Miracle-dz/UniFAR-FTUs huggingface dataset:
Lower-body negative pressure/ergometer exercise in bed rest: Effects on female orthostatic tolerance

Abbreviations: ALD: Aldosterone; ANGII: Angiotensin II; ANOVA: Analysis Of Variance; AVP: Arginine Vasopressin; BMI: Body Mass Index; BP: Blood Pressure; BR: Bed Rest; CO: Cardiac Output; CON: Control Group; DBP: Diastolic Blood Pressure; ECG: Electrocardiogram; E2: Estradiol; Ergo: Ergometer; Hb: Hemoglobin; HCT: Hematocrit; HDBR: Head-Down Bed Rest; HR: Heart Rate; LBNP: Lower Body Negative Pressure; MSV: Mean Of SV; NASA: National Aeronautics And Space Administration; NE: Norepinephrine; OI: Orthostatic Intolerance; POTS: Postural Orthostatic Tachycardia Syndrome; PV: Plasma Volume; RAAS: Renin-Angiotensin-Aldosterone System; R-2: 2 Days Before Bed Rest; R+1: The Day Immediately After 15 Days Of Bed Rest; R+5: 5 Days After Bed Rest; SBP: Systolic Blood Pressure; SD: Standard Deviation; SE: Standard Error; SV: Stroke Volume; TPR: Total Peripheral Vascular Resistance; VO2peak: Peak Oxygen Uptake
Building risk matrices from interview transcripts utilising HCA and IPA

This paper proposes a methodological guideline for analysing interview transcripts to aid in the construction of risk matrices. This is to allow for the tabulation of qualitative data in a suitable manner as to provide appropriate qualitatively informed recommendations. Using this methodology, a comprehensive and qualitatively supported table to register concerns, priority and/or urgency of themes is created that can address inter-and intra-actor factors in socio-technical systems. The analysis aims to communicate the in-depth, rich data of narrative inquiry in verbal protocols to more technical or quantitative domains.
Desk reference of functional polymers : syntheses and applications

Discusses the synthesis, properties, and current and potential applications of a wide variety of functional polymers in four major areas: radiation effects and applications, opolelectronic properties and applications, chemical and physicochemical applications, and biomedical applications. Reviews the general synthetic methods for preparing functional polymers. Examines functional polymers with properties of interest in such fields as microlithography, photochemistry, nonlinear optics, electrical conductivity, chemical sensors, electron and energy transfer processes, polymeric liquid crystalline networks, chiral liquid crystalline polymers, solar energy utilization, floculation of minerals, catalysis, polymeric dental aids, polymer-drug conjugates, biocompatible polymer surfaces, and drug targeting by functional polymers.
Traditional and New Methods of Bone Age Assessment – An Overview Prokop-Piotrkowska M et al. Methods of Bone Age Assessment

Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a hand and wrist radiograph and its analysis with Greulich-Pyle or Tanner-Whitehouse atlases, although it has been about 60 years since they were published. Due to the progress in the area of Computer-Aided Diagnosis and application of artificial intelligence in medicine, lately, numerous programs for automatic bone age assessment have been created. Most of them have been verified in clinical studies in comparison to traditional methods showing good precision while eliminating interand intra-rater variability and reducing significantly the time of assessment. Also, there are available methods of assessment of bone age without X-ray exposure, like via ultrasound devices or MRI.
BEHAVIOR CHANGE IN BPD 1 Countering Emotional Behaviors in the Treatment of Borderline Personality Disorder

Objective: The purpose of the current study was to investigate the unique effects of a commonly used skill incorporated into treatment packages for borderline personality disorder (BPD), countering emotion-driven behavioral urges. Method: Individuals with BPD (N = 8) participated in a single-case experimental design (SCED), specifically a multiple baseline, in which they were randomly assigned to complete a baseline assessment-only phase of two or four weeks. Participants then received four sessions of the Countering Emotional Behaviors module from the Unified Protocol (UP), followed by a four-week follow-up phase. Throughout the duration of the study, daily data capture was employed to assess real-time changes in the frequency of emotionally-avoidant behaviors in response to emotional experiences. Symptoms of BPD, depression, and anxiety were also assessed. Results: By follow-up, the majority of patients demonstrated a meaningful reduction (per SCED guidelines for evaluating improvements) in their use of avoidant behaviors. There was also preliminary evidence that encouraging participants to act counter to avoidant urges is associated with decreases in BPD, depression, and anxiety symptoms, as well as negative affectivity. Conclusions: The Countering Emotional Behaviors skill from the UP indeed engages its putative target of emotionally-avoidant behavioral coping, indicating it is an active ingredient in multi-component treatment packages for BPD with implications for downstream clinical endpoints such as BPD, depressive, and anxiety symptoms.
Turbulence and inertial effects in a porous bed: DNS and flow analysis

Direct numerical simulation (DNS) of pore-scale turbulence is performed in a unit cell of a face-centered cubic lattice at three different pore Reynolds numbers (300, 500 and 1000). Eulerian statistics of mean and fluctuating velocity field, turbulent kinetic energy (TKE) budget, and single and two-point correlations are obtained to quantify the effect of confinement on turbulence in porous media. Large acceleration and deceleration regions in the flow field yield negative TKE production and flow features similar to a jetimpingement-like flow. The flow field is also analyzed using angular Lagrangian statistics (Bos et al. 2015) of fluid particles to study the temporal evolution of the direction change and its asymptotic behavior, the latter being hypothesized to be dependent on the pore geometry. A stochastic Monte Carlo-based model is developed to provide a reasonable prediction of this asymptotic curvature angle. The Eulerian and Lagrangian correlations are used to characterize pore-scale dispersion.
Modeling of the 13-14 December 2001 IMPROVE 2 Case

Despite recent advances in the ability of mesoscale models to accurately simulate synoptic and mesoscale features associated with storm systems, quantitative precipitation forecasting (QPF) remains a problem. Previous studies have indicated that some QPF errors can be traced to mesoscale models’ bulk microphysical parameterizations (BMPs), which are used to simulate cloud and precipitation processes (Colle and Mass, 1999; Colle et al., 1999, 2000). In order to isolate errors in BMPs, it is important to confirm that the model is accurately depicting the dynamics and mesoscale features associated with storm systems. Only after ensuring the mesoscale models’ thermal structure, kinematics, and mesoscale features are correctly depicted, can the microphysical aspects of the simulations be evaluated. In order to compile a comprehensive data set needed to isolate errors in BMP schemes from kinematic or dynamic errors in the model, the IMPROVE II field experiment was undertaken in November and December 2001 (Stoelinga et al., 2003). This paper will focus on modeling of the 13-14 December 2001 storm system which occurred during the IMPROVE II field campaign.
Study on novel photochromic systems based on chromophores with six-membered ring as central ethene bridge

A series of photochromic bisthienylethenes (BTE) chromophores with different central ethene bridges were synthesized. Up to date, the rational design of BTE have been mainly carried out on the side aryl groups. In our work, the influence of the aromaticity of the central ethene bridge on the photochromic properties was studied. Moreover, unlike in the literature where most of BTE have a five-membered ring bridge, six-membered ring bridges were used. In Chapter 1, examples of photochromes are given, along with the main definitions. Chapter 2 deals with BTTE, a BTE with a benzobisthiadiazole bridge and with excellent photochromic properties. c-BTTE, the closed isomer, exhibits excellent thermal stability in various solvents and in the solid state. Its fluorescence can be modulated by solvato- and photochromism. It eliminates the usual bias of thermal back reaction, typical of BTE with a six-membered ring ethene bridge. Chapter 3 is devoted to compounds with bridges having different aromaticities (BTE-NA, BTA and BTTA). Their fluorescence can be modulated by solvato- and photochromism. The relation between aromaticity and thermal stability was established: the low aromaticity of the central ethene bridge with benzobisthiadiazole unit leads to a thermal irreversibility for BTTA, and the small energy barrier between the parallel and anti-parallel conformers and the great difference in absorption between BTTA and c-BTTA allow the full conversion from BTTA to c-BTTA. Molecules with a benzothiadiazole bridge, designed for complexation and for switchable nonlinear optical properties were prepared (Chapters 4 and 5). However, the targeted properties were not evidenced up to now.
Evaluating System Usability of Augmented Reality in Flight Operations

The human-centred design of augmented visualisation aids can have significant effect on human performance and cognitive processes by increasing an operator’s capability to manage complex checklists. This study investigated the use of an Augmented Reality (AR) device as a cockpit integration tool and the possible new challenges relating to Human-Computer interactions it induces. Seventeen aviation professionals (pilots, engineers, and training pilots) aged from 23 to 53 (M=29.82, SD=8.93) participated in this experiment. Their flight experience ranged from zero flight hours to 3000 flight hours (M=605.00, SD=1051.04). Two types of interaction - by gesture and voice control, have been compared with traditional paper checklists. The results show that gesture control AR gives rise to unnecessary complexity and tends to be cumbersome to use. On the other hand, voice control AR checklists could constitute an improvement in terms of usability of checklists completion in flight operations. Paper checklists tend to score higher in terms of ‘learnability’ as it is the simplest way to use a traditional checklist. It is also interesting to find that voice control AR checklists tend to be rated as the highest on both the total score of System Usability Scale (SUS) and in terms of ‘usability’. These phenomena are consistent with the comments of participants that they would prefer to apply a voice control AR checklist over a paper checklist, if they were more familiar with it in the future. The improvement in modes of interaction and the presentation of information could lead to changes in usability and operational procedures. There is a need for further exploration of the implications of AR technology on the flight deck before implementation.
Process Optimization In The Production And Preservation Of 'Ugba', A Nigerian Fermented Food

Ugba is a Nigerian indigenous, protein rich food obtained by solid state fermentation of seeds of African oil bean (Pentaclethra macrophylla) seed. It has a short shelf life of about 3-5 days. The mixed culture fermentation process converts the bitter and hard seeds to a soft, cherished protein rich product. Process optimization of the production using starter cultures, bottle/cup, packaging and locally adaptable pasteurization technique were evaluated. Starter cultures of washed cells of Bacillus subtilis and Bacillus megaterium were used to ferment the sliced and sterilized cotyledons of the seeds in sterile round, wide – mouth bottles and aluminum cups with covers for 48 hours at room temperature (30±20C). The colour, taste, aroma, softness and other physicochemical properties of the product before and after keeping for six weeks compared favourably well with the locally produced ‘ugba'. No microbial growth was obtained from the product after the pasteurization and at the end of the storage period. The method achieved a reduced fermentation time, an increased keeping quality and a new packaging method that holds great prospects for canning and large scale production of the product.
Efficient Attention Calibration Network for Real-Time Semantic Segmentation

In recent years, the attention mechanism has been widely used in computer vision. Semantic segmentation, as one of the fundamental tasks of computer vision, has been subject to tremendous development as a result. But because of its huge computing overhead, attention-based approaches are diﬃcult to use for real-time applications such as self-driving. In this paper, we propose a self-calibration method baesd on self-attentiion that successfully applies the attention mechanism to real-time semantic segmentation. Speciﬁcally, a spatial attention module to adjust the edges of the coarse segmentation results which gained from the real-time semantic segmentation backbone network, and obtain more granular segmentation results. We refer to this method as the Eﬃcient Attentional Calibration Network (EACNet). Experiments on the Cityscapes dataset validate the eﬃciency and performance of the method. With the high-resolution input and without any post-processing, EACNet achieved 72.4% mIoU of accuracy while running at 116.9 FPS. Compared to other state-of-the-art methods for real-time semantic segmentation, our network gained a better balance between performance and speed.
Assessing Systematic Literature Review Bias: Kaizen Events in Hospitals Case Study

A systematic literature review (SLR) is a protocol used to identify publications, select relevant publications, collect data, conduct scientometric analyses, and report research results (SLR outcomes or findings). Despite the increasing use of SLR to assess the maturity or evolution of a research field, as Engineering Management, there are a limit number of publications focused to test SLR biases. Therefore, the purposes of this investigation are to test search field bias (precise SLR vs. sensitive SLR) and to identify statistically significant differences between SLR outcomes. In order to achieve these goals, a three steps methodology was used in three platforms/databases. First, a precise SLR in ProQuest (search terms only in abstract) was conducted to identify publications describing a single Kaizen event in a hospital. From these publications, five metrics were assessed: new authors per year, number of authors per paper, number of publications per year, Kaizen event duration (days), and number of tools used during the Kaizen event per paper. Second, a sensitive SLR in ProQuest (search term in full text) was conducted using the same search terms, exclusion criteria, and metrics from the first step. Third, t-test hypotheses were conducted in SPSS version 20 to identify statistically significant difference for each metric between precise SLR vs. sensitive SLR. The same three steps were used in two more platforms/databases: EBSCOhost and Scopus. Initial results from this ongoing investigation show statistically significant differences between precise SLR and sensitive SLR for some of the five metrics assessed, such as the number of publications per year. Final results will be available in November 2018.
BESS LOCATED IN PRIMARY SUBSTATION FOR RES INTEGRATION AND ANCILLARY SERVICES PROVISION

In this paper a model for simulating provision of multiple services via Battery Energy Storage System (BESS) is presented. The results of several sets of simulations are proposed. Applications analysed are renewable energy source support and provision of frequency regulation via BESS. The approach proposed is designed with respect to many directions: the system operator perspective (accuracy and reliability of the service provision are the main goals); the economic viability perspective (highlighting capex, cash flows, return on investment); the technology perspective (i.e. evaluating the impact that different setpoints could have on the BESS state of health), via qualitative and quantitative analysis of the level of exploitation of the system. The final goal is to evaluate the feasibility in the provision of multiple services simultaneously.
Phytochemicals and Anti-Inflammatory Activity of Melicope Ptelefolia Champ Ex Benth

Leaves of Melicope ptelefolia Champ ex Benth were examined for phytochemicals. Using various chromatography techniques such as normal column chromatography, gel filtration on sephadex LH-20 and radial chromatography seven compounds were isolated namely, kokusaginine (94), p-sitosterol (llo), p-0-geranylcoumaric acid (102), 3- geranyl-2,4,6-trihydroxyacetophenone (1 1 I), the tentatively assigned compound benzopyranone (1 12), 4',5-dihydroxy-3,3',7-trimethoxyflavone (1 13) and scoparone (86). 3-Geranyl-2,4,6-trihydroxyacetophenonew as identified as a new natural product, which was previously reported as a synthetic compound. Nitric oxide (NO) inhibitory assay using RAW 246.7 murine monocytic macrophage and soybean lipoxygenase inhibitory assay were carried out in the primary screening of the crude methanolic extract, the hexane, dichloromethane and ethyl acetate fractions. Both the hexane and dichloromethane fractions were shown strongly to inhibit nitric oxide production with an ICso of 27.8 1 pglml and 34.13 pg/ml respectively. Meanwhile, inhibition of soybean lipoxygenase activity was shown only by the dichloromethane fraction at ICso 48.0 1 pg/ml Further anti-inflammatory investigation on the isolated compounds showed that kokusaginine significantly inhibited NO production with an ICso of 12.09 pglml (46.69 pM), while 3-geranyl-2,4,6-trihydroxyacetophenone inhibited formation of (9Z, 11E)- (1 39-1 3-hydroxyoctadeca-9,ll -dienoate with an ICsO of 7.35 pglml(24.17 pM). 3-Geranyl-2,4,6-trihydroxyacetophenone was further evaluated towards inhibition of cysteinyl leukotriene (CysLTs) production. The result showed that this compound significantly inhibited the production of CysLTs with an ICso of 12.13 pM. This was slightly lower than the ICso of nordihydroguaretic acid (8.13 pM) which was used as the reference drug.
Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation

The COVID-19 pandemic has been truly global and multidimensional in scope, with ramifications extending well beyond health. Yet, unlike previous crises, there is hope that timely release of relevant data sets, as well as advents in AI (artificial intelligence) technology, could lead to compressed timescales in finding a vaccine or cure. Despite the huge existing body of academic literature on the coronavirus family, searching through such a corpus, including new research that has emerged in the wake of the crisis, is a daunting task even for experts. Simple keyword search over such corpora is insufficient for experts who want answers to questions that require linking together multiple pieces of information across documents. In this article, we review an innovative AI technology called a knowledge graph (KG) that could be used to fulfill such complex information needs. We detail the potential for KGs to play an important role in the fight against COVID-19. We also cover challenges and ongoing collaborative implementations of COVID-19 KGs in industry and academia.
Economical Modeling for Managing the Power Transaction of EVs and Power Market in Smart Parking Lots

The battery of electric vehicles (EV) can be charged from the power grid or discharged back to it. Parking lots can aggregate hundreds of EVs which makes them a significant and flexible load/generation component in the grid. In a smart grid environment, the smart parking lot (SPL) can benefit from the situation of the simultaneous connection to the EVs and power grid. This paper proposes a new algorithm to maximize SPL profit from participation in the forward and spot markets. Monte-Carlo simulation is used to determine the participation of the SPL in the forward market. Then an economic model is proposed to optimize the charging or discharging time table of EVs at any hours of a day and SPL participation in the spot market in a way that maximum SPL profit and satisfaction of EV owners can be gained. The Genetic Algorithm (GA) is used to solve this optimization problem.
CLASSIFICATION OF PUBLIC RADIO BROADCAST CONTEXT FOR ONSET DETECTION

: This research focuses on the investigation of a unified methodology for the onset detection in Sri Lankan radio broadcast context with the approach of classification of the broadcast context. Various audio patterns in the broadcast context were observed and a supervised learning approach was employed in the classification process. Different audio features were examined with respect to the broadcast context. Identified audio semantics in the broadcast context were used in refining the output gained in supervised learning models. Onsets were predicted using the classification results. The evaluation method was carried out with ground truth data obtained from a Sri Lankan FM broadcast recording. The proposed approach provided the accuracies of 41% for news, 76% for radio commercials, 75% for songs and 59% for other voice related segment classification. The onset detection model was successful in predicting the onsets with an error rate of (+/-) 2.5s with approximately 82% of accuracy level.
Bio-efficacy of newer insecticides in combination with neem product against plant hoppers of rice

A field experiment on bio-efficacy of new insecticides in combination with neem products against plant hoppers of rice was conducted during kharif 2017 at Central Research Farm, Department of Entomology, Orissa University of Agriculture and Technology (OUAT), Bhubaneswar. Insects recorded on rice during the period of study were white-backed plant hopper, Sogatella furcifera (Hovarth), brown plant hopper, Nilaparvata lugens (Stal.). Seven insecticidal treatments viz. flonicamid 50% WG @ 75g a.i./ha, buprofezin 25% SC @ 200 ml a.i/ha, imidacloprid17.8% SL@35gm a.i/ha, flonicamid 50%WG @ 37.5 g a.i./ha + multineem (300ppm) @ 1.25l/ha, buprofezin25%SC @ 100 ml a.i./ha + multineem (300ppm) @ 2.5l/ha, imidacloprid 17.8%SL @ 17.5 ml a.i./ha + multineem (300ppm) @ 1.25l/ha, multineem (300ppm) @ 2.5l/ha were field evaluated against WBPH and BPH. Results revealed that foliar spray of imidacloprid 17.8%SL @ 17.5 ml a.i./ha + multineem (300ppm) @ 1.25l/ha at 55 DAT and 70 DAT was adjudged to be the most effective treatment followed by imidacloprid 17.8% SL@35gm a.i/ha taking into account of its better efficacy on plant hoppers with 87.59 percent reduction in WBPH and 89.65 percent reduction in BPH. Hence imidacloprid (17.8% SL @ 17.5 ml a.i./ha) in combination with neem [multineem (300ppm) @ 1.25l/ha] may be recommended for control of WBPH and BPH in rice.