, and different pattern operators are adopted to characterize random noise and ground-roll noise. In comparison with traditional denoising methods, such as FXDECON, curvelet transform and local time–frequency (LTF) decomposition, we examined the ability of the proposed method by removing seismic random noise and ground-roll noise in several examples. Synthetic models and field data demonstrate the validity of the strategy for separating nonstationary signal and noise with different patterns.