Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Evaluation of Closed-Loop Spatial Multiplexing Codebook Based on Indoor MIMO Channel Measurement

Closed-loop MIMO technique standardized in LTE can support different layer transmissions through precoding operation to match the channel multiplexing capability. However, the performance of the limited size codebook still needs to be evaluated in real channel environment for further insights. Based on the wideband MIMO channel measurement in a typical indoor scenario, capacity loss (CL) of the limited size codebook relative to perfect precoding is studied first in two extreme channel conditions. The results show that current codebook design for single layer transmission is nearly capacity lossless, and the CL will increase with the number of transmitted layers. Furthermore, the capacity improvement of better codebook selection criterions is very limited compared to CL. Then we define the maximum capacity boost achieved by frequency domain layer adaption (FDLA) and investigate its sensitivity to SNR and channel condition. To survey the effect of frequency domain channel variation on MIMO-OFDM system, we define a function to measure the fluctuation levels of the key channel metrics within a subband and reveal the inherent relationship between them. Finally, a capacity floor resulted as the feedback interval increases in frequency domain.
A case study of total productive maintenance implementation at precision tube mills

Purpose – The purpose of this paper is to investigate the contributions of successful total productive maintenance (TPM) initiatives to competitive manufacturing. It also seeks to critically examine the implications of strategic TPM implementation initiatives in an Indian manufacturing organisation.Design/methodology/approach – The study is carried out at a precision tube mill that has successfully implemented TPM and has reaped significant benefits as a result of TPM implementation, to study the TPM implementation issues and achievements realised as a result of strategic TPM implementation. The approach is directed towards the justification of TPM implementation for its support to competitive manufacturing in Indian industries.Findings – The study reveals the exploits of Indian entrepreneurs with TPM practices and highlights the contributions of TPM in realising the overall organisational goals and objectives. The study reveals that strategic TPM initiatives can significantly contribute towards the impro.
The Real-life-based School Dictionary for Turkish

This report aims to describe the development of a new, original, and monolingual dictionary as an educational resource named the Real-life-based School Dictionary (RLBSD). There is a general lack of corpus-based school dictionaries in the Turkish context. The existing dictionaries are based on native speaker intuitions and are far from being empirical, indicating the need for the development of a corpus-based dictionary. In this respect, the RLBSD meets this critical need. A specialized corpus consisting of texts from a range of natural language environments such as coursebooks (from primary to high school) approved by the Ministry of Education (MoNE), children's literature books, and periodicals was compiled and forms the basis of the RLBSD. The dictionary has been designed with the use of information technologies and corpus linguistics methods and is accessible to users on all digital platforms (the Internet, smart board, tablet, smartphone) as an instructional tool. It is believed that the current study may serve as an exemplary work with its methods and outputs for Turkish lexicography studies.
Localising the Global

The received view of China and much of Southeast Asia is that it is uncritically importing Western architecture and urban design. In reality, though, urbanisation is far more complex than this. Is there more to an English-style town in China or a Chinatown district in a US city than straight pastiche? Kyong Park looks at the level of local translation involved with appropriation in a Chinese and South Korean context.
TECHNOLOGICAL APPROACHES IN CERAMIC TRADITION AND PRIVILEGE OF TURKISH TILE ART

In the last 2 decades technology has created great developments in both industry and art. Various technological innovations have emerged as a result of numerous researches related primarily to advanced materials. While impressive changes were seen in industrial fields, art has also been influenced by technology. Ceramics, known as the oldest plastic art, has always been affected by both social and industrial changes, because it is both an art and also a science. Ceramics has a wide range of uses in science which are directly related to its applications in industry such as paint, textiles, automotive products, and construction. As an art, ceramics has a very different application including cultural approaches. Art tiles are one of the most outstanding examples of ceramics art. Consisting of specific figures, motifs, and colors, art tiles have a significant place in both Turkish and Islamic art. Technology has never been able to find a way to change the cultural mentality, so this art has protected its privilege for centuries. This study discusses the effects of technology on ceramic art and evaluates the current status of Turkish art tiles.
Nonlinear circuit analysis of harmonic and intermodulation distortions in laser diodes under microwave direct modulation

A microwave nonlinear circuit analysis technique which can account for all known steady-state responses has been developed and applied to the large-signal characterization of directly modulation laser diodes. An equivalent circuit derived from the rate equations is used to model the laser diode. The proposed technique is based on a harmonic balance algorithm which represents two-tone inputs by describing frequencies. Second-harmonic and third-order intermodulation distortion results for a single-mode GaAlAs diode have been compared with corresponding measured data to validate the method. Aperiodic responses are detected by means of bifurcation theory prior to the harmonic balance analysis and are simulated in the time domain. Simulated results are shown to agree well with published measurements, and indicate the capability of using this approach for the computer-aided design of microwave fiber-optic transmitters. >
Die elektrische Kardioversion – Schritt für Schritt

Die elektrische Kardioversion ist eine sehr effektive und schnelle Behandlungsmöglichkeit bei Vorhofflimmern, Vorhofflattern oder tachykarden ventrikulären Rhythmusstörungen, insbesondere wenn diese lebensbedrohlich sind oder die Lebensqualität vermindern. Ihr Vorteil ist die zügige Anwendbarkeit unter Berücksichtigung weniger Kontraindikationen. Entscheidend ist die richtige Durchführung, die nachfolgend detailliert dargelegt wird.
Reduced-complexity interpolating control with periodic invariant sets

A low-complexity interpolating control scheme based on the concept of periodic invariance is proposed. Periodic invariance allows the state trajectory to leave the controllable invariant set temporarily but return into the set in a finite number of steps. A periodic set with easy representation is considered to reduce the expensive computation of the controllable invariant set. Since this set is not a traditional invariant set, a vertex reachability problem of target sets is solved off-line for each vertex of the set and provides a contractive control sequence that steers the system state back into the original set. Online, the periodic interpolating control (pIC) scheme allows to transition between such periodic invariant sets and an inner set endorsed with positive invariance properties. Proofs of recursive feasibility and asymptotic stability of the pIC are given. A numerical example demonstrates that pIC provides similar performance compared to more expensive optimisation-based schemes.
Morality, Emotions, and the Ideal Environmentalist: Toward A Conceptual Framework for Understanding Political Polarization

Americans are politically polarized in their views on environmental protection, and scholars have identified structural and cultural drivers of this polarity. Missing from these theories is a consideration of the emotional dynamics at play in environmentally relevant interactions between liberals and conservatives. Based on analyses of in-depth interviews conducted with 63 politically and socioeconomically diverse residents of four communities in Washington State, we find evidence of important common ground across the political spectrum. Our participants voice support and respect for environmental protection and convey a shared image of an ideal environmentalist: a conscious, caring, and committed individual who seeks to reduce their personal environmental impact. We see political differences arise when our participants evaluate their own relationship with the environment against this ideal environmentalist. Liberals are more likely to align with or admire the ideal environmentalist and conservatives are more likely to challenge or denigrate the ideal. Emotions and competing claims for moral worth, we suggest, play a role in making these political differences polarizing.
Design methodology of analytical games for knowledge acquisition

Analytical games explore a problem or a domain with a research purpose. Considerable research is ongoing to investigate improvements to analytical game design, execution and exploitation. Moreover, the fast-paced technological developments in many fields, such as artificial intelligence and virtual reality, make it even more compellingto account for the advantages and limitations of these new capabilities. In game design, the use of digital means is often regarded as a mere technical factor that relates to the platform selection, facilitator support and data recording processes. In this work a shift in perspective is proposed, to move from technology-oriented design selection criteria towards a broader assessment of the design choices. In fact, the introductionof technology (i.e., automation and autonomy) will not lead to a substitution of tasks, but will intrinsically change the game environment. This work introduces a framework to provide a structured guidance on the aspects to be factored in the different design phases of an analytical game, including the potential impact of the adoption of automation and autonomy. The proposed approach is based on previous research in the fieldof simulation-based serious gaming, model-driven engineering and human factors engineering. The framework is applied to Knowledge Acquisition Analytical Games as a case study.
BER performance of anti-multipath modulation PSK-VP and its optimum phase-waveform

A novel antimultipath modulation method, called PSK-VP (phase shift keying with varied phase), in which a varied phase-waveform is redundantly imposed on the DPSK timeslot is proposed. The optimum phase-waveform is discussed by using an approximate analysis based on a special diversity with a continuous branch. A formula-type bit error rate (BER) expression is obtained by the analysis and shows the optimum phase-waveform condition. A convex phase-waveform asymptotically satisfies the optimum condition as its phase shift peak is increased. PSK-VP with a convex phase-waveform extends the delay difference upper limit to almost one symbol and shows an excellent BER for multipath fading with delay differences less than the upper limit. A strict numerical calculation also confirms the results and shows that 4-ary PSK-VP can nearly double the upper limit as measured in bits, which is about 1.7 bits for the convex phase-waveform. <<ETX>>
Stroke: A retrospective review of the incidence and epidemiology in a South African academic hospital emergency department.

BACKGROUND Stroke is a leading cause of morbidity and mortality. Most deaths occur in low- and middle-income countries, with the incidence predicted to increase as populations undergo socioeconomic and epidemiological changes. Knowledge of contributing factors in a South African (SA) population can be used to drive healthcare initiatives to modify this burden of disease. OBJECTIVES To analyse epidemiological data on patients with stroke presenting to an emergency department in Johannesburg, SA. METHODS The study was a 12-month descriptive, retrospective review of medical records, undertaken at a tertiary-level hospital. Patients' records were selected based on the presumptive diagnosis of stroke. Data collected included ethnicity, age, gender, risk factors, signs and symptoms at presentation, and computed tomography (CT) brain scan findings. RESULTS Of 312 records reviewed, 160 were eligible for inclusion. The mean age of the patients included was 57.7 years, and 64 patients (40%) had CT-confirmed haemorrhagic strokes. Hypertension was the most common comorbidity/risk factor identified, in the sample as a whole (n=93; 58%) and in both patients with haemorrhagic (n=33; 52%) and ischaemic strokes (n=56; 61%). Diabetes was the second most common comorbidity/risk factor (n=23; 14%), and was three times more likely in patients with ischaemic strokes (n=19; 20%) compared with haemorrhagic strokes (n=4; 6%). CONCLUSIONS Stroke is an important healthcare concern for SA. Our study demonstrated a lower mean age of patients presenting with stroke compared with high- and upper middle-income countries, and a higher proportion of haemorrhagic strokes. Several modifiable risk factors such as hypertension and diabetes were identified. Data collection on a regional and national level is important to drive targeted healthcare initiatives.
Entrepreneurial Orientation Components and Sales Volume of Selected Quoted Consumer Goods Manufacturing Companies in Nigeria

Organisational performance is of high importance and occupies a central position among other goals and remains a compensation for sustainable and competitive sales volume. Consumer goods manufacturing industry in Nigeria are experiencing decline in sales volume due to poor entrepreneurial orientation. This study examined the interaction between entrepreneurial orientation components and sales volume of selected quoted consumer goods manufacturing companies in Nigeria. The study adopted cross sectional survey design. The population of the study was 1,551. Total enumeration was used to sample the entire population. A structured questionnaire was used for data collection. The Cronbach’s alpha ranges between 0.721 and 0.892. The response rate was 90.5%. Data were analysed using descriptive and inferential statistics. Findings revealed that innovativeness (β = 0.334, t = 4.970, p = 0.000), competitive aggressiveness (β = 0.221, t = 3.715, p = 0.000) and risk taking (β = 0.136, t = 2.044, p = 0.042) have positive and significant effects on sales volume of the selected quoted consumer goods companies in Nigeria. However, proactiveness (β = 0.129, t = 1.733, p = 0.000) and planning flexibility (β = 0.075, t = 1.378, p = 0.169) have a positive but insignificant effect on sales volume of selected quoted consumer goods companies in Nigeria. The study concluded that entrepreneurial orientation (innovativeness, competitive aggressiveness, proactiveness, risk-taking and planning flexibility) had significant effect on sales volume of selected quoted consumer goods companies in Nigeria and recommended that managers should be more aggressive in exploiting opportunities to increase sales volume.
Generating good design from bad design: dynamical network approach

This paper discusses a dynamical network for mapping of interciass members without performing a learning process. This allows a member of class A to be mapped to a member of class B. Given sample members of each class a backpropagation network is trained to form the corresponding class boundaries. Upon completion of the training process the weights obtained are used in a recurrent network which performs the interclass member mapping without any further training. This mapping is achieved as the recurrent network evolves In time. The Initial state of the network is mapped to its equilibrium state. The interclass member mapping network (IMMN) has many applications in selfcorrecting systems. In this paper the IMMN is developed to represent two classes namely class B (for instance a class for representing members with desirable and correct features) and class A (members with incorrect features). An example is given in which two categories are used namely poorly and well-designed manufacturing parts. Given a poorly-designed part the network wifi suggest corrections resulting in a well-designed part. This example has nonlinear decision regions and shows the generalization capability of the network.
Building Electricity Load Forecasting via Stacking Ensemble Learning Method with Moving Horizon Optimization

The short-term forecasting of building electricity demand is certain to play a vital role in the future power grid. Given the deployment of intermittent renewable energy sources and the ever increasing consumption of electricity, the generation of accurate demand-side electricity forecasts will be valuable to both grid operators and building energy management systems. The literature is rich with forecasting models for individual buildings. However, an ongoing challenge is the development of a broadly applicable method for electricity forecasting across geographic locations, seasons, and use-types. This paper addresses the need for a generalizable approach to electricity demand forecasting through the formulation of a stacking ensemble learning method. Rather than using a single model to predict electricity demand, our method uses a weighted linear combination of forecasts from multiple sub-models. By learning the model weights in real-time using electricity demand data streams and a moving horizon training technique, the method is more robust than a single model approach. By applying our method to electricity demand data sets for 8 different buildings, we show that this data-driven approach is capable of producing accurate multivariate forecasts for building level applications.
Pursuit‐Escape Particle Swarm Optimization

This paper presents a new Particle Swarm Optimization (PSO) with pursuit and escape behavior. This method takes a cue from the behaviors of schools of sardines and pods of killer whales. When the sardines are attacked by the killer whales, they would behave unusually, that is, the sardines would escape from the killer whales, and on another front, the killer whales would pursue the sardines. By this method, particles are divided into two categories called the pursuit‐particles and the escape‐particles, having interactions with each other. They play the key roles of intensification and diversification, respectively. This allows the particles to avoid local optimal solutions and find a global optimal one, and also achieve an appropriate balance between diversification (global search) and intensification (local search) during the search. Then, the proposed method is validated through numerical simulations using several functions which are well‐known as the optimization benchmark problems by comparing them to powerful methods such as SAPPO, LDIWM, and CFM. Copyright © 2007 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Actionness-Guided Transformer for Anchor-Free Temporal Action Localization

Temporal action localization, detecting actions in untrimmed videos, is widely studied by anchor-based approaches that first generate excessive action proposals, i.e., temporal windows, then evaluate and classify these proposals. To reduce the number of action proposals, recent studies use an anchor-free approach that leverages each time point rather than a temporal window to represent an action instance. However, this point representation, usually modeled by temporal convolutions, may have the fixed and limited receptive field to detect an entire action. So we propose an Actionness-guided Transformer (Ag-Trans) model to learn representations for each point proposal. Ag-Trans first predicts the actionness, i.e., time sequences of the action starting, continuing, and ending phases, then the corresponding action phase can be embedded to model the point representation. Experimental results show that the Ag-Trans model outperforms the CNN-based model under the same experiment settings, especially for long-duration actions.
Three-dimensional very thin stacked packaging technology for SiP

In order to achieve the greater compactness, lightness, high- and multi-functionality required of mobile equipment and other electronic devices, we have developed 3D packaging technology which enables free stacking, at the package level, of ultra-thin CSP (which contain 2 or 1 LSI chip(s)). By stacking at the package level, there are no yield problems, and it is easy to perform independent electrical testing, so it is possible to achieve multi-level stacking while freely combining different kinds of LSI chips like memory or ASIC. By making chips and resin molding thinner, lowering wire loops and optimizing the package structure, we achieved higher package density: a single unit (2 chips) package height of 0.55 mmMax. , 2 layers (4 chips) with a unit package height of 1.0 mmMax. , and 3 layers (6 chips) with a unit package height of 1.5 mmMax. This technology makes it possible to offer ultra-compact systems-in-package (logic + memory) and high-capacity composite memories.
VN-Sim: A Way to Keep Core Concepts in a Crowded Computing Curriculum

Contemporary computer science curricula must accommodate a broad array of developments important to the field. Tough choices have to be made between introducing newer topics and retaining fundamentals that ground the discipline as a whole. All too frequently, understanding of low level coding and its relation to basic hardware is sacrificed to make room for newer material. VN-Sim, a von Neumann machine simulator, provides a mechanism for streamlined coverage of low level coding and hardware topics.
Two-dimensional numerical simulation of Schottky barrier MOSFET with channel length to 10 nm

We present simulation results of a silicon-based metal-oxide-semiconductor field-effect transistor (MOSFET), which has a structure similar to that of a conventional MOSFET, but the source and drain regions are now entirely replaced by metals. By using abrupt metal/silicon Schottky junctions, short-channel effects are avoided. Based on a few commonly used physical assumptions, we have calculated the transistor characteristics, and we find that this new three-terminal transistor can offer gain and impedance isolation, desirable for logic circuit applications.
Automatiserad konstruktion av analoga förstärkare

The last few decades the development in the field of electronics has been huge. The components performance gets better at the same time as the manufacturing cost decreases. Many of the design moments that have to be done, are done automatically today, but it can get better. Especially for analog circuit design.At Electronic System in Linkopings universitet, research is in progress to develop a tool that can design analog circuits in reasonable time. It means that it has to size the components (transistors, resistances, capacitances etc), so that the circuit can fulfill the performance requirements. An optimization method in conjunction with derived equations for the circuit performance is used to solve this task. The tool is created to design e.g. analog amplifiers. The goal is to decrease the design time and at the same time achieve better circuit performance.This tool has been tested on three different circuits, a power-amplifier, a Nested Miller Compensated amplifier with an active feedback (Active Nested Miller Compensation) and a Nested Miller Compensated amplifier without an active feedback (Nested Miller Compensation). In this report the results from the designing tests are presented.