bluuebunny/crossref_metadata_2025 huggingface dataset:
Towards an Integrated Methodology for Model and Variable Selection Using Count Data: An Application to Micro-Retail Distribution in Urban Studies
Authors: Araldi Alessandro
Published: April 2020

Over the last two decades, a growing number of works in urban studies have revealed how micro-retail distribution is significantly related to specific properties of the urban built environment. While a wide variety of urban form measures have been investigated using sophisticated analytical approaches, the same attention has not equally been found in statistical procedures. Several essential features of micro-retail statistical distribution and modelling assumptions are frequently overlooked, compromising the statistical robustness of outcomes. In this work we focus on four main aspects: (i) the discrete, non-negative and highly skewed nature of store distribution; (ii) its zero-inflation; (iii) assessment of the contextual effect; and (iv) the multicollinearity generated by the inclusion of highly related urban descriptors. To overcome these limitations, we propose an integrated methodological framework for both modelling and variable selection assessment based on generalized linear models (GLMs) and elastic-net (Enet) penalized regression (PR), respectively. The procedure is tested via a real case study of the French Riviera, which is described using a large dataset of 105 street-based urban form measures. The outcomes of this procedure show the superiority of the zero-inflate negative binomial count regression approach. A restricted number of urban form properties are found to be related to the micro-retail distribution depending on the specific scale and morphological context under analysis.
Zebrafish pten Genes Play Relevant but Distinct Roles in Antiviral Immunity
Authors: Pereiro Patricia , Figueras Antonio , Novoa Beatriz
Published: April 2020

The PTEN (phosphatase and TENsin homolog on chromosome 10) gene encodes a bifunctional phosphatase that acts as a tumor suppressor. However, PTEN has been implicated in different immune processes, including autophagy, inflammation, regulation of natural killer (NK) cell cytolytic activity and type I interferon responses. Unlike mammals, zebrafish possess two pten genes (ptena and ptenb). This study explores the involvement of both zebrafish pten genes in antiviral defense. Although ptena−/− and ptenb−/− larvae were more susceptible to Spring viremia of carp virus (SVCV), the viral replication rate was lower in the mutant larvae than in the wild-type larvae. We observed that both mutant lines showed alterations in the transcription of numerous genes, including those related to the type I interferon (IFN) system, cytolytic activity, autophagy and inflammation, and some of these genes were regulated in opposite ways depending on which pten gene was mutated. Even though the lower replication rate of SVCV could be associated with impaired autophagy in the mutant lines, the higher mortality observed in the ptena−/− and ptenb−/− larvae does not seem to be associated with an uncontrolled inflammatory response.
Systemic Sclerosis and Vaccinations: A Register-Based Cohort Study about Seasonal Influenza and Streptococcus pneumoniae Vaccination Rate and Uptake from Liguria Regional Center, Northwest Italy
Authors: Murdaca Giuseppe , Noberasco Giovanni , Battaglini Alberto , Vassallo Chiara , Giusti Francesca , Greco Monica , Schiavi Chiara , Sticchi Laura , Icardi Giancarlo , Orsi Andrea
Published: April 2020

Systemic sclerosis (SSc) is the connective tissue disease with the highest mortality and patients with chronic inflammatory immune-mediated diseases are at high risk of acquiring infections as they are often treated with immunosuppressive or biological drugs. This study, conducted among the patients followed by our clinical immunology, part of the Internal Medicine Department in the Ospedale Policlinico San Martino, Genoa, northwest Italy, has set itself the primary objective of analyzing the vaccine uptake and the vaccination coverage against both seasonal influenza and S. pneumoniae in a cohort of patients with SSc. We evaluated the influenza and pneumococcal vaccination rate among various subgroups of patients and the source of the recommendation for vaccination. We evaluated the vaccination rate changes between the two years considered in our study. We also calculated a binomial logistic regression between vaccination acceptance and clinical and demographics characteristics of the patients to evaluate the adjusted odds ratio (OR) of each factor on vaccination. The vaccination coverage that resulted was significantly higher than in other similar studies. Age over 65 years old, interstitial lung disease, and ongoing immunosuppressive therapy were significantly related with acceptance to both vaccinations using univariate analyses, but the multivariate logistic regression found a significant correlation only with the age and therapy factors.
In Vitro Inhibiting Effects of Three Fungal Species on Eggs of Donkey Gastrointestinal Strongyles
Authors: Maestrini Michela , Nardoni Simona , Mancianti Francesca , Mancini Simone , Perrucci Stefania
Published: April 2020

Recently, donkeys have gained popularity mainly due to the use of donkey milk by the cosmetic industry and for human consumption. Gastrointestinal strongyles (GIS) are considered a potential cause of disease and reduced production in infected donkeys. European laws limit the use of anthelmintic drugs for the control of GIS in dairy donkey farms, thus the need to develop alternative control methods. This study aimed to test the in vitro inhibiting effects of three chitin degrading fungi (Scopulariopsis brevicaulis, Metarhizium anisopliae, and Beauveria bassiana) on the hatch and viability of donkey GIS eggs by using the egg hatch test, and to compare their activity to that of Pochonia chlamydosporia. About 150 eggs were added to 0.5 mL of sterile saline solution containing about 1.4 × 108 spores of each fungal species or with 0.5 mL of sterile saline solution only (untreated controls). After incubation, the percentage of egg hatch reduction was calculated, and data were statistically analyzed. All fungi were able to significantly reduce (p < 0.05) the hatch of GIS eggs compared to the untreated controls. Further studies that aim to investigate the efficiency of these fungi in reducing donkey GIS eggs in contaminated environments are encouraged.
Methicillin-Resistant Staphylococcus aureus (MRSA) in Poultry Species in Algeria: Long-Term Study on Prevalence and Antimicrobial Resistance
Authors: Benrabia Ismahane , Hamdi Taha M. , Shehata Awad A. , Neubauer Heinrich , Wareth Gamal
Published: April 2020

Methicillin-resistant Staphylococcus aureus (MRSA) is a well-known pathogen with a serious impact on human and veterinary public health. To determine antibiotic resistance of MRSA in poultry, 4248 nasal swabs were collected from 840 poultry farms in 18 different Wilayas (provinces) of Algeria. Swabs were collected between 2011 and 2018 from breeding hens, laying hens, broilers, and turkeys. Identification was carried out by the classical culture methods, and the disc diffusion test was used to determine the antibiotic resistance patterns. S. aureus was isolated from 477 (56.8%) farms, and flock prevalence was 52.8%, 48.8%, 48.4%, and 75.6% in breeding hens, laying hens, broilers, and turkeys, respectively. MRSA was isolated from 252 (30%) farms and flock prevalence was 22%, 33.5%, 27.4%, and 36%, respectively. As expected, all MRSA isolates were resistant to cefoxitin, penicillin G, amoxicillin/clavulanic acid, and oxacillin. High levels of resistance were found for tetracycline (82.5%), erythromycin (70.6%), clindamycin (68.6%), and ciprofloxacin (50%). Almost all isolates were susceptible to vancomycin (100%) and mupirocin and rifampicin (99.2%), followed by chloramphenicol (82.3%), and gentamicin (76%). This moderate proportion of MRSA in poultry poses a considerable risk to public health. The results of this study highlight the need for control programs that encompass primary animal production and the food chain to mitigate contamination and spread of MRSA in the poultry industry of Algeria, and consequently to humans.
Comprehensive Review on Main Topologies of Impedance Source Inverter Used in Electric Vehicle Applications
Authors: Mande Daouda , Trovão João Pedro , Ta Minh Cao
Published: April 2020

Power electronics play a fundamental role for electric transportation, renewable energy conversion and many other industrial applications. They have the ability to help achieve high efficiency and performance in power systems. However, traditional inverters such as voltage source and current source inverters present some limitations. Consequently, many research efforts have been focused on developing new power electronics converters suitable for many applications. Compared with the conventional two-stage inverter, Z-source inverter (ZSI) is a single-stage converter with lower design cost and high efficiency. It is a power electronics circuit of which the function is to convert DC input voltage to a symmetrical AC output voltage of desired magnitude and frequency. Recently, ZSIs have been widely used as a replacement for conventional two-stage inverters in the distributed generation systems. Several modifications have been carried out on ZSI to improve its performance and efficiency. This paper reviews the-state-of-art impedance source inverter main topologies and points out their applications for multisource electric vehicles. A concise review of main existing topologies is presented. The basic structural differences, advantages and limitations of each topology are illustrated. From this state-of-the-art review of impedance source inverters, the embedded quasi-Z-source inverter presents one of the promising architectures which can be used in multisource electric vehicles, with better performance and reliability. The utilization of this new topology will open the door to several development axes, with great impact on electric vehicles (EVs).
Analisis Yuridis Penghentian Penyidikan terhadap Tindak Pidana Korupsi Ditreskrimsus Polda Sumatera Utara
Authors: Rusdi Rusdi , Mulyadi Mahmud , Afan Ibnu
Published: April 2020

Tujuan penelitian ini mengenai pengaturan penghentian penyidikan, Implikasi yuridis dan Hambatan pelaksanaan penghentian penyidikan terhadap tindak pidana korupsi yang dilakuakn oleh penyidik Polisi di Ditreskrim Polda Sumut. Jenis penelitian ini adalah penelitian yuridis empiris. Sifat penelitian bersifat deskriptif analisis. Penelitian ini menggunakan beberapa pendekatan, yaitu pendekatan undang-undang dan konseptual.  Jenis dan sumber data penelitian terdiri dari data primer dan sekunder. Adapun analisis data yang digunakan dalam penelitian ini yaitu analisis data kualitatif. Berdasarkan hasil penelitian diperoleh, pengaturan penghentian penyidikan terhadap tindak pidana korupsi mengacu pada KUHAP yang didasari pada tiga alasan, yaitu tidak tedapat cukup bukti, perbuatan tersebut tidak termasuk dan demi hukum. Penghentian penyidikan dalam perkara tindak pidana korupsi dominan karena tidak terdapat cukup bukti. Implikasi   yuridis   terhadap penghentian penyidikan terhadap tindak pidana korupsi karena tidak cukup bukti, maka penghentian penyidikan dapat bersifat sementara ataupun selamanya. Hambatan dalam pelaksanaan penghentian penyidikan terhadap tindak pidana korupsi adalah adanya anggapan dari masyarakat bahwa penghentian penyidikan didasari   pada   penyimpangan   kewenangan   yang   dilakukan   oleh   penyidik. Sehingga, hal ini menjadi hambatan tersendiri bagi penyidik dalam memutuskan penghentian penyidikan terhadap perkara tindak pidana korupsi yang sedang ditanganinya.
A Survey of Protocols and Standards for Internet of Things
Authors: Salman Tara , Jain Raj
Published: April 2020

The rapid growth in technology and internet connected devices has enabled Internet of Things (IoT) to be one of the important fields in computing. Standards, technologies and platforms targeting IoT ecosystem are being developed at a very fast pace. IoT enables things to communicate and coordinate decisions for many different types of applications including healthcare, home automation, disaster recovery, and industry automation. It is expected to expand to even more applications in the future. This paper surveys several standards by IEEE, IETF and ITU that enable technologies enabling the rapid growth of IoT. These standards include communications, routing, network and session layer protocols that are being developed to meet IoT requirements. The discussion also includes management and security protocols in addition to the current challenges in IoT which gives insights into the current research to solve such challenges.
Cryptocurrencies: Science and Socio-Economics
Authors: C. E. Veni Madhavan , H. V. Kumar Swamy
Published: April 2020

In the last few years the phenomenon of cryptocurrencies has captured the imagination of people in two dominant sectors, information technology and financial technology. These two sectors have been brought much closer due to the recent developments in both sectors. We provide an analytic view of various interconnected issues, drawing upon tenets from cryptography, digital cash, cryptocurrencies, blockchains and socio-economics of money. We discuss the underlying scientific and technical principles behind the extant methodologies, in particular the artefact Bitcoin.
Automotive Radars
Authors: Patole Sujeet , Torlak Murat , Wang Dan , Ali Murtaza
Published: April 2020

Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to the controller. Automotive radar systems are responsible for the detection of objects and obstacles, their position, and speed relative to the vehicle. The development of signal processing techniques along with progress in the millimeter- wave (mm-wave) semiconductor technology plays a key role in automotive radar systems. Various signal processing techniques have been developed to provide better resolution and estimation performance in all measurement dimensions: range, azimuth-elevation angles, and velocity of the targets surrounding the vehicles. This article summarizes various aspects of automotive radar signal processing techniques, including waveform design, possible radar architectures, estimation algorithms, implementation complexity-resolution trade-off, and adaptive processing for complex environments, as well as unique problems associated with automotive radars such as pedestrian detection. We believe that this review article will combine the several contributions scattered in the literature to serve as a primary starting point to new researchers and to give a bird’s-eye view to the existing research community.
The Story Of Computational Narratology
Authors: Srivatsa Sharath , V N Shyam Kumar , Srinivasa Srinath
Published: April 2020

In recent times, computational modeling of narratives has gained enormous interest in fields like Natural Language Understanding (NLU), Natural Language Generation (NLG), and Artificial General Intelligence (AGI). There is a growing body of literature addressing understanding of narrative structure and generation of narratives. Narrative generation is known to be a far more complex problem than narrative understanding [20].
Ali Emre Özyıldırım. Mâşî-zâde Fikrî Çelebi ve Ebkâr-ı Efkâr’ı On Altıncı Yüzyıldan Sıradışı Bir Aşk Hikâyesi. Dergâh Yayınları, 2017
Authors: ALAN İdil Yağmur
Published: April 2020

On altıncı yüzyılda yazılan Osmanlı edebi eserleri hakkında bugüne kadar birçok çalışma yapılmıştır. Bu çalışmalardan bir tanesi ise Ali Emre Özyıldırım’ın ortaya koyduğu “Mâşî-zâde Fikrî Çelebi ve Ebkâr-ı Efkâr’ı: On Altıncı Yüzyıldan Sıradışı Bir Aşk Hikâyesi” başlıklı araştırma metnidir. Özyıldırım, 2006 yılında Budapeşte’de Macar Bilimler Akademisi Kütüphanesi’nde, Dîvân-ı Fikrî adıyla Ebkâr-ı Efkâr mesnevisini bulmuştur. Mesnevi, araştırmacı tarafından ilk olarak 2007 yılında “Ebkâr-ı Efkâr: Fikrî Çelebi’nin Aşk Konulu Hasbihâli” isimli makale ile tanıtılmıştır. Daha sonra mesnevinin ayrıntılı bir incelemesiyle çeviriyazılı metni, Dergâh Yayınları’nın Türk Edebiyatı İnceleme serisinin Eski Türk Edebiyatı Dizisi’nde 2017 yılının Nisan ayında basılmıştır. Bu yazı, Ali Emre Özyıldırım’ın, Mâşî-zâde Fikrî Çelebi’yi ve Ebkâr-ı Efkâr mesnevisi üzerine yapmış olduğu araştırmayı kısaca tanıtmayı amaçlamaktadır.
Maksillada Ektopik Kanin ile İlişkili Büyük Dentigeröz Kist: Olgu Sunumu
Authors: GÜLER Rıdvan , AĞAÇAYAK Serkan
Published: April 2020

Dentigeröz kistler çenelerin sık gözlenen odontojenik kistleri arasında olup sıklıkla gömülü mandibular 3. molar dişler ile ilişkilidirler. Bu patolojiler daimi dişlerin kronlarını içine alan iyi huylu kitlelerdir. Genellikle asemptomatik olup dental radyografilerde tesadüfen tespit edilirler. Enfekte oldukları durumda ağrı semptomu oluşturabilirler. Erkeklerde, kadın hastalara oranla iki kat daha fazla görülür ve ortalama görülme yaşı 2. ve 3. dekatlardır. Kistlerin tedavisinde tercih edilecek yöntem; kistin boyutlarına, lokalizasyonuna ve anatomik yapılara uzaklığına bağlı olarak değişebilmektedir. Bu makalede 33 yaşında kadın hastada maksiller kanin dişten kaynaklanan büyük dentigeröz kist olgusu ve enükleasyon ile cerrahi tedavi süreci sunulmuştur. Dentigeröz kistler semptomsuz bir şekilde geniş kemik defektlerine yol açabilir. Bu yüzden tüm gömülü dişlerde radyografik inceleme yapılması oldukça önemlidir.
Radical past climatic changes in the Arctic Ocean and a geophysical signature of the Lomonosov Ridge north of Greenland
Authors: Mikkelsen Naja , Nørgaard-Pedersen Niels , Kristoffersen Yngve , Juul Lassen Susanne , Sheldon Emma
Published: April 2020

The Arctic Ocean is a landlocked basin, at present covered by perennial sea ice. During the past few decades a significant thinning and shrinking of the sea ice has been observed, and modelling studies indicate that the Arctic Ocean ice cover could, by the end of this century, almost disappear from most parts of the Arctic Ocean during peak summer seasons. It remains uncertain, however, whether the environmental changes are an enhanced greenhouse-warming signal or a result of natural (long-term) variability, but palaeoceanographic studies can contribute to our understanding of the natural variability of environmental parameters, e.g. sea-ice cover and oceanographic changes on time-scales of centuries to millennia. As part of the multidisciplinary EU project Greenland Arctic Shelf Ice and Climate Experiment (GreenICE), sediment coring and seismic reflection measurements have been undertaken in a hitherto unexplored part of the Arctic Ocean, the margin of the Lomonosov Ridge in the Lincoln Sea (Fig. 1). The aim of the project was to study the structure and dynamics of the sea-ice cover and attempt to relate these to longer-term records of climate variability retrieved from sediment cores. The main field work was carried out in May 2004 from an ice camp established by a Twin Otter aircraft on drifting sea ice at 85°N, 65°W, c. 170 km north of Alert, Arctic Canada. The camp was deployed over the shallowest part of the Lomonosov Ridge off the northern Greenland/Canada continental margin (Fig. 1). The sea-ice drift would normally be between east and south, but persistent easterly winds resulted in a fast drift trajectory towards the WSW, such that the camp drifted a distance of approximately 62 km during the two weeks camp period. At present the study area is heavily ice covered, and forecast models of future shrinking Arctic sea-ice cover suggest that this area is one of the least sensitive to warming in the Arctic. The results obtained from the GreenICE project challenge this view.
Origin and evolution of the Kangâmiut mafic dyke swarm, West Greenland
Authors: Mayborn Kyle R. , Lesher Charles E.
Published: April 2020

The Kangâmiut dyke swarm in West Greenland intruded Archaean terrains at 2.04 Ga, and its northern portion was subsequently metamorphosed to granulite facies during the Nagssugtoqidian orogeny (c. 1.8 Ga). Mineral and whole-rock major and trace element compositions show that the parental magmas for the dyke swarm differentiated by the fractionation of olivine, clinopyroxene, plagioclase and late stage Fe-Ti oxides. Petrographical observations and the enrichment of K2O during differentiation argue that hornblende was not an important fractionating phase. Field observations suggest emplacement at crustal levels above the brittle–ductile transition, and clinopyroxene geothermobarometry constrains dyke emplacement depths to less than 10 km. Granulite facies metamorphism of the Kangâmiut dykes and their host rocks in the northern portion of the swarm requires subsequent burial to c. 30 km, related to roughly 20 km of crustal thickening between the time of dyke emplacement and peak metamorphism during the Nagssugtoqidian orogeny. Kangâmiut dykes are characterised by low Ba/La ratios (12 ± 5), and high Nb/La ratios (0.8 ± 0.2), compared to subduction related basalts (Ba/La c. 25; Nb/La c. 0.35). These geochemical characteristics argue that the Kangâmiut dykes are not related to subduction processes. Forward modelling of rare-earth element data requires that primitive magmas for the Kangâmiut dykes originated from a moderately depleted mantle source with a mantle potential temperature of c. 1420°C. The inferred potential temperature is consistent with potential temperature estimates for ambient mantle at 2.0 Ga derived from secular cooling models and continental freeboard constraints. The geochemistry and petrology of the Kangâmiut dykes support a model that relates the dyke activity to passive rifting of the proposed Kenorland supercontinent rather than to mantle plume activity or subduction.
Zircon geochronology from the Kangaatsiaq–Qasigiannguit region, the northern part of the 1.9–1.8 Ga Nagssugtoqidian orogen, West Greenland
Authors: Thrane Kristine , Connelly James N.
Published: April 2020

The Kangaatsiaq–Qasigiannguit region in the northern part of the Palaeoproterozoic Nagssugtoqidian orogen of West Greenland consists of poly-deformed orthogneisses and minor occurrences of interleaved, discontinuous supracrustal belts. Laser ablation ICP-MS 207Pb/206Pb analyses of detrital zircons from four metasedimentary rocks (supplemented by ion probe analysis of one sample) and igneous zircons from six granitoid rocks cutting metasedimentary units indicate that the supracrustal rocks in the Kangaatsiaq–Qasigiannguit (Christianshåb) region are predominantly Archaean in age. Four occurrences of metasedimentary rocks are clearly Archaean, two have equivocal ages, and only one metasedimentary unit, from within the Naternaq (Lersletten) supracrustal belt, is demonstrably Palaeoproterozoic and readily defines a large fold complex of this age at Naternaq. The 2.9–2.8 Ga ages of detrital Archaean grains are compatible with derivation from the local basement orthogneisses within the Nagssugtoqidian orogen. The detrital age patterns are similar to those of metasediments within the central Nagssugtoqidian orogen but distinct from age patterns in metasediments of the Rinkian belt to the north, where there is an additional component of pre-2.9 Ga zircons. Synkinematic intrusive granitoid rocks constrain the ages of some Archaean deformation at 2748 ± 19 Ma and some Palaeoproterozoic deformation at 1837 ± 12 Ma.
Automation of Vehicle Door
Authors: R Shalikha , N.A Nibarkavi , M Puhazhmathi , M Suresh
Published: April 2020

In this paper, we have implemented the concept of automatic sliding door in public transport focusing on the safety of the passengers. The objective is to design a simple, effective and economic automatic sliding door system. Pneumatic cylinders, direction control valves and optical proximity sensor has been used to design the circuit.
INFLUENCE OF MODIFICATION OF STEEL 45 ON THE CHEMICAL COMPOSITION AND CONTAMINATION WITH NON-METALLIC INCLUSIONS
Authors: Rutskii D. V. , Guzenkov S. A. , Zyuban N. A. , Nikitin M. S. , Voitenko R. M.
Published: April 2020

The article presents the results of research on the effect of modification on the chemical composition and contamination by non-metallic inclusions along the length and cross-section of ingots modified with a fine mixture of powders. It was found that the introduction of a modifier reduces the heterogeneity of the cast structure structure Changes the chemical and phase composition of non-metallic inclusions, reduces their size.
PERAN MEDIASI REPUTASI PERUSAHAAN TERHADAP HUBUNGAN UKURAN DEWAN DIREKSI DAN RETURN SAHAM
Authors: Jao Robert , Daromes Fransiskus E. , Yono Benhard
Published: April 2020

Ukuran yang besar dari dewan direksi bermanfaat bagi perusahaan untuk membentuk reputasi dan menjadi sinyal baik bagi investor. Penelitian ini memiliki tujuan menginvestigasi pengaruh ukuran dewan direksi terhadap return saham baik secara langsung maupun secara tidak langsung melalui reputasi. Populasi dalam penelitian ini berupa semua perusahaan sektor manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) selama tahun 2015-2018. Penggunaan metode non-probability secara purposive terpilih 32 perusahaan sebagai sampel dalam penelitian ini. Data yang digunakan berupa data sekunder terdiri dari laporan tahunan, corporate image index, dan harga saham penutupan. Untuk menguji hipotesis digunakan metode analisis jalur dan uji sobel. Hasil analisis menyatakan bahwa ukuran dewan direksi berpengaruh secara positif dan signifikan terhadap reputasi perusahaan. Ukuran dewan direksi dan reputasi perusahaan berpengaruh secara positif namun tidak signifikan terhadap return saham. Penelitian ini juga menemukan bahwa pengaruh dewan direksi terhadap return saham tidak dapat dimediasi oleh reputasi perusahaan.
A New Measure for Individual Thermal Comfort
Authors: ARI Seçkin , KHALİFA H. Ezzat , WİLCOXEN Peter , DANNENHOFFER III John F. , IŞIK Can
Published: April 2020

This paper introduces a new measure for individual thermal comfort, inspired by the current standards for population thermal comfort, and a statistical model allowing us to imitate individuals’ thermal comfort preferences. Our approach is based on the observation that an individual has a temperature range around his or her desired temperature point in which he or she is comfortable with the surrounding thermal environment. The crucial parameters of our statistical model, which represents the thermal characteristic of individuals of building occupants, have been assumed to be normally distributed random variables so that the thermal comfort preferences of different individuals can be generated for the further simulation purposes. When aggregated to a population’s general thermal comfort parameters, the variables of these distributions have been adjusted in such a way as to bring very close consistency with the current standards, which define the criteria for acceptable thermal conditions of human occupancy in a built environment.
MBBench: A WCET Benchmark Suite
Authors: KUZHAN Metin , ŞAHİN Veysel Harun
Published: April 2020

One of the important features of any real-time software is the worst-case execution time (WCET). To get an understanding of the timing behavior of real-time systems and to prove that the real-time software meets its deadlines, WCET analysis is performed. Today, researchers actively develop new WCET analysis methods and tools. Therefore, they need benchmark programs to evaluate and compare their work. To meet this need, in this study we present a new benchmark suite, called MBBench. MBBench includes a collection of C programs for Linux operating system and RTEMS real-time operating system. Its main aim is to help the evaluation and comparison of measurement-based WCET analysis methods/tools. MBBench has been published as open source. It can be obtained freely over the Internet.
Organ Damage In Penetrating Injuries
Authors: ŞAHİN Levent , DOLANBAY Turgut , ARAS Murat
Published: April 2020

Background: Trauma and injuries are the most common reasons for presenting to emergency services. The aim of the present study was to comprehensively evaluate the injuries from gunshot and penetrating objects presented to the emergency department of Kafkas University Medical School Research Hospital along with the organ(s) effected and the degree of injury. It is crucial to determine the nature of the injury and the condition of the effected organ in order to refer the patients to the relevant branch for effective treatment.Materials and Methods: In this study, a total of 73 cases who were admitted between the years of 2017-2019 were examined retrospectively. For statistical analysis, a Windows-compatible IBM SPSS 20.0 package program was used. Results are expressed as mean ± standard deviation.Results: About 68 of them were male and 5 were female. The mean age was 33.85 and a majority of patients were comparatively young. Consultation was requested for about 44 patients. A large number of the cases (n = 39) reported to the emergency department between 08:00 to 16:00 hours. Six patients died due to gunshot wounds and one patient died due to sharp object-based injury.Conclusions: These studies will contribute to the development of new strategies to solve the social problem of individual armament. Because of the high mortality rate in penetrating injuries, patients should be diagnosed quickly and the necessary treatment should be initiated immediately.Key Words: Penetrating injuries, Emergency department
Expression Analysis in the Transcription Level of PTGS2, CALR, MAGE-A3 Genes in Non-Small Cell Lung Cancer
Authors: KÖSE Büşra , BOZKURT Süreyya
Published: April 2020

Background: In lung cancer, expression changes in genes that indirectly trigger carcinogenesis are a remarkable issue. In addition to mutations, detection of expression of genes that affect cell division, apoptosis, invasion and cell migration is important for studies to develop new inhibitor or monoclonal antibody drugs. Aim of this study was to investigate the mRNA expression levels of PTGS2, CALR and MAGE-A3 genes in the A549 cell line which is modeling lung adenocarcinoma compared to the BEAS-2B cell line which is modeling healthy bronchial epithelium.Materials and Methods: Quantitative Real-time PCR was performed to obtain the mRNA expression level changing.Results: In the results of the study, the mRNA level expression difference in A549 cell line compared with BEAS-2B cell line 229,13-fold increase in PTGS2 gene; 4,03-fold increase in CALR gene; 3,41-fold increase in MAGE-A3 gene were observed. These three genes are known to play roles in cancer cell division, apoptosis resistance, invasion, and angiogenesis.Conclusions: As a result of this study, these three genes are thought to have jointly effect on the NF-κB signaling pathway. It may be beneficial to investigate on protein level for these three genes to illuminate at this point.
KARAKTERISTIK BAKTERI ASAM LAKTAT YANG DIISOLASI DARI SUSU KUDA SUMBA
Authors: Detha Annytha
Published: April 2020

The purpose of this study was to isolate and identify the lactic acid bacteria found in Sumba mares milk. This research will be carried out from September to November 2017 at the Veterinary Laboratory of the Livestock Service Office of East Nusa Tenggara Province. The research stages are isolation of lactic acid bacteria from Sumba mares milk by growing lactic acid bacteria on MRS agar media, and identifying lactic acid bacteria with gram staining, catalase test, motility test, and total plate count testing. Based on the results of the study, the presence of lactic acid bacteria originating from Sumba mares milk was characterized by the presence of colonies of lactic acid bacteria from Sumba mares milk which grew on MRS media agar as a selective medium for lactic acid bacteria. Based on the results of testing the characteristics of lactic acid bacteria Sumba mares milk has Gram positive, the negative results in the catalase test are characterized by not forming gas bubbles when the bacteria are added with H2O2. Based on the motility test obtained negative results or bacteria are non-motile and the number of lactic acid bacteria that can be a total picture of lactic acid bacteria that exist in Sumba mares milk in milliliter of milk. The conclusion are lactic acid bacteria isolated from Sumba mares milk has characteristic as Gram positive, basil or stem shaped, negative catalase and non motile, and has a total lactic acid bacteria of 3.5 x 108 cfu/ml (est).
PERSEBARAN SEL HASIL VAGINA SMEAR KAMBING KACANG LOKAL (CAPRA AEGAGRUS) DI KOTA KUPANG
Authors: Foeh Nancy , Datta Frans Umbu , Detha Annytha Ina Rohi , Ndaong Nemay A. , Moi Maria
Published: April 2020

Penelitian ini bertujuan untuk mengetahui gambaran sel vagina kambing kacang lokal (capra aegagrus) selama satu siklus estrus. Sampel diambil dari 10 ekor kambing kacang betina produktif dengan kisaran umur 12-18 bulan . Sampel di buat preparat ulas  dengan motode roll, dan diwarnai  dengan Giemsa ,dilakukan  dengan jarak interval 24 jam diulang selama 20 hari. Hasil menunjukkan persebaran sel-sel kornifikasi, superfisial, intermediet ,sel parabasal dan leukosit selama 20 hari pengamatan.  Kesimpulannya, panjang siklus estrus kambing kacang lokal (capra aegagrus) 17-20 hari dengan panjang tahapan proestrus 1-2 hari, estrus 1-2 hari, metestrus 3-5 hari dan diestrus 12-15 hari.
Designing a creative programming unit within the elementary school core curriculum
Authors: Murai Yumiko , Ikejiri Ryohei , Yamauchi Yuhei , Tanaka Ai , Nakano Seiko
Published: April 2020

Cultivating children’s creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaging in problem solving. While current trends in education, such as maker movements and computer science education, are dramatically expanding children’s opportunities for engagement in creative learning, comparatively few empirical studies explore how creative learning can be integrated into the school curriculum. The educational design research described in this paper focuses on a curriculum unit that enables students to engage with creative learning through computer programming activities while meeting curriculum goals. The data provided in this paper were drawn from three classroom tryouts, the results of which were used to drive an iterative design process. This paper also shares several insights on the impact of creative learning in curriculum teaching.
DESARROLLO Y EVALUACION DE MODELO EXVIVO PARA ENTRENAMIENTO DE ANASTOMOSIS INTRACORPOREA EN HEMICOLECTOMIA DERECHA LAPAROSCOPICA
Authors: Jarry Trujillo Cristián Ignacio , Inzunza Aguero Martín , Bellolio Roth Felipe , Marino Coloma Carlo , Achurra Tirado Pablo , Varas Cohen Julián , Larach Kattan José Tomás
Published: April 2020

Introducción: Si bien la anastomosis intracorpórea (AI) ha demostrado ha demostrado beneficios clínicos sobre la anastomosis extracorpórea (AE) en la hemicolectomía derecha laparoscópica (HDL), su aplicación ha sido limitada por su dificultad técnica y curva de aprendizaje mas larga. El presente estudio busca desarrollar y evaluar un modelo simulado para entrenar este procedimiento. Material y método: Se desarrolló un modelo en base a tejido ex vivo, con colon porcino e intestino bovino, montados en un simulador de laparoscopía. Este se modificó sucesivamente en base a entrevistas semi-estructuradas a cirujanos hasta lograr el modelo final. Para evaluar apariencia y reacción al modelo, coloproctólogos, cirujanos y residentes previamente expuestos a entrenamiento simulado, realizaron una ileotransverso anastomosis mecánica en el modelo y luego contestaron una encuesta. Resultados: Doce  sujetos participaron. Cuatro coloproctólogos, 4 residentes de coloproctología, 2 residentes de cirugía general, 1 cirujano general y 1 cirujano digestivo. El 91,6% valoró positivamente la ergonomía lograda, mientras que el 83,3% y 75% valoraron positivamente el uso del instrumental y la relación anatómica entre estructuras, respectivamente. Todos los participantes consideraron el modelo útil para entrenar sutura manual laparoscópica, el 91,6% para entrenar enterotomías y 83,3% para entrenar el uso de endograpadora. Todos declararon que el módulo permite entender y reflexionar sobre la técnica propuesta. Conclusión: Este modelo desarrollado sería útil para entrenar habilidades críticas para realizar una AI en HDL. Su incorporación a un programa de entrenamiento en laparoscopía avanzada podría contribuir a acortar la curva de aprendizaje de este procedimiento.
Tumor neuroendocrino Tipo 1: reporte de un caso y revisión de la literatura
Authors: Ortega Gonzalez Francisco , Yañez Benavides Nicolas , Muñoz Castro Cesar , Pulgar Boin Dahiana Andrea
Published: April 2020

Introducción: Los tumores neuroendocrinos (TNE), son tumores compuestos por células productoras de péptidos y aminas. Los TNE gástricos, representan el 1% de todas las neoplasias, sin embargo su incidencia ha ido en aumento. Son generalmente asintomáticos y no funcionantes. El tratamiento es generalmente la resección local.Caso Clínico: paciente de 48 años con sospecha de cáncer gástrico; su estudio demuestra un TNE gástrico bien diferenciado tipo 1. Se realiza etapificación y se define en comité oncológico la vigilancia endoscópica.  El hallazgo de un TNE, en el estudio de cáncer gástrico, es un hallazgo poco frecuente. Debido al aumento progresivo en la realización de endoscopías digestivas altas, secundario a la alta prevalencia de cáncer gástrico en nuestro país, se espera que aumenten hallazgos como un TNE. Es por esto que realizamos una revisión de la literatura y planteamos algunas conclusiones al respecto.
Resúmenes 92° Congreso Chileno e Internacional de Cirugía
Authors: Garcia C. Carlos , Yarmuch G. Julio
Published: April 2020

Ante la imposibilidad de realizar este Congreso por la pandemia mundial a que hemos estado expuestos y ante la inquietud de una cantidad importante de autores de trabajos preparados y aceptados para dicho Congreso, el Directorio de la Sociedad ha decidido la publicación en la revista electrónica del Tomo de Resúmenes, de tal modo que ellos puedan ser citados como material de producción científica.
Brain Computer Interface Controlled Voice Assistant
Authors:   MTech, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Chennai, India., Sarkar* Rahul , Prakash Dr. M. ,   Associate Professor, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Chennai, India.
Published: April 2020

A brain-controlled robot using brain computer interfaces (BCIs) was explored in this project. BCIs are systems that are able to circumvent traditional communication channels (i.e. muscles and thoughts), to ensure the human brain and physical devices communicate directly and are in charge by converting various patterns of brain activity to instructions in real time. An automation can be managed with these commands. The project work seeks to build and monitor a program that can help the disabled people accomplish certain activities independently of others in their daily lives. Develop open-source EEG and brain-computer interface analysis software. The quality and performance of BCI of different EEG signals are compared. Variable signals obtained through MATLAB Processing from the Brainwave sensor. Automation modules operate by means of the BCI system. The Brain Computer Interface aims to build a fast and reliable link between a person's brain and a personal computer. The controls also use the Brain-Computer Interface for home appliances. The system will integrate with any smartphones voice assistant.
Automatic Sentiment Analysis Model Creation using Multi Kernel Improved Extreme Learning Machine
Authors:   Scholar, Department of MCA, Jain Deemed to be University, Bangalore, India., Srinidhi* B. S. , Suchithra R. ,   Director, Department of MCA, Jain Deemed to be University, Bangalore, India.
Published: April 2020

Recent research activities related to opinion mining, sentiment analysis and emotion detection from natural language texts are all under the umbrella of affective computation. There is now a huge amount of textual information on social media (for example, forums, blogs, and social media) about consumers' ideas about buying products and service experiences. Sentiment analysis or opinion mining is part of an investigation that analyzes people's thoughts and feelings from written text available online. In this paper, this work present a comprehensive experiment to evaluate the effectiveness of psychological and linguistic features in emotion classification. In this scheme, we used five broad categories of LIWC (namely, psychological processes, linguistic processes, punctuation, spoken categories and personal concerns) as feature sets. Five types of LIWCs and their group combinations were considered in the experimental analysis. To understand the predictive performance of various aspects of the engineering scheme, five controlled learning algorithms (namely, Naïve Bayes, support vector machines, Extreme Learning Machine, Kernel Extreme Learning Machine, Multi Kernel Extreme Learning Machine) and proposed Multi Kernel Improved Extreme Learning Machine (MKIELM) are used. Experimental results show that the ensemble feature sets provides a higher predictive effect than the individual set..
IoT Based Smart Irrigation Monitoring & Controlling System in Agriculture
Authors:   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh., Islam* Md. Mehedi , Al-Momin Md. ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh., Tauhid A.B.M. ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh., Hossain Md. Kamal ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh., Sarker Sumonto ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Published: April 2020

This work is primarily about the improvement of current agricultural practices by using modern technologies for betterment of agriculture and modernization the traditional agriculture system. Internet of Things(IoT) plays a crowning role in smart agriculture. The project will help root level farmers to get into smart irrigation in term of agriculture. Which provide greater service in less cost in irrigation and lowest man power. Smart irrigation is an empirical concept because IoT sensors capable of providing information about their agriculture fields and making irrigation automated by Internet of Things. The feature of this paper includes monitoring temperature, humidity, pH and water level in agricultural field through sensors. The data from sensors are sent to Web server database using wireless transmission. Controlling of all these operations will be through any remote smart device or computer connected to internet and rain condition is also applied to the operations. It will be performed by interfacing sensors, IFTT app, Smart agriculture app, Wi-Fi and raspberry pi.
Existential Methods on Diabetes Detection using Machine Learning
Authors:   Assistant Professor, G. H. Raisoni Institite of Enginerring and Technology, Wagholi, Pune, India., Baviskar Mrs. Vaishali Y.
Published: April 2020

Nowadays, a lot of research is going on in healthcare. One of the significant diseases increased all over the world is Diabetes Mellitus (DM). In this paper, the literature review is done on diabetes prediction using Machine Learning and Deep Learning techniques. Various ML algorithms are used using PIDD (Pima Indian diabetes dataset), and improved k- means using logistic regression among all algorithms achieved the highest accuracy. DL algorithms like CNN and LMST used in diabetic retinopathy images.
Quality Improvement through ICT based Admission Process in Open and Distance Mode of Education
Authors:   Research Scholar Dr. C. V. Raman University, Bilaspur, Tiwari* Arvind , Ghosh Dr. S. M. ,   Professor Dept. of CSE Dr. C. V. Raman University, Bilaspur, Mitra Saurabh ,   Associate Professor Dept. of ECE saurabh Dr. C. V. Raman University, Bilaspur
Published: April 2020

The Open and Distance Learning (ODL) framework has demonstrated a huge development during the previous barely any decades because of its one of a kind component of being an easy to use framework. In this framework, the understudies are allowed to learn at their own pace and comfort while being endlessly from the establishment. This uniqueness and the simplicity of picking up information have a vital task to carry out in encouraging the present developing information society. Data and correspondence innovation (ICT) has altogether influenced the procedure of affirmation in higher instructive organizations. ICT likewise improves the collaboration between the understudies and the foundation just as academician as well. ICT based apparatuses and innovation not just valuable for the customary method of instruction it additionally assumes significant job in open and separation learning mode and improves the offices of the establishment for the students. It has given an edge to available resources of customary type of confirmation process and has given new measurements to online affirmation. The article expects to gauge the effect of ICT on online confirmation process in higher instructive establishments in the province of Chhattisgarh. The system of the investigation plans to discover the between impact of ICT among the scholarly foundations for the online confirmation process in the province of Chhattisgarh. The result proposes ICT selection during the time spent confirmation among scholarly establishments in the province of Chhattisgarh for the open and separation training.
Analysis of Engine Radiator Performance at Different Coolant Concentrations and Radiator Materials
Authors:   is with the Al-Furat Al-Awsat Technical University, Technical College Al-Mussaib, Babylon, Iraq, Habeeb Hiyam Adil , Mohan Ahmed Esmael ,   is with the Al-Furat Al-Awsat Technical University, Technical College Al-Mussaib, Babylon, Iraq, Norani Nor Ayu Mohamad ,   is with the Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia, Abdullah* Mohd Azman ,   is with the Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia, Harun Mohd Hanif ,   is with the Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
Published: April 2020

Functioning as a cooling system, a radiator is an essential component in reducing the temperature of an internal combustion engine (ICE) of a vehicle by absorbing the heat and dissipated it into the air. With good and effective radiator, the engine will perform at optimized condition. In this study, the performance of radiator was analyzed at different radiator materials and coolant concentrations. A spark ignition (SI) 1.5L engine radiator system was used at 20%, 30%, 40%, 50% and 60% ethylene glycol coolant concentrations. The simulation of heat transfer was performed on different fins material, aluminum, brass and copper using commercial available finite element analysis (FEA) software. Promising results showed that, copper fins was the best among the materials. It is also observed that the lower the coolant concentration, the better the performance of the radiator in reducing the ICE temperature.