bluuebunny/crossref_metadata_2025 huggingface dataset:
PENYESUAIAN SOSIAL PADA REMAJA DI PANTI SOSIAL YAYASAN RUMAH HARAPAN
Authors: Laila Uthomah  , Nuram Mubina  , Ayu Aniisatuzzulfi
Published: November 2019

This study aims to look at the picture of social adjustment in adolescents in the Rumah Harapan foundation social institutions. This study uses phenomenological qualitative methods so that data collection is carried out intensively, deeply, and comprehensively. Data collection is done by interview and observation. The instrument used for data collection is humans, the researchers themselves. Data analysis activity begins with data collection, personalization, and creating units of meaning to get a textural description. The results showed that the two subjects displayed different social adjustment behaviors. The behavior displayed by MF subjects shows anxiety, likes to mock others, lacks a sense of responsibility, withdraws from relationships, is not confident in his physical condition, whereas KM subject behavior shows he is able to accept social responsibility, confident, able to develop self-potential.

 

Keywords: Orphanage, Social Adjustment, Adolescents.

 

Penelitian ini bertujuan untuk melihat gambaran penyesuaian sosial pada remaja di panti sosial yayasan Rumah Harapan. Penelitian ini menggunakan metode kualitatif fenomenologis sehingga pengambilan data dilakukan secara intensif, mendalam, dan komprehensif. Pengumpulan data dilakukan dengan wawancara dan observasi. Instrument yang digunakan untuk pengumpulkan data adalah manusia, yaitu peneliti sendiri.  Kegiatan analisis data dimulai dengan pengumpulan data, horisonalisasi, dan membuat unit makna untuk mendapatkan textural description. Hasil penelitian menunjukkan bahwa kedua subjek menampilkan perilaku penyesuaian sosial yang berbeda. Perilaku yang ditampilkan subjek MF menunjukkan adanya kecemasan, senang mencemooh orang lain, kurang memiliki rasa tanggung jawab, menarik diri dari pergaulan, tidak percaya diri dengan kondisi fisiknya, Sedangkan perilaku subjek KM menunjukkan ia mampu menerima tanggung jawab secara sosial, percaya diri, mampu mengembangkan potensi diri.

Kata kunci: Panti Asuhan, Penyesuaian Sosial, Remaja.
DINAMIKA PSIKOLOGIS PADA MANTAN PECANDU NAPZA YANG SEDANG MENJALANI PROGRAM SUBSTITUSI ORAL METADON (STUDI KASUS)
Authors: Wina Lova Riza
Published: November 2019

This study aims to determine the psychological dynamics of former drug addicts, starting from drug abuse until they become addicted, deciding to stop using them. This study uses a qualitative approach, the subject or informant is determined using a non-probability sampling technique with a purposive sampling type based on predetermined criteria, which involves one informant, namely a male (F) aged 42 years. Data collection methods used in this study are in-depth interviews (in depth interviews), where researchers will interview informants with semi-structured interviews. In addition, researchers also used observation and psychological tests, which are graphic tests in the form of DAM (Draw a Man) and BAUM (tree drawing) tests, and intelligence tests using WAIS. The data analysis technique used is case study analysis of case / incident patterns. Based on the results of research F became a drug addict because of the learning process, where the enjoyment and lack of parental supervision is a reinforcement to continue using drugs. Generalization of people, places, pleasure makes it difficult for F to stop using drugs.

 

Keywords: Psychological Dynamics, Drug Addicts.

Penelitian ini bertujuan untuk mengetahui dinamika psikologis mantan pecandu napza, dimulai dari awal menyalahgunan napza hingga menjadi kecanduan, memutuskan untuk berhenti memakai. Penelitian ini menggunakan pendekatan kualitatif, Subjek atau informan ditentukan dengan menggunakan tehnik sampling non-probability sampling dengan tipe purposive sampling berdasarkan kriteria yang telah ditentukan, yaitu melibatkan satu informan, yaitu laki-laki (F) yang berusia 42 tahun. Metode pengumpulan data yang digunakan dalam penelitian ini adalah dengan wawancara secara mendalam (in depth interview), dimana peneliti akan menwawancarai informan dengan wawancara semi terstruktur. Selain itu peneliti juga menggunakan observasi serta menggunakan tes-tes psikologi, yaitu tes grafis berupa tes DAM (Draw a Man) dan BAUM (tes menggambar pohon), serta tes inteligensi dengan menggunakan WAIS. Tehnik analisis data yang digunakan adalah menggunakan analisis studi kasus pola kasus/kejadian. Berdasarkan hasil penelitian F menjadi pecandu narkoba karena adanya proses belajar, dimana kenikmatan dan kurangnya pengawasan orang tua merupakan reinforcement untuk terus menggunakan napza. Adanya generalisasi terhadap people, place, pleasure menyebabkan F sulit untuk berhenti menggunakan napza.

Kata Kunci: Dinamika Psikologis, Mantan Pengguna Napza
EVALUASI PELATIHAN DI PT. PUPUK KUJANG CIKAMPEK
Authors: Lania Muharsih  , Ratih Saraswati
Published: November 2019

This study aims to determine the training evaluation at PT. Kujang Fertilizer. PT. Pupuk Kujang is a company engaged in the field of petrochemicals. Evaluation sheet of PT. Fertilizer Kujang is made based on Kirkpatrick's theory which consists of four levels of evaluation, namely reaction, learning, behavior, and results. At level 1, namely reaction, in the evaluation sheet is in accordance with the theory of Kirkpatrick, at level 2 that is learning should be held pretest and posttest but only made scale. At level 3, behavior, according to theory, but on assessment factor number 3, quantity and work productivity should not need to be included because they are included in level 4. At level 4, that is the result, here is still lacking to get a picture of the results of the training that has been carried out because only based on answers from superiors without evidence of any documents.

 

Keywords: Training Evaluation, Kirkpatrick Theory.

 

 Penelitian ini bertujuan mengetahui evaluasi training di PT. Pupuk Kujang. PT. Pupuk Kujang merupakan perusahaan yang bergerak di bidang petrokimia. Lembar evaluasi PT. Pupuk Kujang dibuat berdasarkan teori Kirkpatrick yang terdiri dari empat level evaluasi, yaitu reaksi, learning, behavior, dan hasil. Pada level 1 yaitu reaksi, di lembar evaluasi tersebut sudah sesuai dengan teori dari Kirkpatrick, pada level 2 yaitu learning seharusnya diadakan pretest dan posttest namun hanya dibuatkan skala. Pada level 3 yaitu behavior, sudah sesuai teori namun pada faktor penilaian nomor 3 kuantitas dan produktivitas kerja semestinya tidak perlu dimasukkan karena sudah termasuk ke dalam level 4. Pada level 4 yaitu hasil, disini masih sangat kurang untuk mendapatkan gambaran hasil dari pelatihan yang sudah dilaksanakan karena hanya berdasarkan dari jawaban atasan tanpa bukti dokumen apapun.

 

Kata kunci: Evaluasi Pelatihan, Teori Kirkpatrick.
Beet washing in the French way
Authors: Bartels Burkhard , Dhermy Thomas , Majchrzak Fabien
Published: November 2019

Beet washing is often considered to be of secondary priority compared with other stations of the beet sugar process. But it is as important as the others are and one can consider it as the first stage of purification. Many positive or negative effects in the downstream stations originate here. The French system uses drum washers for pre/main and final washing. They treat the beet gently and efficiently, resulting in low remaining tare content and low sugar losses as well, even with heavy and sticky soils. The wash water is mainly flowing counter-current to the beet flow with the effect, that water demand is low and dry matter in the outlet water is higher than most other systems. This technology, engineered in the right way, can generate many positive effects on the entire front-end operation of the factory.
Monitoring juice hold-up in a cane diffuser bed using electrical conductivity – evaluation on a plant scale
Authors: Angel Diana Maritza Segura , Love David , Jensen Paul , Seleghim Paulo
Published: November 2019

The extraction of sucrose in a sugarcane diffuser depends on the percolation rate of juice through the cane bed. High percolation rates promote mass transfer and increase the wetness of the cane bed (i.e. liquid hold-up within the bed) thereby improving sucrose extraction. However, increasing the rate of juice applied to the surface of the cane bed above the maximum percolation rate results in flooding, causing uncontrolled mixing of juice, destruction of the dry substance content profile and reduced extraction. Flooding in the diffuser can be avoided by installing feedback control of adjustable sprays that alter the application area of juice onto the bed surface and automatically keeping the percolation rate optimised. Electrical conductivity of the cane bed, measured between the bed surface and the bottom screen of the diffuser, has been investigated as a possible online indicator of juice hold-up within the cane bed to provide the necessary measurement for implementing feedback control that can optimise percolation rates. Full scale tests were conducted on the Tongaat Hulett cane diffuser at the Maidstone factory. Reproducibility tests were done to confirm that there is a relationship between conductance and liquid hold-up.
Dextran-induced modifications of calcium carbonate particles precipitated during carbonatation
Authors: Abraham Karin , Splett Liza , Flöter Eckhard
Published: November 2019

The effects of high and low molecular mass dextran (T2000 and T40) on the size and shape of particles precipitated during carbonatation and their correlation with filtration performances were key to this study. Varying contents of T2000 and T40 dextran in sugar solutions corresponding to DS contents of thin juice were investigated. For particle size and shape analysis, static image analysis and laser particle size analysis were used. Both methods, static image analysis and laser diffraction, revealed that the presence of T2000 and T40 dextran leads to a higher amount of large-sized particles at the expense of small-sized particles, indicating pronounced agglomeration. The additional evaluation of shape parameters (circularity, roundness, solidity) obtained from static image analysis indicates that the agglomeration is oriented in the absence and in the presence of lower T40 dextran levels. Besides, non-oriented agglomeration, resulting in more round agglomerates with smoother surfaces, was found for samples loaded with T2000 dextran and high T40 dextran levels. Only the latter samples have shown to negatively affect the filtration performance. Thus, in the presence of T2000 dextran and high T40 dextran levels, the filtration was hampered. This appears to be mainly caused by a tighter packing of more round calcium carbonate agglomerates in the porous structure of the filter cake.
Effect of dextran and enzymatically decomposed dextran on the sucrose crystal shape
Authors: Abraham Karin , Brykczynski Henriette , Rudolph-Flöter E.S.J. , Schlumbach Karl , Schäfer A. , Flöter Eckhard
Published: November 2019

The effect of dextran’s molecular mass distribution on the sucrose crystal shape was key to this study. Therefore, sucrose crystals were produced by evaporating crystallization experiments using synthetic thick juices in the form of pure sugar syrups containing high (T2000) and low (T40) molecular mass dextran fractions as well as enzymatically decomposed dextran. The combined analysis of molecular mass distributions by size exclusion chromatography and sucrose crystal shapes by static image analysis were used to identify the least harmful reaction products resulting from the enzymatic decomposition of dextran. The combined evaluation of two shape parameters, circularity and width-to-length ratio, has shown that three different shape modifications can be related to the presence of dextran, namely cube-shaped crystals, elongated needle-shaped crystals and agglomerates. In the main, the data indicated that high T2000 contents and generally all T40 dextran contents led to an increased occurrence of agglomerated and occasionally elongated crystals. The latter was especially found for high T2000 dextran contents. In contrast, low T2000 dextran contents predominantly increased the amount of cube-like crystals. The enzymatic decomposition of dextran resulted in a gradual reduction of the molecular mass. It was shown that an insufficient decomposition to broadly distributed low molecular mass dextran fragments, which are realistic to assume for technical cane and beet juices, still dramatically affected the sucrose crystal shape. Once dextran was decomposed to molecules with molecular masses of less than 5 kDa, no dextran-related effects on the sucrose crystal shape were found.
Normative Values of Saccades and Smooth Pursuit in Children Aged 5 to 17 Years
Authors: Sinno Solara , Najem Fadi , Smith Abouchacra Kim , Perrin Philippe , Dumas Georges
Published: November 2019

Background: Pediatric oculomotor function can be evaluated via videonystagmography. Adult normativedata for saccades and smooth pursuit tests cannot be used as a benchmark for pediatric patientsbecause children’s peripheral and central systems continue to mature throughout adolescence.
Purpose: The purpose of this study was to establish normative data for saccade and smooth pursuit teststhat can be used clinically in the assessment of vestibular and neurological disorders in children, and toinvestigate the effect of age and eye movement direction (left/right) on tests parameters.
Research Design: The present study is prospective cross-sectional study.
Study Sample: A total of 120 healthy children were recruited and equally distributed according to ageand gender to each of the following groups: 5–8, 9–11, 12–14, and 15–17 years old. Participants had topass a comprehensive otological and neurological assessment prior to inclusion in the study. Each subjectunderwent saccade and smooth pursuit testing.
Data Collection and Analysis: Saccade latency, velocity and accuracy/precision, and smooth pursuitgain were analyzed across groups using a two-way repeated measure multivariate analysis of variance(MANOVA).
Results: Saccadic latency was longer in the youngest group aged 5–8 years old (305 ± 48 msec) incomparison to children aged 9–11 years old (276 ± 22 msec) (P = 0.017), 12–14 years old (252 ± 34 msec) (P = 0.001) adolescents 15–17 years (256 ± 33 msec) (P = 0.001). Age did not affect theresults of saccadic velocity and accuracy/precision. Saccade parameters (latency, velocity, accuracy/precision) were not affected by oculomotor direction (left vs. right). Smooth pursuit gain increased from0.63 in children aged 5–8 years old to 0.85 in children aged 15–17 years (P = 0.0001). The percentage ofgain asymmetry was significantly different in the youngest two groups.
Conclusion: Saccade latency decreased as age increased. Smooth pursuit gains increased with increasedage. Saccade velocity and accuracy/precision did not change significantly from ages 5–8 to15–17 years of age. These data provide normative values for pediatric oculomotor evaluation and suggestthat saccade and pursuit pathways may mature at different rates.
The Most Massive Galaxies with Large Depleted Cores: Structural Parameter Relations and Black Hole Masses
Authors: Dullo Bililign T.
Published: November 2019

Luminous spheroids (M

V
≲ −21.50 ± 0.75 mag) contain partially depleted cores with sizes (R
b) typically 0.02–0.5 kpc. However, galaxies with R
b > 0.5 kpc are rare and poorly understood. Here, we perform detailed decompositions of the composite surface brightness profiles, extracted from archival Hubble Space Telescope and ground-based images, of 12 extremely luminous “large-core” galaxies that have R
b > 0.5 kpc and M

V
 ≲ −23.50 ± 0.10 mag, fitting a core-Sérsic model to the galaxy spheroids. Using 28 “normal-core” (i.e., R
b < 0.5 kpc) galaxies and one “large-core” (i.e., R
b > 0.5 kpc) galaxy from the literature, we constructed a final sample of 41 core-Sérsic galaxies. We find that large-core spheroids (with stellar masses M
* ≳ 1012
M
☉) are not simple high-mass extensions of the less luminous normal-core spheroids having M
* ∼ 8 × 1010–1012
M
☉. While the two types follow the same strong relations between the spheroid luminosity L

V
and R
b (

), and the spheroid half-light radius R
e (

, for ellipticals plus Brightest Cluster Galaxies), we discover a break in the core-Sérsic σ–L

V
relation occurring at M

V
 ∼ −23.50 ± 0.10 mag. Furthermore, we find a strong log-linear R
b–M
BH relation for the 11 galaxies in the sample with directly determined supermassive black hole (SMBH) masses M
BH—3/11 galaxies are large-core galaxies—such that

. However, for the large-core galaxies the SMBH masses estimated from the M
BH–σ and core-Sérsic M
BH–L relations are undermassive, by up to a factor of 40, relative to expectations from their large R
b values, confirming earlier results. Our findings suggest that large-core galaxies harbor overmassive SMBHs (M
BH ≳ 1010
M
☉), considerably (∼3.7–15.6σ and ∼0.6–1.7σ) larger than expectations from the spheroid σ and L, respectively. We suggest that the R
b–M
BH relation can be used to estimate SMBH masses in the most massive galaxies.
Particle Acceleration in Shearing Flows: Efficiencies and Limits
Authors: Rieger Frank M. , Duffy Peter
Published: November 2019

We examine limits to the efficiency for particle acceleration in shearing flows, showing that relativistic flow speeds are required for efficient gradual shear acceleration. We estimate maximum achievable particle energies for parameters applicable to the relativistic jets of active galactic nuclei. The implications of our estimates is that if large-scale jets are relativistic, then efficient electron acceleration up to several PeV and proton acceleration up to several EeV energies appears feasible. This suggests that shear particle acceleration could lead to a continued energization of synchrotron X-ray emitting electrons, and be of relevance for the production of ultra-high-energy cosmic-ray particles.
First Results from TESS Observations of Comet 46P/Wirtanen
Authors: Farnham Tony L. , Kelley Michael S. P. , Knight Matthew M. , Feaga Lori M.
Published: November 2019

We report on initial results from 20 days’ worth of Transiting Exoplanet Survey Satellite spacecraft observations of comet 46P/Wirtanen. The long-duration, high-cadence measurements show a 2018 September 26 outburst that exhibited a two-phase, 0.5 mag brightening profile, and may be the best temporally characterized natural outburst ever recorded. Gas velocities from the outburst peaked at 800

, while dust expanded at only 10s of

. Coadded images also revealed a previously unreported dust trail that extends beyond the 24° field of view.
Kut gen. nov., a new troglomorphic spider genus from Turkey (Araneae, Dysderidae)
Authors: Kunt Kadir Boğaç , Elverici Mert , Yağmur Ersen Aydın , Özkütük Recep Sulhi
Published: November 2019

A new genus of troglomorphic Dysderidae is described, based mainly on the morphology of copulatory organs. The new genus Kutgen. nov., with the type species Harpactocrates troglophilus Brignoli, 1978, also includes two recently discovered new species from the coastal Mediterranean Turkey: Kut izmiricussp. nov. and K. dimensissp. nov. All three species display troglomorphic traits, most distinct in K. dimensissp. nov. Another genus-level trait is a characteristic simple type of bulb in males. Female copulatory organ shows similarity to the endemic Caucasian genus Cryptoparachtes Dunin, 1992 in paraspermatheca structure, whereas the male copulatory organ is unique among all known Dysderidae.
Engaging With Aging: A Framework for Managing Daily Living
Authors: Carnevali Doris L. , Primomo Janet , Belza Basia
Published: November 2019

Older adults live with the constant reality of having to manage their daily living with the emergence and progression of normal age-related changes that alter their usual capacities and resource needs. Although literature addresses successful aging, gaps exist in our understanding about how older adults manage daily living tasks, particularly from their viewpoint. To address this, the current authors propose Engaging with Aging (EWA), a perspective and set of processes older adults can use to approach daily living in a reasoned, purposeful manner that has similarities with clinical reasoning. EWA, a person-centered approach, can be considered citizen science in that it was developed by a nonagenarian based on personal experiences. Research using the EWA framework has the potential to advance the science of how older adults can manage and adapt to the impact of age-related changes to maintain independence and life satisfaction, and ultimately contribute to the development of care strategies. [
Journal of Gerontological Nursing, 45
(12), 13–20.]
Emerging Smart Home Technologies to Facilitate Engaging With Aging
Authors: Choi Yong K. , Lazar Amanda , Demiris George , Thompson Hilaire J.
Published: November 2019

Engaging with aging (EWA), the ongoing process of an individual to identify resources and implement adaptive strategies to maximize quality of life, may be enhanced by advances in information technology and adaptive upgrades to the built environment. Smart home technologies (SmHT) introduce passive monitoring features into the residential infrastructure to promote older adults' ability to manage day-to-day living and age in place. This article provides an overview of current and emerging SmHT and discusses opportunities to leverage this technology for enhancing the capacity of older adults to engage with their own aging. There are opportunities to create smart homes that enhance physical and cognitive capacity for older adults, but there are also ethical and practical challenges that will inform the design of future smart home systems. [
Journal of Gerontological Nursing, 45
(12), 41–48.]
Investigation of Longitudinal Data Analysis: Hierarchical Linear Model and Latent Growth Model Using a Longitudinal Nursing Home Dataset
Authors: Shin Juh Hyun , Shin In-Soo
Published: November 2019

The appropriate use of the data analysis method in a longitudinal design remains controversial in gerontological nursing research. The objective of the current study is to compare statistical approaches between a hierarchical-linear model (HLM) and a latent-growth model (LGM) in random effects, variance explained, growth trajectory, and model fitness. Secondary analysis of longitudinal data was used. Two variables were chosen to demonstrate the comparison between statistical methods. The HLM was superior in addressing unbalanced data in repeated-measures analysis of variance (ANOVA) and multivariate ANOVA because its nested data structure and random effects could be estimated. The LGM had advantages in modeling growth trajectories and model-fit comparisons. Superior to the HLM, the LGM reported more acceptable data fit, reporting a quadratic model, and successfully differentiated between and within components. The current research provides some evidence for applying appropriate statistical methods when addressing longitudinal datasets in gerontological nursing research. [
Research in Gerontological Nursing, 12
(6), 275–283.]
El sector más occidental de la Formación de Los Navalucillos, Cámbrico inferior: microbialitas en yacimientos mareales de la Zona Centroibérica, Monte de Toledo, España
Authors: Menéndez S. , Rodríguez-Martínez M. , Moreno-Eiris E. , Perejón A.
Published: November 2019

En la Zona Centroibérica del Macizo Ibérico, la Formación de Los Navalucillos, interpretada como depósitos carbonatados mareales y de aguas someras, contiene un importante conjunto faunístico de arqueociatos. Se describen aquí dos nuevos afloramientos característicos de la parte más occidental, cerca de La Nava de Ricomalillo: (i) la Estrella, donde las rocas están fuertemente afectadas por el metamorfismo de contacto debido a un complejo plutónico cercano; y (ii) la sucesión de la Finca Higueruela, sin facies bioconstructoras de calcimicrobios y arqueociatos, aunque se observan diferentes microbialitas, como estromatolitos y oncolitos.
Nuevo registro de la biota ediacárica en la Arenisca de Jodhpur (Supergrupo de Marwar), Rajasthan occidental, India
Authors: Parihar V. S.
Published: November 2019

En el oeste de Rajasthan, India, la Arenisca de Jodhpur (Supergrupo de Marwar) ha librado un nuevo conjunto fósil ediacárico que comprende especímenes macroscópicos bien conservados de Aspidella, Hiemalora, grandes discos ediacáricos, Tirasiana disciformis, asteroides de Medusinites, fósiles de cuerpo blando ediacáricos similares a Anfesta y estructuras de tapices microbianas (Arumberia banksi, estructuras microbianas de tipo Kinneyia, estructuras microbianas arrugadas y otras estructuras microbianas). El registro fósil permite sugerir una amplia correlación con la Formación de Fermuse, Terranova, Australia meridional, el Mar Blanco de Rusia y Noruega, y la correlación regional con el Grupo de Bhander (Supergroup de Vindhyan) y el Grupo de Krol del Himalaya Interior.
Evaluación de la Formación ediacárica de Doushantuo: mejora de la correlación estratigráfica de las pizarras negras de Doushantuo superior a partir del contenido en mercurio
Authors: Nolan M. , Xiao S. , Gill B. C. , Jones D. , Zhou C.
Published: November 2019

Los enriquecimientos de mercurio en la unidad de esquisto negro de la Formación ediacárica de Doushantuo son probablemente el resultado de la influencia volcánica o del depósito de mercurio mediante anoxia. Si los enriquecimientos de Hg son de origen volcánico, o se deben a una anoxia regional contemporánea, entonces los patrones de enriquecimiento de Hg son consistentes con la correlación convencional de estas unidades, con las unidades tripartitas equivalentes a la pizarra negra del Miembro IV. Además, la comparación de los datos redox de los intervalos de enriquecimiento en Hg podría indicar si los enriquecimientos se deben a cambios comparables en las condiciones redox, o a un aumento de la entrada de Hg bajo diferentes condiciones redox, consistente con la influencia volcánica.
Instruments Development of Tri Kaya Parisudha-Based Countenance Model in Evaluating the Blended Learning
Authors: Divayana Dewa Gede Hendra , Adiarta Agus , Sudirtha I Gede
Published: November 2019

This study intended to develop the Countenance model evaluation instruments that were integrated with the Tri Kaya Parisudha concept as a blended learning evaluation tool for Tourism Vocational Schools in Gianyar Regency. This study approach was the instrument development, by several development stages, including evaluation components determination, evaluation aspects determination, instrument items determination, instrument items trial, instrument items analysis, and final items determination. The instruments which were used in data collection were questionnaires and documentation. Subjects those were involved in instrument trial on the content validation process were two experts (experts in informatics engineering education and educational evaluation), while the reliability testing process were 48 respondents (teachers and students). The instruments analysis technique during the content validation process used the Gregory formula, while during the reliability test process using the Cronbach Alfa formula. This study produced 122 items with very high validity and very high reliability categories, as evidenced by the r-scores of 0.938 and 0.961, respectively.
A Roadmap to the Development of Key Competencies of Engineering and Technology Graduates
Authors: Aleryani Arwa Y. , AlMunifi Abdullatif A.
Published: November 2019

The world of employment is impacted by major trends that are imposed by the on-going industrial advances. The changing labor market and the future of work calls for a paradigm shift in teaching and learning to equip graduates with compe-tencies they need for current and future jobs, and in particular, those of the engi-neering and technology programs. The purpose of this study is to discuss previ-ous work in the subject matter, to outline a set of teaching and learning strategies, and to create a roadmap for main players to work through to arm graduates with the intended competencies skills. To achieve this objective an extensive literature review was carried out to identify what teaching and learning strategies are cur-rently in-place, and what skills are anticipated. However, still, the education insti-tutions not been able to provide the workplace with competent graduates. A pro-posed set of intended competencies skills along with teaching and learning strate-gies for properly preparing future engineering and technology graduates was de-veloped; and a roadmap was built to show the roles of college administration, professors and students to ensure an effective way to support students gaining these skills. It is recommended that these sets of strategies including the facilita-tion of the roles of the main players to be incorporated in the educational pro-grams learning outcomes.
A Guideline to Use Activity Theory for Collaborative Healthcare Information Systems Design
Authors: Durst Carolin , Wickramasinghe Nilmini , Riechert Jana
Published: November 2019

In healthcare, collaborative systems serve very different stakeholders: researchers, clinicians, nurses, patients, and administrators for instance. In order to design a collaborative healthcare information system that satisfies the stakeholders' needs, all individual requirements have to be mapped into the software. Traditional system design focuses at technical features and oftentimes ignores social requirements like human factors or organizational structures. Instead of integrating existing processes and working habits into a system, a technical-focused design approach tries to force new behaviors. As a result, stakeholders could refuse to use collaborative healthcare information systems. In line with Kuutti (1991), we recommend activity theory as a rich framework to study and design collaborative information systems. We believe that activity theory analysis is particularly useful for healthcare settings where diverse stakeholders pursue very different goals. This book chapter offers a structured approach to analyze collaborative activities and to design the IT-support accordingly.
For Better Healthcare Mining Health Data
Authors: Gürsel Güney
Published: November 2019

Data mining has great contributions to the healthcare such as support for effective treatment, healthcare management, customer relation management, fraud and abuse detection and decision making. The common data mining methods used in healthcare are Artificial Neural Network, Decision trees, Genetic Algorithms, Nearest neighbor method, Logistic regression, Fuzzy logic, Fuzzy based Neural Networks, Bayesian Networks and Support Vector Machines. The most used task is classification. Because of the complexity and toughness of medical domain, data mining is not an easy task to accomplish. In addition, privacy and security of patient data is a big issue to deal with because of the sensitivity of healthcare data. There exist additional serious challenges. This chapter is a descriptive study aimed to provide an acquaintance to data mining and its usage and applications in healthcare domain. The use of Data mining in healthcare informatics and challenges will be examined.
Population Health Management and the Science of Individuality
Authors: Moumtzoglou Anastasius , Pouliakis Abraham
Published: November 2019

This article espouses that population health management (PHM) has been a discipline which studies and facilitates care delivery across a group of individuals or the general population. In the context of population health management, the life science industry has had no motivation to design drugs or devices that are only effective for a distinct segment of the population. The major outgrowth of the science of individuality, as well as the rising ‘wiki medicine', fully recognizes the uniqueness of the individual. Cloud computing, Big Data and M-Health technologies offer the resources to deal with the shortcomings of the population health management approach, as they facilitate the propagation of the science of individuality.
A Yes/No Answer Generator Based on Sentiment-Word Scores in Biomedical Question Answering
Authors: Sarrouti Mourad , El Alaoui Said Ouatik
Published: November 2019

Background and Objective: Yes/no question answering (QA) in open-domain is a longstanding challenge widely studied over the last decades. However, it still requires further efforts in the biomedical domain. Yes/no QA aims at answering yes/no questions, which are seeking for a clear “yes” or “no” answer. In this paper, we present a novel yes/no answer generator based on sentiment-word scores in biomedical QA. Methods: In the proposed method, we first use the Stanford CoreNLP for tokenization and part-of-speech tagging all relevant passages to a given yes/no question. We then assign a sentiment score based on SentiWordNet to each word of the passages. Finally, the decision on either the answers “yes” or “no” is based on the obtained sentiment-passages score: “yes” for a positive final sentiment-passages score and “no” for a negative one. Results: Experimental evaluations performed on BioASQ collections show that the proposed method is more effective as compared with the current state-of-the-art method, and significantly outperforms it by an average of 15.68% in terms of accuracy.
Efficient String Matching Algorithm for Searching Large DNA and Binary Texts
Authors: Al-Ssulami Abdulrakeeb M. , Mathkour Hassan I. , Arafah Mohammed Amer
Published: November 2019

The exact string matching is essential in application areas such as Bioinformatics and Intrusion Detection Systems. Speeding-up the string matching algorithm will therefore result in accelerating the searching process in DNA and binary data. Previously, there are two types of fast algorithms exist, bit-parallel based algorithms and hashing algorithms. The bit-parallel based are efficient when dealing with patterns of short lengths, less than 64, but slow on long patterns. On the other hand, hashing algorithms have optimal sublinear average case on large alphabets and long patterns, but the efficiency not so good on small alphabet such as DNA and binary texts. In this paper, the authors present hybrid algorithm to overcome the shortcomings of those previous algorithms. The proposed algorithm is based on q-gram hashing with guaranteeing the maximal shift in advance. Experimental results on random and complete human genome confirm that the proposed algorithm is efficient on various pattern lengths and small alphabet.
Concept Attribute Labeling and Context-Aware Named Entity Recognition in Electronic Health Records
Authors: Pomares-Quimbaya Alexandra , Gonzalez Rafael A. , Velandia Oscar Mauricio Muñoz , Peña Angel Alberto Garcia , Rodríguez Julián Camilo Daza , Múnera Alejandro Sierra , Labbé Cyril
Published: November 2019

Extracting valuable knowledge from Electronic Health Records (EHR) represents a challenging task due to the presence of both structured and unstructured data, including codified fields, images and test results. Narrative text in particular contains a variety of notes which are diverse in language and detail, as well as being full of ad hoc terminology, including acronyms and jargon, which is especially challenging in non-English EHR, where there is a dearth of annotated corpora or trained case sets. This paper proposes an approach for NER and concept attribute labeling for EHR that takes into consideration the contextual words around the entity of interest to determine its sense. The approach proposes a composition method of three different NER methods, together with the analysis of the context (neighboring words) using an ensemble classification model. This contributes to disambiguate NER, as well as labeling the concept as confirmed, negated, speculative, pending or antecedent. Results show an improvement of the recall and a limited impact on precision for the NER process.
An Artificial Neural Network Classification of Prescription Nonadherence
Authors: Walczak Steven , Okuboyejo Senanu R.
Published: November 2019

This study investigates the use of artificial neural networks (ANNs) to classify reasons for medication nonadherence. A survey method is used to collect individual reasons for nonadherence to treatment plans. Seven reasons for nonadherence are identified from the survey. ANNs using backpropagation learning are trained and validated to produce a nonadherence classification model. Most patients identified multiple reasons for nonadherence. The ANN models were able to accurately predict almost 63 percent of the reasons identified for each patient. After removal of two highly common nonadherence reasons, new ANN models are able to identify 73 percent of the remaining nonadherence reasons. ANN models of nonadherence are validated as a reliable medical informatics tool for assisting healthcare providers in identifying the most likely reasons for treatment nonadherence. Physicians may use the identified nonadherence reasons to help overcome the causes of nonadherence for each patient.
Semantic Reconciliation of Electronic Health Records Using Semantic Web Technologies
Authors: El Guemhioui Karim , Demurjian Steven A.
Published: November 2019

In this paper, the authors present an approach to reconcile the semantics of distinct medical terms found in personal health records (PHRs - that store data controlled by patients) and electronic medical records (EMRs - that store data controlled by providers) that are utilized to describe the same concept in different systems. The authors present a solution for semantic reconciliation based on RDF and related semantic web technologies. As part of the solution, the authors utilize a centralized repository of ontologies to: uniformly interrogate the medical coding systems in which those terms are defined, extract all of their published synonyms, and save the results as RDF triples. The final step in the process is to employ a reasoner to infer non-explicit synonymy among those terms, hence evidencing the underlying semantics to the PHR and EMR systems for possible further processing.
An Affordable Hybrid Cloud Based Cluster for Secure Health Informatics Research
Authors: Qureshi Basit
Published: November 2019

This article describes how a major risk factor in the deployment of patient health records systems in the cloud is the security and privacy of data. Hybrid cloud solutions have been proposed that leverage the public and private cloud deployment to manage and alleviate accessibility, access control and privacy concerns. This article presents a privacy preserving and secure architecture for data acquisition, storage, processing and sharing. The proposed architecture is composed of a public cloud-based services that interact with a low-cost cloud computing cluster (LoC4) as a backend. A lightweight data security eco-system based on attribute based encryption is developed to provide security for public cloud-based data storage. Performance of the deployment is evaluated in a real-time deployment environment. The results show that the proposed ABE-based system is 2.3 times faster than AES-based for a variety of sizes of data blocks. It is further noted that the low-cost and affordability of LoC4 platform offers excellent opportunities for academic research in cloud based health informatics.
EEMI - An Electronic Health Record for Pediatricians
Authors: Lavariega Juan C. , Garza Roberto , Gómez Lorena G , Lara-Diaz Victor J. , Silva-Cavazos Manuel J.
Published: November 2019

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.
Energy Efficient Particle Optimized Compressed ECG Data over Zigbee Environment
Authors: Kumar Dilip , Kumar Rajeev , Singla Tony
Published: November 2019

Standard Electrocardiogram Tracking instruments are huge to carry away over the remote areas for the surveillance. Holter is the compact instrument meant for collecting ECG of a patient without a pause while the patient is on the go of their daily activities. Holter works on battery for 48 hours without any angle of transmission but when allowed to transmit battery power dies soon, for these purposes some energy saving techniques is required. In this chapter the authors have proposed a Wavelet based Compression Technique, followed by Optimization under Genetic Algorithm and Particle Swarm Optimization. Compressed and Optimized ECG data has been transferred over Zigbee IEEE 802.15.4 with the intention of saving energy implicating it on a hardware chip. Transferred data will be available to the Doctor for on time treatment and further examination and storage. Embedded prior techniques in Holter can enhance its life, with fact of sending crucial data.
Electromyogram and Inertial Sensor Signal Processing in Locomotion and Transition Classification
Authors: Joshi Deepak , Hahn Michael E.
Published: November 2019

Signal processing in biomedical engineering is essentially required for classification while serving mainly two aims. The first is noise removal and the second is signal representation. Signal representation deals with transforming the signal in such a way that the signal is most informative in that particular domain for the application at hand. This chapter will describe signal processing methods like spectrogram with specific applications to locomotion and transition classification using Electromyography (EMG) data. A wavelet analysis application on foot acceleration signals for automatic identification of toe off in locomotion and the ramp transition is also shown. Finally, the performance of EMG and accelerometer performance across different time windows of a gait cycle in locomotion and transition classification is presented with an emphasis on fusing the data from both sensors for better classification.
Integrated Approach for Automatic Crackle Detection Based on Fractal Dimension and Box Filtering
Authors: Pinho Cátia , Oliveira Ana , Jácome Cristina , Rodrigues João Manuel , Marques Alda
Published: November 2019

Crackles are adventitious respiratory sounds (RS) that provide valuable information on different respiratory conditions. Nevertheless, crackles automatic detection in RS is challenging, mainly when collected in clinical settings. This study aimed to develop an algorithm for automatic crackle detection/characterisation and to evaluate its performance and accuracy against a multi-annotator gold standard. The algorithm is based on 4 main procedures: i) recognition of a potential crackle; ii) verification of its validity; iii) characterisation of crackles parameters; and iv) optimisation of the algorithm parameters. Twenty-four RS files acquired in clinical settings were selected from 10 patients with pneumonia and cystic fibrosis. The algorithm performance was assessed by comparing its results with a multi-annotator gold standard agreement. High level of overall performance (F-score=92%) was achieved. The results highlight the potential of the algorithm for automatic crackle detection and characterisation of RS acquired in clinical settings.
Utilizing Combined Claims and Clinical Datasets for Research Among Potential Cases of Rare Diseases
Authors: Bennett Kevin J. , Mann Joshua , Ouyang Lijing
Published: November 2019

With data quality issues with administrative claims and medically derived datasets, a dataset derived from a combination of sources may be more effective for research. The purposes of this article is to link an EMR-based data warehouse with state administrative data to study individuals with rare diseases; to describe and compare their characteristics; and to explore research with the data. These methods included subjects with diagnosis codes for one of three rare diseases from the years 2009-2014; Spina Bifida, Muscular Dystrophy, and Fragile X Syndrome. The results from the combined data provides additional information that each dataset, by itself, would not contain. The simultaneous examination of data such as race/ethnicity, physician and other outpatient visit data, charges and payments, and overall utilization was possible in the combined dataset. It is also discussed that combining such datasets can be a useful tool for the study of populations with rare diseases.
Research Perspectives on Functional Micro and Nano Scale Coatings
Authors: Taborda Jaime Andrés Pérez , López Elvis O.
Published: November 2019

Research topics related to the production of nanocomposites are the most important directions of development of new semiconductor engineering, ensuring high nanocomposites obtaining useful properties in the scope of biophysical characteristics, biomedical and piezoelectric applications. We present two case studies as Hydroxyapatite are in medical applications and aluminum nitride as acoustic wave sensor. Hydroxyapatite, is the main inorganic structure of the tooth enamel and bone and is a biomaterial that is commonly used in biomedical applications that involve bone substitution, drug delivery and bone regeneration because of its excellent biocompatibility, high bioactivity and good osseoconductivity. Since the past decade. Aluminum nitride (AlN), an electrical insulating ceramic with a wide band gap of 6.3 eV, is a potentially useful dielectric material very important in fields such as optoelectronic and micro electronics.
Extraction of Protein Sequence Motif Information using Bio-Inspired Computing
Authors: Rajasekaran Gowri , Rathipriya R
Published: November 2019

Nowadays there are many people affected by the genetic disorder, hereditary diseases, etc. The protein complexes and their functions are detected, in order to find the irregularity in the gene expression. In a group of related proteins, there exist some conserved sequence patterns (motifs) either functionally or structurally similar. The main objective of this work is to find the motif information from the given protein sequence dataset. The functionalities of the proteins are ideally found from their motif information. Clustering approach is a main data mining technique. Besides the clustering approach, the biclustering is also used in many Bioinformatics related research works. The PSO K-Means clustering and biclustering approach is proposed in this work to extract the motif information. The Motif is extracted based on the structure homogeneity of the protein sequence. In this work, the clusters and biclusters are compared based on homogeneity and motif information extracted. This study shows that biclustering approach yields better result than the clustering approach.