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Background: Magnetocardiography (MCG) is a novel non-invasive technique that detects subtle magnetic fields generated by cardiomyocyte electrical activity, offering sensitive detection of myocardial ischemia. This study aimed to assess the ability of MCG to predict impaired myocardial perfusion using single-photon emission computed tomography (SPECT). Methods: A total of 112 patients with chest pain underwent SPECT and MCG scans, from which 65 MCG output parameters were analyzed. Using least absolute shrinkage and selection operator (LASSO) regression to screen for significant MCG variables, three machine learning models were established to detect impaired myocardial perfusion: random forest (RF), decision tree (DT), and support vector machine (SVM). The diagnostic performance was evaluated based on the sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: Five variables, the ratio of magnetic field amplitude at R-peak and positive T-peak (RoART+), R and T-peak magnetic field angle (RTA), maximum magnetic field angle (MAmax), maximum change in current angle (CCAmax), and change positive pole point area between the T-wave beginning and peak (CPPPATbp), were selected from 65 automatic output parameters. RTA emerged as the most critical variable in the RF, DT, and SVM models. All three models exhibited excellent diagnostic performance, with AUCs of 0.796, 0.780, and 0.804, respectively. While all models showed high sensitivity (RF = 0.870, DT = 0.826, SVM = 0.913), their specificity was comparatively lower (RF = 0.500, DT = 0.300, SVM = 0.100). Conclusions: Machine learning models utilizing five key MCG variables successfully predicted impaired myocardial perfusion, as confirmed by SPECT. These findings underscore the potential of MCG as a promising future screening tool for detecting impaired myocardial perfusion. Clinical Trial Registration: ChiCTR2200066942, https://www.chictr.org.cn/showproj.html?proj=187904.

Abstract Background Mental stress-induced myocardial ischemia (MSIMI) frequently occurs in patients with coronary artery disease (CAD), and is even more common in patients with co-occurring CAD and depression/anxiety. MSIMI appears to be a poor prognostic factor for CAD, but existing data on depression/anxiety patients are limited. Methods This cohort study will consecutively screen 2,647 CAD patients between 2023 and 2025. Included subjects will need to have received coronary revascularization and also have depression and/or anxiety at baseline. This study will enroll 360 subjects who meet the criteria. Two mental stress tests will be carried out in each patient at 1 month and 1 year timelines after coronary revascularization, using Stroop color word tests. MSIMI will be assessed by 99 m−Tc-sestamibi myocardial perfusion imaging. The endothelial function will be assessed by EndoPAT. Furthermore, we will dynamically monitor patients’ health and mental conditions every 3 months. The mean follow-up time will be 1 year. The primary endpoint is the major adverse cardiac events, a composite of all-cause death, cardiac death, myocardial infarction, stroke, or unplanned revascularization. Secondary endpoints will include overall health and mental conditions. The reproducibility of mental stress combined with myocardial perfusion for detecting MSIMI and comparisons between coronary stenosis and ischemic segments will also be included. Conclusions This cohort study will provide information on MSIMI outcomes in CAD patients who also have comorbid depression/anxiety after revascularization. In addition, understanding the long-term dynamics of MSIMI and the match between coronary stenosis and ischemia will provide insight into MSIMI mechanisms. Trail Registration ChiCTR2200055792, 2022.1.20, www.medresman.org.cn ;

Abstract Objective We sought to determine the association between mental stress-induced myocardial ischaemia (MSIMI) and quality of life (QoL) in patients with coronary artery disease (CAD) after coronary revascularization. Methods This cohort study involved patients with high-risk MSIMI who received coronary revascularization between Dec 2018 and Dec 2019. Patients who screened positive for depression/anxiety were enrolled in this study. Mental stress was induced by the Stroop Colour and Word Test 1 month after coronary revascularization. All participants underwent single photon emission computed tomography (SPECT) scans at rest and under mental stress. MSIMI was defined as the presence of four abnormal SPECT phenomena. QoL was assessed using the Seattle Angina Questionnaire (SAQ) prior to treatment and 1 month after coronary revascularization. Results Of the 1845 consecutive patients who received coronary revascularization, 590 (31.9%) had depression/anxiety, and 205 agreed to accept the mental stress test. During the average observation period of 33 days, 105 (51.2%) patients exhibited MSIMI. All SAQ subscales showed significant improvement, except for QoL, in the MSIMI group. The QoL score was lower (− 0.2 ± 32.7 vs. 13.1 ± 29.9, P = 0.005), and the proportion of deterioration in QoL was higher (50.5% vs. 31.9%, P = 0.010) in the MSIMI group than in the non-MSIMI group. Those with a deterioration in QoL had approximately twice the rate of MSIMI than those with an improvement in QoL (unadjusted OR: 2.019, 95% CI 1.122–3.634, P = 0.026; adjusted OR: 1.968, 95% CI 1.083–3.578, P = 0.017). Conclusion Among patients with CAD who received coronary revascularization and had depression/anxiety, deterioration in QoL increased the likelihood of MSIMI. Hence, our results indicate that deterioration in QoL is a predictor of MSIMI. Trail Registration ChiCTR2200055792, retrospectively registered, 2022.1.20, www.medresman.org.cn

Objective: Viability and functional assessments are recommended for indication and intervention for chronic coronary total occlusion (CTO). We aimed to evaluate myocardial viability and left ventricular (LV) functional status by using cardiovascular magnetic resonance (CMR) and to investigate the relationship between them and collaterals in patients with CTO.Materials and Methods: We enrolled 194 patients with one CTO artery as detected by coronary angiography. Patients were scheduled for CMR within 1 week after coronary angiography.Results: A total of 128 CTO territories (66%) showed scar based on late gadolinium enhancement (LGE) imaging. There were 1,112 segments in CTO territory, while only 198 segments (18%) subtended by the CTO artery showed transmural scar (i.e., >50% extent on LGE). Patients with viable myocardium had higher LV ejection fraction (LVEF) (56.7 ± 13.5% vs. 48.3 ± 15.4%, p < 0.001) than those with transmural scar. Angiographically, well-developed collaterals were found in 164 patients (85%). There was no significant correlation between collaterals and the presence of myocardial scar (p = 0.680) or between collaterals and LVEF (p = 0.191). Nevertheless, more segments with transmural scar were observed in patients with poorly-developed collaterals than in those with well-developed collaterals (25 vs. 17%, p = 0.010).Conclusion: Myocardial infarction detected by CMR is widespread among patients with CTO, yet only a bit of transmural myocardial scar was observed within CTO territory. Limited number of segments with transmural scar is associated with preserved LV function. Well-developed collaterals are not related to the prevalence of myocardial scar or systolic functioning, but could be related to reduce number of non-viable segments subtended by the CTO artery.

The development of international land–sea transport corridors has provided more convenient access to the sea for inland areas and promoted the improvement of transportation efficiency, environmental improvement, and the strengthening of international cooperation. However, the construction of international land–sea transport corridors has also intensified competition among the ports, which has extended from the local and regional to the national and even international levels. This paper explores the impact of international land–sea transport corridors on oligopolistic port competition between neighboring countries using the Hotelling model. By setting up the utility of the shipper’s port selection, the equilibrium price, market share, and profit of duopoly ports in neighboring countries are analyzed under different conditions of cross-border land transportation and maritime transportation. It is found that the high cross-border transportation cost of the international land–sea transport corridor is not conducive to increasing the market share of the overseas oligopolistic ports in the region. If the maritime transportation cost of overseas oligopoly ports is too high compared with domestic oligopoly ports, it will offset the land transport advantages brought by international land–sea transport corridors. The findings in this paper could provide support for strategic decision making in port markets and cross-border transport corridor development.

Abstract This paper develops a distributed cooperative control strategy (DCCS) to plan and optimize the collision‐free trajectory for the connected automated vehicle (CAV) at an isolated roundabout. The representation of the trajectories of CAVs is defined within a roundabout. The central angle and lane radius are used to indicate the location of vehicles, and the corresponding angular velocity is used to describe the vehicle's speed through the roundabout. This trajectory definition method simplifies the proposed problem into two parts: the trajectory optimization of each vehicle in a specific lane and the lane change coordination of CAVs in the roundabout. To solve the trajectory optimization problem, a mixed‐integer linear programming (MILP) model is formulated at the vehicle level to minimize the travel time and make the trajectory as smooth as possible. A model predictive control (MPC) framework is designed to coordinate lane‐change conflicts and push CAVs’ trajectories toward global optimization. The proposed framework integrates the vehicles’ trajectory optimization results so that all CAVs reach a consensus. Numerical experiments test the effect of the strategy in terms of traffic efficiency and mobility performance under different demand pattern scenarios. The results show that the proposed RA‐DCCS (Roundabout‐DCCS) can make all CAVs smooth and conflict‐free trajectories and enable vehicles to execute reasonable lane change decisions.

Restoration is the natural and intervention-assisted set of processes designed to promote and facilitate the recovery of an ecosystem that has been degraded, damaged, or destroyed. However, it can also have an adverse effect on the environment. Thus, assessing an ecological restoration project’s impact is crucial to determining its success and optimum management strategies. We performed a meta-analysis concerning the environmental outcomes during the years 2000–2015 resulting from the “Grain for Green” Project (GFGP) implementation in the Loess Plateau (LP). Data were gathered from 40 peer-reviewed English-language articles chosen from a pool of 332 articles. The results showed that, on average, GFGP increased forest coverage by 35.7% (95% CI [24.15–47.52%]), and grassland by 1.05% (95% CI [0.8–1.28%]). At the same time, GFGP has a positive impact on soil carbon (C) sequestration, net ecosystem production (NEP), and net primary production (NPP), from the years 2000 to 2015 by an average of 36% (95% CI [28.96–43.18%]), 22.7% (95% CI [9.10–36.79%]), and 13.5% (95% CI [9.44–17.354%]), respectively. Soil erosion, sediment load, runoff coefficient, and water yield were reduced by 13.3% (95% CI [0.27–25.76%]), 21.5% (95% CI [1.50–39.99%]), 22.4% (95% CI [5.28–40.45%]) and 43.3% (95% CI [27.03–82.86%]), respectively, from the years 2000 to 2015. Our results indicate that water supply decreased with the increase of vegetation coverage. Therefore, to balance the needs for green space, GFGP policies and strategies should recover, enhance, and sustain more resilient ecosystems.

The histone methyltransferase ASH1L plays a role in various diseases, including cancer, and has been validated as a therapeutic target; however, no inhibitors of ASH1L have been reported. Here the authors present small molecule inhibitors of ASH1L and demonstrate their on-target activity in leukemia cells and a mouse model of leukemia.

Abstract Vegetation restoration in desert areas has an important influence on soil carbon sequestration. To understand the long‐term effects of vegetation restoration on soil particle composition and carbon sequestration of different soil particles in semi‐arid deserts, we collected the topsoil of different types of vegetation restored for different periods at the southeast margin of Mu Us Desert and analyzed the soil organic carbon (SOC) and soil inorganic carbon (SIC) contents in soil particles of different sizes. The results demonstrated that after vegetation restoration, soil particles of 0.25 mm (5.23 and 2.25 g/kg). As for total SOC storage, it was positively correlated with the organic carbon storage of

Compost produced by straw and livestock and poultry manure under the action of micro-organisms is one of the main forms of organic alternative fertilizers at present. The present study explored the effects of compost substitution on soil greenhouse gas emissions, soil microbial community changes, and wheat yield to determine the best substitution ratio for reducing greenhouse gas emissions and soil microbial community changes and increasing wheat yield. Using the single-factor randomized block trial design, four treatments were employed, the characteristics of greenhouse gas emission, yield and yield components, and the changes of soil microbial community under different compost substitution ratio in the whole wheat growing season were determined by static box-gas chromatography. During the wheat season, both CO2 and N2O emissions were reduced, whereas CH4 emission was increased. That all treatments reduced the Global Warming Potential (GWP) and Greenhouse gas emission intensity (GHGI) in wheat season compared with T0. Compost substitution can alleviate the global warming potential to some extent. Under the condition of compost substitution, the wheat yield under T2 and T3 increased significantly compared with that under the control; however, the spike number and 1000-grain weight did not differ significantly among the treatments. When compost replacement was 30%, the yield was the highest. Under different ratios of compost substitution, the microbial communities mainly comprised Proteobacteria, Actinobacteria, Firmicutes, Patescibacteria, Chloroflexi, Acidobacteria, Bacteroidetes, Gemmatimonadetes, and Verrucomicrobia. The soil microbial community structure differed mainly due to the difference in the compost substitution ratio and was clustered into different groups. In conclusion, to achieve high wheat yield and low greenhouse gas emissions, compost replacement of 30% is the most reasonable means for soil improvement and fertilization.

Currently, signal control mode is the main control method of urban road intersections. Given that the traffic efficiency of road intersections is mainly affected by signal timing schemes, it is important to optimize signal timing at road intersections. Therefore, signal timing optimization methods of urban road intersections are explored in this work. When optimizing the timing of the signal at the intersections, the selection of optimization targets play an important role. At present, there are multiple objectives considered while designing signal timing scheme, including capacity, delays, and automobile exhaust. However, from the perspective of the traveler, they are more concerned about their own delay while passing intersections. In this work, we propose a novel multi-objective signal timing optimization model with goals of per capita delay, vehicle emissions, and intersection capacity. Considering the problem characteristics of the target problem, a meta-heuristic algorithm combining difference operator, which is based on Particle Swarm Optimization Algorithm, is developed. To test the validity of proposed approach, we applied it to real-world intersection signal timing problems in China. The results show that the optimized signal timing scheme obtained by the proposed algorithm is better than the realistic one. Also, the effectiveness of the developed algorithm is demonstrated by comparing it with other efficient algorithms.

Peroxisome proliferator-activated receptor-γ (PPARγ) is a master transcriptional regulator of adipogenesis. Hence, the identification of PPARγ coactivators should help reveal mechanisms controlling gene expression in adipose tissue development and physiology. We show that the non-coding RNA, Steroid receptor RNA Activator (SRA), associates with PPARγ and coactivates PPARγ-dependent reporter gene expression. Overexpression of SRA in ST2 mesenchymal precursor cells promotes their differentiation into adipocytes. Conversely, knockdown of endogenous SRA inhibits 3T3-L1 preadipocyte differentiation. Microarray analysis reveals hundreds of SRA-responsive genes in adipocytes, including genes involved in the cell cycle, and insulin and TNFα signaling pathways. Some functions of SRA may involve mechanisms other than coactivation of PPARγ. SRA in adipocytes increases both glucose uptake and phosphorylation of Akt and FOXO1 in response to insulin. SRA promotes S-phase entry during mitotic clonal expansion, decreases expression of the cyclin-dependent kinase inhibitors p21Cip1 and p27Kip1, and increases phosphorylation of Cdk1/Cdc2. SRA also inhibits the expression of adipocyte-related inflammatory genes and TNFα-induced phosphorylation of c-Jun NH(2)-terminal kinase. In conclusion, SRA enhances adipogenesis and adipocyte function through multiple pathways.