bluuebunny/crossref_metadata_2025 huggingface dataset:
ISO 21526 Conform Metadata Editor for FAIR Unicode SKOS Thesauri
Authors: Stöhr Mark R. , Günther Andreas , Majeed Raphael W.
Published: May 2021

Metadata repositories are an indispensable component of data integration infrastructures and support semantic interoperability between knowledge organization systems. Standards for metadata representation like the ISO/IEC 11179 as well as the Resource Description Framework (RDF) and the Simple Knowledge Organization System (SKOS) by the World Wide Web Consortium were published to ensure metadata interoperability, maintainability and sustainability. The FAIR guidelines were composed to explicate those aspects in four principles divided in fifteen sub-principles. The ISO/IEC 21526 standard extends the 11179 standard for the domain of health care and mandates that SKOS be used for certain scenarios. In medical informatics, the composition of health care SKOS classification schemes is often managed by documentalists and data scientists. They use editors, which support them in producing comprehensive and valid metadata. Current metadata editors either do not properly support the SKOS resource annotations, require server applications or make use of additional databases for metadata storage. These characteristics are contrary to the application independency and versatility of raw Unicode SKOS files, e.g. the custom text arrangement, extensibility or copy & paste editing. We provide an application that adds navigation, auto completion and validity check capabilities on top of a regular Unicode text editor.
Needs for an Integration of Specific Data Sources and Items – First Insights of a National Survey Within the German Center for Infection Research
Authors: Jakob Carolin E.M. , Stecher Melanie , Fuhrmann Sandra , Wingen-Heimann Sebastian , Heinen Stephanie , Anton Gabriele , Behnke Michael , Behrends Uta , Boeker Martin , Castell Stefanie , Demski Hans , Diefenbach Maximilian , Falgenhauer Jane C. , Fritzenwanker Moritz , Gastmeier Petra , Gerhard Markus , Glöckner Stephan , Golubovic Mira , Gunsenheimer Bartmeyer Barbara , Ingenerf Josef , Kaiser Rolf , Körner Marie-Luise , Loag Wibke , Mchardy Alice , Molitor Ernst , Nübel Ulrich , Pritsch Michael , Ramharter Michael , Rieg Sigbert R. , Rupp Jan , Schindler Daniela , Schwudke Dominik , Spinner Christoph , Stottmeier Benjamin , Vehreschild Maria , Willmann Matthias , Vehreschild Jörg J.
Published: May 2021

State-subsidized programs develop medical data integration centers in Germany. To get infection disease (ID) researchers involved in the process of data sharing, common interests and minimum data requirements were prioritized. In 06/2019 we have initiated the German Infectious Disease Data Exchange (iDEx) project. We have developed and performed an online survey to determine prioritization of requests for data integration and exchange in ID research. The survey was designed with three sub-surveys, including a ranking of 15 data categories and 184 specific data items and a query of available 51 data collecting systems. A total of 84 researchers from 17 fields of ID research participated in the survey (predominant research fields: gastrointestinal infections n=11, healthcare-associated and antibiotic-resistant infections n=10, hepatitis n=10). 48% (40/84) of participants had experience as medical doctor. The three top ranked data categories were microbiology and parasitology, experimental data, and medication (53%, 52%, and 47% of maximal points, respectively). The most relevant data items for these categories were bloodstream infections, availability of biomaterial, and medication (88%, 87%, and 94% of maximal points, respectively). The ranking of requests of data integration and exchange is diverse and depends on the chosen measure. However, there is need to promote discipline-related digitalization and data exchange.
Accessing the ECG Data of the Apple Watch and Accomplishing Interoperability Through FHIR
Authors: Bartschke Alexander , Börner Yannick , Thun Sylvia
Published: May 2021

Medical data generated by wearables and smartphones can add value to health care and medical research. This also applies to the ECG data that is created with Apple Watch 4 or later. However, Apple currently does not provide an efficient solution for accessing and sharing ECG raw data in a standardized data format. Our method aims to provide a solution that enables patients to share their Apple Watch’s ECG data with any health care institution via an iPhone application. We achieved this by implementing a parser in Swift that converts the Apple Watch’s raw ECG data into a FHIR observation. Furthermore, we added the capability of transmitting these observations to a specified server and equipping it with the patient’s reference number. The result is a user-friendly iPhone application, enabling patients to share their Apple Watch’s ECG data in a widely known health data standard with minimal effort. This allows the personnel involved in the patient’s treatment to use data that was previously difficult to access for further analyses and processing. Our solution can facilitate research for new treatment methods, for example, utilizing the Apple Watch for continuous monitoring of heart activity and early detection of heart conditions.
Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping
Authors: Chen Zhehuan , Liu Hao , Butler Alex , Ostropolets Anna , Weng Chunhua
Published: May 2021

2,719 distinctive phenotyping variables from 176 electronic phenotypes were compared with 57,150 distinctive clinical trial eligibility criteria concepts to assess the phenotype knowledge overlap between them. We observed a high percentage (69.5%) of eMERGE phenotype features and a lower percentage (47.6%) of OHDSI phenotype features matched to clinical trial eligibility criteria, possibly due to the relative emphasis on specificity for eMERGE phenotypes and the relative emphasis on sensitivity for OHDSI phenotypes. The study results show the potential of reusing clinical trial eligibility criteria for phenotyping feature selection and moderate benefits of using them for local cohort query implementation.
Fine-Grained Simplification of Medical Documents
Authors: Koptient Anaïs , Londres Muriel , Grabar Natalia
Published: May 2021

Easy access to medical and health information for children, foreigners and patients is an important issue for the modern society and research. Indeed, misunderstanding of medical and health information by patients may have a negative impact on their healthcare process and health. Even if several simplification guidelines exist, they are difficult to use by medical experts (i.e. lack of time, difficulty to respect the criteria). Existing simplification systems mainly address some lexical or syntactic transformations. We propose to combine lexical and syntactic simplifications within one rule-based system and to make the process fine-grained thanks to a better control of the grammaticality of sentences.
DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning
Authors: Hadj Bouzid Amel Imene , Yahiaoui Said , Lounis Anis , Berrani Sid-Ahmed , Belbachir Hacène , Naïli Qaïs , Abdi Mohamed El Hafedh , Bensalah Kawthar , Belazzougui Djamal
Published: May 2021

Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interpretation needs to be achieved. Deep learning (DL) can support critical medical tasks including diagnostics, and DL algorithms have successfully been applied to the classification and detection of many diseases. This work aims to use deep learning methods that can classify patients between Covid-19 positive and healthy patient. We collected 4 available datasets, and tested our convolutional neural networks (CNNs) on different distributions to investigate the generalizability of our models. In order to clearly explain the predictions, Grad-CAM and Fast-CAM visualization methods were used. Our approach reaches more than 92% accuracy on 2 different distributions. In addition, we propose a computer aided diagnosis web application for Covid-19 diagnosis. The results suggest that our proposed deep learning tool can be integrated to the Covid-19 detection process and be useful for a rapid patient management.
A Deep Learning Framework for Automated ICD-10 Coding
Authors: Chraibi Abdelahad , Delerue David , Taillard Julien , Chaib Draa Ismat , Beuscart Régis , Hansske Arnaud
Published: May 2021

The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of the widely used classification system for diagnoses and procedures to assign diagnosis codes to Electronic Health Record (EHR) associated with a patient’s stay. The aim of this paper is to propose an automated coding system to assist physicians in the assignment of ICD codes to EHR. For this purpose, we created a pipeline of Natural Language Processing (NLP) and Deep Learning (DL) models able to extract the useful information from French medical texts and to perform classification. After the evaluation phase, our approach was able to predict 346 diagnosis codes from heterogeneous medical units with an accuracy average of 83%. Our results were finally validated by physicians of the Medical Information Department (MID) in charge of coding hospital stays.
DITAS: An Integrated Gateway to E-health Communications
Authors: Bitaraf Ehsan , Sarani Rad Fatemeh , Jafarpour Maryam , Jami Vajiheh , Keshavarz Safari Ebrahim , Nasimi Pourya
Published: May 2021

Today, the demand for health-oriented systems to facilitate and improve treatment processes is growing. For different information systems with different structures and technologies to be able to communicate with each other, a single gateway is required. The gateway acts as an interface between information systems and unifies protocols, rules, and standards related to communication processes. Health-related systems need a unique regulator that explains data models, coding, and data exchange structures. Moreover, the gateway has control over information systems and the data transmitted between them. In this paper, we explain an integrated gateway of health information exchange named DITAS which is a bridging point between health-related systems.
Portal of Medical Data Models: Stakeholder Feedback and Requirements
Authors: Meidt Alexandra , Riepenhausen Sarah , Neuhaus Philipp , Hegselmann Stefan , Rafee Ahmed , Varghese Julian , Dugas Martin
Published: May 2021

The Portal of Medical Data Models has been developed since 2011 by the University of Münster. Its main goals are transparency, standardization and secondary use of medical metadata. Via two online surveys feedback from stakeholders of German health research was collected regarding the portal’s contents. The surveys confirmed great interest in secondary use of medical forms.
Performance of SURF and SIFT Keypoints for the Automated Differentiation of Abnormality in Chest Radiographs
Authors: Govindarajan Satyavratan , Swaminathan Ramakrishnan
Published: May 2021

In this work, automated abnormality detection using keypoint information from Speeded-Up Robust feature (SURF) and Scale Invariant Feature Transform (SIFT) descriptors in chest Radiographic (CR) images is investigated and compared. Computerized image analysis using artificial intelligence is crucial to detect subtle and non-specific alterations of Tuberculosis (TB). For this, the healthy and TB CRs are subjected to lung field segmentation. SURF and SIFT keypoints are extracted from the segmented lung images. Statistical features from keypoints, its scale and orientation are computed. Discrimination of TB from healthy is performed using SVM. Results show that the SURF and SIFT methods are able to extract local keypoint information in CRs. Linear SVM is found to perform better with precision of 88.9% and AUC of 91% in TB detection for combined features. Hence, the application of keypoint techniques is found to have clinical relevance in the automated screening of non-specific TB abnormalities using CRs.
The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring
Authors: Polce Francesca , Lanzola Giordano , Gabetta Matteo , Parimbelli Enea , Wilk Szymon , Glasspool David , Leizer Roy , Kogan Alexandra , Quaglini Silvana
Published: May 2021

The CAPABLE project has been funded by the EU Horizon 2020 Programme over the years 2020-24 to support home care. A system is being designed and implemented supporting remote monitoring and virtual coaching for cancer patients. The system is based on a distributed modular architecture involving many components encapsulating various knowledge. The Case Manager has been designed as a separate component with the aim of coordinating the problem solving strategies. A first version of the Case Manager has been released and used by the components in a prototypical scenario shown at the first project review.
A Smartphone App for Bedside Recording of Nursing Handovers in Haemodialysis Units
Authors: Soilemezi Charalampia , Liaskos Joseph , Mantas John
Published: May 2021

The purpose of this study is to present the design, development and initial evaluation of a smartphone software (mobile app), for the needs of nursing bedside shift reporting and documentation. The app records and process nursing handovers concerning haemodialysis patient data, and it runs on Android smartphones, offering a structured and friendly user interface. Data are collected, processed, stored and accessed easily, quickly and securely by authorized users. The evaluation, based on discussions and semi-structured interviews with a group of nurses, showed positive feedback on the user interface, structure and functions of the prototype. It can be a useful and efficient tool for the reporting and communication needs between nurses. Conclusions about the limitations of the study and future developments are reported.
Current Status of e-Health in Burkina Faso
Authors: Kone/Tapsoba Lydie Simone , Traore Yaya , Malo Sadouanouan
Published: May 2021

The term e-health refers to all areas where information and communication technologies (ICT) are used for health. E-health appears more and more as a relevant solution to meet the challenges health systems are facing. However, despite its interest, e-health has long remained underexploited in Burkina Faso even if many softwares have been the subject of investments in hospitals as part of a modernization of administrative operations, which does not directly contribute to the quality of care. Hospital information systems (HIS) are the foundation on which e-health is based. They organize, at the IT level, the exchange of information between departments within the same hospital. It is on those systems that the shared medical record (SMR) is based. In this paper, we present an inventory of the implementation of e-health in Burkina Faso. We collected data on hospital information systems deployed in major hospitals in Burkina Faso. Then we analyzed the level of interoperability of those hospital information systems and we finally proposed an interoperability approach adapted to Burkina Faso.
Perception of a Tracing App During the Covid-19 Pandemic in Germany
Authors: Hannemann Niels , Götz Nina-Alexandra , Schmidt Lisa , Hübner Ursula , Babitsch Birgit
Published: May 2021

Access to digital technologies depends on the availability of technical infrastructure, but this access is unequally distributed among social groups and newly summarized under the term digital divide. The aim is to analyze the perception of a tracing app to contain Covid-19 in Germany. The results showed that participants with the highest level of formal education rate the app as beneficial and were the most likely to use the app.
Criteria for Assessing and Recommending Digital Diabetes Tools: A Delphi Study
Authors: Larbi Dillys , Randine Pietro , Årsand Eirik , Bradway Meghan , Antypas Konstantinos , Gabarron Elia
Published: May 2021

Diabetes self-management, an integral part of diabetes care, can be improved with the help of digital self-management tools such as apps, sensors, websites, and social media. The study objective was to reach a consensus on the criteria required to assess and recommend digital diabetes self-management tools targeting those with diabetes in Norway. Healthcare professionals working with diabetes care from all health regions in Norway were recruited to participate in a three-round Delphi study. In all rounds, the panellists rated criteria identified in a systematic review and interviews on a scale from 0-10, with the option to provide comments. On a scale of 0:not important to 10:extremely important, the highest rated criteria for assessing and recommending digital diabetes self-management tools were “Usability” and “Information quality”, respectively. For assessing apps, “Security and privacy” was one of the lowest rated criteria. Having access to a list of criteria for assessing and recommending digital self-management tools can help diabetes care stakeholders to make informed choices in recommending and choosing suitable apps, websites, and social media for self-management. Future work on quality assessment of digital health tools should place emphasis on security and privacy compliance, to enable diabetes care stakeholders focus on other relevant criteria to recommend or choose and use such tools.
How Artificial Intelligence for Healthcare Look Like in the Future?
Authors: Denecke Kerstin , Gabarron Elia
Published: May 2021

Research on artificial intelligence (AI) for healthcare gained interest in recent years. However, the use of AI in daily clinical practice is still rare. We created and distributed an online survey among professionals working within the health informatics field to explore their views. The provided answers were classified into referring or not to: 1) Application areas; 2) Medical specialities; 3) Specific technologies; 4) Use cases; 5) Citizens involvement; and 6) Challenges. We received 42 valid responses. With regard to the sentiment of the answers, 71,4% were classified by the AFINN tool as being positive. In light of the open question, 76,2% of the respondents referred to possible applications areas. They think the most frequent uses will be for diagnostic, decision making and treatment. 54,8% of respondents referred to use cases, being personalized care and daily practice the most popular scenarios. 28,6% mentioned citizens’ involvement, and 23,8% medical specialities in which AI might be used. There is a mostly positive attitude towards the application of AI in healthcare, in particular regarding its future use for realising routine tasks. From these results, we conclude that research should further focus on realising AI-based applications for relieving health professionals from repetitive tasks and optimize healthcare processes.
Information Needs at the O.R. Waiting Room
Authors: Colussi Giuliana , Frutos Eliana , Rapisarda Romina , Sommer Janine , Descalzo Juan , Plazzotta Fernando , Luna Daniel
Published: May 2021

The objective of this study was to investigate the difficulties and information needs that both patients and their companions have in the context of a scheduled surgery. Observations in the operating room waiting zone and semi-structured interviews were conducted to patients with scheduled surgeries, their companions, administrative staff members and surgeons. We developed a journey map to explain the patient’s experience through the perioperative process. The emerging categories were Fragmented communication, Understanding the surgical process and Waiting times. Knowing the information needs of patients and companions was important to identify problems and opportunities for improvement in our institution’s Personal Health Records.
Usability Design in Medical Informatics: A Prospective Research Project
Authors: Reinert David , Schueler Katja , Storf Holger
Published: May 2021

This short paper aims to raise awareness of good usability design in medical computer sciences. We present a research plan about developing usability design guidelines for web application development in medical informatics. Following a nimble creation process we shall create a guideline tailored for software developers, that aims to improve communication between the developer and the medical professional. Results are therefore expected to impact the way applications are being developed within the medical sector.
Evaluation of a Health Informatics Postgraduate Program
Authors: Charalampidou Martha , Zoulias Emmanouil , Mantas John
Published: May 2021

The 4th industrial revolution of informatics and data is an important factor of modern health care provision. The WHO, the EU and other governmental authorities have recognised the new needs. The health care professionals face this change in daily work. The higher education community has responded on time with a wide range of relevant programs. In order to achieve the best results for health care related educational programs an evaluation procedure is needed. In this work a brief part of the evaluation of a Health Informatics program is presented.
Evaluation of Mobile Phone Healthcare Applications During the Covid-19 Pandemic
Authors: Saeidnia Hamid Reza , Mohammadzadeh Zahra , Hassanzadeh Mohammad
Published: May 2021

Our aim in the present study was to evaluate the HealthBuddy+ smartphone app, designed and implemented by the World Health Organization for the European region. For this purpose, we have used Heuristic evaluation method. The tools utilized in this study included 10 heuristics and measure System Usability Scale (SUS), as well as Nielsen’s five-point Severity Ranking Scale.
Users’ Assessement of the Visualization with Gauges of a Guideline-Based Decision Support System Output: A Qualitative Study of Focus Groups
Authors: Abdellatif Abir , Bouaud Jacques , Tholomier Mélissa , Belmin Joël , Seroussi Brigitte
Published: May 2021

Computerized decision support systems (CDSSs) are still poorly routinely implemented in clinical practices mainly because of usability problems related to the technology interface. We previously proposed to use gauges to visualize the output of a guideline-based CDSS applied to malnutrition and pressure ulcer management in nursing homes. This interface was assessed by four focus groups including 16 healthcare professionals with expertise in geriatrics. A USE-like questionnaire was distributed. Participants considered the dashboard-with-gauges visualization was useful (94%), easy to use (63%), easy to learn (88%), and 88% thought they could be satisfied with it. However, concerns were expressed about the difficulty to follow up multiple healthcare problems.
Bioinformatic Analysis of MIRU-VNTR Repeats of Mycobacterium Tuberculosis Strains from Lagos, Nigeria
Authors: Barro Seydou Golo , Bance Faouziatou , Dicko Amadou , Gomgnibou Michel , Staccini Pascal
Published: May 2021

The analysis of Mycobacterial Interpersed Repetitive Unit-Variable Number of Tandem Repeat (MIRU-VNTR) discriminates against the species of M. tuberculosis involved in the transmission of the disease. The reference method is the manual method. Our study involved developing a bioinformatics method of interpreting MIRU-VNTR and comparing it to the manual method. For this we used two softwares, namely imagej and Microsoft Excel. Imagej was used to determine the migration distance of the bands and for the measure of size in a base pair. The number of repetitions of 18 markers used was analyzed with Excel macro. The results obtained were: 27% of the results exactly consistent, 16% of outliers generated by the macro and 57% of the results not matching.
Randomization of Clinical Trial Participants via an Integrated Web Service
Authors: Bonotis Panos , Chytas Achilleas , Zacharioudakis Giorgos , Karamanidou Christina , Koumakis Lefteris , Stamatopoulos Kostas , Natsiavas Pantelis
Published: May 2021

Randomization is an inherent part of Randomized Clinical Trials (RCTs), typically requiring the split of participants in intervention and control groups. We present a web service supporting randomized patient distribution, developed in the context of the MyPal project RCT. The randomization process is based on a block permutation approach to mitigate the risk of various kind of biases. The presented service can be used via its web user interface to produce randomized lists of patients distributed in the various study groups, with a variant block size. Alternatively, the presented service can be integrated as part of wider IT systems supporting clinical trials via a REST interface following a micro-service architectural pattern.
Alltagssubjekt, Nord-Süd und Glokalisierung
Authors: Hürtgen Stefanie
Published: May 2021

Der Beitrag diskutiert im ersten Teil kapitalismus- und subjekttheoretische Begrenzungen des Konzepts der »imperialen Lebensweise«, unter anderem in Auseinandersetzung mit der Regulationstheorie und unter Rückgriff auf den allgemeinen marxschen Begriff von Arbeit als kreativer sozialer Praxis. Im zweiten Teil folgt eine raumbegriffliche Kritik an der konzeptionellen Gegenüberstellung von Nord und Süd, und es wird eine raumtheoretische Aktualisierung entlang von drei Kategorien unternommen: »strukturelle Heterogenität«, »Glokalisierung« und »fragmentierende Entwicklung«.
From practice to prediction about the trend to develop virtual classroom model on cloud computing
Authors: Trang Tran Thi Thuy
Published: May 2021

The model "classroom in the cloud" is implemented with the same functionalities as a traditional classroom so that global learners can experience learning without having to go to school, and can personalize schedule and learning program based on their learning demand and situation. From the perspective of social science , the article structured the method to implement and operate the virtual classroom using cloud computing technology. Besides, the article also surveyed 116 learners' satisfaction after experiencing the actual "classroom in the cloud" through the class of Japanese conversation subjects at the Department of Japanese Studies, University of Social Sciences and Humanities, Vietnam National University Ho Chi Minh City held during the social distancing period (from March 2020 to the end of May 2020) according to the regulation of Vietnam goverment. The research outcomes of virtual class implementation and the results of attitude studies, new learning method acceptance show that 58% of the students felt satisfied after participating in virtual classroom. Based on that experience, the author pointed out five predictions about the trend as well as the impact of distance learning on the learning society in the near future.
Az anyagcentrikus hadikultúra megjelenése a tengeri hadviselésben
Authors: Leib Péter
Published: May 2021

Tanulmányomban az anyagcentrikus hadikultúra tengeri hadviselésben történő megjelenésével kívánok foglalkozni.  Az első részben definiálom a hadikultúra fogalmát, illetve  bemutatom a mozgás-, az anyagcentrikus, illetve a gerilla- hadikultúrák általános jellemzőit. Az írás második részében  azt vizsgálom, hogy a tengeri hadviselésben hogyan  jelennek meg az anyagcentrikus hadikultúra jellemzői. Ennek bemutatására a tengeri hadelmélet két  stratégájának, Alfred Thayer Mahan és Sir Julian Stafford Corbett munkásságára támaszkodom.
Research on the Development Path of Campus Football in Zhejiang Province
Authors: Zhan Chongjiang , Xu Boliang , Cao Li
Published: May 2021

Through combing the domestic and foreign literature on campus football and using questionnaire surveys, interviews and other methods, a comprehensive analysis of the development path of campus football in Zhejiang Province is conducted. Research conclusions: Regarding the popularization status, Zhejiang campus football penetration rate is regional. High penetration rate is mainly concentrated in eastern Zhejiang, southern Zhejiang, northern Zhejiang and Zhejiang middle-developed cities, and the underdeveloped regions of western Zhejiang need to be strengthened. Regarding the curriculum setting, there is no uniform standard for curriculum setting, and the teaching hours, syllabus, teaching content and teaching evaluation of each school are also different. Regarding the psychological willingness, parents and schools in junior and senior high schools do not support football, but students are more interested in football. And regarding the competition system, there are differences in the campus football competition system between primary and secondary schools and colleges.
США ТА КАНАДА: ТЕНДЕНЦІЇ ЕКОНОМІЧНОГО РОЗВИТКУ І ПАРТНЕРСТВА
Authors: Манаєнко Ірина , Бурий Єгор , Іванова Дар’я
Published: May 2021

Стаття присвячена висвітленню стану економіки двох найвпливовіших країн світу – США та Канади. За допомогою економічного аналізу авторами статті визначено цілий ряд факторів через що ці країни мають перевагу рештою світу. Поміж цих фактов були: рівень залежності між економічним зростанням та взаємовідносинами даних країн; ступінь залученості країн Північної Америки до міжнародних інтеграційних процесів, обсяг експорту та імпорту, важливі події у розвитку країн. Крім цього, у статті показано динаміка основних макроекономічних показників (ВВП та детальну структуру обігу товарів). Вивчення даного матеріалу призначене для усіх охочих з метою подальшого розуміння колосального успіху розвинутих країн, як наслідок – для формування стратегічних планів вітчизняної економіки. Більшість вчених та економістів впевнені, що в сучасній світовій економіці здатність країн залишатися конкурентоспроможними все більше покладається на здатність розробляти та комерціалізувати інноваційні технології. Тож наша місія – сприяти власним економічним інноваціям та промисловій конкурентоспроможності, просуваючи науку, стандарти та технології вимірювання таким чином, щоб підвищити економічну безпеку та покращити якість нашого життя.
OPTIMALISASI PRODUKSI SAWI (Brassica juncea, L.) PADA JENIS PUPUK KANDANG DAN KONSENTRASI PUPUK HAYATI
Authors: Subali Joko
Published: May 2021

Tanaman sayuran sawi berperan penting dalam kehidupan sehari-hari karena memiliki kadar air yang tinggi, nutrisi, pembentuk sifat basa, kaya akan vitamin dan mineral, rendah kalori, serta kaya akan serat. Salah satu kendala  yang  dihadapi  pada  budidaya  tanaman  sawi  adalah kandungan  bahan organik tanahnya yang rendah sehingga kurang mendukung pertumbuhan  tanaman. Upaya  untuk  mengatasi  masalah  tersebut dilakukan  melalui  pemupukan  menggunakan pupuk organik seperti pupuk kandang. Selain pemberian pupuk kandang, pemberian pupuk hayati juga merupakan salah satu upaya dalam mengoptimalisasi produksi sawi.Tujuan penelitian ini untuk mengetahui optimalisasi produksi sawi (Brassica juncea L.) pada jenis pupuk kandang dan konsentrasi pupuk hayati, serta interaksi kedua perlakuan tersebut. Penelitian ini dilaksanakan di Desa Sidodadi Kecamatan Langsa Kota, Kota Langsa dengan pH tanah 6,5 dan ketinggian tempat 8-10 meter di atas permukaan laut (m dpl). Rancangan yang digunakan di dalam penelitian ini adalah menggunakan Rancangan Acak Kelompok (RAK) pola faktorial yang terdiri dari 2 faktor. Faktor pertama jenis pupuk kandang (J), dan faktor kedua konsentrasi pupuk hayati Bioboost (K). Interaksi perlakuan jenis pupuk kandang dan konsentrasi pupuk hayati Bioboost berpengaruh nyata terhadap parameter jumlah daun umur 14 HST, sedangkan parameter lain berpengaruh tidak nyata. Interaksi terbaik terdapat pada kombinasi pupuk kandang ayam dengan konsentrasi pupuk hayati Bioboost 120 cc/liter air.
Üreticilerin Dip Zeytin Hasat Kararı Üzerinde Etkili Olan Faktörlerin Belirlenmesi: İzmir İli Örneği
Authors: ALTEKİN Hatip , DEMİRBAŞ Nevin
Published: May 2021

Öz

Dip zeytin, fizyolojik olarak olgunlaşan ve yere düşen zeytinlerdir. Toplanmasının zor ve uzun bir süreç gerektirmesi nedeniyle dip zeytin hasadı genellikle üreticiler tarafından tercih edilmemektedir. Toplanmayan dip zeytinlerin hastalık ve zararlılara konukçuluk yapması ve bu nedenle bir sonraki üretim dönemini olumsuz etkilemesi teknik ve ekonomik açıdan sorun oluşturabilmektedir. Dip zeytinlerin geç toplanması ve dal zeytinlerle karıştırılması bu zeytinlerden elde edilen zeytinyağı kalitesini olumsuz etkilemektedir. Bu araştırmanın amacı, İzmir ilinin önemli zeytin üretim bölgelerinden biri olan Foça ilçesinde üreticilerin dip zeytin hasat kararı üzerinde etkili olan faktörlerin ortaya konmasıdır. Araştırmada görüşülen üretici sayısı oransal örnekleme yöntemi ile 116 olarak belirlenmiştir. Çalışmada öncelikle zeytin üreticilerinin sosyo-ekonomik özellikleri ortaya konulmuştur. Üreticilerin dip zeytin hasat kararı üzerinde etkili olan faktörlerin belirlenmesi için Binary Lojistik Regresyon Analizi’nden yararlanılmıştır. Analiz sonuçlarına göre üreticilerin eğitim düzeyi, teknik destek, örgütlenme durumu, erken ve mekanik hasat ile ek bir tarımsal faaliyetle uğraşmanın dip zeytin hasat kararı üzerinde etkili olduğu belirlenmiştir. Zeytin ve dolayısıyla zeytinyağı üretiminde kalitenin sürdürülebilirliği için dip zeytinlerin bekletilmeden hasat edilmesi ve dal zeytinlerle ayrı toplanması ve taşınması önerilmektedir.
Journalistic Mass Media Management
Authors: Saragih M. Yoserizal
Published: May 2021

This study aims to discuss the Journalistic Mass Media Management. This study use quantitative method. The result shows that Mass media consists of printed mass media and electronic mass media. Print mass media in the form of newspapers, magazines, books, tabloids, and so on. Meanwhile, electronic mass media can be in the form of television, internet and radio. The mass media also has several functions, including an information function, an agenda function, a liaison function for people, an education function, a persuasion function, and an entertaining function. The messages conveyed by the mass media are new, interesting, and important. The effects of the mass media are also very large for society. Self-change in society occurs because of the mass media. The effect of the mass media is also related to the message itself. Today, we know the development of the mass media is very fast. However, it would be nice if the mass media developed to carry messages in accordance with the culture of the Indonesian people. The mass media should provide useful messages for the wider community.
Prefiguring Housing Quality in Urban Communities in Ibadan Nigeria
Authors: Makinde Olusola Oladapo
Published: May 2021

This study focuses on explaining and understanding the physical factors which reinforced housing quality in urban communities in Ibadan Nigeria. It explained the different physical variables which prefigure housing quality. The study used a conceptual model which recognised nineteen building components consisting of special design features, safety features, building types, buildings orientation, buildings ages, wastes disposal methods and building forms among others. For the questionnaire survey, 985 (20%) respondents out of a total of 4,922 respondents in five randomly selected urban communities in Ibadan were systematically sampled. The information obtained from the survey revealed residents levels of perception of housing quality with their urban communities, which were analysed using Correlation and Relative Important Index. The significant levels of association were determined at either 0.05 or 0.01 probability levels. The results showed significant pearson’s correlation (r) among pairs of the twenty (20) identified relevant housing variables. The results suggested that these factors are stronger determinant of residents’ perception of housing quality. Consequently, closer consideration should be paid to this factor in the design and development of not only existing urban communities but also in the conceptualisation of new ones.
Risk of Diversion in Lending as One of the Corruption Crimes at BUMN / BUMD Banks
Authors: Purba Indra Gunawan
Published: May 2021

Abuse in granting credit is prohibited binding because the misappropriation is an act that is against the law (statutory regulation) so that it is an act against the law. The act of deviating from the provision of credit is an act that is detrimental to the bank and the general public, because the function of the bank is to drive the community's economy. If the bank is poorly managed and has the potential to cause chaos to the economy in a country. Regarding the management of BUMN / BUMD banks whose capital is from the APBN and APBD which are state money, the act of misappropriation in providing credit to BUMN / BUMD banks has the potential to cause losses to state finances. So that non-creditors qualify as criminal acts of corruption.
Using Liposomes to Alleviate the Toxicity of Chelerythrine, a Natural PKC Inhibitor, in Treating Non-Small Cell Lung Cancer
Authors: Wang Jiahui , Song Yijie , Zhang Ning , Li Ning , Liu Congying , Wang Bing
Published: May 2021

Aim of the Study

CHE can inhibit the proliferation of lung cancer cells and induce apoptosis. However, despite having in vivo toxicity, CHE has not been thoroughly investigated in term of its in vivo antitumor effect. The present study evaluated the antitumor effect of CHE on non-small cell lung cancer cell line HCC827.

Methods

The antitumor effect of CHE on HCC827 was evaluated, and its potential work mechanism was investigated. CHE long circulation liposomes (CHELPs) modified with polyethylene glycol have been optimized and characterized by in vivo pharmacokinetic studies. A HCC827 xenograft model was developed on BALB/c nude mice for the assessment of the effects of CHE and CHELP.

Results

CHE might inhibit HCC827 growth through the ROS/PKC-ϵ/caspase 3 pathway and glycolysis. The optimized CHELP remained stable after storage for 10 days at 4°C and exhibited sustained drug release, showing approximately one-fifteenth of the in vivo clearance rate and 86 times the absorption concentration of free drug. While increasing the bioavailability of CHE, CHELP showed a good therapeutic effect on HCC827 tumor-bearing nude mice and reduced the toxicity of the free drug, improving the safety of CHE.

Conclusions

CHE is a candidate drug for NSCLC, and liposomes are effective in alleviating the toxicity of CHE.
CA19.9 Serum Level Predicts Lymph-Nodes Status in Resectable Pancreatic Ductal Adenocarcinoma: A Retrospective Single-Center Analysis
Authors: Coppola Alessandro , La Vaccara Vincenzo , Fiore Michele , Farolfi Tommaso , Ramella Sara , Angeletti Silvia , Coppola Roberto , Caputo Damiano
Published: May 2021

Background

The choice between upfront surgery or neoadjuvant treatments (NAT) for resectable pancreatic ductal adenocarcinoma (R-PDAC) is controversial. R-PDAC with potential nodal involvement could benefit from NT. Ca (Carbohydrate antigen) 19.9 and serum albumin levels, alone or in combination, have proven their efficacy in assessing PDAC prognosis. The objective of this study was to evaluate the role of Ca 19.9 serum levels in predicting nodal status in R-PDAC.

Methods

Preoperative Ca 19.9, as well as serum albumin levels, of 165 patients selected for upfront surgery have been retrospectively collected and correlated to pathological nodal status (N), resection margins status (R) and vascular resections (VR). We further performed ROC curve analysis to identify optimal Ca 19.9 cut-off for pN+, R+ and vascular resection prediction.

Results

Increased Ca 19.9 levels in 114 PDAC patients were significantly associated with pN+ (p <0.001). This ability, confirmed in all the series by ROC curve analysis (Ca 19.9 ≥32 U/ml), was lost in the presence of hypoalbuminemia. Furthermore, Ca 19.9 at the cut off >418 U/ml was significantly associated with R+ (87% specificity, 36% sensitivity, p 0.014). Ca 19.9, at the cut-off >78 U/ml, indicated a significant trend to predict the need for VR (sensitivity 67%, specificity 53%; p = 0.059).

Conclusions

In R-PDAC with normal serum albumin levels, Ca 19.9 predicts pN+ and R+, thus suggesting a crucial role in deciding on NAT.
Empirical Analysis of the Influence of Green Credit on the Industrial Structure: A Case Study of China
Authors: Shao Chuan , Wei Jia , Liu Chuanzhe
Published: May 2021

In order to explore the influence of green credit on the optimization and rationalization of the industrial structure in China, based on the relevant data of the green credit balance, interest expenditure in six high-energy-consuming industries, and industrial structure in China from 2007–2019, the paper first measured the green credit index and the index of industrial structure optimization and rationalization by the methods of entropy weight and Theil index. Then, the coupling model was adopted to study the coupling degree and the coupling coordination degree between them, and the regression model was employed to further study the influence coefficient of green credit on the optimization and rationalization of industrial structure. Research showed that the degree of coupling between green credit and industrial structure rationalization presents three stages—extremely low coupling, low coupling, and moderate coupling—and the degree of coupling coordination presents two stages—extremely low coordination and low coordination. Similarly, the degree of coupling between them presents two stages—extremely low coupling and low coupling—and the degree of coupling coordination presents two stages—extremely low coordination and low coordination. Regression analysis showed that the influence coefficients of the green credit index on rationalization and optimization of industrial structure were 0.56 and 0.03, respectively, which supported the conclusion that the coupling degree between the former two is higher than that between the latter two on the one hand, and made it clear that green credit positively and effectively guides the rational allocation of resources and promotes secondary and tertiary industries on the other hand.
Prevalence of Malnutrition and Frailty in Elderly Cancer Patients and Resulting Impact on Primary Treatment Recommendations in Colorectal and Breast Cancer
Authors: Balzano Vittoria , Giraud Véronique Dardaine , Sauger Carine , Lefebvre Carole , Heitzmann Patrick , Lecomtef Thierry , Dorvalg Étienne
Published: May 2021

Objectives

To estimate the prevalence of malnutrition in elderly cancer patients and its association with frailty and primary cancer treatment recommendations in patients with the two most prevalent cancers (colorectal cancer, CRC and breast cancer, BC) in the Centre-Val de Loire region of France.

Methods

The entire cohort of 704 patients aged 75 years or older presenting with cancer who underwent comprehensive geriatric assessment (CGA) between 2014 and 2017 was included. Nutritional status, frailty (defined by the Balducci classification system based on CGA parameters and comorbidity), and pathological criteria were analyzed in terms of the cancer treatment recommendations suggested by geriatricians both in the whole cohort and in those with CRC and BC.

Results

In the whole group of 704 patients (84.3 +/- 4.8 years), the prevalence of malnutrition was 62.9%, and was higher in CRC than in BC patients (71.1% vs 55.4%, P < 0.01). In a multivariate analysis, malnutrition and frailty (as determined by the Balducci classification system) were independently related in CRC patients (OR: 7.28, 95%CI, 1.58∼34.03; P = 0.012) and were unrelated to metastasis [odds ratio (OR): 1.34, 95%CI, 0.56∼3.18; P = 0.5]. By contrast, malnutrition in BC patients was related exclusively to the extent of metastasis (OR: 3.52, 95%CI, 1.50∼8.24; P = 0.002). It was also demonstrated that geriatricians had a greater tendency to suggest only palliative care to CRC patients presenting with malnutrition (15.4% vs 2.7%, P = 0.006) than to BC patients (9.8% vs 5.4%, NS).

Conclusion

Malnutrition in elderly cancer patients is prevalent, especially in those with colorectal cancer, where malnutrition is frailty-related and may strongly impact on cancer treatment strategies.
The Potential Clinical Significance of the Serum Iron and Ferritin Status in Lung Cancer Patients
Authors: Guo Fei Fei , Cheng Shi Jia , Liu Yi Ning , Cui Jiu Wei
Published: May 2021

Background

An increasing number of studies have shown that iron, one of the indispensable trace elements in the human body, is closely related to the occurrence and development of cancer. However, few studies have clearly demonstrated the role of the iron levels in lung cancer patients, or the potential effects of inflammation on iron levels.

Methods

The clinical data for lung cancer patients and non-lung cancer participants were retrospectively analyzed. The serum iron and ferritin levels were measured and compared using a rank-sum test. The correlation between the serum iron/ferritin and C-reactive protein (CRP) was analyzed by rank correlation. The cut-off values for continuous variables were obtained by the receiver operating characteristic curve (ROC) method. An analysis of potential prognostic factors in lung cancer patients was conducted by univariate and multivariate survival analyses.

Results

The serum iron levels in patients with extensive small-cell lung cancer (SCLC) were lower than those with limited-stage SCLC, and the levels of serum ferritin and CRP in those with extensive SCLC were higher than those with limited-stage SCLC. Similarly, the serum iron levels in patients with stage IV non-small cell lung cancer (NSCLC) were lower than those of patients with stage I-III disease, and the levels of serum ferritin and CRP in those with stage IV NSCLC were higher than those in stages I-III. The serum iron level was negatively correlated with the level of CRP, while the serum ferritin level was positively correlated with CRP. The stage of lung cancer, but not the serum iron/ferritin level, was an independent prognostic factor in lung cancer patients.

Conclusions

The serum iron and ferritin levels are associated with the staging of lung cancer. The later stages of lung cancer are associated with a lower serum iron level, a higher serum ferritin level, and a higher CRP level. Inflammation may play an important role in regulating the serum iron and ferritin levels in lung cancer patients.
Peningkatan Sumber Daya Manusia Melalui Pembuatan Video Pembelajaran Bagi Guru-Guru
Authors: Kis Kiswanto , Kirana Chandra , Romadiana Parlia , Wijaya Benny , Supardi  , Raya Agustina Mardeka
Published: May 2021

Perkembangan teknologi semakin pesat dari waktu ke waktu, ditandai dengan adanya perkembangan teknologi yang sangat pesat. Tersebarnya informasi yang semakin meluas serta informasi dalam berbagai bentuk bervariasi tersaji dalam waktu yang sangat cepat. Penyajian pesan pada era informasi saat ini senantiasa menggunakan media elektronik yaitu video pembelajaran siswa. Kendala siswa belajar dimasa pandemic covid 19 antara lain : 1). Belum meratanya akses jaringan internet, 2). Guru gagap teknologi, 3). Mahalnya biaya kuota, 4). Belum meratanya penguasaan iptek di kalangan pendidik atau guru, 5). Belum siapnya pelaksanaan proses belajar mengajar menggunakan metode pembelajaran daring, 6). Kesulitan orang tua dalam mendampingi anak-anaknya melakukan kegiatan belajar mengajar menjadi kendala yang ditemui selama proses pembelajaran jarak jauh. Untuk itulah kita perlu mengadakan kegiatan pengabdian kepada masyarakat berupa pelatihan membuat video pembelajaran untuk guru-guru SMK N 1 Pangkalpinang. Metode yang digunakan : 1). Memberikan teori tentang pengenalan dasar pembuatan video pembelajaran, 2). Metode praktek dalam membuat video pembelajaran, 3). Meberikan soal latihan. Adapun hasil yang didapatkan dari pelatihan video pembelajaran ini adalah : 1). 100 % guru senang mengikuti pelatihan video pembelajaran, 2). 100 % guru lebih suka praktek pembuatan video pembelajaran, 3). 89,3 % guru suka menggunakan aplikasi zoom, bandicam dan camtasia dalam membuat  video pembelajaran, 4). 71,4 % guru bisa membuat video pembelajaran.