Miracle-dz/UniFAR-FTUs huggingface dataset:
BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework

Neuromarketing relies on Brain Computer Interface (BCI) technology to gain insight into how customers react to marketing stimuli. Marketers spend about $750 billion annually on traditional marketing camping. They use traditional marketing research procedures such as Personal Depth Interviews, Surveys, Focused Group Discussions, and so on, which are frequently criticized for failing to extract true consumer preferences. On the other hand, Neuromarketing promises to overcome such constraints. This work proposes a machine learning framework for predicting consumers' purchase intention (PI) and affective attitude (AA) from analyzing EEG signals. In this work, EEG signals are collected from 20 healthy participants while administering three advertising stimuli settings: product, endorsement, and promotion. After preprocessing, features are extracted in three domains (time, frequency, and time-frequency). Then, after selecting features using wrapper-based methods Recursive Feature Elimination, Support Vector Machine is used for categorizing positive and negative (AA and PI). The experimental results show that proposed framework achieves an accuracy of 84 and 87.00% for PI and AA ensuring the simulation of real-life results. In addition, AA and PI signals show N200 and N400 components when people tend to take decision after visualizing static advertisement. Moreover, negative AA signals shows more dispersion than positive AA signals. Furthermore, this work paves the way for implementing such a neuromarketing framework using consumer-grade EEG devices in a real-life setting. Therefore, it is evident that BCI-based neuromarketing technology can help brands and businesses effectively predict future consumer preferences. Hence, EEG-based neuromarketing technologies can assist brands and enterprizes in accurately forecasting future consumer preferences.
Development of a bead-based assay for detection of three banana-infecting viruses

Background Banana bunchy top virus (BBTV), cucumber mosaic virus (CMV) and banana streak virus (BSV) are important banana viruses, there are possible infections frequently with several viruses in field. Since the viruses are readily trasmitted in vegetative propagules, which pose a threat to banana production in banana-growing areas. Methods A multiplex polymerase chain reaction (PCR) protocol combined with LiquiChip analysis to identify BSV, BBTV, and CMV, with consistent amplification of plant ubiquitin (UBQ), the banana plant messenger RNA used as a procedural control. Multiplex reverse transcription (RT)-PCR amplicons were extended by allele-specific primers, followed by hybridization with carboxylated microspheres containing unique fluorescent oligonucleotides, which were detected using the LiquiChip 200 workstation. Results In this study, we aimed to develop a rapid, sensitive, and simultaneous detection method for BSV, BBTV, and CMV using a bead-based multiplex assay that can be applied in routine diagnosis. We demonstrated that this detection system was extremely efficient and highly specialized for differentiating individual in a mixture of viruses while being ten times more sensitive than traditional RT-PCR. The development of this method makes it feasible to detect banana viruses in field collected leaf samples.
Health Help-Seeking Behavior: The Scavengers’ Perspective

Scavengers are prone to various health problems, hence seeking healthcare is inevitable. Despite the importance of the help-seeking behavior of scavengers, it has not been addressed explicitly in the existing literature. Addressing this gap, this study intends to explore the help-seeking behavior of scavengers and to identify the factors that influence healthcare utilization among them. This qualitative study conducted thirty-one in-depth interviews through a semi-structured interview guide and analyzed them using thematic analysis. Andersen’s Behavioral Model of Health Service Use was employed to explore the findings. The findings showed that the scavengers utilized multiple healthcare options depending on the severity and reoccurrence of the illness. The process of help-seeking and health services utilization was largely influenced by the cost of the health service, long distance to the health facility, traveling cost and waiting time. The study highlights the need for scavengers’ enrolment in micro health insurance schemes. The initiative would facilitate scavengers’ access to medical care. Health awareness campaigns and the provision of free mobile medical services, especially at the landfill sites, would also improve curative treatment among scavengers.
Summarization on fire risk evaluation method of building

Building fire happens a lot and costs much loss.Fire risk evaluation is the precondition to make reasonable and effective fire prevention project.Summarizing the research of fire risk evaluation method by now,summing up the main methods,the basis was given to make effective fire prevention project.It also helps to performance-based design and to make reasonable insurance rate.
World Health Organization Disability Assessment Schedule 2.0: psychometric properties and validation of the Ukrainian version in a sample of cadets of the Armed Forces

Introduction: The health and functioning of the military are a priority in Ukraine. The WHODAS as the international tool for assessing the level of disability can be effectively used within the health care system in such a group of the population. The aim was to examine the psychometric properties of Ukrainian version of the WHODAS 2.0 in a sample of cadets. Material and methods: Military cadets responded to the Ukrainian 36-item version of the WHODAS and MOS SF-36 scales. The internal consistency, structure, and construct validity of the WHODAS were examined. Results: A homogeneous sample of military personnel’s was obtained in terms of age, living situations and level of physical activity. Internal consistency of the all WHODAS domain by Cronbach’s alpha was 0.951. Final model which consisted of six factors was identified by the results of exploratory factor analysis. Factors covered 66.413% of the total variance. Numerous negative moderate or high correlations were also found between almost all MOS SF-36 questionnaire scales and WHODAS domains (r = –0.553 – –0.513). Ten out of 14 a priori assumed hypotheses (71.4%) were confirmed, that indicated moderate construct validity of the WHODAS 2.0. Conclusions: The Ukrainian version of WHODAS 2.0 had a high internal consistency and sufficient construct valid ity. It shows as a valid instrument to assess the general level and main domains of functioning of specific categories of the population. The WHODAS can be a useful to obtain information about the limitations in functioning in Ukrainian speaking population for health and social policy services in different countries.
Parsing the Hand Gesture of Traffic Police Officers by Using OpenPose

Nowadays, as self-driving cars become more and more popular, more features should be added to the whole function of self-driving cars. One of them should be the ability to parse the hand gestures of traffic police officers. To fully bring self-driving cars to reality, such a feature should be discussed and considered in their functionality. In recent decades, real-time 3D hand pose estimation combined with depth cameras has contributed to the successful launch of virtual reality and augmented reality applications. This essay focuses on using OpenPose to parse the hand gestures of traffic police officers based on the expected functionality of self-driving cars. Based on the given background, this article will use comparison to separate the traditional methods and the new method. The result generated by OpenPose is faster and more accurate (99% accuracy), so that it can be a choice for the future algorithm of recognition of hand gesture recognition of traffic officers in self-driving cars.
The Effectiveness of Contextual Teaching and Learning Approach in Enhancing Indonesian EFL Secondary Learners’ Narrative Writing Skill

This study investigates the effectiveness of the Contextual Teaching and Learning (CTL) approach in enhancing Indonesian EFL secondary learners’ narrative writing skills and the perception of Indonesian EFL secondary schools toward applying the CTL approach. This study employed a quasi-experimental design with fifty-two eleventh-grade students as participants. The participants were divided into two groups; An experimental group received the CTL approach, and a control group received the conventional way. This study utilized a pre-posttest and perceptional questionnaire. Nonparametric tests (i.e., Mann-Whitney U test and Wilcoxon test) were run to analyze the data in this study. The Man-Whitney U test indicated a significant difference between the mean score for the experimental group with the CTL approach and the control group without the CTL approach (9.86 > 10.12). Meanwhile, the Wilcoxon test illustrated that the leading score of the pre-test (10.14) and the post-test (16.05) in the experimental group differ significantly. Implementation of the CTL approach through its components positively contributes to teaching narrative writing skills. Meanwhile, the perceptional questionnaires showed that the students' experiment group perceived the implementation of the CTL Approach positively. This study results render teachers’ insight into a practical approach to teaching writing to be able to teach narrative writing.
Improved Fletcher-Reeves Methods Based on New Scaling Techniques

This paper introduces a scaling parameter to the Fletcher-Reeves (FR) nonlinear conjugate gradient method. The main aim is to improve its theoretical and numerical properties when applied with inexact line searches to unconstrained optimization problems. We show that the sufficient descent and global convergence properties of Al-Baali for the FR method with a fairly accurate line search are maintained. We also consider the possibility of extending this result to less accurate line search for appropriate values of the scaling parameter. The reported numerical results show that several values for the proposed scaling parameter improve the performance of the FR method significantly.
Investigation Of Heat Transfer Augmentation In A Tube With Different Modified Twisted Tape Inserts Under The Same Conditions

The swirl flow devices like twisted tape, winglet, groove, conical ring, wire coil etc. have been used as passive heat transfer augmentation technique. Especially, twisted tape devices have been applied in thermal engineering systems such as boilers, heat exchangers, water heater. Many researches using swirl flow devices particularly twisted tape with different geometries for heat transfer enhancement have been published. In this paper, different modified twisted tapes which had examined in previous studies were compared with each other with regard to heat transfer augmentation. Heat transfer, friction factor and thermal-hydraulic performance factor characteristics were investigated separately under the same conditions such as same twisted ratios and same Reynolds number values. Twisted tape which gives best heat transfer and friction factor results was determined. Derived empirical correlations which had been found by researchers were used for comparison between twisted tapes. ayri ayri incelenmistir. En iyi isi transfer ve surtunme faktoru degerlerini veren burgu eleman belirlenmistir. Arastirmacilar tarafindan bulunmus turetilen denklemler burgu elemanlarin kiyaslanmasi icin kullanilmistir
A simplified method for estimating chemical oxygen demand (COD) fractions.

A simplified method is presented for estimating chemical oxygen demand (COD) fractions. Its effectiveness was assessed by comparing different values found in literature. This case study considered two main sanitary sewer collection systems in Bogota, Colombia. The results showed important differences in COD fractions between the sewer collection systems and the reference data. The method presented demonstrated advantages over those currently in place, the paper provides detailed explanations of the steps required and establishes a unified interpretation of the results obtained.
Analysis of Dead Time Set for Insulated Gate Bipolar Transistor Under Different Load Conditions

The dead-time setting of insulated gate bipolar transistor(IGBT) widely adopts the formula offered in the Infenion technical documents. However, the formula does not take the variation of load conditions into account, so it is possible to result in unreasonable settings. Regarding this issue, we analyzed the influence of dead-time setting on the shoot-through regions, and conducted experiments of different loads to determine the dead time setting. The results were compared with the theoretical values obtained from the Infenion formula. It is concluded that it is necessary to consider the fall duration of turnoff process for resistance loads, while considering the delay in the same duration is enough for inductance load. The test results under no-load situation are not suggested for reference. Therefore, we modified the Infenion formula according to various loads condition, and analyzed the reasons of the difference between the modified formulas.
Three Approaches to Artificial Intelligence

: The aim of this paper is the expansion of understanding what intelligence is, what is being performed in the area of AI and in which direction to move further in this area. To achieve these goals, the stratiﬁed componential model of intelligence in general and AI, in particular, is introduced and studied. Its application entails three approaches to the development of artiﬁcial intelligence.
Feminist Academics Strategically Playing Offense/Defense in Pursue of Academic and Societal Change

ABSTRACT In this intimate-insider study on feminist activists in Icelandic academia we build on Hark’s theoretical concept of the precarious precondition for change. We unpack the concept and apply it to our own research, revealing how feminist scholars dissent to the masculinized neoliberal academic game in pursue of creating change. The findings reveal how the women play their own offence/defence game within the established rules of the academic game. They utilize strategies, both inside and outside of the academia, to guard their discipline, create a ripple effect and handle and control criticism. Moreover, the findings point to the internalized and individuated nature of feminist activism in this setting and the emotional and socio-political costs it entails. Without game plan and accompanying strategies chances for feminist success and change are slim, as there is the constant threat of becoming absorbed or wiped out by the ruling neoliberal game and male biased system.
Self-Assembled Peptide Habitats to Model Tumor Metastasis

Metastatic tumours are complex ecosystems; a community of multiple cell types, including cancerous cells, fibroblasts, and immune cells that exist within a supportive and specific microenvironment. The interplay of these cells, together with tissue specific chemical, structural and temporal signals within a three-dimensional (3D) habitat, direct tumour cell behavior, a subtlety that can be easily lost in 2D tissue culture. Here, we investigate a significantly improved tool, consisting of a novel matrix of functionally programmed peptide sequences, self-assembled into a scaffold to enable the growth and the migration of multicellular lung tumour spheroids, as proof-of-concept. This 3D functional model aims to mimic the biological, chemical, and contextual cues of an in vivo tumor more closely than a typically used, unstructured hydrogel, allowing spatial and temporal activity modelling. This approach shows promise as a cancer model, enhancing current understandings of how tumours progress and spread over time within their microenvironment.
Study on the Minimum Bactericidal Concentration (MBC) of Maillard reaction products of Chitosan and Glucosamine prepared by Gamma-irradiation Method

The Maillard reaction products of chitosan and glucosamine (CTS-GA MRPs) were formed by gamma Co-60-irradiation method and determined their minimum bactericidal concentrations (MBC). The mixed solutions of chitosan - glucosamine were irradiated with a dose range of 0-100 kGy to induce the Maillard reaction products (MRPs). The formations of MRPs were determined by spectrophotometric analyses and the contents of remaining glucosamine were evaluated by high performance liquid chromatography (HPLC). The antibacterial activities of CTS-GA MRPs were tested by agar well diffusion test and MBC determination test against both gram negative (Escherichia coli) and positive bacteria (Bacillus subtilis) at acidic and alkaline pH was also carried out. By agar well diffusion test, irradiated CTS-GA solutions were able to form inhibition growth zones on E. coli plate whereas on B. subtilis plate, only CTS-GA MRPs irradiated at 25 kGy expressed this ability. The results of the MBC determination test indicated that CTS-GA MRPs formed at 25 kGy exhibited highly antibacterial activity in pH 5 and even pH 7. Therefore, this CTS-GA MRPs could be used as a promising preservative agent applied for meat and meat-product preservation.
Inverse Modeling and Optimization of CSRR-Based Microwave Sensors for Industrial Applications

Design optimization of multivariable resonators is a challenging topic in the area of microwave sensors for industrial applications. This article proposes a novel methodology for rapid redesign and parameter tuning of complementary split-ring resonators (CSRRs). Our approach involves inverse surrogate models established using preoptimized resonator data as well as analytical correction techniques to enable rapid adjustment of geometry parameters and CSRR optimization over broad ranges of operating frequencies. The tuning process is arranged to precisely allocate the operating frequency while maximizing the quality factor of the circuit. The procedure is generic and characterized by an extremely low computational cost of up to two electromagnetic (EM) analyses of the circuit at hand (not counting the inverse model setup). The presented technique is demonstrated using a circular CSRR coupled to a microstrip transmission line (MTL) and optimized to operate between 5 and 20 GHz. The design optimized for 15 GHz is fabricated and experimentally validated using a vector network analyzer. The sensor works in the transmission mode and senses the shift in resonance frequency determined by the properties of the material under test (MUT). Furthermore, an inverse regression model is developed that allows for directly finding the unknown permittivity of the MUT based on the measured resonant frequencies of the sensor. The obtained results corroborate the design utility of the proposed optimization method, as well as the practical usefulness of the specific CSRR structure developed with the aid thereof.
Model Predictive Control Algorithms for Pen and Pump Insulin Administration

In this paper we use open-loop constrained non-linear optimal control to compute insulin administration profiles for people with type 1 diabetes. The algorithm is a multiple shooting algorithm based on sequential quadratic programming (SQP) for optimisation and an explicit Dormand-Prince Runge-Kutta method (DOPRI54) for numerical integration and sensitivity computation. We describe the numerical details of the constrained non-linear optimal control algorithm. The Hovorka model is used to describe a person with type 1 diabetes. We use the model and the algorithm to compute insulin administration profiles for people with type 1 diabetes in the cases with and without meal announcement in advance. The case with advance meal announcement results in almost perfect glucose control, but is undesirable as an insulin therapy due to the fact that most of the meal-related insulin is injected before the meal is actually taken. In the second, more realistic case, information about the meal is provided to the controller as the meal is taken. In this case, the optimal insulin administration profile is characterised by bolus-like injections of insulin coincident with the meals. These results indicate that, for certain conditions, insulin pens may be able to provide glucose control comparable to that of insulin pumps.
H∞ Robust Control of Interconnected Air Suspension Based on Mode Switching

Aiming at the semi-active control problem of interconnected air suspension, an interconnected mode switching control strategy is designed based on the variation law of comprehensive indexes under different interconnected modes. Considering the parameter uncertainties in the process of model linearization, a semi-active control strategy of vehicle interconnected air suspension considering parameter uncertainties is proposed based on robust control theory. Based on BP neural network method, the mapping relationship between spring force and air spring volume is established, and the tracking of the spring force is realized. The numerical simulation of air suspension semi-active control system considering parameter uncertainties is carried out to verify the effectiveness of the semi-active control system. The simulation and real vehicle test results show that the proposed control strategy can not only improve the suspension performance and have strong robustness to parameter uncertainties.
Multi-branch neural network for hybrid metrology improvement

In the domain of advanced patterning, and especially at lithography steps achieve very small sizes becomes more and more crucial. This induces measurement challenges and thus requiring the development of new, precise and robust metrology techniques. To overcome the limited constraints of different techniques, one of the most promising approaches is hybrid metrology. It consists in gathering several metrology techniques to measure all the geometrical parameters which are processed them by an algorithm (mainly machine learning algorithm). This work stands out by using for deep learning a multi-branch neural network to increase the precision of predicts. With a particular attention made to the dataset generation and specific settings for each branch, we developed the potential of this approach which increase the precision of predicts.
Value of corape plant as famine food in Darfur State, Sudan

Darfur state of Sudan faces famine at different times, thus necessitating a search for improved coping strategies. The objective of this study was to assess the value of Corape (Dactyloctenium aegyptiacum) plant as a food crop during famine periods in Darfur state in Sudan. Atotal of 132 respondents purposely selected from Alfashir, the capital of north Darfur were interviewed using a semi-structured questionnaire. Also, key informants and focus group discussions with local leaders of the area were engaged in data collection. A total of 82.6% attested the existence of the Corape plant in Darfur; while 49.2% confirmed its significance as a famine crop in Darfur. Corape seed is used to prepare different types of meals and its seed stores for 15 - 20 years. Corape vegetation is also used as animal fodder, which according to 28% of the respondents can be stored for 6 to 12 months without significant deterioration in quality. This study concluded that the Corape plant has a good potential as food and fodder plant and can contribute significantly to household food security and livelihoods of local communities, if the problems of storage and pests were tackled.