Miracle-dz/UniFAR-FTUs huggingface dataset:
Mitigating False Positives in Filters: to Adapt or to Cache?

A ﬁlter is adaptive if it achieves a false positive rate of ε on each query independently of the answers to previous queries. Many popular ﬁlters such as Bloom ﬁlters are not adaptive—an adversary could repeat a false-positive query many times to drive the false-positive rate to 1 . Bender et al. [4] formalized the deﬁnition of adaptivity and gave a provably adaptive ﬁlter, the broom ﬁlter. Mitzenmacher et al. [20] gave a ﬁlter that achieves a lower empirical false-positive rate by exploiting repetitions. We prove that an adaptive ﬁlter has a lower false-positive rate when the adversary is stochastic. Speciﬁcally, we analyze the broom ﬁlter against queries drawn from a Zipﬁan distribution. We validate our analysis empirically by showing that the broom ﬁlter achieves a low false-positive rate on both network traces and synthetic datasets, even when compared to a regular ﬁlter augmented with a cache for storing frequently queried items.
IMMUNOHISTOPATHOLOGICAL AND IMMUNOLOGICAL EVALUATION OF LISTERIA NANOPARTICLE VACCINE DURING THE FIRST AND THIRD SEMESTER IN THE PREGNANCY RAT MODEL

Listeriosis considers one of the important health hazards is a foodborne disease that associated with a high percentage of morbidity and mortality, caused by L. monocytogenes, affect different species of animal pregnant and non-pregnant, the bacteria can reach to the placenta and cause many pathological conditions like fetal resorption, stillbirth, healthy offspring, development of novel vaccine give protection against this disease during pregnancy trimesters necessary to maintains fetal and animal intact. Uses of (Al2O3: Ag) nanoparticles with KWSLAgs as an adjuvant to eliminate the bacteria and strengthens the immune system (innate and adaptive) response by activation the APCs to produce cytokine, in turn, these inflammatory and proinflammatory cytokines activate cellular immunity by production memory and target cell can protect during pregnancy. All these stages fallowing by IHC detection of bacterial in pregnancy rat and fetal tissue.
OPTIMIZATION OF SHOOT INITIATION USING RESPONSE SURFACE METHODOLOGY AND CALLUS MEDIA STANDARDIZATION FOR MICROPROPAGATION OF CENTELLA ASIATICA

Centella asiatica, a medicinal herb consumed as a food supplement and used in traditional and folklore medicine is being overexploited for its therapeutic properties. Lack of adequate cultivation and replacement practices could engender the depletion of the wild variety. Application of plant tissue culture has helped in the regeneration and preservation of several plants in-vitro. The present study reports media standardization for micropropagation and callus induction for the conservation of Centella asiatica using field-grown plants. In media standardization for callus induction, appreciable results were obtained where full strength MS (Murashige and Skoog) media was supplemented with 2 mg.L-1 IAA (Indole acetic acid) and a combination of 0.5 mg.L-1 Kn (Kinetin) with 1 mg.L-1 IAA while MS media supplemented with a combination of 0.5 mg.L-1 Kn and 1.5 mg.L-1 IAA was used for callus proliferation. Combination of BAP (6- Benzyl amino purine) and IAA from preliminary experimentation on micropropagation showed high shooting frequency and were further optimized with parameters such as sucrose and incubation period using Response surface methodology (RSM) to study their individual and interactive effects. A maximum shoot height of 3.8 cm was obtained from the optimized values after 13 days with both BAP and IAA at 0.5 mg.L-1 and sucrose at 6% with the R2 value at 0.73.
3 D Dynamic Measurement of Coronary Arteries from X-Ray Images

A method for measuring 3D shape and motion parameters based on two approximately orthogonal X-ray angiographic image sequences synchronized with superposed electrocardiogram (ECG) signals is presented. The 3D vessel axis at each time-point is firstly recovered from the projective image pair. Clinically important configuration parameters, including diameter and length, are then measured based on 3D axes and 2D detection. The displacement field between 3D axes at consecutive time-points is estimated through minimizing a cost function in point-by-point manner. The performance of the approach has been validated with phantom data, computer-simulated data and clinical data. For diameters of the phantom ranging from 3 mm to 5 mm, errors are lower than 0.05 mm. For lengths ranging from 15 mm to 90 mm, errors are no more than 2.5 mm. Root mean square (RMS) displacement amplitude errors are all smaller than 0.01 mm for different transformations in validations with simulated data. Illustrative results clinically validated in real X-ray images indicate its feasibility and reliability for quantitatively measuring and interpreting arterial vessels.
Intellectual Quotient and Social Cognition in Young Offenders: A Relational Analysis

Antisocial personality disorder (ASPD) showed a broad executive function, as well as visual short-term, working memory (WM), and attention deficits. The inhibitory control and WM deficits may distinguish ASPD from other personality disorders. People with ASPD structure have deficiencies in the maturation of the prefrontal cortex which is evident in various neurocognitive problems, mainly in WM and social cognition (SC). In Colombia there is a high incidence of ASPD in young offenders, which makes the process of rehabilitation and resocialization more difficult. The aim of this paper was to develop a structural equation model (SEM) to identify the relationship between SC and intellectual quotient (IQ) in offenders with ASPD and make a comparative analysis by gender. A representative sample of 120 offenders was used (60 men and 60 women) of a Specialized Attention Center (SAC) in Medellin, Colombia. This paper concludes that there is a higher correlation between SC and IQ in women offenders with ASPD (σxy = 0.62) than in male offenders with ASPD (σxy = 0.54). Epidemiologists suggest that women have a high prevalence of depressive and anxiety disorders, which can be explained by internalized behavioral management. In general, men show a higher prevalence of disorders associated with impulse control through externalizing behavioral management. This shows that ASPD has been studied more in men and that ASPD profiles in women are lacking due to its low prevalence. Based on the results of the model developed, a neurocognitive profile of men and women with ASPD is presented.
HISTOLOGICAL AND HISTOMORPHOMETRICAL POSTNATAL DEVELOPMENTAL STUDY OF ADRENAL GLAND IN AWASSI SHEEP (OVIS ARIS)

The present study was designed to identify the histological structures of adrenal gland in postnatal ages, which divided into five ages (one day, one month, two month, six month and two years). The adrenal glands were collected from AL-Nijaf and Hilla slaughter house and prepared for histomorphological study. Paraffin sections for all samples were fixed in 10% neutral buffered formalin for histological purposes and using routine (Harries Hematoxylin and Eosin, Periodic acid Schiff (PAS) and Massons Trichrome Staining) for histological components. The adrenal glands were a pair of compound, flattened endocrine organs located in the retroperitoneal tissue along the medial cranial poles of the kidneys. The color of the glands were red – brown. Histologically, adrenal gland showed cortex and medulla enclosed by clear capsule. The cortex was includes (zona glomerulosa, zona fasciculate and zona reticularis). The present study has concluded that the size of the capsule and cortex increased with age progressed to increase in medulla thickness.
Semi-Supervised Task Construction for Meta-Training

Meta Learning, on a fundamental level, can be described as learning to optimize efficiently for new tasks. In the most common setup, there is a distribution of tasks (classification tasks in our case) and the meta learning algorithm learns from the train set of tasks in order to perform well on unseen tasks. This meta-training process is typically performed on a labeled dataset, however, recent work has shown that unlabeled datasets can also be useful for meta-training. CACTUs [3] uses unsupervised partitioning for task construction during meta-training. However, in many real world scenarios we also have access to some amount of labeled data for training, which is the motivation behind this work. We extend the setup proposed in CACTUs and change the problem to arrive at a better partitioning, using a small amount of labeled data. The contributions of this project are two-fold: first, we formally define the problem with two variants: ​ Disjoint and ​ Superset ​ . These two variants relate to the overlap between the underlying classes of the unlabeled and labeled data. The ​ Disjoint ​ variant is inspired by the scenario where we have labeled data for a given set of classes and unlabeled data for classes outside of the labeled distribution. The ​ Superset ​ variant considers a problem where we label a subset of the overall dataset. This will also be relevant in an Active Learning setup, which we consider. Second, we propose multiple directions for tackling this problem, and we perform insightful studies along those directions. Our first approach merges the labeled tasks with the clusters obtained from the unlabeled data during training. We show that only 10% labeled data results in a significant boost in test performance. We also study the performance over more levels of label coverage. For the second approach, we hold out labeled tasks for validation. We perform a study over the number of clusters and show a consistent trend of increasing test performance. The first two approaches work well under the ​ Disjoint assumption. For the third direction, we propose seeding the cluster centroids based on the labeled data. We experiment with different ideas, however, we see a consistent drop in performance with these approaches - which makes
Experimenting with an Interdisciplinary Approach for Sustainability Education in secondary schools: The case of D.Game, YOUth play the future

Teachers and educators hold the key to the development of future generations. With the right knowledge and competencies, they can become powerful agents of change who can unlock the potential of young people and deliver the educational response needed to achieve the sustainability transition (Rieckmann, 2017). Research has shown that teachers’ beliefs have important impacts on students’ perspectives and that teachers often align teaching strategies with their own knowledge and beliefs (Duschl, 1990; Waters‐Adams, 2006). Their competencies are therefore essential for restructuring educational processes and educational institutions towards sustainability.
A Bayesian Approach for Large Asset Allocation

The Black-Litterman model combines investor’s personal views with historical data and gives optimal portfolio weights. In (Andrei & Hsu, 2020), they reviewed the original Black-Litterman model and modified it in order to fit it into a Bayesian framework, when a certain number of assets is considered. They used the idea by (Leonard & Hsu, 1992) for a multivariate normal prior on the logarithm of the covariance matrix. When implemented and applied to a large number of assets such as all the S &P500 companies, they ran into memory allocation and running time issues. In this paper, we reduce the dimensions by considering Bayesian factor models, which solve the asset allocation problems for a large number of assets. In addition, we will conduct sensitivity analysis for the confidence levels that the investors have to input.
COMPARATIVE STUDY OF PHYSIOLOGICAL EFFECT OF LEMON JUICE AND AQUEOUS EXTRACT OF PUMPKIN FRUITS ON DIABETIC FEMALE MICE

This study was directed to a comparison study of physiological effect of lemon juice and aqueous extract of pumpkin fruits on diabetic female mice. Results Showed that body weight of G3, G4 and G5 groups were improved significantly (p<0.05) than G2 group. There is a significant (p<0.05) increase in RBCs and related values in G3, G4 and G5 groups in comparing with G2 group . While G5 group was significantly higher (p<0.05) in PCV values than G4 group. Results showed that G2 group was significantly (p<0.05) high in WBC, Monocytes, Granulocytes than all other groups. While, no significant (p<0.05) differences between all groups in Lymphocytes values. G3, G4 and G5 groups showed a remarkable (p<0.05) reduction of glucose, lipid proportions except in HDL level when compared to G2 group. In mice G3, G4 and G5 groups, also found a notable (p<0.05) reduction in AST, ALT, Creatinine and Urea results in contrast of G2 group. Key word: C. limon, Cucurbita maxima, Alloxan, Hematological parameters, Serum parameters.
POLYPHASIC EVALUATION OF CYANOBACTERIAL COMMUNITY OF UNEXPLORED NORTH HILL REGIONS OF CHHATTISGARH, INDIA

Present investigation deals with the characterization, documentation and diversity analysis of the cyanobacterial community of the northern hills region of Chhattisgarh. Based on the morphological attributes (shape, size, number and position of vegetative cell, heterocyte and akinete), these regions were dominated by the isolated twenty cyanobacterial species viz. Scytonema sp. 1ss, Anabaena sp. 2ss, Calothrix sp. 3ss, Aphanothece sp. 4ss, Aphanothece sp. 5ss, Scytonema sp. 6ss, Anabaena sp. 7ss, Tolypothrix sp. 8ss, Nostoc sp. 9ss, Aphanothece sp. 10ss, Anabaena sp. 11ss, Anabaena sp. 12ss, Calothrix sp. 13ss, Calothrix sp. 14ss, Anabaena sp. 15+ss, Nostoc sp. 16ss, Nostoc sp. 17ss, Scytonema sp. 18ss, Anabaena sp. 19ss and Anabaena sp. 20ss. These cyanobacteria were also characterized on the basis of physiological activities (pigment analysis, protein, carbohydrate and enzymatic activities related to nitrogen metabolism) which suggested great diversity at the species level. Further, biochemical and molecular approaches have also been assessed for phylogenetic comparison and the result validated a high level of heterogeneity based on SDS-PAGE and 16S rRNA gene sequences respectively. The phylogenetic tree constructed on the basis of Neighbor Joining (NJ), Maximum Likelihood (ML), Maximum Parsimony (MP) showed same tree topologies with good bootstrap value at all nodes. It also showed a clear representation of monophyletic origin in Clusters I (Aphanothece sp. 4ss, Aphanothece sp. 5ss, Aphanothece sp.10ss) whereas cluster II, III and IV proved and confirmed polyphyletic origin of the order Nostocales. Cluster VI might be suggested that the strains found in this cluster consists of certain morphological features that might be used for the classification of the tested strains at the species level.
Super-Almost Countable Fields for a Functor

Let τ be an almost elliptic morphism. Recent interest in finitely right-free monoids has centered on constructing pseudo-analytically maximal groups. We show that every continuously negative system is degenerate, uncountable and invariant. In this setting, the ability to construct almost surely closed, almost surely hyper-empty homeomorphisms is essential. It would be interesting to apply the techniques of [11] to natural functors.
PROPHYLACTIC EFFECT OF BOSWELLIA CARTERII EXTRACT ON EXPERIMENTAL MURINE CANDIDIASIS

This research aimed to study the effect of Boswellia carterii alcoholic extract that used in the treatment of mice experimentally infection by Candida albicans. Twenty female mice were divided into (4) groups. The first group (5) mice were septic with infected dosage of C. albicans (1×10) living cell/ ml. and cured with (1 mg/Kg. B.wt) of Boswellia carterii extract once/ day for (14) days, the second group (5) mice were infected as previously and treated with(2 mg/Kg.B.wt) of Boswellia carterii extract once/ day as above, the third group(5) mice was given Candida albicans (1×10 live cell/ ml) and served as control positive while the fourth group(5) mice were inoculated with (0.2) ml of sterile phosphate buffer saline and served as control negative. Totally animals detected during the experiment period after treatment with Boswellia carterii alcoholic extract were sacrificed, specimens from kidneys and uterus were collected for fungal isolation and histopathological changes from treated and control groups. Heavy fungal isolation from uterus in control group with evidence of mild isolation in 1 group while no fungal isolation observed in 2 group also notice severe pathological findings in both kidney and uterus tissues of control positive animal while evidence of hyperplastic changes with MNCs infiltration mainly recorded in treated group.
Determinants of hotel employees’ electricity saving intention: extending the theory of planned behaviour

The hospitality industry including hotels makes a significant contribution to job creation and the gross domestic product of many countries. However, the negative environmental effects of hotels include high electricity consumption and emission of green house gases. Employees can help to improve workplace pro-environmental behaviour but the determinants of their electricity saving behaviour has not received thorough empirical investigation. Grounded on on the theory of planned behaviour (TPB), the study examined the determinants of hotel employees’ electricity saving intention (ESI). The study extended the TPB by adding two constructs (environmental concern and organisational climate) to the three TPB constructs. Data was collected through the cross-sectional survey method and the Partial Least Square Structural Equation Modelling was used for data analysis. The results showed significant positive relationships between two TPB constructs (attitude and perceived behavioral control) and hotel employees’ ESI. In addition, the effects of the two added constructs are significant. Theoretically, the study extended the TPB by adding two constructs and linking them to employees’ ESI in the hospitality industry. Recommendations include workplace training on electricity saving.
EFFECT OF DIETARY SUPPLEMENTATION WITH SEAWEED AND POLYPHENOLS MIXTURE ON ANTIOXIDANT STATUS, CONCENTRATION AND MOTILITY OF RABBIT SPERMATOZOA

In recent years, many studies have been focused on natural substances that could have effect on health of animals. We investigated effect of extract consisting mainly of polyphenols, brown algae and plant polysaccharides on the reproduction potential of male rabbits (New Zealand white breed) during 60 days long dietary experiment. The rabbits were divided into three groups. Control was fed a basal diet, whereas the second and third group were supplemented with seaweed and polyphenols mixture: T1 = 0.3% and T2 = 0.6% respectively. We observed that sperm concentration in both experimental groups increased in comparison to the control group. Results of the CASA analysis showed enhanced motility (C = 85.09±7.53%, T1 = 87.21±8.25%, T2 = 89.38±8.02%) and progressive motility (C = 74.28±12.6%, T1 = 79.07±13.89%, T2 = 81.28±11.37%) in experimental groups supplemented with combination of algae and polyphenols in comparison with the control group. While monitoring ferric reducing ability of plasma (FRAP), we found the highest value in T1 group, changes were insignificat. An increase in GPx activity was measured in experimental groups in comparison with the control group with major difference in T1 group. In experimental groups, we determined an increase in activity of superoxide dismutase (SOD) in comparison with control group, the difference was significant in T2 group (C = 0.26±0.11 U/mg TP; T2 = 0.31±0.09 U/mg TP). In conclusion, our studies suggest that dietary supplementation with brown seaweed and plant polyphenols mixture may be potentially useful for enhancement of sperm motility and protection against oxidative stress.
Interpretability Analysis of Machine Learning Algorithms in the Detection of ST-Elevation Myocardial Infarction

Recent studies suggested that ST-Elevation Myocardial Infarction (STEMI) can be detected in the ECG relying on machine learning (ML) algorithms. However, most of ML algorithms lack of an interpretability analysis, since they do not provide any justification for their decisions. In this study, we trained a Random Forest (RF) on the Physionet PTB database to automatically detect STEMI patients, considering 12-lead average templates as input. Then, we used the Local Interpretable Model-agnostic Explanations (LIME) method to highlight the input parts that mostly contributed to the detection. LIME interpretations were validated with the anatomical position of the myocardial infarction available within the dataset. Experimental results showed that RF achieved a high test set accuracy (ranging from 0.84 to 0.92). However, LIME identified areas within QRS complexes as the most relevant ones for the RF decision, rather than in the ST segment as expected. Our study suggests that, despite the test set accuracy, ML algorithms for STEMI classification, trained on small or unbalanced/biased populations, may rely on features which are not clinically significant. In this regard, interpretability algorithms like LIME may help in understanding possible pitfalls.
Formulation and In-vitro evaluation of orodispersible tablets containing naproxen sodium & rizatriptan benzoate

Migraine is a condition characterised by attacks of moderate to severe, throbbing headache requires faster regimens of treatment in preventing of cluster headache for prolonged periods. Orodispersible Tablets (ODT) are most accepted and have gained importance who have difficulty in swallowing & for faster therapeutic benefit. In the present study, orodispersible tablets containing Naproxen sodium as NSAID and Rizatriptan benzoate a potent selective 5-HT1B/1D receptor were prepared by direct compression method employing Superdisintegrants Sodium Starch Glycolate, Croscarmellose sodium and Crospovidone and were evaluated. Naproxen of being BCS (class -II) its Solubility studies were enhanced by compaction technique. All the formulations showed good flow properties such as Angle of repose, Bulk density, Tapped density, Carr’s index & Hausner’s ratio. The orodispersible tablets were evaluated for weight variations, Hardness, Friability, disintegration time, Wetting time and Dissolution rate and were within the permissible limits. FT-IR & DSC Studies established no physicochemical interaction. The Optimized formulation (F9) containing 250mg of Naproxen, 10mg of Rizatriptan with the superdisintegrant crospovidone of 21mg found to have a drug release (99.96%) at 30mins with disintegration time 1min 45sec following first order kinetics. Stability studies indicated no significant changes in physical appearance, disintegration time and % drug release.
Hepatoprotective activity of ethanol extract of Mimosa pudica leaves in type 2 diabetic rats

Mimosa pudica Linn is a traditional plant with high medicinal value used for the treatment of numerous diseases. The parts of the plant such as leaves, roots and whole plant used for the treatment of diabetes mellitus. The hepatoprotective activity of ethanol extract of Mimosa pudica leaves extract was studied in high fat diet (HFD) and streptozotocin (STZ)-induced type 2 diabetes mellitus. The rats were divided into five groups of six animals each. Type 2 diabetes mellitus was induced by feeding high fat diet for two weeks followed by intraperitoneal injection of streptozotocin (35 mg/kg bwt). The diabetic rats were administered Mimosa pudica leaves extract (300mg/kg bwt) daily for 30 days. The results showed the significant increase of glucose, AST, ALT, ALP and LDH whereas the insulin and total protein level were decreased in STZ induced diabetic rats. The treatment of Mimosa pudica leaves extract showed hepatoprotective activity by significantly restored the activity of liver markers.