Miracle-dz/UniFAR-FTUs huggingface dataset:
Service Classification Scheme for Platform Businesses

This article addresses the shortcoming that existing service classifications cannot characterize services of platform businesses. To resolve this shortcoming, a literature review has been conducted, identifying existing service classifications and their attributes. Our comparison shows also that there are similarities between existing classification schemes with respect to customer and managing processes. To identify limitations of existing classifications, a use case about a platform business was analyzed. Our results show that traditional attributes are not sufficient to describe platform services. To settle this, we propose additional attributes that can also address services of platform businesses.
A RFMV Model and Customer Segmentation Based on Variety of Products

Today, increased competition between organizations has led them to seek a better understanding of customer behavior through innovative ways of storing and analyzing their information. Moreover, the emergence of new computing technologies has brought about major changes in the ability of organizations to collect, store and analyze macro-data. Therefore, over thousands of data can be stored for each customer. Hence, customer satisfaction is one of the most important organizational goals. Since all customers do not represent the same profitability to an organization, understanding and identifying the valuable customers has become the most important organizational challenge. Thus, understanding customers’ behavioral variables and categorizing customers based on these characteristics could provide better insight that will help business owners and industries to adopt appropriate marketing strategies such as up-selling and cross-selling. The use of these strategies is based on a fundamental variable, variety of products. Diversity in individual consumption may lead to increased demand for variety of products; therefore, variety of products can be used, along with other behavioral variables, to better understand and categorize customers’ behavior. Given the importance of the variety of products as one of the main parameters of assessing customer behavior, studying this factor in the field of business-to-business (B2B) communication represents a vital new approach. Hence, this study aims to cluster customers based on a developed RFM model, namely RFMV, by adding a variable of variety of products (V). Therefore, CRISP-DM and K-means algorithm was used for clustering. The results of the study indicated that the variable V, variety of products, is effective in calculating customers’ value. Moreover, the results indicated the better customers clustering and valuation by using the RFMV model. As a whole, the results of modeling indicate that the variety of products along with other behavioral variables provide more accurate clustering than RFM model.
High-Resolution Traffic Sensing with Autonomous Vehicles

The last decades have witnessed the breakthrough of autonomous vehicles (AVs), and the perception capabilities of AVs have been dramatically improved. Various sensors installed on AVs, including, but are not limited to, LiDAR, radar, camera and stereovision, will be collecting massive data and perceiving the surrounding traffic states continuously. In fact, a fleet of AVs can serve as floating (or probe) sensors, which can be utilized to infer traffic information while cruising around the roadway networks. In contrast, conventional traffic sensing methods rely on fixed traffic sensors such as loop detectors, cameras and microwave vehicle detectors. Due to the high cost of conventional traffic sensors, traffic state data are usually obtained in a low-frequency and sparse manner. In view of this, this paper leverages rich data collected through AVs to propose the high-resolution traffic sensing framework. The proposed framework estimates the fundamental traffic state variables, namely, flow, density and speed in high spatio-temporal resolution, and it is developed under different levels of AV perception capabilities and low AV market penetration rate. The Next Generation Simulation (NGSIM) data is adopted to examine the accuracy and robustness of the proposed framework. Experimental results show that the proposed estimation framework achieves high accuracy even with low AV market penetration rate. Sensitivity analysis regarding AV penetration rate, sensor configuration, and perception accuracy will also be studied. This study will help policymakers and private sectors (e.g Uber, Waymo) to understand the values of AVs, especially the values of massive data collected by AVs, in traffic operation and management.
Reduce cost and efficient access for cloud storage Using Intermediate Cloud Datasets

Cloud computing provides massive computation power and storage capacity which enable users to deploy computation and data-intensive applications without infrastructure investment. Along the processing of such applications, a large volume of intermediate data sets will be generated, and often stored to save the cost of re computing them. However, preserving the privacy of intermediate data sets becomes a challenging problem because adversaries may recover privacy-sensitive information by analyzing multiple intermediate data sets. Encrypting ALL data sets in cloud is widely adopted in existing approaches to address this challenge. But we argue that encrypting all intermediate data sets are neither efficient nor cost-effective because it is very time consuming and costly for data-intensive applications to en/decrypt data sets frequently while performing any operation on them. In this paper, we propose a novel upper bound privacy leakage constraint-based approach to identify which intermediate data sets need to be encrypted and which do not, so that privacypreserving cost can be saved while the privacy requirements of data holders can still be satisfied. Evaluation results demonstrate that the privacy-preserving cost of intermediate data sets can be significantly reduced with our approach over existing ones where all data sets are encrypted.
Binocular vertical diplopia following chemical labyrinthectomy with gentamicin : A case report and review of literature

La laberintectomía química con gentamicina (LQG) es un procedimiento ambulatorio mínimamente invasivo en donde se pretende que el fármaco alcance elevadas concentraciones cocleares y una escasa difusión sistémica. Asimismo, representa una alternativa útil en el manejo de la enfermedad de Ménière (EM) sin respuesta al tratamiento médico convencional. Si bien la toxicidad vestibular secundaria a la LQG es un efecto adverso conocido, las alteraciones visuales son muy infrecuentes y solo se han descrito 3 casos de diplopía vertical binocular (DVB) con desviación en skew (DS) debidos a este régimen terapéutico. Presentamos un cuarto caso, en donde una mujer con EM, desarrolló una DVB tras ser sometida a una primera sesión de LQG. Se trataba de una mujer de 79 años, con una EM del oído izquierdo farmacorrefractaria, de 2 años de evolución, que había recibido una instilación de gentamicina intratimpánica (30 mg/mL; 0,5 mL) hacía 1 semana. Previo a la administración de la siguiente dosis, refirió un cuadro de 5 días de evolución consistente en DVB. Ante este contexto clínico, su otorrinolaringólogo solicitó una evaluación neuro-oftalmológica urgente. El análisis de los movimientos extraoculares evidenció una hipertropía derecha de 3 dioptrías prismáticas, en todas las posiciones de la mirada (fig. 1), siendo las demás pruebas realizadas (agudeza visual, reflejo pupilar, campimetría por confrontación, sacadas y seguimientos oculares, test de Bielschowsky y de las láminas seudoisocromáticas de Ishihara, fondo de ojo y lámpara de hendidura) negativas. La paciente no había modificado su medicación habitual y sus constantes vitales, su situación cognitiva y el resto del examen clínico fueron normales. A pesar de ello, fue ingresada en planta de Neurología ante una posible afectación del sistema nervioso central (SNC). La analítica y la resonancia magnética cerebral no mostraron datos reseñables. Finalmente, fue dada de alta con la prescripción de continuar el tratamiento iniciado durante el ingreso, con un parche monocular alternante diario y prismas ópticos. Después de 8 semanas, tras seguimiento en consultas de Neurología y Oftalmología, la DVB desapareció, pudiendo completarse el diagnóstico de DS debida a LQG. Ante todo, la DVB constituye una urgencia médica que requiere una valoración neuro-oftalmológica inmediata. La DS está considerada una de las causas más frecuentes de DVB (tabla 1), así como la traducción semiológica de un daño a nivel troncoencefálico o cerebeloso. No obstante, esta manifestación clínica puede observarse en la fase aguda o subaguda subsecuente a una cirugía vestibular periférica unilateral1-5. Por otro lado, la EM es un trastorno crónico del oído interno que se manifiesta con vértigo, tinnitus, sensación de plenitud ótica e hipoacusia fluctuante. Hoy en
Enabling Demand Response Potentials for Resilient Microgrid Design

The future microgrids (MGs) hosting a great deal of uncertain and intermittent local renewable generations are envisioned to need for fast and flexible units in the generation side. Demand response, however, as a load shaping tool can alleviate the needs. This paper proposes a model to consider demand response potentials activated by time-varying prices in MG design studies. The model aims at maximizing MG owner’s profit while technical limits and constraints are adhered. The model also ensures that the designed MG is resilient against islanding events. To handle complexity of the model, Benders decomposition is used to decompose the model into a master problem and two types of sub-problems. The master problem optimizes binary variables indicating installing status of generating units and batteries. The first type of sub-problems optimizes continuous variables, and the second ensures the resilient operation of the MG against islanding events. In the model, the uncertainties associated with load and intermittent generation resources are captured via a scenario-based stochastic approach. The demand behavior in response to time-varying prices is modeled via price elasticity coefficients. The effectiveness of the proposed model is demonstrated through extensive numerical studies and sensitivity analyses.
El Crecimiento del E-Marketing en la Business-to-Business Industry y su Efecto en el Rendimiento de las Empresas en Pakistán : Éxito del Marketing

E-marketing technology usage continues to vary, even with widespread acceptance of the Internet by several organizations. However, there is a lack of empirical studies regarding the use of e-marketing in the small and large businesses of Pakistan and their resulting performance effects. Therefore, the purpose of this paper is to examine the technological, organizational and environmental factors on the business performance working in Pakistan by including use of e-marketing as a mediating variable. Data has collected from marketing department of 259 businesses located in several cities. Results revealed from PLS-SEM showed eight out of nine significant hypothesis directly with use of e-marketing and firm performance and also by including use of e-marketing as a mediating variable, all results found significant except market orientation. Moreover, the results of this study have key implications for the marketing field, as they strain the vital role of marketing persons in the effective implementation of e-marketing in the firms.
Effects of the use of human patient simulators on cognitive skills and confidence levels of nursing students

RESEARCH SUBJECT: Effects of the use of human patient simulators on cognitive skills and confidence levels of nursing students STUDENT: Julie Stipes DEGREE: Masters of Science COLLEGE: College of Applied Sciences and Technology DATE: December, 2010 Typical classroom and clinical settings do not adequately prepare nursing students to care for patients experiencing an acute myocardial infarction (MI). Human patient simulators (HPS) are a tool which can be used to provide practice of nursing and clinical decision-making skills. The purpose of this study is to compare the effects of classroom lecture and the use of HPS in teaching nursing care specific to an acute MI on nursing students’ cognitive skills and confidence levels. This is a replication of a study by Brannan, White, and Bezanson (2008). The organizing framework is experiential learning. This study will be conducted at a small university on the East Coast. A convenience sample of 100 junior-level students will be used, 50 students from the fall semester of its introductory medical/surgical nursing course and 50 from the spring semester of this same course. Methods of data collection are to include the Acute Myocardial Infarction Questionnaire and the Confidence Level tool, administered to each group of students as both a pretest and posttest. The results of the study will benefit nursing faculty in determining the effectiveness of using HPS as a learning tool with their students.
Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission

In this paper, a machine learning-based tunable optical-digital signal processor is demonstrated for a short-reach optical communication system. The effect of fiber chromatic dispersion after square-law detection is mitigated using a hybrid structure, which shares the complexity between the optical and the digital domain. The optical part mitigates the chromatic dispersion by slicing the signal into small sub-bands and delaying them accordingly, before regrouping the signal again. The optimal delay is calculated in each scenario to minimize the bit error rate. The digital part is a nonlinear equalizer based on a neural network. The results are analyzed in terms of signal-to-noise penalty at the KP4 forward error correction threshold. The penalty is calculated with respect to a back-to-back transmission without equalization. Considering 32 GBd transmission and 0 dB penalty, the proposed hybrid solution shows chromatic dispersion mitigation up to 200 ps/nm (12 km of equivalent standard single-mode fiber length) for stage 1 of the hybrid module and roughly double for the second stage. A simplified version of the optical module is demonstrated with an approximated 1.5 dB penalty compared to the complete two-stage hybrid module. Chromatic dispersion tolerance for a fixed optical structure and a simpler configuration of the nonlinear equalizer is also investigated.
Hoofdstuk 4 FGF 23 impairs peripheral microvascular function in renal failure

1Dept. of Nephrology and Institute Cardiovascular Research VU (ICaR-VU), VU University Medical Center, Amsterdam, The Netherlands, 2Dept. of Physiology, ICaR-VU, VU University Medical Center, Amsterdam, The Netherlands, 3Dept. of Physiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands, 4Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, United States. On behalf of the NIGRAM consortium
Success within Front End of Innovation

Several researchers talk about how the greatest source of competitive advantage is a firm's capability to be innovative, and it is a fact that economic growth is built upon innovations and ideas. Ideas belong to the early activities of innovation processes, which can be defined as the front end of innovation (FEI). FEI has clearly been stated to be crucial for the innovative performance of firms, but yet an area which many companies often lack of handling in a structured way. What need to be considered for a successful FEI has laid the foundation of this thesis. The aim with the thesis is to investigate what are key success factors and common pitfalls for processes and activities within the FEI, and how these can be handled by management. The thesis is also investigating how ideas and innovations can be measured in order to take the right decisions for different types of ideas by a suitable level of decision-makers. The thesis was carried out as a case study at Construction Tools division at Atlas Copco who had expressed the same demand as many companies appear to struggle with: a structured FEI. The goal with the thesis is therefore to propose recommendations towards a successful FEI, including structures, methods, and tools for the case company. In order to do so, twelve semistructured qualitative interviews with internal employees followed by ten semi-structured qualitative interviews with external companies in different industries and sizes were conducted. Along with the case study, a literature study was also performed. The collected data were analyzed and benchmarked towards the literature and the research questions, which resulted in several conclusions which are both general as well as organizational specific for the case company. These are amongst others: a structured innovation portfolio management including clear budget allocation and innovation strategy; enabling a creative culture; separating staff for conducting work regarding disruptive ideas; involvement by top management in the development of ideas.
Text-to-SQL Translation with Various Neural Networks

➢Wiki SQL Dataset ➢ Contains 80654 SQL queries extracted from 24241 HTML tables from Wikipedia Approaches Baseline and different word embeddings: ➢ At first we view this task as a language translation problem, so we implemented a bidirectional-LSTM based neural machine translation model as our baseline. It can be seen that NMT performs poor than others which modeled syntactical structure information. ➢ Previous commonly used embedding is GloVe, but in this project we implemented BERT embeddings and achieved better performance.
Chronic Platelet Activation and Acute Coronary Syndromes in 13 Middle-Aged Patients

We report on clinical, laboratory, and angiographic findings that appear to characterize a group of 13 middle-aged patients who suffered acute coronary syndromes (ACS) despite little angiographic evidence of atherosclerotic heart disease (ASHD) or other risk factors. Nine of the 13 were ≤46 years of age and the rest ranged to 59 years. All had evidence of platelet disorders (PD): seven had chronic immune thrombocytopenia (ITP), one had familial thrombocytopenia, and five had other disorders affecting platelets. Evidence of long-standing chronic platelet activation was the common feature of the group, as found by (i) elevated platelet microparticles (PMP), (ii) thrombocytopenia, and (iii) enhanced procoagulant activity of plasma. Data on the 7 with ITP were compared to 20 ITP without ACS: the former had higher PMP (p < 0.01) and platelet-associated IgM (p < 0.05) relative to the ITP patient controls. Another set of patient controls consisted of 20 ACS with documented ASHD: although activation indicators were abnormal also in this group relative to normal controls (p < 0.01), the PD group of 13 had more marked abnormalities in all tests (p < 0.03), particularly in PMP and thrombocytopenia (p < 0.01). The seven youngest in the PD group appeared to respond to antiplatelet therapy since no recurrence of coronary ischemia was seen in up to 3 years of observation. It is suggested that chronic platelet activation by antibodies or immune complex may predispose those in the PD group to ACS (e.g., when under stress) despite the absence of ASHD and few other known risk factors. The true incidence of this syndrome is unknown but may be substantial. Key Words: Chronic platelet activation-Platelet microparticles-Platelet.associated IgM-Immune thrombocytopenia-Acute coronary syndromes-Middle age.
ASSESSMENT OF INSULIN RESISTANCE WITH TWO METHODS: HOMA-IR AND TYG INDEX IN IRANIAN OBESE WOMEN

Objective: The aim of the present study is assessment of insulin resistance (IR) in obese women by TyG-Index and compared with the HOMA-IR index. Materials and Methods: This cross-sectional study was performed on 61 obese women aged 18-45 years. Weights, height, waist circumference (WC) were measured andbody mass index (BMI) was calculated and recorded. A sample of fasting serum was collected to determine the glucose, triglyceride, insulin, total cholesterol, HDL-C and LDL-C concentration. HOMA-IR and TyG-Index were calculated as markers of insulin resistance. Results: The mean age of the precipitants was 32.5 ±0.79 years old and the mean weight was 86.0 ±1.7 Kg. � The number of people with IR who determined by HOMA and TyG index were 21(34%) and 36(61%), respectively. There was a significant relationship between HOMA-IR and TyG Index, r= 0.044 (P<0.001). Conclusion: TyG index represents a useful and accessible tool for assessment of IR instead HOMA_IR in Iranian population, but more researches with greater sample size and via gold standard lab test need to evaluate the specificity and sensitivity of this new method.
Evaluating the Impact of Literature Searching Services on Patient Care Through the Use of a Quick-Assessment Tool

Objectives: To evaluate the impact of literature searching services on patient care, and to create a validated quick-assessment tool to be used by other libraries to assess their own literature searching services. Methods: All users of the Regina Qu’Appelle Health Region Health Sciences Library who requested a literature search for the purposes of patient care were emailed a link to a short survey as a preamble to search results sent using LibAnswers. A reminder was sent one week after the initial invitation. Responses were collected using FluidSurveys. Face and content validation of the survey were conducted with prospective respondents, librarians, and research support staff followed by a short pilot phase to assess reliability. Results: Fifty-four responses were received for a response rate of 57.5%. Immediate impacts of the information provided included confirming, changing, or determining a diagnosis (7.1%) or treatment plan (64.3%); avoiding adverse events (9.5%); and preventing (4.8%) or initiating (2.4%) a referral or consultation to another department. Future uses for the information provided include changing the approach to particular (27.8%) or future (55.6%) patients, sharing with colleagues (68.5%), and teaching (42.6%). Conclusions: Libraries do effect change in patient care. It is possible for hospital libraries to assess the impact a service such as literature searching has on patient care without requiring a major time investment from library users. Librarians in similar settings are encouraged to further validate and use this tool to more easily compare the impact hospital libraries have on patients.
In situ UPb dating of xenotime by laser ablation ( LA )-ICP-MS

1 State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3 Institute of Mineral Deposits, Chinese Academy of Geological Sciences, Beijing 100037, China; 4 School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China