bluuebunny/crossref_metadata_2025_split huggingface dataset:
Redox status in benign prostatic hyperplasia and non-metastatic prostate cancer in the Algerian population
Authors: Mouhoub Rima , Haddad Karima , Goumeri Sarah , Chibane Abdel-Aziz , Oucherif Raouf , Djerdjouri Bahia , Khelil Malika 
Published: December 2017

Background: Depletion of cellular antioxidants can result from free radical formation due to normal endogenous reactions and the ingestion of exogenous substances and environmental factors. The levels of reactive oxygen species (ROS) have been shown to be significantly altered in malignant cells and in primary cancer tissues. We undertook the present study to investigate the possible alteration of oxidant/antioxidant status in Algerian patients with benign prostatic hyperplasia (BPH) and prostate cancer (PCa).
Methods: In total, 89 subjects made up of 26 patients with non-metastatic prostate cancer, 31 with benign prostatic hyperplasia (BPH), and 32 controls participated in this study. The concentrations of plasmatic malondialdehyde (MDA), erythrocytes catalase activity (CAT), and the plasma glutathione levels (GSH) were estimated using standard procedures.
Results: The results showed that MDA concentrations were significantly increased while erythrocyte catalase activity was significantly decreased in the prostate cancer group versus controls (P < 0.01) and BPH group (P < 0.05). GSH levels were lowered in prostate cancer patients versus control group with no significant changes.
Conclusions: Our results suggest that an alteration in the lipid peroxidation index with concomitant changes in the antioxidant defense system in prostate cancer patients compared with controls. We hypothesize that an altered pro-oxidantâ€“antioxidant balance may lead to an increase in oxidative damage and consequently may play an important role in prostate carcinogenesis.
Detection of Lung Cancer using Multilayer Perceptron Neural Network
Authors: Mirzakhani Farzad 
Published: December 2017

Introduction: Lung cancer is the most common cancer in terms of prevalence and mortality. The cancer can be detected once it is reached to a stage that is visible in the CT imaging. Eighty six percent of the patients with lung cancer because they are late understand their disease, surgery has little effect on their improvement. Therefore, the existence of an intelligent system that can detect lung cancer in the early stages is necessary.
Methods: In this study, a lung cancer dataset of UCI database was used. This dataset consists of 32 samples, 57 variables and 3 classes (each class including 10, 9 and 13 samples). The data were normalized within the range 0 to 1. Then, to increase the detection speed, the dimensions of the data were reduced by using the Principal Components Analysis (PCA). Then, using a multilayer perceptron neural network, a model for classification and prediction of lung cancer was developed. Finally, the performance of the model was measured using sensitivity, specificity, positive predictive value and negative predictive value. It should be noted that all analyzes were done using Weka software.
Results: After developing and evaluating an artificial neural network model, the developed model had a sensitivity of 66.7%, a 98.5% specificity, a positive predictive value of 75%, and a negative predictive value of 97.7%.
Conclusion: In intelligent diagnostic systems, in addition to high accuracy of diagnosis, the speed of diagnosis and decision making is also important. Therefore, researchers increased the speed of the prediction model by reducing 57 variables to 8 variables using PCA. Also, the high sensitivity and high specificity of developed model demonstrates high power of artificial neural network model in detecting lung cancer.
Impact of information technology in increasing quality of data in disease registries
Authors: Mirzakhani Farzad , Rahmatinejad Zahra 
Published: December 2017

Introduction: The Disease Registry records and maintains the necessary data for each individual patient according to the purpose for which it was designed. These data are widely used to calculate statistical indicators, resource management, resource allocation, and clinical research. One of the main challenges in using disease registries is their low quality data. Incompleteness, inaccuracy and untimeliness are some of the problems with the quality of the data in the disease registries. In this study, the researchers reviewed the views of some medical specialists on ways to improve the quality of data in the diseases registries. In this study, researchers looked at the views of some medical specialist who were in charge of maintaining a disease registry on ways to improve the quality of data in disease registries.
Methods: The qualitative method of in-depth interviews was used to explore the views of medical specialist. They were specialist doctors who were responsible for keeping a disease registry in their specialty. All interviews were conducted by one of the researchers. All interviews were conducted by one of the researchers and the interviews were digitally recorded during the interview. After the interview, the sounds recorded by the researcher were written in the form of text and the themes discussed in them were coded and analyzed. Eventually the coding was reviewed by another researcher, and the opposing opinions of the researchers were resolved through the discussion.
Results: The number of medical specialists interviewed was 6, which all of them was internist. The minimum and maximum interview time was 15 and 35 minutes respectively. The most important solutions to improve the quality of data in the diseases registries are: utilization of software systems (suggested by all doctors), utilization of coded data like icd-10 code (suggested by 5 doctors) and connecting disease registries to hospital information systems and other health information system (suggested by 3 doctors).
Conclusion: According to the views of the medical specialists who participated in present study, the use of IT-based methods as well as information management methods is the best way to improve the quality of data in the registry.
Diagnosis of diseases using data mining
Authors: Gozali Elahe , Rahimi Bahlol , Sadeghi Malihe , Safdari Reza 
Published: December 2017

Introduction: In the information age, data are the most important asset for health organizations. In the case of using data in useful and optimal manner, they can become financial resources for organization. Data mining is an appropriate method to transform this potential value into strategic information. Data mining means extraction of hidden information, recognition of hidden relationships and patterns, and in general, discovery of useful knowledge at high volume. The objective of this review paper was to evaluate using data mining in diagnoses of diseases.
Methods: This research is a review paper conducted based on a structured review of the papers published in Science Direct, Pubmed, Google Scholar, SID, Magiran (between years 2005 and 2015) and books related to using data mining in medical science and using it in diagnose of diseases with related keywords.
Results: Nowadays, data mining is used in many medical science studies, including diagnosis of diseases, discovering the hidden patterns in data, and so on. New ideas such as discovery of Knowledge from Discovery and Data Mining Database, which includes data mining techniques, have found more popularity and they has becomedesired research tool for researchers. Researchers can use them to identify patterns and relationshipsamong great number of variables. Using them, researchers have been able to predict theresults obtained from one disease by using information stores available in databases.
Several studies have indicated that data mining is used widely in diagnosis of diseases based on types of information (medical images, characteristics of patients, and so on), such as tuberculosis, types of cancers, infectious diseases, and diagnosis of anomalies rarely diagnosed by human (spots and particular points within aye, which is the symptom of onset of blindness resulting from diabetes), determining type of behavior with patients, and predicting the success rate of surgical surgeries, determining the success rate of therapeutic methods in coping with incurable diseases, and so on.
Conclusion: One of the most important challenging topics in healthcare is transformation of raw clinical data into meaningful information following continuous generation of great number of data. In current competitive environment, health organizations using technologies such as data mining to improve healthcare quality will achieve success faster. Many of research centers in Iran are faced with large volume of information, which is not analyzed at all or will be time-consuming due to using traditional methods, even in the case of using analysis and converting them to knowledge. In light of using data mining and its implementation, health organizations can transform the data into a powerful and competitive tool and take new steps in preventing, diagnosing, treating, and providing high-quality services for clients.
The effect of socioeconomic status on ambulance requests
Authors: Dadashi Ali , Eslami Saeed , Kalani Mohamad Reza 
Published: December 2017

Introduction:
Emergency medical events are not randomly distributed over a certain area. Many hidden patterns may influence this distribution due to several socioeconomic, demographic, and geospatial factors. Identifying these patterns will help health policy makers have a better planning for emergency medical services (EMS) in finding high-risk places, and people at high risk.
Methods:
Mashhad city EMS calls records have been analyzed retrospectively. The privacy of the data was considered by eliminating the identification information such as the name or phone number of the patients. To recognize the location of the requests all the recorded addresses were mapped into a single number representing the municipality region of the address. To express the relationship between the predictors, correlation coefficient has been employed.

Results:
154528 calls in a citywide registry from March 21, 2013, to March 20, 2014, were investigated. The average of age was 42.43 years (S.D = 21.7) with 50.5% male, 40.7% female and 8.8% of the sex were not registered. 64% of the calls were medical related and the remaining 36% were trauma-related requests. Aside from traffic accident that was the top most in all regions, other top five reasons for ambulance request including weakness, seizure, unconsciousness, nervous stress, and dyspnea were recognized. Although the regions with lower socioeconomic status are more vulnerable, they request ambulances less frequently than the regions with higher socioeconomic status.
Conclusion:
There is a relationship between the socioeconomic status of people and their calls to EMS. The results of this study can help policymakers in finding people in potentially high-risk locations and provide facilities to reduce mortality and morbidity.
INVESTIGATING THE REMOTE MONITORING USAGE FOR HOME HEALTH CARE
Authors: Tabari Parinaz , Montaseri Najme 
Published: December 2017

Introduction: Managing and monitoring some diseases and disorders are costly and complicated for patients, their families and healthcare systems. Furthermore, many of the pharmaceutical facilities, equipment and disease management programs are not available to all people in the community. Therefore the use of wireless technologies along with the telephone-based transmission systems, can collect the patients’ health status data and share with related providers. Remote monitoring defines a management approach using communication technology to track patients’ health.
Methods: In this study, we searched recent articles indexed in PubMed, Science Direct, Ovid, Web of Science and Google Scholar to investigate articles which aimed to explore the use of remote patient monitoring systems in different clinical status and to review the advantages and disadvantages of these systems.
Results: People with chronic diseases such as heart disease have complicated care needs. If these people would not be exposed to proper interventions, this situation may lead to multiple referral to the emergency departments and even rehospitalization. Home care by using clear communication protocols, can have a significant impact on improving the quality of care and safety of patients after discharging from the hospital. In such chronic diseases, remote monitoring fascilities and interventions along with education can reduce the use of healthcare resources and the need for early re-admission. Remote monitoring can also support people with disturbances of consciousness. In the field of drug prescription, this technology can also offer recommendations for regulation and alteration of last prescribed drugs in addition to suggestions on patient behavioural changes by care providers and predefined algorithms. This technological method can also be used to monitor side effects of some medications such as antihypertensive drugs.
Conclusion: Monitoring patients remotely, is most commonly used in heart diseases, pulmonary diseases, diabetes and blood pressure diseases. Studies have also been conducted in areas such as serving the elderly and drug counseling. Although there are contradictions about the impact and effectiveness of this approach on some diseases, for patients who are hospitalized frequently, a daily program for monitoring them remotely can have an impact on optimizing health care resource utilization and reduce the number of admissions and length of stay in the hospital and ultimately improve the quality of life of the individual.
A PERCEPÇÃO DE CONSUMIDORES DE FRANQUIAS VIRTUAIS EM UMA EMPRESA DE COSMÉTICOS BRASILEIRA
Authors: Ebert Paula Narita Pereira , Froemming Lurdes Marlene Seide 
Published: December 2017

Um dos grandes desafios do varejo é compreender o comportamento dos consumidores em um mercado em constante evolução e desenvolver estratégias e vantagens competitivas nos canais de distribuição. Este estudo tem como objetivo descrever o desenvolvimento da franquia virtual como um novo canal de distribuição no varejo, desvelando as tendências desse setor através das percepções dos clientes de Franquias virtuais. O estudo fundamentou-se em uma pesquisa de abordagem qualitativa, exploratória e descritiva, constitui-se em um estudo de caso e utilizou-se da pesquisa netnográfica, realizada com consumidores virtuais. A pesquisa revelou, como principais resultados para a empresa, a obtenção de um banco de dados atualizado com informação sobre o perfil e hábitos de compras de seus clientes, a possibilidade em conquistar clientes que não tinham afinidade com vendas presenciais e o engajamento de propagação virtual, além de aumentar sua participação mercadológica. O estudo apresenta contribuições acadêmicas, sociais e mercadológicas. One of the great challenges of retailing is to understand the behavior of consumers in a constantly evolving market, and to develop strategies and competitive advantages in distribution channels. This study aims to describe the development of a virtual franchise as a new retail distribution channel, unveiling the trends of this sector through the perceptions of virtual franchise customers. The study was based on a qualitative, exploratory and descriptive research, constituting a case study and using the netnographic research carried out with virtual consumers. The research revealed the main results for the company, obtaining an updated database with information about the profile and shopping habits of its customers, the possibility to win customers that had no affinity with face sales and the virtual propagation engagement, In addition to increasing its market share. The study presents academic, social and marketing contributions.
ENTRE COMPETÊNCIAS, EXPERIÊNCIAS E APRENDIZAGENS: arte e criatividade na atuação de um pesquisador em Administração. Entrevista ao Dr. Roberto Lima Ruas
Authors: Freitas Alessandra Demite Gonçalves de 
Published: December 2017

Nessa edição, a Revista Foco, por meio da Profa. Alessandra Demite Gonçalves de Freitas, traz uma entrevista com Roberto Lima Ruas, doutor em Economia - Université Jules Verne - Amiens - França (1987) e pós-doutor em Administração na École des Hautes Études Commerciales - Montreal, Canadá (1999-2000) e no centre d'Etudes et de Recherches Appliquées à la Gestion/ CERAG/UPMF - França (2009- 2010). Nessa entrevista, ele trata um pouco de temas de seu interesse e de sua trajetória como pesquisador.
PENINGKATAN PRODUKSI SEFALOSPORIN C DARI <i>Acremonium chrysogenum</i> CB2/11/1.10.6 DENGAN OPTIMASI MEDIA MENGGUNAKAN METODE RESPON PERMUKAAN
Authors: Prabandari Erwahyuni , Hidayati Dyah Noor , Dewi Diana , Islamiati Eni Dwi , Syamsu Khaswar 
Published: December 2017

Cephalosporin is a β-lactam antibiotic produced by Acremonium chrysogenum using submerged fermentation. Carbon and nitrogen are the most influential medium ingredients for cephalosporin formation. The purpose of this study was to obtain the best composition of media for cephalosporin C production. Response surface methodology was used for production optimization. The results showed that molasses of 70 g/Lwas the best carbon source, while the best nitrogen source was the combination of corn steep liquor, urea and ammonium sulphate. DL-methionine, carbon, and nitrogen source significantly affected the production of cephalosporin C. The mathematically modelled optimization showed that the highest production of cephalosporin C (3876 mg/L) was obtained using medium composition of 68.28 g/L molasses, 71.61 g/L nitrogen, and 0.4 g/L DL-methionine. Laboratory verification using the same medium composition produced 3696 mg/L of cephalosporin C, being 4.65% different from the mathematically optimized results. Medium optimization increased the cephalosprin C production which was 1.48 times higher than that using the previous medium, where the maximum production was only 2487 mg / L.Keywords: Carbon, cephalosporin C, cultivation medium, nitrogen, A. chrysogenum ABSTRAKSefalosporin C adalah golongan antibiotik β-lactam yang dihasilkan Acremonium chrysogenum melalui fermentasi cair. Komponen yang sangat berpengaruh terhadap produksi sefalosporin C adalah sumber karbon dan nitrogen. Penelitian ini bertujuan mendapatkan komposisi media terbaik untuk produksi sefalosporin C. Optimasi dilakukan menggunakan metode respon permukaan. Hasil menunjukkan bahwa molases 70 g/L adalah sumber karbon terbaik dan kombinasi corn steep liquor, urea dan ammonium sulfat adalah sumber nitrogen terbaik. DL-methionin, sumber karbon, dan nitrogen berpengaruh nyata terhadap produksi sefalosporin C. Optimasi menggunakan model matematika menunjukkan produksi sefalosporin C tertinggi (3876 mg/L) yang diperoleh dengan komposisi media 68,28 g/L molases, 71,61 g/L nitrogen, dan 0,4 g/L DL-methionin. Verfikasi di laboratorium menggunakan komposisi media yang sama menghasilkan sefalosporin C sebesar 3696 mg/L, berbeda 4,65% dibanding dengan hasil optimasi matematis. Optimasi media mampu meningkatkan produksi sefalosprin C sebesar 1,48 kali dibanding media yang digunakan sebelumnya, dimana maksimal hanya menghasilkan 2487 mg/L.Kata kunci: Karbon, sefalosporin C, media kultivasi, nitrogen, A. chrysogenum
PENGARUH KOMBINASI BAKTERI ASAM LAKTAT TERHADAP PERUBAHAN KARAKTERISTIK NUTRISI SUSU KERBAU
Authors: Sunaryanto Rofiq 
Published: December 2017

Effects of Lactic Acid Bacteria Combination on Characteristic Change of Buffalo Milk Nutrition Determination of physical and chemical characteristics on fermented milk using a mixture of Lactobacillus bulgaricus, Streptococcus thermophilus, and Bifidobacterium sp. has been conducted. Fermentation was carried out for 20 hours at 37ºC in a facultative aerobic condition. Physical characteristics were performed by comparing the physical properties before and after fermentation such as viscosity and texture, including chemical properties such as pH, acidity, protein, fat, and sugar contents. Inoculants of lactic acid bacteria were varied using a combination of lactic acid bacteria mixture. Results showed that the combination of bacteria inoculants used has no significant effect on changes in protein, fat, ash, and water contents. However, the effects on total acid, pH, sugar content, and physical appearance such as viscosity and texture were significant. The combination of L. bulgaricus, S. thermophilus and Bifidobacterium sp. (A6) produced a soft texture appearance and high viscosity. The combination of inoculant bacteria L. bulgaricus with S. thermophilus (A5) produced a texture similar to A6 but with a lower viscosity than A6.Keywords: Lactobacillus bulgaricus, Streptococcus thermophilus, Bifidobacterium sp, buffalo milk, fermentation. ABSTRAKPenelitian untuk mengetahui karakteristik fisik dan kimia hasil fermentasi susu kerbau menggunakan campuran Lactobacillus bulgaricus, Streptococcus thermophilus, dan Bifidobacterium sp telah dilakukan. Fermentasi dilakukan selama 20 jam pada suhu 37ºC secara aerobe fakultatif. Karakteristik fisika dilakukan dengan membandingkan sifat fisik seperti kekentalan dan tekstur, serta sifat kimia yang meliputi kandungan protein, lemak, gula, pH, keasaman sebelum dan sesudah fermentasi. Inokulan bakteri asam laktat divariasikan menggunakan kombinasi campuran bakteri asam laktat. Hasil penelitian menunjukkan bahwa kombinasi inokulan yang digunakan dalam proses fermentasi susu kerbau tidak berpengaruh nyata terhadap perubahan kadar protein, lemak, abu, dan air. Namun demikian berpengaruh nyata terhadap total asam, pH, kadar gula, dan penampakan fisik seperti kekentalan dan tekstur. Kombinasi inokulan L. bulgaricus, S. thermophilus dan Bifidobacterium sp. (A6) menghasilkan susu fermentasi dengan penampakan tekstur halus dan kekentalan yang lebih padat. Kombinasi bakteri L. bulgaricus dengan S. thermophilus (A5) menghasilkan tekstur yang mirip dengan A6, namun demikian menghasilkan kekentalan yang lebih rendah dibandingkan A6.Kata kunci: Lactobacillus bulgaricus, Streptococcus thermophilus, Bifidobacterium sp, susu kerbau, fermentasi