Miracle-dz/UniFAR-FTUs huggingface dataset:
Service Outages Prediction through Logs and Tickets Analysis

Service outage or downtime is a growing challenge to the service providers and end users. The major cause for the unavailability firstly is failure of equipments and applications at various places and secondly failure for proactive diagnosis and rectification. The system activities that are logged and the response of customers and providers in the form of trouble tickets could be studied for minimizing network faults. The downtime can be reduced when the failures are predicted well in time and proactively corrected. Accurate prediction of faults helps in responding to downtime even before the customer tickets are raised or network trouble is encountered. Most of the research focuses on trouble shooting through forecasting the quantity of trouble tickets using the historical ones. If these tickets can be supported with the warning in the form of Syslogs and the technical support of network tickets the predictive models would be more efficient and accurate. Dynamic and truly adaptive machine learning algorithms are essentially required for processing the torrent of data and formulating predictions based on the trends and the patterns existing in it. The work refers to i) identifying number of trouble tickets that are related to the device a few days before the network component fails, ii) predicting fault will occur in broadband networks. Lasso and Ridge regression are used for the first and Bayesian structural time series analysis and prophet are used for the latter. Keywords—Failure prediction; linear regression technique; network fault prediction; lasso; ridge regression; Bayesian structural time series; prophet
Quantum Wave-function Collapse Discovered Inside-Out

We present a beam-split coincidence test of the photon model, previously done with visible light, now performed for the first time with gamma-rays. A similar new test is presented using alpha-rays. In both tests, coincidence rates greatly exceed chance, revealing the flaw of quantum mechanics (QM). A newly formulated threshold model predicted this flaw of QM. We use our threshold model to derive equations for effects thought to require conventional quantization. Conventional quantization denies sub-quantum states that are allowed by the threshold model. Our threshold model embraces Planck's second theory of 1911, where he used h as a maximum. We extended Planck's theory by similarly treating e and m so that all three constants of the electron (h, e, m, for action, charge, mass respectively) are realized as maximum threshold-constants. We then use ratios of those constants, like e/m = Qe/m , for the spreading wave. By quantizing the Q's and thresholding h, e, and m, a matter-wave can spread and load to a threshold upon absorption. Therefore, wave-function collapse is avoided. The quantum disconuity is still present. However our two-for-one effect in our experiments identify a pre-loaded state. Such a pre-loaded state reveals that a loading to a threshold is at play instead of a spooky wave-function collapse. We also identify several false assumptions that made any alternative to QM doomed to fail in experiments designed to reveal the distinction. The difficulty of realizing an experimental distinction between an inside-out threshold and quantization is why quantum mechanics maintained such a strong illusion. ER 5, 21,
Indian Himalayan Timberline Ecotone in Response to Climate Change – Initial Findings

S. P. Singh*, A. Bhattacharyya, Amit Mittal, Aseesh Pandey, Ashish Tewari, Avantika Latwal, Bency David, Bhupendra S. Adhikari, Devendra Kumar, G. C. S. Negi, Ishfaq Ahmad Mir, Krishna Kumar Tamta, Kumar Sambhav, Mayank Shekhar, Mohit Phulara, Munisa Manzoor, Nandan Singh, Pankaj Tewari, Parminder S. Ranhotra, Pradeep Singh, Pratap Dhaila, Priyanka Sah, Rahul Kumar, Rajesh Joshi, Ranbeer S. Rawal, Renu Rawal, Ripu Daman Singh, Shruti Shah, Subrat Sharma, Subzar Ahmad Nanda, Surabhi Gumber, Utsa Singh and Zafar Reshi Central Himalayan Environment Association, 6 Waldorf Compound, Mallital, Nainital 263 001, India Birbal Sahni Institute of Palaeosciences, 53, University Road, Lucknow 226 007, India Department of Forestry and Environmental Science, D.S. B. Campus, Kumaun University, Nainital 263 001, India G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Sikkim Regional Centre, Pangthang, Gangtok 737 101, India G. B. Pant National Institute of Himalayan Environment and Sustainable Development (GBPNIHESD), Kosi-Katramal, Almora 263 643, India Department of Habitat Ecology, Wildlife Institute of India, P.O. Box 18, Chandrabani, Dehradun 248 001, India Department of Botany, University of Kashmir, Srinagar 190 006, India
Cognitive Functioning and Life Quality of the Elderly: ACross-sectional Study

BACKGROUND: According to the Gerontological Health Statistics for Croatia, the number of elderly people in Croatia is increasingly growing. The UN classification ranks the Republic of Croatia as the country which belongs to group four of the European countries with elderly population. AIM: The aim of this paper is to examine cognitive functioning and life quality of the elderly. SUBJECTS AND METHODS: A total of 156 participants took part in the study. The cross-sectional study was conducted from March 2016 to October 2016 in the Osječko-baranjska County, Croatia. The World Health Organization quality of life (QOL)-BREF scale was used to test the QOL; cognitive functioning was tested using minimental state examination (MMSE) questionnaire. RESULTS: A total of 156 subjects were tested during the study. The MMSE questionnaire for cognitive abilities and dementia assessment: 83 (53%) participants scored 24 or more which indicates a normal result. The participants whose results indicate the presence of disorders also have notably lower life quality in all domains. The participants suffering only from a physical illness exhibit significantly lower values in the environmental domain (Mann–Whitney U-test, p = 0.010) when compared to those suffering both from physical and mental illness whose results show extremely low values in practically all the segments regarding the QOL. The values of the cognitive functioning questionnaire are related to the life quality domains; the strongest connection relates to mental health (Spearman’s rank correlation coefficient Rho = 0.493 p < 0.001) and the weakest connection refers to social functioning. CONCLUSION: After reaching a certain age, the elderly seems to exhibit the lowering in cognitive functioning which consequently reflects on lowering of the life quality as well. The problems regarding the QOL occur as a direct consequence of the gap between the possibilities of the elderly and the demands and conditions set by modern life. Edited by: Sinisa Stojanoski Citation: Kralj-Vasilj M, Mikšić S, Farčić N, Degmenčić D, Miškulin M, Musović K, Barać I. Cognitive Functioning and Life Quality of the Elderly: A Cross-sectional Study. OpenAccess Maced J Med Sci. 2020 Apr 24; 8(E):284-290. https://doi.org/10.3889/oamjms.2020. 3634
Millennials in the Workforce: Gen Y Workplace Strategies for the Next Century

Purpose: This paper investigates the impact of Generation Y individuals on the workforce in the USA. Design/methodology/approach: The paper employs a discourse approach to the analysis of the changes reported in the literature regarding the organisational responses to deal with the Generation Y behaviour and attitudes. Generation Y is the age group which consists of individuals born between 1979 and 2002, they are more diverse, technologically reliant, and individualistic than any previous generations (Erickson, 2008). Findings/results: Generation Y individuals currently represent more than 1/3 of the US workforce (Miller, Hodge & Brandt, 2013). As such, this working age population of Americans has shifted to a new generation of high school and college graduates, the workforce is reshaping organizational profiles to adapt to the different demographics entering the business world (McCrindle, 2006). In general, each generation responds to different management styles, work environments, and motivational techniques which directly affect an employee’s overall performance. Managers are developing strategies that from a human perspective are important to identify as the strengths and abilities of the new working generation. These strategies are essential in order to attract and recruit talented individuals whose workplace behaviour and social interaction is far different from any previous generation.
Question-Answering with QANet for SQUAD 2.0

Our task for this project is to is to design a question-answering system for the SQuAD 2.0 dataset that improves upon the BiDAF baseline model. To do this, we experiment with QANet, a transformer-based architecture. We also reintroduce a character-level embeddings on top of the provided BiDAF model, as well as a self-attention layer. Our best QANet model achieved 61.47/64.81 EM/FI1 scores on the test set.
Race and Coaching Hierarchy: An Analysis of Hiring and Firing in the NFL

Despite its best efforts, the National Football League (NFL) has long been criticised for its lack of minority leadership amongst its teams. Recent hires (and non-hires) have only served to heighten this criticism. To assess this, we use a new, rich and unique dataset to examine the relationship between race and coaching hierarchy in the NFL. Our results indicate that young, experienced and well performing coordinators are likely to be promoted to Head Coach while older and poorly performing coaches are more likely to be fired. A coach’s race does not seem to play a role in either promotions or firings. In the post Rooney Rule era (post 2003) however, black coordinators are marginally more likely to be promoted than previously. Black Head Coaches on the other hand, are neither more nor less likely to find a job at the same level. The Rooney Rule has been successful to the extent that teams now consider (and ultimately appoint) equally skilled black coordinators to Head Coaching jobs, despite our evidence suggesting that equally skilled black coordinators had always been available.
A diffuse interface Lox/hydrogen transcritical flame model

We present a diffuse-interface all-pressure flame model that transitions smoothly between subcritical and supercritical conditions. The model involves a non-equilibrium liquid/gas diffuse interface of van der Waals/Korteweg type embedded into a non-ideal multicomponent reactive fluid. The multicomponent transport fluxes are evaluated in their thermodynamic form in order to avoid singularities at thermodynamic mechanical stability limits. The model also takes into account condensing liquid water in order to avoid thermodynamic chemical instabilities. The resulting equations are used to investigate the interface between cold dense and hot light oxygen as well as the structure of diffusion flames between cold dense oxygen and gaseous-like hydrogen at all pressures, either subcritical or supercritical.
WOOD QUALITY OF PARASERIANTHES FALCATARIA L. NIELSEN SYN WOOD FROM THREE YEAR ROTATION OF HARVESTING FOR CONSTRUCTION APPLICATION

Paraserianthes falcataria is fast growing species that considered being potential lumber for construction application. The aim was to evaluate the effect of year rotation of harvesting on quality of Paraserianthes falcataria wood for construction application. Nine trees of Paraserianthes falcataria with harvesting rotation of 5, 7, and 9 years, were harvested from the private forest. Moisture content, specific gravity, shrinkage, MOE, MOR, and compressive strength parallel to grain were measured for wood quality parameters in accordance to JIS Z 2101. Durability test were conducted against dry wood termite (Criptotermes cynocephalus Light). The results showed that year harvesting of Paraserianthes falcataria influence significantly on specific gravity, and compressive strength parallels to grain. Paraserianthes falcataria wood is classified into strength class III-IV, which is properly used for light construction. To obtain optimum quality for construction purposes, Paraserianthes falcataria tree is recommended to be harvested in minimum harvesting rotation of 7 years.
A COMPREHENSIVE STUDY OF RECOMMENDER SYSTEMS: PROSPECTS AND CHALLENGES

A bstract - Recommender systems (RSs) automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. Recommender Systems are software tools and techniques aimed at providing suggestion to support users in various decision-making processes. Development of recommender systems is a multi-disciplinary effort which involves experts from various fields such as Artificial intelligence (AI), Human Computer Interaction (HCI), Information Technology (IT), Data Mining, Statistics, Adaptive User Interfaces, Decision Support Systems (DSS), Marketing, or Consumer Behaviour. Recommender systems have proven to be valuable means for online users to cope with information overload and various techniques for recommendation algorithms have been proposed and successfully deployed in commercial environments. In this paper, a comprehensive study of recommendation systems and various approaches are provided with their major strengths and limitations thereby providing future research possibilities in recommendation systems.
Entropy Production and Coarse Graining of the Climate Fields

9 We extend the analysis of the thermodynamics of the climate system by investigating the role 10 played by processes taking place at various spatial and temporal scales through a procedure of 11 coarse graining. We show that the coarser is the graining of the climatic fields, the lower is 12 the resulting estimate of the material entropy production. In other terms, all the spatial and 13 temporal scales of variability of the thermodynamic fields provide a positive contribution to the 14 material entropy production. This may be interpreted also as that, at all scales, the temperature 15 fields and the heating fields resulting from the convergence of turbulent fluxes have a negative 16 correlation, while the opposite holds between the temperature fields and the radiative heating 17 fields. Moreover, we obtain that the latter correlations are stronger, which confirms that radiation 18 acts as primary driver for the climatic processes, while the material fluxes dampen the resulting 19 fluctuations through dissipative processes. We also show, using specific coarse-graining procedures, 20 how one can separate the various contributions to the material entropy production coming from 21 the dissipation of kinetic energy, the vertical sensible and latent heat fluxes, and the large scale 22 horizontal fluxes, without resorting to the full three-dimensional time dependent fields. We find that 23 most of the entropy production is associated to irreversible exchanges occurring along the vertical 24 direction, and that neglecting the horizontal and time variability of the fields has a relatively small 25 impact on the estimate of the material entropy production. The approach presented here seems 26 promising for testing climate models, for assessing the impact of changing their parametrizations 27 and their resolution, as well as for investigating the atmosphere of exoplanets, because it allows for 28 evaluating the error in the estimate of their thermodynamical properties due to the lack of high29 resolution data. The findings on the impact of coarse graining on the thermodynamic fields on 30 the estimate of the material entropy production deserve to be explored in a more general context, 31 because they provide a way for understanding the relationship between forced fluctuations and 32 dissipative processes in continuum systems. 33 ∗ Email: valerio.lucarini@uni-hamburg.de 2
Mortgages and Monetary Policy ECONOMIC RESEARCH FEDERAL RESERVE BANK OF ST . LOUIS WORKING PAPER SERIES

Mortgages are long-term loans with nominal payments. Consequently, under incomplete asset markets, monetary policy can affect housing investment and the economy through the cost of new mortgage borrowing and real payments on outstanding debt. These channels, distinct from traditional real rate channels, are embedded in a general equilibrium model. The transmission mechanism is found to be stronger under adjustablethan fixed-rate mortgages. Further, monetary policy shocks affecting the level of the nominal yield curve have larger real effects than transitory shocks, affecting its slope. Persistently higher inflation gradually benefits homeowners under FRMs, but hurts them immediately under ARMs. (JEL E32, E52, G21, R21) ∗We thank John Campbell, Joao Cocco, Morris Davis, Wouter den Haan, Martin Schneider, Javier Villar Burke, Eric Young, and Stan Zin for helpful suggestions and Dean Corbae, Behzad Diba, Andra Ghent, Matteo Iacoviello, Amir Kermani, Bryan Routledge, Cedric Tille, and Arlene Wong for insightful conference discussions. We have also benefited from comments at Arizona State, Bank of England, Board of Governors, Birmingham, Carnegie Mellon, CERGE-EI, Essex, Glasgow, IHS, Indiana, Norwegian School of Economics, Ohio State, Riksbank, Royal Holloway, San Francisco Fed, Southampton, Surrey, Tsinghua, Bundesbank Workshop on Credit Frictions and the Macroeconomy, LAEF Business CYCLES Conference, LSE Macro Workshop, SAET Meetings, Sheffield Macro Workshop, NIESR The Future of Housing Finance Conference, UBC Summer Finance Conference, Bank of Canada Monetary Policy and Financial Stability Conference, Housing and the Economy Conference in Berlin, SED, MOVE Macro, Monetary Policy and the Distribution of Income Conference in St. Louis, Wharton Conference on Liquidity and Financial Crisis, Monetary Policy with Heterogenous Agents Conference in Paris, and SNB Research Conference. Furthermore, we thank the Editor, Itay Goldstein, and two anonymous referees for their comments and suggestions. The views expressed are those of the authors and not necessarily of the Federal Reserve Bank of St. Louis or the Federal Reserve System. Send correspondence to: Carlos Garriga, address: Research Division, Federal Reserve Bank of St. Louis, P.O. Box 442, St. Louis, MO 63166-0442; tel: (314) 444-7412. E-mail: Carlos.Garriga@stls.frb. org.
THE ROLE OF ACTIVATED THROMBIN-ACTIVABLE FIBRINOLYSIS INHIBITOR (TAFIA) IN ATHEROSCLEROSIS PROGRESSION THE ROLE OF ACTIVATED THROMBIN-ACTIVABLE FIBRINOLYSIS INHIBITOR (TAFIA) IN ATHEROSCLEROSIS PROGRESSION By DHULFIHA MUZAFAR GANI, B.H.Sc. (Hons)

Atherosclerosis is a chronic inflammatory condition of larger arteries characterized by build-up of plaques in the vessel wall. Disruption of plaques results in superimposed thrombus formation, or atherothrombosis, leading to the occlusion of the blood vessels. Atherosclerosis is the primary cause of heart attacks and strokes. Recent studies show that various fibrinolytic factors influence atherosclerosis progression. A healthy fibrinolytic system is fundamental to mitigating the worsening of the lesion and atherosclerosis progression by rapidly removing unwanted microthrombi that is otherwise incorporated into the plaque. In this regard, the activated thrombin-activable fibrinolysis inhibitor (TAFIa), a potent antifibrinolytic metallocarboxypeptidase that attenuates clot dissolution, could influence atherosclerosis progression. Aside from its antifibrinolytic property, TAFIa also affects inflammation by inactivating anaphylatoxins and kinins. Therefore, TAFIa possesses the potential to influence atherosclerosis via antifibrinolytic and antiinflammatory facets. We utilized mice deficient in apolipoprotein E (ApoE) as a model of atherosclerosis. Characterization of murine TAFIa determined that the functional halflives at 37 and 25 ̊C were about 4.0 and 12.7 minutes, respectively. TAFIa was stable indefinitely at 0 ̊C. In vitro clot lysis assays were performed on the plasmas of C57BL/6J (wild-type) and ApoE mice, aged 5, 10, 15 and 30+ weeks. No differences in clot lysis times were observed between the two genotypic classifications. TAFIa was directly quantified using our in-house assay, which showed decreased TAFIa levels in the ApoE mice. Closer examination revealed that the plasma from the ApoE mice was negatively influencing the TAFIa assay. Total TAFI zymogen levels in these samples appeared to
Dissemination of Circulating Tumor Cell Clusters Occurs Early in Non‑metastatic Breast Cancer Patients

Background: Metastatic spreading is promoted by cancer cell seeding from the primary tumor into the bloodstream. In patients with metastatic breast cancer (MBC), the clinical relevance of circulating tumor cell clusters (CTC-clusters) has been extensively reported, while their study in earlier stages is limited. Several methods, besides the FDA-cleared CellSearch®, limited to the detection of epithelial-enriched clusters, can be used for the detection of CTC-clusters. We hypothesize that resorting to marker-independent approaches can improve CTC-cluster detection. Methods: Blood samples collected from healthy donors and spiked-in with tumor mammospheres, or from BC patients, were processed for CTC-cluster detection with 3 technologies: CellSearch®, CellSieve™ filters, ScreenCell® filters. The number of CTC-clusters was compared among the technologies and analyzed in relation to patient characteristics and outcome. Results: In spiked-in samples, the 3 technologies showed similar capability of recover epithelial mammospheres, whereas, in a series of 19 clinical samples processed in parallel with the CellSearch® and CellSieve™ filters (that allow the detection of both epithelial and non-epithelial clusters), CTC-clusters were detected in 53% of samples with the CellSearch®, versus 79% and 84% with the CellSieve™, when considering only epithelial or both epithelial and non-epithelial clusters, respectively. Next, blood samples from 37 non-metastatic breast cancer (NMBC) and 23 MBC patients were processed using ScreenCell® filters for attaining both unbiased enrichment and marker-independent identification of clusters based on cytomorphological criteria. At baseline, CTC-clusters were detected in 70% of NMBC cases and in 20% of MBC patients (median number= 2, range 0–20, versus 0, range 0‑15, P =0.0015). Among NMBC patients, clusters were slightly higher in women with node-positive than node‑negative status (0 versus 3, P =0.1110 ) and were more frequently observed in women with luminal‑like and triple-negative tumors than in patients with HER2-positive disease (median CTC-cluster number =4, 5, and 0 for luminal‑like, triple-negative, and HER2-positive BC, respectively, P =0.0467). Conclusions: We demonstrated that CTC-cluster detection can be improved by a marker-independent enrichment and identification, and we reported that CTC-clusters are more frequently detected in NMBC than in MBC patients, suggesting that dissemination of CTC-clusters is an early event in BC natural history.
Meaning, Motive and Reconfiguration: Could Activity Theory provide Design Directions for Personal Fitness Technology?

This paper reflects on how Activity Theory might be applied to suggest new design directions for technology that aims to support and promote personal health objectives like fitness or weight loss. We draw on interviews with people who have established fitness practices (running or cycling) and those who use devices like the Fitbit in order to understand how Activity Theory concepts can help to explain aspects of their practice. We draw on existing work in Activity Theory to suggest two new frames. First, an action-meaning frame that encourages us to consider the meaningful motives behind an activity, and to situate in-the-moment instrumental motivation within that meaningful context, Second, a cultural-historical frame that encourages us to consider the historicity of personal healthful activity – where our activities came from – and the possible future activities that current activities could be reconfigured into. We suggest possible design approaches – such as designing in support of the ‘activity formation process’ itself, as promising avenues for future research.