Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of supply-chains in the circular economy by means of VSM

The Circular Economy (CE) concept aims to close resource loops and keep resources in the system for as long as possible at the highest utility level, without neglecting the goals of sustainable development. This paradigm shift from a finite and linear to a circular economy is however only possible if systems can be viewed as holistic overall systems. Thus, preventive problems can be identified and located as early as possible and counteracting measures initiated. This paper presents a new value stream mapping (VSM) model to consider interrelated processes in a holistic manner, regarding the requirements of CE. To do so, one macro-level to consider interrelated company relationships together with a respective micro-level to consider the individual company specific processes are elaborated. The degree of circularity is determined based on the 9R framework and new visualizations and measurement indicators are added at the different levels. This new model helps to mainly identify hurdles at a product's end-of-life, which are preventing a circular flow of resources, worth sharing with the responsible of a product's beginning-of-life. The model itself is validated by an extensive cross-company PET-bottle case study in Luxembourg.
Ön Eğitimli Dil Modelleri Kullanarak Türkçe Tweetlerden Cinsiyet Tespiti

: Author Profiling is a text set analysis to reveal various characteristics of the author by examining the style and content of a text. These features include factors such as age, gender, personality traits and even profession. Gender identification is one of the subfields of author profile creation. Gender identification is very important in the investigation of marketing (advertising), sociological and psychological events, as well as forensic events such as spreading fake news, especially cybercrime. In addition, identifying the gender of the communication partner can help prevent fraud and abuse through social media such as e-mail, blogs, forums. Identifying the gender of short posts for the Turkish language is an area that has not been studied much compared to other languages. In this study, it was attempted to determine gender from Turkish Twitter posts. Twitter posts are widely used for gender identification, although they may include ungrammatical structures, abbreviated words and meaningless sentence structures. The problem is handled as a classification task. In the study, machine learning methods (TF-IDF + SVM), deep learning methods (LSTM, CNN) and pre-trained language models for Turkish (BERT, DistilBert, Electra) were used. As a result of the experiments, Bert model with the word size of 128k provided the highest success (80.1%). This study also features as a detailed study for other text classification tasks.
Goals for Adolescent Participation in Organized Youth Programs: Views From Adolescent-Parent Dyads

This study investigated the goals adolescents and parents have for the adolescent’s participation in an organized youth program. Open-ended interviews were conducted with 52 adolescents from 13 project-based youth programs and one of their caregivers. Adolescents (aged 13–18; 56% female) were ethnically diverse (46% Latinx, 29% European American, 19% African American, and 6% other). Caregivers (M age 43.15 years) were predominantly female (80%) and biological or adoptive parents (94%); about half had been born in the United States. Qualitative and quantitative analyses were conducted to examine goal content and congruence between adolescents and parents. Interview data were inductively coded following a consensus team approach. Thirteen goal categories were identified: nine were described by both adolescents and parents (e.g., skill-building and socialization) and two were unique to adolescents and two to parents. More than half (56%) of adolescent-parent dyads reported at least one matching goal. In general, adolescents tended to emphasize short-term objectives and parents long-term outcomes. Collectively, findings indicate that adolescents and their parents view organized programs as salient contexts to pursue youth’s personal goals. Findings have implications for theory, research, and practice.
Dangerous liaisons? Applying the social harm perspective to the social inequality, housing and health trifecta during the Covid-19 pandemic

Abstract Global rates of excess mortality attributable to the Covid-19 pandemic provide a fresh impetus to make sense of the associations between income inequality, housing inequality and the social gradient in health, suggesting new questions about the ways in which housing and health are treated in the framing and development of public policy. The first half of the paper uses a social harm lens to examine the threefold associations of the social inequality, housing and health trifecta and offers new insights for policy analysis which foregrounds the production, transmission, and experience of various types of harm which occur within the home. The main body of the paper then draws upon the outcomes of an international systematic literature mapping review of 213 Covid-19 research papers to demonstrate three specific harms associated with stay-at-home lockdowns: (i) intimate partner and domestic violence, (ii) poor mental health and (iii) health harming behaviours. The reported findings are interpreted using a social harm perspective and some implications for policy analysis are illustrated. The paper concludes with a reflection on the efficacy of social harm as a lens for policy analysis and suggests directions for further research in housing studies and zemiology.
Preventing Return Fraud in Reverse Logistics - A Case Study of ESPRES Solution by Ethereum

With the rapid development of e-commerce services, online retail has evolved from multi-channel to omni-channel in order to provide customers with more services. However, reverse logistics services (returns and exchanges) have become the target of many fraudulent activities, causing a lot of economic losses for many online retail companies. The current challenge of the traditional countermeasure is it requires a lot of manpower and training resources. In this study, we propose ESPRES, a system that adopts blockchain technology to prevent fraudulent behavior in the process of returns and exchanges with the smart contract and multi-attribute decision-support method to help consumers choose a suitable payment program. A practical implication of this study is that by adopting blockchain technology, a great amount of manpower used on determining whether each return or exchange is fraudulent can be reduced since merchants can check the product ownership. In addition, due to the fact that the footprint of goods cannot be forged, it can also prevent counterfeit or parallel imports of goods.
Dual-Pathway Change Detection Network Based on the Adaptive Fusion Module

In recent years, with the development of high-resolution remote sensing (RS) images and deep learning technology, high-quality source data and state-of-the-art methods have become increasingly available, and great progress has been made in change detection (CD) in RS fields. However, existing methods still suffer from weak network feature representation and poor CD performance. To address these problems, we propose a novel CD network, called dual-pathway CD network (DP-CD-Net), which can help enhance feature representation and achieve a more accurate difference map. The proposed method contains a dual-pathway feature difference network (FDN), an adaptive fusion module (AFM), and an auxiliary supervision strategy. Dual-pathway FDNs can effectively enhance feature representation by supplementing the detailed information from the encoding layers. Then, we use the AFM method to fuse the difference maps. To solve the problem of training difficulty, we use the auxiliary supervision strategy to improve the performance of DP-CD-Net. We conduct extensive experiments to validate the performance of the proposed method on the LEVIR-CD dataset. The results demonstrate that the proposed method performs better than existing methods.
Application of soft computing methods in robotic grasping: A state-of-the-art survey

Robotic grasping has become one of the most important domains of robotics research over the past few decades due to its wide range of applications in industrial automation. The model of grasping objects by robot hand depends on a good number of factors, such as type and size of the object, the morphology of object, type of hand, degree of freedom, etc. Thus, the model sometimes becomes mathematically intractable. With the progress in computational capability, soft computing methods have found a way to address the challenges faced by traditional methods while dealing with the robotic grasping problem. This article aims to summarize the outcome of a systematic study in the field of application of soft computing methods in robotic grasping and manipulation. The key processes of robotic grasping where soft computing methods are applied are identified, and research contributions of all processes are analyzed. This review presents a state-of-the-art survey and attempts to find the research gaps in the area of soft computing applications to address the robotic grasping problem.
Determinants of support for directly-elected mayors in Ireland

ABSTRACT In May 2019, three Irish local authorities ran plebiscites alongside their local elections: Cork City Council, Limerick City and County Council, and Waterford City and County Council. The plebiscites were run to judge support for Government proposals to introduce a reformed, directly-elected mayoral office. The results were, in some ways, the worst possible from a Government perspective: a mix. While voters in Limerick backed the plan by a slight majority, it was marginally rejected in both Cork and Waterford. Faced with disappointing a large group of voters no matter the course of action taken, the Government shelved the plans for Cork and Waterford indefinitely, though the plan for Limerick may proceed. Despite the 2019 rejections, the 2020 UCD Online Election Poll (INES 1) found indications of high levels of support for these reforms: four-in-five respondents agreed that mayors should be directly elected, which is a significantly higher proportion than the Yes vote in any of the three plebiscite areas. This research uses further data from the online poll to establish correlates of support for these reforms, and tentatively suggests that partisan dynamics in turnout are why this support wasn’t reflected in the plebiscite results.
Impact of different activities on learning the subjects in the course ‘Introduction to Education’

This study aims to determine how the activities applied within the course ‘Introduction to Education’ affect learning the subjects about education. The research had the one-group post-test-only design, a type of quasi-experiment design. The study group of the research consisted of 97 prospective teachers. ‘Introduction to Education’ covered the discussion of 11 fundamental subjects, as well as different activities conducted in regard to each topic. Based on the results of the research, it was concluded that the activities used in the courses ensured effective learning, were appreciated by the prospective teachers and increased participation. The factors that decreased the effects of the activities, however, were found to have been mostly student-originated. Finally, it was recommended that instructors use effective activities that would increase the participation of students during the classes. Keywords: Activities, introduction to education, teacher education.
On the Beta Topp-Leone Exponential Distribution

In this work, a new generalized of the exponential distribution, called the beta Topp-Leone exponential distribution, is introduced. Mathematical properties of the proposed distribution are also provided, such as, some expansions of the probability density function and the cumulative distribution function, transformation, quantile function, ordinary moments, and moment generating function. The method of maximum likelihood estimation is used to estimate the unknown parameters of the proposed distribution. Also, the performance of maximum likelihood estimators is investigated through Monte Carlo simulation study. The applicability of a new distribution is illustrated by the real data set. TLE
Designing a Real-time Swept Spectrum Analyser with USRP B210

Cognitive radio has received considerable amount of attention as a promising technique to provide dynamic spectrum allocation. Spectrum sensing is one of the basic functions in the cognitive radio and is crucial to all other functions. Software- defined radios (SDRs) are considered due to its very high flexibility and have become a common platform for CR implementation replacing expensive spectrum analysers. The most popular among various SDR platforms is the universal software-defined radio peripheral (USRP). This paper presents a real-time swept spectrum sensing solution based on USRP B210. It also presents a detailed explanation of the concept of energy detection and the methodology for wide-band sensing. Finally, the performance of the proposed sensing solution is analysed through FFT graphs and spectrogram plot taken for 8 hours. The results showed that the proposed sensing solution was capable of achieving high resolution in the frequency domain of the wide band measured which implies that wide bands with heterogenous signals like the ISM band can be accurately resolved and analysed.
Political business cycle and bank liquidity creation in Ghana: the role of financial sector transparency

ABSTRACT This study examines how financial sector transparency (FST) administered through credit information sharing helps reduce the BLC growth induced by PBC in an emerging economy in Africa. The study employs twenty-seven 27 banks in Ghana over three (3) different political election cycles between 2006 and 2016. The results are estimated using robust random effect panel models with technological and year effect controls. The results shows that (i) PBC increases liquidity creation by banks, (ii) FST administered through credit information sharing encourages BLC, (iii) the joint term of PBC and FST yields a negative synergetic effect on BLC and (iv) promoting FST dampens the growth in liquidity creation induced by PBC in Ghana. These results imply that bank managers, regulators and policymakers must be mindful of liquidity creation especially during election periods since it can lead to soaring credit defaults and losses. Also, FST can be used as tool for suppressing growth in liquidity creation induced through PBC by help banks screen out bad political dealings and politicians.
Genome-Wide Association Study (GWAS) for Bunch Components of The Interspecific Population of Elaeis oleifera and Elaeis guineensis

The oil palm breeding program for the species Elaeis guineensis and the backcross Elaeis oleifera is running slowly because oil palm is an annual plant. Therefore, it is necessary to have an alternative approach that can accelerate the oil palm breeding program. The SNP (single nucleotide polymorphism) genome-wide approach was then used to study the association between 18 phenotypes of bunch component in oil palm germplasm of E. oleifera from Suriname and Brazil Coari, some interspecific hybrids and some elite progeny of E. guineensis. The genotyping by sequencing (GBS) analysis produced a total of 459 million or approximately 798 thousand reads per sample and 3,252 SNPs were eligible for 456 genotypes. Using various association models, eleven normalized phenotypic data showed significant associations with 29 SNPs. Based on the annotations, 17 SNPs were related to genes wtih certain biological functions. Three SNPs were found to be at the exon of a gene, namely SNP4416, SNP349 and SNP3865, while the other 15 SNPs were at the intragenic to a gene. Four SNPs are common SNPs in phenotypes C16:0 and C18:1 as weel as in C20 0 and C20:1. This research shows the potential of SNPs that can be used as an alternative approach to E. oleifera backcross breeding, although further research is needed for validation purposes.
The Importance of In Situ Characterisation for the Mitigation of Poor Indoor Environmental Conditions in Social Housing

The energy efficiency improvements in existing buildings have become priority concerns of the European Union to encourage energy efficiency amongst residents and buildings as well as facility managers. The characterisation of the building stock plays an important role in the definition of energy renovation strategies. In Portugal, there are over 120,000 social housing flats. This paper focused on the holistic characterisation of a social housing neighbourhood concerning the “in situ” assessment of the indoor environmental conditions and thermal comfort over one year as well as air permeability tests of the flats and evaluation of the energy consumption. The hygrothermal monitoring campaign was carried out using thermo-hygrometer sensors to record the indoor air temperature and relative humidity of a large number of flats over a 12-month period. The airtightness of these flats was determined resourcing fan pressurisation test (blower door test). A relationship between the users’ modifications in the flats and their consequence over the air permeability was pursued and the importance of balconies and exhaust fans for the flats’ air permeability was discussed. The hygrothermal monitoring campaign of the case study was carried out, in order to assess the indoor thermal comfort according the ASHRAE 55 standard. The results show a significant discomfort rate, suggesting that the users are living in unhealthy environmental conditions and the issues that most contribute to the poor indoor environmental conditions that characterise this building stock. In addition, the energy, gas, and water consumption of the flats were collected, and a statistical analysis was performed. Correlations between the variables were observed and two clusters were identified. Cluster 1 includes the lower energy consumption flats, but no real impact on the thermal comfort was found as the entire dataset presented low indoor air temperatures.
Effects of Affect: How Mood and Arousal Influence Consumer Evaluation of Search Engine Result Page (SERP) Ad Snippets

Abstract An experiment was conducted with the goal of determining how mood and arousal influence the way consumers process ad information in a search engine result page (SERP) environment. By focusing on the relationships among mood, arousal, and search ad snippet length, the study shows that mood and arousal states influence information processing (heuristic vs. systematic) on search pages both independently and jointly. Using the heuristic-systematic model, the present research explains how information processing modes triggered by mood and amplified by arousal shape the processing and evaluations of search ads with different snippet lengths. Both theoretical and practical implications are discussed.
Invention Education as a Context for Children’s Identity Exploration

Generating solutions for society’s complex problems will require the development of a diverse workforce that is committed to technological and social innovation. In the United States, this need is being addressed by the invention education movement, a goal of which is to promote the adoption of an inventive mindset among K-12 students through outreach and out-of-school time programming that promotes habitual problem finding, creative problem solving, collaboration, and persistence (Lemelson Foundation, 2020). In this study we examined a STEM-based invention education program, Camp InventionⓇ, for its potential as a context for inventive mindset development. Our analysis of pre- and post-camp questionnaire responses from 108 upper elementary and middle school-aged children generated a measure of inventive mindset which was stable over time but largely independent of children’s identification with three STEM subjects. In alignment with prior studies examining features of educational contexts that support identity development (Kaplan, Sinai & Flum, 2014), we found that children’s most preferred activities supported perceived confidence, task novelty, and task utility, and least preferred activities received lower ratings on perceived autonomy and psychological safety. We consider theoretical and practical implications for the design and evaluation of STEM-based invention education programs.
Elucidating the binding efficacy of β-galactosidase on polyaniline-chitosan nanocomposite and polyaniline-chitosan-silver nanocomposite: activity and molecular docking insights

BACKGROUND: Aspergillus oryzae β‐galactosidase (β‐gal; EC 3.2.1.23) was physically adsorbed on polyaniline–chitosan nanocomposite (PANI‐CS‐NC) and polyaniline–chitosan–silver nanocomposite (PANI‐CS‐Ag‐NC). Stability and kinetic studies were assessed, along with reusability and molecular docking interactions. RESULTS: According to transmission electron microscopy images, the sizes of the respective NCs were found to be in the range of 23–39 and 6–18 nm. The η (effectiveness factor) values for PANI‐CS‐NC‐ and PANI‐CS‐Ag‐NC‐bound β‐gal were calculated to be 0.89 and 1.23, respectively, suggesting an enhancement in the activity of the enzyme in the presence of silver ions. Significant broadening was observed in pH and temperature profiles. Kinetic properties of PANI‐CS‐NC‐ and PANI‐CS‐Ag‐NC‐bound β‐gal showed lower Kₘ, and two‐ and fourfold higher Vₘₐₓ, respectively, compared to free enzyme. PANI‐CS‐Ag‐NC‐bound β‐gal was able to retain 94% of its initial activity after 10 repeated uses. Circular dichroism analysis revealed conformational changes in the secondary structure of protein upon immobilization. The genotoxic assessment revealed non‐toxic behaviour of both free and enzyme‐bound NC. The rate of lactose hydrolysis at 50 °C exhibited by PANI‐CS‐‐Ag‐NC bound β‐gal was 7% higher than that for the native enzyme. In‐silico analysis showed efficient binding of β‐gal on PANI‐CS‐ NCs due to interaction with residues that were exclusive of the active site of the enzyme. CONCLUSION: PANI‐CS‐Ag‐NC‐bound β‐gal preparation proved to be a robust nano‐biocatalyst due to remarkable enhancement in catalytic activity along with excellent stability and reusability characteristics, which could be further utilized for efficient construction of nano‐biosensors for producing lactose‐free dairy products to feed lactose‐intolerant patients. © 2018 Society of Chemical Industry
The Elastic Buckling Coefficient of a Rectangular Longitudinally Profiled (LP) Steel Plate with All Edges Simply‐supported

The longitudinally profiled (LP) steel plate is a steel plate that having a special longitudinal shape which is continuously changed in the rolling direction by a special rolling process. It has many advantages, such as reducing the weight of structure, decreasing the number of the weld seem and improving seismic performance, which has widely application in ships, bridges and other areas. It will have broad application in the field of bridges construction in China. However, the local stability of the LP plate is less investigated in recently years. In this paper, the energy method was used to study about elastic buckling coefficient of a rectangular LP steel plate with all edges simply supported. Based on the Galerkin and Rayleigh‐Ritz method (GRM), the elastic buckling coefficient was obtained by transforming into a method that to solve the eigenvalues of the feature matrix. the result was verified by FEA method. And the curves of the elastic buckling coefficient with the relevant parameters such as aspect ratio and thickness change rate will be giving.