Miracle-dz/UniFAR-FTUs huggingface dataset:
A scoping review investigating the use of exposure for the treatment and targeted prevention of anxiety and related disorders in young people

Abstract Background Cognitive Behavioural Therapy (CBT) is the gold standard intervention for anxiety and related mental health disorders among young people; however, the efficacy of individual elements of CBT (e.g., exposure to feared stimuli) have received little scrutiny. Aims This scoping review, informed by three stakeholder groups and a scientific advisory group, aimed to identify the nature and extent of the available research literature on the efficacy of exposure to feared stimuli, moderators of effectiveness in young people aged 14–24 years. Method Three international stakeholder groups composed of clinicians (N = 8), parents/carers (N = 5) and youth with lived experience of anxiety (N = 7) provided input into study design and results. Using the PRISMA extension for scoping reviews, a search of MEDLINE/Ovid, PsycINFO, PubMed, CINAHL, SCOPUS, EMBASE, ERIC, and Health Collection (informit) was conducted using terms related to anxiety, ages 14–24, and exposure. Results From 3508 unique abstracts, 64 papers were included for the review. While there was evidence for the efficacy of exposure as a treatment for youth anxiety disorders, fundamental gaps in knowledge of exposure in this age group were identified. Most studies examined post‐traumatic stress disorder, obsessive–compulsive disorder, and specific phobias with no randomised clinical trials uniquely evaluating exposure for the treatment of DSM‐5 anxiety disorders. Exposure was typically delivered accompanied by other anxiety management techniques. A multitude of optimisation strategies have been tested, yet only one of these effects (timing relative to sleep) showed preliminary evidence of replication. Conclusions A systematic and theoretically driven program of research investigating the efficacy of exposure in young people and factors that moderate its efficacy, along with methods to overcome barriers for delivery, is urgently needed.
Effects of Teriparatide on Clinical and Radiologic Long-Term Outcomes after Fixation of Pertrochanteric Hip Fractures

Background: Pertrochanteric hip fractures are common and among serious injuries of the old population with considerable mortality and morbidity. The aim of this study was to evaluate long-term effects of recombinant human parathyroid hormone on postoperative clinical and radiologic outcomes in elderly patients with pertrochanteric hip fractures. Materials and Methods: Between 2016 and 2019, we prospectively assessed 80 patients with pertrochanteric hip fractures who underwent reduction and internal fixation with a dynamic hip screw. Patients were divided randomly into two groups. About 40 patients in the control group who received supplementary calcium (1000 mg/day) and vitamin D (800 UI/day), and 40 others who were treated additionally with 20–28 mg daily teriparatide for three months post-operatively. The functional and radiologic assessment was done using visual analog scale (VAS), Harris hip score (HSS), and standard radiographs of the hip. Results: At the final follow-up, there was a significant difference between the two groups regarding average HSS (68.38 in the control group versus 74.12 in the treatment group, P-value <0.001). VAS score was also significantly lower in the treatment group (P-value <0.001). Regarding radiographic evidence of union, the results were not statistically different between the two groups. Conclusions: The current study illustrated that short-term daily administration of teriparatide improves long-term functional outcome after pertrochanteric hip fracture fixation and can reduce the pain but does not affect union and callus formation.
Life‐history traits of a tropical bagrid catfish, Mystus mysticetus Roberts, 1992, caught from the Mekong Delta, Vietnam

Abstract Population's biological parameters, including length at first capture, mortalities, exploitation rates, growth coefficient, longevity, and recruitment times, are essential in assessing fishing status, but there is no data on Mystus mysticetus. Therefore, the study was conducted to provide these parameters to assess the fishing status of this species at Cai Rang, Can Tho (CRCT) and Long Phu, Soc Trang (LPST). A collection of 741 individual fish was used for analysis and showed that most fish size groups ranged from 9.0 cm to 12.0 cm, and the asymptotic length was 16.8 cm for both CRCT and LPST populations. The fish population von Bertalanffy curve was L t = 16.80(1 − e−0.51(t + 0.38)) at CRCT and L t = 16.80(1 − e−0.48(t + 0.40)) at LPST. The fish growth coefficient at CRCT (2.16) was higher than at LPST (2.13), whereas the reverse case was true for longevity ranging from 5.88 years (at CRCT) to 6.25 years (at LPST). At CRCT, fishing mortality, natural mortality, total mortality, and exploitation rate were 0.69/year, 1.40/year, 2.09/year, and 0.33, respectively; at LPST, these values were 0.75/year, 1.33/year, 2.08/year, and 0.36, respectively. Although the population parameter of this fish species exhibited a spatial variation, both CRCT and LPST fish resources have not been subjected to overexploit because E (0.33 at CRCT and 0.36 at LPST) is lower than E 0.1 (0.707 at CRCT and 0.616 at LPST).
Mild antecedent COVID-19 associated with symptom-specific post-acute sequelae

Background The impact of COVID-19 severity on development of long-term sequelae remains unclear, and symptom courses are not well defined. Methods This ambidirectional cohort study recruited adults with new or worsening symptoms lasting ≥3 weeks from confirmed SARS-CoV-2 infection between August 2020–December 2021. COVID-19 severity was defined as severe for those requiring hospitalization and mild for those not. Symptoms were collected using standardized questionnaires. Multivariable logistical regression estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between clinical variables and symptoms. Results Of 332 participants enrolled, median age was 52 years (IQR 42–62), 233 (70%) were female, and 172 (52%) were African American. Antecedent COVID-19 was mild in 171 (52%) and severe in 161 (48%). In adjusted models relative to severe cases, mild COVID-19 was associated with greater odds of fatigue (OR:1.83, CI:1.01–3.31), subjective cognitive impairment (OR:2.76, CI:1.53–5.00), headaches (OR:2.15, CI:1.05–4.44), and dizziness (OR:2.41, CI:1.18–4.92). Remdesivir treatment was associated with less fatigue (OR:0.47, CI:0.26–0.86) and fewer participants scoring >1.5 SD on PROMIS Cognitive scales (OR:0.43, CI:0.20–0.92). Fatigue and subjective cognitive impairment prevalence was higher 3–6 months after COVID-19 and persisted (fatigue OR:3.29, CI:2.08–5.20; cognitive OR:2.62, CI:1.67–4.11). Headache was highest at 9–12 months (OR:5.80, CI:1.94–17.3). Conclusions Mild antecedent COVID-19 was associated with highly prevalent symptoms, and those treated with remdesivir developed less fatigue and cognitive impairment. Sequelae had a delayed peak, ranging 3–12 months post infection, and many did not improve over time, underscoring the importance of targeted preventative measures.
Effects of SmartStax® and SmartStax® PRO maize on western corn rootworm (Diabrotica virgifera virgifera LeConte) larval feeding injury and adult life history parameters

Field-evolved resistance of the western corn rootworm (WCR), Diabrotica virgifera virgifera LeConte, to Bacillus thuringiensis Berliner (Bt) proteins Cry3Bb1 and Cry34/35Ab1 (now classified as Gpp34Ab1/Tpp35Ab1) expressed in the pyramid SmartStax® has been documented in areas of the United States (U.S.) Corn Belt. SmartStax® PRO is a recently registered rootworm-active pyramid containing the same Bt proteins expressed in SmartStax® plus DvSnf7 dsRNA. Little to no published data is available comparing efficacy of the technologies or potential effects of dietary exposure on adult WCR fitness. Therefore, experiments were conducted to compare effects of adult WCR dietary exposure to SmartStax® and SmartStax® PRO on life history parameters and efficacy of the technologies in the field with both Bt-susceptible and Bt-resistant WCR populations. WCR life history parameters evaluated included adult longevity, head capsule width, egg production, and egg viability. Results of small-plot field trials indicated that both technologies provided a high level of root protection when a Bt-susceptible WCR population was present. Root protection was reduced on SmartStax® but maintained on SmartStax® PRO when WCR Bt resistance occurred. Lifetime egg production was the key life history parameter that was significantly reduced when either Bt-susceptible or Bt-resistant adult WCR were fed SmartStax® or SmartStax® PRO diet. A potential fitness advantage was apparent as egg production was significantly higher in the Bt-resistant than Bt-susceptible population. The similar response by the Bt-susceptible WCR population to SmartStax® and SmartStax® PRO indicates that results were caused by sublethal dietary exposure to Bt proteins. Adult size (males < females) and egg viability (high: >95%) were not significantly different among treatments but longevity results were inconsistent between years. Collectively, the field efficacy and life history parameter data expand existing knowledge of SmartStax® and SmartStax® PRO technologies, which will inform practical WCR resistance management programs.
Classification of mixed data points for coupled circles estimation

Concentric circles fitting is a challenge task since the nonlinear fitting problem needs to find out the implicit relationship between the noisy measurement data points and the unknown parameters, circles center and radii, to be estimated. For most of the concentric circles estimators, they require the knowledge of the number of circles and the data points belonging to the different circles. However, this information is often not available in practice. In this thesis, we shall try to solve these two problems.
Oxidative stress, DNA damage, and inflammation in COVID-19 patients

OBJECTIVE Severe inflammation and oxidative stress seen in COVID-19 patients cause cumulative antiviral effects, and serious inflammation increases tissue, oxidative damage, and DNA damage. Therefore, in this study, oxidative stress, DNA damage, and inflammation biomarkers were investigated in patients diagnosed with COVID-19. METHODS In this study, blood samples were obtained from 150 Covid-19 patients diagnosed by polymerase chain reaction and 150 healthy volunteers with the same demographic characteristics. Total oxidant status (TOS), total antioxidant status (TAS), total thiol (TT), native thiol, and myeloperoxidase (MPO) activities were measured by photometric methods. The levels of tumor necrosis factor-alpha (TNF-α), interleukin 1 beta (IL-1β), and interleukin 6 (IL-6), which are inflammation markers, were measured by the ELISA method using commercial kits. The genotoxic effect was evaluated by Comet Assay. RESULTS The oxidative stress biomarkers; Disulfide, TOS, MPO, oxidative stress index, and IL-1β, IL-6, and TNF-α levels of inflammation biomarkers and the DNA damage in COVID-19 patients were increased (p<0.001), and the levels of TAS, TT, and NT In COVID-19 patients were decreased (p<0.001). CONCLUSION In COVID-19 patients, induced DNA damage, inflammation, and oxidative stress can guide the prognosis and treatment strategies of the disease.
Mason bees and honey bees synergistically enhance fruit set in sweet cherry orchards

Abstract Mason bees (Osmia spp.) are efficient fruit tree pollinators that can be encouraged to occupy and breed in artificial nesting material. In sweet cherry orchards, they are occasionally used as an alternative managed pollinator as a replacement for or in addition to honey bees (Apis mellifera). Yet, the lack of practical guidelines on management practices, for example optimal stocking rates, for both mason bee nesting material and honey bees might compromise pollination service provision. In this study, we assessed the relationship between stocking rates (honey bee hives and mason bee nesting material) and the abundance of honey bees and mason bees in 17 sweet cherry (Prunus avium) orchards in Central Germany. We furthermore performed a pollination experiment to explore the interactive effect of mason bees and honey bees on sweet cherry fruit set. In the orchards, both honey bee and mason bee abundance increased with increasing stocking rates of hives or nesting material, respectively. Honey bee abundance increased linearly with stocking rates. In contrast, mason bee abundance asymptoted at 2–3 nesting boxes per ha, beyond which more boxes resulted in little increase in visitation rate. Our pollination experiment demonstrated that orchards were pollen limited, with only 28% of insect‐pollinated flowers setting fruit versus 39% of optimally hand‐pollinated flowers. Honey bees and mason bees enhanced sweet cherry fruit set, but only when both were present and not when either was present alone in an orchard. Our findings demonstrate that offering nesting material for mason bees and employing honey bee hives can enhance bee abundance in sweet cherry orchards. By increasing honey bee abundance in combination with enhanced mason bee abundance, farmers can substantially boost fruit set and potentially sweet cherry yield. To enhance pollination services, farmers should consider the benefits of increasing pollinator biodiversity as an immediate benefit to improve crop yields.
M-theory and matrix models

We summarize our results on the ABJ(M) matrix model, which is the vacuum expectation value of a supersymmetric Wilson loop operator in the M2-brane worldvolume theory. We first give a Giambelli formula for the ABJ(M) matrix model. This formula implies that the fractional brane can be interpreted as a composite state of string excitations. We also present an exact instanton expansion of the ABJM partition function. This instanton expansion is especially interesting, because the coefficients of the string worldsheet instanton are divergent at certain Chern-Simons levels, though the divergences are completely cancelled by the divergences coming from the coefficients of the other membrane instanton. This is reminiscent of the lessons we learned in the non-perturbative study of string theory: String theory is a consistent theory only after including the non-perturbative branes.
A Numerical Approximation‐Based Controller for Mobile Robots with Velocity Limitation

In this paper the problem of trajectory tracking considers that the values of the control actions do not exceed a maximum allowable value and the zero convergence of tracking errors is demonstrated. The control law is based on a linear algebra approach. First, the desired trajectories of some state variables are determined by analyzing the conditions for a system of linear equations to have an exact solution. Therefore, the control signals are obtained by solving the system of linear equations. The optimal controller parameters are selected through nonlinear programming so as to prevent the saturation of the control actions. Experimental results are presented and discussed, demonstrating the controller's good performance. Finally, the performance of the proposed controller is compared with a fuzzy controller, and all the results are validated through experimental laboratory tests.
The species distribution and antimicrobial resistance profiles of Nocardia species in China: A systematic review and meta-analysis

Background Nocardia species can cause local or disseminated infection. Prompt diagnosis and appropriate treatment of nocardiosis are required, because it can cause significant morbidity and mortality. Knowledge of local species distribution and susceptibility patterns is important to appropriate empiric therapy. However, knowledge on the epidemiology and antimicrobial susceptibility profiles of clinical Nocardia species remains limited in China. Methods The data of isolation of Nocardia species were collected from databases such as Pubmed, Web of Science, Embase as well as Chinese databases (CNKI, Wanfang and VIP). Meta-analysis was performed using RevMan 5.3 software. Random effect models were used and tested with Cochran’s Q and I2 statistics taking into account the possibility of heterogeneity between studies. Results In total, 791 Nocardia isolates were identified to 19 species levels among all the recruited studies. The most common species were N. farcinica (29.1%, 230/791), followed by N. cyriacigeorgica (25.3%, 200/791), N. brasiliensis (11.8%, 93/791) and N. otitidiscaviarum (7.8%, 62/791). N. farcinica and N. cyriacigeorgica were widely distributed, N. brasiliensis mainly prevalent in the south, N. otitidiscaviarum mainly distributed in the eastern coastal provinces of China. Totally, 70.4% (223/317) Nocardia were cultured from respiratory tract specimens, 16.4% (52/317) from extra-pulmonary specimens, and 13.3% (42/317) from disseminated infection. The proportion of susceptible isolates as follows: linezolid 99.5% (197/198), amikacin 96.0% (190/198), trimethoprim-sulfamethoxazole 92.9% (184/198), imipenem 64.7% (128/198). Susceptibility varied by species of Nocardia. Conclusions N. farcinica and N. cyriacigeorgica are the most frequently isolated species, which are widely distributed in China. Pulmonary nocardiosis is the most common type of infection. Trimethoprim-sulfamethoxazole can still be the preferred agent for initial Nocardia infection therapy due to the low resistance rate, linezolid and amikacin could be an alternative to treat nocardiosis or a choice in a combination regimen.
Numerical Study of the Flow Fields in Downburst with Consideration of the Rough Condition on the Ground

The downburst is an extreme weather condition whose resulting load will affect the stability of the building structures. The characteristic of downbursts is required during the design of buildings. In order to achieve the characteristics of the downbursts, large eddy simulation (LES) is adopted. The method impinging jet is used to reproduce the downbursts, meanwhile smooth and rough ground conditions are examined. The setting of the rough layer of the ground is done by using the immersion boundary method (IBM). After the simulation, the wind field is decomposed into the mean component and the turbulence component. In this paper, the radial wind speed profile and the wind speed time diagram of the simulation experiment are compared with the previous measured data and the simulation results. This paper reveals that the radial wind speed is the key part of the downburst wind speed, and it rapidly increases with height. It is also found that the rough ground will cause the peak radial velocity to move up, which is consistent with the change of the main annular vorticity in vortex cloud image analysis. Finally, the turbulence intensity is found to be relatively small at the position where the radial wind speed is relatively large.
Computational Study of the Dynamics of the Flow-Field Induced by Vortex Generators

Vortex Generators (VGs) are one of the most commonly used passive flow control devices. Recent studies have shown that it is beneficial to use sub-boundary layer vortex generators (SBVGs). The height of these generators varies between 10% - 50% of the boundary layer thickness. However, the reduced height causes the induced vortices to be substantially weaker. Therefore, using SBVG is beneficial only when the regions of flow separation are well defined. To better understand and comprehensively predict the effectiveness of these devices for flow control over a range of operating conditions, two different SBVG profile: rectangular vortex generators (RVGs) and triangular vortex generators (TVGs) are analysed when subjected to a laminar boundary layer. The topics of interest are instantaneous flow, mean flow, far-field acoustic properties and influence of the angle of attack on the VG vane. The results emphasise the unsteady nature of the induced vortices for both the VG profiles. For RVGs, mean flow visualisation indicates the presence of local re-circulation zones in between the vanes with an increase in angle of attack. Additionally, secondary vortices are noted for both the VGs. These secondary vortices significantly influence the properties of the primary vortices thereby, suggesting that, effectively managing the secondary vortices using suitable design changes to VG profile could be one of the possible ways to accomplish better flow control.
Adaptive output feedback control for a class of large-scale output-constrained non-linear time-delay systems

This study is concerned with the adaptive stabilisation problem for a class of large-scale output-constrained non-linear time-delay systems in strict-feedback form. The investigative system satisfies a more general growth condition and the precise knowledge of the time delay is not required to be known a priori. Firstly, an observer is designed by the dynamic gain control design technique. Then, based on a novel Lyapunov-Krasovskii functional, the output constraints are satisfied and the stability of the closed-loop control system is achieved. Finally, a numerical example is given to demonstrate the effectiveness of the proposed design procedure.
FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration

Open set recognition (OSR) aims to accurately classify known diseases and recognize unseen diseases as the unknown class in medical scenarios. However, in existing OSR approaches, gathering data from distributed sites to construct large-scale centralized training datasets usually leads to high privacy and security risk, which could be alleviated elegantly via the popular cross-site training paradigm, federated learning (FL). To this end, we represent the first effort to formulate federated open set recognition (FedOSR), and meanwhile propose a novel Federated Open Set Synthesis (FedOSS) framework to address the core challenge of FedOSR: the unavailability of unknown samples for all anticipated clients during the training phase. The proposed FedOSS framework mainly leverages two modules, i.e., Discrete Unknown Sample Synthesis (DUSS) and Federated Open Space Sampling (FOSS), to generate virtual unknown samples for learning decision boundaries between known and unknown classes. Specifically, DUSS exploits inter-client knowledge inconsistency to recognize known samples near decision boundaries and then pushes them beyond decision boundaries to synthesize discrete virtual unknown samples. FOSS unites these generated unknown samples from different clients to estimate the class-conditional distributions of open data space near decision boundaries and further samples open data, thereby improving the diversity of virtual unknown samples. Additionally, we conduct comprehensive ablation experiments to verify the effectiveness of DUSS and FOSS. FedOSS shows superior performance on public medical datasets in comparison with state-of-the-art approaches. The source code is available at https://github.com/CityU-AIM-Group/FedOSS.