Impact of battery electric vehicle usage on air quality in three Chinese first-tier cities.

China, the world leader in automobile production and sales, confronts the challenge of transportation emissions, which account for roughly 10% of its total carbon emissions. This study, utilizing real-world vehicle data from three major Chinese cities, assesses the impact of Battery Electric Vehicles (BEVs) on air quality. Our analysis reveals that BEVs, when replacing gasoline vehicles in their operational phase, significantly reduce emissions, with reductions ranging from 8.72 to 85.71 kg of CO2 per vehicle monthly. The average monthly reduction rate is 9.47%, though this effect is less pronounced during winter. Advanced BEVs, characterized by higher efficiency and newer technology, exhibit greater emission reduction benefits. While private BEVs generally contribute positively to environmental outcomes, taxi BEVs, due to their intensive usage patterns, show less environmental advantage and may sometimes worsen air quality. Looking ahead, we project substantial emission reductions from the replacement of gasoline vehicles with electric alternatives over the next decade. Policymakers are urged to adopt proactive measures, focusing on promoting medium to large electric vehicles and fostering the use of private and ride-hailing electric vehicles.

The overseas background of Chinese returnee energy scientists.

In an attempt to uncover the international affiliations impacting the Chinese energy sector, this study applies the method of Curriculum Vitae Analysis (CV Analysis) to explore the overseas background of Chinese returnee energy scientists. The investigation focuses on a representative group of scientists hailing from China's distinguished "985" project research universities. From the available online CVs, we gathered data and identified the United States, Japan, and the United Kingdom as the primary host countries that facilitate the growth and learning of these energy scientists. We also noted a concurrent surge in scientists return to China after acquiring academic and professional experience in prestigious global universities. This study thereby illuminates the evolving patterns of Chinese energy scientists' global mobility and return migration.

A Highly Sensitive Electrochemical Sensor for Capsaicinoids and Its Application in the Identification of Illegal Cooking Oil.

Capsaicinoids, mostly from chili peppers, are widely used in daily life. Capsaicinoids are considered to be markers for the identification of illegal cooking oil (ICO), which is a serious threat to public health. The identification of capsaicinoids can help reveal food-related fraud, thereby safeguarding consumers' health. Here, a novel and ultrasensitive method was established with a signal amplification strategy for the detection of capsaicinoids. AuNPs@Fe3O4 nanocomposites were functionalized with 4-aminothiophenol (4-atp). After diazotization, 4-atp on AuNPs@Fe3O4 reacted with capsaicinoids and formed capsaicinoids-azo-atp-AuNPs@Fe3O4. Ultimately, capsaicinoids-azo-atp-AuNPs@Fe3O4 was dropped onto the surface of a screen-printed carbon electrode (SPCE) and detected via the differential pulse voltammetry (DPV) method. AuNPs@Fe3O4 nanocomposites increased the specific surface area of the electrode. Moreover, the diazotization-coupling reaction enriched the analytes on the electrode surface. Liquid-liquid extraction was used for sample pretreatment. Under a pH value of 9.0 and concentration of 0.20 mol/L for the supporting electrolyte, the linearity of capsaicinoids in ICO is from 0.10 to 10.00 ng/mL, and the limit of detection (S/N = 3) is 0.05 ng/mL. This method is ultra-sensitive, reliable, and cost-effective for the detection of capsaicinoids. Herein, this method provides a promising tool for the identification of ICO.

Port resilience in the post-COVID-19 era.

With the COVID-19 pandemic evitably becoming the "New Normality" and will continue to impact human society much longer than anticipated, it is essential to explore effective measures that global ports can take to adapt to unexpected challenges in the post-COVID-19 era. This paper builds a port resilience index system based on the entropy weight method from a multistakeholder's view. We utilize the port resilience index system for 22 major Chinese ports during 2020-2021. We further investigate the direct impact of port resilience on port governance performance. Our results indicate that resiliently-governed ports can guarantee higher port throughput while sustaining lower congestion when facing challenges from the global pandemic.

The impact of COVID-19 on reducing carbon emissions: From the angle of international student mobility.

Global carbon emissions have been rapidly increasing in recent years, negatively influencing the global climate. Thereby, it is urgent to reduce carbon emissions and achieve carbon neutrality. During the COVID-19 pandemic, strict quarantine plans have led to a sharp decline in the number of international student flights, which will, in turn, decrease aviation carbon emissions. This study predicts the carbon emission reduction caused by the decrease in international student mobility during the COVID-19. The result shows that the carbon emission was about 1326 Gg, a staggering value equivalent to two-thirds of the carbon emissions of the UK's agriculture sector in a year. Furthermore, this study analyzes the implications of current mitigation policies and makes recommendations for future strategies.

Gene mutations of esophageal squamous cell carcinoma based on next-generation sequencing.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive cancers without effective therapy. To explore potential molecular targets in ESCC, we quantified the mutation spectrum and explored the relationship between gene mutation and clinicopathological characteristics and programmed death-ligand 1 (PD-L1) expression. METHODS: Between 2015 and 2019, 29 surgically resected ESCC tissues and adjacent normal tissues from the Fourth Hospital of Hebei Medical University were subjected to targeted next-generation sequencing. The expression levels of PD-L1 were detected by immunohistochemistry. Mutational signatures were extracted from the mutation count matrix by using non-negative matrix factorization. The relationship between detected genomic alterations and clinicopathological characteristics and PD-L1 expression was estimated by Spearman rank correlation analysis. RESULTS: The most frequently mutated gene was TP53 (96.6%, 28/29), followed by NOTCH1 (27.6%, 8/29), EP300 (17.2%, 5/29), and KMT2C (17.2%, 5/29). The most frequently copy number amplified and deleted genes were CCND1/FGF3/FGF4/FGF19 (41.4%, 12/29) and CDKN2A/2B (10.3%, 3/29). By quantifying the contribution of the mutational signatures to the mutation spectrum, we found that the contribution of signature 1, signature 2, signature 10, signature 12, signature 13, and signature 17 was relatively high. Further analysis revealed genetic variants associated with cell cycle, chromatin modification, Notch, and Janus kinase-signal transducer and activator of transcription signaling pathways, which may be key pathways in the development and progression of ESCC. Evaluation of PD-L1 expression in samples showed that 13.8% (4/29) of samples had tumor proportion score ≥1%. 17.2% (5/29) of patients had tumor mutation burden (TMB) above 10 mut/Mb. All samples exhibited microsatellite stability. TMB was significantly associated with lymph node metastasis (r = 0.468, P = 0.010), but not significantly associated with PD-L1 expression (r = 0.246, P = 0.198). There was no significant correlation between PD-L1 expression and detected gene mutations (all P > 0.05). CONCLUSION: Our research initially constructed gene mutation profile related to surgically resected ESCC in high-incidence areas to explore the mechanism underlying ESCC development and potential therapeutic targets.

A sensitive electrochemical method for indole based on the signal amplification strategy by gold/iron-oxide composite nanoparticles.

Indole is a major metabolite of tryptophan, which plays an important role in the intestinal microecological balance and human physiological activities. The determination of indole becomes important for its researches. So, it is urgent to establish a sensitive and cost-effective method for indole detection. Herein, a sensitive electrochemical method was constructed to determine the concentration of indole using screen-printed carbon electrode (SPCE) with the signal amplification strategy by gold/iron-oxide composite nanoparticles (Au/Fe3O4). Au/Fe3O4 nanoparticles were successfully synthesized under the irradiation by high-energy electron beams. 4-aminothiophenol (4-ATP) was connected to Au/Fe3O4 via Au-S bond. And then NaNO2 reacted with 4-ATP to form the azo bond, which could form the final product of Au/Fe3O4@ATP-azo-indole by the coupling reaction. Thus, the concentration of indole was detected by the electrochemical signal produced by Au/Fe3O4@ATP-azo-indole indirectly. The detection sensitivity was greatly improved by the large specific surface area provided by Au/Fe3O4 after the modification. The linear range of indole was from 0.50 to 120.00 µg L-1 and the limit of detection (LOD) was as low as 0.10 µg L-1 (S/N = 3). Furthermore, the developed method exhibited acceptable intra-day and inter-day precisions with the coefficient of variations (CV) less than 4.9% and 8.2%, respectively. And the recoveries were from 97.2% to 105.4%. An innovative, sensitive, cost-effective method was established for indole determination in human plasma matrix in this manuscript, which provides a promising way for indole detection in conventional laboratories.

A novel electrochemical biosensor for ultrasensitive detection of serum total bile acids based on enzymatic reaction combined with the double oxidation circular amplification strategy.

Serum total bile acids (TBA) level is used as a sensitive and reliable index for hepatobiliary diseases in clinics. Herein, a novel electrochemical biosensor was fabricated using enzymatic reaction coupling with the double oxidation circular amplification strategy for the detection of human serum TBA. With the catalysis of 3α-hydroxysteroid dehydrogenase (3α-HSD), 3α-bile acids reacted specifically with nicotinamide adenine dinucleotide (NAD+). And then, the reduced nicotinamide adenine dinucleotide (NADH) was produced. After that, the NADH reacted with the electron mediator of tris(2,2'-bipyridine) ruthenium(Ⅲ) (Ru(bpy)33+), which was then transformed to Ru(bpy)32+. Ultimately, Ru(bpy)32+ was further oxidized to Ru(bpy)33+ under a certain voltage, which was detected by the chronoamperometry assay. The detection was performed using a disposable unmodified screen-printed carbon electrode (SPCE) without sample preparation. The proposed biosensor showed high sensitivity and accuracy with the linear range from 5.0 to 150.0 pmol/L in 106-fold dilution serum. The established method had a good correlation with the enzymatic cycling method (r = 0.9372, P < 0.001, n = 72) commonly used in clinic. The electrochemical biosensor is simple, ultrasensitive and without sample pretreatment, showing great potential for point-of-care testing (POCT) of serum TBA in clinical samples. In addition, the biosensor is cost-effective with a small volume of samples, especially suitable for those who have difficulties in blood collection, such as infants, children and some small animals.

An electrochemical sensor for indole in plasma based on MWCNTs-chitosan modified screen-printed carbon electrode.

Indole is an essential metabolite in intestinal tract. The dysregulation of plasma indole concentration occurred in various diseases. In this study, the indole in plasma was determined directly using electrochemical sensor with multiwall carbon nanotubes-chitosan (MWCNTs-CS) modified screen-printed carbon electrode (SPCE). The electrochemical behavior of indole was elucidated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) on the MWCNTs-CS composites modified SPCE (MWCNTs-CS/SPCE). The results showed that the current responses of indole improved greatly due to the high catalytic activity and electron transfer reaction of nano-composites. Under the optimized conditions, the linear range of indole was from 5 to 100µgL-1 with the detection limit of 0.5µgL-1 (S/N = 3). This novel electrochemical sensor exhibited acceptable accuracies and precisions with the variations less than 7.3% and 9.0%, respectively. Furthermore, high performance liquid chromatography (HPLC) method was utilized to compare with the established electrochemical method for the determination of indole in plasma. The results showed a high correlation between the two methods. At last, the electrochemical sensor was successfully applied to detect the level of indole in plasma samples with satisfactory selectivity and sensitivity. The concentrations of plasma indole in healthy pregnant women and gestational diabetes mellitus (GDM) patients were 5.3 (4.1-7.0)µgL-1 and 7.2 (4.5-9.4)µgL-1, respectively.