Renmin University of China

Evaluating the progress towards global and national net-zero emissions goals requires a thorough assessment of historical emission levels and future targets. However, little attention has been paid to the actual reporting by the parties themselves. In this analysis, we examine parties reporting historical emissions and removals for Agriculture, Forestry, and Other Land Use (AFOLU) sector, as well as their commitments outlined in the Nationally Determined Contributions (NDCs) and the Long-term Low Emission Development Strategies (LT-LEDS). Our analysis reveals a worldwide decrease in historical net AFOLU emissions, spanning from 1990 to 2020. This decline primarily relates to increased removals in the LULUCF sector in non-Annex I countries. In 1990, global AFOLU emissions were recorded at 4,400 MtCO2eq, but by 2020, they had been reduced to approximately 2,200 MtCO2eq. Looking ahead, countries have committed to further reduce global net AFOLU emissions by 600–1,700 MtCO2eq by 2030 compared to 2020 levels. Moreover, fulfilment of the LT-LEDS commitment can provide an additional reduction of 2,300–3,400 MtCO2eq. By integrating these datasets, the study provides insights into the progress towards achieving climate goals, highlighting the importance of land-based mitigation strategies. The findings reveal disparities between Annex I countries and Non-Annex I countries, particularly in the ambition of the commitments and objectives. As countries begin to submit their biennial transparency reports to the United Nations Framework Convention on Climate Change (UNFCCC), our recommendation is for countries to enhance transparency in reporting and communicating their progress of implementation.

Osteoarthritis (OA) is a degenerative musculoskeletal disease, featured by the destruction of articular cartilage. Oxidative stress, one of the drivers of the extracellular matrix degradation in cartilage, plays a vital role in OA pathogenesis. Senkyunolide I (SEI) is a natural compound with a prominent anti-oxidative stress property against multiple diseases. However, the protective effect of SEI on OA has not been explored. Here, we aimed to elucidate the effect of SEI on OA in vitro. Our results showed that SEI suppressed the expression of senescence-related markers such as P16 and P21 in IL-1β-induced chondrocytes. Besides, SEI alleviated IL-1β-induced the degradation of extracellular matrix (ECM) by suppressing the matrix proteinase like MMP13 and ATAMDS5 while promoting matrix synthesis regulated biomarkers like COL2A1 and ACAN in chondrocytes. Mechanically, the mitochondrial dysfunction and overproduction of intracellular reactive oxygen species (ROS) in chondrocytes induced by IL-1β were reversed by SEI. Additionally, the ROS inhibitor N-acetylcysteine (NAC) synergistically enhanced the biological effect of SEI in IL-1β-induced chondrocytes. Moreover, it was also found that the expression of Nrf2 and HO-1 was increased by the treatment of SEI in IL-1β-stimulated chondrocytes, while the Nrf2 inhibitor ML385 reversed the protective effect of SEI on OA chondrocytes. In conclusion, SEI could inhibit senescence, the degradation of ECM, and the production of ROS through activating Nrf2/ HO-1 signaling pathway, which provide a novel candidate for OA treatment.

Background With the accelerated development of the aging trend in Chinese society, the aging problem has become one of the key factors affecting sustainable economic and social development. Given the importance of controlling carbon emissions for achieving global climate goals and China’s economic transformation, studying the spatial and temporal effects of population aging on carbon emissions and their pathways of action is of great significance for formulating low-carbon development strategies adapted to an aging society. Objective This paper aims to explore the spatial-temporal effects of population aging on carbon emissions, identify the key pathways through which aging affects carbon emissions, and further explore the variability of these effects across different regions. The findings will provide theoretical support and empirical evidence for government departments to formulate policies to promote the coordinated development of a low-carbon society and an aging society. Methods Based on the panel data of 30 provinces in China from 2004 to 2022, this paper systematically investigates the impact of population aging on carbon emission intensity from both spatial and temporal dimensions by using the spatial Durbin model and the mediating effect model. The direct effect of aging on carbon emission intensity, the spatial spillover effect, and the indirect effect through mediating variables such as residents’ consumption, environmental regulation, and new urbanization are analyzed in depth. Results The study found that population aging in China has significant spatial and temporal effects on carbon emissions. From the spatial dimension, there is a significant spatial spillover effect of the effect of aging on carbon emissions, and aging reduces local carbon emissions but increases carbon emissions in adjacent regions. From the time dimension, the effect of aging on carbon emissions shows a stage characteristic, initially it will reduce carbon emissions, but with the deepening of aging, its effect may tend to weaken. In addition, this study identifies a number of key pathways through which aging affects carbon emissions, including reducing residential consumption, promoting new urbanization, and increasing the intensity of environmental regulations. Finally, this study explores the regional heterogeneity of the impact of aging on carbon emissions and its mechanism of action. Conclusion This study is instructive: first, the complex impact of population aging on carbon emissions should be fully recognized to formulate a comprehensive low-carbon development strategy; second, attention should be paid to the spatial spillover effect of aging on carbon emissions to strengthen inter-regional cooperation and coordination; and lastly, differentiated low-carbon policies should be formulated to address the characteristics of aging in different regions and stages in order to promote the synergistic development of a low-carbon society and an aging society.

Applying artificial intelligence techniques to flexibly model the binding between the ligand and protein has attracted extensive interest in recent years, but their applicability remains improved. In this study, we have developed CarsiDock-Flex, a novel two-step flexible docking paradigm that generates binding poses directly from predicted structures. CarsiDock-Flex consists of an equivariant deep learning-based model termed CarsiInduce to refine ESMFold-predicted protein pockets with the induction of specific ligands and our existing CarsiDock algorithm to redock the ligand into the induced binding pockets. Extensive evaluations demonstrate the effectiveness of CarsiInduce, which can successfully guide the transition of ESMFold-predicted pockets into their holo-like conformations for numerous cases, thus leading to the superior docking accuracy of CarsiDock-Flex even on unseen sequences. Overall, our approach offers a novel design for flexible modeling of protein–ligand binding poses, paving the way for a deeper understanding of protein–ligand interactions that account for protein flexibility.

The superconducting diode effect (SDE) is defined by the difference in the magnitude of critical currents applied in opposite directions. It has been observed in various superconducting systems and attracted high research interests. However, the operating temperature of the SDE is typically low and/or the sample structure is rather complex. For the potential applications in non-dissipative electronics, efficient superconducting diodes working in zero magnetic field with high operating temperatures and a simple configuration are highly desired. Here, we report the observation of a SDE under zero magnetic field with operating temperatures up to 72 K and efficiency as high as 22% at 53 K in high-transition-temperature (high-Tc) cuprate superconductor Bi2Sr2CaCu2O8+δ (BSCCO) flake devices. The rectification effect persists beyond two hundred sweeping cycles, confirming the stability of the superconducting diode. Our results offer promising developments for potential applications in non-dissipative electronics, and provide insights into the mechanism of field-free SDE and symmetry breakings in high-Tc superconductors.

The ever-escalating energy crisis of disruptions in the supply of fossil fuels suggests the need for alternative means with sustainable energy sources. Of these, biohydrogen stands out as promising because it is clean and efficient. Our research aims to provide strategies for fine-tuning the biohydrogen production process using the dark fermentation pathway of Clostridium. Thermocellum since it efficiently degrades cellulose under anaerobic conditions and has high-temperature tolerance, improving hydrogen yield. Sugarcane bagasse enforces this integration by providing abundant resources at little cost, which can support circular economies. However, such problems as ethanol toxicity to C. Thermocellum require genetic modifications to enhance production efficiency. The plasmid design overexpresses NADH-dependent [FeFe] hydrogenase, knocks out ethanol production pathways, and hence maximizes biohydrogen output. The design of the plasmid mainly uses Golden gate assembly and homologous recombination to achieve gene overexpression and deletion, and restriction sites were designed for virtual digestion in plasmid verification.

Purpose: Children with autism spectrum disorder (ASD) often show abnormal speech prosody. Tonal languages can pose more difficulties as speakers need to use acoustic cues to make lexical contrasts while encoding the focal function, but the acquisition of speech prosody of non-native languages, especially tonal languages has rarely been investigated. Methods: This study aims to fill in the aforementioned gap by studying prosodic focus-marking in Mandarin by native Cantonese-speaking children with ASD (n = 25), in comparison with their typically developing (TD) peers (n = 20) and native Mandarin-speaking children (n = 20). Natural prosodic marking of different types of focus was elicited by picture-based prompt questions, recorded and analyzed acoustically. Results: The autistic children made use of fewer acoustic cues and produced less evident on-focus expansion in these cues than TD, especially the native-Mandarin speaking peers. They also demonstrated a clear preference to on-focus expansion than to post-focus compression. These children, together with their native Cantonese-speaking peers, also hyper-performed in tone realization, prioritizing lexical prosody over focus marking. Such hyper-performance may further limit their use of prosodic cues in focus marking. However, the difficulties the autistic children faced in the acquisition of speech prosody in a non-native tone language, though found, are not more than those they face in their mother tongue. Conclusion: Multilingual exposure may help the autistic children master the use of some focus marking strategies though they still need interventions to help them to implement their focus-marking knowledge more sufficiently in both native and non-native languages.

Actuation is normally dramatically enhanced by introducing so much yarn fiber twist that the fiber becomes fully coiled. In contrast, we found that usefully high muscle strokes and contractile work capacities can be obtained for non-twisted MXene (Ti 3 C 2 T x ) fibers comprising MXene nanosheets that are stacked in the fiber direction. The MXene fiber artificial muscles are called MFAMs. We obtained MFAMs that have high modulus in both the radial and axial directions by spinning a solution containing MXene nanosheets dispersed in an aqueous cellulose solution. We observed a highly reversible muscle contraction of 21.0% for a temperature increase from 25° to 125°C. The tensile actuation of MFAMs mainly results from reversible hydrogen bond orientation change during heating, which decreases intra-sheet spacing. The MFAMs exhibited fast, stable actuation to multiple temperature-generating stimuli, which increases their applications in smart textiles, robotic arms, and robotic grippers.

Background and aims The inclusion of gaming disorder as a new diagnosis in the 11th revision of the International Statistical Classification of Diseases (ICD-11) has caused ongoing debate. This review aimed to summarise the potential neural mechanisms of gaming disorder and provide additional evidence for this debate. Methods We conducted a comprehensive literature review of gaming disorder, focusing on studies that investigated its clinical characteristics and neurobiological mechanisms. Based on this evidence, we further discuss gaming disorder as a psychiatric disorder. Results The present review demonstrated that the brain regions involved in gaming disorder are related to executive functioning (e.g., anterior cingulate cortex and dorsolateral prefrontal cortex), reward systems (e.g., striatum and orbitofrontal cortex), and emotional regulation (e.g., insula and amygdala). Despite the inclusion of gaming disorder in the ICD-11, the debate remains on the benefits and harms of classifying it as a mental health disorder. Opponents argue that the current manifestations that support gaming disorder as a psychiatric disorder remain inadequate, it could cause moral panic among healthy gamers, and that the label of gaming disorder is stigmatising. Discussion Evidence suggests that gaming disorder shares similar neurobiological alterations with other types of behavioural and substance-related addictions, which further supports gaming disorder as a behavioural addiction. Ongoing debates on whether gaming disorder is a psychiatric disorder push for further exploring the nature of gaming disorder and resolving this dilemma in the field.

In recent years, the incidence of neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis, has shown a steadily rising trend, which has posed a major challenge to the global public health. Traditional Chinese Medicine (TCM), with its multi-component and multi-target characteristics, offers a promising approach for the treatment of neurodegenerative diseases. However, it is difficult to comprehensively elucidate the complex mechanisms underlying TCM formulations. As an emerging systems biology approach, network pharmacology has provided a crucial tool for uncovering the multi-target mechanisms of TCM through high-throughput technologies, molecular docking, and network analysis. This paper reviews the advancements in the application of network pharmacology in treating neurodegenerative diseases with TCM, analyzes the current status of relevant databases and technological methods, discusses the limitations in the research, and proposes future directions to promote the modernization of TCM and the development of precision medicine. Keywords: Neurodegenerative diseases, Traditional Chinese Medicine, Network pharmacology, Therapeutic targets

Technology is increasingly prominent as a topic of philosophical and normative reflection, as recent technological advancements in areas such as artificial intelligence and climate technologies have demonstrated their capability to disrupt our existing social, political, and moral practices. Recently, there is a call to diversify philosophy of technology, a field which has so far largely failed to engage with philosophical traditions outside the United States and Europe. While there are an increasing number of works that have attempted to answer the call, they are primarily attempts to apply normative values and/or frameworks of specific philosophical and cultural traditions. These works have not delved extensively into the questions of technology in these philosophical and cultural traditions; in particular, they have yet to explore how these philosophical and cultural traditions conceive and construct human-technology relations, namely how humans and technology are—and should be—related. This essay distinguishes itself from other attempts to apply normative values and/or frameworks of specific philosophical and cultural traditions. Our aim is to offer a Confucian view of human-technology relations through reviving three Confucian ideas in early Confucianism, namely Creating Qi from the Images (zhi qi shang xiang 制器尚象), Evoking Moral Feelings through Things (yi gu xing wu 以故興物), and Embedding the Rites into Qi (cang li yu qi 藏禮於器). Constructing human-technology relations in the Confucian perspective will offer us an account of how Confucianism sees technology (co-)shaping our perception of and action in the world; it can also provide us with alternative ways to consider technology’s normative implications.

Background Prostate cancer (PCa) is the leading cause of cancer-related morbidity and mortality in men worldwide. An early and accurate diagnosis is crucial for effective treatment and prognosis. Traditional invasive procedures such as image-guided prostate biopsy often cause discomfort and complications, deterring some patients from undergoing these necessary tests. This study aimed to explore the feasibility and clinical value of using ultrasound super-resolution imaging (US SRI) for non-invasively assessing the microvessel characteristics of prostate lesion. Methods This study included 127 patients with prostate lesion who presented at Renmin Hospital of Wuhan University between November 2023 and June 2024 were included in this study. All the patients underwent transrectal US (TRUS), contrast-enhanced US (CEUS), and US SRI. CEUS parameters of time-intensity curve (TIC): arrival time (AT), rising time (RT), time to peak (TTP), peak intensity (PKI), falling time (FT), mean transit time (MTT), ascending slope (AS), descending slope (DS), D/A slope ratio (SR), and area under the TIC (AUC). US SRI parameters: microvessel density (MVD), microvessel diameter (D), microvessel velocity (V), microvessel tortuosity (T), and fractal number (FN), were analyzed and compared between prostate benign and malignant lesion. Results The tumor markers of prostate in the malignant group were all higher than those in the benign group, and the differences were statistically significant ( P < 0.001). The TIC parameters of CEUS revealed that the PKI, AS, DS, and AUC were significantly higher in the malignant group than in the benign group ( P < 0.001), whereas the RT, TTP and FT in the malignant group were significantly lower ( P < 0.001). Malignant lesion exhibited significantly higher MVD, larger D, faster V, greater T, and more complex FN than benign lesion ( P < 0.001). Conclusions US SRI is a promising non-invasive imaging modality that can provide detailed microvessel characteristics of prostate lesion, offering an advancement in the differential diagnosis for prostate lesion. And, US SRI may be a valuable tool in clinical practice with its ability to display and quantify microvessel with high precision.

Follicle count, a pivotal metric in the adjunct diagnosis of polycystic ovary syndrome (PCOS), is often underestimated when assessed via transvaginal ultrasonography compared to MRI. Nevertheless, the repeatability of follicle counting using traditional MR images is still compromised by motion artifacts or inadequate spatial resolution. In this prospective study involving 22 PCOS patients, we employed periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) and single-shot fast spin-echo (SSFSE) T2-weighted sequences to suppress motion artifacts in high-resolution ovarian MRI. Additionally, deep learning (DL) reconstruction was utilized to compensate noise in SSFSE imaging. We compared the performance of DL reconstruction SSFSE (SSFSE-DL) images with conventional reconstruction SSFSE (SSFSE-C) and PROPELLER images in follicle detection, employing qualitative indices (blurring artifacts, subjective noise, and conspicuity of follicles) and the repeatability of follicle number per ovary (FNPO) assessment. Despite similar subjective noise between SSFSE-DL and PROPELLER as assessed by one observer, SSFSE-DL images outperformed SSFSE-C and PROPELLER images across all three qualitative indices, resulting in enhanced repeatability in FNPO assessment. These results highlighted the potential of DL reconstruction high-resolution SSFSE imaging as a more dependable method for identifying polycystic ovary, thus facilitating more accurate diagnosis of PCOS in future clinical practices.

Background The myriad implications of heavy metal pollution on human health have garnered substantial attention within the academic domain. Nevertheless, a notable research gap persists, as there is currently insufficient direct investigation elucidating the intricate interplay between nickel exposure and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD). Methods The data utilized in this study was sourced from the National Health and Nutrition Examination Survey 2017–2020. Hepatic steatosis was evaluated utilizing controlled attenuation parameters (CAP), and nickel exposure level was reflected by urinary nickel concentration. To analyze the association between nickel exposure and MASLD, three multiple logistic regression models with weights were developed. Furthermore, a mediation analysis was performed to examine insulin resistance’s potential mediating role. Results There were a total of 1,187 participants in the study, of which 548 (46.17%) had MASLD. MASLD individuals had a significantly higher urinary nickel concentration than non-MASLD individuals (P = 0.008). After accounting for demographic factors, biochemical indicators, and metabolic conditions, the odds ratio (OR) and 95% confidence interval (CI) for MASLD were 2.10 (1.09–4.05) per onefold increase in urinary nickel concentration and 2.61 (1.22–5.55) for the highest tertile versus the lowest tertile. Insulin resistance was found to mediate approximately 73.69% of the total association between nickel exposure and MASLD (P = 0.004). Conclusions Nickel exposure was independently associated with the prevalence of MASLD. Excessive exposure to nickel may promote the occurrence of MASLD by enhancing insulin resistance.

Ubiquitin-specific protease 25 (USP25), a member of the deubiquitination family, plays an important role in protein ubiquitination, degradation, inflammation, and immune regulation. However, the role and mechanism of USP25 in ulcerative colitis (UC) remain unclear. To study the role and mechanism of USP25 in UC, bioinformatics analysis and research are conducted on clinical patients with UC, Usp25 knockout ( Usp25 −/− ) mice, intestinal epithelial cell-specific knockout signal transducer and activator of transcription 3 ( Stat3) (Villin-Cre Stat3 fl/fl ) mice, and human colonic epithelial cells. Results show that the expression of USP25 is decreased in patients with UC and mice with dextran sulfate sodium salt (DSS)-induced colitis and that USP25 deficiency exacerbates UC by destroying the intestinal mucosal barrier, however, overexpression of USP25 can alleviate colitis. Mechanistically, USP25 reduces the degradation of phosphor-STAT3 Y705 at lysine 409 by catalyzing K48-linked deubiquitination. Further, this study demonstrates the aggravation of DSS-induced colitis by intestinal epithelial cell-specific knockout Stat3 in mice, while Stat3 overexpression by adeno-associated virus attenuates colitis in DSS-induced Usp25 −/− mice. Together, these results showed that USP25 ameliorates UC by regulating the degradation of phosphor-STAT3. Collectively, USP25 is a specific STAT3 regulator that can be targeted in UC.