Miracle-dz/UniFAR-FTUs huggingface dataset:
Fleet Sizing for Flexible Carsharing Systems

In the past 10 to 15 years, carsharing has attracted significant attention as a green transportation alternative that can reduce car dependence and promote smarter, healthier mode choice in urban areas. Despite rapid growth and aggressive funding, carsharing remains a niche product with quantifiable but relatively small benefits. A new type of carsharing seeks to expand its reach, and perhaps its benefits, by eliminating some of the inconveniences of traditional services, such as having to book in advance and having to return the car to the same location. Flexible carsharing, pioneered by Daimler's car2go program in late 2008, also introduces a logistical problem not present in traditional carsharing: the spatial distribution of vehicles tends to be irregular because of the randomness of demand. Vehicle redistribution, which can be done periodically (e.g., at the end of the day) or continuously, can be used to ameliorate this problem. By using an agent-based model of a flexible carsharing system, this research explores the trade-offs between fleet size and hired vehicle redistributors, with the objective of maximizing the demand level that can be satisfactorily served. Production functions for representative city sizes and demand densities are presented. Finally, the results of the simulation are compared with actual data from car2go's Austin, Texas, operation. The comparison shows that the simulation results are reasonably close to the measured performance of one-way carsharing in Austin.
Comparison of standard versus a new technique for classic laryngeal mask insertion

Background & Objective: With the extensive use of the laryngeal mask airway (LMA) for anesthesia as well as in emergency airway management, learning alternative techniques of insertion is essential for the safe and quick use of the device in some cases. The smooth and quick insertion of LMA leads without repeated attempts reduce the consequent complications. We compared standard technique with 180° rotation with inflated cuff technique for LMA Classic insertion. Methodology: This study was done in Basrah University Medical Center from 1st January 2019 to 31st December 2019. During this period, in 397 patients LMA was used for general anesthesia. Out of these, in 197 patients we used 180° rotation technique of insertion of LMA with fully inflated cuff and in 200 patients the standard method was used as a control group. The patients’ ages ranged between 15 and 45 y, and they were scheduled to undergo short surgical procedures and to require general anesthesia. Results: Three hundred and ninety-seven (397) participants were enrolled in this study with a mean age of 35.7 ± 14 y. Of those, 154 (38.8%) were males. The new method showed higher sensitivity and accuracy rate (97.4%, 95.9%, respectively) compared to the standard method. Conclusion: The new method is a suitable technique that enhanced the ease of LMA insertion and successfully placed the device within a shorter time without complications compared to the standard method of insertion.
PR ] 2 5 O ct 2 02 1 A sufficient condition for the quasipotential to be the rate function of the invariant measure of countable-state mean-field interacting particle systems

This paper considers the family of invariant measures of Markovian mean-field interacting particle systems on a countably infinite state space and studies its large deviation asymptotics. The Freidlin-Wentzell quasipotential is the usual candidate rate function for the sequence of invariant measures indexed by the number of particles. The paper provides two counterexamples where the quasipotential is not the rate function. The quasipotential arises from finite horizon considerations. However there are certain barriers that cannot be surmounted easily in any finite time horizon, but these barriers can be crossed in the stationary regime. Consequently, the quasipotential is infinite at some points where the rate function is finite. After highlighting this phenomenon, the paper studies some sufficient conditions on a class of interacting particle systems under which one can continue to assert that the Freidlin-Wentzell quasipotential is indeed the rate function. MSC 2020 subject classifications: Primary 60F10; Secondary 60K35, 82C22, 60J74, 90B15
INVOLUNTARY CREATION OF SOCIAL OCCURRENCE STORYBOARD FROM PICTURE CLICK-THROUGH INFORMATION

: — Traditional websites were motivated by human-edited events which lead to huge web search traffic. This project conducted for identifying the a variety of event detection methods which are useful for event mining. Moreover this paper also suggests an involuntary system to detect events from search log data and produce storyboards where the events are approved along a timeline. Image search log is treated as a good data reserve for event mining, as search logs directly reflects people’s interests. In order to discover events from log data, an approach known as Smooth Nonnegative Matrix Factorization framework (SNMF) is used. Moreover, time factor is considered as an important part for event detection as different events develop at different time. In addition, to provide a visually attractive storyboard, each event is mapped with a set of related images arranged along a timeline. These related images are involuntarily generated from image search results by analyzing both local and global image content.
Boosting with Multiple Sources

We study the problem of learning accurate ensemble predictors, in particular boosting, in the presence of multiple source domains. We show that the standard convex combination ensembles in general cannot succeed in this scenario and adopt instead a domain-weighted combination. We introduce and analyze a new boosting algorithm, M ULTI B OOST , for this scenario and show that it beneﬁts from favorable theoretical guarantees. We also report the results of several experiments with our algorithm demonstrating that it outperforms natural baselines on multi-source text-based, image-based and tabular data. We further present an extension of our algorithm to the federated learning scenario and report favorable experimental results for that setting as well. Additionally, we describe in detail an extension of our algorithm to the multi-class setting, MCM ULTI B OOST , for which we also report experimental results.
Comparative study of status of women employees in select private & public sector enterprises (banking) in Lucknow district

To avoid discrimination, management policies for growth and development should be performance-based rather than gender-based. It is worth noting that one in every five of India's major banks, asset management firms, and insurance companies is led by a woman. In contrast, no women are in positions of leadership in major European, American, or Wall Street investment banks. According to statistics, India has more working women than any other country in the world. The reason for choosing this topic, specifically focusing on women employees in private sector banks, is that it is believed that the condition of women employees in a public-sector bank is far superior to that of women employees in a private sector bank. As a result, a culture of cutthroat competition exists in private sector banks, and job security is not guaranteed, which in turn instils feelings of gender discrimination in employees. Although it is evident that, aside from competition and job security, women employees face a variety of issues as a result of a lack of effective rules and punishment provisions in the organisation. This study looks at how women in the public and private banking sectors in Uttar Pradesh (Lucknow) are gaining a competitive advantage in the marketplace by implementing work/life initiatives.
Reveal the “Face” of the Impartiality in the Indonesian Criminal Justice System: Challenges and Development

An impartial legal process is one of the characteristics of a rule of law. Likewise, Indonesia, in criminal justice at its downstream is played by judges as the core apparatus of judicial power, the principle of freedom and impartiality of judges in examining, hearing and deciding cases. The research is a normative legal research using statute, case, comparative and conceptual approaches. Data were analyzed with descriptive qualitative analysis with content analysis. The results show that the essence of the principle of impartiality in the criminal justice system is closely related to the implementation of the function of judicial power. Fair trials are a most basic safeguard to ensure that individuals are not punished unfairly. However, research shows that the application of the principle of impartiality in the practice of law enforcement that is currently just in a number of cases is still colored by the practice of wrongful arrests which lead to wrong arrests and wrong sentences (error in personal).
Visualizing the Run Time Execution of Command Patterns

Hein Lab (Chemistry Lab) at University of British Columbia (UBC) is carrying out different chemical experiments using robot arms and other modules for assistance to automate these experiments where manual labor is involved. The Hein Lab automated solubility experiment setup is shown in Figure 1 where a lab computer running python scripts that sends commands to the Robot Arm and other modules such as MT Quantos (Solid Dosing), Tecan Cavro (Liquid Dosing) and IKA Magnetic Stirrer (Stirring/ Heating) connected to it to carry out different experiments.
Implications for the Design of Tutorial Systems for Teaching Program Comprehension: An Empirical User Study

Bridson, Kathryn M.S. Implications for the Design of Tutorial Systems for Teaching Program Comprehension: An Empirical User Study. Major Professor: Dr. Scott D. Fleming This paper reports the results of an observational user study of a tutorial system for learning to comprehend Java programs. The study involved 9 undergraduate college students enrolled in introductory programming courses. For the study, we built a new system, Coding Companion, with a design generally representative of prior educational systems for learning program comprehension, but that incorporates several novel design decisions for addressing information overload and split-attention effect. Key findings include the following. Participant feedback and usage data suggest that the system was generally helpful for learning and that the lesson interface was engaging and not overly confusing. All nine participants were strongly positive about quizzes provided by the system, and many found answer explanations helpful, even when they had answered the question correctly. Participant comments revealed a tension between information overload caused by long, complex program traces and the importance of completely explaining the traces, especially for beginners.
FULL RATE STBC DESIGN IN FADDED MIMO OFDM: A Review

: High power amplifiers (HPAs) are among essential parts of any wireless communication systems and HPA’s nonlinearity results in constellation warping, spectrum re-growth and nonlinear inter-symbol interference (ISI), Multiple-input multiple-output (MIMO) systems, in general, when operating with nonlinear HPAs further incur nonlinear inter-channel interference (ICI). MIMO-STBC is an appropriate solution which provides the better compensation of spectrum re-growth, constellation warping, ISI and ICI. But available MIMO-STBC are not working at full rate hence proposed work will use Space Frequency Block division, SFBC provide better orthogonality instead of STBC.
Biomechanical strategies to reduce subsidence in Posterior Lumbar Interbody Fusion procedures

Posterior approaches remain among the most used to perform lumbar interbody fusion (LIF) surgery. It happens because of the advantage of providing direct access to the neural elements in the lumbar spine and the surgeons' preference for the approach. But the interbody fusion devices (IFD) inserted using posterior approaches are of limited size, and implant subsidence remains the most common complication after LIF surgery. It can be catastrophic for the patient resulting in worse outcomes or even requiring revision surgery. Since increasing the cage's size is not possible in PLIF surgeries, this thesis will explore biomechanical strategies to increase the load distribution across the IFD and reduce the risk of subsidence. It will be done using patient-specific devices, matching the bony endplate anatomy, manufactured through rapid prototyping and exploring the role of the bone graft housed inside the cage to increase load sharing.
DBATES: Dataset for Discerning Benefits of Audio, Textual, and Facial Expression Features in Competitive Debate Speeches

In this article, we present a database of multimodal communication features extracted from debate speeches in the 2019 North American Universities Debate Championships (NAUDC). Feature sets were extracted from the visual (facial expression, gaze, and head pose), audio (PRAAT), and textual (word sentiment and linguistic category) modalities of raw video recordings of competitive collegiate debaters (N=716 6-minute recordings from 140 unique debaters). Each speech has an associated competition debate score (range: 67-96) from experienced judges as well as competitor demographic and per-round reflection surveys. We observe the fully multimodal model performs best in comparison to models trained on various compositions of individual modalities. We also find that the weights of some features (such as the expression of joy and the use of the word ”we”) change in direction between the aforementioned models. We use these results to highlight the value of a multimodal dataset for studying competitive, collegiate debate.
Non-reciprocal transceivers in OFDM/SDMA systems: impact and mitigation

Channel reciprocity is needed in SDMA or MIMO downlink pre-filtering when the channel knowledge is acquired in the uplink. We first show analytically that the non-reciprocity of the base station analog hardware, which is part of the channel, introduces a very high level of multi-user interference and quantify the effect of the non-reciprocity by means of simulations. We then propose a novel calibration technique at the base station that enables to compensate for the non-reciprocity and reduce the MUI to a negligible value while having a low implementation cost.
International Journal of Electrical and Computer Engineering (IJECE)

Received Mar 14, 2021 Revised Nov 25, 2021 Accepted Dec 5, 2021 Automatic text summarization has gained immense popularity in research. Previously, several methods have been explored for obtaining effective text summarization outcomes. However, most of the work pertains to the most popular languages spoken in the world. Through this paper, we explore the area of extractive automatic text summarization using deep learning approach and apply it to Konkani language, which is a low-resource language as there are limited resources, such as data, tools, speakers and/or experts in Konkani. In the proposed technique, Facebook’s fastText pre-trained word embeddings are used to get a vector representation for sentences. Thereafter, deep multi-layer perceptron technique is employed, as a supervised binary classification task for auto-generating summaries using the feature vectors. Using pre-trained fastText word embeddings eliminated the requirement of a large training set and reduced training time. The system generated summaries were evaluated against the ‘gold-standard’ human generated summaries with recall-oriented understudy for gisting evaluation (ROUGE) toolkit. The results thus obtained showed that performance of the proposed system matched closely to the performance of the human annotators in generating summaries.
The Role Of Privacy And Security Threats In The Adoption Of A The Role Of Privacy And Security Threats In The Adoption Of A Blockchain Blockchain

: The main focus of the blockchain literature has been on the technical capabilities of the technology in terms of data privacy and security enhancement. Such an approach has disregarded the individual's perception of potential threats in data exchange and the capabilities of a blockchain to eliminate them. To fill this gap this study aims to examine the cognitive factors determining the users’ motivation to utilise blockchains as a means to protect oneself from privacy and security issues. This paper adopts the Protection Motivation Theory, which makes it possible to assess the role of threat and coping appraisal in relation to the adoption of the blockchain. We examined the effect of the factors using a sample of 506 respondents. The findings showed that threat vulnerability, response efficacy, response cost and self-efficacy determine adoption intention. Compared to threat appraisal, coping appraisal has a stronger effect on intention to use. The findings contribute to the understanding of the individual's perspective on blockchain adoption by focusing on cognitive factors. They can inform blockchain developers and marketers about aspects of individuals’ behaviour that should be considered when developing and promoting the technology.
Prices versus Quantities Revisited: The Case of a Transboundary Stock Pollutant∗

We study the relative merits of price versus quantity instruments in a dynamic model with two economies facing a transboundary stock pollutant like CO2. The climate policy debate has emphasized the importance of the relative slopes of marginal damages and abatement costs for ranking taxes versus cap and trade under technological uncertainty. It finds that taxes dominate quotas as the social cost of carbon curve is extremely flat. Our model features persistent cost shocks that generate perfectly correlated shifts of these two curves; these are as important to the ranking as is the slope ratio. Gradual diffusion of innovations generally favors quotas by changing the relatives shifts. A larger size of an economy relative to the other also tend to favor quotas. JEL Classification: Q50, H20, D80.
Survey on Architecture for Network on Chip

— Moore’s law can be applied to Multiprocessor architectures and platforms, and these architectures depend on concurrency and synchronization in both hardware and software that enhances the system performance and design productivity. These platforms are expected to present highly reusable, scalable, predictable, cost and energy-efficient architectures. As we are in Billion transistors era, the main challenges in deep sub-micron technologies which are categorized by gate lengths in the range of 60-90 nm, that leads to errors in signal integrity, non-scalable wire delay and unsynchronized communications. Many of these challenges can be address using the Network on Chip (NoC) Architecture. In this paper, we have summarized over 55 research papers and contributions in NoC domain.
Sharing of Information and Cooperation among University Libraries and their Importance in the Networked World

DOI: 10.12685/027.7-1-2-30 Libraries and information units face daily challenges of making their book collections more visi­ble for use. In addition to visibility, materials should also be easily available, if possible, online. To achieve this goal, catalogues are essential tools for finding the desired information. It is equally important that libra­ries cooperate with each other and share their catalogues among them. In this context, participation of libraries in information networks is a positive alternative. Libraries should not be bound to their local book collection, but they also need to expand it through networks, so that they are able to borrow books or exchange documents with other libraries. University libraries need to create storage of local documents with open access to theses, dissertations, scientific research papers and their institutional memory. Al­though Brazilian university libraries have made significant progress in the provision of services using new information and communication technologies as well as by taking part in cooperative networks, it is neces­sary to see that libraries have reached various stages of development and we still have a long way to go. Bibliotheken setzen sich taglich mit der Frage auseinander, wie sie fur ihre Sammlungen eine hohere Sichtbarkeit erreichen konnen. Zusatzlich sollten ihre Bestande am besten online verfugbar sein. Kataloge sind zur Erreichung dieses Zieles unerlasslich. Dazu mussen Bibliotheken vermehrt kooperieren. In diesem Zusammenhang ist die Bildung von Verbunden eine positive Alternative. Bibliotheken sollten nicht nur auf ihre lokalen Bestande fokussieren, sondern Verbunde bilden um Ausleihen aus anderen Bib­liotheken zu ermoglichen. Universitatsbibliotheken sollten Dissertationen, Abschlussarbeiten, Forschungs­ergebnisse und Dokumente der Institution Open Access zur Verfugung stellen. Obwohl die brasilianischen Universitatsbibliotheken bereits grosse Fortschritte in der Anwendung neuer Informationstechnologien und in der Errichtung von Verbunden erzielt haben, befinden sich noch nicht alle Bibliotheken auf dem glei­chen Entwicklungsstand.
Investigation of Teachers’ Self-Assessment to Create a Positive Classroom Environment

The aim of this study was to examine teachers’ self-assessments of their ability to create a positive classroom environment. The study used a survey method, and the sample was composed of 260 teachers who worked in the province of Tokat in Turkey in the 2017–2018 academic year. Research data were collected through the Class Control Index developed by Howard (1978) and translated into Turkish by Özden (2005). To analyze the data, the researchers used the t-test, one-way analysis of variance, Kruskal-Wallis H and MannWhitney U tests, and Pearson Moments Multiplication Correlation Coefficient. According to the results, teachers have high self-assessments of their ability to create a positive classroom environment. Primary school teachers had higher self-assessment scores than middle and high school teachers. Women’s scores were higher than men’s, classroom teachers had the highest scores, and information technology teachers had the lowest. In addition, there was no significant difference in terms of age, occupational seniority, postgraduate education, type of school (for high school teachers), department from which teachers graduated, or classroom management.
International Journal of Electrical and Computer Engineering (IJECE)

Navaneeth Bhaskar, Priyanka Tupe-Waghmare, Shobha S. Nikam, Rakhi Khedkar Department of CSE (Data Science), Sahyadri College of Engineering and Management, Mangalore, India Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India Department of Electronics and Telecommunication Engineering, AISSMS Institute of Information Technology, Pune, India Department of Electronics and Telecommunication Engineering, Sinhgad Academy of Engineering, Pune, India