Miracle-dz/UniFAR-FTUs huggingface dataset:
Microstrip Transmission on Semiconductor Dielectrics

As a result of both a larger number of microwave functions performed by semiconductor devices and a larger number of functions required in modern systems, it has become highly desirable from both the system and the device standpoint to fabricate multiple microwave semiconductor devices on a common substrate. The use of multiple devices in a single package has system and reliability advantages, but there is also offered the possibility of improved performance of the microwave components. This results from the elimination of packaging of each individual element and the ability to place the package interface in a more advantageous position in the circuit. To effect such an improvement, an efficient means of microwave interconnection must be available. The interconnections must have not only low dissipative losses through the microwave region, but be capable of providing the impedances necessary for transformations by the various microwave functions and for circuit resonating elements. The range of impedance commonly required is of the order of 20 /spl Omega/ to 80/spl Omega/. To be compatible with semiconductor materials and processing, the choice of dielectric material was limited to film dielectrics, possibly SiO/sub 2/, or the use of the semiconductor material itself as a dielectric. For both semi-insulating gallium arsenide and silicon of resistivity greater than 1000 /spl Omega/-cm, the loss is sufficiently low to perform efficient interconnection of devices on a common substrate and is considered even suitable for other components such as directional couplers and hybrids where extremely high Q is not required.
Using Strategy Mapping and Cause-and-Effect Relationship for Measuring ITSP Implementation

Summary The Information Technology Strategic Planning (ITSP) was developed to lead and reflect the organizational achievement and future aspiration. The plan basically includes the information technology (IT) goals and strategies for the next few years. The intention was to justify IT contributions towards the efficiency, effectiveness and competitiveness. The plan may comprise of associated IT projects to achieve the planning strategies. Previous study has concluded that most of the plans are usually hard to manage due to various projects involved. Therefore, many performance measurement models and frameworks have been investigated and exploited to address the problem. Measuring ITSP implementation is important to justify the achievement of the planned projects. The focus of this paper is describing the application of the strategy mapping and causeand-effect relationship approach on measuring the achievement of the strategies and projects involved in the ITSP. This paper also report on the testing results of the related approach on the real case study to identify its applicability and measurability.
Parameter design considering the impact of design changes on downstream processes based upon the Taguchi method

Abstract This research introduces a new systematic approach for parameter design considering the impact of design changes on downstream processes. In this approach, design parameters with potential changes are modelled as noise parameters, while design parameters without potential changes are described as controllable parameters. The Taguchi method is employed to identify the robust design whose downstream process is the least sensitive to design parameter value changes. Since design parameter changes are usually associated with probabilities, the Taguchi method is modified in this research considering the probabilities of noise parameters. Estimation of potential process change cost due to potential design parameter value changes is also studied. A case study in pipeline engineering design and construction has been conducted to demonstrate the effectiveness of this new parameter design approach.
UNSUPERVISED KEYWORD EXTRACTION USING NON-SMOOTH NMF

In this paper, we introduce a novel unsupervised method for keyword extraction, based on non-smooth nonnegative matrix factorization. We generate a document-term matrix from a given corpus and factorize it into the product of two special matrices: documents-by-topics and topics-by-terms. In our method, we choose a low degree of factorization (k=3,4,5) and use only topics-by-terms matrix to extract top N keywords for each of k topics. Then we merge these obtained N*k keywords into a resulting keyword list excluding duplicates and assign keywords to documents. We validate our method with a large text corpora: “Introduction to information retrieval” textbook (by Manning, Raghavan and Schütze), available online. The result of our method is compared with three popular unsupervised keyword extraction algorithms: TextRank, Rake and Yake. The experiments confirm that the proposed method shows the promising performance in terms of precision, recall and F-measure with respect to various number of
Dual‐rail adiabatic pseudo domino logic with high throughput

A new dual‐rail adiabatic logic family is proposed in this paper. Modified dual‐rail improved adiabatic pseudo domino logic with high throughput (MDIAPDL‐HT) is an improved adiabatic logic design aimed at low power and high throughput performance. The basic structure is the same as the MDIAPDL, but with a different clocking system. This results in power savings up to 95 percent compared to the static CMOS. It has higher throughput with a factor of about four compared to MDIAPDL and a factor of two compared to 4ϕ‐IAPDL.
An architecture and methodologies for federated, privacy-enabled personalisation on the Web of Data

Users of the Social Web have come to expect personalised services for recommendations and prioritisation. At the same time, the awareness of users for privacy issues has increased. Yet, privacy and personalisation have conﬂicting objectives. Users need to make their proﬁle data available in order to beneﬁt from personalisation. Service providers on the other hand usually require access to the maximum available amount of data from the user. These developments require new methods and architectures for personalisation which takes federated sources, structured data and privacy into account. In this article we propose an architecture for federated, privacy-enabled eco-systems based on the WebID standard and the FOAF and Web Access Control vocabularies. It enables the creation of a universal “private by default” ecosystem which enables interoperability of user proﬁle data while protecting the privacy of the user. In addition we describe two methodologies for providing personalisation on top of the proposed architecture and the Web of Data. First we describe and evaluate a methodology for using federated, structured data for multi-source recommendations. Then we describe a methodology for exploiting data from different topic domains for cross-domain recommendations. Combined, these two methodologies enable personalisation beyond the context of a single service, by taking user proﬁle data into account from all sources of the users social graph as well as his interest graph.
Application and evaluation of machine-learning model for fire accelerant classification from GC-MS data of fire residue

Detection of fire accelerants from fire residues is critical to determine whether the case was arson or accidental fire. However, to develop a standardized model for determining the presence or absence of fire accelerants was not easy because of high temperature which cause disappearance or combustion of components of fire accelerants. In this study, logistic regression, random forest, and support vector machine models were trained and evaluated from a total of 728 GC-MS analysis data obtained from actual fire residues. Mean classification accuracies of the three models were 63 %, 81 %, and 84 %, respectively, and in particular, mean AU-PR values of the three models were evaluated as 0.68, 0.86, and 0.86, respectively, showing fine performances of random forest and support vector machine models.
Realisation of linear voltage-controlled resistance in floating form

A number of FET-based configurations have been described in the literature that realise linear voltage-controlled resistors (VCRs) in grounded form. However, there are many situations where a linear VCR is needed in floating form. The author considers the realisation of floating linear VCRs (FVCR) which leads to the evolution of a novel low-component-count configuration making it possible to realise a floating as well as grounded VCR both from the same structure with exactly the same number of active and passive elements (i.e. a single opamp, one FET and five resistors). The validity of the proposed formulation has been verified experimentally.
Scientific Foundation SPIROSKI, Skopje, Republic of MacedoniaOpen Access Macedonian Journal of Medical Sciences. 2021 Nov 29; 9(A):<FP>-0.https://doi.org/10.3889/oamjms.2021.7806eISSN: 1857-9655Category: A-Basic SciencesSection: Nuclear Medicine

BACKGROUND: Nuclear cardiology uses to diagnose the cardiac disorders such as ischemic and inflammation disorders. In cardiac scintigraphy, unraveling closely adjacent tissues in the image are challenging issue. AIM: The aim of the study is to detect of cardiac tissues using K-means analysis methods in nuclear medicine images. This study also aimed to reduce the existence of fleck noise that disturbs the contrast and make its analysis more difficult. METHODS: Thus, digital image processing uses to increase the detection rate of myocardium easily using its color-based algorithms. In this study, color-based K-means was used. The scintographs were converted into color space presentation. Then, each pixel in the image was segmented using color analysis algorithms. RESULTS: The segmented scintograph was displayed in distinct fresh image. The proposed technique defines the myocardial tissues and borders precisely. Both exactness rate and recall reckoning were calculated. The results were 97.3 + 8.46 (p > 0.05). CONCLUSION: The proposed technique offered recognition of the heart tissue with high exactness amount. Edited by: Sinisa Stojanoski Citation: Abdallah Y. Detection of Cardiac Tissues using K-means Analysis Methods in Nuclear Medicine Images. Open-Access Maced J Med Sci. 2021 Nov 29; 9(A):1272-1276. https://doi.org/10.3889/oamjms.2021. 7806
Piezoelectric Thin Films for Sensors, Actuators, and Energy Harvesting

Piezoelectric microelectromechanical systems (MEMS) offer the opportunity for high-sensitivity sensors and large displacement, low-voltage actuators. In particular, recent advances in the deposition of perovskite thin films point to a generation of MEMS devices capable of large displacements at complementary metal oxide semiconductor-compatible voltage levels. Moreover, if the devices are mounted in mechanically noisy environments, they also can be used for energy harvesting. Key to all of these applications is the ability to obtain high piezoelectric coefficients and retain these coefficients throughout the microfabrication process. This article will review the impact of composition, orientation, and microstructure on the piezoelectric properties of perovskite thin films such as PbZr_1− x Ti_ x O_3 (PZT). Superior piezoelectric coefficients ( e _31, f of −18 C/m^2) are achieved in {001}-oriented PbZr_0. 52Ti_0. 48O_3 films with improved compositional homogeneity on Si substrates. The advent of such high piezoelectric responses in films opens up a wide variety of possible applications. A few examples of these, including low-voltage radio frequency MEMS switches and resonators, actuators for millimeter-scale robotics, droplet ejectors, energy scavengers for unattended sensors, and medical imaging transducers, will be discussed.
Convergence with International Financial Reporting Standard and Its Effect on Stock Return: Evidence from Malaysia*

Convergence is the process of gradual adoption of a certain accounting standard issued by different regulatory bodies. The aim is to achieve uniformity and standardization across borders to open opportunities for international investment and collaboration. The implementation of IFRS, in theory, encourages more transactions by presenting financial statements in a simple and understandable manner for all investors and other businesses interested in the company. Using event study methodology, this study investigates whether Malaysian companies’ adoption of IFRS is recognized by the investment community. A total of 89 public listed companies in Bursa Malaysia are involved in this study. The results show that about 62.8 percent of the companies that adopted IFRS-based financial statements experienced an increase in their average abnormal return after the announcement. However, the paired sample test results show that only 5.6 percent out of 89 companies studied experience a significant difference in abnormal return before and after the announcement. The inexistence of the average abnormal return difference between before and after the announcement may indicate that IFRS-based financial statements do not have any new market informational content. This study found little evidence to show that convergence with IFRS affects the company’s stock price in Malaysia.
A Laterally Driven Micromachined Resonant Pressure Sensor

** SUMMARY A new type of resonant pressure sensor is presented which employs a laterally driven resonant strain gauge. The resonant strain gauge is designed using simple linear elastic theory and the sensor fabricated by a combination of bulk and surface micromachining techniques. The strain gauge is driven electrostatically and the resultant vibration sensed capacitively. Its lateral mode of oscillation offers several advantages such as a low sensitivity of the Qfactor to cavity gases. The Q-factor has been estimated to be 50 000 in vacuum and preliminary measurements have shown a pressure sensitivity of 8.8 kHzBar with a Qfactor of about 200 in air.
Notes on the Gini Coefficient(s)*

where y1, . , yn are non-negative income levels in a population of size n, and μ > 0 is mean income in this population (Sen, 1973; Ray, 1998). This index has an appealing interpretation as the average absolute difference between all pairs of individuals, relative to the mean income in the population. But the pairs in this case include individuals paired with themselves, with the corresponding income differences being identically zero. The numerator is unaffected by their inclusion, but the denominator is inflated relative to the case when such pairs are excluded.
Loss of function mutations of BCOR in classical Hodgkin lymphoma

Abstract BCOR is a component of a variant Polycomb repressive complex 1 (PRC1.1). PRC1 and PRC2 complexes together constitute a major gene regulatory system critical for appropriate cellular differentiation. The gene is upregulated in germinal center (GC) B cells and mutated in a number of hematologic malignancies. We report BCOR inactivating alterations in 4/7 classic Hodgkin lymphoma (cHL) cell lines, subclonal somatic mutations in Hodgkin and Reed–Sternberg (HRS) cells of 4/10 cHL cases, and deletions in HRS cells of 7/17 primary cHL cases. In mice, conditional loss of Bcor driven by AID-Cre in GC B cells resulted in gene expression changes of 46 genes (>2-fold) including upregulated Lef1 that encodes a transcription factor responsible for establishing T-cell identity and Il9r (interleukin-9 receptor), an important member of the cytokine network in cHL. Our findings suggest a role for BCOR loss in cHL pathogenesis and GC-B cell homeostasis.
The confounder matrix: A tool to assess confounding bias in systematic reviews of observational studies of etiology

Systematic reviews and meta‐analyses are essential for drawing conclusions regarding etiologic associations between exposures or interventions and health outcomes. Observational studies comprise a substantive source of the evidence base. One major threat to their validity is residual confounding, which may occur when component studies adjust for different sets of confounders, fail to control for important confounders, or have classification errors resulting in only partial control of measured confounders. We present the confounder matrix—an approach for defining and summarizing adequate confounding control in systematic reviews of observational studies and incorporating this assessment into meta‐analyses. First, an expert group reaches consensus regarding the core confounders that should be controlled and the best available method for their measurement. Second, a matrix graphically depicts how each component study accounted for each confounder. Third, the assessment of control adequacy informs quantitative synthesis. We illustrate the approach with studies of the association between short interpregnancy intervals and preterm birth. Our findings suggest that uncontrolled confounding, notably by reproductive history and sociodemographics, resulted in exaggerated estimates. Moreover, no studies adequately controlled for all core confounders, so we suspect residual confounding is present, even among studies with better control. The confounder matrix serves as an extension of previously published methodological guidance for observational research synthesis, enabling transparent reporting of confounding control and directly informing meta‐analysis so that conclusions are drawn from the best available evidence. Widespread application could raise awareness about gaps across a body of work and allow for more valid inference with respect to confounder control.
An Inverse Eigenvalue Problem for Star Spring-Mass System

The mass-normalized stiffness matrix of the star spring-mass system is an arrowhead matrix. Given two eigenpairs of the arrowhead matrix. It is assumed that the total mass of a star spring-mass system is known. The problem of constructing the physical elements of the system from the known data is considered. The necessary and sufficient conditions for the construction of a physical realizable system with positive mass and spring stiffness are established. If these conditions are satisfied, the system may be constructed uniquely.
Evolving classification of rhabdomyosarcoma

Rhabdomyosarcomas comprise the single largest category of soft tissue sarcomas in children and adolescents in the United States, occurring in 4.5 million people aged below 20 years. Based on the clinicopathological features and genetic abnormalities identified, rhabdomyosarcomas are classified into embryonal, alveolar, spindle cell/sclerosing and pleomorphic subtypes. Each subtype shows distinctive morphology and has characteristic genetic abnormalities. This review discusses the evolution of the classification of rhabdomyosarcoma to the present day, together with a discussion of key histomorphological and genetic features of each subtype and the diagnostic approach to these tumours.
A novel radiation imaging sensor based on self-activated pixels

A new position sensitive detector for charged particles and X-rays is proposed based on pixels containing MOS transistors as preamplifiers. The output of the preamplifiers is shorted to strip buses to obtain two-dimensional information with readout requirements similar to a strip detector. The total pixel capacitance is low enough (20-40 fF) to allow a large potential increase at the pixel that collected the charge. The nonlinearity introduced by the large voltage rise effectively switches on the transistors of this pixel and leaves all the other pixels of the same line at a low transconductance state, resulting in an excellent noise performance. >
Quality/productivity practices and company performance in China

Examines the relationships between quality and productivity improvement approaches currently adopted by Chinese firms and the quality, operating, and financial performances of these firms. Three major hypotheses were formed, namely: a company’s quality performance is correlated to its quality and productivity improvement approaches; a company’s operation performance is correlated to its quality and productivity improvement approaches; and a company’s financial performance is correlated to its quality and productivity improvement approaches. The hypotheses were tested by using sample data collected from 373 companies in the People’s Republic of China. The first two hypotheses were confirmed, although the second was only weakly supported. The findings of this paper are to large extent consistent with those of previous studies.
Energy Conservation and CO2 Emission Mitigation in Thailand

This article aims to appraise the potential of energy conservation and CO2 emission reduction options in the transport, industrial and residential sectors. These options, including the energy efficiency improvement programs, are introduced in the residential and industrial sectors. Public transportation improvement and engine technology improvement are introduced in the transport sector. Future demand and environmental emissions are evaluated by using the Long-range Energy Alternative Planning (LEAP) model. The effects of policy options are analyzed using a scenario-based approach. The scenario analysis reveals that the improvement of public transportation can reduce future energy requirement and CO2 emissions in 2020 by 636 thousand ton of oil equivalent (toe) and 2,024 thousand ton of CO2 equivalent, respectively. If all options are simultaneously promoted, the energy saving potential and CO2 mitigation in 2020 are estimated to be 1,241 thousand toe and 3,623 thousand ton of CO2 equivalent, respectively.
Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction

Many works in natural language processing have shown connections between a person’s personal discourse and their personality, demo-graphics, and mental health states. However, many of the machine learning models that predict such human traits have yet to fully consider the role of pre-trained language models and contextual embeddings. Using a person’s degree of depression as a case study, we do an empirical analysis on which off-the-shelf language model, individual layers, and combinations of layers seem most promising when applied to human-level NLP tasks. Notably, despite the standard in past work of suggesting use of either the second-to-last or the last 4 layers, we ﬁnd layer 19 (sixth-to last) is the most ideal by itself, while when using multiple layers, distributing them across the second half(i.e. Layers 12+) of the 24 layers is best.
Fairness in Repetitive Scheduling

Recent research found that fairness plays a key role in customer satisfaction. Therefore, many manufacturing and services industries have become aware of the need to treat customers fairly. Still, there is a huge lack of models that enable industries to make operational decisions fairly, such as a fair scheduling of the customers' jobs. Our main aim in this research is to provide a unified framework to enable schedulers making fair decisions in repetitive scheduling environments. For doing so, we consider a set of repetitive scheduling problems involving a set of $n$ clients. In each out of $q$ consecutive operational periods (e.g. days), each one of the customers submits a job for processing by an operational system. The scheduler's aim is to provide a schedule for each of the $q$ periods such that the quality of service (QoS) received by each of the clients will meet a certain predefined threshold. The QoS of a client may take several different forms, e.g., the number of days that the customer receives its job later than a given due-date, the number of times the customer receive his preferred time slot for service, or the sum of waiting times for service. We analyze the single machine variant of the problem for several different definitions of QoS, and classify the complexity of the corresponding problems using the theories of classical and parameterized complexity. We also study the price of fairness, i.e., the loss in the system's efficiency that results from the need to provide fair solutions.