Miracle-dz/UniFAR-FTUs huggingface dataset:
CHARACTERISTICS OF TEACHERS’ RECOMMENDED SOCIAL SUPPORT STRATEGIES FOR PRIMARY STUDENTS WITH ASD

This study explored teachers’ perspectives of the use of social support for students with ASD through a qualitative case study. The four main themes to emerge from the interview data reflecting the teachers’ recommended strategies for social support included (a) Teachers’ views of students with ASD and social support, (b) Recommendations for best practice at the whole-school level, (c) Promoting acceptance, and (d) Practical classroom strategies. The final theme contained five subthemes or a range of practical classroom social support strategies teachers may use, including Routine, Developmental Play and Group Work, Explicitly Teaching Awareness of Emotions and Body Language, ICT, and Integration. Despite being limited to the views of two busy teachers, this study highlights the significant and vital need for the use of social support for students with ASD. This study directs teachers, schools, universities and pre-service teachers towards the use of positive pedagogies and approaches to inclusive education. It is recommended that all primary teachers consider the best practice of social support within their own classroom, and further research be carried out to investigate best practice in fostering and supporting the social growth and needs of students with ASD.
AÇAÍ SEED BRAN IN THE FEED OF SLOW-GROWTH BROILERS

ABSTRACT The aim of this study was to analyze the potential use of açaí seeds as an alternative ingredient in the feed of slow-growth broilers until 28 days of age. We carried out a bromatological analysis of fractions of the açaí fruit. The açaí seed without mesocarp was the best choice for formulation of the açaí seed bran (ASB), which was evaluated in terms of bird performance and economic viability of the supplemented feed. A total of 416 male chicks of the French Red-Naked Neck lineage were used in a completely randomized design with four treatments (0, 2, 6 and 10% inclusion of ASBin the feed) with eight replicates each. The results indicated that ASB can be included in proportions of up to 10% in the diet of slow growth broilers at early development stage without impairing performance. The 10% inclusion level also was economically equal to the control treatment, representing a viable alternative for broiler production, with potential for reduction of the negative impacts generated by açaí residue in the environment.
Corporate Governance and Financing Choices in Firms: A Panel Data Analysis of Sri Lankan Companies

An important financial decision facing firms is the choice between debt capital and equity capital. The financial structure of a firm is a specific mixture of debt and equity the firm uses to finance its operations. The financing choice of firms is crucial for any business organization. This paper investigated how corporate governance indicators such as board size, board independence, CEO duality and board meetings impact on financing choice of firms. Panel data covering a five year period from 2012 to 2016 from twenty six listed firms on the Colombo Stock Exchange (CSE) was used. Analysis was done within the Random-effects GLS regression framework. The findings reveal that organizations with larger board sizes employ more debt irrespective of the maturity period in order to raise corporate value. Further, other corporate governance variables such as board independence, CEO duality and board meetings are not found to have a significant impact on short term and long term leverage. The firms should increase their board size for accessing more debt capital as a large board size puts pressure on managers through stringent monitoring and regulatory mechanisms to increase the value of a ﬁrm. However beyond a certain level, further increase in board size could lead to adverse effects. Therefore, this study recommends a policy that may strike a good balance between quality and quantity of board size.
Image Analysis of PLC Diagnosis System

In day to day life, the study on image analysis is increasing very rapidly. Especially, for traffic light image and for PLC diagnosis in dynamic and static environments. Therefore, researchers contribute more of their interest towards image analysis as well as PLC diagnostics system. Hence, this paper mainly focused on detecting LED and how it is useful in diagnosis of PLC. Many papers regarding LED detection system is proposed but mostly papers work on small scale like traffic signal light detection, whereas this system works on multiple panels containing many PLC to detect each LED present in multiple PLC. The main aim of our paper is to detect the LED and display the status of LED accurately in the user interface based on the logic of the machine equipment . Thus, we have proposed a system with a hybrid approach.
Improvment of nitrogen and phosphorus removal in the anaerobic-oxic-anoxic-OXIC (AOAO) process by stepwise feeding

This investigation incorporated a stepwise feeding strategy into the biological process containing anaerobic/oxide/anoxic/oxide (AOAO) stages to enhance nitrogen and phosphorus removal efficiencies. Synthetic wastewater was fed into the experimental reactors during the anaerobic and anoxic stages and the substrates/nutrients were successfully consumed without recycling either nitrified effluent or external carbon source. An intrinsic sufficient carbon source developed during the anoxic stage and caused the NOx (NO 2 -N+NO 3 -N) concentration to be reduced from 11.85mg/l to 5.65mg/l. The total Kjeldahl nitrogen (TKN) removal rate was between 81.81%∼93.96% and the PO 4 -P removal ratio ranged from 93%∼100%. The substrate fed into the anaerobic with a Q 1 flow rate and a Q 2 into the anoxic reactor. The three difference experiments contained within this study produced Q 1 /Q 2 that varied from 7/3, 8/2, and 9/1. The AOAO process saved nearly one-third of the energy compared with typical biological nutrient removal (BNR) system A 2 O processes.
Facile synthesis of bioactive Allitol from D-psicose by coexpression of ribitol dehydrogenase and formate dehydrogenase in Escherichia Coli

Coexpression of formate dehydrogenase (FDH) and ribitol dehydrogenase (RDH) in Escherichia coli was used for the synthesis of Allitol from D-psicose. FDH was coexpressed with RDH for continuous NADH regeneration. The results revealed that the optimum conditions for allitol production occurred at pH 7.0 and 30 °C. Allitol reached the maximum yield of 19.2 mg at 2.0% substrate concentration after 48 hours. Using D-psicose as a substrate, allitol was successfully produced using an engineered E. coli coexpressed with RDH and FDH.
Melatonin selectively influences the transcription of pluripotency and differentiation markers in human non-cancer cells

Abstract Melatonin (MEL) may influence the efficiency of reprogramming both by somatic cell nuclear transfer and by direct induction of pluripotent stem cells (iPSC) through a yet unidentified mechanism. Transcription factors linked to cell reprogramming and cell signalling may be differentially expressed according to cell differentiation status. To address the effect of MEL on the expression of transcription factors linked to reprogramming, we used two distinct in vitro models of cellular plasticity: human foreskin fibroblasts (HFF) and primary human granulosa-lutein cells (GLC). Real-time quantitative polymerase chain reaction (qRT-PCR) analysis revealed amplification of transcripts for KLF4, MYC and NANOG in both cell types. In GLC, treatment with 10 nmol/L of MEL provoked significant up-regulation of the expression of MYC and NANOG compared to controls. KLF4 expression was not altered in GLC but was significantly down-regulated in MEL-treated HFF cells. Alterations in the expression of ERK1/2 and pERK1/2 in GLC as analyzed by Western blot were not observed regardless of the MEL treatment. On the contrary, HFF cells responded to MEL treatment with 1.6-fold higher levels of pERK1/2 compared to the non-treated controls. Our data suggest that the activation of MT1 melatonin receptor is probably related to phosphorylation of ERK1/2 at least in expanding HFF, which subsequently may act to alter gene expression and regulate cell fate. In conclusion, we demonstrated for the first time, the selective effect of MEL in vitro at physiological concentration on transcription factors regulating pluripotency and differentiation in human non-cancer cells according to cell differentiation status.
Improved atom equivalents method for converting density functional theory energies calculated on molecular mechanics structures to heats of formation

We present an improved atom equivalents method for converting Density Functional Theory energies calculated on molecular mechanics structures to enthalpies of formation. The introduction of bond parameters to an original sent of atom parameters yields a sensible improvement of the enthalpy predictions. The comparison with other similar approaches shows that our present method is a rather better calculation scheme. Some further possible improvements are pointed out.
Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes

Sleep is a critical process that is well-conserved across mammalian species, and perhaps most animals, yet its functions and underlying mechanisms remain poorly understood. Identification of genes and pathways that can influence sleep may shed new light on these functions. Genomic screens enable the detection of previously unsuspected molecular processes that influence sleep. In this study, we report results from a large-scale phenotyping study of sleep-wake parameters for a population of single-gene knockout mice. Sleep-wake parameters were measured using a high throughput, non-invasive piezoelectric system called PiezoSleep. Knockout mice generated on a C57BL6/N (B6N) background were monitored for sleep and wake parameters for five days. By analyzing data from over 6000 mice representing 343 single gene knockout lines, we identified 122 genes influencing traits like sleep duration and bout length that have not been previously implicated in sleep, including those that affect sleep only during a specific circadian phase. PiezoSleep also allows assessment of breath rates during sleep and this was integrated as a supplemental tool in identifying aberrant physiology in these knockout lines. Sex differences were evident in both normal and altered sleep behavior. Through a combination of genetic and phenotypic associations, and known QTLs for sleep, we propose a set of candidate genes playing specific roles in sleep. The high “hit rate” demonstrates that many genes can alter normal sleep behaviors through a variety of mechanisms. Further investigation of these genes may provide insight into the pathways regulating sleep, functional aspects of sleep, or indirect potentially pathological processes that alter normal sleep.
Using a machine learning approach to complement group level statistics in experimental psychology: A case study to reveal different levels of inhibition in a modified Flanker Task

In this paper, we demonstrate how machine learning (ML) can be used to beneficially complement the traditional analysis of behavioral and physiological data to provide new insights into the structure of mental states, in this case, executive functions (EFs) with a focus on inhibitory control. We used a modified Flanker task with the aim to distinguish three levels of inhibitory control: no inhibition, readiness for inhibition and the actual execution of inhibitory control. A simultaneously presented n-back task was used to additionally induce demands on a second executive function. This design enabled us to investigate how the overlap of resources influences the distinction between three levels of inhibitory control. A support vector machine (SVM) based classification approach has been used on EEG data to predict the level of inhibitory control on single-subject and single-trial level. The SVM classification is a subject-specific and single-trial based approach which will be compared to standard group-level statistical approaches to reveal that both methodologies access different properties of the data. We show that considering both methods can give new insights into mental states which cannot be discovered when only using group-level statistics alone. Machine learning results indicate that three different levels of inhibitory control can be distinguished, while the group-average analysis does not give rise to this assumption. In addition, we highlight one other important benefit of the ML approach. We are able to define specific properties of the executive function inhibition by investigating the neural activation patterns that were used during the classification process.
Synthesis of New 2-Phenylamino-4H-chromene-3-carbonitrile Derivatives and Their Effects on Tumor Cell Lines and against Protein Kinases

The synthesis of 2-phenylimino-4H-chromene-3-carbonitriles 6(a-d) in good overall yields using an efficient and practical methodology in 3 steps has been implemented in this present work. The first step was a heterocyclization between 2-hydroxybenzaldehyde 1 and propanedinitrile 2 which produced 2-iminocoumarin 3 which was submitted to nitrogen/nitrogen displacement in the presence of aromatic primary amine 4. In the third step, reduction of 5 led to the desired 2-phenylimino-4H-chromene-3-carbonitriles 6. Compounds 5(a-d) and 6(a-d) were evaluated for their potential in vitro cytotoxicity against six selected tumor cell lines (Huh7-D12, Caco2, MDA-MB231, HCT 116, PC3 and NCI-H727) and tested for their protein kinase inhibition on eight selected protein kinases. Among them, compounds 5c and 6b exhibited inhibition on HsCK1e (5c: 44% and 6b: 42% at 1 μM) and 5c for cytotoxicity on PC3 cell lines (63% at 25 μM).
From digital images to barcodes

1952 ABSTRACT The recognition of objects in digital images is a key problem in the computer vision. It has received the attention of many researchers in order to evaluate and improve the performance of descriptors, especially that of the shape descriptor. In this paper, we will consider the persistent homology as an algebraic tool measuring the topological features of shapes. To digital images, one can associate cubical complexes instead of triangulation because it reduces significantly the size of complexes. We implement this algebraic characterization by an algorithm that represents any digital image as bar codes in the form of finite union of intervals. The benefits of this algorithm is not only to be the shape descriptor, but also a shape comparator. Indeed, by using the the Bottleneck distance of barcodes, the algorithm allows us to answer how much close or far two shapes are.
Caesio varilineata carpenter, 1987 (Osteichthyes: Caesionidae) a new alien fish in the southeastern mediterranean sea

The variable-lined fusilier Caesio varilineata Carpenter, 1987 is firstly reported from the northwestern coast of Egypt in February 2018, constituting the first record in the Mediterranean Sea. Several dozen of individuals were encountered at two fish landing sites in Alexandria suggesting that this species may have an established population in the southeastern Mediterranean Sea. Considering the nearness of the Suez Canal, it is likely that this new alien fish migrated through the canal.
Adaptive Feedback Linearization Controller for Stabilization of Quadrotor UAV

: Due to the various applications of the quadrotor unmanned aerial vehicle (UAV) systems increase daily, the researchers recently granted it considerable attention. In this manuscript, the mathematical model of the quadrotor UAV has been presented. The feedback linearization (FBL) technique is implemented to linearize the attitude and altitude dynamic equations of the quadrotor UAV. The proportional-integral-derivative (PID) controller is designed to the obtained linearized model (attitude and altitude subsystems). The quadrotor UAV that used for outdoor applications is influenced by the wind guest disturbances and parameter uncertainties, which result in the deterioration of the PID controller performance, and gain re-tuning is required. Therefore, for a robust performance against the wind disturbance and the parameter uncertainties, the adaptive feedback linearization (AFBL) is proposed and implemented to stabilize the quadrotor attitude and altitude subsystems. The parameter uncertainties have been adaptively estimated based on the Lyapunov stability function, which was able to cancel the quadrotor system uncertainties. The proposed controller has been evaluated by simulation Matlab/Simulink and provided better performance against parameter uncertainties and wind guest disturbances, where the error in the attitude and altitude have been reduced about % 82 and % 53, respectively, compared to the conventional exact FBL controller.
A computer aided drawing system evaluation with early and late blind users

ABSTRACT The present lack of suitable and efficient graphics creation techniques may place limitations on the career progression and life contentment of blind students. It is challenging for a BVI (Blind and Visually Impaired) person to draw diagrams or art, which are commonly taught in education or used in industry. The SETUP09 graphics creation system was developed to address a need for blind users to be able to create such content and consists of both navigation and computer aided drawing techniques, enabling graphics creation and manipulation through command language and intuitive, matrix-style movement. The technique can facilitate a user’s ability to produce art and scientific diagrams electronically. This paper presents a comparative system evaluation of digital versus analogue drawing techniques with early and late blind individuals. Users were tested using different graphics creation tasks to assess the accuracy and efficiency of an analogue drawing technique compared with the digital SETUP09 system. The results confirmed that the SETUP09 compass-based graphics creation technique allows greater accuracy in completing a drawing task, with a noticeable reduction in effort compared to analogue drawing techniques.
AN ALGORITHM ANALYZING PHONEME-GRAPHEME AWARENESS THROUGH THE BREAKDOWN OF WORDS

Phoneme awareness and orthography are core language skills, in this paper the relationship between both is monitored. There are two main parts to this experiment. The first is a group of algorithms that enable the measures of the described relationship and the second uses the previous measurements to solve a classification problem that related to a real-world problem. Participants are asked to spell a list of words by audio and divide each word into groups of letters that describe the shortest units of sound. This is done so that the correlation between how a person hears a word and how they write it can be observed. Once the data is collected the former part is used to deduct a score. The latter part of the experiment is done to prove the effectiveness of the scoring. Dyslexia is a clinical issue that is known to affect phonological awareness that relates to poor orthography. For this experiment, participants with this profile were asked to participate. Using the score obtained from the data, a classification model is trained in an attempt to classify dyslexic and non-dyslexic participants. This will be used to gauge the effectiveness of the scoring. The experiment has already been proven to work with a limited amount of data.
The Development Fortified Pan Bread by Increasing Its Protein Content with High Levels of Live Yeast cells Saccharomyces Cerevisiae

of chromium a trace mineral is known as glucose tolerance factor essential the lowers fluctuating Abstract The main objective of the research is to develop pan bread nutritional value through fortification with high concentration of live yeast cells (Saccharomyces Cerevisiae). Fortified pan bread boosts the nutritional status of poor people and reduces the incidence of infertility diseases. The bread was reformulated by adding various concentrations of S. Cerevisiae at 5, 10, 15, 20 and 30g/ kg wheat flour. The bread was baked using the straight dough method. Protein, carbohydrate, moisture, fat, vitamin B complex, minerals, energy value, amino acids profile and Sensory evaluation were conducted on the fortified pan bread were evaluated. Results revealed that the carbohydrate, moisture, vitamin B complex, minerals, protein content and amino acids pattern increased with the increase in concentration of S. Cerevisiae. The sensory test showed that pan bread fortified with S. Cerevisiae concentration at 5, 10, 15 &20g/kg wheat flour were accepted by panelists, while pan bread at 30g/kg concentration was unacceptable. This study shows the potential of using high concentration of S. Cerevisiaein improving protein quality and nutritional value of pan bread consumed by economically disadvantaged communities.
eXtensible Business Reporting Language (XBRL): A Review and Implications for Future Research

This study seeks to advance research related to eXtensible Business Reporting Language (XBRL). XBRL is an open standard for reporting structured financial information which enables the efficient gathering of data and automated comparison of financial information. To encourage research using XBRL we describe the richness of XBRL data and sources from which it can be obtained. We also present a review of relevant XBRL literature, beginning with studies examining the consequences of XBRL adoption and data quality concerns that arose during this timeframe. We next discuss the use of extended XBRL tags and implications of this decision for users of financial reports. The following related literature stream includes studies that leverage XBRL tags to identify unique numerical, or textual data that is otherwise unavailable or requires manual data collection. We conclude the review with a discussion of auditors’ potential use and assurance of XBRL data. Based on the review of the literature, we identify topics with the greatest potential for future research. Data Availability: Data are available from http://www.xbrlresearch. com.
Molecular regulation of IL-2 inducible T-cell kinase (Itk) and the Tec kinases: A combined experimental and computational study, with emphasis on the N-terminal Pleckstrin Homology domain

This dissertation investigates the complex regulation of IL-2 inducible T-cell kinase (Itk) and its related Tec family kinase members, using a combination of experimental and computational approaches. Tec kinases are expressed primarily in hematopoietic cells and regulate key signaling events in lymphocyte activation, differentiation, and development. Itk functions in immune response, fine-tuning signaling downstream of the T-cell Receptor (TCR), and is a putative drug target for allergies and autoimmune disease. Btk, a Tec kinase found in B-cells, carries out a similar role to that of Itk, only downstream of B-cell Receptor (BCR) signaling. The chapters of this dissertation focus on these two kinases, Itk and Btk, and share the common goal of improving our understanding of the molecular mechanisms that regulate these kinases and the immune cell signaling pathways they are a part of, primarily addressing two questions: 1) What is the role of the N-terminal Pleckstrin Homology (PH) domain in regulating Itk and Btk, in addition to its canonical role of PIP3 binding and consequent colocalization to the plasma membrane? 2) The isolated kinase domains of Tec kinases exhibit very weak activity, unlike other kinases domains, such as Src kinases, which have isolated kinases domains that are fully active; what are the sequence/structure differences responsible for rendering Tec kinase domains inactive? The major contribution of this dissertation is the development of an Itk PH domain mutant, C96E/T110I (referred to later as ItkPH), that overcomes the insoluble, aggregation-prone nature of wild-type ItkPH without affecting canonical PIP3 binding. This development opened the door to studying the previously intractable Itk PH domain