Miracle-dz/UniFAR-FTUs huggingface dataset:
Acidic Properties and Catalytic Activity of Titanium Sulfate Supported on TiO 2

for environmentally benign heterogeneouscatalysts has driven the worldwide research of new materialsas a substitute for current liquid acids and halogen-basedsolid acids. Among them sulfated oxides, such as sulfatedzirconia, titania, and iron oxide exhibiting high thermo-stability, superacidic property, and high catalytic activity,have evoked increasing interest.
The prevalence of HIV/AIDS frames in Kenya Newspapers: A summative content analysis of the Daily Nation

Abstract Kenya has one of highest numbers of people living with HIV/AIDS in Africa (UNAIDS, 2018). The Kenyan media and most notably the Daily Nation play an important role in the social construction of HIV/AIDS nationally. This article uses the theory of media framing to understand the manner in which Kenyan newspapers make sense of the HIV/AIDS issue between the years 2011 and 2015. Specifically, this analysis focuses on multiple frames used by stakeholders with respect to the following topical categories (a) valence (positive/negative), (b) the action frame, (c) victim frame, (d) severity of HIV/AIDS in Kenya, (e) causes and solutions, and (f) beliefs about who is at risk. The findings show the action and victim frames to be most dominant. The group “other” was considered most at risk of contracting HIV, while positive valence was noted in most sampled articles.
Wafer Scale Transfer of Ultrathin Silicon Chips on Flexible Substrates for High Performance Bendable Systems

This paper presents an innovative approach for wafer scale transfer of ultrathin silicon chips on flexible substrates. The methodology is demonstrated with various devices (ultrathin chip resistive samples, metal oxide semiconductor (MOS) capacitors and n‐channel metal oxide semiconductor field effect transistors (MOSFETs)) on wafers up to 4″ diameter. This is supported by extensive electromechanical characterization and theoretical analysis, including finite element simulation, to evaluate the effect of bending and the critical breaking radius of curvature. The ultrathin chips on polyimide did not break until the radius of curvature of 1.437 mm. In the case of MOS capacitors the measured capacitance increases with increase in bending load. The changes in the transfer and output characteristics of ultrathin MOSFETs closely match with the theoretical model utilizing empirically determined parameters. Overall, the work demonstrates the efficacy of the new methodology presented here for wafer scale transfer of ultrathin chips on flexible substrates. The presented research will be useful for obtaining high performance and compact circuits needed in many futuristic flexible electronics applications such as implantable electronics and flexible displays. Further, it will open new avenues for realizing multilayered multimaterial (foil‐to‐foil) integrated bendable electronics.
Efficient active depth sensing by laser speckle projection system

Abstract. An active depth sensing approach by laser speckle projection system is proposed. After capturing the speckle pattern with an infrared digital camera, we extract the pure speckle pattern using a direct-global separation method. Then the pure speckles are represented by Census binary features. By evaluating the matching cost and uniqueness between the real-time image and the reference image, robust correspondences are selected as support points. After that, we build a disparity grid and propose a generative graphical model to compute disparities. An iterative approach is designed to propagate the messages between blocks and update the model. Finally, a dense depth map can be obtained by subpixel interpolation and transformation. The experimental evaluations demonstrate the effectiveness and efficiency of our approach.
Causality, Determinism, and the Mind-Brain Problem

The problem of causality, determinism, and mind and brain are discussed, and new solutions are offered. To begin, a pragmatic struc­ turalism is assumed, asserting the functional equivalence of mind and brain activity. A problem-solving model of mind-brain activity is defined, employing the mathematical theory of probablistic automata. With this model it can be determined whether mind-brain activity is deterministic. This is accomplished if an adequate definition of strict causality is developed. Logical models of strict causality which define the causal relation in terms of "material implication" or "strict implica­ tion" are rejected. Causal relativity is assumed, and certain system­ theoretical assumptions are made with respect to the problem-solving model of mind-brain activity. Thus, strict causal structures are deter­ ministic if the etiologic relation "#" is representable by a function which is (1) irreflexive, (2) transitive, (3) asymmetric, and (4) tempor­ ally ordered. The representing function must be one-one or many-one, and "#" must be relativated to a model, L, and a domain, D. The results are, the representing functions of the models are not one-one or many-one, and thus mind-brain activity is indeterministic. But to avoid the result that mind-brain systems are chaotic in their behavior, the problem-solving model of mind-brain activity is given a game­ theoretical interpretation. t t t
Dynamic path planning of initially unknown environments using an RGB-D camera

In this thesis an RGB-D camera was used with the goal to perform dynamic path planning in an initially unknown environment. Depth data from an RGB-D camera together with a discretizising algorithm is continuously used for maintaining an obstacle map of the environment which within the path planning algorithm D* Lite [S. Koening, 2005] is performed on the flight. Experiments were conducted on two different systems, on Combine’s hexacopter and on a Gantry Tau robot at the Robot Lab of the Department of Automatic Control, LTH. On Combine’s hexacopter different tracking algorithms such as ICP, Translation Approximation and SDF where evaluated for 3D positioning while the robots internal positioning where used on the Gantry Tau robot. For discretization purposes we compare the use of Box Approximation and Signed Distance Function (SDF) for creating the obstacle map.
Questionable research practices when using confirmatory factor analysis

Purpose The purpose of this paper is to describe common questionable research practices (QRPs) engaged in by management researchers who use confirmatory factor analysis (CFA) as part of their analysis. Design/methodology/approach The authors describe seven questionable analytic practices and then review one year of journal articles published in three top-tier management journals to estimate the base rate of these practices. Findings The authors find that CFA analyses are characterized by a high base rate of QRPs with one practice occurring for over 90 percent of all assessed articles. Research limitations/implications The findings of this paper call into question the validity and trustworthiness of results reported in much of the management literature. Practical implications The authors provide tentative guidelines of how editors and reviewers might reduce the degree to which the management literature is characterized by these QRPs. Originality/value This is the first paper to estimate the base rate of six QRPs relating to the widely used analytic tool referred to as CFA in the management literature.
“The Chatbot is typing …” – The Role of Typing Indicators in Human-Chatbot Interaction

Chatbots have attracted considerable interest in recent years. A key design challenge to increase their adoption is to make the interaction with them feel natural and human-like. Therefore, it is suggested to incorporate social cues in the chatbot design. Drawing on the Computers are Social Actors paradigm and the "uncanny valley" hypothesis, we study the effect of one specific social cue (i.e., typing indicators) on social presence of chatbots. In an online experiment, we investigate the effect of two specific designs of typing indicators. Our preliminary results indicate that graphical typing indicators increase social presence of chatbots, but only for novice users. Therefore, our results suggest that the relationship between typing indicators and perceived social presence of chatbots depends on the design of these indicators and user's prior experience. We contribute with empirical insights and design knowledge that support researchers and practitioners in understanding and designing more natural human-chatbot interactions.
Title A novel self-assembled oligopeptide amphiphile for biomimeticmineralization of enamel

Background: Researchers are looking for biomimetic mineralization of ena/mel to manage dental erosion. This study evaluated biomimetic mineralization of demineralized enamel induced by a synthetic and self-assembled oligopeptide amphiphile (OPA). Results: The results showed that the OPA self-assembled into nano-fibres in the presence of calcium ions and in neutral acidity. The OPA was alternately immersed in calcium chloride and sodium hypophosphate solutions to evaluate its property of mineralization. Transmission electron microscopy (TEM) and scanning electron microscopy (SEM) showed nucleation and growth of amorphous calcium phosphate along the self-assembled OPA nano-fibres when it was repetitively exposed to solutions with calcium and phosphate ions. Energy dispersive spectrometry (EDS) confirmed that these nano-particles contained calcium and phosphate. Furthermore, electron diffraction pattern suggested that the nano-particles precipitated on OPA nano-fibres were comparable to amorphous calcium phosphate. Acid-etched human enamel slices were incubated at 37°C in metastable calcium phosphate solution with the OPA for biomimetic mineralization. SEM and X-ray diffraction indicated that the OPA induced the formation of hydroxyapatite crystals in organized bundles on etched enamel. TEM micrographs revealed there were 20–30 nm nano-amorphous calcium phosphate precipitates in the biomimetic mineralizing solution. The particles were found separately bound to the oligopeptide fibres. Biomimetic mineralization with or without the oligopeptide increased demineralized enamel microhardness. Conclusions: A novel OPA was successfully fabricated, which fostered the biomimetic mineralization of demineralized enamel. It is one of the primary steps towards the design and construction of novel biomaterial for future clinical therapy of dental erosion.
Prediction of sea surface temperature using a multiscale deep combination neural network

ABSTRACT The study of sea surface temperature (SST) in coastal water is of great significance for navigation, aquaculture and military. Numerous studies have been conducted to predict this parameter in recent years. The fluctuation of SST is periodic, and it shows different changing patterns over different timescales. At present, most investigations on SST ignore the influence of multiscale features on the prediction, which may limit the accuracy of the final prediction. To fully exploit the features of SST data, we propose a multi-long short-term memory convolution neural network (M-LCNN) prediction model. In this model, we use the wavelet transform to decompose and reconstruct the time series, we then predict the variation of SST sequences at multiple scales, and finally complete the prediction process. We conduct experiments in the Yellow Sea and the Bohai Sea in China, and the results indicate that our method is significantly better than traditional approaches.
Histological Examination of Callogenesis in Bisected Protocorm Culture of Pigeon Orchid (Dendrobium crumenatum Swartz)

Callogenesis is a prerequisite step for the initiation of callus-mediated plant regeneration. Three-month-old protocorms of Dendrobium crumenatum Swartz (pigeon orchid) were bisected transversely and cultured on modified Vacin and Went (VW) solid medium containing 20 g L -1 sucrose, 2 g L -1 Phytagel added with various concentrations of 1-naphthaleneacetic acid (NAA) (0, 0.1, 0.5 mg L -1 ) and 6-benzyladenine (BA) (0, 1, 2 mg L -1 ). The highest percentage of callus formation was obtained from the explant cultured on a modified VW supplemented with 0.5 mg L -1 NAA and 1 mg L -1 BA. The callus originated from the subepidermal layer of the bisected protocorm and subsequently formed nodular structure after culture for 8 weeks. The callus mass contained small isodiametric cells with prominent nuclei and nucleoli within dense cytoplasm.
Mobile Phone and Wearable Sensor-Based mHealth Approach for Psychiatric Disorders and Symptoms : Systematic Review and Link to the m-RESIST Project

Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and validating an innovative therapeutic program for treatment-resistant schizophrenia. The program exploits information from mobile phones and wearable sensors for behavioral tracking to support intervention administration. Objective: To systematically review original studies on sensor-based mHealth apps aimed at uncovering associations between sensor data and symptoms of psychiatric disorders in order to support the m-RESIST approach to assess effectiveness of behavioral monitoring in therapy. Methods: A systematic review of the English-language literature, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was performed through Scopus, PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials databases. Studies published between September 1, 2009, and September 30, 2018, were selected. Boolean search operators with an iterative combination of search terms were applied. Results: Studies reporting quantitative information on data collected from mobile use and/or wearable sensors, and where that information was associated with clinical outcomes, were included. A total of 35 studies were identified; most of them investigated bipolar disorders, depression, depression symptoms, stress, and symptoms of stress, while only a few studies addressed persons with schizophrenia. The data from sensors were associated with symptoms of schizophrenia, bipolar disorders, and depression. JMIR Ment Health 2019 | vol. 6 | iss. 2 | e9819 | p.1 http://mental.jmir. org/2019/2/e9819/ (page number not for citation purposes) Seppälä et al JMIR MENTAL HEALTH
Spatio-Temporal Matching Network for Multi-Turn Responses Selection in Retrieval-Based Chatbots

In this paper, we propose a Spatio-Temporal Matching network (STM) for Noetic End-to-End Response Selection Challenge. Based on dialogue context, the goal of this challenge is to identify the best matched nextutterance (response) from multiple candidates. Different from existing datasets, such as the Ubuntu Corpus and the Douban Conversation Corpus, the datasets released by NOESIS contain a large number of candidates. Our model is inspired by the recently proposed Deep Attention Matching network (DAM) and Sequential Matching Network (SMN). We formalize this task as a multi-class classification problem and extend dual-encoder structure with attention mechanism and a deep 3-dimension convolution network, namely spatio-temporal matching block. By making use of 3dimensional convolution and pooling operations, our model enables matching information in segment pairs and time sequence. We evaluate our model on subtask1, subtask3 and subtask4. Empirical results show that our proposed model significantly outperforms the Dual-LSTM-Encoder baseline, and achieves the third place on Ubuntu Corpus and the fifth place on Advising Data.
Did increasing the state pension age in Ireland affect the retirement rate of 65-year-olds? Quarterly Economic Commentary Special Article, Autumn 2017

In January 2014, the qualifying age for the Irish contributory state pension increased from 65 to 66 years. Individuals born after 1 January 1949 could no longer qualify for the pension at age 65, while individuals born before this date could still qualify, provided they had the required social insurance contributions. In this paper, we examine whether this change in the qualifying age had a causal effect on the retirement rate of 65-year-olds in Ireland. To do this, we compare the retirement rates of two groups of 65-year-olds in 2014; one group was born just after the cut-off date, thereby making them ineligible for the state pension at age 65, while the other group was born just before the cut-off date, making them potentially eligible, subject to meeting the insurance contribution requirements. We do not find clear evidence that the change in the retirement age had a causal effect on the retirement rate or the employment and unemployment rates of 65-year-olds in 2014.
Coupling a Human Thermal Comfort Model with Computational Fluid Dynamics to Predict Thermal Comfort in Naturally Ventilated Environments

This paper describes the methods developed to couple a commercial CFD program with a multi-segmented model of human thermal comfort and physiology. A CFD model is able to predict detailed temperatures and velocities of airflow around a human body, whilst a thermal comfort model is able to predict the response of a human to the environment surrounding it. By coupling the two models and exchanging information about the heat transfer at the body surface the coupled system can potentially predict the response of a human body to detailed local environmental conditions. This paper presents a method of exchanging data, using shared files, to provide a means of dynamically exchanging simulation data with the IESD-Fiala model during the CFD solution process. Additional code is used to set boundary conditions for the CFD simulation at the body surface as determined by the IESD-Fiala model and to return information about local environmental conditions adjacent to the body surface as determined by the CFD simulation. The coupled system is used to model a human subject in a naturally ventilated environment. The resulting ventilation flow pattern agrees well with other numerical and experimental work. for using the techniques offers The modelling a
Straus et al.: Evidence-Based Medicine, 3rd Edition - How to Practice and Teach EBM

After retrieving evidence about a test’s accuracy, questions 1 and 2 suggest we need to decide if it’s valid and important before we can apply the evidence to our individual patients. As with therapy, the order in which we consider validity and importance is not crucial, and depends on individual preference, but both should be done before applying the study results. Because the screening and early diagnosis of symptomless individuals have some similarities with, but also some crucial differences from, the diagnosis of sick ones, we’ll close with a special section devoted to these acts at the interface of clinical medicine and public health.
CO-SIMULATION OF HARDWARE RTL AND SOFTWARE SYSTEM USING FMI

Software-hardware co-design enabled with co-simulation is useful for building embedded computing systems. Indispensable to design is developing hardware and software simulation models at appropriate abstraction levels. Toward this goal, this paper presents a study of combined Register-Transfer-Level (RTL) and software system modeling. Specifically, composition of hardware and software models is proposed and a co-simulation environment to simulate the models is developed. The hardware and software parts of a prototypical Network on Chip (NoC) system are modeled and simulated. The hardware part is specified at RTL level using the DEVS Suite Simulator and the software part defined as a MATLAB script. A Functional Mock-up Interface (FMI) is developed for the DEVS-Suite Simulator to support hardware and software model coupling and co-simulation. This study details a modular development of hardware and software models executing on disparate environments instead of employing a monolithic modeling method supported with a monolithic simulation engine.
Daughters and Mothers Exercising Together (DAMET): Effects of Home- and University-Based Interventions on Physical Activity Behavior and Family Relations

Abstract This study compared two interventions in terms of impact on physical activity participation and mother–daughter relations. Previously sedentary mothers and daughters (N = 34) were randomly assigned to a 12-week university- or home-based physical activity group. Program activities were designed using focus group information, aspects of the social cognitive theory, and information from previously successful interventions. The university-based group met three times a week for fitness building and recreational activities. The home-based group received a packet of information and training to perform activities in or near the home. Changes in physical activity and family bonding were assessed for mothers and daughters separately using a 2 (group)(2 (time) repeated measures analysis of variance. On completing the program, mothers and daughters in each group reported increased participation in physical activity (p=.02 to .000). The majority of mothers (94%) and daughters (88%) agreed that “my relationship with my daughter/mother has improved as a result of participating in physical activity together. ” On the Parental Bonding Instrument daughters reported no statistically significant changes in their perceptions of “mom's level of caring” (p=.73); however, “mom's level of control” (p ≤ .05) increased. Group by Time interactions were not significant, indicating that there were no differences between results from either program. Both home- and university-based physical activity programs may be viable paradigms in which to improve family relations and increase physical activity.
Initial Validation of a Math Progress Monitoring Measure for Prekindergarten Students

Given the importance of math in today’s society, it is critical that children who are at risk for math difficulty are identified early. We developed and validated a prekindergarten math subtest (i.e., CIRCLE Progress Monitoring [CPM] Math Subtest). This teacher-completed measure evaluates domains considered important for later math development. Evaluation of validity was undertaken in a longitudinal sample of 383 children (Mage = 4.9 years), and a follow-up sample of 3,691 children (Mage = 4.4 years). The measure demonstrated adequate psychometric properties, including strong internal consistency reliability (α = .94) and test–retest reliability (r = .78). Evaluation of concurrent and predictive validity demonstrated scores on the CPM Math Subtest were correlated with scores on other assessments at high levels (rs from .55–.65). Exploratory and confirmatory factor analyses revealed that the subtest conforms to a well-defined five-factor model that parallels areas considered to be important in the math literature.
Directional detection of dark matter in universal bound states

It is widely accepted that the Standard Model particles do not make up the entire matter budget of the Universe. This profound realization that most of the matter in our Universe is not electromagnetically visible comes from observations of the largest to the smallest scales of the Universe [3{6]. Solutions to this \missing light" problem range from a phenomenological modication of Newton’s laws [7] to postulating the presence of a new electromagnetically neutral particle, dark matter [8]. The latter solution is more appealing and economical as it is able to solve this conundrum at all scales of the Universe.