Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of interventions promoting monitoring of medication use and brief messaging on medication adherence for people with type 2 diabetes: systematic review of randomised trials

Aims We aimed to assess the impact of interventions promoting monitoring of medication use and brief messaging to support medication adherence in patients with Type 2 diabetes mellitus (DM), and investigate the extent of theory use to guide intervention development. Methods We systematically searched for controlled trials, published from 1990 onwards in Medline, Embase, CINAHL, PsycINFO and Cochrane library, evaluating interventions based on monitoring and brief messaging to support medication adherence in Type 2 DM patients, to examine their effectiveness. Results Eleven trials (comparing fifteen interventions) were identified. Only a small minority presented a low risk of bias. Three interventions were based on delivering brief messages, six on monitoring medication adherence, and six used both strategies. Messaging interventions included use of SMS text-messages, web-based feedback, and messages delivered through monitoring devices. Monitoring interventions included remote self-reporting of medication and telephone calls with healthcare staff. Improvements in medication adherence were observed in six interventions, although effect sizes were generally moderate. Only two interventions improved both adherence and clinical outcomes. A meta-analysis of five trials (eight interventions) combining monitoring and messaging strategies showed that the pooled difference in medication adherence between intervention and control was moderate and not statistically significant (standardised mean difference = 0.22 [95% confidence interval –0.05; 0.49]). Only four trials were based on explicit theoretical frameworks.
An Appraisal Theme for Deep Position Specific Tracing

- In this paper an appraisal theme for visual tracing by using CNN. Due to various uncertain changes of articles online, such as sudden motion, background position and large deformation, the visual tracing is still a stimulating task. Hear a novel Theme for Deep Position-Specific Tracing. It differ the different criteria like quantization task and a grouping task, and in orders an individual network for each task. The quantization network achievements the data in the current edge and provides a selected position to improve the probability of successful tracing, while the grouping network finds the target in the middle of many examples generated around the target position in the previous edge, as well as the one predictable from the quantization network in the current edge. CNN based tracers often have substantial number of usable parameters, and are prone to over-fitting to some particular position states, leading to less precision or tracing error.
PREPARATION AND CHARACTERIZATION OF FLOATING TABLETS OF DILTIAZEM HYDROCHLORIDE BY USING NATURAL POLYMERS

: The aim of present research work is to formulate and evaluate controlled release floating tablet of Diltiazem hydrochloride in view to enhance bioavailability and therapeutic action. The tablets were formulated by employing wet granulation method using PVP K 30 as binder and isopropyl alcohol as granulating fluid. The granules were evaluated for flow properties. All the formulations showed values within the prescribed limits for tests like hardness, friability and weight variation which indicate that the prepared tablets are of standard quality. All the tablets were formulated using sodium bicarbonate as effervescent agent. All the prepared formulations floated immediately after placing into the beaker and the floating was maintained more than 14 hrs. It was observed that the carbon dioxide generated from sodium bicarbonate in presence of dissolution medium(0.1N HCL) was trapped in the polymer gel matrix formed by the hydration of polymer which decreases the density(<1) and makes the tablet buoyant. The correlation coefficient values (r) revealed that the dissolution profiles followed Zero order kinetics and the mechanism of drug release was governed by Peppas model. The n values are found to be more than 0.5 (n>0.5) indicted that the drug release was predominantly controlled by non fickian diffusion. Based on the release rate constant and % of drug release the formulations prepared with Moringa oleifera gum shown prolonged retarding nature compared with the formulations prepared with Cashew nut tree gum. Among all the formulations, F 3 formulation containing drug and Moringa oleifera gum in 1:1.5 ratios was found to be optimized formulations.
Evolution of Aromatic (cid:2) -Glucoside Utilization by Successive Mutational Steps in Escherichia coli

The bglA gene of Escherichia coli encodes phospho- (cid:2) -glucosidase A capable of hydrolyzing the plant-derived aromatic (cid:2) -gluco-side arbutin. We report that the sequential accumulation of mutations in bglA can confer the ability to hydrolyze the related aromatic (cid:2) -glucosides esculin and salicin in two steps. In the ﬁrst step, esculin hydrolysis is achieved through the acquisition of a four-nucleotide insertion within the promoter of the bglA gene, resulting in enhanced steady-state levels of the bglA transcript. In the second step, hydrolysis of salicin is achieved through the acquisition of a point mutation within the bglA structural gene close to the active site without the loss of the original catabolic activity against arbutin. These studies underscore the ability of microorganisms to evolve additional metabolic capabilities by mutational modiﬁcation of preexisting genetic systems under selection pressure, thereby expanding their repertoire of utilizable substrates. for growth ﬁrst on esculin and then on salicin. We show that bglA encoding phospho- (cid:2) -glucosidase A speciﬁc for arbutin is the target of mutations that enable hydrolysis of esculin and salicin in two sequential steps without the loss of its primary catabolic activity against arbutin.
LYMPHOID NEOPLASIA RNA i screening uncovers Dhx9 as a modi ﬁ er of ABT-737 resistance in an E m - myc /Bcl-2 mouse model

were selectively depleted in the presence of ABT-737. Of these, 2 independent shRNAs targeting the RNA/DNA helicase Dhx9 were found to sensitize lymphomas to ABT-737 to an extent comparable to control Mcl-1 shRNAs. Although Dhx9 suppression sensitized both mouse and human cells to ABT-737 treatment, it did so without altering MCL-1 levels. Rather, loss of Dhx9 appeared to activate a p53-dependent apoptotic program, through aggravation of rep-licativestress,whichwasfoundtobebothnecessaryandsufficientfortheABT-737–shDhx9syntheticlethalrelationship. ( cells. As well, our results suggest that inhibitors of Chk1 (currently undergoing extensive clinical evaluation), which have proven to be effective as single agents against Myc-driven cancers, may synergize with ABT-737 and perhaps broaden their applicability in cancer therapies. Our study provided novel insight into Dhx9 biology and
Potentials of Bio-inspired Generative Design Approaches: How are they related to sustainable design?

Generative computational design approach is highly linked to the neo materialism concept of “morphogenesis”, thus possessing biological inspiring characteristics. Generative design’s relevance to perfomative digital design reveals the potential of integrating itself with sustainable design objectives. Rather than simply being a form finding tool, generative design could be a bottom-up process for achieving top-down sustainable goals. This relation combines stakeholders of form, building behavior and integration of multiple behaviors, as well as design methodology of using environmental factors as system inputs and a multiple objective optimization process using genetic algorithms (GA). Example of personal experiments as a whole workflow of generating environmental-affected forms and then optimizing the genome with sustainable fitness criteria is introduced
E¡ective isolation of bacterioplankton genus Polynucleobacter from freshwater environments grown on photochemically degraded dissolved organic matter

Effective isolation of freshwater bacterioplankton belonging to genus Polynucleobacter from a shallow eutrophic lake and its tributary was achieved by size-selective ﬁltration with a 0.7- m m pore ﬁlter and cultivation on R2A agar medium. Partial 16S rRNA gene analysis showed that over 80% of all the strains were highly similar to the Polynucleobacter cluster. Essential medium components for effective cultivation are pyruvate, yeast extract and peptone, whereas soluble starch and glucose are not necessary. Isolate KF001 (afﬁliated with Polynucleobacter subcluster D) has a strict requirement for organic acids as carbon sources, and we hypothesize that the Polynucleobacter cluster of bacteria could utilize compounds formed via photochemically dissolved organic matter (DOM) degradation for growth. compounds were by KF001 in this study. Finally, we observed the stimulation of strain KF001 activity by photochemical degradation of natural lake water. Our ﬁndings suggest a carbon ﬂow of DOM photoproducts to Polynucleobacter in the freshwater microbial loop. analysis raw A 595nm values of each plate at 0 and 72 h were ﬁrst normalized by comparison with the appropriate control well containing water and no carbon source, and then the difference between A 595nm data at 72 h and the A 595nm data at 0 h was calculated. The cutoff point between negative results and positive results occurred at an A 595nm value of 0.15. Each strain was analyzed in at least four independent experiments using separately prepared inocula.
of reporting of in randomised controlled trials of pharmacological interventions for rheumatoid arthritis: a systematic review

Background: The quality of reporting of harms data in randomized controlled trials (RCTs) has been reported to be suboptimal. Rheumatoid arthritis (RA) has seen a massive growth in novel pharmacotherapies in the last decade. The aim of this study was to assess the quality of reporting of harms-related data in RCTs evaluating pharmacological interventions for Rheumatoid Arthritis according to the Consolidated Standard of Reporting Trials (CONSORT) statement harms-reporting extension. Methods: RCTs published between January 2011 and August 2016 in the five highest impact factor journals in general medicine and two in rheumatology subject categories as per 2015 journal citation reports were included. Reports of secondary, supplementary or exploratory analyses of RCTs and non-inferiority trials were excluded. Two reviewers independently extracted data using a structured, pilot-tested 18-item questionnaire developed based on CONSORT harms-extension recommendations. Results: 68 RCTs were included in the review. Out of a maximum harms reporting score of 18, the mean (SD) score was 8.51 (3.5) (Range = 0 to 15). More than half (56.5%) of the RCTs reported less ≤ 50% of items and only 3 (4.3%) RCTs reported more than 70% (score ≥ 14) of the items. Multilinear regression analyses found that region of trial origin (P = 0.01), sample size (P = 0.001) and whether the study was a long-term extension (LTE) of a trial or not (P = 0.04) were independent predictors associated with higher total harms reporting score. Limitations: The study findings may not be generalizable to non-RA RCTs published in included journals. Conclusions: The adherence to CONSORT harms-extension was poor in recently published RCTs of pharmacological interventions for RA. There is a need to improve quality of harms reporting in RCTs to allow transparent and balanced assessment of the benefit-risk ratio in clinical decision-making.
Analysis and Veriﬁcation of a Cogging Torque Reduction Method for Variable Flux Memory Permanent Magnet Machine

: In this paper, an analytical method based on the series transform and skewed slot structure of rotor is adopted to reduce the cogging torque of the variable ﬂux memory permanent magnet (VFMPM) machine. Firstly, the theory analysis of the cogging torque of the VFMPM machine was completed. Secondly, a simulation model of the VFMPM machine was established, aiming at calculating the cogging torque of the VFMPM machine and verifying the correctness of the above analytical method. Thirdly, a prototype of 14 rotor slots and 12 stator slots of the VFMPM machine was manufactured, and the experimental results of the cogging torque of the VFMPM machine further veriﬁed the effectiveness of the above mentioned theory analysis. Besides, the load force of the VFMPM machine including the cogging torque was also tested and analyzed in this paper.
Real Time Implementation of Parallel Distributed Compensator design for Non Linear Tank

— In this paper, Parallel Distributed Compensator (PDC) method is designed and implemented in a nonlinear process. The non linear process considered in this paper is single Cylindrical Tank. Firstly, the system is obtained using System Identification. A paramount feature of the plant is its nonlinearity. To control the level of water the nonlinear model of the system is linearized around two different operating points. Then, two PI controllers are designed for the operating points, using Skogestad’s tuning method. The examination results demonstrated the predominance of the PDC-controller over the traditional PI-controller.
Present and prospects for multi-aged silviculture in Chilean temperate forests: Targeting secondary forests in transition and partially harvested old-growth forests

Valdivian Temperate Rainforests in Chile have a global conservation value, but nowadays many correspond to secondary forests following regeneration in agricultural and burned lands, and to high-graded old-growth due to mismanagement, especially at mid to low elevations. Perspectives for increasing old-growth attributes in these productive forests through silviculture are high considering the diverse demands of ecosystem services and the high timber value of tree species. In the Llancahue experimental forest (40°S Lat) we implemented three ecological silviculture approaches: variable-density thinning in a Nothofagus dombeyi secondary forest (NDS), irregular shelterwood in a mature N. dombeyi forest (NDM), and single-tree selection cutting in a partially harvested old-growth forest (OG). Based upon an old-growth index (OGI) that includes density, basal area (BA), BA of the trees >80 cm in diameter, ba of shade-tolerant species, and the Gini coefficient, and aims to estimate how close a given forest is to a typical old-growth forest, these forests had a 22, 22, and 62% OGI before management. The OGI remained similar or declined following management, but 7–10 years after management it increased in NDS and NDM and declined in the OG (significant changes only in NDM and OG). We discuss these results considering that managed forests should target for an OGI ≈70% rather than maximum values. These managed forests contribute to halt degradation, mitigate climate change (carbon stores in the forest and in timber), and may have greater adaptive capacity to disturbances. We discuss perspectives for the potential scale-up of implementing these approaches.
Characterization of the immune related lncRNAs in bladder cancer to aid immunotherapy

Bladder cancer (BLCA) is the 10th most common form of cancer worldwide. Currently, the response rate of BLCA patients to novel immunotherapy and immune checkpoint inhibitor (ICI) treatment is around 30% or less. Therefore, there is an urgent clinical demand to understand the regulation of immune function in BLCA patients. LncRNAs are known to play fundamental roles in the regulation of the immune system in the tumor microenvironment. In this report, we performed a comprehensive analysis to identify immune-related lncRNAs (IRLs) in BLCA patients using The Cancer Genome Atlas (TCGA) databases. BLCA patients were divided into five TME subtypes. Subtype HMIE was strongly related to survival and high anti-tumor activity of patients. Through a four-step analysis, we identified 34 IRLs as subtype HMIE related lncRNAs (HMIE-lncs). The correlation analysis with immune cell infiltration and target gene pathway enrichment showed that 34 HMIE-lncs were correlated with immune cell activation and tumor cell killing. Among them, 24 lncRNAs were related to good prognosis. We constructed a risk model to predict BLCA. Cross tumor validation was performed, and the results showed that the 34 HMIE-lncs identified in the BLCA patients in this study were highly expressed in the immune-favorable TME subtype (IE) in most of the other cancer types. Graphical Abstract According to previous reports of four subtypes of tumor patients, we further divided subtype IE into two subtypes of HMIE and LMIE in bladder cancer. Further analysis through four steps identified 34 immune-related lncRNAs (IRLs) in the HMIE subtype. Of these, 24 lncRNAs are related to good prognosis. Following validation, a risk model was constructed to predict BLCA. Cross tumor type studies confirmed that 34 HMIE-lncs were highly expressed in immune-favorable TME subtype (IE) in most of cancers, and Imvigor210 immunotherapy cohort were used to validate these lncRNAs.
Eligibility, uptake and response to germline genetic testing in women with DCIS

Background Ductal carcinoma in situ (DCIS) is a malignant, yet pre-invasive disease of the breast. While the majority of DCIS have low risk of recurrence, a subset of women with germline pathogenic variants (PV) in cancer predisposition genes are at increased risk for recurrence. Uptake of genetic testing and subsequent surgical intervention in women with DCIS has not been well-studied. The aim of this study was to evaluate test eligibility parameters, uptake of clinical testing, impact on surgical decision making and second cancer events (SCE) in women with DCIS. Methods Four-hundred eighty-four women diagnosed with unilateral DCIS 2001-2020 were eligible for this study. Demographic, commercial genetic test results and surgical procedures were extracted from the database. Test-eligibility was assigned using National Comprehensive Cancer Network (NCCN) criteria. Panel genetic testing was performed in the research laboratory across 94 cancer predisposition genes. Statistical analyses were performed using Fisher’s exact tests and Chi-square analyses with p < 0.05 defining significance. Results Forty-four percent of women were test-eligible at diagnosis of which 63.4% pursued genetic testing before definitive surgery; 9.9% pursued testing only after a second cancer event. Bilateral mastectomy (BM) was significantly higher (p<0.001) in women who had testing before definitive surgery (46.9%) compared to those who had testing afterword (10.8%) and in women who underwent testing before definitive surgery with PV (75%) compared to those without PV (37.5%. p=0.045). Of the 39 women with PV, 20 (51.3%) were detected only in the research setting, with 7 (17.9%) of these women not eligible for genetic testing based on NCCN criteria. In women who did not undergo BM at diagnosis, SCE were significantly higher (p=0.001) in women with PV (33.3%) compared to those without PV (11.9%). Conclusion Pursuit of genetic testing and subsequent use of risk-reducing surgeries in women with PV was suboptimal in women with a primary diagnosis of DCIS. In conjunction, >50% of PV were detected only in the research setting. Because omission of genetic testing in women with DCIS may represent a lost opportunity for prevention, genetic testing at the time of diagnosis should be standard for all women with DCIS.
Plasma exosomal IRAK1 can be a potential biomarker for predicting the treatment response to renin-angiotensin system inhibitors in patients with IgA nephropathy

Background Renin-angiotensin system inhibitors (RASi) are the first choice and basic therapy for the treatment of IgA nephropathy (IgAN) with proteinuria. However, approximately 40% of patients have no response to RASi treatment. The aim of this study was to screen potential biomarkers for predicting the treatment response of RASi in patients with IgAN. Methods We included IgAN patients who were treatment-naive. They received supportive treatment, including a maximum tolerant dose of RASi for 3 months. According to the degree of decrease in proteinuria after 3 months of follow-up, these patients were divided into a sensitive group and a resistant group. The plasma of the two groups of patients was collected, and the exosomes were extracted for high-throughput sequencing. The screening of hub genes was performed using a weighted gene co-expression network (WGCNA) and filtering differentially expressed genes (DEGs). We randomly selected 20 patients in the sensitive group and 20 patients in the resistant group for hub gene validation by real-time quantitative polymerase chain reaction (qRT−PCR). A receiver operating characteristic (ROC) curve was used to evaluate hub genes that predicted the efficacy of the RASi response among the 40 validation patients. Results After screening 370 IgAN patients according to the inclusion and exclusion criteria and the RASi treatment response evaluation, there were 38 patients in the sensitive group and 32 patients in the resistant group. IRAK1, ABCD1 and PLXNB3 were identified as hub genes by analyzing the high-throughput sequencing of the plasma exosomes of the two groups through WGCNA and DEGs screening. The sequencing data were consistent with the validation data showing that these three hub genes were upregulated in the resistant group compared with the sensitive group. The ROC curve indicated that IRAK1 was a good biomarker to predict the therapeutic response of RASi in patients with IgAN. Conclusions Plasma exosomal IRAK1 can be a potential biomarker for predicting the treatment response of RASi in patients with IgAN.
Price-based low-carbon demand response considering the conduction of carbon emission costs in smart grids

The rapid development of the Industrial Internet-of-Things extends demand response (DR) research to the aspect of low-carbon emission in smart grids. This study proposed the concept of low-carbon DR (LCDR) in the electricity market as well as the price-based LCDR mechanism and its model. First, carbon cost conduction from the generation side to the demand side was analyzed, and then conduction function was quantifiably deduced. Second, the mechanism and model of price-based LCDR were proposed by considering three DR signals, namely, the electricity price, carbon price, and carbon emission intensity of the demand side, based on the traditional price-based DR (PBDR) mechanism. Third, the proposed LCDR mechanism was applied to the environmental–economic dispatch optimization problem. At last, case studies on the modified IEEE 39-bus system verified that the LCDR mechanism can reduce carbon emissions while maintaining the function of the traditional PBDR. Meanwhile, the applicability of LCDR was illustrated based on carbon emission sensitivity to LCDR model parameters. The proposed mechanism can guide participants in the electricity market in reducing electricity carbon emissions.