Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of HEMT multilayered structures using a 2D finite volume model

This paper uses a 2D finite volume numerical model to predict the steady state and transient temperature distributions in a High-Electron-Mobility Transistor (HEMT). The numerical predictions are confirmed through comparison with analytical solutions of the one and two dimensional steady and transient heat equations. We analyze the thermal performance of several HEMT geometries with varying substrate materials. Devices with wider gates lying directly on highly conductive substrates (e.g., diamond) have significantly less thermal resistance, by as much as 90 percent. Finally, we investigate the temperature response to a frequency modulated heating event. This result indirectly applies to thermal measurements using 3ω electrical thermometry.
Modified Hodge Test versus Indirect Carbapenemase Test: Prospective Evaluation of a Phenotypic Assay for Detection of Klebsiella pneumoniae Carbapenemase (KPC) in Enterobacteriaceae

ABSTRACT The currently recommended phenotypic test for the detection of carbapenemase-producing members of the family Enterobacteriaceae is the modified Hodge test (MHT). However, the MHT lacks specificity. Here we demonstrate an alternative phenotypic test, the indirect carbapenemase test, for the detection of bla KPC-producing isolates that has specificity superior to that of the MHT for non-Klebsiella Enterobacteriaceae.
DETERMINAN KINERJA KEUANGAN ASURANSI SYARIAH DI INDONESIA PERIODE 2014-2016

This study aims to determine the effect of exogenous variables Leverage, liquidity, Company Size, and Company Age on profitability with proxy ROA. This research uses quantitative approach by using secondary data in the form of financial statements of sharia insurance companies which listed on Otoritas Jasa Keuangan (OJK) in year 2014-2016. Regression result by using technique of panel data analysis with eviews 6. In this reasearch shows that the variables of Leverage, Liquidity, Company SizeandCompany Agesignificant effect on the profitability of sharia insurance companies simultaneously. Partially, significant Leverage and Company Age at 0,1 (10%) has significant negative effect towards on ROA but there is no effect in the variables of liquidity andCompany Sizetowards on Profitability of 93.8%. for 6,2 %, it is affected by other variables which are not included in this research.
Management Accounting and Supply Chain Strategy

Research positioned in the intersection between management accounting and supply chain management is increasing. However, the relationship between management accounting and supply chain strategies has been neglected in extant research. This research adds to literature on management accounting and supply chain management through exploring how supply chain strategy and management accounting is related, and how supply chain relationship structure modifies this relation. Building on a contingency theoretical lens as well as literature within management accounting and supply chain management, a research model is developed. The research model highlights two basic forms of fit. First, fit between lean-and agile supply chain strategies, and supply chain management accounting practice. Second, supply chain relationship structure, modelled as the extent to which a firm organizationally integrates activities with customers and suppliers, is a moderating variable and. When misfits occur this may lead to negative performance effects and have implications for the competitiveness of the firm and the supply chain system as a whole. This study makes a contribution to the literature by conceptualizing the elements of management accounting in a context of the supply chain and by relating it to supply chain strategy and supply chain relationship structure. A set of generically different supply chain management accounting postures are proposed and the notion of design/use flexibility of a supply chain management accounting technique proposes.
Robust cross-lingual genre classification through comparable corpora

Classification of texts by genre can benefit applications in Natural Language Processing and Information Retrieval. However, a mono-lingual approach requires large amounts of labeled texts in the target language. Work reported here shows that the benefits of genre classification can be extended to other languages through cross-lingual methods. Comparable corpora – here taken to be collections of texts from the same set of genres but written in different languages – are exploited to train classification models on multi-lingual text collections. The resulting genre classifiers are shown to be robust and high-performing when compared to mono-lingual training sets. The work also shows that comparable corpora can be used to identify features that are indicative of genre in various languages. These features can be considered stable genre predictors across a set of languages. Our experiments show that selecting stable features yields significant accuracy gains over the full feature set, and that a small amount of features can suffice to reliably distinguish between different genres.
Geometric properties of a large set of random signals

For a bandwidth-limited, power-limited communication channel corrupted by additive white Gaussian noise, Shannon (1949) showed that, at any information rate below the channel capacity, an arbitrarily low error probability can be obtained when the transmitted signal is selected from a set a of M independent, white-Gaussian-noise-like waveforms having the prescribed power and bandwidth. He utilized a space whose points represent transmitted or received signals. Since for each possible received signal there is a most likely transmitted signal, this space is divided into decision regions {R/sub t/}, one associated with each member s/sub t/ (i=1, 2,., M) of set s/sub t/ This article investigates some of the geometrical properties of these decision regions: their shape, size and number of faces, distances from s/sub t/ to R/sub t/'s nearest face or edges of various sorts, etc., thus providing insight into how random coding succeeds in achieving arbitrarily good performance.
Cutaneous involvement in the lymphoepithelioid variant of peripheral T‐cell lymphoma, unspecified (Lennert lymphoma). Report of a case and review of the literature

Lennert lymphoma (LL), or the lymphoepithelioid variant of peripheral T‐cell lymphoma, is an uncommon entity with rarely seen or reported presentations in the skin. Cutaneous involvement of LL has been characterized by asymptomatic, non‐ulcerated, red to violet papules, nodules and small plaques (less than 5 cm) on the trunk and extremities. Histologically, there are localized cellular lymphoid infiltrates in the dermis that tend to localize around blood vessels or skin appendages. Key to the diagnosis of LL is the presence of epithelioid histiocytes and atypical small lymphoid cells without increased vascularity or epidermotropism. Immunophenotyping shows a dense monoclonal T‐cell population commonly associated with aberrant loss of T‐cell‐associated antigens. T‐cell receptor gene rearrangements are also identified. Patients typically present with advanced stage and have a low 5‐year survival. Herein, we present a case of cutaneous involvement by LL at the time of initial presentation that persisted after initiation of chemotherapy and was finally verified as secondary cutaneous involvement of LL 1 year later histologically, immunophenotypically and by T‐cell receptor gene rearrangement studies.
High Intraindividual Variation of N-Terminal Pro-B-Type Natriuretic Peptide in Urine of Patients with Stable Chronic Heart Failure: Comparison with Plasma.

Metaanalyses have revealed that natriuretic peptide–guided therapy is superior to symptom-guided therapy in groups of patients with chronic heart failure (HF)1 (1). However, the large intraindividual CV (CVi) of plasma N-terminal prohormone of brain natriuretic peptide (NT-proBNPp) precludes its applicability for guided therapy optimization in the individual chronic HF patient (2). Natriuretic peptides are secreted in a pulsatile manner (3). These pulses may attenuate by measuring NT-proBNP in urine (NT-proBNPu). A statistically significant difference between pre- and posttreatment NT-proBNP requires comparison with the reference change value (RCV), usually calculated from 2.8 × the total variation (CVt). For NT-proBNPp, CVt mostly comprises CVi and less analytical variation (CVa) (2). CVi reflects natural fluctuations of NT-proBNP in a stable situation. We collected corresponding plasma samples and urine portions according to within-day, day-to-day, and week-to-week protocols similar to those previously described (2). To study whether measurement of NT-proBNPu is superior to that of NT-proBNPp for treatment optimization in individual chronic HF patients, we compared RCVs of NT-proBNP in urine and plasma from stable chronic HF patients living in Curacao. The Medical Ethics Committee of the St. Elisabeth Hospital in Curacao approved the study, which also conformed to …
Automatic reflection removal using reflective layer image information

This paper tries to address the problem of removing unwanted reflection layer from the image mixtures. These reflections may occur due to semi-reflective glass mediums. This demands separating the input image into the reflecting layer and the subject layer, also known as, background layer which is the actual scene itself. But decomposing a single input image into these two layers is a massively ill-posed problem with infinite combinations of decomposition. This type of problem falls under the category of blind source separation. There are ample classical separation approaches available in the literature which either requires multiple images or works on a single image with user assistance. In this paper we propose a method for separating the two layers from a single input image without any user or human intervention using some prior information about the reflective layer.
Serologic test combinations for safe detection of rubella infections.

Today a great number of serologic tests, including commercial kits, are available for rubella antibody testing. The performance and quality of various commercial tests (ELISA Enzygnost [Behring], Rubazyme [Abbott], Rubenz M [Northumbria/Biosigma], single radial hemolysis [e.g., Koch & Merk]) with a great number of selected sera were compared with those of conventional methods (hemagglutination-inhibition test, sucrose density gradient ultracentrifugation), and certain test combinations were selected. These proved useful for safe and rapid diagnosis of the stage of natural, vaccinal, and congenital rubella infection and for the determination of the immune status in pregnant women.
Gas-phase acidity and dynamics of the protonation processes of carbidopa and levodopa. A QM/QD study

The present work details, our efforts to investigate and compare the acid–base properties of levodopa (LD) and carbidopa (CD), a drug combination being used in the treatment of Parkinson’s disease. Protonation and deprotonation were examined for all possible sites in the two drugs. Proton affinity and proton detachment enthalpies were computed at the B3LYP/6–311++G** level of theory. Results of the present work reveal that CD is more basic and can abstract protons in solution much more efficiently than LD. Furthermore, at all deportation sites considered, CD is more acidic than LD. DFT-based ADMP, dynamic simulations have been performed to explore the dynamics of the protonation processes in LD and CD. Thus, while the dynamics of the protonation process of LD is very straightforward leading to the formation of the corresponding cation, the protonation process in CD is very complex involving a major geometry change and rearrangement. Results of the present work reveal that the active species in acid medium is not CD in its normal geometry but a carbonyl hydrazine form instead. The presence of the carbonyl group β to the hydrazine group may very well underlie its enhanced activity which allows it to bind to the active site of the DDC enzyme. The relative stabilities of various water–water–CD complexes have been computed and compared.
CO2 Emissions from Freight Transport and the Impact of Supply Chain Management - A case study at Atlas Copco Industrial Technique

Freight transport is a large contributor to emissions of CO2 and to mitigate its environmental impact is essential in strive for a sustainable future. Existing reports usually discuss the issues from a national or global perspective, but rarely provide any concrete or practical information on an organizational level. This report aims to describe the key driving factors of CO2 emissions caused by freight transport and recommend suitable measures for organizations to mitigate their environmental impact. To do this, a case study at Atlas Copco’s business area Industrial Technique (ITBA) is performed, four different business scenarios are created and the emissions from the scenarios are simulated. ITBA is a decentralized organization with most of the production sites and sub suppliers in Europe. Over 90% of the finished goods are sent to a distribution center in Belgium and then delivered to the customers. Today, most customers are located in Europe and this market accounts for nearly 80% of the distributed weight. However, ITBA believe in a strong growth in the North American and Asian markets and that the customer base will look much different in 2020. More customers at longer distances from the distribution center will lead to a heavily increased use of air freight, resulting in higher emission levels. This study shows a clear correlation between the total CO2 emissions and the share of air freight. In order for ITBA to expand their business and at the same time lower their emissions, actions are required. This report shows that a lower share of air freight and the use of several decentralized distribution centers can reduce the emissions significantly. Other means to lower the emissions include relocation of production sites, education to increase the awareness within the organization and including environmental performance when evaluating third party logistics.
VLSI Circuits and Systems for Directional-Edge-Based Intelligent Image Processing

The continuous progress in semiconductor VLSI technologies during the past several decades has provided the opportunity of realizing real-time intelligent image processing systems such as image recognition, object tracking, motion recognition, etc. However, the traditional approach of running image processing algorithms on general purpose processors is not practical for building efficient systems at rational costs with low power-consumption. Therefore, a number of VLSI chips having parallel processing architectures such as graphics processing units (GPUs) have been developed to enhance the performance. Although the processing time can be reduced greatly, such approaches are not still efficient enough due to the complex and expensive image processing algorithms which usually include a number of floating point operations. In order to resolve the problem of such a large gap between the algorithms and their VLSI implementation and to maximally utilize the power of semiconductor technologies, we try to develop algorithms which are compatible with the physical characteristics of VLSI circuits. The robust nature of the human brain in visual information processing has been attracting a lot of researchers to discover better ways of image processing. Physiology research has revealed that the directional edge information in images is utilized as the most important clue in visual object recognition. Being inspired by such a biological principle, a series of direction-edge-based VLSI-implementationadapted intelligent image processing algorithms as well as the corresponding VLSI circuits and systems have been proposed and developed in our laboratory. This work succeeds the research in such bio-inspired algorithms, circuits, and systems. In order to minimize the latency caused by the image data transfer between the image sensor and the processing circuits, the most serious bottleneck in such systems, digital-pixel-sensor-embedded (DPS-embedded) processors were proposed and designed. The performance of such processor has been verified by building a real-time image recognition system with a very low latency. In
A Three-Phase Active Power Filter Based on Improved Adaptive Harmonic Detection

Aiming at the problems that traditional algorithm has slow convergence rate and that the adaptive method with LPF has the drawback of slow dynamic response, an improved adaptive method for harmonic detecting based on integrated mean value is researched in this paper. Instead of the traditional LPF method, the moving average method is used to obtain the DC components by calculating the mean value of fundamental currents. And a Dual-Buck inverter circuit with a hysteresis current control method is presented in this paper. The simulation results show that a rapid transient response can be obtained under the improved method, and the compensation effects of APFs can meet the requirements of National Standard GB/T 14549-93 and IEC -61000-3-2A. The method is suitable for the harmonics compensation when the supply voltages are of distortion.
Gender Differences in Fatigue Associated With Acute Myocardial Infarction

INTRODUCTION: Fatigue is a symptom of acute myocardial infarction (AMI); however, few studies have characterized the fatigue associated with AMI in men and women. METHODS: The convenience sample included 88 men and 28 women admitted with a diagnosis of AMI at 6 Midwestern facilities. Data were collected upon hospital admission and 30 days after discharge. A total of 37 men and 10 women responded to the 30-day questionnaires. The Profile of Mood States Fatigue (POMS-F) subscale was used to measure fatigue and the Depression-Dejection subscale to measure depressed mood. RESULTS: At baseline, significant gender differences were found, with women more likely to have higher POMS-F scores (15.80, SD = 7.33) than men (11.19, SD = 7.04, P = .004). Significant gender differences were also found at 30 days (t = 2.40, df = 45, P = .02). POMS-F scores for women were higher at baseline, with decreased fatigue levels 30 days after discharge (t = 5.36, df = 9, P ⩽ .05). No differences were found in POMS-F scores for men (t = 1.26, df = 36, P = .213) between baseline and 30 days after discharge. Fatigue was associated with depressed mood and gender at baseline (R2 = 0.48, P < .05) and 30 days after discharge (R2 = 0.308, P < .05). CONCLUSIONS: In this sample, fatigue at baseline and at 30 days after discharge was associated with gender and depressed mood. Women reported high levels of fatigue with AMI and lower fatigue after discharge. Men reported moderate to high fatigue levels, which did not change over time. Further research is needed to discern fatigue patterns before and after AMI.
Mutations of the ALS gene endowing resistance to ALS-inhibiting herbicides in Lolium rigidum populations.

BACKGROUND In the important grass weed Lolium rigidum (Gaud.), resistance to ALS-inhibiting herbicides has evolved widely in Australia. The authors have previously characterised the biochemical basis of ALS herbicide resistance in a number of L. rigidum biotypes and established that resistance can be due to a resistant ALS and/or enhanced herbicide metabolism. The purpose of this study was to identify specific resistance-endowing ALS gene mutation(s) in four resistant populations and to develop PCR-based molecular markers. RESULTS Six resistance-conferring ALS mutations were identified: Pro-197-Ala, Pro-197-Arg, Pro-197-Gln, Pro-197-Leu, Pro-197-Ser and Trp-574-Leu. All six mutations were found in one population (WLR1). Each Pro-197 mutation conferred resistance to the sulfonylurea (SU) herbicide sulfometuron, whereas the Trp-574-Leu mutation conferred resistance to both sulfometuron and the imidazolinone (IMS) herbicide imazapyr. A derived cleaved amplified polymorphic sequences (dCAPS) marker was developed for detecting resistance mutations at Pro-197. Furthermore, cleaved amplified polymorphic sequences (CAPS) markers were developed for detecting each of the six mutant resistant alleles. Using these markers, the authors revealed diverse ALS-resistant alleles and genotypes in these populations and related them directly to phenotypic resistance to ALS-inhibiting herbicides. CONCLUSION This study established the existence of a diversity of ALS gene mutations endowing resistance in L. rigidum populations: 1-6 different mutations were found within single populations. At field herbicide rates, resistance profiles were determined more by the specific mutation than by whether plants were homo- or heterozygous for the mutation.
Role of expectation and memory constraints in Hindi comprehension : An eyetracking corpus analysis

We have used the Potsdam-Allahabad Hindi Eye-tracking Corpus that contains eyemovement data from 30 participants on 153 sentences to investigate the effect of surprisal and retrieval on reading time, while controlling for word-level predictors (word complexity, syllable length, unigram and bigram frequency) and integration and storage costs. We find that surprisal has a significant coefficient in only in First Pass Reading Time while storage cost shows up only in Total Fixation Time, thus indicating that the two measures of predictability capture different cognitive variables.
Representing the Nursing Process With Nursing Terminologies in Electronic Medical Record Systems: A Swiss Approach

This article describes a framework model within a selected nursing classification system for the integration of nursing care processes into a clinical information system. The "Electronic Nursing Process Data Model," project was carried out from July 2004 to October 2006 in the Canton of Zurich in Switzerland. The Zurich Electronic Nursing Process Data Model integrates the nursing diagnosis, outcomes, and intervention terminologies in a standardized manner into the nursing care process within the electronic patient record. Findings of the pretest application in clinical nursing practices revealed that (1) functionalities are logically structured, (2) it is difficult to overview many details of the documentation, (3) a specific "to-do list" retrieved from the electronic system is needed, and (4) free-text entries are important to add description of the patient's situation. Furthermore, a consistent assessment terminology needs to be linked to the nursing diagnosis, outcomes, and intervention terminologies and the descriptions of nursing care process within the Electronic Nursing Process Data Model. As the project team, we recommend to implement the developed Electronic Nursing Process Data Model into professional software of clinical information systems and gradually into clinical practice. Therefore, an appropriate utilization strategy includes issues to improve nurses' understanding of the nursing care process and critical-thinking skills: not even the most comprehensive software program can substitute for facilitation.