Browse Articles

Regulation of enzymatic lipid peroxidation in osteoblasts protects against postmenopausal osteoporosis

Carbon information disclosure and corporate financial performance—Empirical evidence based on heavily polluting industries in China

Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China’s determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms. Although this has increased the economic burden of the firms to a certain extent, carbon information disclosure reduces the degree of information asymmetry and also obtains the support of the government, which improves the financial performance of the firms. Based on the data of A-share listed companies in Shanghai and Shenzhen in the heavy pollution industry in 2013–2023, this paper analyzes the relationship between carbon information disclosure, and corporate financial performance according to signaling theory, rent-seeking theory, and sustainable development theory. It is found that enhanced corporate carbon disclosure can significantly improve corporate financial performance, and the main effect is realized through reducing debt financing costs and increasing the proportion of institutional investors’ shareholding. In the heterogeneity analysis, this paper finds that the main effect is more significant in the samples of firms located in the western region and the central region. Based on existing research, this paper deepens the study of the relationship between carbon disclosure and corporate financial performance. By integrating the multiple perspectives of signaling theory, rent-seeking theory and sustainable development theory, this paper systematically analyzes how creditors, institutional investors and other stakeholders play a role in the dynamic interaction between carbon disclosure and corporate financial performance, and reveals the motives and mechanisms behind the behaviors of these stakeholders. In order to further refine the analysis path, this paper constructs an intermediary model in order to deconstruct the deep logic of the path and mechanism through which carbon disclosure indirectly affects corporate financial performance. This model not only enhances the theoretical explanatory power, but also provides a more refined analytical framework for empirical testing, which helps to reveal the “black box” mechanism of carbon disclosure’s impact on corporate financial performance. In addition, in view of China’s vast territory and the uneven level of economic development between regions, this paper adopts a differentiated analysis strategy, based on the economic characteristics of the regions where the heavy polluters are located, and divides the whole sample into three sub-samples for independent regression analysis. This heterogeneity test incorporates inter-regional development differences into the scope of analysis, making the research conclusions more geographically specific and policy-guiding significance. By comparing and analyzing the differences in the impact of carbon disclosure on the financial performance of enterprises in different regions, this paper provides a reference for the government to formulate differentiated carbon disclosure policies in the future, accurately promote the construction of the carbon trading market, and efficiently achieve the carbon emission reduction targets at the national level.

No significant relationship found between spontaneous motor tempo, heartbeat, and individual alpha frequency: an analysis of internal tempos

Unidirectional MCM translocation away from ORC drives origin licensing

Abstract The MCM motor of the eukaryotic replicative helicase is loaded as a double hexamer onto DNA by the Origin Recognition Complex (ORC), Cdc6, and Cdt1. ATP binding supports formation of the ORC-Cdc6-Cdt1-MCM (OCCM) helicase-recruitment complex where ORC-Cdc6 and one MCM hexamer form two juxtaposed rings around duplex DNA. ATP hydrolysis by MCM completes MCM loading but the mechanism is unknown. Here, we used cryo-EM to characterise helicase loading with ATPase-dead Arginine Finger variants of the six MCM subunits. We report the structure of two MCM complexes with different DNA grips, stalled as they mature to loaded MCM. The Mcm2 Arginine Finger-variant stabilises DNA binding by Mcm2 away from ORC/Cdc6. The Arginine Finger-variant of the neighbouring Mcm5 subunit stabilises DNA engagement by Mcm5 downstream of the Mcm2 binding site. Cdc6 and Orc1 progressively disengage from ORC as MCM translocates along DNA. We observe that duplex DNA translocation by MCM involves a set of leading-strand contacts by the pre-sensor 1 ATPase hairpins and lagging-strand contacts by the helix-2-insert hairpins. Mutating any of the MCM residues involved impairs high-salt resistant DNA binding in vitro and double-hexamer formation assessed by electron microscopy. Thus, ATPase-powered duplex DNA translocation away from ORC underlies MCM loading.

Impact of emergency department overcrowding on the occurrence of in-hospital cardiac arrest

We aimed to determine whether emergency department (ED) overcrowding affects the occurrence of in-hospital cardiac arrest (IHCA) requiring resuscitation in the ED. This retrospective study was conducted in the ED of a single hospital. We applied the propensity score-matching method to adjust for differences in clinical characteristics in patients who visited the ED during overcrowded conditions. The indicators of overcrowding were: the total number of patients, number of patients undergoing treatment, and number of boarded patients awaiting hospital admission at the time of a patient’s arrival. We defined the existence of ED overcrowding based on the 75%, 80%, and 90% thresholds of each indicator. We included 153,353 patients, and 160 cases of IHCA occurred, showing an incidence rate of 0.10%. The IHCA incidence rate increased during overcrowding, as indicated by the total number of patients and the number of boarded patients rising to 0.15% and 0.17%, respectively, at the 90% threshold (p = 0.0407 and 0.0203, respectively). The IHCA incidence rate did not increase during overcrowding based on the number of patients undergoing treatment. In the comparison conducted after propensity score matching, the incidence of IHCA was significantly higher in the overcrowding group than in the non-overcrowding group, indicated by 80% boarded patients (0.15% vs. 0.08%, p = 0.0222). The logistic regression results indicated that both the full-study and propensity score-matched cohorts showed a tendency for increased IHCA during overcrowding, as indicated by the total number of patients and number of boarded patients. The number of patients undergoing treatment did not affect the occurrence of IHCA. Although this needs to be confirmed in larger studies, we found in this study that ED overcrowding, particularly blocked access, tends to increase the incidence of IHCA requiring resuscitation in the ED. This suggests that to protect patient safety in ED overcrowding, it is essential for the entire hospital to make concerted efforts to maintain the flow of patients in the ED.

Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring

Thermoelectric porous laser-induced graphene-based strain-temperature decoupling and self-powered sensing

At what cycle threshold level are dogs able to detect SARS-CoV-2 in humans?

Dogs can discriminate between people infected with SARS-CoV-2 from those uninfected, although their results vary depending on the settings in which they are exposed to infected individuals or samples of urine, sweat or saliva. This variability likely depends on the viral load of infected people, which may be closely associated with physiological changes in infected patients. Determining this viral load is challenging, and a practical approach is to use the cycle threshold (Ct) value of a RT-qPCR test. The hypothesis was that dogs should have a specific Ct range at which they could detect people infected with SARS-CoV-2. Therefore, the objective was to determine this Ct range. Sweat samples and epidemiological data were collected from 89 infected and 289 non-infected individuals at real life settings (e.g. health centers, offices, football fields). To determine each person’s infection status, the Norgen Biotek kit for RT-qPCR was used; targeting the N1 and N2 regions of the SARS-CoV-2 nucleocapsid N gene. The performance of 11 trained dogs was evaluated on sweat samples of 379 individuals to determine their sensitivity and specificity (± 95% Confidence Intervals; CI) in detecting SARS-CoV-2 infections. Additionally, the SARS-CoV-2 viral load was calculated from Ct values using a reference curve, and the Ct range at which dogs showed optimal performance was determined. Six dogs exhibited a marginal performance, as their sensitivity 95% CI overlapped with the region of randomness (50%). The remaining five dogs demonstrated sensitivity values between 67% and 87%, with none of their 95% CIs overlapping the randomness region. Regarding specificity, three dogs showed values between 87% and 92%, while all other dogs exhibited values of ≥ 90%. Dogs demonstrated higher detection accuracy in a range of Ct values between 18.49 and 29.17 for the N1 region and between 24.07 and 26.69 for the N2 region of the SARS-CoV-2 nucleocapsid gene. Detection significantly decreases for Ct values greater than 30 or less than 16, indicating an optimal range in which dogs are most effective. These performance values concur well with those reported for commercial rapid antigen tests for detecting SARS-CoV-2. Consequently, it is considered that using properly trained animals could offer a viable option to supplement existing diagnostic methods, allowing for rapid diagnosis while optimizing time and economic resources. Moreover, this approach is ecologically sustainable, as it generates less waste compared to the use of rapid tests, while continuing to confirm positive cases.

Transcriptome and DNA methylation analysis of the goat pineal gland during puberty

Discordance, accuracy and reproducibility study of pathologists’ diagnosis of melanoma and melanocytic tumors

Abstract Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata. Complete agreement is achieved in 53.5% of cases (424/792), and a majority vote ( ≥ five pathologists) in 90.9% (720/792). Considerable discordance is observed for non-invasive melanomas (complete agreement in only 10/73 cases). The expert panel disagrees with the local pathologists’ and dermatologists’ diagnoses in 14.9% and 33.5% of cases, respectively. This variability highlights the diagnostic challenges of early-stage melanomas and the need to reconsider how ground truth is established in routine care and AI research. Including at least two pathologists or virtual panels may contribute to more consistent diagnostic results.

Evaluating and upgrading the performance of a bridge network structure with Rayleigh distribution lifetimes

In this work, bridge network model with Rayleigh distribution lifetimes is used. Two main techniques are calculated to upgrade this model: reduction and redundancy techniques. In order to compare the effectiveness of the various approaches, the survival function, the mean time to failure and gamma-fractiles for the original and upgraded model are calculated. Finally, we analyze comprehensively a computer simulation example to distingue between the methods. The numerical simulations were done in Mathematica which indicated that the upgraded system performs better than the original one and the best technique is by cold duplication.

Investigating the impact of Multiwalled Carbon Nanotubes exposure on enzymatic activities and histopathological variations in Swiss albino mice

Energy and climate policy implications on the deployment of low-carbon ammonia technologies

Abstract The economic feasibility of low-carbon ammonia production pathways, such as steam methane reforming with carbon capture and storage, biomass gasification, and electrolysis, is assessed under various policy frameworks, including subsidies, carbon pricing, and renewable hydrogen regulations. Here, we show that employing a stochastic techno-economic analysis at the plant level and a net present value approach under the US Inflation Reduction Act reveals that carbon capture and biomass pathways demonstrate strong economic potential due to cost-effectiveness and minimal public support needs. Conversely, the electrolytic pathway faces significant economic challenges due to higher costs and lower efficiency. We conclude that efficient decarbonization of ammonia production requires adapting the Haber-Bosch process for variable bioenergy quality, ensuring safe CO 2 transport and storage, advancing research to lower costs and improve efficiency in renewable energy and storage technologies, as well as creating a technologically neutral policy framework.

Establishing thresholds for swing transparency at the knee during gait to inform exoskeleton design

Knee exoskeletons have been developed to assist, stabilize, or improve human movement or recovery. However, exoskeleton designers must implement transparency (i.e., get out of the way) modes during the swing phase of locomotor tasks to avoid impeding movement. The problem is that it is not understood how sensitive people are to small knee torques or what level of knee impedance is acceptable (sufficiently transparent) during swing phase. Here, we (i) characterized the biomechanical consequences of knee stiffness and damping during swing, and (ii) leveraged user perceptions of being impeded and toe clearance to define transparency thresholds, below which the participants were sufficiently unimpeded during the swing phase of gait. We conducted a series of human subject experiments that involved walking and stair ascent/descent while wearing a modified knee brace with five stiffness values ranging from 0 to 4 Nm/rad and five damping values ranging from 0 to 0.77 Nm/rad/s. We measured changes to lower limb kinematics, knee flexor muscle activity, and participants’ perception of being impeded during swing. Kinematics, muscle activity, and perceived impedance all changed in response to added stiffness and damping. For stiffness, we found the median transparency thresholds for walking and stairs to be 1.76 Nm/rad and 2.95 Nm/rad, respectively, which corresponds to peak knee moments during swing of around 2.3 and 5 Nm. For damping, we found the median transparency threshold for walking and stairs to be about the same, 0.29 Nm/rad/s, which corresponds to peak knee moments during swing of around 2.3 Nm. These values provide useful benchmarks for defining quantitative design requirements for knee exoskeletons intended for locomotor activities.

Exploration of linear and interpretable models for quantification of cell parameters via contactless short-wave infrared hyperspectral sensing

Multidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points

The impact of health risk communication on self-perceived health and worry of targeted groups: Lessons from the Swedish COVID-19 response

Background The Swedish COVID-19 strategy aimed to protect vulnerable groups through targeted measures, categorizing individuals aged 70 and above as high-risk. This study examines the impact of such group-based risk assessments on subjective health and virus-related concerns among older adults. Methods We analyzed survey data from the SOM Institute for 68- to 71-year-olds in 2019 (N = 684) and 2020 (N = 726). Using ordered logit regression, we compared perceived health and virus-related concerns between individuals just below (68–69 years) and just above (70–71 years) the high-risk age threshold, controlling for demographic factors. Results In 2020, 70-year-olds reported significantly lower perceived health compared to their 69-year-old peers, a difference not observed in 2019. Furthermore, 70-year-olds exhibited significantly higher virus-related concerns than their slightly younger counterparts. These patterns persisted when expanding the analysis to include individuals aged 68 and 71. Conclusion Our findings suggest that the Swedish COVID-19 strategy, while aimed at protecting individuals aged 70 and over, may have inadvertently increased perceived vulnerability and health concerns within this group. Conversely, those just below the high-risk age threshold reported better health and lower virus-related concerns, highlighting potential unintended psychological consequences of age-based risk communication.

Curcumin mimics of potential chemoprevention with NQO1 induction properties

Abstract Chemoprevention is one of the accessible strategies for preventing, delaying or reversing cancer processing utilizing chemical intervention of carcinogenesis. NAD(P)H quinone oxidoreductase 1 (NQO1) is a xenobiotic metabolizing cytosolic enzyme/protein with important functional properties towards oxidation stress, supporting its ability in detoxification/chemoprotective role. A set of 3,5-diylidene-4-piperidones (as curcumin mimics) bearing alkyl sulfonyl group were synthesized with potential NQO1 induction properties. Compounds 5ab (R = 2-MeOC6H4, R’ = Me) and 5ac (R = 2-MeOC6H4, R’ = Et) are the most promising agents synthesized (% induction of NQO1 = 51.562, 45.793) relative to that of 4’-bromoflavone (4’-BF, reference standard) at 10 µM. LPS-induced iNOS production in RAW264.7 macrophages of the most promising agents discovered (5ab and 5ac) displayed concentration-dependent with comparable activities to the reference anti-inflammatory drug indomethacin. Molecular modeling studies (including QSAR, molecular docking and molecular dynamics) were accessed supporting the observed biological profiles.

Structural basis for metal ion transport by the human SLC11 proteins DMT1 and NRAMP1

Abstract Iron and manganese are essential nutrients whose transport across membranes is catalyzed by members of the SLC11 family. In humans, this protein family contains two paralogs, the ubiquitously expressed DMT1, which is involved in the uptake and distribution of Fe2+ and Mn2+, and NRAMP1, which participates in the resistance against infections and nutrient recycling. Despite previous studies contributing to our mechanistic understanding of the family, the structures of human SLC11 proteins and their relationship to functional properties have remained elusive. Here we describe the cryo-electron microscopy structures of DMT1 and NRAMP1 and relate them to their functional properties. We show that both proteins catalyze selective metal ion transport coupled to the symport of H+, but additionally also mediate uncoupled H+ flux. Their structures, while sharing general properties with known prokaryotic homologs, display distinct features that lead to stronger transition metal ion selectivity.

Exploration and verification of the therapeutic mechanism of shenfu injection in sepsis-induced myocardial injury

Background Shenfu injection (SFI), derived from a traditional Chinese medicine (TCM) prescription, is an effective drug for the treatment of sepsis-induced myocardial injury (SIMI) with good efficacy, but its exact therapeutic mechanism remains unclear. Methods SwissTargetPrediction and GeneCards database were used to obtain relevant targets for SFI and SIMI. STRING 11.5 and MCODE were used to analyse potential therapeutic targets for SFI. DAVID 6.8 database was used to perform enrichment analysis. In addition, the SIMI model was constructed by cecal ligation and puncture (CLP) on Sprague Dawley rats and the related protein expression levels were verified by AutoDock Vina 1.1.2 and experiment. Results SFI has a total of 10 main active compounds and treats SIMI through 52 potential targets, among which LGALS3, STAT3, FGF1, and AKT1 were the core targets for treatment. Based on enrichment analysis, STAT3, FGF1, and AKT1 in the core targets were experimentally validated. The experimental results showed that SFI effectively ameliorated the inflammatory response and myocardial injury and inhibited apoptosis in SIMI. And SFI improved SIMI by decreasing caspase-9, STAT3 and phospho-AKT1 (p-AKT1) expression, and enhancing FGF1 expressions. Conclusions This study showed that SFI effectively reduced the expression of caspase-9, STAT3 and p-AKT1, enhanced the expression of FGF1, reduced the inflammatory response, inhibited apoptosis and attenuated cardiac injury to SIMI.