bluuebunny/crossref_metadata_2025_split huggingface dataset:
A bivalent protein targeting glycans and HR1 domain in spike protein potently inhibited infection of SARS-CoV-2 and other human coronaviruses
Authors: Cai Yanxing , Xu Wei , Tang Jiayi , Cao Najing , Lan Qiaoshuai , Lu Lu , Jiang Shibo 
Published: July 2021

Abstract
Background
Our previous studies have shown that combining the antiviral lectin GRFT and the pan-CoV fusion inhibitory peptide EK1 results in highly potent inhibitory activity against SARS-CoV-2 infection. In this study, we aimed to design and construct a bivalent protein consisting of GRFT and EK1 components and evaluate its inhibitory activity and mechanism of action against infection by SARS-CoV-2 and its mutants, as well as other human coronaviruses (HCoVs).

Methods
The bivalent proteins were expressed in E. coli and purified with Ni-NTA column. HIV backbone-based pseudovirus (PsV) infection and HCoV S-mediated cell–cell fusion assays were performed to test their inhibitory activity. ELISA and Native-PAGE were conducted to illustrate the mechanism of action of these bivalent proteins. Five-day-old newborn mice were intranasally administrated with a selected bivalent protein before or after HCoV-OC43 challenge, and its protective effect was monitored for 14 days.

Results
Among the three bivalent proteins purified, GL25E exhibited the most potent inhibitory activity against infection of SARS-CoV-2 PsVs expressing wild-type and mutated S protein. GL25E was significantly more effective than GRFT and EK1 alone in inhibiting HCoV S-mediated cell–cell fusion, as well as infection by SARS-CoV-2 and other HCoVs, including SARS-CoV, MERS-CoV, HCoV-229E, HCoV-NL63 and HCoV-OC43. GL25E could inhibit authentic SASR-CoV-2, HCoV-OC43 and HCoV-229E infection in vitro and prevent newborn mice from authentic HCoV-OC43 infection in vivo. GL25E could bind to glycans in the S1 subunit and HR1 in the S2 subunit in S protein, showing a mechanism of action similar to that of GRFT and EK1 alone.

Conclusions
Since GL25E showed highly potent and broad-spectrum inhibitory activity against infection of SARS-CoV-2 and its mutants, as well as other HCoVs, it is a promising candidate for further development as a broad-spectrum anti-HCoV therapeutic and prophylactic to treat and prevent COVID-19 and other emerging HCoV diseases.
Technical reliability of shipboard technologies for the application of alternative fuels
Authors: Popp Lukas , Müller Karsten 
Published: July 2021

Abstract
Background
Naval traffic is highly dependent on depleting fossil resources and causes significant greenhouse gas emissions. At the same time, marine transportation is a major backbone of world trade. Thus, alternative fuel concepts are highly needed. Different fuels such as ammonia, methanol, liquefied natural gas and hydrogen have been proposed. For some of them, first prototype vessels have been in operation. However, practical experience is still limited. Most studies so far focus on aspects such as efficiency and economics. However, particularly in marine applications, reliability of propulsion systems is of utmost importance, because failures on essential ship components at sea pose a huge safety risk. If the respective components lose their functionality, repair can be much more challenging due to large distances to dockyards and the complicated transport of spare parts to the ship. Consequently, evaluation of reliability should be a core element of system analysis for new marine fuels.

Results
In this study, reliability was studied for four potential fuels. The analysis involved several steps: estimation of overall failure rates, identification of most vulnerable components and assessment of criticality by including severity of fault events. On the level of overall failure rate, ammonia is shown to be very promising. Extending the view over a pure failure rate-based evaluation shows that other approaches, such as LOHC or methanol, can be competitive in terms of reliability and risk. As different scenarios require different weightings of the different reliability criteria, the conclusion on the best technology can differ. Relevant aspects for this decision can be the availability of technical staff, high-sea or coastal operation, the presence of non-naval personnel onboard and other factors.

Conclusions
The analysis allowed to compare different alternative marine fuel concepts regarding reliability. However, the analysis is not limited to assessment of overall failure rates, but can also help to identify critical elements that deserve attention to avoid fault events. As a last step, severity of the individual failure modes was included. For the example of ammonia, it is shown that the decomposition unit and the fuel cell should be subject to measures for increasing safety and reducing failure rates.
Class- and subject teachers’ self-efficacy and emotional stability and students’ perceptions of the teacher–student relationship, classroom management, and classroom disruptions
Authors: Wettstein Alexander , Ramseier Erich , Scherzinger Marion 
Published: July 2021

AbstractBackgroundTeacher self-efficacy and emotional stability are considered crucial resources for coping with classroom demands. We examined how class and subject teachers’ self-efficacy beliefs and emotional stability are related to teachers' and students' perceptions of the teacher–student relationship, classroom management, and classroom disruptions.MethodsIn a sample of eighty-two swiss german 5th and 6th grade classes, 1290 students, their class teacher (N = 82), and a selected subject teacher (N = 82) filled out a questionnaire assessing classroom disruptions, teacher–student relationships, and classroom management. In a first step, we conducted t-tests on whether class teachers and subject teachers differ in their self-efficacy beliefs and emotional stability. In a second step, we explored by correlation analyses the relations between teacher self-efficacy in classroom management and emotional stability and the teachers’ and students’ perceptions of classroom disruptions, teacher–student relationships, and classroom management. In a third step, we examined by stepwise multiple regression analyses to what extent psychological variables predict teacher perceptions after controlling for students’ ratings, representing rather “objective” classroom features.ResultsIn class teachers, high self-rated emotional stability and self-efficacy are associated with a more positive appraisal of teacher–student relationships and classroom management skills (compared with student ratings). By contrast, in subject teachers, high self-efficacy beliefs are associated with a more favorable perception of classroom disruptions, teacher–student relationships, and classroom management, from both the teachers' and students' perspectives.ConclusionsThe results of the present study show a distinctive pattern for class teachers and subject teachers. In class teachers, high self-rated emotional stability and self-efficacy are associated with a more positive evaluation (compared to student ratings) of the teacher–student relationship and classroom management skills but not teacher perceptions of student misbehavior. On the contrary, subject teachers' firm self-efficacy beliefs are associated with more favorable perceptions of classroom characteristics, both from the teachers' and students' perspectives.
Combining assumptions and graphical network into gene expression data analysis
Authors: Fofana Demba , George E. O. , Bowman Dale 
Published: July 2021

Abstract
Background
Analyzing gene expression data rigorously requires taking assumptions into consideration but also relies on using information about network relations that exist among genes. Combining these different elements cannot only improve statistical power, but also provide a better framework through which gene expression can be properly analyzed.

Material and methods
We propose a novel statistical model that combines assumptions and gene network information into the analysis. Assumptions are important since every test statistic is valid only when required assumptions hold. So, we propose hybrid p-values and show that, under the null hypothesis of primary interest, these p-values are uniformly distributed. These proposed hybrid p-values take assumptions into consideration. We incorporate gene network information into the analysis because neighboring genes share biological functions. This correlation factor is taken into account via similar prior probabilities for neighboring genes.

Results
With a series of simulations our approach is compared with other approaches. Area Under the ROC Curves (AUCs) are constructed to compare the different methodologies; the AUC based on our methodology is larger than others. For regression analysis, AUC from our proposed method contains AUCs of Spearman test and of Pearson test. In addition, true negative rates (TNRs) also known as specificities are higher with our approach than with the other approaches. For two group comparison analysis, for instance, with a sample size of n=10, specificity corresponding to our proposed methodology is 0.716146 and specificities for t-test and rank sum are 0.689223 and 0.69797, respectively. Our method that combines assumptions and network information into the analysis is shown to be more powerful.

Conclusions
These proposed procedures are introduced as a general class of methods that can incorporate procedure-selection, account for multiple-testing, and incorporate graphical network information into the analysis. We obtain very good performance in simulations, and in real data analysis.
Variable returns to scale DEA—Taguchi approach for ternary additives optimization in expansive soil subgrade enhancement
Authors: Ikeagwuani Chijioke Christopher , Nwonu Donald Chimobi 
Published: July 2021

AbstractIn this study, variable returns to scale (VRS) data envelopment analysis was integrated into the Taguchi approach to optimize ternary additives for expansive soil enhancement. The ternary additives selected were sawdust ash (SDA), quarry dust (QD) and ordinary Portland cement (OPC). The additives were set as the input variables while multiple responses obtained from the experiments performed with the Taguchi orthogonal array were set as the output variables. Each row in the orthogonal array were defined as a decision making unit (DMU) in the optimization process and output-oriented VRS model was used to obtain the efficiency score for each DMU. Next, benevolent formulation was utilized to obtain the multipliers for the inputs and outputs which were subsequently used to determine the cross efficiency scores for each DMU. The cross-efficiency scores were used to construct the cross-efficiency matrix. Thereafter, the mean cross-efficiency score (MCES) was determined for each DMU. Parameter level that maximizes the MCES was chosen as the optimal level for that parameter. Optimum combination of additives was found at A6 B2 C3. Lastly, confirmatory experiments performed by blending the soil with the optimum combination of additives showed the effectiveness of this method in the enhancement of expansive soil properties.
Dietary diversity and food security status among heart failure patients in the north of Iran
Authors: Mahdavi-Roshan Marjan , Vakilpour Azin , Mousavi Seyed Mehdi , Ashouri Asieh 
Published: July 2021

Abstract
Background
Dietary diversity score (DDS) is an indicator for assessing nutritional adequacy. Food security is another important measure in nutrition field which can be associated with several cardiovascular risk factors. Considering the importance of nutrition in heart failure (HF) patients, this study was designed to evaluate the DDS and food security of patients with HF.

Methods
A total of 200 HF patients were enrolled. DDS was evaluated using valid and reliable food frequency questionnaire and was calculated by scoring food intakes as 5 main groups. Household food insecurity access scale was applied to assess food security status. Data were analyzed using descriptive statistics, Chi-square and Kruskal-Wallis tests and multiple logistic regression models.

Results
The mean age of patients was 65 (standard deviation: 12) years and 59% of patients were male. Median of DDS was 1.96 (range: 0.29 to 6.12). Adjusted odds of greater DDS (> = median of 2) was 2.58 times higher for patients without hypertension than for patients with hypertension (95%CI: 1.31–5.08, P = 0.006). Also, odds of greater DDS were more in ex-smokers’ patients when compared to non-smokers (adjusted odds ratio (AOR): 2.70, 95%CI: 1.27–5.75, P = 0.010), patients with supplement use (AOR: 2.42, 95%CI: 1.16–5.05, P = 0.019), patients with lower total cholesterol level (AOR: 1.01, 95%CI: 1.00–1.02, P = 0.051), and patients with higher ejection fraction (AOR: 1.03, 95%CI: 1.00–1.05, with borderline.
P = 0.073). About 57% of patients had experienced degrees of food insecurity as mild (26%), moderate (16%) and severe (15%). On the other hand, women (AOR: 1.90, 95%CI: 0.90–3.71, with borderline P = 0.061) and patients with middle (AOR: 3.48, 95%CI: 1.79–6.76, P < 0.001) or high (AOR: 20.32, 95%CI: 2.56–161.19, P = 0.004) socio-economic status were more likely to be food secure or mild insecure. Also, no relation between DDS and food security was found (r = − 0.08, P = 0.262).

Conclusion
This study found that HF patients had a low DDS and more than half of the patients were food insecure to some extents.
Chromium and cobalt intoxication mimicking mitochondriopathy
Authors: Rattay Tim W. , Kluba Torsten , Schöls Ludger 
Published: July 2021

AbstractA 53-year old male with a history of progressive visual impairment, hearing loss, peripheral neuropathy, poorly controlled diabetes mellitus, cardiomyopathy, and weight loss was referred to the rare disease center due to the suspicion of mitochondrial cytopathy. In line with mitochondrial dysfunction, lactate in CSF was increased. Genetic testing by whole-exome sequencing and mitochondrial DNA did not reveal a likely cause. The case remained unsolved until he developed pain in his right hip, where he had received total hip arthroplasty 12 years earlier. An orthopedic evaluation revealed substantial shrinkage of the head of the hip prosthesis. Due to metal-on-metal wear, debris chromium and cobalt levels in serum were massively increased and significantly improved with multisystemic impairment after exchanging the defective implant.
Contrast of Digital and Health Literacy Between IT and Health Care Specialists Highlights the Importance of Multidisciplinary Teams for Digital Health—A Pilot Study
Authors: Pfob André , Sidey-Gibbons Chris , Schuessler Maximilian , Lu Sheng-Chieh , Xu Cai , Dubsky Peter , Golatta Michael , Heil Joerg 
Published: July 2021

PURPOSE Despite their promises, digital innovations have scarcely translated to technologies used in routine clinical practice, making the identification of barriers to successful implementation a research priority. Low levels of transdisciplinary skills represent such a barrier but so far, this has not been evaluated and compared between information technology (IT) and health care specialists. In this study, we evaluated the level of digital health literacy among IT and health care specialists. MATERIALS AND METHODS An anonymous questionnaire was distributed to staff at a breast cancer unit and an IT department of two German universities in December 2020. The survey questionnaire consisted of the previously validated eHealth Literacy Assessment Toolkit and additional questions with respect to age, profession, and career stage. Mann-Whitney or Wilcoxon rank-sum tests and two-sample chi-square tests were used for the analysis. RESULTS The survey was completed by 113 individuals: 70 (61.9%) IT specialists and 43 (38.1%) health care specialists. Health care specialists scored significantly higher on the health-related scales and IT specialists scored significantly higher on the digitally related scales. No single participant identified themselves to have the highest level of literacy on all survey questions (n = 0 of 113; 0%). Only one person (n = 1 of 113; 0.9%) consistently reported a high or the highest level of literacy. CONCLUSION Although IT and health care specialists showed great literacy in their respective disciplines, only few individuals combined both digital and health care literacy. Multidisciplinary teams and transdisciplinary curricula are crucial to bridge skill gaps between disciplines and to drive the implementation of digital health initiatives.
Benefits and Harms of Lung Cancer Screening by Chest Computed Tomography: A Systematic Review and Meta-Analysis
Authors: Passiglia Francesco , Cinquini Michela , Bertolaccini Luca , Del Re Marzia , Facchinetti Francesco , Ferrara Roberto , Franchina Tindara , Larici Anna R. , Malapelle Umberto , Menis Jessica , Passaro Antonio , Pilotto Sara , Ramella Sara , Rossi Giulio , Trisolini Rocco , Novello Silvia 
Published: July 2021

PURPOSE This meta-analysis aims to combine and analyze randomized clinical trials comparing computed tomography lung screening (CTLS) versus either no screening (NS) or chest x-ray (CXR) in subjects with cigarette smoking history, to provide a precise and reliable estimation of the benefits and harms associated with CTLS. MATERIALS AND METHODS Data from all published randomized trials comparing CTLS versus either NS or CXR in a highly tobacco-exposed population were collected, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Subgroup analyses by comparator (NS or CXR) were performed. Pooled risk ratio (RR) and relative 95% CIs were calculated for dichotomous outcomes. The certainty of the evidence was assessed using the GRADE approach. RESULTS Nine eligible trials (88,497 patients) were included. Pooled analysis showed that CTLS is associated with: a significant reduction of lung cancer–related mortality (overall RR, 0.87; 95% CI, 0.78 to 0.98; NS RR, 0.80; 95% CI, 0.69 to 0.92); a significant increase of early-stage tumors diagnosis (overall RR, 2.84; 95% CI 1.76 to 4.58; NS RR, 3.33; 95% CI, 2.27 to 4.89; CXR RR, 1.52; 95% CI, 1.04 to 2.23); a significant decrease of late-stage tumors diagnosis (overall RR, 0.75; 95% CI, 0.68 to 0.83; NS RR, 0.67; 95% CI, 0.56 to 0.80); a significant increase of resectability rate (NS RR, 2.57; 95% CI, 1.76 to 3.74); a nonsignificant reduction of all-cause mortality (overall RR, 0.99; 95% CI, 0.94 to 1.05); and a significant increase of overdiagnosis rate (NS, 38%; 95% CI, 14 to 63). The analysis of lung cancer–related mortality by sex revealed nonsignificant differences between men and women ( P = .21; I-squared = 33.6%). CONCLUSION Despite there still being uncertainty about overdiagnosis estimate, this meta-analysis suggested that the CTLS benefits outweigh harms, in subjects with cigarette smoking history, ultimately supporting the systematic implementation of lung cancer screening worldwide.
Trajectories of Subjective Health: Testing Longitudinal Models for Self-rated Health From Adolescence to Midlife
Authors: Bollen Kenneth A. , Gutin Iliya 
Published: July 2021

Abstract
Self-rated health (SRH) is ubiquitous in population health research. It is one of the few consistent health measures in longitudinal studies. Yet, extant research offers little guidance on its longitudinal trajectory. The literature on SRH suggests several possibilities, including SRH as (1) a more fixed, longer-term view of past, present, and anticipated health; (2) a spontaneous assessment at the time of the survey; (3) a result of lagged effects from prior responses; (4) a function of life course processes; and (5) a combination of the preceding. Different perspectives suggest different longitudinal models, but evidence is lacking about which model best captures SRH trajectory. Using data from the National Longitudinal Study of Adolescent to Adult Health and the National Longitudinal Survey of Youth, we employ structural equation modeling to correct for measurement error and identify the best-fitting, theoretically guided models describing SRH trajectories. Results support a hybrid model that combines the lagged effect of SRH with the enduring perspectives, fitted with a type of autoregressive latent trajectory (ALT) model. This model structure consistently outperforms other commonly used models and underscores the importance of accounting for lagged effects combined with time-invariant effects in longitudinal studies of SRH. Interestingly, comparisons of this latent, time-invariant autoregressive model across gender and racial/ethnic groups suggest that there are differences in starting points but less variability in SRH trajectories from early life into adulthood.
Inducible manipulation of motor–cargo interaction using engineered kinesin motors
Authors: Hummel Jessica J. A. , Hoogenraad Casper C. 
Published: July 2021

ABSTRACT
Molecular motors drive long-range intracellular transport of various vesicles and other cargoes within a cell. Identifying which kinesin motors interact with which type of transport vesicles has been challenging, especially in complex neuronal cells. Here, we present a highly adaptable toolbox of engineered kinesin motors to control and interrogate the selectivity and regulation of cargo transport with acute chemical induction. Selectivity of cargo–motor interaction can be addressed by systematic screening of a library of kinesin tails and neuronal cargoes. Additionally, our toolbox can be used to study kinesin–cargo regulatory mechanisms, and we found that cargo trafficking by KIF16B is regulated by its PX domain. Furthermore, our toolbox enables acute manipulation of polarized trafficking in living neurons by steering transport into axons or dendrites. Engineering kinesin motors provides a powerful tool to map the specificity of interactions between kinesin and cargoes, manipulate polarized transport and investigate cargo–motor interaction modes.
Alanine alters the carbohydrate metabolism of rainbow trout: glucose flux and cell signaling
Authors: Jubouri Mais , Talarico Giancarlo G. M. , Weber Jean-Michel , Mennigen Jan A. 
Published: July 2021

ABSTRACT
In rainbow trout, dietary carbohydrates are poorly metabolized compared with other macronutrients. One prevalent hypothesis suggests that high dietary amino acid levels could contribute to the poor utilization of carbohydrates in trout. In mammals, alanine is considered an important gluconeogenic precursor, but has recently been found to stimulate AMP-activated protein kinase (AMPK) to reduce glucose levels. In trout, the effect of alanine on glucose flux is unknown. The goal of this study was to determine the effects of 4 h exogenous alanine infusion on glucose metabolism in rainbow trout. Glucose flux, and the rate of glucose appearance (Ra) and disposal (Rd) were measured in vivo. Key glycolytic and gluconeogenic enzyme expression and activity, and cell signaling molecules relevant to glucose metabolism were assessed in the liver and muscle. The results show that alanine inhibits glucose Ra (from 13.2±2.5 to 7.3±1.6 μmol kg−1 min−1) and Rd (from 13.2±2.5 to 7.4±1.5 μmol kg−1 min−1) and the slight mismatch between Ra and Rd caused a reduction in glycemia, similar to the effects of insulin in trout. The reduction in glucose Rd can be partially explained by a reduction in glut4b expression in red muscle. In contrast to mammals, trout alanine-dependent glucose-lowering effects did not involve hepatic AMPK activation, suggesting a different mechanistic basis. Interestingly, protein kinase B (AKT) activation increased only in muscle, similar to effects observed in insulin-infused trout. We speculate that alanine-dependent effects were probably mediated through stimulation of insulin secretion, which could indirectly promote alanine oxidation to provide the needed energy.