Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical value of liquid based cytology test in brushing examination of patients with lung cancer

Objective Liquid based cytology test(LCT) has been applied for cervical cytological diagnosis successfully and widely.However,there are few reports about brush cytological diagnosis at present.The aim of this study is to evaluate the value of LCT in cytological diagnosis of brush examination of patients with lung cancer.Methods Seven hundred and twelve patients received conventional smear test,LCT and bronchial biopsy/operation.The sensitivity,specificity and agreement on histopathologic type of conventional smear test and LCT were analyzed.Results The sensitivity of LCT and conventional smear in diagnosing lung cancer were 70.55% and 61.15% respectively,the specificity were 85.65% and 87% respectively.In histological typing study,especially for adenocarcinoma,the accordance rate was higher by LCT(82.0%) than that by conventional smear test(64.8%)(χ2=7.419,P=0.006). The Kappa values of agreement on histopathologic type were 0.970 and 0.960 respectively.Conclusion LCT is a new technique that is convenient for practicing quality control in preparing smear and staining.It emerges with high sensitivity and credibility in the diagnosis of lung cancer,as well as superior precision in distinguishing general histological types.
Formalization and Verification of Rewriting-Based Security Polices

Term rewriting – an expressive language based on equational logic – can be used to author and analyze policies that are part of an access control system. Maude [25] is a simple, yet powerful, reflective programming language based on term rewriting that models systems along with the subjects, objects and actions within them. We specify the behavior of the system as a theory defined by conditional rewrite rules, and define the access control policy as an equational theory in a separate module. The tools that Maude provides, such as the Maude Model Checker and the Sufficient Completeness Checker, are used to reason about the behavior and verify properties of access control systems in an automated manner.
Communicative Effectiveness of Written Versus Spoken Feedback

How does written and spoken feedback influence communicators' effectiveness in a shared task? Groups of two to four participants engaged in a referential communication task. The director described an array of shapes to the rest of the group via streaming video chat. In each group, one to three matchers attempted to arrange cards depicting those shapes into the director's arrangement. In one condition, matchers could speak to each other and the director through the video chat. In the other condition, matchers could only type contributions into a shared text chat. Spoken feedback dyads successfully arranged more cards than written feedback dyads. However, in groups with more than one matcher, feedback modalities were equally effective. Across group sizes and feedback types, when any matcher contributed more to the discourse, all matchers benefited. Spoken and written feedback groups differed in the amount and types of contributions matchers provided. Spoken feedback groups had more total discourse than written groups. Matchers in written groups made more bare requests for clarification, whereas matchers in spoken groups made more contributions of new information. These differences are explained in terms of constraints on grounding across the modalities.
Pengaruh Kualitas Pelayanan Administrasi Kependudukan Terhadap Kepuasan Masyarakat dii Kecamatan Bayongbong Kabupaten Garut

Penelitian ini berjudul “Pengaruh Kualitas Pelayanan Administrasi Kependudukan Terhadap Kepuasan Masyarakat di Kecamatan Bayongbong Kabupaten Garut”. Tujuan penelitian ini menemukan data dan informasi mengenai besarnya pengaruh kualitas pelayanan administrasi kependudukan terhadap kepuasan masyarakat di Kecamatan Bayongbong Kabupaten Garut. Konsep kualitas pelayanan terdiri dari : Prosedur pelayanan, waktu penyelesaian, produk pelayanan, sarana dan prasarana, kompetensi petugas pemberi pelayanan. Sedangkan untuk mengukur kepuasan masyarakat menggunakan dimensi Transparansi, akuntabilitas, kondisional, partisipatif, kesamaan hak, keseimbangan hak dan kewajiban. Metode yang digunakan dalam penelitian ini adalah metode kausalitas dengan pengumpulan data melalui teknik survey, dimana kuesioner disebarkan pada 100 responden yang mewakili setiap Desa di Kecamatan Bayongbong. Hasil penelitian menunjukan bahwa secara deskriftif kualitas pelayanan administrasi kependudukan di Kecamatan Bayongbong cukup baik dan kepuasan masyarakat termasuk kategori cukup baik. Hasil penelitian juga menunjukan bahwa kualitas pelayanan memiliki pengaruh terhadap kepuasan masyarakat di Kecamatan Bayongbong.
THE ROOTS OF INDIVIDUALITY

RENAL FAILURE IN PARAPLEGIA By C. R. Tribe (with additional material by J. R. Silver) (Pp. ix + 107; illustrated, 70s.) Pitman Medical Publishing: London. 1969. This book is a valuable record of the pathological changes leading to renal failure in paraplegic patients. It is mainly for pathologists but there is a section on diagnostic tests for urinary tract disease in chronic paraplegics by the Director of the Liverpool Regional Paraplegic Centre. Both writers were formerly at the National Spinal Injury Centre, Stoke Mandeville Hospital, and write with authority on their subjects, drawing their material from both units. The type of presentation-a statistical review with comments on unique cases-makes for difficult reading and tends to be repetitive. This book will be a valuable source of reference for many who look after paraplegics in one way or another, but the general neurologist will find it worth glancing over the chapter summaries for a reminder that the most important late cause of death in paraplegia, of whatever cause, is urinary infection with its many complications. Dr. Tribe has made valuable contributions to the study of amyloidosis leading to a nephrotic syndrome in paraplegics. The many causes of hypertension in the paraplegic are discussed briefly. The book is not concerned with special techniques of radiology, treatment of renal failure or infection, or with the management of the paraplegic bladder; all subjects which should be better understood in neurological and neurosurgical denartments.
Equitable Clustering algorithm for Wireless Sensor Networks based on the Spectral Classification

Wireless sensor network (WSN) consists of low-cost, low power and energy-constrained sensors where the objective is to monitor a physical phenomenon and report the data to a sink node. The key challenge in the design and operation of WSNs is the maximization of system lifetime by saving the energy consumption. The network clustering is considered as one of the most promising techniques largely used for dealing with the given challenge. In this paper we use the spectral clustering methods to propose the Equitable Clustering algorithm for Wireless Sensor Networks based on the Spectral Classification (ECA-WSN-SC). This protocol uses the graph theory techniques and the spectral clustering to separate the network in a fixed optimal number of clusters where each called cluster head collects data and communicates the information to the base station. Defining the optimal number of clusters and enlarging the network lifetime are the strongest characteristics of the ECA-WSN-SC protocol. Simulation results show that the proposed algorithm increases the lifetime of a whole network and presents more energy efficiency distribution compared to the Low-Energy Adaptive Clustering Hierarchy (LEACH) and the Centralized LEACH (LEACH-C) one.
Automated Drusen Detection Technique for Age-Related Macular Degeneration

Age-related macular degeneration is one of the leading cause of vision loss and blindness among people of age 50 and higher. Macular degeneration is usually characterized by drusen. Drusens are accumulation of lipids, fatty proteins that appears as abnormal white-yellow deposits on the retina. Detection of these lesions using conventional image analysis methods is quite complicated and time taking mainly due to non-uniform illumination and the variability of the pigmentation of the background tissues. This paper presents an automated technique for segmentation and quantitative analysis of drusen in publicly available retinal images i.e. Structured Analysis of retina (STARE) and Automated Retinal Image Analysis (ARIA), acquired with the aid of a digital fundus camera. The present methodology emphasizes on quantitative analysis of drusen based on: First, region-based statistical analysis which corrects the non-uniform illumination of background, enhances local intensity, minimizes image noise, segment image through Otsu’s threshold in addition with morphological operation and hence compute area and edge of the detected drusen. Second, pixel-wise feature extraction which extracts the feature of overlapped components through weighted centroid and standard deviation, makes counting of number of drusen easy. Hence, this system can provide vital information about the quantity of drusen and can aid clinicians in their diagnosis to evaluate the stage of age-related macular degeneration.
Bone edge detection in hand radiographic images

A method for bone segmentation in hand radiographic images using an intensity based edge detection scheme is presented. Bone segmentation is an intermediate level processing stage for an automated vision system for skeletal assessment of children. An inherent problem with hand radiographic images is the uneven contrast that is manifested by an increasing intensity gradient from the distal phalanges to the carpal region. The intensity based edge detection approach exploits knowledge of boundary region intensities to remove extraneous edges and maintain bone edges. This approach has been tested on hand X-ray images from various age groups and results have shown a marked improvement in bone segmentation. <<ETX>>
Theoretical proposal of steps for the implementation of the Industry 4.0 concept

Goal: The purpose of this paper is to present a proposal of steps for the implementation of Industry 4.0 in the industrial context, considering management and operational aspects. The reason is to discuss that technological change is accompanied by many organizational implications, in which it is perceivable that some companies already experience strategic and operational turbulence due to the lack of understanding of the this structure’s complexity. Design / Methodology / Approach: This study assumes an exploratory character because the subject of analysis is still in the knowledge-structuring phase. In this sense, data was collected from the literature review. Results: A theoretical proposal for the Industry 4.0 implementation framework is presented in flow format. It is organized in steps that cover the strategic and operational aspects during the implementation flow. Limitations of the investigation: The limitations of this study are directly related to its theoretical nature and the difficulty of finding tools that help in the execution of each proposed stage. Practical implications: However, based on theoretical insights, a trajectory of a transformation model is proposed, thus this research intends to show clearly and direct how companies can introduce the aspects of Industry 4.0 to their own benefit. Originality / Value: In this study, a conceptual model is structured, and it indicates a potential of application because it contributes to support and encourage the adoption of technologies and concepts indicated in the Industry 4.0 literature in a structured way.
Macula densa derived nitric oxide and kidney function.

The kidney is the major organ regulating the extracellular fluid volume and thereby the arterial blood pressure. The neuronal isoform of nitric oxide synthase (nNOS) in the kidney is predominantly located in the macula densa cells. These cells are sensors for both renin release and the tubuloglomerular feedback mechanism (TGF), which is an important regulator of the glomerular filtration rate and afferent arteriole tone. The aim of this investigation was to elucidate the function of nNOS in the macula densa cells.Acute nNOS inhibition in rats resulted in an increased TGF responsiveness and unchanged blood pressure while, after chronic inhibition, the TGF was normalised and the blood pressure was elevated. The plasma renin concentration was elevated in rats on long-term low salt diet, but was not significantly affected by chronic nNOS inhibition. On the other hand, nNOS inhibition for four days increased plasma renin concentration in rats treated with a low salt diet. The renal vasculature of rats exhibits a diminished renal blood flow and intracellular Ca2+ response to angiotensin II after one week blockade of nNOS while angiotensin II’s effect on the renal blood flow was abolished after four weeks treatment. Acute extracellular volume expansion diminish the TGF sensitivity thus assisting the elimination of excess fluid but after acute addition of nNOS inhibitor to volume expanded rats the TGF sensitivity restored.In conclusion, the results from the present study suggest an important role for nNOS in the macula densa cells in the regulation of the arterial blood pressure and the modulation of the TGF response.
Two-path model of information sharing in new product development activities

To explore the mechanism of information sharing in new product development activities, 180 participants from 60 teams were invited to attend a simulation experiment. The results showed that unique information and common information are indispensable in new product development activities, and both of them have significant impact on team decision-making, but unique information is more significant than common information. At the same time, they were found to function in team decision-making through team cognition. That is, transactive memory systems played a mediating role in the relationship between unique information sharing and team decision-making, and shared mental models played a mediating role in the relationship between common information sharing and team decision-making. The experiment also showed that the relationship between unique information sharing and transactive memory systems was strengthened, while the relationship between common information sharing and shared mental models did not change significantly in the context of team psychological safety. By revealing the mechanism of information sharing, this experiment provided a useful reference for improving the efficiency and quality of team decision-making in new product development activities.
Inventing Mischievous Intrusions In Social Media Nets

There are lots of malicious applications disbursing on Face book each day. Inside the recent occasions, online hackers have considered recognition inside the third-party application platform furthermore to deployment of malicious applications. Applications that present appropriate approach to online hackers to spread malicious content on Face book however, little is famous concerning popular features of malicious applications and the way they function. Goal to build up a comprehensive application evaluator of face book the initial tool that attracts on recognition of malicious applications on Face book. To build up rigorous application evaluator of face book we utilize information that's collected by means of observation of posting conduct of Face book apps which are seen across numerous face book users. This is often frequently possibly initial comprehensive study that has focused on malicious Face book applications that focus on quantifying furthermore to understanding of malicious applications creating this data into an effectual recognition method. For structuring of rigorous application evaluator of face book, we utilize data inside the security application within Face book that examines profiles of Face book users.
PREVALENCE OF DEPRESSION IN PARTURIENTS REFERRING UNIVERSITY HOSPITALS IN TEHRAN IN 1999

Background: Mood disorders are of utmost importance during pregnancy, thus the present study was conducted to determine the prevalence of depression in parturients referring university hospitals in Tehran in 1999. Materials and Methods: It was a cross sectional study. Parturients aged 15-49 years were included. Our exclusion criteria were history of psychiatric disorders, drug usage, chronic disease, infectious disease and pregnancy-induced complications. Demographic data including age, level of education, occupation, economic status, gestational age, gravidity, abortion, preterm delivery, family size, infertility, history of PMS, social support and unpleasant happens were all recorded. Beck test was used to determine the depression and its severity, Pikayl test was used for determination of unpleasant happen and Wienfiled and Tiggemann had assessed social support. Beck score of 0-15 was considered as normal, however, higher than that was considered as depression. Results: Of 580 parturients, 45.7% were depressed. Depression has shown significant association with level of education (P Conclusion: Depression is frequent during pregnancy, thus screening tests are highly recommended.
Real-time extraction method of road boundary based on three-dimensional lidar

The problem of road boundary extraction in the structured road environment where there are discontinuities, occlusions and dynamic vehicles is critical to autonomous driving, but a solution to this problem has remained elusive. In this paper, a new straight-line method for real-time extraction of road boundary is proposed. Three-dimensional (3D) lidar is used to recognize road boundary with random sampling consensus algorithm (RANSAC) and certain filters. First of all, the boundary point cloud data are extracted with the method by calculating curvature change and height difference for each laser layer, then RANSAC algorithm is used to fit the extracted boundary points, then get the straight-line equation of the road edge. Finally, the Amplitude-Limiting filter and the Kalman filter are applied synthetically to the obtained boundary equation, remove unreasonable line equation and smooth the boundary line jitter. The real vehicle test proves that this algorithm can accurately and robustly perceive the curb boundary under a variety of road conditions mentioned above. The operation time of the on-board industrial computer is 26.7ms which fully meets the real-time requirements of unmanned vehicle.
Thoraco-Reticulocentesis and Ultrasonographic Diagnosis of Diaphragmatic Hernia-A Study of Two Cows

Two cows in last trimester of pregnancy were presented with anorexia, recurrent abdominal distension, passing scanty dung for last five days. Clinical examination revealed tympany and increased rumen motility. Ultrasonographic examination of thorax and abdomen revealed presence of hyperechogenic wall of reticulum nearer to heart and reticular motility was evident between 4th and 5th intercostal spaces. Contrast radiography revealed herniated reticulum into the thoracic cavity. Thoracoreticulocentesis examination of aspirated contents enabled confirmation of diaphragmatic hernia.
Bayesian Nonparametric Data Analysis

The usual Bayesian is based on the knowledge of the distribution of the parameters. Hence thinking in non parametric methods in the Bayes context seems to be a contradiction for newcomers. Nevertheless, nonparametric Bayesian statistics provides of useful data analysis tool. This oeuvre provides a look from the data analysis perspective and does not use much of the contents in discussing probability models and properties. The first chapter is an introduction and the next two are concerned with the density function estimates usage. The fourth one with regression. Are devoted to deal with particular problems, where Bayesian theory is a mill stone: Categorical Data, Survival Analysis, Hierarchical Models, Clustering and Feature Allocation. Finally, a discussion on other problems is the theme of the last chapter. This book is recommended to persons dealing with non-classic statistic in different application areas. C.N. Bouza Universidad de La Habana
Active Learning based on Research for Linear Optimization Course at Department of Mathematics, Univeristas Padjadjaran

Linear Optimization (LO) course is one of the important courses in Industrial Mathematics (IM) and Operations Research (OR) field of applied mathematics. As the curricula now change into a competency based curricula, thus the instructional objective, course content, and approaches of teaching have to be improved. We refer to Cochran (2009) in evaluating our pedagogy in teaching Linear Optimization. At Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran Indonesia, especially for LO course, we plan to implement a student center learning using an active learning based on research for the coming academic year 2014/2015. Moazeni (2012) mentioned that, based on Liebman (1998), there are ten activities to promote active learning when teaching undergraduate OR courses, i.e., taxonomies, similarities and differences, forms and functions, advantages and disadvantages, type 1 frames, type 2 frames, concept mapping, metaphor and analogy, rehearsal, and advance organizer for instructor activity. These ten activities can be applied both in individual student activities in the classroom or group activities, in which case it is called as collaborative active learning. This collaborative active learning is recommended by Lasdon and Liebman (1998) to teach nonlinear programming. In this paper, we discuss how we adopt these ten activities in our teaching activity for the Linear Optimization course in our department. We also present how we introduce the students some results of our research on linear optimization application, i.e., in forestry tactical planning problem and vaccination strategy problem as real life example of the course applications.
Consent management on the Ethereum Blockchain

Exchanging personal information for access to a service has become an integral part of everyday life. Surprisingly often, we do not even realize that this exchange is taking place. When accepting the terms of service agreement of a company, it is often unclear what is happening to (personal) data. Unknowingly, users had out blank cheques to companies, allowing them to control and resell the their data. The General Data Protection Regulation (GDPR), which became enforceable in May 2018, is a first step towards putting users back in control of their personal data. With these new regulations, the existing solutions for consent management are not feasible any more for a data marketplace as well as for most consent scenarios. Utilizing the Design Science Research (DSR) methodology, this master thesis aims to create a prototype of a consent management system on the Ethereum Blockchain. With this prototype, we envision a data marketplace scenario which enables users to control their data.