Exploring host-guest interaction on Airbnb

This study aims to examine the reviews of guests who had Airbnb experience in Mexico City, Athens, and Tokyo in terms of host-guest interaction. In this way, we intend to interpret guest's experience, satisfaction, recommend and revisit intention phenomenon in terms of depth and breadth of host's sincerity.We adopt an interpretive approach and a mixed method. That is, the study combines topic extracting technic by employing online secondary big data and explicating emerging themes and patterns. The paper highlights firstly sincerity of communication in sentences with host name emphasized. On the other hand, the host's responsive and communicative nature improves friendliness over time, which affects experience, satisfaction, recommend and revisit. Finally, Airbnb hosts are intermediator of local culture.In our research, a lexicon specific to our research topic (guest-host communication) was created by using topic extraction, Tf*Idf and named entity extraction techniques. The created lexicon can be used in other studies in this field. Furthermore, we conclude that using hosts’ name in reviews by guest an important attribute of interaction.Findings from this study provides important managerial implications for hospitality industry and Airbnb hosts who attempt to interact with guest accurately. Thence the study suggests a communication should enclose diverse and accurate information, host should pay attention to be friendly and communicative, respond as quickly as possibl

SINIF ÖĞRETMENLERİ VE SINIF ÖĞRETMEN ADAYLARI ÜZERİNE YAPILMIŞ DOKTORA ÇALIŞMALARININ İNCELENMESİ

Bu araştırmanın amacı, Türkiye’de sınıf öğretmenleri ve sınıf öğretmen adayları üzerine yapılmış doktora tezlerini belirlenen ölçütlere göre incelemektir. Tarama modelinde yürütülen bu çalışma, dokümanter analize dayalı olarak gerçekleştirilmiştir. YÖK Ulusal Tez Merkezinden temin edilen doktora tezleri 2006-2016 yılları ile sınırlandırılmıştır. Tezlere ilişkin veriler, tez kodlama formu aracılığıyla araştırmacı cinsiyeti, tamamlandığı yıl, ilgili alan, hazırlandığı üniversite, veri toplama araçları ve araştırma modeline göre kategorize edilerek, içerik analizine tabi tutulmuş ve yorumlanmıştır. Çalışmada, 2006-2016 Aralığında sınıf öğretmenliği ile ilgili olarak, kadınlarda biraz daha fazla olmak üzere, erkek araştırmacılarla benzer sayıda ve daha çok sınıf öğretmenleri ile ilgili doktora tezleri yürüttükleri, bu tezlerin en fazla 2007, 2012, 2015 ve 2016 yıllarında tamamlandığı belirlenmiştir. Bu yıllardaki artışın, eğitim sistemindeki değişimlerle ilgili olduğu değerlendirilmiştir. Çalışmada, belirlenen süreçte çoğu Gazi Üniversitesinde olmak üzere tamamlanan doktora tezlerinin, yaklaşık1/3’nün sınıf öğretmenliği; diğerlerinin ise, bu kademeyle ilgili farklı disiplinlerle ilişki olduğu belirlenmiştir. Sınıf öğretmenliğinin çok disiplinli olan doğası ile ilişkilendirilen bu durumun, sınıf öğretmenliğinin bağımsız bir disiplin olarak gelişmesini güçleştireceği değerlendirilmiştir. Çalışmada sınıf öğretmenliği ile ilgili doktora tezlerinde en fazla karma modelin kullanılmış olduğu ve veri toplama aracı olarak da ölçek ve formların kullanıldığı, bunları testler, gözlem, anket ve görüşme tekniklerinin izlediği saptanmıştır. Buradan, Türkiye’de sınıf öğretmeni disiplini araştırmacılarının, metodolojik olarak çağdaş dünyayı yakından izledikleri ve çoğunlukla karma modeli tercih etmelerinin ise, bir paradigma dönüşümüne işaret sayılabileceği sonucuna varılmıştır

Fertigasyon ve Mikoriza Uygulamalarının Tarla Koşullarında Biber Bitkisinin (Capsicum annum L.) Verimine ve Besin Elementleri Alımına Etkileri

Bu çalışmanın amacı, fertigasyon uygulamalarında farklı gübreleme zamanlarının (her sulamada gübre: H.S.G., her ikinci sulamada gübre: H.İ.S.G., her üçüncü sulamada gübre: H.Ü.S.G.) ve mikoriza uygulamalarının biber bitkisinin verimine ve besin elementleri alımına olan etkilerini araştırmaktır. Araştırma Çukurova Üniversitesi Ziraat Fakültesi Toprak Bilimi ve Bitki Besleme Bölümü’ne ait araştırma ve deneme alanında, tarla koşullarında, iki yıl süreyle ve üç tekerrürlü olarak yürütülmüştür. Çalışmada fertigasyon uygulaması geleneksel yöntem ile karşılaştırmalı olarak yapılmış, test bitkisi olarak biber ve mikoriza türü olarak Glomus caledonium kullanılmıştır. Araştırmada biber bitkisinin verimi ile yaprakların azot (N), fosfor (P), potasyum (K), demir (Fe), çinko (Zn), mangan (Mn) ve bakır (Cu) konsantrasyonları belirlenmiştir. Çalışmadan elde edilen bulgular, birinci yılda en yüksek verimin fosfor uygulanmış ve mikoriza aşılanmış her ikinci sulamada gübre uygulamasından elde edildiğini ortaya koymuştur (2809 kg/da). İkinci yılda ise, 2113 kg/da ile fosfor uygulanmayan mikoriza aşılanmış bitkilerde her sulamada gübre uygulamasında belirlenmiştir. Ayrıca, her sulamada gübre uygulaması diğer uygulamalarla karşılaştırıldığında, biber bitkisinin P konsantrasyonunu önemli ölçüde artırmıştır. Araştırmada genel olarak, mikoriza aşılanmış bitkilerin aşılanmamış bitkilerden daha yüksek verim ve besin elementi alımına sahip olduğu belirlenmiştir

Delirium in patients with acute ischemic stroke admitted to the non-intensive stroke unit: Incidence and association between clinical features and inflammatory markers

Background Stroke patients with development of delirium have unfavorable outcomes, higher mortality, longer hospitalizations, and a greater degree of dependence after discharge. Studies suggest that delirium is associated with abnormal immunological responses and a resultant increase in inflammatory markers. Objective Our aim was to determine whether there is an entity relationship between delirium, inflammation and acute ischemic stroke (AIS). Methods Sixty AIS patients admitted to the hospital were consecutively recruited. Delirium was diagnosed with the clinical assessment according to the Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria. Enzyme-linked immunosorbent assay (ELISA) was used to measure serum levels of Interleukin-1 beta (IL-1 beta), Interleukin 18 (IL-18), Tumor Necrosis Factor-alpha (TNF-alpha), Brain-Derived Neurotrophic Factor (BDNF), and Neuron Specific Enolase (NSE) at admission. Results Eleven (18.3%) of 60 patients were diagnosed with delirium, and the majority (n=8, 72.7%) was the hypoactive type. Delirious and non-delirious patients had similar demographic and clinical features. Delirious patients had significantly higher lengths of hospital stay, National Institutes of Health Stroke Scale (NIHSS) at admission and discharge compared to non-delirious patients. In addition, there was no significant statistical difference between delirious and non-delirious patients with AIS in respect of levels of TNF-alpha, IL-1 beta, IL-18, BDNF and NSE. This study suggests that delirium is not scarce in patients with AIS admitted to the non-intensive stroke unit, and that delirium developing after AIS seems not to be associated with serum TNF-alpha, IL-1 beta, IL-18, BDNF and NSE but is associated with length of hospital stay and stroke severity

Supplementary File for Capturing wheat phenotypes at the genome level

Supplementary S1: Yield and related traits in bread wheat. Table S1: Examples of genomic regions, candidate and cloned genes for yield and related traits in bread wheat. Supplementary S2: Drought tolerance. Table S2: Examples of genomic regions and candidate genes for drought tolerance. Supplementary S3: Heat tolerance. Table S3. Examples of genomic regions and candidate genes for heat tolerance. Supplementary S4: salinity tolerance in bread wheat. Table S4. Examples of genomic regions and candidate genes for salinity tolerance in bread wheat. Supplementary S5: Frost tolerance. Supplementary S6: Disease resistance. Table S5. Examples of genomic regions, candidate and cloned genes mapped for disease resistance in wheat species. Supplementary S7 insect and mite resistance. Table S6. Examples of genomic regions and candidate genes mapped for insect and mite resistance. Supplementary S8: Quality traits. Table S7. Examples of genomic regions, candidate and cloned genes for quality traits.Recent technological advances in next-generation sequencing (NGS) technologies have dramatically reduced the cost of DNA sequencing, allowing species with large and complex genomes to be sequenced. Although bread wheat (Triticum aestivum L.) is one of the world’s most important food crops, efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species, due to its large polyploid genome. However, an international public–private effort spanning 9 years reported over 65% draft genome of bread wheat in 2014, and finally, after more than a decade culminated in the release of a gold-standard, fully annotated reference wheat-genome assembly in 2018. Shortly thereafter, in 2020, the genome of assemblies of additional 15 global wheat accessions was released. As a result, wheat has now entered into the pan-genomic era, where basic resources can be efficiently exploited. Wheat genotyping with a few hundred markers has been replaced by genotyping arrays, capable of characterizing hundreds of wheat lines, using thousands of markers, providing fast, relatively inexpensive, and reliable data for exploitation in wheat breeding. These advances have opened up new opportunities for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we review the advances and perspectives in wheat genetics and genomics, with a focus on key traits, including grain yield, yield-related traits, end-use quality, and resistance to biotic and abiotic stresses. We also focus on reported candidate genes cloned and linked to traits of interest. Furthermore, we report on the improvement in the aforementioned quantitative traits, through the use of (i) clustered regularly interspaced short-palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-mediated gene-editing and (ii) positional cloning methods, and of genomic selection. Finally, we examine the utilization of genomics for the next-generation wheat breeding, providing a practical example of using in silico bioinformatics tools that are based on the wheat reference-genome sequence.Peer reviewe

Analysis of Machine Learning Methods in EtherCAT-Based Anomaly Detection

Today, the use of Ethernet-based protocols in industrial control systems (ICS) communications has led to the emergence of attacks based on information technology (IT) on supervisory control and data acquisition systems. In addition, the familiarity of Ethernet and TCP/IP protocols and the diversity and success of attacks on them raises security risks and cyber threats for ICS. This issue is compounded by the absence of encryption, authorization, and authentication mechanisms due to the development of industrial communications protocols only for performance purposes. Recent zero-day attacks, such as Triton, Stuxnet, Havex, Dragonfly, and Blackenergy, as well as the Ukraine cyber-attack, are possible because of the vulnerabilities of the systems; these attacksare carried by the protocols used in communication between PLC and I/O units or HMI and engineering stations. It is evident that there is a need for robust solutions that detect and prevent protocol-based cyber threats. In this paper, machine learning methods are evaluated for anomaly detection, particularly for EtherCAT-based ICS. To the best of the author's knowledge, there has been no research focusing on machine learning algorithms for anomaly detection of EtherCAT. Before testing anomaly detection, an EtherCAT-based water level control system testbed was developed. Then, a total of 16 events were generated in four categories and applied on the testbed. The dataset created was used for anomaly detection. The results showed that the k-nearest neighbors (k-NN) and support vector machine with genetic algorithm (SVM GA) models perform best among the 18 techniques applied. In addition to detecting anomalies, the methods are able to flag the attack types better than other techniques and are applicable in EtherCAT networks. Also, the dataset and events can be used for further studies since it is difficult to obtain data for ICS due to its critical infrastructure and continuous real-time operation

Metabolik sendromlu bir hastada sol ana koroner arter anevrizmasi

In this paper we present an aneurysm of the left main coronary artery in a patient with metabolic syndrome