Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced conceptual understanding, 21st century skills and learning attitudes through an open inquiry learning model in Physics

The study is grounded in the fact that in Southeast Asia, there are few studies on the effects of authentic, inquiry-based learning, or instruction in the field of Science education. This study investigated the effects of the open inquiry learning model in Physics on the concept and 21st century skill attainment, and learning attitudes of grade 12 students of a state university in the Philippines. The study involved a pre-test-posttest experimental design using quantitative approaches. Normalized Hake gain was used to determine the effectiveness of the open inquiry learning model in enhancing the concept attainment of students. Non-parametric test, particularly, Wilcoxon signed ranks test, determined the significant difference between the pre and post-test scores. Net shift in pre-test and post-test scores in Colorado Learning Attitude about Science Survey (CLASS) identified a shift in the learning attitudes of students. The difference between the pre-test and post-test scores of students was found to be significant (Z=-3.927, p=0.000<0.05; Z=-3.387, p=0.001<0.05). Students achieved high Hake gain (0.82). There was also a positive shift in the learning attitudes of students. Thus, the open inquiry learning model is effective in improving the conceptual understanding, 21st century skills, and learning attitudes of students. Because of its positive effects on students’ holistic learning, further promotion of this learning pedagogy is needed, especially in the Philippines setting. A series of professional development programs anchored on this learning pedagogy may be launched to train teachers and pre-service teachers.
Particle energy distributions and metastable atoms in transient low pressure interpulse microwave plasma

The electron energies and its distribution function are measured in non-equilibrium transient pulsed microwave plasmas in the interpulse regime using a retarding field electron energy analyzer. The plasmas are driven to different initial conditions by varying the electromagnetic (EM) wave pulse duration, peak power, or the wave frequency. Two cases of wave excitation are investigated: (i) short-pulse (pulse duration, tw ~ 1 μs), high-power (~60 kW) waves of 9.45 GHz and (ii) medium-pulse (tw ~ 20 μs), and moderate power waves of ~3 kW at 2.45 GHz. It is found that high-power, short-duration pulses lead to a significantly different electron energy probability function (EEPF) in the interpulse phase—a Maxwellian with a bump on the tail, although the average energy per pulse (~60 mJ) is maintained the same in the two modes of wave excitation. Electrons with energies >250 eV are found to exist in the discharge in the both cases. Another subset of experiments is performed to delineate the effect of the wave frequency and the peak power on EEPF. A traveling wave tube (TWT) amplifier based microwave source for generating pulsed plasma (tw = 230 μs) in a wide frequency range (6–18 GHz) is employed for this purpose. Further experiments on measurements of metastable density using optical emission spectroscopy and ion energy analyzer have been carried out. By tailoring the EEPF of the transient plasma and metastable densities, new applications in plasma processing, chemistry and biology can be realized in the interpulse phase of the discharge.
The Antihyperlipidemic Property of the Crude Methanolic Extract of Antigonon Leptopus Hook & Arn. (Polygonaceae) Leaves in Triton X-Induced Hyperlipidemic Male Sprague- Dawley Rats

Hyperlipidemia is a major factor that can promote atherosclerosis and atherosclerosis-related conditions. Cardiovascular disease (CVD) is the epidemic of modern civilization in which hyperlipidemia contributes significantly to its pathogenesis. This study aimed to investigate the antihyperlipidemic property of Antigonon leptopus leaves using the methanolic crude extract (ALME) in Triton-X-100 induced hyperlipidemic male Sprague-Dawley rats during seven-day treatment period. The efficacy of ALME 100, 200, 400mg/kg was compared to the standard simvastatin (10 mg/kg, p.o.) in Triton X-100-induced hyperlipidemic rats. Effect of ALME on serum lipid profile like Total Cholesterol (TC), Triglycerides (TG), Low-Density Lipoprotein-Cholesterol (LDL-C), Very Low-Density Lipoprotein-Cholesterol (VLDL-C) and High-Density Lipoprotein-Cholesterol (HDL) were estimated. The results demonstrated that the ALME has an antihyperlipidemic potential. Different doses of ALME significantly reduced the TC, TG, LDL-C, and VLDL-C in Triton X-100-induced hyperlipidemic rats (pvalue <0.05). The histopathological evaluation also revealed the positive effect of the plant extract, with ALME 100 mg/kg showing promising tissue-specific antihyperlipidemic effect.
Abstract. Gastrointestinal stromal tumors (GISTs) represent a spectrum of tumors characterized by variable behaviors and activating mutations in KIT proto‐oncogene, receptor tyrosine kinase (KIT) or platelet derived growth factor receptor

Gastrointestinal stromal tumors (GISTs) represent a spectrum of tumors characterized by variable behaviors and activating mutations in KIT proto‐oncogene, receptor tyrosine kinase (KIT) or platelet derived growth factor receptor α (PDGFRA) genes. However, whether genotype analysis should be regarded as a prognostic indicator remains unclear. In the present study, clinicopathological data and the mutation phenotypes of KIT and PDGFRA genes were assessed in a series of 302 patients with GISTs at a single center. Univariate and multivariate Cox regression analyses were performed to identify the clinicopathological and muta‐ tional factors associated with relapse‐free survival (RFS) in patients who had undergone complete primary GIST resec‐ tion. KIT and PDGFRA mutations were identified in 233 (77.2%) and 30 (9.9%) cases, respectively. The following clinicopathological parameters were significantly associated with a shorter RFS: Male, non‐gastric tumor origin, larger tumor size (>5 cm), high mitotic activity (>5/50 high‐power fields), necrosis and epithelioid morphology. Tumors at non‐gastric sites, with high National Institutes of Health risk classification, high World Health Organization (WHO) grade and KIT deletion involving codons 557/558/559 exhibited a significantly higher risk of progression. In the Cox regression model, KIT deletion involving codons 557/558/559, non‐gastric origin and high WHO grade were independent indicators of RFS. The adverse prognosis associated with KIT deletions involving codons 557/558/559 was also observed for gastric GISTs. Conversely, spindle morphology, KIT exon 11 substi‐ tution and PDGFRA exon 18 mutation were associated with a longer RFS and lower rate of relapse. Furthermore, the coexistence of KIT exon 11 deletion and exon 13 duplication was observed in one tumor, with adverse prognostic features. Heterogeneity affecting morphology, immunostaining and genotype was identified in 4 cases. In addition, the presence of succinate dehydrogenase‐deficient GIST was found in 5 cases (3.6%). In conclusion, the tumor genotype with regard to KIT and PDGFRA mutations exhibited prognostic significance for the risk of GIST progression and may be helpful for the optimization of tailored adjuvant therapy.
Quality and stability of meat obtained from broiler chickens fed diets containing tonic root (Mondia whitei) as supplement

Tonic root has been speculated to improve Libido and this could have effect on performance and carcass traits of the animal. Afifty-six days experiment was conducted to determine meat quality of Abor acre Strain of broiler chickens fed graded dietary inclusion of supplemental white ginger (Mondia whitei). One hundred and eighty, one day-old broiler chicks were assigned to five treatment groups with three replicates per group. Birds on treatment one were fed concentrate with no supplements, those on treatment two had concentrate + 0.5g Mondia whitei per kg feed, treatment three had concentrate + 1g Mondia whitei per kg feed; Treatment 4 had concentrate with 1.5g Mondia whitei per kg feed and treatment five had concentrate + 2g Mondia whitei per kg feed. At the end of the eight weeks feeding trial, three birds each from each replicate of five treatment groups were randomly selected, deprived of food for 12 hours prior to slaughtering. After the traditional slaughtering method, feather plucking and evisceration were done and breast muscles were excised from the carcasses for quality parameters evaluation. The results showed significance (P< 0.05) in some measured parameters such as colour, yellowness (b*) and Lightness (L*). Highest (P<0.05) triglyceride content of meat (145.33 mg/dL) was recorded in the meat of birds fed inclusion level at 0.5g/kg and the lowest value (91.67mg/dL) in the meat of birds fed inclusion level of 1g/kg. Breast muscles had the highest (P<0.05) pH score 6.72 at 1g/kg inclusion level and least value of 6.51 was in the control group. Dietary inclusion of Mondia whitei showed no significant (P>0.05) effect on cholesterol, high density lipoprotein (HDL) and low-density lipoprotein (LDL). Although superoxide dismutase (SOD) and water absorptive power were not significantly (P>0.05) influenced, cooking and refrigeration loss as well as thiobarbituric acid reactive substance (TBARS) in meat were significantly (P<0.05) lowest in birds fed 1g/kg dietary inclusion level of Mondia whitei. Some phytochemicals and overall sensory acceptability were statistically influenced by the dietary treatments.
Deciphering nutrient composition of beef for different indigenous meat preservation methods in central Uganda

Livestock farmers in the rural communities of Uganda depend largely on indigenous preservation techniques as means of minimizing post-harvest losses in beef value chain. The nutritional quality of animal source foods is priority world over. The objective of this study was to decipher nutrient composition of beef for the different indigenous meat preservation techniques in Uganda. A cross sectional study was conducted in Nakaseke, Nakasongola and Sembabule districts using experimental-survey approaches. In the field survey, 90 respondents were interviewed using participatory techniques. Laboratory analysis examined 57 preserved meat samples. The results revealed two indigenous meat preservation techniques; Non-salted smoking (63.3%) and salted smoking (36.7%), largely (60%) practiced by females. Meat preservation is more frequent in dry season (93.3%). The results also showed that non-salted smoked and salted smoked meat had average moisture, fat and protein content of 21%, 14%, 67%; and 11%, 13% and 62% respectively. The average of zinc, iron and calcium content for the non salted smoked meat; 1.636 mg, 2.738 mg and 0.237 mg respectively while salt smoked meat; 2.341 mg, 3.587 mg and 0.609 mg respectively. The variations in nutrient composition of non salted smoked and salted smoked meat was insignificant (p>0.05). The authors conclude that the nutritional composition of traditionally processed meat products is maintained, particularly with high content of protein, fat, zinc, and iron. The indigenous meat preservation methods should be promoted and up-scaled due to enhanced nutrients and their potential to reduce of post-harvest losses. Additionally, develop standard operating procedures to prevent variations in processes of preservation techniques to assure nutritional quality of products.
Ecohydrological travel times derived from in situ stable water isotope
measurements in trees during a semi–controlled pot experiment

Abstract. Recent advances in in situ measurement techniques for stable water isotopes offer new opportunities to improve the understanding of tree water uptake processes and ecohydrological travel times. In our semi–controlled experiment with 20–year–old trees of three different species (Pinus pinea, Alnus incana and Quercus suber) placed in large pots, we applied in situ probes for stable water isotope measurements to monitor the isotopic signatures of soil water and tree xylem before and after two deuterium labelled irrigations. Additional destructive sampling of soil and plant material complemented the in situ measurements and allowed for a comparison between destructive (cryogenic vacuum extraction and direct water vapour equilibration) and in situ isotope measurements. For the first labelling pulse, the tracer based travel time at a stem height of 15 cm was 0.7 days for all three tree species but at 150 cm height tracer based travel times ranged between 2.4 (for Alnus incana) and 3.3 days (for Quercus suber). The tracer based travel time from the root zone to 15 cm stem height was similar to the sap flow based travel times (i. e., for all trees 0.7 days). However, sap flow based travel times were 1.3 days (for Alnus incana) longer than tracer based travel times at 150 cm stem height. In terms of different between tree species, we found similar tracer movement in Pinus pinea and Alnus incanca while in Quercus suber tracer travel times were longer which is likely due to lower water uptake rates of Quercus suber. The comparison of destructive and in situ isotope measurement techniques suggests notable differences in the sampled water pools. In situ measurements of soil and xylem water were much more consistent between the three tree pots (on average standard deviations were by 8.4 ‰ smaller for δ2H and by 1.6 ‰ for δ18O for the in situ measurements) but also among the measurements from the same tree pot in comparison to the destructive methods (on average standard deviations were by 7.8 ‰ and 1.6 ‰ smaller for δ2H and δ18O, respectively). Our study demonstrates the potential of semi-controlled large scale pot experiments and high-frequent in situ isotope measurements for monitoring tree water uptake and ecohydrological travel times. It also shows that differences in sampling techniques or sensor types need to be considered, when comparing results of different studies and within one study using different methods.
Application of polymer in biomedical implication

Polymers are serving the mankind in various ways since long. Over the previous number of years, these polymers have found great demand in various domains. These materials are intensively studied over the years for a various range of applications Polymeric materials have found notable applications within the sphere of biomedical. This might ensue to their useful properties, such as: easy processing, lightweight and suppleness, high strength to weight, availability and recyclability. Polymeric materials also are able to alter their chemical or physical properties upon exposure to external stimuli. Thanks to these properties, they're widely applied for biomedical applications like drug delivery, tissue engineering scaffolds, wound dressings, and antibacterial coatings.
USING DIFFUSION OF INNOVATION THEORY TO IMPLEMENT ELECTRONIC HEALTH RECORDS FRAMEWORK IN AFGHANISTAN

In an environment of widespread demand in the healthcare system for the provision of equitable, achievable and safe healthcare, the use of information communication technology (ICT) is individual of the identified solutions to meet such expectations. The Electronic Health Record (EHR) is a main instrument towards achieving well healthcare using such technology, although, across the world EHR implementation has experienced a great failure rate. The aim of this research is to move from paper-based health record to some electronic health record. For achieving this aim, the researcher used diffusion of innovation theory.
Comparing dexmedetomidine and propofol for sedation and hemodynamic stability in cardio-thoracic intensive care unit for patients following off-pump coronary artery bypass graft surgery

Background: Most patients in intensive care unit (ICU) require both sedation and analgesia to encourage natural sleep, facilitate assisted ventilation and modulate physiologic response to stress. The ideal sedative after Coronary artery bypass grafting (CABG) should have rapid onset, immediate resolution of both pain and anxiety, promote cardiac and respiratory stability, maintain a reusability during sedation, allow rapid recovery after discontinuation, and attenuate the cardiovascular, neuroendocrine, and inflammatory response. All these properties may improve outcome in cardiac patients after CABG. Methods: Setting-cardiac ICU. A prospective, randomised, single blind study including 60 patients divided into 2 groups. Data collection tools-study proforma and Ramsay sedation scale (RSS). Data analysed using science and statistical packaged (SPSS) version 20, independent sample `t` test, chi-square test, analysis of variance (ANOVA) and p value ≤0.05 was considered statistically significant. Results: Sedation levels and length of stay of patients on ventilator were comparable in both groups, however, analgesic requirement was significantly less in dexmedetomidine group. Dexmedetomidine group showed significantly lower heart rates compared to propofol group. Conclusions: Dexmedetomidine and propofol are safe sedative agents during mechanical ventilation in ICU for patients undergoing off pump coronary artery bypass (OPCAB). There is more than 50% reduction in analgesic requirement and a significant reduction in heart rate in dexmedetomidine sedated patients.
DETECTION AND CLASSIFICATION OF BRAIN TUMOR USING DEEP LEARNING

: Brain tumor, it has become common disease these days. The group of abnormal cells is formed by the uncontrollable division of cells in the human brain. The medical images play an effective role for diagnosis by specialists for the treatment. Using intelligent algorithms, the brain tumor identification makes easier for specialists to easily identify the bruise of clinical images. The incorporated calculations used to contemplate the clinical pictures. With clinical pictures include extraction, immense measure of data is dissected to draw out the preparing result, for making the expert increasingly precise in analysis. In see with the undertaking it takes tumor clinical pictures as the significant item, and to perform neighborhood double example include extraction of tumor picture invariance. At the point when the picture turns and poops change, the images are completely related to the coordinate system. This analysis can be precisely describing the appearance of simplistic layers of the tumor, by magnify the validity of the image area explanation. Convolutional Neural Network (CNN) is the main ideal framework to build the feature extraction of the tumor. To see beyond human vision and machine view limitation the project explains the feature extraction with multi-channel input CNN for images of the MRI. In this project the Convolutional Neural Network algorithm can be seen with numerous other traditional calculations in nearby binary mode. With huge measure of information the MRI images furnishes precision in the CNN calculations with highlight extraction of tumor images.
Deep Learning Approach for Face Recognition with Disguise Variations By

With the increased interest in face recognition across different applications, the research in this area has flourished over the past few decades. However, face recognition with disguise variations has gained little attention. Faces in unconstrained settings with disguise as an additional covariate makes this problem challenging. It includes alterations in facial appearance using disguise accessories. In this thesis, we propose deep learning based transfer learning approach to handle the problem of disguise, with the network being fine-tuned on the proposed loss function termed as “Disguised Loss”. We have evaluated our network on Disguised Faces in Wild (DFW) 2018 dataset [1] where the proposed algorithm is able to produce competitive results. We have also introduced a new dataset termed as “DFW2019” which is an extension of DFW2018 dataset [1]. Apart from the addition of 250 subjects with 3140 images, 250 plastic surgery image pairs and 100 bridal image pairs have also been added. Additional protocols for plastic surgery face recognition have also been introduced. We have presented baselines for all the protocols along with the results of the proposed approach.
PNS1000387 1..9

Dietary reference values for essential trace elements are designed to meet requirements with minimal risk of deficiency and toxicity. Risk–benefit analysis requires data on habitual dietary intakes, an estimate of variation and effects of deficiency and excess on health. For some nutrients, the range between the upper and lower limits may be extremely narrow and even overlap, which creates difficulties when setting safety margins. A new approach for estimating optimal intakes, taking into account several health biomarkers, has been developed and applied to selenium, but at present there are insufficient data to extend this technique to other micronutrients. The existing methods for deriving reference values for Cu and Fe are described. For Cu, there are no sensitive biomarkers of status or health relating to marginal deficiency or toxicity, despite the well-characterised genetic disorders of Menkes and Wilson’s disease which, if untreated, lead to lethal deficiency and overload, respectively. For Fe, the wide variation in bioavailability confounds the relationship between intake and status and complicates risk–benefit analysis. As with Cu, health effects associated with deficiency or toxicity are not easy to quantify, therefore status is the most accessible variable for risk–benefit analysis. Serum ferritin reflects Fe stores but is affected by infection/inflammation, and therefore additional biomarkers are generally employed to measure and assess Fe status. Characterising the relationship between health and dietary intake is problematic for both these trace elements due to the confounding effects of bioavailability, inadequate biomarkers of status and a lack of sensitive and specific biomarkers for health outcomes.
S003329171800034Xjra 2717..2729

Background. Neuropsychological deficits are present across various cognitive domains in major depressive disorder (MDD). However, a consistent and specific profile of neuropsychological abnormalities has not yet been established. Methods. We assessed cognition in 170 patients with non-psychotic MDD using the Brief Assessment of Cognition in Schizophrenia and the scores were compared with those of 42 patients with schizophrenia as a reference for severity of cognitive impairment. Hierarchical cluster analysis was conducted to determine whether there are discrete neurocognitive subgroups in MDD. We then compared the subgroups in terms of several clinical factors and social functioning. Results. Three distinct neurocognitive subgroups were found: (1) a mild impairment subgroup with near-normative performance and mild dysfunction in motor speed; (2) a selective impairment subgroup, which exhibited preserved working memory and executive function, but moderate to severe deficits in verbal memory, motor speed, verbal fluency, and attention/information processing speed; and (3) a global impairment subgroup with moderate to severe deficits across all neurocognitive domains, comparable with deficits in schizophrenia. The global impairment subgroup was characterized by lower pre-morbid intelligence quotient (IQ). Moreover, a significant difference between groups was observed in premorbid IQ ( p = 0.003), antidepressant dose ( p = 0.043), antipsychotic dose ( p = 0.013), or anxiolytic dose ( p < 0.001). Conclusions. These results suggest the presence of multiple neurocognitive subgroups in nonpsychotic MDD with unique profiles, one of which exhibits deficits comparable to those of schizophrenia. The results of the present study may help guide future efforts to target these disabling symptoms using different treatments.