Assessment of Brain Function in Patients With Cognitive Impairment Based on fNIRS and Gait Analysis.

Background: Early detection of mild cognitive impairment is crucial in the prevention of Alzheimer's disease (AD). This study aims to explore the changes in gait and brain co-functional connectivity between cognitively healthy and cognitively impaired groups under dual-task walking through the functional near-infrared spectroscopy (fNIRS) and gait analysis devices. Method: This study used fNIRS device and gait analysis devices to collect the data of 54 older adults. According to the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) scales, the older adults were cognitively healthy (control group) and cognitively impaired (experimental group), of which 38 were in the control group and 16 were in the experimental group. The experiment was divided into a total of three sets of task experiments: a walking-only experiment, a dual-task walking-easy (DTW-easy) experiment, and a dual-task walking-difficult (DTW-difficult) experiment. Main Result: For the cognitively impaired and cognitively healthy populations, there were no significant differences in overall functional connectivity, region of interest (ROI) connection strength, and gait performance during single-task walking between the two groups.Whereas the performances of DTW differed significantly from the single-task walking in terms of between-group variability of functional connectivity strength change values, and ROI connection strength change values in relation to the dual-task cost of gait. Finally, the cognitively impaired group was significantly more affected by DTW-difficult tasks than the cognitively healthy group. Conclusion: This study provides a new approach to assist in the diagnosis of people with cognitive impairment and provides a new research pathway for the identification of cognitive impairment.

Strategies for improving the environmental performance of nickel production in China: Insight into a life cycle assessment.

Nickel is a critical metal for global low-carbon energy transition, but its production processes require massive energy inputs and emit large amounts of pollutants. This study constructed life cycle inventories of the mainstream electrolytic nickel production chains in China at the industrial level and subsequently evaluated their environmental performance via a regionalised life cycle impact assessment method. Results show that environmental indicator results of the electrolytic nickel production from the leaching electrowinning method were 17.7%-40.2% lower than those from the grind and flotation electrolytic method. At the endpoint level, the nickel mining and beneficiation stages contributed 54.7%-65.91% of human health damage, 83.0%-84.7% of ecosystem quality damage and 80.8%-83.7% of resources damage. The key processes, including direct processes, cement input and energy consumption (e.g., electricity and coal), accounted for more than 62.1% of the impacts in the key midpoint categories. The potential environmental damage of China's nickel mining and beneficiation industry increased by 29.2% from 2010 to 2018 because of the growing trend of nickel ore demand. In the case that China's nickel metal recovery rate reaches the global average level, then approximately 3.83 × 102 Daly of human health damage, 59.83 Species·year of ecosystem quality damage and 1.64 × 108 $ of resources damage can be avoided annually. Strategies for promoting the full assimilation of renewable electricity, applying the clinker-free cemented backfill materials in the mining process, precious recovery by bioleaching from tailings and reusing waste rock as building materials are recommended. Meanwhile, extended producer responsibility should to be comprehensively implemented in the nickel-related industries to alleviate the environmental implications and nickel supply pressures from geo-mining.

[Value of radiographic assessment of lung edema score in evaluating the severity and prognosis of patients with acute respiratory distress syndrome].

OBJECTIVE: To explore the value of radiographic assessment of lung edema (RALE) score in evaluating the severity and prognosis of patients with acute respiratory distress syndrome (ARDS). METHODS: A retrospective study was conducted. Patients with ARDS admitted to the department of intensive care unit (ICU) of Affiliated Nantong Third Hospital of Nantong University from January 2016 to November 2020 were enrolled. Clinical data of those patients were collected, and two senior radiologists who did not know the outcome of the patients independently scored each chest radiograph, the mean value of which was taken as the RALE score. The patients were divided into death group and survival group according to the 28-day prognosis. The differences of the basic data, PaO2/FiO2, sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score and RALE score between groups were analyzed. ARDS patients were classified according to the Berlin standard and RALE scores were compared between groups. Then, the correlations between RALE score and PaO2/FiO2, SOFA score, APACHE II score were analyzed. The prognostic capacity of RALE score for 28-day prognosis of ARDS patients were analyzed by Kaplan-Meier survival curve. RESULTS: Of the 98 ARDS patients, 62 were included in the final analysis, 39 patients survived and 23 patients died. The 28-day mortality was 37.1%. Compared with the survival group, patients in the death group were older (years old: 72.83±12.21 vs. 64.44±14.68), had lower PaO2/FiO2 [mmHg (1 mmHg = 0.133 kPa): 122.66±48.32 vs. 150.26±50.40], and higher SOFA score and greater difference of RALE score between the third day and the first day after admission (D3-D1 RALE score) (SOFA score: 11.26±3.91 vs. 9.04±3.72, D3-D1 RALE score: 1.35±6.42 vs. -2.74±7.35), with statistically significant differences (all P < 0.05). However, there were no significant differences in gender, cause of ARDS, APACHE II score, and RALE scores on the first and the third day of admission (D1 RALE, D3 RALE) between the two groups. Among the 62 patients, there were 11 mild cases (17.7%), 36 moderate cases (58.1%), and 15 severe cases (24.2%). The D1 RALE score of patients with mild and moderate ARDS were lower than those of patients with severe ARDS (19.09±3.65, 22.58±6.79 vs. 27.07±5.23, both P < 0.05). Correlation analysis showed that D1 RALE score was negatively correlated with PaO2/FiO2 (r = -0.385, P = 0.002), and positively correlated with SOFA score and APACHE II score (r1 = 0.433, r2 = 0.442, both P < 0.001). Kaplan-Meier survival curve analysis showed that the 28-day survival rate of ARDS patients in D3-D1 RALE score ≥ -1 group was significantly higher than that in D3-D1 RALE score < -1 group (73.08% vs. 55.56%; log-rank test: χ2 = 3.979, P = 0.046). CONCLUSIONS: The RALE score is a simple and reliable non-invasive evaluation index, which can be used to evaluate the severity of ARDS patients. The difference of RALE score in early stage is helpful to identify ARDS patients with poor prognosis.

[Eco-efficiency change and its driving factors in Tongling City of Anhui Province].

This paper first applied material flow analysis (MFA) to construct three levels of regional eco-efficiency indicators, i.e., regional direct eco-efficiency (RDE), regional total eco-efficiency (RTE), and holistic eco-efficiency (HE), and adopted the newly developed data envelopment analysis (DEA) to evaluate the eco-efficiency of Tongling City during the period of 1990-2008. We also applied Malmquist productivity index (MPI) to explore the eco-efficiency change between two following years and its driving factors. The main results were summarized as 1) though the RDE of Tongling City in 1990-2008 kept an increasing trend, its mean eco-efficiency was not high (close to 0.8 in 80% of the years), being lower than that of the RTE and HE, and 2) the RDE change was closely relevant to the improvement in resource management and the technical input in environmental protection in recent years. In order to further improve the RDE of the City, it would be necessary to raise its eco-efficiency via expanding raw material input, reducing domestic extraction, promoting resources productivity, and taking more measures on environmental protection facilities construction.

Mueller matrix decomposition for polarized light assessment of biological tissues.

The Mueller matrix represents the transfer function of an optical system in its interactions with polarized light and its elements relate to specific biologically or clinically relevant properties. However, when many optical polarization effects occur simultaneously, the resulting matrix elements represent several "lumped" effects, thus hindering their unique interpretation. Currently, no methods exist to extract these individual properties in turbid media. Here, we present a novel application of a Mueller matrix decomposition methodology that achieves this objective. The methodology is validated theoretically via a novel polarized-light propagation model, and experimentally in tissue simulating phantoms. The potential of the approach is explored for two specific biomedical applications: monitoring of changes in myocardial tissues following regenerative stem cell therapy, through birefringence-induced retardation of the light's linear and circular polarizations, and non-invasive blood glucose measurements through chirality-induced rotation of the light's linear polarization. Results demonstrate potential for both applications.