Miracle-dz/UniFAR-FTUs huggingface dataset:
Peribacillus castrilensis sp. nov.: A Plant-Growth-Promoting and Biocontrol Species Isolated From a River Otter in Castril, Granada, Southern Spain

A strictly aerobic, chemoheterotrophic, endospore-forming, Gram-positive, rod-shaped bacterial strain N3T was isolated from the feces of a river otter in Castril (Granada, southern Spain). It is halotolerant, motile, and catalase-, oxidase-, ACC deaminase-, and C4- and C8-lipase-positive. It promotes tomato plant growth and can reduce virulence in Erwinia amylovora CECT 222T and Dickeya solani LMG 25993T through interference in their quorum-sensing systems, although other antagonistic mechanisms could also occur. A phylogenetic analysis of the 16S rRNA gene sequence as well as the phenotypic and phylogenomic analyses indicated that the strain N3T is a novel species of the genus Peribacillus, with the highest 16S rRNA sequence similar to that of Bacillus frigoritolerans DSM 8801T (99.93%) and Peribacillus simplex DSM 1321T (99.80%). Genomic digital DNA–DNA hybridization (dDDH) between the strain N3T and Bacillus frigoritolerans DSM 8801T and Peribacillus simplex was 12.8 and 69.1%, respectively, and the average nucleotide identity (ANIb) of strain N3T and Bacillus frigoritolerans DSM 8801T and Peribacillus simplex was 67.84 and 93.21%, respectively. The genomic G + C content was 40.3 mol%. Its main cellular fatty acids were anteiso-C15:0 and iso-C15:0. Using 16S rRNA phylogenetic and in silico phylogenomic analyses, together with the chemotaxonomic and phenotypic data, we demonstrated that the type strain N3T (=CECT 30509T = LMG 32505T) is a novel species of the genus Peribacillus and the name Peribacillus castrilensis sp. nov. is proposed.
Benefits of Combined Phage–Antibiotic Therapy for the Control of Antibiotic-Resistant Bacteria: A Literature Review

With the increase in bacterial resistance to antibiotics, more and more therapeutic failures are being reported worldwide. The market for antibiotics is now broken due to the high cost of developing new molecules. A promising solution to bacterial resistance is combined phage–antibiotic therapy, a century-old method that can potentiate existing antibiotics by prolonging or even restoring their activity against specific bacteria. The aim of this literature review was to provide an overview of different phage–antibiotic combinations and to describe the possible mechanisms of phage–antibiotic synergy.
Motion planning for autonomous vehicles with the inclusion of post-impact motions for minimising collision risk

The introduction of more automation into our vehicles is increasing our ability to avoid or mitigate the effects of collisions. Early systems could brake when a likely collision was detected, while more advanced systems will be able to steer to avoid or reconfigure a collision during the same circumstances. This paper addresses how the post-impact motion of an impacted vehicle could be included in the decision-making process of severity minimisation motion planning. A framework is proposed that builds on previous work by the authors, combining models from motion planning, vehicle dynamics, and accident reconstruction. This framework can be configured for different contexts by adjusting its cost function according to relevant risks. Simulations of the unified system are carried out and analysed from the perspective of vehicle model complexity and collision parameters sensitivity. Additionally, effects are highlighted concerning different modelling decisions, with respect to vehicle dynamics models and collision models, that are important to consider in further research.
Management Students’ Perception of Industrial Internship Programme at Srinivas University, Mangaluru, Karnataka

Purpose: The central idea of the study is to identify and examine the affecting factors towards management students’ perception of Industrial Internship programme at Srinivas University, Mangaluru, India for the academic year 2021-22. Design: Secondary data is collected by referring journal papers and books. The study includes ABCD factor analysis framework. Primary data was collected from selected 219 management students’ groups. The data was run through Jamovi software for descriptive analysis and SMART PLS 3.0 for causal analysis. SEM model was developed and IPMA analysis were analyzed. Findings: Industrial Internship programme is an essential method to enhance the students learning experience. Student industrial internship unit and host company has a significant impact of student perception towards industrial internship programme. The study proposes a model for understanding the student perception about the internship programme they have undergone and managerial implications are suggested. Originality: The study highlights the importance of Industry Internship programme for management students’ along with academic curriculum to be offered by higher education institutes and empirically proves the model. Paper Type: Case Study with Empirical Analysis
Parental Support and Problematic Smartphone Use: A Serial Mediating Model of Self-Esteem and Fear of Missing Out

Based on problem behavior theory and interpersonal acceptance–rejection theory, this study aimed to examine the mediating roles of self-esteem and fear of missing out (FoMO) on the influence of parental support on adolescents’ problematic smartphone use. This study is a cross-sectional and descriptive study. A total of 260 Korean adolescents from two public middle schools were selected through convenience sampling (female, 50.4%; mean age, 13.16 ± 0.84; range age, 12~15). Participants completed self-report questionnaires assessing sociodemographic characteristics, parental support, self-esteem, FoMO, and problematic smartphone use. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficients, and mediation analysis. The findings show that self-esteem and FoMO play a serial mediating role in the relationship between parental support and adolescents’ problematic smartphone use. Specifically, parental support had a negative effect on adolescents’ problematic smartphone use by increasing self-esteem but decreasing FoMO. These results provide further guidance in the prevention of and intervention of adolescent problematic smartphone use.
About the Importance of Planning the Location of Recycling Stations in the Urban Context

Recycling is essential to the circular economy and reduces the environmental impact of our consumption. Creating conditions for recycling in new residential areas is relatively easy but finding good recycling opportunities in existing residential areas is more complicated. The recycling of newspapers, plastic and glass must be relatively close to where people live; at the same time, the locations must be relatively discreet and not disturb the residents in the area. The purpose of the article is to analyse the effect of small and local recycling stations (RCSs) on the attractiveness of residential areas. This has been made possible by analysing housing values for almost 200,000 housing units near 250 RCSs in Stockholm, Sweden. Using an identification strategy that relies on postal code fixed effects, we find evidence that the proximity to RCS affects housing prices on average in both owner-occupied single-family houses and cooperative owner-occupied apartments (condominiums). The results indicate that proximity to the RCS is negatively capitalised in housing values (the effect amounts to approximately 1.3 percent of the housing values), which indicates that the city should consider this in its planning.
Machine Learning Models to Predict In-Hospital Mortality among Inpatients with COVID-19: Underestimation and Overestimation Bias Analysis in Subgroup Populations

Prediction of the death among COVID-19 patients can help healthcare providers manage the patients better. We aimed to develop machine learning models to predict in-hospital death among these patients. We developed different models using different feature sets and datasets developed using the data balancing method. We used demographic and clinical data from a multicenter COVID-19 registry. We extracted 10,657 records for confirmed patients with PCR or CT scans, who were hospitalized at least for 24 hours at the end of March 2021. The death rate was 16.06%. Generally, models with 60 and 40 features performed better. Among the 240 models, the C5 models with 60 and 40 features performed well. The C5 model with 60 features outperformed the rest based on all evaluation metrics; however, in external validation, C5 with 32 features performed better. This model had high accuracy (91.18%), F-score (0.916), Area under the Curve (0.96), sensitivity (94.2%), and specificity (88%). The model suggested in this study uses simple and available data and can be applied to predict death among COVID-19 patients. Furthermore, we concluded that machine learning models may perform differently in different subpopulations in terms of gender and age groups.
Immunization of Cattle With Recombinant Structural Ectodomains I and II of Babesia bovis Apical Membrane Antigen 1 [BbAMA-1(I/II)] Induces Strong Th1 Immune Response

Both strong innate and adaptive immune responses are an important component of protection against intraerythrocytic protozoan parasites. Resistance to bovine babesiosis is associated with interferon (IFN)-γ mediated responses. CD4+ T cells and macrophages have been identified as major effector cells mediating the clearance of pathogens. Previously, the apical membrane antigen 1 (AMA-1) was found to significantly induce the immune response inhibiting B. bovis merozoite growth and invasion. However, a detailed characterization of both humoral and cellular immune responses against the structure of B. bovis AMA-1 (BbAMA-1) has not yet been established. Herein, the present study aimed to express the recombinant BbAMA-1 domain I+II protein [rBbAMA-1(I/II)], which is the most predominant immune response region, and to characterize its immune response. As a result, cattle vaccinated with BbAMA-1(I/II) significantly developed high titters of total immunoglobulin (Ig) G antibodies and a high ratio of IgG2/IgG1 when compared to control groups. Interestingly, the BbAMA-1(I/II)-based formulations produced in our study could elicit CD4+ T cells and CD8+ T cells producing IFN-γ and tumor necrosis factor (TNF)-α. Collectively, the results indicate that immunization of cattle with BbAMA-1(I/II) could induce strong Th1 cell responses. In support of this, we observed the up-regulation of Th1 cytokine mRNA transcripts, including IFN-γ, TNF-α, Interleukin (IL)-2 and IL-12, in contrast to down regulation of IL-4, IL-6 and IL-10, which would be indicative of a Th2 cytokine response. Moreover, the up-regulation of inducible nitric oxide synthase (iNOS) was observed. In conclusion, this is the first report on the in-depth immunological characterization of the response to BbAMA-1. According to our results, BbAMA-1 is recognized as a potential candidate vaccine against B. bovis infection. As evidenced by the Th1 cell response, it could potentially provide protective immunity. However, further challenge-exposure with virulent B. bovis strain in immunized cattle would be needed to determine its protective efficacy.
A Comparative Study on the Effects of “Honey and Fenugreek” with “Fenugreek” on the Breastfeeding Success: A Randomized Trial

Objective Herbal galactagogues are usually recommended to be sweetened with honey. Despite the high nutritious value of honey for lactating women and extensive studies on the effects of herbal galactagogues, no investigation was made to compare galactagogue effects of using herbal galactagogues with and without honey so far. The present study aimed to compare the effect of a combination of “honey and fenugreek” with “fenugreek” on breastfeeding success (BFS). Methods This study is a triple-blind randomized clinical trial on 75 breastfeeding mothers referred to a Tehran-Iran health center. The participants were randomly divided into two intervention (fenugreek and honey users) and control (fenugreek users) groups. These women had infants of 1–5 months and had exclusive breastfeeding practice. Tools for data collection were (1) the personal and maternal-infant information, (2) the breastfeeding success, and (3) the complications questionnaires. Participants received 30 liquid drops, three times daily for four weeks. The BFS questionnaire was completed twice, before and 4 weeks after the intervention. The CONSORT checklist was followed. Results Before and after comparison showed no significant difference in the BFS score in the “fenugreek” group, while there was a significant increase in the BFS score in the “honey and fenugreek” group (P=0.035). Between groups, comparison demonstrated a significantly higher score of BFS in the intervention group than in the control group (P=0.023). There were no significant differences between the two groups regarding the possible complications. Conclusion The combination of honey with fenugreek showed a significant effect on BFS, while there was no improvement in BFS after fenugreek only uses. Trial registration: the study was approved in the Iranian registry of clinical trials with IRCT ID: IRCT20120122008801N23 on 2019-12-30 (https://www.irct.ir/).
Influence of admixtures on the performance of soundless chemical demolition agents and implications for their utilization

Soundless Chemical Demolition Agents (SCDAs) are an environmentally friendly and safer alternative to traditional rock fragmentation methods. Admixtures are used to change the rheological properties and performance of SCDAs. This study aimed to investigate the effect of various concentrations of chemical accelerators (chloride salts) and viscosity enhancing agents (VEAs: Xanthan gum, Guar gum, and Gellan gum) on the fracture onset compared to an unmodified SCDA (BRISTAR 100®). All experiments were conducted on Portland Type 1 (OPC 1) cement blocks. The flowability of the mixtures was determined by mini-slump tests. Results show that 4wt% MgCl2 and 3wt% CaCl2 have accelerated the fracture onset by 47.4% and 61.2%, respectively. VEAs have a decelerating effect, which is mitigated by the addition of the aforementioned chloride salts. Combining 4wt% MgCl2 with 0.2wt% Xanthan gum reduced the fracture onset time by 66.8%. A cost analysis shows that the initial price of the SCDA mainly determines a potential cost reduction by using admixtures. For a low-cost SCDA, the focus is likely to shift to saving time. This study can serve as a basis for future studies to further improve performance and cost as well as diversify the range of applications for SCDAs.
Calculation of Viscous Transonic Flows about a Supercritical Airfoil.

Abstract : A critical examination of several aspects of the numerical simulation of high Reynolds number transonic airfoil flows is presented. Subcritical and supercritical flow fields about an aft-cambered airfoil were generated by solving the mass-averaged Navier-Stokes equations with turbulence incorporated through an algebraic eddy viscosity model. The governing equations were solved on curvilinear body-fitted grids utilizing two different algorithms. , i.e., MacCormack's explicit and Beam-Warming implicit. The numerical uncertainties associated with different schemes, grid resolution, artificial viscosity and far field boundary placement were investigated and found to be of the same order of magnitude or less than the corresponding uncertainties in the available experimentat data. Comparison of computed and experimental results showed good prediction of all the essential flow features. However, detailed comparison of velocity profiles pointed out deficiencies of the turbulence model downstream of the shock/boundary layer interaction in the airfoil cove and in the near-wake. Thin-layer and Navier-Stokes computed results were found in excellent agreement with each other. However, the Euler equations failed to provide a reasonable approximation of the flow due to the dramatic viscous-inviscid interaction effects for supercritical airfoils. Keywords: Computational fluid dynamics, MacCormack's explicit algorithm, Transonic flow, and Numerical methods and procedures.
Applications of Image-Based Computer Vision for Remote Surveillance of Slope Instability

Landslides and slope failures represent critical hazards for both the safety of local communities and the potential damage to economically relevant infrastructure such as roads, hydroelectric plants, pipelines, etc. Numerous surveillance methods, including ground-based radar, InSAR, Lidar, seismometers, and more recently computer vision, are available to monitor landslides and slope instability. However, the high cost, complexity, and intrinsic technical limitations of these methods frequently require the design of alternative and complementary techniques. Here, we provide an improved methodology for the application of image-based computer vision in landslide and rockfall monitoring. The newly developed open access Python-based software, Akh-Defo, uses optical flow velocity, image differencing and similarity index map techniques to calculate land deformation including landslides and rockfall. Akh-Defo is applied to two different datasets, notably ground- and satellite-based optical imagery for the Plinth Peak slope in British Columbia, Canada, and satellite optical imagery for the Mud Creek landslide in California, USA. Ground-based optical images were processed to evaluate the capability of Akh-Defo to identify rockfalls and measure land displacement in steep-slope terrains to complement LOS limitations of radar satellite images. Similarly, satellite optical images were processed to evaluate the capability of Akh-Defo to identify ground displacement in active landslide regions a few weeks to months prior to initiation of landslides. The Akh-Defo results were validated from two independent datasets including radar-imagery, processed using state of the art SqueeSAR algorithm for the Plinth Peak case study and very high-resolution temporal Lidar and photogrammetry digital surface elevation datasets for the Mud Creek case study. Our study shows that the Akh-Defo software complements InSAR by mitigating LOS limitations via processing ground-based optical imagery. Additionally, if applied to satellite optical imagery, it can be used as a first stage preliminary warning system (particularly when run on the cloud allowing near real-time processing) prior to processing more expensive but more accurate InSAR products such as SqueeSAR.
Trends, Enablers, and Barriers for Car Ownership

Car ownership has been the object of interest in various research areas. Studies on the topic focus especially on the influence of factors such as environment, life, family events, use, and availability, usually restricted to a given city or region. This paper focuses on recent studies that identified enablers, barriers, and trends related to car ownership in the automotive sector. We use an exploratory-qualitative approach based on systematic mapping of the literature to select papers published between 2019 and March 2021 on the Scopus database. As a result, we first classified the factors that act as enablers or barriers to the acquisition and maintenance of cars. These factors were divided into the following six groups: personal, cultural, political, economic, technological, and environmental. Next, we identified car-ownership-related trends for the automotive sector: purchase replaced by effective use; restrictions on car ownership; autonomous driving; sustainable mobility; new mobility models; customized customer service; real-time integrated modal communication, systematic global traffic, and integrated urban planning. We consider our findings to be relevant contributions to the industry in relation to establishing strategies and public administrators acting in the transportation planning field.
The Effect of Claustrophobic Tendencies on Digital Spatial Preferences

In digital environments, the demand for larger devices (e.g., larger smartphones) has been growing continuously, indicating users’ spatial needs in digital interfaces. This study explores the need for space in digital interfaces in relation to claustrophobic tendencies. The findings from two studies consistently report that (1) stronger claustrophobic tendencies toward physical spatial constraints are positively associated with a stronger need for digital space. The results also demonstrate that (2) people with elevated claustrophobic tendencies and a stronger need for digital space perceive stronger spatial constraints on digital interfaces, and (3) claustrophobic tendencies and need for digital space have stronger effects on spatial constraints with a more complex grid design. Interestingly, the findings suggest that (4) claustrophobic tendencies are more closely associated with spatial needs from attentive tasks (e.g., reading a long document), than device-related spatial needs (e.g., large screen preferences), implying that such claustrophobic tendencies are more likely to influence cognitive tasks on digital devices. Overall, the findings indicate that claustrophobic tendencies may be utilized beyond medical purposes and may assist researchers and business practitioners understand users’ spatial needs in fast-changing digital environments.
Prognostic value of serial score measurements of the national early warning score, the quick sequential organ failure assessment and the systemic inflammatory response syndrome to predict clinical outcome in early sepsis

Background and importance Sepsis is a common and potentially lethal syndrome, and early recognition is critical to prevent deterioration. Yet, currently available scores to facilitate recognition of sepsis lack prognostic accuracy. Objective To identify the optimal time-point to determine NEWS, qSOFA and SIRS for the prediction of clinical deterioration in early sepsis and to determine whether the change in these scores over time improves their prognostic accuracy. Design Post hoc analysis of prospectively collected data. Settings and participants This study was performed in the emergency department (ED) of a tertiary-care teaching hospital. Adult medical patients with (potential) sepsis were included. Outcome measures and analysis The primary outcome was clinical deterioration within 72 h after admission, defined as organ failure development, the composite outcome of ICU-admission and death. Secondary outcomes were the composite of ICU-admission/death and a rise in SOFA at least 2. Scores were calculated at the ED with 30-min intervals. ROC analyses were constructed to compare the prognostic accuracy of the scores. Results In total, 1750 patients were included, of which 360 (20.6%) deteriorated and 79 (4.5%) went to the ICU or died within 72 h. The NEWS at triage (AUC, 0.62; 95% CI, 0.59–0.65) had a higher accuracy than qSOFA (AUC, 0.60; 95% CI, 0.56–0.63) and SIRS (AUC, 0.59; 95% CI, 0.56–0.63) for predicting deterioration. The AUC of the NEWS at 1 h (0.65; 95% CI, 0.63–0.69) and 150 min after triage (0.64; 95% CI, 0.61–0.68) was higher than the AUC of the NEWS at triage. The qSOFA had the highest AUC at 90 min after triage (0.62; 95% CI, 0.58–0.65), whereas the SIRS had the highest AUC at 60 min after triage (0.60; 95% CI, 0.56–0.63); both are not significantly different from triage. The NEWS had a better accuracy to predict ICU-admission/death <72 h compared with qSOFA (AUC difference, 0.092) and SIRS (AUC difference, 0.137). No differences were found for the prediction of a rise in SOFA at least 2 within 72 h between the scores. Patients with the largest improvement in any of the scores were more prone to deteriorate. Conclusion NEWS had a higher prognostic accuracy to predict deterioration compared with SIRS and qSOFA; the highest accuracy was reached at 1 h after triage.