Miracle-dz/UniFAR-FTUs huggingface dataset:
Pareto-Optimality in Cardinal Hedonic Games

Pareto-optimality and individual rationality are among themost natural requirements in coalition formation. We study classes of hedonic games with cardinal utilities that can be succinctly represented bymeans of complete weighted graphs, namely additively separable (ASHG), fractional (FHG), and modified fractional (MFHG) hedonic games. Each of these can model different aspects of dividing a society into groups. For all classes of games, we give algorithms that find Pareto-optimal partitions under some natural restrictions. While the output is also individually rational for modified fractional hedonic games, combining both notions is NP-hard for symmetric ASHGs and FHGs. In addition, we prove that welfare-optimal and Pareto-optimal partitions coincide for simple, symmetric MFHGs, solving an open problem from Elkind et al. [9]. For general MFHGs, our algorithm returns a 2-approximation to welfare. Interestingly, welfare-optimal partitions in MFHGs only require coalitions of at most three agents.
Explorations of Shape-Changing Haptic Interfaces for Blind and Sighted Pedestrian Navigation

1 Since the 1960s, technologists have worked to develop systems that facilitate independent navigation by vision-impaired (VI) pedestrians. These devices vary in terms of conveyed information and feedback modality. Unfortunately, many such prototypes never progress beyond laboratory testing. Conversely, smartphone-based navigation systems for sighted pedestrians have grown in robustness and capabilities, to the point of now being ubiquitous. How can we leverage the success of sighted navigation technology, which is driven by a larger global market, as a way to progress VI navigation systems? We believe one possibility is to make common devices that benefit both VI and sighted individuals, by providing information in a way that does not distract either user from their tasks or environment. To this end we have developed physical interfaces that eschew visual, audio or vibratory feedback, instead relying on the natural human ability to perceive the shape of a handheld object.
Super edge bimagic harmonious labeling of some Corona graphs

A graph G = (V,E) with p vertices and q edges is said to be edge bimagic harmonious if there exists a bijection f : V ∪E→{1,2,3, . , p+q} such that for each edge xy in E(G), the value of [( f (x)+ f (y))(mod q)+ f (xy)] is equal to the constants k1 or k2, called two distinct magic constants. An edge bimagic harmonious labeling is said to be super edge bimagic harmonious labeling if the graph G has the further property that the vertex labels are 1 to |V |. In this paper we prove that the corona graphs Cn K̄2,Pn K2 and Pn K̄2 are super edge bimagic harmonious graphs.
A framework for strategic intra-and inter-organizational adoption of the blockchain technology (July 2017)

 Abstract —Blockchain is a technology with disruptive, transformative and even revolutionary power [1], but currently its application faces many barriers: technological, governance, organizations and societal [2]. A significant amount of knowledge from both the blockchain and related fields is available, but there is currently no comprehensive application-ready methodology guiding organizations through their blockchain adoption journey. This publication provides a framework based on two fundamental concepts: inclusion of blockchain in current Enterprise Architecture as a requisition of safe and non-disruptive adoption, and coverage of the entire Adoption lifecycle, rooted in dynamic nature of blockchain as an ecosystem technology. Furthermore, this work covers the concepts of Evolutionary and Revolutionary development of blockchain-enabled solution.
Computer Vision Applications and their Ethical Risks in the Global South

We present a study of recent advances in computer vision (CV) research for the Global South to identify the main uses of modern CV and its most signiﬁcant ethical risks in the region. We review 55 research papers and analyze them along three principal dimensions: where the technology was designed, the needs addressed by the technology, and the potential ethical risks arising following deployment. Results suggest: 1) CV is most used in policy planning and surveillance applications, 2) privacy violations is the most likely and most severe risk to arise from modern CV systems designed for the Global South, and 3) researchers from the Global North differ from researchers from the Global South in their uses of CV to solve problems in the Global South. Results of our risk analysis also differ from previous work on CV risk perception in the West, suggesting locality to be a critical component of each risk’s importance.
The association between cervical lordosis and age, sex, history of cervical trauma and sedentarity: A CT study

Purpose: We evaluated the association between cervical lordosis and age, sex, sedentarity, and history of cervical trauma. Methods: CT scans of 206 individuals, 111 with and 95 without a history of cervical trauma were divided into three age groups (18-39, 40-59 and 60+ years). The cervical lordosis measurements [C0-C7 (total), C0-C3 (upper), C2-C7 (mid-lower), and C3-C7 (lower)] were obtained from CT scans using the Cobb method. Results: A history of cervical trauma was associated with total and mid-lower cervical lordosis, indicating a reduction of the lordosis compared to the group with no history of cervical trauma. Significant sex differences in the non-trauma group were found only in the young (20-39) and intermediate (40-59) age groups with males exhibiting greater lordosis angles than females. Older females, without a history of cervical trauma, had greater mid-lower and lower cervical lordosis than younger females. Sedentary work predicted the magnitude of the upper cervical lordosis. Subjects working in a sedentary position develop forward head posture, which may eventually advance to head and neck pain.
The Manipulability of Centrality Measures-An Axiomatic Approach

Centrality measures are among the most fundamental tools for social network analysis. Since network data is often incomplete, erroneous, or otherwise manipulated, increasing attention has recently been paid to studying the sensitivity of centrality measures to such distortions. However, thus far no universal method of quantifying the manipulability of centrality measures has been proposed. To bridge this gap in the literature, we take an axiomatic approach. In particular, we introduce a set of intuitive axioms that characterize such a measure, and prove that there exists only one solution that satisfies them. Next, building upon this measure, we quantify the manipulability of the most fundamental centrality measures.
Population changes and breeding ecology of the Cirl Bunting Emberiza cirlus in eastern Spain

The number of Cirl Bunting Emberiza cirlus breeding pairs was recorded from 1976 to 1993 in orange plantations in eastern Spain, and some aspects of the breeding ecology of this species were studied from 1989 to 1993. Breeding densities varied from 0.6 to 10.1 pairs per 10 ha, being highest during the last 5 years. Breeding density each year was positively correlated with rainfall during the previous December–March period, but not to winter temperatures. The mean laying date was 17 April, and between-year variation was almost entirely determined (97% of the variation) by rainfall during December–March. The last clutches were laid by early July. Mean clutch size was 3.5 eggs. Clutch size increased during the first part of the season and then declined. About half of the nests were successful and half of the eggs laid produced fledglings. Predation accounted for most (35%) of the individual losses and was heavier early in the season. A logistic model was fitted to the weight data of the nestlings. Growth rat.
Evaluation of Toxicants for the Control of Carp and other Nuisance Fishes

Abstract The eradication of undesirable organisms from lakes and streams began more than 80 years ago and has accelerated during the last 40 years as toxicants and technology have improved. The control of nuisance or undesired fish populations is a continuing need, and common carp, Cyprinus carpio, are often the target of reclamation projects. Rotenone is a registered toxicant that can be effective for control of carp, but is thought to be too expensive by some fish managers. Antimycin is also highly toxic to carp and selectively kills some other undesirable species, but is ineffective at high pH, in limited supply, and in jeopardy for reregistration. Several other toxicants have been identified, but not developed. Salicylanilide I is highly toxic to all fish species, contains no molecules or functional groups that seem to cause oncogenicity, and is detectable by analytical methods. The selectivity of GD-174 to carp was demonstrated in the laboratory and in small ponds, but not in the field. Baythroid was.
The Correlation between CMV Infection and Hypertension in Iraqi Patients

In order to study the correlation between CMV infection and increase in blood pressure among Iraqi patients, 201 blood samples were collected including; 88 male, 113 female hypertensive patients and 40 control samples. Patients sera were grouped into patients who are under medication (T), and patients who do not take any treatment for hypertension(NT). Samples were tested for CMV-IgM/IgG by ELISA, renin enzyme and interleukin-6(IL-6) levels were determined by ELISA too. The optical density readings difference for CMV-IgG were significant between (T) and (NT) groups as well as when each group compared to control, level of renin enzyme showed significant difference between patients group(T and NT) and between each group compared to the control, (135 ± 98), (201 ± 102) and (130 ± 90) respectively, while IL-6 level was not significant either between the groups nor within the group. Furthermore, there was a positive correlation between the optical density readings of (NT) group for CMV-IgG and renin enzyme level with the systolic and diastolic blood pressure with r-value ranged (0.4-0.6). This study may high light on the role of previous infection or re-infection by CMV and increase in blood pressure.
Towards Multiple Enhancement Styles Generation in Mammography

Mammography is a well-established imaging modality for early detection and diagnosis of breast cancer. The raw detector-obtained mammograms are difﬁcult for radiologists to diagnose due to the similarity between normal tissues and potential lesions in the attenuation level and thus mammo-gram enhancement (ME) is signiﬁcantly necessary. However, the enhanced mammograms obtained with different mammography devices can be diverse in visualization due to different enhancement algorithms adopted in these mammography devices. Different styles of enhanced mammograms can provide different information of breast tissue and lesion, which might help radiologists to screen breast cancer better. In this paper, we present a deep learning (DL) framework to achieve multiple enhancement styles generation for mammogram enhancement. The presented DL framework is denoted as DL-ME for simplicity. Speciﬁcally, the presented DL-ME is implemented with a multi-scale cascaded residual convolutional neural network (MSC-ResNet), in which the output in the coarser scale is used as a part of inputs in the ﬁner scale to achieve optimal ME performance. In addition, a switch map is input into the DL-ME model to control the enhancement style of the outputs. To reveal the multiple enhancement styles generation ability of DL-ME for mammograms, clinical mammographic data from mammography devices of three different manufacturers are used in the work. The results show that the quality of the mammograms generated by our framework can reach the level of clinical diagnosis and enhanced mammograms with different styles can provide more information, which can help radiologists to efﬁciently screen breast cancers.
A Qualitative Investigation of a Guilt Trip

Research consistently indicates guilt is adaptive in relationships. Yet, guilt can also be used as a manipulative tactic. Little is known about the nature of a guilt trip, which is when someone imposes guilt onto someone else. Six participants were recruited via convenience sampling to be interviewed on their experience of guilt tripping someone and being a victim of a guilt trip. Thematic analysis established a definition of a guilt trip and types of guilt trip (“tongue and cheek”, moral education, and side effect). The findings suggest that, while guilt can be adaptive, it was viewed as an unhealthy relationship tactic when imposed on by someone else. Further research should explore the complexity of guilt in relationships.
RelationshipsbetweenFusarium populationstructure, soil nutrient status anddisease incidence in¢eld-grownasparagus

status anddisease incidence in¢eld-grownasparagus Etienne Yergeau, David W. Sommerville, Emilie Maheux, Vladimir Vujanovic, Chantal Hamel, Joann K. Whalen & Marc St-Arnaud Institut de recherche en biologie végétale, Université de Montréal and Jardin botanique de Montréal, Montréal, QC, Canada; Natural Resource Sciences, Macdonald Campus of McGill University, Ste-Anne-de-Bellevue, QC, Canada; Department of Applied Microbiology & Food Science, University of Saskatchewan, Saskatoon, SK, Canada; and Environmental Health/ Water and Nutrients, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
Stress Based Forming Limit

Metal forming processes is finding increasing acceptance as a manufacturing process for various engineering components. In need of higher performance and due to economic and ecological reasons, lightweight construction is the key factor to success, mainly not only in the transportation sector, but also in general engineering, machine tools and architecture. This seminar is deals with the stress based forming limit diagram. With the use of forming limit diagram one can predict the ability of metal to form in various shapes. Here in this seminar comparison between strain and stress based diagram is done. And in addition with this, finding the advantage of stress based FLD to Strain based FLD. In processes like Hydroforming and flanging or multistage processes the stress based forming limit diagram is given better prediction of onset of necking compare to strain based forming limit diagram. In case of tube Hydroforming of the square cross section extended stress based forming limit diagram is introduced.
Economic Analysis of Transmission with Demand Response and Quadratic Losses by Successive LP

The growth of demand response programs and renewable generation is changing the economics of transmission. Planners and regulators require tools to address the implications of possible technology, policy, and economic developments for the optimal configuration of transmission grids. We propose a model for economic evaluation and optimization of interregional transmission expansion as well as the optimal response of generators’ investments to locational incentives, that accounts for Kirchhoff’s laws and three important nonlinearities. One is consumer response to energy prices, modeled using elastic demand functions. The second is resistance losses. The third is the product of line susceptance and flows in the linearized DC load flow model. We develop a practical method combining Successive Linear Programming with Gauss-Seidel iteration to co-optimize AC and DC transmission and generation capacities in a linearized DC network while considering hundreds of hourly realizations of renewable supply and load. We test our approach for a European electricity market model including 32 countries. The examples indicate that demand response can be a valuable resource that can significantly affect the economics, location, and amounts of transmission and generation investments and that the representation of losses and Kirchhoff’s laws are also important in transmission policy analyses.
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial

Schizophrenia is a severe psychiatric disorder. We use the CrossCheck study dataset to develop methods to predict whether or not a patient with schizophrenia is going to relapse from mobile phone data. Out of 75 patients in the year long randomized controlled trial only 27 relapse episodes occur. We apply various techniques to address predicting rare events in a longitudinal dataset. We apply resampling methods combining oversampling relapse examples and undersampling non-relapse examples and impute missing data. To avoid overfitting, we apply feature selection and transformation (i.e., PCA) to reduce the feature dimensionality. We find the best relapse prediction result using the first 100 principal components from both passive sensing and self-reports with 30-day prediction windows (precision=26.8%, recall=28.4%). If we demand the recall to be greater than 50%, we find the best result using 25 principle components from both passive sensing and self-reports with 30-day prediction windows (precision=15.4%, recall=51.6%).
TVARAK: Software-Managed Hardware Offload for Redundancy in Direct-Access NVM Storage

Production storage systems complement device-level ECC (which covers media errors) with system-checksums and cross-device parity. This system-level redundancy enables systems to detect and recover from data corruption due to device firmware bugs (e.g., reading data from the wrong physical location). Direct access to NVM penalizes software-only implementations of system-level redundancy, forcing a choice between lack of data protection or significant performance penalties. We propose to offload the update and verification of system-level redundancy to TVARAK, a new hardware controller co-located with the last-level cache. TVARAK enables efficient protection of data from such bugs in memory controller and NVM DIMM firmware. Simulation-based evaluation with seven data-intensive applications shows that TVARAK is efficient. For example, TVARAK reduces Redis set-only performance by only 3%, compared to 50% reduction for a state-of-the-art software-only approach.
Genotypic Variation in Promotion of Rice Dinitrogen Fixation as Determined by Nitrogen‐15 Dilution

Rice (Oryza saliva L.) genotypes capable of stimulating associative N 2 fixation (NFS) are desirable to reduce dependence on fertilizer N. A pot experiment was conducted during the 1993 dry season to assess differences in NFS among 70 genotypes of diverse origin and growth duration and to validate the use of 15 N enrichment of mineralized soil N as reference for N 2 fixation measurement. The soil used had a stable 15 N enrichment that was obtained by incubating and frequent mixing with ( 15 NH 4 ) 2 SO 4 (6.3 kg N ha -1 ) in submerged condition for 6 wk. The 15 N enrichment of soil NH 4 + -N dropped exponentially, showing an initial rapid decline to half of the original level within 2 wk, followed by a slower, nonsignificant rate of decline after 5 wk. Whole plant 15 N atom % excess was inversely correlated with growth duration and ranged from 1.78 in Oking Seroni (late genotype) to 2.45 in PTA-18 (early genotype). It was, therefore, necessary to compare NFS among genotypes of the same growth duration. Enrichment was lowest in the roots, suggesting this as the site of active N 2 fixation; it was highest in the shoot and intermediate in grain. Nitrogen derived from air (Ndfa) estimated using 15 N enrichments of mineralized soil N and reference rice genotype correlated highly (r = + 0.0.998**). Percentage Ndfa ranged from 1.5 to 21.0, with an average of 10.2. Yelsulbyeo, Pankaj, and Oking Seroni had the highest Ndfa among early, medium, and long growth duration genotypes, respectively. Genotypes with high Ndfa, grain yield, and N uptake are Oking Seroni, IR29337-36-3, OR-142-99, and Pankaj.
Rapamycin‐mediated induction of γ‐globin mRNA accumulation in human erythroid cells

The present study aimed to determine whether rapamycin could increase the expression of γ‐globin genes in human erythroid cells. Rapamycin is a macrocyclic lactone that possesses immunosuppressive, antifungal and anti‐tumour properties. This molecule is approved as an immunosuppressive agent for preventing rejection in patients receiving organ transplantation. To verify the activity of rapamycin, we employed two experimental cell systems, the human leukaemia K562 cell line and the two‐phase liquid culture of human erythroid progenitors isolated from normal donors and patients with β‐thalassaemia. The results suggested that rapamycin, when compared with cytosine arabinoside, mithramycin and cisplatin, is a powerful inducer of erythroid differentiation and γ‐globin mRNA accumulation in human leukaemia K562 cells. In addition, when normal human erythroid precursors were cultured in the presence of rapamycin, γ‐globin mRNA accumulation and fetal haemoglobin (HbF) production increased to levels that were higher than those obtained using hydroxyurea. These effects were not associated with inhibition of cell growth. Furthermore, rapamycin was found to increase HbF content in erythroid precursor cells from four β‐thalassaemia patients. These results could have practical relevance, because pharmacologically mediated regulation of the expression of human γ‐globin genes, leading to increased HbF, is considered a potential therapeutic approach in haematological disorders, including β‐thalassaemia and sickle cell anaemia.
Using Cognitive Models to Train Big Data Models with Small Data

Modeling and predicting human behavior pose a difficult challenge for AI and other related fields. Some current techniques (e.g., cognitive architectures) are able to model people’s goals and actions from little data, but have poor predictive capabilities. Other methods (e.g., deep networks) have strong predictive capabilities but require large amounts of data to train the model; such abundant empirical data on human performance is not available for many human-based tasks. We show a novel and general method of generating copious synthetic data of human behavior using a cognitive architecture, and then use the data to train a deep network classifier to predict ensuing human actions. We test our approach by predicting human actions on a supervisory control task; the results show that our approach provides superior prediction when compared to training a classifier with only (limited) empirical data.
BEHAVIOURAL ASPECTS OF THE ECOLOGY OF PERINGIA (=HYDROBIA) ULVAE (PENNANT) (GASTEROPODA, PROSOBRANCHIA)

Many workers have reported that the adult population of the small prosobranch Peringia (=Hydrobia) ulvae reaches its maximum density on muddy-sandy shores in a broad belt at approximately mid-tide level. Yet it has also been reported that some float for at least part of the tidal cycle and at low tide burrow in the sand. Experiments in the laboratory and observations on the shore suggest that under natural conditions the animals float on the surface film of the water by means of a mucoua raft, which also acts as a food net. After a time, which is geared to the tidal oscillation, they submerge at mid-tide level. When the tide has receded, the animals crawl about on the surface of the mud then burrow in the sand for several hours, resurface, and launch themselves on the surface film of the water between the ripple marks. By this time the tide is approaching mid-tide level again and the cycle of behaviour is completed. Thus these animals, formerly regarded as mainly benthonic, spend part of their time as pelagic plankton feeders.