bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Effective Communication Patterns in personnel of Tehran 15 Khordad Hospital
Authors: LAMOUKI Saeed HEDAYATI , KHAKVATI Maliheh , JAFARIAN Hanieh , HASANI Zahra , BABAEI Masoome 
Published: November 2018

Background: Relationships and how it is oriented towards organizational goals is one of the important issues for hospital managers. The purpose of the present study was to identify the patterns of communication between the staff of the 15 Khordad Hospital in Tehran.Methods: This study was a descriptive study. Using the Cochran formula, a sample population of 194 people was estimated that 98 nurses, 46 administrative staff, 27 service personnel and 23 physicians were selected by simple random sampling. The data collection tool was a demographic checklist and Robbins' Organizational Communication Inventory (1998). Data were analyzed using SPSS software version 22, one-way ANOVA and Tukey test.Results: 61.3% of the participants in the study reported their communication moderate and of 38/7 % the participants reported strong communication. One-way analysis of variance (ANOVA) showed that at the significance level of 0.05, the difference in mean score of organizational communication between different administrative, service, nursing and medical groups is significant.Discussion: Each occupational category uses a different communication pattern based on its situation in the hospital and the level of interaction with other occupational categories and more employment in the treatment area. It seems that the proportional distribution of facilities and powers in the hospital can affect the improvement of the communication model.
EVALUASI PENGGUNAAN OPAC SEBAGAI SARANA TEMU KEMBALI INFORMASI DI PERPUSTAKAAN UIN RADEN FATAH PALEMBANG
Authors: Nurmalina Nurmalina 
Published: November 2018

<p><strong>Abstrak</strong>: Tulisan ini adalah hasil penelitian yang dilakukan di UPT. Perpustakaan UIN Raden Fatah Palembang yang diberi judul “Evaluasi penggunaan OPAC sebagai sarana temu kembali informasi di UPT.Perpustakaan UIN Raden Fatah Palembang”. Penggunaan OPAC di UPT. Perpustakaan UIN Raden Fatah Palembang sudah di mulai sejak 2015. Namun sejauh ini belum diketahui apakah sudah digunakan secara maksimal dan sudah memenuhi kebutuhan pengguna atau belum. Untuk itu peneliti merasa perlu untuk melakukan evaluasi penggunaan OPAC sebagai sarana temu kembali informasi di perpustakaan.</p><p>Penelitian ini merupakan jenis penelitian kualitatif dengan menggunakan pendekatan evaluasi sumatif. Evaluasi sumatif dilaksanakan untuk menentukan sejauh mana sesuatu program mempunyai nilai kemanfaatan. Data didapat dengan cara observasi dan menyebarkan angket ke para pengunjung perpustakaan.</p><p>Hasil yang didapat adalah penggunaan OPAC di perpustakaan cukup tinggi dan responden merasa terbantu dalam menemukan koleksi dengan cepat sehingga dapat mempersingkat waktu pencarian.</p><p><strong>Kata kunci</strong>: Katalog online, temu kembali informasi, OPAC.</p><p><strong>Abstract</strong>: This paper is the result of research conducted in the central library UIN Raden Fatah Palembang. Online Public Access Catalogue (OPAC) in this library has been used since 2015. This study aimed to know the use of OPAC which available in the central library UIN Raden Fatah Palembang.</p><p>This research is a type of qualitative research using summative evaluation approach. Summative evaluation is conducted to determine the extent to which a program has a value of benefit. Data were collected from 150 questionnaires.</p><p>The result of this study revealed that the use of OPAC in the library is high. Users had a filling satisfication when used OPAC. Users was very helped in finding collection quickly so as to shorten the search time.</p><p><strong>Keywords</strong>: Online Catalogue, information retrieval, OPAC.</p>
Orthopaedic Resident Remediation
Authors: Melton William , Jackson J. Benjamin , Koon David , Grabowski Gregory 
Published: November 2018

Background:
Despite multiple studies in other areas of surgical resident education, there is no current literature regarding orthopaedic resident remediation. The goal of the present study was to use a survey format to determine the frequency of remediation, the underlying etiology, the intervention strategies utilized, and the outcomes.

Methods:
The program directors of all current 159 Accreditation Council for Graduate Medical Education-recognized orthopaedic residency programs in the United States were e-mailed a non-identifying digital survey. Follow-up e-mails were sent monthly for a 3-month period. The data remained anonymous, with no identifying information. The data are reported with use of descriptive statistics.

Results:
Seventy (44%) of 159 program directors responded; most were from academic institutions with 4 to 5 residents per class. One hundred and fifty-eight residents were remediated, with the greatest number being remediated during the third postgraduate year (PGY-3). Professionalism, patient care, and communication were the most common deficiencies requiring remediation. Mentorship, feedback, and probation were the most common interventions. Of the 117 residents for which the outcome was reported, 58 graduated on time, 14 graduated from another program, 25 graduated from another specialty, 14 were terminated, 3 pursued litigation, and 3 chose a non-medical career. Rehabilitation, didactics, feedback, and mentorship were associated with the highest rates of on-time graduation.

Conclusions:
Most remediated residents were PGY-3, suggesting increased scrutiny as residents moved from junior to senior responsibilities. The greatest number of deficiencies requiring remediation pertained to the affective domain, which highlights the importance of screening measures such as away rotations and interviews. The relationships formed during increased feedback sessions and mentorships can help problem residents to graduate on time.
Failed Total Hip Arthroplasty
Authors: Bou Monsef Jad , Parekh Amit , Osmani Feroz , Gonzalez Mark 
Published: November 2018

* Failure of a total hip arthroplasty could be a result of multiple intrinsic and extrinsic factors.* Understanding the causes of failure in study populations is essential in guiding future strategies to optimize safety and outcome as well as the utilization of health-care resources.* A systematic evaluation is crucial to identify the mechanism of failure and establish a standardized treatment plan.
Multiscale Fluid-Phase-Behavior Simulation in Shale Reservoirs Using a Pore-Size-Dependent Equation of State
Authors: Luo Sheng , Lutkenhaus Jodie L. , Nasrabadi Hadi 
Published: November 2018

Summary
The phase behavior of reservoir fluids plays a fundamental role in predicting well performance and ultimate recovery. The uncertainty in phase behavior is currently one of the greatest challenges in developing unconventional shale resources. The complex phase behavior is attributed to the broad range of pore sizes in shale. In macroscale geometries such as fractures and macropores, the fluid behavior is bulk-like; in nanoscale pores, the fluid behavior is significantly altered by confinement effects. The overall phase behavior of fluids in porous media of mixed pore sizes is yet to be understood.
In this paper, we present a study on the effect of pore-size distribution on the phase behavior of shale-reservoir fluids in a multiscale-pore system. The global fluid-phase equilibria among different sizes of pores are simulated. A pore-size-dependent equation of state (EOS) is used to describe the fluid by the confining pore diameter. The EOS confinement parameters for fluid/pore-wall surface interaction are determined by experimental results from differential-scanning calorimetry (DSC) and isothermal adsorption of species C1–14. The multiscale phase equilibria are simulated by directly minimizing the total Helmholtz free energy. A modified Eagle Ford oil is used for the case study. Constant-composition expansions (CCEs) of dual-scale (bulk and 15 nm) and triple-scale (bulk, 15 nm, and 5 nm) systems are simulated. The first bubble emerges from the bulk region at a lightly suppressed “apparent” bubblepoint pressure. Below the bubblepoint, the liquid saturation in the bulk region drops sharply, but the fluids in the nanopores are undersaturated throughout the multistage expansions. In the end, large amounts of intermediate-to-heavy hydrocarbons are retained in nanopores, implying a significant oil-recovery loss in shale. The confinement effect also leads to near-critical phase behavior in small-scale nanopores (&lt;5 nm).
NISE: NO CORAÇÃO DA LOUCURA - UMA ANÁLISE DO CONTEXTO DO FILME E A EVOLUÇÃO LEGISLATIVA SOBRE SAÚDE MENTAL
Authors: Moreira Amanda Oliveira da Câmara , Silva Marcelo Maurício da , Mota Fabiana Dantas Alves Soares da 
Published: November 2018

Partindo-se do filme “Nise – no coração da loucura” como marco temporal inicial, com base no ano de 1944 até o ano de 2018, realiza-se um retalho no tempo analisando as legislações vigentes desde a época inicial até a atualidade, no que tange à saúde mental, seja no tratamento médico ou no local de internação dos pacientes, com o objetivo de demonstrar a real evolução legislativa e casuística, seja ela internacional ou nacional. A metodologia aplicada foi o método indutivo e histórico. O objetivo do presente é demonstrar através de um recorte cinematográfico as implicações jurídicas dadas no caso do tratamento dos pacientes que possuem problemas de saúde mental. Como considerações finais o que se observa é uma evolução legislativa no que tange a tutela dos deficientes mentais, com tratamentos mais humanizados, priorizando a dignidade da pessoa humana.

Palavras-chave: Saúde mental. Direitos Humanos. Deficiente mental. Cinema.
Monthly precipitation modeling using Bayesian Non-homogeneous Hidden Markov Chain
Authors: Long Yuannan , Tang Rong , Wang Hui , Jiang Changbo 
Published: November 2018

Abstract
Monthly precipitation modeling is important in various applications, e.g. streamflow forecasts and water resources management. This paper develops an operational precipitation forecasting scheme, using Bayesian Non-homogeneous Hidden Markov Chain (NHMM) model and teleconnection index. Although the Hidden Markov Chain model has been investigated before in similar studies, the NHMM algorithm employed in this study allows modeling both non-stationary transition probabilities and emission matrix. Climatic teleconnection that affect precipitation is used to drive changes in transition probabilities of different states in the Markov model. The proposed framework is illustrated for multiple-station precipitation analysis in NingXiang County, a southern inland area in China with a high population density. A simulation model is constructed to examine the model's capacity in capturing variabilities and temporal-spatial characteristics exhibiting in monthly precipitation data during 1961–2013. Results indicate that the proposed NHMM model captures the precipitation characteristics at different stations well. Spearman correlation between conditional mean of simulated ensembles and observed data is 0.87–0.9, with few variations at distinct stations. The proposed framework has general applications and can be applied to simulate and generate stochastic monthly precipitation. Further application of the method is also described in the paper.
Pentaerythritol: A Versatile Substrate in Organic Transformations, Centralization on the Reaction Medium
Authors: Khademi Zahra , Nikoofar Kobra , Shahriyari Fatemeh 
Published: November 2018

Background:Pentaerythritol (2,2-bis (hydroxymethyl) propane-1,3-diol) as white crystalline odorless solid has been synthesized in 1891. Pentaerythritol is multifaceted species in many compounds, which are wildly utilized in medicine and industry. Also, multicomponent reactions (MCRs) play a crucial role in organic and medicinal chemistry. Hence, in these reactions, pentaerythritol is a versatile substrate for the synthesis of many polyfunctionalized products, because of the presence of the neopentane core and one hydroxyl group in each of the four terminal carbons. </P><P> Objective: The review describes pentaerythritol multicomponent reactions in the presence of different solvents in the reaction medium to produce various compounds including pentaerythritols. This review covers the literature relevant up to 2018.Conclusion:It is obvious from the provided review that a great deal of research has been done in this field, utilizing various mediums (solvent-free conditions, aqueous media, and organic solvents) for the synthesis of the products of containing pentaerythritols. This classification is based on the importance of economic and environmental friendly reactions. Due to the whole aforesaid reports, some reactions required heat for their progress, and some others were accompanied by microwave or ultrasonic waves.
Music Therapy in the Management of Dementia
Authors: Klímová Blanka , Kuča Kamil , Vališ Martin 
Published: November 2018

Background:
Due to the increase in life expectancies and the number of aging population
worldwide, there is a rise of aging diseases, out of which the most common is dementia. Therefore,
researchers all over the world look for another alternative ways that can improve cognitive
competency and neuropsychiatric disorders of these people in order to assist them in maintaining the
quality of their life and reducing the overall economic burden. One of the alternative approache
seems to be non-pharmacological therapies, which are non-invasive, with minimum side effects and
definitely less costly, such as a music therapy (MT).

Objective:
The purpose of this review study is to discuss benefits and limitations of music therapy in
the management of dementia.

Method:
This was done by conducting a literature review of available sources found in the Web of
Science, Scopus and MEDLINE.

Results:
The findings show that MT may be a promising non-invasive strategy with a long history
of use, relatively favorable acceptance among patients with dementia, and its efficacy especially in
the treatment of psycho-behavioral symptoms of dementia.

Conclusion:
However, more research should be conducted in the area of cognitive functioning, as
well as on the mechanism of MT for dementia patients.
The Role of Diffusion-weighted Imaging in Patients with Gastric Wall Thickening
Authors: Onal Yilmaz , Samanci Cesur 
Published: November 2018

Background:
Gastric cancer is the second leading cause of cancer death worldwide.

Aims:
In the benign and malign gastric pathologies, we measured the Apparent Diffusion Coefficient
(ADC) value from the thickened section of the stomach wall. We assessed the diagnostic value
of ADC and we wanted to see whether this value could be used to diagnose gastric pathologies.

Study Design:
This study has a prospective study design.

Methods:
A total of 90 patients, 27 with malign gastric pathologies 63 with benign gastric pathologies
with Gastric Wall (GW) thickening in multidector CT, were evaluated by T2 weighted axial
MR imaging and Diffusion-Weighted Imaging (DWI). Measurements were made both from the
thickened wall and from the normal GW. Also, a new method called GW/spine ADC ratio was performed
in image analysis. The value found after ADC measurement from the GW was proportioned
to the spinal cord ADC value in the same section.

Results:
The ADC values measured from the pathological wall in patients with gastric malignancy
(1.115 ± 0.156 x10-3 mm2/s) were significantly lower than the healthy wall measurements (1.621 ±
0.292 × 10-3 mm2/s) and benign gastric diseases (1.790± 0.359 x10-3 mm2/s). GW/spine ADC ratio
was also lower in gastric malignancy group.

Conclusion:
ADC measurement in DWI can be used to distinguish between benign and malign gastric
pathologies.
Electron Beam Dose and PMMA Thickness Dependent Circularity and Diameter Analysis of Au Nanodots
Authors: Kuruoğlu Furkan , Yavuzçetin Özgür , Erol Ayşe 
Published: November 2018

Background:
The electrical and optical properties of nanoparticle-based devices depend on
the shape, dimension and uniformity of these particles.

Methods:
In this work, we fabricated ordered Au nanodots using electron beam lithography and thermal
evaporation. Au nanodot diameter and circularity varied with a changed exposure dose and resist
thickness. Electron beam dose ranged from 5 fC to 200 fC for single dot patterns. Commonly used
PMMA thin films of thicknesses 60 nm and 100 nm coated samples were used for investigating the
resist thickness dependency with varying dose exposure.

Results:
The analyses of patterns show that the diameter and circularity of the Au nanodots ranged
from smaller to larger diameters and from lower to higher circularities with increasing dose and resist
thickness.

Conclusion:
The distributions of the nanodot diameter began to show Gaussian behavior at larger
electron doses. Besides, single circularity value became dominant up to the medium doses and then a
homogeneous distribution was observed with the increasing dose.
A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization
Authors: Yang Wuritu , Zhu Xiao-Juan , Huang Jian , Ding Hui , Lin Hao 
Published: November 2018

Background:The location of proteins in a cell can provide important clues to their functions in various biological processes. Thus, the application of machine learning method in the prediction of protein subcellular localization has become a hotspot in bioinformatics. As one of key organelles, the Golgi apparatus is in charge of protein storage, package, and distribution.Objective:The identification of protein location in Golgi apparatus will provide in-depth insights into their functions. Thus, the machine learning-based method of predicting protein location in Golgi apparatus has been extensively explored. The development of protein sub-Golgi apparatus localization prediction should be reviewed for providing a whole background for the fields.Method:The benchmark dataset, feature extraction, machine learning method and published results were summarized.Results:We briefly introduced the recent progresses in protein sub-Golgi apparatus localization prediction using machine learning methods and discussed their advantages and disadvantages.Conclusion:We pointed out the perspective of machine learning methods in protein sub-Golgi localization prediction.
Research Progress of Exogenous Plant MiRNAs in Cross-Kingdom Regulation
Authors: Zhang Hao , Zhan Mengping , Chang Haowu , Song Shizeng , Zhang Chunhe , Liu Yuanning 
Published: November 2018

Background:Studies have shown that exogenous miRNAs have cross-kingdom regulatory effects on bacteria and viruses, but whether exogenous plant miRNAs are stable in human body or participate in cross-kingdom regulation is still controversial.Objective:This study aims to propose a new method for the presence and cross-kingdom regulation pathway of exogenous Plant miRNA, which combines biological calculations and biological experiments.Method:Based on the high-throughput sequencing data of human health tissue, the tissue specificity model of exogenous plant miRNA can be constructed and the absorption characteristics will be excavated and analyzed. Then screening the exogenous Plant miRNA based on the crosskingdom regulation model of plant-human miRNA, and isotope labeling can be used to verify the presence and regulation pathway of exogenous plant miRNA.Results:Only based on a comprehensive analysis to human high-throughput miRNA data, establishing cross-kingdom regulation model and designing effective biological experiments, can we reveal the existence, access pathways and regulation of exogenous plant miRNAs.Conclusion:Here, we reviewed the most recent advances in the presence and pathway of exogenous plant miRNAs into human and their cross-kingdom regulation.
Club Drugs and Rave Parties: A Pilot Study on Synthetic Drug Consumption Styles in a Sample of Young Italian Ravers
Authors: Biolcati Roberta , Mancini Giacomo 
Published: November 2018

Introduction:So-called club drugs, psychoactive substances by definition related to rave and private parties culture, have a strong social impact in terms of health risks, especially for their spread among adolescents and young adults. In addition, polydrug use is a common pattern of consumption in some subcultures, such as the ravers culture. This study explores characteristics, consumption profiles, contexts of use, motives, and levels of satisfaction with life in a sample of synthetic/hallucinogenic substance users.Methods:We administered an ad hoc questionnaire to 37 Italian participants (62.2% males) recruited through several rave events in the city of Bologna.Results/ Conclusions:The results showed that consumers choose substances belonging to the same “family,” such as methamphetamines (MDMA and speed) and psychedelic substances (ketamine and LSD), for specific and contextual motives. The findings are discussed in light of the target sample’s socioeconomic conditions, consumer profiles, features of the rave context, and dissatisfaction with some areas of life.
SOOP: A Swarm-Optimized Opinion Prediction Model for S-Health Governance
Authors: Kumar Akshi , Sharma Abhilasha 
Published: November 2018

Background:
To realize a viable and resilient smart city-smart nation scenario, “peoplecentric”
strategic technology components are imperative to eventually create smart outcomes for citizens.
Smart health is one such domain where the government is putting incessant effort to ensure
social well-being and sustainability. Contemplation of public opinion plays a very significant role in
the process of government policy evaluation. The current affordable, ubiquitous generation of Web
provides substantial amount of opinionated social big data which facilitates data-driven decision
making. But determining the polarity of short-text, a.k.a. sentiment is hard owing to the noisy, ambiguous
and heterogeneous use of natural language.

Objective:
A novel health governance framework using a Swarm Optimized Opinion Prediction
model, SOOP Model is proposed to capture netizen views on government policies and figure out the
inclination of public about the campaign. The model is investigated for the sentiment classification
task on tweets pertaining to ‘Poshan Abhiyaan’, one of the latest healthcare policy, launched by the
Government of India to address the issues related to malnutrition in women and children.

Methods:
The conventional feature extraction using TF-IDF (Term Frequency-Inverse Document
Frequency) is done on the pre-processed dataset. Subsequently, Binary bat algorithm, a swarm-based
optimal feature selection method is used to improve the sentiment classifier’s performance.

Results:
The empirical analysis validates that the proposed implementation of the meta-heuristic algorithm
for feature subset selection outperforms the baseline supervised learning algorithms with an
average 9.4% improvement in accuracy and approximately 39% average reduction in features.

Conclusion:
The proposed SOOP Model as a policy evaluation strategy within the healthcare setting
empowers various stakeholders and enhances their socio-economic environment.