Miracle-dz/UniFAR-FTUs huggingface dataset:
Complexity of Sequential Rules in Judgment Aggregation

The task in judgment aggregation is to ﬁnd a collective judgment set based on the views of individual judges about a given set of propositional formulas. One way of guaranteeing consistent outcomes is the use of sequential rules. In each round, the decision on a single formula is made either because the outcome is entailed by the already obtained judgment set, or, if this is not the case, by some underlying rule, e
Dissociation between 2-[18F] uoro-2-deoxy-D- glucose Positron Emission Computer Tomography, Ultrasound and Clinical Assessments in Patients with non-severe Rheumatoid Arthritis including Remission

Charline Rinkin (  c.rinkin@chuliege.be ) Centre Hospitalier Universitaire De Liege https://orcid.org/0000-0003-2243-6799 Pacôme Fosse Centre Hospitalier Universitaire d'Angers Olivier Malaise Centre Hospitalier Universitaire De Liege Nathalie Chapelier Centre Hospitalier Universitaire De Liege Jil Horrion Centre Hospitalier Universitaire De Liege Laurence Seidel Centre Hospitalier Universitaire De Liege Albert Adelin Centre Hospitalier Universitaire De Liege Roland Hustinx Centre Hospitalier Universitaire De Liege Michel G. Malaise Centre Hospitalier Universitaire De Liege
Error structures of ceramic assemblages

It has long been appreciated that useful archaeological information can be obtained by a quantitative approach to ceramics, and in particular to the comparison of assemblages. Such information has proved valuable in chronological studies, especially seriation (e.g. Millett 1979a), spatial analysis (e.g. Fulford & Hodder 1974), and functional/social analysis (e.g. Redman 1979). Related statistics have proved useful in the study of site formation processes (Schiffer 1987, p. 282-5). However, there is no consensus as to how ceramic assemblages should be quantified. Over the years, four main contenders for the role of the variable by which to quantify pottery (here called the measure of quantity) have emerged. They are:
Développement de charbon actif à partir de biomasses lignocellulosiques pour des applications dans le traitement de l'eau

L'objectif de ce travail est d'elaborer, de caracteriser et d'evaluer les performances de nouveaux types de charbons actifs (CAs) a partir de biomasses disponibles localement telles que le bois de jatropha, les coques de jatropha, les coques d'arachides et les coques de noix de coco. La methode d'elaboration etudiee est l'activation chimique par H3PO4, KOH ainsi que par des precurseurs de fer dans le but de former des particules magnetiques dans la structure poreuse du charbon actif. Les performances des charbons actifs synthetises sont evaluees pour l'elimination de metaux lourds (chrome VI), de colorants (bleu de methylene) et de pesticides (diuron). Les resultats obtenus demontrent que la temperature de pyrolyse, la vitesse de chauffe, la nature de la biomasse ainsi que le type d'agent activant impactent les caracteristiques des charbons prepares a partir des coques d'arachide, coques de jatropha, noix de coco et du bois de jatropha. Les conditions d'activation optimisees dependent de la nature de la biomasse, et les charbons actifs prepares ont des surfaces specifiques SBET allant jusqu'a 1305m²/g pourles CAs issus de bois de jatropha actives avec du KOH et a 751m²/g pour les CAs issus de coques d'arachide activees avec du H3PO4, dans. Les charbons actifs ferromagnetiques synthetises presentent une texture entierement microporeuse et des proprietes magnetiques interessantes dues aux nanoparticules formees pendant la pyrolyse de la biomasse impregnee avec sels de fer etudies. Ces charbons sont facilement recuperables en milieu aqueux par separation magnetique a l'aide d'un electro-aimant sous un champ magnetique de 156 mT. Les charbons actifs prepares a partir de bois de jatropha, de coque d'arachide et de bois de jatropha ont des textures microporeuses et mesoporeuses qui se sont revelees favorables a la decoloration totale du bleu de methylene et l'elimination des ions de chrome VI et du durion en solution aqueuse. Le CA prepare a partir du bois de jatropha s'est revele particulierement performant pour l'adsorption du chrome VI et apparait comme un materiau tres prometteur pour le traitement a moindre cout des eaux usees contenant du chrome dans la mesure ou les charbons sont faciles a preparer, proviennent de matieres vegetales largement disponibles a faibles couts. (Resume d'auteur)
Clinicopathological and prognostic significance of osteopontin expression in 1 patients with prostate cancer : a systematic review and meta-analysis 2

20 Background: Evaluation of the feasibility for osteopontin (OPN) to serve as a biomarker in the prognosis and 21 clinical-pathological features of prostate cancer patients. 22 Methods: The original publications related to osteopontin and prostate cancer were comprehensively searched 23 in the online databases, including PubMed, Embase, Cochrane Library, Web of Science, Medline, Wanfang 24 and China National Knowledge Infrastructure up to August 2019. Results were analyzed by Revman 5.3 and 25 Stata 12.0. 26 Results: A total of 21 studies were included in the analysis and the result showed that the positive OPN 27 expression group had a lower overall survival than the negative expression group (univariate: HR=2.32, 28 95%CI [1.74, 3.10], multivariate: HR=2.41, 95%CI [1.63, 3.57]) and a lower biochemical relapse-free survival 29 than the negative group (univariate: HR=1.42, 95%CI [0.92, 2.17], multivariate: HR=1.61, 95%CI [1.39, 30 1.87]). In addition, there was a higher expression level of OPN in prostate cancer tissues than in normal 31 prostate tissues (OR=46.55, 95%CI [12.85, 168.59], P<0.00001) and benign prostatic hyperplasia tissues 32 (OR=11.07, 95%CI [3.43, 35.75], P<0.0001). Moreover, OPN positive expression was also related to high 33 Gleason score (OR=2.64, 95%CI [1.49, 4.70], P=0.0009), high TNM stage (OR=3.15, 95%CI [1.60, 6.20, 34 P=0.0009), high Whitmore-Jewett stage (OR=2.53, 95%CI [1.06, 6.03], P=0.04), high lymph node (OR=3.69, 35 95%CI [1.88, 7.23], P=0.0001), and distant metastasis (OR=8.10, 95%CI [2.94, 22.35], P=0.01). There was 36 no difference observed in the differentiation of prostate cancer (OR=1.79, 95%CI [0.39, 8.33], P=0.46). 37 Conclusion: Osteopontin could be recognized as a promising diagnostic and prognostic biomarker for prostate 38 cancer patients. 39
ON MODERATE DEVIATIONS FOR MARTINGALES1

Academy of Sciences, Kishinev Let Xn = Xt n t 0≤t≤1 be square integrable martingales with the quadratic characteristics Xn n = 1 2 We prove that the large deviations relation P X1 ≥ r / 1 − r → 1 holds true for r growing to infinity with some rate depending on L2δ = E ∑ 0≤t≤1 Xt 2+2δ and N 2δ = E Xn 1 − 1 1+δ where δ > 0 and L2δ → 0 N 2δ → 0 as n → ∞ The exact bound for the remainder is also obtained.
Reproducibility Report: Neural Networks Fail to Learn Periodic Functions and How to Fix It

The central claims of the paper are two-fold. (1) The properties of the activation functions are carried over to the 6 neural networks. A tanh network will be smooth and extrapolates to a constant function, while ReLU extrapolates in a 7 linear way. Standard neural networks with conventional activation functions are insufficient for extrapolating periodic 8 functions. (2) The proposed activation function manages to learn periodic functions while being able to optimize as 9 well as conventional activation functions. While both experimental proof and theoretical justifications are provided for 10 the claims, we shall only be concerned with testing the claims via experimental means. 11
Using dialogue to contextualize culture, ecosystem services, and cultural ecosystem services

We propose an alternative methodology for engaging with multifaceted cultural ecosystem services (CES) in the Global South. We explore the use of dialogue as a tool for understanding CES in situ, while developing shared action steps toward CES conservation among stakeholders. We held six dialogue workshops in the rural Central Pacific region of Costa Rica that were designed to foster understanding of shared community values for ecosystem services and associated conservation challenges. In two of the workshops, we employed model-based reasoning through which we used maps as boundary negotiating objects to nurture dialogue on CES values, observations, and concerns. In four of the workshops, we used photovoice to elicit reflection and dialogue on CES values and changes in ecosystem services in the region. Observations and surveys of workshop participants revealed that the process engendered reflection on ecosystem service values, and community support and enthusiasm for future communal efforts. These workshops demonstrated how dialogue can elucidate local values for CES, while strengthening support across stakeholders for improved conservation actions. We propose that this methodology is applicable in various contexts for improved CES assessment across diverse stakeholders.
Vocational Education Students’ Perception of Entrepreneurship Education Skills as Prognosticators of Business Start-Up at Jigawa State Colleges of Education Gumel

The researchers empirically investigated the Vocational education students’ perception of entrepreneurship education skills as prognosticators of business start-up at Jigawa state colleges of education Gumel. In order to investigate this study, the researchers raised two (2) research questions and two (2) hypothesis. Related literature was reviewed and the entrepreneurial event model (EEM) developed by Shapero and Sokol in 1982 was adopted as the conceptual framework for the study. The framework showed at a glance the various stages and processes that eventually climaxed into business formation. The survey design was used in the study. Six hundred and twenty eight (628) vocational education students from Agricultural education, Business education, Fine and Applied Art education, and Home economics education in the college formed the population of the study out of which a sample size of one hundred and fifty seven (157) students were selected using the proportionate stratified random sampling technique. The instrument used for data collection was the questionnaire tittle: Vocational Education Students’ Perception of Entrepreneurship Education Skills Questionnaire (VESPEESQ) and it was divided into two sections – A and B. Section A consists of the demographic information of the respondents while section B consist of thirteen (13) opinion statements structured in a 4-point rating scale. The instrument was validated by experts in the school of secondary education (vocational and technical education programme), Jigawa state college of education, Gumel and the test re-test method of reliability was used in obtaining reliability co-efficient of 0.78. The instrument was administered to the respondents with the help of research assistants and the data collected was subject to statistical analysis. The descriptive and inferential statistical tools were used in analysing the data. The data generated for the study were analyzed using simple percentage, mean and standard deviation to answer the personal data and research questions while the null hypotheses were tested at 0.05 level of significance using t-test with inferential statistic of SPSS version 21. The findings revealed that the respondents have positive perception towards entrepreneurship education. It also revealed that there are challenge plaguing the acquisition of entrepreneurial knowledge and skills such as lack enough practical, lack of adequate facilities etc. Among the recommendations advanced by the researchers was that, there should be conscious efforts by educators to properly transmit the entrepreneurial skills to the learners with ease, practical examples should be included in the lectures, teachers should maintain cordial relationship with
Combined Effects of Midlevel Dry Air and Vertical Wind Shear on Tropical Cyclone Development. Part I: Downdraft Ventilation

This study examines how midlevel dry air and vertical wind shear (VWS) can modulate tropical cyclone (TC) development via downdraft ventilation. A suite of experiments was conducted with different combinations of initial midlevel moisture and VWS. A strong, positive, linear relationship exists between the low-level vertical mass flux in the inner core and TC intensity. The linear increase in vertical mass flux with intensity is not due to an increased strength of upward motions but, instead, is due to an increased areal extent of strong upward motions (w > 0.5 m s−1). This relationship suggests physical processes that could influence the vertical mass flux, such as downdraft ventilation, influence the intensity of a TC. The azimuthal asymmetry and strength of downdraft ventilation is associated with the vertical tilt of the vortex: downdraft ventilation is located cyclonically downstream from the vertical tilt direction and its strength is associated with the magnitude of the vertical tilt. Importantly, equivalent potential temperature of parcels associated with downdraft ventilation trajectories quickly recovers via surface fluxes in the subcloud layer, but the areal extent of strong upward motions is reduced. Altogether, the modulating effects of downdraft ventilation on TC development are the downward transport of low–equivalent potential temperature, negative-buoyancy air left of shear and into the upshear semicircle, as well as low-level radial outflow upshear, which aid in reducing the areal extent of strong upward motions, thereby reducing the vertical mass flux in the inner core, and stunting TC development.
Impact of weather parameters on the population dynamics of fruit flies (Tephritidae: Diptera) in mango orchard of Krishnagiri district, Tamil Nadu, India

Population dynamics of the Tephritid fruit flies-Bactrocera dorsalis Hendel and Bactrocera correcta Bezzi were studied in mango ecosystem at Gangaleri location in Krishnagiri district of Tamil Nadu during January to December 2018. The relationship of weather factors to population fluctuation of adult fruit flies in mango orchard was assessed in trap catches at fortnight intervals in fixed locations. The populations of B. dorsalis started increasing from first fortnight of April (12.5 flies/ trap/ fortnight) and reached the first peak (96.0 flies/ trap/ fortnight) in the second fortnight of June. Thereafter B. dorsalis catches gradually declined (with 77.5 flies/ trap/ fortnight) from first fortnight of July and reaching the lowest level (of 3.00 flies/ trap/ fortnight) during second fortnight of December. While the relative population of B. correcta was lower, it started increasing from first fortnight of April (from 3.0 flies/ trap/ fortnight) to also reach the first peak in second fortnight of June (13.5 flies/ trap/ fortnight),whereafter the catches declined from first fortnight of July (7.0 flies/ trap/ fortnight) with the catches reaching the lowest level (0.5 fruit flies/ trap/ fortnight) during second fortnight of December. Correlation studies with weather parameters showed that they together tended to influence the trap catches of B. dorsalis to an extent of 46 per cent, whereas catches of B. correcta were apparently not correlated with weather factors. The potential utility of these results in local fruit fly management is indicated.
Job Satisfaction of Midwives in the Context of a Midwife-Led Project – A Repeat Measure Mixed Methods Study

Background: Job satisfaction of midwives is important to prevent skill shortage. Those working in midwife-led models of care were more satisfied than those working in standard care. Job satisfaction in the context of a midwife-led project was not researched previously. The aim of this study was to investigate job satisfaction before and after the implementation of a midwife-led intervention.Methods: Longitudinal observational study at three time points using quantitative and qualitative methods. A total of 43 midwives working in the labour ward participated in the online surveys and 5-7 in the focus group discussions. The surveys comprised questions from validated instruments. Descriptive and multivariable time series analysis were used for quantitative and content analysis for qualitative data.Results: Adjusted predicted scores decreased between t0 and t1 and subsequently increased at t2 without reaching baseline values (e.g ‘professional support subscales’: between t0 and t1: (0.65, 95% CI [0.45, 0.86] versus 0.26, 95% CI [0.08, 0.45], p=0.005) and t0 and t2 (0.65, 95% CI [0.45, 0.86] versus 0.29, 95% CI [0.12, 0.47], p=0.004). Focus group discussions revealed three themes: “Job satisfaction”, “Challenges with the implementation” and “Continuity of care”. Midwives perceived the additional tasks as stressors. Conclusion: The implementation of new interventions might increase work related stress and decrease job satisfaction in an early phase. This effect was stronger than the one of acquiring more autonomy and responsibility. Heads of institutions and policy makers should recognise the needs of support and additional resources for staff when planning new projects.
Optimizing ANN Architecture using Mixed-Integer Programming

Over-parameterized networks, where the number of parameters surpass the number of training samples, generalize well on various tasks. However, large networks are computationally expensive in terms of the training and inference time. Furthermore, the lottery ticket hypothesis states that a subnetwork of a randomly initialized network can achieve marginal loss after training on a specific task compared to the original network. Therefore, there is a need to optimize the inference and training time, and a potential for more compact neural architectures. We introduce a novel approach “Optimizing ANN Architectures using Mixed-Integer Programming” (OAMIP) to find these subnetworks by identifying critical neurons and removing non-critical ones, resulting in a faster inference time. The proposed OAMIP utilizes a Mixed-Integer Program (MIP) for assigning importance scores to each neuron in deep neural network architectures. Our MIP is guided by the impact on the main learning task of the network when simultaneously pruning subsets of neurons. In concrete, the optimization of the objective function drives the solver to minimize the number of neurons, to limit the network to critical neurons, i.e., with high importance score, that need to be kept for maintaining the overall accuracy of the trained neural network. Further, the proposed formulation generalizes the recently considered lottery ticket hypothesis by identifying multiple “lucky” subnetworks, resulting in optimized architectures, that not only perform well on a single dataset, but also generalize across multiple ones upon retraining of network weights. Finally, we present a scalable implementation of our method by decoupling the importance scores across layers using auxiliary networks and across different classes. We demonstrate the ability of OAMIP to prune neural networks with marginal loss in accuracy and generalizability on popular datasets and architectures.
Evaluation of some agricultural wastes for the cultivation of edible mushrooms (Pleurotus Ostreatus var. Salignus)

Soybean and lentil straw were used as culture media for Pleurotus ostreatus var salignus. As additive substance, 15, 30 and 60 g doses of lentil straw were added to 100 g soybean to obtain different rates in the culture medium. The N% in composite dry weight were 0.5 for control group and 0.60, 0.75 and 0.92 in 15, 30 and 60 g doses of lentil straw, respectively. The effect of different doses of lentil straw on harvesting time was not statistically significant as to control group (p<0.05). The first and total shortest harvesting period in 60 g dose was obtained in 28.5 and 60.4 days, respectively. The highest total fresh yield per 1000 g of material (70% moisture) was 247 5 g in 15 g dose, while the lowest yield was 209.5 g in control group. The dry weight of the product obtained in the experimental group was found to be 10%. The % protein contents (N x 6.25) were 31.68 for control and 31.25, 51.87 and 46.87 for 15, 30 and 60 g doses, respectively.
Effect of sulphur and zinc on yield and uptake of nutrients by mustard (Brassica spp. L.) under rainfed condition

Fields experiments were conducted for two years (2013-14 and 2014-15) with mustard (Brassica spp. L.) as a test crop under rainfed conditions on sandy loam soils with 5 levels of sulphur (0, 15, 30, 45 and 60 kg ha) and 4 levels of zinc (0, 2.5, 5.0 and 7.5 kg ha) in Factorial randomized block design with three replications. Seed and stover yield increased significantly up to 45 kg S ha and 5.0 kg Zn ha application. Application of 30 kg S ha increased the seed yield by 51.4 and 28.4% in 2013-14 and 55.3 and 27.5% in 2014-15 over control and 15 kg S ha, respectively. Nitrogen, phosphorus, potassium, sulphur and zinc uptake by seed and stover significantly up to 45 kg S ha and 5.0 kg Zn ha application.
Visualising the Transition of Large Networks via Dimensionality Reduction to Illustrate the Evolution of the Human Brain

Advances in high-throughput imaging techniques enable the creation of networks depicting spatio-temporal biological and neurophysiological processes with unprecedented size and magnitude. These networks involve thousands of nodes, which can not be compared over time by traditional methods due to complexity and clutter. When investigating networks over multiple time steps, a crucial question for the visualisation research community becomes apparent: How to visually trace changes of the connectivity over several transitions? Therefore, we developed an easy-to-use method that maps multiple networks to a common embedding space. Visualising the distribution of node-clusters of interest (e.g. brain regions) enables their tracing over time. We demonstrate this approach by visualizing spatial co-evolution networks of different evolutionary timepoints as small multiples to investigate how the human brain genetically and functionally evolved over the mammalian lineage.
The societal impact of political science research at Örebro University – three case studies

As part of developing a new model for evaluating the quality and impact of research in Sweden, the Swedish Research Council conducted a pilot-study of the research subject political science in 2020. As part of the pilot, the political science departments at Swedish universities were instructed to present case studies of the societal impact of their research. The cases were to function as “good examples” to facilitate learning and development. The three cases reported here were submitted by the political science department at Örebro University in the Spring of 2020.
An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces

This paper addresses modeling and simulating pedestrian trajectories when interacting with an autonomous vehicle in a shared space. Pedestrian motion models integrating pedestrians interactions with an autonomous vehicle already exist. However, they fail to accurately predict the individual trajectory of each pedestrian, and they do not deal with the diversity of possible pedestrian interactions with the vehicle in a shared space (front, back or lateral). Moreover, previous works do not sufficiently provide a quantitative evaluation of the model’s predictions. In this paper, we propose an hybrid pedestrian model that combines the social force model and a new decision model for conflicting pedestrian-vehicle interactions. The proposed model integrates different observed pedestrians behaviors, as well as the behaviors of the social groups of pedestrians. We validate the model and evaluate its predictive potential through qualitative and quantitative comparisons with ground truth trajectories. The proposed model reproduces observed behaviors that have not been replicated by the social force model and outperforms the social force model at predicting pedestrians trajectories on the used dataset. This model will be used by an autonomous vehicle in a shared space to predict the trajectories of surrounding pedestrians.