Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical Care Management Following Lung Transplantation

Postoperative critical care management for lung transplant recipients in the intensive care unit (ICU) has expanded in recent years due to its complexity and impact on clinical outcomes. The practical aspects of post-transplant critical care management, especially regarding ventilation and hemodynamic management during the early postoperative period in the ICU, are discussed in this brief review. Monitoring in the ICU provides information on the patient’s clinical status, diagnostic assessment of complications, and future management plans since lung transplantation involves unique pathophysiological conditions and risk factors for complications. After lung transplantation, the grafts should be appropriately ventilated with lung protective strategies to prevent ventilator-induced lung injury, as well as to promote graft function and maintain adequate gas exchange. Hypotension and varying degrees of pulmonary edema are common in the immediate postoperative lung transplantation setting. Ventricular dysfunction in lung transplant recipients should also be considered. Therefore, adequate volume and hemodynamic management with vasoactive agents based on their physiological effects and patient response are critical in the early postoperative lung transplantation period. Integrated management provided by a professional multidisciplinary team is essential for the critical care management of lung transplant recipients in the ICU.
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy

Feature selection aims to remove irrelevant or redundant features and thereby remain relevant or informative features so that it is often preferred for alleviating the dimensionality curse, enhancing learning performance, providing better readability and interpretability, and so on. Data that contain numerical and categorical representations are called heterogeneous data, and they exist widely in many real-world applications. Neighborhood rough set (NRS) can effectively deal with heterogeneous data by using neighborhood binary relation, which has been successfully applied to heterogeneous feature selection. In this article, the NRS model as a unified framework is used to design a feature selection method to handle categorical, numerical, and heterogeneous data. First, the concept of neighborhood combination entropy (NCE) is presented. It can reflect the probability of pairs of the neighborhood granules that are probably distinguishable from each other. Then, the conditional neighborhood combination entropy (cNCE) based on NCE is proposed under the condition of considering decision attributes. Moreover, some properties and relationships between cNCE and NCE are derived. Finally, the functions of inner and outer significances are constructed to design a feature selection algorithm based on cNCE (FScNCE). The experimental results show the effectiveness and superiority of the proposed algorithm.
On -submodules for reflexive operator algebras

In [2] the authors described all weakly closed _W-submodules of L(H) for a nest algebra v in terms of order homomorphisms of Lat-'. In this paper we prove that for any reflexive algebra v which is a-weakly generated by rank-one operators in X, every a-weakly closed s/-submodule can be characterized by an order homomorphism of Lat-W. In the case when v is a reflexive algebra with a completely distributive subspace lattice and / is a a-weakly closed ideal of X, we obtain necessary and sufficient conditions for the commutant of v modulo X to be equal to AlgLatf. Let H be a complex Hilbert space, and let L(H) be the set of all bounded linear operators on H. The terminology and notation of this paper concerning nest algebras and reflexive subspaces of L(H) may be found in [3]. Let v be a reflexive subalgebra of L(H). Suppose that E is an order homomorphism of Lat _W into itself (i.e. E < F implies E < F), where Lat &' is the set of all invariant projections for -W. Then the set //'X = {T c L(H): (I-E)TE = 0 for all E E Lat -W} is clearly a weakly closed -W -subrnodule of L(H). J. A. Erdos and S. C. Power in [2] proved that any weakly closed -W-submodule of L(H) for a nest algebra v is of the above form. Here we prove that this is also true for any reflexive algebra v which is a-weakly generated by rank-one operators in X. The following result is due to J. Kraus and D. R. Larson [3]. THEOREM 1. Let v be a unital a-weakly closed algebra which is a-weakly generated by rank-one operators in -W. Then every a-weakly closed left or right module of is reflexive. THEOREM 2. Let v be as in the above theorem, and let X be a a-weakly closed v -submodule of L (H). Then X' has the form X = {T c L(H): (I E)TE = 0 for all E c Lat-'}, where E f-* E is some order homomorphism of Lat-W into itself. PROOF. For any E c Lat-W, let E be the orthogonal projection onto [/'EH] = V{ran(XE): X c X}. Since I is an -'-submodule, E is invariant under -v and clearly E ~-+ E is an order homomorphism. Let -I = {T c L(H): (I E)TE = 0 for all E c Lat-&}. It is obvious that X D X'. Conversely, if T c IV, then (I E)TE = 0, so [TEH] C [EH] = [vfEH] for any E E Lat-'. Now for any Received by the editors March 20, 1987 and, in revised form, December 7, 1987. 1980 Mathematics Subject Classification (1985 Revision). Primary 47D25, 47D15; Secondary 47B47.
Redescription, deposition of life-cycle stage specimens of Sarcocystis bovifelis Heydorn, Gestrich, Mehlhorn and Rommel, 1975, and amendment to Sarcocystis hirsuta Moulé, 1888

Abstract Abstract There is considerable debate concerning the life cycles and taxonomy of Sarcocystis species in cattle. Of the 8 species of Sarcocystis named from cattle, 2 (Sarcocystis cruzi and Sarcocystis heydorni) are morphologically distinctive because their sarcocysts are microscopic and the sarcocyst wall is thin (<0.5 μm thick). The sarcocysts of the remaining species (Sarcocystis hirsuta, Sarcocystis hominis, Sarcocystis bovini, Sarcocystis bovifelis, Sarcocystis sinensis, Sarcocystis rommeli) have thick (5–8 μm) walls indistinguishable by light microscopy, alone. To provide needed clarity, I herein review the history, nomenclature and life cycle of S. bovifelis (originally named by Heydorn and associates from Germany), redescribe it and deposit specimens of its various life-cycle stages at a museum for future reference. I also provide means to distinguish this parasite from S. hirsuta. Cats are the definitive hosts for both S. bovifelis and S. hirsuta. The sarcocysts of S. bovifelis are microscopic, its sarcocyst wall is type 10g, it has 2 schizogonic stages in blood vessels and sarcocysts are formed between 25 and 30 days post-inoculation in striated muscles, but not in the heart. Sporulated oocysts are 17.1 × 12.7 μm and sporocysts are 12.8 × 8.4 μm. The sarcocysts of Sarcocystis hirsuta are macroscopic, up to 7 mm long, its wall is type 18. Nothing is known of the development of S. hirsuta in cattle tissues and in cat intestine. Size of its oocysts and sporocysts is uncertain.
Acute kidney injury as the most important predictor of poor prognosis after interventional treatment for aortic stenosis.

BACKGROUND Aortic stenosis (AS) is the most common acquired valvular disease. There are two methods of interventional treatment: surgical aortic valve replacement (SAVR) and transcatheter aortic valve implantation (TAVI). The choice between SAVR and TAVI depends on the assessment of individual perioperative risk and long-term treatment outcomes. It is essential to identify factors that may influence the outcomes of the treatment in order to minimize their negative effects. AIMS The aim of the study was to identify the most important risk factor which affects treatment outcomes in patients with AS undergoing SAVR/TAVI. METHODS This study reviewed retrospectively patients with AS who underwent SAVR and TAVI. The primary outcomes included incidences of major adverse cardiovascular events (MACE) defined as cardiovascular death, stroke and hospitalization due to cardiovascular issues assessed over one-year follow-up period. An occurrence of postprocedural AKI (acute kidney injury) was identified as the independent predictor of MACE. RESULTS The study included 78 patients, the same number of subjects in each group (SAVR/TAVI [n = 39]). Twenty-nine patients developed AKI. It was similar in both groups (SAVR [n = 15]; TAVR [n = 14]). In the SAVR group, 13 (33%) of patients developed at least one MACE compared to 5 (13%) of patients in the TAVI group. AKI and the type of procedure (SAVR) were shown to be significantly and independently associated with the development of MACE (P = 0.01 and P = 0.03, respectively) as shown in the Cox multivariable regression model. CONCLUSIONS Our study revealed that AKI is the strongest predictor of major adverse cardiovascular events after both methods of aortic valve replacement (SAVR/TAVI).
Seroprevalence of Kaposi's sarcoma‐associated herpesvirus and risk factors in Jiuquan area, China

The seroprevalence of Kaposi's sarcoma‐associated herpesvirus (KSHV) is high in Xinjiang, China. But the seroprevalence of KSHV and risk factors are still unknown in Gansu which is adjacent to Xinjiang. Six hundred and seventy‐eight serum samples of the general population and 87 serum samples of syphilis patients from Jiuquan, Gansu were tested for antibodies against KSHV, including one latent protein (ORF73) and two lytic proteins (ORF65 and K8.1) using the ELISA. The total KSHV‐seropositive rate was 15.9% in 678 serum samples in the Jiuquan area, and the KSHV‐seropositive rate of males was higher than females (18.0% vs. 14.6%, p > 0.05). The Uygur, Kazakh, Hui, Manchu, and Mongolian populations had a higher seroprevalence of KSHV than the Han population (43.8%, 40.0%, 34.5%, 30.3%, 35.0% vs. 11.0%, respectively) among the ethnic groups in Jiuquan. Compared to the Han, Uygur, Kazak, Hui, Manchu, and Mongolian people had an increase in the risk of KSHV of 528.9%, 439.1%, 325.6%, 251.6%, and 335.4% (p < 0.001, p < 0.001, p < 0.001, p = 0.002, p = 0.003, respectively). The serum prevalence of KSHV in subjects aged < 20 years, 20−50 years, and >50 years was 13.8%, 14.7%, and 20.1%, respectively. Compared to the subjects aged < 20 years, 20−50 years and >50 years had an increase in the risk of KSHV of 7.4% and 56.9% (p = 0.829 and p = 0.204, respectively). Compared to the positive rate of KSHV in the general population of Anhui, the positive rate of KSHV was significantly higher in the general population of the Jiuquan area (15.9% vs. 9%, p < 0.01). There was no significant difference in the positive rate of KSHV between the Han population of Jiuquan and the Han population of Anhui (p > 0.05). In the population of syphilis patients in the Jiuquan area, the positive rate of KSHV was 30.7%, which was higher than that of the general population in the Gansu area (p < 0.05). This study indicates that Gansu has a high seroprevalence of KSHV. Ethnicity and syphilis are risk factors for KSHV infection.
Effectiveness of hydrogen peroxide treatments in preventing biofilm clogging in drip irrigation systems applying treated wastewater

Abstract The application of treated wastewater (TWW) via pressurized drip irrigation (DI) systems, specifically micro-irrigation, is an effective solution to mitigate water scarcity. TWW contains a higher concentration of nutrients and microbial activity compared to fresh water (FW) and poses a larger danger of fouling and subsequent clogging to DI systems. The goal of this paper was to characterize the effectiveness of chemical treatments, specifically hydrogen peroxide (H2O2) in preventing clogging in DI systems utilizing secondary (ST) and tertiary (TT)_TWW. A novel field model was employed to compare the flow rate (FR), fouling accumulation and composition in laterals and emitters of different treatments. Under ST_TWW irrigation, control treatment performance quickly declined while regular low concentration H2O2 treatments exhibited the lowest amounts of fouling and maintained nominal FR and coefficient of variation (CV). Shock treatments, defined as periodical applications of concentrated chemicals combined with lateral flushing, were ineffective in maintaining satisfactory irrigation performance.
Substituent effects on indole universal bases in DNA

Abstract A series of eleven 5-substituted-indole nucleoside residues were synthesized and incorporated into 15-mer oligodeoxynucleotide duplexes with each of the four natural bases (A, G, C, T) paired with the non-natural residues. The universal base properties of these residues were evaluated by comparing the stabilities of these complexes determined by UV thermal denaturation experiments. All of the substituted indoles were more stable than an unsubstituted indole residue, and measures of electronic influences of substituents on the indole pi system correlate with stability. Several residues were more promiscuous than the previously studied 5-nitroindole residue, but the relationship between substituents and selectivity is not clear.
Barriers and Enablers Influencing Women's Adoption and Continuation of Vaginally Inserted Contraceptive Methods: A Literature Review

Abstract Most vaginally inserted methods have limited availability and use despite offering characteristics that align with many women's stated preferences (e.g., nonhormonal and/or on demand). The objective of this review was to identify enablers and barriers to women's adoption and continuation of vaginally inserted contraceptive methods in low‐ and middle‐income countries (LMICs). We searched three databases (PubMed, Embase, and Web of Science) and 18 websites using keywords related to five vaginally inserted contraceptive methods (diaphragm, vaginal ring, female condom, copper intrauterine device [IUD], hormonal IUD) and terms associated with their adoption and continuation. Searches were limited to resources published between January 2010 and September 2020. Studies eligible for inclusion in our review presented results on women's use and perspectives on the enablers and barriers to adoption and continuation of the vaginally inserted contraceptive methods of interest in LMICs. Relevant studies among women's partners were also included, but not those of providers or other stakeholders. Data were coded, analyzed, and disaggregated according to a framework grounded in family planning (FP) literature and behavioral theories common to FP research and program implementation. Our initial search yielded 13,848 results, with 182 studies ultimately included in the analysis. Across methods, we found common enablers for method adoption, including quality contraceptive counseling as well as alignment between a woman's preferences and a method's duration of use and side effect profile. Common barriers included a lack of familiarity with the methods and product cost. Notably, vaginal insertion was not a major barrier to adoption in the literature reviewed. Vaginally inserted methods of contraception have the potential to fill a gap in method offerings and expand choice. Programmatic actions should address key barriers and enable voluntary use.
Extracting synchronized neuronal activity from local field potentials based on a marked point process framework

Objective. Brain-machine interfaces (BMIs) translate neural activity into motor commands to restore motor functions for people with paralysis. Local field potentials (LFPs) are promising for long-term BMIs, since the quality of the recording lasts longer than single neuronal spikes. Inferring neuronal spike activity from population activities such as LFPs is challenging, because LFPs stem from synaptic currents flowing in the neural tissue produced by various neuronal ensembles and reflect neural synchronization. Existing studies that combine LFPs with spikes leverage the spectrogram of the former, which can neither detect the transient characteristics of LFP features (here, neuromodulation in a specific frequency band) with high accuracy, nor correlate them with relevant neuronal activity with a sufficient time resolution. Approach. We propose a feature extraction and validation framework to directly extract LFP neuromodulations related to synchronized spike activity using recordings from the primary motor cortex of six Sprague Dawley rats during a lever-press task. We first select important LFP frequency bands relevant to behavior, and then implement a marked point process (MPP) methodology to extract transient LFP neuromodulations. We validate the LFP feature extraction by examining the correlation with the pairwise synchronized firing probability of important neurons, which are selected according to their contribution to behavioral decoding. The highly correlated synchronized firings identified by the LFP neuromodulations are fed into a decoder to check whether they can serve as a reliable neural data source for movement decoding. Main results. We find that the gamma band (30–80 Hz) LFP neuromodulations demonstrate significant correlation with synchronized firings. Compared with traditional spectrogram-based method, the higher-temporal resolution MPP method captures the synchronized firing patterns with fewer false alarms, and demonstrates significantly higher correlation than single neuron spikes. The decoding performance using the synchronized neuronal firings identified by the LFP neuromodulations can reach 90% compared to the full recorded neuronal ensembles. Significance. Our proposed framework successfully extracts the sparse LFP neuromodulations that can identify temporal synchronized neuronal spikes with high correlation. The identified neuronal spike pattern demonstrates high decoding performance, which suggest LFP can be used as an effective modality for long-term BMI decoding.
Antidepressant effects of a psychedelic experience in a large prospective naturalistic sample

Background: Over the last two decades, a number of studies have highlighted the potential of psychedelic therapy. However, questions remain to what extend these results translate to naturalistic samples, and how contextual factors and the acute psychedelic experience relate to improvements in affective symptoms following psychedelic experiences outside labs/clinics. The present study sought to address this knowledge gap. Aim: Here, we aimed to investigate changes in anxiety and depression scores before versus after psychedelic experiences in naturalistic contexts, and how various pharmacological, extrapharmacological and experience factors related to outcomes. Method: Individuals who planned to undergo a psychedelic experience were enrolled in this online survey study. Depressive symptoms were assessed at baseline and 2 and 4 weeks post-psychedelic experience, with self-rated Quick Inventory of Depressive Symptomatology (QIDS-SR-16) as the primary outcome. To facilitate clinical translation, only participants with depressive symptoms at baseline were included. Sample sizes for the four time points were N = 302, N = 182, N = 155 and N = 109, respectively. Results: Relative to baseline, reductions in depressive symptoms were observed at 2 and 4 weeks. A medicinal motive, previous psychedelic use, drug dose and the type of acute psychedelic experience (i.e. specifically, having an emotional breakthrough) were all significantly associated with changes in self-rated QIDS-SR-16. Conclusion: These results lend support to therapeutic potential of psychedelics and highlight the influence of pharmacological and non-pharmacological factors in determining response. Mindful of a potential sample and attrition bias, further controlled and observational longitudinal studies are needed to test the replicability of these findings.
Comparing the associations between host and tumor factors with survival outcomes with anti‐PD‐1 immunotherapy in metastatic melanoma

Anti‐programmed death‐1 (PD‐1) immunotherapy has drastically improved survival for metastatic melanoma; however, 50% of patients have progression within 6 months despite treatment. In this study, we investigated host, and tumor factors for metastatic melanoma patients treated with anti‐PD‐1 immunotherapy.
Genetic heterogeneity: Challenges, impacts, and methods through an associative lens

Genetic heterogeneity describes the occurrence of the same or similar phenotypes through different genetic mechanisms in different individuals. Robustly characterizing and accounting for genetic heterogeneity is crucial to pursuing the goals of precision medicine, for discovering novel disease biomarkers, and for identifying targets for treatments. Failure to account for genetic heterogeneity may lead to missed associations and incorrect inferences. Thus, it is critical to review the impact of genetic heterogeneity on the design and analysis of population level genetic studies, aspects that are often overlooked in the literature. In this review, we first contextualize our approach to genetic heterogeneity by proposing a high‐level categorization of heterogeneity into “feature,” “outcome,” and “associative” heterogeneity, drawing on perspectives from epidemiology and machine learning to illustrate distinctions between them. We highlight the unique nature of genetic heterogeneity as a heterogeneous pattern of association that warrants specific methodological considerations. We then focus on the challenges that preclude effective detection and characterization of genetic heterogeneity across a variety of epidemiological contexts. Finally, we discuss systems heterogeneity as an integrated approach to using genetic and other high‐dimensional multi‐omic data in complex disease research.
Prediction of VO2max From Submaximal Exercise Using the Smartphone Application Myworkout GO: Validation Study of a Digital Health Method

Background Physical inactivity remains the largest risk factor for the development of cardiovascular disease worldwide. Wearable devices have become a popular method of measuring activity-based outcomes and facilitating behavior change to increase cardiorespiratory fitness (CRF) or maximal oxygen consumption (VO2max) and reduce weight. However, it is critical to determine their accuracy in measuring these variables. Objective This study aimed to determine the accuracy of using a smartphone and the application Myworkout GO for submaximal prediction of VO2max. Methods Participants included 162 healthy volunteers: 58 women and 104 men (17-73 years old). The study consisted of 3 experimental tests randomized to 3 separate days. One-day VO2max was assessed with Metamax II, with the participant walking or running on the treadmill. On the 2 other days, the application Myworkout GO used standardized high aerobic intensity interval training (HIIT) on the treadmill to predict VO2max. Results There were no significant differences between directly measured VO2max (mean 49, SD 14 mL/kg/min) compared with the VO2max predicted by Myworkout GO (mean 50, SD 14 mL/kg/min). The direct and predicted VO2max values were highly correlated, with an R2 of 0.97 (P<.001) and standard error of the estimate (SEE) of 2.2 mL/kg/min, with no sex differences. Conclusions Myworkout GO accurately calculated VO2max, with an SEE of 4.5% in the total group. The submaximal HIIT session (4 x 4 minutes) incorporated in the application was tolerated well by the participants. We present health care providers and their patients with a more accurate and practical version of health risk estimation. This might increase physical activity and improve exercise habits in the general population.