Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Work, Economy and Organizations
Title: Analyzing Computer Programming Job Trend Using Web Data Mining
Abstract: Today’s rapid changing and competitive environment requires educators to stay abreast of the job market in order to prepare their students for the jobs being demanded. This is more relevant about Information Technology (IT) jobs than others. However, to stay abreast of the market job demands require retrieving, sifting and analyzing large volume of data in order to understand the trends of the job market. Traditional methods of data collection and analysis are not sufficient for this kind of analysis due to the large volume of job data that is generated through the web and elsewhere. Luckily, the field of data mining has emerged to collect and sift through such large data volumes. However, even with data mining, appropriate data collection techniques and analysis need to be followed in order to correctly understand the trend. This paper illustrates our experience with employing mining techniques to understand the trend in IT Technology jobs. Data was collect using data mining techniques over a number of years from an online job agency. The data was then analyzed to reach a conclusion about the trends in the job market. Our experience in this regard along with literature review of the relevant topics is illustrated in this paper.
Extracted statement — method: data mining
Research field: Work, Economy and Organizations
Title: Mining for Computing Jobs
Abstract: A Web content mining approach identified 20 job categories and the associated skills needs prevalent in the computing professions. Using a Web content data mining application, we extracted almost a quarter million unique IT job descriptions from various job search engines and distilled each to its required skill sets. We statistically examined these, revealing 20 clusters of similar skill sets that map to specific job definitions. The results allow software engineering professionals to tune their skills portfolio to match those in demand from real computing jobs across the US to attain more lucrative salaries and more mobility in a chaotic environment.
Extracted statement — method: data mining
Research field: Work, Economy and Organizations
Title: Challenge: Processing web texts for classifying job offers
Abstract: Today the Web represents a rich source of labour market data for both public and private operators, as a growing number of job offers are advertised through Web portals and services. In this paper we apply and compare several techniques, namely explicit-rules, machine learning, and LDA-based algorithms to classify a real dataset of Web job offers collected from 12 heterogeneous sources against a standard classification system of occupations.
Extracted statement — method: LDA-based algorithms
Research field: Work, Economy and Organizations
Title: Challenge: Processing web texts for classifying job offers
Abstract: Today the Web represents a rich source of labour market data for both public and private operators, as a growing number of job offers are advertised through Web portals and services. In this paper we apply and compare several techniques, namely explicit-rules, machine learning, and LDA-based algorithms to classify a real dataset of Web job offers collected from 12 heterogeneous sources against a standard classification system of occupations.
Extracted statement — method: machine learning
Research field: Work, Economy and Organizations
Title: An Open and Data-driven Taxonomy of Skills Extracted from Online Job Adverts
Abstract: In this work we offer an open and data-driven skills taxonomy, which is independent of ESCO and O*NET, two popular available taxonomies that are expert-derived. Since the taxonomy is created in an algorithmic way without expert elicitation, it can be quickly updated to reflect changes in labour demand and provide timely insights to support labour market decision-making. Our proposed taxonomy also captures links between skills, aggregated job titles, and the salaries mentioned in the millions of UK job adverts used in this analysis. To generate the taxonomy, we employ machine learning methods, such as word embeddings, network community detection algorithms and consensus clustering. We model skills as a graph with individual skills as vertices and their co-occurrences in job adverts as edges. The strength of the relationships between the skills is measured using both the frequency of actual co-occurrences of skills in the same advert as well as their shared context, based on a trained word embeddings model. Once skills are represented as a network, we hierarchically group them into clusters. To ensure the stability of the resulting clusters, we introduce bootstrapping and consensus clustering stages into the methodology. While we share initial results and describe the skill clusters, the main purpose of this paper is to outline the methodology for building the taxonomy.
Extracted statement — method: machine learning methods
Research field: Work, Economy and Organizations
Title: You will be…: a study of job advertisements to determine employers' requirements for LIS professionals in the UK in 2007
Abstract: Purpose – The purpose of this paper is to investigate what employers seek when recruiting library and information professionals in the UK and whether professional skills, generic skills or personal qualities are most in demand.Design/methodology/approach – A content analysis of a sample of 180 advertisements requiring a professional library or information qualification from Chartered Institute of Library and Information Professional's Library + Information Gazette over the period May 2006‐2007.Findings – The findings reveal that a multitude of skills and qualities are required in the profession. When the results were compared with Information National Training Organisation and Library and Information Management Employability Skills research, customer service, interpersonal and communication skills, and general computing skills emerged as the requirements most frequently sought by employers. Overall, requirements from the generic skills area were most important to employers, but the research also demonstra...
Extracted statement — Process: recruiting library and information professionals
Research field: Work, Economy and Organizations
Title: An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements
Abstract: Abstract Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain.
Extracted statement — Data: sample of online job postings
Research field: Work, Economy and Organizations
Title: An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements
Abstract: Abstract Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain.
Extracted statement — Material: sample of online job postings
Research field: Work, Economy and Organizations
Title: An Open and Data-driven Taxonomy of Skills Extracted from Online Job Adverts
Abstract: In this work we offer an open and data-driven skills taxonomy, which is independent of ESCO and O*NET, two popular available taxonomies that are expert-derived. Since the taxonomy is created in an algorithmic way without expert elicitation, it can be quickly updated to reflect changes in labour demand and provide timely insights to support labour market decision-making. Our proposed taxonomy also captures links between skills, aggregated job titles, and the salaries mentioned in the millions of UK job adverts used in this analysis. To generate the taxonomy, we employ machine learning methods, such as word embeddings, network community detection algorithms and consensus clustering. We model skills as a graph with individual skills as vertices and their co-occurrences in job adverts as edges. The strength of the relationships between the skills is measured using both the frequency of actual co-occurrences of skills in the same advert as well as their shared context, based on a trained word embeddings model. Once skills are represented as a network, we hierarchically group them into clusters. To ensure the stability of the resulting clusters, we introduce bootstrapping and consensus clustering stages into the methodology. While we share initial results and describe the skill clusters, the main purpose of this paper is to outline the methodology for building the taxonomy.
Extracted statement — Has result: skills taxonomy
Research field: Occupational psychology
Title: Acceptance of Workplace Bullying Behaviors and Job Satisfaction: Moderated Mediation Analysis With Coping Self-Efficacy and Exposure to Bullying
Abstract: Previous research explored workplace climate as a factor of workplace bullying and coping with workplace bullying, but these concepts were not closely related to workplace bullying behaviors (WBBs). To examine whether the perceived exposure to bullying mediates the relationship between the climate of accepting WBBs and job satisfaction under the condition of different levels of WBBs coping self-efficacy beliefs, we performed moderated mediation analysis. The Negative Acts Questionnaire – Revised was given to 329 employees from Serbia for assessing perceived exposure to bullying. Leaving the original scale items, the instruction of the original Negative Acts Questionnaire – Revised was modified for assessing (1) the climate of accepting WBBs and (2) WBBs coping self-efficacy beliefs. There was a significant negative relationship between exposure to bullying and job satisfaction. WBB acceptance climate was positively related to exposure to workplace bullying and negatively related to job satisfaction. WBB acceptance climate had an indirect relationship with job satisfaction through bullying exposure, and the relationship between WBB acceptance and exposure to bullying was weaker among those who believed that they were more efficient in coping with workplace bullying. Workplace bullying could be sustained by WBB acceptance climate which threatens the job-related outcomes. WBBs coping self-efficacy beliefs have some buffering effects.
Extracted statement — Variables: Coping self-efficacy beliefs
Research field: Occupational psychology
Title: Acceptance of Workplace Bullying Behaviors and Job Satisfaction: Moderated Mediation Analysis With Coping Self-Efficacy and Exposure to Bullying
Abstract: Previous research explored workplace climate as a factor of workplace bullying and coping with workplace bullying, but these concepts were not closely related to workplace bullying behaviors (WBBs). To examine whether the perceived exposure to bullying mediates the relationship between the climate of accepting WBBs and job satisfaction under the condition of different levels of WBBs coping self-efficacy beliefs, we performed moderated mediation analysis. The Negative Acts Questionnaire – Revised was given to 329 employees from Serbia for assessing perceived exposure to bullying. Leaving the original scale items, the instruction of the original Negative Acts Questionnaire – Revised was modified for assessing (1) the climate of accepting WBBs and (2) WBBs coping self-efficacy beliefs. There was a significant negative relationship between exposure to bullying and job satisfaction. WBB acceptance climate was positively related to exposure to workplace bullying and negatively related to job satisfaction. WBB acceptance climate had an indirect relationship with job satisfaction through bullying exposure, and the relationship between WBB acceptance and exposure to bullying was weaker among those who believed that they were more efficient in coping with workplace bullying. Workplace bullying could be sustained by WBB acceptance climate which threatens the job-related outcomes. WBBs coping self-efficacy beliefs have some buffering effects.
Extracted statement — Variables: Job satisfaction
Research field: electrical engineering
Title: Remarkable Improvement in Foldability of Poly‐Si Thin‐Film Transistor on Polyimide Substrate Using Blue Laser Crystallization of Amorphous Si and Comparison with Conventional Poly‐Si Thin‐Film Transistor Used for Foldable Displays
Abstract: Highly robust poly‐Si thin‐film transistor (TFT) on polyimide (PI) substrate using blue laser annealing (BLA) of amorphous silicon (a‐Si) for lateral crystallization is demonstrated. Its foldability is compared with the conventional excimer laser annealing (ELA) poly‐Si TFT on PI used for foldable displays exhibiting field‐effect mobility of 85 cm2 (V s)−1. The BLA poly‐Si TFT on PI exhibits the field‐effect mobility, threshold voltage (VTH), and subthreshold swing of 153 cm2 (V s)−1, −2.7 V, and 0.2 V dec−1, respectively. Most important finding is the excellent foldability of BLA TFT compared with the ELA poly‐Si TFTs on PI substrates. The VTH shift of BLA poly‐Si TFT is ≈0.1 V, which is much smaller than that (≈2 V) of ELA TFT on PI upon 30 000 cycle folding. The defects are generated at the grain boundary region of ELA poly‐Si during folding. However, BLA poly‐Si has no protrusion in the poly‐Si channel and thus no defect generation during folding. This leads to excellent foldability of BLA poly‐Si on PI substrate.
Extracted statement — substrate: Polyimide (PI)
Research field: chemical engineering
Title: Disorder–Order Transition—Improving the Moisture Sensitivity of Waterborne Nanocomposite Barriers
Abstract: Systematic studies on the influence of crystalline vs disordered nanocomposite structures on barrier properties and water vapor sensitivity are scarce as it is difficult to switch between the two morphologies without changing other critical parameters. By combining water-soluble poly(vinyl alcohol) (PVOH) and ultrahigh aspect ratio synthetic sodium fluorohectorite (Hec) as filler, we were able to fabricate nanocomposites from a single nematic aqueous suspension by slot die coating that, depending on the drying temperature, forms different desired morphologies. Increasing the drying temperature from 20 to 50 °C for the same formulation triggers phase segregation and disordered nanocomposites are obtained, while at room temperature, one-dimensional (1D) crystalline, intercalated hybrid Bragg Stacks form. The onset of swelling of the crystalline morphology is pushed to significantly higher relative humidity (RH). This disorder-order transition renders PVOH/Hec a promising barrier material at RH of up to 65%, which is relevant for food packaging. The oxygen permeability (OP) of the 1D crystalline PVOH/Hec is an order of magnitude lower compared to the OP of the disordered nanocomposite at this elevated RH (OP = 0.007 cm3 μm m-2 day-1 bar-1 cf. OP = 0.047 cm3 μm m-2 day-1 bar-1 at 23 °C and 65% RH).
Extracted statement — Fabrication method: Slot die
Research field: electrical engineering
Title: Extremely Stable, High Performance Gd and Li Alloyed ZnO Thin Film Transistor by Spray Pyrolysis
Abstract: The simultaneous doping effect of Gadolinium (Gd) and Lithium (Li) on zinc oxide (ZnO) thin‐film transistor (TFT) by spray pyrolysis using a ZrOx gate insulator is reported. Li doping in ZnO increases mobility significantly, whereas the presence of Gd improves the stability of the device. The Gd ratio in ZnO is varied from 0% to 20% and the Li ratio from 0% to 10%. The optimized ZnO TFT with codoping of 5% Li and 10% Gd exhibits the linear mobility of 25.87 cm2 V−1 s−1, the subthreshold swing of 204 mV dec−1, on/off current ratio of ≈108, and zero hysteresis voltage. The enhancement of both mobility and stability is due to an increase in grain size by Li incorporation and decrease of defect states by Gd doping. The negligible threshold voltage shift (∆VTH) under gate bias and zero hysteresis are due to the reduced defects in an oxide semiconductor and decreased traps at the LiGdZnO/ZrOx interface. Li doping can balance the reduction of the carrier concentration by Gd doping, which improves the mobility and stability of the ZnO TFT. Therefore, LiGdZnO TFT shows excellent electrical performance with high stability.
Extracted statement — keywords: Spray Pyrolysis
Research field: Occupational psychology
Title: Acceptance of Workplace Bullying Behaviors and Job Satisfaction: Moderated Mediation Analysis With Coping Self-Efficacy and Exposure to Bullying
Abstract: Previous research explored workplace climate as a factor of workplace bullying and coping with workplace bullying, but these concepts were not closely related to workplace bullying behaviors (WBBs). To examine whether the perceived exposure to bullying mediates the relationship between the climate of accepting WBBs and job satisfaction under the condition of different levels of WBBs coping self-efficacy beliefs, we performed moderated mediation analysis. The Negative Acts Questionnaire – Revised was given to 329 employees from Serbia for assessing perceived exposure to bullying. Leaving the original scale items, the instruction of the original Negative Acts Questionnaire – Revised was modified for assessing (1) the climate of accepting WBBs and (2) WBBs coping self-efficacy beliefs. There was a significant negative relationship between exposure to bullying and job satisfaction. WBB acceptance climate was positively related to exposure to workplace bullying and negatively related to job satisfaction. WBB acceptance climate had an indirect relationship with job satisfaction through bullying exposure, and the relationship between WBB acceptance and exposure to bullying was weaker among those who believed that they were more efficient in coping with workplace bullying. Workplace bullying could be sustained by WBB acceptance climate which threatens the job-related outcomes. WBBs coping self-efficacy beliefs have some buffering effects.
Extracted statement — Variables: Workplace bullying
Research field: electrical engineering
Title: Extremely Stable, High Performance Gd and Li Alloyed ZnO Thin Film Transistor by Spray Pyrolysis
Abstract: The simultaneous doping effect of Gadolinium (Gd) and Lithium (Li) on zinc oxide (ZnO) thin‐film transistor (TFT) by spray pyrolysis using a ZrOx gate insulator is reported. Li doping in ZnO increases mobility significantly, whereas the presence of Gd improves the stability of the device. The Gd ratio in ZnO is varied from 0% to 20% and the Li ratio from 0% to 10%. The optimized ZnO TFT with codoping of 5% Li and 10% Gd exhibits the linear mobility of 25.87 cm2 V−1 s−1, the subthreshold swing of 204 mV dec−1, on/off current ratio of ≈108, and zero hysteresis voltage. The enhancement of both mobility and stability is due to an increase in grain size by Li incorporation and decrease of defect states by Gd doping. The negligible threshold voltage shift (∆VTH) under gate bias and zero hysteresis are due to the reduced defects in an oxide semiconductor and decreased traps at the LiGdZnO/ZrOx interface. Li doping can balance the reduction of the carrier concentration by Gd doping, which improves the mobility and stability of the ZnO TFT. Therefore, LiGdZnO TFT shows excellent electrical performance with high stability.
Extracted statement — keywords: Zinc Oxide
Research field: Analytical Chemistry
Title: Flower-like Palladium Nanoclusters Decorated Graphene Electrodes for Ultrasensitive and Flexible Hydrogen Gas Sensing
Abstract: Abstract Flower-like palladium nanoclusters (FPNCs) are electrodeposited onto graphene electrode that are prepared by chemical vapor deposition (CVD). The CVD graphene layer is transferred onto a poly(ethylene naphthalate) (PEN) film to provide a mechanical stability and flexibility. The surface of the CVD graphene is functionalized with diaminonaphthalene (DAN) to form flower shapes. Palladium nanoparticles act as templates to mediate the formation of FPNCs, which increase in size with reaction time. The population of FPNCs can be controlled by adjusting the DAN concentration as functionalization solution. These FPNCs_CG electrodes are sensitive to hydrogen gas at room temperature. The sensitivity and response time as a function of the FPNCs population are investigated, resulted in improved performance with increasing population. Furthermore, the minimum detectable level (MDL) of hydrogen is 0.1 ppm, which is at least 2 orders of magnitude lower than that of chemical sensors based on other Pd-based hybrid materials.
Extracted statement — Limit of detection (ppm): 0.1
Research field: Analytical Chemistry
Title: Flower-like Palladium Nanoclusters Decorated Graphene Electrodes for Ultrasensitive and Flexible Hydrogen Gas Sensing
Abstract: Abstract Flower-like palladium nanoclusters (FPNCs) are electrodeposited onto graphene electrode that are prepared by chemical vapor deposition (CVD). The CVD graphene layer is transferred onto a poly(ethylene naphthalate) (PEN) film to provide a mechanical stability and flexibility. The surface of the CVD graphene is functionalized with diaminonaphthalene (DAN) to form flower shapes. Palladium nanoparticles act as templates to mediate the formation of FPNCs, which increase in size with reaction time. The population of FPNCs can be controlled by adjusting the DAN concentration as functionalization solution. These FPNCs_CG electrodes are sensitive to hydrogen gas at room temperature. The sensitivity and response time as a function of the FPNCs population are investigated, resulted in improved performance with increasing population. Furthermore, the minimum detectable level (MDL) of hydrogen is 0.1 ppm, which is at least 2 orders of magnitude lower than that of chemical sensors based on other Pd-based hybrid materials.
Extracted statement — Minimum experimental range (ppm): 0.1