bluuebunny/crossref_metadata_2025 huggingface dataset:
Erzurum İlinde Yetiştirilen Bazı Bakla (Vicia faba L.) Çeşit ve Popülasyonlarının Verim ve Bazı Agromorfolojik Özellikleri
Authors: KADIOĞLU Sibel
Published: December 2019

Farklı illerden toplanılan 15 bakla popülasyonu ve 6 tescilli bakla çeşidi (Lara, Seher, Filiz-99, Eresen-87, Kıtık ve Salkım) kullanılarak Doğu Anadolu Tarımsal Araştırma Enstitüsü Pasinler deneme alanında tesadüf blokları deneme desenine göre üç tekerrürlü olarak yürütülen çalışmada baklanın yemlik olarak Erzurum ekolojisine uyumu ve verim unsurları açısından değerlendirilmesi amaçlanmıştır. Araştırmada 21 farklı bakla çeşit ve popülasyonun yem olarak kullanımında etkili olan bazı özelliklerinde iki yılın ortalama değerleri; dal sayısı 4.1 adet, ilk bakla yüksekliği 26.4 cm, bitki boyu 59.3 cm, bitki başına bakla sayısı 14.9 adet, baklada tane sayısı 3.2 adet, çiçeklenme başlangıcı gün sayısı 56 gün, fizyolojik olum gün sayısı 119.4 gün ve tohum verimi 165.6 kg da-1 olarak belirlenmiştir. En yüksek tohum verimi ilk yıl Eresen-87 çeşidinde ikinci yıl ise Tokat popülasyonundan alınmıştır. İki yıllık birleştirilmiş deneme sonuçlarının varyans analizinde çeşit/popülasyon ve yıllar arasında önemli farklılıklar olduğu ortaya çıkmış, korelasyon analizinde ise tohum verimi ile çiçeklenme başlangıcı ve fizyolojik olum gün sayısı arasında negatif ama önemli bitki boyu ve bitkide tane sayısı arasında ise olumlu ve istatistiksel olarak anlamlı bir ilişki olduğu belirlenmiştir. Çoğu ıslah çalışmasında olduğu gibi bu kriterlerin aynı ekolojide yapılacak olan ıslah çalışmalarında seleksiyon kriteri olarak kullanılabileceği düşünülmektedir.
Neuropsychiatric Properties of the ACE2/Ang-(1-7)/Mas Pathway: A Brief Review
Authors: de Melo Leonardo Augusto , Almeida-Santos Ana Flávia
Published: December 2019

The current pharmacological strategies for the management of anxiety disorders and depression, serious conditions which are gaining greater prevalence worldwide, depend on only two therapeutic classes of mood-stabilizing drugs: Serotonin Reuptake Inhibitors (SSRIs) and Serotonin-Norepinephrine Reuptake Inhibitors (SNRIs). Although first line agents with proven efficacy, their clinical success in the management of anxiety disorders and depression is still considered highly complex due to the multifaceted nature of such conditions. Several studies have shown a possible therapeutic target could be found in the form of the Angiotensin-Converting Enzyme [ACE] type 2 (ACE2), Angiotensin [Ang]-(1-7) and Mas receptor pathway of the Renin- Angiotensin System (RAS), which as will be discussed, has been described to exhibit promising therapeutic properties for the management of anxiety disorders and depression. In this article, the literature to describe recent findings related to the role of the RAS in anxiety and depression disorders was briefly revised. The literature used covers a time range from 1988 to 2019 and were acquired from the National Center for Biotechnology Information’s (NCBI) PubMed search engine. The results demonstrated in this review are promising and encourage the development of new research for the treatment of anxiety and depression disorders focusing on the RAS. In conclusion, the ACE2/Ang-(1-7)/Mas pathway may exhibit anxiolytic and anti-depressive effects through many possible biochemical mechanisms both centrally and peripherally, and result in highly promising mental health benefits which justifies further investigation into this system as a possible new therapeutic target in the management of neuropsychiatric disorders, including any as of yet undescribed risk-benefit analysis compared to currently-implemented pharmacological strategies.
Application of Genetic Engineering Approaches to Improve Bacterial Metabolite Production
Authors: Xie Xin , Zhu Jia-Wei , Liu Yi , Jiang Hui
Published: December 2019

Genetic engineering is a powerful method to improve the fermentation yield of bacterial metabolites. Since many biosynthetic mechanisms of bacterial metabolites have been unveiled, genetic engineering approaches have been applied to various issues of biosynthetic pathways, such as transcription, translation, post-translational modification, enzymes, transporters, etc. In this article, natamycin, avermectins, gentamicins, piperidamycins, and β-valienamine have been chosen as examples to review recent progress in improving their production by genetic engineering approaches. In these cases, not only yields of target products have been increased, but also yields of by-products have been decreased, and new products have been created.
Synthesis, In Vitro and In Silico Studies of Indolequinone Derivatives against Clinically Relevant Bacterial Pathogens
Authors: Leite Talita Odriane Custodio , Novais Juliana Silva , de Carvalho Beatriz Lima Cosenza , Ferreira Vitor Francisco , Miceli Leonardo Alves , Fraga Letícia , Abrahim-Vieira Bárbara , Rodrigues Carlos Rangel , Sá Figueiredo Agnes Marie , Castro Helena Carla , Cunha Anna Claudia
Published: December 2019

Background:

According to the World Health Organization, antimicrobial resistance is one of
the most important public health threats of the 21st century. Therefore, there is an urgent need for the
development of antimicrobial agents with new mechanism of action, especially those capable of evading
known resistance mechanisms.

Objective:

We described the synthesis, in vitro antimicrobial evaluation, and in silico analysis of a series
of 1H-indole-4,7-dione derivatives.

Methods:

The new series of 1H-indole-4,7-diones was prepared with good yield by using a copper(II)-
mediated reaction between bromoquinone and β-enamino ketones bearing alkyl or phenyl groups attached
to the nitrogen atom. The antimicrobial potential of indole derivatives was assessed. Molecular
docking studies were also performed using AutoDock 4.2 for Windows. Characterization of all compounds
was confirmed by one- and two-dimensional NMR techniques 1H and 13C NMR spectra [1H, 13C
– APT, 1H x 1H – COSY, HSQC and HMBC], IR and mass spectrometry analysis.

Results:

Several indolequinone compounds showed effective antimicrobial profile against Grampositive
(MIC = 16 µg.mL-1) and Gram-negative bacteria (MIC = 8 µg.mL-1) similar to antimicrobials
current on the market. The 3-acetyl-1-(2,5-dimethylphenyl)-1H-indole-4,7-dione derivative exhibited an
important effect against different biofilm stages formed by a serious hospital life-threatening resistant
strain of Methicillin-Resistant Staphylococcus aureus (MRSA). A hemocompatibility profile analysis
based on in vitro hemolysis assays revealed the low toxicity effects of this new series. Indeed, in silico
studies showed a good pharmacokinetics and toxicological profiles for all indolequinone derivatives,
reinforcing their feasibility to display a promising oral bioavailability. An elucidation of the promising
indolequinone derivatives binding mode was achieved, showing interactions with important sites to biological
activity of S. aureus DNA gyrase. These results highlighted 3-acetyl-1-(2-hydroxyethyl)-1Hindole-
4,7-dione derivative as broad-spectrum antimicrobial prototype to be further explored for treating
bacterial infections.

Conclusion:

The highly substituted indolequinones were obtained in moderate to good yields. The
pharmacological study indicated that these compounds should be exploited in the search for a leading
substance in a project aimed at obtaining new antimicrobials effective against Gram-negative bacteria.
Mix Networks: Existing Scenarios and Future Directions on Security and Privacy
Authors: Ahmad Khaleel , Kamal Afsar
Published: December 2019

Background:

Privacy-enhancing techniques are developed in order to provide strong
protection to cyberspace. These techniques aim to allow users to keep their identities hidden during
the communication when they are sending an email, making payments online, browsing the Web,
or posting to newsgroups. MixNet is the most practical solution for concealing identities of
message and sender’s identities.

Objective:

It provides the sender and receiver anonymity as well as message security. The main
goal of MixNet is to overcome vulnerability and enhance the performance of communication. It
can efficiently handle the messages of various lengths and produce desirable results with privacy.
The goal of this patent is to acquire information and concepts regarding MixNet. We also grant
hints for future lookups and references.

Methods :

The design of MixNet depends on what the cryptosystem method is used. Symmetric and
Asymmetric both are used. Other methods could be also used such as PIR, CSP and FDR model,
RPC, Token-based approach, or others.

Result:

In this patent, we provided an overview of MixNet approaches and presented a survey on
MixNet based techniques and different models. We also constructed the comparison tables as per
our requirements for better understanding. For this purpose, we found a total of 120 articles related
to the MixNet published between 1990 and 2018 from the most relevant scientific resources.
However, only 86 papers were analyzed due to comprehensiveness and relevancy in this article.

Conclusion:

Focused on the security and privacy of communication and how it can be achieved.
This patent also reveals research progress and research gap on MixNet.
Design and Evaluation of Long Acting Biodegradable PLGA Microspheres for Ocular Drug Delivery
Authors: Pandya Anjali , Athawale Rajani , Puro Durga , Bhagwat Geeta
Published: December 2019

Background::

The research work involves the development of PLGA biodegradable
microspheres loaded with dexamethasone for intraocular delivery.

Objective::

The study aimed to design and evaluate long acting PLGA microspheres for ocular
delivery of dexamethasone.

Methods::

The present formulation involves the development of long-acting dexamethasone loaded
microspheres composed of a biodegradable controlled release polymer, Poly(D,L-lactide-coglycolide)
(PLGA), for the treatment of posterior segment eye disorders intravitreally. PLGA with
a monomer ratio of 50:50 of lactic acid to glycolic acid was used to achieve a drug release for up
to 45 days. Quality by Design approach was utilized for designing the experiments. Single emulsion
solvent evaporation technique along with high-pressure homogenization was used to facilitate
the formation of microspheres.

Results::

Particle size evaluation, drug content and drug entrapment efficiency were determined for
the microspheres. Particle size and morphology were observed using Field Emission Gun-
Scanning Electron Microscopy (FEG-SEM) and microspheres were in the size range of 1-5 μm.
Assessment of drug release was done using in vitro studies and trans retinal permeation was observed
by ex vivo studies using goat retinal tissues.

Conclusion::

Considering the dire need for prolonged therapeutic effect on diseases of the posterior
eye, an intravitreal long-acting formulation was designed. The use of biodegradable polymer with
biocompatible degradation products was a rational approach to achieve this aim. The outcome of
the present research shows that developed microspheres would provide a long-acting drug profile
and reduce the frequency of administration thereby improving patient compliance.
Withdrawal Notice: Empowering Secured Outsourcing in Cloud Storage Through Data Integrity Verification
Authors: Jothi C. Saranya , Rajkumar N.
Published: December 2019

The article has been withdrawn at the request of the authors and editor of the journal Recent Advances in Computer Science
and Communications.;

Bentham Science Disclaimer:

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php

Bentham Science Disclaimer:

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously
submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere
must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting
the article for publication the authors agree that the publishers have the legal right to take appropriate action against the
authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright
of their article is transferred to the publishers if and when the article is accepted for publication.
Dehesion-deformational nature of friction and wear-out
Authors: Markov Dmitriy P.
Published: December 2019

Two friction theories are compared: generally recognized adhesion deformation theory and alternative dehision deformation theory, founded by Prandtl and Deryagin. Concepts and peculiarities of effect of adhesion and cohesion forces of interatomic attraction are clarified. The concept of dehesion forces of interatomic repulsion is instroduced; their features are specified. Dehision deformation theory basic provisions are as follows: Compression of solid bodies results in occurrence of the interatomic repulsion forces, which after reaching the unstable equilibrium point (bifurcation point) can be instantaneously replaced with the cohesion attraction forces. Inversion (replacement) of forces forming new compounds are rare during friction, as bifurcation pressure (processes splitting) in the most pairs of substance is higher than the plasticity limit. Friction forces of solid bodies result from engagement of irregularities of the atomic-molecular roughness at the spots of actual contact. The proportionality of friction force to the normal force (Coulomb’s law) is ensured by increase of the depth of engagement of the atomic roughness, and by increase of the area of spots of actual contact. Displacement results in the cut-out of the contact surface areas. The cut-out particles of wear and tear act as the solid bodies; the particles are pressed in solid conglomerates and scratch the surfaces. Dry friction force is determined by the contact pressure, by the interlayer fragments strength, and by the strength of their links between each other and with the friction surfaces. In case of liquid friction, molecules are moved in a barrier-free irregular field of cohesion forces, thereby determining absence of friction of rest and dependence of friction forces on the flow velocity (Newton’s law), in contrast to gas friction resulting from collision of the freely moving molecules (Maxwell’s law). Liquids, which do not include polarized molecules, are pressed out of the friction area and do not affect the friction force. If lubricant includes SAS, then the friction force can change from maximum solid to minimum liquid depending on viscosity, SAS content, pressure, contact area, and slide-to-roll ratio (Stribeck dependence).
Simulation of the pulsating current traction motor
Authors: Kulinich Yuriy M. , Shukharev Sergey A. , Drogolov Denis Yu.
Published: December 2019

Design and improvement of traction electric engines ensuring reduction of the railway transportation power consumption is a current long-term objective. The objective is to develop technical requirements to the new electric engines, including implementation of the set haulage performance of locomotive, providing for constant power in the certain range of the running speed, as well as required properties in case of the supply network parameters change, selection of the weight and dimensions parameters ensuring fitting of the traction electric engines in the locomotive underframe, and other important tasks. The new technology is proposed for forecasting the engine properties using simulation modeling of the hauling features and electrical characteristics of engine in order to resolve the above mentioned objectives. The proposed pulsating current traction motor model takes into account the eddy currents effect on the processes of magnetic flux changes in the engine steel and the nature of electromagnetic processes in the engine. Electric component of the engine simulation model is added with the torque mechanical balance equation that allows assessing its operating properties to the full extent. Results of calculations are presented in the form of the engine electromotive force attenuation curve calculated for specific mode of operation at the armature current of 780 A and the initial value of electromotive force amounting to 525 V. Obtained parameter of attenuation correlates with the experimental data presented in the other information source. Value of determination factor between the specified curves certifies adequacy of the developed simulation model. Proposed model of engine and methodology of its design allows modeling its operation in transition and in static modes of operation. Engine properties obtained by means of the proposed simulation model n = f(iа) and M = f(iа) are almost similar to the properties of traction engine NB-514 in the entire range of the armature current change iа. Proposed simulation model allows designing pulsating current traction motor with the set operating properties, as well as studying the engine parameters effect on its energy indicators.
Treatment Outcomes of Periprosthetic Joint Infection in HIV-positive Patients
Authors: Tryapichnikov A. S. , Ermakov A. M. , Klyushin N. M. , Ababkov Yu. V. , Stepanayn A. B. , Koyushkov A. N.
Published: December 2019

Relevance. There is a limited number of publications reporting outcomes of primary large joint arthroplasty in patients with human immunodeficiency virus (HIV). The authors were unable to find papers on revision arthroplasty in patients with periprosthetic infection. Purpose of the study — to evaluate short term outcomes after revision arthroplasty in HIV-positive patients with periprosthetic infection of the hip and knee joint. Materials and methods. 13 HIV-positive patients with periprosthetic infection of the hip (10 cases) and knee (3 cases) joint underwent treatment in the period from 2015 to 2019. Patients were examined by clinical, laboratory and roentgenological methods. Harris Hip Score and Knee Society Score were used for evaluation prior to and after the surgery. Results. Mean follow up period was 21,4±2,6 months. Successful two-stage treatment was performed in two (15,4%) out of 13 patients with periprosthetic infection. In 5 cases (38,5%) control over infection was achieved by resection arthroplasty, and in one case (7,7%) – by arthrodesis. Five patients (38,5%) refused from interchange of spacer to prosthesis. Mean Harris Hip score demonstrated insignificant increase postoperatively — from 45,3±2,2 to 52,2±4,15 (р = 0,2). Conclusion. Despite following the international protocols for treatment of implant-associated infection the infection recurrence rate in HIV-positive patients in the asymptomatic phase remains very high. Efficiency of twostage treatment using antibacterial spacers in the present group of patients amounted only to 15,4%.
Who Should Manage Periprosthetic Joint Infection? The Case for a Multidisciplinary Approach
Authors: Yacovelli S. , Parvizi J.
Published: December 2019

Periprosthetic joint infection (PJI) following total joint arthroplasty (TJA) is a complex disease state that is quite devastating to those affected. Improvement in diagnostic testing modalities and therapeutic techniques have led to significant advances in treatment for patients, but there is still a considerable gap in treatment success across providers and institutions. Where and who should be treating cases of PJI remains a debated topic. Many experts have proposed a new treatment model not dissimilar to that with which has been used to treat other complex disease states such as cancer for decades, and there is now a growing body of evidence to support such a strategy is superior. In this article, we evaluate the current body of literature on the topic and offer recommendations for the ideal treatment model for PJI: the multidisciplinary approach.
Treatment of Periprosthetic Infection with Silver-Doped Implants Based on Two-Dimensionally Ordered Linear Chain Carbon
Authors: Nikolaev N. S. , Lyubimova L. V. , Pchelova N. N. , Preobrazhenskaya E. V. , Alekseeva A. V.
Published: December 2019

Relevance. Formation of pan-resistance microorganisms, microbial biofilms on implants and recurrent infection rate stimulate the search for optimal prosthesis materials for treatment of periprosthetic infection (PJI). Purpose of the study — to compare the efficiency of two stage PJI treatment with simultaneous implantation of a spacer in combination with implants with silver-doped coatings based on two-dimensionally ordered linear chain carbon (TDOLCC+Ag) during the first stage and the conventional revision with a spacer only. Materials and methods. The study included 72 patients with PJI of the knee (n = 42) and hip (n = 30) joints. Control group (conventional revision) consisted of 35 patients and the main group (TDOLCC+Ag coated implant incorporated in a spacer) — 37 patients. Mean age of the patients was 61 years. Temporary components were replaced by the final components during revision at the second stage. Evaluation methods: clinical, X-ray, laboratory, microbiological and follow up history. Results. Inflammation markers and synovial fluid cytosis in the groups at the first revision stage featured equal high base values. During the second stage leucocyte count and cytosis reached normal values, ESR decreased twofold in both groups, CRP decreased five times in the main group. Throat and nasal swabs demonstrated growth of Staphylococcus aureus at 24,3-32,4% in both groups. The leading inducer of PJI was staphylococcal flora with MRSA share of 7,1% and MRSE — from 62,5 to 66,7%. End-points of evaluating treatment outcomes were revision spacer implantation at the second stage of sanation and recurrent PJI. Control group featured implantation of more revision spacers (5) as compared to the main group (1) after the treatment. Two recurrent PJIs were reported for the control group in 11 months while no recurrent infection was reported for the main group. Conclusion. The study demonstrated statistically significant improvement in the outcomes of PJI treatment by spacers with implants coated by TDOLCC+Ag as compared to the conventional treatment option.
Herman Cappelen: Philosophy Without Intuitions
Authors: Müller Sebastian J.
Published: December 2019

Dies ist eine kritische Besprechung von Herman Cappelens Buch "Philosophy Without Intuitions". Ich diskutiere die zentralen Argumente, skizziere den argumentativen Verlauf und zeige an einigen Stellen, dass Cappelens Diskussion nicht ausreicht, um seine starke These zu stützen.
Michael Weisberg: Simulation and Similarity. Using Models to Understand the World
Authors: Van Riel Raphael
Published: December 2019

Rezension zu Michael Weisberg: Simulation and Similarity. Using Models to Understand the World
Jacques Rancière: Die Nacht der Proletarier
Authors: Steilen Felix
Published: December 2019

Besprechung von Jacques Rancière: Die Nacht der Proletarier
Jacques Rancière: Aisthesis
Authors: Martinez Mateo Marina
Published: December 2019

Besprechung von Jacques Rancière, Aisthesis
Saul Kripke: Referenz und Existenz
Authors: Krebs Sebastian
Published: December 2019

Rezension zu Saul Kripke: Referenz und Existenz
Jay L. Garfield: Engaging Buddhism
Authors: Gäb Sebastian
Published: December 2019

Rezension zu Jay L. Garfield: Engaging Buddhism. Why it matters to Philosophy
Achille Mbembe: Kritik der schwarzen Vernunft
Authors: Hobuß Steffi
Published: December 2019

Besprechung von Achille Mbembe: Kritik der schwarzen Vernunft.
Rainer Forst: Normativität und Macht
Authors: Roseneck Michael
Published: December 2019

Besprechung von Rainer Forst: Normativität und Macht. Zur Analyse sozialer Rechtfertigungsordnungen. Berlin: Suhrkamp, 2015.
Christine Bratu: Die Grenzen staatlicher Legitimität
Authors: Müller Luise Katharina
Published: December 2019

Besprechung von Christine Bratu: Die Grenzen staatlicher Legitimität. Eine philosophische Untersuchung zum Verhältnis von Liberalismus und Perfektionismus. Münster: Mentis 2014.
Kolja Möller: Formwandel der Verfassung
Authors: Müller-Mall Sabine
Published: December 2019

Rezension von Kolja Möller: Formwandel der Verfassung. Die postdemokratische Verfasstheit des Transnationalen. Bielefeld: Transcript 2015.
Jessica Ullrich (Hg.): Experiment
Authors: Von Gall Philipp
Published: December 2019

Rezension zu Jessica Ullrich (Hg.): Experiment. Tierstudien 10/2016. Berlin: Neofelis 2016.
Bettina Stangneth: Böses Denken
Authors: Rösener Ringo
Published: December 2019

Besprechung von Bettina Stangneth: Böses Denken. Hamburg: Rowohlt Verlag 2016.
David Miller: Fremde in unserer Mitte: Politische Philosophie der Einwanderung
Authors: Herrmann Therese
Published: December 2019

Rezension zu David Miller: Fremde in unserer Mitte: Politische Philosophie der Einwanderung. Berlin: Suhrkamp 2017.
Marina Martinez Mateo: Politik der Repräsentation
Authors: Hunter Leonie
Published: December 2019

Besprechung von Marina Martinez Mateo: Politik der Repräsentation. Zwischen Formierung und Abbildung. Frankfurt am Main: Springer 2018.
Martin Jay: Reason After its Eclipse. On Late Critical Theory
Authors: Zwarg Robert
Published: December 2019

Besprechung von Martin Jay: Reason After its Eclipse. On Late Critical Theory, Madison: University of Wisconsin University Press 2016.
Geoffroy de Lagasnerie: Denken in einer schlechten Welt
Authors: Röß Johannes , Klein Jonathan , Blättler Andrea C.
Published: December 2019

Rezension von Geoffroy de Lagasnerie: Denken in einer schlechten Welt. Berlin: Matthes & Seitz 2018.
Benjamin Kiesewetter: The Normativity of Rationality
Authors: Schmidt Eva
Published: December 2019

Rezension von Benjamin Kiesewetter: The Normativity of Rationality. Oxford: Oxford University Press 2017.
Pengembangan Media Pembelajaran Kendali Fuzzy Logic Berbasis Arduino Nano Pada Mata Kuliah Praktik Sistem Kendali Cerdas
Authors: Prabowo Hernawan , Arifin Fatchul
Published: December 2019

Dewasa ini berbagai aplikasi dalam bidang industri yang canggih banyak menggunakan kecerdasan buatan. Mata kuliah praktik Sistem Kendali Cerdas di Jurusan Pendidikan Teknik Elektronika & Informatika FT UNY memerlukan sebuah media pembelajaran yang terintegrasi antara hardware dan software agar kualitas pembelajaran sesuai dengan tuntutan dunia Industri. Hasil penelitian ini untuk menghasilkan media pembelajaran kendali fuzzy logic yang teruji kinerja dan kelayakannya pada mata kuliah praktik Sistem Kendali Cerdas. Pendekatan penelitian menggunakan Research and Development dengan 9 tahapan prosedur pengembangan meliputi: (1) potensi dan masalah, (2) pengumpulan data, (3) desain produk, (4) validasi desain, (5) revisi desain, (6) ujicoba produk, (7) revisi produk, (8) ujicoba pemakaian, dan (9) revisi produk. Hasil penelitian diketahui bahwa: (1) media pembelajaran kendali fuzzy logic yang dirancang terdiri dari hardware berbasis Arduino Nano dilengkapi jobsheet dengan pemrograman menggunakan Arduino IDE dan library yang mudah untuk dipelajari, (2) Unjuk kerja media pembelajaran sudah berfungsi dengan stabil baik pada setiap bagian maupun secara keseluruhan, (3) Tingkat kelayakan media dan materi memperoleh nilai 86% dan 96%. Tingkat kelayakan pemakaian berdasarkan uji pemakaian kepada 15 mahasiswa diperoleh nilai 85% termasuk dalam kategori sangat layak. Hal ini berarti media pembelajaran ini sangat layak digunakan pada mata kuliah praktik Sistem Kendali Cerdas.
Otomasi Sistem Hidroponik DFT (Deep Flow Technique) Berbasis Arduino Android dengan Memanfaatkan Panel Surya sebagai Energi Alternatif
Authors: Suprayitno MT Eko Agus , M.Kom Rohman Dijaya , ST M. Atho’illah
Published: December 2019

The application of hydroponic farming methods has been widely applied by the community, the system used is still manual so that it lacks quality, both in terms of humidity and growth. For that we need a system that is able to regulate the time of watering and the provision of nutritional solutions automatically without disturbing the activity. In the design of an automatic DFT hydroponic system using an Android Arduino based solar panel. Where the solar panel system functions as a renewable energy substitute for PLN which will fill the accumulator. The accumulator filling process is equipped with a solar charge controller module, which aims to avoid overcharging the accumulator. The process of watering and administering nutritional solutions is controlled by the Arduino UNO microcontroller which is integrated with the DS1307 RTC module, the HC-05 bluetooth serial communication module and the android smartphone application as the relay module to turn on and turn off the circulation pump according to a predetermined schedule. Test results and tool performance are in accordance with the plan, namely the efficiency of the use of solar panels. This is indicated by scheduling the circulation of the circulating pump for 1 hour from the estimated calculation of the maximum pump speed for 2.38 hours. In testing the transmission of data from bluetooth HC-05 connected to a bluetooth smartphone with unhindered conditions obtained a maximum distance of 15 meters and with a concrete wall obstruction a maximum distance of 5 meters, with plywood walls a maximum distance of 8 meters.
Pengembangan Modul Elektronik Pemrograman Berorientasi Objek untuk Siswa Kelas XI Rekayasa Perangkat Lunak dengan Model Four-D
Authors: Permani Angkati , Priyanto Priyanto
Published: December 2019

This article aims to explain the feasibility of an electronic-based "Making Object Oriented Program with Class" learning module. This study uses an R&D (Research and Development) approach with the Four-D development model. The research population was Grade XI Software Engineering Students of SMK Negeri 1 Rembang Purbalingga. The results showed that each aspect included in the category was very feasible with the average score obtained in the aspect of self-instruction was 3.10, the stand alone aspect was 3.33, the adaptive aspect was 3, the user friendly aspect was 3, the aspect of content eligibility was 3 and the aspect of language has an average of 3.14. Overall material experts show that the material in this module is in the very feasible category with a mean of 3.10 and the percentage of material quality is 77.38%. From these results, it can be stated that this electronic module has fulfilled the characteristics of self-instruction, stand alone, adaptive and user friendly that are appropriate in terms of content and language, so that it can be used in learning.
ASRO (Amphibious Spy Robot): Prototipe Robot Amfibi Pengintai dengan First Person View dan Sistem Navigasi berbasis Sensor Kompas
Authors: Rajif R. Amirur , Arifin Fatchul
Published: December 2019

Robots have an important role in all aspects of life, including the military field. The purpose of making this final project are building hardware and software of robot and to know the performance of robots. The method used in making the final project consists of identifying and analyzing requirements, designing and manufacturing hardware and software, and testing. The result of the performance of ASRO is that, the buoyancy force of the robot is greater than the weight of the object, namely Fa = 22,808 N and W = 15,696 N or Fa> W which makes the robot float while operate in the water field. The maximum range of control system robot is as far as 0-30 meters without obstacles and 0-15 meters with obstacles, while the monitoring system is as far as 0-75 meters without obstacles and 0-30 meters with obstacles. The Robot navigation system has a percentage of accuracy of reading 93.3% and the percentage response of the average robot when rotating 90⁰ is 100%, rotating 180⁰ is 100%, and rotating 270⁰ is 100%.
Analisis dan Desain Sistem Informasi Penelitian dan Pengabdian Masyarakat (Simpenmas) Politeknik Negeri Lhokseumawe
Authors: Hidayat Hari Toha
Published: December 2019

Information systems of research and community service need to be developed to improve the management of research outputs and community service outcomes by lecturers while making it easier to evaluate tertiary accreditation. This system was developed using the waterfall model. This article aims to describe the stages of system development consisting of: (1) investigating user needs; (2) data and needs analysis in the process of making a system; (3) design; and (4) implementation. The result is the need for a system that specifically can provide facilities for uploading research outputs and community service such as journal publications, textbooks / texts, and scientific forum speakers. In addition to other mandatory menus, menus that are also being developed are the daily notes menu and the progress report menu. The design stages produce the design of the menu flow. The implementation stages of the research and community service information system use PHP language using the Laravel framework. Future studies need to test the use of systems that can use Apache jmeter and Selenium.
Analisis Kasus Pencurian Listrik Menggunakan Proses Stochastic Pada Lingkungan Terpasang Smart Metering
Authors: Sony Arya
Published: December 2019

Menggunakan metode deteksi yang presisi pada kasus pencurian listrik merupakan pekerjaan yang mustahil dilakukan. Hal ini disebabkan karena adanya satu variabel yang bernilai ekonomi tinggi yang diperlukan agar perhitungan mungkin untuk dilakukan, yaitu variabel jarak penghantar. Dengan memasukkan proses stokastik ke dalam persamaan deteksi pencurian listrik akan banyak mengurangi pekerjaan PLN dalam mengimplementasikan Sistem Smart Metering. Smart Metering adalah Perangkat IoT yang dapat merekam jumlah konsumsi listrik pelanggan yang terpasang pada masing-masing meteran listrik pelanggan PLN. Hasil simulasi menunjukkan bahwa dengan menggunakan proses stochastik tidak mengurangi akurasi Sistem Smart Metering dan hanya menunjukkan kesalahan rata-rata 1,19E-07%. Penemuan ini sangat diperlukan karena dengan diacaknya variabel jarak penghantar maka pekerjaan implementasi Smart Metering menjadi lebih mudah karena tidak harus memasukkan nilai jarak penghantar ke setiap perangkat.
Pengembangan Media Pembelajaran Berbasis Role Playing Game (RPG) Untuk Siswa Kelas X SMK Negeri 3 Yogyakarta
Authors: Swadyaya Putu Yana
Published: December 2019

The purpose of this study is to develop a game like learning media program about resistor’s color code reading and simple resistor circuits made in RPG Maker MV game engine for grade X vocational school student. The developed learning media includes: learning media program, student workbook, and a complementary module book. The method of research and development is used in this study. Descriptive analysis was used on the feasibility analysis of learning media. Result of experts and users test validation stated that the developed learning media is in the feasible category based on all validated and tested aspects. First educational expert’s assessment shows feasibility level of 93.04% (Very Feasible). Second educational expert’s assessment shows feasibility level of 72.17% (Feasible). First media expert’s assessment shows feasibility level of 86.65% (Very Feasible). Second media expert’s assessment shows feasibility level of 89.29% (Very Feasible). User trial assessment shows feasibility level of 78.52% (Feasible)
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study (Preprint)
Authors: Visweswaran Shyam , Colditz Jason B , O’Halloran Patrick , Han Na-Rae , Taneja Sanya B , Welling Joel , Chu Kar-Hai , Sidani Jaime E , Primack Brian A
Published: December 2019

BACKGROUND

Twitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tweets and characterize sentiments in them can underpin a Twitter-based vaping surveillance system. Compared with traditional machine learning classifiers that are reliant on annotations that are expensive to obtain, deep learning classifiers offer the advantage of requiring fewer annotated tweets by leveraging the large numbers of readily available unannotated tweets.

OBJECTIVE

This study aims to derive and evaluate traditional and deep learning classifiers that can identify tweets relevant to vaping, tweets of a commercial nature, and tweets with provape sentiments.

METHODS

We continuously collected tweets that matched vaping-related keywords over 2 months from August 2018 to October 2018. From this data set of tweets, a set of 4000 tweets was selected, and each tweet was manually annotated for relevance (vape relevant or not), commercial nature (commercial or not), and sentiment (provape or not). Using the annotated data, we derived traditional classifiers that included logistic regression, random forest, linear support vector machine, and multinomial naive Bayes. In addition, using the annotated data set and a larger unannotated data set of tweets, we derived deep learning classifiers that included a convolutional neural network (CNN), long short-term memory (LSTM) network, LSTM-CNN network, and bidirectional LSTM (BiLSTM) network. The unannotated tweet data were used to derive word vectors that deep learning classifiers can leverage to improve performance.

RESULTS

LSTM-CNN performed the best with the highest area under the receiver operating characteristic curve (AUC) of 0.96 (95% CI 0.93-0.98) for relevance, all deep learning classifiers including LSTM-CNN performed better than the traditional classifiers with an AUC of 0.99 (95% CI 0.98-0.99) for distinguishing commercial from noncommercial tweets, and BiLSTM performed the best with an AUC of 0.83 (95% CI 0.78-0.89) for provape sentiment. Overall, LSTM-CNN performed the best across all 3 classification tasks.

CONCLUSIONS

We derived and evaluated traditional machine learning and deep learning classifiers to identify vaping-related relevant, commercial, and provape tweets. Overall, deep learning classifiers such as LSTM-CNN had superior performance and had the added advantage of requiring no preprocessing. The performance of these classifiers supports the development of a vaping surveillance system.
A Temporal Pattern Discovery Method and its Application to Physiological Data: A Case Study (Preprint)
Authors: Inibhunu Catherine , McGregor Carolyn
Published: December 2019

BACKGROUND

High frequency data collected from monitors and sensors that provide measures relating to patients’ vital status in intensive care units (NICUs) has the potential to provide valuable insights which can be crucial when making critical decisions for the care of premature and ill term infants. However, this exercise is not trivial when faced with huge volumes of data that are captured every second at the bedside/home. The ability to collect, analyze and understand any hidden relationships in the data that may be vital for clinical decision making is a central challenge.

OBJECTIVE

The main goal of this research is to develop a method to detect and represent relationships that may exist in temporal abstractions (TA) and temporal patterns (TP) derived from time oriented data. The premise of this research is that in clinical care, the discovery of unknown relationships among physiological time oriented data can lead to detection of onset of conditions, aid in classifying abnormal or normal behaviors or derive patterns of an altered trajectory towards a problematic future state for a patient. That is, there is great potential to use this approach to uncover previously unknown pathophysiologies that are present in high speed physiological data.

METHODS

This research introduces a TPR process and an associated TPRMine algorithm which adopts a stepwise approach to temporal pattern discovery by first applying a scaled mathematical formulation of the time series data. This is achieved by modelling the problem space as a finite state machine representation where for a given timeframe, a time series data segment transitions from one state to another based on probabilistic weights and then quantifying the many paths a time series data may transition to.

RESULTS

The TPRMine Algorithm has been designed, implemented and applied to patient physiological data streams captured from the McMaster Children’s Hospital NICU. The algorithm has been applied to understand the number of states a patient in a NICU bed can transition to in a given time period and a demonstration of formulation of hypothesis tests. In addition, a quantification of these states is completed leading to creation of a vital scoring. With this, it’s possible to understand the percent of time a patient remains in a high or low vital score.

CONCLUSIONS

The developed method allows understanding the number of states a patient may transition to in any given time period. Adding some clinical context to the identified states facilitates state quantification allowing formulation of thresholds which leads to generating patient scores. This is an approach that can be utilized for identifying patient at risk of some clinical condition prior to disease progress. Additionally the developed method facilitates identification of frequent patterns that could be associated with generated thresholds.
Use of a Low-Cost Portable 3D Virtual Reality Gesture-Mediated Simulator for Training and Learning Basic Psychomotor Skills in Minimally Invasive Surgery: Development and Content Validity Study (Preprint)
Authors: Alvarez-Lopez Fernando , Maina Marcelo Fabián , Saigí-Rubió Francesc
Published: December 2019

BACKGROUND

Simulation in virtual environments has become a new paradigm for surgeon training in minimally invasive surgery (MIS). However, this technology is expensive and difficult to access.

OBJECTIVE

This study aims first to describe the development of a new gesture-based simulator for learning skills in MIS and, second, to establish its fidelity to the criterion and sources of content-related validity evidence.

METHODS

For the development of the gesture-mediated simulator for MIS using virtual reality (SIMISGEST-VR), a design-based research (DBR) paradigm was adopted. For the second objective, 30 participants completed a questionnaire, with responses scored on a 5-point Likert scale. A literature review on the validity of the MIS training-VR (MIST-VR) was conducted. The study of fidelity to the criterion was rated using a 10-item questionnaire, while the sources of content-related validity evidence were assessed using 10 questions about the simulator training capacity and 6 questions about MIS tasks, and an iterative process of instrument pilot testing was performed.

RESULTS

A good enough prototype of a gesture-based simulator was developed with metrics and feedback for learning psychomotor skills in MIS. As per the survey conducted to assess the fidelity to the criterion, all 30 participants felt that most aspects of the simulator were adequately realistic and that it could be used as a tool for teaching basic psychomotor skills in laparoscopic surgery (Likert score: 4.07-4.73). The sources of content-related validity evidence showed that this study’s simulator is a reliable training tool and that the exercises enable learning of the basic psychomotor skills required in MIS (Likert score: 4.28-4.67).

CONCLUSIONS

The development of gesture-based 3D virtual environments for training and learning basic psychomotor skills in MIS opens up a new approach to low-cost, portable simulation that allows ubiquitous learning and preoperative warm-up. Fidelity to the criterion was duly evaluated, which allowed a good enough prototype to be achieved. Content-related validity evidence for SIMISGEST-VR was also obtained.
Patients’ and Health Care Professionals’ Perceptions of the Potential of Using the Digital Diabetes Questionnaire to Prepare for Diabetes Care Meetings: Qualitative Focus Group Interview Study (Preprint)
Authors: Eeg-Olofsson Katarina , Johansson Unn-Britt , Linder Ebba , Leksell Janeth
Published: December 2019

BACKGROUND

In effective diabetes management, it is important that providers and health care systems prioritize the delivery of patient-centered care and that they are respectful of and responsive to individual patient preferences and barriers.

OBJECTIVE

The objective of the study was to conduct focus group interviews to capture patients’ and health care professionals’ perceptions and attitudes regarding digital technology and to explore how the digital Diabetes Questionnaire can be used to support patient participation in diabetes care, as a basis for an implementation study.

METHODS

A qualitative study was conducted with six focus group discussions with diabetes specialist nurses and medical doctors (n=29) and four focus group discussions with individuals with diabetes (n=23). A semistructured focus group interview guide was developed, including probing questions. The data were transcribed verbatim, and qualitative content analysis was performed using an inductive approach.

RESULTS

Two main categories were revealed by the qualitative analysis: perceptions of digital technology and the digital questionnaire in diabetes management and care and perceptions of participation in diabetes care. An overarching theme that emerged from the focus group interviews was patients’ and professionals’ involvement in diabetes care using digital tools.

CONCLUSIONS

The analysis identified important factors to consider when introducing the digital Diabetes Questionnaire in clinical use. Both professionals and patients need support and training in the practical implementation of the digital questionnaire, as well as the opportunity to provide feedback on the questionnaire answers.