bluuebunny/crossref_metadata_2025 huggingface dataset:
Business Intelligence Dashboards for Patient Safety and Quality: A Narrative Literature Review
Authors: Davy Amirav , Borycki Elizabeth M.
Published: June 2022

Business Intelligence (BI) dashboards are interactive data visualization displays identifying key patient quality and safety trends and metrics. Yet, it remains unclear whether dashboards are impacting clinical care for desired organizational outcomes. In this paper we summarize the positive and negative impacts of dashboards on safety and quality from the literature and those insights are used to develop a dashboard checklist tool. The research involved 3 phases. In Phase 1 a narrative literature review used “Dashboards AND (“Patient Safety” OR “Quality”)” as primary search terms. In Phase 2, A SWOT (strengths, weaknesses, opportunities, threats) analysis was conducted based on the findings from the previous phase. Strengths and opportunities included focusing on metrics, clear goals, routine data review processes, transparency, quality improvement interventions and centralized monitoring. Weaknesses and threats included usability issues, cultural barriers, wrong metrics, tunnel vision and siloed development. Phase 3 involves translating the SWOT analysis to a checklist for evidence informed dashboard development and deployment.
Teamwork and Patient Safety in Intensive Care Units: Challenges and Opportunities
Authors: Chen You , Gong Yang
Published: June 2022

Intensive Care Units (ICUs) are recognized as a susceptible area to potential errors resulting in adverse outcomes. Healthcare professionals are multi-tasking, information-overloaded, and often with an interruptive workflow in ICUs. Such a stressful work environment poses challenges to reach a shared mental model in clinical practice, which leads to ineffective communication and reduces their awareness of potential safety risks. Despite data sources or materials supporting patient safety and team training being available, little research has been conducted to measure teamwork in clinical practice and to detect inefficient communication factors. The advent of telehealth provides an opportunity for remote video watchers to observe the entire process of patient care and related team activities. The potential application of video analyzing algorithms to video recordings can detect safety risks retrospectively. This article presents major teamwork and patient safety challenges in ICUs, and the opportunities of utilizing available data and telehealth including video recordings in future patient safety and teamwork research.
Designing a Cloud-Based System for Affordable Cyberinfrastructure to Support Software-Based Research
Authors: Anderson Blake , Cameron Jason , Jefferson Urmeka , Reeder Blaine
Published: June 2022

Interest in cloud-based cyberinfrastructure among higher-education institutions is growing rapidly, driven by needs to realize cost savings and access enhanced computing resources. Through a nonprofit entity, we have created a platform that provides hosting and software support services enabling researchers to responsibly build on cloud technologies. However, there are technical, logistic, and administrative challenges if this platform is to support all types of research. Software-enhanced research is distinctly different from industry applications, typically characterized by needs for lower reduced availability, greater flexibility, and fewer resources for upkeep costs. We describe a swarm environment specifically designed for research in academic settings and our experience developing an operating model for sustainable cyberinfrastructure. We also present three case studies illustrating the types of applications supported by the cyberinfrastructure and explore techniques that address specific application needs. Our findings demonstrate safer, faster, cheaper cloud services by recognizing the intrinsic properties of academic research environments.
Latent Linguistic Motifs in Social Media Postings Resisting COVID-19 Misinformation
Authors: Singh Tavleen , Olivares Sofia , Myneni Sahiti
Published: June 2022

Social media has become a predominant source of information for many health care consumers. However, false and misleading information is a pervasive problem in this context. Specifically, health-related misinformation has become a significant public health challenge, impeding the effectiveness of public health awareness campaigns and resulting in suboptimal responsiveness to the communication of legitimate risk-related information. Little is known about the mechanisms driving the seeding and spreading of such information. In this paper, we specifically examine COVID-19 tweets which attempt to correct misinformation. We employ a mixed-methods approach comprising qualitative coding, deep learning classification, and computerized text analysis to understand the manifestation of speech acts and other linguistic variables. Results indicate significant differences in linguistic variables (e.g., positive emotion, tone, authenticity) of corrective tweets and their dissemination level. Our deep learning classifier has a macro average performance of 0.82. Implications for effective and persuasive misinformation correction efforts are discussed.
Text Classification Model Explainability for Keyword Extraction – Towards Keyword-Based Summarization of Nursing Care Episodes
Authors: Reunamo Akseli , Peltonen Laura-Maria , Mustonen Reetta , Saari Minttu , Salakoski Tapio , Salanterä Sanna , Moen Hans
Published: June 2022

Tools to automate the summarization of nursing entries in electronic health records (EHR) have the potential to support healthcare professionals to obtain a rapid overview of a patient’s situation when time is limited. This study explores a keyword-based text summarization method for the nursing text that is based on machine learning model explainability for text classification models. This study aims to extract keywords and phrases that provide an intuitive overview of the content in multiple nursing entries in EHRs written during individual patients’ care episodes. The proposed keyword extraction method is used to generate keyword summaries from 40 patients’ care episodes and its performance is compared to a baseline method based on word embeddings combined with the PageRank method. The two methods were assessed with manual evaluation by three domain experts. The results indicate that it is possible to generate representative keyword summaries from nursing entries in EHRs and our method outperformed the baseline method.
Automatic Diagnosis of Diabetic Retinopathy from Fundus Images Using Neuro-Evolutionary Algorithms
Authors: Aquino-Brítez Diego , Gómez Jordan Ayala , Noguera José Luis Vázquez , García-Torres Miguel , Román Julio César Mello , Gardel-Sotomayor Pedro E. , Benitez Veronica Elisa Castillo , Matto Ingrid Castro , Pinto-Roa Diego P. , Facon Jaques , Grillo Sebastian Alberto
Published: June 2022

Due to the presence of high glucose levels, diabetes mellitus (DM) is a widespread disease that can damage blood vessels in the retina and lead to loss of the visual system. To combat this disease, called Diabetic Retinopathy (DR), retinography, using images of the fundus of the retina, is the most used method for the diagnosis of Diabetic Retinopathy. The Deep Learning (DL) area achieved high performance for the classification of retinal images and even achieved almost the same human performance in diagnostic tasks. However, the performance of DL architectures is highly dependent on the optimal configuration of the hyperparameters. In this article, we propose the use of Neuroevolutionary Algorithms to optimize the hyperparameters corresponding to the DL model for the diagnosis of DR. The results obtained prove that the proposed method outperforms the results obtained by the classical approach.
Tracing COVID-19 Infection Chains Within Healthcare Institutions – Another Brick in the Wall Against SARS-CoV-2
Authors: Wulff Antje ,   HiGHmed Infection Control Study Group 1 List of study group can be found at the end of the article., Biermann Pascal , von Landesberger Tatiana , Baumgartl Tom , Schmidt Christoph , Alhaji Alan Yussef , Schick Kristina , Waldstein Paul , Zhu Yufei , Krefting Dagmar , Scheithauer Simone , Marschollek Michael
Published: June 2022

Early anticipation of COVID-19 infection chains within hospitals is of high importance for initiating suitable measures at the right time. Infection control specialists can be supported by application systems able of consolidating and analyzing heterogeneous, up-to-now non-standardized and distributed data needed for tracking COVID-19 infections and infected patients’ hospital contacts. We developed a system, Co-Surv-SmICS, assisting in infection chain detection, in an open and standards-based way to ensure reusability of the system across institutions. Data is modelled in alignment to various national modelling initiatives and consensus data definitions, queried in a standardized way by the use of OpenEHR as information modelling standard and its associated model-based query language, analyzed and interactively visualized in the application. A first version has been published and will be enhanced with further features and evaluated in detail with regard to its potentials to support specialists during their work against SARS-CoV-2.
Vaccine Rollout and Shift in Public Sentiment: Twitter-Based Surveillance Study
Authors: Shah Uzair , Biswas Md Rafiul , Dolaat Khalid Mahmoud Mohammed , Househ Mowafa , Shah Zubair , Alam Tanvir
Published: June 2022

This study aims to find out the variation of Twitter users’ sentiment before and after the COVID-19 vaccine rollout. We analyzed all COVID-19 related tweets posted on Twitter within two timeframes: September 2020 (T1) and March 2021 (T2). A total of 3 million tweets from over 132 thousand users were analyzed. We then categorized the users into two groups whose overall sentiment shifted positively or negatively from T1 to T2. Our analysis showed that 27% of users’ sentiment shifted from T1 to T2 positively and the users were more confident about vaccine safety and efficacy. Users reported positive sentiments about travelling and the easing of lockdown measures. Also, 20.4% of the users’ sentiment shifted negatively from T1 to T2. This group of Twitter users were more concerned about the adverse side effects of the vaccine, the pace of vaccine development as well as the emerging novel coronavirus variants. Interestingly, over half of the users’ overall sentiment remained the same in both periods of T1 and T2, indicating indifference about vaccine rollout. We believe that our analysis will support the exploration of public reaction to COVID-19 vaccine rollout and assess policy makers’ decision to combat the pandemic.
Linking Tweets Towards Geo-Localized Policies: COVID-19 Perspective
Authors: Jony Sheikh Saifur Rahman , Shahriyar Rifat , Rahman M. Saifur , Rahman M. Sohel , Alam Tanvir
Published: June 2022

COVID-19 pandemic is taking a toll on the social, economic, and psychological well-being of people. During this pandemic period, people have utilized social media platforms (e.g., Twitter) to communicate with each other and share their concerns and updates. In this study, we analyzed nearly 25M COVID-19 related tweets generated from 20 different countries and 28 states of USA over a month. We leveraged sentiment analysis and topic modeling over this collection and clustered different geolocations based on their sentiment. Our analysis identified 3 geo-clusters (country- and US state-based) based on public sentiment and discovered 15 topics that could be summarized under three main themes: government actions, medical issues, and people’s mood during the home quarantine. The proposed computational pipeline has adequately captured the Twitter population’s emotion and sentiment, which could be linked to government/policy makers’ decisions and actions (or lack thereof). We believe that our analysis pipeline could be instrumental for the policymakers in sensing the public emotion/support with respect to the interventions/actions taken, for example, by the government instrumentality.
Developing a Siamese Network for UTIs Risk Prediction in Immobile Patients Undergoing Stroke
Authors: Xu Zidu , Zhu Chen , Gu Yaowen , Zheng Si , Sun Xiangyu , Cao Jing , Wu Xinjuan , Li Jiao
Published: June 2022

Stroke patients tend to suffer from immobility, which increases the possibility of post-stroke complications. Urinary tract infections (UTIs) are one of the complications as an independent predictor of poor prognosis of stroke patients. However, the incidence of new UTIs onsets during hospitalization was rare in most datasets with a prevalence of 4%. This imbalanced data distribution sets obstacles to establishing an accurate prediction model. Our study aimed to develop an effective prediction model to identify UTIs risk in immobile stroke patients, and (2) to compare its prediction performance with traditional machine learning models. We tackled this problem by building a Siamese Network leveraging commonly used clinical features to identifying patients with UTIs risk. Model derivation and validation were based on a nationwide dataset including 3982 Chinese patients. Results showed that the Siamese Network performed better than traditional machine learning models in imbalanced datasets (Sensitivity: 0.810; AUC: 0.828).
Policy and Strategy for Interoperability of Digital Health in Europe
Authors: Kouroubali Angelina , Katehakis Dimitrios G.
Published: June 2022

The development of electronic services for healthcare presents challenges related to the effective cooperation of systems and stakeholders in a highly regulated environment. In order to facilitate healthcare for all at the point of need it is important to establish the necessary conditions to guide the development and implementation of digital health solutions that are interoperable by design. Interoperability in eHealth is challenging for various reasons, including the fact that different products and solutions in the market do not follow well-known standards and interoperability guidelines. The paper draws upon the global, European and national policies, strategies, and implementation initiatives to offer an integrated approach towards interoperability in healthcare ecosystems. The authors provide guidelines and recommendations to support interoperability at legal, organizational, semantic, and technical levels.
Impact of COVID-19 on dental practice and anxiety among increased risk group dentists: A cross-sectional study
Authors: Villarim Natália Lins de Souza , Maciel Panmella Pereira , Cavalcanti Yuri Wanderley , Ribeiro Isabella Lima Arrais , Perez Danyel Elias da Cruz , Martelli-Junior Hercílio , Machado Renato Assis , Bonan Paulo Rogério Ferreti
Published: June 2022

BACKGROUND: The likelihood of infection with SARS-COV-2 (COVID-19) in the dental office is considered high. OBJECTIVES: Assessing the impact of the COVID-19 on dental practices and anxiety levels in risk group Brazilian dentists. METHODS: A cross-sectional study was performed using an online questionnaire. The data obtained were analyzed using the IBM SPSS 25.0 software (Pearson’s Chi-square association test, multivariate logistic regression, and Poisson multiple regression), with subsequent calculation of the odds ratio at a 95% confidence interval, with a significance level of 5%. RESULTS: Responses of 578 dentists distributed in all regions of Brazil were collected. Most of the dentists were female, with an average age of 35. Of the participants, 23.4% were part of the increased risk group for COVID-19. The professionals who belonged to the increased risk group had a greater chance of not feeling prepared to perform consultations (OR = 1.67) and were not performing any procedures during the pandemic (OR = 2.03). Belonging to the increased risk group did not influence anxiety levels among the dentists. The factors associated with increased anxiety were being female, being younger, working in the southeastern region of the country, being afraid of contracting COVID-19 while working, and being concerned for one’s professional future. CONCLUSIONS: The pandemic has had a negative impact on the professional practice of individuals at risk, but the level of anxiety was like professionals who were not part of the increased risk group for COVID-19.
Artifact-Assisted multi-level and multi-scale feature fusion attention network for low-dose CT denoising
Authors: Cui Xueying , Guo Yingting , Zhang Xiong , Shangguan Hong , Liu Bin , Wang Anhong
Published: June 2022

BACKGROUND AND OBJECTIVE: Since low-dose computed tomography (LDCT) images typically have higher noise that may affect accuracy of disease diagnosis, the objective of this study is to develop and evaluate a new artifact-assisted feature fusion attention (AAFFA) network to extract and reduce image artifact and noise in LDCT images. METHODS: In AAFFA network, a feature fusion attention block is constructed for local multi-scale artifact feature extraction and progressive fusion from coarse to fine. A multi-level fusion architecture based on skip connection and attention modules is also introduced for artifact feature extraction. Specifically, long-range skip connections are used to enhance and fuse artifact features with different depth levels. Then, the fused shallower features enter channel attention for better extraction of artifact features, and the fused deeper features are sent into pixel attention for focusing on the artifact pixel information. Besides, an artifact channel is designed to provide rich artifact features and guide the extraction of noise and artifact features. The AAPM LDCT Challenge dataset is used to train and test the network. The performance is evaluated by using both visual observation and quantitative metrics including peak signal-noise-ratio (PSNR), structural similarity index (SSIM) and visual information fidelity (VIF). RESULTS: Using AAFFA network improves the averaged PSNR/SSIM/VIF values of AAPM LDCT images from 43.4961, 0.9595, 0.3926 to 48.2513, 0.9859, 0.4589, respectively. CONCLUSIONS: The proposed AAFFA network is able to effectively reduce noise and artifacts while preserving object edges. Assessment of visual quality and quantitative index demonstrates the significant improvement compared with other image denoising methods.
Iterative signal retrieval for X-ray grating interferometry with dual-shot
Authors: Guo Peiyuan , Wang Zhentian , Wu Chengpeng , Zhu Xiaohua , Zhang Li
Published: June 2022

BACKGROUND: X-ray grating interferometry normally requires multiple steps and exposures, causing a prolonged imaging time. There is motivation to use fewer steps to reduce scanning time and complexity, while keeping fidelity of the retrieved signals. OBJECTIVE: We propose an iterative signal retrieval method, extracting attenuation, dark field contrast (DFC), and differential phase contrast (DPC) signals from two X-ray exposures. METHODS: Two shots were captured at G2 grating positions with difference of 1/4 grating period. The algorithm consists of two stages. At the first stage, amplitude of sample phase stepping curve retrieved by virtual phase stepping (VPS) method, visibility and local phase of background phase stepping curve are used to limit the results to the proximity of the ground truth. After the second stage, three high-quality parameters, amplitude, visibility, and local phase, are retrieved through finetuning, and three signals are calculated. Simulated and real-sample experiments were conducted to validate this method. RESULTS: We used standard phase stepping result as benchmark and calculated structural similarity (SSIM) and peak signal-to-noise ratio (PSNR) between benchmark and parameters retrieved by our dual-shot method and virtual phase stepping (VPS) method. For both simulated and real-sample experiments, the SSIM and PSNR value of dual-shot method are higher than those of VPS method. For real-sample method, we also conducted a three-step PS, and the SSIM and PSNR value of dual-shot method are slightly lower than those of three-step PS. CONCLUSION: Using our dual-shot method demonstrates higher performance than other single-shot method in retrieving high-quality signals, and it also reduces radiation dose and time.
RESTORATION OF DEPRESSIVE URBAN SPACE THROUGH THE USE OF SYSTEM-FORMING ELEMENTS OF LANDSCAPE DESIGN
Authors: Rudenko Alina , Ladigina Irina
Published: June 2022

The system-forming elements of landscape design on the example of street sculpture are considered.
The main examples of the use of street sculpture are presented.
The world experience of forming street sculpture objects as system-forming elements of landscape design and their application for the restoration of depressed spaces in the structure of the post-industrial city is analyzed.
Their system-forming features and typological features in the conditions of the post-industrial city are determined.
The traditional subsystem of street sculpture in the structure of the city consists of two main elements: decorative garden and monumental public spaces.
Decorative garden and park sculpture by means of formation is divided into genre sculpture, allegorical and symbolic.
The formation of new structural elements of public purpose in the city - subcenters of development, also involves the creation of a sculptural exhibition in the open air as an integral part of a single architectural ensemble or the creation of seasonal sculptural exhibitions.
Thus, street sculpture shapes the face of the modern city, making it more attractive and comfortable to live by creating new structural elements, point inclusions, restoring depressed urban spaces.
HISTORICAL AND ARCHITECTURAL ASPECTS OF THE CITY ORGANIZATION
Authors: Topal Svitlana , Oleksandra Synhayivska
Published: June 2022

The article considers the importance of the impact of cultural heritage as a big resource and part of the urban ecosystem is considered; taking into account historical and architectural aspects in the formation of the living environment, creating favorable opportunities for improving the quality of historic cities and urban areas based on their historical features. Areas of historic buildings as a particularly valuable and fragile part of the city deserve careful treatment and careful attention. When they implement a set of measures to improve the quality of the living environment, they need to improve the functional and planning organization of the territory and buildings, creating more comfortable microclimatic, sanitary and aesthetic conditions. Balancing public open spaces and dense buildings, taking into account the needs of residents in service facilities, regulating traffic to minimize congestion and harmful effects, encouraging pedestrian traffic, developing clean public transport, increasing energy efficiency and reducing pollution will contribute to environmental pollution city while preserving the living continuity of its history. Finding a balance between the housing function, which is gradually being supplanted in the historical quarters by the growing public, while preserving the qualities of historically valuable planning structure, buildings and structures, landscape to ensure a full environment is an important task of modern urban planning. The concept of urban development of a historic city is characterized by respect for historical values, structures and layers of different eras, spatial organization and traditional morphology; should include an analysis of archaeological, historical, architectural, technical, sociological, economic values, covering tangible and intangible elements. Preserving the identity of a place without obstacles to its evolution in order to develop the living environment is based on current standards and restrictions, legal, social, financial and economic factors.
THE CONCEPT OF TRANSITION TO CLEAN AIR URBANIZED TERRITORIES
Authors: Tatarchenko Halyna , Demin Nicolay
Published: June 2022

The article deals with the problems associated with the development of the transport industry, environmental protection and comfortable human existence, progress and the environment. It is noted that the passenger turnover of road transport has been growing over the past five years; speed properties are of paramount importance when performing transport and technological operations in a short time in various operating conditions and have the greatest impact on performance; at worst, carburetor engines have high levels of carbon oxides and diesel engines have high levels of sulfur oxide and soot. It is determined that the objects of territorial planning continue to develop in a dangerous mode, which allows us to speak about the lack of a sufficiently effective concept of architectural and urban planning to ensure the environmental safety of the airspace of urban areas, therefore it is proposed to consider the concept of transition to clean air in urban areas within which an infological model of the concept of transition to clean air of urbanized territories, which determines the main entities, their parameters and connections.
Simulation the effectiveness of heat recovery of the regenerative ventilator using different approaches
Authors: Vakulenko D.  , Mileikovskyi V.
Published: June 2022

Today buildings should be designed for energy efficiency class not less than C. This requires ventilation with heat recovery. On the market, there are different compact heat recovery ventilation units for decentralized ventilation. Regenerative ventilators represent a promising area of effective ventilation with exhaust air heat recovery. They operate cyclically for the inlet and outlet of air. These kinds of ventilators should work in a blocked pair(s) – one for input and one for output in each pair. If not, the effectiveness will decrease. A mathematical model of the ceramic heat regenerator in the regenerative ventilator “Twin Fresh” by Vents has been created to improve the efficiency of its operation. In previous works, on the basis of two different approaches, the operation of the heat regenerator was simulated. The first one uses M. Mikheev’s formula for the Nusselt number. The second one is computational fluid dynamic simulation by SolidWorks Flow Simulation. The efficiency coefficients obtained as a result of the simulation had a significant difference – up to 66.5 %. The aim of the work is to find alternative methods for adequately determining the efficiency of the ventilator. A mathematical simulation was performed using a different formula from “Novyi spravochnik khimika i tekhnologa. Protsessy i aparaty khimicheskikh tekhnologii”. This formula takes into account the Grashof number. Values obtained are significantly different from both previous ones – up to two times. There is no information in the literature about the experimental conditions for determining the Nusselt number, which was used in the simulation. Therefore, we can’t assume, what approach is closer to the conditions of the ceramic regenerator. There is a need to conduct experimental studies to determine the efficiency of the regenerative heat exchanger.
Pencegahan Stunting Melalui Parenting Education Di Desa Pakel Bareng
Authors: Rukhil Amania  , Muhammad Nur Hidayat  , Izatul Hamidah  , Endah Wahyuningsih  , Asnun Parwanti
Published: June 2022

Stunting adalah kondisi gagal dalam pertumbuhan pada anak balita dibawah 5 tahun, hal ini diakibatkan karena kekurangan gizi sehingga anak terlalu pendek untuk usianya. Tujuan dari kegiatan parenting yang dilakukan di desa pakel merupakan upaya pendidikan yang dilakukan untuk meningkatkan pengetahuan serta keterampilan kepada orang tua untuk mengasuh anak dengan baik. Pada tahap analisis yang dilakukan di posyandu desa pakel, terdapat banyak anak yang mengalami stunting. Hal ini dikarenakan kurangnya pengetahuan orang tua tentang pentingnya gizi yang harus diberikan kepada anak. Pada penelitian ini menghasilkan deskripsi tentang upaya pemahaman kepada orang tua tentang pentingnya pemberian gizi kepada anak. Team peneliti memberikan salah satu contoh makanan penunjung gizi yaitu pembuatan dessert mangga. Para orang tua juga diberikan pelatihan dan pemahaman untuk berkreasi menghasilkan makanan bergizi dengan menggunakan bahan yang ada di rumah, seperti susu, roti, dan makanan yang bergizi lainnya.
PENGGUNAAN EXTREME PROGRAMMING UNTUK RANCANG BANGUN APLIKASI SEKRETARIAT PAROKI (STUDI KASUS PADA GEREJA KATOLIK SANTO PETRUS PALEMBANG)
Authors: Wibagso Stefanus Setyo
Published: June 2022

Sebagai bagian dari organisasi Gereja Katolik, sekretariat Paroki mempunyai peran penting didalam mendata informasi yang berkaitan dengan umat Paroki karena pekerjaannya sangat membantu dan mendukung tugas Pastor Paroki didalam mengelola administrasi Gereja. Dalam pelaksanaannya di Gereja Katolik Paroki Santo Petrus Palembang, petugas sekretariat menghadapi beberapa permasalahan dikarenakan aplikasi yang digunakan hanya mampu mengolah satu kegiatan saja yaitu mendokumentasikan data Sakramen Baptis. Sementara untuk pengolahan data lainnya masih dilakukan secara manual. Tujuan dari penelitian ini adalah untuk membangun sebuah aplikasi yang melengkapi kekurangan dari aplikasi yang telah ada. Untuk menghasilkan aplikasi yang dapat berjalan dengan baik dan sesuai dengan kebutuhan maka dibutuhkan metode didalam proses perancangannya. Metode Extreme Programming menjadi pilihan dalam perancangan ini dikarenakan cocok untuk digunakan dalam perancangan aplikasi berskala kecil.
Analisis Pemanfaatan Akun Bisnis Instagram dalam Peningkatan Penjualan pada Gerai XYZ.Co
Authors: Ekawati Rika Kharlina
Published: June 2022

Penelitian ini bertujuan menganalisis pemanfaatan Instagram sebagai media sosial yang saat ini menjadi salah satu media sosial yang paling banyak digunakan oleh pengguna internet di seluruh dunia. Instagram telah menambah fitur layanannya yang memungkinkan penggunanya dapat mengubah akun pribadi menjadi akun bisnis untuk layanan bagi pelaku bisnis agar dapat mempromosikan produknya. Hal ini juga yang mendasari Gerai XYZ.Co yang telah mengaktifkan fitur akun bisnis Instagram untuk dapat memasarkan produknya dan menjangkau konsumen yang lebih luas. Pemanfaatan akun bisnis melalui fitur Insight pada Instagram sangat membantu Gerai XYZ.Co untuk melihat dan memantau aktivitas dan informasi detail dari para pengikutnya, pertumbuhan follower Instagram, informasi postingan produk yang paling disukai oleh pengguna Instagram, sampai media promosi yang ditawarkan oleh Instagram dengan waktu promosi dan radius jarak konsumen yang dapat dijangkau oleh penggunanya. Dengan menggunakan metode analisis kualitatif deskriptif, diperoleh data bahwa dari pemanfaatanfitur akun bisnis Instagram ini, Gerai XYZ telah membukukan transaksi penjualan yang meningkat per periode, dimulai dari bulan Oktober 2019 sampai bulan April 2020. Hasil penelitian menunjukkan bahwa terjadi peningkatkan jumlah transaksi per periodenya yang disusul oleh penjualan yang terus mengalami kenaikan selama periode penelitian.
Study of Deformation Behavior of AISI 1025 Carbon Steel with Different Microstructures Using Metal Magnetic Memory and Acoustic Emission Testing
Authors: Singh W Sharatchandra , Mukhopadhyay CK
Published: June 2022

Studies are carried out to investigate the tensile deformation behavior of AISI-type 1025 carbon steel with different microstructures using metal magnetic memory and acoustic emission testing (AE) techniques. Seven AISI 1025 carbon steel specimens were heat treated for different microstructures and then subjected to tensile deformation until fracture. AE was conducted during tensile deformation and the deformation-induced self-magnetic leakage fields (SMLFs) were measured using a giant magneto-resistive sensor after unloading. Results reveal that SMLF signal values are influenced by microstructure and residual stress aroused due to plastic deformation. Among different specimens, SMLF signal peak amplitude is highest in the brine-quenched specimen followed by the tempered specimen, while hardness is highest in the brine-quenched specimen. SMLF signal peak amplitude and hardness are the lowest in the annealed specimen. SMLF signal is higher in tempered specimens compared to the untempered specimens. From AE measurements, it is observed that martensitic steel emits higher acoustic emissions during deformation but decreases when tempered. The acoustic emissions generated in the martensitic steel are also of higher amplitude. The results are correlated with optical micrographs and hardness measurements.
Investigating the Safety of Bee Pollen on Performance, Oxidative Stress, and Histopathological Changes in the Liver, Kidney, and Pancreas of Rats
Authors:   Department of Pharmacology, Faculty of Pharmacy, Marine Pharmaceutical Sciences Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Sistani Karampour Neda , Bagheri Mohammad Javad ,   Toxicology Department, Pharmacy faculty, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Khorsandi Laya Sadat ,   Department of Histology, Faculty of Medicine, Cellular and Molecular Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Dehghan Mohammadi Zeinab ,   Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Salehcheh Maryam ,   Department of Toxicology, Faculty of Pharmacy, Toxicology Research Center, Basic Medical Sciences Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Published: June 2022

Objective: The therapeutic effects of bee pollen have already been proven in various studies, but toxicity studies in this field are limited. Therefore, in this study, the possible toxicity effects of hydroalcoholic extract of flower pollen on liver, kidney, and pancreatic tissues of male rats are investigated. Methods: Fourteen male rats were divided into two groups of seven: the first group received 800 mg/kg hydroalcoholic extract of bee pollen, and the second group received 0.5 mL/100 g normal saline intraperitoneally for 1 day. Then, their livers, kidney, pancreas, and oxidative stress biomarkers were evaluated. In addition, pieces of liver, kidney, and pancreatic tissues were examined histopathologically. Results: Blood urea nitrogen (BUN) (P =0.0212), aspartate aminotransferase (AST) enzymes (P =0.0344), and malondialdehyde (MDA) biomarker (P =0.018) of kidney tissue were significantly decreased in the hydroalcoholic extract of bee pollen group compared to the control group. The glutathione (GSH) biomarker of kidney tissue showed a significant increase in this group compared to the control group (P =0.0031). The other evaluated parameters were not significantly different between the two groups (P> 0.05). Histopathologically, no deleterious and toxicity effects were observed in the tissues. Conclusion: Bee pollen has therapeutic properties and, as a nutrient, can be useful and effective for humans. In this study, this substance did not have toxicity effects on the liver, kidney, and pancreas and even protected vital organs in oxidative stress conditions. However, more research is needed to prove the toxicity of this valuable substance and to ensure its safety.
The Effect of Exercise on Self-Esteem and Happiness of Operating Room Students
Authors:   Department of Nursing, Faculty of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran., Noruzi Zamenjani Masoomeh , Rahzani Kobra ,   Department of Nursing, Faculty of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran., Barati Niloofar ,   Student Research Committee, Arak University of Medical Sciences, Arak, Iran., Harorani Mehdi ,   Department of Nursing, Faculty of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran., Heidari Masoud ,   Amir Kabir Hospital, Arak University of Medical Sciences, Arak, Iran., Farmahini Farahani Moloud ,   Department of Nursing, Faculty of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran.
Published: June 2022

Objective: Physical activity increases mental health, enhances feelings of worth, reduces depression, and increases mental strength. This study aimed to determine the effect of exercise on the self-esteem and happiness of operating room students. Methods: This research is a quasi-experimental study. The Participants were 80 undergraduate students in the operating room of Arak University of Medical Sciences. After obtaining written consent, the subjects were selected by convenience sampling and randomly assigned to the experimental and control groups (40 students in each group). The experimental group walked 30 minutes per day for eight weeks. The self-esteem and happiness of both groups were measured before and after the intervention using the Rosenberg self-esteem questionnaire and the Oxford happiness questionnaire. The obtained data were analyzed using an independent t test and paired t test in SPSS v.16 software. Results: The mean scores of self-esteem and happiness before the intervention in the experimental group were 3 ±4.23 and 43.08±19.01, and in the control group were 3.47±4.30 and 39.40±19.48, respectively. After the intervention, The mean scores of self-esteem and happiness were 6 ± 3.85 and 52.16±19.28 in the experimental group and 3.97±4.75 and 41.05±18.80 in the control group. The results showed a significant difference in the experimental group (P <0.05), while in the control group, no significant difference was observed before and after the intervention (P> 0.05). Conclusion: Exercise can play an influential role in increasing students’ self-esteem and happiness, thereby promoting their mental health and improving their quality of life. Therefore, it is recommended that sports programs be held at the university to promote happiness and increase students’ self-esteem.
Transformation of Private Space into Social Space in Doris Lessing’s “Getting off the Altitude"
Authors: GÜVENÇ Özge
Published: June 2022

Doris Lessing’s two collections of African Stories – This Was the Old Chief’s Country (1952) and The Sun Between Their Feet (1973) – exemplify the theme of colonialism displaying the hegemony of the whites over the blacks. The stories in the former collection are mainly about colonial issues, while the ones in the latter cover a variety of subjects such as racial and gender conflicts, power of nature and effects of the Second World War. Since geographical features of Africa have a significant role in shaping social and cultural values, the interconnectedness between space and gender is also a fundemental issue in these stories. “Getting off the Altitude” from her collection, The Sun Between Their Feet, recounts the story of how white settler community in Central Africa deals with the problem of alienation due to physical characteristics of the area. The spatially enclosed structure of the society on one hand, preserves the social norms and values but at the same time leads to non-conformist relationships between the genders. The impact of the altitude in the district is also observed in the way the society is structured and gender relations are performed. With respect to this, the story shows not only how space is perceived as a physical reality where everyday life takes place but also how it is conceived as a space of thoughts which defines relations and confines people into certain places. What differentiates “Getting off the Altitude” from the other stories in the collection is related to the multiplicity of male and female characters and their lived experiences, which pave the way for new modes of thinking about space. This study, through its portrayal of spatial practices and everyday experiences of various characters, discusses to what extent they are able to appropriate and configure spaces they occupy in different ways and how they transform the private sphere of a house from its restrictive conceptualisation to alternative ones within the framework of Henri Lefebvre’s and Edward Soja’s space theories.
Fuzûlî’yi Heidegger ile Okumak: Varlık ve Yokluk arasında Şiirsel Dil
Authors: KARAMERCAN Onur
Published: June 2022

Bu makalenin temel amacı, 16.yy. Azerî sahası Divan şairlerinden Fuzûlî’nin şiir dünyasını 20. yy. Alman filozofu Martin Heidegger’in varlık düşüncesinden hareketle ele alarak dil, varlık ve yokluk kavramları arasında bulunan ilişkiyi incelemektir. Heidegger’in felsefi metinleri ve Fuzûlî’nin gazellerinde, varlık ve yokluk arasındaki bağlantının insanın sonlu bir varoluşa sahip olması bağlamında benzer bir şekilde temellendirildiği görülmektedir. Üç temel bölümden oluşan makalenin birinci kısmında Heidegger’in erken ve geç dönem düşüncesindeki ontolojik bütünlük ortaya konmakta, böylelikle varlık ve yokluk düşüncesinin şiirsel dil ile olan topolojik bağlantısı irdelenmektedir. İkinci bölümde Fuzûlî’nin şiir dünyası tasavvuf düşüncesi ve rindane tarzın temel kavramları ile açıklanmakta, Fuzûlî’nin bu kaynaklardan nasıl beslendiği ifade edilmektedir. Üçüncü kısımda Fuzûlî’nin seçme gazellerinden beyitlerin Heidegger düşüncesi bağlamında bir yorumu sunulmakta, buna göre varlık ve yokluk arasındaki bağ bir karşıtlıktan ziyade birbirine geçişlere izin veren bir karşılıklı olma kavramı çerçevesinde izah edilmektedir. Sonuç kısmında tartışıldığı üzere, Heidegger ile Fuzûlî için insanın sonlu varlığının şairane bir varoluş tarzıyla tecrübe edilebileceği fikri ortaktır. Fuzûlî’nin şiiri tasavvuf geleneğinde görülen ontoteolojik etkiler sergilemekteyse de, şairin maddî çokluklar dünyasından uzaklaştığı ölçüde yok olarak Varlığın kendisine ulaşabileceğini düşünmesiyle, Fuzûlî kendine özgü bir varlık anlayışı yaratmayı başarmıştır. Heidegger’de bu tür mistik bir varlık anlayışı olup olmadığı şüphelidir. Öte yandan her iki düşünür için de sonlu bir var olmanın daha derin bir tecrübesi varlık ile yokluk arasındaki karşılıklı harekete konumlanmaktadır. Var olmanın ne anlama geldiği, ölüme-doğru-olmakta, yani yok oluş esnasında ortaya çıkarak kendine şiirsel bir mesken bulur. Buna göre, var olmanın nasıl yok olmaya doğru olmak anlamına geldiği ve bunun dilde ne anlamda şiirsel bir tecrübe olarak belirdiğini Fuzûlî’nin gazellerinde incelemek, Fuzûlî’nin fikir dünyasının daha derinlemesine anlaşılmasına izin vermiştir.
Aristoteles’te İnsan Doğası, Etik ve Siyaset İlişkisi
Authors: KOCAMAN Ayşe Çiğdem
Published: June 2022

Aristoteles’e göre, insanın doğasını gerçekleştirebilmesi, ereğine ulaşabilmesi, yani gerçek anlamda “insan” olabilmesi, akla ve erdeme uygun eylemesiyle mümkündür. Ancak bir insanın akla uygun erdemli eylemlerde bulunarak doğasını gerçekleştirebilmesi, bireysel yapısal özelliklere bağlı olduğu kadar toplumsal bakımdan belirli birtakım koşulların bir araya gelmesine de bağlıdır. Bu toplumsal koşullar bütününü yaratmak ise siyasetin, siyasal toplumun, yani devletin temel amacı ve görevidir. Bu nedenle siyaset ve devlet, insanın doğasıyla, eidosunu gerçekleştirmesiyle doğrudan ilgilidir. Ancak devletin her türden yönetim biçimi, insanın doğasını gerçekleştirebilmesi için gerekli olan uygun koşulları ve ortamı yaratamamaktadır. Başka bir deyişle, insanın doğasını gerçekleştirmesiyle siyasetin niteliği arasında koparılması olanaksız bir bağ bulunmaktadır ve bu bağ her türden toplumsal düzende ya da yönetim şeklinde kurulamamaktadır. Bu bağın kurulabilmesi ve insanların doğalarını gerçekleştirebilecekleri bir siyasal toplumun, devletin ortaya çıkabilmesi için etik ve siyaseti birbirinden ayrı düşünmemek hayati bir öneme sahiptir. Dolayısıyla bu çalışma, Aristoteles’in düşüncelerinden hareketle, insanın doğasını gerçekleştirebilmesinin, etik olandan, siyasetten bağımsız düşünülemeyeceğine dikkat çekmeyi amaçlamaktadır. Bu bağlamda Aristoteles’in düşüncelerine kulak vermek, günümüzde çoğunlukla göz ardı edilen insan doğası, etik, siyaset ilişkisini hatırlamamıza ve etik olana neden kişisel olduğu kadar toplumsal anlamda da ihtiyacımız olduğunu görmemize olanak sağlaması bakımından önemlidir.
Anthony Neilson’ın Realism ve Narrative Adlı Oyunlarında Melezlik
Authors: ŞENTÜRK Gamze
Published: June 2022

Yazar, yönetmen, oyuncular, dekor ve kostüm sanatçıları, müzisyenler, dansçılar, ışıklandırma uzmanı; kısaca sahne önü ve sahne arkası teknik ekibin ortak çabalarının bir ürünü olan tiyatro, özü gereği melez bir sanattır. Tiyatro, doğuşundan bugüne türler ve sanatlar arası alışverişlerde bulunarak ve her çağın teknolojisinden faydalanarak medyalar arası ve melez bir sanat olma özelliğini korumaktadır. Ancak tiyatronun melezliği neredeyse yirminci yüzyıla kadar ciddi bir araştırma ve tartışma konusu yapılmamıştır. Son on beş yılda ise Hans-Thies Lehmann, Patrice Pavis, Gerda Poschmann, Andy Lavender, Jean Pierre Sarrazac ve Erika Fischer-Lichte gibi isimlerin öncülüğünde tiyatronun melezliğinin ve üretimlerde öne çıkan melezlemelerin tiyatro ve performans çalışmalarında kuramsal olarak çalışılmaya ve tartışılmaya başlandığı görülmektedir. Bu çalışma tiyatronun melez doğasını geçmiş ve günümüz perspektifinden İngiliz tiyatrosunda önemli bir yere sahip olan oyun yazarı Anthony Neilson’ın Realism/Gerçekçilik (2006) ve Narrative/Anlatı (2013) adlı iki oyunu üzerinden örneklerle açıklanmayı amaçlamaktadır.
Desarrollo histórico de la Licenciatura en Ciencias de la Computación en la UMT-UADY: Un estudio de caso
Authors: Aguilar Vera R. , Narváez Díaz L. , Chí Pech V. , Díaz Mendoza J.
Published: June 2022

Los autores presentan el caso de la Licenciatura en Ciencias de la Computación de la Universidad Autónoma de Yucatán, en su oferta a la zona oriente del Estado de Yucatán, en particular, en la Unidad Multidisciplinaria ubicada en la ciudad de Tizimín (UMT). Se ofrece información sobre los planes de estudio, así como de las evaluaciones externas a las que fue sometido el programa curricular en el período de 2000 a 2015; se incluyen datos estadísticos sobre el ingreso, titulación y modalidades de titulación preferidas por los egresados. En cuanto al desempeño de los egresados, se presentan los datos históricos en el Examen General de Egreso administrado por el CENEVAL. Finalmente, los autores comentan algunas reflexiones sobre la pertinencia e impacto del programa durante su operación en la UMT.

The authors present the case of the Bachelor of Computer Science of the Autonomous University of Yucatan, in its offer to the eastern region of the State of Yucatan, particularly, in the Multidisciplinary Unit located in Tizimín City (UMT). Information is provided on the curricula, as well as on the external evaluations to which the curricular program was submitted during the period from 2000 to 2015; statistical data are included on the income, qualification and modalities of qualifications preferred by graduate. Regarding the performance of graduates, historical data are presented in the General Exit Exam administered by CENEVAL. Finally, the authors comment on some reflections on the relevance and impact of the program during its operation in the UMT.
Performance Characteristics in Textile Application of Photochromic Dye Capsules
Authors: MORSÜMBÜL Seniha , AKÇAKOCA KUMBASAR Emriye Perrin
Published: June 2022

Photochromic dyes which change their color with UV light, are water insoluble and sensitive to the environmental conditions. In order to be able to use these dyes in textile industry, the dyes are encapsulated with a polymer, and then the encapsulated photochromic dyes are applied onto the textile materials. The encapsulated photochromic dyes can show different properties according to the photochromic dye and polymer type, capsule size and the encapsulation method applied. In this study, the performance characteristics of different commercial photochromic dye capsules were investigated after the application onto cotton fabrics by pad-cure process. It was observed that the fabrics still provide UV protection at 50 + UPF level even after 10 washing cycles. The photochromic fabrics lost their color and UV protective properties at most 16% and 4%, respectively after 20 UV on-off cycles.