bluuebunny/crossref_metadata_2025 huggingface dataset:
FORMULASI PEMBELAJARAN MATEMATIKA BAGI ANAK TUNAGRAHITA
Authors: Meidawati Natasya D.P, Erika Marsi,
Published: September 2020

This study aims to determine the learning formulation that is suitable for students with mental disabilities. This type of research is qualitative research. Data analysis uses the process of data reduction, data presentation, and conclusion drawing. Planning mathematics learning for mentally disabled children at BC SLB Hamong Putro uses the 2013 curriculum implementation plan (RPP). The learning process of mathematics for mentally disabled children contains several aspects, namely the material taught is material learning that is concrete to material that is abstract, then positive giving reinforcement so that students are enthusiastic in learning, besides learning programs that are given to students individually, after that the learning evaluation process is carried out to find out the ability of students, then the material conveyed must be material that supports the achievement of set goals, and the material conveyed must be material that is useful for everyday life. The evaluation and follow-up steps that must be done are the preparation of an Individual Learning Program (PPI) and follow-up activities after conducting an evaluation in the form of special guidance carried out by teachers for mentally disabled students.
PENGARUH KETERPUTUSAN POLA ASUH ORANGTUA TERHADAP PENDIDIKAN ANAK
Authors: M. Mujabun Aufia Aisa,
Published: September 2020

Intellectual development in the life of a teenager must be balanced with good values, morals and morals. Children who do not have a harmonious relationship with their parents in childhood are unlikely to be able to develop super egos that are strong enough, so they can be people who often violate social norms. Independence and moral maturity always put forward in every behavior in every life. The ability that exists in a child's life makes them able to have good morals and attitudes in the future. A person's basic personality is formed in childhood. The processes of development that occur in a child coupled with what is experienced and accepted during the time of his children gradually enable him to grow and develop into an adult human. It is hoped that parents can get to know the growth and development of their sons and daughters as early as possible to find the possibility of abnormalities or deviations in development. The existence of cooperation and a joint approach by experts from various sciences and activities will greatly help the development of children. And the most important point is the parents who are most responsible in developing the overall existence of children, including here physical and psychological needs, so that children can grow and develop towards a harmonious and mature personality.
PENGEMBANGAN METODE DIORAMA KISAH BERBANTUAN DIMENSI ATRIBUT DENGAN PENDEKATAN EBP (EXPLORATION, BRAINSTORMING, PERFORMANCE) DALAM PEMBELAJARAN PKN
Authors: Agustin Septiana
Published: September 2020

The Story Diorama is one of lesson method. It consist of many stories or events that memorized by students. Attribute Dimension is a set of equipment used by students in practicing lessons using the Story Diorama method. This study aims to measure the effectiveness of the diorama method with the help of attribute dimensions developed using the EBP (Exploration, Brainstorming, Performance) approach. The research method used in this study is qualitative descriptive. Data collected from observations, pre-tests, and post-tests. The results is the form of a Story Diorama method assisted by Attribute Dimensions developed with the EBP approach. The EBP approach syntax based on the results of the Scientific Approach analysis in 2013 Curriculum and 21st Century Learning Skills. The application of learning using the Diorama of Story method assisted by Attribute Dimensions proved effective and useful for students' knowledge and experience. Because, the essence of effective learning for students is to experience it for real.
HYPNOPARENTING; SEBUAH METODE MENJINAKKAN ALLIGATOR’S BRAINS PADA ANAK USIA DINI
Authors: Ulfa Risa Alfiyah
Published: September 2020

every child must bring up the alligator's brain as a form of impinging psychological discomfort. Alligator's brain is a negative action taken by a child. The child's attitude is a reflection of what is done by the people closest to him, including the family which is the smallest community in children's education. Families play an important role in the realization of children who have good characteristics. Children who make negative actions are most likely because the closest environment is doing negative things, and vice versa. It takes a method that is able to minimize and even eliminate alligator's brain that is often raised by children when their psychological condition is uncomfortable. Hypnoparenting is a method that is able to tame alligator's brain. Hypnoparenting is an attempt by parents to bring children to the subconscious with the aim of influencing the child's mindset with which children can do good or bad. Hypnoparenting brings children from beta brain waves through alpha to tetha. When it reaches the wave of tetha, the child is able to accept positive suggestions from parents as an effort to tame the alligator's brain in children. Hypnoparenting provides maximum results if done continuously every day.
Using Fuzzy Logic to Evaluate and Compare State Financial Condition during and after the Great Recession of 2008: Fuzzy Rule-Based Systems
Authors: Shi Yu
Published: September 2020

This paper incorporates ten measures consisting of four financial condition dimensions in cash, budget, long-run, and service-level solvencies into the application of an evaluation approach-a Fuzzy Rule Based System (FRBS)-to the evaluation of U.S. state governments’ overall financial condition during and after the Great Recession of 2008. It introduces a methodology for combining the disparate measures of the system into an overall evaluation of financial condition for state governments. We identify that ten states are in good financial condition, while the majority are in a financial condition that falls somewhere between fair and poor. The evaluation results indicate that some states can do at least a fair job in financial performance; however, there is substantial room for improvement in future financial performance.
Shocking Performance: The Effects of Anticipated and Unanticipated Shocks on Organizational Performance
Authors: Hawes Daniel P. , Testa Joshua R.
Published: September 2020

Public organizations operate as open-systems. As such, exogenous perturbations in the environment can affect organizational performance. Often, management buffers these shocks to maintain performance through both managerial strategies and organizational structures. To this extent, the literature commonly assumes shocks in the environment are largely unanticipated, resulting in management responding to a precipitation of negative effects to the organization's internal operations and processes. We argue exogenous perturbations can take on two different forms: anticipated and unanticipated shocks. Based on the level of managerial anticipation, we argue public managers will adopt strategies that resemble those of disaster preparedness as opposed to managers focused on the recovery-oriented aspects of management. We test this argument by empirically examining the effects of an anticipated and unanticipated shock on the performance of Texas public school districts.
Are We Free to Break the Laws of Providence?
Authors: Pearce Kenneth L.
Published: September 2020

Can I be free to perform an action if God has decided to ensure that I do not choose that action? I show that Molinists and simple foreknowledge theorists are committed to answering in the affirmative. This is problematic for their status as theological incompatibilists. I suggest that strategies for preserving their theological incompatibilism in light of this result should be based on sourcehood. However, the path is not easy here either, since Leibniz has shown how theological determinists can offer an extremely robust form of sourcehood. Proponents of these views must identify a valuable form of sourcehood their theories allow that Leibniz’s theory doesn’t.
Magical Thinking
Authors: Bailey Andrew M.
Published: September 2020

According to theists, God is an immaterial thinking being. The main question of this article is whether theism supports the view that we too are immaterial thinking beings. I shall argue in the negative. Along the way, I will also explore some implications in the philosophy of mind following from the observation that, on theism, God’s mentality is in a certain respect magical.
A STUDY OF HIGH LIFT AERODYNAMIC DEVICES ON COMMERCIAL AIRCRAFTS
Authors: Neigapula Swamy Naidu Venkata , Maddula Satya Prasad , Nukala Vasishta Bhargava
Published: September 2020

Aerodynamic performance of aircraft wings vary with flight path conditions and depend on efficiency of high lift systems.
In this work, a study on high lift devices and mechanisms that aim to increase maximum lift coefficient and reduce drag on commercial aircraft
wings is discussed. Typically, such extensions are provided to main airfoil along span wise direction of wing and can increase lift coefficient
by more than 100% during operation. Increasing the no of trailing edge flaps in chord wise direction could result in 100% increment in lift
coefficient at a given angle of attack but leading edge slats improve lift by delaying the flow separation near stall angle of attack. Different
combinations of trailing edge flaps used by Airbus, Boeing and McDonnel Douglas manufacturers are explained along with kinematic mechanisms
to deploy them. The surface pressure distribution for 30P30N airfoil is evaluated using 2D vortex panel method and effects of chord wise boundary
layer flow transitions on aerodynamic lift generation is discussed. The results showed better agreements with experiment data for high Reynolds
number (9 million) flow conditions near stall angle of attack.
THE INFLUENCE OF UTILITARIAN VALUE, HEDONIC VALUE, SOCIAL VALUE, AND PERCEIVED RISK ON CUSTOMER SATISFACTION: SURVEY OF E-COMMERCE CUSTOMERS IN INDONESIA
Authors: Evelina Tri Yulistyawati , Kusumawati Andriani , Nimran Umar , Sunarti
Published: September 2020

The purpose of this study is to build an understanding of the influence of utilitarian value, hedonic value,
social value, and perceived risk on e-commerce customer satisfaction in Indonesia. Data was collected through an online survey and
analyzed using Structural Equation Modeling (SEM) with the WarpPLS tool version 6.0 which was then analyzed through Inferential
Statistics analysis. The results of the study showed that utilitarian value significantly influences customer satisfaction.
Hedonic value significantly influences customer satisfaction. However, the findings showed that social value did not have
a significant effect on customer satisfaction, meaning that the level of the social value of e-commerce customers does not have
a significant impact on the level of customer satisfaction. Finally, the results show, perceived risk significantly influences
customer satisfaction.
EXTRACELLULAR DIFFERENTIAL PROTEOME ANALYSIS OF SUBSTRATES OF DIFFERENT LIGNIN MODEL COMPOUNDS DEGRADED BY ASPERGILLUS FUMIGATUS G-13
Authors: Li Jinda , Du Xia , Feng Qian , Yan Hong
Published: September 2020

Aspergillus fumigatus G-13 has the potential to degrade lignocellulose biomass. The purpose of this work is to analyze
the extracellular soluble secretory protein of lignocellulose degradation by Aspergillus fumigatus G-13. The research used ferulic acid, sinapic
acid and p-coumaric acid as carbon sources. By controlling the culture conditions, adding cellulose co-substrate and auxiliary carbon source,
the enzymatic production law of Aspergillus fumigatus G-13 degradation of three lignin model compounds was investigated. The two groups with
the greatest difference in enzyme activity expression were screened, and high throughput quantitative proteomics analysis using iTRAQ. iTRAQ
analysis showed that a total of 3862 protein spots changed significantly, of which 2103 down-regulated proteins and 1759 up-regulated proteins.
The differential proteins involved in the degradation process of lignin model compounds are concentrated in dioxygenase, oxidoreductase, ferulic
acid esterase B-2, isoamyl alcohol oxidase, bifunctional catalase peroxidase CAT2, cellulase, cytochrome P450 monooxygenase, flavin-binding
monooxygenase, etc. Lignin-related differential abundance proteins were mapped to 128 metabolic pathways. Significantly enriched pathways include
metabolic pathways, glyceride metabolism, oxidative phosphorylation, riboflavin metabolism, peroxisomes, riboflavin metabolism. The information
presented in this paper is helpful to better understand the lignocellulose degradation mechanisms of A. fumigatus G-13.
A New Candidate Luminous Blue Variable
Authors: Figer Donald F. , Najarro Francisco , Messineo Maria , Clark J. Simon , Menten Karl M.
Published: September 2020

We identify IRAS 16115−5044, which was previously classified as a protoplanetary nebula (PPN), as a candidate luminous blue variable (LBV). The star has high luminosity (≳105.75
L
⊙), ensuring supergiant status, has a temperature similar to LBVs, is photometrically and spectroscopically variable, and is surrounded by warm dust. Its near-infrared spectrum shows the presence of several lines of H i, He i, Fe ii, Fe [ii], Mg ii, and Na i with shapes ranging from pure absorption and P Cygni profiles to full emission. These characteristics are often observed together in the relatively rare LBV class of stars, of which only ≈20 are known in the Galaxy. The key to the new classification is the fact that we compute a new distance and extinction that yield a luminosity significantly in excess of those for post-AGB PPNe, for which the initial masses are <8 M
⊙. Assuming single star evolution, we estimate an initial mass of ≈40 M
⊙.
L’urbanisme, affaire de tous ? Euralille au tournant des années 1990, entre critique élitaire et populaire
Authors: Didelon Valéry
Published: September 2020

Si les opérations d’urbanisme ont longtemps été en France l’affaire des politiques et de l’élite professionnelle, à partir du milieu des années 1980 elles se sont peu à peu démocratisées. Cet article examine la manière dont le projet d’Euralille mis en œuvre entre 1988 et 1995 a ainsi fait l’objet d’un vif débat public dans lequel est intervenue une grande diversité de protagonistes. Il montre notamment de quelle façon la critique élitaire a été précédée par une critique populaire qui, d’où qu’elle vienne, a eu pour objectif de peser effectivement sur le cours du projet ; l’une et l’autre ayant par ailleurs contribué in fine à le légitimer.
Le père, le fils, esprits de l’architecture moderne – Le Fonds Puttemans aux Archives et Bibliothèque d’architecture de l’U.L.B.
Authors: Lund Irene , Collette Sophie
Published: September 2020

Robert Puttemans (1902–1978) et son fils Pierre Puttemans (1933–2013), font partie des principaux architectes belges du xx e  siècle. En 2013 leurs archives ont été données par leur famille à l’Université libre de Bruxelles où elles sont conservées aux Archives et Bibliothèque d’Architecture. Après plusieurs années de classement et d’inventaire en raison de son ampleur ; le fonds est depuis une année accessible à la recherche. Cet article offre un aperçu du contenu du fonds Puttemans. Il établit un parallèle entre les carrières respectives de Robert et de Pierre Puttemans en les confrontant aux quatre thématiques suivantes : sphère privée, formation, pratiques d’architectes et engagements. Il jette un nouveau regard sur leurs parcours individuels, ainsi que sur leurs relations et objectifs communs. L’article est illustré avec une sélection de documents inédits à ce jour, d’une part afin de révéler certains aspects moins connus de ces deux personnalités, d’autre part pour donner un aperçu de la diversité et de la richesse du contenu du fonds.
Introducing competition in Italian high-speed rail
Authors: Antoniazzi Federico , Giuricin Andrea , Tosatti Roberto
Published: September 2020

Cet article vise à analyser les effets de la mise en concurrence sur le marché italien de la grande vitesse ferroviaire. Ainsi nous proposons de comparer la situation de ce marché avant et après la libéralisation, en prenant en compte la contribution fondamentale de l’Union européenne sur le plan légal. Pour appuyer notre démonstration, nous proposons des analyses économiques et statistiques qui permettent de quantifier ces changements et tendances estimés sur ce marché. En définitive, nous montrons comment la libéralisation a apporté de nombreux bénéfices, en considérant aussi que l’arrivée d’un nouveau concurrent – Nuovo Trasporto Viaggiatori – a réduit les prix et augmenté la qualité des prestations pour les voyageurs, sans que les revenus de la compagnie concernée ( Trenitalia ) aient diminué pour autant.
Tyrannie de la mobilité infantile
Authors: Fleury Emmanuel
Published: September 2020

La question de la « mobilité » de l’enfant est complexe et l’ambiguïté de ce mot, « mobile », est particulièrement frappante. À la fois mouvement et cause… Concernant le mouvement, nous évoquons l’agitation, l’hyperactivité ou l’excitation de l’enfant. Le symptôme est vite pris dans le discours de la maîtrise, traitement psychotrope à la clef ! Freud critique la question de la décharge de l’énergie. Lacan interroge le mouvement par son absence, l’immobilité, et par son excès. Il souligne la « structure particulière » de certains mouvements. Suivre ces indications nous permet de comprendre comment la pulsion exerce sa tyrannie.
Refus scolaire d’adolescents
Authors: Guiavarc’h Vonnick
Published: September 2020

Un jour, un adolescent déclare qu’il « ne peut plus aller à l’école ». Une autre jeune fille s’enferme dans sa chambre ; bonne élève, au contraire « des décrocheurs », elle exige d’être inscrite à un cours par correspondance, obsédée par sa performance scolaire. Refus ou phobie scolaire, hikikomori au Japon, de nombreux termes désignent ces symptômes. Nous interrogeons ces nouvelles formes d’empêchement à partir du cas clinique d’un adolescent et de la littérature analytique et psychiatrique. Qu’est-ce qui les déclenche ? Est-ce l’interpellation autoritaire par l’institution scolaire, le fait d’être appelé à une place d’élève qui sera jugé, évalué ? Nous nous efforçons de cerner la part du sujet dans son refus.
Le jeune tyran domestique des Mémoires d’outre-tombe
Authors: Guipaud Sibylle
Published: September 2020

La figure du tyran obsède François-René de Chateaubriand. Dans ses Mémoires d’outre-tombe , cette figure s’articule à la mise en scène de son moi pour exprimer un héritage paradoxal de la tyrannie paternelle. Finalement, Chateaubriand serait lui-même un tyran, un vampire poétique.
Les enfants terribles (1929) de Jean Cocteau. Élisabeth, la « vierge de fer »
Authors: Yvan Frédéric
Published: September 2020

Le roman de Jean Cocteau  Les Enfants terribles (1929) est le récit d’enfants seuls : Élisabeth, son frère Paul et leurs amis Gérard et Agathe, laissés à eux-mêmes et désorientés, réduisent le monde à leur chambre close et désordonnée qui opère comme la scène du théâtre de leurs jeux asociaux et du devenir tragique de leur histoire. Élisabeth, dont le surnom « vierge de fer » formule la cruauté, est le personnage central du drame : menteuse et manipulatrice, enfant-tyran, elle règne sur la chambre et ses habitants jusqu’à transformer l’existence de chacun en un véritable enfer. C’est à cette figure littéraire de l’enfant-tyran que nous nous intéresserons en cherchant à en élucider le sens et les enjeux à travers l’analyse de ses actes : insultes, vols, mensonges.
Interview de Dirk Dobke à Hambourg, Dieter Roth Foundation, le 4 mai 2019
Authors: Morel Geneviève
Published: September 2020

Traduction de l’anglais par Mathilde Morel. Dans cette interview menée par la psychanalyste Geneviève Morel, Dirk Dobke, conservateur de la fondation Dieter Roth à Hambourg, se confie sur la vie et l’œuvre de l’artiste suisse d’origine allemande Dieter Roth (1930-1998), dont il fut aussi l’élève. Il aborde l’aspect historique, autobiographique et mélancolique de son œuvre.
Interventions for Family Members After Long-Term Care Placement of a Relative With Dementia: A Systematic Review and Meta-Analysis
Authors: Hui Zhaozhao , Yang Chen , Lee Diana Tze Fan
Published: September 2020

The current systematic review aimed to identify, appraise, and synthesize the available evidence regarding interventions that assisted family members of long-term care facility residents with dementia to cope with stressful situations. A search of published articles in eight databases was performed. In total, 1,293 records were identified, with six studies included in this systematic review. Interventions were categorized as education/skill training, psychoeducation, and psychosocial support. The risk of bias across the included studies varied from moderate to high. The intervention components, dose, and delivery methods differed widely with mixed results. The interventions showed potential benefits for reducing family members' stress-related outcomes (e.g., stress appraisal, guilt) and residents' problematic behaviors. Yet, meta-analysis yielded a non-significant pooled effect for reducing family members' depressive symptoms (mean difference = 1.38, 95% confidence interval [–2.27, 5.04],
p
= 0.46). Evidence in this field is currently insufficient and more well-designed studies with larger sample sizes and use of theoretical frameworks are needed. [
Research in Gerontological Nursing, 14
(1), 43–52.]
Predictors of Patient Portal Use Among Community-Dwelling Older Adults
Authors: Cajita Maan Isabella , Nilsen Marci Lee , Irizarry Taya , Callan Judith A. , Beach Scott R. , Swartwout Ellen , Mecca Laurel Person , Schulz Richard , Dabbs Annette DeVito
Published: September 2020

Older adults lag behind their younger counterparts in the use of patient portals, which may limit their ability to engage in health care. A better understanding of the factors associated with portal use among older adults is needed. We examined the proportion of 100 community-dwelling older adults who reported using a portal, the associations between sociobehavioral factors and portal use, and modeled predictors of portal use. Of the 52% who reported using a portal, 28% used the portal on their own, and 24% received assistance from others or had others access the portal on their behalf. After controlling for confounders, only marital status was significantly associated with any portal use. Marital status and patient activation were significantly associated with independent portal use. Further exploration is warranted to identify additional factors and the possible mechanisms underlying portal use by older adults. [
Research in Gerontological Nursing, 14
(1), 33–42.]
قراءة في مفهوم «المدينة الأميرية» في إفريقية من خلال نموذج رقادة
Authors: عمارة أسماء
Published: September 2020

What is interesting for us in this work is to understand the true meaning of the princely city through the Raqqāda model. In this context, we have conducted research using various Orientalist and Arab studies. It is clear from these studies that these royal or princely cities are divided into two categories, or possibly even three.Raqqāda, is one of the two princely cities that were founded in Ifrīqiya during the Aghlabid dynasty. The other is the city of al-ʿAbbāsiyya. The importance of Raqqāda lies in the fact that it constitutes a transitional point and a passage from the palace-villa to the palace-city, and from the open princely city to the closed princely city. This is what we have seen by navigating between historical texts and archaeological data.Raqqāda was not destroyed by the Normans, but by the severe vandalism of the Banū Hilāl. Nevertheless, there are still some archaeological traces that reflect the princely and royal character of this city, and show that its architecture has mixed the ancient heritage with the oriental influences.
Prediction Models for Healthcare Using Machine Learning
Authors: Gangal Ayushe , Kumar Peeyush , Kumari Sunita , Saini Anu
Published: September 2020

Healthcare is always a sensitive issue for all of us, and it will always remain. Predicting various types of health issues in advance can lead us to a better life. Various types of health problems are there like cancer, heart diseases, diabetes, arthritis, pneumonia, lungs disease, liver disease, and brain disease, which all are at high risk. To reduce the risk of health issues, some suitable models are needed for prediction. Thus, it became as a motivational factor for the authors to survey the existing literature on this topic thoroughly and have consequently to identify suitable machine learning techniques so that improvement can be possible while selecting a prediction model. In this chapter, concept of survey is used to provide the prediction models for healthcare issues along with the challenges associated with each model. This chapter will broadly cover the following: machine learning algorithms used in health industry, study various prediction models for Cancer, Heart diseases, Diabetes and Brain diseases, comparative study of various machine learning algorithms used for prediction.
Application of AI for Computer-Aided Diagnosis System to Detect Brain Tumors
Authors: Das Poulomi , Rajak Rahul , Das Arpita
Published: September 2020

Early detection and proper treatment of brain tumors are imperative to prevent permanent damage to the brain even patient death. The present study proposed an AI-based computer-aided diagnosis (CAD) system that refers to the process of automated contrast enhancement followed by identifying the region of interest (ROI) and then classify ROI into benign/malignant classes using significant morphological feature selection. This tool automates the detection procedure and also reduces the manual efforts required in widespread screening of brain MRI. Simple power law transformation technique based on different performance metrics is used to automate the contrast enhancement procedure. Finally, benignancy/malignancy of brain tumor is examined by neural network classifier and its performance is assessed by well-known receiver operating characteristic method. The result of the proposed method is enterprising with very low computational time and accuracy of 87.8%. Hence, the proposed method of CAD procedure may encourage the medical practitioners to get alternative opinion.
ECG Image Classification Using Deep Learning Approach
Authors: Kanani Pratik , Padole Mamta Chandraprakash
Published: September 2020

Cardiovascular diseases are a major cause of death worldwide. Cardiologists detect arrhythmias (i.e., abnormal heart beat) with the help of an ECG graph, which serves as an important tool to recognize and detect any erratic heart activity along with important insights like skipping a beat, a flutter in a wave, and a fast beat. The proposed methodology does ECG arrhythmias classification by CNN, trained on grayscale images of R-R interval of ECG signals. Outputs are strictly in the terms of a label that classify the beat as normal or abnormal with which abnormality. For training purpose, around one lakh ECG signals are plotted for different categories, and out of these signal images, noisy signal images are removed, then deep learning model is trained. An image-based classification is done which makes the ECG arrhythmia system independent of recording device types and sampling frequency. A novel idea is proposed that helps cardiologists worldwide, although a lot of improvements can be done which would foster a “wearable ECG Arrhythmia Detection device” and can be used by a common man.
Mental Health Through Biofeedback Is Important to Analyze
Authors: Rastogi Rohit , Chaturvedi Devendra Kumar , Gupta Mayank
Published: September 2020

Many apps and analyzers based on machine learning have been designed to help and cure the stress issue. This chapter is based on an experiment that the authors performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In the research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes: audio, visual and audio-visual with the help of data set of tension type headache (TTH) patients. The authors used some data visualization techniques that EMG (electromyography) in audio mode is best among all other modes, and in this experiment, they have used a data set of SF-36 and successfully clustered them into three clusters (i.e., low, medium, and high) using K-means algorithm. After clustering, they used classification algorithm to classify a user (depending upon the sum of all the weights of questions he had answered) into one of these three class. They have also implemented various algorithms for classifications and compared their accuracy out of which decision tree algorithm has given the best accuracy.
Use of IoT and Different Biofeedback to Measure TTH
Authors: Rastogi Rohit , Chaturvedi Devendra Kumar , Gupta Mayank
Published: September 2020

This chapter applied the random sampling in selection of the subjects suffering with headache, and care was taken that they ensure to fulfill the International Headache Society criteria. Subjects under consideration were assigned the two groups of GSR-integrated audio-visual feedback, GSR (audio-visual)- and EMG (audio-visual)-integrated feedback groups. In 10 sessions, the subjects experienced the GSR and EMG BF therapy for 15 minutes. Twenty subjects were subjected to EEG therapy. The variables for stress (pain) and SF-36 (quality of life) scores were recorded at starting point, 30 days, and 90 days after the starting of GSR and EMG-BF therapy. To reduce the anxiety and depression in day-to-day routine, the present research work is shown as evidence in favor of the mindful meditation. The physical, mental, and total scores increased over the time duration of SF-36 scores after 30- and 90-days recordings (p<0.05). Intergroup analysis has demonstrated the improvement. EMG-audio visual biofeedback group also showed highest improvement in SF-36 scores at first and third month follow up. EEG measures the Alpha waves for the subjects after meditation. GSR, EMG, and EEG-integrated auditory-visual biofeedback are efficient in solution of stress due to TTH with most advantage seen.
Gender and Tourism
Authors: Salvador Denise , Breda Zélia , Brandão Filipa
Published: September 2020

An increasing number of women occupy positions in the labour market that were previously restricted to men. This is, however, still limited by the dual roles of working women. This chapter aims to address gender issues in the tourism industry. Specifically, it focuses on female participation in the labour market, highlighting the characteristics of women in leadership positions. A case study approach was used, focusing on female leaders in the hotel sector in Fortaleza, Brazil. An exploratory qualitative study was developed through semi-structured interviews, which aimed to gather data on the career path of female leaders. The collected data allowed understanding how these women reached top-level positions, and their leadership styles. Results indicate that early entry into the labour market, dedication, education, entrepreneurial skills, and dynamic personality are instrumental and work directly affects family relationships, being the cause of some problems in their personal lives.
The Impact of Intellectual Capital on Financial Performance of Hotel Companies
Authors: Matos Raquel , Bailoa Sandra , Teixeira Fernando
Published: September 2020

Although difficult to measure, intellectual capital (IC) is an essential resource for improving financial performance of companies. The hotel industry is characterized by being fundamentally a service provider, and is therefore very dependent of the IC components. Due to the small number of studies that relate IC with hotel sector, this research aims to understand the relationship between IC and financial performance of hotel companies. The sample is made up of 40 Portuguese companies in period between 2011 and 2017. To measure IC value was adopted the VAICTM model, a quantitative method that uses financial data. As representatives of the financial performance, the authors used the indicators of profitability: ROE, ROA, and ROI. The results prove that IC has a positive relationship with the financial performance of companies. Human capital proved to be the variable that has a greater impact on the variables of profitability, confirming the strong influence of human potential in hotel companies.
Antecedents and Consequences of Work-Family Conflict in the Hospitality Industry
Authors: Gürlek Mert , Kılıç İlker
Published: September 2020

Work-family conflict (WFC) is a critical issue for the hospitality industry. Many hospitality employees face the challenges posed by WFC. Therefore, this chapter aims to examine the antecedents and consequences of WFC in the hospitality industry. In this context, the study consists of three main parts. Firstly, WFC and its types are defined; secondly WFC theories are explained; and finally, the antecedents and consequences of WFC in the hospitality industry are provided through an integrative literature review. The literature review covered articles published between 2000 and 2019. Journals included in the research focus on such areas as hospitality management or management and organization. In this context, 47 studies were included in the literature review. Based on the findings, the antecedents and consequences of WFC were classified under four groups as individual, work-based, familial, and organizational. As a result, examining the nature of WFC in the scope of the hospitality industry, which is characterized by fast-paced working environment, can contribute to literature.
New Training Contexts for Geoeducation and Tourism
Authors: Fernandes Gonçalo Poeta , Castro Emanuel , Gomes Hugo , Fernandes Magda
Published: September 2020

The development of non-formal educational strategies and the promotion of territory Serra da Estrela as a didactic resource constitute, at present, a stimulating action model for learning and qualification of human resources, promoting knowledge, and developing competence of value for sustainability. Knowledge of endogenous resources, heritage, and lifestyles enables the development of tourism initiatives to be promoted, recognizing its strategic value (economic and social) and spreading good protection practices. The Estrela Geopark, through the development of educational programs, aims to stimulate contact with the geoheritage of the Serra da Estrela territory in an outdoor learning approach, educating and sensitizing students from different cycles to the importance of geoconservation, heritage enhancement, and sustainability of tourism. In this context, the compression of history, evolution of the Earth and life, in the context of a natural mountain laboratory is promoted, providing knowledge and attitudes for the conservation of heritage and the valorization of the territory.
Overtourism in Coastal Territories in the Perspective of Cruise Tourism
Authors: Brito Mónica Morais de
Published: September 2020

This chapter aims to highlight the role of human capital linked to tourism in its multiple dimensions—host community, tourism professionals, and visitors—in resolving or reducing the negative impacts of excess tourist demand in certain coastal territories, where cruise tourism is responsible for the annual arrival of thousands of visitors. Taking Lisbon as a case study, the author analyzes the relationship between quantity between residents and visitors arriving in the territories on cruise ships, the geographical position of the main tourist attractions in order to assess the degree of concentration of visitors, and evidence relating to reciprocal behaviour and attitudes between visitors and visitors, based on the Doxey Irritability Index.
Developing Chatbots for Supporting Health Self-Management
Authors: Fernández-Avelino Jesús , Alor-Hernández Giner , Paredes-Valverde Mario Andrés , Sánchez-Morales Laura Nely
Published: September 2020

A chatbot is a software agent that mimics human conversation using artificial intelligence technologies. Chatbots help to accomplish tasks ranging from answering questions, playing music, to managing smart home devices. The adoption of this kind of agent is increasing since people are discovering the benefits of them, such as saving time and money, higher customer satisfaction, customer base growing, among others. However, developing a chatbot is a challenging task that requires addressing several issues such as pattern matching, natural language understanding, and natural language processing, as well as to design a knowledge base that encapsulates the intelligence of the system. This chapter describes the design and implementation of a text/speech chatbot for supporting health self-management. This chatbot is currently based on Spanish. The main goal of this chapter is to clearly describe the main components and phases of the chatbot development process, the methods, and tools used for this purpose, as well as to describe and discuss our findings from the practice side of things.
Preservation of Cultural Heritage in an Ethnic Minority Using Internet of Things and Smart Karaoke
Authors: Ochoa Alberto , Contreras-Masse Roberto , Mejia Jose M. , Oliva Diego
Published: September 2020

This research describes an intelligent tool based on a karaoke system to represent the linguistic resources related to a social network for music and songs associated with a cultural bulwark: Otomí (a language spoken in México). This system employs a representation of the Dublin Core metadata standard for document description, composed by XML standard to describe profiles and provide recommendations to a group of persons associated with this social network. The novel idea of this research is the analysis (with an improved methodology) of each search to provide a recommendation based on petitions of each user in this social network, reducing the human efforts spent on the generation of a specific profile. In addition, this chapter presents and discusses some experiments to corroborate the impact of this research, based on quantitative and qualitative evaluations. This chapter introduces an innovative idea of how to help this type of ethnic group.
Author Profiling Using Texts in Social Networks
Authors: Ameer Iqra , Sidorov Grigori
Published: September 2020

The automatic identification of an author's demographic traits (e.g., gender, age group) from their written text is termed as author profiling. This problem has become an essential problem in fields like linguistic forensics, marketing, and security. In recent years, online social setups (e.g., Twitter, Facebook, blogs, hotel reviews) have extended remarkably; however, it is easy to provide fake profiles. This research aims to predict the traits of the authors for a benchmark existing corpus, based on Twitter, hotel reviews, social media, and blogs' profiles. In this chapter, the authors have explored four sets of features, including syntactic n-grams of part-of-speech tags, traditional n-grams of part-of-speech tags, combinations of word n-grams, and combinations of character n-grams. They used word unigram and character three-gram as a baseline approach. After analyzing the results, they concluded that the performance improves when the combination of word n-grams is used.
A Comparison of Personality Prediction Classifiers for Personnel Selection in Organizations Based on Industry 4.0
Authors: Contreras-Masse Roberto , Bonilla Juan Carlos , Mejia Jose M. , Ochoa Alberto
Published: September 2020

Nowadays, the internet has an astonishing amount of useful material for personality mining; nevertheless, many companies fail to exploit the information and screen job candidates using personality tests that fail to grasp the very information they are trying to gather. This research aims to highlight and compare the different machine learning classifiers that can be used to predict the personality of a Spanish-speaking job applicant based on the written content posted on their social networks. The authors conduct experiments considering the most critical measures (such as accuracy, precision, and recall) to evaluate the classification performance. The results show that the random-forest classifier outperforms the other classifiers. It is of utmost importance to correctly assess the resumes to determine the most qualified people in a smart manufacturing position.
Identifying Suggestions in Airline-User Tweets Using Natural Language Processing and Machine Learning
Authors: Jiménez Rafael , García Vicente , Olmos-Sánchez Karla , Ponce Alan , Rodas-Osollo Jorge
Published: September 2020

Social networks have moved from online sites to interact with your friends to a platform where people, artists, brands, and even presidents interact with crowds of people daily. Airlines are some of the companies that use social networks such as Twitter to communicate with their clients through messages with offers, travel recommendations, videos of collaborations with YouTubers, and surveys. Among the many responses to airline tweets, there are users' suggestions on how to improve their services or processes. These recommendations are essential since the success of many companies is based on offering what the client wants or needs. A database of tweets was created using user tweets sent to airline accounts on Twitter between July 30 (2019) and August 8 (2019). Natural language processing techniques were used on the database to preprocess its data. The latest classification results using Naive Bayes show an accuracy of 72.44%.
A Historical and Bibliometric Analysis of the Development of Agile
Authors: Trumbach Cherie C. , Walsh Kenneth R. , Mahesh Sathiadev
Published: September 2020

This chapter starts with a brief history of software development from a summary of traditional approaches and presents the conditions that led to agile approaches such as product complexity, shortened life cycle of the market and eventually to the widespread acceptance of Scrum. The authors then compare the narrative to the bibliometric analysis of abstract records that can be found in the Web of Science database. They parse the terms from the abstract records to identify research trends over time and map the underlying structure of agile research. Finally, they consider the future of Agile-Scrum in light of the current pandemic.
Integrating Scrum Processes Into SDLC Maintenance and Enhancement Projects
Authors: Jewkes Jacqueline H.
Published: September 2020

This chapter discusses the steps necessary to incorporate appropriate Scrum procedures into maintenance and enhancement projects on legacy systems, developed and maintained using a systems development life cycle (SDLC). It considers the benefits of introducing a more modular approach to system development, where the characteristics of existing systems have created interdependent modules, functions, and application architecture. Although these systems represent an investment in money, resources, time, and knowledge that make decommissioning them inexpedient, the process can and must be improved and incorporating Scrum procedures and practices will improve the success rate of maintenance and enhancements to these systems.
The Market Value of Scrum
Authors: Mahesh Sathiadev , Walsh Kenneth R. , Trumbach Cherie C.
Published: September 2020

Scrum technologies have been applied in business software for two decades and are an important part of organizations' innovation processes. This exploratory study examines whether the use of Scrum within an organization can be detected from its financial statements by reviewing references to scrum in corporate financial reports filed with the US Securities and Exchange Commission (SEC). While scrum use is widespread in software development, there are very few references to scrum in corporate financial reports. Fewer than one-half percent of businesses filing reports with the Securities and Exchange Commission include scrum capabilities in their business strategy or business competency sections. It appears that senior management has not yet recognized the value of the technology and evaluated its impact on investor evaluation of business prospects. Investors need to seek other media to evaluate scrum implementation at the business.
Space Policy
Authors: Lahcen Arne , Andrijasevic Djordje
Published: September 2020

This chapter explores the concept of space policy and sheds light on its importance in understanding the nature and evolution of space activities and programs. More specifically, this chapter seeks to offer an introduction on how space policy can be defined and understood, followed by an overview of the main current trajectories of space policies of both national actors as well as international and intergovernmental institutions. Finally, this chapter formulates some conclusions regarding the future potential avenues of space policy and describes how these scenarios could impact the future of human activities and behaviour in space.
SMS, Safety Culture, and the Four Pillars of Safety Applied to Airline Pilot Training
Authors: Petitt Karlene
Published: September 2020

The history of airline safety includes both FAA economic and safety measures that have grown over the years. This article provides a timeline of airline safety trends from crew resource management to safety management systems. Industry challenges are identified to include operational constraints, training challenges, economic concerns, and human factors to indicate a necessary paradigm shift from reactionary strategies toward proactive measures required by a safety culture—reporting culture, just culture, flexible culture, and learning culture. A safety culture is the foundation for safety management systems (SMS) mandated by the FAA for airline operations, to include the four pillars of safety: safety policy, safety risk management, safety assurance, and safety promotion. This article will identify how to integrate SMS, safety culture, and the four pillars of safety into the airline pilot training environment with cost effective strategies to improve safety within an SMS framework supported by a safety culture.
The Adoption of Network-Centric Data Sharing in Air Traffic Management
Authors: Lootens Karel Joris Bert , Efthymiou Marina
Published: September 2020

Network-centric sharing of data between all Air Traffic Management (ATM) stakeholders can improve the aviation network substantially. The System Wide Information Management (SWIM) platform is a platform for the open sharing of all information between aircraft operators, airports, air navigation services providers (ANSPs), and meteorology services, but has struggled to find a following. This article aims to identify the potential reasons for the slow adoption of the SWIM platform, and to investigate how to better communicate its potential. To gain insight into the drivers for each of the stakeholders, a series of semi-structured interviews was conducted with airlines, airports and ANSPs. Moreover, an Airport Collaborative Decision Making (A-CDM) initiative at the airport in Dublin was included as a case study. Recommendations are provided on how to address the results from a governance point of view.