bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring Drug Use Process among Kurdish Migrant Workers in Workplaces: A Qualitative Study
Authors: Khazaee-Pool Maryam , Darabi Fatemeh , ponnet Koen , Abdolahi Hossein Mashhadi , Rohban Alireza , Pashaei Tahereh 
Published: November 2019

Abstract
Background: Drug addiction is a significant social, medical, and health problem. . Although employment has often a positive effect on people’s quality of life, there is evidence that inappropriate condition in the workplace may trigger for drug use in employees. The aim this study was to explore contributing factors to drug use among migrant workers.
Methods: In this qualitative study, Thirty-five subjects were recruited through purposive sampling. Data were collected by using a variety of qualitative techniques such as in-depth, semi-structured face-to-face interviews with open-ended questions and group discussion.
Results: Among the entire interviews, 529 initial codes and 283 main codes were extracted and classified into 18 categories and five themes after careful examination.
Conclusion: As the results showed, drug use is prevalent among workers. The most important recommendations to prevent drugs use in workplace are taking more serious measures against drug dealers, prohibiting carrying drugs at workplace, implementing stricter drug test before recruitment and periodical tests and considering worker rights is useful.
Keywords: Drug use, addiction, migrant worker, workplace, employee
Upregulation of long intergenic noncoding RNA LINC00092 indicates favorable survival in lung adenocarcinoma via tumor growth inhibition
Authors: Jiang Mingyan , Wang Ke , Zhao Ziwen , Li Yujun , He Hua , Wei Shuquan , Chen Quhai , Chen Mindong , Xie Jianjiang , Zhao Zhuxiang 
Published: November 2019

Abstract
Background Long intergenic noncoding RNA 00092 (LINC00092) is a recently identified novel RNA that acts on cancer-associated fibroblasts (CAFs) to drive the progression of ovarian cancer. Because CAFs also play a vital role in lung cancer, we hypothesized that LINC00092 is associated with lung cancer.Methods The expression level of LINC00092 was examined in 93 cases of non-small cell lung cancer (NSCLC) tumor tissues and adjacent normal lung tissues, and its clinical effect on prognosis was evaluated using the Kaplan-Meier method, log-rank test and Cox regression analysis based on The Cancer Genome Atlas (TCGA) data. The effect of LINC00092 on tumor growth was further assessed in vitro .Results LINC00092 was significantly downregulated in 76.3% (71/93) of lung cancer tissues compared to that in their normal counterparts ( P < 0.001), and high expression of LINC00092 led to a better prognosis with increased survival time (1632 days vs. 1171 days; P = 0.087) and decreased mortality (hazard rate, HR = 0.73, 95%CI = 0.51-1.05) than low expression in lung adenocarcinoma (LUAD) but not in lung squamous cell carcinoma (LSCC) patients. Additionally, upregulation of LINC00092 inhibited LUAD cell proliferation and tumorigenic ability in vitro .Conclusions LINC00092 is an indicator of favorable LUAD prognosis. Targeted molecular therapy directed at LINC00092 upregulation may be a valuable strategy to fight LUAD.
Association of type 2 diabetes mellitus and antidiabetic medication with risk of prostate cancer: a population-based case-control study.
Authors: Lin E , Garmo Hans , Hemelrijck Mieke Van , Adolfsson Jan , Stattin Pär , Zethelius Björn , Crawley Danielle 
Published: November 2019

Abstract
Background

Prostate cancer (PCa) and type 2 diabetes mellitus (T2DM) are prevalent conditions that often occur concomitantly. However, many aspects of the impact of T2DM, particularly the duration of T2DM and antidiabetic medications, on PCa risk are poorly understood.

Methods

To assess the association of duration of T2DM and antidiabetic medication with PCa risk, we designed a matched case-control study, including 31,415 men with PCa and 154,812 PCa-free men in Prostate Cancer data Base Sweden (PCBaSe) 4.1.

Results

Overall, a decreased risk of PCa was observed for men with T2DM (odds ratio (OR): 0.81, 95% confidence interval (CI): 0.78-0.84), as compared to men without T2DM. The decreased risk of PCa was consistently showed across duration of T2DM. With respect to use of antidiabetic drugs, this inverse association with duration was also found for all medications types, as compared to men without T2DM, including insulin, metformin and sulphonylurea (SU) (e.g. 3-<5yr insulin OR:0.69, 95%CI:0.60-0.80; 3-<5yr metformin OR: 0.82, 95%CI: 0.74-0.91; 3-<5yr SU OR: 0.72, 95%CI: 0.62-0.83). When stratifying by PCa risk categories, this decreased risk was most evident for diagnosis of low and intermediate-risk PCa (low-risk OR: 0.65, 95%CI: 0.66-0.70, intermediate-risk OR: 0.80, 95%CI: 0.75-0.85).

Conclusions

The study showed an inverse association between pre-existing T2DM and PCa across different durations of T2DM and all types of T2DM medication received. This inverse association was most evident for low- and intermediate-risk PCa, suggesting that whilst T2DM and its medication may protect some men from developing PCa, the relationship warrants further study.
SERT and BDNF polymorphisms interplay on neuroticism in borderline personality disorder
Authors: Salinas Valeria , Villarroel Juana , Silva Hernán , Herrera Luisa , Jerez Sonia , Zazueta Alejandra , Montes Cristian , Nieto Rodrigo , Bustamante M. Leonor 
Published: November 2019

Abstract
Objective: Genetic factors underlying different personality traits are not entirely understood, particularly how genes interact to modulate their effect. We studied 76 patients diagnosed with borderline personality disorder (BPD), characterized by extreme levels of personality traits, especially neuroticism (N), in which we genotyped two polymorphisms, the 5HTTLPR of the Serotonin transporter (SERT) gene, and the Val66Met of the Brain-derived neurotrophic factor (BDNF) gene. Results: We found an association with SERT, where S-allele carriers had significantly higher levels of N than L-homozygous. Furthermore, we found that the protective effect of L-homozygosity is only evident on A-allele carriers of the BDNF Val66Met polymorphism. Genetic constitution in SERT and BDNF seems to be important in neuroticism, the most relevant personality trait on BPD.
Population-Based analysis for newly diagnosed hepatocellular carcinoma with brain metastases
Authors: Feng Jincheng , Polychronidis Georgios , Heger Ulrike , Mehrabi Arianeb , Hoffmann Katrin 
Published: November 2019

Abstract
Background: There is little population-based data on hepatocellular carcinoma (HCC) with brain metastases at initial diagnosis published. This study aimed to estimate incidence of brain metastases in initial metastatic HCC and its impact on prognosis.
Methods: Newly diagnosed HCC cases from 2010 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were screened for the presence of brain metastases. Data were stratified by age and ethnicity. Multivariable logistic and Cox regression were used to identify factors associated with brain metastases and factors associated with overall survival (OS) and cancer-specific survival (CSS), respectively. Kaplan-Meier method and log-rank test were used for survival analysis.
Results : 141 cases presenting with brain metastases were identified, accounting for 0.35% of all HCC cases and 2.37% of cases with metastatic HCC disease. The incidence rate was highest among cases with age 50-59 (2.74%), respectively. Ethnicity was not associated with the presence of brain metastases at the time of HCC diagnosis. However, African American patients presented significantly lower disease-specific survival (median time: 1month; interquartile range (IQR):0-3.0 months). Initial lung or bone metastasis was independently associated with an increased risk of the presence of brain metastases (odds ratio (OR) 12.62, 95%CI 8.40-18.97), but not associated with worse OS and CSS among brain metastases cases.
Conclusions: The study shows population-based incidence and survival of brain metastases at diagnosis of HCC. Brain metastases are most prevalent in initial metastatic HCC patients with lung or bone metastasis. The results may contribute to consider screening of the brain among HCC with initial lung or bone metastasis.
Developing English Supplementary Materials through Instructional Conversations
Authors: Nurhidayat Eka , Rofi'i Agus 
Published: November 2019

This study aimed to develop English supplementary materials to meet the needs of nursing students on English learning through Instructional Conversation (IC) method. This research was categorized into research and development. The materials were validated by two experts to come to the final product. This research conducted at the Nursing Study Program involving students of the second semester. The data collected from classroom and checklist observation, questionnaire, an interview. Considering the data collected, the English textbooks available and used in the Nursing Study Program contains English language learning materials that are still common and less specific for students used in the nursing study program. Therefore, English supplementary materials through Instructional Conversation (IC) method should be developed by considering the needs of lecturers and students. English supplementary materials through the Instructional Conversation method were developed by considering several aspects.
Sizing rainwater harvesting systems for animal watering in semi-arid regions
Authors: Giffoni V. V. , Gadéa A. S. M. , Cohim E. , Freitas J. J. , Araujo J. F. 
Published: November 2019

AbstractBrazilian semi-arid productive techniques use rainwater harvesting systems, which are a sustainable water management practice with a low environmental impact that have been adopted as an alternative to meet water demand worldwide. The aim of this study was to find an optimal sizing methodology for rainwater harvesting systems using local parameters allied to the lowest system cost. The analyses were based on a system supplying 95% of a 250 L/d demand for a goat herd in Feira de Santana, Bahia, Brazil. The area available for system implementation did not limit the analysis. The only limiting parameters were the quantity and quality of water required for the herd. The results indicated that, among the combinations of catchment area and water tank volume capable of meeting the defined demand, there is an optimal set, with minimum cost. This was a catchment covering 220 m² with a 21.1 m³ water tank, equivalent to a 0.62 demand fraction (FD). The variance influence of meeting service efficiency and demand, in the system's implementation and performance, was also analyzed.
Effect of substrate type and concentration on the performance of a double chamber microbial fuel cell
Authors: Ullah Zia , Zeshan Sheikh 
Published: November 2019

Abstract
The microbial fuel cell (MFC) provides new opportunities for energy generation and wastewater treatment through conversion of organic matter into electricity by electrogenic bacteria. This study investigates the effect of different types and concentrations of substrates on the performance of a double chamber microbial fuel cell (DCMFC). Three mediator-less laboratory-scale DCMFCs were used in this study, which were equipped with graphite electrode and cation exchange membrane. The MFCs were fed with three different types of substrates (glucose, acetate and sucrose) at a chemical oxygen demand (COD) concentration of 1,000 mg/L. The selected substrate (acetate) was studied for three different concentrations of 500, 2,000 and 3,000 mg/L of COD. Results demonstrated that acetate was the best substrate among the three different substrates with maximum power density and COD removal of 91 mW/m2 and 77%, respectively. Concentration of 2,000 mg/L was the best concentration in terms of performance with maximum power density and COD removal of 114 mW/m2 and 79%, respectively. The polarization curve shows that ohmic losses were dominant in DCMFCs established for all three substrates and concentrations.
Progress and Prospects in Translating Nanobiotechnology in Medical Theranostics
Authors: Batool Amna , Menaa Farid , Uzair Bushra , Khan Barkat Ali , Menaa Bouzid 
Published: November 2019

:The pace at which nanotheranostic technology for human disease is evolving has accelerated exponentially over the past five years. Nanotechnology is committed to utilizing the intrinsic properties of materials and structures at submicroscopic-scale measures. Indeed, there is generally a profound influence of reducing physical dimensions of particulates and devices on their physico-chemical characteristics, biological properties, and performance. The exploration of nature’s components to work effectively as nanoscaffolds or nanodevices represents a tremendous and growing interest in medicine for various applications (e.g., biosensing, tunable control and targeted drug release, tissue engineering). Several nanotheranostic approaches (i.e., diagnostic plus therapeutic using nanoscale) conferring unique features are constantly progressing and overcoming all the limitations of conventional medicines including specificity, efficacy, solubility, sensitivity, biodegradability, biocompatibility, stability, interactions at subcellular levels.:This review introduces two major aspects of nanotechnology as an innovative and challenging theranostic strategy or solution: (i) the most intriguing (bare and functionalized) nanomaterials with their respective advantages and drawbacks; (ii) the current and promising multifunctional “smart” nanodevices.
Extension of Modified Joint Uplink and Downlink Scheduling Algorithm for LTE-A in Femtocell Networks
Authors: Gatti Ravi , Shankar Shiva 
Published: November 2019

Aim:
The 5G LTE-Advanced (LTE-A) intended to provide increased peak data rates
for the mobile users with the use of Carrier Aggregation (CA) technology. Due to need of uninterrupted
bi-directional communication between the eNodeB and User Equipment (UE) in LTEA,
Joint Scheduling Algorithm is considered as central research topic.

Objective:
A modified joint Uplink/ Downlink (UL/DL) Scheduling algorithm to meet on demands
service request from the UEs is proposed in this paper.

Methods:
CA is used for calculate the weight factors for the bandwidth allocation among the mobile
users based on the QoS Class Identifier (QCI). However due the huge amount of data flow in
the indoor coverage yield introduction of the small cell called femtocells. Femtocells are randomly
deployed in macro cell area in order to improve indoor coverage as well capacity enhancement.

Result:
Mixed types of traffic are considered ranging from real time to non real time flows and
quality of service is evaluated in term of throughput, packet loss ratio, fairness index and spectral
efficiency. The proposed modified joint user scheduling algorithm results better in delay among
the end users due the reduction in the traffic load of the macro cell base station.

Conclusion:
Simulation results shows that, the proposed methodology suits best for the small
scale network architecture with increased spectral efficiency and throughput among the UEs.
Distributed Content-Based Image Retrieval of Satellite Images on Hadoop
Authors: Sharma Tapan , Shokeen Vinod , Mathur Sunil 
Published: November 2019

Background:
Owing to increased growth in satellite imagery, the development of an architecture that rapidly and efficiently identifies similar images has become crucial. Hadoop has become a de-facto platform for storing large amounts of data. Apache Spark and MapReduce have also become key frameworks for distributed processing of big data.

Objective:
This paper proposes a novel distributed content-based image retrieval (DCBIR) architecture that leverages the qualities of these engines, which were not utilized in previous studies.

Methods:
Features of 40 satellite images with sizes greater than 500 MB were indexed, on a 15-node Hadoop cluster with two different databases viz. Neo4J, a graph database, and HBase, a columnar database.

Results:
Performance and Scalability of both indexing and query phases, along with precision and recall were observed for both databases.

Conclusion:
Experimental results show that the proposed system can efficiently perform image retrieval on large remote sensing images.
Clima organizacional en una institución prestadora de salud de Montería - Córdoba, 2015
Authors: Espitia C Enalbis Esther , Cabrales H María Alejandra , Morón R Katia Milena 
Published: November 2019

Objective. To determine the organizational climate of a Health care Provider Institution (HPI) to establish some strategies to improve the work environment. Materials and Methods. This was a quantitative, descriptive, and cross-sectional study. The population consisted of all the Institution’s employees. A statistical formula was applied to choose the sample. This procedure allowed for the use of the data collection instrument with all the employees. A questionnaire for the survey established for the organizational climate based on the four pillars proposed by Health Pan-American Organization was used. Finally, once all the information was obtained through the survey, the tabulation was done through an Excel spreadsheet, tables and graphics were created, and data analysis completed according to the study variables. In line with Resolution08430,1993, the study was classified as risk-free. Also, the confidentiality and anonymity of both the research participants and the Institution were respected. Results. Levels of satisfaction higher than 80% were founding factors, such as communication, interpersonal relationships, and communicative values. Levels lower than 20% were found in factors, such as wellbeing, level of training as well as compensation and recognition. Conclusions. The diagnosis of the organizational climate revealed communication strengths, team work, cooperation, and leadership. Improvement opportunities in factors, such as promotion and raise were discovered as well.
Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review
Authors: Najm Aurélie , Gossec Laure , Weill Catherine , Benoist David , Berenbaum Francis , Nikiphorou Elena 
Published: November 2019

Background
Although the increasing availability of mobile health (mHealth) apps may enable people with rheumatic and musculoskeletal diseases (RMDs) to better self-manage their health, there is a general lack of evidence on ways to ensure appropriate development and evaluation of apps.

Objective
This study aimed to obtain an overview on existing mHealth apps for self-management in patients with RMDs, focusing on content and development methods.

Methods
A search was performed up to December 2017 across 5 databases. For each publication relevant to an app for RMDs, information on the disease, purpose, content, and development strategies was extracted and qualitatively assessed.

Results
Of 562 abstracts, 32 were included in the analysis. Of these 32 abstracts, 11 (34%) referred to an app linked to a connected device. Most of the apps targeted rheumatoid arthritis (11/32, 34%). The top three aspects addressed by the apps were pain (23/32, 71%), fatigue (15/32, 47%), and physical activity (15/32, 47%). The development process of the apps was described in 84% (27/32) of the articles and was of low to moderate quality in most of the cases. Despite most of the articles having been published within the past two years, only 5 apps were still commercially available at the time of our search. Moreover, only very few studies showed improvement of RMD outcome measures.

Conclusions
The development process of most apps was of low or moderate quality in many studies. Owing to the increasing RMD patients’ willingness to use mHealth apps for self-management, optimal standards and quality assurance of new apps are mandatory.
Developing an Evidence-Based Nursing Handover Standard for a Multi-Site Public Hospital in Switzerland: Protocol for a Web-Based, Modified Delphi Study
Authors: Tacchini-Jacquier Nadine , de Waele Els , Urben Peter , Turini Pierre , Verloo Henk 
Published: November 2019

Background
Poor communication processes create opportunities for errors when caregivers fail to transfer complete and consistent information. Inadequate or nonexistent clinical handovers or failures to transfer information, responsibility, and accountability can have dire consequences for hospitalized patients. Clinical handover is practiced every day, in a multitude of ways, in all health care settings.

Objective
The goal of this study is to build a consensus, evidence-based nursing handover standard for inpatients during shift changes or internal transfers between hospital wards. The study will be based on papers published by Slade et al.

Methods
This protocol describes a modified Delphi data-collection survey involving a targeted panel sample of 300 nurse experts. A multi-round survey will select an anonymous panel from a multi-site public hospital in Switzerland. Each survey stage will be described and will build on the previous one. The study will end with a focus group discussion involving a randomly selected panel to explain why items for the evidence-based clinical nursing handover standard were accepted or not accepted. An item must achieve a consensus of ≥70% for inclusion.

Results
The present study’s expected outcome is a consensus-built, evidence-based nursing handover standard for inpatients during shift changes or internal transfers between the wards of a multi-site public hospital in Switzerland.

Conclusions
This survey will enable us to develop an evidence-based nursing handover standard for use during shift changes and internal inpatient transfers in a multi-site public hospital in Switzerland.

International Registered Report Identifier (IRRID)
DERR1-10.2196/15910
Automatic system for localization and recognition of vehicle plate numbers
Authors: Vázquez N. , Nakano M. , Pérez-Meana H. 
Published: November 2019

This paper proposes a vehicle numbers plate identification system, which extracts the characters features of a plate from a captured image by a digital camera. Then identify the symbols of the number plate using a multilayer neural network. The proposed recognition system consists of two processes: The training processÂ and the recognition process. During the training process, a database is created using 310 vehicular plate images. Then using this database a multilayer neural network is trained to identify the symbols in the vehicles plate. While the recognition process consists of four stages: The number plate localization stage, the binarization stage, the segmentation stage and theÂ ecognition stage which uses the previously trained multilayer neural network. The performance of proposed system is evaluated using more than 1200 symbols from the 310 captured images. The simulation results show that approximately 91.5% of the 310 plate images in the vehicle have been correctly located. The proposed system performance, regarding the identification of numbers and letters in the plate, was evaluated separately. Here the recognition rate is 95.55% and 91.6%, respectively. So the global recognition rate of the vehicle number plate becomes approximately 91.2%. Then from the simulation results it follows that the proposed system works fairly well and then it may be applied in the solution of several practical problems that require automatic number plate identification.