Miracle-dz/UniFAR-FTUs huggingface dataset:
Value of Glypican-3 as a Diagnostic and Prognostic Biomarker for Hepatocellular Carcinoma before and after Treatment. A Prospective Study

Hepatocellular carcinoma is a highly prevalent tumor globally and the world's second leading cause of cancer-related deaths. Glypican-3, a heparan sulfate proteoglycan expressed on the surface of HCC cells, has emerged as a new molecule with a strong link to occurrence and progression of HCC. This study was done to determine the role of Glypican-3 in diagnosis of HCC and its prognostic value following different treatment modalities. The study included thirty patients with liver cirrhosis and HCC on top, and thirty patients with liver cirrhosis without HCC, standard laboratory investigations, abdominal ultrasound and triphasic computed tomography were done for all patients. serum Alpha fetoprotein and Glypican-3 were measured in all patients before and one month after different treatment modalities Glypican-3 was significantly higher in HCC group (2.28 ± 0.97) in comparison to cirrhosis group (0.56 ± 0.31) with P-value 0.000. Glypican-3 level was higher in larger sized lesions with p value 0.023, one month after treatment with different modalities, Glypican-3 declined significantly (from 2.28 ± 0.97 to 1.44 ± 0.93) with p value 0.000. At a Cut-off point of > 1.1 ng/ml Glypican-3 has 93.3% sensitivity, 96.67% specificity, 96.6% PPV and 93.5% NPV for detection of HCC. Glypican-3 can be a valuable diagnostic marker for HCC diagnosis and prognosis after various treatment modalities. And may be complementary to Alpha fetoprotein increasing overall sensitivity of HCC detection.
Digital Holographic Display (3)

This paper is to describe a color digital holographic projector and this system is comprised of RGB lasers, 3 units of Digital Micro-Mirror Device (DMD) and high speed rotating diffuser. In this research, we focused on colorings Digital holograms and synchronized RGB digital holograms versus rotated diffuser. To achieve this phenomenon, three of the holograms optical path need to be aligned to pass through a same beam splitter and eventually combined as one colored holograms output While, this colored hologram will be reconstructed on volumetric screen (rotated diffuser) at the floating manner in free space. To obtain these result 3 key factors is investigated: 1. To configured 1 master and 2 slaves digital micro mirror illumination time 2. To reconstructed holograms orientation angle diffuser versus rotating speed. 3. To synchronize rotating diffuser speed versus DMD frame-rate Last but not least, the team built a prototype Color Digital Holography Display but more developments are required to follow up such as, enhance system's reliability, robustness, compactness and 3D realistic images floating in the free air space.
Research on the Simulation of Random Road Excitation in Time-Domain

With the development of national economy and the increasing demand for the road transportation, the vehicles are widely used. The dynamic loads imposed by moving vehicles have variations due to the surface roughness and the larger dynamic loads can affect the pavement performance and life. In order to improve the accuracy of the reconstruction of the road roughness, the time series model—AR model was established based on the given standard pavement roughness PSD which can provide the theory conditions of vibration control and the interaction between vehicles and road.
Broadband indoor wireless communications in the (20-60)GHz band: Signal strength considerations

Future wireless communication systems designed for indoor environments are expected to handle integrated voice, data, and video services. The use of millimeter waves in the 20GHz to 60GHz band for future indoor wireless communications appears to be a favorable choice as it provides sufficient bandwidth to support broadband services, current sparse usage, small RF device dimensions and favorable regulatory environment. This work is aimed to provide insight into the capabilities and limitations of the (20-60)GHz band in supporting future indoor wireless communications requirements from a signal strength perspective. This study is based on the currently available information about the (20-60)GHz band, such as: the attenuation rate of different building materials, the distance attenuation factors, the ambient noise, and the power requirements. The results were obtained through the simulation of indoor environments with propagation parameters typical of the MM-wave propagation.
Modeling of Temperature in Orthopaedic Drilling Using Fuzzy Logic

Bone drilling is a common procedure to produce hole for screw insertion to fixate the fracture devices and implants during orthopaedic surgery. A major problem which is encountered during such a procedure is the increase in temperature of the bone due to the plastic deformation of chips and the friction between the bone and drill. This increase in temperature can result in thermal osteonecrosis which may delay healing or reduce the stability and strength of the fixation. In the present work, prediction of temperature in drilling of polymethylmethacrylate (PMMA) (as a substitute for bone) is carried out using fuzzy logic. The effectiveness of the fuzzy model is compared with the experimental results. Good agreement is observed between the predictive model values and experimental values which indicates that that the developed model can be effectively used to determine the temperature in the bone drilling.
Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

The seismic bearing capacity of a shallow strip footing above a void displays a complex dependence on several characteristics, linked to geometric problems and to the soil properties. Hence, setting analytical models to estimate such bearing capacity is extremely challenging. In this work, machine learning (ML) techniques have been employed to predict the seismic bearing capacity of a shallow strip footing located over a single unsupported rectangular void in heterogeneous soil. A dataset consisting of 38,000 finite element limit analysis simulations has been created, and the mean value between the upper and lower bounds of the bearing capacity has been computed at the varying undrained shear strength and internal friction angle of the soil, horizontal earthquake accelerations, and position, shape, and size of the void. Three machine learning techniques have been adopted to learn the link between the aforementioned parameters and the bearing capacity: multilayer perceptron neural networks; a group method of data handling; and a combined adaptive-network-based fuzzy inference system and particle swarm optimization. The performances of these ML techniques have been compared with each other, in terms of the following statistical performance indices: coefficient of determination (); root mean square error (); mean absolute percentage error; scatter index; and standard bias. Results have shown that all the ML techniques perform well, though the multilayer perceptron has a slightly superior accuracy featuring noteworthy results (0.9955 and 0.0158).
The Effect of Social Media Marketing on Sales Growth of Small and Medium Enterprises in the Fashion Industry in Nairobi County, Kenya

Small and medium enterprises in the various sectors of the Kenyan economy have been adopting social media marketing to steer their marketing objectives. The fashion enterprises have not been left behind in adopting and engaging their customers through the social media marketing channels. The traditional channels of marketing that include television, radio and billboard marketing are perceived to be more expensive compared to social media marketing channels, and thus has led to more enterprises switching to social media marketing. However, the local enterprises in the fashion industry still face stiff competition from cheap imported second-hand fashion products from other countries. The local fashion designers also face stiff competition from well-established global fashion brands that have penetrated the Kenyan market. High cost of capital and limited access to financing has also been a major challenge for the fashion enterprises and has led to many of them lacking sufficient resources to implement their marketing objectives. Furthermore, the fashion industry is very dynamic and there exists the challenge posed by the ever-changing consumer preferences in relation to the fashion trends. Lack of market readiness has led to poor performance of the fashion enterprises. The study sought to establish the effect of social media marketing on sales growth of small and medium enterprises in the fashion industry in Nairobi County. The study was anchored on two theories that include Technology Acceptance Model and Social Network Theory that related to the variables under study. The research used descriptive cross-sectional design with the target population comprising of the 210 fashion SMEs in Nairobi County dealing in fashion accessories, bodywear and footwear. The study used a census technique, where all the 210 listed fashion enterprises were studied. Primary data was collected through structured questionnaires. Data analysis was done using the Statistical Package for Social Science Software (S.P.S.S) version 25. Regression analysis was performed to test the hypotheses of the study. The study established that Social media marketing had a positive significant effect on sales growth of small and medium enterprises in the fashion industry in Nairobi County. The study recommends that the fashion enterprises adopt effective social media marketing tools to steer their marketing campaigns and improve sales performance. Furthermore, the marketing strategies adopted should be optimized and enhanced to improve customer service and customer interaction with the fashion enterprises. Through social media adoption, the enterprises ought to share relevant and up-to-date content on their social media platforms to target their customers so as to accrue its benefits that include low costs of adoption and improved interaction between the customers and the fashion enterprises.
Analysis and design of post-wall waveguides for application in SIW

The post-wall waveguide (PWWG) is a microwave transmission line that combines integrability with printed circuit board technology with relatively low loss at millimeter-wave frequencies. The side walls of a PWWG do not consist of flat surfaces, as in a rectangular waveguide, but of a set of cylindrical posts. To characterize PWWGs electromagnetically we present a model based on a 2D formulation of Maxwell’s equations. A modal expansion of the fields around the cylindrical posts in the PWWG results in a matrix equation from which the scattered field induced by an excitation field can be determined. Using Lorentz’s reciprocity theorem, we derive integral equations that relate the electromagnetic fields to surface currents. The propagation constant can be determined by considering an infinitely-long PWWG. Since the series in the corresponding modal or moment equation does not converge for complex propagation constants, the calculation of losses requires an alternate model. Combining the modal formulation and the integral formulation we can adequately describe the electromagnetic behavior of a PWWG component by electric and magnetic surface currents at port planes. The transfer from port to port is calculated from this characterization and subsequently the scattering parameters of the PWWG component are determined. The second part of the thesis concerns the design, realization and measurement of PWWG structures. An excitation structure consisting of a slot-coupled grounded co-planar waveguide positioned in the top ground plane of the PWWG excites the dominant mode in the PWWG over almost its full bandwidth. As in the case of rectangular waveguides, straight sections of PWWG are the basis for the design of components such as bends and splitters. By combining components and by selectively adding and removing posts, complex components such as Butler matrices and filters are realized. To compare simulation and measurement results, sets of PWWG test components have been manufactured, including uniform lines, phase shifters, a bend, a T-splitter, couplers, and a 4x4 Butler matrix.
Virulence and SSR Diversity of Brown Planthopper (Nilaparvata lugens) Adapted on Differential Rice Host Varieties

Brown planthopper biotype 1, 2, 3 and a representative field population are required for resistance screening of promising rice lines in Indonesia, but the current biotype stocks has shown deviation in virulence patterns. The objectives of this study were to develop a set of brown planthopper populations with differential virulence and to investigate their genetic variability using SSR marker. Females originated from two field populations were selected on variety Mudgo (carries Bph1 gene) or ASD7 (bph2 gene) using honeydew excretion as the virulence parameter. Selection cycles resulted in population T, M, A, and R, which was raised and adapted on variety TN1 (carries no Bph gene), Mudgo, ASD7, and Rathu Heenathi (Bph3, Bph17), respectively. Population R was the most virulent as expected and can be used to represent a field population, but the remaining populations still showed high virulence level. AMOVA and PCoA results based on analysis with 38 SSR primer pairs revealed partial genetic separation among populations, with population R was the most genetically distant from the remaining populations. The desired virulence character of the remaining populations is expected could be achieved after further selection and prolonged adaptation on their respective hosts.
Psychological Consequences of Work Injury: Personality, Trauma and Psychological Distress Symptoms of Noninjured Workers and Injured Workers Returning To, or Remaining at Work

Abstract Despite growing recognition of the importance of psychosocial factors in reducing ongoing work disability, research into the psychological consequences for injured workers who remain at, or return to work is limited. This study compares injured workers who have returned to, or remained at, work with noninjured workers on measures of personality, trauma symptoms, and symptoms of psychological distress. Data from structured clinical interviews, psychological and self-report questionnaires were gathered from 29 workers, 14 of whom were recovering from an injury at the time of participation. Injured workers demonstrated higher levels of Neuroticism and lower Extraversion, indicating greater emotional instability and lower capacity for adaptively coping with stress when compared to noninjured workers. They also reported subclinical elevations on scales of trauma symptoms, and greater levels of depressive symptoms, somatic complaints, anxiety and sleep disturbance in comparison with noninjured workers. These results suggest that the psychological consequences for workers who return to, or remain at, work following injury may reduce adaptation and increase vulnerability to secondary work disability.
Initial results in Prony analysis of power system response signals

Prony analysis extends Fourier analysis by directly estimating the frequency, damping, strength, and relative phase of modal components present in a given signal. The ability to extract such information from transient stability program simulations and from large-scale system tests of disturbances would be quite valuable to power system engineers. Early results of the application of this method to stability program output are reported. Also included are benchmarks against known models and a brief mathematical summary. >
Sensitive Mechanofluorochromic Carbon Dot‐Based AIEgens: Promising Reporting Components for Self‐Sensing Plastics

Mechanofluorochromic carbon dot‐based aggregation‐induced emission luminogens (M‐CD‐AIEgens) are attracting much attention because of their many potential practical applications. However, the mechanofluorochromic response of current M‐CD‐AIEgens only occurs under high pressure, which greatly hinders their practical applications. To overcome this shortcoming, more pressure‐sensitive M‐CD‐AIEgens are now developed, which show approximately fivefold enhancement of photoluminescence quantum yield after grinding. This enhancement of photoluminescence is attributed to the weakening of π–π stacking interactions between the carbon dots, which is caused by the grinding process. To illustrate a potential application of their interesting properties, M‐CD‐AIEgens are incorporated into a poly(e‐caprolactone) matrix to prepare self‐sensing sustainable plastics, which are able to dynamically sense the external pressure distribution when subjected to strain.
REENGINEERING OF CONSTRUCTION MANAGEMENT PROCESS

Applying the business process engineering philosophy, this study focuses on developing a construction management process reengineering (CMPR) method to improve the efficiency of construction management. The CMPR method includes four phases, namely, process representation, process transformation, process evaluation, and reengineering activity. Using CMPR, inefficient operations within a construction company working process can not only be identified, but a new rational operation process can also be developed to improve management efficiency. In this way, the competitive ability of a construction company is also increased. This study argues for the need of a new research agenda in construction management in general. This is illustrated by information technology within construction—in particular, by examining the potential application of the reengineering philosophy. The research possibilities are identified and tested based on the implementation of the CMPR method. To some extent, this study establishes a n.
Validation and application of a far-field time domain formulation for fan noise prediction

The present paper is oriented at the definition of a series of validation test cases for the far-field subsonic formulation of Farassat in the time domain, solving the Lighthill analogy for aeroacoustics in the Ffowcs William-Hawkings formulation for far-field noise predictions. The focus will be on the definition, validation and verification of five test cases for far-field acoustic propagation. The test cases are: (i) a rotating rotor with a pre-defined body force, (ii) a translating and rotating small disk case with a moving observer, (iii) a conventional helicopter rotor case, (iv) the consistency test known as the Isom thickness noise, (v) and a small sized industrial fan. The acoustic pressure signature, sound pressure level and directivity have been calculated for each test case. Graphical outputs and comparisons of results with analytical solution are presented for the four analytical cases and a comparison with results from another code is used for the industrial fan case.
On Rupture: Establishing the Cognitive Bases of Social Change

This article presents a cognitive model of social rupture and develops its implications for social change processes. It takes as its foundation established research on the reflexive transition from implicit (i.e., Type 1) processing into conscious (i.e., Type 2) processing that occurs when individuals’ automatic inferences about their environment become unreliable. By considering how this “conflict monitoring response” (Botvinick et al. 2001) and its associated cognitive and affective effects play out within social contexts, this work establishes a general, cognitive model of social rupture that converges significantly with classic sociological perspectives on the subject. The second half of the article mobilizes the developed model to establish the cognitive bases of social change processes as they manifest across societal scales, from the intrapersonal to the macrosocial. After foregrounding key implications that follow from this socio-cognitive perspective of social change, this work concludes by providing a general framework for how the presented model can be used to develop new empirical approaches for studying real-world social change as it unfolds via individuals’ implicit sensemaking processes.
ANALISA PENGARUH SUPPLY CHAIN MANAGEMENT TERHADAP KEUNGGULAN BERSAING DAN KINERJA PERUSAHAAN MANUFAKTUR DI JAWA TIMUR

Semakin ketatnya persaingan antar perusahaan maka dibutuhkanlah keunggulan bersaing dan peningkatan kinerja bagi perusahaan agar mampu bertahan dalam dunia bisnis yang diduga bisa diperoleh melalui penerapan SCM. Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh supply chain management terhadap keunggulan bersaing dan kinerja perusahaan pada perusahaan manufaktur di Jawa Timur. Penelitian ini merupakan penelitian kausal dan pengolahan data menggunakan Structural Equation Modeling (SEM) dengan software Amos V21. Teknik pengambilan sampel dalam penelitian ini menggunakan purposive sampling. Data diperoleh secara langsung dari responden yang memenuhi karakteristik populasi yang ditentukan dengan menyebarkan kuesioner. Jumlah sampel yang digunakan dalam penelitian ini adalah 116 responden. Hasil penelitian ini menunjukkan bahwa supply chain management berpengaruh positif terhadap keunggulan bersaing dan kinerja perusahaan, dan keunggulan bersaing berpengaruh positif terhadap kinerja perusahaan.
Al alloy weld pool control of welding robot with passive vision

Purpose – The purpose of this paper is to describe work aimed to control the Al alloy welding penetration through the passive vision for welding robot.Design/methodology/approach – First a passive vision system was established. The system can capture the Al alloy welding image. Based on the analysis of the characteristic of the welding image, the composite edge detectors were developed to recognize the shape of the weld seam and the weld pool. To realize the automatic control of the Al alloy‐weld process, the relation between the welding parameter and the quality of the weld appearance was established through the random welding experiment. The wire feed was chosen with PID controller adjusting the wire feed rate according to the weld gap variation.Findings – This paper finds that the passive vision system can be captured the clear weld seam and weld pool image simultaneously. the method of composite edge detectors can be effectively and accurately recognize the weld seam edges. The wire feed rate controll.
An analytical approach in calculation of noise spectrum in microwave oscillators based on harmonic balance

In this paper, a novel method for nonlinear analysis of noise in microwave oscillators is presented. Based on harmonic balance, the method is general from the point-of-view of circuit topology, noise sources spectral distribution, and their cross correlation. In this method, the effects such as frequency conversion and frequency modulation are considered simultaneously in a unified treatment. Relatively precise estimations for the output signal spectral density of an oscillator are practically obtained.
Signal architecture for a Distributed Magnetic Local Positioning System

This paper presents the Distributed Magnetic Local Positioning System, which can be used by a mobile robot to measure absolute position and attitude, even in the cluttered environment of an office building or warehouse. The system is based on extremely low frequency magnetic fields, which have excellent characteristics for penetrating line-of-sight obstructions. Multiple beacons distributed throughout a building are used to generate the fields using an orthogonal set of pseudorandom codes. This signal architecture results in low overall frequency content, reducing eddy field noise, while maintaining good performance versus additive white Gaussian noise.