Importance-Performance Analysis of Guest Entertainment Technology Amenities in the Lodging Industry

An assessment of how hotel guests view in-room entertainment-technology amenities was conducted to compare the importance of these technologies to how they performed. In-room entertainment technology continues to evolve in the hotel industry. However, given the multitude of entertainment products available in the marketplace today, hoteliers have little understanding of guests’ expectations and of which in-room entertainment-technology amenities will drive guest satisfaction and increase loyalty to the hotel brand. Given that technology is integral to a hotel stay, this study seeks to evaluate the importance and performance of in-room entertainment-technology amenities. Findings indicate that free-to-guest television (FTG TV) and high-speed Internet access were the two most important inroom entertainment-technology amenities when it comes to the selection of a hotel for both leisure and business travelers. The Importance/Satisfaction Matrix presented in the current study showed that many of the in-room entertainment-technology amenities are currently a low priority for guests. Keywords: importance-performance analysis, hotel, in-room entertainment technologie

Research Note: Biometric Technology Applications and Trends in Hotels

The purpose of this study is to investigate the biometrics technologies adopted by hotels and the perception of hotel managers toward biometric technology applications. A descriptive, cross sectional survey was developed based on extensive review of literature and expert opinions. The population for this survey was property level executive managers in the U.S. hotels. Members of American Hotel and Lodging Association (AHLA) were selected as the target population for this study. The most frequent use of biometric technology is by hotel employees in the form of fingerprint scanning. Cost still seems to be one of the major barriers to adoption of biometric technology applications. The findings of this study showed that there definitely is a future in using biometric technology applications in hotels in the future, however, according to hoteliers; neither guests nor hoteliers are ready for it fully

Pair Production of Fourth Family Charged Sleptons at e+e−e^{+}e^{-} Colliders

We study the pair production of $\tilde{l}_{4}$, which is the supersymmetric partner of the fourth family charged lepton, at the $e^{+}e^{-}$ colliders. It is shown that the investigation of this process at ILC/CLIC will give opportunity to differentiate the MSSM with three and four families.Comment: 6 pages, 2 figure

Finding class C GPCR subtype-discriminating n-grams through feature selection

G protein-coupled receptors (GPCRs) are a large and heterogeneous superfamily of receptors that are key cell players for their role as extracellular signal transmitters. Class C GPCRs, in particular, are of great interest in pharmacology. The lack of knowledge about their full 3-D structure prompts the use of their primary amino acid sequences for the construction of robust classifiers, capable of discriminating their different subtypes. In this paper, we describe the use of feature selection techniques to build Support Vector Machine (SVM)-based classification models from selected receptor subsequences described as n-grams. We show that this approach to classification is useful for finding class C GPCR subtype-specific motifs.Peer ReviewedPostprint (author’s final draft

An analog of glibenclamide selectively enhances autophagic degradation of misfolded α1-antitrypsin Z

The classical form of α1-antitrypsin deficiency (ATD) is characterized by intracellular accumulation of the misfolded variant α1-antitrypsin Z (ATZ) and severe liver disease in some of the affected individuals. In this study, we investigated the possibility of discovering novel therapeutic agents that would reduce ATZ accumulation by interrogating a C. elegans model of ATD with high-content genome-wide RNAi screening and computational systems pharmacology strategies. The RNAi screening was utilized to identify genes that modify the intracellular accumulation of ATZ and a novel computational pipeline was developed to make high confidence predictions on repurposable drugs. This approach identified glibenclamide (GLB), a sulfonylurea drug that has been used broadly in clinical medicine as an oral hypoglycemic agent. Here we show that GLB promotes autophagic degradation of misfolded ATZ in mammalian cell line models of ATD. Furthermore, an analog of GLB reduces hepatic ATZ accumulation and hepatic fibrosis in a mouse model in vivo without affecting blood glucose or insulin levels. These results provide support for a drug discovery strategy using simple organisms as human disease models combined with genetic and computational screening methods. They also show that GLB and/or at least one of its analogs can be immediately tested to arrest the progression of human ATD liver disease.</div

Impact of the relatively light fourth family neutrino on the Higgs boson search

The existence of a fourth fermion generation has mostly been considered as a source of enhanced Higgs signals with respect to the 3 family Standard Model predictions. However, a fourth Standard Model family neutrino could cause the opposite situation. It is shown that relatively light fourth family neutrino (2m_(nu_(4))<m_(H)) could drastically change the interpretation of the search results for the Higgs boson, especially if m_(H)<170 GeV.Comment: 5 pages, 9 figure

A Search for leptophilic Z_(l) boson at future linear colliders

We study the possible dynamics associated with leptonic charge in future linear colliders. Leptophilic massive vector boson, Z_(l), have been investigated through the process e^(+)e^(-) -> mu^(+)mu^(-). We have shown that ILC and CLIC will give opportunity to observe Z_(l) with masses up to the center of mass energy if the corresponding coupling constant g_(l) exceeds 10^(-3).Comment: 12 pages, 10 figure

Infinite Width Graph Neural Networks for Node Regression/ Classification

This work analyzes Graph Neural Networks, a generalization of Fully-Connected Deep Neural Nets on Graph structured data, when their width, that is the number of nodes in each fullyconnected layer is increasing to infinity. Infinite Width Neural Networks are connecting Deep Learning to Gaussian Processes and Kernels, both Machine Learning Frameworks with long traditions and extensive theoretical foundations. Gaussian Processes and Kernels have much less hyperparameters then Neural Networks and can be used for uncertainty estimation, making them more user friendly for applications. This works extends the increasing amount of research connecting Gaussian Processes and Kernels to Neural Networks. The Kernel and Gaussian Process closed forms are derived for a variety of architectures, namely the standard Graph Neural Network, the Graph Neural Network with Skip-Concatenate Connections and the Graph Attention Neural Network. All architectures are evaluated on a variety of datasets on the task of transductive Node Regression and Classification. Additionally, a Spectral Sparsification method known as Effective Resistance is used to improve runtime and memory requirements. Extending the setting to inductive graph learning tasks (Graph Regression/ Classification) is straightforward and is briefly discussed in 3.5.Comment: 49 Pages, 2 Figures (with subfigures), multiple tables, v2: made table of contents fit to one page and added derivatives on GAT*NTK and GAT*GP in A.4, v3: shorten parts of introduction and fixed typos, added numberings to equations and discussion section, v4: fix two missing citations on page 1

A New Technique in Primary Repair of Congenital Esophageal Atresia Preventing Anastomotic Stricture Formation and Describing the Opening Condition of Blind Pouch: Plus (“+”) Incision

Anastomotic strictures are common and important problems following repair procedures of esophageal atresia. We hereby defined an anastomosis technique that could efficiently prevent this complication in 11 patients with esophageal atresia (EA) and tracheoesophageal fistula (TEF). The proximal end of the atretic esophagus was opened with a plus (“+”)-shaped incision providing sufficient anastomosis width. Longitudinal incisions of 2 mm length were made on the anterior and posterior parts of the distal end according to the patients. The two ends were anastomosed with a primary suture at a single plain. We performed this technique on 11 patients, and in the 4-year follow-up period no dilatation proved necessary in any of our patients due to anastomotic strictures or symptomatic dysphagia. This technique that we have described provides a large zigzag anastomosis line and in this way minimizes the incidence of stricture formation. Furthermore, this technique, which we believe to have provided a new opinion on the topic of how to open the proximal end of an atretic esophagus, is quite easy and effective

The Use of Energy Resources as Foreign Policy Tools: The Russian Case

The energy industry has an important place in the policies of Vladimir Putin, who became the president of Russia in 2000. During this period, Russia’s economic and political power has increased through the rise of oil prices. Accordingly, Russia began to follow pro-active foreign policy on a global scale. “Energy Resources” used as a tool in foreign policy, are one of the dimensions of this proactive policy. In this study, how the energy resources are used in foreign policies of states is analyzed by the sample of Russia. Furthermore, the place of energy industry in the Russian economy and some of the outstanding companies operating in this industry are examined. On the other hand transportation policies (the energy corridors of Russia), performed inside and outside the country, are accompanied with some examples. Then, the role of energy is analyzed in the outputs of foreign policy followed by Russia