Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiological Responses to Movies Predict Marital Satisfaction

People perceive psychological characteristics (PCs), such as the personality and values of a marriage partner, as extremely important factors in partner selection. Due to its importance, considerable work has investigated the relationship between couples’ PCs and their marital satisfaction, and their findings have been adopted by matchmaking services. However, these studies and services have determined the PCs using self-report questionnaires, in which the resulting measurements have limited amount of information and various biases, and thus, have limited predictive utility for marital satisfaction. Given this, we examined the predictive utility of brain and cardiac responses, which are known to correlate with PCs, providing information that are very different in nature and quality from what a questionnaire measures and present fewer biases. We collected the EEG and ECG data of 51 married couples while they watched a set of preselected movies and examined the association between their physiological measurements and marital satisfaction. Performing regression analyses, we confirmed that the brain and cardiac responses to the movies have significant predictive utility for marital satisfaction. When we used these physiological responses to one of the movies in the models, the prediction error for male and female marital satisfaction was reduced by an average of 19.0% and 10.1% in terms of RMSE, respectively, compared to baseline models that used only the questionnaire measurements of psychological characteristics.
Visualization of cylindrical resonances

The analysis of cylindrical resonators is part of standard physics curricula but, unlike for their rectangular counterpart, their mode structure is hardly ever visualized. The aim of this work is to show a way of doing it, providing a set of interactive web applications and citing potential use cases in the form of both academic courses and published research. These cover several branches of physics and engineering, showing that these materials can be useful for a broad audience.
A Rectangular Patch Antenna With Wideband Harmonic Suppression

In this letter, a new design scheme for rectangular patch antenna with harmonic suppression is proposed and analyzed. First, field distributions of the resonant modes on rectangular patch are calculated and used to provide theoretical guidance for arranging feeding strategy. Subsequently, by reasonably placing two pairs of differential exciting signals at the virtual electrical wall of partial high-order modes on the rectangular patch antenna, harmonic suppression can be initially obtained. Moreover, to implement this equal amplitude and out-of-phase signals, a 1-to-4 power divider based on microstrip to slotline transitions is conceived and realized. Finally, a prototype antenna is fabricated and tested to prove the feasibility of the theoretical predictions. Measured results reveal the demonstrator realizes an impedance bandwidth of 8.6% (3.12–3.4 GHz). Most importantly, compared with the traditional filtering antenna, the suppression of harmonics around 3.4f0 (f0 is the center frequency of the antenna) is successfully acquired.
A randomised controlled trial on the dietary intake of Saudi female adolescents living in Arar.

Background Lifestyle changes in Saudi Arabia have affected the dietary intake of adolescents, who now consume more unhealthy foods. Aims We assessed the dietary intake of female Saudi Arabian adolescents living in Arar. Method In this randomised cluster study, female students were selected randomly from assigned schools to form the intervention (n = 68) and control (n = 70) groups. Initially, a 60-minute seminar was held for mothers of students in the intervention group. Subsequently, 6 90-minute sessions were held over 3 months for the intervention group on topics such as food groups, healthy and unhealthy eating, body image and physical activity. The data were analysed using generalized estimating equations. Results The interaction effect (group by time) between the groups revealed statistically significant differences for dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P = 0.022) and fruits and vegetables (P < 0.003). The intervention significantly increased the intake of dairy products (P < 0.001) and fruits and vegetables (P = 0.003). It reduced the intake of sweetened beverages (P < 0.001) and sweetened baked goods (P = 0.010) in the intervention group. Conclusion This intervention showed a grater positive effect on the intervention than the control group; it increased dietary intake of dairy products, fruits and vegetables, and reduced intake of sweetened beverages and sweetened baked goods among the intervention group participants. We recommend similar nutrition interventions among other young Saudi Arabian population groups to prevent obesity and other diseases.
Multitask Attention-Based Neural Network for Intraoperative Hypotension Prediction

Timely detection and response to Intraoperative Hypotension (IOH) during surgery is crucial to avoid severe postoperative complications. Although several methods have been proposed to predict IOH using machine learning, their performance still has space for improvement. In this paper, we propose a ResNet-BiLSTM model based on multitask training and attention mechanism for IOH prediction. We trained and tested our proposed model using bio-signal waveforms obtained from patient monitoring of non-cardiac surgery. We selected three models (WaveNet, CNN, and TCN) that process time-series data for comparison. The experimental results demonstrate that our proposed model has optimal MSE (43.83) and accuracy (0.9224) compared to other models, including WaveNet (51.52, 0.9087), CNN (318.52, 0.5861), and TCN (62.31, 0.9045), which suggests that our proposed model has better regression and classification performance. We conducted ablation experiments on the multitask and attention mechanisms, and the experimental results demonstrated that the multitask and attention mechanisms improved MSE and accuracy. The results demonstrate the effectiveness and superiority of our proposed model in predicting IOH.
Diagnosis Kerusakan Roda Gigi dengan Metode Ensemble Emperical Mode Decomposition (EEMD)

Perawatan mesin merupakan suatu kombinasi dari berbagai tindakan yang dilakukan untuk menjaga performa mesin atau memperbaikinya sampai pada suatu kondisi yang bisa diterima. Dalam dunia industri, pemeliharaan memberikan pengaruh yang sangat besar bagi kondisi mesin dan jumlah produksi. Penggunaan mesin dalam jangka waktu lama tentunya akan membutuhkan perawatan, salah satu metode perawatan adalah perawatan prediktif. Roda gigi adalah komponen yang sangat penting pada mesin, oleh karenanya roda gigi juga perlu diperhatikan kondisinya untuk menghindari kerusakan pada saat pengoperasian mesin. Macam-macam kerusakan pada roda gigi yang sering terjadi diantaranya adalah keausan, retak, dan patah roda gigi. Untuk mengetahui keausan pada roda gigi, diperlukan adanya indikator yang dapat menunjukan keausan roda gigi. Penelitian ini bertujuan untuk mendiagnosa kondisi roda gigi dengan menggunakan metode ensemble empirical mode decomposition (EEMD). Artikel ini juga membahas tentang beberapa fitur ekstraksi yang digunakan seperti: spectrogram, RMS, kurtosis, dan crest factor sebagai pembanding. Hasil penelitian menunjukan perbedaan kondisi roda gigi pada keadaan normal, aus dan patah poros dapat dideteksi dengan menggunakan metode EEMD dengan melihat kemunculan peak. Pada fitur spectrogram terlihat jelas warna merah gelap yang menunjukan terdapatnya getaran yang tinggi pada frekuensi tertentu yang mengindikasi terjadinya getaran pada frekuensi tersebut.
Efficacy and safety of transarterial chemoembolization plus lenvatinib in the treatment of advanced hepatocellular carcinoma: A meta-analysis

Background: The benefits of transarterial chemoembolization (TACE) plus lenvatinib in advanced hepatocellular carcinoma (HCC) remain controversial. Therefore, we performed a meta-analysis to evaluate the efficacy and safety of TACE plus lenvatinib in the treatment of advanced HCC. Methods: Up to February 26, 2023, the databases of PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, China National Knowledge Infrastructure, and Wanfang were searched, and clinical studies of TACE plus lenvatinib (experimental group) versus TACE or lenvatinib (control group) in the treatment of advanced HCC were included. Two researchers independently screened the literature, extracted data, and evaluated the quality of the included literature. Revman5.4 software was used for meta-analysis. Results: A total of 1855 patients were included in 18 studies. The results of the meta-analysis showed that TACE plus lenvatinib could increase the objective response rate (ORR) (odds ratio [OR] = 3.25, 95% confidence interval [CI]: 2.46–4.31; OR = 3.55, 95%CI: 2.53–4.97) and disease control rate (DCR) (OR = 3.27, 95%CI: 2.44–4.38; OR = 3.45, 95%CI: 2.28–5.24), 12-month (OR = 3.43, 95%CI: 2.08–5.65; OR = 2.78, 95%CI: 1.90–4.05) and 18-month (OR = 2.97, 95%CI: 1.77–5.00; OR = 2.62, 95%CI: 1.54–4.47) progression-free survival (PFS) rate, 12-month (OR = 2.34, 95%CI: 1.53–3.58; OR = 3.64, 95%CI: 2.65–5.01) and 18-month (OR = 2.27, 95%CI: 1.48–3.48; OR = 3.23, 95%CI: 2.33–4.48) overall survival (OS) rate compared with TACE or lenvatinib alone. In addition, the experimental group could significantly reduce the expression levels of serum alpha-fetoprotein (AFP) (standard mean difference [SMD] = 1.22, 95%CI: 0.67–1.78) and vascular endothelial growth factor (VEGF) (SMD = 1.27, 95%CI: 0.87–1.67). In terms of adverse events of drugs, the incidence of grade ≥ 3 hypertension and elevated aspartate aminotransferase and alanine aminotransferase in the experimental group was higher than that in the control group (P < .05). Conclusion: Compared with TACE or lenvatinib alone, TACE plus lenvatinib has achieved remarkable efficacy in patients with advanced HCC, and the efficacy versus risk need to be carefully balanced in clinical application.
European Corn Borer (Ostrinia nubilalis Hbn.) Bioecology in Eastern Romania

Simple Summary The European corn borer, Ostrinia nubilalis Hbn. , is an annual pest of the Romanian corn crop. The research followed the development of the European corn borer in the context of the climate warming recorded in recent years in Eastern Romania. We monitored the development of the egg, larva, pupa, and moth stages using cage studies and observations in an experimental cornfield. We also analyzed the impact of climatic conditions on developmental time. Our data show that the increase in winter temperatures ensures the survival of a higher percentage of mature larvae, which leads to intense moth flight at the end of June and the beginning of July. However, the high summer temperatures caused an increasing percentage of the larvae to transform into pupae, which led to the recording of a secondary flight in August. Although the insect is known to have one generation per year, it is apparent that a multivoltine ecotype is also present. We conclude that the climate warming we are witnessing affects the species’ development and that higher larval infestations could occur. Abstract Between 2020 and 2021, we conducted research in eastern Romania to monitor the bioecology of the European corn borer (Ostrinia nubilalis Hbn.), an important pest of corn. The bioecology research established the pest stage duration (egg, larva, pupa, and moth), the flight curve, and the flight peak. The bioecological study occurred in the experimental corn field and a field cage. According to our findings, the insect has one generation per year. The European corn borer hibernates as a mature larva in corn residues and continues developing in the spring, when the weather warms. It pupates from May to July over 37 days. Analyzing the data recorded during the winters of 2020 and 2021, we observed that the warming trend favored the high survival of hibernating larvae (60.7%). Due to the large number of mature larvae that had favorable conditions during the winter, there is an intense flight, starting in June and ending in September. When the first moth was caught in the light trap, the ∑(tn-10) °C (sum of degree days) was 245.6 °C. In 2020, the flight was recorded for 94 days. In 2021, the European corn borer flight lasted 104 days. The initial egg masses were detected when the total of ∑(tn-10) °C reached 351.5 °C. Moths laid the eggs for 25 days, mostly during peak flight in late June and early July. The first larvae hatched when ∑(tn-10) °C totaled 438.4 °C, and stages III–V were recorded in the harvested crop. Understanding the bioecology of the European corn borer can offer valuable insights into managing population levels and identifying optimal timing for addressing infestations in corn crops.
Characterizing the structural and physicochemical properties of medicinal plants as a proposal for treating of viral malady

Regarding coronavirus disease (COVID-19) pandemic, this research article wants to study some herbals as the probable therapy for this disease. Cinnamon leaves, curcuma longa (turmeric), ginger, mentha pulegium (pennyroyal), rosemary, salvia divinorum and thyme including some principal chemical compounds of cynnamil, curcumin, gingerol, pulegone, rosmarinic acid, salvinorina A and thymol, respectively, as a probable anti COVID-19 receptor have been selected. The possible roles of these medicinal plants in COVID-19 treatment have been carried out through quantum sensing methods. Formation of hydrogen bonding between principal substances selected in COVID-19 natural drugs bound to Tyrosine-Methionine-Histidine (Tyr-Met-His) or (TMH) (the database amino acids fragment) as the active area of the COVID-19 protein has been evaluated. In fact, it has been exhibited the role of oxygen, nitrogen, and hydrogen atoms in the active sites of these anti-virus medications towards hydrogen bonding in the active site if “TMH” protein. The physical and chemical attributes of nuclear magnetic resonance, vibrational frequency, the highest occupied molecular orbital energy and the lowest unoccupied molecular orbital energy, partial charges and spin density and have been accomplished using density functional theory (DFT) method and 6-311+G (2d,p) basis set by Gaussian 16 revision C.01 program toward the industry of drug design. This research has exhibited that there is a relative agreement among the results that these medicinal plants could be efficient against COVID-19 symptoms.
A Comparative Study on R Packages for Text Mining

The term Text Mining, which is given to the set of techniques used for the extraction, cleaning and processing of the information in texts, has become useful to provide valuable information to other algorithms and widely used with statistical and machine learning methods. By enabling the extraction of useful insights from textual data, Text Mining has become a potent tool in decision-making and knowledge discovery across many areas, including health care, government, education and industry. R is a mature open-source programming environment that has overstepped its initial scope of application for statistical computing and graphics to be used in pretty all the Data Science knowledge Area Groups. The objective of this paper is to present review and benchmarking analysis of packages for text mining techniques with R in computational systems. The paper reviews thirteen different packages comparing them on their execution time and memory used, for which new tests have been specifically designed. The results of this approach have been intended to be used over the most common tasks carried out when analyzing texts, and comparisons included allow R users to know which packages are best for each task and to improve their performance. Text mining package (tm) stands out particularly in Tokenization and Stemming techniques, while fastTextR is the best choice for Topic Modeling and Normalization. Also in the case of the Term Frequency-Inverse Document Frequency (TF-IDF) technique, the textir package is a clear choice. The other packages will depend on whether the technique is applied to a document-term matrix (DTM) or to plain text. In addition, there are packages that perform better in runtime than in memory usage and vice versa, making the choice more difficult. Packages such as udpipe can achieve better results working in parallel. Future works will include the same analysis for parallel computing, hybrid approaches, and novel algorithms.
Innovative CO2 Injection Strategies in Carbonates and Advanced Modeling for Numerical Investigation

Carbon sequestration in deep saline aquifers was recently developed at the industrial scale. CO2 injection experiences in carbonates are quite limited, most of them coming from projects carried out in porous mediums in the USA and Canada. Hontomín (Spain) is the actual on-shore injection pilot in Europe, being a naturally fractured carbonate reservoir where innovative CO2 injection strategies are being performed within the ENOS Project. CO2 migration through the fracture network existing on site produces hydrodynamic, mechanical and geochemical effectsdifferent from those caused by the injection in mediums with a high matrix permeability. The interpretation of these effects is required to design safe and efficient injection strategies in these formations. For this, it is necessary to determine the evolution of pressure, temperature and flow rate during the injection, as well as the period of pressure recovery during the fall-off phase. The first results from the not-continuous injections (8–24 h) conducted at Hontomín reveal the injection of liquid CO2 (density value of 0.828 t/m3) and the fluid transmissivity through the fractures. Taking into account the evolution of the pressure and flow rate showed variations of up to 23% and 30% respectively, which means that the relevant changes of injectivity took place. The results were modeled with a compositional dual media model which accounts for both temperature effects and multiphase flow hysteresis because alternative brine and CO2 injections were conducted. Advanced modeling shows the lateral extension of CO2 and the temperature disturbance away from the well.
Evaluation of Different Activity of Lactobacillus spp. against Two Proteus mirabilis Isolated Clinical Strains in Different Anatomical Sites In Vitro: An Explorative Study to Improve the Therapeutic Approach

Urinary tract infections (UTIs) and catheter-associated UTIs (CAUTIs) are the principal hospital-acquired infections. Between these, bacterial prostatitis is believed to be the leading cause of recurrent UTIs in men under 50 years of age and is often unresponsive to antibiotic treatment. Proteus mirabilis is more commonly associated with UTIs in these abnormalities, especially in patients undergoing catheterization. Lactobacillus spp. are an important component of the human microbiota and occur in large quantities in foods. Probiotics are proposed as an alternative to antibiotic therapy in the treatment of urinary tract infections. In addition to their ability to produce antimicrobial metabolites, they have immunomodulatory activity and do not cause side effects. For this reason, the combination of probiotic microorganisms and conventional drugs was considered. The aim of this work was to select the most active Lactobacillus strains against two clinical isolates of P. mirabilis on bladder and prostatic epithelium, potentially exploitable to improve the clinical management of UTIs.
Interplay of Depression, Smoking Intention, and Smoking Behavior in Chinese Dai Adolescents

Abstract Tobacco smoking and depression are important contributors to the burden of disease in China, and their onset typically occurs in adolescence. However, there is no consensus on the nature and underlying mechanisms of their interplay, and related studies on Chinese adolescents and ethnic minorities are limited. This study tested the mediation role of depression in the link between smoking intention and behavior in relation to sex. A secondary analysis was conducted on data from a survey of 1,322 Chinese Dai middle school students aged 15–19 years (M = 17.02 years; 773 female students and 542 male students) in Xishuangbanna, China. We found that the mediation role of depression between smoking intention and smoking behavior was nonsignificant, although smoking intention and depression both had significant associations with smoking behavior. Therefore, depression might be better theorized as an underlying predictor of smoking intention or that other volitional factors may link smoking intention and smoking behavior more closely. Nevertheless, depression was a significant independent variable for smoking behavior even when smoking intention was adjusted. Women perceived more depression than men with similar smoking intention levels, yet the relationship between smoking intention and smoking behavior was stronger in men. Although it seems that men were abler to translate their smoking intention into actual smoking, the high level of depression among young women who reported higher levels of smoking intention is noteworthy. Tobacco control for Chinese adolescents could incorporate sex-specific psychological therapies for negative emotions and for the internalization of problems by children.
Advancing 5G Connectivity: A Comprehensive Review of MIMO Antennas for 5G Applications

The review focuses on the emergence of 5G wireless communication and the need for multiple-input multiple-output antennas to support high-speed communication systems. The article discusses the advantages of MIMO antennas, including increased channel capacity and the ability to focus radio frequency energy on specific users. However, the challenges of creating compact MIMO antennas with ideal isolation are addressed, including short wavelengths, connection losses, constrained bandwidth, and path losses in the millimeter-wave range. Design techniques and methods to enhance the performance of conventional antennas for 5G applications are discussed, along with potential solutions for upcoming challenges. The article provides an overview of MIMO antennas for 5G applications, covering frequency bands, system architecture, advantages, challenges, advancements, performance enhancement techniques, design techniques, and state-of-the-art developments.
Fibres and Colorectal Cancer: Clinical and Molecular Evidence

Colorectal cancer (CRC) is one of the leading causes of mortality for cancer in industrialized countries. The link between diet and CRC is well-known, and presumably CRC is the type of cancer which is most influenced by dietary habits. In Western countries, an inadequate dietary intake of fibers is endemic, and this could be a driving factor in the increase of CRC incidence. Indeed, several epidemiologic studies have elucidated an inverse relationship between daily fiber intake and risk of CRC. Long-term prognosis in CRC survivors is also dependent on dietary fibers. Several pathogenetic mechanisms may be hypothesized. Fibers may interfere with the metabolism of bile acids, which may promote colon carcinogenesis. Further, fibers are often contained in vegetables which, in turn, contain large amounts of antioxidant agents like resveratrol, polyphenols, or phytoestrogens. Moreover, fibers can be digested by commensal flora, thus producing compounds such as butyrate, which exerts an antiproliferative effect. Finally, fibers may modulate gut microbiota, whose composition has shown to be associated with CRC onset. In this regard, dietary interventions based on high-fiber-containing diets are ongoing to prevent CRC development, especially in patients with high potential for this type of tumor. Despite the fact that outcomes are preliminary, encouraging results have been observed.