Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction and Performance Evaluation of a Solar Powered Maize Sheller for Rural Farmers

: The objective of this work is to construct a simple and affordable maize shelling machine that is powered by solar energy. The method adopted involves the selection of a direct current (DC) operated motor which consumes less power and is locally available. Based on the available motor, the mechanical part is fabricated to work with the motor. Direct coupling method is adopted between the motor and the mechanical part. The improvement in this work is the introduction of a sustainable and affordable powering method. Design calculation has suggested the use of an 80-watt solar panel. A battery of 18Ah capacity is used as storage to cushion the effect of the intermittent nature of the sun. Test carried out on the sheller shows that it has the ability to shell 17.25 kg of kernel in one hour. It has also been shown that the developed device has an efficiency of 89.61%. The total production cost of this sheller (together with the solar power system) is approximately sixty thousand naira (N60,000.00/$167).
Promoting behavior-related low back health in nursing staff by in-person and interactive social media interventions in the workplace: a randomized trial

Background: Nurses are put at high risk of work-related low back pain (LBP) due to the nature of their work. There is wide scientific evidence that the incidence and prevalence of LBP in nurses is high. Therefore, promoting behaviors for low back health in nurses is essential. The aim of this study was to develop and evaluate a theory-based educational intervention on promoting behaviors of low back health via in-person and social media education among nursing personnel with LBP. Methods: The educational content was developed with six modules: knowledge, attitude, self-efficacy, reinforcing factors, enabling factors and behavior. Evaluation of the content was undertaken in nurses, mean age 36.50 ± 5.79 years, with LBP recruited to a community randomized controlled trial with two modes of delivery: in-person (n=60) and social media (n=60). Data were collected with a self-designed questionnaire at baseline, 3 and 6 months. Baseline comparisons between groups were made with Mann-Whitney U Test for non-normal data and T-Test for normal data. Comparison of change scores between groups and two delivery types across the three time periods used the mixed between-within subject analysis of variance. Results: A total of 120 nurses received the allocated intervention and completed the baseline and follow-up questionnaires. The results indicated there were no significant statistical differences between two delivery types in the variables at the baseline (p > .05). All educational component scores increased at 3-months in both groups. At the 6-month follow-up scores increased for enabling factors and behavior in the in-person group, while in the social media group all scores increased except for attitude. Based on Bonferroni Post hoc analysis there was the difference between the delivery types; social media was more effective in knowledge (p = .01), self-efficacy (p = .03), reinforcing factor (p = .05) and behavior (p = .001) than the in-person intervention. Conclusion: An educational program for low back health was developed based on the PRECEDE-PROCEED model and proved effective at improving knowledge, attitude, self-efficacy, reinforcing factors, enabling factors and behavior. However, delivery via social media was more successful than in-person in the maintenance of behavior over the long-term.
Aroma volatiles, sensory and chemical attributes of strawberry (Fragaria × ananassa Duch.) achenes and receptacle

Summary This study investigated the aroma volatiles, sensory and chemical attributes of strawberry achenes and receptacle. Samples were subjected to chemical analysis in terms of total soluble solids (TSS), total acidity (TA), total phenolics, anthocyanin content, antioxidant capacity and volatile compounds. Descriptive tests indicated that fresh whole fruit had the best overall quality. Chemical evaluations revealed that the receptacle emitted more aroma volatiles but exhibited lower TSS, phenolics and antioxidant capacity than the achenes. Moreover, achenes plus receptacle contained higher levels of phenolics and antioxidant capacity and showed moderate aroma volatile profiles than frozen whole fruit. The processing of juice showed the higher loss of phenolics, antioxidant capacity and aroma volatiles. Achene induced a significant increase in phenolics and antioxidant capacity. Aroma volatiles were reduced by freezing. These results suggested that the fresh whole fruit puree exhibited better overall quality, which had better sensory attributes, more aroma volatiles and higher antioxidant capacity.
Formally Verified Memory Protection for a Commodity Multiprocessor Hypervisor

Hypervisors are widely deployed by cloud computing providers to support virtual machines, but their growing complexity poses a security risk, as large codebases contain many vulnerabilities. We present SeKVM, a layered Linux KVM hypervisor architecture that has been formally verified on multiprocessor hardware. Using layers, we isolate KVM’s trusted computing base into a small core such that only the core needs to be verified to ensure KVM’s security guarantees. Using layers, we model hardware features at different levels of abstraction tailored to each layer of software. Lower hypervisor layers that configure and control hardware are verified using a novel machine model that includes multiprocessor memory management hardware such as multi-level shared page tables, tagged TLBs, and a coherent cache hierarchy with cache bypass support. Higher hypervisor layers that build on the lower layers are then verified using a more abstract and simplified model, taking advantage of layer encapsulation to reduce proof burden. Furthermore, layers provide modularity to reduce verification effort across multiple implementation versions. We have retrofitted and verified multiple versions of KVM on Arm multiprocessor hardware, proving the correctness of the implementations and that they contain no vulnerabilities that can affect KVM’s security guarantees. Our work is the first machine-checked proof for a commodity hypervisor using multiprocessor memory management hardware. SeKVM requires only modest KVM modifications and incurs only modest performance overhead versus unmodified KVM on real application workloads.
The best laid plans: Computational principles of ACC

Despite continual debate for the past thirty years about the function of anterior cingulate cortex (ACC), its key contribution to neurocognition remains unknown. However, recent computational modelling work has provided insight into this question. Here we review computational models that illustrate three core principles of ACC function, related to hierarchy, world models and cost. We also discuss four constraints on the neural implementation of these principles, related to modularity, binding, encoding and learning and regulation. These observations suggest a role for ACC in hierarchical model-based hierarchical reinforcement learning, which instantiates a mechanism for motivating the execution of high-level plans.
A study of the correlation between chalazion and intestinal flora in chinese children

BackgroundChalazion is a chronic inflammatory granuloma of the meibomian gland formed on the basis of the obstruction of the meibomian gland drainage duct and the retention of secretions. It is one of the most common clinically eye diseases in children. Chronic inflammation of the meibomian glands is responsible for this disease, and the gut flora is thought to be involved in the inflammatory process. In this study, we investigated the relationship between intestinal microbial composition and children's chalazion.MethodsFecal samples were collected from 21 children with chalazion and 26 healthy children. DNA was extracted from fecal stool samples and 16S rRNA sequences in the gut flora were detected by using second second-generation sequencing technology. The results were used to compare the composition of the microbiome between patients and healthy controls.ResultsAccording to Alpha Diversity and Beta Diversity analysis, we found that there was no significant difference in bacteria diversity and relative abundance between the two groups. We compared the flora of the control group and the diseased group through Lefse analysis, and screened out 11 different species. Based on the absolute abundance of species, 43 different species were selected. Anosim analysis and metastats analysis were used to compare the flora of the control group and the diseased group again. At the species level, we found that gut_metagenome and human_gut_metagenome are the common differences in species levels obtained from the above analysis. Finally, corrplot correlation analysis was performed, suggesting that gut_metagenome has a great correlation with the number, ulceration, and recurrence of chalazion in children.ConclusionsThere was no significant difference in the diversity index and relative abundance of flora in children with chalazion compared with healthy children, but there were significant differences in some bacterial species. The gut_metagenome strains identified in this study were significantly related to the growth, ulceration, and relapse of children with chalazion. It is suggested that gut_metagenome may be a microbiological indicator which is independent of clinicopathologic factors but associated with chalazion disease . * These authors have contributed equally to this work.
Capturing the Research Advantage

Managers and traders, often at the insistence of plan sponsors, are pressures to reduce commissions and trading impact in an attempt to improve investment returns. The evidence presented here suggests that this policy is misguided: that reducing commissions and impact does not enhance performance. Organizations that avoid high-cost trades fail to balance the probability of favorable returns against the necessity of execution cost. Perversely, by avoiding high-cost decisions, investment organizations also avoid the decisions with the greatest potential to improve performance.
Development of Event Receiver on Zynq-7000 Evaluation Board

The timing system of SuperKEKB accelerator is used Event Timing System developed by Micro Research Finland. In this presentation, we tested the receiver on Zynq7000 evaluation board. The serialized event data are transferred from Event Generator to Event Receiver by using GTX transceiver. So, we selected Zynq7000(7z030) as receiver, because the FPGA has the GTX. And also, Zynq is mounted on arm processor, it is easily able to control received event data stream by using EPICS ICO. Finally we are aiming to combine event system and RF or BPM system in one FPGA board.
Synthesis, structure and magnetic properties of CoFe2O4 ferrite nanoparticles

CoFe2O4 nanoparticles with different morphologies were successfully synthesized by co-precipitation method, followed by heat treatment. XRD patterns showed that a single phase ferrite was obtained. By the method of heating, the effect on the morphology and properties of the CoFe2O4 nanoparticles is studied. The synthesis conditions (oxidation process and temperature) dominated the formation of crystals with different morphologies. The oxidation and growth mechanisms behind the formation of CoFe2O4 nanocrystals were investigated. The saturation magnetization of the CoFe2O4 samples was lower than the bulk value, which could be explained by the reduction of the particle size. The highest value of coercivity of all the samples is 155.5 kA m−1 for the CoFe2O4 nanorods. Compared with the Hc value of cobalt ferrite nanoflakes, the rod shaped cobalt ferrite has a higher coercivity. The remanence ratio of the CoFe2O4/FeCo is 0.56, which indicates a strong exchange coupling between hard and soft phase.
The shift-of-strategy (SoS) approach: using evidence strategically to influence suspects’ counter-interrogation strategies

ABSTRACT The Shift-of-Strategy (SoS) approach is an extension of the Strategic Use of Evidence technique. In the SoS approach, interviewers influence suspects’ strategies to encourage suspects to become more forthcoming with information by challenging discrepancies between their statements and the available evidence, in a non-accusatory manner. Our aim was to test the effectiveness of two variations of the SoS approach, one in which the interviewer responded immediately to any discrepancies with the evidence (Reactive) and one in which the interviewer only responded to severe discrepancies (Selective). We predicted that the SoS approach conditions would be more effective at eliciting new information from mock suspects, compared to direct questioning. In a laboratory experiment, N = 300 mock suspects committed a simulated crime and were interviewed using one of the two versions of the SoS approach or with an interviewing approach that did not involve the presentation of evidence. The Reactive version of the SoS approach was more effective than direct questioning at eliciting new information from mock suspects. The Reactive technique also led participants to change their strategies during the interview. The present experiment provided initial support for the core principles of the SoS approach.
Synthesis of conducting polymer Polypyrrole-MoO3 nanocomposites

Polypyrrole was synthesized using ferric chloride (FeCl 3 ) as oxidant, the ratio of monomer and oxidant was 1:2.4. The polymerization was carried out at 5oC. Molybdenum oxide nanoparticles were synthesized using citric acid as capping agents by sol-gel method. Ppy- MoO 3 nanocomposites was prepared by mixing of molybdenum oxide nanoparticles and Ppy, and were characterized by using FT-IR, XRD, SEM-EDS and TEM analysis techniques .
Heavy Metal-Induced Co-Selection for Antibiotic Resistance in Terrestrial Subsurface Soils

Background: Terrestrial surface ecosystems are important sinks for antibiotic resistance genes (ARGs) due to the continuous discharge of contaminants from human-impacted ecosystems. However, factors determining the abundance and resistance types of ARGs in terrestrial subsurface soils remain largely unknown. In this study, we investigated the abundance and diversity of ARGs, and their correlations with metal resistance genes (MRGs), mobile genetic elements (MGEs), bacteria, and heavy metals in subsurface soils in a global scale using high throughput quantitative PCR and metagenomic sequencing approaches. Results: Abundant and diverse ARGs were detected with high spatial heterogeneity among the sampling sites. Vertically, there was no significant difference in the ARG profiles between the aquifer and non-aquifer soils. Heavy metals were the key factors shaping ARG patterns in soils with high heavy metal contents, while they induced no significant effect in low contents. Moreover, heavy metals could trigger the proliferation of antibiotic resistance by increasing MGE abundance or influencing bacterial communities. Metagenomic analysis also revealed the widespread co-occurrence of ARGs and MRGs, with heavy metals possibly aggravating the co-selection of ARGs and MRGs in soils with high heavy metal contents. Conclusions: This study highlighted the heavy metal-induced co-selection for ARGs and MRGs and revealed the occurrence of ARG pollution in terrestrial subsurface soils.
Using evolutionary algorithms to uncover individual differences in how humans represent facial emotion

How humans perceive and represent emotional facial expressions critically guides social interactions and has a profound impact on social cognition. However, much emotion research to date is potentially flawed by relying on the assumption that people represent categorical emotions in the same way, using standardised stimulus sets and therefore overlooking important individual differences in emotion processing. To resolve this problem, we developed a task using Genetic Algorithms and derived participant-generated emotional expressions from 105 individuals. A separate group (N=108) was then asked to identify the expression on these faces. Taken together, results showed relative population-level consistency in the representation of happy faces alongside a high degree of variability in the representation of fear and sadness. High test-retest reliability was observed. This novel method enables the efficient quantification of variation in how people represent emotional expressions, presenting promising advances for the study of individual differences in social cognition and emotion processing.
Inclusive Leadership, Psychological Empowerment, and Affective Organizational Commitment: A Mediated Model

Inclusive leadership has become an important contextual factor to study in organizations given its impact on positive workplace outcomes. However, little is known about the ability of inclusive leadership to affect a wider range of outcomes and the various mediating mechanisms between inclusive leadership and outcomes. Therefore, the present study explored the mediating role of psychological empowerment on the relationship between inclusive leadership and affective organizational commitment. It was hypothesized that inclusive leadership would be positively related to affective organizational commitment both directly and indirectly through psychological empowerment. Results of an online survey from 189 employed individuals showed that inclusive leadership was positively related to affective organizational commitment. Results also showed that psychological empowerment partially mediated the relationship between inclusive leadership and affective organizational commitment, particularly through the meaning and impact dimensions of psychological empowerment. The present study contributes to the existing literature by highlighting the positive relationship between inclusive leadership and affective organizational commitment and the mediating role of psychological empowerment. These findings suggest that management development programs should focus on increasing managers’ levels of openness, availability, and accessibility in their interactions with employees.
Care Bundle for Medical Device-Related Pressure Injuries in Covid-19 times

Objective: To validate the content of the Nursing Care Bundle for the prevention, diagnosis and treatment of Medical device-related Pressure Injuries. Method: Methodological study, with a quantitative approach, conducted in May and June 2019, with a sample of 20 nurses specialized in stomatherapy, using an electronic form, consisting of prevention actions, nursing diagnoses and treatments for Medical device-related Pressure Injuries. For data analysis, the content validity index (≥0.8) was used. Results: The Bundle was validated in its final version with care aimed at prevention, nursing diagnosis and treatment of Medical device-related Pressure Injuries, with CVI of 0.93. Conclusions: The validated Bundle contributes to reducing the occurrence of Medical device-related Pressure Injuries by qualifying the nursing care provided, envisioning patient safety in Covid-19 times.
Integrated mRNA and miRNA expression profiling analyses of Pinus massoniana roots and shoots in response to phosphate deficiency

Background Masson pine ( Pinus massoniana ) is primarily present in subtropical and tropical areas of China, which are severely deficient in inorganic phosphate (Pi). Although some studies identified transcriptomic and proteomic responses to Pi deficiency in Masson pine seedlings, different tissues, especially the roots, that exhibit primary responses to low-Pi stress, have not been well studied. To shed further light on the complex responses of Masson pine to Pi deficiency, a spatiotemporal experiment was performed to identify differentially expressed mRNAs and miRNAs under Pi-deficient conditions. Results Spatiotemporal analyses of 72 RNA sequencing libraries provided a comprehensive overview of the dynamic responses of Masson pine to low-Pi stress. Differentially expressed gene analysis revealed several high-affinity phosphate transporters and nitrate transporters, reflecting the crosstalk between nitrate and Pi homeostasis in plants. The MYB family was the most abundant transcription factor family identified. miRNA differential expression analysis identified several families that were associated with Pi deficiency, such as miR399. In addition, some other families, including novel miRNA families in Masson pine, were dramatically changed in response to Pi starvation. GO and KEGG analyses of these mRNAs and targets of miRNAs indicated that metabolic processes were most enriched under Pi deficiency. Conclusions This study provided abundant spatiotemporal transcriptomic information to functionally dissect the response of Masson pine seedlings to Pi deficiency, which will aid in further elucidation of the biological regulatory mechanisms of pines in response to low-Pi stress.
Testing the Magnitude of Correlations Across Experimental Conditions

Correlation coefficients are often compared to investigate data across multiple research fields, as they allow investigators to determine different degrees of correlation to independent variables. Even with adequate sample size, such differences may be minor but still scientifically relevant. To date, although much effort has gone into developing methods for estimating differences across correlation coefficients, adequate tools for variable sample sizes and correlational strengths have yet to be tested. The present study evaluated four different methods for detecting the difference between two correlations and tested the adequacy of each method using simulations with multiple data structures. The methods tested were Cohen’s q, Fisher’s method, linear mixed-effects models (LMEM), and an ad hoc developed procedure that integrates bootstrap and effect size estimation. Correlation strengths and sample size was varied across a wide range of simulations to test the power of the methods to reject the null hypothesis (i.e., the two correlations are equal). Results showed that Fisher’s method and the LMEM failed to reject the null hypothesis even in the presence of relevant differences between correlations and that Cohen’s method was not sensitive to the data structure. Bootstrap followed by effect size estimation resulted in a fair, unbiased compromise for estimating quantitative differences between statistical associations and producing outputs that could be easily compared across studies. This unbiased method is easily implementable in MatLab through the bootes function, which was made available online by the author at MathWorks.