Miracle-dz/UniFAR-FTUs huggingface dataset:
Eco-efficiency Analysis of Industrial Sector in China

Considering the society value,an indicator system for evaluating the eco-efficiency in the industrial sector in China was developed based on the eco-efficiency indicator system presented by World Business Council for Sustainable Development(WBCSD). The differentiation and main influencing factors of eco-efficiency in the industrial sector in China were calculated by the factor analysis model,and 39 industrial sectors in China were divided into 4 types based on the characters of eco-efficiency.The results showed that,in 2006,the main influencing factors of the eco-efficiency in the industrial sector in China could be reduced to energy and energy-related pollution factor,water and water-related pollution factor,eco-society efficiency factor.The differentiation of eco-efficiency in the industrial sector in China was significant,the whole level of eco-efficiency in the equipment manufacturing and electron sectors were the highest;the sectors based on the mining and processing of mineral products were high energy consumption,high pollution,low efficiency;the eco-efficiency in the papermaking and paper products sectors was the lowest.The differentiation of eco-efficiency in the industrial sector in China could be reflected reasonably,and it was used to provide suggestions for the sustainable development of the industrial sector in China.
Differentiated Integration and Europe’s Global Role: A Conceptual Framework

In a time of global challenges, rising geopolitical tensions and a weakening of the traditional trans-Atlantic security community, we can expect pressures for Europe to play a more important role in the world. Various initiatives have been taken to strengthen the role of the European Union (EU), but there are also tendencies towards a more complex European governance structure in the making, characterized by a combination of both EU and non-EU (but still European) initiatives. This introductory article presents a framework for studying a European role that includes initiatives taken within and outside the EU framework, but closely interlinked, indicating that the concept of differentiated integration (DI) may help to clarify Europe’s role in a changing and volatile global context. Differentiated Integration, Disintegration, EU as a global actor, EU foreign security and defence policy
A Second-Harmonic Suppression Method Based on Differentiated-Capacitance Design for Input-Parallel Output-Series DAB Fed Single-Phase VSI

In the single-phase voltage source inverter (VSI), the instantaneous output power pulsates at twice the line frequency, generating second-harmonic voltage in dc bus. Bulky electrolytic capacitors or additional auxiliary circuits are used in traditional methods, which inevitably limit the system lifetime, efficiency, and power density. In this article, the input-parallel output-series (IPOS) dual active bridge (DAB) with differentiated-capacitance design is adopted as the front-end dc–dc stage. The pulsating power is compensated by the energy gap that the differentiated output capacitors release. The small-signal model of the IPOS DAB fed VSI is built, and based on which, the voltage-complementary algorithm is proposed. Then, the preferred zone and optimization scheme of the main circuit parameters are designed according to the quantitative analysis of the suppressing effect. Furthermore, a 625-W IPOS DAB fed VSI design example is presented and tested. The experimental result shows that at least seven times the capacitance requirements can be reduced without any additional components, and the power quality of both the input current and the output voltage is well guaranteed.
Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques

With the advent of high-speed and parallel computing, the applicability of computational optimization in engineering problems has increased, with greater validation than conventional methods. Pitch angle is an effective variable in extracting maximum wind power in a wind turbine system (WTS). The pitch angle controller contributes to improve the output power at different wind speeds. In this paper, the pitch angle controller with proportional (P) and proportional-integral (PI) controllers is used. The parameters of the controllers are tuned by computational optimization techniques for a doubly-fed induction generator (DFIG)-based WTS. The study is carried out on a 9 MW DFIG based WTS model in MATLAB/SIMULINK. Two computational optimization techniques: particle swarm optimization (PSO), a swarm intelligence algorithm, and a genetic algorithm (GA), an evolutionary algorithm, are applied. A multi-objective, multi-dimensional error function is defined and minimized by selecting an appropriate error criterion for each objective of the function which depicts the relative magnitude of each objective in the error function. The results of the output power flow and the dynamic response of the optimized P and PI controllers are compared with the conventional P and PI controller in three different cases. It is revealed that the PSO-based controllers performed better in comparison with both the conventional controllers and the GA-based controllers.
Serum Asprosin Concentrations in Children with Prader–Willi Syndrome: Correlations with Metabolic Parameters

Children with Prader–Willi syndrome (PWS) are characterized by severe obesity. Asprosin is a newly discovered protein hormone produced by the white adipose tissue and is correlated with insulin resistance. The aim of our study was to describe the concentrations of serum asprosin in children with PWS compared to those with overweight/obesity and normal weight, and to explore the postprandial change in asprosin concentrations in participants with PWS and BMI-z matched controls. We enrolled 52 children, 23 with PWS, 8 with overweight/obesity, and 21 with normal weight. Fasting levels of asprosin, glucose, and insulin were collected in all children, and postprandial asprosin and fasting levels of acyl ghrelin (AG) and leptin were also determined in a subsample of participants. There were no significant differences among groups in fasting levels of asprosin, glucose, insulin, and HOMA-IR. Fasting serum asprosin and 1-h post-meal serum asprosin did not differ in children with PWS nor in BMI-z matched controls. Fasting asprosin showed an adjusted positive correlation with glucose in children with obesity (r = 0.93, p = 0.007) but not in children with PWS nor children with normal weight. Circulating asprosin might be a predictor of early alterations in glucose metabolism in children with obesity. More research is needed to further explain the association between asprosin, food intake, metabolism, and obesity in PWS.
PROGRESS IN WHEAT AND BARLEY HAPLOID INDUCTION USING ANTHER CULTURE

Anther culture procedures in wheat and barley have been improved by: the use of liquid media BAC I and its replenishment; studies on concentrations of auxins, sucrose, glucose, inositol, Fic.oll and agar (when used); anther innoculation density; culture temperatures; and pectolyase degradation of anther walls. A time schedule, technical procedures and hours required for the production of seed from doubled haploids in winter wheat are presented. Green haploid plant production is sufficient for the incorporation of these procedures into wheat breeding programmes. However, the currently used Bulbosum Method is more efficient for haploid use in barley breeding. Problems remaining are discussed.
Consumers’ Attitudes and Purchase Intention for a Vitamin-Enriched Extra Virgin Olive Oil

This study aims to examine Italian consumer preferences for extra virgin olive oil (EVOO) enriched with vitamins and to analyze the key drivers that affect consumer choices for this product. Specifically, we assessed consumers’ intention to purchase the enriched product compared to the conventional one. The methodology adopted inferential and multivariate statistical techniques: (1) exploratory factor analysis (EFA), (2) ordinary least squares regression (OLS) and (3) non-hierarchical clustering. This study appears to be the first research project related to exploring consumers’ interest in an extra virgin olive oil enhanced with vitamins, thereby providing preliminary indications. The main results represent a significant starting point for the development of new marketing strategies for the food industry.
Does Receiving Government Assistance Shape Political Attitudes? Evidence from Agricultural Producers

When individuals receive benefits from government programs, does it affect their attitudes toward those programs or toward government generally? A growing literature blends policy feedback theory and political behavior research to explore these questions, but so far it has focused almost exclusively on social policies such as the Affordable Care Act. In this article, we focus on a very different set of government programs that reach a more conservative, rural population: agricultural assistance. Our study ties administrative records on participation in USDA farm aid programs to an original, first-of-its-kind survey measuring agricultural producers’ political attitudes. We find that receiving agricultural assistance is sometimes related to producers’ views of the program delivering the benefits, but it depends on the divisiveness of the program and—for highly partisan programs—recipients’ ideology. However, receiving federal agricultural assistance is not associated with more positive views of government.
Comprehensive Assessment of Anaplastic Lymphoma Kinase in Localized and Metastatic Prostate Cancer Reveals Targetable Alterations

Anaplastic lymphoma kinase (ALK) is a tyrosine kinase with genomic and expression changes in many solid tumors. ALK inhibition is the first-line therapy for lung cancers with ALK alterations, and an effective therapy in other tumor types, but has not been well-studied in prostate cancer. Here, we aim to delineate the role of ALK genomic and expression changes in primary and metastatic prostate cancer. We determined ALK expression by IHC and RNA sequencing, and genomic alterations by NGS. We assessed functional consequences of ALK overexpression and pharmacologic ALK inhibition by cell proliferation and cell viability assays. Among 372 primary prostate cancer cases, we identified one case with uniformly high ALK protein expression. Genomic analysis revealed a novel SLC45A3-ALK fusion which promoted oncogenesis in in vitro assays. We observed ALK protein expression in 5 of 52 (9%) of metastatic prostate cancer cases, of which 4 of 5 had neuroendocrine features. ALK-expressing neuroendocrine prostate cancer had a distinct transcriptional program, and earlier disease progression. An ALK-expressing neuroendocrine prostate cancer model was sensitive to pharmacologic ALK inhibition. In summary, we found that ALK overexpression is rare in primary prostate cancer, but more frequent in metastatic prostate cancers with neuroendocrine differentiation. Furthermore, ALK fusions similar to lung cancer are an occasional driver in prostate cancer. Our data suggest that ALK-directed therapies could be an option in selected patients with advanced prostate cancer. Significance: Anaplastic lymphoma kinase (ALK) is a validated drug target in cancer. Here we delineate the spectrum of ALK alterations in prostate cancer. We show that ALK overexpression is present in advanced prostate cancers, in particular in cases with features of neuroendocrine carcinoma. Furthermore, ALK expression is associated with responses to pharmacologic ALK inhibition. Our study demonstrates that ALK-directed therapies should be considered in selected prostate cancer cases.
Perception of Velocity during Free-Weight Exercises: Difference between Back Squat and Bench Press

The perception of bar velocity (PV) is a subjective parameter useful in estimating velocity during resistance training. The aim of this study was to investigate if the PV can be improved through specific training sessions, if it differs between the back squat (SQ) and bench press (BP), and if there are differences in perception accuracy in the different intensity zones. Resistance-trained participants were randomly divided in an experimental (EG, n = 16) or a control group (CG, n = 14). After a familiarization trial, both groups were tested before and after 5 weeks of training. The PV was assessed with five blinded loads covering different intensity domains. During the training period, only the EG group received velocity feedback for each repetition. Prior to training, both groups showed a greater PV accuracy in the SQ than in the BP. Post training, the EG showed a significant reduction (p < 0.05) in the delta score (the difference between the real and perceived velocity) for both exercises, while no significant differences were observed in the CG. Prior to training, the perceived velocity was more accurate at higher loads for both exercises, while no difference between loads was observed after training (EG). The results of this study demonstrate that the PV improves with specific training and that differences in the accuracy between loads and exercise modes seen prior to training are leveled off after training.
Identification of a 5-Nutrient Stress-Sensitive Gene Signature to Predict Survival for Colorectal Cancer

Background The high heterogeneity and the complexity of the tumor microenvironment of colorectal cancer (CRC) have enhanced the difficulty of prognosis prediction based on conventional clinical indicators. Recent studies revealed that tumor cells could overcome various nutritional deficiencies by gene regulation and metabolic remodeling. However, whether differentially expressed genes (DEGs) in CRC cells under kinds of nutrient deficiency could be used to predict prognosis remained unveiled. Methods Three datasets (GSE70976, GSE13548, and GSE116087), in which colon cancer cells were, respectively, cultured in serum-free, glucose-free, or glutamine-free medium, were included to delineate the profiles of gene expression by nutrient stress. DEGs were figured out in three datasets, and gene functional analysis was performed. Survival analyses and Cox proportional hazards model were then used to identify nutrient stress sensitive genes in CRC datasets (GSE39582 and TCGA COAD). Then, a 5-gene signature was constructed and the risk scores were also calculated. Survival analyses, cox analyses, and nomogram were applied to predict the prognosis of patients with colorectal cancer. The effectiveness of the risk model was also tested. Results A total of 48 genes were found to be dysregulated in serum, glucose, or glutamine-deprived CRC cells, which were mainly enriched in cell cycle and endoplasmic reticulum stress pathways. After further analyses, 5 genes, MCM5, MCM6, CDCA2, GINS2, and SPC25, were identified to be differentially expressed in CRC and be related to prognosis of in CRC datasets. We used the above nutrient stress-sensitive genes to construct a risk scoring model. CRC samples in the datasets were divided into low-risk and high-risk groups. Data showed that higher risk scores were associated with better outcomes and risk scores decreased significantly with tumor procession. Moreover, the risk score could be used to predict the probability of survival based on nomogram. Conclusions The 5-nutrient stress-sensitive gene signature could act as an independent biomarker for survival prediction of CRC patients.
Streamlining out-of-court disposals: Assessing the impact on reoffending and police practice

Police services in England and Wales have developed varied approaches to the use of conditional cautions, and this study examines the effectiveness of one set of reforms: a Revised Conditional Caution Framework. With an overall aim of diverting offenders from the Criminal Justice System and addressing offenders’ criminogenic needs, various programmes of meaningful activity were mandated for offenders. The Revised Conditional Caution Framework refers offenders to a relevant ‘pathway’, to address their offending behaviour(s). If an offender fails to complete the activity within the relevant pathway, without good reason, they revert back through the court system. The aim of the Revised Conditional Caution Framework was to apply meaningful conditions to the conditional caution (e.g. alcohol educational intervention), to focus upon addressing the root cause of the offending behaviour. In this study, the authors evaluated the effectiveness of the Revised Conditional Caution Framework in reducing reoffending. The research was conducted between January 2018 and May 2019 and adopted a mixed methodology of qualitative and quantitative research; notably, focus groups with police officers, semi-structured interviews with offenders and pathway providers and an analysis of police data on offender compliance levels. We found that the Revised Conditional Caution Framework is perceived by many professionals and offenders to provide a platform for tackling the root cause of recidivism and thereby reducing reoffending. It is argued that the premise of Revised Conditional Caution Framework is one that conceives of offending in individualistic terms that pay insufficient attention to the social and economic context in which offending is situated. The article also raises questions about the impact of the Revised Conditional Caution Framework on police professionalism and argues that it might be understood as a restriction on the exercise of discretion since it further restricts officers’ scope to respond to offenders and criminal behaviour.
Prevention of Self-medication in Women of Reproductive Age Based on a Health Belief Model: A Quasi-experimental Study

Background: Women of reproductive age have important responsibilities such as pregnancy, breastfeeding, and children raising. This study aimed at surveying the effect of educational interventions, based on the health belief model (HBM), in the prevention of self-medication (SM) in women of reproductive age. Methods: This quasi-experimental study was performed on women of reproductive age in Jahrom in 2019 (January-September). Simple multi-stage random sampling was used to select the participants, and the sample size was determined 60 people for both intervention and control groups. Data collection tool was a questionnaire including demographic information and HBM construct questions. The questionnaire was completed in person by both groups before and three months after the educational intervention. The educational intervention was performed based on the HBM in the intervention group, including holding 4 educational sessions each lasting 60 minutes. The data were analyzed by SPSS 21 software using the chi-square test, paired t test, and independent t-test. Results: The results showed a significant difference between intervention and control groups in terms of knowledge, perceived severity, benefits, and barriers, as well as cues to action on the correct use of drugs after the intervention (P<0.05). Three months after the intervention, the practice mean of women in the intervention group was significantly decreased compared with the control group (P<0.001). Conclusion: Overall, educational intervention based on HBM was effective in preventing SM, but the extent of this effect varied for different HBM constructs. Nonetheless, measuring the effectiveness of the intervention based on the HBM in preventing SM behaviors requires studies with a long follow-up period.
Flat PVDF Membrane with Enhanced Hydrophobicity through Alkali Activation and Organofluorosilanisation for Dissolved Methane Recovery

A three-step surface modification consisting of activation with NaOH, functionalisation with a silica precursor and organofluorosilane mixture (FSiT), and curing was applied to a poly(vinylidene fluoride) (PVDF) membrane for the recovery of dissolved methane (D-CH4) from aqueous streams. Based on the results of a statistical experimental design, the main variables affecting the water contact angle (WCA) were the NaOH concentration and the FSiT ratio and concentration used. The maximum WCA of the modified PVDF (mPVDFmax) was >140° at a NaOH concentration of 5%, an FSiT ratio of 0.55 and an FSiT concentration of 7.2%. The presence of clusters and a lower surface porosity of mPVDF was detected by FESEM analysis. In long-term stability tests with deionised water at 21 L h−1, the WCA of the mPVDF decreased rapidly to around 105°, similar to that of pristine nmPVDF. In contrast, the WCA of the mPVDF was always higher than that of nmPVDF in long-term operation with an anaerobic effluent at 3.5 L h−1 and showed greater mechanical stability, since water breakthrough was detected only with the nmPVDF membrane. D-CH4 degassing tests showed that the increase in hydrophobicity induced by the modification procedure increased the D-CH4 removal efficiency but seemed to promote fouling.
Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier

The complexity of brain tissue requires skillful technicians and expert medical doctors to manually analyze and diagnose Glioma brain tumors using multiple Magnetic Resonance (MR) images with multiple modalities. Unfortunately, manual diagnosis suffers from its lengthy process, as well as elevated cost. With this type of cancerous disease, early detection will increase the chances of suitable medical procedures leading to either a full recovery or the prolongation of the patient’s life. This has increased the efforts to automate the detection and diagnosis process without human intervention, allowing the detection of multiple types of tumors from MR images. This research paper proposes a multi-class Glioma tumor classification technique using the proposed deep-learning-based features with the Support Vector Machine (SVM) classifier. A deep convolution neural network is used to extract features of the MR images, which are then fed to an SVM classifier. With the proposed technique, a 96.19% accuracy was achieved for the HGG Glioma type while considering the FLAIR modality and a 95.46% for the LGG Glioma tumor type while considering the T2 modality for the classification of four Glioma classes (Edema, Necrosis, Enhancing, and Non-enhancing). The accuracies achieved using the proposed method were higher than those reported by similar methods in the extant literature using the same BraTS dataset. In addition, the accuracy results obtained in this work are better than those achieved by the GoogleNet and LeNet pre-trained models on the same dataset.
DEVELOPMENT OF COMPUTER MODELLING SYSTEM AS A TOOL FOR LIGHT NAPHTHA ISOMERIZATION IMPROVMENT

Prediction and optimization of light naphtha isomerization is a complicated technological issue and includes a variety of factors and many independent parameters. The most effective solution is to use the mathematical modelling method of physical and chemical characteristic of the process. The comprehensive mathematical model was designed as a powerful tool for optimization. It is based on the influence of the feedstock composition for assessment of the current catalyst activity. According to the calculations, the optimal operating parameters are determined by the refined feedstock composition.