Miracle-dz/UniFAR-FTUs huggingface dataset:
Double Refinement Network for Room Layout Estimation

Layout estimation is a challenge of segmenting a cluttered room image into floor, walls and ceiling. We applied Double refinement network proved to be efficient in the depth estimation to generate heat maps for room key points and edges. Our method is the first not using encoder-decoder architecture for the room layout estimation. ResNet50 was utilized as a backbone for the network instead of VGG16 commonly used for the task, allowing the network to be more compact and faster. We designed a special layout score function and layout ranking algorithm for key points and edges output. Our method achieved the lowest pixel and corner errors on the LSUN data set. The input image resolution is 224*224.
CONSISTENCY IN USE CASE TRANSACTION IDENTIFICATION METHODS

Use case transactions are used in Use Case Point (UCP) method beside other functional size measurement methods. It is the smallest unit in functional size measurement while measuring the size of the system. For UCP many methods of use case transaction identification have been proposed. There can be a problem of consistency of functional size measurement due to various approaches of use case transaction identification and analysis of requirements using natural English language. The aim of this study is to investigate consistency in identifying use case transaction of some popular use case identification methods used in industry. A controlled experiment on a group of 27 students was performed to investigate whether the methods for transaction identification, known from the literature, provide similar results. In addition, a qualitative analysis of the experiment data was performed to investigate the potential problems related to transaction identification in use cases. A significant difference in the median number of transactions was observed between groups using different methods of transaction identification. The ANOVA test was performed with the significance level set to 0.05. Although a large intra-method variability was not observed. The ratios between the maximum and minimum number of transactions identified by the participants using the same method were from 1.18 to 1.28. There seems to be no difference between Gustav Karner and Ivar Jacobson methods of finding transactions while there is a considerable difference between these two and Robiolo Orosco. Difference in the values of transactions identification methods can have can have a visible impact on the values of the use-case-based Functional Size Measurement (FSM).
On the Tyranny of the Law

As 1984 approaches, Orwell's vision throws its forward shadow over our perception of our situation. No one ever doubted that law could be made an instrument of tyranny. But there are aspects of 1984 which prompt us to ask whether even the concept of law does not itself constitute a social problem, specifically a deprivation of certain freedoms which in other contexts we value. I shall not be concerned with the extent to which the content of particular legal systems tyrannise their subjects. Rather, my concern is with the ways in which law, by virtue of its formal nature, deprives the subjects of a legal system of freedom. So considered, there are two quite distinct accusations of tyranny which may be levelled at the law: one is so-called “legalism”, which may be regarded as a tyranny of the (intellectual) right; the other is existentialism, viewed as a tyranny of the (intellectual) left. I shall suggest that these two tyrannies in fact represent extreme points on a single spectrum, and that this spectrum may be observed not only in the operation of legal systems, but also in legal philosophy and indeed in theology. In fact, the parallels between legal philosophy and theology may be taken to reflect different (but not historically unrelated) modes of address of the same basic issue in the history of ideas.
Real-Time Control Strategy for CVT-Based Hybrid Electric Vehicles Considering Drivability Constraints

The energy management strategy has a great influence on the fuel economy of hybrid electric vehicles, and the equivalent consumption minimization strategy (ECMS) has proved to be a useful tool for the real-time optimal control of Hybrid Electric Vehicles (HEVs). However, the adaptation of the equivalent factor poses a major challenge in order to obtain optimal fuel consumption as well as robustness to varying driving cycles. In this paper, an adaptive-ECMS based on driving pattern recognition (DPR) is established for hybrid electric vehicles with continuously variable transmission. The learning vector quantization (LVQ) neural network model was adopted for the on-line DPR algorithm. The influence of the battery state of charge (SOC) on the optimal equivalent factor was studied under different driving patterns. On this basis, a method of adaptation of the equivalent factor was proposed by considering the type of driving pattern and the battery SOC. Besides that, in order to enhance drivability, penalty terms were introduced to constrain frequent engine on/off events and large variations of the continuously variable transmission (CVT) speed ratio. Simulation results showed that the proposed method efficiently improved the equivalent fuel consumption with charge-sustaining operations and also took into account driving comfort.
Design of a modified W-shaped patch antenna on Al 2O 3 ceramic material substrate for Ku-Band

An influx of research has been devoted to use different di-electric substrate materials for antenna miniaturization. Design of A modified W-shaped ka band antenna on Al2O3 ceramic substrate is presented in this paper. The W shape is obtained from slotted conventional rectangular shaped patch. The ceramic substrate made with Aluminum oxide (Al2O3) with high dielectric constant and 1.5 mm thickness and the 3.3 mm x 5.5 mm patch is introduced for antenna miniaturization. The finite element method is employed to design and analyze the presented antenna and result shows that the impedance bandwidth (VSWR ≤ 2) of the proposed antenna is 1.23 GHz (20% of entire Ku-Band). The proposed miniaturized antenna is also able to obtain the stable radiation performance with maximum gain of 4.89 dB in the operating frequency band of 16.7 GHz to 17.95 GHz. The projected antenna is designed and simulated by using Ansoft's 3D full-wave electromagnetic field software HFSS and obtained return loss is below -10dB from 16.7 GHz to 17.9 GHz.
Prediction performance of a cardiovascular risk assessment tool using Stanford EHR data repository

Background Stratification of individuals for their risk to develop cardiovascular diseases can be used for effective prevention and intervention. A significant amount of information for risk assessment can be obtained through repurposing electronic health records (EHR). The objective of this study is to derive and assess the performance of prediction models for cardiovascular outcomes by using EHR-derived data. Methods We used the Stanford Medicine Research Data Repository (STARR) data from 2000-2017, containing over 2.1 million patients. A subset of 762,372 individuals with complete International Classification of Diseases (ICD) data was used to fit Cox proportional hazard models for prediction of six cardiovascular-related diseases and type 2 diabetes. Results The derived prediction models indicated consistent high discrimination performance (C-index) for all diseases examined: coronary artery disease (0.85), hypertension (0.82), type 2 diabetes (0.77), stroke (0.76), atrial fibrillation (0.82) and abdominal aortic aneurysm (0.77). Lower prediction abilities were observed for deep vein thrombosis (0.67). These results were consistent across age groups and maintained good prediction abilities among individuals with pre-existing diabetes or hypertension. Assessment of model calibration is ongoing. Conclusions We proposed new prediction models for the seven diseases using ICD codes derived from EHR data. EHR data can be used for health risk assessment, but challenges related to data quality and model generalizability and calibration remain to be solved.
Group Contribution Parameters for Nonrandom Lattice Fluid Equation of State involving COSMO-RS

Group contribution based models are widely used in industrial applications for its convenience and flexibility. Although a number of group contribution models have been proposed, there were certain limitations inherent to those models. Models based on group contribution excess Gibbs free energy are limited to low pressures and models based on equation of state (EOS) cannot properly describe highly nonideal mixtures including acids without introducing additional modification such as chemical theory. In the present study new a new approach derived from quantum chemistry have been used to calculate necessary EOS group interaction parameters. The COSMO-RS method, based on quantum mechanics, provides a reliable tool for fluid phase thermodynamics. Benefits of the group contribution EOS are the consistent extension to hydrogen-bonded mixtures and the capability to predict polymer-solvent equilibria up to high pressures. The authors are confident that with a sufficient parameter matrix the performance of the lattice EOS can be improved significantly. Keywords—COSMO-RS, Equation of State, Group contribution, Lattice Fluid, Phase equilibria.
Extraction and Isolation of -sitosterol from Iraqi Wild Lycium barbarum by Different Techniques (Probe and Bath Ultrasound, HPTLC and PHPLC)

75 Extraction and Isolation of -sitosterol from Iraqi Wild Lycium barbarum by Different Techniques (Probe and Bath Ultrasound, HPTLC and PHPLC) Thukaa Z. Abdul-Jalil, Ahmed A.Hussein and Kawkab Y. Saour Department of Pharmacognosy, College of Pharmacy, University of Baghdad, Baghdad, Iraq. Department of Pharmaceutics, College of Pharmacy, University of Baghdad, Baghdad, Iraq. *** Department of Pharmaceutical Chemistry, College of Pharmacy, University of Baghdad, Baghdad, Iraq. Abstract Lycium barbarum (Awsaj) is a plant belong to family Solanaceae serves as a good source of bioactive compounds like phytosterols which have many important biological activity. Literature survey available so far revealed that there was no studies about Iraqi wild Awsaj phytosterols especially ß-sitosterol, there for the objective of this study was to examine the efficiency of ultrasound assisted extraction (probe and bath) as compared to the conventional (Soxhlet) extraction method for extraction of phytosterols especially -sitosterol from fruits, leaves, stems and roots of Iraqi wild Awsaj plant. This goal was achieved by comparing the extraction mass yield, also by a quick and easy approach for identification and quantification of bioactive -sitosterol in four parts of Awsaj using high performance thin layer chromatography (HPTLC) which confirm the presence of -sitosterol in four parts of Iraqi Awsaj plant and the results clarify that the root part of Iraqi Awsaj plant extracted by probe UAE give the highest concentration (0.610 mg/ml) of B-sitosterol followed by fruits (0.465mg/ml), leaves(0.405mg/ml) and the least was stems(0.275mg/ml); according to these; isolation and purification of ß-sitosterol from petroleum ether fraction of Awsaj roots was done by preparative HPLC. The isolated compound (-sitosterol) was identified by measuring melting point, FT-IR, TLC and preparative HPLC.
Huntingtin phosphorylation governs BDNF homeostasis and improves the phenotype of Mecp2 knockout mice

Mutations in the X-linked MECP2 gene are responsible for Rett syndrome (RTT), a severe neurological disorder for which there is no treatment. Several studies have linked the loss of MeCP2 function to alterations of brain-derived neurotrophic factor (BDNF) levels, but non-specific overexpression of BDNF only partially improves the phenotype of Mecp2-deficient mice. We and others have previously shown that huntingtin (HTT) scaffolds molecular motor complexes, transports BDNF-containing vesicles, and is under-expressed in Mecp2 knock-out brains. Here we demonstrate that promoting HTT phosphorylation at Ser421, either by a phospho-mimetic mutation or inhibition of the phosphatase calcineurin, restores endogenous BDNF axonal transport in vitro in the corticostriatal pathway, increases striatal BDNF availability and synaptic connectivity in vivo, and improves the phenotype and the survival of Mecp2 knockout mice—even though treatments were initiated only after the mice had already developed symptoms. Stimulation of endogenous cellular pathways may thus be a promising approach for the treatment of RTT patients.
Genome-wide identification of SNARE gene in plant and expression pattern of TaSNARE in wheat

SNARE (Soluble N - ethylmaleimide - sensitive - factor attachment protein receptor) proteins are mainly mediated eukaryotic cell membrane fusion of vesicles transportation, also play an important role in plant resistance to fungal infection. In this study, 1342 SNARE proteins were identified in 18 plants. According to the reported research, it was splited into 5 subfamilies (Qa, Qb, Qc, Qb+Qc and R) and 21 classes. The number of SYP1 small classes in Qa is the largest (227), and Qb+Qc is the smallest (67). Secondly, through the analysis of phylogenetic trees, it was shown that the most SNAREs of 18 plants were distributed in 21 classes. Further analysis of the genetic structure showed that there was a large difference of 21 classes, and the structure of the same group was similar except for individual genes. In wheat, 173 SNARE proteins were identified, except for the first homologous group (14), and the number of others homologous groups were similar. The 2000bp promoter region upstream of wheat SNARE gene was analyzed, and a large number of W-box, MYB and disease-related cis-acting elements were found. The qRT-PCR results of the SNARE gene showed that the expression patterns of the same subfamily were similar in one wheat varieties. The expression patterns of the same gene in resistant/sensitive varieties were largely different at 6h after infection. This results might indicate that early stages of the SNARE protein in pathogen infection play an important role. In this study, the identification and expression analysis of the SNARE protein provides a theoretical basis for future studies on the function of the SNARE protein and wheat resistance to powdery mildew.
The Rabbath Method: Philosophy and Technique in Current Double Bass Pedagogy

ii ACKNOWLEDGMENTS . iii DEDICATION . v LIST OF TABLES . xi LIST OF ILLUSTRATIONS . xii CHAPTER I . 1 Reflexive Narrative . 1 François Rabbath: Background . 5 Methods for Double Bass: Historical Background and Considerations for Current Application. 8 Pedagogic and Philosophical Ramifications for Music Education . 14 Research Problem Statement . 17 Purpose of The Study. 18 Research Questions . 18 Primary Research Questions . 18 Secondary Research Questions . 18 Definitions . 19 CHAPTER II LITERATURE REVIEW . 21 Purpose of the Review . 21 vii Educational Philosophy . 21 Music Education Philosophy . 30 Music Learning Theory . 38 Philosophy of Psychology . 44 Effective Teaching . 47 Research into Biomechanics and Ergonomics of String Performance . 51 Prominent String Methods . 57 Prominent Double Bass Methods . 57 Nuovo metodo per contrabasso. 57 Méthode complète pour la contrebasse à quatre et cinq cordes . 58 New method for string bass . 59 The Nouvelle technique de la contrabasse . 60 The Double bass . 60 Other Prominent String Methods. 62 A New approach to violin playing . 62 Six lessons for the violin . 63 Principals of violin playing and teaching . 64 Playing the viola: Conversations with William Primrose . 65 The Suzuki method: Talent Education . 65 George Vance Progressive repertoire . 69 viii Summary of the Review. 72 CHAPTER III – METHOD . 74 Participants . 74 Data Sources and Instrumentation. 74 Distribution of Instrument and Collection of Questionnaire Data . 77 Mixed Method Approach to Analysis . 78 Limitations and Delimitations . 80 CHAPTER IV DATA REPORT AND DISCUSSION . 82 Quantitative Data . 82 What Year Did You Earn the Diploma of the Institute? 82 Where do You Teach? 84 What Genres of Music do You Play Professionally? 85 Approximately How Many Students Have You Taught Using the Rabbath Method? 87 From Which Volumes of the Method did You Study With Rabbath? 89 From Which Volumes of the Method do You Teach? 89 Do You Include Repertoire of the Rabbath Method in Your Performance and/or Your Students’ Performances? Which Repertoire do You Prefer? 90 From Which Double Bass Methods Other Than Rabbath do You Teach, if Any? 92
How to benefit from OpenFOAM capabilities in custom software projects

Die Dokumente in HENRY stehen unter der Creative Commons Lizenz CC BY 4.0, sofern keine abweichenden Nutzungsbedingungen getroffen wurden. Damit ist sowohl die kommerzielle Nutzung als auch das Teilen, die Weiterbearbeitung und Speicherung erlaubt. Das Verwenden und das Bearbeiten stehen unter der Bedingung der Namensnennung. Im Einzelfall kann eine restriktivere Lizenz gelten; dann gelten abweichend von den obigen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.
Decision-Making System for Lane Change Using Deep Reinforcement Learning in Connected and Automated Driving

Lane changing systems have consistently received attention in the fields of vehicular communication and autonomous vehicles. In this paper, we propose a lane change system that combines deep reinforcement learning and vehicular communication. A host vehicle, trying to change lanes, receives the state information of the host vehicle and a remote vehicle that are both equipped with vehicular communication devices. A deep deterministic policy gradient learning algorithm in the host vehicle determines the high-level action of the host vehicle from the state information. The proposed system learns straight-line driving and collision avoidance actions without vehicle dynamics knowledge. Finally, we consider the update period for the state information from the host and remote vehicles.
A Comparative Study of S-S and LCCL-S Compensation Topologies in Inductive Power Transfer Systems for Electric Vehicles

In inductive power transfer (IPT) systems, series–series (S-S) and double capacitances and inductances–series (LCCL-S) compensation topologies are widely utilized. In this study, the basic characteristics of S-S and LCCL-S are analyzed and compared in the tuning state. In addition, considering the universality of detuning, and because the two topologies have the same secondary structures, the voltage and current stress on components, input impedances, voltage gains, and output powers of S-S and LCCL-S are mainly analyzed and compared in the detuning state, which is caused by variations in the secondary compensation capacitance. To compare the efficiency of the two topologies and verify the comparative analysis, comparative experiments based on a 2.4-kW IPT experimental prototype are conducted. The comparative result shows that the S-S compensation topology is more sensitive to load variations and less sensitive to secondary compensation capacitance variations than LCCL-S. Both in the tuning and detuning states, the efficiency of the S-S topology is higher in high-power electric vehicle (EV) applications, and the efficiency of LCCL-S is higher in low-power.
Acute Exercise Response of Caffeine and Nitric Oxide Stimulating Pre-Workout Supplement among Healthy Male Recreational Athletes

The effect of cocktail supplements or “pre-workout” supplements containing L-arginine nitrate and caffeine are equivocal, especially with regard to anaerobic performance. This is related to poor regulation and the rarity of compared individual ingredients. The purpose of this study was to compare anaerobic performance and blood flow of a pre-workout supplement containing L-arginine nitrate and caffeine to caffeine and placebo. In a randomized, double-blind crossover design, 12 resistance-trained males (caffeine users) completed three trials. Biodex concentric-concentric elbow flexion and extension (5 sets of 10 repetitions each) measured dynamic work. Ultrasound measured brachial artery blood flow assessed M-Vel, Vr2 and V-C. Statistical analyses revealed a significant difference in total dynamic work PRE to PLA (P<0.0001) and CAF to PLA (P<0.0001) but not PRE to CAF (P=0.9581). Furthermore, a significant difference Vr2 PRE to CAF (P=0.0391) and PLA to CAF (P=0.0070) and M-Vel PRE to CAF (P=0.0281). In conclusion, the PRE did not differ CAF in strength measures other than a difference in M-Vel. PRE did not greatly improve blood flow as CAF suggests vasoconstriction. PRE compared to PLA were not statically different in blood flow. Therefore the use of a cocktail supplement illustrated no difference beyond individual ingredient. This research may be useful for future cocktail supplement and Nitric Oxide research.
Manifolds, K-theory and the calculus of functors

The Taylor tower of a functor from based spaces to spectra can be classified according to the action of a certain comonad on the collection of derivatives of the functor. We describe various equivalent conditions under which this action can be lifted to the structure of a module over the Koszul dual of the little L-discs operad. In particular, we show that this is the case when the functor is a left Kan extension from a certain category of `pointed framed L-manifolds' and pointed framed embeddings. As an application we prove that the Taylor tower of Waldhausen's algebraic K-theory of spaces functor is classified by an action of the Koszul dual of the little 3-discs operad.
Surface Metrological and Computer-Aided Designing of a Tibia Bone for Region-Specific Implants

Load bearing joints such as knee and hip are the most-prone joints of osteoarthritis. Predominantly, Total Knee Replacement (TKR) and Total Hip Replacement (THR) are done to repair the affected knee and hip joints and reconstructed with metal implants. Proper implant fitting to the patient will avoid further revision surgeries. But, the loosening of implant is the major problem due to the unavailability of suitable implants. Implant manufacturers have designed the implants mostly with respect to the certain region-based population pool data. Most of the time, these implants don’t fit for other region’s people, creating implant loosening problem that leads to revision surgeries. Therefore, this research was aiming at designing region-specific implants with respect to regions. To retrieve the morphometric data from the regions, there is a need for efficient method to measure bones and create Computer-Aided Design (CAD) models. Tibia was taken as the subject for measurement to check for proper method to retrieve dimensions. Coordinate Measuring Machine (CMM), contact mode was used to extract the dimensional data. Since tibia bone is a complex-shaped object, reverse engineering technique was used to develop a fixture box with an aid of Three-Dimensional (3D) printer, to hold the tibia bone for measuring its complex features in eight planes (0o, 45o, 90o, 135o, 180o, 225o, 270o and 315o). The measured data of eight planes were used with the careful usage of preprocessing, registering and merging tools, to generate the master point cloud. The master point cloud was used as base with the integration of CAD tools to design 3D modelling of tibia. A comparative analysis was done between original tibia model and the 3D CAD model. Deviation analysis between the master point cloud and the 3D model was also done and the error was minimal (0.314274 mm). Thus, this work gave accurate results for using alternate scanning system other than Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) for the measurement of bone. This method can be used for retrieving bone dimensions from bone samples obtained from various regions for generating region-specific implants.