Miracle-dz/UniFAR-FTUs huggingface dataset:
Wavelet Neutral Network Forecasting Method for Water Consumption in Municipal Supply Water Networks

In order to improve the reliability and the practicability of optimal operation of water supply system, a forecasting method for water consumption in municipal supply water networks is put forward. This method is based on wavelet neutral network in which the nonlinear wavelet basis function is used as the transform function of neurons instead of sigmoid function. The wavelet network can be got by calculating the flexing and the expansion factors. Moreover, a rigorous arithmetic is proposed in theory. And also the network configuration can be scientifical confirmed through checking the arithmetic step by step. Compared with the ANN method, this (method) is easy in configuration decision and can overcome the local minimal problem. Simulation results show that this wavelet neutral network forecasting method has the advantages of high forecasting accuracy and strong (applicability.)
The Air-pressure Test System for Main Nozzle of Air-jet Loom and the Achievement of Data Measurement

The quality of is directly influenced by the performance of air-jet loom nozzle,so it is necessary to measure the pressure of air field which is formed by the nozzle.The hardware of CYG1500 micro pressure sensor,the DAQ equipment INV306DF and the software of DASP2005 are used in this system to achieve the acquisition,analysis,saving and display of the air-pressure signal,then the feasibility of this system is proved by field measurement.
Internal force and deformation of deep foundation pit under asymmetric water pressure

Based on the foundation pit of a subway station, the internal force and deformation of deep foundation pit under asymmetric water pressure and symmetric water pressure are comparatively analyzed by means of the two-dimensional finite element numerical method. The variation of the internal forces and deformation of supporting structures is obtained so as to provide experience and guidance for design and construction of similar projects. The results show that the supporting structures under asymmetric water pressure has some offset deformation toward the lower water pressure side, and the deformation at the higher water pressure side increases simultaneously. This deformation mode is harmful to the safety of the deep foundation pit and the environmental protection, but the asymmetric water pressure has little effect on the internal force distribution of the supporting structures. Compared with that under symmetric water pressure condition, the internal force at the higher water pressure side basically does not change, but the internal force at the lower water pressure side decreases significantly under asymmetric water pressure condition. The axial force of supporting structures reduces as the water level decreases, and the reduction basically equals to the water head difference between both sides. The consolidation settlement induced by dewatering of the late excavated soils inside the foundation pit causes the deformation of supporting structures.
Formalizing model transformation patterns

Model transformation has become an established field, and it is important to improve the quality of specifications written in transformation languages. Different transformation patterns have been introduced in the model‐driven engineering (MDE) community to improve the quality of transformation specifications. However, due to the different definitions of pattern concepts by different authors, it is difficult for practitioners to understand how to apply patterns in practice. Therefore, there is a need to unify transformation pattern concepts by presenting a generic metamodel and formalizing patterns in terms of this metamodel, to define the meaning of pattern application. In this research a general metamodel for definition of different design patterns in model transformation is provided. The metamodel presents clear description of common aspects of transformation patterns, which facilitates the application of patterns on model transformations by validating the application against the underlying formalism. Additionally, a unified and precise terminology for the application and verification of model transformation patterns by using a formal model of model transformation patterns in the Z notation is presented. To show the applicability of the proposed formalism, four well‐known model transformation patterns are specified.
Serum Metabolomic Analysis of Radiation-Induced Lung Injury in Rats

Radiation-induced lung injury is a common complication of radiotherapy for lung cancer, breast cancer, esophageal cancer, and thymoma. This study aims to illustrate biomarkers of radiation-induced lung injury and its potential mechanism through the study of metabolomic alterations in serum of Sprague-Dawley rats with different radiation doses. Serum from 0, 10, or 20 Gy irradiated rats were collected and subjected to gas chromatography-mass spectrometry. The result showed that there were 23 dysregulated metabolites between the 10 Gy irradiation group and the 0 Gy control group, whereas 36 preferential metabolites were found between the 20 Gy irradiated rat serum and the control groups. Among them, there were 19 common differential metabolites in the 2 irradiation groups, including 3 downregulated (benzyl thiocyanate, carbazole, and N-formyl-L-methionine) and 16 upregulated metabolites. We further analyzed the metabolic pathways of different metabolites; the results showed that there were 3 significant enrichment pathways in the 10 Gy vs 0 Gy group and 7 significant enrichment pathways in the 20 Gy vs 0 Gy group. Among them, taurine and hypotaurine metabolism, riboflavin metabolism, and glyoxylate and dicarboxylate metabolism were the common metabolic enrichment pathways of the 10 Gy vs 0 Gy group and the 20 Gy vs 0 Gy group.
Investigation of the microbial community structure and diversity in the environment surrounding a veterinary antibiotic production factory

The ecological toxicity caused by antibiotic residues and resistance genes in the environment affects the community structures and activities of environmental microorganisms; the ecological toxicity effects of a long-term exposure to low doses antibiotic residues on microorganisms have not however been well-studied. In this work, sequence analysis and species annotation of the full-length 16S rRNA gene were carried out on the extracted whole genome by a 3-generation sequencing method to analyze the diversity of the microbial populations and the population differences among different sampling sites in the environment surrounding a veterinary antibiotic production factory. A total of 1720 OTUs (Operational Taxonomic Unit, OTU) were found, of which 1055 OTUs were in the river samples and 993 OTUs were in the soil samples. 643 and 438 bacterial strains were identified in the river water and soil samples respectively. The bacterial populations are classified into 29 phylum, 612 genus, and 849 species. The dominant phylum of bacteria was Proteobacteria, which was also the absolutely dominant phylum. Shannon diversity index of the bacteria showed that the bacterial abundance in downstream river was significantly higher than that in an upstream non-polluted area (P < 0.001), but the difference of bacterial abundance between soil samples was not significant. There were 61 biomarkers in the river water samples from different sampling points, and 14 biomarkers in soil samples. It was found by the difference statistics of the microbial community that there are multiple biomarkers between this veterinary drug production site and the upstream non-polluted area. Significant differences between multiple functional genes were also found in metabolic pathways of the microorganisms. A similar trend was found for the distribution of antibiotic resistance genes (ARGs). It is concluded that the population composition of microorganisms and diversity are likely related to antibiotic residues and to the distributions of ARGs in the environment surrounding the antibiotic production factory.
Why should we perform pulmonary function test before coronary artery bypass grafting?

Objectives: In this study, we aimed to examine the relationship between preoperative pulmonary function test (PFT) parameters and postoperative length of invasive mechanical ventilation (IMV), length of intensive care unit (ICU) and hospital stay in patients who underwent coronary artery bypass grafting (CABG). Patients and methods: Between October 2017 and July 2018, a total of 100 patients (84 males, 16 females; mean age: 61.1±10.0 years; range, 41 to 85 years) who underwent elective CABG surgery for the first time and who did not have any additional cardiac problems, except for coronary artery disease, had an ejection fraction (EF) of ≥30% and underwent preoperative PFTs were retrospectively analyzed. The percent forced vital capacity (FVC %) predicted from the PFT values and percent forced expiratory volume in 1 sec (FEV1%) were recorded. An IMV duration of ≤12 h was considered normal and >12 h was considered prolonged. A length of ICU stay for ≤24 h was considered normal and >24 h was considered prolonged. A length of hospital stay for ≤7 days was considered normal and >7 was considered prolonged. Results: As the predicted FVC (%) value decreased in the preoperative PFTs, the length of IMV, length of ICU and hospital stay increased significantly (p=0.040, p=0.036, p=0.009, respectively). In terms of the predicted FEV1 (%) value, as the predicted FEV1 (%) value decreased, the duration of IMV, length of ICU and hospital stay prolonged (p=0.023, p=0.044, p=0.024, respectively). Conclusion: It is possible to have an idea about postoperative duration of ventilation, ICU and hospital stay based on PFT parameters. Also, the result would be more realistic when adapted to existing scoring systems to assess postoperative complications. Therefore, we believe that scoring systems for evaluating complications after cardiac surgery should include not only chronic lung disease, but also PFT parameters that give a more detailed information.
Family Socialization and Experiences of Early Childhood Programs in the Rohingya Camps: Study Protocol

Objective of Protocol: The primary objective of this protocol is to record the process of conceptualizing a semi-structured interview protocol, training enumerators on the protocol, collecting data, translating findings into English, and analyzing data in English and Bengali, in a study of family socialization among a stateless and conflict-affected population, Rohingya refugees, in Cox’s Bazar, Bangladesh. Research Questions of Study: (1) What are the socialization goals that mothers have for their children, and how do they perceive these goals in relation to their future or current roles as caregivers? (2) What are parents’ experiences with their children’s participation in Humanitarian Play Labs (education/child care provisions in the camps), and what are their perceptions of how their child’s participation in the programs has influenced their child/family? (3) What were the experiences of parents with their children as they migrated from Myanmar to Bangladesh? Design of Study: The design of the study involved a qualitative grounded theory approach based on an analysis of the participants’ responses to a semi-structured interview protocol. Study population: Participants included a purposive sample of 28 mother/father dyads in the Rohingya camps in Cox’s Bazar.
Clinical efficacy and safety outcomes of bempedoic acid for LDL-C lowering therapy in patients at high cardiovascular risk: a systematic review and meta-analysis

Objectives Bempedoic acid (BA) is a novel oral low-density lipoprotein cholesterol lowering drug. This systematic review and meta-analysis aims to assess efficacy and safety for clinical outcomes in high cardiovascular (CV) risk patients. Data sources MEDLINE, Cochrane Central Register of Controlled Trials, Google Scholar, Embase, ClinicalTrials.gov, Clinical Trial Results and the American College of Cardiology web site were searched. Study selection Randomised controlled trials (RCTs) of BA versus placebo in high CV risk patients reporting clinical outcomes were included. Main outcomes and measures Primary efficacy outcomes were major adverse cardiovascular events (MACE), all-cause mortality, CV mortality and non-fatal myocardial infarction (MI). Safety outcomes included new onset or worsening of diabetes mellitus (DM), muscular disorders, gout and worsening of renal function. Results Six RCTs with a total of 3956 patients and follow-ups of four to 52 weeks were identified. Heterogeneity mainly derived from differing follow-up duration and baseline CV risk. No difference in MACE (OR 0.84; 95% CI 0.61 to 1.15), all-cause mortality (OR 2.37; CI 0.80 to 6.99) and CV mortality (OR 1.66; CI 0.45 to 6.04) for BA versus placebo was observed. BA showed beneficial trends for non-fatal MI (OR 0.57; CI 0.32 to 1.00) and was associated with a lower risk of new-onset or worsening of DM (OR 0.68; CI 0.49 to 0.94), but higher risk of gout (OR 3.29; CI 1.28 to 8.46) and a trend for muscular disorders (OR 2.60; CI 1.15 to 5.91) and worsening of renal function (OR 4.24; CI 0.98 to 18.39). Conclusion BA in high CV risk patients showed no significant effects on major CV outcomes in short-term follow-up. Unfavourable effects on muscular disorders, renal function and gout sound a note of caution. Hence, further studies with longer term follow-up in carefully selected populations are needed to clarify the risk/benefit ratio of this novel therapy.
An adaptability study of Gaussian equation applied to predicting ground settlements induced by tunneling in China

Gaussian equation suggested by professor Peck in 1969 is one of the most popular-used methods to predict the soft ground movement induced by shallow tunneling work. The application of this method in China should be carefully verified and evaluated since it was suggested based on case history studies. Because of the lack of the well-compiled measured data in China, there is no clear conclusion on the adaptability of the Gaussian equation to predict the ground movement induced by the metro tunneling until now. Based on the collection of the published case history analysis, including more than 30 sets of measured data from eight areas in China, the accuracy of the Gaussian equation applied to predict the ground settlement is discussed and evaluated in detail. some typical key parameters are also suggested to the designers.
GPX4 Plays a Crucial Role in Fuzheng Kang’ai Decoction-Induced Non-Small Cell Lung Cancer Cell Ferroptosis

Background: Fuzheng Kang’ai decoction (FZKA) has been widely used to treat Non-Small Cell Lung Cancer (NSCLC) patients in China for decades, showing definitively curative effects in clinic. Recently, we found that FZKA could induce NSCLC cell ferroptosis, another type of programmed cell death (PCD), which is totally different from cell apoptosis. Therefore, in the present study, we aim to discover the exact mechanism by which FZKA induces NSCLC cell ferroptosis, which is rarely studied in Traditional Chinese Medicine (TCM). Methods: Cell proliferation assay were performed to detect the cell viability. Cell ferroptosis triggered by FZKA was observed by performing lipid peroxidation assay, Fe2+ Ions assay, and mitochondrial ultrastructure by transmission electron microscopy. Ferroptosis inhibitors including liproxstatin-1 and UAMC 3203 were used to block ferroptosis. The ratio of GSH/GSSG was done to measure the alteration of oxidative stress. Western blot and qRT-PCR were carried out to detect the expression of solute carrier family 7 member 11 (SLC7A11), solute carrier family 3 member 2 (SLC3A2) and glutathione peroxidase 4 (GPX4) at protein and mRNA levels, respectively. Lentivirus transfection was performed to overexpress GPX4 stably. Animal model was done to verify the effect of FZKA-induced ferroptosis in NSCLC in vivo and immunohistochemistry was done to detect the expression of SLC7A11, SLC3A2 and GPX4 at protein level. Results: First of all, in vitro experiments confirmed the inhibition effect of FZKA on NSCLC cell growth. We then, for the first time, found that FZKA induced NSCLC cell ferroptosis by increasing lipid peroxidation and cellular Fe2+ Ions. Moreover, characteristic morphological changes of NSCLC cell ferroptosis was observed under transmission electron microscopy. Mechanistically, GPX4, as a key inhibitor of lipid peroxidation, was greatly suppressed by FZKA treatment both at protein and mRNA levels. Furthermore, system xc− (SLC7A11 and SLC3A2) were found to be suppressed and a decreased GSH/GSSG ratio was observed at the same time when treated with FZKA. Notably, overexpressing GPX4 reversed the effect of FZKA-induced NSCLC cell ferroptosis significantly. Finally, the above effect was validated using animal model in vivo. Conclusion: Our findings conclude that GPX4 plays a crucial role in FZKA-induced NSCLC cell ferroptosis, providing a novel molecular mechanism by which FZKA treats NSCLC.
Serum Anion Gap is Associated with Risk of All-Cause Mortality in Critically Ill Patients with Acute Myocardial Infarction

Purpose Anion gap (AG) is a valuable and easily obtained clinical tool for differentially diagnosis of acid-base disorders. Current understanding of the prognostic impact of AG on mortality after acute myocardial infarction (AMI) is limited. We aimed to investigate whether AG is a predictor of short-term and long-term all-cause mortality after AMI. Patients and Methods We examined 1806 patients diagnosed with AMI in intensive care unit from the Medical Information Mart for Intensive Care III (MIMIC-III) database. We analyzed the association of AG with 30-day, 180-day and 1-year all-cause mortality on a continuous scale and in categories, using multivariable Cox regression. We utilized restricted cubic splines to evaluate the linearity between hazard ratio (HR) and AG concentrations. Results AG was associated with a higher risk of 30-day, 180-day and 1-year all-cause mortality, with adjusted HRs of 1.083 (95% CI 1.051 to 1.117), 1.077 (95% CI 1.049 to 1.105), and 1.074 (95% CI 1.047 to 1.101), respectively. The results were consistent in subgroup analyses. The association between AG and all-cause mortality was linear for 180-day and 1-year mortality, and near linear for 30-day mortality, as higher concentrations were associated with high all-cause mortality. When stratified according to quartiles, AG was associated with 30-day mortality (HR[95% CI]: second quartile, 2.243[1.273, 3.955]; third quartile, 3.026[1.763, 5.194]; top quartile, 4.402[2.573, 7.531]), 180-day mortality (HR[95% CI]: second quartile, 1.719[1.118, 2.645]; third quartile, 2.362[1.575, 3.542]; top quartile, 3.116[2.077, 4.676]), and 1-year mortality (HR[95% CI]: second quartile, 1.700[1.143, 2.528]; third quartile, 2.239[1.536, 3.264]; top quartile, 2.876[1.969, 4.201]) using bottom quartile as reference. Conclusion We firstly demonstrated that higher AG was significantly associated with increased 30-day, 180-day and 1-year all-cause mortality in AMI patients. AG as an easily obtained marker is of strong and reliable predictive value for AMI mortality during follow-up.
Tweeting terrorism: Vernacular conceptions of Muslims and terror in the wake of the Manchester Bombing on Twitter

ABSTRACT Both vernacular security studies and critical terrorism studies (CTS) offer constructivist analyses of security couched in understandings of security speak. However, neither adequately take account of the ways in which social media presents important opportunities for greater insight into how terrorism is constructed. This study analyses tweets posted after the 2017 Manchester bombing, exploring how jihadist terror attacks are constructed on social media. To do this, we combine social network analysis, as a sampling method, with discourse analysis. The study finds that Twitter provides a platform for diverse terrorism discourses to be expressed and contested. This indicates a literate lay audience within post-attack narratives, self-aware of dominant social constructions of “Muslim terrorism”. Indeed, it suggests an audience that, on Twitter, is hardly only audience but seeks to speak security itself. Insights are gleaned with respect to depicting, defending, and critiquing Muslims, constructing what it means to be a terrorist, portrayals of victimhood, and how terror events feed into broader critiques of “political correctness” and “liberal” politics. Therefore, the analysis also provides further insights into the portrayal and (self-)positioning of Muslims in the wake of a jihadist attack and nuances accounts of Muslims’ securitisation qua terror.
Inclusion and Withdrawal Criteria for Growth Hormone (GH) Therapy in Children with Idiopathic GH Deficiency—Towards Following the Evidence but Still with Unresolved Problems

According to current guidelines, growth hormone (GH) therapy is strongly recommended in children and adolescents with GH deficiency (GHD) in order to accelerate growth rate and attain normal adult height. The diagnosis of GHD requires demonstration of decreased GH secretion in stimulation tests, below the established threshold value. Currently, GHD in children is classified as secondary insulin-like growth factor-1 (IGF-1) deficiency. Most of children diagnosed with isolated GHD presents with normal GH secretion at the attainment of near-final height or even in mid-puberty. The most important clinical problems, related to the diagnosis of isolated GHD in children and to optimal duration of rhGH therapy include: arbitrary definition of subnormal GH peak in stimulation tests, disregarding factors influencing GH secretion, insufficient diagnostic accuracy and poor reproducibility of GH stimulation tests, discrepancies between spontaneous and stimulated GH secretion, clinical entity of neurosecretory dysfunction, discrepancies between IGF-1 concentrations and results of GH stimulation tests, significance of IGF-1 deficiency for the diagnosis of GHD, a need for validation IGF-1 reference ranges. Many of these issues have remained unresolved for 25 years or even longer. It seems that finding solutions to them should optimize diagnostics and therapy of children with short stature.
Users’ Perspectives on Ethical Issues Related to Playing Location-Based Augmented Reality Games: A Case Study of Pokémon GO

ABSTRACT Location-based augmented reality games are becoming increasingly popular, which causes a variety of tensions among players as well as between players and non-players. Subsequently, numerous ethical issues and challenges in designing and playing these games emerged. We conducted an online survey and analyzed 2,023 responses to better understand users’ participation in various game actions in location-based augmented reality games, and their perspectives on how ethical the actions are and for what reasons. We provide descriptive statistics showing people’s participation in these actions and analyze users’ expressed reasons as to why they think these actions are ethical or not. We use the theoretical lens of three ethical traditions–consequentialism, deontology, and virtue ethics–in our analysis, showing the dominance of consequentialism and deontology in people’s ethical judgment related to playing the game, and discuss implications and future consideration for game design.