Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPACT OF SERVICE QUALITY ON CUSTOMER SATISFACTION IN PUBLIC SECTOR AND PRIVATE SECTOR BANKS IN SURAT

Service Quality in banking sector is the most important criteria and asset for evaluating and satisfying customers and thereby increases the customer loyalty and average retention rate of customers. Among the service quality determinants, reliability, assurance and empathy have always played a pivotal role. Prior research suggests that customer perceptions and expectations are more likely to be different across service sectors. Hence, this paper examines the effect of service quality determinants on the degree of customer satisfaction in public and private banks in Surat. By realizing the gap between the perceived and actual service quality, customer satisfaction can be extremely improved. INTRODUCTION The Surat service sector also regarded as the tertiary sector of Surat economy today constitutes a wide spectrum of sectors combined such as banking, education, hotels and restaurants, insurance, wholesale and retail trade, railways, public administration, telecom and other services. One of the key contributors to our nation's GDP, the service sector has grabbed the global attention owing to the reformation in the form of privatization, removal of regulation restrictions and many more during the past decade. Parasuraman et al. (1985) discovered a new model for measuring service quality provided by various organizations especially in banking sector. In this proposed model of service quality measurement, gap analysis is used to find the difference between customers' expected service performance and actual service performance. Thus when the expected level of service to be provided to the customers are greater than the actual level of service provided by any organization, then the service quality offered is considered as low and vice versa. This model was developed initially to measure customer perception of service quality for the banking and financial services but later refined to sectors such as hospitality, telecommunications and healthcare.
Alternative approach to low‐noise amplifier design for ultra‐wideband applications

Conventional ultra‐wideband low‐noise amplifiers require a flat gain over the entire 3.1–10.6 GHz bandwidth, which severely restraints the trade‐off spaces in low noise amplifier design. This article proposes a relaxed gain‐flatness requirement based on system level investigations. Considering the wireless transceiver front‐end with antenna and propagation channel, the unflat‐gain low‐noise amplifier with an incremental gain characteristic does not degrade the performance of overall system. As an alternative to its flat‐gain counterpart, the proposed unflat gain requirement tolerates gain ripple as large as 10 dB, which greatly eases the design challenges to low‐noise amplifier for ultra‐wideband wireless receivers. Two low‐noise amplifier examples are given to demonstrate the feasibility and design flexibility under the proposed gain‐flatness requirement. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2007.
Structural analysis of the Valles Marineris fault zone : Possible evidence for large-scale strike-slip faulting on Mars

Despite four decades of research, the origin of Valles Marineris on Mars, the longest trough system in the solar system, remains uncertain. Its formation mechanism has been variably related to rifting, strike-slip faulting, and subsurface mass removal. This study focuses on the structural geology of Ius and Coprates Chasmata in southern Valles Marineris using THEMIS (Thermal Emission Imaging System), Context Camera (CTX), and HiRISE (High Resolution Imaging Science Experiment) images. The main result of the work is that the troughs and their plateau margins have experienced left-slip transtensional deformation. Syntectonic soft-sediment deformation suggests the presence of surface water during the Late Amazonian left-slip tectonics in Valles Marineris. The total left-slip motion of the southern Valles Marineris fault zone is estimated to be 150–160 km, which may have been absorbed by east-west extension across Noctis Labyrinthus and Syria Planum in the west and across Capri and Eos Chasmata in the east. The discovery of a large-scale (>2000 km in length and >100 km in slip) and rather narrow (<50 km in width) strike-slip fault zone by this study begs the question of why such a structure, typically associated with plate tectonics on Earth, has developed on Mars. LITHOSPHERE; v. 4; no. 4; p. 286–330. | Published online 4 June 2012. doi: 10.1130/L192.1 *E-mail: yin@ess.ucla. edu. For permission to copy, contact editing@geosociety.org | © 2012 Geological Society of America Downloaded from http://pubs.geoscienceworld. org/gsa/lithosphere/article-pdf/4/4/286/3038934/286.pdf by guest on 20 November 2021 LITHOSPHERE | Volume 4 | Number 4 | www.gsapubs. org 287 Valles Marineris fault zone | RESEARCH
Material uncertainties vs joint structural detailing : relative effect on 1 the seismic fragility of reinforced concrete frames 2 3

This paper investigates the relative effect of material properties and structural details in the joint panels on seismic fragility of 7 existing reinforced concrete (RC) frames. Five building classes with different structural details (particularly in the joint panels) 8 and material characteristics are defined according to different past design codes, for a threeand a six-storey archetype 9 geometry. Based on non-linear static or non-linear dynamic analysis procedures, results from the study show that the effect of 10 structural details on seismic fragility of the considered structures is negligible for damage states involving an essentially-elastic 11 behaviour. Conversely, this is much higher for the life-safety and near-collapse damage states, and it is considerably higher 12 than the one due to materials. Therefore, in the diagnosis phase, higher emphasis should be given to on-site investigations on 13 the actual reinforcement content/layout rather than to invasive material testing. The uncertainty related to the structural details 14 described herein is practically related to the exterior, rather than interior, joint panels. Cover removal for one of those joints 15 could potentially eliminate this specific uncertainty. As a practical action, a good practice for the in-situ testing of RC frames 16
Vayu: An Open-Source Toolbox for Visualization and Analysis of Crowd-Sourced Sensor Data

Recent advances in sensor technology and the availability of low-cost and low-power sensors have changed the air quality monitoring paradigm. These sensors are being widely used by scientists and citizens for monitoring air quality at finer spatial-temporal resolution. Such practices are opening up opportunities to enhance the traditional monitoring networks, but at the same time, these sensors are producing large data sets that can become overwhelming and challenging when it comes to the scientific tools and skills required to analyze the data. To address this challenge, an open-source, robust, and cross-platform sensor data analysis toolbox called Vayu is developed that allows researchers and citizens to do detailed and reproducible analyses of air quality data. Vayu combines the power of visualization and statistical analysis using a simple and intuitive graphical user interface. Additionally, it offers a comprehensive set of tools for systematic analysis such as data conversion, interpolation, aggregation, and prediction. Even though Vayu was developed with air quality research in mind, it can be used to analyze different kinds of time-series data.
The Non‐Use of Computers in Undergraduate Engineering Science Courses

Based on visits to twelve institutions spread across the United States, a survey was made of how engineering science courses have been influenced by the ready availability of computers. Although the sample was too small to support general conclusions, the findings were so consistent that they are presented as a possible stimulus to faculty members and others to make the same observations at other institutions. The survey supports the conclusion that computers are usually not used effectively in undergraduate engineering science courses. Often, they are not used at all. Problem‐solving approaches and calculation methods are little influenced by the availability of computers. Typically, faculty members reacted to this conclusion with disbelief and denial until they made their own observations. Speculation is offered on why faculty members do not use computers effectively in engineering science courses and why they initially deny the conclusion above. The challenge suggested for faculty members and industrial advisory board members is to make similar observations. The results may be eye‐opening.
The annotation and analysis of complex 3D plant organs using 3DCoordX

A fundamental question in biology concerns how molecular and cellular processes become integrated during morphogenesis. In plants, characterization of 3D digital representations of organs at single-cell resolution represents a promising approach to addressing this problem. A major challenge is to provide organ-centric spatial context to cells of an organ. We developed several general rules for the annotation of cell position and embodied them in 3DCoordX, a user-interactive computer toolbox implemented in the open-source software MorphoGraphX. It enables rapid spatial annotation of cells even in highly curved biological shapes. With the help of 3DCoordX we obtained new insight by analyzing cellular growth patterns in organs of several species. For example, the data indicated the presence of a basal cell proliferation zone in the ovule primordium of Arabidopsis thaliana. Proof-of-concept analyses suggested a preferential increase in cell length associated with neck elongation in the archegonium of Marchantia polymorpha and variations in cell volume linked to central morphogenetic features of a trap of the carnivorous plant Utricularia gibba. Our work demonstrates the broad applicability of the developed strategies as they provide organ-centric spatial context to cellular features in plant organs of diverse shape complexity.
Impact of small-scale irrigation schemes on household food security in the context of persisting droughts: Comparative quasi-experimental analysis of irrigation water users and non-users in Southwest Ethiopia

A comparative quasi-experimental analysis was made on the impact of small-scale irrigation interventions on household food security, taking irrigation water and farm extension users and nonusers in persisting drought contexts in South West Ethiopia. A cross-sectional survey was employed to collect data from randomly selected respondents from both groups. The daily calorie intake was significantly different for the two groups and this was revealed by employing a descriptive statistic, probit model and a propensity score matching. The study concluded with the policy concern that while expanding small scale irrigation supported by productive farm extension packages improves household food security and food surplus for marketing, it also enhances: (1) inequality; (2) conflict over water triggered by the new arrangements; and (3) decline in water yield; risking sustainability of the use of the irrigation water. Such interventions thus demand environmental and land restoration measures.
Analysis of Face Detection Techniques

The image processing is the technology which can process the information which is stored in the form of pixels. The face recognization is the technique of neural networks for the bio metric system. The face spoof is the attack which is possible in the bio-metric systems. The face detection systems are broadly classified into classification systems and AI systems. In this review paper, the classification techniques for the face detection is reviewed and analyzed in terms of certain parameters ____________________________________________________________________________________________
DEVELOPMENT OF DATA MINING SYSTEM TO ASSESS THE PERFORMANCE OF EAHC WITH FARTHEST FIRST CLUSTERING ALGORITHM USING SENSOR DISCRIMINATION DATASET

: Data mining has evolved into a vital and active area of research because of theoretical challenges and practical applications associated with the problem of discovering (or extracting) interesting and previously unknown knowledge from very large real-world databases. Many aspects of data mining have been investigated in several related fields. The last decade had experienced a revolution in the information availability and exchange via the internet. The main aim of the research is decision making approach to take right decision for design and development of classification and clustering techniques of data mining system. Regarding the classification and clustering algorithm, we rely on Upgraded Random Forest classification algorithm and EAHC with Farthest First Clustering as a greedy classification method. Using this method, several approaches are proposed to work on binary and multiclass scenarios. The proposed system gives better classification and clustering performance when compared to other popular algorithms
Radiation TherapyeInduced Changes of the Nasopharyngeal Commensal Microbiome in Nasopharyngeal Carcinoma Patients

*Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; yDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China; zRadiation Oncology Clinical Medical Research Center of Guangxi, Nanning, Nanning, P. R. China; and xDepartment of Otolaryngology-Head & Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
Analyzing Adoption of COVID-19 Contact Tracing Apps Using UTAUT

Contact tracing apps have been a highly debated topic during the COVID-19 epidemic. Recently released COVID-19 contact tracing apps have been lagging behind in terms of user adoption. As user adoption is crucial to the effectiveness of contact tracing apps, there needs to be a deeper investigation into possible influences on the user adoption of such apps. Therefore, this research will propose a modified version of the Unified Theory of Acceptance and Use of Technology (UTAUT) founded on a systematic literature review. A survey has been conducted with 134 participants based on this modified model. Performance expectancy and perceived credibility have been determined to have a significant impact on the intention to use a contract tracing app. Apart from providing receiving notifications about possible infections, current contract tracing apps appear to not provide a clear benefit to the user and are perceived as somewhat unsafe and privacy-invading. Furthermore, contact tracing apps might turn out to be a failure, as this research finds a low intention to use such apps. This research contributes to understanding user adoption of contract tracing apps and gives insights into possible improvements regarding the development and approach of such apps.
On Slavic semelfactives and secondary imperfectives: Implications for the split â•ŸAspPâ•Ž

The Russian semelfactive (event-minimizing) suffix 'nu' (e.g. pryg-nu-t’ = to jump once), rarely discussed in the rich literature on Slavic aspect, (Forsyth 1970, Fowler 1994, Borik 2002, Svenonius 2004a,b,c, Filip 2000, 2003, Romanova 2004, inter alia) presents an interesting problem as it shows a number of striking differences from other perfective operators and unexpected, previously unobserved similarities to the secondary imperfective suffix 'iv' (e.g. vy-pry-iv-at’ = to be jumping out). I argue that both suffixes instantiate the same light verb v. Whether the v is realized as nu or iv depends on whether it has features [+Inst] or [+Prog]/ [+Hab] respectively. The paper is embedded into a large body of work (Svenonius 2004, Romanova 2004, Matushansky 2002) that treats aspectual prefixes in Slavic as prepositions. It adds to the existing discourse by addressing the status of aspectual suffixes. Empirically, the proposal unifies the seemingly distant secondary imperfective and semelfactive suffixes in Russian and links them to light verb constructions such as those present in Hindi and Yiddish. On a theoretical side, the proposal places the aspectual phrase (AspP) into a typology of split categories alongside CP (Rizzi 1997) and IP (Pollock 1989). The overall conclusion that emerges from the proposal is that while the perfective/ imperfective distinction in Slavic is a real one, it is semantic in nature and is not due to the [+/perfective] feature on an Aspect head. In Slavic, and arguably, universally, Asp is a collocation of syntactic heads, but is not itself a head. This conference paper is available in University of Pennsylvania Working Papers in Linguistics: https://repository.upenn. edu/pwpl/vol14/iss1/20 U. Penn Working Papers in Linguistics, Volume 14.1, 2008 On Slavic Semelfactives and Secondary Imperfectives : Implications for the Split ‘AspP’ Vita G. Markman
AEDS-05-2020-0084_proof 308..321

Purpose – This paper aims to investigate the impact of COVID-19 on the students studying in higher education institutions pre and during Movement Control Order (MCO). MCO was introduced in March 2020, and the learning processmust switch from face-to-face to online learning in schools and universities. This study particularly focuses on university students by analyzing the students’ motivation, the community of inquiry and learning performance. In total, three factors are examined in the construct of the community of inquiry, namely social presence, cognitive presence and teaching presence. Design/methodology/approach – This paper provides quantitative analysis and paired sample t-tests on the students’ learningmotivation, the community of inquiry and learning performance. This paper presents the analysis of the online learning preference of 282 university students and examines whether there is significant difference in preference before and during MCO. Findings – The findings indicated that the students lost motivation and learning performance using online learning methods during the MCO period. There is a lack of infrastructure to support the learning and social support from the lecturers and peers. Research limitations/implications – This research helps to explore improvements that are needed to manage such a pandemic to support teaching staff and students. Practical implications –The COVID-19 is a pandemic that has affected the learning process of the students, and it should not be neglected even when it is over. Policymakers shall consider providing more training and better infrastructures to cater to smooth Internet connection and platform for online learning. Students are not able to focus on learning using online learning methods and, they lack motivation during the pandemic. The teaching faculty also need to be well-trained in delivering online courses and to be more tech-savvy. Social implications – With the detailed analysis of the students’ learning motivation, the community of inquiry and learning performance, it helps to promote a better education environment. Originality/value –This is the first study to examine the learningmotivation and performancemodel as well as the community of inquiry during the pandemic. It is evident that university students initially have a high level of motivation and community of inquiry before the pandemic but yield a significant drop during theMCO. The paper presented how COVID-19 seriously impacted on the learning experience.
PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification

Recent deep neural network models trained on smaller and less diverse datasets use data augmentation to alleviate limitations such as overfitting, reduced robustness, and lower generalization. Methods using 3D datasets are among the most common to use data augmentation techniques such as random point drop, scaling, translation, rotations, and jittering. However, these data augmentation techniques are fixed and are often applied to the entire object, ignoring the object’s local geometry. Different local neighborhoods on the object surface hold a different amount of geometric complexity. Applying the same data augmentation techniques at the object level is less effective in augmenting local neighborhoods with complex structures. This paper presents PatchAugment, a data augmentation framework to apply different augmentation techniques to the local neighborhoods. Our experimental studies on PointNet++ and DGCNN models demonstrate the effectiveness of PatchAugment on the task of 3D Point Cloud Classification. We evaluated our technique against these models using four benchmark datasets, ModelNet40 (synthetic), ModelNetlO (synthetic), SHREC’16 (synthetic) and ScanObjectNN (real-world).
The Role of Expectation and Beliefs on the Effects of Non-Invasive Brain Stimulation

Non-invasive brain stimulation (NIBS) techniques are used in clinical and cognitive neuroscience to induce a mild magnetic or electric field in the brain to modulate behavior and cortical activation. Despite the great body of literature demonstrating promising results, unexpected or even paradoxical outcomes are sometimes observed. This might be due either to technical and methodological issues (e.g., stimulation parameters, stimulated brain area), or to participants’ expectations and beliefs before and during the stimulation sessions. In this narrative review, we present some studies showing that placebo and nocebo effects, associated with positive and negative expectations, respectively, could be present in NIBS trials, both in experimental and in clinical settings. The lack of systematic evaluation of subjective expectations and beliefs before and after stimulation could represent a caveat that overshadows the potential contribution of placebo and nocebo effects in the outcome of NIBS trials.
Measuring the epidemiological impact of a false negative: Evidence from a natural experiment

Reliable COVID-19 testing remains a central pillar to manage the pandemic. Yet, the accuracy and reliability of tests and test equipment has regularly been brought into question. Both false-positive and false-negative test results con-vey costs. Yet, false negatives are likely more problematic due to the risk of onward transmission and the failure to break infection chains as a result. This paper studies the epidemiological impact of a false negative in the context of a high vaccine uptake country. Between 2 September and 12 October an estimated 43,000 PCR tests in the UK may have produced a false negative test result with individuals infected being told that they tested negative. These instances were particularly pronounced in the South West of England. Using a synthetic control method approach concentrating on the 13 most affected regions, this paper estimates that every false negative COVID-19 case is likely to have caused between 0.6 to 1.6 additional infections in the subsequent weeks. there is a notable increase in the absolute number of positive lateral ﬂow test matched with a PCR test that produce a negative PCR test result. Panel B presents the % of positive lateral ﬂow tests that are matched to a conﬁrmatory PCR test producing a negative result starting in the whole population of conﬁrmatory PCR tests that were conducted. We observe a notable increase during weeks 35 to 40 when the Immensa lab operations were suspended.