Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Disease Detection and Monitoring System in Plants Using K-Means Algorithm

Agriculture is the main sources of all countries throughout the world. Many plants are easily affected to diseases due to changes in various factors such as soil moisture, varying climatic conditions, nutrients, temperature etc. Automatic plant disease detection and monitoring system using k-means algorithm helps to monitor the plant diseases through moisture values of the soil. It helps to reduce water use. The system is developed with threshold values of soil moisture sensor that is programmed into a microcontroller based gateway to control water quantity. It involves two processes such as disease detection and monitoring the soil. At first stage, wireless camera is used to capture the plant image and processed using image processing by Matlab software. Here the leaf images of paddy crops are already trained by artificial neural network by k-means algorithm. At second stage, soil moisture sensor values are compared with threshold values which are given to microcontroller. Depending upon the results of microcontroller, motor is pumped ON/OFF which is driven by driver circuit and relay. If the plant is infected to diseases, the information about the diseases is sent to the authorised person through GSM module. This system helps to increases the crop yield by identifying and classifying the diseases before it affects the entire field. Development of this system leads to high productivity.
Implementation of a Hardware-centric Vision System Architecture

Currently, most implementations of vision systems still heavily rely on software - computer algorithms run on general purpose microprocessors, like on personal computers. This is understandable since personal computers (PC) are readily available, and software implementations provide flexibility, especially when trying out various algorithms. The need to have real-time vision-based systems influenced developers and researchers towards hardware-based - or at least hardware-assisted - vision systems that are capable of processing huge amount of data from an imaging device in realtime (i.e. embedded vision system). Platforms like DSPs, GPUs and FPGAs are among the commonly used development platforms for a hardware-centric vision system, while ASIC implementations - tagged with a huge development cost - usually have the best performance. This paper compares various possible platforms that are readily available and can be used to develop hardware-centric vision systems. This includes DSPs, GPUs and FPGAs, with some insights on ASIC implementation. Consequently, two implementations of the proposed hardwarecentric vision system architecture are presented. Both implementations managed to process incoming image stream from camera module at 30 frames per second.
A low power transponder IC for high performance identification systems

A novel integrated circuit for a battery-less transponder system is presented. Battery-less transponders require contactless transmission of both the information and power between a mobile data carrier and a stationary or handheld reader unit. The operating principle of this system gives a superior performance in reading distance due to separation of the powering and data transmission phases. This paper describes the function of the transponder IC and the circuit design techniques used for the various building blocks. <<ETX>>
Rapid Progression of Diabetic Glomerulosclerosis with Crescents to End-stage Renal Disease in Newly Diagnosed Type 2 Diabetes

46 Copyrightc 2016 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: 2015. 5. 12 Revised: 2015. 6. 11 Accepted: 2015. 7. 31
Tolerant V-Detector algorithm

V-Detector algorithm is an example of negative selection algorithm, proposed to distinguish between self and nonself samples, represented as real-valued vectors. It is used mainly for detecting anomalies in high dimensional datasets. For this purpose, the set of detectors is generated, usually in random way, base only on information about normal behaviour. The main problem with this algorithm is scalability and high computational complexity. This paper presents a new approach for building the detectors, inspired by idea from the tolerance rough sets. With this algorithm it is possible to detect an outliers as well as those samples which are very similar to both classes and their correct classification requires additional verification. Partially, it also solves the scalability problem as detectors has a higher discrimination power in comparing to its basic version.
Transdermal Evaporation Drug Delivery System: Concept to Commercial Products

Since two decades or so transdermal route established itself as better alternative to traditional oral route. This is possible due to continuous innovations in transdermal drug delivery (TDD), which not only enables researchers from academia and industry to successfully develop and launch many new pharmaceuticals but also allow to include new classes of drugs that can be developed into transdermal formulations. These successes are achieved due to the use of novel techniques based on either physical or chemical approaches. However, both of these techniques suffer due to their own disadvantages. Comparatively, a simple method of supersaturation to enhance drug permeation across skin has created a new wave of interest. Even though the application supersaturated principle in topical and TDD has been used from 1960s, but proper control of drug release and formation of stable supersaturated states has been the core of intense research in the last decade. Out of various methods used to get supersaturated system, evaporation method is considered as most efficient and practically feasible for TDD. Therefore, in this review concept of supersaturation, selection of solvent system and the mechanism of inhibition of crystallization are discussed. Application of evaporation systems in the development of transdermal formulations such as solutions, semisolids and metered dose therapeutic systems (MDTS) and the commercial evaporative systems are also discussed in this review.
A survey of augmented reality" Presence: Teleoperators and virtual environments

Azuma,T.R, 1997. A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments. Fahriza, Muhammad. 2012. Merancang dan Membangun Aplikasi "Game Zero Velocity" Menggunakan Unity 3D. Yogyakarta, Indonesia: Sekolah Tinggi Managemen Informatika dan Komputer. Fathoni, Mochammad. 2012. Alat Musik Perkusi Augmented Reality Berbasis Android. Malang, Indonesia: Universitas Muhammadiyah Malang. Mixed Reality : http://www.oamk. fi/hankkeet/mixedreality/. (Diakses 15 April 2015). Nugraha, Iwan Setya. 2014. Pemanfaatan Augmented Reality Untuk Pembelajaran Pengenalan Alat Musik Piano. Semarang, Indonesia: Universitas Diponegoro. Pratama, Muhammad Arisandy. 2014. Penerapan Augmented Reality Pada Perancangan Aplikasi Taganing Batak Berbasis Andoid. Medan, Indonesia: Universitas Sumatera Utara. Putra, P.R. A. , 2012. Penerapan Augmented Reality Pada Permainan Ludo. Yogyakarta, Indonesia: Sekolah Tinggi Managemen Informatika dan Komputer AMIKOM. Rahmat, Berki. 2011. Analisis dan Perancangan Sistem Pengenalan Bangun Ruang Menggunakan Augmented Reality. Medan, Indonesia: Universitas Sumatera Utara. Rimahirdani, Farissa dan Eviyanti, Ade. 2012. Aplikasi Augmented Reality Pengenalan Alat Musik Gamelan Jawa. Sidoarjo, Indonesia: Universitas Muhammadiyah Sidoarjo. Rizki, Yoze. 2011. Markerless Augmented Reality pada Perangkat Android. Surabaya, Indonesia: Institut Teknologi Sepuluh November. R. Silva, Oliveira and Giraldi. 2003. Introdeuction to Augmented Reality. National Laboratory for Scientific Computation. Sood, Raghav. 2012. Pro Android Augmented Reality: New York. Suryadi, Agus dan Prasetyo, Candra A. 2012. Pembuatan Game 3D My Fantasy. Yogyakarta, Indonesia: Sekolah Tinggi Managemen Informatika dan Komputer. Wiley, John and Sons Ltd, 2011. Professional Augmented Reality Browser for Smartphones: Programming for junaio, Layar and Wikitude: United Kingdom.
Clinical Study of Dermatologic Disorders in Patients with Breast Cancer

Background: In Korea, breast cancer is the most common cancer in female and its incidence is increasing recently. Moreover, breast cancer is the most common cutaneous metastasis in female. However, dermatologic disorders manifested in patients with breast cancer have not been investigated yet. Objectives: Our purpose was to study the clinical characteristics of dermatologic disorders in patients with breast cancer. Methods: A clinical observation and review of medical records were made by analyzing 359 cases of breast cancer who visited Our Lady of Mercy hospital from 1994 to 2003. Among them, 91 cases of the patients with breast cancer showed dermatologic disorders. Their photographs of cutaneous findings and histologic specimens were reviewed by more than 2 dermatologists. Results & conclusions: 1. The mean age at the diagnosis of breast cancer was 48.7411. 28 years old. 2. The stages of patients with breast cancer were as follows: stage 0 (4 cases), stage 1 (48 cases), stage 2 (196 cases), stage 3 (94 cases), stage 4 (2 cases), and others (15 cases). 3. The treatments of patients with breast cancer were as follows: surgery (358 cases), radiation therapy (115 cases), chemotherapy (256 cases), combination of chemotherapy and radiation therapy (82 cases), and others (9 cases). 4. The numbers of patients developing cutaneous infections among the patients with breast cancer were as follows: bacterial infection (18 cases), fungal infection (18 cases), and viral infection (14 cases). 5. The numbers of patients developing pruritus and eczema among the patients with breast cancer were as follows: contact dermatitis (7 cases), seborrheic dermatitis (3 cases), neurodermatitis (2 cases), and others (9 cases). 6. The numbers of patients developing treatment-associated dermatologic disorders among the patients with breast cancer were as follows: urticaria (11 cases), radiodermatitis (8 cases), drug eruption (6 cases), and lymphedema (1 case). 7. The number of patients developing skin metastasis among the patients with breast cancer was 10 cases. 8. The numbers of patients developing other dermatologic disorders among the patients with breast cancer were as follows: psoriasis (4 cases), erythema multiforme (2 cases), and others (16 cases). 9. The numbers of patients developing postoperative dermatologic complications were as follows: seroma (28 cases), arm swelling and lymphedema (9 cases), wound infection (6 cases), and others (5 cases).
Human Factors Problems in Interactive Voice Response (IVR) Applications: Do we Need a Guideline/Standard?

The purpose of this paper is to present a case for the development of a user interface design guideline or standard for interactive voice response applications, to be widely disseminated throughout business and industry. A number of sample problems are cited, based on the author's consulting experience in this area, which serve to demonstrate that many of the problems encountered in IVR application development, particularly in scripting/dialogue design and use of automated speech recognition as a front-end, are not only solvable, but easily avoidable, given the current human factors knowledge base. The paper also discusses the Specification Document developed by the Voice Messaging User Interface Forum (1990, April), and the reasons why it cannot be applied, as written, to the user interface design of more complex IVR applications. Finally, the author proposes an approach to developing the proposed guideline/standard.
Column decoder using PTL for memory

Nowadays memory forms an important and necessary part of every system. In order to make the system more compact and faster, optimization of memory in terms of area, power and speed is to be made. In this paper column decoder has been implemented to minimize the power and area. The memory architecture is simulated using Laker-ADP schematic tool. The number of sense amplifiers required for MxN memory is reduced in ratio 4:1.
Variability-aware circuit performance optimisation through digital reconfiguration

This thesis proposes optimisation methods for improving the performance of circuits implemented on a custom reconfigurable hardware platform with knowledge of intrinsic variations, through the use of digital reconfiguration. With the continuing trend of transistor shrinking, stochastic variations become first order effects, posing a significant challenge for device reliability. Traditional device models tend to be too conservative, as the margins are greatly increased to account for these variations. Variation-aware optimisation methods are then required to reduce the performance spread caused by these substrate variations. The Programmable Analogue and Digital Array (PAnDA) is a reconfigurable hardware platform which combines the traditional architecture of a Field Programmable Gate Array (FPGA) with the concept of configurable transistor widths, and is used in this thesis as a platform on which variability-aware circuits can be implemented. A model of the PAnDA architecture is designed to allow for rapid prototyping of devices, making the study of the effects of intrinsic variability on circuit performance – which requires expensive statistical simulations – feasible. This is achieved by means of importing statistically-enhanced transistor performance data from RandomSPICE simulations into a model of the PAnDA architecture implemented in hardware. Digital reconfiguration is then used to explore the hardware resources available for performance optimisation. A bio-inspired optimisation algorithm is used to explore the large solution space more efficiently. Results from test circuits suggest that variation-aware optimisation can provide a significant reduction in the spread of the distribution of performance across various instances of circuits, as well as an increase in performance for each. Even if transistor geometry flexibility is not available, as is the case of traditional architectures, it is still possible to make use of the substrate variations to reduce spread and increase performance by means of function relocation.
18 F-FDG PET/MRI with DWI: one-stop shop for paediatric sarcomas

Poster: "ECR 2018 / C-1129 / 18F-FDG PET/MRI with DWI: one-stop shop for paediatric sarcomas" by: "G. Orsatti1, A. Varotto1, F. Crimi1, P. Zucchetta1, M. Weber2, D. Cecchin1, R. Stramare1, C. Giraudo1; 1Padova/IT, 2Vienna/AT"
Estructura financiera de la empresa y valoración de activos en el mercado bursatil español

espanolEl objetivo del presente estudio consiste en analizar la implicacion del endeudamiento y la insolvencia como fuentes adicionales de riesgo sistematico en el proceso de valoracion de activos del mercado bursatil espanol durante los anos 1995-2010 empleando para ello dos metodologias alternativas basadas en los trabajos de Ferguson y Shockley (2003) y Vassalou y Xing (2004). Los resultados obtenidos nos indican que existen mejoras sustanciales en el ajuste de modelos tradicionales como el modelo de mercado o el modelo de Fama y French (1993) cuando incorporamos dichas fuentes de riesgo sistematico tanto en el analisis de serie temporal como de seccion cruzada. Por ultimo, los analisis condicionales nos indican que existe un signifi cativo premio por riesgo de apalancamiento a lo largo de todo el periodo temporal, pero que tan solo existe un signifi cativo premio por riesgo asociado a la insolvencia en epocas de recesion y tendencia bajista del mercado. EnglishThe aim of this research is to analyze the implications of leverage and default as additional sources of systematic risk in the asset pricing process for the Spanish stock market over the years 1995-2010 employing two alternative methodologies based on Ferguson y Shockley (2003) y Vassalou y Xing (2004) respectively. Our results indicate that models which incorporate fi nancial risks perform better than the traditional market model or the Fama and French (1993) model, both in time-series analyses and cross-sectionally. Finally, we observe that the market prices the leverage risk over the all sample while the default risk is only priced in recession and bear markets.
Addressing health workforce shortages and maldistribution in Afghanistan.

Background Afghanistan has the second lowest health workforce density and the highest level of rural residing population in the Eastern Mediterranean Region. Ongoing insecurity, cultural, socio-economic and regulatory barriers have also contributed to gender and geographic imbalances. Afghanistan has introduced a number of interventions to tackle its health worker shortage and maldistribution. Aims This review provides an overview of interventions introduced to address the critical shortage and maldistribution of health workers in rural and remote Afghanistan. Methods A review of literature (including published peer-reviewed, grey literature, and national and international technical reports and documents) was conducted. Results The attraction and retention of health workforce in rural and remote areas require using a bundle of interventions to overcome these complex multidimensional challenges. Afghanistan expanded training institutions in remote provinces and introduced new cadres of community-based health practitioners. Targeted recruitment and deployment to rural areas, financial incentives and family support were other cited approaches. These interventions have increased the availability of health workers in rural areas, resulting in improved service delivery and health outcomes. Despite these efforts, challenges still persist including: limited female health worker mobility, retention of volunteer community-based health workforce, competition from the private sector and challenges of expanding scopes of practice of new cadres. Conclusions Afghanistan made notable progress but must continue its efforts in addressing its critical health worker shortage and maldistribution through the production, deployment and retention of a "fit-for-purpose" gender-balanced, rural workforce with adequate skill mix. Limited literature inhibits evaluating progress and further studies are needed.
Voting Median Base Algorithm for Measurement Approximation of Wireless Sensor Network Performance

The success of Wireless Sensor Network application monitoring relies on the accuracy and reliability of its nodes operation. Unfortunately, operation deviations of these nodes appear as regular occurrences not isolated events as in traditional networks. This is due to their special characteristics that reduce network manufacturing and deployment costs and maintain the nodes immunity against internal and external conditions. The goal of this chapter is to propose a real-time, distributed, passive, and low resources usage performance-monitoring algorithm that monitors Wireless Sensor Network functionality and isolates the detected deviated nodes from norm operation. Simulation and empirical experiments showed that the proposed algorithm has a slight processing and storage overhead. It is important to mention that these experiments showed that the proposed algorithm has a high reliability in tracking and isolating network nodes problems.
Learning Analytics: Issues on the Pupil-Teacher Ratio in Public Primary Schools in Nigeria

Pupil-teacher ratio (PTR) is one of the key measurements of quality education. This article presents the pupil-teacher ratio for 133 public primary schools in a local government area (LGA) of Ogun State, Nigeria. The data were obtained from a complete enumeration of the records of each school. It was discovered that the average PTR obtained from the data analysis is higher than the national average. Using PTR equals 35 as a benchmark of Nigeria, only 25 (19%) schools out of the 133 schools considered have an acceptable PTR (below 35), 52 (39%) schools have a moderate PTR (between 35 and 50) and 56 (42%) schools have unacceptable and high PTR (above 50). This article shows that there is high pupil-teacher ratio in the country’s public primary schools. This research will be helpful in the following; educational evaluation and assessment, audit and quality assurance, decision makers in the Ministry of Education in gap analysis for recruitment purposes, assessing the level of implementation of policies on education and monitoring of the progress made in attaining development sustainable goals (SDG) as it relates to access to quality education.
Orthopaedic patients’ perceptions abouttheir pre-operative information

A non-experimental, descriptive and quantitative survey was conducted to explore orthopaedic patients’ perceptions about the pre-operative information received when undergoing elective surgery in two hospitals in the KwaZulu-Natal Province. The findings indicate that most patients perceived the pre-operative information to be useful in their preparation for surgery. Aspects that were not addressed during preoperative information sessions included post-operative nutrition, pain medication, ambulation, deep breathing and coughing exercises. The recommendations include that all these aspects should be addressed in future pre-operative education sessions. Further research should be conducted for enhancing the pre-operative information provided to patients scheduled to undergo elective orthopaedic surgery.
Information Leakage by Trace Analysis in QUAIL

Quantitative security techniques have been proven effective to measure the security of systems against various types of attackers. However, such tech-niques are based on computing exponentially large channel matrices or Markov chains, making them impractical for large programs. We propose a different ap-proach based on abstract trace analysis. By analyzing directly sets of execution traces of the program and computing security measures on the results, we are able to scale down the exponential cost of the problem. Also, we are able to appy statistical simulation techniques, allowing us to obtain significant results even without exploring the full space of traces. We have implemented the resulting algorithms in the QUAIL tool. We compare their effectiveness against the state of the art LeakWatch tool on two case studies: privacy of user consumption in smart grid systems and anonymity of voters in different voting schemes.
Disentangling ethnicity, socioeconomic status and parenting: Interactions, influences and meaning

Abstract Internationally and domestically there has been increased attention given to the influence of ethnic, cultural, economic and contextual factors as they influence parenting, family dynamics and children's developmental and mental health outcomes. Increased globalization and migration has heightened concerns about assuring that developmental theories and evidence-based programs and practices are sensitive to variations in parental beliefs, practices and their impact on child outcomes. This article integrates theories and worldviews that undergird research-focused understanding the role of ethnicity, culture and context on family dynamics and children's developmental outcomes. In addition, limitations in research designs for highlighting the interactive influences of ethnicity, socioeconomic status and community context on families are discussed in light of research designs that are heuristic in disentangling these factors for the purposes of developing culturally sensitive and appropriate theories, programs, policies and practices to benefit children and families.