Overcoming noise in quantum teleportation with multipartite hybrid entanglement.

Quantum entanglement and decoherence are the two counterforces of many quantum technologies and protocols. For example, while quantum teleportation is fueled by a pair of maximally entangled resource qubits, it is vulnerable to decoherence. Here, we propose an efficient quantum teleportation protocol in the presence of pure decoherence and without entangled resource qubits entering the Bell-state measurement. Instead, we use multipartite hybrid entanglement between the auxiliary qubits and their local environments within the open-quantum system context. With a hybrid-entangled initial state, it is the decoherence that allows us to achieve high fidelities. We demonstrate our protocol in an all-optical experiment.

Effect of mobile health reminders on tuberculosis treatment outcomes in Shanghai, China: A prospective cohort study.

Background: Poor adherence increases the risk of unfavorable outcomes for tuberculosis (TB) patients. Mobile health (mHealth) reminders become promising approaches to support TB patients' treatment. But their effects on TB treatment outcomes remain controversial. In this prospective cohort study, we evaluated the effect of the reminder application (app) and the smart pillbox on TB treatment outcomes compared with the standard care in Shanghai, China. Methods: We recruited new pulmonary TB (PTB) patients diagnosed between April and November 2019 who were aged 18 or above, treated with the first-line regimen (2HREZ/4HR), and registered at Songjiang CDC (Shanghai). All eligible patients were invited to choose the standard care, the reminder app, or the smart pillbox to support their treatment. Cox proportional hazard model was fitted to assess the effect of mHealth reminders on treatment success. Results: 260 of 324 eligible patients enrolled with 88 using standard care, 82 the reminder app, and 90 the smart pillbox, followed for a total of 77,430 days. 175 (67.3%) participants were male. The median age was 32 (interquartile range [IQR] 25 to 50) years. A total of 44,785 doses were scheduled for 172 patients in the mHealth reminder groups during the study period. 44,604 (99.6%) doses were taken with 39,280 (87.7%) monitored by the mHealth reminders. A significant time-dependent downward linear trend was observed in the monthly proportion of dose intake (p < 0.001). 247 (95%) patients were successfully treated. The median treatment duration of successfully treated patients in the standard care group was 360 (IQR 283-369) days, significantly longer than those in the reminder app group (296, IQR 204-365, days) and the smart pillbox group (280, IQR 198-365, days) (both p < 0.01). Using the reminder app and the smart pillbox was associated with 1.58 times and 1.63 times increase in the possibility of treatment success compared with the standard care, respectively (both p < 0.01). Conclusion: The reminder app and the smart pillbox interventions were acceptable and improved the treatment outcomes compared with the standard care under the programmatic setting in Shanghai, China. More high-level evidence is expected to confirm the effect of mHealth reminders on TB treatment outcomes.

Fabricating lignin-containing cellulose nanofibrils with unique properties from agricultural residues with assistance of deep eutectic solvents.

Lignocellulosic biomass-derived nanocellulose has been attracting more and more attentions due to its distinguished advantages and various applications, but its development has been restricted by the preparation especially with environmental friendly approach. Herein, lignin-containing cellulose nanofibrils (LCNF) was prepared from corncob via the combined pretreatment of choline chloride-based DES (ChCl-DES) and enzymatic hydrolysis followed by high-pressure homogenization. The effects of different types of ChCl-DES on the properties of LCNF were investigated and compared. The results showed that LCNF can be successfully fabricated through the combined pretreatments; the LCNF had an average diameter of 60-90 nm, exhibited good fluorescence, high thermal stability (up to 353 °C of Tmax), hydrophobicity, stability, and redispersibility in organic solvent; AC-LCNF showed well oriented arrangement, the highest hydrophobicity and fluorescence, and distinguished redispersibility especially in DMSO. ChCl-DES as one green and sustainable approach would realize efficient separation and high value-added utilization of agricultural residues.

MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.

Predicting the associations between microRNAs (miRNAs) and diseases is of great significance for identifying miRNAs related to human diseases. Since it is time-consuming and costly to identify the association between miRNA and disease through biological experiments, computational methods are currently used as an effective supplement to identify the potential association between disease and miRNA. This paper presents a Multi-view Kernel Fusion Network (MvKFN) based prediction method (MvKFN-MDA) to address the problem of miRNA-disease associations prediction. A novel multiple kernel fusion framework Multi-view Kernel Fusion Network (MvKFN) is first proposed to effectively fuse different views similarity kernels constructed from different data sources in a highly nonlinear way. Using MvKFNs, both different base similarity kernels for miRNA, such as sequence, functional, semantic, Gaussian profile kernels and different base similarity kernels for diseases, such as semantic, Gaussian profile kernel are nonlinearly fused into two integrated similarity kernels, one for miRNA, another for disease. Then, miRNA and disease feature representations are extracted from the miRNA and disease integrated similarity kernels respectively. These features are then fed into a neural matrix completion framework which finally outputs the association prediction scores. The parameters of MvKFN-MDA are learned based on the known miRNA-disease association matrix in a supervised end-to-end way. We compare the proposed method with other state-of-the-art methods. The AUCs of our proposed method were superior to the existing methods in both 5-FCV and LOOCV on two open experimental datasets. Furthermore, 49, 48, and 47 of the top 50 predicted miRNAs for three high-risk human diseases, namely, colon cancer, lymphoma, and kidney cancer, are verified respectively using experimental literature. Finally, 100% accuracy from the top 50 predicted miRNAs is achieved when breast cancer is used as a case study to evaluate the ability of MvKFN-MDA for predicting a new disease without any known related miRNAs.

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction.

MOTIVATION: Predicting the association between microRNAs (miRNAs) and diseases plays an import role in identifying human disease-related miRNAs. As identification of miRNA-disease associations via biological experiments is time-consuming and expensive, computational methods are currently used as effective complements to determine the potential associations between disease and miRNA. RESULTS: We present a novel method of neural inductive matrix completion with graph convolutional network (NIMCGCN) for predicting miRNA-disease association. NIMCGCN first uses graph convolutional networks to learn miRNA and disease latent feature representations from the miRNA and disease similarity networks. Then, learned features were input into a novel neural inductive matrix completion (NIMC) model to generate an association matrix completion. The parameters of NIMCGCN were learned based on the known miRNA-disease association data in a supervised end-to-end way. We compared the proposed method with other state-of-the-art methods. The area under the receiver operating characteristic curve results showed that our method is significantly superior to existing methods. Furthermore, 50, 47 and 48 of the top 50 predicted miRNAs for three high-risk human diseases, namely, colon cancer, lymphoma and kidney cancer, were verified using experimental literature. Finally, 100% prediction accuracy was achieved when breast cancer was used as a case study to evaluate the ability of NIMCGCN for predicting a new disease without any known related miRNAs. AVAILABILITY AND IMPLEMENTATION: https://github.com/ljatynu/NIMCGCN/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Cross-sectional comparison of various sleep disturbances among sex- and age-matched HIV-infected versus HIV-uninfected individuals in China.

OBJECTIVE/BACKGROUND: This study assessed the prevalence and correlates of various sleep disturbances in HIV-infected patients compared to sex- and age-frequency-matched HIV-uninfected controls in China. METHODS: This cross-sectional analysis included 1469 HIV-infected cases and 2938 HIV-uninfected controls. Insomnia symptoms, poor sleep quality (Pittsburgh Sleep Quality Index [PSQI] >5) as well as their specific domains, were assessed. RESULTS: Prevalence of insomnia symptoms, poor sleep quality, and long sleep duration were higher in HIV-infected vs uninfected participants (23.7% vs 19.8%, 24.1% vs 19.9%, and16.1% vs 8.7%, respectively; all p < 0.05), and remained significant after adjusting for age, sex and education. An Age-stratified analysis showed that such differences were significant only at ages 18-29 and 30-44 years for insomnia symptoms and poor sleep quality long sleep duration was significant across all age groups. Among HIV-infected patients, multivariate analysis indicated that older age, depressive symptoms and frailty score were the most consistent variables associated with sleep disorders (ie, insomnia symptoms, poor sleep quality, short and long sleep durations), as well as all associations (if significant) were positive, excluding the negative associations of older age and depressive symptoms with short sleep duration. Regarding HIV-specific factors, only current CD4 cell count ≥500 cells/µL was negatively associated with insomnia symptoms. CONCLUSIONS: The impact of HIV infection on sleep disturbances may differ across age groups and are more pronounced among young adults. Additionally, the phenomenon of prolonged sleep duration among HIV-infected patients should be noted, and its link to poor physical health warrants further investigation.

Age-specific associations between HIV infection and carotid artery intima-media thickness in China: a cross-sectional evaluation of baseline data from the CHART cohort.

BACKGROUND: Inconclusive results have been reported in studies evaluating the association between HIV infection and subclinical atherosclerosis. Unsolved issues include whether the increased atherosclerosis burden observed in some studies is attributed to greater prevalence of traditional risk factors or HIV infection. Therefore, we evaluated the association of HIV infection with subclinical atherosclerosis as assessed by carotid artery intima-media thickness, while controlling for the effects of traditional risk factors as operationalised by the Framingham risk score (FRS). METHODS: We did a cross-sectional evaluation of data derived from the baseline assessment of the Comparative HIV and Aging Research in Taizhou (CHART) cohort, an ongoing longitudinal study being done in Zhejiang province, China. HIV-positive and HIV-negative individuals aged 18 years and older were recruited between Feb 1, and Dec 10, 2017, and were frequency-matched for age and sex in a 1:2 ratio. Subclinical atherosclerosis was defined as carotid artery intima-media thickness of 780 µm or higher. Logistic regression was used to assess the associations of HIV-positive serostatus and FRS with subclinical atherosclerosis. FINDINGS: 480 of 1425 (36·1%, 95% CI 33·6-38·6) HIV-positive and 784 of 2850 (27·5%, 95% CI 25·9-29·2) HIV-negative individuals had subclinical atherosclerosis (p<0·0001), and these patterns remained significant (adjusted odds ratio [adjOR] 1·72, 95% CI 1·47-2·01) in the adjusted model. After stratifying by age, higher prevalence of subclinical atherosclerosis was observed in HIV-positive than in HIV-negative individuals across the age groups 18-29 years (41 [16·0%] of 256 vs 13 [2·5%] of 512, p<0·0001), 30-44 years (128 [24·0%] of 533 vs 153 [14·4%] of 1066, p<0·0001), and 45-59 years (182 [46·6%] of 391 vs 294 [37·6%] of 782, p=0·0032), but not 60-75 years (163 [66·5%] of 245 vs 324 [66·1%] of 490, p=0·912). Significant negative interaction between HIV-positive serostatus and age on subclinical atherosclerosis was observed (p<0·0001). ORs adjusted for age, sex, and FRS were 8·84 (95% CI 4·50-17·34) for the age group 18-29 years, 2·09 (1·59-2·74) for 30-44 years, 1·54 (1·19-1·98) for 45-59 years, and 1·04 (0·75-1·44) for 60-75 years. Among HIV-positive individuals, none of the HIV-specific variables were significantly associated with carotid artery intima-media thickness estimates except for being antiretroviral therapy naive. INTERPRETATION: HIV infection is associated with subclinical atherosclerosis, independent of classic risk factors. The association is stronger at younger ages, suggesting early onset of subclinical atherosclerosis among young adults. These findings highlight the need to modify HIV/AIDS treatment guidelines to incorporate cardiovascular evaluation in China. FUNDING: China National Science and Technology Major Projects on Infectious Diseases, National Natural Science Foundation of China, and Shanghai Municipal Health and Family Planning Commission.

Sex differences in neurocognitive screening among adults living with HIV in China.

HIV-infected (HIV+) women may be more vulnerable to neurocognitive impairment (NCI) due to psychological and physiological factors but previous studies show mixed findings. We investigated the neurocognitive performances in HIV+ versus HIV- women and men. This cross-sectional analysis included 669 HIV+ patients (223 women) and 1338 HIV-uninfected (HIV-) controls (446 women) which were frequency matched on sex, education, and 5-year age categories. NCI was screened using the Mini-mental State Examination. Psychomotor speed was assessed using timed alternating hand sequence test. Prevalence of NCI was higher among women versus men in the HIV+ group (16.1% vs 10.5%) but not the HIV- group (4.3% vs 3.5%). HIV+ women performed worse compared to men on psychomotor speed, orientation, attention, and calculation, whereas HIV- women performed worse compared to men on attention and calculation. Adjusted interaction effects of HIV status × sex (women vs men) were significant on orientation, attention, and calculation, and marginally significant on psychomotor speed (p = 0.053). In multivariable models, among both HIV+ women and men, less years of education and depressive symptoms were associated with NCI. Waist-to-hip ratio above the cut-off was strongly associated with NCI among HIV+ women. HIV+ women perform worse on cognitive measures compared to HIV+ men. The association of central obesity with NCI in HIV+ women should be noted.

Magnetic combined cross-linked enzyme aggregates (Combi-CLEAs) for cofactor regeneration in the synthesis of chiral alcohol.

Magnetic Fe3O4 nanoparticles were prepared and embedded into the Combi-CLEAs to produce the magnetic Combi-CLEAs in this work. The process for magnetic Combi-CLEAs preparation was optimized, and its properties were investigated. The optimum temperature, thermal stability and optimum pH of magnetic Combi-CLEAs were similar to those of Combi-CLEAs. The catalytic performance of magnetic Combi-CLEAs was tested with the biosynthesis of (S)-ethyl 4-chloro-3-hydroxybutyrate ((S)-CHBE). Magnetic Combi-CLEAs could tolerate higher substrate concentration in the biphasic system. The catalytic efficiency and long-term operational stability of magnetic Combi-CLEAs were obviously superior to those of Combi-CLEAs in both aqueous and biphasic systems. Embedding of magnetic Fe3O4 nanoparticles endowing rigidity contributed to these improvements. Furthermore, the preparation of magnetic Combi-CLEAs was easy, and its recovery during multiple batches of reactions could be fulfilled by magnetic field. Aforementioned advantages make the magnetic Combi-CLEAs hold obvious potential for industrial application.

Integrating a light-driven coenzyme regeneration system by expression of an alcohol dehydrogenase in phototrophic bacteria for synthesis of chiral alcohol.

Herein, we reported that Rhodobacter sphaeroides (R. sphaeroides) can be engineered by heterologous expression of an alcohol dehydrogenase (adh) from Leifsonia sp. to build a light-driven cofactor regeneration system for synthesis of chiral alcohol. The model substrate, 3'-chloroacetophenone, can be reduced by the engineered R. sphaeroides to (R)-1-(3-chlorophenyl) ethanol with an enantiomeric excess (e.e.) value of more than 99% in an n-hexane/aqueous biphasic media. This system, which is fully controlled by light, exhibited potential power to be an alternative cofactor regeneration platform for cheap synthesis of various chiral alcohols via the cloning other oxidoreductases with diverse characteristics.