Miracle-dz/UniFAR-FTUs huggingface dataset:
Two Years and Four Time Points: Description of Emotional State and Coping Strategies of French University Students during the COVID-19 Pandemic

While it is now clear that the COVID-19 pandemic has had a major impact on the mental health of individuals, especially the most vulnerable ones such as students, we have very little knowledge about the long-term consequences. The objective of this study was to compare the mental health and coping of French university students during the different phases of the pandemic in the first 2 years. To this end, French university students were evaluated at four time points: during France’s first lockdown (April–May 2020; nT1 = 1357), the period after lockdown (June 2020; nT2 = 309), 1 year after the first lockdown, which was also a lockdown period (April–May 2021; n T1′ = 2569); and 1 year after the end of the first unlock (June 2021; nT2′ = 1136). Anxiety and depressive symptoms, coping and concerns were measured. In order to compare scores between the lockdown and unlock periods within the same year, paired samples t-tests were performed. To compare scores between the 2 years for different participants, independent samples t-tests were conducted. Our results showed that maladaptive strategies, concerns and symptoms were higher during lockdown periods, compared with unlock periods. In addition, symptom levels were higher in the second year of the pandemic compared with the first one. These argue that the psychological effects of COVID-19 were exacerbated by lockdowns but also by time. This highlights the need for more attention to be paid to students’ mental health.
An Evidence-Based Practice Handbook for the Reduction of Perioperative Pressure Injuries: An Implementation Guide

The Association of Perioperative Nurses (AORN) Prevention of Perioperative Pressure Injury Tool Kit is a comprehensive set of evidence-based practices that can reduce the development of pressure injuries (PI) (AORN, 2022). A bundled set of prevention strategies is positively associated with reducing the development of injury or ulceration and improved patient outcomes. To effectively implement this Prevention of Perioperative Pressure Injury Tool Kit, there are evidenced strategic practices to support change readiness, including engaging stakeholders around the reasons for the change, gaining leadership support, assembling an interprofessional implementation team, providing compelling information that highlights the need for the change, and identifying necessary resources. The implementation plan outlined in this guide systematically explains how organizations can prepare, implement, and evaluate the use of the AORN Prevention of Perioperative Pressure Injury Tool Kit and the key considerations that should be explored with implementing a practice.
A FLOWER SHAPED MINIATURIZED 4×4 MIMO ANTENNA FOR UWB APPLICATIONS USING CHARACTERISTIC MODE ANALYSIS

|A novel design of a 4 (cid:2) 4 miniaturized UWB-MIMO (multiple-input, multiple-output) antenna with isolation improvement is proposed in this paper. The designing procedure of a (cid:13)ower-shaped MIMO antenna is done using characteristic mode analysis (CMA). The (cid:13)ower-shaped UWB-MIMO antenna is made up of four symmetrical (cid:13)ower-shaped radiating elements that are isolated using an orthogonal method. The (cid:13)ower antenna’s dimensions are 40 (cid:2) 40 (cid:2) 1 : 6 mm 3 (0 : 44 (cid:21) 0 (cid:2) 0 : 44 (cid:21) 0 (cid:2) 0 : 017 (cid:21) 0 ). A (cid:13)ower-shaped radiator is used to get good the isolation in MIMO elements. Further isolation is enhanced by inserting a swastik-shaped stub on the ground to get return losses of S 11 < (cid:0) 10 dB and isolation of S 12 < (cid:0) 18 dB. The designed antenna covers the entire UWB (3.1 GHz{14 GHz) spectrum for impedance matching, including (10.7 GHz to 11.7 GHz), 11 GHz (10.7 GHz to 11.7 GHz), and 13 GHz (10.7 GHz to 11.7 GHz) (12.75 to 13.25 GHz). Good diversity performance is achieved in the UWB and ITU range. The designed antenna has a gain of 5.5 dB, an eﬃciency of 89%, an impedance bandwidth of 123.61%, an envelope correlation coeﬃcient of 0.012, a diversity gain of nearer to 10 dB, a capacity channel loss of 0.29 bp/s/Hz, and a mean eﬀective gain of less than (cid:0) 3 : 1 dB. The designed antenna is fabricated and tested. These simulated results are validated in state-of-the-art laboratories. According to the simulation and measurement results, this antenna is well suited for reliable wireless communication systems. The potentiality of the designed antenna is high, and the antenna is compact and portable.
Synergistic impacts of westerlies and monsoon on interdecadal variations of late spring precipitation over the southeastern extension of the Tibetan Plateau

Based on multiple long‐term observational and reanalysis datasets, this study investigated the characteristics and physical mechanisms of the interdecadal variations in late spring (i.e., May) precipitation (LSP) over the southeastern extension of the Tibetan Plateau (SETP) since 1900. It was revealed that by and large, LSP over the SETP experienced interdecadal decrease during the period preceding 1927, 1962–1988, and 2004 onwards, but saw an increase during the periods of 1928–1961 and 1989–2003. The atmospheric circulations responsible for interdecadal variations in LSP over the SETP were also analysed. These analyses identified significant synergistic impacts of decreased mid‐latitude upstream westerlies and increased low‐latitude monsoonal southerlies over the Central North Bay of Bengal (CNBOB) on interdecadal variations in precipitation, suggesting striking interactions between extratropical eastward cold air and tropical northward warm/humid air. Further observational and modelling evidence suggested that Atlantic Multidecadal Oscillation (AMO) was likely to be a salient oceanic driver for the interdecadal synergy between upstream westerlies and CNBOB monsoonal southerlies. The elevated sea surface temperature anomalies associated with the warm phase of the AMO could spark favourable local atmospheric anomalies, forcing an upper‐tropospheric, planetary‐scale teleconnection emanating from the east of the North Atlantic sector, which may serve as an effective bridge linking the remote AMO signal and the synergy between westerlies and monsoonal southerlies around the SETP on interdecadal timescales. Our findings provided new insights into the understanding of the synergistic roles of westerlies and monsoons in the modulation of interdecadal LSP over the SETP, prior to the peak Asian summer monsoon season.
Using Overlapped Resonators in Wireless Power Transfer for Uniform Electromagnetic Field and Removing Blank Spots in Free Moving Applications

We propose an induction link based on overlapping arrays to eliminate blank spots on the electromagnetic field for moving object applications. We use two arrays of four aligned coils that have a 50% overlap between the two plates. This mechanism compensates for the internal coil power drop at positions in the boundaries between two adjacent external coils. We showed that if these plates are excited, a uniform electromagnetic field is created in the movement direction of the moving object. This uniform electromagnetic field distribution will result in a constant receiving power at all points in the path of the moving internal coil with the same power consumption of one coil excitation. Power delivery to the moving object tolerance reaches 10% at most, while, in non-overlapped scenarios, it is approximately 50%. In addition, according to the theoretical calculations, printed circuit coils (PCB) for the array are designed for maximum efficiency. We found that the change in distance and dimensions of the receiver coil has a linear effect on power and efficiency. Moreover, a Specific Absorption Rate (SAR) simulation was performed for biocompatibility. In this paper, we investigate and record a 68% electrical power efficiency for the fabricated system. The array consists of eight transmitters coils of the same size and shape and a receiver coil at a distance of 4 cm. Furthermore, the fabricated coil has shown improved efficiency compared to similar studies in the literature and introduces a promising structure for bio-test applications.
A Novel Public Opinion Polarization Model Based on BA Network

At present, the polarization of online public opinion is becoming more frequent, and individuals actively participate in attitude interactions more and more frequently. Thus, online views have become the dominant force in current public opinion. However, the rapid fermentation of polarized public opinion makes it very easy for actual topic views to go to extremes. Significantly, negative information seriously affects the healthy development of the social opinion ecology. Therefore, it is beneficial to maintain national credibility, social peace, and stability by exploring the communication structure of online public opinions, analyzing the logical model of extreme public attitudes, and guiding the communication of public opinions in a timely and reasonable manner. Starting from the J–A model and BA network, this paper explores the specific attributes of individuals and opinion network nodes. By incorporating parameters such as individual conformity and the strength of individual online relationships, we established a model of online group attitude polarization, then conducted simulation experiments on the phenomenon of online opinion polarization. Through simulations, we found that individual conformity and the difference in environmental attitude greatly influence the direction of opinion polarization events. In addition, crowd mentality makes individuals spontaneously choose the side of a particular, extreme view, which makes it easier for polarization to form and reach its peak.
Benefits of Inactivated Vaccine and Viral Vector Vaccine Immunization on COVID-19 Infection in Kidney Transplant Recipients

The coronavirus virus disease 2019 (COVID-19) pandemic has impacted the global healthcare system. In Thailand, the first and most available vaccines were inactivated and viral vector vaccines. We reported the impact of those vaccines in preventing severe disease and death in kidney transplant recipients. This retrospective study comprised 45 kidney transplant recipients with COVID-19 infection, classified by vaccination status. Outcomes of interest were death, pneumonia, and allograft dysfunction. There were 23 patients in vaccinated group and 22 patients in unvaccinated group. All baseline characteristics were similar except mean age was older in vaccinated group, 55 vs. 48 years. Total 11 patients (24%) died (13% vaccinated vs. 36% unvaccinated RR, 0.56; 95% CI, 0.29–0.83; p = 0.03). Multivariate analysis showed that vaccination significantly decrease mortality (odds ratio, 0.54; 95% CI, 0.10–0.94; p = 0.03). Pneumonia developed equally in both groups (70%). There was a trend toward less oxygen requirement as well as ventilator requirement in vaccinated group. The rate of allograft dysfunction was similar (47%). Inactivated and viral vector COVID-19 vaccines have beneficial effect on mortality reduction in kidney transplant recipients. Even partial vaccination can exert some protection against death. However, full vaccination should be encouraged to achieve better prevention.
Phytochemical Analysis, Antioxidant Potential, and Cytotoxicity Evaluation of Traditionally Used Artemisia absinthium L. (Wormwood) Growing in the Central Region of Saudi Arabia

Artemisia absinthium, a plant distributed worldwide, has been reported for its numerous traditional uses, and its phytoconstituents have been investigated in several previous publications. The current study was designed to investigate the chemistry and quality; i.e., the antioxidant and cytotoxic activities, of A. absinthium volatile oil from plant species growing in the central area of Saudi Arabia compared to reported data for the plant growing in other parts of the world. Gas chromatography–mass spectrometry (GC-MS) and gas chromatography with flame ionization detector (GC-FID) spectroscopic analyses, in addition to in vitro antioxidant and cytotoxic assays, were conducted to fulfill the aims, and integrated the study’s conclusion. A total of 34 compounds representing 99.98% of the essential oil of the plant were identified; among them, cis-davanone was found at the highest concentration (52.51%) compared to the other constituents. In addition, α-gurjunene (7.15%), chamazulene (3.38%), camphene (3.27), γ-eudesmol (2.49%), pinocarvone (2.18%), and ocimenone (2.03%) were also identified as major constituents of the plant’s essential oil. The total percentage of davanones (53%) was the highest percentage found in the plant species growing elsewhere in the world. The antioxidant assays; i.e., the total antioxidant capacity (TAC), ferric-reducing antioxidant power (FRAP), and 2,2-diphenyl-1-picrylhydrazyl-scavenging activity (DPPH-SA), evidenced the potential in vitro antioxidant activity of the A. absinthium essential oil, with 35.59, 10.54, and 24.00 mg Trolox equivalent per gram of the essential oil. In addition, the metal-cheating activity (MCA) of the essential oil was measured at 29.87 mg ethylenediaminetetraacetic acid (EDTA) equivalent per gram of the essential oil. Moreover, a limited cytotoxic effect of the essential oil against all tested cell lines was observed, which might be considered as an indicator of the safety of A. absinthium as a worldwide edible plant. In conclusion, the study confirmed the variations in the A. absinthium essential oil constituents in response to the environmental conditions. The study also highlighted the potential health benefits of the plant’s essential oil as an antioxidant agent.
Effect of Various Overlap Distance in Waist Enlarged Tapers in Mach Zehnder Interferometer Fiber Optic Sensor for Liquid Temperature Monitoring

A fiber optic sensor (FOS) based on the Mach-Zehnder interferometer (MZI) suitable for monitoring the liquid temperature is proposed and demonstrated. The sensor head was formed by a single mode–multimode–single mode (SMS) fiber structure through arc fusion splicing. The intermodal interference is achieved by two waist- enlarged tapers (WET) at the coupling points of the multimode fiber (MMF) and single mode fibers (SMF). The sensitivity of the sensor was determined based on the overlap distance for waist enlargement, tested in different temperatures of liquid. Five different overlap distances set in the conventional fiber splicer were 30 µm, 60 µm, 90 µm, 120 µm and 150 µm. The highest sensitivity of 0.0984 nm/ ℃ was produced by the SMS sensor with overlap distance of 150 µm. Such easily fabricated, cost-effective and temperature-immune fiber interferometer could be used for high temperature sensing applications. Manipulation of the overlap distance contributes to the advancement of the device. cieczy
Physical and Chemical Characterization of Water Containing Choline Chloride-based Solvents with Lactic Acid and Dihydric Alcohol

This work focused on the preparation, physical and chemical characterization of water containing choline chloride-based solvents with lactic acid and 1,3-propanediol, 1,3-butanediol 1,4-butanediol, and 1,5-pentanediol, with different molar ratios. Of the physical and chemical properties, we determined density, viscosity, conductivity, and acidity. The results showed that the properties of the resulting solvent could be adjusted by the appropriate selection of another component. It has been shown that the addition of dihydric alcohol can lead to a significant reduction in viscosity and a slight decrease in density, which significantly affects the possibilities of solvent application.
Formation and Microbial Composition of Biofilms in Drip Irrigation System under Three Reclaimed Water Conditions

As the second source of water for cities, reclaimed water (RW) has become an effective solution to the problem of water scarcity in modern agriculture. However, the formation of biofilm in an RW distribution system seriously affects the performance of the system and has become a technical challenge in RW utilization. In this study, we first showed that several water quality parameters, including five-day biochemical oxygen demand (BOD5), total bacteria count (TB), total nitrogen (TN), and Cl− were the main factors affecting biofilm accumulation in the drip irrigation system (DIS), with the correlation coefficient averaging above 0.85. Second, after 392 to 490 h of system operation, the total biomass and extracellular polymer (EPS) accumulation rate of biofilms increased to a maximum of 0.72 g/m2·h and 0.027g/m2·h, respectively, making this time point a critical point for controlling biofilm accumulation and clogging of the system. Third, we examined changes in biofilm microbial composition over time on Illumina’s MiSeq platform. High throughput sequencing data showed that bacterial community structure and microbial network interaction and modularity changed significantly between 392 and 490 h, resulting in maximum microbial diversity and community richness at 490 h. Spearman correlation analyses between genera revealed that Sphingomonas and Rhodococcus promote biofilm formation due to their hydrophobicity, while Bacillus, Mariniradius, and Arthronema may inhibit biofilm formation due to their antagonistic effects on other genera. In conclusion, this work has clarified the accumulation process and compositional changes of biofilms in agriculture DIS under different RW conditions, which provides a basis for improving RW utilization efficiency and reducing system maintenance costs.
The Advantages of Using Kaolin-Based Particle Films to Improve Coffee Production in the Minas Gerais Cerrado Biome

Climate change, such as increases in atmospheric air temperature, threatens Brazilian coffee production, which is mainly carried out on small rural properties in a family farming model. Increases in air temperature causes heat stress to the plants, resulting in physiological damage. This work studied the application of processed kaolinite-based particle films (PKPF) as part of environmentally sustainable agricultural practices. This innovative technology aims to increase the productivity of coffee grown in full sunlight and evaluate the interest of coffee growers in incorporating this input in the management of crops as an alternative to the traditional model of increasing production through the expansion of cultivated areas. This is a review of the state of the art of the use of PKPF in coffee, and a descriptive and exploratory research, supported by a literature review and field data collected, through a structured questionnaire applied to a group of coffee producers from the Cerrado in Minas Gerais. The concept of environmentally sustainable coffee production is latent among coffee growers, who adopt practical actions to respect and preserve the environment during the production process. Increases in productivity are related to the adoption of technological innovations such as the use of PKPF in the management of plantations, being a viable alternative to increasing the plantation areas, and thus reducing native vegetation.
Optimal Disease Diagnosis in Internet of Things (IoT) Based Healthcare System Using Energy Efficient Clustering

This paper aims to introduce a novel approach that includes three steps, namely Energy efficient clustering, Disease diagnosis, and an Alert system. Initially, energy-efficient clustering of nodes was conducted, and to render the clustering more optimal, its centroid was optimally selected by a new hybrid algorithm. In addition, this cluster formation was conducted based on constraints such as distance and energy. Further, the disease diagnosis in IoT was performed under two phases namely, “feature extraction and classification. ” During feature extraction, the statistical and higher-order features were extracted. These extracted features were then classified via Optimized Deep Convolutional Neural Network (DCNN). To make the classification more precise, the weights of the DCNN were optimally tuned by a new hybrid algorithm referred to as Hybrid Elephant and Moth Flame with Adaptive Learning (HEM-AL). Finally, an alert system was enabled via proposed severity level estimation, which determined the severity of the disease, suggesting patients to visit the hospital. Lastly, the supremacy of the developed approach was examined via evaluation over the other extant techniques. Accordingly, the proposed model attained an accuracy of 0.99 for test case 1, and was 7.41%, 17.34%, and 13.41% better than traditional NN, CNN, and DCNN models.
Disease Detection in Apple Leaves Using Image Processing Techniques

The agricultural sector in Saudi Arabia constitutes an essential pillar of the national economy and food security. Crop diseases are a major problem of the agricultural sector and greatly affect the development of the economies in various countries around the world. This study employed three prediction models, namely CNN, SVM, and KNN, with different image processing methods to detect and classify apple plant leaves as healthy or diseased. These models were evaluated using the Kaggle New Plant Diseases database. This study aims to help farmers detect and prevent diseases from spreading. The proposed method provides recommendations for the appropriate solutions for each type of recognized plant disease based on the classification results.
Conjugation of Curcumin and Metformin for Improved Pharmacological Profile in Cancer Therapy: An In Silico Approach

Curcumin has been shown to possess high cytotoxicity towards various cell lines. But its low aqueous solubility and bioavailability limit its use as an effective cytotoxic agent. It has been reported that metformin selectively kills cancer stem cells and blocks tumor growth. Preclinical studies show the effectiveness of both curcumin and metformin in breast cancer. Conjugation of metformin and curcumin may result in synergistic cancer therapy by improving the aqueous solubility of curcumin and hence its bioavailability. In the present study, curcumin-metformin conjugate and the free drugs curcumin and metformin were subjected to docking analysis against the breast cancer targets such as epidermal growth factor receptor, kinesin spindle protein, cyclin-dependent kinase, human placental aromatase, and human estrogen receptor. Docking studies were performed using Autodock Vina. The results signify that curcumin-metformin conjugate showed higher binding energy ranging between -7.4 to -9.7 Kcal/mol than curcumin and metformin. The stability of the conjugate-receptor complex and interactions between them was further evaluated by molecular dynamics simulation. The results showed that the conjugate can interact effectively with human placental aromatase and can be considered for further studies.
Effectiveness of simulation data on walking in Wi-Fi fingerprints using RNN

: This study focuses on Wi-Fi fingerprint localization using RNN. Walking survey is a method used for collecting fingerprint datasets. This method can collect continuous walking data while the measurer is walking. However, multiple walking patterns must be measured to accommodate users with different walking speeds and routes. We propose a method for generating simulation data with different walking patterns. The simulation data were created using the coordinate adjacency of the measurement data. Further, we evaluated the model trained with and without the simulation data. Results demonstrate that the accuracy of the proposed method shows its effectiveness.