bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the Depression Level among Medical Students at University of Baghdad, College of Medicine
Authors: Jaber Zainab Ali , Salman Raghad Tawfeeq , Abid Al Wahab Dania Yasser , Habib Manal Adnan , Hussein Israa Ali
Published: January 2022

Background: Depression, a state of low mood and aversion to activity, can affect people's thoughts, behavior, tendencies, feelings, and sense of well-being. It can either be short-term or long-term, depending on the severity of the person's condition. Risk factors include personal or family history of depression, major life changes, trauma, stress, certain physical illnesses, and medications.

Objective: This study investigates the prevalence of depression among medical students at the University of Baghdad, college of medicine in Iraq, and the association between some variables and depression.

Subjects and Methods: A cross-sectional study design with a convenience sampling method was conducted. A sample of 323 medical students attending the University of Baghdad, college of medicine, were included in this study between July 2019 and September 2019, regardless of their age or gender. The study included five grades according to the year 2019-2020. An online survey was conducted using Google Forms which included two sections. Section 1 included questions about participants' demographics. The second section included the PHQ-9 (Patient Health Questionnaire-9) score.

Results: A total of 323 students of different demographics participated in this study. The number of males was 108 (33.4%), and the number of females was 215 (66.6%). The frequency of participants who got mild depression was the highest, i.e., 127 (39.3%), whereas 85 (26.3%) were non-depressed. Therefore, this study sample had a high prevalence of depression. On the other hand, the frequency of mild-moderate depression was 57.9%.

Conclusion: The prevalence of depression among medical students at the University of Baghdad was high. Gender, having friends, having a medical condition or disease, having family issues, whether it's easy to communicate with others, encountering an event that affected them, and having a family member who suffers from a psychological condition are associated with depression among students. In contrast, age, marital status, college year, seeking help in the past, and having a part-time job have no association with depression
Palestinian Experience in Stage Four Pressure Ulcer
Authors: Dartaha Rami , Ghannam Ghina , Jobran Afnan Waleed
Published: January 2022

Pressure ulcer (now called Pressure injury) happens when the bony prominence like the sacrum exposes to pressure for a long period and also can cause soft tissue injury. In order to prevent and cure pressure-induced wounds, continuous and attentive repositioning is necessary. Wound management begins with the identification and aggressive management of the modifiable factors, such as positioning, incontinence, spasticity, diet, devices, and medical comorbidity, which contribute to pressure injury formation. Initial interventions include washing, cleaning, and maintaining the surfaces of the wound. In certain cases, it may be sufficient to debride the non-viable or contaminated tissue; however, operational care in more severe cases or to encourage patient satisfaction may be necessary. Our patient is a 50-year-old overweighted man, nonsmoker, and confined to a wheelchair presented with a 20*20*8 stages 4 ulcers in the sacral area after multiple failed bedside debridement. When we use the fasciocutaneous we should consider the depth of the wound and fill dead space. Here we the local situation in Palestine as those patients are usually neglected and their management is restricted to bedside debridement, with no experience in flap reconstruction operations which would dramatically improve patients’ lives. We believe that further awareness is demanded for such procedures.
Cancer Patients’ Experiences and Understanding of Venous Thromboembolism
Authors: Abdullah Omar Riyadh , Ignatowicz Agnieszka , Mahdi Rania Abdulsalam , Young Annie M
Published: January 2022

Background: Venous thromboembolism (VTE), comprising deep vein thrombosis (DVT) and pulmonary embolism (PE), presents an extra challenge in the management of patients with cancer, given the increase in morbidity and mortality in having both conditions. Cancer patients are well known to have a high risk of VTE; particularly; those who have had major surgery, chemotherapy and/or hormonal therapy. These groups of patients need to understand the risk factors and the prophylactic measures to prevent developing VTE. This review aims to provide an overview of the literature on cancer patients’ understanding of VTE and their experiences of cancer-associated thrombosis (CAT).

Method: A scoping review was carried map the literature and explore the types of evidence available. A structured electronic search was conducted in Embase, Scopus and Medline in June 2020. All titles and abstracts from the search were evaluated independently by two reviewers and disagreements were resolved by a third arbitrator. Eligible papers were qualitative studies and reviews of adult patients' experience of cancer-associated thrombosis.

Results:  Ten articles met the inclusion criteria, nine primary qualitative studies and one systematic review that explored cancer patients’ experiences of living with CAT. Participants had various cancer types. Most had advanced disease and were receiving palliative care. Four major themes emerged from the data: Lack of meaningful information on CAT, cancer patients unaware of signs and symptoms of VTE, limited awareness of CAT amongst HCPs and acceptability of anticoagulant.

Conclusion: All the studies explored patients’ experience of VTE in the cancer context, and all included studies showed that participants had limited information about VTE, VTE risk and VTEs’ signs and symptoms. However, no qualitative studies explored patients' understanding of VTE in prophylactic settings in high-risk cancer patients.
The Impact of COVID-19 on Healthy Related Issues, A structured Review
Authors: Al-Hamamy Hiyam Rauof
Published: January 2022

Coronavirus: (COVID-19) is a recently discovered viral disease caused by a new strain of coronavirus.

The majority of patients with corona-virus infections will have a mild-moderate respiratory disease that recovers without special care. Most often, the elderly, and others with chronic medical conditions such as asthma, coronary disease, respiratory illness, and malignancy are seriously ill.

    COVID-19 is spread mostly by salivary droplets or nasal secretions when an infected person coughs or sneezes.

    COVID-19 causes severe acute respiratory illness (SARS-COV-2). The first incidence was recorded in Wuhan, China, in 2019.  Since then it spreads leading to a pandemic.

The typical incubation time for COVID-19 infection is 2-14 days (normally 5). The common features include fever, cough, tiredness, difficulty in breathing, loss of smell or taste. Occasionally, signs are absent. COVID-19 complications include renal failure, syndrome of cytokine release, pneumonia, respiratory failure, lung fibrosis.
Vitamin D deficiency/ insufficiency and some of its related factors in a sample of Iraqi pregnant women and their neonates at Al-Elwiya Maternity Teaching Hospital during 2019
Authors: Obaid Ali Abdul Razzak , Hussein Mohammed Jalal
Published: January 2022

In their cross-sectional study, Al-Rubaye et al studied the extent of vitamin D (VD) deficiency/ insufficiency, factors affecting its degree, and the adverse outcomes of the altered VD status among a group of mothers and their neonates from Baghdad, Iraq. They found that 96.6% of the mothers had VD deficiency/ insufficiency compared to 86.4% in their neonates. Maternal VD levels and neonatal weights were significantly correlated with neonatal VD levels. We believe that the study results need to be revised. This is based  two points listed in this letter to editor
MENINGKATKAN KEDISIPLINAN GURU SMK IT KHOIRU UMMAH REJANG LEBONG DENGAN PROGRAM FINGER PRINT “RENKEHATU”
Authors: Effendi Rajab , Warlizasusi Jumira
Published: January 2022

Disiplin di tempat bekerja tidak hanya semata-mata patuh dan taat terhadap sesuatu yang kasat mata, seperti penggunaan seragam kerja, datang dan pulang sesuai jam kerja, tetapi juga patuh dan taat terhadap sesuatu yang tidak kasat mata yang melibatkan komitmen, baik dengan diri sendiri ataupun komitmen dengan sekolah atau suatu instansi. Faktor pendukung dominan bagi kedisiplinan guru berasal dari dalam diri guru sendiri. Faktor-faktor tersebut yaitu kompetensi profesional, motivasi, kreativitas, dan produktivitas guru, pendidikan, serta karakter guru.

Penelitian ini menggunakan pendekatan kualitatif yakni metode penelitian yang digunakan untuk meneliti kondisi obyek yang alamiah, dimana peneliti adalah sebagai instrumen kunci, teknik pengumpulan data dilakukan analisa data bersifat induktif/kualitatif, dan hasil penelitian kualitatif lebih menekankan makna dari pada generalisasi.

Hasil analisis menunjukkan bahwa Program Finger Print Rengkehatu di SMK IT Khoiru Ummah dapat disimpulkan efektif diterapkan untuk meningkatkan motivasi guru agar hadir tepat waktu. Dari sisi kemampuan adaptasi dalam penggunaan Finger print Rengkehatu dalam meningkatkan disiplin kerja guru sebelumnya masih banyak yang terlambat,akan tetapi dengan program Finger Print Rengkehatu setelah diakumulasi data secara digital keterlambatan semakin berkurang hingga semua tepat waktu, Bahan ini juga kemudian dijadikan bahan kepala sekolah untuk mengevaluasi kinerja guru terutama terhadap kedisiplinan guru.
Architecture and Model of Neural Network Based Service for Choice of the Penetration Testing Tools
Authors: Tetskyi Artem , Kharchenko Vyacheslav , Uzun Dmytro , Nechausov Artem
Published: January 2022

During penetration testing of web applications, different tools are actively used to relieve the tester from repeating monotonous operations. The difficulty of the choice is in the fact that there are tools with similar functionality, and it is hard to define which tool is best to choose for a particular case. In this paper, a solution of the problem with making a choice by creating a Web service that will use a neural network on the server side is proposed. The neural network is trained on data obtained from experts in the field of penetration testing. A trained neural network will be able to select tools in accordance with specified requirements. Examples of the operation of a neural network trained on a small sample of data are shown. The effect of the number of neural network learning epochs on the results of work is shown. An example of input data is given, in which the neural network could not select the tool due to insufficient data for training. The advantages of the method shown are the simplicity of implementation (the number of lines of code is used as a metric) and the possibility of using opinions about tools from various experts. The disadvantages include the search for data for training, the need for experimental selection of the parameters of the neural network and the possibility of situations where the neural network will not be able to select tool that meets the specified requirements.
Design-Space Exploration of Application-specific Instruction-set Processor Design
Authors: Sargolzaei M. H.
Published: January 2022

Application-Specific Instruction-Set Processors (ASIPs) have established their processing power in the embedded systems. Since energy efficiency is one of the most important challenges in this area, coarse-grained reconfigurable arrays (CGRAs) have been used in many different domains. The exclusive program execution model of the CGRAs is the key to their energy efficiency but it has some major costs. The context-switching network (CSN) is responsible for handling this unique program execution model and is also one of the most energy-hungry parts of the CGRAs. In this paper, we have proposed a new method to predict important architectural parameters of the CSN of a CGRA, such as the size of the processing elements (PEs), the topology of the CSN, and the number of configuration registers in each PE. The proposed method is based on the high-level code of the input application, and it is used to prune the design space and increase the energy efficiency of the CGRA. Based on our results, not only the size of the design space of the CSN of the CGRA is reduced to 10%, but also its performance and energy efficiency are increased by about 13% and 73%, respectively. The predicted architecture by the proposed method is over 97% closer to the best architecture of the exhaustive searching for the design space.
Aspects of the Study of Genetic Algorithms and Mechanisms for their Optimization for the Travelling Salesman Problem
Authors: Boyko Nataliya , Pytel Andriy
Published: January 2022

Lately, artificial intelligence has become increasingly popular. Still, at the same time, a stereotype has been formed that AI is based solely on neural networks, even though a neural network is only one of the numerous directions of artificial intelligence. This paper aims to bring attention to other directions of AI, such as genetic algorithms. In this paper, we study the process of solving the travelling salesman problem (TSP) via genetic algorithms (GA) and consider the issues of this method. The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that are based on natural selection, the process that drives biological evolution. One of the common problems in programming is the travelling salesman problem. Many methods can be used to solve it, but we are going consider genetic algorithms. This study aims at developing the most efficient application of genetic algorithms in the travelling salesman problem.
Breast Tumors Diagnosis Using Fuzzy Inference System and Fuzzy C-Means Clustering
Authors: Ahmed Ahmed Shihab , Basheer Omer Nather , Salah Hussein Ali
Published: January 2022

Many of the researches have been successful in the field of computer-aided diagnosis because of the important results the intelligent computing approaches have achieved in this field. In this paper the robust classification method is presented, that attempts to classify the tissue suspicion region as normal or not normal by using a Fuzzy Inference System (FIS) using the Fuzzy C-Mean (FCM) clustering for fuzzification of the Gray-Level Co-Occurrence Matrix (GLCM) feature and a match shape function for fuzzification of matrix shape, then by using (T-norm) generate 729 rules (243 rules based on normal DB case, 243 rules based on benign case, 243 rules based on malignant case), after that the best Eighteen rules are selected (best 6 rules based on normal DB case, best 6 rules based on benign DB case, best 6 rules based on malignant DB case) by using genetic algorithm, then make summation for each group if the summation of 6 rules based on normal DB is greater than other summation of two group (best 6 rules based on benign DB case and best 6 rules based on malignant DB case) that mean resulted of the classification step is normal. The model approved efficiency classification rate of 97.5% of input dataset image.
Fast Algorithm for Calculating Transitive Closures of Binary Relations in the Structure of a Network Object
Authors: Batsamut Vladimir , Manzura Sviatoslav , Kosiak Oleksandr , Garmash Viacheslav , Kukharets Dmytro
Published: January 2022

The article proposes a fast algorithm for constructing the transitive closures between all pairs of nodes in the structure of a network object, which can have both directional and non-directional links. The algorithm is based on the disjunctive addition of the elements of certain rows of the adjacency matrix, which models (describe) the structure of the original network object. The article formulates and proves a theorem that using such a procedure, the matrix of transitive closures of a network object can be obtained from the adjacency matrix in two iterations (traversal) on such an array. An estimate of the asymptotic computational complexity of the proposed algorithm is substantiated. The article presents the results of an experimental study of the execution time of such an algorithm on network structures of different dimensions and with different connection densities. For this indicator, the developed algorithm is compared with the well-known approaches of Bellman, Warshall-Floyd, Shimbel, which can also be used to determine the transitive closures of binary relations of network objects. The corresponding graphs of the obtained dependences are given. The proposed algorithm (the logic embedded in it) can become the basis for solving problems of monitoring the connectivity of various subscribers in data transmission networks in real time when managing the load in such networks, where the time spent on routing information flows directly depends on the execution time of control algorithms, as well as when solving other problems on the network structures.
Relationship Between Metals In Ovacık Stream Sediment Samples
Authors: KIRAT Güllü
Published: January 2022

Ovacık Village is located in Balıkesir province and is 12 km away from Balıkesir Center. The GPS coordinates of Ovacık Village are 39° 43' 51'' North and 27° 47' 37'' East. The stream sediments in the study area consisted of the erosion of magmatic, metamorphic and volcanic rocks and surface waters and eroded rock particles along the stream bed. The relationship between metals in stream sediments has been investigated on the basis of geochemical properties. As, Cd, Cu, Mn, Ni, Pb and Zn element contents of 23 stream sediment samples were taken from different locations from Ovacık village and its surroundings. The minimum, maximum, medyan, median and standard deviation values of these metals in the stream sediments were calculated and it was observed that the mean values were higher than the standard deviation values. The minimum and maximum values (ppm) of the metals studied As: 7.7 - 51.3, Cd: 0.13 - 0.58, Cu: 25.2 - 70.6, Mn: 661 - 1135, Ni: 8.6 - 33.7, Pb: 12.3 - 57.7 and Zn: 59 - 220 According to the Spearman correlation coefficient values, a strong positive correlation was observed between As - Cu, Cd - Pb, Cd - Zn, Cu - Ni and Pb - Zn metal associations (p <0.01). Factor analysis was made with the obtained analysis results and 3 different factor values were created and analyzed. Factor 1: Cd - Pb - Zn association and 37.01% of the total variance; Factor 2: Cu - Mn - Ni association and 24.7% of the total variance; Factor 3: As and total variance was 18.4%, the total variance value was found to be 80.1%. The spatial distributions of the metals were analyzed using the Surfer 9.0 program in the creation of the distribution maps. As and Cu elements at locations 16 and 17; Mn and Ni elements at locations 3, 6 and 7; Cd, Pb and Zn elements have the highest values in locations 3, 12 and 20, they show a similar distribution.
An Optimization Focused Machine Learning Approach in Analysing Arts Participative Behavior with Fine Arts Education Considerations
Authors: YAVUZ Özerk
Published: January 2022

Fine arts education constitutes an important value for the development of nations, countries and geographies. In literature it is seen that societies and nations that give importance to fine arts, other art forms with respective education programs and agendas seem to be more developed in the fierce competitive environments. It is a known fact that art forms enhance the creativity of individuals as well as developing questioning skills and empathy. Therefore cultural plans, programs and agendas handled in the cultural ministry or similar levels should always be considered as a chance for investments made for the development of individuals and society at large. Therefore enough budgets for cultural programs should be maintained. Academic and pre-university degree art programs should be designed and formed in response to the changes and developments in the contemporary art world. Graduates should also be prepared in these programs to the career paths that they want to follow in these areas. Understanding the domain of art marketing as well as implementing marketing strategies, plans, programs in every level in this context can be helpful in enlarging the arts market which means creating more jobs and employment opportunities for more actors and actresses. Qualification of these talents should also be supported with academical or nonacademical artistic education forms. In this study theatres located in Istanbul Municipality and theatre participation behavior has been analyzed with recent machine learning trends and approaches available in data mining literature with the aim of enhancing exploratory and confirmatory understanding in such domains as theater, entertainment and art marketing with the aim of providing some insights and ideas to the arts community, leaders and society at large.
The Effects of Space Radiation on Small Satellites-General Structure of Cubesat and Internet of Space Things
Authors: ALTUNAY Merve , AKKAŞ Mustafa , GÖY Özge
Published: January 2022

Small satellites have started to be produced as a solution to the volume, weight and cost problems of traditional satellites. CubeSat as a small nano satellite whose production is gaining speed today, has contributed to research in space and satellite with the Internet of Things. CubeSat networks that can communicate each other in space are created with the development of the Internet of Things. The performance of satellites is attempted to be maximized with small satellites. Small electronic components of these satellites increase the sensitivity to space radiation. At the same time, the performance of the satellite is affected. More durable materials are being developed to minimize these impacts. In addition,satellites are tested for their durability by irradiating the satellite to be sent with close amounts of space radiation before it is sent into space. Signals that are important in satellite communication are affected by atmospheric conditions. In this context, the effect of the ionosphere which is the layer of the atmosphere on signals is mentioned. A compilation article about CubeSat networks that bring the concept of the Internet of Space Things to the fore, the effects of space radiation on small satellites, the materials that can be used on small satellites to reduce this effect and the radiation tests conducted has been written to address the lack of local resources.
Designing and Implementing Utility Line Arboreta
Authors: Appleton Bonnie
Published: January 2022

In the United States, a significant conflict exists between overhead utility lines and inappropriately tall trees planted in or near line easements. A major goal of Virginia, U.S.’s Municipal Tree Restoration Project is the establishment of utility line arboreta in multiple state locations as a way to evaluate, showcase, and promote trees compatible with overhead utility lines. Three different utility line arboreta models have been developed that can be replicated anywhere internationally to deal with this important infrastructure conflict. A stepwise list of considerations and potential funding sources for developing utility line arboreta is provided, as well as a comparison of the advantages and disadvantages of the three described utility line arboreta models.
Comparison of Structural and Noncompacted Soils for Trees Surrounded by Pavement
Authors: Smiley E. Thomas , Calfee Lisa , Fraedrich Bruce , Smiley Emma
Published: January 2022

Trees in areas surrounded by pavement often have inhospitable rooting environments, which shorten their useful life expectancy. This trial was established to compare five different soil treatment options under pavement. Snowgoose cherry (Prunus serrulata) and Bosque lacebark elm (Ulmus parvifolia) were planted into 5.4 m 3(189 ft 3) of medium containing compacted soil, gravel/soil mixture, Stalite, Stalite/soil mixture, or noncompacted soil and covered with concrete. A variety of growth and health parameters were measured after 14 months. It was found that there was more trunk diameter growth with the noncompacted treatment than the Stalite and Stalite/soil treatments; more twig growth in the noncompacted and gravel/soil treatments than all others; higher relative chlorophyll rating in the noncompacted treatment than all others; and more root growth in the noncompacted treatment (elms only). Suspended pavement over noncompacted soils provided the greatest amount of tree growth and health and should be considered when designing urban planting sites for trees.
Sucrose-Induced Tolerance to and Recovery from Deicing Salt Damage in Containerized Ilex aquifolium L. and Quercus robur L.
Authors: Al-Habsi Sulaiman , Percival Glynn
Published: January 2022

Two outdoor experiments were conducted using containerized trees of the species holly (Ilex aquifolium L.) and English oak (Quercus robur L.) to determine the effectiveness and feasibility of sucrose to improve tolerance to and recovery from deicing salt (sodium chloride [NaCl]) damage. In experiment one, sucrose plus a water-only control was applied as a root drench to containerized stock. Seventy-two hours later, NaCl was applied to both tree species as a root drench. At day 15 after NaCl application, effects on leaf chlorophyll a and b, carotenoid (lutein, β-carotene, neoxanthin, α-carotene), xanthophyll (zeaxanthin, antheraxanthin, violaxanthin) concentration, leaf necrosis, and chlorophyll fluorescence (Fv/Fm) were measured. In experiment 2, NaCl was applied as a root drench. At day 14 after NaCl application, plants were root drenched with sucrose plus a water-only control and recovery rates monitored by recording leaf necrosis, leaf chlorophyll concentration, and chlorophyll fluorescence over the proceeding 8 weeks. At week 8 after sucrose application, effects on tree growth were recorded. Sucrose was found to confer to both tree species a useful degree to tolerance to NaCl and improve recovery from salt-induced damage with promotion of photoxidative antioxidant pigments (carotenoids, xanthophylls) and chlorophylls strongly indicated as significantly contributing to the induction of NaCl tolerance.
A Decision-Making Model of Technological-Focused Government Agency Selection of Technological Start-Up Businesses
Authors: Taweesangrungroj Amnard , Rattanabanchuen Roongkiat , Sinthupinyo Sukree
Published: January 2022

In developing countries, the government has played an important role in supporting startup businesses in various aspects, primarily through tech-focused government agencies. With a limited budget, the government agencies are critical to select plenty of tech startups for funding, leaving only promising tech startups. Consequently, government agencies inevitably face decision-making problems under uncertain circumstances, like private equity investment situations. Reviewing the relevant decision-making frameworks has identified that a classical multiple criteria decision-making (MCDM) approach is currently used, assuming decision-makers acquire complete information that is not realistic. Moreover, both qualitative and quantitative criteria used in evaluating startup businesses cannot represent the uncertainty which is the fundamental nature of the decision-making circumstance. Thus, this article presents a decision-making framework of tech-focused government agencies for selecting startup businesses based on a fuzzy MCDM of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Besides, it identifies selection criteria with mixed research methodologies and determines weights of importance criteria by the Delphi method. Finally, the proposed framework results are fairness, transparency, and eliminating bias in decision-making, including more efficiency when the framework’s ranking orders significantly correspond with actual performances.
HIGHLIGHTS

Criteria for selecting start-up businesses in technological-focused government agencies
A decision-making framework of tech-focused government agencies for selecting startup businesses based on a fuzzy MCDM of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
The performance of the decision-making framework in selecting startup businesses to acquire high potential tech startups to drive the national economy

GRAPHICAL ABSTRACT
Dijital Sağlık Okuryazarlığı Üzerine Bir Alanyazın İncelemesi
Authors: EKİNCİ Yücel , TUTGUN-ÜNAL Aylin , TARHAN Nevzat
Published: January 2022

Sağlık hizmetlerindeki dijitalleşmeyle birlikte çevrimiçi bilgiler ve mobil uygulamalar kullanıcılar için önemli rol oynayama başladı. Bu yönde yapılan araştırmalar, insanların çevrimiçi bilgiyi kullanma konusundaki kendi algı becerilerinin aslında sağlıklarını ve sağlık hizmetlerinin kalitesini etkilediğini ve bu tür becerilerin eksikliğinin olumsuz sonuçlara yol açabileceğini göstermiştir. Kullanıcılar yüksek veya düşük kaliteli sağlık bilgilerini eleştirel olarak analiz etmek ve yerleşik teknoloji kullanımlarını sağlıklı davranışlarla dengelemek için daha donanımlı olmalıdır. Bu anlamda, son kullanıcının bir dizi dijital beceriye sahip olması ve ayrıca sağlıklarını geliştirmek için bilgileri anlaması hayati önem taşımaktadır. Dijital sağlık okuryazarlığını geliştirmenin önemi, son yıllarda birçok ülke ve araştırmacı tarafından da fark edilmiştir. Dijital sağlık okuryazarlığı üzerine geliştirilen ölçüm araçları, bu becerilerin etkilerini hem bireysel hem de toplumsal düzeyde incelemek için gerekliliğini korumaktadır. Bu becerilerin geliştirilmesi ancak bireylerin dijital sağlık okuryazarlığı seviyesinin arttırılması ile mümkün görünmektedir. Dijital sağlık araçlarının fırsatlarına ilişkin artan farkındalık ile sağlıkla ilgili amaçlara yönelik bilgi ve iletişim teknolojilerinin nasıl kullanılacağı konusunda gelişmiş becerilerin elde edilmesi önemlidir. Bu kapsamda, dijital sağlık okuryazarlığına yönelik alanyazın incelenmiş olup dijital sağlık okuryazarlık kavramı geniş bir şekilde ele alınmış, bu alandaki ölçüm araçları ve yapılan çalışmalar incelenmiş, dijital sağlık okuryazarlığının geliştirilmesine yönelik önerilerde bulunulmuştur. Ayrıca bu çalışma ile ülkemizde dijital sağlık okuryazarlığı farkındalığının oluşturulmasına yönelik katkı sunması amaçlanmaktadır.
A comparative experiment on the anti-chronic myeloid leukemia capacities of AgNO3, ‎Scrophularia striata leaf aqueous extract, and silver nanoparticles containing natural ‎compounds ‎
Authors: Ma Yanmei , Behtash Maryam , Yari Hadis , Karimian Mohammad , Abbasi Naser , Ghaneialvar Hori , Zangeneh Mohammad Mahdi
Published: January 2022

Introduction

In the current study, silver nanoparticles were prepared and synthesized in aqueous medium using Scrophularia ‎striata leaf extract as stabilizing and reducing agents. Also, we investigated the anti-chronic myeloid leukemia ‎potentials of silver nanoparticles against BV173 (chronic myeloid leukemia in blast crisis), CML-T1 (chronic ‎myeloid leukemia in lymphoid blast crisis), EM-2 (chronic myeloid leukemia in blast crisis; relapse after bone ‎marrow transplantation), and JOSK-M (chronic myeloid leukemia in myelomonocytic) cell lines. ‎

Material and methods

Silver nanoparticles were characterized and analyzed using common nanotechnology techniques including UV-‎Vis.‎‏ ‏and FT-IR Spectroscopy, Field Emission-Scanning Electron Microscopy (FE-SEM), and Transmission ‎Electron Microscopy (TEM), and Energy Dispersive X‐ray Spectrometry (EDS). ‎

Results

FT-IR analysis offered antioxidant compounds in the nanoparticles were the sources of reducing power, ‎reducing silver ions to silver nanoparticles. FE-SEM and TEM images revealed a uniform spherical morphology ‎in size of 19.72 nm for the green synthesized nanoparticles. DPPH test revealed similar antioxidant potentials ‎for silver nanoparticles and butylated hydroxytoluene. Silver nanoparticles had very low cell viability and anti-‎chronic myeloid leukemia properties dose-dependently against JOSK-M, EM-2, CML-T1, and BV173 cell lines ‎without any cytotoxicity on the HUVEC cell line. The best result of cytotoxicity properties of silver ‎nanoparticles against the above cell lines was observed in the case of CML-T1 cell line. ‎

Conclusions

After confirming in the in vivo and clinical trial studies, these nanoparticles can be administrated in humans for ‎the treatment of chronic myeloid leukemia.‎
IL-36γ promotes psoriasis-like features in keratinocytes in an imiquimod-induced murine model of psoriasis
Authors: Wang Wen-Ming , Wu Chao , Gao Yi-Meng , Jin Hong-Zhong
Published: January 2022

Introduction

Psoriasis is a recurrent, chronic inflammatory skin disease with complex pathogenesis. The disease imposes a heavy burden on patients. Interleukin (IL)-36γ belongs to the IL-36 family and is predominantly expressed by epithelial cells. IL-36γ is upregulated in psoriasis lesions. However, the effects of IL-36γ in keratinocytes remain unclear.

Material and methods

Eighteen IL-36γ-deficient mice were divided into three groups: the vaseline group, the imiquimod (IMQ) group, and the IMQ/IL-36γ group. Vaseline or IMQ was administered for 6 consecutive days. The severity of psoriasis-like lesions was evaluated using a modified Psoriasis Area and Severity Index (PASI) scoring system. Production of cytokines and expression of differentiation markers were assessed by immunohistochemistry.

Results

IMQ-induced psoriasis lesions were significantly more severe in IMQ/IL-36γ-treated mice compared with vaseline-treated and IMQ-treated mice, as shown by an exacerbated inflammatory phenotype, increased numbers of blood vessels, increased infiltration of cells, and increased epidermal thickness. Expression of loricrin and keratin 5 in skin lesions was decreased following treatment with IL-36γ. Levels of IL-17A, interferon-γ, β-catenin and Dickkopf-related protein 1 were elevated in keratinocytes within psoriatic lesions following IL-36γ stimulation.

Conclusions

Together, these data showed that IL-36γ contribute to abnormal keratinocytes proliferation and keratinocyte-related proinflammatory cytokines, and suggest that IL-36γ may play an important role in the pathogenesis of psoriasis.
Penanaman Nilai-Nilai Pancasila melalui Pembelajaran Life Skill di Masa Pandemi Covid-19
Authors: Erinawati Nur Rochmah
Published: January 2022

Pendidikan adalah salah satu faktor yang berperan dalam peningkatan kualitas hidup bangsa. Kualitas hidup bangsa dapat ditingkatkan melalui pembaharuan dalam pendidikan terutama dalam sistematika paradigm, yaitu dengan menerapkan pembelajaran life skill. Tujuan penelitian ini untuk mengetahui bagaimana penanaman nilai-nilai Pancasila melalui pembelajaran life skill di masa pandemic Covid-19. Penelitian ini merupakan best practice. Sampel adalah siswa kelas X BDP SMK Negeri 1 Samigaluh Kulon Progo. Teknik pengumpulan data menggunakan angket dan observasi kegiatan life skill siswa. Teknik analisis data menggunakan analisis deskriptif dilaksanakan dengan mengakumulasikan informasi yang diperoleh dari observasi dan hasil angket, setelah siswa melaksanakan kegiatan pembelajaran life skill. Hasil penelitian menunjukkan bahwa pembelajaran life skill dapat meningkatkan penanaman nilai-nilai Pancasila siswa kelas X BDP SMK Negeri 1 Samigaluh Kulon Progo. Ditunjukkan dengan persentase siswa yang melakukan kerjasama dan tolong menolong sebesar 97,2%, saling berbagi sebesar 97,2% dan bersikap rukun dengan teman dan orang-orang disekitarnya sebesar 86,1%. Nilai-nilai Pancasila ini tercermin dalam sikap gotong royong yang dilakukan siswa pada saat pandemic Covid-19 dengan membantu masyarakat yang sedang melakukan karantina mandiri melalui penyediaan kebutuhan pokok. Sikap gotong royong siswa dapat dilihat dari indikator adanya kesediaan siswa untuk bekerjasama dan saling tolong menolong, saling berbagi dan menjalin hubungan dengan teman serta orang-orang disekitarnya dengan rukun.
Peningkatan Motivasi Belajar Menggunakan Project Based Learning (PjBL) melalui Media Vlog Materi Senam Aerobik
Authors: Zaeriyah Siti
Published: January 2022

Pembelajaran daring saat ini dilaksanakan untuk mengatasi kesulitan proses belajar tatap muka akibat adanya pandemi COVID-19. Maka dari itu, penelitian ini bertujuan untuk menjabarkan pelaksanaan peningkatan motivasi belajar siswa menggunakan Project Based Learning (PjBL) media vlog dengan materi senam aerobik  di SMA N 5 Yogyakarta. Penelitian ini dilaksanakan pada kelas XII IPS 2 berisi 32 siswa pada semester 2 tahun pelajaran 2020/2021 Penelitian ini adalah Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam dua siklus. Instrumen pengambilan data yang digunakan adalah angket motivasi, hasil observasi, hasil catatan lapangan, dan dokumentasi. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis deskriptif kualitatif untuk menjelaskan hasil perhitungan angket motivasi siswa pada tiap aspek yang diamati. Hasil penelitian menunjukkan bahwa pembelajaran model Project Based Learning (PjBL) berbasis vlog dapat meningkatkan motivasi belajar materi senam aerobik untuk siswa kelas XII IPS 2 SMA Negeri 5 Yogyakarta. Pada Siklus 1 motivasi belajar siswa mencapai kategori tinggi sedangkan motivasi belajar siswa pada Siklus 2 mencapai kategori sangat tinggi. Berdasarkan indikator keberhasilan, maka disimpulkan bahwa pencapaian motivasi belajar siswa pada Siklus 1 baru sebesar 74, 75. Sedangkan pada Siklus 2 pencapaian motivasi belajar siswa sebesar 87, 25 sehingga sudah mencapai keberhasilan.
Layanan BAIIK sebagai Strategi BKK Guna Meningkatkan Keterserapan Alumni pada Dunia Kerja
Authors: Lidinilah Muis
Published: January 2022

Salah satu ukuran keberhasilan Pendidikan Sekolah Menengah Kejuruan diantaranya dilihat dari tingginya angka penempatan di dunia kerja bagi tamatan sekolah tersebut. Namun saat ini berkembang isu di tengah masyarakat, bahwa SMK merupakan penyokong angka pengangguran terbesar di Indonesia. Beberapa permasalahan yang dihadapi calon tenaga kerja antara lain: kurangnya berlatih mengerjakan soal psikotest, kesulitan membuat berkas lamaran kerja, curriculum vitae, kurang percaya diri saat interview serta kegagalan saat medical ceck up,serta beberapa masalah di luar diri canaker. Hal tersebut mendorong penulis untuk bekerjasama dengan tim humas untuk bekerja keras membuat terobosan guna meningkatkan keterserapan kerja. Strategi Layanan BAIIK (Bimbingan Aktif Ikhlas Informatif Kooperatif) yang dilaksanakan penulis sejak tahun 2016 hingga sekarang ini bertujuan untuk meningkatkan keterserapan alumni di dunia kerja. Melalui strategi layanan ini keterserapan canaker pada dunia kerja di atas 80% setiap tahunnya. Saran dari penulis kepada sekolah khususnya Waka Humas, supaya layanan ini dilakukan secara kontinyu, anggota tim humas ditambah dan mau bekerja secara pro aktif serta peduli kepada canaker. Selain itu canaker harus giat belajar, berlatih dalam berbagai hal guna meningkatkan kompetensinya supaya bisa bersaing dengan alumni sekolah lainnya.
Pengembangan Desain Blended Learning Mata Pelajaran Fisika SMA pada Era Kenormalan Baru
Authors: Kusyanti Rita Nunung Tri
Published: January 2022

Tujuan penelitian ini untuk mengembangkan desain pembelajaran blended learning pada mata pelajaran Fisika kelas XI di masa era kenormalan baru. Penelitian ini adalah penelitian pengembangan R&D dengan model ADDIE. Tahapan penelitian ini, hanya sampai pada tahapan kedua yaitu analisis kebutuhan dan desain rancangan model pembelajaran blended. Teknik pengumpulan data menggunakan lembar observasi untuk memvalidasi rancangan (brief design) pembelajaran blended, instrumen penelitian berupa lembar observasi, analisa data secara kualitatif. Perencanaan desain produk dengan menyusun desain pembelajaran blended dengan mengacu pada kompetensi matapelajaran Fisika pada masa darurat C-19 dengan sintak blended learning. Berdasar analisis kebutuhan pembelajaran blended learning paling efektif untuk diterapkan pada era kenormalan baru. Desain pembelajaran (brief design) blended learning Fisika model flipped classroom dengan memperhatikan variasi tatap muka pembelajaran offline dan pembelajaran online dengan prosentasi 50%-50%.  Hasil validasi ahli media dan materi diperoleh penilaian obyek pembelajaran mengadaptasi dari LORI adalah adalah 81,58% masuk kategori setuju dan 85,52% masuk kategori sangat setuju, kuesioner evaluasi proses pembelajaran daring adalah 81,25 % masuk kategari cukup baik, dan 89,58% masuk kategori sangat baik, penilaian desain pembelajaran blended learning adalah 85% masuk kategari setuju dan 90% masuk kategori sangat setuju. Rerata aspek atau indikator 85,48% maka hasil validasi ahli isi materi dan media desain pembelajaran blended yang dikembangkan bisa diuji cobakan karena sudah memasuki klasifikasi baik (mendekati sangat baik).
This Peningkatan Keaktifan Siswa dan Hasil Belajar FPB dan KPK melalui Pembelajaran Matematika Realistik
Authors: Hartana Sri
Published: January 2022

Target capaian penelitian ini untuk menjadikan siswa lebih aktif dan hasil belajar FPB dan KPK menjadi lebih baik dengan memberikan pembelajaran matematika realistik kepada siswa kelas IV SDN Ngentakrejo Kulon Progo tahun 2021 dan mendeskripsikan penerapan langkah-langkahnya. Siklus yang dirancang penelitian ini dilakukan dalam dua putaran yang dikemas menjadi lima pertemuan. Setiap pertemuan dilaksanakan dengan mengadopsi pada skema Kemmis & Mc. Taggart yang memuat empat langkah dalam setiap putaran siklus. Penelitian ini menggunakan 26 siswa sebagai subjek yang dikenai tindakan. Data yang terkumpul melalui instrumen penelitian kemudian dianalisis untuk menghitung persentase keaktifan siswa dan seberapa banyak siswa yang tuntas belajar. Penerapan langkah-langkah pembelajaran matematika realistik yang dilakukan dengan pemberian masalah kontekstual, penggunaan alat bantu pembelajaran, diskusi kelompok, diskusi kelas, membandingkan hasil diskusi, dan menarik kesimpulan terbukti dapat membuat keaktifan siswa dan hasil belajarnya menjadi lebih baik. Persentase keaktifan siswa tampak meningkat dalam siklus I pada tiga pertemuan berturut-turut sebesar 83,46%, 84,23%, dan 85%. Siklus II pada dua pertemuan berturut-turut, persentase keaktifan siswa sebesar 85,77% dan 88,08%. Sedangkan, persentase siswa tuntas belajar dalam siklus I pada tiga pertemuan berturut-turut sebesar 53,85%, 57,69%, dan 65,39%. Siklus II pada dua pertemuan berturut-turut, persentase siswa tuntas belajar sebesar 76,92% dan 84,62%.
Penerapan Blended Learning untuk Meningkatkan Minat dan Prestasi Belajar pada Pembelajaran Matematika
Authors: Winanti Anggraeni Ratna
Published: January 2022

Penelitian tindakan kelas ini bertujuan untuk meningkatkan minat dan prestasi belajar siswa pada pembelajaran matematika melalui blended learning. Penelitian dilakukan dalam dua siklus dengan tiap siklusnya menggunakan empat komponen yakni planning, act, observing, dan reflecting. Subjek pada penelitian ini adalah siswa kelas XI IPS 2 SMA Negeri 1 Bambanglipuro Tahun Pelajaran 2020/2021. Teknik pengumpulan data yang digunakan pada penelitian ini adalah lembar observasi guru, lembar observasi siswa, instrumen angket minat belajar siswa dan instrumen tes prestasi belajar siswa. Analisis data pada penelitian ini mencakup penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa; 1) penggunaan blended learning mampu meningkatkan minat belajar siswa  dilihat dari data pada siklus II  telah mencapai indikator keberhasilan yakni sebesar 33,33% siswa memiliki minat sangat tinggi, 66,67% siswa memiliki minat tinggi dalam kelas tersebut; 2) penggunaan blended learning mampu meningkatkan prestasi belajar siswa hal ini dapat dilihat dari data pada siklus II telah mencapai indikator keberhasilan sebesar 76,67% yakni 23 siswa telah tuntas dari 30 siswa di dalam kelasnya, dan 3) hasil observasi pelaksanaan blended learning pada siklus II telah mencapai indikator keberhasilan dengan persentase sebesar 96,67%. Dari keseluruhan hasil penelitian, blended learning disimpulkan mampu meningkatkan minat dan prestasi belajar siswa pada pembelajaran matematika.
Penerapan Model Gradual Release of Responsibility dalam Penguatan Pembelajaran Literasi dan Numerasi
Authors: Herawati Reni
Published: January 2022

Best Practice dilakukan berdasarkan urgensi penguatan pembelajaran literasi dan numerasi dengan melibatkan enam sekolah binaan pada SMA di Kota Yogyakarta. Model Gradual Release of Responsibility mengaktualisasikan pelepasan tanggung jawab secara bertahap, meliputi langkah: 1) focused lesson, 2) Guided Instruction, 3) Collaborative Learning, dan 4) Individual Work untuk meningkatkan pemahaman dan keterampilan guru dalam pembelajaran literasi dan numerasi. Analisis data menunjukkan peningkatan pemahaman guru tentang literasi dalam pembelajaran dari 56% menjadi 69%, atau meningkat 13%.  Sementara itu, pemahahaman guru tentang numerasi dalam pembelajaran merangkak dari 36% menjadi 61%, meningkat 25%. Keterampilan guru dalam menyusun perencanaan pembelajaran literasi mengalami peningkatan sebesar 15%, dari 70% menjadi 85%.  Keterampilan guru dalam perencanaan pembelajaran numerasi mengalami peningkatan tajam sebesar 35%, dari 38% menjadi 75%. Data ini menunjukkan pembimbingan dengan model Gradual Release of Responsibility berdampak signifikan walaupun belum mencapai hasil optimal. Kendala dalam pelaksanaan pembimbingan ditemukan berkaitan dengan terbatasnya waktu akibat bersamaan dengan kegiatan penuntasan vaksin bagi guru dan siswa serta persiapan pembelajaran tatap muka terbatas. Terbatasnya literatur tentang implementasi model Gradual Release of Responsibility dalam kepengawasan sekolah menjadikan hasil dan temuan best practice ini sebagai wawasan baru dan merupakan kebaruan yang sangat bermanfaat baik dalam tataran praktek maupun teori. Selanjutnya direkomendasikan bagi pengawas dan sekolah untuk mengadopsi model Gradual Release of Responsibility baik untuk pembimbingan guru maupun siswa dalam meningkatkan kemampuan literasi dan numerasi.
Fusion of Internal Similarity to Improve the Accuracy of Recommendation Algorithm
Authors:   Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Tamil Nadu., Dhanabal Dr.S. , Baskar Dr.K. ,   Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Tamil Nadu., Premkumar R. ,   Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Tamil Nadu.
Published: January 2022

Collaborative filtering algorithms (CF) and mass diffusion (MD) algorithms have been successfully applied to recommender systems for years and can solve the problem of information overload. However, both algorithms suffer from data sparsity, and both tend to recommend popular products, which have poor diversity and are not suitable for real life. In this paper, we propose a user internal similarity-based recommendation algorithm (UISRC). UISRC first calculates the item-item similarity matrix and calculates the average similarity between items purchased by each user as the user’s internal similarity. The internal similarity of users is combined to modify the recommendation score to make score predictions and suggestions. Simulation experiments on RYM and Last.FM datasets, the results show that UISRC can obtain better recommendation accuracy and a variety of recommendations than traditional CF and MD algorithms.