Miracle-dz/UniFAR-FTUs huggingface dataset:
Collaborative professional learning: investigating impact and sustainability

This thesis examines the sustainability of collaborative professional learning in schools and its reported impact on teacher dispositions and school culture. Existing research has considered how teacher professional learning is sustained in the short term, but less attention has been paid to longer-term sustainability. One of the most vexing, lingering issues in the field of education is how meaningful educational change can be sustained such that teacher quality is ensured and impact on student learning is maximised. This work investigates a significant funded professional learning project in NSW government schools from 2006 to 2010. The particular project, Quality Teaching Action Learning, focused on improving teacher quality through the implementation of the NSW model of pedagogy and action learning, with a dual emphasis on both process and content. The study consisted of an initial survey sent to the 160 schools that received project funding during the time period specified and designed to inform the selection of cases; and multiple case studies that involved interviews, observations, and document studies in four case study schools. Results of the study were classified under three broad areas. The first of these related to school culture. Schools where there existed high levels of collaboration, professional trust, and shared practice, were more likely to sustain changes associated with collaborative professional learning. Second, where school infrastructure was in place to support sustainability, including time, funding, and other enabling conditions, learning
Developmental Formation of the GABAergic and Glycinergic Networks in the Mouse Spinal Cord

Gamma-aminobutyric acid (GABA) and glycine act as inhibitory neurotransmitters. Three types of inhibitory neurons and terminals, GABAergic, GABA/glycine coreleasing, and glycinergic, are orchestrated in the spinal cord neural circuits and play critical roles in regulating pain, locomotive movement, and respiratory rhythms. In this study, we first describe GABAergic and glycinergic transmission and inhibitory networks, consisting of three types of terminals in the mature mouse spinal cord. Second, we describe the developmental formation of GABAergic and glycinergic networks, with a specific focus on the differentiation of neurons, formation of synapses, maturation of removal systems, and changes in their action. GABAergic and glycinergic neurons are derived from the same domains of the ventricular zone. Initially, GABAergic neurons are differentiated, and their axons form synapses. Some of these neurons remain GABAergic in lamina I and II. Many GABAergic neurons convert to a coreleasing state. The coreleasing neurons and terminals remain in the dorsal horn, whereas many ultimately become glycinergic in the ventral horn. During the development of terminals and the transformation from radial glia to astrocytes, GABA and glycine receptor subunit compositions markedly change, removal systems mature, and GABAergic and glycinergic action shifts from excitatory to inhibitory.
Listening to Twitter about Adverse Events of the Comirnaty COVID-19 Vaccine during first weeks of immunisation in Poland

Aim. We perform an exploratory study of how Social Media Listening using simple keywords can be useful in pharmacosurveillance of Adverse Events (AE) of COVID-19 vaccines.Concept. 43375 Tweets about vaccines during the fi rst weeks of Comirnaty COVID-19 vaccine roll-outs in Poland were collected. We analyse the frequency of occurrence of selected common symptoms by infodemiological (related to self-reporting posts) and compare them with the epidemiological (product summary and post-registration) surveillance in Poland.Results. The AE keywords posting in Social Media is mainly driven by media interest rather than real burden of AE. The best accordance between infodemiological and epidemiological surveillance was found for systemic reactions, however local and gastric reactions seems to be underrepresented in social media. Conclusion. Infodemiology can be useful in early warning pharmacosurveillance of some AE during massive drug delivery as immunisation. Some keywords of symptoms such as fever or pain seem to be the most promising and due to low cost of monitoring should be incorporated in real-time dashboards for decision makers.
Role of Parents in Motivating Children for Orthodontic Treatment; A Cross-Sectional Study Done in Riyadh

This cross-sectional study aimed to assess the role of parents in motivating children for orthodontic treatment. The study subjects comprised parents and children who volunteered from different socio-economic classes and had different education levels. The role of parents in motivating children for orthodontic treatment was measured using a 15 items questionnaire. After ensuring the reliability of the questionnaire, differences across gender, education, and family income were seen using a statistical measure Chi-square through SPSS to determine the statistically significant differences (p<0.05). Findings revealed Forty-four percent were male participants, and fifty-five percent were female. Most parents completed their university (82%), and least just ended at the primary level (1.9%). Family income of greater sample falls between 20,000 0r more with stats of 40.3%. Female participants were in higher numbers and mostly parents wanted their child to wear braces for having a beautiful smile. In gender differences both gender wants the treatment for aesthetic purpose. University graduates were self-referred.
Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition

As a machine-learning-driven decision-making problem, the surface electromyography (sEMG)-based hand movement recognition is one of the key issues in robust control of noninvasive neural interfaces such as myoelectric prosthesis and rehabilitation robot. Despite the recent success in sEMG-based hand movement recognition using end-to-end deep feature learning technologies based on deep learning models, the performance of today's sEMG-based hand movement recognition system is still limited by the noisy, random, and nonstationary nature of sEMG signals and researchers have come up with a number of methods that improve sEMG-based hand movement via feature engineering. Aiming at achieving higher sEMG-based hand movement recognition accuracies while enabling a trade-off between performance and computational complexity, this study proposed a progressive fusion network (PFNet) framework, which improves sEMG-based hand movement recognition via integration of domain knowledge-guided feature engineering and deep feature learning. In particular, it learns high-level feature representations from raw sEMG signals and engineered time-frequency domain features via a feature learning network and a domain knowledge network, respectively, and then employs a 3-stage progressive fusion strategy to progressively fuse the two networks together and obtain the final decisions. Extensive experiments were conducted on five sEMG datasets to evaluate our proposed PFNet, and the experimental results showed that the proposed PFNet could achieve the average hand movement recognition accuracies of 87.8%, 85.4%, 68.3%, 71.7%, and 90.3% on the five datasets, respectively, which outperformed those achieved by the state of the arts.
C850T Polymorphism in Tumor Necrosis Factor Alpha gene in Women with Polycystic Ovarian Syndrome: A Physiological Genetic Validation

The most common endocrinopathy in women is polycystic ovarian syndrome (PCOS). Obesity is linked to PCOS and tumor necrosis factor-a (TNF-α), which is followed by hyperandrogenism and enhanced insulin resistance. Previous case-control and meta-analysis studies on the TNF-a gene and PCOS women relied heavily on the -C850T polymorphism. The aim of this study was to investigate the Elisa levels and -C850T (rs1799724) polymorphism in TNF-α gene with PCOS women in the Saudi women. In this case-control study, 50 PCOS patients and 50 healthy controls were recruited, and plasma levels of TNF-α were evaluated using an enzyme linked immunosorbent assay (Elisa), and extracted DNA was utilized to explore the -C850T polymorphism using Polymerase Chain Reaction (PCR). The limited and digested PCR products were run on an Agarose gel to test for the -C850T polymorphism. Elevated Elisa levels were found in CT genotype and gene polymorphism studies showed 12% of CT genotypes was documented in PCOS women and 14% in control women. None of the genotypes or allele frequencies were associated with a positive relationship between PCOS women and controls. The CT genotype had higher TNF-α levels than the CC genotype, and the C850T polymorphism was not related with PCOS in women, according to the findings of this study.
Prognostic value of high-frequency oscillations combined with multimodal imaging methods for epilepsy surgery

Abstract Background: The combination of high-frequency oscillations (HFOs) with single-mode imaging methods has been proved useful in identifying epileptogenic zones, whereas few studies have examined HFOs combined with multimodal imaging methods. The aim of this study was to evaluate the prognostic value of ripples, an HFO subtype with a frequency of 80 to 200 Hz is combined with multimodal imaging methods in predicting epilepsy surgery outcome. Methods: HFOs were analyzed in 21 consecutive medically refractory epilepsy patients who underwent epilepsy surgery. All patients underwent positron emission tomography (PET) and deep electrode implantation for stereo-electroencephalography (SEEG); 11 patients underwent magnetoencephalography (MEG). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in predicting surgical outcome were calculated for ripples combined with PET, MEG, both PET and MEG, and PET combined with MEG. Kaplan-Meier survival analyses were conducted in each group to estimate prognostic value. Results: The study included 13 men and 8 women. Accuracy for ripples, PET, and MEG alone in predicting surgical outcome was 42.9%, 42.9%, and 81.8%, respectively. Accuracy for ripples combined with PET and MEG was the highest. Resection of regions identified by ripples, MEG dipoles, and combined PET findings was significantly associated with better surgical outcome (P < 0.05). Conclusions: Intracranial electrodes are essential to detect regions which generate ripples and to remove these areas which indicate good surgical outcome for medically intractable epilepsy. With the assistance of presurgical noninvasive imaging examinations, PET and MEG, for example, the SEEG electrodes would identify epileptogenic regions more effectively.
Age at Natural Menopause; A Data Mining Approach (Data from the National Health and Nutrition Examination Survey 2013-2014)

Background: The timing of the age at which menopause occurs varies among female populations. This variation is attributed to genetic and environmental factors. This study aims to investigate the determinants of early and late-onset menopause. Methods: We used data from the National Health and Nutrition Examination Survey 2013-2014 for 762 naturally menopause women. Data on sociodemographic, lifestyle, examination, and laboratory characteristics were examined. We used random forest (RF), support vector machine (SVM), and logistic regression (LR) to identify important determinants of early and late-onset menopause. We compared the performance of models using sensitivity, specificity, Brier score, and area under the receiver operating characteristic (AUROC). The top determinants were assessed by using the best performing models, using the mean decease in Gini. Results: Random forest outperformed LR and SVM with overall AUROC 99% for identifying related factors of early and late-onset menopause (Brier score: 0.051 for early and 0.005 for late-onset menopause). Vitamin B12 and age at menarche were strongly related to early menopause. Also, methylmalonic acid (MMA), vitamin D, body mass index (BMI) were among the top highly ranked factors contributing to early menopause. Features such as age at menarche, MMA, sex hormone-binding globulin (SHBG), BMI, vitamin B12 were the most important covariate for late-onset menopause. Conclusions: Menarche age and BMI are among the important contributors of early and late-onset menopause. More research on the association between vitamin D, vitamin B12, SHBG, and menopause timing is required which will produce invaluable information for better prediction of menopause timing.
Satisficing or maximizing in public–private partnerships? A laboratory experiment on strategic bargaining

ABSTRACT Cross-sectoral strategic negotiation is a key challenge in PPPs. Based on framing and game theory, we investigate the effect of sectoral agency, affect, and bargaining domain on sectoral agents’ bargaining behaviour in a PPP renegotiation scenario. Results confirm that public agents are more likely to bargain for satisfactory, ‘good enough’ contracts than private agents, who maximize their utility. This difference is stronger in the loss vis-a-vis the gain domain. These experimental findings advance our understanding of psychological mechanisms underlying cross-sectoral negotiations, suggesting that public managers and policy-makers account for partners’ dissimilar bargaining logics to prevent asymmetric loss socialization in PPPs.
Estimating Dietary Intake from Grocery Shopping Data—A Comparative Validation of Relevant Indicators in Switzerland

In light of the globally increasing prevalence of diet-related chronic diseases, new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards hereby promise to serve as an objective and automatically traceable digital marker for individual food choice behavior and do not require users to manually log individual meal items. With the introduction of the General Data Privacy Regulation in the European Union, millions of consumers gained the right to access their shopping data in a machine-readable form, representing a historic chance to leverage shopping data for scalable monitoring of food choices. Multiple quantitative indicators for evaluating the nutritional quality of food shopping have been suggested, but so far, no comparison has validated the potential of these alternative indicators within a comparative setting. This manuscript thus represents the first study to compare the calibration capacity and to validate the discrimination potential of previously suggested food shopping quality indicators for the nutritional quality of shopped groceries, including the Food Standards Agency Nutrient Profiling System Dietary Index (FSA-NPS DI), Grocery Purchase Quality Index-2016 (GPQI), Healthy Eating Index-2015 (HEI-2015), Healthy Trolley Index (HETI) and Healthy Purchase Index (HPI), checking if any of them performs differently from the others. The hypothesis is that some food shopping quality indicators outperform the others in calibrating and discriminating individual actual dietary intake. To assess the indicators’ potentials, 89 eligible participants completed a validated food frequency questionnaire (FFQ) and donated their digital receipts from the loyalty card programs of the two leading Swiss grocery retailers, which represent 70% of the national grocery market. Compared to absolute food and nutrient intake, correlations between density-based relative food and nutrient intake and food shopping data are stronger. The FSA-NPS DI has the best calibration and discrimination performance in classifying participants’ consumption of nutrients and food groups, and seems to be a superior indicator to estimate nutritional quality of a user’s diet based on digital receipts from grocery shopping in Switzerland.
MAXENT MODELING THE CURRENT AND FUTURE DISTRIBUTION OF THE INVASIVE PEST, THE FALL ARMYWORM (SPODOPTERA FRUGIPERDA) (LEPIDOPTERA: NOCTUIDAE), UNDER CHANGING CLIMATIC CONDITIONS IN CHINA

In this study we investigated the effects of climate change on the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae). Based on the current distribution records of S. frugiperda and selected bioclimatic factors, we modelled its potential habitat suitability in China under four climate change scenarios using Maximum Entropy Models (MaxEnt) and Geographic Information Systems (GIS). Our results showed that: (1) the mean area under curve (AUC) values of both our initial and final models were greater than 0.978, indicating high accuracy in the predictions; (2) the dominant environmental factors regulating the habitat suitability of S. frugiperda were Precipitation of Warmest Quarter (bio18), Temperature Seasonality (bio4), Annual Mean Temperature (bio1) and Precipitation Seasonality (bio15); (3) the highly suitable areas for S. frugiperda were mainly distributed in Jiangsu, Anhui, Jiangxi, most parts of Henan and Guangxi, central and eastern Hubei, central and southern Shaanxi, and southeastern and northern Zhejiang, accounting for 17.6% of China’s landmass; (4) from the present until the 2070s, the areas of the non-suitable regions will decrease as climate warming becomes more severe, and the geometric center of the highly and total suitable areas will displace to the north under all four climate change scenarios.
Implications of re-oligotrophication in a large pre-alpine lake: studies on fish-zooplankton interactions and the ecology of mixotrophic chrysophytes

9 Introduction . 10 Methods . 12 Study sites . 12 Experimental design . 12 Sampling and sample procession . 14 Data analysis . 15 Results . 15 Discussion . 20 Fish predation on zooplankton . 22 Cascading effect of fish species . 23 The effect of large daphniids on phytoplankton biomass . 25 Cascading links from fish to phytoplankton . 25 Trophic cascades in a warming climate . 26 Conclusion . 26 Acknowledgements . 27 Supplementary material . 28 Chapter III: Second manuscript . 30 Growth experiments on chrysophytes native to Lake Constance considering re-oligotrophication Abstract . 30. 30 Introduction . 31 Methods . 33 Strains and culturing conditions . 33 Growth experiments . 34 Sampling and flow cytometric determination of cell densities . 34 Data analysis . 35 Results . 36 The influence of bacterial density . 36 The influence of light . 40 Discussion . 46 Heterotrophy as major strategy of P. malhamensis . 46 Photoautotrophy as major strategy of D. divegrens and D. sociale . 48 Re-oligotrophication might enhance mixotrophy in lakes . 49 Acknowledgements . 50 Chapter IV: Third manuscript . 51 Long term development and spatial distribution of the chrysophyte genus Dinobryon in a large pre-alpine lake along a process of re-oligotrophication Abstract . 51. 5
THE EFFECT OF AMINO ACID L-ALPHA PROLINE AND NITROGEN BACTERIA AZOTOBACTER VINELANDII ON THE CONTENT OF MICROELEMENTS AGAINST THE BACKGROUND OF MINERAL NITROGEN FERTILIZATION

The aim of the research was to determine the effect of L-alpha prolina and Azotoba vinelandii against the background of mineral nitrogen fertilization on the content of microelements in spring wheat grain. Field research work was conducted on a family-owned farm located in Krzymosze. The following two factors were examined: I biological preparations: control where no biological preparations were applied, L-alpha prolina, Azotoba vinelandii, L-alpha prolina+Azotobacter vinelandii; II mineral nitrogen fertiliser regime: non-fertilised control, 60 kg N ּ ha, 90 kg N ּ ha, 120 kg N ּ ha. Spring wheat grain was sampled to determine microelements. The obtained results revealed that the application of biofertilizers increased iron and zinc contents but reduced manganese and copper concentrations in spring wheat grain. The highest content of iron and zinc, and the lowest concentration of manganese and copper were recorded in spring wheat grain after application of L-alpha prolina +Azotoba vinelandii biological preparations with a dose of mineral nitrogen fertilization of 90 kg N ha.
Blockchain Technology for Combating Deepfake and Protect Video/Image Integrity

Tempered electronic contents have multiplied in last few years, thanks to the emergence of sophisticated artificial intelligence(AI) algorithms. Deepfakes (fake footage, photos, speech, and videos) can be a frightening and destructive phenomenon that has the capacity to distort the facts and hamper reputation by presenting a fake reality. Evidence of ownership or authentication of digital material is crucial for combating the fabricated content influx we are facing today. Current solutions lack the capacity to track digital media's history and provenance. Due to the rise of misrepresentation created by technologies like deepfake, detection algorithms are required to verify the integrity of digital content. Many real-world scenarios have been claimed to benefit from blockchain's authentication capabilities. Despite the scattered efforts surrounding such remedies, relatively little research has been undertaken to discover where blockchain technology can be used to tackle the deepfake problem. Latest blockchain based innovations such as Smart Contract, Hyperledger fabric can play a vital role against the manipulation of digital content. The goal of this paper is to summarize and discuss the ongoing researches related to blockchain’s capabilities to protect digital content authentication. We have also suggested a blockchain (smart contract) dependent framework that can keep the data integrity of original content and thus prevent deepfake. This study also aims at discussing how blockchain technology can be used more effectively in deepfake prevention as well as highlight the current state of deepfake video detection research, including the generating process, various detection algorithms, and existing benchmarks.
Generation Y Expectations for the Location of Web Objects

This study examined the expectations among Generation Y (Gen Y) individuals (age 18-31) regarding the location of specific objects on a webpage. The Web objects were obtain from previous studies with additional common identified: logo, site title, login, search engine, internal links, external links, language selection, content, calendar and advertisements. The results found that Gen Y expectations regarding the location of these Web objects were not significantly different from the expectations among other age groups except in relation to two objects, namely, external links and advertisements. This study may help the web developers and the managers to improve the usability of web user interface especially targeting this Gen Y group as target market.
Relationships between Organizational Culture and Performance in Estonian Schools with Regard to Their Size and Location

Abstract Organizational culture (henceforth referred to as OC) expresses to what extent the members of organization are willing to support each other and also the goals and development of their organization. Previous research has shown that OC has a considerable influence on employees behavior and work results. The aim of the article is to explore the relationships between the OC estimations and actual school performance vis-à-vis the size and location of Estonian secondary schools. The empirical study (n = 558) was conducted in years 2003–2006 among the personnel of 60 Estonian secondary schools. The sample included representatives of school administration, teachers and support personnel. The OC estimations were measured by the OC questionnaire (Vadi et al., 2002). which reveals task and relationship orientations of OC. For measuring performance. the national examination results were used. The results show that managing and improving of the OC could contribute to the performance of schools.