Adsorption Properties of Modified Soda Lime for Carbon Dioxide Removal within the Closed Environment of a Coal Mine Refuge Chamber

In coal mine safety, providing and maintaining a safe closed environment and reducing the casualties of coal mine disasters are a long-term challenges. A novel and modified soda lime with higher adsorption rate and capacity was developed through analyzing the reaction mechanism and adsorption factors. The best combinations of soda lime with different mass fraction is additives 6%, H₂O 12%, and NAOH 6%, while the best working modes is 25 W fan power, 8 cm thickness, and S-5 soda lime according to the multi-index orthogonal experiment. The order of influence for CO₂ adsorption rate of different compositions (mass fraction) is NaOH > H₂O > Al₂O₃, and the order of influence in different working modes is fan power > thickness > the type of soda lime. Through the optimization design, the novel soda lime is easy to form without binding together in the process of adsorption for CO₂ and the dust outflow reduced by about 50%. The adsorption rate still remain at a high level in a high temperature and high humidity environment (humidity 70% and temperature 30 °C). It was demonstrated that the adsorption capacity increased by 28%, the adsorption rate increased by 32.2%, and the power consumption reduced by 33.3%

Foster care and its forms with respect to the SOS Children's Villages

BLAST results of seven B-located gene fragments. (XLSX 11 kb

Additional file 9: Figure S4. of B chromosome contains active genes and impacts the transcription of A chromosomes in maize (Zea mays L.)

Sequencing graph of PCR products of four A and B chromosome homologous gene fragments. The arrows indicate the double peaks of SNP sites, and the arrowheads indicate the insertion/deletion sites, the double peaks appear on the upstream/downstream of the InDel sites. (TIF 3434 kb

Table_1_Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study.xlsx

ObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.Materials and MethodsCo-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi’s world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method.ResultsA total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/105 and 2.32/105 person-years, respectively. The YLL was 16372.96 years, and the YLL rate was 72.46/105 person-years. The YLL rate increased only in the age group of 70-79 years (P = 0.017). The survival rates of ovarian cancer patients did not improve during the ten year period (2005-2015). The top co-morbidities were diseases of the respiratory system, digestive system, and circulatory system. The rates of ovarian cancer deaths caused by non-demographic and demographic factors increased by 21.29% (95%CI: 4.01% to 41.44%, P = 0.018) and 25.23% (95%CI: 14.64% to 36.81%, P ConclusionsPopulation ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease.</p

Table_6_Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study.xlsx

ObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.Materials and MethodsCo-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi’s world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method.ResultsA total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/105 and 2.32/105 person-years, respectively. The YLL was 16372.96 years, and the YLL rate was 72.46/105 person-years. The YLL rate increased only in the age group of 70-79 years (P = 0.017). The survival rates of ovarian cancer patients did not improve during the ten year period (2005-2015). The top co-morbidities were diseases of the respiratory system, digestive system, and circulatory system. The rates of ovarian cancer deaths caused by non-demographic and demographic factors increased by 21.29% (95%CI: 4.01% to 41.44%, P = 0.018) and 25.23% (95%CI: 14.64% to 36.81%, P ConclusionsPopulation ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease.</p

Table_3_Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study.xlsx

ObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.Materials and MethodsCo-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi’s world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method.ResultsA total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/105 and 2.32/105 person-years, respectively. The YLL was 16372.96 years, and the YLL rate was 72.46/105 person-years. The YLL rate increased only in the age group of 70-79 years (P = 0.017). The survival rates of ovarian cancer patients did not improve during the ten year period (2005-2015). The top co-morbidities were diseases of the respiratory system, digestive system, and circulatory system. The rates of ovarian cancer deaths caused by non-demographic and demographic factors increased by 21.29% (95%CI: 4.01% to 41.44%, P = 0.018) and 25.23% (95%CI: 14.64% to 36.81%, P ConclusionsPopulation ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease.</p

Table_4_Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study.xlsx

ObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.Materials and MethodsCo-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi’s world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method.ResultsA total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/105 and 2.32/105 person-years, respectively. The YLL was 16372.96 years, and the YLL rate was 72.46/105 person-years. The YLL rate increased only in the age group of 70-79 years (P = 0.017). The survival rates of ovarian cancer patients did not improve during the ten year period (2005-2015). The top co-morbidities were diseases of the respiratory system, digestive system, and circulatory system. The rates of ovarian cancer deaths caused by non-demographic and demographic factors increased by 21.29% (95%CI: 4.01% to 41.44%, P = 0.018) and 25.23% (95%CI: 14.64% to 36.81%, P ConclusionsPopulation ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease.</p

Table_1_Metagenomic next-generation sequencing shotgun for the diagnosis of infection in connective tissue diseases: A retrospective study.docx

ObjectivePatients with connective tissue diseases (CTDs) are at high risk of infection due to various reasons. The purpose of the study was to investigate the infection diagnosis value of metagenomic next-generation sequencing (mNGS) shotgun in CTDs to guide the use of anti-infective therapy more quickly and accurately.MethodsIn this retrospective study, a total of 103 patients with CTDs admitted with suspected infection between December 2018 and September 2021 were assessed using mNGS as well as conventional microbiological tests (CMT).ResultsAmong these 103 patients, 65 were confirmed to have an infection (Group I) and 38 had no infection (Group II). mNGS reached a sensitivity of 92.31% in diagnosing pathogens in Group I. Moreover, mNGS showed good performance in identifying mixed infection. In all infection types, lung infection was the most common. mNGS also played an important role in detecting Pneumocystis jirovecii, which was associated with low CD4+ T-cell counts inextricably.ConclusionmNGS is a useful tool with outstanding diagnostic potential in identifying pathogens in patients with CTDs and conduce to provide guidance in clinical practice.</p

Smart Sensing Based on DNA–Metal Interaction Enables a Label-Free and Resettable Security Model of Electrochemical Molecular Keypad Lock

Recently, molecular keypad locks have received increasing attention. As a new subgroup of smart biosensors, they show great potential for protecting information as a molecular security data processor, rather than merely molecular recognition and quantitation. Herein, label-free electrochemically transduced Ag⁺ and cysteine (Cys) sensors were developed. A molecular keypad lock model with reset function was successfully realized based on the balanced interaction of metal ion with its nucleic acid and chemical ligands. The correct input of “1-2-3” (i.e., “Ag⁺-Cys-cDNA”) is the only password of such molecular keypad lock. Moreover, the resetting process of either correct or wrong input order could be easily made by Cys, buffer, and DI water treatment. Therefore, our system provides an even smarter system of molecular keypad lock, which could inhibit illegal access of unauthorized users, holding great promise in information protection at the molecular level

G‑quadruplex-Based Fluorescent Assay of S1 Nuclease Activity and K⁺

Endonuclease plays an important role in many biological processes, and an assay of endonuclease activity is of great significance. However, traditional methods for the assay of endonuclease activity have undesirable limitations, such as high cost, DNA-consuming and laboriousness. In the present work, a G-quadruplex-based, fluorescent assay of endonuclease activity has been developed with protoporphyrin IX (PPIX) as a signal reporter. S1 nuclease, a single strand DNA (ssDNA)-specific endonuclease, is employed as model system. In the “on” state, G-quadruplex DNA can greatly enhance the fluorescence of PPIX. However, if S1 nuclease could cleave G-quadruplex DNA into small fragments, there would be no formation of G-quadruplexes, accompanied by low emission response of PPIX. This fluorescent discrimination before or after digestion by nuclease can be used to monitor the activity of S1 nuclease. This assay is simple in design and offers a convenient protocol for homogeneous, rapid and high-throughput detection. In addition, the proposed strategy avoids complicated covalent modifications or chemical labeling, and thus offers advantages of simplicity and cost efficiency. More importantly, K⁺ is found to well inhibit the activity of S1 nuclease when using certain G-quadruplex DNA as substrate, and thus this system is further used for turn-on detection of K⁺. S1 nuclease is critical in the detection of K⁺ since it helps to reduce the background signal