Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainability Understanding and Behaviors across Urban Areas: A Case Study on Istanbul City

The success of urban sustainability is very much dependent on a number of human factors. Therefore, it becomes even more important to explore how people understand urban sustainability and how they behave accordingly. Based on a formerly developed conceptual framework and on specified influencing factors, this study aimed to evaluate and elucidate the urban sustainability understanding and behavior of individuals in the city of Istanbul. This was assessed through the use of a quantitative questionnaire survey of 535 respondents. Therein, socio-psychological processes of sustainability understanding (i.e., determinants of awareness, perception, and attitude) and sustainability behaviors along with personality traits and influential factors were assessed and analyzed through the use of bivariate and multivariate methods (i.e., correlation tests, ANOVA, t-tests, and multiple linear regression). The results showed that sustainability awareness was more strongly correlated with attitude than perception, whereas behavior was found to be strongly correlated with both awareness and attitude and was (significantly) predicted by all determinants. The associations/influences of personality traits with determinants were found to be mostly insignificant. Conversely, for behavior, they were significant. The most influential factors found (in hierarchical ordering) were awareness of consequences, trust in society, social appraisement, world-mindedness, willingness to pay, trust in science and technology, ascription of responsibility, age and gender.
Arsenite Depletion by Manganese Oxides: A Case Study on the Limitations of Observed First Order Rate Constants

Arsenic (As) contamination of drinking water is a threat to global health. Manganese(III/IV) (Mn) oxides control As in groundwater by oxidizing more mobile AsIII to less mobile AsV. Both As species sorb to the Mn oxide. The rates and mechanisms of this process are the subject of extensive research; however, as a group, study results are inconclusive and often contradictory. Here, the existing body of literature describing AsIII oxidation by Mn oxides is examined, and several potential reasons for inconsistent kinetic data are discussed. The oxidation of AsIII by Mn(III/IV) oxides is generally biphasic, with reported first order rate constants ranging seven orders of magnitude. Reanalysis of existing datasets from batch reactions of AsIII with δ-MnO2 reveal that the first order rate constants reported for As depletion are time-dependent, and are not well described by pure kinetic rate models. This finding emphasizes the importance of mechanistic modeling that accounts for differences in reactivity between MnIII and MnIV, and the sorption and desorption of AsIII, AsV, and MnII. A thorough understanding of the reaction is crucial to predicting As fate in groundwater and removing As via water treatment with Mn oxides, thus ensuring worldwide access to safe drinking water.
Air-Resistant Lead Halide Perovskite Nanocrystals Embedded into Polyimide of Intrinsic Microporosity

Although cesium lead halide perovskite (CsPbX3, X = Cl, Br, or I) nanocrystals (PNCs) have been rapidly developed for multiple optoelectronic applications due to their outstanding optical and transport properties, their device fabrication and commercialization have been limited by their low structural stability, especially under environmental conditions. In this work, a new approach has been developed to protect the surface of these nanocrystals, which results in enhanced chemical stability and optical properties. This method is based on the encapsulation of CsPbX3 NCs into a polyimide with intrinsic microporosity (PIM-PI), 4,4′-(hexafluoroisopropylidene)diphthalic anhydride reacted with 2,4,6-trimethyl-m-phenylenediamine (6FDA-TrMPD). The presence of 6FDA-TrMPD as a protective layer can efficiently isolate NCs from an air environment and subsequently enhance their optical and photoluminescence stability. More specifically, comparing NCs treated with a polymer to as-synthesized nanocrystals after 168 h, we observe that the PL intensity decreased by 70% and 20% for the NCs before and after polymer treatment. In addition, the PNC film with a polymer shows a much longer excited-state lifetime than the as-synthesized nanocrystals, indicating that the surface trap states are significantly reduced in the treated PNCs. The enhancement in chemical and air stability, as well as optical behavior, will further improve the performance of CsPbBr3 PNCs yielding promising optical devices and paving the way for their production and implementation at a large scale.
Using Digital Storytelling as a Strategy for Enhancing EFL Writing Skills

The present study is aimed at analyzing the impact of digital sto-rytelling on English as a Foreign Language (EFL) pre-service teachers’ writing skills. The participants were 101 students, who were enrolled in four distance courses of the English Major at a private university in Ecuador. Their ages ranged between 19 and 22 years old. They were divided into one control (49) and one experimental (52) group since this study used a quasi-experimental approach combined with a mixed-method design. The instruments included a pre-question-naire, a pre-test, a post-questionnaire, and a post-test. The main findings show that there was a significant improvement in students’ writing skills, particularly in aspects related to grammar and vocabulary. In addition, digital storytelling us-ing Storybird was perceived as a useful strategy to develop the participants’ EFL writing skills since they were more engaged in activities that allowed them to demonstrate their knowledge when designing narrative projects.
Optimizing Outcomes in Extracorporeal Membrane Oxygenation Postcardiotomy in Pediatric Population

Abstract Extracorporeal membrane oxygenation (ECMO) is a rapidly emerging advanced life support technique used in cardiorespiratory failure refractory to other treatments. There has been an influx in the number of studies relating to ECMO in recent years, as the technique becomes more popular. However, there are still significant gaps in the literature including complications and their impacts and methods to predict their development. This review evaluates the available literature on the complications of ECMO postcardiotomy in the pediatric population. Areas explored include renal, cardiovascular, hematological, infection, neurological, and hepatic complications. Incidence, risk factors and potential predictors, and scoring systems for the development of these complications have been evaluated.
Water Utilities Challenges: A Bibliometric Analysis

The water utilities are under big pressure to guarantee water access to their customers with the right level of service and quality due to challenges such as climate change, aging infrastructure, water scarcity, and growing populations, which put pressure on their operations. The scientific community has worked intensively over the last years to propose solutions and alternatives for the utilities to improve their operation and management in order to overcome these challenges. This paper aims to review scientific contributions to this field. The result shows increasing awareness from the scientific community in this topic which translates into a growing number of publications since the beginning of the current century. This paper analyzes the evolution of the publications, identifies the main countries and institutions working in this field and their scientific relationships over time. It also identifies the main keywords in the literature, which are grouped into three main topics: water quality, water management, and water optimization. The development of smart technologies is accelerating the scientific production towards the topic of water optimization, which is acquiring more importance over the last years. Future trends of research are related to identifying specific challenges per country and the specific solutions proposed by the scientific community to address them and its feasibility to be applied in other places.
Chemformer: a pre-trained transformer for computational chemistry

Transformer models coupled with a simplified molecular line entry system (SMILES) have recently proven to be a powerful combination for solving challenges in cheminformatics. These models, however, are often developed specifically for a single application and can be very resource-intensive to train. In this work we present the Chemformer model—a Transformer-based model which can be quickly applied to both sequence-to-sequence and discriminative cheminformatics tasks. Additionally, we show that self-supervised pre-training can improve performance and significantly speed up convergence on downstream tasks. On direct synthesis and retrosynthesis prediction benchmark datasets we publish state-of-the-art results for top-1 accuracy. We also improve on existing approaches for a molecular optimisation task and show that Chemformer can optimise on multiple discriminative tasks simultaneously. Models, datasets and code will be made available after publication.
Learning Motivation as Intervening in the Influence of Social Support and Self Regulated Learning on Learning Outcome

The aim of this study is to examine the effect of social support and self-regulated learning on the learning outcomes in Islamic Education courses in the Management of Islamic Education, Faculty of Tarbiyah State Islamic State Institute for Islamic Studies of Madura. To achieve the purpose, the researcher used quantitative research method. The Participat in this study were 143 students students of Islamic Education Management Departement. This study draws samples using the probability sampling method with simple random sampling type, the sample is 105 students. Research Instrument used is questionnaire. The analysis of data in this study uses SPSS Version 24. From the research conducted, conclusions can be drawn as follows: 1) There is a simultaneous influence of social support and self-regulated learning on learning motivation, they are about 8.8%. This means that there are still 91.2% influenced by other variables. 2) There is a simultaneous influence of social support, self-regulated learning, and learning motivation on the learning of 6.5% which means that there are still 93.5% which is influenced by other variables.
Bank Efficiency Forecasting Model Based on the Modern Banking Indicators using a Hybrid Approach of Dynamic Stochastic DEA and Meta-heuristic Algorithms

Evaluating the Efficiency of banks is crucial to orient their future decisions. In this regard, this paper proposes a new model based on dynamic stochastic data envelopment analysis in a fuzzy environment by considering the modern banking indicators to predict the efficiency of banks, which belongs to the category of NP-hard problems. To deal with the uncertainty in efficiency forecasting, the mean chance theory has been used to express the constraints of the model and the expected value in its objective function to forecast the expected efficiency of banks. To solve the proposed model, two hybrid algorithms are designed by combining Monte Carlo (MC) simulation technique with Genetic Algorithm (GA) and Imperialist Competitive Algorithm (ICA). In order to improve the performances of MC-GA and MC-ICA parameters, the Response Surface Methodology (RSM) is applied to set their proper values. Also, a case study in the modern banking industry is presented to evaluate the performance of the proposed model and the effectiveness of the hybrid algorithms. The results showed that the proposed model has high accuracy in predicting efficiency. Finally, to validate the designed hybrid algorithms, their results are compared together in terms of accuracy and convergence speed to the solution.
Competition in a Wholesale Fuel Market—The Impact of the Structural Changes Caused by COVID-19

Liquid fuels obtained in refining crude oil are one of the most important energies in economic activity. The domestic wholesale market for liquid fuels is of decisive importance for price formation in the national economy. The noncompetitive behavior of the market players at this level of the distribution chain can significantly affect all downstream price levels and the producer–consumer surplus balance. Therefore, the competitiveness of this market should be screened and assessed regularly, especially when significant external factors change. This article attempts to evaluate the impact of structural changes on the global market of crude oil and energy products after the outbreak of the COVID-19 pandemic on the competitiveness of the wholesale fuel market in Poland. Using asymmetry of the reaction of product prices to changes in the prices of inputs as a marker of noncompetitive behavior and the NARDL model as a test specification, the price paths of market players before and after the occurrence of structural changes in the inputs’ processes were examined. Significant changes in the competitive behavior of players were revealed after the occurrence of structural changes at the beginning of the pandemic period in the year 2020. These changes may indicate enhanced competition and mitigation of potential market power abuse.
Comprehensive Analysis of the Expression and Prognosis for DCTPP1 gene in Breast Cancer

Background: Breast cancer is a common malignancy in women. DCTPP1 is a potential target for the development of antitumor drugs, and plays an important role in the process of DNA replication. Aims: To investigate the biological role of DCTPP1 gene, as well as its expression in breast cancer and its relation to patient prognosis. Materials and Methods: Breast cancer data was derived from the TCGA database. Using the UALCAN database, the expression level of DCTPP1 mRNA in breast cancer tissues was investigated. The expression of DCTPP1 in various pathological types of breast cancer was studied using the Human Protein Atlas. UALCAN was also used to investigate the relationship between DCTPP1 gene expression and breast cancer patient prognosis. Bioinformatics studied the proteins related to DCTPP1 expression and their roles in the GeneMANIA and WebGestalt databases. Results: DCTPP1 mRNA was significantly expressed in breast cancer compared to normal breast tissue (P<0.001). DCTPP1 was shown to be highly expressed in breast cancer tissues from different pathological types and stages (P<0.001). The DCTPP1 protein was expressed at a higher frequency in breast cancer than in normal breast tissue. When compared to patients with low DCTPP1 expression, patients with high DCTPP1 expression had a considerably shorter overall survival time. The 20 proteins related to DCTPP1 expression were mostly located in the nucleus and membrane, and were involved in biological regulation, stimulus response, metabolic process, and other processes, according to gene ontology analysis. It plays an important role in protein binding, ion binding, and nucleic acid binding. Conclusion: DCTPP1 is highly expressed in breast cancer, and is associated to a poor prognosis for patients with breast cancer. DCTPP1 may be a potential therapy and intervention target for breast cancer.
Human Capital, Radical Product Innovation, and Product Proliferation: Evidence from China

ABSTRACT This paper examines how firm-level human capital indicators influence product innovation using firm-level enterprise survey data from China conducted by the World Bank. The human capital indicators we use include the number of highly educated workers, the general manager’s education and tenure, and the management team’s education and age. We use the Logit, Negative Binomial, and linear Hurdle estimators to estimate the knowledge production function models that are augmented by our human capital variables. We find that human capital indicators have much more important effects in mid-sized cities than in metropolitan cities where R&D is the most important factor. Radical product innovation involves more human capital than product proliferation. Also, GM’s tenure has a positive effect on product innovation in mid-sized cities, while it has a negative effect in metropolitan cities. After taking the endogeneity of human capital indicators into account, our results still hold. Finally, we also examine moderating effects of market instability and competition.
Absorption and Strength Properties of Short Carbon Fiber Reinforced Mortar Composite

This paper presents the water absorption and strength properties of short carbon fiber reinforced mortar (CFRM) composite. Four CFRM composites with 1%, 2%, 3%, and 4% short pitch-based carbon fibers were produced in this study. Normal Portland cement mortar (NCPM) was also prepared for use as the control mortar. The freshly mixed mortar composites were tested for workability, wet density, and entrapped air content. In addition, the hardened mortar composites were examined for compressive strength, splitting tensile strength, flexural strength, and water absorption at the ages of 7 and 28 days. The effects of different carbon fiber contents on the tested properties were observed. Test results showed that the incorporation of carbon fibers decreased the workability and wet density, but increased the entrapped air content in mortar composite. Most interestingly, the compressive strength of CFRM composite increased up to 3% carbon fiber content and then it declined significantly for 4% fiber content, depending on the workability and compaction of the mortar. In contrast, the splitting tensile strength and flexural strength of the CFRM composite increased for all fiber contents due to the greater cracking resistance and improved bond strength of the carbon fibers in the mortar. The presence of short pitch-based carbon fibers significantly strengthened the mortar by bridging the microcracks, resisting the propagation of these minute cracks, and impeding the growth of macrocracks. Furthermore, the water absorption of CFRM composite decreased up to 3% carbon fiber content and then it increased substantially for 4% fiber content, depending on the entrapped air content of the mortar. The overall test results suggest that the mortar with 3% carbon fibers is the optimum CFRM composite based on the tested properties.
Message from Monte Carlo : a framework for minimum message length inference using Markov Chain Monte Carlo methods

xxi Acknowledgments . xxvii
Knowledge, Attitude and Practice of Mothers toward Children’s Vaccination at Alfatih One in Sudan

The aim of this study was to assess knowledge, attitudes and practice of mothers towards children’s vaccination. Background: Vaccine preventable diseases (VPD) are considered one of the main causes of sicknesses and deaths among children all over the world. Parents’ knowledge and attitude towards immunization are likely to influence uptake. Vaccination is one of the most cost-effective public health tools to prevent infectious diseases. This study assessed knowledge, attitudes and practice of mothers towards children’s vaccination. Design: Cross-sectional study was conducted from April 1st to May 1st in 2016 among mothers whose children under five years which was carried out at their home in Alfatih one. The sampling method used was simple random sampling. The first house was selected randomly according to availability of household list. Total number of mothers under study were 210 selected randomly from 400 mothers’ home. Structured interviewing sheets were used to assess sociodemographic data, knowledge, attitude and practice of mothers toward vaccination. The data were analyzed using SPSS (Stand for statistical product and service solutions) version 20. Results: It’s revealed that the correlation between knowledge and practice of the studied mothers was statistically insignificant. Conclusion: More than two third of studied mothers had poor knowledge, while on other hand their practice was good towards vaccination.
Correction of Metopic Craniosynostosis Using Limited Incision Strip Craniectomy Versus Open Fronto-Orbital Reconstruction: An Assessment of Aesthetic Outcomes

Supplemental Digital Content is available in the text Background: Metopic craniosynostosis is traditionally repaired with fronto-orbital advancement (FOA) or, alternatively, limited short scar strip craniectomy (LSSSC) followed by helmet therapy. There is controversy among surgeons regarding resultant head shape outcomes between the 2 methods. This study aims to assess how surgeons perceive the postoperative aesthetic results of the 2 metopic craniosynostosis repair methods. Methods: A retrospective analysis was performed on 13 (n = 6 LSSSC; n = 7 FOA) patients who presented for surgical correction of isolated metopic craniosynostosis via either LSSSC (followed by helmet therapy) or FOA. Clinical photographs at 1 year postop were shown to 10 craniofacial surgeons who rated the aesthetic outcomes on a Likert scale of 1 (poor) to 5 (excellent) and guessed which surgical method was performed. Results: Mean age at the time of the procedure was younger in LSSSC than FOA (3.1 ± 1.0 versus 17.5 ± 8.5 months; P < 0.001). Mean blood loss was significantly lower with LSSSC versus FOA (202.0 ± 361.2 versus 371.43 ± 122.9 mL; P < 0.001), as was mean blood transfusion requirement (92.5 ± 49.9 versus 151.3 ± 51.2 mL; P < 0.001) and mean duration of the operation (3:06 ± 0:24 versus 7:53 ± 0:31 hours; P < 0.001). Mean surgeon scores of aesthetic outcomes were similar between groups: LSSSC, 3.27 ± 1.09; FOA, 3.51 ± 0.95 (P = 0.171). When asked to identify which procedure patients had received, only 63.8% of responses were correct. Conclusions: Limited short scar strip craniectomy offers an important alternative to traditional open FOA and should be considered as an option for children diagnosed with metopic craniosynostosis.
Fast Pyrolysis of Wheat Straw—Improvements of Operational Stability in 10 Years of Bioliq Pilot Plant Operation

: The bioliq ® process developed at KIT aims at the conversion of lignocellulosic biomass into synthetic biofuels and chemicals. The process follows a two stage concept combining de-centralized pre-treatment of biomass via fast pyrolysis and centralized large scale gasification and synthesis. The process was specifically designed to convert ash-rich biomass residues, such as wheat straw, requiring special design features at least in the upstream processes. The 2 MW fast
Assessment of different domain impairments in Cognitive Functions and Functionalities found in Euthymic Patients with Bipolar Disorder I / II - during the early and late phases of the disease, using the FAB and FAST tests.

— Objective: In this study, we focus on assessing two key predictors and outcomes in Bipolar Disorder (BD), which are: cognition and functionality performance, dividing them into two subgroups, and then researching for a correlation between them. Methods; Fifty patients with BD in a euthymic system, hypothalamus, and neurotransmitter , the prefrontal cortex, insula, and anterior cingulate