Transformer fault diagnosis method based on TLR-ADASYN balanced dataset.

As the cornerstone of transmission and distribution equipment, power transformer plays a very important role in ensuring the safe operation of power system. At present, the technology of dissolved gas analysis (DGA) has been widely used in fault diagnosis of oil-immersed transformer. However, in the actual scene, the limited number of transformer fault samples and the uneven distribution of different fault types often lead to low overall fault detection accuracy or a few types of fault misjudgment. Therefore, a transformer fault diagnosis method based on TLR-ADASYN balanced data set is presented. This method effectively addresses the issue of samples imbalance, reducing the impact on misjudgment caused by a few samples. It delves deeply into the correlation between the ratio of dissolved gas content in oil and fault type, eliminating redundant informations and reducing characteristic dimensions. The diagnostic model SO-RF (Snake Optimization-Random Forest) is established, achieving a diagnostic accuracy rate of 97.06%. This enables online diagnosis of transformers. Comparative analyses using different sampling methods, various features, and diverse diagnostic models were conducted to validate the effectiveness of the proposed method. In conclusion, validation was conducted using a public dataset, and the results demonstrate that the proposed method in this paper exhibits strong generalization capabilities.

Nanoscale Adsorption, Assembly, and Deionization Dynamics Recorded by Optical Fiber Sensors.

Capacitive deionization in environmental decontamination has been widely studied and now requires intensive development to support large-scale deployment. Porous nanomaterials have been demonstrated to play pivotal roles in determining decontamination efficiency and manipulating nanomaterials to form functional architecture has been one of the most exciting challenges. Such nanostructure engineering and environmental applications highlight the importance of observing, recording, and studying basically electrical-assisted charge/ion/particle adsorption and assembly behaviors localized at charged interfaces. In addition, it is generally desirable to increase the sorption capacity and reduce the energy cost, which increase the requirement for recording collective dynamic and performance properties that stem from nanoscale deionization dynamics. Herein, we show how a single optical fiber can serve as an in situ and multifunctional opto-electrochemical platform for addressing these issues. The surface plasmon resonance signals allow the in situ spectral observation of nanoscale dynamic behaviors at the electrode-electrolyte interface. The parallel and complementary optical-electrical sensing signals enable the single probe but multifunctional recording of electrokinetic phenomena and electrosorption processes. As a proof of concept, we experimentally decipher the interfacial adsorption and assembly behaviors of anisotropic metal-organic framework nanoparticles at a charged surface and decouple the interfacial capacitive deionization within an assembled metal-organic framework nanocoating by visualizing its dynamic and energy consumption properties, including the adsorptive capacity, removal efficiency, kinetic properties, charge, specific energy consumption, and charge efficiency. This simple "all-in-fiber" opto-electrochemical platform offers intriguing opportunities to provide in situ and multidimensional insights into interfacial adsorption, assembly, and deionization dynamics information, which may contribute to understanding the underlying assembly rules and the exploring structure-deionization performance correlations for the development of tailor-made nanohybrid electrode coatings for deionization applications.

Alfuzosin ameliorates diabetes by boosting PGK1 activity in diabetic mice.

AIMS: Diabetes mellitus (DM) has become a global problem, causing a huge economic burden. The purpose of this study is to find a new potential method and mechanism for the treatment of DM. MAIN METHODS: The oxidation, glycation and insulin resistance cell models were built to screen the potential anti-diabetic chemicals. Then the DM mice were induced by the combination of high-fat diet (HFD) and intraperitoneal injection of streptozotocin (50 mg/kg) for five days. The alfuzosin (1.2 mg/kg) was administered by intraperitoneal injection once daily for sequential 12 weeks. Fasting blood glucose, blood lipid, oxidative stress and key markers of glucose metabolism were detected. PGK1/AKT/GLUT4 pathway related proteins were analyzed by Western blot. KEY FINDINGS: Alfuzosin ameliorated oxidative stress, glycative stress and insulin resistance in HepG2 cells. Further, in a high-fat diet/streptozotocin (HFD/STZ)-induced diabetic mouse model, alfuzosin reduced fasting blood glucose, improved insulin sensitivity. Mechanically, alfuzosin activated PGK1 directly to stimulate the protein kinase B (AKT) signaling pathway, thus facilitating glucose uptake as well as improving insulin resistance. SIGNIFICANCE: The present finding has shed a new light on the treatment of DM and provides validation for PGK1 as a therapeutic target for DM.

Sulfathiazole treats type 2 diabetes by restoring metabolism through activating CYP19A1.

Globally, diabetes mellitus has been a major epidemic bringing metabolic and endocrine disorders. Currently, 1 in 11 adults suffers from diabetes mellitus, among the patients >90% contract type 2 diabetes mellitus (T2DM). Therefore, it is urgent to develop new drugs that effectively prevent and treat type 2 diabetes through new targets. With high-throughput screening, we found that sulfathiazole decreased the blood glucose and improved glucose metabolism in T2DM mice. Notably, we discovered that sulfathiazole treated T2DM by activating CYP19A1 protein to synthesize estrogen. Collectively, sulfathiazole along with CYP19A1 target bring new promise for the better therapy of T2DM.

Quinacrine attenuates diet-induced obesity by inhibiting adipogenesis via activation of AMPK signaling.

Obesity, a global epidemic chronic metabolic disease, urgently demands novel therapies. As an antimalarial drug, quinacrine has not been reported for its anti-obesity effect to our knowledge. This study aimed to explore the ability of quinacrine to attenuate obesity. In an in vitro adipogenic model, quinacrine exhibited an outstanding suppression on adipogenesis of 3T3-L1 cells, mainly by activating the AMPK (Adenosine 5'-monophosphate (AMP)-activated protein kinase) signaling pathway to regulate preadipocytes differentiation and lipid accumulation. In addition, C57BL/6N female mice were fed with high-fat diet and high-fructose water for 14 weeks to establish an obesity model, followed by oral administration of quinacrine or orlistat. After 9 weeks of treatment, quinacrine significantly reduced the body weight and energy intake, ameliorated the impaired glucose tolerance and restored the homeostasis of serum lipids. Also, quinacrine improved lipid profile and optimized the expression of AMPK signaling pathway related proteins in livers and adipose tissues of obese mice. Quinacrine reverses obesity through activating AMPK phosphorylation to down-regulate adipogenesis, along with lowering the risk of type 2 diabetes and atherosclerosis. It should be a novel application for the treatment of obesity and its associated diseases.

Primaquine activates Keratin 7 to treat diabetes and its complications.

Background: The global prevalence of type 2 diabetes mellitus (T2DM) raises the rates of its complications, such as diabetic nephropathy and cardiovascular diseases. To conquer the complications, new strategies to reverse the deterioration of T2DM are urgently needed. In this project, we aimed to examine the hypoglycemic effect of primaquine and explore its specific target. Methods: In vitro T2DM insulin resistance model was built in HepG2 cells to screen the potential anti-diabetic chemicals. On the other hand, the potential protein targets were explored by molecular docking. Accordingly, we chose C57BL/6 N mice to establish T2DM model to verify the effect of the chemicals on anti-hyperglycemia and diabetic complications. Results: By targeting the Keratin 7 (K7) to activate EGFR/Akt glucose metabolism signaling pathway, primaquine poses a potent hypoglycemic effect. The level of acetyl-CoA is enhanced markedly, supporting that primaquine upregulates the aerobic glycolysis. Moreover, primaquine ameliorates kidney function by reducing the secretion of urinary proteins and creatinine, especially for the urea nitrogen which is significantly decreased compared to no-treatment T2DM mice. Notably, primaquine restores the level of plasma low-density lipoprotein cholesterol (LDL-C) nearly to normal, minimizing the incidence of cardiovascular diseases. Conclusions: We find that primaquine may reverse the dysregulated metabolism to prevent diabetic complications by stimulating EGFR/Akt signaling axis, shedding new light on the therapy of T2DM. Graphical abstract: Insulin resistance is characterized by reduced p-Akt and glucose metabolism, dominated by anaerobic glycolysis. Primaquine activates the complex made of K7 and EGFR, further stimulating Akt phosphorylation. Then, p-Akt promotes the aerobic glucose metabolism and upregulates Ac-CoA to mobilize TCA cycle, improving insulin sensitivity. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-022-01135-8.

Lamivudine remedies alcoholism by activating acetaldehyde dehydrogenase.

Acute ethanol intoxication has become an alarming health problem. In the present study, we discover the beneficial effect of lamivudine on alcoholism in mice. Our results indicate that lamivudine decreases serum alcohol concentration dramatically, and potently activates acetaldehyde dehydrogenase (ALDH) to accelerate the conversion of acetaldehyde to acetic acid, which is finally metabolized by tricarboxylic acid cycle to be CO2 and H2O. Also, lamivudine significantly improves symptoms post drinking, such as prolonging alcohol tolerance time and shortening sobering time, as well as reducing the death rate. This work will provide new strategies for the prevention and treatment of acute alcoholism.

Acyclovir alleviates insulin resistance via activating PKM1 in diabetic mice.

AIMS: Diabetes mellitus (DM) is a major global health threat characterized by insulin resistance. A new tactic to ameliorate insulin resistance, thereby reversing the exacerbation of DM, is urgently needed. The work is aiming to provide a new strategy for DM treatment as well as to identify new targets. MAIN METHODS: C57BL/6 N mice were raised with high-fat diet (HFD) and infused with streptozotocin (STZ) to induce diabetes. The blood glucose, serum insulin, blood lipid and oxidative stress were detected. In vitro insulin resistance model experiment has been made to examine the molecular mechanisms underlying anti-diabetic effect of potential active chemicals in human hepatocellular carcinoma cells (HepG2). KEY FINDINGS: Acyclovir, an antiviral nucleotide analog, alleviates insulin resistance by reducing blood lipids as well as oxidative stress and elevating insulin sensitivity on diabetic mice, which is in accord with results in the insulin resistance model of HepG2 cells. Mechanically, acyclovir stimulates pyruvate kinase M1 (PKM1) directly to activate adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK)/Sirtuin1 (SIRT1) signaling pathway, thus improving insulin resistance. SIGNIFICANCE: The present study supports that acyclovir should be translated to remedy DM, and PKM1 might be a valuable target to develop new medicines.

The differential roles of lexical and sublexical processing during spoken-word recognition in clear and in noise.

Successful spoken-word recognition relies on interplay between lexical and sublexical processing. Previous research demonstrated that listeners readily shift between more lexically-biased and more sublexically-biased modes of processing in response to the situational context in which language comprehension takes place. Recognizing words in the presence of background noise reduces the perceptual evidence for the speech signal and - compared to the clear - results in greater uncertainty. It has been proposed that, when dealing with greater uncertainty, listeners rely more strongly on sublexical processing. The present study tested this proposal using behavioral and electroencephalography (EEG) measures. We reasoned that such an adjustment would be reflected in changes in the effects of variables predicting recognition performance with loci at lexical and sublexical levels, respectively. We presented native speakers of Dutch with words featuring substantial variability in (1) word frequency (locus at lexical level), (2) phonological neighborhood density (loci at lexical and sublexical levels) and (3) phonotactic probability (locus at sublexical level). Each participant heard each word in noise (presented at one of three signal-to-noise ratios) and in the clear and performed a two-stage lexical decision and transcription task while EEG was recorded. Using linear mixed-effects analyses, we observed behavioral evidence that listeners relied more strongly on sublexical processing when speech quality decreased. Mixed-effects modelling of the EEG signal in the clear condition showed that sublexical effects were reflected in early modulations of ERP components (e.g., within the first 300 msec post word onset). In noise, EEG effects occurred later and involved multiple regions activated in parallel. Taken together, we found evidence - especially in the behavioral data - supporting previous accounts that the presence of background noise induces a stronger reliance on sublexical processing.

The Discovery of Novel PGK1 Activators as Apoptotic Inhibiting and Neuroprotective Agents.

Stroke is the second leading cause of death worldwide and the leading cause of long-term disability that seriously endangers health and quality of human life. Tissue-type fibrinogen activator is currently the only drug approved by FDA for the treatment of ischemic stroke. Neuroprotection is theoretically a common strategy for the treatment of both ischemic and hemorrhagic stroke; therefore, the development of neuroprotective agent has been the focus of research. However, no ideal neuroprotective drug is clinically available. Phosphoglycerate kinase-1 (PGK1) activator has the effect of inhibiting apoptosis and protecting tissue damage, and therefore could be a potential neuroprotective agent. To obtain effective PGK1 activators, we virtually screened a large chemical database and their evaluated the efficacy by the Drosophila oxidative stress model, PGK1 enzymatic activity assay, and oxygen-glucose stripping reperfusion (OGD/R) model. The results showed that compounds 7979989, Z112553128 and AK-693/21087020 are potential PGK1 activators with protective effects against PQ-induced oxidative stress in the Drosophila model and could effectively ameliorate apoptosis induced by OGD/R-induced neuronal cell injury. Additionally, compounds 7979989 and Z112553128 are effective in alleviating LPS-induced cellular inflammation. This study indicated that these compounds are promising lead compounds that provide theoretical and material basis to the neuroprotective drug discovery.

Laser-Induced Corrugated Graphene Films for Integrated Multimodal Sensors.

Microstructures play a dominant role in flexible electronics to improve the performance of the devices, including sensitivity, durability, stretchability, and so on. However, the complicated and expensive fabrication process of these microstructures extremely hampers the large-scale application of high-performance devices. Herein, we propose a novel method to fabricate flexible graphene-based sensors with a 3D microstructure by generating laser-induced graphene (LIG) on the 3D printed polyether ether ketone corrugated substrate, which is referred to as CLIG. Based on that, two integrated piezoresistive sensors are developed to monitor the precise strain and pressure signals. Contributed to the 3D corrugated graphene structure, the sensitivities of strain and pressure sensors can be up to 2203.5 and 678.2 kPa-1, respectively. In particular, the CLIG-based strain sensor exhibits a high resolution to the microdeformation (small as 1 µm or 0.01% strain) and remarkable durability (15,000 cycles); meanwhile, the pressure sensor presents a remarkable working range (1-500 kPa) and fast response time (24 ms). Furthermore, the CLIG-based sensors provide a stable data source in the applications of human-motion monitoring, pressure array, and self-sensing soft robotic systems. High accuracy allows CLIG sensors to recognize more subtle signals, such as pulse, swallowing, gesture distinction of human, and movement status of soft robotics. Overall, this technology shows a promising strategy to fabricate high-performance sensors with high efficiency and low cost.

Terazosin Stimulates Pgk1 to Remedy Gastrointestinal Disorders.

Gastrointestinal disease is the most common health concern that occurs due to environmental, infectious, immunological, psychological, and genetic stress. Among them, the most frequent diseases are gastric ulcer (GU) and ulcerative colitis (UC). DSS-induced UC and ethanol-stimulated GU models resemble the pathophysiology of human gastrointestinal disease. The current study was designed to explore the anti-oxidation, anti-inflammation, anti-cell death properties of terazosin, an α-adrenergic receptor antagonist, in vivo and in vitro. Our results indicate that terazosin dramatically activates Pgk1, and upregulates glycose metabolism, evidenced by the enhanced ATP production and higher LDH enzymatic activity. Also, terazosin significantly enhances p-AKT expression and inhibits NF-κB p65 activation through abrogating the phosphorylation of IKBα, as well as lowers Caspase-1 and GSDMD expression. The findings in this study demonstrate that terazosin exhibits anti-inflammatory effects by downregulating NF-κB-GSDMD signal pathway, along with enhancing glycolysis for gastrointestinal disease treatment. Meanwhile, we also find terazosin ameliorates ethanol-induced gastric mucosal damage in mice. Collectively, as a clinical drug, terazosin should be translated into therapeutics for gastrointestinal disease soon.

Surface area wiped, product type, and target strain impact bactericidal efficacy of ready-to-use disinfectant Towelettes.

Background: Disinfectant products are often used on environmental surfaces (e.g. countertops, patient beds) and patient care equipment in healthcare facilities to help prevent the transmission of healthcare-associated infections. Ready-to-use (RTU) disinfectants in the form of pre-wetted towelettes are increasingly popular among healthcare facilities. Currently, the EPA does not require disinfectant manufacturers to include a recommended maximum surface area per towelette on their product labels. The objective of this study was to investigate the efficacy of disinfectant towelette products on a hard non-porous surface across different coverage areas using a quantitative EPA method. We hypothesized that there would be significant differences in the efficacy of disinfectant towelette products, and that the greater surface area(s) wiped would result in reduced bactericidal efficacy. Methods: This study tested ten disinfectant towelette products against Staphylococcus aureus strain ATCC CRM-6538 and Pseudomonas aeruginosa strain ATCC 15442 on Formica surfaces. Defined surface areas were wiped and the towelette weighed before and after wiping to determine the amount of liquid released. Bactericidal efficacy testing was also performed after wiping following standard EPA protocols. Results: We found that disinfectant product, area of surface wiped, and strain impacted the bactericidal efficacy achieved. Disinfectant product type and area of surface wiped significantly impacted the percent of liquid released per ft2from the towelette. Conclusion: Overall, bactericidal efficacy varied by towelette product, surface area wiped, and strain. This study also found that wiping larger surface areas may lead to decreased bactericidal efficacy. Further research is needed to test its implication.

Investigation of Sensitivities and Drift Effects of the Arrayed Flexible Chloride Sensor Based on RuO2/GO at Different Temperatures.

We investigate the temperature effect on sensing characteristics and drift effect of an arrayed flexible ruthenium dioxide (RuO2)/graphene oxide (GO) chloride sensor at different solution temperatures between 10 °C and 50 °C. The average sensor sensitivities according to our experimental results were 28.2 ± 1.4 mV/pCl (10 °C), 42.5 ± 2.0 mV/pCl (20 °C), 47.1 ± 1.8 mV/pCl (30 °C), 54.1 ± 2.01 mV/pCl (40 °C) and 46.6 ± 2.1 mV/pCl (50 °C). We found the drift effects of an arrayed flexible RuO2/GO chloride sensor in a 1 M NaCl solution to be between 8.2 mV/h and 2.5 mV/h with solution temperatures from 10 °C to 50 °C.

[Chemical constituents from roots of Stelleropsis tianschanica].

The constituents from 95% ethanol extract of the roots of Stelleropsis tianschanica were purified by column chromatography techniques, leading to the isolation of 17 compounds. Their structures were elucidated by spectroscopic dataas 5'-methoxy lariciresinol(1), pinoresinol(2), daphnoretin(3), acutissimalignan B(4),(+)-secoisolariciresinol(5),(+)-epipinoresinol(6), 7-methyi-daphnoretin(7), thero-8S-7-methoxysyringylglycerol(8), 1-O-methyl-guaiacylglycerol(9), 2R-22'-ferulic acid ester-2,3-dihydroxypropyl ester(10), vesiculosin(11), 4ß,5ßH-guai-9,7(11)-dien-12,8-olide-1α,8α-diol(12),(-)-nortrachelogenin(13), 4α,5ßH-guai-9,7(11)-dien-12,8-olide-1α,8α-diol(14), matairesinol(15), lariciresinol(16)and isolariciresinol(17). Among them, compounds 1-13 wereobtained for the first time fromthe genus Stelleropsis. Compounds 3, 7, 10-14 were tested for their activation of orphan nuclear receptor TR3 with the immunofluorescence technology in 50 µmol•L⁻¹. The results showed that compound 10 displayed moderate activity with the activity ratio of 76.38%, and the others were only about 50.0%.

Enhanced Sanitation Standard Operating Procedures Have Limited Impact on Listeria monocytogenes Prevalence in Retail Delis.

In a recent longitudinal surveillance study in 30 U.S. retail delicatessens, 9.7% of environmental surfaces were positive for Listeria monocytogenes, and we found substantial evidence of persistence. In this study, we aimed to reduce the prevalence and persistence of L. monocytogenes in the retail deli environment by developing and implementing practical and feasible intervention strategies (i.e., sanitation standard operating procedures; SSOPs). These SSOPs were standardized across the 30 delis enrolled in this study. SSOP implementation was verified by systems inherent to each retailer. Each deli also was equipped with ATP monitoring systems to verify effective sanitation. We evaluated intervention strategy efficacy by testing 28 food and nonfood contact surfaces for L. monocytogenes for 6 months in all 30 retail delis. The efficacy of the intervention on the delis compared with preintervention prevalence level was not statistically significant; we found that L. monocytogenes could persist despite implementation of enhanced SSOPs. Systematic and accurate use of ATP monitoring systems varied widely among delis. The findings indicate that intervention strategies in the form of enhanced daily SSOPs were not sufficient to eliminate L. monocytogenes from highly prevalent and persistently contaminated delis and that more aggressive strategies (e.g., deep cleaning or capital investment in redesign or equipment) may be necessary to fully mitigate persistent contamination.

Evaluation of Third-Party Deep Cleaning as a Listeria monocytogenes Control Strategy in Retail Delis.

The objective of this study was to develop and assess the efficacy of an aggressive deep cleaning sanitation standard operating procedure (DC-SSOP) in nine retail delicatessens to reduce persistent Listeria monocytogenes environmental contamination. The DC-SSOP was developed from combined daily SSOPs recommended by the Food Marketing Institute and input from experts in Listeria control from food manufacturing and sanitation. The DC-SSOP was executed by a trained professional cleaning service during a single 12-h shutdown period. A modified protocol from the U.S. Food and Drug Administration Bacteriological Analytical Manual was used to detect L. monocytogenes in samples from 28 food and nonfood contact surfaces that were collected immediately before and after each cleaning and in samples collected monthly for 3 months. The DC-SSOP significantly reduced L. monocytogenes prevalence overall during the 3-month follow-up period and produced variable results for persistent L. monocytogenes isolates. Six delis with historically low to moderate L. monocytogenes prevalence had no significant changes in the number of samples positive for L. monocytogenes after deep cleaning. Deep cleaning in very high prevalence delis (20 to 30% prevalence) reduced L. monocytogenes by 25.6% (Padj < 0.0001, n = 294) overall during the follow-up period. Among delis with extremely high prevalence (>30%), positive samples from nonfood contact surfaces were reduced by 19.6% (Padj = 0.0002, n = 294) during the follow-up period. The inability of deep cleaning to completely eliminate persistent L. monocytogenes was likely due to the diverse infrastructures in each deli, which may require more individualized intervention strategies.

New Cassane Diterpenoids from Caesalpinia sappan and their Antiplasmodial Activity.

One new cassane diterpene possessing an unusual N bridge between C-19 and C-20 named caesalsappanin R (1), as well as another new diterpene caesalsappanin S (2), were isolated from the seeds of Caesalpinia sappanwith methanol extract. Their structures were determined by spectroscopic analysis and examined alongside existing data from prior studies. Their biological activities were profiled by their antiplasmodial activity.

A wide range real-time synchronous demodulation system for the dispersion interferometer on HL-2M.

A real-time synchronous demodulation system has been developed for the dispersion interferometer on a HL-2M tokamak. The system is based on the phase extraction method which uses a ratio of modulation amplitudes. A high-performance field programmable gate array with pipeline process capabilities is used to realize the real time synchronous demodulation algorithm. A fringe jump correction algorithm is applied to follow the fast density changes of the plasma. By using the Peripheral Component Interconnect Express protocol, the electronics can perform real-time density feedback with a temporal resolution of 100 ns. Some experimental results presented show that the electronics can obtain a wide measurement range of 2.28 × 1022 m-2 with high precision.