Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling the drying kinetics of microwave vacuum drying of concentrated skim milk: correlation of dielectric properties, drying stages, and specific energy demand at pilot scale

Abstract This study establishes a correlation between dielectric properties, drying parameters, drying rate and energy demand for microwave vacuum drying (MVD) of concentrated skim milk (CSM). MVD was conducted using a EnWave nutraReV™ unit, at various specific power inputs (0.86, 1.29, 1.72 W g-1), drying pressures (30 to 147 mbar), and CSM layer thickness (1 to 4 mm). The drying rate based on moisture ratio was estimated using the Page model. The specific energy consumption was lowest as CSM dried from 50 to 15% moisture, then rapidly increased as the drying rate decreased due to a low ε” at <15% moisture. The loss factor ε” of CSM at 2.45 GHz increased up to 35% total solids, then steadily decreased up to 95% solids. The specific electrical energy demand of the MVD unit, which accounted for all utility flows at full capacity, was 2.85 kWh kg-1 water evaporated, with the magnetrons accounting for 2.14 kWh kg-1. This study provides valuable data on drying kinetics and energy demand during MVD of CSM, and an approach that can help processors assess the energy efficiency of MVD for various food applications.
Manipulating molten pool dynamics during metal 3D printing by ultrasound

Ultrasound-assisted direct energy deposition (UADED) attracts increasing attention due to its capability to tailor the grain structure. However, the involved molten pool dynamics, particularly the complex interaction of ultrasound-flow-solidification, remain unclear to date, which hinders quantitative prediction and regulation of the microstructures and mechanical properties of UADED components. Here, in situ high-speed imaging and high-fidelity multi-physics modeling are leveraged to investigate flow characteristics and liquid-to-solid transformation in UADED for Inconel 718. The inertial force activated by ultrasound is revealed to drive the molten pool to flow forward and backward along the vibration direction, resulting in poor surface quality. A hybrid deposition strategy is developed to minimize ultrasound-induced defects and produce superior microstructure with alternating coarse- and fine- grains. Such a layered microstructure results in 28% and 15% improvement in the yield strength and ultimate tensile strength compared to the counterpart by additive manufacturing without ultrasound. This work provides unprecedented understanding into the molten pool dynamics in the UADED process as well as valuable guidance to manipulate molten pool flow.
Symblepharon ring-amniotic membrane application in persistent corneal epithelial defect

The aim of this study was to assess the efficacy of sutureless amniotic membrane (AM) technique using a symblepharon ring-AM patch on the persistent epithelial defects and resistant to medical treatment. Two patients to whom an AM patch was applied to the ocular surface using a polymethyl methacrylate symblepharon ring due to corneal surface disorders are evaluated. The implantation of ring-AM was not complicated. Irritation and epithelial defect decreased in both cases. Eventually, vascularized leukoma developed. Ring-AM implantation is a non-invasive and easy procedure in the treatment of ocular surface disease. Ring-AM is an effective and safe biologic bandage in patients, who refuse surgical procedure or to whom surgery is contraindicated due to systemic diseases.
Efficacy and Safety of Pathogen-Reduced Platelets Compared with Standard Apheresis Platelets: A Systematic Review of RCTs

In this systematic review, we evaluate the efficacy and safety of blood components treated with pathogen reduction technologies (PRTs). We searched the Medline, Embase, Scopus, Ovid, and Cochrane Library to identify RCTs evaluating PRTs. Risk of bias assessment and the Mantel–Haenszel method for data synthesis were used. We included in this review 19 RCTs evaluating 4332 patients (mostly oncohematological patients) receiving blood components treated with three different PRTs. Compared with standard platelets (St-PLTs), the treatment with pathogen-reduced platelets (PR-PLTs) does not increase the occurrence of bleeding events, although a slight increase in the occurrence of severe bleeding events was observed in the overall comparison. No between-groups difference in the occurrence of serious adverse events was observed. PR-PLT recipients had a lower 1 and 24 h CI and CCI. The number of patients with platelet refractoriness and alloimmunization was significantly higher in PR-PLT recipients compared with St-PLT recipients. PR-PLT recipients had a higher number of platelet and RBC transfusions compared with St-PLT recipients, with a shorter transfusion time interval. The quality of evidence for these outcomes was from moderate to high. Blood components treated with PRTs are not implicated in serious adverse events, and PR-PLTs do not have a major effect on the increase in bleeding events. However, treatment with PRTs may require a greater number of transfusions in shorter time intervals and may be implicated in an increase in platelet refractoriness and alloimmunization.
Minimally Invasive Spine Stabilization for Pyogenic Spondylodiscitis: A 23-Case Series and Review of Literature

Background and Objectives: The incidence of pyogenic spondylodiscitis has been increasing due to the aging of the population. Although surgical treatment is performed for refractory pyogenic spondylodiscitis, surgical invasiveness should be considered. Recent minimally invasive spine stabilization (MISt) using percutaneous pedicle screw (PPS) can be a less invasive approach. The purpose of this study was to evaluate surgical results and clinical outcomes after MISt with PPS for pyogenic spondylodiscitis. Materials and Methods: Clinical data of patients who underwent MISt with PPS for pyogenic spondylitis were analyzed. Results: Twenty-three patients (18 male, 5 female, mean age 67.0 years) were retrospectively enrolled. The mean follow-up period was 15.9 months after surgery. The causative organism was identified in 16 cases (69.6%). A mean number of fixed vertebrae was 4.1, and the estimated blood loss was 145.0 mL. MISt with PPS was successfully performed in 19 of 23 patients (82.6%). Four cases (17.4%) required additional anterior debridement and autologous iliac bone graft placement. CRP levels had become negative at an average of 28.4 days after surgery. There was no major perioperative complication and no screw or rod breakages during follow-up. Conclusions: MISt with PPS would be a less invasive approach for pyogenic spondylodiscitis in elderly or immunocompromised patients.
Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow

By predicting and informing the future of traffic through intelligent transportation systems, there is more readiness to avoid traffic congestion. In this study, an ensemble learning process is proposed to predict the hourly traffic flow. First, three base models, including K-nearest neighbors, random forest, and recurrent neural network, are trained. Predictions of base models are given to the XGBoost stacking model and bagged average to determine the final prediction. Two groups of models predict traffic flow of short-term and mid-term future. In mid-term models, predictor features are cyclical temporal features, holidays, and weather conditions. In short-term models, in addition to the mentioned features, the observed traffic flow in the past 3 to 8 hours has been used. The results show that for both short-term and mid-term models, the least prediction error is obtained by the XGBoost model. In mid-term models, the root mean square error of the XGBoost for the Saveh to Tehran direction and Tehran to Saveh direction is 521 and 607 (veh/hr), respectively. For short-term models, these values are decreased to 453 and 386 (veh/hr). This model also brings less prediction error for predicting the first and fourth quartiles of the observed traffic flow as rare events.
Explainable AI for Security of Human-Interactive Robots

Abstract This article considers the ways that explainable AI can be used to help secure human-interactive robots. To do so, we acknowledge that robots interact with a variety of people. For example, some people may operate robots that perform tasks in their homes or offices, while other people may be tasked with defending robots from potential attackers. We describe how explainable AI can be used to help the human operators of robots appropriately calibrate the trust they have in their systems, and we demonstrate this through an implementation. We also describe a novel generalizable human-in-the-loop framework based on control loops to characterize and explain attacks on robots to a robot defender. We explore the utility of such a framework through an analysis of its application in the incident management process, applied to robots. This framework allows formal definition of explainability, and the necessary condition for explainability in robots. The overarching goal of this article is to introduce the application of explainability for security of robotics as a novel area of research, therefore, we also discuss several open research problems we uncovered while applying explainable AI to security of robots.
Uma avaliação do Sistema de Informações sobre Mortalidade

RESUMO O artigo avalia indicadores de qualidade do Sistema de Informacoes sobre Mortalidade (SIM) com profissionais e gestores. Cada indicador foi analisado com uso de oscilador estocastico para avaliacao qualitativa de escalas Likert. A avaliacao indicou que o SIM possui funcionalidades que atendem os usuarios, e efetivo a gestao, apresenta desempenho adequado, possibilita auditoria e rastreamento de acessos e operacoes, possui mecanismos que garantem a recuperacao de dados em situacoes de falhas e possui uma interface robusta. Os indicadores de interoperabilidade foram mal avaliados, confirmando relatos sobre falta de integracao, fragmentacao e duplicidade de informacoes nos sistemas de informacao de saude do Sistema Unico de Saude.
Parallel Improved Genetic Algorithm for the Quadratic Assignment Problem

—Quadratic Assignment Problem is one of the most common combinatorial optimization problems that represents many real-life problems. Many techniques are applied to solve Quadratic Assignment Problem, these include exact, heuristic, and metaheuristic methods. A Genetic Algorithm is a powerful heuristic approach used to find optimal solutions or near-to-optimal for Quadratic Assignment smelborp. In this paper, we developed a Genetic Algorithm with a new crossover operator with new technology closer to that found in nature without a crossover point and a new suggested intelligent mutation operator, then we developed a Parallel Genetic Algorithm using the same crossover and mutation. The sequential Genetic Algorithm will be implemented in the Central Processing Unit (CPU), and the Parallel Genetic Algorithm will be implemented in the Graphical Processing Unit (GPU). This paper presents two comparisons, first calculates elapsed time for crossover, mutation, and selection in both CPU and GPU, then compares the results. This comparison clearly shows the enhancement degree of computation time in the parallel environment, which is around half the time executed in the sequential environment. The second comparison, iterates these operators into several generations, using twenty benchmark instances reported in Quadratic Assignment Problem Library with sizes from (12-70), population size equal to 600, the number of generations equal to 2000, and the maximum number of parallel threads will be 600. Proposed crossover and mutation give the optimal solutions with ten benchmarks with problem sizes from 12 to 32 in both Sequential Genetic Algorithm and Parallel Genetic Algorithm, the next ten benchmarks give solutions closed to the optimal solution with a small error rate.
Mentoring as an Investment: A Quantitative Review of Mentoring and Well-Being for the Protégé

Although mentoring often confers valuable benefits to the protégé, mentoring may also entail costs (e.g., time, effort, ego threat), resulting in added stressors and strain. Drawing on the job demands-resources model, the present quantitative review examines how mentoring influences protégé stressors and strains. We reviewed 90 published and unpublished studies with at least one mentoring variable and one stressor or strain measure to identify commonly studied relationships to analyze (e.g., mentoring functions received and role conflict). Due largely to heterogeneity in the operationalization of mentoring, only 18 samples representing six effects could be aggregated. Results indicate that mentoring may have both positive and negative relationships with stressors and strains. This is consistent with the job demands-resources theory, which suggests that job demands induce strain, but these job demands may be mitigated by resources that may be available via characteristics of the mentoring relationship.
Influence of critical success factors of total quality management on financial and non-financial performance of hospitality industry: an empirical study

This research focuses on the empirical study of the influence of critical success factors (CSFs) of total quality management (TQM) on the financial and non-financial performance in the hospitality industry. Essentially, the research involves the CSFs: customer management, top management leadership, people management, organisational learning, process management, continual improvement, quality information management, and supplier management as the exogenous variables of study the two measures of performance as the endogenous variables. The research methodology involves structural equation modelling (SEM) using partial least square method (PLSM). The sample size chosen is 331 based on convenience sampling. A metric has been developed and validated for use in this context. The results have indicated that top management leadership, organisational learning, quality information management, and supplier management have significant influence on the endogenous variables. Accordingly, implications are drawn for the strategic managers of hospitality industry so that these CSFs can be focused for better performance of the industry. The outcome of the research has the potential to help the strategic managers of hospitality industry in Qatar in the setting up of the policies for better performance in this important point in time when Qatar is in the process of planning for FIFA world cup in 2022.
SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis

Abstract Coronary artery disease (CAD) is one of the major cardiovascular diseases and represents the leading causes of global mortality. Developing new diagnostic and therapeutic approaches for CAD treatment are critically needed, especially for an early accurate CAD detection and further timely intervention. In this study, we successfully isolated human plasma small extracellular vesicles (sEVs) from four stages of CAD patients, that is, healthy control, stable plaque, non‐ST‐elevation myocardial infarction, and ST‐elevation myocardial infarction. Surface‐enhanced Raman scattering (SERS) measurement in conjunction with five machine learning approaches, including Quadratic Discriminant Analysis, Support Vector Machine (SVM), K‐Nearest Neighbor, Artificial Neural network, were then applied for the classification and prediction of the sEV samples. Among these five approaches, the overall accuracy of SVM shows the best predication results on both early CAD detection (86.4%) and overall prediction (92.3%). SVM also possesses the highest sensitivity (97.69%) and specificity (95.7%). Thus, our study demonstrates a promising strategy for noninvasive, safe, and high accurate diagnosis for CAD early detection.
Clinical efficacy and inflammatory factors in knee osteoarthritis with glucosamine hydrochloride plus meloxicam

Purpose: To evaluate the efficacy and change in serum levels of inflammatory factors in knee osteoarthritis (KOA) treated with glucosamine hydrochloride plus meloxicam.Methods: In total, 114 patients with KOA who received glucosamine hydrochloride plus meloxicam treatment were included in the study and equally distributed to a control group and a study group. The control group received glucosamine hydrochloride, and the study group received a similar treatment but, received in additional, meloxicam. Clinical efficacy, numerical rating scale (NRS) score, quality of life (QoL) score, index of severity for osteoarthritis (ISOA) score, and related inflammatory factors were assessed and compared.Results: The study group outperformed the control group in terms of clinical efficacy. Significantly lower NRS scores were obtained in the study group at T2, T3, and T4 than those of the control group (p < 0.001). Before treatment, the two groups presented similar ISOA score, QoL score, and interleukin (IL)- 6 and tumor necrosis factor- α (TNF-α) levels. After treatment, ISOA score, and IL-6 and TNF-α levels declined in all patients, with lower results obtained in the study group. All patients obtained significantly higher Qol score after treatment, with higher outcomes observed in the study group.Conclusion: The combination of glucosamine hydrochloride and meloxicam effectively improves the joint function of patients with KOA and relieves symptoms such as joint swelling and pain. Hus, t treatment strategy has great promise.
Rebound Vibration of Two-Plates Bonded Model for an Internal Mirror of SLR Camera

In this study, the rebound vibration characteristics of the internal mirror of an SLR camera are investigated using experimental models. The mechanism of the mirror rebound phenomena is tested by using the two-rectangular-metal-plates model, which has two plates bonded by double-sided tape. The mirror (plates) model is supported by fixing its longitudinal edge on a horizontal rotatable shaft. The bonded-mirror-model swings down freely around a horizontal axis and hits a stopper. A laser displacement meter is used to measures the amount of rebound and the mirror model vibration behavior. The rebound angle varies by the stopper position and the bonded position of the double-sided tape. In the case of a small rebound angle, the mirror part of the plate (upper side plate) vibrates with large amplitude, and its movement is measured by a 3-dimentional high-speed camera.
Assembly and Comparison of Ca. Neoehrlichia mikurensis Genomes

Ca. Neoehrlichia mikurensis is widely prevalent in I. ricinus across Europe and has been associated with human disease. However, diagnostic modalities are limited, and much is still unknown about its biology. Here, we present the first complete Ca. Neoehrlichia mikurensis genomes directly derived from wildlife reservoir host tissues, using both long- and short-read sequencing technologies. This pragmatic approach provides an alternative to obtaining sufficient material from clinical cases, a difficult task for emerging infectious diseases, and to expensive and challenging bacterial isolation and culture methods. Both genomes exhibit a larger chromosome than the currently available Ca. Neoehrlichia mikurensis genomes and expand the ability to find new targets for the development of supportive laboratory diagnostics in the future. Moreover, this method could be utilized for other tick-borne pathogens that are difficult to culture.
Supply chain integration and green innovation, the role of environmental uncertainty: Evidence from Jordan

Prior research in several industries, particularly manufacturing industries, has confirmed the use of supply chain integration (SCI) to achieve green innovation (GI). Despite this, there has been very little research into the effects of SCI on the GI of manufacturing businesses. As a result, the current study was carried out to close this gap in the literature. Data from 231 manufacturing businesses in Jordan was used to validate a framework of several hypotheses about the relationships involving SCI and GI. SCI (customer integration (CI) and supplier integration (SI) have beneficial benefits on the green product and process innovation (GPDI & GPRI), according to the results of structural equation modeling. SI's effects on green products and process innovation are moderated by environmental unpredictability. The effects of CI on green product innovation are being moderated by environmental unpredictability. Environmental uncertainty, on the other hand, does not moderate the impacts of CI on green process innovation. This research adds to our knowledge of the SCI-GI link.
Effect of exercise on anxiety and depression of college students

The purpose of this study was to investigate the effect of exercise on anxiety and depression of college students. A subject this study 90 untrained male and female college students were randomly selected from Rajarshi Shahu College Pathri, Dist. Aurangabad (Maharashtra), India for the present study. The subjects were randomly assigned in equal two groups (control group (N=45) and intervention group (N=45). Intervention group (30 male and 15 female students) participated in a 12 week physical fitness programme with a frequency of 3 session per week and 60 minutes per session but control group did not participated in any physical activity. The average age of students in the intervention and control groups was 20.47 and 21.19 years respectively. Data were collected from students using a Self-rating Depression Scale (SDS) for depression, it consists of twenty items and Self-rating Anxiety Scale (SAS) was used for test to anxiety. The t-test was used to test the effect of anxiety and depression level between intervention and control group. The significance level was determined as p<0.05. The result of the study reveals that there was significant difference in 0.05 levels effect of exercise on anxiety and depression among the college students.
The Effect of Three Good Things Technique on Self-Leadership to Nursing Students

Background: Every nursing student must develop self-leadership skills. It has been proven that nursing students who score high in self-leadership would have better performance and self-efficacy. The Three Good Things intervention is a potential strategy for enhancing self-leadership. Aim: The aimed of the research was to identify the effect of the three nice things technique on nursing students' self-leadership. Method: This research is a quantitative study using a Quasi-Experimental design with Two Group Pre and Post-test, involving 60 nursing students as respondents. Data collection with the RSLQ questionnaire (Revised Self-Leadership Questionnaire) and data analysis using Paired Sample ANCOVA and T-Test Results: This study showed the picture of low self-leadership before intervention both in the control and intervention groups. Then after the intervention, the self-leadership was still low in the control group, while the intervention group showed a high self-leadership, then there was a significant difference in self-leadership between before and after the intervention in the intervention group with a p-value of 0.000 (p<0.05). There was no significant difference between the control before and after the intervention with a p-value of 0.335 (p>0.05). And the three good things intervention proved to have an effect on self-leadership in nursing students (p-value of 0.000). Conclusion: This study showed an effect of providing three good things interventions on self-leadership in nursing students. This research is expected for the institution to conduct training or workshops on self-leadership in maintaining the consistency of student self-leadership in the institution.