Insomnia is associated with neurotransmitters and intestinal *** studies have demonstrated the ameliorative effects of milk hydrolysates on insomnia,the underlying mechanisms require further *** this study,we investig...
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Insomnia is associated with neurotransmitters and intestinal *** studies have demonstrated the ameliorative effects of milk hydrolysates on insomnia,the underlying mechanisms require further *** this study,we investigated how papain hydrolysates of goat casein(CPH)and whey protein(WPH)affected mice's ***,we show that CPH effectively improved the total sleep time in 12 h and restoring neurotransmitters(5-hydroxytryptamine(5-HT),γ-aminobutyric acid(GABA),dopamine(DA),and norepinephrine(NE))in *** gut microbiota analysis revealed a significant increase in the relative abundance of Helicobacter and Escherichia-Shigella and a decrease in the relative abundance of Lactobacillus in the insomnia model mice(Model).Compared to the Model group,both CPH and WPH significantly increased the relative abundance of Akkermansia and Lactobacillus while lowering the relative abundance of Helicobacter and ***,while diazepam(DZP)increased mouse sleep duration,it also increased the relative abundance of Colidextribacter,Parasutterella,Muribaculaceae,and ***,the gene expression and protein expression of GABA_A receptor,cAMP-response element binding protein(CREB),and brain-derived neurotrophic factor(BDNF)were upregulated in the *** also discovered a link between intestinal gut microbiota and ***,our results suggest that goat milk hydrolysates,especially CPH,can effectively improve insomnia,providing a theoretical basis for further experimentation and individualized designs.
Attribute reduction through the combined approach of Rough Sets(RS)and algebraic topology is an open research topic with significant potential for *** research works have introduced a strong relationship between RS an...
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Attribute reduction through the combined approach of Rough Sets(RS)and algebraic topology is an open research topic with significant potential for *** research works have introduced a strong relationship between RS and topology spaces for the attribute reduction ***,the mentioned recent methods followed a strategy to construct a new measure for attribute ***,the strategy for searching for the reduct is still to select each attribute and gradually add it to the ***,those methods tended to be inefficient for high-dimensional *** overcome these challenges,we use the separability property of Hausdorff topology to quickly identify distinguishable attributes,this approach significantly reduces the time for the attribute filtering stage of the *** addition,we propose the concept of Hausdorff topological homomorphism to construct candidate reducts,this method significantly reduces the number of candidate reducts for the wrapper stage of the *** are the two main stages that have the most effect on reducing computing time for the attribute reduction of the proposed algorithm,which we call the Cluster Filter Wrapper algorithm based on Hausdorff *** validation on the UCI Machine Learning Repository Data shows that the proposed method achieves efficiency in both the execution time and the size of the reduct.
Two-dimensional(2D)transition-metal dichalcogenides(TMDs)materials have unique band structure as well as excellent electrical and optical properties,which exhibit great advantages in optoelectronic *** vapor depositio...
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Two-dimensional(2D)transition-metal dichalcogenides(TMDs)materials have unique band structure as well as excellent electrical and optical properties,which exhibit great advantages in optoelectronic *** vapor deposition(CVD),a method to realize the synthesis of large-scale 2D TMDs materials,will inevitably introduce defects in the growth process,thus decreasing the performance of 2D TMDs-based optoelectronic *** order to fundamentally address this issue,we proposed a method to gradually regulate the reaction concentration of precursor during *** a result,the suitable concentration of precursor can effectively enhance the probability of covalent binding of X-M(X:S,Se,etc.;M:Mo,W,etc.),thus suppressing the generation of vacancy ***,we explored sulfur vacancy(V_(S))on the performance of 2D molybdenum disulfide-based(MoS_(2)-based)self-powered devices through constructing p-type silicon/MoS_(2)(p-Si/MoS_(2))based p-n *** photodetector composed of optimized MoS_(2) nanosheets exhibited high responsivity(330.14 A·W^(-1)),fast response speed(40μs/133μs),and excellent photovoltage *** method of regulating the low temperature region during CVD growth can realize the preparation of high-quality TMDs films and be applied in high-performance optoelectronic devices.
BACKGROUND The current understanding of the magnitude and consequences of multimorbidity in Chinese older adults with coronary heart disease(CHD)is *** aimed to assess the association and population-attributable fract...
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BACKGROUND The current understanding of the magnitude and consequences of multimorbidity in Chinese older adults with coronary heart disease(CHD)is *** aimed to assess the association and population-attributable fractions(PAFs)between multimorbidity and mortality among hospitalized older patients who were diagnosed with CHD in Shenzhen,*** We conducted a retrospective cohort study of older Chinese patients(aged≥65 years)who were diagnosed with *** proportional hazards models were used to estimate the associations between multimorbidity and all-cause and cardiovascular disease(CVD)*** also calculated the *** The study comprised 76,455 older hospitalized patients who were diagnosed with CHD between January 1,2016,and August 31,*** them,70,217(91.9%)had multimorbidity,defined as the presence of at least one of the predefined 14 chronic *** with cancer,hemorrhagic stroke and chronic liver disease had the worst overall death risk,with adjusted HRs(95%CIs)of 4.05(3.77,4.38),2.22(1.94,2.53),and 1.85(1.63,2.11),*** CVD mortality,the highest risk was observed for hemorrhagic stroke,ischemic stroke,and chronic kidney disease;the corresponding adjusted HRs(95%CIs)were 3.24(2.77,3.79),1.91(1.79,2.04),and 1.81(1.64,1.99),***-cause mortality was mostly attributable to cancer,heart failure and ischemic stroke,with PAFs of 11.8,10.2,and 9.1,*** for CVD mortality,the leading PAFs were heart failure,ischemic stroke and diabetes;the corresponding PAFs were 18.0,15.7,and 6.1,*** Multimorbidity was common and had a significant impact on mortality among older patients with CHD in Shenzhen,***,heart failure,ischemic stroke and diabetes are the primary contributors to ***,prioritizing improved treatment and management of these comorbidities is essential for the survival prognosis of CHD patients from a holistic public health perspective.
Finding out how diet impacts health and metabolism while concentrating on the functional qualities and bioactive components of food is the crucial scientific objective of nutritional research. The complex relationship...
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Finding out how diet impacts health and metabolism while concentrating on the functional qualities and bioactive components of food is the crucial scientific objective of nutritional research. The complex relationship between metabolism and nutrition could be investigated with cutting-edge "omics" and bioinformatics techniques. This review paper provides an overview of the use of omics technologies in nutritional research, with a particular emphasis on the new applications of transcriptomics, proteomics, metabolomics, and genomes in functional and biological activity research on ruminant livestock and products in the tropical regions. A wealth of knowledge has been uncovered regarding the regulation and use of numerous physiological and pathological processes by gene, m RNA, protein, and metabolite expressions under various physiological situations and guidelines. In particular, the components of meat and milk were assessed using omics research utilizing the various methods of transcriptomics, proteomics, metabolomics, and genomes. The goal of this review is to use omics technologies—which have been steadily gaining popularity as technological tools—to develop new nutritional, genetic, and leadership strategies to improve animal products and their quality control. We also present an overview of the new applications of omics technologies in cattle production and employ nutriomics and foodomics technologies to investigate the microbes in the rumen ecology. Thus, the application of state-of-the-art omics technology may aid in our understanding of how species and/or breeds adapt, and the sustainability of tropical animal production, in the long run, is becoming increasingly important as a means of mitigating the consequences of climate change.
High-entropy design is attracting growing interest as it offers unique structures and unprecedented application potential for *** this article,a novel high-entropy ferrite(CoNi)_(x/2)(CuZnAl)_((1-x)/3)Fe_(2)O_(4)(x=0....
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High-entropy design is attracting growing interest as it offers unique structures and unprecedented application potential for *** this article,a novel high-entropy ferrite(CoNi)_(x/2)(CuZnAl)_((1-x)/3)Fe_(2)O_(4)(x=0.25,0.34,0.40,0.50)with a single spinel phase of space group Fd3m was successfully developed by the solid-state reaction *** tuning the Co-Ni content,the magnetic properties of the material,especially the coercivity,changed regularly,and the microwave absorption properties were *** particular,the ef-fective absorption bandwidth of the material increased from 4.8 to 7.2 GHz,and the matched thickness decreased from 3.9 to 2.3 mm,while the minimum reflection loss remained below-20 *** study provides a practical method for modifying the properties of fer-rites used to absorb electromagnetic waves.
Businesses use green practices to gain a sustainable competitive advantage and foster sustainable economic growth. Green practices play a critical role in establishing a positive brand image and facilitating the devel...
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Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a cr...
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Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a critical and challenging task in real application. To enhance the robustness of diagnosis and achieve a more thorough evaluation of diagnostic performance, a robust diagnostic procedure based on electrochemical impedance spectroscopy (EIS) and a new method for evaluation of the diagnosis robustness was proposed and investigated in this work. To improve the diagnosis robustness: (1) the degradation mechanism of different faults in the high temperature PEM fuel cell was first analyzed via the distribution of relaxation time of EIS to determine the equivalent circuit model (ECM) with better interpretability, simplicity and accuracy;(2) the feature extraction was implemented on the identified parameters of the ECM and extra attention was paid to distinguishing between the long-term normal degradation and other faults;(3) a Siamese Network was adopted to get features with higher robustness in a new embedding. The diagnosis was conducted using 6 classic classification algorithms—support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), random forest (RF), and Naive Bayes employing a dataset comprising a total of 1935 collected EIS. To evaluate the robustness of trained models: (1) different levels of errors were added to the features for performance evaluation;(2) a robustness coefficient (Roubust_C) was defined for a quantified and explicit evaluation of the diagnosis robustness. The diagnostic models employing the proposed feature extraction method can not only achieve the higher performance of around 100% but also higher robustness for diagnosis models. Despite the initial performance being similar, the KNN demonstrated a superior robustness after feature selection and re-embedding by triplet-loss method, which sug
The L1_(2)-strengthened Co_(34)Cr_(32)Ni_(27)Al_(4)Ti_(3)medium-entropy alloy(MEA)with precipitations of grain boundaries has been developed through selective laser melting(SLM)followed by cold rolling and annealing,e...
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The L1_(2)-strengthened Co_(34)Cr_(32)Ni_(27)Al_(4)Ti_(3)medium-entropy alloy(MEA)with precipitations of grain boundaries has been developed through selective laser melting(SLM)followed by cold rolling and annealing,exhibiting excellent strength-ductility *** as-printed alloy exhibits low yield strength(YS)of~384 MPa,ultimate tensile strength(UTS)of~453 MPa,and uniform elongation(UE)of 1.5%due to the existence of the SLM-induced *** cold rolling and annealing,the YS,UTS,and UE are significantly increased to~739 MPa,~1230 MPa,and~47%,*** enhancement primarily originates from the refined grain structure induced by cold rolling and *** presence of coherent sphericalγ'precipitates(L1_(2)phases)and Al/Ti-rich precipitates at the grain boundaries,coupled with increased lattice defects such as dislocations,stacking faults,and ultrafine deformation twins,further contribute to the property’s *** study highlights the potential of SLM in producing high-strength and ductile MEA with coherent L1_(2)nanoprecipitates,which can be further optimized through subsequent rolling and annealing *** findings offer valuable insights for the development of high-performance alloys for future engineering applications.
Cervical cancer is a prevalent gynecological malignancy,with approximately 90%of cases attributed to human papillomavirus(HPV)*** and accurate nucleic acid detection is one of the leading methods to improving screenin...
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Cervical cancer is a prevalent gynecological malignancy,with approximately 90%of cases attributed to human papillomavirus(HPV)*** and accurate nucleic acid detection is one of the leading methods to improving screening coverage for early cervical cancer ***,most existing techniques are usually complex and require expensive *** regularly interspaced short palindromic repeats(CRISPR)and CRISPR-associated systems have great advantages in nucleic acid *** herein combined the CRISPR-Cas12a with a universal dual-mode fluorescent nanoparticles(FNPs)platform to construct a highly sensitive signal-offassay for HPV high-risk subtypes *** signal readout module uses a single-stranded DNA linker,which forms a sandwich structure with DNA-functionalized magnetic beads and DNA-functionalized FNPs to generate *** trans-cleavage activity was activated by the targets,the linker was consumed and therefore could not form the sandwich structure to produce ***16 and HPV18 as model targets,the limits of detection as low as 5 pmol/L were successfully achieved without *** validated the feasibility of the real-sample detection using HPV16 and HPV18 pseudo *** proposed method can be easily adapted for other virus or bacterial assays by modifying the CRISPR-derived RNA(crRNA),which shows great potential for clinical diagnosis.
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