Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data

Humans react both cognitively and emotionally to the built environment. With the recent advent of wearable technology such as mobile EEG devices and biometric wrist monitors that record the electrical activity of the brain and measure physiological data, we have new tools to inspect the internal states of building visitors and to determine whether a measurable, physiological response accompanies their experiences. These measures can shed light on the neural correlates of aesthetic architectural appreciation through specific electrographic signatures. They also create a promising foundation for future architectural design.In this study, we evaluated the cognitive impacts of two distinct architectural conditions—one secular and one religious—on individuals with committed religious faith. Employing machine learning algorithms, specifically the random forest and support vector machine, to analyze the EEG data, we constructed intrasubject and intersubject models to predict whether a given second of EEG data was recorded in the secular or religious building. The best intrasubject model demonstrates just under 80% accuracy on average, reaching up to 90% accuracy for some subjects, indicating a consistent and measurable response within each participant. However, the individual variability in EEG measurements poses challenges for constructing an intersubject model with a sample size of 32 subjects. To achieve success across a broader range of subjects, a larger sample size or additional features may be necessary for developing an effective classifier.
Dynamic Scheduling Analysis System of Intelligent Workshop Manufacturing Process Based on Digital Twin

Along with the rapid development of the computer technique, the numerical twin technique has been widely used in each field. The digital twin is a kind of image of the material world in the information plane. It is very close to the real world, and it can offer the whole and precise information about the material. In the manufacturing industry, digital twin technology can provide a comprehensive, intuitive, and dynamic visual display platform for the dynamic scheduling analysis of the manufacturing process of the intelligent workshop, and provide support for its realization of intelligent production. This article adopts a digital twin-based intelligent workshop manufacturing process dynamic scheduling analysis system. By constructing the digital twin model and data model of the manufacturing process, the functions of digital twin and simulation, scheduling analysis, and intelligent monitoring of the manufacturing process are realized. The experimental results show that the application of digital twin technology can improve the production quality of the workshop to a maximum of 94.4%.
Analysing the anticipate of Microsoft’s acquisition on Activision Blizzard

This research applies the marketing mix theory to analyses the topic of Microsoft’s acquisition of Activision Blizzard in a rapidly evolving technological society. The focus of this analysis is on the game industry, which is closely intertwined with technological advancements. Combining the SWOT analysis method and qualitative research, this essay explores the relationships between the different elements of the marketing mix theory and their impact on the phenomenon. The research findings indicate that each element of the marketing mix theory, particularly promotion and product, has a positive correlation with customers’ purchase intentions in the context of Microsoft’s acquisition of Activision Blizzard. Overall, this paper contributes to a better understanding of the impact of Microsoft’s acquisition of Activision Blizzard by leveraging marketing mix theory and its implications for the game industry. The findings highlight the importance of strategic management and decision-making in technology companies and provide valuable insights for the industry’s future growth and development.
Water sustainability of large cities in the United States from the perspectives of population increase, anthropogenic activities, and climate change

Balancing water demand and supply with depleting sources and increasing demand needs a multi‐dimensional approach given the pace at which the world is urbanizing. This study selected the contiguous United States (CONUS), 42 specific cities and their river basins to determine: Which basins and cities are more susceptible to increased water shortage? Population, water use, hydrologic model and climate model data from CMIP5 were used. Representative Concentration Pathways scenarios: RCP2.6, RCP4.5, RCP6, and RCP8.5 represented different climate change conditions. Period 1 (1950–2004) showed that more areas are affected by monthly runoff and streamflow than annual averages. In some cases, significant decreasing trends in water availability were observed during the summer (June–July–August) and spring (March–April–May) seasons. The second period (2005–2049) indicated an annual increasing trend (more water available) with higher intensity for the RCP6 scenario. Summer and spring showed areas of decreasing trend (less water available) for RCP4.5 and RCP6. Period 3 (2050–2099) exhibited a decreasing trend for the RCP2.6 (Western and Central CONUS, Great Lakes, and FL), RCP4.5 (Southwest CONUS), RCP6 (Western United States), and Central CONUS (RCP8.5). The Mississippi River has a mixed sensitivity to future climate change. The Central Valley of California, Los Angeles, Phoenix, and Tucson can face further challenges as the Colorado River becomes depleted. Seawater desalination and inter‐basin water transfer can be considered in future and present policies and structural developments. The West, Southeastern Coast, and FL may consider desalination, while the West and Central CONUS can use the Mississippi for inter‐basin transfer.
How intercultural communicative competence is evidenced in the writing of texts

In 2004, the Ministry of Education (Ministerio de Educación Nacional, MEN) published the basic standards for citizenship skills, depicting those as key to foci to work within schools to foster the emergence and development of citizens who can coexist with others and maintain proper communication. Thus, this research study inquired tenth graders about the opportunities derived from a possible intervention that linked both, culture and citizenship in the English class environment, in order to improve the existing English language curriculum. After getting the results of the preliminary needs analysis, researchers discovered that students were interested in exploring these fields, as well as knowing about other cultures. This action research study aimed at finding evidence of intercultural communicative competence (ICC) skills through writing narrative texts in English as a foreign language. Participants were 75 tenth-grade students, between the ages of 14 and 17 years old, who attended three different public schools in Bogotá, Colombia. Through literature circles (discussion groups) and storytelling tools, learners played a specific role, discovered similarities and differences among cultures, reflected upon their tolerance levels and explored ways to face problems. Findings suggested that students were able to identify differences in cultures and how those differences helped them to build identity. In addition, they analysed how they reacted in situations where their tolerance skills were challenged. This experience allowed them to have a deeper level of empathy with others. The study also revealed the learners ability to convey meaning, using effective communication despite the language problems that they had.
Does the fulfillment of contraceptive method preferences affect contraceptive continuation? Evidence from urban Kenya, Nigeria, and Senegal

BACKGROUND Although interest in patient-centered family planning measures is growing, little is known about women’s preferences for contraceptive methods and whether these preferences influence contraceptive behaviors. OBJECTIVE We assessed whether the fulfillment of contraceptive preferences affected women’s decisions to continue, switch, or stop using contraception. METHODS Data came from a panel of urban Kenyan, Nigerian, and Senegalese women collected between 2010–2015. Women who were not using contraception at baseline and intended to use reported their preferred contraceptive method, and then at the second round reported their contraceptive use, which permits us to measure whether they fulfilled their baseline preference. We then examined whether fulfilling their contraceptive preference was associated with the decision to continue, switch, or stop using contraception by the third round by estimating a set of probit and bivariate probit models.
Implementation of Partial RNS-Assisted Mutual Authentication Protocol for RFID-Enabled IoT Devices

Hardware cryptography is a focused area to implement the recent wireless technologies such as healthcare applications. The rapid advancement of technology has led to various security breaches in the applications, and the combination of RFID and IoT technology provides the solution in recent days. An efficient encoder for mutual authentication protocol suitable for lightweight RFID-enabled IoT applications is developed in this work. Partial Residue Number System (RNS) without reverse converter and Dual Modular Multiplier Function (DMMF) is used to design an encoder that provides more security to the protocol. The encoder architecture is described using Verilog HDL, and its performance is evaluated in ASIC platform. From the qualitative analysis, the proposed Partial RNS-assisted Mutual Authentication Protocol provides appreciable security and performance balance than the state-of-the-art MAP, which can be utilized for RFID-Enabled IoT Devices.
Analyzing Threat Vectors in ICS Cyberattacks

The rise in cyberattacks on Industrial Control Systems (ICS) shows the need for enhanced security measures. Integrating diverse cybersecurity datasets is essential to provide a comprehensive view of the threat landscape. This paper presents an approach to automatically connect Common Weakness Enumeration (CWEs) and ICS-specific MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) techniques. We present studies on how embedding-based approaches such as SBERT and BERT and frequency-based approaches such as TF-IDF perform in detecting connections between ICS ATT&CK Techniques and CWEs. Furthermore, we employ advanced analytical methods to identify common attack patterns. We present three case studies to demonstrate the potential of embedding-based approaches for mapping multiple datasets. Our approach holds promise for detecting ICS weaknesses, showing how integrating expert knowledge and domain-specific data can be used for advanced threat analytics.
Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis

Introduction: Current evidence reveals concerning rates of non-adherence to antidepressant treatment, possibly influenced by various relevant determinants such as sociodemographic factors or those related to the health system and their professionals. The aim of this paper is to review the scientific evidence on sociodemographic and clinical predictors of adherence to pharmacological treatment in patients diagnosed with a depressive disorder. Methods: a systematic review (SR) was conducted. The search for a previous SR was updated and de novo searches were performed in Medline, EMBASE, Web of Science (WoS) and PsycInfo (last 10 years). The risk of bias was assessed using the Cochrane tool for non-randomized studies—of Exposure (ROBINS-E). Meta-analyses were conducted. Results: Thirty-nine studies (n = 2,778,313) were included, 24 of them in the meta-analyses. In the initiation phase, no association of adherence was found with any of the predictors studied. In the implementation and discontinuation phases, middle-aged and older patients had better adherence rates and lower discontinuation rates than younger ones. White patients adhered to treatment better than African-American patients. Discussion: Age and ethnicity are presented as the predictive factors of pharmacological adherence. However, more research is needed in this field to obtain more conclusive results on other possible factors. Systematic Review Registration: [https://www.crd. york.ac. uk/prospero/display_record. php? ID=CRD42023414059], identifier [CRD42023414059]
Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF

Ensemble Kalman filter (EnKF) and 4D‐Variational (4D‐Var) are two advanced data assimilation methods that are the basis of numerical weather prediction and have been extensively used in trace gas assimilation and inverse modeling. In this study, we compare 4D‐Var and the Local Ensemble Transform Kalman Filter (LETKF), one type of EnKF, in estimating CO2 fluxes with both simulated and real satellite data from Greenhouse gases Observing Satellite (GOSAT) and propose a method to calculate flux changes and flux error reductions from assimilating each observation within the LETKF. The results show that the mean posterior flux accuracy across 11 land regions defined by the Atmospheric Tracer Transport Model Intercomparison Project is comparable between 4D‐Var and the LETKF, as shown in the Observing System Simulation Experiment, but the differences between the LETKF and 4D‐Var are relatively larger over data sparse regions. We show that this is most likely due to the fact that the observations from a much broader region have impact on flux estimation in 4D‐Var than in the LETKF. As a result, the posterior fluxes from 4D‐Var are more consistent with the atmospheric CO2 growth rate. We find that the inversion results are less dependent on inversion methods with the increase of observations. With real GOSAT observations, we show that the posterior flux changes in 2011 relative to 2010 are more consistent between these two methods than the absolute estimates.
Types of Responses of the EU Labour Markets in the Early Covid-Pandemic Period

The dual impact of the COVID-19 pandemic (simultaneous demand and supply shocks) was manifested by values of the economically important indicators, including measures applied to the labour market. The magnitude and scope of the response on the European Union labour markets were significantly country-specific parameters. The purpose of this article is to identify the types of responses of the EU labour markets in the early phase of the COVID-19 pandemic. One of the agglomeration clustering methods, namely the Ward approach, has been applied to create groups of the studied labour markets. The application of this method led to the identification of 4 clusters of economies, characterized by different types of response in terms of the direction and intensity of changes on the labour market during the COVID-19 pandemic.
Effect of legume hay supplementation on feed intake, growth, digestibility and volatile fatty acid production of Xhosa goats

Abstract The objective of this study was to evaluate the effects of sex and supplementing Chloris gayana hay with either Lablab purpureus or Vigna unguiculata on growth, volatile fatty acid (VFA) production and apparent nutrient digestibility. Eighteen goats, one-year-old, of average live weight 14.13 ±0.24kg was apportioned in a completely randomized design to three diets which were iso-nitrogenous and iso-energetic. Animals were housed individually with 6 animals per treatment composed of three males and three females. Total DM intake was higher (P < 0.05) in T2 (694.8 g/head/day) and T3 (688.1 g/head/day) compared to T1 (607.8 g/head day). The goats gained at a rate of 35.0g/d; 45.0g/d and 38.3g/d for T1, T2, and T3, respectively. Goats on T2 showed a non-significantly higher (P > 0.05) growth rate exhibiting total gain of 2.68kg compared to 2.08kg and 2.33kg for T1 and T3, respectively. Animals on T1 (19.16) exhibited a significantly lower FCR (P < 0.05) than T2 (15.44) and T3 (18.11). Apparent DM digestibility were significantly different (P < 0.05) among treatment diets. Sex significantly influenced DM, ADF and NDF digestibilities (P < 0.05). There were no significant (P > 0.05) differences in individual VFA molar concentrations among treatment diets and due to sex for acetate, propionate, valerate, iso-butyrate and iso-valerate. However, diets significantly influenced butyrate concentration (P < 0.05) with 0.25, 0.95 and 0.25mM for T1, T2 and T3, respectively. The percentage molar concentration for acetate was 75%, 73%, and 77% while the propionate concentration was 12%, 8% and 10.7 % for T1, T2, and T3, respectively. The acetate to propionate ratio was 6.2, 9.12 and 7.15 for T1, T2, and T3, respectively. In conclusion, the study demonstrated that Cowpea and Lablab forages can support growth in goats at the same level of CP as in commercial pellets.
The Effects of the Dietary Inclusion of By-Products Obtained after the Extraction of Vitamin B2 from Fermented Soybean on the Performance and Meat Quality of Growing–Finishing Pigs

The by-products obtained after the extraction of vitamin B2 from fermented soybean (VBP), primarily consisting of soybean meal, soybean oil, vitamin B2, and Bacillus subtilis, may serve as a cost-effective and recycled resource in animal feed. This research aimed to assess the impact of VBP on the growth performance, nutrient utilization, blood parameters, and meat quality of pigs in the growing–finishing phase. In this 16-week feeding experiment, 140 pigs of mixed breed [Duroc × (Landrace × Yorkshire)] were used, with an initial average body weight of 26.05 ± 1.32 kg. The pigs were assigned randomly to one of four dietary groups, each consisting of five pigs, with two gilts and three barrows per pen, and a total of seven repetitions per treatment. The animals were fed different levels of by-products after vitamin B2 extraction (0, 10, 20, and 30 g/kg as the CON, VBP10, VBP20, and VBP30 dietary groups, respectively) in a three-phase feeding trial (wk. 0–4, 4–8, and 8–13). When higher levels of VBP were added as supplements, the outcomes indicated that there were no notable variations (p > 0.05) in growth performance and nutrient digestibility among the treatment groups throughout the trial. In phase II (4–8 weeks), the inclusion of VBP in the diets showed a reduction (p = 0.011; with linear and quadratic effects, p = 0.003) in serum norepinephrine concentration. The sensory evaluation of meat color was linearly improved (p = 0.043) in pigs fed with graded levels of VBP supplementation. The percentage of lean meat showed a significant improvement (p = 0.016) with the gradual levels of VBP supplementation. The addition of 30 g/kg (on an as-fed basis) of vitamin B2 by-products in the diet can simultaneously mitigate the negative impacts of acute stress without compromising growth performance and enhance the percentage of lean meat. These findings suggest that VBP could be a viable and economical alternative to corn and soybean meal and partially replace it in pig feed.
Sentiment Analysis on Cyanide Case After 'Ice Cold' Aired with NLP Method using Naïve Bayes Algorithm

Information technology is developing increasingly rapidly, and the reach of the Internet has expanded even to remote areas. The public increasingly uses social media as a source of information that discusses all aspects of people's lives. Social media has a vital role for most people, one of which is the news of the cyanide coffee case. The Cyanide Coffee case was discussed again by netizens after Netflix raised this case in a documentary film entitled Ice Cold, which made the public even more convinced of the irregularities of the case. Based on this, sentiment analysis is needed to extract comments to obtain public opinion information. The sentiment analysis aims to create a sentiment model to determine public comments on this case. Therefore, this research was conducted to find out and classify public sentiment on the Cyanide Coffee Case using the Natural Language Processing (NLP) method, which is a text preprocessing process followed by the tokenization stage. Data filtering was used using Indonesian Stopwords, and then normalization was continued using Porter Stemmer. In this study, data collection was carried out based on public comments on Ice Cold shows on the TikTok platform using TikTok Comments Scraper. The test results show that the classification using naïve Bayes obtained the results of 22 negative comments, 4052 neutral comments and 34 positive comments. The classification results of this study are 87% accuracy, 97.6% precision, 87% recall, and 91.9% F-Score.
An Empirical Study of Covid-19 Effect on Health Care Workers’ Career Development

The COVID-19 pandemic has affected the lives and health of many people. Among them, health care workers indeed played the biggest role. In this work, we investigate the health care workers job applications, and the job postings change with the time series analysis perspective. The dataset is provided by Kariyer.net, which is the foremost job-searching company in Turkey. Since the data set includes job applications over every region of country, the results reveal important facts about health care workers in Turkey. We aim to study the possible effect of vaccination on health care workers job search decisions.
Millimeter-Wave Display-Integrated FMCW Radar for Hand Gesture Recognition in Mobile Devices

This paper proposes a display-integrated radar for hand gesture recognition (HGR) in mobile devices. The array antennas of the proposed radar are implemented in dead space, which is the edge part of the display panel to overcome lack of space problem in mobile devices. The proposed radar module is fabricated, and by signal processing, distinct four micro-signatures are generated for each gesture. The performance of HGR of our radar is verified by training and testing the micro-signatures using machine learning algorithm.