bluuebunny/crossref_metadata_2025 huggingface dataset:
APPRAISAL OF ON-SITE SANITATION FACILITIES AND SOLID WASTE MANAGEMENT IN PUBLIC PLACES WITHIN AKURE MUNICIPALITY, NIGERIA
Authors: Adewumi James Rotimi , Ajibade Temitope Fausat , Ajibade Fidelis Odedishemi
Published: April 2020

Public places within Nigeria are ever humming with tremendous activity and accordingly reflecting growth and development of the host cities. The ensuing channelization demands of these centres calls for apposite sanitation to enhancing efficient operation and utilization. This study was undertaken to assess the present status of onsite sanitation facilities in public places within Akure, to trace problems related to sanitation and solid waste management. Logical sampling methods were used to sample the users and passers-by of selected public places. Primary data were acquired from scrutinizing sanitation facilities, employing questionnaire, and interviewing the chief players- drivers and traders- in these centres. Qualitative and quantitative data obtained from both primary and secondary sources were employed for this study. Survey facts were analyzed using descriptive statistical method while Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) was further utilized in results analysis. The outcomes showed existing sanitary facilities are insufficient to match the populace, and a poor maintenance of these facilitates credited to unavailability of dedicated management staff coupled with flawed maintenance and monitoring by local authorities. This is occasioned by lower than normal patronage. Further, the general experience of the respondent with regard to these facilities were rather unpleasant. Combating strategies to the established challenges in the selected centres are active governmental involvement in restructuring these places in conformity with standard requirements; community support programs, and a supervisory team routinely overseeing the reliability and development of sanitation facilities.
EFFECT OF EARTH COVERING AND WATER BODY ON LAND SURFACE TEMPERATURE (LST)
Authors: Uddin Md. Jahir , Mondal Chandan
Published: April 2020

Land surface covering and water body play an important role on local environment especially on Land Surface Temperature (LST). In study above mentioned concept has been conducted on the drainage basin of Atai-Bhairab-Rupsha river confluence which is an important place both for agriculture and trade in the south-western part of Bangladesh. Here the impact of both surface covering and water body on local environmental factor like LST is being analyzed to determine the main catalyst in ever changing LST. LST study in this area which is changed dramatically recently may be a well-defined index, reflects environmental conditions. LST is mainly altered by the factors like land surface covering such as vegetation represented by NDVI, water body by NDWI, and barren or urban area by NDBI but only few are key factors. The gradual changes of these four parameters (LST, NDVI, NDWI, and NDBI) are studied for the years 1991, 1996, 2002, 2006, 2011 and 2017. From the LST study, it is observed that from 1991 to 2017 highest temperature decreased significantly and the difference between 1991 and 2017 is greater than 100C. Variation of lowest temperature all these years are insignificant. Meanwhile, from NDVI analysis if is observed that area of vegetation coverage increased in a significant rate from the years 1991 to 2017. The area of water body is being found almost unchanged in this time period from the NDWI analysis. Nevertheless, from the NDBI analysis it is found that the barren area is diminished significantly in this period and is obviously replaced by vegetation. At all, it can be said that the highest value of NDVI in 1991 is greater than 2017 denotes some short of drought or increasing salinity condition but in general viewpoint vegetation helps to keep surface temperature under control.
COMPARING COMPRESSIVE STRENGTHS OF LAYERED AND RANDOM PLACEMENT OF EXPANDED POLYSTYRENE WASTES IN QUARRY DUST BLOCKS
Authors: Kiptum Clement Kiprotich , Mwirigi Victor Muroki , Ochieng Steve Ochillo
Published: April 2020

Despite intense research on building materials, the challenge of finding cheap and lightweight construction materials still persist for persons wishing to construct a house. A material that is getting attention of researchers and lightweight is Expanded Polystyrene (EPS). The aim of this study was to compare compressive strength and mass of blocks made when EPS were mixed randomly or in layered manner in cement-quarry dust mortar. The EPS wastes were placed randomly and in a single layer so as to give percentage volume of 0% (control), 10%, 20%, 30%, 40% and 50% EPS of the cube of 150 mm. The results showed that the average compressive strength of mortar was 18.67 ±1.33 N/mm2. The strength reduction proportionality factor for layered mixing was 0.76 to 1 and 0.29 to 1 for random mixing. This showed that reduction of strength was greater in random mixing than layered mixing. Increase of EPS above 30% randomly, resulted in lightweight blocks of between 1319 and 1669 Kg/m3, whereas increasing EPS in layered manner above 50% resulted in lightweight blocks of densities less than 1679 Kg/m3. This research showed that 40% EPS randomly mixing resulted in a light block which met the minimum strength criteria of 3.6 N/mm2.
PENINGKATAN KREATIVITAS KERJA GURU DENGAN MEMPERBAIKI BUDAYA ORGANISASI DAN EFIKASI DIRI
Authors: Sartana Fenni , Entang Muhamad , Patras Yuyun Elizabeth , Harijanto Sutji
Published: April 2020

IMPROVING THE TEACHER CREATIVITY BY IMPROVING THE ORGANIZATION AND SELF-EFICATION CULTUREThe purpose of this reseach is to determine the correlation between organization culture and self efficacy toward teacher’s creativity. This study is conducted in Vocational High School at Region of Cibinong. The study population is 283 teachers and the number of sample is 166 teachers decided by proportional random sampling. Data was collected by questionnaire. The data analysis technique used correlation regression partial and multiple. The result shows that there is positive correlation between organization culture and teacher’s creativity (the correlation coefficient ry1 = 0,661 and the detemination coefficient r2y1=0,437), there is positive correlation between self efficacy and teacher’s creativity (the correlation coefficient ry2 =0,609 and the determination coefficient r2y2=0,370), and there is positive correlation  of organization culture and self efficacy to teacher’s creativity (the correlation coefficient ry12 = 0,716 and the determination coefficient r2y12= 0,513). Based on the result, it can be concluded that the teacher’s creativity could be enhanced through organization culture and self-efficacy either partially or concurrently
ANALISIS SWOT DAYA SAING SEKOLAH: STUDI KASUS DI SEKOLAH MENENGAH KEJURUAN NEGERI 1 PASIR PENYU INDRAGIRI HULU, RIAU
Authors: Setyaningsih Rini , Wulandari Herlin
Published: April 2020

SCHOOL COMPETITIVENESS SWOT ANALYSIS: A CASE STUDY IN SMKN 1 PASIR PENYU INDRAGIRI HULU,  RIAUOne of the characteristics to see the competitiveness of a school is its accreditation ranking. Schools that have been accredited A can be said to have a great opportunity in developing effective strategies to improve competitiveness. The purpose of this study was to determine the strategic position of SMK N 1 Pasir Penyu with SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats). All data were found by researchers through interviews, literature studies, observations, and documents, and questionnaires. Analysis of the data the researcher did was IFAS and EFAS, then SWOT analysis to find out some internal and external factors and to identify a strategic position of SMK N 1 Pasir Penyu. The results of this study indicate that SMK N 1 Pasir Penyu is located in quadrant I position (Aggressive), which means that SMK N 1 Pasir Penyu is in the survival stage. Researcher's suggestion for SMK N 1 Pasir Penyu is to be able to fix several internal weaknesses. To be able to avoid and reduce the threat of competition between schools, SMK 1 Pasir Penyu can create a unique competition as a differentiator between similar schools.
LITAO3 CHARACTERIZATION OF RUBIDIUM ON TEMPERATURE VARIATIONS
Authors: Ismangil Agus , Negara Teguh Puja
Published: April 2020

One of the studies that recently attracted the attention of physicists is research on ferroelectric material because this material is very promising for the development of new generation devices in connection with the unique properties it has. Ferroelectric materials, especially those based on a mixture of lithium tantalite (LiTaO3), are expected to be applied to the infrared sensor. Lithium tantalate (LiTaO3) is a ferroelectric material that is unique in terms of pyroelectric and piezoelectric properties that are integrated with good mechanical and chemical stability. Therefore LiTaO3 is often used for several applications such as electro-optical modulators and pyroelectric detectors. LiTaO3 is a non-hygroscopic crystal, colorless, soluble in water, has a high transmission rate and does not easily damage its optical properties. LiTaO3 is a material that has a high dielectric constant and a high load storage capacity. This research has succeeded in determining the band gap energy of the LiTaO3 film in the rubidium chamber obtained in the range of values 2.02-2.98 eV as shown in figure 4. The LiTaO3 film after the annealing process at a temperature of 650 oC, has the highest band gap energy of 2.98 eV. Large energy is needed on the electrons to be excited from the valence band to the conduction band. Whereas in the LiTaO3 film after an annealing process of 800 oC, the band gap energy obtained is 2.02 eV. This makes it easier for electrons to be excited from the valence band to the conduction band because the energy needed is not too large.
THE TABLET FORMULATIONS EFERVESEN EXTRACT OF CINNAMON BARK WITH VARIATIONS IN THE TYPE OF SWEETENER
Authors: Andini Septia , Rustiani Erni , Indriati Dwi
Published: April 2020

Cinnamon Bark contains flavonoids, tannins, alkaloids, and phenols. Phenolic compounds contained in cinnamon is a sinamat acid is effective as anti diabetic. This research aims to determine the formula preparations tablets efervesen extract of cinnamon bark with a certain type of sweetener that favored the panelists and the levels of sinamat acid in efervesen tablets and extracts. The formula is made with different types of sweeteners such as aspartame stevia 1.5%, 3.5% and 1% sukralosa. The results of the analysis showed no difference in sweeteners influence against the parameters of color and scent but the effect on the parameters of taste every formula. Formula tablets efervesen extract of cinnamon bark that is favored by panelists based on based on the parameters of taste is formula 1 with the sweetener aspartame concentration of 1.5% and a formula 3 with sweetener sukralosa concentration 1% preferred formula panelists. The results of the analysis of the levels of sinamat acid in extract of cinnamon bark obtained the level of 471, 13 mg/g as for Formula 1 tablet efervesen acquired the levels of 369.76 mg/gram
REVIEW OF ROAD DRAINAGE SYSTEM (CASE STUDY: JALAN CIGOMBONG KM 16 - KM 23)
Authors: Azura Yahya , Purwanti Heny , Prakoso Wahyu Gendam
Published: April 2020

A good road drainage system is needed to ensure that road user activities are not disrupted due to rain puddles. The cause of inundation that occurs is land use change, there is no drainage channel, the channel is not well connected, the channel is closed due to widening of the road without considering drainage channels. Given this, research needs to be carried out on the condition of the existing drainage system as a material consideration for evaluating its feasibility and planning a drainage system that is able to overcome the inundation that occurs. Writing this final project refers to primary data and secondary data that already exist. The rainfall data came from the Climatology and Geophysics Meteorological Agency, Balai Besar Region II, Bogor Regency, which is the Darmaga huajn rainfall measurement station and the PUPR Binamarga Office of Bogor Regency. Meanwhile, to find out the dimensions of the existing drainage channels obtained by conducting surveys and direct observation to the field. Data analysis which was carried out was hydrological and hydraulics analysis. Hydrological analysis includes the analysis of rainfall frequency, determining the repeat period, calculating the concentration time, analyzing the rainfall intensity, and calculating the flow flow plan. Based on the results of hydrological analyzes, the hydraulics analysis is then performed, such as calculating the plan channel profile and calculating the height of the planned channel guard. From all of these analyzes, the results of the drainage study on the Cigombong KM 16 - KM 23 highway were carried out, that is, the entire capacity of the existing canals was not able to accommodate the planned flow discharge for a return period of 2 years 5 years 50 years. In addition, the results of the analyzes that have been carried out show that the rain that occurs during a certain period of time and a certain return period greatly affects the planned drainage channel profile and is due to the large amount of garbage in the channel which affects the reservoirs in the drainage that often occur frequently
Normalization-based Neighborhood Model for Cold Start Problem in Recommendation System
Authors: Zahid Aafaq , Sharef Nurfadhlina , Mustapha Aida
Published: April 2020

Existing approaches for Recommendation Systems (RS) are mainly based on users’ past knowledge and the more popular techniques such as the neighborhood models focus on finding similar users in making recommendations. The cold start problem is due to inaccurate recommendations given to new users because of lack of past data related to those users. To deal with such cases where prior information on the new user is not available, this paper proposes a normalization technique to model user involvement for cold start problem or user likings based on the details of items used in the neighborhood models. The proposed normalization technique was evaluated using two datasets namely MovieLens and GroupLens. The results showed that the proposed technique is able to improve the accuracy of the neighborhood model, which in turn increases the accuracy of an RS.
Issues of Dialectal Saudi Twitter Corpus
Authors: Alruily Meshrif
Published: April 2020

Text mining research relies heavily on the availability of a suitable corpus. This paper presents a dialectal Saudi corpus that contains 207452 tweets generated by Saudi Twitter users. In addition, a comparison between the Saudi tweets dataset, Egyptian Twitter corpus and Arabic top news raw corpus (representing Modern Standard Arabic (MSA) in various aspects, such as the differences between formal and colloquial texts was carried out. Moreover, investigation into the issues and phenomena, such as shortening, concatenation, colloquial language, compounding, foreign language, spelling errors and neologisms on this type of dataset was performed.
An Enhanced MSER Pruning Algorithm for Detection and Localization of Bangla Texts from Scene Images
Authors: Islam Rashedul , Islam Rafiqul , Talukder Kamrul
Published: April 2020

Text detection and localization have great importance for content based image analysis and text based image indexing. The efficiency of text recognition depends on the efficiency of text localization. So, the main goal of the proposed method is to detect and localize text regions with high accuracy. To achieve this goal, a new and efficient method has been introduced for localization of Bangla text from scene images. In order to improve precision and recall as well as f-measure, Maximally Stable Extremal Region (MSER) based method along with double filtering techniques have been used. As MSER algorithm generates many false positives, we have introduced double filtering method for removing these false positives to increase the f-measure to a great extent. Our proposed method works at three basic levels. Firstly, MSER regions are generated from the input color image by converting it into gray scale image. Secondly, some heuristic features are used to filter out most of the false positives or non-text regions. Lastly, Stroke Width Transform (SWT) based filtering method is used to filter out remaining non-text regions. Remaining components are then grouped into candidate text regions marked by bounding box over each region. As there is no benchmark database for Bangla text, the proposed method is implemented on our own prepared database consisting of 200 scene images of Bangla texts and has got prominent performance. To evaluate the performance of our proposed approach, we have also tested the proposed method on International Conference on Document Analysis and Recognition( ICDAR) 2013 benchmark database and have got a better result than the related existing methods.
A Novel Image Retrieval Technique using Automatic and Interactive Segmentation
Authors: Amin Asjad , Qureshi Muhammad
Published: April 2020

In this paper, we present a new region-based image retrieval technique based on robust image segmentation. Traditional content-based image retrieval deals with the global description of a query image. We combine the state-of-the-art segmentation algorithms with the traditional approach to narrow the area of interest to a specific region within a query image. In case of automatic segmentation, the algorithm divides a query image automatically and computes Zernike moments for each region. For interactive segmentation, our proposed scheme takes as input a query image and some information regarding the region of interest. The proposed scheme then works by computing the Geodesic-based segmentation of the query image. The segmented image is our region of interest which is then used for computing the Zernike moments. The Euclidean distance is then used to retrieve different relevant images. The experimental results clearly show that the proposed scheme works efficiently and produces excellent results.
Incorporating Reverse Search for Friend Recommendation with Random Walk
Authors: Yang Qing , Wang Haiyang , Bian Mengyang , Lin Yuming , Zhang Jingwei
Published: April 2020

Recommending friends is an important mechanism for social networks to enhance their vitality and attractions to users. The huge user base as well as the sparse user relationships give great challenges to propose friends on social networks. Random walk is a classic strategy for recommendations, which provides a feasible solution for the above challenges. However, most of the existing recommendation methods based on random walk are only weighing the forward search, which ignore the significance of reverse social relationships. In this paper, we proposed a method to recommend friends by integrating reverse search into random walk. First, we introduced the FP-Growth algorithm to construct both web graphs of social networks and their corresponding transition probability matrix. Second, we defined the reverse search strategy to include the reverse social influences and to collaborate with random walk for recommending friends. The proposed model both optimized the transition probability matrix and improved the search mode to provide better recommendation performance. Experimental results on real datasets showed that the proposed method performs better than the naive random walk method which considered the forward search mode only.
A Deep Learning based Arabic Script Recognition System: Benchmark on KHAT
Authors: Ahmad Riaz , Naz Saeeda , Afzal Muhammad , Rashid Sheikh , Liwicki Marcus , Dengel Andreas
Published: April 2020

This paper presents a deep learning benchmark on a complex dataset known as KFUPM Handwritten Arabic TexT (KHATT). The KHATT data-set consists of complex patterns of handwritten Arabic text-lines. This paper contributes mainly in three aspects i.e., (1) pre-processing, (2) deep learning based approach, and (3) data-augmentation. The pre-processing step includes pruning of white extra spaces plus de-skewing the skewed text-lines. We deploy a deep learning approach based on Multi-Dimensional Long Short-Term Memory (MDLSTM) networks and Connectionist Temporal Classification (CTC). The MDLSTM has the advantage of scanning the Arabic text-lines in all directions (horizontal and vertical) to cover dots, diacritics, strokes and fine inflammation. The data-augmentation with a deep learning approach proves to achieve better and promising improvement in results by gaining 80.02% Character Recognition (CR) over 75.08% as baseline.
A Fog Computing-based Framework for Privacy Preserving IoT Environments
Authors: Abou-Tair Dhiah el Diehn , Büchsenstein Simon , Khalifeh Ala’
Published: April 2020

Privacy is becoming an indispensable component in the emerging Internet of Things (IoT) context. However, the IoT based devices and tools are exposed to several security and privacy threats, especially that these devices are mainly used to gather data about users’ habits, vital signs, surround environment, etc., which makes them a lucrative target to intruders. Up to date, conventional security and privacy mechanisms are not well optimized for IoT devices due to their limited energy, storage capacity, communication functionality and computing power, which influenced researchers to propose new solutions and algorithms to handle these limitations. Fog and cloud computing have been recently integrated in IoT environment to solve their resources’ limitations, thus facilitating new life scenarios-oriented applications. In this paper, a security and privacy preserving framework is proposed, which utilizes Fog and cloud computing in conjunction with IoT devices that aims at securing the users’ data and protecting their privacy. The framework has been implemented and tested using available technologies. Furthermore, a security analysis has been verified by simulating several hypothetical attack scenarios, which showed the effectiveness of the proposed framework and its capability of protecting the users’ information.
Self-Organizing Map vs Initial Centroid Selection Optimization to Enhance K-Means with Genetic Algorithm to Cluster Transcribed Broadcast News Documents
Authors: Maghawry Ahmed , Omar Yasser , Badr Amr
Published: April 2020

A compilation of artificial intelligence techniques are employed in this research to enhance the process of clustering transcribed text documents obtained from audio sources. Many clustering techniques suffer from drawbacks that may cause the algorithm to tend to sub optimal solutions, handling these drawbacks is essential to get better clustering results and avoid sub optimal solutions. The main target of our research is to enhance automatic topic clustering of transcribed speech documents, and examine the difference between implementing the K-means algorithm using our Initial Centroid Selection Optimization (ICSO) [16] with genetic algorithm optimization with Chi-square similarity measure to cluster a data set then use a self-organizing map to enhance the clustering process of the same data set, both techniques will be compared in terms of accuracy. The evaluation showed that using K-means with ICSO and genetic algorithm achieved the highest average accuracy.
A Semantic Framework for Extracting Taxonomic Relations from Text Corpus
Authors: Hong Doan Phuoc Thi , Arch-int Ngamnij , Arch-int Somjit
Published: April 2020

Nowadays, ontologies have been exploited in many current applications due to the abilities in representing knowledge and inferring new knowledge. However, the manual construction of ontologies is tedious and time-consuming. Therefore, the automated ontology construction from text has been investigated. The extraction of taxonomic relations between concepts is a crucial step in constructing domain ontologies. To obtain taxonomic relations from a text corpus, especially when the data is deficient, the approach of using the web as a source of collective knowledge (a.k.a web-based approach) is usually applied. The important challenge of this approach is how to collect relevant knowledge from a large amount of web pages. To overcome this issue, we propose a framework that combines Word Sense Disambiguation (WSD) and web approach to extract taxonomic relations from a domain-text corpus. This framework consists of two main stages: concept extraction and taxonomic-relation extraction. Concepts acquired from the concept-extraction stage are disambiguated through WSD module and passed to stage of extraction taxonomic relations afterward. To evaluate the efficiency of the proposed framework, we conduct experiments on datasets about two domains of tourism and sport. The obtained results show that the proposed method is efficient in corpora which are insufficient or have no training data. Besides, the proposed method outperforms the state of the art method in corpora having high WSD results.
A Contrivance to Encapsulate Virtual Scaffold with Comments and Notes
Authors: Balasubramanaian Nagarajan , Jayapal Suguna , Janakiraman Satheeshkumar
Published: April 2020

CLOUD is an elision of Common Location-independent Online Utility available on-Demand and is based on Service Oriented Architecture (SOA). Today a chunk of researchers were working towards contrivance based on multi-tenant aware Software as a Service (SaaS) application development and still a precise pragmatic solution remains a challenge among the researchers. The first step towards resolving solution is to enhance the virtual scaffold and propose it as a System under Test (SuT). The entire work is proposed as a Model View Controller (MVC) where the tenant login through the View and write their snippet code for encapsulation. The proposed VirScaff schema acts as Controller and provides authentication and authorization by role/session assignment for tenant and thus helps to access data from the dashboard (Viz., Create, Read, Update and Delete (CRUD)). The SuT supports and accommodates both SQL and Not only Structured Query Language (NoSQL) dataset. Finally, this paper construed that SuT behaves well for both SQL and NoSQL dataset in terms of time and space complexities. To sum-up, the entire work addresses the challenges towards multitenant aware SaaS application development and highly commendable while using NoSQL dataset.
Using Total Probability in Image Template Matching
Authors: Sadeq Haval
Published: April 2020

Image template matching is a main task in photogrammetry and computer vision. The matching can be used to automatically determine the 3D coordinates of a point. A firstborn image matching method in fields of photogrammetry and computer vision is area-based matching, which is based on correlation measuring that uses normalised cross-correlation. However, this method fails at a discontinuous edge and at the area of low illumination or at geometric distortion because of changes in imaging location. Thus, these points are considered outliers. The proposed method measures correlations, which is based on normalised cross-correlation, at each point by using various sizes of window and then considering the probability of correlations for each window. Thereafter, the determined probability values are integrated. On the basis of a specific threshold value, the point of maximum total probability correlation is recognised as a corresponding point. The algorithm is applied to aerial images for Digital Surface Model (DSM) generation. Results show that the corresponding points are identified successfully at different locations, especially at a discontinuous point, and that a Digital Surface Model of high resolution is generated.
A Novel Physical Machine Overload Detection Algorithm Combined with Quiescing for Dynamic Virtual Machine Consolidation in Cloud Data Centers
Authors: Alsbatin Loiy , Öz Gürcü , Ulusoy Ali
Published: April 2020

Further growth of computing performance has been started to be limited due to increasing energy consumption of cloud data centers. Therefore, it is important to pay attention to the resource management. Dynamic virtual machines consolidation is a successful approach to improve the utilization of resources and energy efficiency in cloud environments. Consequently, optimizing the online energy-performance trade off directly influences Quality of Service (QoS). In this paper, a novel approach known as Percentage of Overload Time Fraction Threshold (POTFT) is proposed that decides to migrate a Virtual Machine (VM) if the current Overload Time Fraction (OTF) value of Physical Machine (PM) exceeds the defined percentage of maximum allowed OTF value to avoid exceeding the maximum allowed resulting OTF value after a decision of VM migration or during VM migration. The proposed POTFT algorithm is also combined with VM quiescing to maximize the time until migration, while meeting QoS goal. A number of benchmark PM overload detection algorithms is implemented using different parameters to compare with POTFT with and without VM quiescing. We evaluate the algorithms through simulations with real world workload traces and results show that the proposed approaches outperform the benchmark PM overload detection algorithms. The results also show that proposed approaches lead to better time until migration by keeping average resulting OTF values less than allowed values. Moreover, POTFT algorithm with VM quiescing is able to minimize number of migrations according to QoS requirements and meet OTF constraint with a few quiescings.
COVİD 19 Enfeksiyonu: Dermatolojik bulgu var mı?
Authors: SEVİMLİ DİKİCİER Bahar , YALDIZ Mahizer
Published: April 2020

Yeni corona virüs dermatologlar da dahil tüm hekimler için yeni sorunlar getirmekte. Vücuttaki bir çok organ ve deri örneklerinde yapılan otopsiler yeni corona virüsün bronş mukozası ve immün sistem hücrelerine tropizmini tipik histopatolojik bulgularıyla gösterilmiştir. Bu derlemede İngilizce literatürde son yayınlanan bildiriler incelenerek COVID-19 enfeksiyonunun dermatolojik komplikasyonlarının olup olmadığı araştırılmış ve dermatologların CODID-19 pandemisinde farkındalıklarını artırmak amaçlanmıştır.
Kulak Burun Boğaz Hekimliği Açısından COVID-19 Salgını
Authors: EĞİLMEZ Oğuz Kadir , YILMAZ Mahmut Sinan
Published: April 2020

Yeni koronavirüs hastalığı-2019 (COVID-19), SARS-CoV-2 tarafından meydana gelen ve solunum salgıları ile insandan insana yayılan oldukça bulaşıcı bir zoonozdur. Dünya Sağlık Örgütü (WHO) tarafından halk sağlığı acil durumu olarak ilan edilen bu hastalıkta sağlık çalışanları enfekte nüfusun %3.8 ila %20'sini temsil eder; %15'i ciddi şikayetler geliştirecek ve muhtemelen aralarında çoğu hayatını kaybedecektir. Çoğu hastada belirgin belirti ve semptomların (ateş/solunum) olmaması cerrahlar için gerçek bir risk oluşturur. Bu nedenle tüm hastaları değerlendirirken solunum koruyucu stratejiler uygulamalıdırlar. Aerodinamik salgıları aerosol haline getirme potansiyeline sahip tüm müdahalelerden kaçınılmalıdır veya sadece zorunlu olduğunda kullanılmalıdır. Açıklanan prosedürler, COVID-19 salgını sırasında sağlık çalışanlarının güvenliğini korumaya çalışmak için gereklidir. Özellikle, Kulak Burun Boğaz (KBB) uzmanları, baş ve boyun ve maksillofasiyal cerrahlar, COVID-19 pozitif hastalara müdahale ederken en büyük enfeksiyon riskine maruz kalmaktadırlar ve bunların korunması mevcut durumlarda bir öncelik olarak düşünülmelidir. Bu derlemede COVID-19 pandemisinde KBB hekimlerinin karşılaşabileceği riskler, bunlarla ilgili önlemler ve bu hastalığın seyrinde ortaya çıkabilen bazı önemli semptomlar üzerinde durulacaktır.
Erişkin Yaş Grubunda COVID-19 Klinik Bulguları
Authors: KARACA Banu
Published: April 2020

Yeni tip Korona virus enfeksiyonun erişkin yaş grubunda klinik bulguları değişkenlik göstermekle birlikte en sık semptomlar ateş, kuru öksürük ve nefes darlığıdır. Bunlara boğaz ağrısı, myalji, başağrısı ve halsizlik eşlik edebilir. Daha nadir olarak anozmi, tat kaybının yanısıra bulantı, ishal gibi gastrointestinal semptomlar da saptanabilir. İleri yaş ve eşlik eden komorbid hastalıkların varlığı klinik tablonun ağırlaşmasında rol oynar. Klinik ARDS’ye ilerleyebilir. Olası ve kesin olgu tanımlarında laboratuvar ve radyolojik verilerin yanında klinik bulgular önem taşır.
COVID-19 Enfeksiyonunda Toraks Bilgisayarlı Tomografi Bulguları
Authors: ÖZDEMİR Mustafa , TAYDAŞ Onur , ÖZTÜRK Mehmet Halil
Published: April 2020

2019 yeni koronavirüs hastalığı (COVID-19), tüm dünyaya yayılan önemli bir halk sağlığı sorunudur. Tanıda altın standart real-time reverse transcription polymerase chain reaction (RT-PCR) testi olsa da, özellikle klinik semptomu olup testin negatif geldiği hastalarda toraks bilgisayarlı tomografi (BT) önemli bir yol göstericidir. Bu derlemenin amacı, COVID-19’un tanısında giderek daha fazla kullanılan toraks BT’de saptanan bulguları özetlemektir.
Covid-19 Pandemi Sürecinde Şehir Sağlığı Çalışmaları
Authors: ÖZDEMİR DENİZ Pinar , EVCİ KİRAZ Emine Didem
Published: April 2020

Covid-19, damlacık yoluyla insandan insana çok hızlı bulaşmaktadır. Bulaşı önlemek için toplu yaşam alanı olan şehirlerde mecburi değişiklikler, yenilikler yapılmak zorunda kalındığı görülmektedir. Covid-19 salgını sonucu oluşacak farkındalık ve tecrübeler, daha iyi ve daha sürdürülebilir toplumlar ve şehirler inşa etmek için bir fırsata dönüştürülmelidir. Bu çalışmada pandemi
sürecinde şehir sağlığı ile ilgili gelişen yeni yaklaşımlara yer verilmiştir.
تطبيق بعض معايير الاعتماد الصحي الاساسية الصادرة من مجلس اعتماد المؤسسات الصحية (HCAC) لتدقيق أداء المستشفيات
Authors: حميد احمد عبدالستار , حسن وفاء عبدالامير
Published: April 2020

الرعاية الصحية المقدمة من قبل المؤسسات الصحية وبانواعها كافة تعاني الكثير من المشاكل، وبما ان الخدمات الصحية المقدمة مرتبطة  بحياة الانسان فلا بُدّ من تسليط الضوء على هذا النشاط والتعرف على أسباب تلك المشاكل، ويهدف هذا البحث الى تعريف الاعتماد الصحي ومعايير الاعتماد الصحي وعملية تدقيق الأداء على وفق تلك المعايير وبالتحديد المعايير الاساسية الصادرة من مجلس اعتماد المؤسسات الصحية كونها تركز على رعاية المريض للوصول الى مستوى الأداء ومعرفة المعوقات التي تؤدي الى ضعف الاداء تلك المؤسسات، لمعالجتها بشكل مقبول ينسجم مع المعايير المعتمدة. وتم اختيار مستشفى حماية الاطفال التعليمي كعينة بحث لتطبيق تلك المعايير وفق مؤشرات الملاحظة والمقابلة والوثائق. وفي ضوء الدراسة العملية تم التوصل إلىٰ مجموعة من الإستنتاجات من أهمها ما يأتي:

لم تستعمل معايير الاعتماد الصحي للمستشفيات (HCAC) كمؤشرات لتطوير مستوى اداء المستشفيات في القطاع الحكومي.

اعتماد مؤشرات أداء صحي من قبل وزارة الصحة لا تطابق معايير الاعتماد الصحي للمستشفيات (HCAC).

 لذا يوصي الباحث: -

اعتماد معايير الاعتماد الصحي للمستشفيات لغرض تطوير الاداء لتلك المؤسسات.

الارتقاء بمؤشرات ألاداء الصحي للمستشفيات من قبل وزارة الصحة بما يواكب معايير الاعتماد الصحي للمستشفيات (HCAC).
The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis
Authors: Bifftu Berhanu Boru , Mekonnen Bezenaw Yimer
Published: April 2020

Introduction: Nurses are the final safety check in the process of medication administration process to prevent errors that adversely affect life; yet death of comprehensive evidences in Ethiopia. The present study aimed to assess the pooled magnitude of MAEs (Medication Administration Errors) in Ethiopia. Methods: Systematic literature search in the databases of Pub-Med, Cochrane, and Google Scholar for gray literature were performed until December 3, 2018. The quality of study was assessed using criteria adopted from similar studies. Heterogeneity test and evidence of publication bias were assessed. Moreover, sensitivity analysis was also performed. Pooled prevalence of MAE was calculated using the random effects model. Results: A total of 2142 medication administrations were from observational and 681from selfreported studies were included in this systematic review and meta-analysis. The most prevalent and frequently reported type of MAEs was documentation error (52% to 87.5%) and time error (25.5% to 58.5%) respectively. Overall, the pooled magnitude of MAE was found to be 39.3% (95% CI, 29.1%-49.5%).It has no evidence of significant heterogeneity (I2 = 0%, P = 0.57) and publication bias Egger’s test (P = 0.40). Conclusion: Overall, more than one in four observed/perceived medication administrations had errors. Documentation error is the most prevalent type of error. Nurses are suggested to strengthen their focus on the rights of medication administration guide particularly, documentation of their activities need special attention.
Effectiveness of Warm Compression on Lumbo-Sacral Region in Terms of Labour Pain Intensity and Labour Outcomes among Nulliparous: an Interventional Study
Authors: Kaur Jasvir , Sheoran Poonam , Kaur Simarjeet , Sarin Jyoti
Published: April 2020

Introduction: Childbirth is a distinctive and joyous moment in every mother’s life. Giving birth is one of the powerful and vital event. This study aimed to assess and evaluate the effectiveness of warm compression (moist heat) on lumbo-sacral region in terms of labor pain intensity and labor outcomes Methods: An experimental research design was carried out on 88 nulliparous mothers with normal singleton term pregnancy (44 participants in each group) who were admitted in the labor room. Mothers who had high-risk pregnancy were excluded. Warm compression was given to nulliparous mothers of the experimental group with hydrochollator pack at 700C temperature for 20 minutes for 3 times with one-hour interval on lumbo sacral region starting from 4-5 cm of cervical dilatation. Labor pain intensity score, fetal heart rate, frequency and duration of uterine contractions were assessed before and immediately of warm compression and again after 30 minutes only labor pain was assessed. Results: Study results revealed that immediately after first, second and third time of warm compression labor pain intensity score in experimental group was lower than control group respectively ( t= 3.20; P< 0.001; t =4.45; P< 0.001; t= 6.18; P< 0.001). But no significant difference found in fetal heart rate and labor outcomes in terms of duration of labor, type of delivery, baby born alive/ not and cried immediately after birth. Conclusion: Warm compression was useful method to decrease the labour pain among nulliparous mothers in the first stage of labour and mothers reported satisfaction with intervention.
Modifying Stressors Using Betty Neuman System Modeling in Coronary Artery Bypass Graft: a Randomized Clinical Trial
Authors: Akhlaghi Elham , Babaei Sima , Abolhassani Shahla
Published: April 2020

Introduction: Coronary artery disease (CAD) is one of the major causes of mortality all over the world. In this relation, coronary artery bypass grafting (CABG) is one of the most important treatments for CAD patients. However, it leads to a lot of stress in the patient. The aim of this study was to use the Neuman model to moderate the stressors in patients undergoing coronary artery bypass graft. Methods: This study was a randomized clinical trial of two groups performed on patients admitted to the coronary artery bypass graft; and the study completed with 64 patients. The intervention was performed by the researcher according to the format of the Neuman Model, which included the investigation of the stressors, and the determination of the goals and strategies for the actions. Intrapersonal, interpersonal, and extra personal factors were evaluated using a Revised Cardiac Surgery Stressor Scale (RCSSS). The intervention program was designed by the researcher based on prevention levels using scientific resources. The collected data were analyzed in SPSS ver. 13 using descriptive and inferential statistics. Results: Before the intervention, the mean score of the stressors was not significantly different between the two groups. But immediately after the intervention and before discharging the intervention group, it was significantly less than the control group. Conclusion: Using a Neuman-based program as an effective and low-cost intervention can moderate the stressors and reduce the stress of patients awaiting coronary artery bypass graft. This theory can be a good guide to offering the roles needed to provide health services in the community.
Comparison of Using Cold Versus Regular Temperature Tube on Successful Nasogastric Intubation for Patients in Toxicology Emergency Department: a Randomized Clinical Trial
Authors: Mazlom Seyed Reza , Firouzian Ali Asghar , Norozi Heji Mohamad , Ghasemi Tousi Alireza , Marhamati Mahmoud
Published: April 2020

Introduction: In view of the contradictory results for the use of cold tubes for the purpose of enhancing nasogastric tube insertion success there is a pressing need for further research in this area. This study aimed to determine the effect of using cold versus regular temperature nasogastric tube on successful nasogastric tube insertion for patients referring to toxicology emergency department. Methods: This study is a clinical trial with two groups design of 65 patients admitted to toxicology emergency department who were divided into two groups by random allocation. Nasogastric tubes used in the intervention group had been stored in a refrigerator at 2°-8° C while the ones employed in the control group had been maintained at the room temperature of 22-28° C. Nasogastric tube insertions in both groups were done by the investigator according to standard methods. The data were analyzed using SPSS ver. 13. Results: The placement of nasogastric tube was done in the first attempt with 27 (%84.4) of the subjects in the control group and 33 (%100.0) in the intervention group. The chi-square test results showed that the frequency of the number of attempts for gastric intubation in subjects between the two groups was statistically significant. Conclusion: Cooling gastric tubes reduces the time required for nasogastric intubation. Thus, it is suggested that the gastric tubes be cooled before the application of the procedure so as to reduce complications, increase patient comfort and save nurses time.
The Effect of Regular Family Appointments on Hope of Hospitalized Depressed Patients: a Randomized Clinical Trial
Authors: Keykha Roghaieh , Rezaee Nasrin , Navidian Ali , Moshtaghi Elahe
Published: April 2020

Introduction: Depression is one of the most common psychological disorders in the world. Many depressed patients are being hospitalized in psychiatric centers every year, which can lead to hopelessness and indifference. Considering the role of family as a support system in caring for depressed patients, the goal of the present study is to assess the effects of regular family appointments on the hope of hospitalized depressed patients. Methods: This was a randomized clinical trial on 70 hospitalized depressed patients in the Baharan psychiatric hospital of Zahedan. Block Randomization was used to categorize the participants continuously into two groups intervention (n=35) and control groups (n=35). The data collection tools were demographic characteristics questionnaire and Schneider hope scale. The patients in the interventions group received 6 sessions of regular family appointments with first- degree relatives. The control group received freely and without any planning appointments. Hope level was measured and compared before and after the intervention for two groups. The data were analyzed by SPSS using the chi-square test, the independent t-test and the paired ttest. Results: The results showed that both groups were homogeneous in terms of sociodemographic differences. The hope scores of patients in the intervention group significantly increased compared to those of the control group. Conclusion: Encouraging family cooperation and using patient's choice in selecting visitors is recommended.
The Effect of Pelvic Floor Muscle Strengthening Exercise on Urinary Incontinence and Quality of Life in Patients after Prostatectomy: a Randomized Clinical Trial
Authors: Jalalinia Seyedeh Fatemeh , Raei Majid , Naseri-Salahshour Vahid , Varaei Shokoh
Published: April 2020

Introduction: Urinary incontinence is a common problem after Prostatectomy that affects patients’ life. Nurses can assist patients in improving urinary problems. This study aimed to assess the effects of pelvic floor muscle exercises on urinary incontinence and the quality of life in patients after Prostatectomy. Methods: This randomized clinical trial was performed on 60 patients with suprapubic prostatectomy and urinary incontinence who had referred to urology department of Vali-e-Asr Hospital in Tehran. The subjects were selected and randomly divided into control and intervention groups. The control and intervention groups received standard care and pelvic floor muscles exercises after surgery, respectively. The data were gathered in the course of seven days; one, two and three months after surgery, using three questionnaires and a check list for the evaluation of urinary incontinence and assessing Quality of Life. The data were then analyzed, using SPSS ver.13, and statistical tests such as t-test, ANOVA and Chi- square. Results: The quality of life and urinary incontinence score before intervention were not significant between two groups. The findings showed that there was a statistically significant difference between two groups in the average scores of urinary incontinence and the quality of life after intervention. Conclusion: Pelvic muscles exercises reduced urinary incontinence and enhanced quality of life. It’s recommended as a non-pharmacologic, non-invasive way to control urinary incontinence. Patients with adequate cognitive and mental abilities can easily be trained on pelvic floor muscle exercises.
The Effect of Health Literacy Counselling on Self-Care in Women after Mastectomy: a Randomized Clinical Trial
Authors: Rastegar Masoume , Mahmoodi Zohreh , Esmaelzadeh  Saeieh Sara , Sharifi Nasibeh , Kabir Kourosh
Published: April 2020

Introduction: Breast cancer has a high prevalence, constituting a major cause of mortality in women around the world. Health literacy has a vital role in the self-care of chronic diseases such as cancer and is an essential element in the ability of each person to engage with health promotion. The aim of this study was to determine effect of health literacy counselling on selfcare in women after mastectomy. Methods: This study is a randomized, controlled, clinical trial carried out on 72 women with breast cancer after mastectomy in Fars province. The eligible women entered the study using convenience sampling and were then divided into an intervention and a control group through randomized blocks of four. Health literacy questionnaire and self-care questionnaire were distributed among the participants before, immediately after and three weeks following the intervention. Data analysis was performed in SPSS ver.13. Results: The results showed no significant differences between the two groups in terms of their health literacy and self-care scores before the intervention (P=0.299 and 0.059). A comparison of the mean values showed a greater increase in the mean score of health literacy and score of selfcare immediately and three weeks after the intervention in the intervention group compared to the control group. Also, the mean score of the dimensions of self-care in chemotherapy increased over time in the intervention group. Conclusion: The findings of this study confirm the higher effectiveness of counseling with a health literacy approach on overall self-care in chemotherapy and all its dimensions.