Miracle-dz/UniFAR-FTUs huggingface dataset:
Excito-repellency of Myristica fragrans Houtt. and Curcuma longa L. extracts from Southern Thailand against Aedes aegypti (L.)

The development of local plant extracts as a mosquito repellent is environmentally safe, inexpensive, and easily accessible for residents. In this study, three extracts from two local plants, Myristica fragrans Houtt. (flesh and mace) and Curcuma longa L. (rhizome) from southern Thailand, were investigated for their inherent repellent activity using the excito-repellency (ER) assay system against insectary-colonized Aedes aegypti (L.) (Diptera: Culicidae). The escape responses of mosquitoes exposed to concentrations of 0.5% to 5.0% (w/v) were measured to determine the contact irritant and non-contact repellent properties of each extract. Both the flesh and mace extracts of M. fragrans had relatively limited contact irritants (28.1% and 34.6% escape) and non-contact repellent (16.7% and 18.3% escape) activities against Ae. aegypti, respectively. The C. longa rhizome extract produced higher escape responses in the non-contact (42.6% escape) and contact (41.4% escape) trials at concentrations of 5.0% and 1.0%, respectively. GC-MS analysis found diethyl malate (56.5%) and elemicin (11.7%) to be the main components of the flesh and mace extracts, respectively, while ar-turmerone (24.6%), β-turmerone (15.2%), α-turmerone (10.5%) were the primary constituents of the rhizome extract. Overall, our results indicate that both M. fragrans extracts primarily caused Ae. aegypti escape through contact irritation. For C. longa, lower concentrations (0.5% and 1.0%) exhibited contact irritancy, but higher concentrations (2.5% and 5.0%) exhibited non-contact repellency against Ae. aegypti. Although they had limited efficacy, further experiments (e.g., mixing with other plant-based compounds) could enhance the ER of both local plant extracts. Additional evaluation of these extracts against other mosquito species and the ER of their chemical components, either alone or in combination, would also be beneficial for the development of green repellents. Our findings emphasize the possibility of utilizing plant-based mosquito repellent as an alternative personal protection method for future mosquito control programs.
Age-Specific Changes in Virulence Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants of Concern

Abstract Background Novel variants of concern (VOCs) have been associated with both increased infectivity and virulence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virulence of SARS-CoV-2 is closely linked to age. Whether relative increases in virulence of novel VOCs are similar across the age spectrum or are limited to some age groups is unknown. Methods We created a retrospective cohort of people in Ontario, Canada, who tested positive for SARS-CoV-2 and were screened for VOCs (n = 259 984) between 7 February 2021 and 31 October 2021. Cases were classified as N501Y-positive VOC, probable Delta VOC, or VOC undetected. We constructed age-specific logistic regression models to evaluate associations between N501Y-postive or Delta VOC infections and infection severity using hospitalization, intensive care unit (ICU) admission, and death as outcome variables. Models were adjusted for sex, comorbidity, vaccination status, and temporal trends. Results Infection with either N501Y-positive or Delta VOCs was associated with significant elevations in risk of hospitalization, ICU admission, and death across age groups compared with infections where a VOC was not detected. The Delta VOC increased hospitalization risk in children aged <10 years by a factor of 2.5 (adjusted odds ratio; 95% confidence interval, 1.3 to 5.0) compared with non-VOCs. There was a significant inverse relationship between age and relative increase in risk of death with the Delta VOC, with younger age groups showing a greater relative increase in risk of death than older individuals. Conclusions SARS-CoV-2 VOCs appear to be associated with increased relative virulence of infection in all age groups, though low absolute numbers of outcomes in younger individuals make estimates in these groups imprecise.
Predictive Model of the Psychological Well-Being of Nursing Students During the COVID-19 Lockdown

Introduction Lockdowns due to the COVID-19 pandemic radically changed nursing education. Along with social isolation, the transition to distance education affected the well-being of students in several countries, particularly Portugal and Spain. Objectives To identify which variables are predictors of psychological well-being for Portuguese and Spanish nursing students during mandatory lockdowns. Methods A multicenter, cross-sectional, descriptive, correlational study involving a sample of 1075 students (944 women, mean age 22.46 + /−4.95 years). Data were collected from an online questionnaire which applied the following scales: Perceived Stress Scale (α = .820); Brief COPE-14 Subscales (α = .430 < 0.930); Well-being Manifestations Measure Scale (α = .940); Herth Hope Index (α = .850). A multiple regression model was created to predict the psychological well-being of nursing students. Results The following predictor variables were identified in the model of the psychological well-being of students during the COVID-19 pandemic: perceived stress (β = .405; p ≤ .001); hope (β = .404; p ≤ .001); and the mechanisms of active coping (β = .405; p ≤ .001), planning (β = .097; p ≤ .001), and positive reinterpretation (β = .053; p = .12). These five variables predicted 62.0% of the nursing students’ psychological well-being (R2 = .620; F = 350.82; p ≤ .001). Conclusion Promoting students’ mental health is essential, especially in periods of great adversity, such as a pandemic. Our results lead the way for the design and validation of an intervention program that addresses the five variables identified as predictors of students’ psychological well-being.
Comparison of In-Hospital Mortality and Clinical Outcomes Between Patients Aged More Than and Less Than 80 Years Undergoing Transcatheter Aortic Valve Replacement

Background The transcatheter aortic valve replacement (TAVR) procedure has been increasingly utilized in the management of aortic stenosis among the elderly. In this study, we sought to assess the hospital outcomes and major adverse events (MAEs) associated with TAVR in patients aged ≥80 years compared to those aged <80 years. Methodology We performed a retrospective observational study using the National Inpatient Sample in 2018. We divided TAVR patients into two cohorts based on age, namely, ≥80 years old and <80 years old. The primary outcomes included the comparison of in-hospital mortality and MAEs in the two cohorts. Results We identified 63,630 patients who underwent TAVR from January 1 to December 31, 2018. Among them, 35,115 (55%) were ≥80 years and 28,515 (45%) were <80 years of age. There was a higher rate of post-procedural in-hospital mortality in patients ≥80 years old (1.6% vs. 1.1%, adjusted odds ratio (aOR) = 1.56, [confidence interval (CI) = 1.13-2.16], p = 0.006). They also had higher rates of pacemaker insertion compared to those <80 years old (7.4% vs. 6.5%, aOR = 1.17 [CI = 1-1.35], p = 0.03). On subgroup analysis, the rates of MAEs were not different between the two cohorts (23.8% vs. 23.4%, p = 0.09); however, patients aged ≥80 years who experienced MAEs had higher in-hospital mortality (5.7% vs. 4.3%, aOR = 1.58 [CI = 1.08-2.32], p = 0.01) and shorter length of hospital stay (7.2 vs. 8.7 days, p = 0.03) compared to those aged <80 years. Anemia, liver disease, chronic kidney disease, and previous stroke were associated with higher odds of in-hospital MAEs in both groups. Conclusions The results of our study show that patients older than 80 years of age undergoing TAVR had higher rates of in-hospital mortality and pacemaker insertion compared to those less than 80 years of age. The rates of MAEs were not significantly different between the two groups.
A Computer Vision Approach to Identifying Ticks Related to Lyme Disease

Background: Lyme disease (caused by Borrelia burgdorferi) is an infectious disease transmitted to humans by a bite from infected blacklegged ticks (Ixodes scapularis) in eastern North America. Lyme disease can be prevented if antibiotic prophylaxis is given to a patient within 72 hours of a blacklegged tick bite. Therefore, recognizing a blacklegged tick could facilitate the management of Lyme disease. Methods: In this work, we build an automated detection tool that can differentiate blacklegged ticks from other tick species using advanced computer vision approaches in real-time. Specially, we use convolution neural network models, trained end-to-end, to classify tick species. Also, advanced knowledge transfer techniques are adopted to improve the performance of convolution neural network models. Results: Our best convolution neural network model achieves 92% accuracy on unseen tick species. Conclusion: Our proposed vision-based approach simplifies tick identification and contributes to the emerging work on public health surveillance of ticks and tick-borne diseases. In addition, it can be integrated with the geography of exposure and potentially be leveraged to inform the risk of Lyme disease infection. This is the first report of using deep learning technologies to classify ticks, providing the basis for automation of tick surveillance, and advancing tick-borne disease ecology and risk management.
The COVID Season: U.S. Collegiate Esports Programs’ Material Challenges and Opportunities During the 2020–21 Pandemic

During the COVID-19 pandemic, universities were among the first institutions to shift to an online model. As they did so, nascent collegiate esports program lost access to campus spaces and in-person connections, potentially destabilizing this rising industry. Conversely, universities also worked to provide students remote access to resources, and many components of esports already occur online. Therefore, collegiate esports may have adjusted to distancing measures, potentially strengthening their footholds on US campuses. This paper draws on in-depth interviews with collegiate esports players, student employees, program directors, and administrators to address different programs’ reactions to the pandemic, specifically the challenges and opportunities they faced. Overall, interviews reveal how COVID-19 shifted the understandings of and practices around gaming and esports, highlighted the intermittent relationship of online and offline spheres, and presented various possibilities and challenges for different stakeholders during the global pandemic.
Mental Speed: On Frameworks, Paradigms, and a Platform for the Future.

Although once given scant treatment, the importance attached to “mental speed” in providing improved understanding and measurement of intelligence is growing. The veracity of this statement is evidenced by a number of observations. For instance, several broad factors representing mental speed abilities are currently incorporated within two important, structural models of cognitive abilities: Gf-Gc (see, e.g., Horn & Noll, 1994) and three-stratum (e.g., Carroll, 1993) theory. With respect to the latter of these conceptualizations, Carroll (1993) notes, “If any broad taxonomic classification of cognitive ability factors were to be formulated, in fact, it might be one based on the distinction between level [accuracy-based performance] and speed” (p. 644). Another reflection of the growing import of mental speed is the fact that almost all prominent multiple-aptitude batteries (e.g., the Armed Services Vocational Aptitude Battery [ASVAB], U.S. Department of Defense [DoD], 1984) and intelligence test batteries (e.g., Berlin Intelligence Structure test [BIS], Jager, Sus, & Beauducel, 1997 [see also Chapter 18, this volume]; Wechsler Adult Intelligence Scale–III, Wechsler, 1997; Woodcock Johnson Tests of Cognitive Ability III, Woodcock, McGrew, & Mather, 2001) include the assessment of mental speed as an important operational and conceptual undertaking. In a
Research on the control strategy and the design of main circuit parameters of energy storage system

Main circuit of charge and discharge of energy storage system is proposed to overcome the problem of intermittency and fluctuation of grid-injected power caused by the factor of natural condition. The work of the main circuit of energy storage system is showed and the unitary mathematical models of integrated Buck-Boost and VSC are established with the valve regulated lead acid (VRLA) as the storage component. Also the parameter design principle of the inductance is discussed under the premise of the satisfaction with the norm of the current fluctuation in the circuit of Buck-Boost. The method of given period comparison is used in the circuit of Buck-Boost to achieve constant power, and the accurately feedback-linearization control strategy is used in the grid converter VSC to achieve constant voltage of DC respectively. Experimental platform of energy storage system with the 24×12Ah in capacity is set up, and experimental results verify the feasibility of the control strategy for energy storage system and the validity of the design of main circuit parameters.
A heuristic approach for in-pit crusher and conveyor system’s time and location problem in large open-pit mining

Abstract Cost efficiency and high reliability of In-Pit Crushing and Conveying (IPCC) system make it more appealing to be used in deeper open-pit mining activities. Determination of the optimum time and location (OT–OL) for applying the IPCC system were always a challenge. Application of mathematical programming approaches suffers from reduced computational efficiency due to a lot of decision variables. The situation will be worse; by adding the IPCC’s time and location variables to these models. Also, the problem involves a lot of variables that each one of them is a function of others. To tackle these, this paper provides a new heuristic approach to find a good quality solution hierarchically (here in two levels). The problem was broken into two parts (i.e. OT and OL). The model works in a discrete time horizon. It has been verified by the data gathered from Sungun copper mine of Iran. Our computational results show that the system is efficient for developed countries with a stable and low interest rate.
The Impact of Leber Hereditary Optic Neuropathy on the Quality of Life of Patients and Their Relatives: A Qualitative Study

Supplemental Digital Content is Available in the Text. Background: Leber hereditary optic neuropathy (LHON) is an inherited mitochondrial disease characterized by severe bilateral vision loss and chronic visual impairment. The objective of this study was to comprehensively explore the impact of LHON on the lives of patients and their relatives at the time of diagnosis and now. Methods: Qualitative study design with 8 focus group interviews conducted in France, Germany, the United Kingdom, and the United States, involving 17 individuals with m.11778G>A mutation and their relatives. Separate focus groups for patients and their relatives were facilitated by a moderator in French, German, or English. Qualitative analysis of interviews using a pre-defined analytical framework. Results: Participants reported feeling devastated by the diagnosis of LHON after a lengthy and worrisome diagnostic journey. Patients were frustrated by the loss of autonomy, which also affected their relatives. Participants described challenges across several domains: physical capabilities, emotional well-being, interpersonal relationships, work and studies, finances, and recreational activities. Access to disability allowances, vision aids, and funded or subsided idebenone varied by country, resulting in unequal financial impact. Patients are hopeful for therapy that would restore autonomy and improve their ability to enjoy a fulfilling life, while alleviating the demands placed on their relatives. Conclusions: The impact of LHON extends beyond vision-related activity limitations. Addressing the psychosocial impact of LHON and helping patients and their relatives adapt and cope with vision loss are vital. As part of this, an accurate and timely diagnosis is important to enable early intervention. Further investigation of specific unmet needs is required.
Aberrant changes of dynamic global synchronization in patients with Parkinson's disease

Background Patients with Parkinson's disease (PD) have been documented with disrupted dynamic profiles of functional connectivity. However, the complementary information that is relevant to the dynamic pattern of global synchronization in patients with PD requires further investigation. Purpose To reveal the aberrant dynamic profiles of global synchronization involved in PD with a focus on temporal variability, strength, and property. Material and Methods A total of 46 patients with PD and 50 matched healthy controls (HCs) were enrolled. Degree centrality (DC) was used as the metric of global synchronization. The intergroup differences in the dynamic DC (dDC) pattern were compared, followed by further analysis of their clinical relevance in PD. Results Relative to HCs, the PD group showed decreased dDC variability in right inferior occipital gyrus, right insula, right middle occipital gyrus (MOG), and bilateral postcentral gyrus. The dDC variability in the MOG was significantly correlated with MoCA score. Two states (state I and state II) were suggested. Relative to HCs, the PD group demonstrated a shorter mean dwell time (MDT) in state I, a longer MDT in state II, and fewer transitions. For the PD group, dDC properties were significantly correlated with UPDRS-III scores. In state II, significantly decreased dynamic dDC strength in bilateral supplementary motor area was observed in the PD group, with a significant correlation with UPDRS-III scores. Conclusion These findings on PD imply that dynamic alterations of global synchronization are engaged in the dysfunction of movement and cognition, deepening the understanding of deteriorations that underlie PD with complementary evidence.
Comparative analysis of cardio-cerebrovascular complications in immigrants and native-born Koreans with diabetes: Risk factors and perspectives

Background Given the rapidly increasing number of immigrants, it is crucial to address health care issues involving immigrants to facilitate their safe and secure settlement. Especially for common chronic diseases, such as diabetes, immigrants face more complex obstacles to manage their chronic conditions than do native-born residents. Therefore, we aimed to assess differences in the incidence and associated risk factors of cardio-cerebrovascular (CCV) complications of immigrants compared with native-born Koreans with diabetes. Methods Immigrants and native-born Koreans who had new diagnosis of diabetes and simultaneously received anti-diabetic prescriptions in 2012 were defined by using Korean National Health Insurance Claim Database(KNHICD). CCV complications were assessed at a 3-year follow-up from the index date. We assessed differences in the CCV complications and risk factors using multiple cox regression models. Results In total, 4,008 patients (668 of immigrants and 3,340 of native-born Koreans) who had newly diagnosed diabetes and simultaneously received anti-diabetic prescriptions in 2012 were selected. Immigrants with diabetes were at a 1.39 times higher risk of having CCV complications than native-born Koreans with diabetes (95% CI: 1.021–1.881). Patients who had a usual sources of care (USC) presented a significantly reduced risk of cardio-cerebrovascular complication (HR: 0.452; 95% CI: 0.342–0.598) in both immigrants and native Koreans. In subgroup analysis in immigrants, patients having USC showed decreased risk of CCV incidence (HR: 0.35, 95% CI: 0.175–0.703), whereas >60 years old and Charlson comorbidity index (CCI) score >1 presented increased risk of CCV complications. Conclusion Immigrants with diabetes have a higher risk of CCV complications than native-born Koreans with diabetes. However, having a USC significantly decreased the risk of CCV complications. Therefore, the utilization of USC will benefit to reduce diabetic complications in immigrants as well as reduction of overall health care cost burden, it would be necessary to implement USC in diabetes care at the initial disease stage.
Organic self-assembled monolayers on superconducting NbSe2: interfacial electronic structure and energetics

While organic self-assembled monolayers (SAMs) have been widely used to modify the work function of metal and metal-oxide surfaces, their application to tune the critical temperature of a superconductor has only been considered recently when SAMs were deposited on NbSe2 monolayers (Calavalle et al 2021 Nano Lett. 21 136–143). Here, we describe the results of density functional theory calculations performed on the experimentally reported organic/NbSe2 systems. Our objectives are: (i) to determine how the organic layers impact the NbSe2 work function and electronic density of states; (ii) to understand the possible correlation with the experimental variations in superconducting behavior upon SAM deposition. We find that, upon adsorption of the organic monolayers, the work-function modulation induced by the SAM and interface dipoles is consistent with the experimental results. However, there occurs no significant difference in the electronic density of states near the Fermi level, a consequence of the absence of any charge transfer across the organic/NbSe2 interfaces. Therefore, our results indicate that it is not a SAM-induced tuning of the NbSe2 density of states near the Fermi level that leads to the tuning of the superconducting critical temperature. This calls for further explorations, both experimentally and theoretically, of the mechanism underlying the superconducting critical temperature variation upon formation of SAM/NbSe2 interfaces.
Cross-subject spatial filter transfer method for SSVEP-EEG feature recognition

Objective. Steady-state visual evoked potential (SSVEP) is an important control method of the brain–computer interface (BCI) system. The development of an efficient SSVEP feature decoding algorithm is the core issue in SSVEP-BCI. It has been proposed to use user training data to reduce the spontaneous electroencephalogram activity interference on SSVEP response, thereby improving the feature recognition accuracy of the SSVEP signal. Nevertheless, the tedious data collection process increases the mental fatigue of the user and severely affects the applicability of the BCI system. Approach. A cross-subject spatial filter transfer (CSSFT) method that transfer the existing user model with good SSVEP response to the new user test data without collecting any training data from the new user is proposed. Main results. Experimental results demonstrate that the transfer model increases the distinction of the feature discriminant coefficient between the gaze following target and the non-gaze following target and accurately identifies the wrong target in the fundamental algorithm model. The public datasets show that the CSSFT method significantly increases the recognition performance of canonical correlation analysis (CCA) and filter bank CCA. Additionally, when the data used to calculate the transfer model contains one data block only, the CSSFT method retains its effective feature recognition capabilities. Significance. The proposed method requires no tedious data calibration process for new users, provides an effective technical solution for the transfer of the cross-subject model, and has potential application value for promoting the application of the BCI system.