Miracle-dz/UniFAR-FTUs huggingface dataset:
PROCESSING IN THE QUALITY OF TANZANIA GRASS SEEDS

The available research concerning the processing of grass seeds is scarce, despite its fundamental importance for national and international agribusiness. The objective of this project was to evaluate the effects of processing phases on the physical and physiological quality of tanzania grass seeds for commercialization purposes. Seeds were sampled before processing and after leaving the air and screen machine (upper and intermediate screens and bottom); first gravity table (drift, upper and intermediate spouts); treating machine; second gravity table (upper, intermediate, and lower spouts). Seeds were evaluated as to water content, physical quality (purity and 1,000 seeds weight) and physiological (germination, first count of germination, seedling vigor rating, seedlings length of primary roots and shoots, seedling emergence in the field, and emergence speed index). The processing of Tanzania grass seeds in the air screen cleaner machine and gravity table are efficient to improve the physical quality of the lot. The seed treatment with dye ink reduces the seedlings emergence speed in the field. The processing is not required to meet the national commercialization standards of the Tanzania grass seeds, but for the international.
An alternative

Background: B‐cell precursor acute lymphoblastic leukemia (BCP‐ALL) is a genetically heterogenous malignancy with poor prognosis in relapsed adult patients. The genetic basis for relapse in aneuploid subtypes such as near haploid (NH) and high hyperdiploid (HeH) BCP‐ALL is only poorly understood. Pathogenic genetic alterations remain to be identified. To this end, we investigated the dynamics of genetic alterations in a matched initial diagnosis‐relapse (ID‐REL) BCP‐ALL cohort. Here, we firstly report the identification of the novel genetic alteration CYB5Aalt, an alterna‐ tive transcript of CYB5A, in two independent cohorts. Methods: We identified CYB5alt in the RNAseq‐analysis of a matched ID‐REL BCP‐ALL cohort with 50 patients and quantified its expression in various molecular BCP‐ALL subtypes. Findings were validated in an independent cohort of 140 first diagnosis samples from adult BCP‐ALL patients. Derived from patient material, the alternative open reading frame of CYB5Aalt was cloned (pCYB5Aalt) and pCYB5Aalt or the empty vector were stably overexpressed in NALM‐6 cells. RNA sequencing was performed of pCYB5Aalt clones and empty vector controls followed by differential expres‐ sion analysis, gene set enrichment analysis and complementing cell death and viability assays to determine functional implications of CYB5Aalt. Results: RNAseq data analysis revealed non‐canonical exon usage of CYB5Aalt starting from a previously undescribed transcription start site. CYB5Aalt expression was increased in relapsed BCP‐ALL and its occurrence was specific towards the shared gene expression cluster of NH and HeH BCP‐ALL in independent cohorts. Overexpression of pCYB5Aalt in NALM‐6 cells induced a distinct transcriptional program compared to empty vector controls with downregulation of pathways related to reported functions of CYB5A wildtype. Interestingly, CYB5A wildtype expression was decreased in CYB5Aalt samples in silico and in vitro. Additionally, pCYB5Aalt NALM‐6 elicited a more resistant drug response. Conclusions: Across all age groups, CYB5Aalt was the most frequent secondary genetic event in relapsed NH and HeH BCP‐ALL. In addition to its high subgroup specificity, CYB5Aalt is a novel candidate to be potentially implicated in therapy resistance in NH and HeH BCP‐ALL. This is underlined by overexpressing CYB5Aalt providing first evidence for a functional role in BCL2‐mediated apoptosis.
Uncertainty, Heterogeneous Beliefs, and Business Cycles: Macro and Micro Evidence

This paper provides evidence both at the aggregate and the micro level to demonstrate that the survey-based forecast dispersion helps identify a diﬀerent type of second moment shocks, i.e. the “informational disagreement shocks”. Innovations that enlarge the variability of ﬁrms’ beliefs, regardless of whether beliefs are backed by economic fundamentals, lead to persistent declines in the macro aggregates with a sluggish recovery by freezing the capital reallocation between ﬁrms. Conversely, increases in the variance of ﬁrms’ future productivity trigger the classic “wait and see” eﬀect of standard uncertainty shocks. A quick rebound and even overshoot follow a short-run contraction. It implies that the recession and a slow recovery can be a result of second moment shocks to non-fundamentals only.
Role of Early Enteral Nutrition in Mechanically Ventilated COVID-19 Patients

OBJECTIVES: Current guidance recommends initiation of early enteral nutrition (early EN) within 24–36 hours of ICU admission in critically ill COVID-19 patients. Despite this recommendation, there is quite limited evidence describing the effect of early EN on outcomes in COVID-19 patients. The association between early EN (within 3 d post intubation) and clinical outcomes in adult COVID-19 patients requiring mechanical ventilation (within 2 d post ICU admission) was evaluated. DESIGN: We performed a nationwide observational cohort study using a nationwide administrative-financial database (Premier) in United States. SETTING: Information pertaining to all COVID-19 patients admitted to ICU from 75 hospitals between April and December 2020 was analyzed. PATIENTS: A total of 861 COVID-19 patients were included. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Clinical outcomes were assessed via regression models to control for patient and hospital characteristics. We identified 513 COVID-19 ICU patients (59.2%) requiring mechanical ventilation who received early EN and had similar baseline characteristics to late EN group. Compared with late EN group, the early EN group had shorter ICU (hazard ratio [HR], 1.39; 95% CI, 1.15–1.68) and hospital length of stays (LOS) (HR, 1.53; 95% CI, 1.23–1.91), fewer mechanical ventilation days (HR, 1.25; 95% CI, 1.01–1.54), and lower cost (–$22,443; 95% CI, –$32,342 to –$12,534). All comparisons were statistically significant (p < 0.05). CONCLUSIONS: In patients with COVID-19 requiring mechanical ventilation, early EN is associated with earlier liberation from mechanical ventilation, shorter ICU and hospital LOS, and decreased cost. Our results are among the first to support guideline recommendations for initiation of early EN in COVID-19 ICU patients. Further, our data show nearly 40% of critically ill COVID-19 patients fail to have early EN initiated, even at 3 d post initiation of mechanical ventilation. These results emphasize the need for targeted strategies promoting initiation of early EN, as this may lead to improved clinical and economic outcomes in severe COVID-19 patients.
CFD SIMULATION FOR REDUCTION THROMBOSIS IN BILEAFLET MECHANICAL HEART VALVE USING VORTEX GENERATORS

Present study was done to investigate the performance of steady state flow through bileaflet mechanical heart valve (BMHV) with fixed fully open leaflet that equipped with vortex generator (VG) by using computational fluid dynamic (CFD) method. The VGs as a passive flow device that can improve the pressure gradient and reducing turbulent are investigated. For better understanding, the implications that VGs has on the blood flow through these valve, analysis of flow characteristic such as velocity and pressure drop was performed. The novelty of this study is to determine the performance of VGs configurations affect the computed velocity and pressure gradient associated with the development of the blood clotting. The laminar flow cases that computed mean velocity profile are done validate close to the experimental result. Results suggested that triangular VGs caused increase velocities and reduce pressure drop. The straight triangular VGs showed lower pressure drop and 5.3% improvement in pressure drop. percentage.
A switching ensemble approach for remaining useful life estimation of electrolytic capacitors

We consider the problem of predicting an equipment Remaining Useful Life (RUL), based on data from a fleet of similar components working under different operating conditions. Two data-driven prognostics models are considered, an Homogeneous Discrete-Time Finite-State Semi-Markov Model (HDTFSSMM) and a Fuzzy Similarity-Based (FSB) model. The predictions from the two models are ensembled with a switching approach that selects the most accurate model at each stage of the equipment life to guarantee the best performance throughout the degradation progression. A real case study is worked out, regarding a fleet of aluminum electrolytic capacitors used in electric vehicles powertrains. In this specific case, the HDTFSSMM is selected at the early stages of the equipment degradation and the FSB model at the last stages of life. Results are compared with those achieved by each individual model, showing that the proposed ensemble approach is able to provide more accurate RUL predictions throughout the entire equipment life.
Development Blended Web Mobile Learning Model on COVID-19 Pandemic

Education Design Research (EDR) focuses on producing a Blended Web Mobile Learning (BWML) to increase the students' HOTs of senior high school. The BWML model in each phase is supported by using the MoLearn application (web and mobile version). The results indicate that the BWML model is proven to be valid, practical and effective in improving HOTs of senior high school students. Research implication such as: (1) The BWML model can be used as an alternative to digital-based learning, (2) The BWML model can be a reference for developing a hybrid learning model in COVID-19 pandemic, (3) The research result can be used as empirical data that web and mobile integration in learning has proven successful.
STATISTICAL MOVEMENT MODELING FOR SKILL ENCODING AND ANALYSIS THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIRMENETS FOR THE M.Sc. DEGREE

Data-driven stochastic movement modeling offers a powerful method for both movement analysis and skill generation. Such models facilitate integration of time, space, and variability into a single coherent representation. The model utility can be enhanced by adapting the space within which it is generated, e.g., the model can be generated in the original space or in a latent space found using dimensionality reduction methods. Within the current thesis we fit two dimensional, spatio-temporal, Gaussian mixture models to sets of repetitive human motions. We apply the modeling method to motion analysis in patients with stroke and to enhancing robotic motion learning efficiency. For analysis of motion in patients with stroke, we fit the model in the original motion space, to reach-to-grasp motion of patients with stroke and control subjects. A suitable goodness of fit measure, the symmetric Kullback-Liebler Divergence, was used for measuring model similarity between patients with stroke and the control group. The similarity is used to assess the effect of spasticity on motion kinematics. The similarity of elbow extension motion between patients with stroke and control subjects was found to be related to the Biceps modified Ashworth scale (which is a commonly used measure of spasticity). Moreover, the similarity was higher for a target positioned closer to the subject, as expected for patients with spasticity, which have a limited muscle control zone. This is the first study to relate kinematic aspects of movement disorders to spasticity. For robotic motor skill generation, the model was developed in a latent space and was combined with Gaussian mixture regression and Reinforcement Learning to facilitate efficient motion adaptation to task variations, based on the method of Zhang, Zhang and Parker (2015). For enhancing the efficiency of the method, we suggest dynamically changing the search space during run-time and using an adaptive probability for a random action, along with expending the action space based on the feature contribution to the latent space. The method was applied to teach a RV-2F-1D Mitsubishi industrial robot to perform a reach-to-grasp task and facilitate adaptation to different goal locations. The suggested method required less iterations to adapt to new goals when compared to the original method. physical learned trajectories general ST-GMM with PbD and RL for robot learning both RL algorithms tested for reach-to-grasp task on industrial robot, yet the suggested dynamically expending action space is
The Study Bending Performance of Concrete Beam Using Bamboo Reinforcement and Fibres

: The development of research on concrete used natural fibers has been conducted by many previous researchers. Where the fiber added to the concrete mix significantly increases the tensile strength of the concrete. In this study, natural fiber namely bamboo fiber, was used as micro reinforcement to strengthen the tensle strength of concrete. This study was conducted to determine how much strength bamboo is as the reinforcement as compared to steel reinforcement applied to high-performance concrete beams. It had expected that bamboo could be used as an alternative reiforcement to replace steel reinforcement in reinforced concrete bems. The study used four of beam specimen with dimension 150 × 300 × 2200 mm. The strength of Concrete is 60 Mega Pascal. The steel of tensile using four steel bars D16, while the steel of shear using two D12, and bamboo reinforced used 10 x 21 mm. The results shows maximum Deformation in concrete beams (HSC-SR) is 18.470 mm with the maximum loading 254.97 Kilonewtons, with ductility value is 1.713. The beams (HSC-SRBF) obtained Deformation10.260 mm at maximum load 264.78 Kilonewtons, and ductility is 1.832 mm. While the bamboo reinforced concrete beams (HSC-BR) obtained the maximum load is 106.89 Kilonewtons with Deformation is 28.700 mm, and ductility is 1.322, compare to beams (HSC-BRBF) obtained Deformation 24.440 mm at maximum load 158.87 Kilonewtons, with ductility is 1.162. The results give value of capacity beams for (HSC-BR) is 1.104, (HSC-SRBF) is 1.422, (HSC-SR) is 1.331 and (HSC-BRBF) is 0.877. In the beams (HSC-BRBF) use bamboo reinforced give the maximum load 158.87 Kilonewtons compare to (HSC-SRBF) have maximum load 254.97 KN.
MYLPHerb-1: A Dataset of Malaysian Local Perennial Herbs for the Study of Plant Images Classification under Uncontrolled Environment

Research in the medicinal plants’ recognition field has received great attention due to the need of producing a reliable and accurate system that can recognise medicinal plants under various imaging conditions. Nevertheless, the standard medicinal plant datasets publicly available for research are very limited. This paper proposes a dataset consisting of 34200 images of twelve different high medicinal value local perennial herbs in Malaysia. The images were captured under various imaging conditions, such as different scales, illuminations, and angles. It will enable larger interclass and intraclass variability, creating abundant opportunities for new findings in leaf classification. The complexity of the dataset is investigated through automatic classification using several high-performance deep learning algorithms. The experiment results showed that the dataset creates more opportunities for advanced classification research due to the complexity of the images. The dataset can be accessed through https://www.mylpherbs. com/.
Freshman Retention In Engineering Technology Programs At Rochester Institute Of Technology

This paper describes how the freshman seminar movement has been implemented at Rochester Institute of Technology (RIT) . All seven engineering technology programs at RIT have had a required freshman seminar course in their curriculums for the past five years. Course staffing and typical session topics in these courses are described. Freshman attrition in engineering technology programs at RIT has improved from 21% in 1991 to 12% in 1994
Browning inhibition of fresh-cut apple by coating carrageenan/ascorbic acid/
ZnO nanoparticles

In this study, a nanocomposite coating method was applied to inhibit the browning kinetics of apple “Malang”, an Indonesian local commodity that is extensively produced in the Batu city area. Fresh-cut apple was coated with carrageenan in combination with ascorbic acid (1% by weight of carrageenan) and zinc oxide (ZnO) nanoparticles (0, 1% by weight of carrageenan) as filler. The results revealed that all composite materials were completely blended and confirmed by Fourier-transform infrared (FTIR). Scanning electron microscopy (SEM) exhibited that ZnO was successfully trapped by the carrageenan matrix. Notably, no differences in overall liking between uncoated and coated fruit were observed. The lower browning index (BI) rate in the nanocomposite coated fruit confirms its effectiveness in maintaining the visual appearance of fresh-cut apples.
Comparison of Gonial Angle and Alveolar Bone Height Changes in Panoramic and Lateral Cephalometry Radiography in Growing Patients

Background: This study aimed to compare the gonial angle and alveolar bone height changes between panoramic and lateral cephalometry radiographic images in class II malocclusion patients before and after orthodontic treatment. Methods: The obtained radiographic images were selected from among 120 class 2 malocclusion cases. The gonial angle and alveolar bone height were measured in the midline and molar regions of panoramic and lateral cephalometric radiographs using the software tools before and after the treatment of patients. Study data were analyzed by SPSS statistical software (version 21.0), and a significance level was set to 0.05 for all statistical tests. Results: Based on the results, no significant difference was found regarding the gonial angle before and after treatment on the right and left sides in panoramic radiography and the gonial angle changes before and after treatment in cephalometric radiography (P>0.05). However, the obtained results for posterior and anterior alveolar ridge height were significant in panoramic and cephalometric radiographs (P<0.05). Moreover, the comparison of the measured gonial angle values before treatment in panoramic and cephalometric radiography represented a significant level (P<0.05). Eventually, the statistical results suggested that the alveolar bone height differences between panoramic and cephalometry radiography were significantly different in both anterior and posterior regions after treatment (P<0.05). Conclusions: The findings indicated that only measurements obtained from the panoramic radiography were valid for the gonial angle. However, panoramic and cephalometry radiography procedures cannot be replaced for assessing the anterior and posterior alveolar bone height.
SARS COV-2 and Inflammation: Its Impact on the Cardiovascular System

The novel corona virus is identified as a positive–sense single–stranded RNA virus and member of the coronavirus family. The virus is thought to have originated from Wuhan, China, and acquired the ability of human–to–human transmission. Although most patients with SARS–CoV–2 (previously known as “2019 novel coronavirus”) manifest fever and respiratory tract symptoms. SARS–CoV–2 infection may also involve other organs/systems and present with extra–respiratory manifestations including cardiac, gastrointestinal, hepatic, renal, neurological, olfactory, gustatory, ocular, cutaneous and hematological symptoms. The severe risk factors are commonly detected in elder patients and with medical comorbidities like cancer, hypertension and diabetes. Since the outbreak The involvement of different organs of the body is explained based on the presence of ACE–2 (angiotensin– converting enzyme 2) in different tissues and cells. Several extra–respiratory manifestations, such as cardiac involvement, acute kidney injury, coagulation disorders, and thrombotic complications, could be associated with a poor prognosis. This review provides a comprehensive presentation of the pathophysiological effects of SARS–CoV– 2 infection on different organs of the body such as CVS (cardiovascular system), CNS (central nervous system), GIT (gastrointestinal tract), Skin, Renal, and Blood.
Investigating the mediating effects of phubbing on self-presentation and FoMO within the context of excessive Instagram use

Abstract Social media platforms can deliver benefits for their users. They help people to stay in touch with each other and to have control over how they present themselves to their contacts on these platforms. In some cases, these benefits lead to excessive usage, which can diminish individual wellbeing, and compromise relationships with significant others. We surveyed 275 respondents to investigate the influence of and interactions between (1) self-presentation (specifically false self-presentation), (2) FoMO (fear of missing out), and (3) phubbing (ignoring someone by diverting attention to a mobile phone) in the context of excessive Instagram use. We found that phubbing mediates the relationship between false self-presentation and excessive Instagram use but did not find evidence that phubbing mediates the relationship between FoMO and excessive Instagram use. We also found a positive relationship between excessive Instagram use and educational level. We conclude with a discussion on the theoretical and practical implications of the results.
Evaluation of Specific Bacteriophage Against Salmonella infantis and Its Antibacterial Effects Compared to Ciprofloxacin in In Vitro Conditions

10.30699/jambs.30. 139.154 Background & Objective: Phage therapy could be used as an alternative method to antibiotic treatments. The purpose of this study was to evaluate the antibacterial activities of isolated lytic bacteriophage against ciprofloxacin-resistant strain of Salmonella infanits in vitro conditions. Materials & Methods: The standard strain of Salmonella infantis and its specific bacteriophage was isolated by soft agar method. Phage susceptibility to heat and pH was evaluated by the Double-Layer Agar method. In vitro assay was carried out on human epithelial type 2 (HEp-2) cells to investigate the effect of bacteriophage on the cytotoxic and invasion of Salmonella infantis to human epithelial cells. Results: Head and tail morphology of bacteriophages against Salmonella infantis were identified by transmission electron microscopy and assigned to the Myoviridae family. The results of the double-layer agar assay showed that the titer of bacteriophages was 1.8×10 7 PFU/ml. bacteriophage was stable at 4 ֯C and the best quantification of bacteriophage was determined at pH=8. The isolated bacteriophage was specific for Salmonella infantis and had no lytic activity against other pathogenic bacteria. In the evaluation of the binding and invasion of Salmonella infantis to the HEp-2 cell line, as expected, the lytic activity of specific bacteriophage was observed following inoculation. Conclusion: Additional studies are needed for better understanding of the interaction between phage, microorganisms and human host before applying phage therapy on a large scale. of isolated bacteriophages in salmonellosis-induced Salmonella enteritidis mice (30) . In this study, isolated bacteriophage was evaluated to determine the specific host and sensitivity of various bacteria to it. Serotype Infection of Salmonella bacteria to a specific bacteriophage itself showed a complete sensitivity to the results of the Spot test and the other pathogens studied did not show a sensitivity to this isolated bacteriophage (31,32) These indicated the specificity of this therapeutic That is consistent the isolation of E. coli bacteriophage from and determining its specific host (14)