Miracle-dz/UniFAR-FTUs huggingface dataset:
Virtual Assistant Design for Water Systems Operation

Water management systems such as wastewater treatment plants and water distributions systems are big systems which include a multitude of variables and performance indicators that drive the decision making process for controlling the plant. To help water operators make the right decisions, we provide them with a platform to get quick answers about the different components of the system that they are controlling in natural language. In our research, we explore the architecture for building a virtual assistant in the domain of water systems. Our design focused on developing better semantic inference across the different stages of the process. We developed a named entity recognizer that is able to infer the semantics in the water field by leveraging state-of-the art methods for word embeddings. Our model achieved significant improvements over the baseline Term Frequency Inverse Document Frequency (TF-IDF) cosine similarity model. Additionally, we explore the design of intent classifiers, which involves more challenges than a traditional classifier due to the small ratio of text length compared to the number of classes. In our design, we incorporate the results of entity recognition, produced from previous layers of the Chatbot pipeline to boost the intent classification performance. Our baseline bidirectional Long Short Term Memory Network (LSTM) model showed significant improvements, amounting to 7-10% accuracy boost on augmented input data and we contrasted its performance with a modified bidirectional LSTM architecture which embeds information about recognized entities. In each stage of our architecture, we explored state-of-the-art solutions and how we can customize them to our problem domain in order to build a production level application. We additionally leveraged Chatbot frameworks architecture to provide a context aware virtual assistance experience which is able to infer implicit references from the conversation flow.
Are Classroom Discussions on Controversial Political Issues in Civic Education Lessons Cognitively Challenging? A Closer Look at Discussions with Assigned Positions

Discussing controversial political issues in class provides rich opportunities for cognitively activating learning processes, i.e. in-depth processing of learning content and higher-order thinking processes. However, relating the features of a given argumentative design to specific learning outcomes is a tricky endeavor, as this theoretical paper aims to illustrate through the example of a discussion with assigned positions (for/against) in civic education classes. The potential of such discussion settings for cognitive activation was examined by considering the features of the overall argumentative design, task configurations, and learning activities. More concretely, it is argued that controversial discussions with assigned positions constitute three different task configurations depending on the relationship between a student's personal and assigned positions. Based on the ICAP framework (Chi & Wylie, 2014) for cognitive engagement, the paper further shows that students may take part in various modes of learning activities within a single instructional setting (although to different degrees). These findings point to the need to develop "more local" (Mandl & Renkl, 1992) or "middle-range" theories (Mutz, 2008) of learning through argumentation.
COMPARISON OF N-HETEROCYCLIC AMINE LIGANDS FOR POTENTIAL APPLICATION AS ALZHEIMER’S DISEASE THERAPUETIC AGENTS

iii ACKNOWLDGEMENTS . iv LIST OF FIGURES . vii LIST OF TABLES . viii LIST OF SCHEMES . ix INTRODUCTION . 1 I. Alzheimer’s Disease: Impact and Pathology . 1 II. Amyloid, Oxidative Stress, and Metal-ion Integrated Pathology of AD . 2 III. Approach to Therapeutics . 4 IV. A multimodal approach by Green and co-workers . 5 MATERIALS AND METHODS . 7 I. General synthesis . 7 II. Metalation . 8 III. Turbidity Assay . 9 IV. CCA Assay . 9 V. DPPH assay . 10 VI. TEAC assay . 10 RESULTS AND DISCUSSION. 12 I. Turbidity assay . 12 II. CCA assay . 13 III. DPPH assay . 16 IV. TEAC assay . 17 CONCLUSION . 19 REFERENCES . 20
Active surveillance for low risk papillary thyroid cancer

We read with interest the article published by Akira Miyauchi, “Clinical Trials of Active Surveillance of Papillary Microcarcinoma of Thyroid” in the World Journal of Surgery [2016] (1), which summarizes 22 years of experience with this approach. Dr. Miyauchi, who is the father of active surveillance (AS) for low risk thyroid cancer, concludes that, “although we still offer two options, immediate surgery or observation, to patients with low risk papillary micro-carcinoma (PMC) at Kuma Hospital, we now strongly recommend observation as the best choice. ”
Linkage Potential Of Self Help Groups (Shgs) To Micro, Small & Medium Enterprises (MSME)

The purpose of this research work is to study the potential of Self Help Groups (SHGs) for linking to Micro, Small & Medium Enterprises (MSME) in the Union Territory of Puducherry region. The research variables were identified from the literature review relating to potential of SHG and primary data of 251 random sample of SHGs was collected through survey method using wellstructured questionnaire. The statistical package of SPSS was utilized to analyze the data using the statistical techniques of descriptive statistics with frequency analysis and simple mean, chi-square and ANOVA Test. Majority of SHGs consisting of 49.8% are willing to pay an amount up to Rs.5000 if training is provided through MSME organizations and higher number of SHGs have indicated that they are very much interested in ancillary production activities.
What educational and other experiences assist recently qualified nurses to understand and deal with clinical risk and patient safety?

This research was undertaken to investigate how newly graduated nurses recognise and develop skills relating to clinical risk and patient safety. I set out to understand how and where new graduates learn those skills and what would help future undergraduate nurses better prepare for the complexities of the clinical setting. A qualitative research study using Appreciative Inquiry (AI) was the chosen methodology. This was selected for its aspirational outlook, which allows positive conclusions to be drawn from the study’s findings. Nine nurses in their first year of clinical practice participated in the study and they were interviewed on a one-to-one basis. The key findings demonstrated that the approaches to teaching clinical risk and safe patient care and experiences of these in the undergraduate setting were variable, with many participants describing that they were ill prepared for the rigours of the clinical environment. They identified workplace culture, clinical role models, exposure to the clinical environment; experiential learning, narrative story sharing, debriefing and simulation as contributing factors to their ability to learn and understand clinical risk and safe patient care. Despite their initial uncertainty, the participants were able to describe safe patient care and clinical risk. They identified cultures of safe patient care, safe teaching and safe learning. The participants further identified their preferred learning styles and recommended strategies that educationalists and clinical stakeholders employ to facilitate their professional development and understanding of clinical risk and patient safety. The participants identified a more thoughtful, structured and overt approach to teaching the subject of clinical risk and patient safety to prepare for the clinical environment. They desired more experiential exposure, either clinical or simulated. They highlighted the need for effective preceptors and role models, alongside opportunities for sharing their clinical experiences and debriefing critical incidents. Furthermore, they recognised aspects of workplace cultures that facilitated or hindered effective clinical practice and safe patient care.
IInsulin-like growth factor-1 gene expression in the endometrium of repeat breeder cows after the administration of presynch-10 and ovsynch protocol

The aim of this study was to investigate the effects of using presynch-10 and ovsynch synchronization protocols on endometrial expression and serum levels of insulin-like growth factor-1 (IGF-1) that thought to play roles during endometrial healing process in cows diagnosed with repeat breeder syndrome (RBS) and subclinical endometritis (SE). A total of 40 Holstein-Friesian cows identified as having RBS and SE were used. The animals in Group 1 (G1, n=20) were applied presynch-10 and ovsynch furthermore, biopsy and blood samples were collected both before and after administration. Biopsy and blood samples were taken from the animals in Group 2 (G2, n=20) without performing any synchronization. The IGF-1 gene expression profiles were determined in all samples using RT-qPCR. Even though the level of IGF-1 expression increased in samples taken after synchronization in G1, it was not statistically significant (P>0.05). There was no statistical difference in serum IGF-1 levels between G1 and G2 (P>0.05). In conclusion, the expression of the IGF-1 gene in the endometrial tissue of RBS cows with SE was identified, but the evidence suggests that the synchronization protocols in question had no significant effect on the gene expression profile being investigated.
AN EFFICIENT ALGORITHM TO INTER AND INTRA-CELL LAYOUT PROBLEMS IN CELLULAR MANUFACTURING SYSTEMS WITH STOCHASTIC DEMANDS

In the design of a cellular manufacturing system (CMS), one of the important problems is the CMS layout. This paper presents a new mathematical model concerning inter-cell and intra-cell cost in layout problems in cellular manufacturing systems with stochastic demands. The objective of the model is to minimize the total cost incurred by the inter-cell and intra-cell movements. The proposed model determines the location of each machine in each cell and the location of cells on the shop floor with respect to the confidence level determined by the decision maker. The proposed model is a non-linear model which cannot be easily optimally solved. Thus, a linearization approach is used and the linearized model is then solved by a linear optimization software. Even after linearization, the large-sized problems are still difficult to solve, there fore a Simulated Annealing (SA) method is developed. To verify the quality and efficiency of the SA algorithm, a number of test problems with different sizes are solved and the results are compared with solutions obtained by Lingo 8 in terms of objective function values and computational time.
SIMPLIFICATION OF THE ANALYSIS OF DRY MATTER IN FLUID MILK

This study aims to evaluate a simpler methodology for determination of dry matter in three types of milk. The treatments consisted of three methodologies: AOAC (Association of Official Agricultural Chemists), characterized by the drying in porcelain capsules and pre-heating; use of analytical sand in the process of drying, as well as a simplified methodology characterized by drying in Petri dishes without analytical sand and pre-heating proceeding. The statistical analysis was performed with F test (5% significance level), Pearson’s correlation and Lin’s concordance correlation coefficient. All methodologies showed precision and accuracy in the measurement of the dry matter in milk, however, the simplified methodology was superior in material savings and shorter time consumption for the analysis.
Phage display selection of peptide inhibitors of FVIIa and their functional characterisation

CHAPTER 6 G'M' wags #j,. iiïSHf . mw, ij 'éP'·! Pi rM! iN'WMtM ik t--i**Mi*W" ktM'bbge 4 ES! "as . ' iK thM a:'ijiiN· WfflW@! #'4f1MGSlAWf9il#kAi3t;! tpMaSA'" The importance of FVlla and the FVllalTF complex for the initiation of not only hemostasis but also thrombosis is now generally accepted. It was shown that the blockade of coagulation at the level of FVlla provided full anti thrombotic protection without abnormal bleeding (Harker et aI, 1996), therefore FVlla is a suitable candidate for the development of novel antithrombotics. We selected inhibitors to FVlla using the technique of phage display. A repeated selection of phages from a cyclic heptapeptide and a linear 12-mere phage display library resulted in the enrichment of phages that bind to human FVlla. We selected twelve colonies (6 from each library) that showed the strongest binding to FVlla. The colonies from the cyclic 7-mere library showed a higher affinity binding for FVlla than the colonies from the linear 12mere library. TF also prevents the binding of one of the cyclic colonies to FVlla. This colony as well as one colony from the linear library showed lengthening of the prothrombin time (PT) as well as the thrombin time (TT) in a dose-dependent manner. A cyclic heptapeptide was synthesised with the corresponding sequence as the sequence displayed on the cyclic 7-mere colony. The peptide showed lengthening of the PT and TT in a dose-dependent manner with a more pronounced effect on the PT than the TI. We also studied the effect of this peptide on platelet adhesion on human vascular endothelial cell matrix, collagen and TF under both venous and arterial shear stresses. The peptide inhibits platelet adhesion to HMEC-1 under both shear stresses. The effect on arterial shear is however more pronounced. It does not inhibit platelet adhesion to collagen, but has a dose-dependent inhibitory effect on platelet adhesion TF at arterial shear. Kinetic analysis of the peptide showed that this peptide is a competitive inhibitor of FVlla by altering the Km-values but not the
Overview of the stratigraphic and structural evolution of the Talladega slate belt, Alabama Appalachians

The allochthonous Talladega belt of eastern-northeastern Alabama and northwestern Georgia is a northeast striking, fault bounded block of lower greenschist facies metasedimentary and metaigneous rocks that formed along the margin of Laurentia at or outboard of the seaward edge of the Alabama promontory. Bounded by metamorphic rocks of the higher grade Neoproterozoic(? ) to Carboniferous eastern Blue Ridge on the southeast and unmetamorphosed to anchimetamorphic Paleozoic rocks of the Appalachian foreland on the northwest, the Talladega belt includes shelf facies rocks of the latest Neoproterozoic/earliest Cambrian Kahatchee Mountain Group, Cambrian-Ordovician Sylacauga Marble Group, and the latest Silurian(? ) to uppermost Devonian/earliest Mississippian Talladega Group. Along the southeastern fl ank of these metasedimentary sequences, a Middle Ordovician back-arc terrane (Hillabee Greenstone) was tectonically emplaced along a cryptic pre-metamorphic thrust fault (Hillabee thrust) and subsequently dismembered with units of the upper Talladega Group along the post-metamorphic Hollins Line fault system. Importantly, strata within the Talladega belt are critical for understanding the tectonic evolution of the southern Appalachian orogen when coupled with the geologic history of adjacent terranes. Rocks of the lower Talladega Group, the Lay Dam Formation, suggest latest Silurian-earliest Devonian tectonism that is only now being recognized in other areas of the southern Appalachians. Additionally, correlation between the Middle Ordovician Hillabee Greenstone and similar bimodal metavolcanic suites in the Alabama eastern Blue Ridge and equivalent Dahlonega Gold belt of Georgia and North Carolina suggests the presence of an extensive back-arc volcanic system on the Laurentian plate just outboard of the continental margin during the Ordovician and has signifi cant implications for models of southern Appalachian Taconic orogenesis. *jtull@fsu.edu: barineau_clinton@columbusstate.edu. Tull, J.F. , and Barineau, C.I. , 2012, Overview of the stratigraphic and structural evolution of the Talladega slate belt, Alabama Appalachians, in Eppes, M.C. , and Bartholomew, M.J., eds., From the Blue Ridge to the Coastal Plain: Field Excursions in the Southeastern United States: Geological Society of America Field Guide 29, p. 1–40, doi:10.1130/2012.0029(xx). For permission to copy, contact editing@geosociety.org. © 2012 The Geological Society of America. All rights reserved. 2 Tull and Barineau fl d029-08 1st pgs page 2
Fasting Induces Hepatocellular Carcinoma Cell Apoptosis by Inhibiting SET8 Expression

Background Hepatocellular carcinoma (HCC) is a life-threatening cancer, and the Kelch-like ECH-associated protein 1 (Keap1)/NF-E2-related factor 2 (Nrf2)/antioxidant response element (ARE) signalling pathway plays a crucial role in apoptosis resistance in cancer cells. Fasting is reported to mediate tumour growth reduction and apoptosis. SET8 is involved in cancer proliferation, invasiveness, and migration. However, whether SET8 participates in fasting-mediated apoptosis in HCC remains unclear. Methods We used immunohistochemical staining to analyse the expression of SET8, Keap1, and Nrf2 in HCC tissues. Cell viability, apoptosis, and cellular reactive oxygen species (ROS) were assessed, and Western blot and qPCR analyses were used to examine the expression of Keap1/Nrf2 in HCC cells under fasting, SET8 overexpression, and PGC1α overexpression conditions. Mass spectrometry, coimmunoprecipitation, and confocal microscopy were used to determine whether PGC1α overexpression conditions. Mass spectrometry, coimmunoprecipitation, and confocal microscopy were used to determine whether PGC1In vivo experiments were performed to verify the conclusions from the in vitro experiments. Results Our data indicate that SET8 expression is associated with poor survival in HCC patients. Both in vitro experiments. in vivo experiments were performed to verify the conclusions from the α overexpression conditions. Mass spectrometry, coimmunoprecipitation, and confocal microscopy were used to determine whether PGC1α overexpression conditions. Mass spectrometry, coimmunoprecipitation, and confocal microscopy were used to determine whether PGC1 Conclusions The results of our study demonstrate that fasting induces HCC apoptosis by inhibiting SET8 expression and that SET8 interacts with PGC1α to activate the Nrf2/ARE signalling pathway by inhibiting Keap1 expression. α overexpression conditions. Mass spectrometry, coimmunoprecipitation, and confocal microscopy were used to determine whether PGC1
Factors that Influence Secondary School Teachers’ Acceptance of E-learning Technologies in Teaching in the Kingdom of Saudi Arabia

T he researcher used the technology acceptance model (TAM) to investigate the attitudes and factors, which influence secondary school teachers’ acceptance of e-learning technologies in teaching in the city of Mecca in Saudi Arabia. Using a questionnaire, data was collected from 38 secondary schools, and 509 valid usable responses obtained. The participants were chosen at random, and hence the sample is not discriminatory in terms of teachers’ gender, subject specialisations, ages and others. The data was analysed by using SPSS 21.0 package and the Smart PLS 2.0 program, The findings indicate that the TAM can be used to explain the factors influencing teacher technology acceptance, in Saudi Arabian context.
Relevant Traffic Light Localization via Deep Regression

Artificial intelligence advances have an important role on self-driving cars development, such as assisting the recognition of traffic lights. However, when relying on images of the scene alone, little progress was observed on selecting the traffic lights defining guidance to the car. Common detection approaches rely on additional high-level decision-making process to select a relevant traffic light. This work address the problem by proposing a deep regression system with an outliers resilient loss to predict the coordinates of a relevant traffic light in the image plane. The prediction can be used as a high-level decision-maker or as an assistant to a cheaper classifier to work on a region of interest. Results for European scenes show success in about 88% of the cases.
Correspondence Methods for SQL Query Clustering

: Database entrance logs are the initial point for various forms of database administration, from database performance tuning, to defense auditing, to standard design, and many more. Unfortunately, query logs are also bulky and clumsy, and it can be tricky for an analyst to extort broad patterns from the set of queries initiate therein. Clustering is a usual first step towards understanding the enormous query logs. However, many clustering methods rely on the concept of pair wise comparison, which is difficult to compute for SQL queries, particularly when the underlying data and database diagram is unavailable. The exploration of problem is computing comparison between queries, relying only on the query constitution. Accomplish an exact evaluation of three query similarity heuristics projected in the literature applied to query clustering on several query log datasets, expressive different kinds of query workloads. To develop the precision of the three heuristics, proposition a generic feature engineering approach, using standard query rewrites to normalize query structure. The proposed system approach is to generate important results in development for the performance of all similarities.
Antioxidant Activities of Streptomyces sp. strain MUSC 14 from Mangrove Forest Soil in Malaysia

The mangrove ecosystem of Malaysia remains yet to be fully explored for potential microbes that produce biologically active metabolites. In the present study, a mangrove-derived Streptomyces sp. strain MUSC 14 previously isolated from the state of Pahang, Malaysia Peninsula, was studied for its potential in producing antioxidant metabolites. The identity of Streptomyces sp. strain MUSC14 was consistent with the genotypic and phenotypic characteristics of the Streptomyces genus. The antioxidant potential of Streptomyces sp. strain MUSC 14 was determined through screening of its methanolic extract against sets of antioxidant assays. The results were indicative of Streptomyces sp. strain MUSC 14 displaying strong antioxidant activity against ABTS, DPPH free radicals and metal chelating activity of 62.71 ± 3.30%, 24.71 ± 2.22%, and 55.82 ± 2.35%, respectively. The result of ferric reducing activity measured in terms of dose was equivalent to 2.35–2.45 μg of positive control ascorbic acid. Furthermore, there was a high correlation between the total phenolic content and the antioxidant activities with r = 0.979, r = 0.858, and r = 0.983 representing ABTS, DPPH, and metal chelation, respectively. Overall, the present study suggests that Streptomyces sp. strain MUSC 14 from mangrove forest soil has potential to produce antioxidant metabolites that can be further exploited for therapeutic application.
Quaternion-Based Human Gesture Recognition System Using Multiple Body-Worn Intertial Sensors

In this study, we designed a multi-sensor gesture recognition system that can classify among six different human gestures. Data was collected from eleven participants using five gyroscopic motion sensors tied to their upper body. A total of 1080 samples were collected, which contain almost 6000 gestures collected within a span of 90 minutes. The data were processed and fed into a multiclass Pattern Classification system to classify the gestures. We trained Support Vector Machines and Artificial Neural Networks on the same dataset under two different scenarios to compare the results. A similar study was performed before using modified Hidden Markov Model but the data was collected using a single sensor. Our study indicates that near perfect classification accuracies are achievable. However, such accuracies are more difficult to obtain when a participant does not participate in training even if the test set does not contain any data from the training set.