Miracle-dz/UniFAR-FTUs huggingface dataset:
The World Health Organization/International Society of Urological Pathology consensus classification of urothelial (transitional cell) neoplasms of the urinary bladder

In October 1997, Dr. F.K. Mostofi assembled a group of individuals interested in bladder neoplasia at a meeting in Washington DC. The participants included urologic pathologists, urologists, urologic oncologists, and basic scientists with an interest in bladder neoplasia. The purpose of this meeting was to discuss bladder terminology and make recommendations to the World Health Organization (WHO) Committee on urothelial tumors. Following this meeting, a group of the urologic pathologists who attended the Washington meeting decided to broaden the representation of the group and arranged a meeting primarily of the members of the International Society of Urologic Pathologists (ISUP) at the 1998 United States and Canadian Academy of Pathology Meeting held in Boston. Massachusetts. At this meeting. issues regarding terminology of bladder lesions, primarily neoplastic and putative preneoplastic lesions, were discussed, resulting in a consensus statement. The WHO/ ISUP consensus classification arises from this consensus conference committee's recommendations to the WHO planning committee and their agreement with virtually all of the proposals presented herein. 29 The effort involved in reaching such a consensus was often considerable. Many of those involved in this process have compromised to arrive at a consensus. The aim was to develop a universally acceptable classification system for bladder neoplasia that could be used effectively by pathologists, urologists, and oncologists.
Invertible Convolutional Networks

Recently, substantial work has been invested into developing neural network architectures that are invertible. In this work we relax some of the restrictions of past work and show how convolutional layers can be used directly. We show that standard convolutional layers of a neural network can be inverted exactly using the Fourier transform and we provide a method for computing tractable log determinants of this transformation using only matrix routines over real numbers. With the addition of bijective activation functions and downsampling, ordinary (non-residual) convolutional networks can be made invertible with minimal degradation of performance for the original classification task. We then apply these techniques to define a simple normalizing flow.
OVERVIEW ON DRAG REDUCTION TECHNOLOGIES FOR CIVIL TRANSPORT AIRCRAFT

Drag reduction is one of the main objectives of the transport aircraft manufacturers. The drag breakdown of a transport aircraft at cruise shows that the skin friction drag and the lift-induced drag constitute the two main sources of drag, approximately one half and one third of the total drag. Hybrid laminar flow technology and innovative wing tip devices offer the greatest potential for drag reduction. Aircraft performance improvement in off-design conditions can also be obtained through trailing edge optimisation, control of the shock boundary layer interaction and of the boundary layer separation. The paper will give an overview of the results obtained for the different mentioned topics and will try to evaluate the potential gains offered by the different technologies.
Menstrual Disorders among Students – an Overview

In adolescence serious gynaecological pathology is rare, but menstrual disturbances are common and may add further disruption for them and their families. Menstrual disorders are one of the major problems faced by women all around the world and are generally perceived as minor health concerns. There are many types of menstrual disorders such as oligomenorrhea, hypomenorrhea, menorrhagia, metrorrhagia, dysmenorrhea, pre-menstrual syndrome (PMS), amenorrhea and polymenorrhea. Several studies have been performed to determine the prevalence and the pattern of menstrual disorders among students in various countries and also to understand the knowledge and awareness towards menstrual disorders among the student population. Among all menstrual disorders, dysmenorrhea is the most common, being reported among students, which is characterized by recurrent, crampy abdominal pain, headache, nausea, vomiting, diarrhea, and back pain. This being the major cause leads to activity restriction and absenteeism from school or university, for which few of the adolescents consult physician or may adopt self-medication with over-the-counter medicines or home remedies. Studies have been reported that menstrual cycle abnormalities may also be associated with psychological stress, strenuous physical exercise, low body weight and endocrine disturbance. This review compiled the studies on menstrual disorders and discussed the associated problems in university and school students.
Performance Pay and Productivity in Health Care: Evidence from Community Health Centers

Nearly half of high earning workers receive performance pay as part of their compensation, but we know strikingly little about the incentive effects of piece rate compensation on high-skilled workers. In this paper, we examine changes in medical providers' output in response to a piece rate compensation scheme. We use data from a Federally Qualified Health Center that changed from a salary-based plan to one that rewarded providers for seeing more patients on a monthly basis. Two key facts guide our empirical approach. First, the timing of the switch from salary to piece rates varied at the individual level depending on the provider's hire date, which allows us to control for other changes over time in patient demand for services. Second, most providers worked under both compensation schemes, which allows us to make within-person comparisons. We further address incomplete compliance by using providers' expected monthly compensation plan status as an instrument for their actual status. We find that providers working under the piece rate scheme see roughly 18 percent more patients monthly. Only a small portion of this difference is due to within-provider changes in output, and we find no evidence that the incentive scheme causes providers to become more productive. Instead, most of this difference derives from compositional changes in the workforce, likely due to increased retention of more productive providers.
Comparing the Main Approaches of Image Segmentation

Images are important medium for conveying information; this makes improvement of image processing techniques also important. Interpretation of image content is one of the objectives of image processing techniques. Image interpretation that segments the image to number of objects called image segmentation. Image segmentation is an important field to deal with the contents of images and get non overlapping regions coherent in texture and color, it is important to deal only with objects with significant information. This paper presents survey of the most commonly used approaches of image segmentation and the results of those approaches have been compared and according to the measurement of quality presented in this paper the Otsu's threshold method give the best result with less time.
Edge Computing: Applications, State-of-the-Art and Challenges

The Internet of Things (IoT) is now infiltrating into our daily lives, providing important measurement and collection tools to inform us of every decision. Millions of sensors and devices continue to generate data and exchange important information through complex networks that support machine-to-machine communication and monitor and control critical smart world infrastructure. As a strategy to alleviate resource congestion escalation, edge computing has become a new paradigm for addressing the needs of the Internet of Things and localization computing. Compared to well-known cloud computing, edge computing migrates data calculations or storage to the edge of the network near the end-user. Thus, multiple compute nodes distributed across the network can offload computational pressure from a centralized data center and can significantly reduce latency in message exchanges. Besides, the distributed architecture balances network traffic and avoids spikes in traffic in the IoT network, reduces latency between edge/cloud servers and end-users, and reduces response time for real-time IoT applications compared to traditional cloud services. In this article, we conducted a comprehensive survey to analyze how edge computing can improve the performance of IoT networks. We classify edge calculations into different groups based on the architecture and study their performance by comparing network latency, bandwidth usage, power consumption, and overhead. Through the systematic introduction of the concept of edge computing, typical application scenarios, research status, and key technologies, it is considered that the development of edge computing is still in the initial stage. There are still many problems in practical applications that need to be solved, including optimizing edge computing performance, security, interoperability, and intelligent edge operations management services.
Database Processing-in-Memory: An Experimental Study

The rapid growth of "big-data" intensified the problem of data movement when processing data analytics: Large amounts of data need to move through the memory up to the CPU before any computation takes place. To tackle this costly problem, Processing-in-Memory (PIM) inverts the traditional data processing by pushing computation to memory with an impact on performance and energy efficiency. In this paper, we present an experimental study on processing database SIMD operators in PIM compared to current x86 processor (i.e., using AVX512 instructions). We discuss the execution time gap between those architectures. However, this is the first experimental study, in the database community, to discuss the trade-offs of execution time and energy consumption between PIM and x86 in the main query execution systems: materialized, vectorized, and pipelined. We also discuss the results of a hybrid query scheduling when interleaving the execution of the SIMD operators between PIM and x86 processing hardware. In our results, the hybrid query plan reduced the execution time by 45%. It also drastically reduced energy consumption by more than 2x compared to hardware-specific query plans.
Structural Injustice and Individual Responsibility

One often hears about structural injustice. The term is used to indicate, roughly, how entrenched inequalities of status, power, and resources can conspire to create unjust conditions without individuals being either aware of or morally responsible for the injustice. But it is obscure what, more precisely, the term refers to, and what the relationship is between structural injustice and individual responsibility. In this essay, I first identify a series of distinctions that will help us to make sense of the variety of meanings associated with the term. I then defend an account of the conditions under which individuals can be held to account for how they contribute to and reproduce structural injustice. If I am right, then we are individually responsible for a much wider variety of structural injustice than we might have otherwise thought.
NavCog3: Large-Scale Blind Indoor Navigation Assistant with Semantic Features in the Wild

DAISUKE SATO, IBM Research Tokyo, Japan URAN OH, Carnegie Mellon University, USA JOÃO GUERREIRO, Carnegie Mellon University, USA DRAGAN AHMETOVIC, Carnegie Mellon University, USA KAKUYA NAITO, Shimizu Corporation, Japan HIRONOBU TAKAGI, IBM Research Tokyo, Japan KRIS M. KITANI, Carnegie Mellon University, USA CHIEKO ASAKAWA, IBM Research, Carnegie Mellon University, USA NavCog3 is a smartphone turn-by-turn navigation assistant, specifically designed to enable independent navigation for individuals with visual impairments in unfamiliar environments. Using off-the-shelf Bluetooth beacons installed in the surroundings, and a commodity smartphone carried by the user, NavCog3 achieves unparalleled localization accuracy in real-world large-scale scenarios. Leveraging its accurate localization capabilities, NavCog3 guides the user through the environment and signals the presence of semantic features and points of interest in the vicinity (e.g., doorways, shops, etc.). To assess the capability of NavCog3 to promote independent mobility of individuals with visual impairments, we deployed and evaluated the system in two challenging real-world scenarios. The first scenario demonstrates the scalability of the system, which was permanently installed in a five-story shopping mall, spanning three buildings and a public underground area. During the study, 10 participants traversed three fixed routes, and 43 participants navigated free choice routes across the environment. The second scenario validates the system usability in the wild, in a hotel complex temporarily instrumented with NavCog3 during a conference for individuals with visual impairments. Almost 14.2 hours of system usage data were collected from 37 unique users who performed 280 travels across the environment, for a total of 30,200 meters traversed. CCS Concepts: • Human-centered computing → Accessibility technologies; • Social and professional topics → People with disabilities; • Information systems→ Location based services; Additional
Effective Financing of Environmentally Adjusted Multifactor Productivity Growth in Sustainable Development Framework – An International Comparative Study

Sustainability in innovation activities financing is undoubtedly one of the important requirements that determine the business environment in all developed countries of the world. Different countries apply different innovation models or policies, ways to support or finance their entrepreneurial innovation activities respectively. They significantly shape or cultivate an innovative environment in which different relationships and linkages between actors take place. Therefore, it is necessary to analyze individual determinants, their sustainability, and their efficiency in view of the expected outcomes – environmentally adjusted multifactor productivity growth. We used data from the OECD statistics 2009-2013 for all developed countries in the world. We used DEA (data envelopment analysis) and super-efficiency-DEA method for our international comparative study. Our results show that the developed countries use the combination of private and public financial sources in different way. These are countries that can be perceived as a benchmark - it is therefore possible to compare even partial values of indicators and define public policies for support of selected entrepreneurs. The DEA software also allows you to obtain a numerical benchmark of inputs and outputs for every country. Our finding contributes to the theoretical debate on innovation and eco-innovation models in framework of sustainable development. The results of the analysis confirm the importance of financial sources, human resources and sustainable public sector interventions that influence the environmentally adjusted productivity growth. Keywords: environmentally adjusted productivity growth, sustainable development, financing, OECD
Smartphone sensors based indoor localization using deep neural networks

This research presents the use of deep learning based ensemble classiﬁer to perform indoor localization with heterogeneous devices. Features extracted from magnetic data of Galaxy S8 are fed into neural networks (NNs) for training. The experiments are performed with S8 and G6 smartphones to ﬁnd out the impact of device dependence on localization accuracy. Results demonstrate that NNs can play a potential role for precise indoor localization. The proposed approach is able to achieve a localization accuracy of 2.5 m at 50% on two diﬀerent devices. Mean error for S8 and G6 is 2.61 m and 2.95 m, respectively.
Local Intra-arterial Fibrinolysis in Treatment of Incomplete Ophthalmic Artery Occlusion — A Case Report

Ophthalmic artery occlusion usually causes severe permanent visual loss, and conservative treatments generally have poor prognoses in most cases. We present a patient with incomplete ophthalmic artery occlusion, who achieved significant visual improvement after receiving local intraarterial fibrinolysis (LIF) in the ophthalmic artery after a delay of two weeks. LIP is one of the treatments to salvage vision in patients with incomplete ophthalmic artery occlusion if no contraindications for thrombolysis exist.
Understanding what child protection data mean: a national comparison

Australia does not have one unified system, but rather eight different child protection systems. This paper provides a national snapshot of Australian statutory child protection services. Topics covered include: who is responsible for child protection; intake procedures; who notifies concerns to child protection services; the process of providing child protection services in Australian states and territories (intake, risk assessment and investigation). Similarities and differences across states and territories in each of these areas are highlighted. The implications for policy makers in the areas of data collection, competency standards and training, cross-border issues, and the importance of national standards are addressed.
TEXT LINGUISTICS AND NARRATOLOGY

In search of a deeper understanding of elements underlying the formal organization of literary narratives and their impact on the textual meaning, the paper aims at correlating text linguistics to narratology. Based on the assumption that the literary narrative relies on the binary opposition of story vs. discourse , the paper seeks to elucidate how each of the seven standards of textuality, advanced by Robert de Beaugrande and Wolfgang U. Dressler, are actualized in literary texts by means of particular narratological concepts, such as fictional communicative situation, text architectonics, narrative perspective, the truth of the text world, implicitness, presentational modes etc. The revealed mutual dependence of the constitutive properties of literary texts on elements of textual content leads to a fine-grained linguistic analysis and interpretation of diverse aspects of textual organization and reception with a view to uncovering the overall meaning of the text. LINGVISTICA TEXTULUI ŞI NARATOLOGIA Fiind in căutarea unei inţelegeri mai profunde a elementelor ce stau la baza organizării formale a textelor narative literare si a impactului acestora asupra sensului textului, lucrarea de faţă are drept scop corelarea lingvisticii textului cu naratologia. Pornind de la premisa conform căreia textul narativ literar este fundamentat in baza dihotomiei istorie vs. discurs, ne propunem să elucidăm modul in care fiecare dintre cele sapte standarde ale textualităţii propuse de către Robert de Beaugrande si Wolfgang U. Dressler se actualizează in textul literar prin anumite concepte naratologice, precum cadrul comunicativ al discursului ficțional, arhitectonica textului, perspectiva narativă, veridicitatea lumii textuale, implicitul, moduri narative etc. Stabilirea interdependenţelor existente intre proprietăţile constituente ale textelor literare si elementele narative contribuie la o analiză lingvistică si interpretare mult mai detaliată a diverselor aspecte ale orga­nizării si receptării textuale menite să releve sensul general al textului.
What can be Achieved with an Interprofessional Class

Introduction Recently, educators advocated for interprofessional education to better prepare entry-level healthcare workers for efficient, effective, and respectful teamwork to lower the cost of healthcare and improve the delivery of collaborative quality patient care. This article describes the results of an educational program evaluation of an interprofessional class (IPC) taught over a five-year period between nursing and occupational therapy (OT) departments at a small private university. Methods During the IPC sessions, a small group of nursing and OT students observed a simulated patient care scenario in which a nursing and an OT student provided care related to their respective discipline. Faculty-guided group discussions and post-debriefing deepened students’ learning. Results Data collected from the IPC post-session evaluation forms revealed immediate improvement in knowledge of overlapping and distinct roles of the two disciplines, and a deeper appreciation of ways to respectfully communicate with patients and healthcare workers to reduce duplication of efforts and facilitate continuity in patient care. Received: 12/21/2018 Accepted: 08/20/2019 © 2019 Li & Catolico. This open access article is distributed under a Creative Commons Attribution License, which allows unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. HIP E & What Can Be Achieved With An Interprofessional Class? EDUCATIONAL STRATEGY 3(4):eP1176 | 2 HIP E &
Journal of WSCG, Vol.27, No.1-2, Cummulative edition

The triplet loss function has seen extensive use within person re-identification. Most works focus on either improving the mining algorithm or adding new terms to the loss function itself. Our work instead concentrates on two other core components of the triplet loss that have been under-researched. First, we improve the standard Euclidean distance with dynamic weights, which are selected based on the standard deviation of features across the batch. Second, we exploit channel attention via a squeeze and excitation unit in the backbone model to emphasise important features throughout all layers of the model. This ensures that the output feature vector is a better representation of the image, and is also more suitable to use within our dynamically weighted Euclidean distance function. We demonstrate that our alterations provide significant performance improvement across popular reidentification data sets, including almost 10% mAP improvement on the CUHK03 data set. The proposed model attains results competitive with many state-of-the-art person re-identification models.
Leaders’ Role in Recruitment Procedures and Effectiveness of Office Workers in Educational Institutions in Rivers State Igweka Ugochi V. Department of Educational Mgt (Leadership Option)

The study delved into Leaders’ Role in Recruitment Procedures effectiveness of Office Workers in Educational Institutions in Rivers State. The study covered Ignatius Ajuru University of Education and Captain Elechi Amadi Polyechnic, Rumuola, Port Harcourt. The instrument used in carrying out the study was questionnaire. A total of 100 questionnaires were distributed 100 staff of the two educational institutions in Rivers State but only 80 were duly returned. The Study based its analysis on the returned 80 questionnaires. Three research questions and three hypotheses were raised upon which 15 variables were generated in the research questionnaire to obtain responses from the respondents. The statistical of Chi-square was used to analyse the hypothesis, using the SPSS Version 23. The research questions were also tested using SPSS Version 23 using Mean and Standard Deviation. The testing of Ho2 and 3 showed significant, thereby annulling the raised null hypotheses, while it did not in Ho1. Based on the findings, recommendations were reached encouraging to allow for suitable recruitment procedures to be adopted in recruiting staff in order to achieve the set goals of the institutions.