bluuebunny/crossref_metadata_2025 huggingface dataset:
MicroRNA Expression Profiling of Epithelial Ovarian Cancer Identifies New Markers of Tumor Subtype
Authors: Rattanapan Yanisa , Korkiatsakul Veerawat , Kongruang Adcharee , Siriboonpiputtana Teerapong , Rerkamnuaychoke Budsaba , Chareonsirisuthigul Takol
Published: July 2020

Background:

Epithelial Ovarian Cancer (EOC) is often challenging to diagnose, even
though histological examination. MicroRNA (miRNA or miRNA) is bound to the target messenger
RNA (mRNA) due to which the mRNA molecules are silenced. The identification of miRNA expression-
based EOC subtypes is considered a critical means of prognostication. So far, the studies on
EOC subtypes have not been well characterized.

Objective:

This study aimed to confirm the existence of miRNAs in EOC and to assess their potential
as clinical biomarkers for EOC.

Methods:

We sampled 25 ovarian tumor tissues from patients with human ovarian tumors (17 malignant;
12 serous EOC, five non-serous EOC, and eight benign ovarian tumors). miRNA microarray
detection was performed to identify EOC miRNAs. Real-time PCR was adapted for the validation of
differentially expressed miRNAs detected by microarray analysis related to hybridization intensity.

Results:

The results confirmed that miRNAs exist in EOC, relative expression of EOC miRNAs
demonstrated that the upregulation of miR-483-5p, and downregulation of miR-127-3p, and miR-
532-5p were significantly expressed in the malignant group than in the benign group at p < 0.05. Besides,
miR-483-5p could also distinguish EOC subtypes between serous EOC and non-serous EOC,
with a p < 0.05.

Conclusion:

A comprehensive miRNA expression profiling can help to refine subtype classification
in EOC, opening new opportunities for identifying clinically applicable markers for improved stratification
and diagnostics of ovarian tumors.
mHealth and Engagement Concerning Persons With Chronic Somatic Health Conditions: Integrative Literature Review
Authors: Tuvesson Hanna , Eriksén Sara , Fagerström Cecilia
Published: July 2020

Background

Chronic somatic health conditions are a global public health challenge. Being engaged in one’s own health management for such conditions is important, and mobile health (mHealth) solutions are often suggested as key to promoting engagement.

Objective

The aim of this study was to review, critically appraise, and synthesize the available research regarding engagement through mHealth for persons with chronic somatic health conditions.

Methods

An integrative literature review was conducted. The PubMed, CINAHL, and Inspec databases were used for literature searches. Quality assessment was done with the guidance of Critical Appraisal Skills Programme (CASP) checklists. We used a self-designed study protocol comprising 4 engagement aspects—cognitive, behavioral and emotional, interactional, and the usage of mHealth—as part of the synthesis and analysis.

Results

A total of 44 articles met the inclusion criteria and were included in the analysis. mHealth usage was the most commonly occurring engagement aspect, behavioral and emotional aspects the second, cognitive aspects the third, and interactional aspects of engagement the least common aspect in the included articles. The results showed that there is a mix of enablers and barriers to engagement in relation to the 4 engagement aspects. The perceived meaningfulness and need for the solution and its content were important to create and maintain engagement. When perceived as meaningful, suitable, and usable, mHealth can support knowledge gain and learning, facilitate emotional and behavioral aspects such as a sense of confidence, and improve interactions and communications with health care professionals.

Conclusions

mHealth solutions have the potential to support health care engagement for persons with chronic somatic conditions. More research is needed to further understand how, by which means, when, and among whom mHealth could further improve engagement for this population.
Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach
Authors: Mehta Mihir , Julaiti Juxihong , Griffin Paul , Kumara Soundar
Published: July 2020

Background

The rapid spread of COVID-19 means that government and health services providers have little time to plan and design effective response policies. It is therefore important to quickly provide accurate predictions of how vulnerable geographic regions such as counties are to the spread of this virus.

Objective

The aim of this study is to develop county-level prediction around near future disease movement for COVID-19 occurrences using publicly available data.

Methods

We estimated county-level COVID-19 occurrences for the period March 14 to 31, 2020, based on data fused from multiple publicly available sources inclusive of health statistics, demographics, and geographical features. We developed a three-stage model using XGBoost, a machine learning algorithm, to quantify the probability of COVID-19 occurrence and estimate the number of potential occurrences for unaffected counties. Finally, these results were combined to predict the county-level risk. This risk was then used as an estimated after-five-day-vulnerability of the county.

Results

The model predictions showed a sensitivity over 71% and specificity over 94% for models built using data from March 14 to 31, 2020. We found that population, population density, percentage of people aged >70 years, and prevalence of comorbidities play an important role in predicting COVID-19 occurrences. We observed a positive association at the county level between urbanicity and vulnerability to COVID-19.

Conclusions

The developed model can be used for identification of vulnerable counties and potential data discrepancies. Limited testing facilities and delayed results introduce significant variation in reported cases, which produces a bias in the model.
COVID-19 and Slums: A Pandemic Highlights Gaps in Knowledge About Urban Poverty
Authors: Friesen John , Pelz Peter F
Published: July 2020

According to the United Nations, about 1 billion persons live in so-called slums. Numerous studies have shown that this population is particularly vulnerable to infectious diseases. The current COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, emphatically underlines this problem. The often high-density living quarters coupled with a large number of persons per dwelling and the lack of adequate sanitation are reasons why measures to contain the pandemic only work to a limited extent in slums. Furthermore, assignment to risk groups for severe courses of COVID-19 caused by noncommunicable diseases (eg, cardiovascular diseases) is not possible due to inadequate data availability. Information on people living in slums and their health status is either unavailable or only exists for specific regions (eg, Nairobi). We argue that one of the greatest problems with regard to the COVID-19 pandemic in the context of slums in the Global South is the lack of data on the number of people, their living conditions, and their health status.
Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study
Authors: Altmann Samuel , Milsom Luke , Zillessen Hannah , Blasone Raffaele , Gerdon Frederic , Bach Ruben , Kreuter Frauke , Nosenzo Daniele , Toussaert Séverine , Abeler Johannes
Published: July 2020

Background

The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs. One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19. Recent research has demonstrated the theoretical effectiveness of this solution in different disease settings. However, concerns have been raised about such apps because of the potential privacy implications. This could limit the acceptability of app-based contact tracing in the general population. As the effectiveness of this approach increases strongly with app uptake, it is crucial to understand public support for this intervention.

Objective

The objective of this study is to investigate the user acceptability of a contact-tracing app in five countries hit by the pandemic.

Methods

We conducted a largescale, multicountry study (N=5995) to measure public support for the digital contact tracing of COVID-19 infections. We ran anonymous online surveys in France, Germany, Italy, the United Kingdom, and the United States. We measured intentions to use a contact-tracing app across different installation regimes (voluntary installation vs automatic installation by mobile phone providers) and studied how these intentions vary across individuals and countries.

Results

We found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level COVID-19 mortality rates. We investigated the main factors that may hinder or facilitate uptake and found that concerns about cybersecurity and privacy, together with a lack of trust in the government, are the main barriers to adoption.

Conclusions

Epidemiological evidence shows that app-based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app and that it can still reduce the number of infections if uptake is moderate. Our findings show that the willingness to install the app is very high. The available evidence suggests that app-based contact tracing may be a viable approach to control the diffusion of COVID-19.
Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation
Authors: Abdulaal Ahmed , Patel Aatish , Charani Esmita , Denny Sarah , Mughal Nabeela , Moore Luke
Published: July 2020

Background

The current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak is a public health emergency and the case fatality rate in the United Kingdom is significant. Although there appear to be several early predictors of outcome, there are no currently validated prognostic models or scoring systems applicable specifically to patients with confirmed SARS-CoV-2.

Objective

We aim to create a point-of-admission mortality risk scoring system using an artificial neural network (ANN).

Methods

We present an ANN that can provide a patient-specific, point-of-admission mortality risk prediction to inform clinical management decisions at the earliest opportunity. The ANN analyzes a set of patient features including demographics, comorbidities, smoking history, and presenting symptoms and predicts patient-specific mortality risk during the current hospital admission. The model was trained and validated on data extracted from 398 patients admitted to hospital with a positive real-time reverse transcription polymerase chain reaction (RT-PCR) test for SARS-CoV-2.

Results

Patient-specific mortality was predicted with 86.25% accuracy, with a sensitivity of 87.50% (95% CI 61.65%-98.45%) and specificity of 85.94% (95% CI 74.98%-93.36%). The positive predictive value was 60.87% (95% CI 45.23%-74.56%), and the negative predictive value was 96.49% (95% CI 88.23%-99.02%). The area under the receiver operating characteristic curve was 90.12%.

Conclusions

This analysis demonstrates an adaptive ANN trained on data at a single site, which demonstrates the early utility of deep learning approaches in a rapidly evolving pandemic with no established or validated prognostic scoring systems.
mHealth and Engagement Concerning Persons With Chronic Somatic Health Conditions: Integrative Literature Review (Preprint)
Authors: Tuvesson Hanna , Eriksén Sara , Fagerström Cecilia
Published: July 2020

BACKGROUND

Chronic somatic health conditions are a global public health challenge. Being engaged in one’s own health management for such conditions is important, and mobile health (mHealth) solutions are often suggested as key to promoting engagement.

OBJECTIVE

The aim of this study was to review, critically appraise, and synthesize the available research regarding engagement through mHealth for persons with chronic somatic health conditions.

METHODS

An integrative literature review was conducted. The PubMed, CINAHL, and Inspec databases were used for literature searches. Quality assessment was done with the guidance of Critical Appraisal Skills Programme (CASP) checklists. We used a self-designed study protocol comprising 4 engagement aspects—cognitive, behavioral and emotional, interactional, and the usage of mHealth—as part of the synthesis and analysis.

RESULTS

A total of 44 articles met the inclusion criteria and were included in the analysis. mHealth usage was the most commonly occurring engagement aspect, behavioral and emotional aspects the second, cognitive aspects the third, and interactional aspects of engagement the least common aspect in the included articles. The results showed that there is a mix of enablers and barriers to engagement in relation to the 4 engagement aspects. The perceived meaningfulness and need for the solution and its content were important to create and maintain engagement. When perceived as meaningful, suitable, and usable, mHealth can support knowledge gain and learning, facilitate emotional and behavioral aspects such as a sense of confidence, and improve interactions and communications with health care professionals.

CONCLUSIONS

mHealth solutions have the potential to support health care engagement for persons with chronic somatic conditions. More research is needed to further understand how, by which means, when, and among whom mHealth could further improve engagement for this population.
Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study (Preprint)
Authors: Syamsuddin Muhammad , Fakhruddin Muhammad , Sahetapy-Engel Jane Theresa Marlen , Soewono Edy
Published: July 2020

BACKGROUND

The popularity of dengue can be inferred from Google Trends that summarizes Google searches of related topics. Both the disease and its Google Trends have a similar source of causation in the dengue virus, leading us to hypothesize that dengue incidence and Google Trends results have a long-run equilibrium.

OBJECTIVE

This research aimed to investigate the properties of this long-run equilibrium in the hope of using the information derived from Google Trends for the early detection of upcoming dengue outbreaks.

METHODS

This research used the cointegration method to assess a long-run equilibrium between dengue incidence and Google Trends results. The long-run equilibrium was characterized by their linear combination that generated a stationary process. The Dickey-Fuller test was adopted to check the stationarity of the processes. An error correction model (ECM) was then adopted to measure deviations from the long-run equilibrium to examine the short-term and long-term effects. The resulting models were used to determine the Granger causality between the two processes. Additional information about the two processes was obtained by examining the impulse response function and variance decomposition.

RESULTS

The Dickey-Fuller test supported an implicit null hypothesis that the dengue incidence and Google Trends results are nonstationary processes (P=.01). A further test showed that the processes were cointegrated (P=.01), indicating that their particular linear combination is a stationary process. These results permitted us to construct ECMs. The model showed the direction of causality of the two processes, indicating that Google Trends results will Granger-cause dengue incidence (not in the reverse order).

CONCLUSIONS

Various hypothesis testing results in this research concluded that Google Trends results can be used as an initial indicator of upcoming dengue outbreaks.
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review (Preprint)
Authors: Choudhury Avishek , Asan Onur
Published: July 2020

BACKGROUND

Artificial intelligence (AI) provides opportunities to identify the health risks of patients and thus influence patient safety outcomes.

OBJECTIVE

The purpose of this systematic literature review was to identify and analyze quantitative studies utilizing or integrating AI to address and report clinical-level patient safety outcomes.

METHODS

We restricted our search to the PubMed, PubMed Central, and Web of Science databases to retrieve research articles published in English between January 2009 and August 2019. We focused on quantitative studies that reported positive, negative, or intermediate changes in patient safety outcomes using AI apps, specifically those based on machine-learning algorithms and natural language processing. Quantitative studies reporting only AI performance but not its influence on patient safety outcomes were excluded from further review.

RESULTS

We identified 53 eligible studies, which were summarized concerning their patient safety subcategories, the most frequently used AI, and reported performance metrics. Recognized safety subcategories were clinical alarms (n=9; mainly based on decision tree models), clinical reports (n=21; based on support vector machine models), and drug safety (n=23; mainly based on decision tree models). Analysis of these 53 studies also identified two essential findings: (1) the lack of a standardized benchmark and (2) heterogeneity in AI reporting.

CONCLUSIONS

This systematic review indicates that AI-enabled decision support systems, when implemented correctly, can aid in enhancing patient safety by improving error detection, patient stratification, and drug management. Future work is still needed for robust validation of these systems in prospective and real-world clinical environments to understand how well AI can predict safety outcomes in health care settings.
Community Health Workers (CHWs) to Improve Primary Health Care Services Delivery: A Case of Female Community Health Volunteers (FCHV) Program in Nepal (Preprint)
Authors: Shahi Prakash , Tamang Pasang Devi , Bhatta Surya , Rawal Lal
Published: July 2020

UNSTRUCTURED

Community health workers (CHWs) have played a vital role in improving primary healthcare services in different parts of the world, in particular, for those services related to the prevention and control of communicable diseases, immunization services, reproductive health, maternal and child health, HIV/AIDS prevention and care and nutrition promotion. The Female Community Health Volunteers (FCHVs) program, which was introduced in 1988 in Nepal has now reached over 51,000 FCHVs. They are key community level CHWs in Nepal and have contributed significantly in achieving several health and related outcomes and meeting several Millennium Development Goals. In such, there is also a potential and needs for engaging them to prevent and control emerging health challenges such as non-communicable diseases prevention and control and re-emerging health issues. Their effective involvement to ongoing health programs would be critical to achieving Sustainable Development Goals, agenda in particular “SDG 3 – Health and Wellbeing” by 2030.
A Clinical Tool (CUE-tool) for Health Care Professionals to Assess the Usability and Quality of the Content of Medical Information Websites: Electronic Delphi Study (Preprint)
Authors: Klompstra Leonie , Liljeroos Maria , Lundgren Johan , Ingadottir Brynja
Published: July 2020

BACKGROUND

As patients are increasingly searching for information about their medical condition on the internet, there is a need for health professionals to be able to guide patients toward reliable and suitable information sources on the internet.

OBJECTIVE

The aim of the study was to develop a clinical tool for health care professionals to assess the usability and quality of the content of websites containing medical information that could be recommended to patients.

METHODS

A 3-round modified electronic Delphi (eDelphi) study was conducted with 20 health care professionals.

RESULTS

In round one of the eDelphi study, of the 68 items initially created, 41 items (29 on usability and 12 on content) were rated as important or very important by more than half of the panel and thus selected for further evaluation in round two. In round two, of the 41 items chosen from round 1, 19 were selected (9 on usability and 10 on content) as important or very important by more than half of the panel for further evaluation. As a result of round three, 2 items were combined as a single item, leaving the instrument with 18 items in total (8 on usability and 10 on content). The tool is freely accessible online.

CONCLUSIONS

The CUE-tool can be used to (1) evaluate the usability and reliability of the content of websites before recommending them to patients as a good information source; (2) identify websites that do not have reliable content or may be difficult for patients to use; (3) develop quality websites by using the criteria in the CUE-tool; and (4) identify different qualities between different websites.
No protocol and no liability: a call for COVID crisis guidelines that protect vulnerable populations
Authors: Caraccio Chiara , White Robert S , Jotwani Rohan
Published: July 2020

The COVID-19 pandemic is revealing the unacceptable health disparities across New York City and in this country. The mortality rates of vulnerable and minority populations alone suggest a need to re-evaluate clinical decision making protocols, especially given the recently passed Emergency or Disaster Treatment Protection Act, which grants healthcare institutions full immunity from liability stemming from resource allocation/triage decisions. Here we examine the disparity literature against resource allocation guidelines, contending that these guidelines may propagate allocation of resources along ableist, ageist and racial biases. Finally, we make the claim that the state must successfully develop ones that ensure the just treatment of our most vulnerable.
Матричные фотоприемные устройства ИК‑диапазона: «постпандемические» тенденции развития. Часть II
Authors: Кульчицкий Н.А. , Наумов А.В. , Старцев В.В.
Published: July 2020

В первой части обзора ( см. Фотоника. 2020; 14(3): 234–244) были рассмотрены инфракрасные детекторы тепловизионной техники. Устройства востребованы в системах и комплексах гражданской и медицинской термографии, охранного и пожарного наблюдения, персональных системах ночного видения и обеспечения безопасности. Во второй части обзора рассмотрены охлаждаемые МФПУ для спектрального диапазона 3–5 мкм, 8–12 мкм, неохлаждаемые МФПУ. Представлено сравнение тепловых детекторов разного типа от разных мировых производителей. Дан экспертный прогноз изменений динамики роста рынка и его пост-пандемические тенденции развития.
The first part of the review (see Photonics Russia.2020; 14(3): 234–244) deals with infrared detectors of thermal imaging technology. The devices are in demand in systems and complexes of civil and medical thermography, security and fire surveillance, personal night vision and security systems. The second part of the review deals with cooled APDs for the spectral range of 3–5 microns, 8–12 microns, uncooled APDs. A comparison of thermal detectors of various types by different world manufacturers is presented. An expert forecast of changes in market growth dynamics and trends of its post-pandemic development is given.
Пассивные дальномеры: от оптических к оптико-­электронным системам
Authors: Медведев А.В. , Гринкевич А.В. , Князева С.Н.
Published: July 2020

Пассивные оптические дальномеры обладают скрытностью, но не обеспечивают высокой точности измерения дальности в сравнении с лазерными дальномерами. Предложены новые оптические решения на основе комбинации цифровых методов и оригинальных оптических решений. Комбинация обеспечивает разнообразные варианты малогабаритных пассивных прицелов-­дальномеров с высокой точностью измерения дальности до цели при скрытности измерений.
Passive optical rangefinders provide stealth, but do not provide high accuracy range measurements in comparison with laser ones. New optical solutions based on a combination of digital methods and original optical solutions are proposed. The combination provides a variety of options for small-­sized passive sights-­rangefinders with high accuracy of measuring the distance to the target with secretive measurements.
Implementasi Push Message Dengan Menggunakan Restful Web Service Pada Komunikasi Wireless Sensor
Authors: Nugroho Rino , Faiqurahman Mahar , Sari Zamah
Published: July 2020

Wireless Sensor Network (WSN) is a wireless network consisting of one or more nodes even numbering thousands. The nodes in the wireless sensor network (WSN) consist of sensor nodes and sink nodes. The use of wireless sensors on the network can form a node that can communicate with each other. The communication process generally uses a pull mechanism that precedes the data query process from the node to node sensor that provides sensing data. In some wireless sensor node architecture, this pull mechanism is considered less effective because the node sink must first request data to the sensor node. Alternative, a push message mechanism can be used to transmit sensed data within specified or determined time intervals.In this research is implemented push message mechanism by using restful web service in wireless sensor communications. Test results on the delivery of data by push data transmission obtained to sink nodes alternately in accordance with the order of destination address listed or stored in memory sensor node. And in doing data delivery to be efficient in the absence of data requests at any time.
Game Android “The Game Of Topeng Malangan” Sebagai Media Pengenalan Seni Rupa Topeng Malangan
Authors: Montazeri Ali Akbar , Wibowo Hardianto , Husniah Lailatul
Published: July 2020

Seni rupa Topeng Malangan merupakan salah seni rupa topeng yang berasal dari Kota Malang. Pengaruh global semakin menenggelamkan kesenian tradisional seperti Topeng Malangan ini. Saat ini lebih banyak muncul pentas-pentas seni selain tari Topeng Malangan. Salah satu cara pemertahanan budaya topeng Malangan adalah dengan cara mewariskan karakter, tarian Topeng pada masyarakat sekitar, serta membuat sanggar seni. Menurut hasil survey yang telah peneliti lakukan, dari 34 responden terdapat 22 responden yang belum mengenal Topeng Malangan sehingga dapat disimpulkan bahwa di kota Malang masih banyak yang belum mengenal Topeng Malangan. Dalam penelitian ini dilakukan pengembangan game berbasis android yang mengangkat unsur seni rupa Topeng Malangan. Topeng yang dikenalkan berupa 4 macam jenis berdasarkan klasifikasi topeng, yaitu: 1) Peran protagonis, 2) Peran antagonis, 3) Peran pembantu, dan 4) Peran binatang. Genre pada permainan ini adalah RPG dan terdiri dari 4 stage yang memiliki tingkat kesulitan berbeda. Pengujian dilakukan dengan menggunakan metode Playtesting dengan mencari player untuk memainkan game tersebut serta mempersilahkan pemain untuk mengisi kuesioner dengan kriteria pertanyaan Gameflow Test setelah bermain. Hasil yang didapatkan yaitu pemain setuju bahwa seni rupa Topeng Malangan bisa dikenalkan melalui game. Namun pemain masih mengalami masalah dalam mengingat nama topeng terutama pada tahap stage yang sudah mulai sulit seperti stage 3 dan stage 4.
Implementasi Pemantauan Suhu Kelembaban serta Pengendali Penyiraman Tanaman secara Otomatis pada Greenhouse Berbasis Web
Authors: Hidayat Lalu Rahmat , Sari Zamah , Nursandi Fatimah
Published: July 2020

Aglaonema merupakan tanaman hias daun yang memiliki nilai keindahan pada variasi daun, baik motif warna maupun bentuk daun. Aglaonema tumbuh pada suhu 24-270C dan kelembaban 65-75%, serta tidak terkena sinar matahari langsung. Untuk mendapatkan kondisi ideal maka aglaonema ditempatkan didalam sebuah greenhouse. Sehingga dirancanglah sebuah sistem yang dapat memantau suhu, kelembaban serta pengendalian penyiraman tanaman secara otomatis pada greenhouse. Adapun alat yang digunakan untuk merancang sistem ini adalah sensor DHT22, mikrokontroller Arduino uno, relay, selenoid valve, ethernet shield dan pompa air. Sensor ditempatkan pada 3 loakasi di dalam greenhouse yakni zona atap, zona dinding dan zona tanaman. Pemantauan dilakukan melalui web server dalam bentuk tabel dan grafik. Hasil pengujian didapatkan bahwa sistem ini dapat bekerja dengan baik. Dht22 dapat membaca suhu dan kelembaban dengan margin error dari pengukuran ini yakni suhu 0,410C dan kelembaban 2,56%. Pompa air bekerja dengan batasan yang telah ditentukan, ketika melebihi batas maka relay menyala dan pompa air bekerja. Hal ini sudah sesuai dengan yang diharapkan. Pengiriman data hasil sensor ke server dapat membaca dengan benar, hasil pengujian nilai sensor pada serial monitor dan di web server memiliki nilai yang sama, meskipun teradi delay. Web server dapat menampilkan data suhu dalam bentuk grafik dan tabel. Suhu dan kelembaban ideal berhasil berhasil dilakukan. Rata-rata suhu dan kelembaban ruangan sebelum menggunakan sistem yakni 30.20C dan 56,86%. Sedangkan rata-rata suhu dan kelembaban ruangan setelah menggunakan sistem yakni 27.850C dan 73,99%. Hal ini menunjukkan bahwa terjadi penurunan rata-rata suhu sebesar 2.350C dan kenaikan kelembaban sebesar 17.13%.
Analisis Maturity Level Layanan dan Produktivitas Sumber Daya Manusia berdasarkan Business Goal 15 COBIT 4.1 (Studi Kasus : Dinas Komunikasi dan Informatika Provinsi Jawa Timur)
Authors: Nandhany Cyndya , Mukaromah Siti , Pratama Arista
Published: July 2020

Dinas Komunikasi dan Informatika (Diskominfo) Provinsi Jawa Timur merupakan salah satu instansi pemerintah di Provinsi Jawa Timur yang berperan membantu Gubernur Provinsi Jawa Timur dalam menyiapkan bahan yang diperlukan dalam pemerintahan pada bidang komunikasi dan informasi dalam lingkup provinsi Jawa Timur. Penyebarluasan informasi dan pelayanan publik melalui Teknologi Informasi dan Komunikasi (TIK) di Jawa Timur merupakan tugas utama Diskominfo Provinsi Jawa Timur. Berdasarkan data struktural, hasil observasi, dan penelitian terdahulu diperoleh bahwa mayoritas jumlah staf merupakan Aparatur Sipil Negara (ASN) yang berasal dari instansi pemerintah lain sehingga terbatasnya pemahaman terhadap urgensi dan perkembangan TI, sistem informasi belum sepenuhnya terintegrasi karena minim pemberdayaan sumber daya manusia dan pengembangan sistem membutuhkan pihak ketiga, serta pembagian tugas pokok pegawai belum dibagi secara merata, maka diperlukan analisis maturity level. Penelitian ini bertujuan untuk menganalisis maturity level layanan dan produktivitas sumber daya manusia pada Diskominfo Procinsi Jawa Timur. Pelitian dilaksanakan dengan melakukan observasi, studi literatur, penentuan business goal, pengumpulan data bukti melalui wawancara, penentuan dan analisis maturity level, serta penentuan hasil temuan beserta rekomendasi. Layanan dan produktivitas sumber daya manusia berkaitan erat dengan Business Goal 15 pada perspektif internal COBIT 4.1 tentang meningkatkan dan menjaga produktivitas operasional dan staf. Hasil pengukuran maturity level menunjukan bahwa layanan dan produktivitas sumber daya manusia pada Diskominfo Provinsi Jawa Timur sebesar 3,005477646 yaitu pada level 3 (defined), yang berarti telah didefinisikan kebijakan dan pelaksanaan standarisasi terhadap proses-proses penting seperti arsitektur informasi, infrastruktur TI, pelatihan dan pendidikan pengguna, serta manajemen layanan/insiden, meski belum bersifat formal dan menyeluruh.
Island Generator pada Game Open world Menggunakan Algoritma Perlin noise
Authors: Azzmi Naufal , Husniah Lailatul , Kholimi Ali Sofyan
Published: July 2020

AbstrakPerkembangan game pada saat ini berkembang dengan sangat cepat, dalam perkermbangan game topik AI adalah topik yang paling banyak diteliti oleh beberapa peneliti khususnya pada pembuatan suatu konten game menggunakan metode PCG (procedural content generation). Pada pembuatan sebuah game world menggunakan metode PCG sudah banyak developer game yang sukses dengan mengimplementasikan metode ini, metode ini banyak digunkan pada geme dengan genre RPG, Rouglikes, Platformer, SandBox, Simulation dan lain sebagainya, Pada penelitian ini berfokus pada pengembangan sebuah game world generator untuk game berjenis open world yang berupa sebuah kepulauan dengan metode PCG dengan menggunakan algoritma perlin noise sebagai algoritma pembentuk textur utama pulau yang dimana pada penelitian ini memanfaatkan beberapa variable noise seperti octave, presistance dan lacunarity guna untuk menambah kontrol dari hasil textur yang dihasilkan serta algoritma penempatan pulau untuk membuat sebuah game world yang menyerupai sebuah kepulauan. Dari hasil uji generator terkait degan pengujian playability dan performa dapat disimpulkan bahwa generator yang dikembangkan playable serta performa yang dianaliasa menggunakan notasi Big O menunjukkan  (linear). Abstract Game development is currently growing very fast, game development AI is the most discussed topic by most researchers especially in the developing of game content using the PCG (procedural content generation) method. In making a game world using the PCG method, many game developers have succeeded by implementing this method, this method is widely used on RPGs, Rouglikes, Platformers, SandBox, Simulations and ect,. This study focuses on developing a game world generator game for open world type games in the form of an archipelago using the PCG method using the noise perlin algorithm as the island's main texturizing algorithm which in this study utilizes several noise variables such as octave, presistance and use for add control of the texture results as well as the island placement algorithm’s to create a game world that resembles an archipelago form. From the generator test results related to the playability and performance testing, it shows that map are being generated by the generators are playable and performance that are analyzed using Big O notation show O (n) (linear).
Analisa Sistem Identifikasi DDoS Menggunakan KNN Pada Jaringan Software Defined Network(SDN)
Authors: Azis Muhammad Misbahul , Azhar Yufiz , Syaifuddin Syaifuddin
Published: July 2020

AbstrakAbstrak - Kebutuhan pada jaringan mengutamakan performa untuk mendukung sebuah efisiensi jaringan merupakan hal penting untuk saat ini. Penentuan konfigurasi yang semakin banyak dan kompleks serta kontrol jaringan yang semakin rumit, membuat jaringan semakin tidak fleksibel dan susah untuk diterapkan pada sebuah topologi jaringan yang besar. Software Defined Network (SDN) muncul dengan mekanisme yang dapat menyelesaikan masalah tersebut. Pada dasarnya konsep dari Software Defined Network (SDN) adalah memisahkan kontroller dan data/forwarding plane, sehingga mampu untuk me-menejemen jaringan yang begitu banyak dalam sebuah kontroller. Namun pada kontroller belum memiliki keamanan yang cukup untuk melindungi dari serangan jaringan seperti DDoS, SYN Flooding Attack sehingga kontroller akan menjadi target dari attacker. Sehingga penelitian ini mengusulkan penambahan aplikasi machine learning pada kontroller untuk menangani serangan seperti DDoS dan SYN Flooding Attack. Dalam penelitian ini kontroller yang digunakan adalah ryu controller yang menggunakan bahasa pemrograman python. Dalam penelitian ini menggunakan topologi linear pada mininet dan membuat paket dalam format .pcap untuk pengujian serangan yang dilakukan. Sehingga dapat mengetahui rata-rata jumlah paket yang masuk dan keluar dan keberhasilan dalam melakukan mitigasi terhadap paket yang dianggap DDoS.Abstract The need for the network to prioritize performance to support a network efficiency is important for now. Determination of configurations that are more and more complex and increasingly complicated network control, makes the network more inflexible and difficult to apply to a large network topology. Software Defined Network (SDN) appears with a mechanism that can solve the problem. Basically the concept of Software Defined Network (SDN) is to separate the controller and the data / forwarding plane, so that it is able to manage so many networks in a controller. But the controller does not have enough security to protect against network attacks such as DDoS, SYN Flooding Attack so the controller will be the target of the attacker. So this study proposes adding machine learning applications to controllers to handle attacks such as DDoS and SYN Flooding Attack. In this study the controller used is the Ryu controller that uses the Python programming language. In this study using a linear topology on Mininet and create a package in. Pcap format for testing attacks carried out. So as to know the average number of incoming and outgoing packages and success in mitigating packages that are considered DDoS.
Peranan Pramuwisata Dan Pemerintah Dalam Mencegah Pelecehan Kepariwisataan Budaya Bali
Authors: Yanti A. A. Istri  Eka Krisna
Published: July 2020

Bali adalah salah satu tujuan wisata paling populer di dunia. Model pariwisata yang dikembangkan di Bali adalah Wisata Budaya Bali yang didasarkan pada filosofi Tri Hita Karana yang merupakan sumber ajaran Hindu. Munculnya fenomena pemandu ilegal yang tidak bersertifikat dalam menjelaskan keunikan Wisata Budaya Bali, memiliki implikasi untuk pelecehan budaya Bali ke dalam latar belakang penulisan penelitian ini. Studi ini berfokus pada meneliti peran pemandu dan pemerintah dalam mencegah pelecehan terhadap Wisata Budaya Bali. Dalam penelitian ini, ada dua formulasi masalah yang dipelajari; apa prosedur sertifikasi kompetensi panduan di Provinsi Bali dan bagaimana pengawasan Panduan Pemerintah di Provinsi Bali. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian normatif dengan fokus mempelajari legislasi dan literatur yang relevan dengan topik penelitian. Berdasarkan ketentuan Pasal 15 Peraturan Provinsi Bali Nomor 5 Tahun 2016 Tentang Pemandu Wisata, diketahui bahwa kewenangan pengawasan pemandu dimiliki oleh Gubernur Provinsi Bali yang dilakukan oleh departemen. Namun, ketentuan Pasal 15 (5) Peraturan Daerah Provinsi Bali Nomor 5 Tahun 2016 tentang Panduan menyebutkan bahwa Gubernur Provinsi Bali membentuk tim pemandu untuk melakukan pengawasan pemandu. Selanjutnya, Peraturan Provinsi Bali Nomor 5 Tahun 2016 Tentang Panduan tidak menjelaskan lebih lanjut mekanisme kerja tim pengawas, oleh karena itu pemerintah perlu membentuk peraturan yang lebih ketat terkait dengan pengawasan panduan untuk menjaga citra Wisata Budaya Bali dan memberikan perlindungan hukum untuk pemandu wisata bersertifikat di Provinsi Bali.
A Pressure-based Compressible-Liquid Flow Model for Computation of Instantaneous Valve Closure in Pipes
Authors:   Department of Aerospace Engineering, Indian Institute of Space Science and Technology, Thiruvananthapuram–695547, Kerala, India, Chandran R. Jishnu , Salih A.
Published: July 2020

A generalized, pressure-based compressible-liquid flow model is proposed for the isothermal low-speed flow of liquids. The flow model incorporates dedicated equations of state for liquids into the pressure-based solvers to simulate the compressible effects in liquids. The model’s capability to handle compressible liquid flow problems is evaluated against the well-established density-based water-hammer model. The isothermal flow problem of an instantaneous valve closure in an irrigation pipe and the associated flow transients are numerically solved using the proposed model by employing the Tait equation of state in conjunction with a segregated pressure-based solver algorithm. The transient flow problem is solved for a range of operating pressures, and the surge in pressure and variation of other flow properties and their interrelations are studied in detail. The proposed model could successfully capture the entire physics of the problem, including the compressible modeling of the liquid involved and could produce high accuracy numerical results. The results suggest that the pressure-based compressible-liquid flow model is a reliable and computationally inexpensive numerical tool for isothermal low-speed compressible liquid flow computations.
Hydrophobicity Character of A-lactalbumin Nanoparticles: An Ultrasonic Study
Authors:   Department of Physics, Annamalai University, Chidambaram–608 002, TN, India, Kavitha K. , Palaniappan L.
Published: July 2020

Effect of pH and cosolvent on the stabilization of protein structure is a well established study in protein or food science. Among the various applications of proteins, the use of protein nanoparticle as drug or bioactive compound carriers is the one which is of most interest to many diverse researchers. The synthesis of such protein nanoparticles and their characterization is of prior requirement for the realization of these drug or bioactive carriers. On this basis, the present work deals with the ultrasonic analysis of hydrophobic interactions exhibited by the a-lactalbumin nanoparticle synthesized by heat treatment using acetone as desolvating agent. In order to enrich the variations in hydrophobicity, heat or temperature and cosolvent (glucose) are included in the study. The results are interpreted in terms of the interactions existing among the components and the evolved discussions reveal the bulk nature of the medium is controlled by the existing hydrophobicity interactions. The obtained results indicate that the dependency of protein denaturation on heat and the strengthening of non- covalent interactions by the cosolvent and/or the steric exclusion effect can be attributed to the structural modifications of protein.
MEMBANGUN BUDAYA LITERASI MEMBACA DENGAN PEMANFAATAN MEDIA JURNAL BACA HARIAN
Authors: Wisuda Lubis Silvia Sandi
Published: July 2020

Membaca permulaan merupakan tahapan proses belajar membaca bagi siswa sekolah dasar kelas Berbagai penelitian memperlihatkan kebiasaan membaca bacaan bermutu berkontribusi terhadap tingkat kecerdasan seseorang. Dengan membaca, seseorang terbantu untuk melihat permasalahan dari berbagai sudut pandang dan menganggapnya sebagai tantangan yang harus diselesaikan. Ada banyak manfaat membaca, di antaranya membantu pengembangan pemikiran dan menjernihkan cara berpikir, meningkatkan pengetahuan, meningkatkan memori dan pemahaman. Dengan sering membaca, seseorang mengembangkan kemampuan untuk memproses ilmu pengetahuan, mempelajari berbagai disiplin ilmu, dan menerapkan dalam hidup. Budaya literasi membaca bukanlah sebuah hal mudah untuk dibangun karena butuh kesadaran dan semangat untuk membawa perubahan. Literasi membaca bukanlah sekedar kegiatan membaca biasa melainkan sebuah kegiatan yang bisa membangun budaya itu sendiri. Kegiatan literasi memang merujuk pada kemampuan dasar seseorang dalam membaca dan menulis. Sehingga selama ini, strategi yang dilakukan untuk meningkatkan kemampuan tersebut adalah menumbuhkan minat membaca dan menulis. Budaya literasi membaca menghasilkan dua manfaat yaitu membangun minat membaca dan membangun kegiatan membaca itu sendiri. Melalui membaca sama halnya dengan menggenggam seisi dunia, karena dalam bacaan bisa mengakses informasi dari seluruh dunia. Membangun budaya literasi membaca bisa dilakukan melalui banyak hal yang salah satunya dengan memanfaatkan media jurnal baca harian. Jurnal baca harian memiliki manfaat yang besar bagi pengembangan literasi membaca. Apabila dikolaborasikan dengan jam khusus membaca, selain menumbuhkan minat baca, jurnal baca harian dapat mengasah pemahaman akan isi buku. Jurnal baca harian merupakan cermin kompetensi dan kebiasaan berliterasi.
ENSINO DO MÉTODO DE PLANEJAMENTO ESPACIAL – CONSIDERAÇÕES SOBRE A INVESTIGAÇÃO DO TERRITÓRIO E DO USUÁRIO NO DESIGN DE INTERIORES
Authors: De Oliveira Gilberto Rangel , Costa Luiz Paulo Barbosa da , Pinna Julia Lamoglia Simas
Published: July 2020

O método de Planejamento Espacial é empregado como instrumento facilitador de ensino da disciplina Composição de Interiores I, na Escola de Belas Artes – UFRJ. São descritas as etapas do método, com enfoque no usuário e território. O resultado desse mapeamento teórico produz um conceito e o partido de projeto, elementos essenciais na elaboração do projeto gráfico de design de interiores.
LGBT victims of violence: An overview of European knowledge, policies and practices
Authors: Kovco-Vukadin Irma
Published: July 2020

Violent victimization of LGBT people is mostly focused on hate crime although
the scope of their possible (and real) victimization is much broader. Since
the scientific literature on this topic is dominantly from North America, the
aim of this paper is an overview of European knowledge, policies and
practices. Three questions are posed in the paper: 1) what are the European
insights into the incidence of violent victimization of LGBT people, 2) how
does European scientific interest into this topic look like, and 3) do
European policies and practices serve as an adequate response to the violent
victimization of LGBT people. The incidence of violent victimization of LGBT
people ranges from 10% to 32%, with threats of physical violence being the
main form. Victims report their victimization within the range of 17% to 22%
of cases. The interest of European scientists in this problem is scarce and
partial. Violent victimization of LGBT people is dominantly conceptualized in
European policies and strategies through the constructs of discrimination and
hate crime.
Advancement of the assistance and support system for victims and witnesses of criminal offences – the role of civil society organizations in Croatia
Authors: Drozdjan-Kranjcec Anamaria , Mamula Maja
Published: July 2020

Legal and institutional framework of the system of support to victims of
criminal offences as well as the significance of the Directive 2012/29/EU
and its implementation in the legislation of the Republic of Croatia are
elaborated in this paper. In addition, certain difficulties related to the
victim support system in practice are identified. A new model of service
provision to victims and witnesses of criminal offences through founding and
active work of The Network of Support and Co-operation for Victims and
Witnesses of Criminal Offences and its results after two years of work are
presented. The role and importance of civil society organizations in this
field are emphasized. The conclusion declares establishment of more quality
system of assistance and support for victims and witnesses of criminal
offences. A part of the system is supported institutionally through the
activities within the Ministry of Justice and specially established
departments within the courts. A part of support is ensured
noninstitutionally through the work of The Network of Support and
Co-operation for Victims and Witnesses of Criminal Offences. It is exactly
that involvement of motivated, educated and dedicated civil society
organizations turned out as a key factor in establishing the efficient
system. We will be able to state that certain milestones are achieved after:
1) further development of the system as a whole which refers to amending and
implementing the existing legislative framework, 2) establishing a larger
number of departments within courts, 3) spreading the Network? s services to
all counties in Croatia, and 4) strengthening capacity of organizations that
are service providers. The key is to ensure the financial means for the
Network? s activities, strengthening networking of all stakeholders and
introducing systemical control of service provision quality for victims and
witnesses on all levels.