Miracle-dz/UniFAR-FTUs huggingface dataset:
A Data Analysis Model Using Variable Time-Series Data for Health Care

- A massive amount of time stamped data are generated in various domains such as health care, engineering, intrusion detection, stock market analysis and many more. This increasing availability, demands the analysis of temporal data for the purpose of prediction and classification. Time series classification is a challenging task due to the presence of high dimensional heterogeneous data; hampered with missing values and sampled at irregular time intervals. The project thus focuses on designing a classification model for multivariate time serious data that could be used for decision support system. In order to preserve the temporal characteristics of the data, the proposed methodology includes three phase. First, the missing values are imputed using Particle Swarm Optimization (PSO) based Inverse Distance Weighted Interpolation method (IDW). Secondly, the temporal data are transformed into high level symbolic representation (states and trends), through temporal abstraction based on Piecewise aggregation using dynamic window sizing. Finally, the abstracted states and trends are used as features to induce the Support Vector Machine (SVM) classifiers. The work is demonstrated using real dataset containing clinical trials of thrombosis patients and the results shows that the SVM classifiers has outperformed other classifiers with 95% classification accuracy.
Relationships between mindfulness skills, anxiety sensitivity and cognitive reactivity in posttraumatic stress disorder

Mindfulness interventions are effective in patients with recurrent depression. They might also be helpful in posttraumatic stress disorder (PTSD), since mindfulness skills have been associated with low levels of symptoms in trauma ‐ exposed students and combat veterans. Anxiety sensitivity (AS) and cognitive reactivity (CR) are hypothesized to mediate the effects of mindfulness interventions and are also related to PTSD. To investigate the associations among mindfulness skills and anxiety and depression sensitivity and symptom severity in a clinical sample of patients with PTSD. inversely posttraumatic Increasing non ‐ judgment or mindful a beneficial effect on PTSD by affecting an important underlying working mechanism of PTSD. We observed similar relationships between non ‐ judgment and CR, extending earlier results of Raes et al. in students to a clinical sample of PTSD patients. Studies on the effect of MBCT on symptoms of PTSD and/or depression should include measures of AS and CR, to be able to further investigate the mediating role of mindfulness skills in reducing sensitivity for anxiety and depression.
Reference Governors: From Theory to Practice

Control systems that are subject to constraints due to physical limitations, hardware protection, or safety considerations have led to challenging control problems that have piqued the interest of control practitioners and theoreticians for many decades. In general, the design of constraint management schemes must meet several stringent requirements, for example: low computational burden, performance, recovery mechanisms from infeasibility conditions, robustness, and formulation simplicity. These requirements have been particularly difficult to meet for the following three classes of systems: stochastic systems, linear systems driven by unmodeled disturbances, and nonlinear systems. Hence, in this work, we develop three constraint management schemes, based on Reference Governor (RG), for these classes of systems. The first scheme, which is referred to as Stochastic RG, leverages the ideas of chance constraints to construct a Stochastic Robustly Invariant Maximal Output Admissible set (SR-MAS) in order to enforce constraints on stochastic systems. The second scheme, which is called Recovery RG (RRG), addresses the problem of recovery from infeasibility conditions by implementing a disturbance observer to update the MAS, and hence recover from constraint violations due to unmodeled disturbances. The third method addresses the problem of constraint satisfaction on nonlinear systems by decomposing the design of the constraint management strategy into two parts: enforcement at steady-state, and during transient. The former is achieved by using the forward and inverse steady-state characterization of the nonlinear system. The latter is achieved by implementing an RG-based approach, which employs a novel Robust Output Admissible Set (ROAS) that is computed using data obtained from the nonlinear system. Added to this, this dissertation includes a detailed literature review of existing constraint management schemes to compare and highlight advantages and disadvantages between them. Finally, all this study is supported by a systematic analysis, as well as numerical and experimental validation of the closed-loop systems performance on vehicle roll-over avoidance, turbocharged engine control, and inverted pendulum control problems. To my parents, Silvia and Luis, and to my brother and sister, Luis and Urpy with love.
High Power Coupler

The break of a high power input window is the most likely and dangerous accident for SC cavity systems. This is a motivation to compare and evaluate different designs and operating experiences and limitations of high power couplers for superconducting as well as normalconducting cavities. Equivalent information of klystron windows will be included for comparison.
TODIM Approach for Selection of Inventory Policy in Supply Chain

TODIM-based multicriteria decision-making approach for assessing inventory policy in a Pythagorean fuzzy environment is proposed in this study. In supply chain, inventory appears in several forms. For effective supply chain, management businesses must choose an effective inventory policy. It is difficult to rank inventory policies. Inventory policy selection and evaluation include a procedure that can be thought about, checked after some time, and ideally improved through certain measures. Determination of the right inventory control policy is a challenge in the dynamic business environment as it enables organizations to gain an upper hand in terms of cost, quality, and service, which in turn provides a vital step in fulfilling the requirements of the customer. ,e multicriteria question has qualitative and quantitative factors that are vague and contradictory. Such variables are not necessarily clear and often suffer vagueness owing to the inconsistent existence of the gathered data. In the Pythagorean fuzzy setting, they are therefore considered to eliminate this vagueness by assigning membership and nonmembership roles to these factors. Finally, in this article, we performed a sensitivity analysis to demonstrate the stability of our model and to illustrate the utility of implementing such algorithms.
Introducing industrial design students to long-term product attachment

Technological and fashion obsolescence continue to be concerns in the design of contemporary products. Research shows that consumers dispose of household items even though those are still fully or partly functional, for various reasons. One cause of premature disposal is the lack of emotional attachment between user and product. This paper aims to explore how industrial designers, as initiators of the relationship between products and users, might facilitate the generation and continuation of positive experiences that could potentially lead to the consumer’s enduring attachment to particular products, thereby optimizing the product’s lifetime and detouring it from becoming landfill too soon. This paper contributes to a larger research that seeks to understand the factors that contribute to long-lasting product satisfaction and how industrial designers can be encouraged to consider these in their product development strategies. Dining furniture was selected as the product area for this paper. The research starts with a literature review on consumer-product attachment, and on design strategies which promote the optimization of product lifetimes. These were used to inform a studio charette within a third year industrial design course at the University of New South Wales, in which students brainstormed ideas for aftermarket products that could enable consumers into modifying, personalizing, refreshing, repairing or refurbishing existing furniture items and thus bond better with their possessions. The outcomes of this exercise, in turn, provide a basis for formulating some guidelines that would help designers foster long-term product attachment. Furthermore, the charette increased the students’ awareness of the effects of rapid consumption processes, while illustrating the value of lifetime optimization through more responsible design and more emotionally durable products.
Identi cation a ceRNA (XIST/miR-10a- 5p/SERPINE1) Axis as a Prognostic Biomarker in Kidney Renal Clear Cell Carcinoma

Rui-ji Liu Southeast University Zhongda Hospital Zhi-Peng Xu Southeast University Zhongda Hospital Shuying Li Sichuan Cancer Hospital and Research Institute: Sichuan Cancer Hospital and Institute Jun-Jie Yu Southeast University Zhongda Hospital Bin Xu Southeast University Zhongda Hospital Ming Chen (  230208925@seu.edu.cn ) A liated Zhongda hospital of Southeast University https://orcid.org/0000-0002-3572-6886
Cow Dung Forms and their Effect on Microbial Community of Degraded Ultisols of some Smallholder Women Farmers’ Fields in the Rainforest Zone of Nigeria

Soil microorganism is one of the indices of a healthy soil and one of the ways to boost its increase in the soil is by adding organic manure. It is important to know the form of the animal manure that will increase the soil microbes. It is against this backdrop that a scientific investigation was conducted at the research field of the College of Crop and Soil Sciences, Michael Okpara University of Agriculture Umudike. The pot study was aimed to assess the effect of cow dung forms on the microbial community of the Ultisols of smallholder women farmers in the Rainforest zone of Nigeria. The treatments were composted cow dung (CCD), normal cow dung (CD), cow dung ash (CDA), cow dung biochar (CDB) and a control (CTRL), which did not receive any amendment. They were applied at the rate of 5 t ha -1 (equivalent to 1.4 kg) to 10 kg of soil and replicated three times. The microbial analysis was done before treatment application, at 1, 2, 3 and 4 weeks after treatment application (WAA) using the standard laboratory procedures. The results obtained showed that the main microbes, present in the soil were bacteria and fungi. At 1 weeks after treatment application, CCD significantly (P≤0.05) increased the value of bacterial from 137060 (cfu g -1 ) before treatment application to 774000 (cfu g -1 ). The highest bacterial population was obtained at 3WAA with a value of 1200000 (cfu g -1 ) given by CCD. Composted cow dung gave 863000 (cfu g -1 ), which was the highest value obtained for fungi at 4WAA. Soil pH correlated positively with the soil bacteria. It will be concluded that if the smallholder women farmers will apply CCD, the microbes will be increase and this will improve the soil health of the degraded soil.
The Differential Expression of Cancer Stem Cell Markers CD44, CD24 and ALDH1 in Breast Cancer Histological Types

Aldehyde Dehydrogenase 1(ALDH-1) and CD44 + CD24 − are the most consistently used biomarkers to identify and characterize breast Cancer Stem Cells (CSCs). However, expression of CSCs in Specific Histologic Types (SHTs) of Invasive Ductal Carcinomas (IDCs) remains unclear. We aimed to determine the distribution of CD44, CD24 and ALDH-1 breast CSC markers in SHTs of IDC compared with that in IDC-Not Otherwise Specified (NOS). From October 2013 to February 2014, we analyzed 168 IDC cases for double immunohistochemical staining of CD44, CD24 and single expression of ALDH- 1. The distribution of these CSC markers, CD44 + CD24 − , ALDH-1 and CSC phenotypes (CD44 + CD24 − / ALDH-1) were retrospectively evaluated among the distinct SHTs and intrinsic subtypes compared with IDC-NOS. Medullary, metaplastic and apocrine carcinomas enriched in ALDH-1 population (100%, 100%, and 66.7%, respectively, vs. 44.1% in IDC-NOS, P =0.04). Medullary, papillary, and metaplastic carcinomas displayed significant increases in CSC phenotype frequency (66.7%, 28.6% and 100%, respectively, vs. 20% in IDC-NOS, P =0.03). In IDC-SHT, mucinous carcinoma was correlated with luminal A subtype and medullary, papillary, metaplastic, apocrine, and micropapillary carcinomas were correlated with triple negative breast cancer ( P =0.01). CK5/6(+), EGFR(+), ER(-), PR(-), and high HG were associated with ALDH-1(+) or CSC phenotype, but HER2(-) was associated with CD44+CD24-(+). Within distinct SHTs, medullary and metaplastic carcinomas are highly associated with the basal-like subtype and the CSC phenotype. In conclusion, we demonstrated the described CD44+/CD24−, ALDH-1, and CSC phenotypes may identify CSCs with distinct levels of differentiation and several SHTs are distinguished entities from IDC-NOS with regard to CSC marker expression.
COVID-19 and Ayurvedic Industry: Impact on Ancient Science & Healthcare Business

The Covid-19 outbreak has turned out an opportunity for a recent noticeable increase in Ayurvedic goods and methods consumption in India. Hence, this paper aims to discover how consuming behaviour changed during Covid-19 time in terms of perceived health alertness and wellness perspective. Based on the collected data from 100 online respondents during the social distancing period due to Covid-19, the research analyses the role of Covid-19 as a moderator variable in the relationship between benefits perception of the consumer and their insight and health benefits toward traditional medical activities. The result shows Covid-awareness of utilities, which encourages consumer towards Ayurvedic goods. These findings can contribute to understanding consumer behaviour comprehensively, help Ayurvedic pharmacy companies and methods deal with similar situation as well as recommendations for the Government to support our ancient science and healthcare trade that has been adopted by cultures globally.
A study with a three-step method regarding countries happiness

The purpose of this study is to provide clarity with methods such as Exploratory Factor Analysis, Confirmatory Factor Analysis and Multiple Linear Regression, regarding which social factors influence the Happiness Score for a given country. With a data set that consists of 11 variables, of which 155 countries were included, were mainly conducted by the Gallup World Poll Survey. The Socio-cultural factor and Political factor were the two factors that were extracted due to the choice of not removing important variables that could have a major role in explaining the behaviour of the Happiness Score of a country. The validation of the two-factor solution model yielded a Cronbach's alpha above 0.7. The values from the t-test showed significant coefficients that were greater than 1.96 for the factors. Regarding the results, there are signs of positive influences from both the factors on the Happiness Score for a given country.
Authors’ Manuscript Customer Participation Variation and Its Impact on Customer Service Performance: Underlying Process and Boundary Conditions

Drawing on the customer participation literature, this research proposes customer participation (CP) variation as the degree to which employees perceive variability across customers with regard to customers sharing information, time, and effort and making suggestions to enhance the service delivery process and outcome. Drawing on the job demands-resources model, this research explicates the mediating process by which CP variation affects customer service performance and its boundary conditions. Study 1 uses data from a field study in the banking industry to show that CP variation negatively influences customer service performance through greater customer-related burnout. The authors show that this mediation process is moderated by contingencies that mitigate or exacerbate the indirect relationship. Study 2 further validates the CP variation construct by testing for discriminant validity against similar and related constructs, such as CP quality, in more diverse service industries (insurance, legal consulting, travel and tourism, healthcare, and physical fitness). Finally, the moderating role of CP quality is examined to provide a more nuanced picture of the intricacies between CP variation and CP quality. The paper concludes with a discussion of the theoretical and practical implications for CP variation research.
Protein Crystallization under the Presence of an Electric Field Protein Crystallization under the Presence of an Electric Field

Three-dimensional protein molecule structures are essential for acquiring a deeper insight of the human genome, and for developing novel protein-based pharmaceuticals. X-ray diffraction studies of such structures require well-diffracting protein crystals. A set of external physical factors may promote and direct protein crystallization so that crystals obtained are useful for X-ray studies. Application of electric fields aids control over protein crystal size and diffraction quality. Protein crystal nucleation and growth in the presence of electric fields are reviewed. A notion of mesoscopic level of impact on the protein crystallization exercised by an electric field is also considered.
Existence and geometric properties of solutions of a free boundary problem in potential theory.

Let 0 ≤ g, h ∈ L∞(RN )(N ≥ 2) be two given density functions, at least one of them bounded away from zero outside a compact set and g (Holder) continuous. We prove that for any compactly supported positive measure μ which is sufficiently concentrated (e.g. has sufficiently high (N − 1)-dimensional density) there exists a bounded open set Ω ⊂ RN such that the Newtonian potential of the measure hLN ⌊Ω + gHN−1⌊∂Ω agrees with that of μ outside Ω. Some regularity of ∂Ω is obtained, as well as several results on the geometry of Ω. Example: if h and g are constant then, for any x ∈ ∂Ω, the inward normal ray of ∂Ω at x (if it exists) intersects the closed convex hull of μ. Typeset by AMS-TEX 1 2 BJORN GUSTAFSSON AND HENRIK SHAHGHOLIAN
Saridakis, George and Lai, Yanqing and Muñoz Torres, Rebeca I and Gourlay, Stephen (2018)Exploring the relationship between job satisfaction

The possible role of job satisfaction (JS) on organizational commitment (OC) has been a very important and hotly debated topic among experts. However, existing studies have yielded mixed results potentially due to utilization of small datasets, different methodological designs, estimation techniques that do not control for potential endogeneity between the variables, or a combination of these issues. Using a large matched employer-employee data-set from Britain (WERS2011), we find that increases in employees’ JS positively influence OC. We also show that this relationship holds when an instrumental variable framework (IV ordered probit/IV probit) is adopted to take into account the potential endogeneity of JS. However, throughout the analysis, the IV estimates are smaller in magnitude in comparison to where JS is considered as an exogenous variable. Moreover, utilising a two-stage probit least square (2SPLS) estimator, we support our previous findings i.e. increased JS is likely to lead to enhanced OC, but we also show that greater OC leads to higher levels of JS suggesting that JS and OC are likely to be reciprocally related. Overall, the IV estimates confirm the importance of addressing the endogeneity issue in the analysis of the relationship between JS and OC.
A Robotic Architecture for the Autonomous Open-Ended Learning of Interdependent Tasks

Autonomous acquisition of many different skills is necessary to foster behavioural versatility in artificial agents and robots. While the learning of multiple skills per se can be addressed through different machine learning techniques sequentially assigning a series of N tasks to the agent, autonomy implies that the agent itself has the capacity to select on which task to focus at each moment and to shift between them in a smart way. Intrinsic motivations (IMs) have been used in the field of machine learning and developmental robotics [1], [2] as a motivational signal for the autonomous selection of tasks (often called “goals”): the learning progress in accomplishing the tasks is used as a transient reward to select goals in which the system is making the most learning progress [3]. In realworld scenarios, tasks may require specific initial conditions to be performed or may be interdependent, so that to achieve a task the agent needs first to learn and accomplish other tasks. This latter case is of particular interest and it is still an open question from an autonomous open-ended learning perspective. We propose a reinforcement learning (RL) system for robot control that is capable of learning multiple interdependent tasks by treating the selection of tasks/goals as a Markov Decision Process (MDP) where the agent selects goals to maximise its overall competence.
Up-regulation and trafﬁcking of d opioid receptor in a model of chronic inﬂammation: implications for pain control

Pharmacological and physiological evidence supports a role for delta ( d ) opioid receptors in the nociceptive mechanisms of inﬂammation. However, few data exist regarding d opioid receptor expression and localization in such conditions. In this study, we have assessed the distribution and function of d opioid receptors in the rat spinal cord following induction of chronic inﬂammation by intraplantar injection of complete Freund’s adjuvant (CFA). Intrathecal administration of the selective d opioid receptor agonist, d -[Ala 2 , Glu 4 ] deltorphin, dose-dependently reversed thermal hyperalgesia induced by CFA. In situ hybridization and Western blotting experiments revealed an increase in d opioid receptor mRNA and protein levels, respectively, in the dorsal lumbar spinal cord ipsilateral to the CFA injection site compared to the contralateral side and sham-injected controls. By electron microscopy, immunopositive d opioid receptors were evident in neuronal perikarya, dendrites, unmyelinated axons and axon terminals. Quantiﬁcation of immunopositive signal in dendrites revealed a twofold increase in the number of immunogold particles in the ipsilateral dorsal spinal cord of CFA-injected rats compared to the contralateral side and to sham-injected rats. Moreover, the relative frequency of immunogold particles associated with or in close proximity to the plasma membrane was increased in the ipsilateral dorsal spinal cord, indicating a more efﬁcient targeting of d opioid receptors to neuronal plasma membranes. These data demonstrate that CFA induces an up-regulation and increased membrane targeting of d opioid receptors in the dorsal spinal cord which may account for the enhanced antinociceptive effects of d opioid receptor agonists in chronic inﬂammatory pain models. q 2002 International Association for the Study of Pain. Published by Elsevier Science B.V. All rights reserved.
Computational Analysis of the Linear Motif Mediated Subversion of the Human Protein Synthesis Machinery

—We argue that virus-host interactions mediated by short linear motifs can be used to analyze common viral attack strategies. In this direction we develop a method for predicting interactions between human protein-synthesis machinery and viral proteins mediated by linear motifs in order to study common protein-synthesis subversion strategies. The method consists in ﬁnding viral instances of host linear motifs. We ﬁlter these instances by conservation in viral sequences, location in protein disordered regions and scarcity in randomized protein sets. With the ﬁltered motifs we deduce virus-host interactions using the motif-domain associations in the Eukaryotic Linear Motifs (ELM) database. We validate the results against the Linear Motif mediated Protein Interaction Database (LMPID) and obtain a network of interactions between the human protein-synthesis machinery proteins and viruses inﬂuenza AH1N1, Dengue1, Ebola, MERS, Rotavirus, WestNile, and Zika.