bluuebunny/crossref_metadata_2025 huggingface dataset:
GEM Centre: Completion report for Phase 2 funding, 2017–2020
Authors:   Australian Council for Educational Research
Published: September 2021

In 2014, the Australian Council for Educational Research (ACER) and the Australian Government’s Department of Foreign Affairs and Trade (DFAT) established a partnership under the Global Education Monitoring Centre. Since then, there have been two funding periods: Phase 1 from 2014–2017 and Phase 2 from 2017–2020. Phase 3 will cover 2020–2023. This report documents the completion of Phase 2 funding and describes the shared priorities of DFAT and ACER through the GEM Centre, followed by the objectives and key outcomes of the work program during this period. The outcomes and lessons learned, together with findings from the GEM Centre mid-term review (MTR) in 2019,1 are reflected against the impact and sustainability of the ACER–DFAT partnership. The MTR validated the overall success of the GEM Centre and identified areas for further development, specifically to improve the effectiveness of the partnership. This report concludes with a brief outlook on how these developments will be addressed under Phase 3 of the GEM Centre.
La Ingeniería de Organización ante el diseño de los nuevos títulos europeos
Authors: Marín García Juán Antonio , García-Sabater José Pedro , Canós-Darós Lourdes
Published: September 2021

Actualmente estamos asistiendo a un cambio en la organización del mapa de titulaciones en la Universidad española. Con esto se pretende alcanzar la convergencia entre los países europeos de forma que los títulos sean fácilmente comparables y se fomente la movilidad de los estudiantes y de los profesores. En este contexto, planteamos el debate sobre la titulación de Ingeniería de Organización y algunas propuestas para su definición, además de apor tar el perfil del titulado y la descripción de las competencias profesionales necesarias para su futura vida laboral.
Descripción detallada de las variables de decisión en modelos basados en Programación Matemática en un contexto de Planificación Colaborativa de una Red de Suministro/Distribución (RdS/D)
Authors: Pérez David , Lario Francisco Cruz , Alemany María del Mar
Published: September 2021

En este artículo se ha analizado de qué componentes constaría un Modelo determinista basado en Programación Matemática en un contexto de Planificación Colaborativa en Redes de Suministro/Distribución (RdS/D). Aunque sólo se ha considerado la descripción detallada de las Variables de Decisión, la descripción completa de todos los componentes del Modelo ha permitido la definición de una Metodología que tiene como objetivo modelar analíticamente el Proceso de Planificación Colaborativa en cualquier RdS/D, pudiendo ser ésta de diferentes grados de complejidad, tanto desde el punto de vista Físico (Recursos/Ítems), como desde el punto de vista Organizacional-Decisional e Informacional.
Propuesta de Modelo de Gestión de Conocimiento para el sector energético. Aplicación empírica
Authors: Sáiz Lourdes , Manzanedo Miguel Ángel , Del Olmo Ricardo , Alcalde Roberto
Published: September 2021

El objetivo de este trabajo es diseñar y aplicar un modelo robusto de Gestión del Conocimiento para las empresas energéticas que permita identificar el conjunto de conocimientos y capacidades clave del sector, comprender y aplicar estos conocimientos, realizar el inventario de expertos, retener y capitalizar la experiencia y el saber hacer, compartir y transmitir el conocimiento entre el personal y detectar las necesidades de formación y actualización derivadas de las exigencias del trabajo. El «Modelo PAR de Gestión del Conocimiento» que resulta se basa en tres estrategias de conocimiento, con sus respectivos objetivos, acciones, recursos e indicadores.
Modelos de Integración de la Gestión de la Cadena de Suministro en el Sector de la Construcción
Authors: Carbonell Urueña J. Francisco
Published: September 2021

Actualmente el sector de la construcción está experimentando grandes cambios en todos los aspectos relacionados con su negocio. Ahora más que nunca, cuando la crisis mundial obliga a la utilización de sistemas de gestión más eficientes, se requieren de modelos integrales de gestión de las cadenas de suministro del sector de la construcción. Este artículo analiza modelos existentes de integración de la Cadena de Suministro y propone el Modelode Organización Global (GOM) caracterizado por la integración de las cadenas productivas de las empresas participantes en la cadena de suministro con el cliente como eje principal y vehículo integrador de todo el proceso.
Avaliação da prontidão estratégica do capital humano através de um modelo de priorização estratégica de gestão de competências: uma revisão de literatura
Authors: Pacheco Emerson Andrade , Rodríguez y Rodríguez Martius Vicente
Published: September 2021

Em períodos de crise, a necessidade de gerenciar estrategicamente as competências-chave para o negóciose torna premente para consolidar a vantagem competitiva das organizações. Priorizar processos, funções ecompetências críticas para o negócio na gestão de competências contribui para alinhar estrategicamente as competências individuais com as organizacionais e aumentar a prontidão estratégica do capital humano, favorecendo aexecução das estratégias corporativas. A partir de uma revisão da literatura sobre as teorias de estratégia e a gestão de competências, é proposto um modelo de gestão de competências cujos componentes priorizam a identificação, mapeamento e desenvolvimento de competências estratégicas da organização.
Sincronización de los ciclos de información y de gestión de infraestructuras de servicios hoteleros
Authors: Durán Alfonso , Natarajan Rajesh , Giraldo Esmeralda
Published: September 2021

En muchas organizaciones de servicios, incluyendo las hoteleras, hay un desajuste temporal entre el ciclo de generación de información sobre sus clientes y el ciclo de decisiones de gestión de infraestructuras. Aquí abordaremos la sincronización de estos ciclos, mediante la utilización eficaz de sistemas de información. Analizaremos la problemática que dificulta hacer un uso más efectivo de estos datos. Seguidamente, apoyándonos en el ciclo de vida de los clientes, propondremos una clasificación de los datos sobre clientes vinculados a decisiones del hotel, así como de las decisiones para las que se usan. Asimismo, analizaremos cómo priorizar las actividades de gestión de datos para maximizar su contribución a la calidad de las decisiones.
Modelo para la evaluación del rol estratégico actual de una planta y despliegue de un plan para su mejora. Estudio empírico dentro de una red global de operaciones
Authors: Mediavilla Miguel , Errasti Ander , Domingo Rosario
Published: September 2021

Una economía globalizada necesita respuestas eficientes para servir a mercados globales. Empresas de todos los tamaños tienen dificultades para gestionar sus complejas redes globales de operaciones; sin embargo, la bibliografía relacionada proporciona pocos modelos para diseñar/reestructurar estas redes. Tomando como base el modelo de Ferdows para el análisis del rol de planta dentro de redes globales de operaciones, el objetivo de este ar tículo es doble: 1) proporcionar un estudio empírico de la aplicación de dicho modelo, y 2) proponer un modelo sistemático y priorizado que eleve el rol estratégico de una planta dentro de su red de operaciones.
Mejora de un Sistema de Producción por Proyectos basada en la metodología GRAI: un estudio empírico
Authors: Errasti Opacua Ander , Martínez Miguélez Sandra , Poler Escoto Raúl , Arcelus Mikel
Published: September 2021

Este trabajo explora cómo la metodología GRAI puede ayudar al rediseño de los procesos logísticos operativos internos y externos, para la mejora del rendimiento de la cadena de suministro de un sistema de producción por proyectos. Para evaluar el método propuesto, se recoge la experimentación desarrollada en una cadena de suministro desde el punto de vista del fabricante principal y las conclusiones que se derivan de los resultados alcanzados.
PERBEDAAN KINERJA ENTREPRENEUR ANTARA PENGUSAHA LAKILAKI DAN PENGUSAHA PEREMPUAN
Authors: Nathania Jessica , Utami Christina Whidya , Febry Timotius
Published: September 2021

Entrepreneurship merupakan konsep di mana seseorang menciptakan dan mengatur sebuahbisnis untuk mendapatkan keuntungan dengan mengambil risiko di dunia korporasi. Istilahentrepreneurship pertama kali dikenalkan oleh Richard Cantillon pada 1775, diambil dari bahasaPerancis "entreprende" yang berarti "perantara". Berbicara mengenai entrepreneurship, tentu tidaklepas dari profesi entrepreneur atau pengusaha. Selama ini stereotype bekerja, dalam konteks iniberwirausaha, selalu hanya dikaitkan dengan laki-laki. Sementara perempuan lekat dengan citra iburumah tangga yang hanya mengurusi urusan rumah dan anak. Padahal, perempuan juga memiliki minatdalam berwirausaha. Tujuan penelitian ini adalah untuk menganalisis kinerja entrepreneurship antarapengusaha laki-laki dan perempuan dengan variabel bebas gender dan variabel terikat kinerjaentrepreneurship. Penelitian ini menggunakan pendekatan kuantitatif. Populasi penelitian adalahseluruh entrepreneur UMKM di Surabaya Barat dengan syarat berskala mikro dan kecil, serta telahmenjalankan bisnis minimal selama satu tahun. Sampel yang diambil sebanyak 100 orang, terdiri dari 50orang laki-laki dan 50 orang perempuan yang dipilih menggunakan teknik purposive random sampling.Alat pengumpulan data menggunakan kuesioner dan analisis data menggunakan metode tabulasi silangdengan bantuan SPSS 23. Hasil penelitian menyatakan bahwa tidak ada perbedaan kinerjaentrepreneurship antara pengusaha laki-laki dan perempuan.Kata kunci : Kinerja, Pengusaha, Entrepreneurship, Gender
PENGARUH IKLAN DAN WORD OF MOUTH TERHADAP BRAND AWARENESS TEALAB
Authors: Lauricia Tiffany
Published: September 2021

Brand Awareness Tealab masih belum dikenal oleh banyak orang. Untukmeningkatkan brand awareness, perusahaan melakukan pengiklanan pada Instagram ads danmelakukan kegiatan word of mouth yang diharapkan agar brand Tealab dapat semakinterkenal meskipun terjadi peningkatan pada penjualan. Tujuan dalam penelitian ini untukmengetahui apakah iklan dan word of mouth berpengaruh terhadap brand awareness Tealabdengan menggunakan metode kuantitatif. Populasi dalam penelitian ini adalah orang - orangyang pernah yang pernah membeli produk Tealab dan sampel pada penelitian inimenggunakan purposive sampling dengan kriteria yang ditentukan oleh peneliti yaitu (1)responden yang pernah yang pernah membeli produk Tealab (2) responden yang pernahmelihat iklan Tealab di Instagram ads (3) responden yang pernah merekomendasikan Tealabkepada orang lain dengan jumlah 100 responden. Metode pengumpulan data dengan caramembagikan kuesioner dan data dianalisis dengan menggunakan regresi linear berganda.Hasil penelitian ini menunjukkan bahwa iklan dan word of mouth berpengaruh secarasignifikan dan positif terhadap brand awareness.Kata kunci: Iklan, Word of Mouth, Brand Awareness
ANALISIS PREFERENSI KONSUMEN OH MY CRAB
Authors: Salonga Daniel Louis
Published: September 2021

Penelitian ini bertujuan untuk mengetahui kombinasi atribut yang menjadi preferensi konsumendalam membeli produk Oh My Crab. Penelitian ini menggunakan data non-parametrik dengan analisiskonjoin dengan metode pengumpulan data lewat kuisioner terhadap 100 orang konsumen Oh My Crab.Adapun atribut yang digunakan dalam penelitian ini adalah varian, harga, dan rasa. Hasil penelitianmenunjukkan bahwa faktor yang paling penting dan sangat menjadi pertimbangan konsumen dalammelakukan pembelian produk kepiting, rajungan, dan kepiting dan rajungan adalah rasa. Kombinasi paketkepiting yang menjadi preferensi konsumen adalah Kepiting 500 gram rasa Saos Inggris dengan harga Rp.75.000. Kombinasi paket rajungan yang menjadi preferensi konsumen adalah Rajungan 500 gram rasaGoreng Mentega dengan harga Rp. 55.000. Kombinasi paket kepiting dan rajungan yang menjadi preferensikonsumen adalah Kepiting dan Rajungan 500 gram rasa Saos Inggris dengan harga Rp. 65.000. Kombinasipaket keseluruhan yang menjadi kesukaan konsumen adalah Kepiting dan Rajungan 500 gram rasa SaosInggris dengan harga Rp. 65.000.Kata kunci: Preferensi konsumen, analisis konjoin, varian, harga, rasa
El modelo "social" de la discapacidad. Análisis y perspectivas desde la jurisprudencia. / The "social" model of disability. Analysis and perspectives from jurisprudence.
Authors: Avalos Eduardo
Published: September 2021

En el presente artículo se realiza un análisis sobre la evolución en los diversos contextos históricos y/o sociales de las personas con discapacidad. Para luego adentrarse en la normativa que tiene jerarquía constitucional en Argentina como la Convención sobre los Derechos de las Personas con Discapacidad,  igualmente se analizan casos jurisprudenciales de Comisión Interamericana como la Corte Interamericana de Derechos Humanos han intervenido en casos originados por la violación de derechos de las personas con discapacidad, y la justicia federal. Finalmente, se concluye con una relexión personal sobre la discapacidad como cuestión social, diferenciando el rol normativo, y judicial en Argentina.

Abstract

In this article an analysis is made of the evolution in the various historical and / or social contexts of people with disabilities. To later delve into the regulations that have constitutional hierarchy in Argentina such as the Convention on the Rights of Persons with Disabilities, jurisprudential cases of the Inter-American Commission are also analyzed, such as the Inter American Court of Human Rights that have intervened in cases originating from the violation of rights people with disabilities, and federal justice. Finally, it concludes with a personal relection on disability as a social issue, diferentiating the normative and judicial role in Argentina.
PATHOPHYSIOLOGICAL CORRELATIONS BETWEEN ANKYLOSING SPONDYLITIS AND PERIODONTAL DISEASE. THE IMPACT OF ANKYLOSING SPONDYLITIS THERAPY ON PERIODONTAL TISSUE
Authors:   Carol Davila University of Medicine and Pharmacy, Bucharest, Croitoru Alexandru G. ,   Faculty Of Dental Medicine, Department of Physiopathology and Immunology, Piperea-Sianu Dan ,   Carol Davila University of Medicine and Pharmacy, Bucharest,   Faculty of Dental Medicine, Department of Physiology, Mihai Carina ,   Carol Davila University of Medicine and Pharmacy, Bucharest,   Faculty of Medicine, Department of Internal Medicine and Rheumatology, Cantacuzino Hospital, Piperea-Sianu Alice ,   Titu Maiorescu University, Department of Analytic Chemistry, Ceau Adela Maria ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Badita Daniela ,   Carol Davila University of Medicine and Pharmacy, Bucharest,   Faculty of Dental Medicine, Department of Physiology, Arama Victoria ,   Carol Davila University of Medicine and Pharmacy, Bucharest,   Faculty of Medicine, Matei Bals National Institute of Infectious Diseases, Arama Stefan Sorin ,   Carol Davila University of Medicine and Pharmacy, Bucharest,   Faculty Of Dental Medicine, Department of Physiopathology and Immunology
Published: September 2021

Periodontal disease (PD) and ankylosing spondylitis (AS) are both chronic inflammatory conditions characterized by a destructive process in the deep marginal periodontal tissue and, respectively, in the joints and entheses. This article summarizes all current data regarding the association between PD and AS and assesses the impact of AS therapy on periodontal tissue.
HERPES VIRUS, HUMAN PAPILLOMA VIRUS AND POLYOMAVIRUS INFECTION IN PATIENTS UNDERGOING BIOLOGICAL THERAPY
Authors:   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania, Popescu Ramona Stefania ,   Prof. Dr. Matei Bals National Institute for Infectious Diseases, Bucharest, Romania, Sandulescu Oana ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania,   Prof. Dr. Matei Bals National Institute for Infectious Diseases, Bucharest, Romania, Balanescu Andra ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania,   Internal Medicine and Rheumatology Clinic, Sf. Maria Hospital, Bucharest, Romania, Radulescu Mihaela ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania,   Prof. Dr. Matei Bals National Institute for Infectious Diseases, Bucharest, Romania, Ionescu Ruxandra ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania,   Internal Medicine and Rheumatology Clinic, Sf. Maria Hospital, Bucharest, Romania, Streinu-Cercel Adrian ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania,   Prof. Dr. Matei Bals National Institute for Infectious Diseases, Bucharest, Romania
Published: September 2021

Biological therapy has redesigned the treatment of certain systemic inflammatory disorders, and it is currently employed in clinical practice by specialties such as rheumatology, dermatology, gastroenterology, neurology and oncology. A decade’s worth of data has classified biological therapy as safe and effective for the treatment of a large number of diseases. However, its associated risk of secondary infections remains a major issue, particularly when discussing long-term immunosuppressive treatment. Secondary viral infections can require delaying or discontinuing biological therapy, thus leading to a relapse or reactivation of the underlying disorder, and this can happen in patients with already limited therapeutic options. Thorough screening and timely diagnosis of viral reactivations are necessary in order to maximize the benefits and reduce the risks associated with biological therapy. Viruses frequently associated with such reactivations include hepatitis B and C viruses, cytomegalovirus, varicella-zoster virus, and Epstein-Barr virus. This review focuses on the risk of reactivation associated with biological therapy in patients with autoimmune diseases and underlying herpes virus, human papilloma virus and polyomavirus infections.
THE ROLE OF CONTRAST-ENHANCED ULTRASONOGRAPHY IN EARLY RHEUMATOID ARTHRITIS
Authors:   Rheumatology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania, Tamas Maria-Magdalena , Rednic Nicolae ,   4th Medical Department, Railway Hospital, Cluj-Napoca, Romania, Siao-Pin Simon ,   Rheumatology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania, Rednic Simona ,   Rheumatology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
Published: September 2021

The diagnosis of rheumatoid arthritis (RA) is, most often, challenging, due to the variety of clinical features and to the absence of gold standard tests for diagnosing this disease. Early diagnosis as well as the identification of poor prognostic markers will lead to an early, appropriate treatment that will prevent the evolution towards a severe disease, offering the chance for a complete remission. Ultrasonography (US), used as an extension of clinical examination, helps in the early classification of the disease. Power Doppler is important for quantification of synovial inflammation, both at diagnosis and during therapy monitoring, but has limits in detecting blood flow in small vessels. Ultrasound contrast-agents improve visualization of vascularity and allow a better characterization and quantification of synovial pannus inflammation. We aim to discuss the role of contrast-enhanced ultrasonography (CEUS) in the diagnosis and follow-up of early RA.
A NOVEL DECISION-MAKING FRAMEWORK BASED ON PROBABILISTIC LINGUISTIC TERM SET FOR SELECTING SUSTAINABLE SUPPLIER CONSIDERING SOCIAL CREDIT
Authors: Dong Yuanxiang , Zheng Xumei , Xu Zeshui , Chen Weijie , Shi Hongbo , Gong Ke
Published: September 2021

Sustainable supplier selection (SSS) has become an essential task for decision-makers in competitive environments. We construct a new decision-making framework for SSS. First, classical SSS usually includes fixed factors in environmental, social and economic dimensions. Differently, we adopt new social factors from credit perspective with corporate social credit system being promoted vigorously by the Chinese government. Next, we employ probabilistic linguistic term sets (PLTSs) to collect experts’ judgments about interactive influence between factors. Third, we combine PLTSs with Decision Making Trial and Evaluation Laboratory (DEMATEL) method to identify critical success factors (CSFs) for improving decision-making efficiency. And we also give definition to relative importance degree, standard relative importance degree, deviation of importance degree and influence degree to reflect the interactive influence between factors. To eliminate subjective influence, we combine entropy weighting approach and DEMATEL to compute weights. Fourthly, we redefine dominance degree and apply it into TODIM method for SSS. Finally, the proposed decision-making framework’s effectiveness is verified by using the case study of a new energy vehicle (NEV) company. Based on this, sensitivity analysis and comparison of methods are conducted. The results verify that the decision-making framework is valid and effective for SSS.
Remnant Black Hole Kicks and Implications for Hierarchical Mergers
Authors: Mahapatra Parthapratim , Gupta Anuradha , Favata Marc , Arun K. G. , Sathyaprakash B. S.
Published: September 2021

When binary black holes merge in dense star clusters, their remnants can pair up with other black holes in the cluster, forming heavier and heavier black holes in a process called hierarchical merger. The most important condition for hierarchical merger to occur is that remnants formed by mergers are retained by the host star cluster. Using the publicly available gravitational-wave event database, we infer the magnitudes of kick velocities imparted to the remnant black holes due to anisotropic emission of gravitational waves and use that to quantify the retention probability of each event as a function of the escape speed of the star cluster. Among the second gravitational-wave transient catalog (GWTC-2) events, GW190814 provides the tightest constraint on the kick magnitude with

V

kick

=

74

−
7

+
10

km s−1 at the 90% credible level. We find that star clusters with escape speeds of 200 km s−1 can retain about 50% of the events in the GWTC-2. Using the escape speed distributions of nuclear star clusters and globular clusters, we find that ∼17 (2) remnants of GWTC-2 may be retained by the host star cluster if all GWTC-2 events occurred in nuclear (globular) clusters. Our study demonstrates the importance of folding in kick velocity inferences in future studies of hierarchical mergers.
Effectiveness of Psychosocial Supportive Care Trial on Quality of Life among Breast Cancer Patients: An Interventional Study at the National Cancer Institute, Egypt
Authors: Ellawindi Mona  Ibrahim , Shoman Tarek Hamed , Taher Eman , Gohar Sherif , Shehata Samah
Published: September 2021

BACKGROUND: Breast cancer (BC) patients suffer from many psychosocial problems due to their health condition and treatment side effects so they are in great need for psychosocial supportive care.

AIM: The aim of the study was to provide a comprehensive psych-social supportive health-care model for BC patients a step toward improving their quality of life (QOL).

PATIENTS AND METHODS: Random assignment was done for 185 patients with primary operated BC to a control or an intervention group. The researcher offered five daily successive psychosocial supportive care sessions for the patients in the intervention group. All patients were followed up for coping ability, mood and QOL 8 weeks after the intervention.

RESULTS: The intervention had statistically significant effects on psychological distress, depression, problem focused, and active emotional coping domain, while had not any statistically significant effects on avoidant emotional coping domain.

CONCLUSION: Psychosocial supportive developed health-care model decreased psychological distress, depression, and improved QOL among patients with primary BC.
Factors Associated with the Behavior of Men who Have Sex with Men in the Prevention of Human Immunodeficiency Virus Transmission
Authors: Purwaningsih Purwaningsih , Adianti Talia Puspita , Wahyuni Sylvia Dwi , Arifin Hidayat
Published: September 2021

Background: The prevalence of HIV/AIDS transmission caused by the behavior of men who have sex with men (MSM) is still a concern. The purpose of this study was to determine the factors associated with MSM behavior in relation to the prevention of HIV transmission.
Methods: This study used a cross-sectional design. The total sample was 176 respondents determined using consecutive sampling technique. The variables consist of demographic data, knowledge, attitude, beliefs, the accessibility of the health facilities, health-related skills, peer support, health care provider support and the prevention behavior concerning HIV transmission. The data was obtained using a questionnaire and it was analyzed using Chi-square and ordinal logistic regression.
Results: From the sample of 176 MSM, the behavior of the prevention of HIV transmission was 43.75%, which is a moderate level. Through ordinal logistic regression, we found that knowledge [OR:1.171, CI: 0.414-1.929] and peer support [OR: 1.902, CI: 0.721, 3.082] are more likely to prevent HIV transmission.
Conclusion: Knowledge and peer support are known to be very important factors concerning the behavior engaged in the prevention of HIV transmission. Increasing the level of knowledge and increasing the youth networks in the form of groups as a form of support can be promoted by nurses, health workers, and the community in order to prevent HIV transmission.
The Influence of Collaborative Model between the Role of Husbands and Healthcare Workers on Mother’s Behavior in Giving Exclusive Breastfeeding
Authors: Stang Stang , Abdullah Tahir , Marwang Sumarni
Published: September 2021

BACKGROUND: Considering the importance of giving exclusive breast milk (ASI) for the growth and development of children, collaborative support between health workers and husbands is very important. Support from husbands allows mothers to carry out breastfeeding process easier, so that the mothers’ mental condition will be stable and not stressful, and they will not feel exhausted. As a result, the mothers can provide the best breast milk.

AIM: The aim of this study is to analyze the influence of a collaborative model on the role of husbands and health workers to improve mother’s behavior in giving exclusive breastfeeding.

METHODS: This research used a quasi-experimental design. The intervention group consisted of husbands of third-trimester pregnant women who came from the working area of the Mangkoso Community Health Center, while the control consisted of husband from the Padongko Community Health Center, each group consisted of 30 people. In the intervention group, the collaborative model between the roles of husbands and health workers was applied, while in the control group, the husbands only received Maternal and Child Handbook (KIA).

RESULT: The results showed that there were differences in knowledge about the role of husbands in supporting the exclusive breastfeeding between the intervention group and the control group with a value of p = 0.000. Knowledge of the husband’s role in supporting exclusive breastfeeding in the intervention group was very good, but it was bad in the control group. In the other hand, there was no differences in behavior of giving exclusive breast milk (ASI) between the intervention group and the control group with a value of p = 0.422.

CONCLUSION: However, if we compared the behavior of exclusive breastfeeding before and after the application of the model in the intervention group, the increase was found to be very significant, which was 57.5%, from 12.5% to 70%. While in the control group the increase was only 20.9%, from 35.8% to 56.7%.
Comparing the Effect of Facial Compression Bandage to That of Systemic Dexamethasone on Postsurgical Sequels after Extraction of Impacted Mandibular Third Molars: A Split-mouth Randomized Clinical Trial
Authors: Hamadi Ibraheem , Al-Khanati Nuraldeen Maher , Kara Beit Zafin
Published: September 2021

AIM: The present study aimed to compare the clinical efficiency of facial pressure bandage, to that of intramuscular injection of dexamethasone (8 mg) on postsurgical sequels (swelling, pain, and trismus) of extraction of impacted mandibular third molar. METHODS: The study implemented a randomized split-mouth design. Patients with symmetrical bilateral impacted molars were eligible for the present trial. Sides were randomly assigned to two groups: pressure bandage group and dexamethasone group. The evaluated postsurgical sequels were extraoral swelling, trismus, and pain after 48 h and 7 days. RESULTS: The study included 42 impacted third molars (n = 42) in 21 patients with a mean age of 23.4 years. Most participants were females (66.7%). The mean postoperative swelling rates after 48 h and 7 days in pressure bandage group were found to be comparable to those of dexamethasone group. No significant difference was found in the mean rates of postoperative trismus between study groups after 48 h and 7 days. Differences in mean pain level scores between the pressure bandage group and dexamethasone group were statistically insignificant after 48 h and 7 days. CONCLUSION: The study findings showed that the effect of the pressure bandage was comparable to dexamethasone effect on the postsurgical sequels after surgical extraction of impacted mandibular third molars.
Unrecognized Out of Hospital Cardiac Arrest Symptoms during Thailand’s Emergency Medical Services
Authors: Tangpaisarn Thanat , Srinopparatanakul Tachaya , Artpru Ratchanan , Kotruchin Praew , Ienghong Kamonwon , Apiratwarakul Korakot
Published: September 2021

BACKGROUND: To improve survival rate, the main focus of adult cardiac arrest management includes rapid recognition, prompt administration of cardiopulmonary resuscitation (CPR), defibrillation for shockable rhythms, post-return of spontaneous circulation (ROSC) care, and identification and treatment of underlying causes. This study aimed to identify the determinants of unrecognized cardiac arrest, and to study the recognition rate of out-of-hospital cardiac arrest (OHCA) by emergency medical services call handlers.
METHODS: We included OHCA patients who were transferred to hospital via Emergency Medical Services (EMS) of Srinagarind hospital, Khon Kaen, Thailand, from 1st January 2020 to 31st December 2020. The primary outcome was to identify symptoms that lead to an unrecognized cardiac arrest by the EMS call handlers. Secondary outcomes were to identify the recognition rate of OHCA by emergency medical services call handlers, and assess the outcome of CPR performed on OHCA patients.
RESULTS: There were a total of 58 patients in the present study, 26 patients (44.8%) and 32 patients (55.2%) belonged to the unrecognized and recognized cardiac arrest groups, respectively. The most common symptoms that led to unrecognized cardiac arrest were a state of unconsciousness (46.2%), major trauma (15.4%), and seizure-like activity (11.5%). The rate of ROSC was higher in the unrecognized cardiac arrest group (34.6% vs. 15.6%) but the rate of survival to hospital discharge was higher in the recognized cardiac arrest group (6.3% vs 0%).
CONCLUSIONS: Falling unconscious is the most common symptom of unrecognized OHCA cases seen by EMS in Thailand. Basic life support, especially an immediate assessment of a patient’s respiratory status should be taught in health programs in school or through public service channels.
Label Clustering for a Novel Problem Transformation in Multi-label Classification
Authors: Sellah Smail , Hilaire Vincent
Published: September 2021

Document classification is a large body of search, many approaches were proposed for single label and multi-label classification. We focus on the multi-label classification more precisely those methods that transformation multi-label classification into single label classification. In this paper, we propose a novel problem transformation that leverage label dependency. We used Reuters-21578 corpus that is among the most used for text categorization and classification research. Results show that our approach improves the document classification at least by 8% regarding one-vs-all classification.
User-Oriented Approach to Data Quality Evaluation
Authors: Nikiforova Anastasija , Bicevskis Janis , Bicevska Zane , Oditis Ivo
Published: September 2021

The paper proposes a new data object-driven approach to data quality evaluation. It consists of three main components: (1) a data object, (2) data quality requirements, and (3) data quality evaluation process. As data quality is of relative nature, the data object and quality requirements are (a) use-case dependent and (b) defined by the user in accordance with his needs. All three components of the presented data quality model are described using graphical Domain Specific Languages (DSLs). In accordance with Model-Driven Architecture (MDA), the data quality model is built in two steps: (1) creating a platform-independent model (PIM), and (2) converting the created PIM into a platform-specific model (PSM). The PIM comprises informal specifications of data quality. The PSM describes the implementation of a data quality model, thus making it executable, enabling data object scanning and detecting data quality defects and anomalies. The proposed approach was applied to open data sets, analysing their quality. At least 3 advantages were highlighted: (1) a graphical data quality model allows the definition of data quality by non-IT and non-data quality experts as the presented diagrams are easy to read, create and modify, (2) the data quality model allows an analysis of "third-party" data without deeper knowledge on how the data were accrued and processed, (3) the quality of the data can be described at least at two levels of abstraction - informally using natural language or formally by including executable artefacts such as SQL statements.
Authorship Studies and the Dark Side of Social Media Analytics
Authors: Juola Patrick
Published: September 2021

The computational analysis of documents to learn about their authorship (also known as authorship attribution and/or authorship profiling) is an increasingly important area of research and application of technology. This paper discusses the technology, focusing on its application to social media in a variety of disciplines. It includes a brief survey of the history as well as three tutorial case studies, and discusses several significant applications and societal benefits that authorship analysis has brought about. It further argues, though, that while the benefits of this technology have been great, it has created serious risks to society that have not been sufficiently considered, addressed, or mitigated.
Social Choice-based Explanations: An Approach to Enhancing Fairness and Consensus Aspects
Authors: Tran Thi Ngoc Trang , Atas Muesluem , Le Man , Samer Ralph , Stettinger Martin
Published: September 2021

Explanations are integrated into recommender systems to give users an insight into the recommendation generation process. Compared to single-user recommender systems, explanations in group recommender systems have further goals. Examples thereof are fairness, which helps to take into account as much as possible group members' preferences and consensus, which persuades group members to agree on a decision. In this paper, we proposed different types of explanations and found the most effective ones in terms of increasing the fairness perception, consensus perception and satisfaction of group members with regard to group recommendations. We conducted a user study to evaluate the proposed explanations. The results show that explanations which consider the preferences of all or the majority of group members achieve the best results in terms of the mentioned dimensions. Besides, we discovered positive correlations among these aspects. In the context of repeated decisions, group members' satisfaction from previous decisions are helpful to improve the fairness perception of users concerning group recommendations and speed up the group decision-making process. Furthermore, we found out that gender diversity does influence the perception of users regarding the mentioned dimensions of the explanations. Although the proposed explanations were analyzed in group decision scenarios for non-configurable (no-attribute) items, there exist potential possibilities to apply them to explanations for configurable items.
Enhancing Large Dam Safety Using IoT Technologies: A Case of a Smart Dam
Authors: Martać Rastko , Milivojević Nikola , Despotović-Zrakić Marijana , Bogdanović Zorica , Barać Dusan
Published: September 2021

This paper investigates how to transform a manual monitoring system into a smart environment using IoT technologies. Large dams are of huge importance as water reservoirs and potential energy sources primarily because of their use for electric energy generation. Monitoring and predicting dams' behavior are quite challenging. Due to a variety of limitations, environmental obstacles and dam system complexity, the application of RFID, Bluetooth, and IoT technologies has proven to be an adequate, affordable and reliable dam safety solution. This paper introduces a comprehensive model of dam safety management and monitoring based on pervasive technologies. The model described in this work has been applied within the large dam "Iron Gate 1", on the river Danube in the Republic of Serbia. The results show that the use of new technologies in the dam monitoring process can reduce human error and improve overall process.
IoT Heating Solution for Smart Home with Fuzzy Control
Authors: Apiecionek Łukasz , Czerniak Jacek , Ewald Dawid , Biedziak Mateusz
Published: September 2021

There is currently an era of Internet of Things in the computer systems, which consists in connecting all possible devices to the Internet in order to provide them with new functionalities and thus { to improve the user's life standard. One of such solutions could be Smart Home. The possibility of monitoring inner environment is required for such solutions. Such monitoring provides potential for e.g. better heating control. The authors of this paper propose some heating control method with Fuzzy Logic. The proposed method was tested in a special climate chamber. The authors provided conclusions at the end of the paper.
Utilizing Debugging Information of Applications in Memory Forensics
Authors: Al-Saleh Mohammed , Qawasmeh Ethar , Al-Sharif Ziad
Published: September 2021

The rapid development in the digital world has contributed to the dramatic increase in the number of cybercrimes. An application's volatile data that is kept in memory (RAM) could give clues on how a criminal has been using the application up to acquisition time. Unfortunately, application-level memory forensics has been conducted in an ad hoc manner because a forensic investigator has to come up with a new technique for a new application. This process has become problematic and exhausting. This paper proposes a general solution to investigate any application in memory. We heavily utilize applications' debugging information generated by compilers in our solution. Furthermore, we extend Volatility [Walters, 2007], an open-source memory forensic framework, by developing and integrating a plugin to investigate applications in memory. We design several experiments to evaluate the effectiveness of our plugin. Interestingly, our plugin can parse debugging information and extract variables' names and data types regardless of their scope and complexity. In addition, we experimented with a real world application and succeeded in collecting vital information out of it. By accurately computing the Virtual Addresses (VA) of variables along with their allocated memory sizes based on their types, we are able to extract their values out of memory. In addition, we trace call stacks as per threads to extract local variables' values. Finally, direct and indirect pointers are successfully dereferenced.
Influence of Virtual Reality on High School Students' Conceptions of Cells
Authors: Thompson Meredith , Wang Annie , Bilgin Cigdem , Anteneh Melat , Roy Dan , Tan Philip , Eberhart Rik , Klopfer Eric
Published: September 2021

Cells are central to the study of biology, yet many learners have difficulties understanding the abstract yet fundamental foundation of life. Research suggests that students' conceptions of cells are reinforced by current biology learning materials, which represent cells as two dimensional, highly ordered, and mostly empty. These models also inaccurately represent the number, location, and size of organelles. We examine the effect of an inquiry-based three-dimensional virtual reality (VR) game on high school students' mental models of cells. Students reported that the game was more interactive and engaging than traditional ways of learning about cells and attributed an improved understanding of cells to their game experience. Students' post drawings of cells depicted more types of organelles, increased density of organelles, and additional complexity than their pretest drawings, indicating a movement towards more accurate mental models of cells. However, students' scores did not improve on their factual knowledge about cells between the pretest and the post-game biology assessments. We discuss the implications of incorporating game-based approaches and new technologies such as VR into biology education.
Recent Progress in Automated Code Generation from GUI Images Using Machine Learning Techniques
Authors: Baulé Daniel , Wangenheim Christiane Gresse von , Wangenheim Aldo , Hauck Jean Carlo Rossa
Published: September 2021

The manual transformation of a user interface design into code is a costly and time-consuming process. A solution can be the automation of the generation of code based on sketches or GUI design images. Recently, Machine Learning approaches have shown promising results in detecting GUI elements for such automation. Thus, to provide an overview of existing approaches, we performed a systematic mapping study. As a result, we identified and compared 20 approaches, that demonstrate good performance results being considered useful. These results can be used by researchers and practitioners in order to improve the efficiency of the GUI design process as well as continue to evolve and improve approaches for its support.
Using the Scientific Method as a Metaphor to Understand Modeling
Authors: Rodríguez-Priego Emilio , García-Izquierdo Francisco , Rubio Ángel
Published: September 2021

Although modeling is used to address complex problems, it is difficult to study modeling itself with an easy to understand model. Many authors have proposed such a model of modeling, but a consensus on the meaning of the basic modeling concepts has yet to materialize. We claim that any proposal regarding the fundamentals of modeling should address several objectives, such as to focus on the concept of model and define what it is, how a model is created and how it relates to the entities it models or to explain the relationship between model and other basic concepts such as metamodel or (modeling-)language. In this paper, we present some of the most important elements of our proposal, named Scientific Method approach to Modeling (SMM). Our proposal uses the Scientific Method as a metaphor to explain the mechanisms of modeling, since it provides well-known mechanisms constantly utilized when developing or understanding models: validation, analysis, synthesis and analogy. Inspired by these mechanisms, our proposal addresses the notion of model by including several constructors that allow us to explain better several complex modeling mechanisms extensively discussed in the literature, such as the metamodel notion.
Weather Station IoT Educational Model Using Cloud Services
Authors: Molnár Ján , Kirešová Simona , Vince Tibor , Kováč Dobroslav , Jacko Patrik , Bereš Matej , Hrabovský Peter
Published: September 2021

IoT technology is gaining more and more popularity in practice, as it collects, processes, evaluates and stores important measured data. The IoT is used every day in the work, in the home or smart houses or in public areas. It realizes the connectivity between real world and digital world which means, that it converts physical quantities of the real world in the form of analog signals into digital numbers stored in clauds. It is essential that students gain practical experience in the design and implementation of the IoT systems during their studies. The article first describes IoT issues and communication protocols used in IoT generally are closer described. Then the design and implementation of an educational model of IoT system - Weather station with the ThingSpeak cloud support is described. The created IoT model interconnects microcontroller programming, sensors and measuring, cloud API interfaces, MATLAB scripts which are useful to analyses the stored data, Windows and Android application developing.
Multi-criteria evaluation and ranking of potential scenarios for the development of Russian two-component nuclear energy system with thermal and sodium-cooled fast reactors
Authors: Usanov Vladimir I. , Kvyatkovskiy Stepan A. , Andrianov Andrey A. , Kuptsov Ilya S.
Published: September 2021

The paper presents the results from a multi-criteria comparative evaluation of potential deployment scenarios for Russian nuclear power with thermal and sodium-cooled fast reactors in a closed nuclear fuel cycle (the so-called two-component nuclear energy system). The comparison and the ranking were performed taking into account the recommendations and using the IAEA/INPRO software tools for comparative evaluation of nuclear energy systems, including tools for sensitivity/uncertainty analysis with respect to weighting factors. Ten potential Russian nuclear power deployment scenarios with different shares of thermal and sodium-cooled fast reactors were considered, including options involving the use of MOX fuel in VVER reactors. Eight key indicators were used, estimated as of 2100 and structured into a three-level objectives tree. The comparative evaluation and the ranking were carried out based on the multi-attribute value theory. The model for assessing the key indicators was developed using the IAEA/INPRO MESSAGE-NES energy system planning software tool. The information base for the study was formed by publications of experts from JSC SSC RF-IPPE, NRC Kurchatov Institute and NRNU MEPhI. The presented results show that it is possible to enhance significantly the sustainability of the Russian nuclear energy system, when considering multiple performance indicators, through the intensive deployment of sodium-cooled fast reactors and the transition to a closed nuclear fuel cycle. Tasks have been outlined for the follow-up studies to make it possible to obtain more rigorous conclusions regarding the preferred options for the evolution of a two-component nuclear energy system.
Three new species, and new distributional data, of Haltichella (Hymenoptera, Chalcididae) from China
Authors: Wang Zi-Tong , Li Cheng-De
Published: September 2021

Five species of Haltichella (Hymenoptera, Chalcididae) from China are reviewed, including three new species, H. bimaculata Wang & Li, sp. nov., H. bomiana Wang & Li, sp. nov., H. strigata Wang & Li, sp. nov.Haltichella clavicornis (Ashmead) is newly recorded from China and H. nipponensis Habu is newly recorded from Heilongjiang, Shanxi, Shandong, Xizang, Guangdong and Yunnan Provinces in China. A key to the Chinese species of the Haltichella is provided.