Improved methods are required for the recycling of waste printed circuit boards (WPCBs). In this study, WPCBs (1-1.5 cm(2)) were separated into their components using dimethyl sulfoxide (DMSO) at 60 °C for 45 min and a metallographic microscope was used to verify their delamination. An increased incubation time of 210 min yielded a complete separation of WPCBs into their components, and copper foils and glass fibers were obtained. The separation time decreased with increasing temperature. When the WPCB size was increased to 2-3 cm(2), the temperature required for complete separation increased to 90 °C. When the temperature was increased to 135 °C, liquid photo solder resists could be removed from the copper foil surfaces. The DMSO was regenerated by rotary decompression evaporation, and residues were obtained. Fourier transform infrared spectroscopy (FT-IR), thermal analysis, nuclear magnetic resonance, scanning electron microscopy, and energy-dispersive X-ray spectroscopy were used to verify that these residues were brominated epoxy resins. From FT-IR analysis after the dissolution of brominated epoxy resins in DMSO it was deduced that hydrogen bonding may play an important role in the dissolution mechanism. This novel technology offers a method for separating valuable materials and preventing environmental pollution from WPCBs.
A series of inhibitors for anti-apoptotic Bcl-2 proteins based on BHI-1 were synthesized and their binding interactions with Bcl-2, Bcl-X L , and Bcl-w were evaluated. It was found that modification of BHI-1 resulted in varied binding profiles among Bcl-2, Bcl-X L , and Bcl-w and a set of inhibitors with varied selectivity to Bcl-2, Bcl-X L , and Bcl-w protein have been identified. Molecular modeling of the interaction of the BHI-1 based analogs with the anti-apoptotic Bcl-2 proteins suggested that the binding site for the BHI-1 based inhibitor was the least conserved section among Bcl-2, Bcl-X L , and Bcl-w: targeting the non-conserved section may account for the observed selectivity of the BHI-1 based inhibitors among the anti-apoptotic Bcl-2 proteins. The validity of the model was supported by a strong correlation between the model-calculated binding energy and the experimental binding affinity. In summary, our studies suggest that most of the reported inhibitors for antiapoptotic Bcl-2 proteins are nonselective and BHI-1 is a promising template to distinguish among Bcl-2, Bcl-X L , and Bcl-w by targeting the nonconserved domain among the anti-apoptotic Bcl-2 proteins. Molecular-modeling aided rational development of BHI-1 based selective inhibitor for antiapoptotic Bcl-2 proteins is underway.
Bcl-2 family proteins can be classified into two subfamilies--anti-apoptotic members and pro-apoptotic members. Mechanistically, these two subfamilies can antagonize each other through heterodimerization while homodimerization has been proposed for each subfamily to carry out their corresponding anti-apoptotic or pro-apoptotic functions. To date, many small-molecule antagonists against anti-apoptotic Bcl-2 proteins have been developed, which are monomeric modulators. In this study, a series of BH3I-1 based dimeric modulators were developed with structure-activity relationship explored. Dimeric modulators compared to the monomeric antagonists have enhanced binding activity against anti-apoptotic Bcl-2 proteins. In addition, the acidic functional group was demonstrated to be critical for the binding interaction of the small-molecule antagonists with anti-apoptotic Bcl-2 proteins. Finally, the representative dimeric modulator revealed enhanced activity in inducing cytochrome c release from mitochondria compared to its monomeric counterpart. Taken together, dimerization of monomeric modulators is one practical approach to enhance the bioactivity of Bcl-2 antagonists.
BackgroundThe assessment of long-term survival of lung cancer patients based on data from population-based caner registries, using period analysis, was scarce in China. We aimed to accurately assess the long-term survival of lung cancer patients, and to predict the long-term survival in the future, using cancer registry data from Taizhou City, eastern China.MethodsFour cancer registries with high-quality data were selected. Patients diagnosed with lung cancer during 2004–2018 were included. The long-term survival was evaluated using period analysis, with further stratification by sex, age at diagnosis and region. Additionally, projected 5-year relative survival (RS) of lung cancer patients for 2019-2023 was evaluated, using model-based period analysis.ResultsThe 5-year RS of lung cancer patients diagnosed during 2014–2018 was 40.2% (31.5% for men and 56.2% for women). A moderate age gradient was observed for the period estimate, with the estimate decreasing from 50.5 to 26.5% in the age group of 15–44 years and ≥75 years, respectively. The 5-year RS of urban area was higher than that of rural area (52.3% vs. 38.9%). The overall projected 5-year RS of lung cancer patients was 52.7% for 2019–2023, with estimate of 43.0 and 73.2% for men and women, respectively. A moderate age gradient was also observed for the projected estimate. Moreover, estimate reached nearly 50% for rural and urban areas.ConclusionPeriod analysis tended to provide the up-to-date and precise survival estimates for lung cancer patients, which is worth further application, and provides important evidence for prevention and intervention of lung cancer.
Patients with hormone-refractory prostate cancer (HRPC) have an estimated median survival of only 10 months because of acquired drug resistance, urging the need to develop therapies against the drug-resistant HRPC phenotype. Accumulating evidence suggests that overexpressing antiapoptotic Bcl-2 family proteins is at least partially responsible for the
Background:The aspartate transaminase (AST)-to-alanine aminotransferase (ALT) ratio, which is used to measure liver injury, has been found to be associated with some chronic diseases and mortality. However, its relevance to cancer incidence resulting from population-based prospective studies has rarely been reported. In this study, we investigated the correlation of the AST/ALT ratio as a possible predictor of mortality and cancer incidence. Methods: A total of 9,946 participants fulfilled the inclusion criteria for a basic public health service project of the Health Checkup Program conducted by the BaiYun Community Health Service Center, Taizhou. Deceased participants and cancer incident cases were from The Taizhou Chronic Disease Information Management System.Odds ratios (ORs) and interval of quartile range (IQR) computed by logistic regression analysis and cumulative incidence rate were calculated by the Kaplan-Meier survival method and compared with log-rank test statistics.Results: Serum ALT and AST levels were both increased in patients with chronic diseases, but the ratio of AST/ALT was generally decreased. The cancer incident cases (488 new cases) had a greater baseline ratio (median =1.23, IQR: 0.96-1.54) than noncancer cases (median =1.15, IQR: 0.91-1.44). Compared to the first quartile of the AST/ALT ratio, the population in the top quartile had a higher cumulative cancer incidence rate (7.54% vs. 4.44%) during follow-up period. Furthermore, an elevated AST/ ALT ratio increased the risk of all-cause mortality. Conclusions:The ratio of AST/ALT is a potential biomarker to assess healthy conditions and long-term mortality. Especially for cancer, the AST/ALT ratio not only increases at baseline but also predicts the future development of cancer. The clinical value and potential mechanism deserve further research.
The next-generation wireless sensor network (WSN) has the capability of carrying hundreds of high-definition video streams, beside the feature of massive employment of energy-efficient nodes. However, several challenges are identified with respect to the video bearing, such as the different video formats, enormous size of "raw" video, and compatibility with heterogeneous terminal devices. The video transcoding system (VTS) is widely believed to address these challenges. This paper introduces a cloud-based, more specifically, Hadoop-based, video transcoding system to fulfill the vision of bearing hundreds of HD video streams in the next generation WSN, with a discussion on optimization of several significant parameters. This paper obtains three remarkable results: (1) there is an optimal value of the number of Mappers; (2) the optimal value is closely related to the file size; (3) the transcoding time depends principally on the duration of video files rather than their sizes.
Introduction While timely assessment of long‐term survival for patients with colorectal cancer (CRC) is essential for evaluation on early detection and screening programs of colorectal cancer, those data are extremely scarce in China. We aimed to timely and accurately assess long‐term survival for CRC patients in eastern China. Methods Patients diagnosed with CRC during 2004–2018 and followed up until December 31, 2018 from four cancer registries with high‐quality data from Taizhou, eastern China were included. Period analysis was used to calculate 5‐year relative survival (RS) for overall and the stratification by sex, age at diagnosis and region. The projected 5‐year RS of CRC patients during 2019–2023 was also assessed using a model‐based period analysis. Results Overall 5‐year RS for patients with CRC during 2014–2018 reached 78.8%, being 74.9% for men and 86.1% for women. 5‐year RS declined along with aging, decreasing from 84.1% for age < 45 years to 48.9% for age > 74 years, while 5‐year RS for urban area was higher compared to rural area (83.9% vs. 75.8%). Projected overall 5‐year RS of CRC patients could reach 85.9% during the upcoming period 2019–2023. Conclusions We provided, for first time in China using period analysis, most up‐to‐date 5‐year RS for patients with CRC from Taizhou, eastern China and also found 5‐year RS for CRC patients have improved greatly during 2004–2018.
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