Miracle-dz/UniFAR-FTUs huggingface dataset:
Cardiorespiratory Response to Six-Minute Step Test in Post COVID-19 Patients—A Cross Sectional Study

Background and purpose: New coronavirus disease 2019 (COVID-19) can cause persistent symptoms and physical weakness that can lead to a limitation in activities of daily living (ADL). There is a lack of evidence about the performance in the six-minute step test (6MST) of post-COVID-19 patients and healthy subjects. The aim of this study is to investigate the cardiorespiratory response induced by the 6MST in post-COVID-19 patients and compare it with the response of the six-minute walk test (6MWT). Methods: This cross-sectional study was conducted on 34 post-COVID-19 patients and 33 healthy subjects. The assessment was performed at one month from a non-severe SARS-CoV-2 infection. Both groups were assessed by using the 6MST, 6MWT, and the pulmonary function test (PFT). Post COVID functional status (PCFS) scale was used for the post-COVID-19 group to assess functional status. Physiological responses; heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), blood pressure (BP), and Borg scale for fatigue and dyspnea were recorded before and after the 6MST and 6MWT. Results: the performance of the post-COVID-19 group was worse than the healthy group in both tests. In 6MWT, the distance walked by the post-COVID-19 group (423 ± 7) was 94 m less than the healthy group, and the number of climbed steps in the 6MST (121 ± 4) was 34 steps less than the healthy group. Both results were statistically significant (p < 0.001). There was a moderate positive correlation between the 6MST and 6MWT in walked distance versus steps number (r = 0.5, p < 0.001). In addition, there was a moderate correlation between the two tests in the post (HR, RR, SpO2, systolic blood pressure SBP, diastolic blood pressure DBP, dyspnea, and fatigue) with p < 0.001. Conclusions: Six-minute step tests produced similar cardiorespiratory responses when compared to a 6MWT. The 6MST can be used as an assessment tool for COVID-19 patients to evaluate their functional capacity and ADL.
Dietary Inflammatory Index during Pregnancy and Congenital Heart Defects

The relationship between diet-related inflammation during pregnancy and congenital heart defects (CHD) is unclear. This study attempted to investigate the association between the dietary inflammation index (DII) during pregnancy, reflecting the overall inflammatory potential of the maternal diet, and CHD in Northwest China. A case-control study with 474 cases and 948 controls was performed in Xi’an City, China. Eligible women awaiting delivery were recruited, and their dietary and other information during pregnancy was collected. Logistic regression models were applied to estimate the risk of CHD in association with DII. The maternal DII ranged from −1.36 to 5.73 in cases, and 0.43 to 5.63 in controls. Pregnant women with per 1 higher DII score were at 31% higher risk of fetal CHD (OR = 1.31, 95%CI = 1.14–1.51), and the adjusted OR (95%CI) comparing the pro-inflammatory diet group with the anti-inflammatory diet group was 2.04 (1.42–2.92). The inverse association of maternal DII score with CHD risk was consistent across various subgroups of maternal characteristics. Maternal DII in pregnancy had good predictive value for CHD in offspring, with the areas under the receiver operating characteristic curve higher than 0.7. These findings suggested that avoiding a pro-inflammatory diet in pregnancy should be emphasized in the prevention of CHD.
Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma

Simple Summary Lactate dehydrogenase (LDH) levels prior to treatment are a known biomarker to predict advanced melanoma’s response to immune checkpoint inhibitors (ICI). In this study, we evaluated the ability of machine learning-based models to predict responses to ICI and complement LDH for in predicting the outcomes of metastatic melanoma. A machine learning algorithm was developed using radiomics, and further analysis helped select the most important predictive features and variables. The machine learning model that combined both features extracted from images (radiomics) and pretreatment LDH levels resulted in better predictions of cancer response to ICI than models that only use radiomics features or LDH levels alone. Abstract Pretreatment LDH is a standard prognostic biomarker for advanced melanoma and is associated with response to ICI. We assessed the role of machine learning-based radiomics in predicting responses to ICI and in complementing LDH for prognostication of metastatic melanoma. From 2008–2022, 79 patients with 168 metastatic hepatic lesions were identified. All patients had arterial phase CT images 1-month prior to initiation of ICI. Response to ICI was assessed on follow-up CT at 3 months using RECIST criteria. A machine learning algorithm was developed using radiomics. Maximum relevance minimum redundancy (mRMR) was used to select features. ROC analysis and logistic regression analyses evaluated performance. Shapley additive explanations were used to identify the variables that are the most important in predicting a response. mRMR selection revealed 15 features that are associated with a response to ICI. The machine learning model combining both radiomics features and pretreatment LDH resulted in better performance for response prediction compared to models that included radiomics or LDH alone (AUC of 0.89 (95% CI: [0.76–0.99]) vs. 0.81 (95% CI: [0.65–0.94]) and 0.81 (95% CI: [0.72–0.91]), respectively). Using SHAP analysis, LDH and two GLSZM were the most predictive of the outcome. Pre-treatment CT radiomic features performed equally well to serum LDH in predicting treatment response.
Comparison of (K0.5Na0.5)NbO3 Single Crystals Grown by Seed-Free and Seeded Solid-State Single Crystal Growth

(K0.5Na0.5)NbO3-based piezoelectric ceramics are of interest as a lead-free replacement for Pb(Zr,Ti)O3. In recent years, single crystals of (K0.5Na0.5)NbO3 with improved properties have been grown by the seed-free solid-state crystal growth method, in which the base composition is doped with a specific amount of donor dopant, inducing a few grains to grow abnormally large and form single crystals. Our laboratory experienced difficulty obtaining repeatable single crystal growth using this method. To try and overcome this problem, single crystals of 0.985(K0.5Na0.5)NbO3-0.015Ba1. 05Nb0.77O3 and 0.985(K0.5Na0.5)NbO3-0.015Ba(Cu0.13Nb0.66)O3 were grown both by seed-free solid-state crystal growth and by seeded solid-state crystal growth using [001] and [110]-oriented KTaO3 seed crystals. X-ray diffraction was carried out on the bulk samples to confirm that single-crystal growth had taken place. Scanning electron microscopy was used to study sample microstructure. Chemical analysis was carried out using electron-probe microanalysis. The single crystal growth behaviour is explained using the mixed control mechanism of grain growth. Single crystals of (K0.5Na0.5)NbO3 could be grown by both seed-free and seeded solid-state crystal growth. Use of Ba(Cu0.13Nb0.66)O3 allowed a significant reduction in porosity in the single crystals. For both compositions, single crystal growth on [001]-oriented KTaO3 seed crystals was more extensive than previously reported in the literature. Large (~8 mm) and relatively dense (<8% porosity) single crystals of 0.985(K0.5Na0.5)NbO3-0.015Ba(Cu0.13Nb0.66)O3 can be grown using a [001]-oriented KTaO3 seed crystal. However, the problem of repeatable single crystal growth remains.
Outcomes of Percutaneous Coronary Intervention in Elderly Patients with Rheumatoid Arthritis: A Nationwide Population-Based Cohort Study

Rheumatoid arthritis (RA) increases the risk of cardiovascular disease. This study aimed to evaluate the clinical outcomes of elderly patients with and without RA who underwent percutaneous coronary intervention (PCI). The Korean National Health Insurance Service claims database was used to extract data on 74,623 patients (14,074 with RA and 60,549 without RA) aged ≥ 65 years who were diagnosed with acute coronary syndrome and underwent PCI between 2008 and 2019. The primary outcome was survival of elderly patients with and without RA. The secondary outcome was survival in the RA subgroup. During a 10-year follow-up, the all-cause mortality survival rate was lower in patients with RA than that in patients without (53.7% vs. 58.3%, respectively, log-rank: p < 0.001). In the all-cause mortality RA subgroup, patients with elderly-onset RA had poor survival outcomes, whereas patients with young-onset RA had good survival outcomes compared with that in patients without RA (48.1% vs. 73.7% vs. 58.3%, respectively, log-rank: p < 0.001). Elderly patients with RA who underwent PCI had an increased mortality risk, particularly those with elderly rather than young-onset RA.
The evolution of antibiotic resistance in an incurable and ultimately fatal infection

Abstract Background and objectives The processes by which pathogens evolve within a host dictate the efficacy of treatment strategies designed to slow antibiotic resistance evolution and influence population-wide resistance levels. The aim of this study is to describe the underlying genetic and phenotypic changes leading to antibiotic resistance within a patient who died as resistance evolved to available antibiotics. We assess whether robust patterns of collateral sensitivity and response to combinations existed that might have been leveraged to improve therapy. Methodology We used whole-genome sequencing of nine isolates taken from this patient over 279 days of a chronic infection with Enterobacter hormaechei, and systematically measured changes in resistance against five of the most relevant drugs considered for treatment. Results The entirety of the genetic change is consistent with de novo mutations and plasmid loss events, without acquisition of foreign genetic material via horizontal gene transfer. The nine isolates fall into three genetically distinct lineages, with early evolutionary trajectories being supplanted by previously unobserved multi-step evolutionary trajectories. Importantly, although the population evolved resistance to all the antibiotics used to treat the infection, no single isolate was resistant to all antibiotics. Evidence of collateral sensitivity and response to combinations therapy revealed inconsistent patterns across this diversifying population. Conclusions Translating antibiotic resistance management strategies from theoretical and laboratory data to clinical situations, such as this, will require managing diverse population with unpredictable resistance trajectories.
Hurricane Gonzalo and its Extratropical Transition to a Strong European Storm

Introduction. Recent studies simulating continued anthropogenic climate change provide evidence that extratropically transitioning tropical cyclones (TCs) will become more frequent and will hit western Europe more often (Baatsen et al. 2015; Haarsma et al. 2013). Mokhov et al. (2014) asserted, “Under the tendency towards global warming, we can expect an increase in the number of intensive cyclones in the warmer and more humid troposphere. ” We saw Hurricane Gonzalo of 2014 as an occasion to assess if these aforementioned properties of extratropically transitioned storms—frequency, intensity, and tracks—have changed. East of the Leeward Islands a tropical depression formed on 12 October 2014. On its way it passed through the northern Leeward Islands and intensified to a category 4 hurricane (Saffir-Simpson hurricane wind scale) on 16 October, known as “Gonzalo”. After changing its direction to northeast, Gonzalo weakened and crossed Bermuda with gusts of more than 200 km h−1 and heavy rains of about 70 mm within 24 hours. On 19 October, the storm transitioned to an extratropical cyclone off the coast of Newfoundland (Brown 2015). While continuing its path across the North Atlantic towards northwestern Europe, the cyclone was absorbed by a cold front and strengthened again. Afterwards, it hit the northern part of the United Kingdom on 21 Octber. It crossed the North Sea and then central parts of Europe, and went down to the Balkans. On 23 October ex-Gonzalo merged with another low pressure system that led to heavy precipitation for several days in this region. Maximum wind gusts between 100 and 180 km h−1, causing North Sea storm surges, were reported from several countries1,2,3. In addition, ex-Gonzalo triggered regional precipitation amounts of 50–100 mm in 24 hours, while the advection of cold air led to a sudden temperature drop with snowfall in some areas. Gonzalo and its remnants caused several fatalities, storm surges, structural damage, and power outages on both sides of the Atlantic4,5. Gonzalo attracted strong media attention as it affected many countries along its path6. There is no general definition of extratropical transition (ET) of TCs (Malmquist 1999). Basically, it is a gradual transformation of a TC into a system with extratropical characteristics while moving poleward into a more baroclinic environment with higher wind shear, a larger Coriolis parameter, and lower sea surface temperatures (Jones et al. 2003). The ET storm may interact with upper-level troughs or extratropical low pressure systems. Evans and Hart (2003) describe ET as the transition of a warm-core TC that interacts with a baroclinic midlatitude environment and then develops a cold core. Forty-six percent of the Atlantic TCs transitioned into extratropical cyclones between 1950 and 1996 (Hart and Evans 2001). This result was supported by Jones et al. (2003) for 1970–99 and Mokhov et al. (2014) for 1970–2012 who found 45% of North Atlantic TCs underwent ET. But only very few
Gut-Faecal Microbial and Health-Marker Response to Dietary Fumonisins in Weaned Pigs

This study investigated effects of dietary fumonisins (FBs) on gut and faecal microbiota of weaned pigs. In total, 18 7-week-old male pigs were fed either 0, 15 or 30 mg FBs (FB1 + FB2 + FB3)/kg diet for 21 days. The microbiota was analysed with amplicon sequencing of the 16S rRNA gene V3-V4 regions (Illumina MiSeq). Results showed no treatment effect (p > 0.05) on growth performance, serum reduced glutathione, glutathione peroxidase and malondialdehyde. FBs increased serum aspartate transaminase, gamma glutamyl-transferase and alkaline phosphatase activities. A 30 mg/kg FBs treatment shifted microbial population in the duodenum and ileum to lower levels (compared to control (p < 0.05)) of the families Campylobacteraceae and Clostridiaceae, respectively, as well as the genera Alloprevotella, Campylobacter and Lachnospiraceae Incertae Sedis (duodenum), Turicibacter (jejunum), and Clostridium sensu stricto 1 (ileum). Faecal microbiota had higher levels of the Erysipelotrichaceae and Ruminococcaceae families and Solobacterium, Faecalibacterium, Anaerofilum, Ruminococcus, Subdoligranulum, Pseudobutyrivibrio, Coprococcus and Roseburia genera in the 30 mg/kg FBs compared to control and/or to the 15 mg/kg FBs diets. Lactobacillus was more abundant in the duodenum compared to faeces in all treatment groups (p < 0.01). Overall, the 30 mg/kg FBs diet altered the pig gut microbiota without suppressing animal growth performance.
Five Surfaces Treated with d-Tetramethrin plus Acetamiprid for the Management of Tenebrio molitor and Alphitobius diaperinus: Which Is the Best?

Simple Summary This study evaluated the minimum as well as the maximum label dose of d-tetramethrin plus acetamiprid applied on plastic, glass, metal, wood, and ceramic surfaces, against adults of both species, in terms of immediate and delayed mortality. All T. molitor died after a 7-day exposure to the maximum dose at all tested surfaces when food was absent. In the presence of food, only glass-, metal-, and ceramic-treated surfaces killed all adults at the same dose. Even the minimum dose provided 100% mortality on glass, metal, and ceramic surfaces in both food scenarios. In the case of A. diaperinus, only the maximum dose caused the death of all exposed individuals on glass (with food) and on glass and plastic (no food). Overall, the maximum dose of d-tetramethrin plus acetamiprid is effective against the tested species on certain types of surfaces. Abstract Tenebrio molitor L. (Coleoptera: Tenebrionidae) and Alphitobius diaperinus Panzer (Coleoptera: Tenebrionidae) are two common tenebrionids occurring in grain storages. In this study, we assessed the immediate and delayed mortalities caused by d-tetramethrin plus acetamiprid on five different surfaces, i.e., plastic, glass, metal, wood, and ceramic, against adults of the two species. The tests included two label doses of the insecticide (minimum and maximum) and two food scenarios (food and no food). Generally, the maximum dose was more efficient than the minimum dose, and the presence of food resulted in lower observed mortalities than when food was absent. Tenebrio molitor was more susceptible than A. diaperinus, at all dose, food, and surface scenarios. At delayed bioassays, both doses killed all T. molitor on plastic, while on wood, mortality ranged between 80.6 and 100.0%, regardless of the food scenario. Concerning A. diaperinus, delayed mortalities ranged among treated surfaces, food scenarios, and dose from 58.3 to 100.0%. The insecticide killed the most individuals when it was treated on glass, while when it was applied on wood caused the death of the least individuals. Concerning plastic, metal, and ceramic surfaces, no general trend was observed. The maximum dose of the tested insecticide provides elevated mortalities for both species when food is absent.
The origins of hypothesis testing: Young children’s developing understanding of information seeking compared to effect production

ABSTRACT Understanding that hypothesis testing is aimed at seeking information rather than producing desirable outcomes is indispensable for designing informative experiments. This study investigated the developmental course of information seeking compared to producing an effect in young children. In a between-subjects design, 4- to 6-year-olds (N = 109) were presented with the same pattern of events and asked to choose an intervention to either seek information on whether a hypothesis is right or produce an effect. The results revealed a developmental change between 4 and 6 years of age. From 5.5 years and onwards, children selectively chose the correct interventions in both conditions, whereas 4- and younger 5-year-olds did not. Contrary to the general view that producing desirable outcomes developmentally precedes engaging in information seeking, the present findings indicate that they follow a similar developmental line in the early childhood years.
Cenozoic Shortening and Propagation in the Eastern Kuqa Fold‐And‐Thrust Belt, South Tian Shan, NW China

In an orogen‐foreland basin system, syn‐orogenic sedimentation and deformation records within the foreland basin provide critical evidence for understanding uplift and erosion processes of adjacent orogenic belts. Foreland fold‐and‐thrust belts (FTBs) are widely developed around the Tian Shan range, Central Asia. Problem of how crustal shortening accumulates and propagates from the Tian Shan to adjacent foreland basins is essential for understanding the overall dynamics of Tian Shan. In this study, we interpreted three high‐resolution seismic reflection profiles to estimate the magnitude and distribution of Cenozoic shortening across the Eastern Kuqa FTB, South Tian Shan foreland. Combined with well‐dated syntectonic stratigraphy, we further evaluate the timing, rate, and migration of the deformation front of the Kuqa FTB. Our results suggest that the Kuqa FTB's total crustal shortening increases westward. The distribution of crustal shortening across secondary structural belts shows a gradual, basinward decrease, which can be explained by the telescoped mechanism. Propagation rates of the Kuqa FTB's deformation front indicate an episodic propagation of the foreland thrust wedge, with an acceleration after ∼12 Ma. Similar episodic propagation pattern has also been observed in other foreland FTBs around the Tian Shan, but they show significant spatio‐temporal variations in the propagation stages and related rates.
IDENTIFIABILITY PROBLEMS RELATED WITH CREDIBILITY: A SURVEY WITH APPLICATIONS

Premium computation in a Bayesian context requires the use of a prior distribution that the unknown risk parameter of the likelihood follows in the heterogeneous population. Sometimes, the Bayes premium is expressed as a weighted sum of the sample mean and the collective premium, known in the literature as credibility formula. In this paper, some connections between credibility theory and identifiability problems are reviewed and modestly extended by identifying the prior distribution under different likelihoods by the form of the Bayes premium, which results under appropriate likelihood and prior distribution a credibility formula. Results under the net premium principle for Poisson, binomial, and negative binomial likelihood functions and under the Esscher premium principle for Poisson likelihood function are shown. The methodology is applied to generate a wide spectrum of discrete distributions when non-credibility formulae appear.
Free chattering hybrid sliding mode control for a class of non-linear systems: Electric vehicles as a case study

In current study, in order to find the control of general uncertain nonlinear systems, a new optimal hybrid control approach called Optimal General Type II Fuzzy Sliding Mode (OGT2FSM) is presented. In order to estimate unknown nonlinear activities in monitoring dynamic uncertainties, the benefits of general type-2 fuzzy logic systems (GT2FLS) is utilized by the suggested controller. The suggested controller not only warranties the constancy and hardiness against uncertainties of the lumped resulted by external disturbances and un-modeled dynamics, but also considerably decreases the control chattering inherent in traditional sliding mode control. Moreover, the Modified Backtracking Search Algorithm (MBSA), which is a new heuristic algorithm, is used in the offered controller. A comparison is performed between the results of current study and the results of some of the most recent studies on the same topic, which are an Adaptive Interval Type-2 Fuzzy Logic Controller (AGT2FLC) and Conventional Sliding Mode Controller (CSMC), to assess the efficiency of the suggested controller. The suggested control scheme is finally used to the Electric Vehicles type as a case study. Results of simulation confirm the good performance the suggested controller.
Influence of the Team Effectiveness of Nursing Units on Nursing Care Left Undone and Nurse-Reported Quality of Care

The aim of this study was to identify the influence of nursing unit team effectiveness on nursing care left undone and nurse-reported quality of care. This was a cross-sectional study with a sample of 230 nurses working at general hospitals in South Korea. Data were collected in January 2023 using an online questionnaire. Nursing unit team effectiveness was measured, consisting of the following sub-scales: leadership of the head nurse, cohesion, job satisfaction, competency of nurses, work productivity, and coordination. Multiple regression analyses were used to assess relationships between nursing unit team effectiveness and nursing care left undone and nursing-reported quality of care. Among these sub-domains, the study found that the higher the coordination (β = −0.22, p < 0.001), the significantly lower the nursing care left undone. The higher the competency of nurses (β = 0.26, p < 0.001) and work productivity (β = 0.20, p < 0.001), the higher the nurse-reported quality of care. In addition, nursing care left undone had a negative effect on nurse-reported quality of care (β = −0.15, p < 0.001). Therefore, nursing managers should make efforts to manage team effectiveness in nursing units to improve nurse-reported quality of care.