Miracle-dz/UniFAR-FTUs huggingface dataset:
Variance Decomposition of Macro Level Data with Application to Unemployment in Northeast India

Analysis based on aggregated data is referred to as ecological analysis and the discrepancy arising when the analysis based on area level gives conclusion very different from expected relationship at unit level is termed as ecological fallacy. It is for this reason that census data are under-utilized for the exploration of cause and effect relationship. The uses of aggregate data from the census are confined to projection,estimation of rates, trend analysis and compositional changes. The three sources of ecologic fallacy pertain to situations where there is some form of group effect. This includes situations where there is a failure to distinguish constructs at different levels (e.g., mean group X is assumed to measure the same thing and individual-level X), where something about the groups is associated with individual-level predictors of the outcomes (mean group X is associated with other individual-level factors related to Y), or where some social process results in the grouping of persons by the dependent variable. This paper describes statistical technique which can be adopted for macro level analysis by decomposing variance under multilevel regression model.
Bubble enhanced heat transfer from a vertical heated surface

A rising bubble in a liquid can greatly enhance heat transfer from heated surfaces by acting like a bluff body, displacing fluid as it moves and via the wake generated by the bubble, increasing the mixing of the liquid. The current research quantifies the effect a single free rising ellipsoidal air bubble has on heat transfer from a vertical heated block immersed in water. By measuring the time varying heat transfer and tracking the bubble dynamics, further understanding of the heat transfer mechanism is achieved. Both the plane in which the bubble oscillates and the proximity of the bubble path are shown to influence the surface heat transfer.
Teaching and Learning with Smartphone: Qualitative Explorative Study from Pakistan

This paper investigates the perceptions of teachers and students about using smartphone for teaching and learning practices in private sector universities of Islamabad through cross-sectional based qualitative explorative study. Focus group interviews were conducted from teachers and students through self-selection sampling technique. Current study is guided by Grounded Theory for which semi-structured questionnaire was adopted and modified. The results suggested two categories of teachers, Realistic and Idealistic. Realist teachers believe that they have to follow and act according to principles of reality that prevailes on ground. Idealist teachers believe that their job is to enlarge the intellectual capacity of students with focus on cognitive development rather vocational training. To sum up, integration of modern technologies like smartphone in higher education stimulates to adopt creative and innovative ways for teaching and learning practices because of its bilateral, media-rich and knowledge sharing nature thus necessary for gaining competitive advantage. Few restrictions were faced by researchers. The study is limited to city of Islamabad only. A practical implication of this study along with few recommendations for future research is also given. Keywords:Teaching; learning; smartphone; perceptions; private universities.
Screening the APC, MLH1, MSH2 and TP53 Mutations in Patients with Early Onset of Colorectal Cancer

Objective: A molecular-genetic study of early onset colorectal cancer (CRC) patients in Kazakhstan. Methods: The direct sequencing of crucial regions of key CRC genes (APC codons between nucleotides 967-1386 and 1286–1513; exons 8 and 16 of MLH1 and exon 7 of MSH2; exons 5-9 of TP53) was performed for early cancer-onset and suspected familial cases. Results: Blood was collected from 249 patients diagnosed with rectal or colon cancer. There were 32 patients with early onset CRC (28-50 yrs), including 10 patients with a family history of cancer. Two types of nucleotide replacements were detected in intron 4 (c.376-19C>T) and intron 9 (c.993+12T>C) of TP53, both in the heterozygous state. Another nucleotide substitution was present in 15 patients in intron 15 of MLH1 (c.1732-90C>A) while known coding polymorphisms were observed in exon 8 of MLH1 (rs1799977-A655G/Ile219Val), in exon 7 of MSH2 (rs5028341-C1168T/Leu390Phe), in exon 15 of APC (rs1801166-G3949C/p.Glu1317Gln and rs41115–4479G>A). The single deletion, c.3613delA (p.Ser1205fs), located in exon 15 of APC gene, was found in the heterozygous state in two patients with a family history of adenomatous polyposis. Conclusion: We suggest a possible role of MLH1 655A>G, MSH2 1168C>T, APC 4479G>A, and APC 3949G>C polymorphisms in the susceptibility to early onset of CRC. A single base pair deletion at codon 1205 (c.3613delA) of APC gene seems to be differentially associated with early-onset cases depending on having a family history of CRC.
Very Large Scale Optical Interconnect Systems For Different Types of Optical Interconnection Networks

The need for scalable systems in market demands in terms of lower computing costs and protection of customer investment in computing: scaling up the system to quickly meet business growth is obviously a better way of protecting investment: hardware, software, and human resources. A scalable system should be incrementally expanded, delivering linear incremental performance with a near linear cost increase, and with minimal system redesign (size scalability), additionally, it should be able to use successive, faster processors with minimal additional costs and redesign (generation scalability). On the architecture side, the key design element is the interconnection network. The interconnection network must be able to increase in size using few building blocks and with minimum redesign, deliver a bandwidth that grows linearly with the increase in system size, maintain a low or (constant) latency, incur linear cost increase, and readily support the use of new faster processors. The major problem is the ever-increasing speed of the processors themselves and the growing performance gap between processor technology and interconnect technology. Increased central processing unit (CPU) speeds and effectiveness of memory latency-tolerating techniques.
Invited Product Profile – GeneXpert Xpress System for Respiratory Testing

Abstract Viral and bacterial respiratory infections represent a significant source of morbidity and mortality in the United States. Lateral flow immunoassays, frequently used to detect influenza, respiratory syncytial virus (RSV), and streptococcus group A infections, yield lower sensitivity (50%–70%) than testing other methods and often require culture confirmation for patients who test negative. The Clinical Laboratory Improvement Amendments–waived GeneXpert Xpress platform offers point-of-care influenza, RSV, and streptococcus group A nucleic acid amplification testing in a variety of health care settings. The system requires minimal training, and the user interface provides straightforward step-by-step video instructions that illustrate each phase of the testing procedure. The universal cartridge design allows simple sample loading that minimizes hands-on time and risk of contamination as well as the need for additional staff training. Test results generated by the Xpress System have high sensitivity and specificity and are available in 18 to 30 minutes. Together these features make the GeneXpert Xpress an attractive option to provide simple, rapid, and effective point-of-care testing to identify influenza, RSV, and streptococcus group A infections to better inform patient management and treatment decisions.
Incentive System in Hungarian High Performance Sport

Abstract This study will attempt to describe the role of existing incentives which have a significant effect on Hungarian sport's performance. The aim of the paper is to understand why a large gap has emerged between successful elite sports and the popular but underperforming spectacular sport. According to the concept of dual competition, in addition to sport results, the analyzed fields also concern competition for resources, particularly for the attention of supporters and sponsors. The methodology of the analysis is fundamentally economic in nature; however, qualitative methods are also given emphasis, as the analyzed topic has specific characteristics. Based on new institutional economics, the study presumes that the behavior of organizations is determined by the decisions of bounded rational individuals, and highlights the significance of the created mechanisms and institutions.
Underwater pipeline inspection method for AUV based on laser line recognition: simulation results

The paper focuses on the scenario of automatic inspection of underwater pipelines with the help of AUV. The pipeline coordinates are determined by detecting the projection of the laser line. Such information is used to organize precise target-oriented AUV movement near the pipeline. Control algorithms were debugged using a high-performance computing cluster interfaced with a real AUV navigation and control system. Simulation experiment results for various pipeline locations on a bottom surface are discussed.
A CASE STUDY ON THE OUTSOURCING OF EDUCATIONAL ACTIVITIES IN HONG KONG : ISSUES AND CONSIDERATIONS

In Hong Kong, many school principals outsourced their extra-curricular activities to reduce the workload of teachers and provide more activity options for students. This study reports on a qualitative study aiming at examining the views of a group of sixteen teaching professionals from ten primary schools in Hong Kong on the effectiveness as well as the major concerns about outsourcing extra-curricular activities. Findings indicate that three themes emerged from the data regarding effectiveness of outsourcing extra-curricular activities to external organizations including (1) reducing teachers’ workload and cost saving; (2) enhancing the expertise of teachers; and (3) catering for the needs of both parents and students. On the contrary, the major concerns about outsourcing activities were (1) increasing administrative duties; (2) quality of the activities; (3) linking activities to school curricula; and (4) student discipline. It is recommended that school, government and parent representatives be involved in monitoring outsourcing activities.
On the Static Performance of Commercial GaN-on-Si Devices at Elevated Temperatures

This work provides an experimentally driven comparison between commercialized Gallium Nitride on Silicon (GaN-on-Si) and Silicon (Si) Super Junction (S-J) power devices at elevated temperatures. Elevated temperature experiments were performed to analyze the static performance of the Panasonic PGA26C09DV Enhancement (E-mode) p-GaN layer Gate Injected Transistor (GIT), the Transphorm TPH3206LD, TPH3206PD cascode GaN High Electron Mobility Transistors (HEMTs) and the Infineon SPA15N60C3 Silicon S-J. The Device Under Tests (DUTs) were characterized in a thermal chamber using the B1505A Power Device Analyzer. The elevated temperature measurements were taken; analyzed and compared. The performance of the GaN-on-Si indicated a strong robustness in thermally challenging environments and demonstrated superior performances at higher temperatures in comparison to traditional Si S-J technology.
DC-Link Capacitors RMS Current Reduction PWM Method Based High Frequency SiC Three-Phase Inverter

In this paper a novel pulse-width-modulation (PWM) method is proposed for Silicon Carbide (SiC) based on high frequency three-phase, two-level, voltage-source inverters (VSIs) aiming at reducing the RMS current flowing through DC-link capacitors. Mathematical analysis shows that this new strategy is particularly effective in terms of reducing DC-link capacitor rms current compared to normal PWM methods (SVPWM, DPWM1, and AZSPWM1), which decreases the size of the DC-link capacitor and further improves the power density of SiC VSIs. Simulation and experiment results are shown to verify the accuracy of the theoretical analysis.
Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series Prediction

News has been an important source for many financial time series predictions based on fundamental analysis. However, digesting a massive amount of news and data published on the Internet to predict a market can be burdensome. This paper introduces a topic model based on latent Dirichlet allocation (LDA) to discover features from a combination of text, especially news articles and financial time series, denoted as Financial LDA (FinLDA). The features from FinLDA are served as additional input features for any machine learning algorithm to improve the prediction of the financial time series. We provide posterior distributions used in Gibbs sampling for two variants of the FinLDA and propose a framework for applying the FinLDA in a text and data mining for financial time series prediction. The experimental results show that the features from the FinLDA empirically add value to the prediction and give better results than the comparative features including topic distributions from the common LDA.
Process Parameters Optimization in GFRP Drilling through Integration of Taguchi and Response Surface Methodology

The purpose of this paper is to study the effect of process parameters such as spindle speed and feed, drill diameter and point angle, and material thickness on thrust force and torque generated during drilling of Glass Fibre Reinforced Polymer (GFRP) composite material using solid carbide drill bit. Full factorial Design of Experiments (DOE) has been adopted and the results indicate that spindle speed is the main contributing parameter for the variation in the thrust force and drill diameter is the main contributing factor for variation in torque. The optimum combination of process parameter settings has been found out using the integration of Taguchi method and Response Surface Methodology.
Raparo: Resource-Level Angle-Based Parallel Routing for FPGAs

Routing is a time-consuming step in the FPGA compilation flow. The parallelization of routing has the potential to reduce the time but imposes the dependent problem as the inherent order of nets. In this paper, we present Raparo, a resource-level angle-based parallel router. Raparo exploits angle-based region partitioning to drive the assignment of the nets for efficient parallel routing on the multi-core processor systems. Raparo parallelizes the routing at resource level rather than region level for the similar convergence as the serial router. Results show that Raparo can scale to 32 processor cores to provide about 16x speedup on average with acceptable impacts on the quality of results, comparing to the serial router.
Inspection of Error Performance and Interference Avoidance Technique for Cooperative Relay in Underlay D2D Networks

5G wireless standard has significant participation for Device to Device (D2D) communication system, channel state estimation and cooperative relay techniques. This paper investigates the great role of the cohabitation of these technologies by proposing the electronic relay. This relay is a collection of collaborative techniques. The selection between them is accomplished automatically after inspecting the channel state information (CSI). In addition, interference avoidance techniques with the electronic relay are proposed to reduce the interference. A deeper construe of these techniques is illustrated. Also, the term of outage probability of both communication links is demonstrated. MATLAB simulator is used. The outage performance of proposed techniques is compared with the corresponding previous techniques. As illustrated in the simulation results. The SNR gain increases by 2.9 dB due to utilizing the interference avoidance. Moreover, the effect of increasing the D2D numbers on the system outage probability is introduced
Analysis of Frequency Control of Islanding Microgrid including SFCL and SMES

In this paper, Frequency Control of Islanding Microgrid comprising Superconducting Fault Current Limiter (SFCL) and Superconducting Management System (SMES) is analyzed. In order to prevent the system to encounter blackout, frequency control should be considered an important issue. Providing a balance between generation and consummation power which is the real meaning of control of frequency is the biggest consequence of fluctuation in the microgrid. One of these fluctuations could be the result of a fault. It is obvious that applying SFCL could change the equivalent circuit of the power system and affect the frequency control. On the other hand, all inherent characteristics of SMES could be a big assistance to improve frequency control. The performance of usage of SFCL and SMES on frequency control is assessed through a number of scenarios. Simulation results show the influence of these components, greatly.
Failure Models and Comparison on Short-circuit Performances for SiC JFET and SiC MOSFET

Based on the traditional circuit models of SiC JFET and SiC MOSFET, failure models in short-circuit case for the two SiC devices have been presented. The failure models have considered the leakage currents inside the devices when the short-circuit occurs. For both of SiC JFET and SiC MOSFET, the leakage current between the drain and the source has been introduced. In addition, for SiC MOSFET, the gate leakage current has been included. Furthermore, the mobility dependent on the temperature and the electric-field strength is used to accurately describe the carrier behaviour in the channel of the two SiC transistors. The failure models of the two SiC transistors had been verified by the results from TCAD simulations and other’s experimental results. With our failure models, the comparison of short-circuit performances between SiC JFET and SiC MOSFET have been conducted.
Effect of Different Levels of Nanoparticles Chromium Picolinate Supplementation on Performance, Egg Quality, Mineral Retention, and Tissues Minerals Accumulation in Layer Chickens

This study was conducted to investigate the effects of various levels of nanoparticles chromium picolinate on performance, egg quality, minerals retention, and tissues accumulation of layer chickens. This study used 54 seventy-week old post-molt laying hens randomly allocated into 0 (control), 500 ppb (µg kg -1 ) Cr and 3000 ppb Cr groups for a 60-day experiment. The chromium was nanosize (80.8 ± 2.7 nm) chromium picolinate (NanoCrPic) and each treatment was undertaken with six replicates. In the meantime, a total of 18 birds (1 bird/replicate) were used for metabolic experimentation. The results of the experiment indicated that there were no significant effects on body weight, feed intake, feed efficiency, and egg production of layers. Supplemental NanoCrPic could significantly (p < 0.05) improve egg quality, or retention of chromium and zinc, but decrease shell ratio in the 60 th day eggs. The addition of NanoCrPic resulted in increased minerals accumulation in tissues such as Cr, Ca, and P concentration in the liver, Cr concentration in the yolk and Ca concentration in the eggshell. In conclusion, supplemental NanoCrPic improved Cr and Ca accumulation in the liver and egg, improved Zn and Mn retention in layer chickens.
A Graph-based Admission Policy for SSD Caching

SSD has been widely used in the cache layer of cloud storage systems to speed up data access. However, existing cache algorithms focus exclusively on performance improvements and ignore the write endurance of SSD, which brings a great challenge to SSD’s lifetime. To address this challenge, we analyze some actual workloads and find that most of SSD write operations are unnecessary, such as the data of periodic backup operations. To avoid these unnecessary write operations, we propose a graph-based admission policy for SSD cache, and design analysis engine to facilitate the policy. In the analysis engine, we quantify the correlation strength between blocks, and further propose the Block Rank algorithm for block importance analysis. We measure the activity of the block by introducing the block importance analysis. Experimental results show that the graph-based cache admission policy greatly reduces SSD write traffic. Taking LRU for instance, although hit rate reduces by 1%~2%, SSD write traffic is decreased by 14%~32% in return.
A Multilevel Inverter with High Efficiency, High Stability, and Low Cost

A low cost, high efficiency, and high stability inverter is proposed. Taking low cost into account, the suggested inverter has lower implementation cost than the similar structure because this inverter uses a fewer number of switches. Also, to decrease the Total Harmonics Distortion (THD) Value, a passive filter is considered in the model. Apart from that, switching frequency is increased in the model, and this is a good feature as compared to the published papers, and furthermore the results of thermal investigation show that although frequency is increased, the junction temperature is still in a safe region to make sure about the temperature. Also, when switching method is applied to the switches, efficiency of the proposed model is calculated and compared with the applicable, previous models, and results show that the efficiency of the model proposed in this paper is higher than the others. To prove this, a simulation is done in PLECS and PSPICE software, and all what mentioned in this paper as the achievements are investigated and confirmed.
Vertex cover preprocessing for influence maximization algorithms

The Influence maximization problem is a fundamental problem in social networks analysis which aims to select a small set of nodes, as a seed set, and maximizes influence spread through the seed set under a specific propagation model. In this paper, the effect of performing vertex cover, as a preprocess, has been investigated on the influence maximization algorithms under the independent cascade model. Proposed method eliminates ineffective nodes from the main calculation process to find the most influential nodes. Based on the results, combining the proposed algorithm with several methods on real-world datasets confirms the efficiency of the method.
Compact Dual-Polarized Antenna for Dual-Band Full-Duplex Base Station Applications

A compact single-radiator microstrip patch antenna with highly integrated duplexing and filtering functions is proposed for dual-band dual-polarized (DBDP) base-station applications, and the center frequency ratio of the upper and the lower operation band is just 1.14. The single radiation patch with four high isolation channels is oriented along the 45° diagonal of the ground plane to achieve the ±45° dual linearly polarizations (LP) at each of the two operation bands. For each polarization, the dual-band full-duplex characteristic is obtained by conceiving the strong mutual coupling between the combined resonator and the radiation path, and the mutual coupling then couples to two groups of resonator-based channels with different working frequencies. Therefore, high channel isolation is achieved, without resorting extra decoupling structures. Moreover, the mutual coupling of each resonator-based channel can help to improve its corresponding operation band and produce the third-order filtering feature, leading to enhancement of the full-duplex characteristic for the proposed antenna. Such a single-patch four-port DBDP antenna could significantly reduce the complexity and volume of the RF frontend of the base station. The removal of the bandpass filters and duplexers in the design could also reduce the potential cost of the RF frontend. The measured results agree well with the simulations, showing an excellent performance in terms of bandwidths, channel isolations, polarization isolations, radiation patterns, and gains.