Spatial Accessibility and Equity Evaluation of Medical Facilities Based on Improved 2SFCA: A Case Study in Xi'an, China.

Accurate evaluation of the accessibility of medical facilities is a prerequisite for the reasonable allocation of medical resources in a city. The accessibility of medical facilities depends not only on the distance to the supply and demand points, but also on the time spent in the process, and the supply capacity of the supply points. Taking Xi'an City of Shaanxi Province as an example, this paper comprehensively considers the facility supply capacity and introduces the selection probability function based on the two-step floating catchment area (2SFCA) method. In addition, in order to approximate the residents' acceptance of different types of hospitals for long-distance medical treatment in real situations, different levels of search radius were set for the different levels of hospitals, and ArcGIS was used to measure the accessibility and evaluate the spatial layout of medical facilities in the main urban area of Xi'an. The results show that there is a significant difference in the accessibility of medical facilities in the main urban area of Xi'an, and the accessibility tends to decrease gradually from the central city to the periphery. The inequity in the allocation of medical facilities in the main urban area of Xi'an is more obvious, with about 81.64% of people having access to 54.88% of medical resources. The accessibility evaluation model established by the improved 2SFCA method can obtain more accurate and objective evaluation results. This study can provide a reference basis for urban medical facilities' planning and rational spatial layout.

Brain Activation During Working Memory Task in Amnestic Mild Cognitive Impairment Patients and Its Association with Memory and Attention.

BACKGROUND: Amnestic mild cognitive impairment (aMCI) is regarded as a transitional state of Alzheimer's disease, with working memory (WM) impairment. OBJECTIVE: To investigate the brain activity in aMCI patients during WM tasks with the functional near-infrared spectroscopy (fNIRS) technique, as well as explore the association between brain activity and cognitive function in multiple domains. METHODS: This study is a case-control study of 54 aMCI patients and 33 cognitively healthy elderly (NC). All participants underwent neuropsychological assessments. fNIRS was applied to examine the brain activation during the WM task. Multivariable linear regression analysis was applied to evaluate associations between brain activation and cognitive function in multiple domains. RESULTS: Compared to NC subjects, aMCI patients had lower activation in the bilateral prefrontal, parietal, and occipital cortex during the WM task. Additionally, activation in the left prefrontal, bilateral parietal, and occipital cortex during the encoding and maintenance phase was positively associated with memory function. During memory retrieval, higher activity in the left prefrontal, parietal, and occipital cortex were correlated with higher memory scores. Besides, a positive association also formed between attention function and the activation in the left prefrontal, parietal, and occipital cortex during the WM task. CONCLUSION: These findings demonstrated that reduced activation in the prefrontal, parietal and occipital cortex during WM might reflect the risk of cognitive impairment, especially memory and attention function in aMCI patients. Given the brain activation visualization, fNIRS may be a convenient and alternative tool for screening the risk of Alzheimer's disease.

Diagnostic accuracy of multi-component spatial-temporal gait parameters in older adults with amnestic mild cognitive impairment.

Objective: This study aimed to develop a diagnostic model of multi-kinematic parameters for patients with amnestic mild cognitive impairment (aMCI). Method: In this cross-sectional study, 94 older adults were included (33 cognitively normal, CN; and 61 aMCI). We conducted neuropsychological battery tests, such as global cognition and cognitive domains, and collected gait parameters by an inertial-sensor gait analysis system. Multivariable regression models were used to identify the potential diagnostic variables for aMCI. Receiver operating characteristic (ROC) curves were applied to assess the diagnostic accuracy of kinematic parameters in discriminating aMCI from healthy subjects. Results: Multivariable regression showed that multi-kinematic parameters were the potential diagnostic variables for aMCI. The multi-kinematic parameter model, developed using Timed Up and Go (TUG) time, stride length, toe-off/heel stride angles, one-leg standing (OLS) time, and braking force, showed areas under ROC (AUC), 0.96 [95% confidence interval (CI), 0.905-0.857]; sensitivity, 0.90; and specificity, 0.91. In contrast, a single kinematic parameter's sensitivity was 0.26-0.95 and specificity was 0.21-0.90. Notably, the separating capacity of multi-kinematic parameters was highly similar to Montreal Cognitive Assessment (MoCA; AUC: 0.96 vs. 0.95). Compared to cognitive domain tests, the separating ability was comparable to Auditory Verbal Learning Test (AVLT) and Boston Naming Test (BNT; AUC: 0.96 vs. 0.97; AUC: 0.96 vs. 0.94). Conclusion: We developed one diagnostic model of multi-kinematic parameters for patients with aMCI in Foshan.

High Fall Risk Associated With Memory Deficit and Brain Lobes Atrophy Among Elderly With Amnestic Mild Cognitive Impairment and Mild Alzheimer's Disease.

Objectives: This study aimed to primarily examine the association between memory deficit and increased fall risk, second, explore the underlying neuroanatomical linkage of this association in the elderly with aMCI and mild AD. Methods: In this cross-sectional study, a total of 103 older adults were included (55 cognitively normal, CN; 48 cognitive impairment, CI, elderly with aMCI, and mild AD). Memory was assessed by the Auditory Verbal Learning Test (AVLT). Fall risk was evaluated by the Timed Up and Go (TUG) Test, heel strike angles, and stride speed, which were collected by an inertial-sensor-based wearable instrument (the JiBuEn™ gait analysis system). Brain volumes were full-automatic segmented and quantified using AccuBrain® v1.2 from three-dimensional T1-weighted (3D T1W) MR images. Multivariable regression analysis was used to examine the extent of the association between memory deficit and fall risk, the association of brain volumes with memory, and fall risk. Age, sex, education, BMI, and HAMD scores were adjusted. Sensitivity analysis was conducted. Results: Compared to CN, participants with aMCI and mild AD had poorer cognitive performance (p < 0.001), longer TUG time (p = 0.018), and smaller hippocampus and medial temporal volumes (p = 0.037 and 0.029). In the CI group, compared to good short delayed memory (SDM) performance (AVLT > 5), the elderly with bad SDM performance (AVLT ≤ 3) had longer TUG time, smaller heel strike angles, and slower stride speed. Multivariable regression analysis showed that elderly with poor memory had higher fall risk than relative good memory performance among cognitive impairment elderly. The TUG time increased by 2.1 s, 95% CI, 0.54∼3.67; left heel strike angle reduced by 3.22°, 95% CI, -6.05 to -0.39; and stride speed reduced by 0.09 m/s, 95% CI, -0.19 to -0.00 for the poor memory elderly among the CI group, but not found the association in CN group. In addition, serious medial temporal atrophy (MTA), small volumes of the frontal lobe and occipital lobe were associated with long TUG time and small heel strike angles; small volumes of the temporal lobe, frontal lobe, and parietal lobe were associated with slow stride speed. Conclusion: Our findings suggested that memory deficit was associated with increased fall risk in the elderly with aMCI and mild AD. The association might be mediated by the atrophy of medial temporal, frontal, and parietal lobes. Additionally, increased fall risk, tested by TUG time, heel stride angles, and stride speed, might be objective and convenient kinematics markers for dynamic monitoring of both memory function and fall risk.

Patient preferences and attitudes towards first choice medical services in Shenzhen, China: a cross-sectional study.

OBJECTIVE: This study aimed to explore the characteristics of Shenzhen residents' preferences and influencing factors regarding their first choice of medical institution at various medical levels, and to understand their attitudes towards community health services. DESIGN: Cross-sectional survey. PARTICIPANTS: A total of 1612 participants at least 18 years of age were randomly sampled with stratification among 10 districts in Shenzhen. Data were gathered through a self-designed questionnaire. The effective questionnaire response rate was 93.05%. All patients participated in the study voluntarily, provided written informed consent and were able to complete the questionnaire. MAIN OUTCOME MEASURES: We measured and compared the participants' expected and actual preferences and influencing factors regarding their first choice of medical service at various medical levels. RESULTS: More than 50% of the participants preferred municipal and district hospitals as their first choice, and 27.5% chose medical institutions according to specific circumstances. Univariate analysis indicated that age, education, income, medical insurance, housing conditions and registered permanent residence were significantly associated with the actual and expected preferred first medical institution. The main factors influencing participants' actual and expected preferred medical institution differed. With the actual preferred first medical institution as the dependent variable, education, monthly income, medical technology, convenience and providers' service attitude and medical ethics were the main factors (χ2=212.63, p<0.001), whereas with the expected preferred first medical institution as the dependent variable, occupation, Shenzhen registered permanent residence, education and medical technology were the main factors (χ2=78.101, p<0.001). CONCLUSION: The main factors influencing participants' preferred medical institution and their actual first visit differed. Patients with high education or income or registered permanent residence preferred high-level medical institutions for the first visit.

A Review of the Relationship Between EFL Teachers' Academic Buoyancy, Ambiguity Tolerance, and Hopelessness.

Second/foreign language education has been approved emotionally tense due to its inherent challenges, adversities, complications, and ambiguities. These factors can affect various language teaching and learning domains. Hence, it is critical for EFL teachers to be buoyant and tolerant of ambiguity so that they can teach efficiently and prevent a sense of hopelessness that can damage everything. Although there are investigations on these variables in L2 contexts, their main focus has been on EFL students and teachers' perspectives have been largely ignored. Against this shortcoming, this study aimed to review the definitions, conceptualizations, and research findings related to teachers' academic buoyancy, ambiguity tolerance, and hopelessness. Moreover, practical implications for EFL teachers and teacher trainers are presented to increase their awareness of language teaching challenges and ways to overcome them. Finally, the study provides directions for future research.

Analysis of the Molecular Mechanism of Punicalagin in the Treatment of Alzheimer's Disease by Computer-Aided Drug Research Technology.

The objective of this work is to explore the effect and potential mechanism of Punicalagin (Pun) in managing Alzheimer's disease (AD) based on computer-aided drug technology. The following methods were used: the intersection genes of Pun and AD were retrieved from the database and subjected to PPI analysis, GO, and KEGG enrichment analyses. Preliminary verification was performed by molecular docking, molecular dynamics (MD) simulation, and combined free energy calculation. The motor coordination and balance ability, anxiety degree, spatial learning, and memory ability of mice were measured by a rotating rod fatigue instrument, elevated cross maze, and Y maze, respectively. The amyloid ß protein (Aß) in the hippocampus was examined by immunohistochemistry, and the phosphorylation of serine at position 404 of the tau protein (Tau-pS404) was examined by western blot in the mouse brain. The PPI network of Pun showed that the intersection genes were closely related and enriched in muscle cell proliferation and the response to lipopolysaccharide. Results of molecular docking, MD simulations, and MM-GBSA demonstrated that Pun was closely bound to the target protein. Pun could improve the cognitive function of AD mice, as well as reduce Aß1-42 deposition and Tau phosphorylation in the brain (P < 0.05, P < 0.01). It can be concluded that Pun holds great promise in improving the cognitive function of AD mice. Mechanistically, Pun potentially acts on ALB, AKT1, SRC, EGFR, CASP3, and IGF-1 targets and mediates proteoglycan, lipid, and atherosclerosis in cancer, so as to reduce the accumulation of neurotoxic proteins in the brain.

Inter-tissue convergence of gene expression during ageing suggests age-related loss of tissue and cellular identity.

Developmental trajectories of gene expression may reverse in their direction during ageing, a phenomenon previously linked to cellular identity loss. Our analysis of cerebral cortex, lung, liver, and muscle transcriptomes of 16 mice, covering development and ageing intervals, revealed widespread but tissue-specific ageing-associated expression reversals. Cumulatively, these reversals create a unique phenomenon: mammalian tissue transcriptomes diverge from each other during postnatal development, but during ageing, they tend to converge towards similar expression levels, a process we term Divergence followed by Convergence (DiCo). We found that DiCo was most prevalent among tissue-specific genes and associated with loss of tissue identity, which is confirmed using data from independent mouse and human datasets. Further, using publicly available single-cell transcriptome data, we showed that DiCo could be driven both by alterations in tissue cell-type composition and also by cell-autonomous expression changes within particular cell types.

Sleep duration and efficiency are associated with plasma amyloid-ß in non-demented older people.

STUDY OBJECTIVES: This study aims to investigate the extent to which sleep duration and efficiency are associated with plasma amyloid-ß (Aß) levels in non-demented older people. METHODS: This study is a cross-sectional analysis of 305 non-demented older people. Sleep duration and efficiency were assessed used the Pittsburgh Sleep Quality Index. Levels of plasma Aß were determined by sandwich enzyme-linked immunosorbent assay technique. Associations between sleep variables and plasma Aß levels were evaluated with multivariable linear regression analysis. RESULTS: Compared to those with sleep duration > 7 h, participants with sleep duration < 6 h had a higher plasma Aß42 level (ß = 0.495, 95% CI 0.077~0.913, p = 0.021) and Aß42/Aß40 ratio (ß = 0.101, 95% CI 0.058~0.144, p < 0.001). Compared to those with sleep efficiency ≥ 85%, participants with lower sleep efficiency (65~74%, <65%) had a higher level of plasma Aß42 (<65%: ß = 0.627, 95% CI 0.147~1.108, p = 0.011) and Aß42/Aß40 ratio (65~74%: ß = 0.052, 95% CI 0.007~0.097, p = 0.026; <65%: ß = 0.117, 95% CI 0.067~0.168, p < 0.001). CONCLUSIONS: These findings indicated that short sleep duration and low sleep efficiency were associated with a high level of Aß42. A better comprehending of the link between sleep and plasma Aß levels may lead to effective sleep-based intervention to reduce the risk of Alzheimer's disease.

Variation of microRNA expression in the human placenta driven by population identity and sex of the newborn.

BACKGROUND: Analysis of lymphocyte cell lines revealed substantial differences in the expression of mRNA and microRNA (miRNA) among human populations. The extent of such population-associated differences in actual human tissues remains largely unexplored. The placenta is one of the few solid human tissues that can be collected in substantial numbers in a controlled manner, enabling quantitative analysis of transient biomolecules such as RNA transcripts. Here, we analyzed microRNA (miRNA) expression in human placental samples derived from 36 individuals representing four genetically distinct human populations: African Americans, European Americans, South Asians, and East Asians. All samples were collected at the same hospital following a unified protocol, thus minimizing potential biases that might influence the results. RESULTS: Sequence analysis of the miRNA fraction yielded 938 annotated and 70 novel miRNA transcripts expressed in the placenta. Of them, 82 (9%) of annotated and 11 (16%) of novel miRNAs displayed quantitative expression differences among populations, generally reflecting reported genetic and mRNA-expression-based distances. Several co-expressed miRNA clusters stood out from the rest of the population-associated differences in terms of miRNA evolutionary age, tissue-specificity, and disease-association characteristics. Among three non-environmental influenced demographic parameters, the second largest contributor to miRNA expression variation after population was the sex of the newborn, with 32 miRNAs (3% of detected) exhibiting significant expression differences depending on whether the newborn was male or female. Male-associated miRNAs were evolutionarily younger and correlated inversely with the expression of target mRNA involved in neuron-related functions. In contrast, both male and female-associated miRNAs appeared to mediate different types of hormonal responses. Demographic factors further affected reported imprinted expression of 66 placental miRNAs: the imprinting strength correlated with the mother's weight, but not height. CONCLUSIONS: Our results showed that among 12 assessed demographic variables, population affiliation and fetal sex had a substantial influence on miRNA expression variation among human placental samples. The effect of newborn-sex-associated miRNA differences further led to expression inhibition of the target genes clustering in specific functional pathways. By contrast, population-driven miRNA differences might mainly represent neutral changes with minimal functional impacts.

(Li,Na)SbS2 as a promising solar absorber material: A theoretical investigation.

NaSbS2 has been proposed as a novel photovoltaic material, but its band gap is not suitable for single-junction solar cells. In the present study, the systematic first-principles calculations were carried out to investigate the structural, mechanical, electronic and optical properties of ASbS2 (A = Li, Na, K) and Na1-xLixSbS2 solid solutions. These structures show good structural stability compared to CH3NH3PbI3. The results indicate that all the structures are indirect band gap semiconductors. The band gap of ASbS2 increases gradually when the alkali metal changes from Li to K. The band gap of NaSbS2 can be tuned by manipulating the amount of Li doping. The Na1-xLixSbS2 solid solutions have suitable band gaps for light-absorber semiconductors in solar cells. Moreover, the suitable band gap of NaSbS2 can be also obtained under moderate pressure. The mechanical properties of these materials are also analyzed, and the results indicate that they are brittle materials except for KSbS2. The optical absorption coefficients of these compounds are large over 10-5 cm-1 in the visible light region. We find that alloying can provide a feasible and effective approach for improving the photovoltaic performance of NaSbS2-based solar cells.

Delayed postoperative radiotherapy might improve the long-term prognosis of locally advanced esophageal squamous cell carcinoma.

OBJECTIVE: There is no consensus on the optimal timing of postoperative radiotherapy (PORT) for locally advanced esophageal squamous cell carcinoma (ESCC). We aimed to determine whether the timing of PORT affects the long-term prognosis of ESCC, and plotted nomograms to predict survival. METHODS: We retrospectively analyzed 351 ESCC patients who underwent radical surgery and PORT. Receiver operating characteristic curves were used to estimate the optimal cutoff point of the time interval between surgery and PORT. Cox proportional hazards regression was used to identify prognostic predictors. Overall survival (OS) and progression-free survival (PFS) were predicted using nomograms. RESULTS: The median follow-up was 53 months (range: 3-179 months). Compared to early PORT, PORT at >48 days after surgery was associated with better OS (adjusted hazard ratio [HR]: 1.406, p = 0.037) and PFS (adjusted HR: 1.475, p = 0.018). In the chemotherapy subgroup, incorporation of chemotherapy timing into the analysis suggested that 2-4 chemotherapy cycles followed by PORT was the optimal treatment schedule as compared to 0-1 chemotherapy cycle followed by PORT and concurrent chemoradiotherapy (5-year PFS: 65.9% vs. 51.0% vs. 50.1%; p = 0.049). The nomograms for OS and PFS were superior to the TNM classification (concordance indices: 0.721 vs. 0.626 and 0.716 vs. 0.610, respectively). CONCLUSIONS: Delayed PORT (>48 days) provides better survival benefit than early PORT among ESCC patients. PORT following 2-4 chemotherapy cycles might lead to the best survival rate. The nomogram plotted in this study effectively predicted survival and may help guide treatment.

Accurate prediction of species-specific 2-hydroxyisobutyrylation sites based on machine learning frameworks.

Lysine 2-hydroxyisobutyrylation (Khib) is a newly discovered post-translational modification (PTM) across eukaryotes and prokaryotes in recent years, which plays a significant role in diverse cellular functions. Accurate prediction of Khib sites is a first-crucial step to decipher its molecular mechanism and urgently needed. In this work, based on a large benchmark datasets in multi-species, a novel online species-specific prediction tool, namely KhibPred, was developed to identify Khib sites. Four types of feature strategies, including sequence-based information, physicochemical properties and evolutionary-derived information, were applied to represent a wide range of protein sequences, and the random forest was used to build the optimal feature datasets. Moreover, six representative machine learning (ML) methods were trained and comprehensively discussed and compared for each organism. Data analyses suggested that the unique protein sequence preferences were discovered for each species. When evaluated on independent test datasets, the area under the receiver operating characteristic curves (AUCs) achieved 0.807, 0.781, 0.825 and 0.831 for Saccharomyces cerevisiaes, Physcomitrella patens, Rice Seeds and HeLa cells, respectively. The satisfactory results imply that KhibPred is a promising computational tool. The online predictor can be freely available at: http://bioinfo.ncu.edu.cn/KhibPred.aspx.

Subjective Sleep Quality in Amnestic Mild Cognitive Impairment Elderly and Its Possible Relationship With Plasma Amyloid-ß.

STUDY OBJECTIVES: To investigate the extent to which sleep quality associated with plasma Aß levels in amnestic mild cognitive impairment (aMCI) elderly. METHODS: A total of 172 cognitively normal (NC) elderly and 133 aMCI elderly were included in this study. For the evaluation of sleep quality, the Pittsburgh Sleep Quality Index (PSQI) was used. Levels of plasma Aß were determined by the sandwich enzyme-linked immunosorbent assay technique. Multivariable linear regression analysis was applied to evaluate associations between sleep quality and plasma Aß levels after adjusting potential confounders. RESULTS: Compared to NC subjects, participants with aMCI had a higher global PSQI score (8.72 ± 3.87 vs. 7.10 ± 3.07, p < 0.001). The global PSQI score was positively associated with plasma Aß42 level in the aMCI group (ß = 0.063, 95% CI 0.001-0.125, and p = 0.049) but not in the NC group (p > 0.05). Additionally, a higher global PSQI score was associated with a higher plasma Aß42/Aß40 ratio in both NC (ß = 0.010, 95% CI 0.003-0.016, and p = 0.003) and aMCI groups (ß = 0.012, 95% CI 0.005-0.018, and p < 0.001). The association between global PSQI score and plasma Aß42/Aß40 ratio was stronger in individuals with aMCI relative to the NC subjects (ß = 0.076 vs. 0.030, p for interaction = 0.023). CONCLUSION: Poor sleep quality was associated with plasma Aß42 and Aß42/Aß40 ratio, with a stronger effect among individuals with aMCI. A better understanding of the role of sleep in plasma Aß levels in aMCI patients could lead to effective sleep-based intervention against the risk of Alzheimer's disease.

Lipidome alterations in human prefrontal cortex during development, aging, and cognitive disorders.

Lipids are essential to brain functions, yet they remain largely unexplored. Here we investigated the lipidome composition of prefrontal cortex gray matter in 396 cognitively healthy individuals with ages spanning 100 years, as well as 67 adult individuals diagnosed with autism (ASD), schizophrenia (SZ), and Down syndrome (DS). Of the 5024 detected lipids, 95% showed significant age-dependent concentration differences clustering into four temporal stages, and resulting in a gradual increase in membrane fluidity in individuals ranging from newborn to nonagenarian. Aging affects 14% of the brain lipidome with late-life changes starting predominantly at 50-55 years of age-a period of general metabolic transition. All three diseases alter the brain lipidome composition, leading-among other things-to a concentration decrease in glycerophospholipid metabolism and endocannabinoid signaling pathways. Lipid concentration decreases in SZ were further linked to genetic variants associated with disease, indicating the relevance of the lipidome changes to disease progression.

Wearable Sensor-Based Daily Life Walking Assessment of Gait for Distinguishing Individuals With Amnestic Mild Cognitive Impairment.

Objectives: To characterize gait disorders in patients with amnestic mild cognitive impairment (aMCIs) and determine the association between the performance of the gait function and cognition. Methodology: In this study, we enrolled 38 patients with aMCI and 30 cognitively normal individuals normal controls (NC). Neuropsychological assessments included tests of memory, executive function, language, and attention. Using an inertial-sensor-based wearable instrument, we collected the gait data dynamically for at least 1 h/day for 2 weeks. The gait parameters included walking velocity, stride length, stride time, cadence, and stride time variability. Results: The aMCI patients had reduced walking velocity and stride length and increased stride time variability compared with the NCs. The total number of steps, stride time, and cadence did not differ between the two groups. For all the subjects, walking velocity and stride length was positively associated with memory and executive function. Stride time variability was negatively correlated with the cognitive domains including memory, executive function and attention. Conclusion: This study suggested that cognitive impairment-related gait disorders occur (reduced gait speed, gait length, and gait stability) in daily life walking among the aMCI patients. A sensor-based wearable device for gait measurement may be an alternative and convenient tool for screening cognitive impairment.

Design and synthesis of a vanadate-based ratiometric fluorescent probe for sequential recognition of Cu2+ ions and biothiols.

A novel YVO4:Eu3+@CDs core-shell nanomaterial with two main emission peaks at 405 and 617 nm was synthesized through a simple mixing method, in which the carbon quantum dots (CDs) self-assembled with the YVO4:Eu3+ nanoparticle, due to the high affinity of oxygen-containing groups such as -COOH or -OH of CDs to the metal ions on the surface of YVO4:Eu3+. The red fluorescence of YVO4:Eu3+@CDs located at 617 nm can be quenched by Cu2+ ions efficiently, while the blue emission remains invariable; based on this, we construct a ratio fluorescent probe YVO4:Eu3+@CDs for Cu2+ ion detection, in which the blue emission of CDs is selected as the reference signal, and the red emission of YVO4:Eu3+ acts as an output signal. Furthermore, the addition of biothiol recovers the quenched red fluorescence quickly, which can be completed in 18 minutes. Thus, YVO4:Eu3+@CDs can also be used as a 'turn on' ratio fluorescent probe for biothiol rapid detection. Taking l-cysteine (l-Cys) as the model, the fluorescence intensity of the 617 nm peak increases with increasing Cys, and the ratio of F617/F405 is linear to the concentration of Cys in the range of 0.1 µM to 10 µM with a detection limit of 41 nM. Compared with these single wavelength emission biothiol fluorescent probes, an obvious change in the fluorescence color from blue to pink can be conveniently observed by the naked eye under a UV lamp. Meanwhile, this ratiometric probe has also been demonstrated to be used for the visual identification of biothiols in real blood serum samples.

Curved Fragmented Graphenic Hierarchical Architectures for Extraordinary Charging Capacities.

An approach to assemble hierarchically ordered 3D arrangements of curved graphenic nanofragments for energy storage devices is described. Assembling them into well-defined interconnected macroporous networks, followed by removal of the template, results in spherical macroporous, mesoporous, and microporous carbon microball (3MCM) architectures with controllable features spanning nanometer to micrometer length scales. These structures are ideal porous electrodes and can serve as lithium-ion battery (LIB) anodes as well as capacitive deionization (CDI) devices. The LIBs exhibit high reversible capacity (up to 1335 mAh g-1 ), with great rate capability (248 mAh g-1 at 20 C) and a long cycle life (60 cycles). For CDI, the curved graphenic networks have superior electrosorption capacity (i.e., 5.17 mg g-1 in 0.5 × 10-3 m NaCl) over conventional carbon materials. The performance of these materials is attributed to the hierarchical structure of the graphenic electrode, which enables faster ion diffusion and low transport resistance.

Predominant patterns of splicing evolution on human, chimpanzee and macaque evolutionary lineages.

Although splicing is widespread and evolves rapidly among species, the mechanisms driving this evolution, as well as its functional implications, are not yet fully understood. We analyzed the evolution of splicing patterns based on transcriptome data from five tissues of humans, chimpanzees, rhesus macaques and mice. In total, 1526 exons and exon sets from 1236 genes showed significant splicing differences among primates. More than 60% of these differences represent constitutive-to-alternative exon transitions while an additional 25% represent changes in exon inclusion frequency. These two dominant evolutionary patterns have contrasting conservation, regulation and functional features. The sum of these features indicates that, despite their prevalence, constitutive-to-alternative exon transitions do not substantially contribute to long-term functional transcriptome changes. Conversely, changes in exon inclusion frequency appear to be functionally relevant, especially for changes taking place in the brain on the human evolutionary lineage.