nils-herrmann/clean_scirepeval huggingface dataset:
Application of artificial intelligence models for the prediction of standardized precipitation evapotranspiration index (SPEI) at Langat River Basin, Malaysia
Venue: Comput. Electron. Agric.
Year: 2018

Drought forecasting is a vital for mitigating the impact of drought events on the economy, tourism, agriculture and water resource systems. This paper adopts the proposed Wavelet ARIMA ANN (WAANN) model and the latest Wavelet Adaptive Neuro Fuzzy Inference System (WANFIS) model to predict the Standardized Precipitation Evapotranspiration Index (SPEI) at the Langat River Basin for different time scales (1 month, 3 months and 6 months) Model input data pre processing with wavelet decomposition for improving the performance of the models was carried out apriori. The historical SPEI from 1976 to 2007 were used in the WAANN and WANFIS models for predicting the SPEI for the test period from 2008 to 2015. The Adjusted Coefficient of Determination (R2adj) Root Mean Square Error (RMSE) Mean Absolute Error (MAE) Willmott's Index of Agreement (d) and the Nash Sutcliffe Coefficient of Efficiency (E) were used to assess the models. It was found that the prediction accuracy of the two models improved with time scale length. For the prediction of SPEI 1 (1 month) the errors associated with both models were considered relatively high. Based on the performance measures and graphical plots, the WAANN model is better for the prediction of SPEI 3 and SPEI 6. The WANFIS model had satisfactory prediction of the mid term drought forecasting for all stations. The WAANN model developed in this study however, gives better accuracy for both, the short term and mid term drought forecasting.
Research and Application of Power Lines Data Acquisition and Inspection System Based On GIS and Wireless Network Technology
Year: 2009

In order to satisfy the intuitive and real time demand of power lines patrol and inspection, it applies the Geographic Information Systems (GIS),hand set and wireless network in the power lines patrol and inspection. It proposes a power lines patrol and inspection system framework, describes a power lines distribution map quick generation method and a hand set based patrol and inspection process, and finally realizes the system based on the framework. Application shows that the system can improve the power lines patrol and inspection in a satisfied way.
On the so called "Political Theology" of Eusebius of Caesarea
Year: 2009

*In Roman historyas well as in the historyof the earlychurch, the relation between Constantine the Great and Eusebius of Caesarea has always been a subject of much dispute, and in this context not onlythe politician emperor has been painted black, which is rather normal (people think that politicians are always to be blamed) but also the bishop scholar has been called "publicist of Constantine" or "court theologian" and so forth. The reason for these denigratorytitles is clear: it is a fairlycommon assumption that in his works Eusebius published, not simplya panegy ric of the emperor, but rather an ideological propaganda which some scholars tend to call "political theology " But did Eusebius reallypropagate any"political theology" The purpose of this paper is to deal with this problem.
Global inference for sentence compression an integer linear programming approach
Venue: J. Artif. Intell. Res.
Year: 2008

Sentence compression holds promise for many applications ranging from summarization to subtitle generation. Our work views sentence compression as an optimization problem and uses integer linear programming (ILP) to infer globally optimal compressions in the presence of linguistically motivated constraints. We show how previous formulations of sentence compression can be recast as ILPs and extend these models with novel global constraints. Experimental results on written and spoken texts demonstrate improvements over state of the art models.
Fe3O4 and metal organic framework MIL 101(Fe) composites catalyze luminol chemiluminescence for sensitively sensing hydrogen peroxide and glucose.
Year: 2018

In this work, Fe3O4 and metal organic framework MIL 101(Fe) composites (Fe3O4/MIL 101(Fe) was demonstrated to possess excellent catalytic property to directly catalyze luminol chemiluminescence without extra oxidants. We utilized Fe3O4/MIL 101(Fe) to develop a ultra sensitive quantitative analytical method for H2O2 and glucose. The possible mechanism of the chemiluminescence reaction had been investigated. Under optimal conditions, the relative chemiluminescence intensity was linearly proportional to the logarithm of H2O2 concentration in the range of 5 150 nM with a limit of detection of 3.7 nM (signal to noise ratio 3) and glucose could be linearly detected in the range from 5 to 100 nM and the detection limit was 4.9 nM (signal to noise ratio 3) Furthermore, the present approach was successfully applied to quantitative determination of H2O2 in medical disinfectant and glucose in human serum samples.
A review of clustering techniques and developments
Venue: Neurocomputing
Year: 2017

This paper presents a comprehensive study on clustering: exiting methods and developments made at various times. Clustering is defined as an unsupervised learning where the objects are grouped on the basis of some similarity inherent among them. There are different methods for clustering the objects such as hierarchical, partitional, grid, density based and model based. The approaches used in these methods are discussed with their respective states of art and applicability. The measures of similarity as well as the evaluation criteria, which are the central components of clustering, are also presented in the paper. The applications of clustering in some fields like image segmentation, object and character recognition and data mining are highlighted.
Trends in U.S. Emergency Department Visits Related to Suspected or Confirmed Child Abuse and Neglect Among Children and Adolescents Aged <18 Years Before and During the COVID 19 Pandemic United States, January 2019 September 2020
Venue: MMWR. Morbidity and mortality weekly report
Year: 2020

Heightened stress, school closures, loss of income, and social isolation resulting from the coronavirus disease 2019 (COVID 19) pandemic have increased the risk for child abuse and neglect (1) Using National Syndromic Surveillance Program (NSSP) data from January 6, 2019 September 6, 2020, CDC tabulated weekly numbers of emergency department (ED) visits related to child abuse and neglect and calculated the proportions of such visits per 100,000 ED visits, as well as the percentage of suspected or confirmed ED visits related to child abuse and neglect ending in hospitalization, overall and stratified by age group (0 4, 5 11, and 12 17 years) The total number of ED visits related to child abuse and neglect began decreasing below the corresponding 2019 period during week 11 (March 15 March 22, 2020) for all age groups examined, coinciding with the declaration of a national emergency on March 13 (2) simultaneously, the proportion of these visits per 100,000 ED visits began increasing above the 2019 baseline for all age groups. Despite decreases in the weekly number of ED visits related to child abuse and neglect, the weekly number of these visits resulting in hospitalization remained stable in 2020; however, the yearly percentage of ED visits related to child abuse and neglect resulting in hospitalization increased significantly among all age groups. Although the increased proportion of ED visits related to child abuse and neglect might be associated with a decrease in the overall number of ED visits, these findings also suggest that health care seeking patterns have shifted during the pandemic. Hospitalizations for child abuse and neglect did not decrease in 2020, suggesting that injury severity did not decrease during the pandemic, despite decreased ED visits. Child abuse is preventable; implementation of strategies including strengthening household economic supports and creating family friendly work policies can reduce stress during difficult times and increase children's opportunities to thrive in safe, stable, and nurturing relationships and environments (3)
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
Venue: SDM
Year: 2020

Within basket recommendation reduces the exploration time of users, where the user's intention of the basket matters. The intent of a shopping basket can be retrieved from both user item collaborative filtering signals and multi item correlations. By defining a basket entity to represent the basket intent, we can model this problem as a basket item link prediction task in the User Basket Item~(UBI) graph. Previous work solves the problem by leveraging user item interactions and item item interactions simultaneously. However, collectivity and heterogeneity characteristics are hardly investigated before. Collectivity defines the semantics of each node which should be aggregated from both directly and indirectly connected neighbors. Heterogeneity comes from multi type interactions as well as multi type nodes in the UBI graph. To this end, we propose a new framework named \textbf{BasConv} which is based on the graph convolutional neural network. Our BasConv model has three types of aggregators specifically designed for three types of nodes. They collectively learn node embeddings from both neighborhood and high order context. Additionally, the interactive layers in the aggregators can distinguish different types of interactions. Extensive experiments on two real world datasets prove the effectiveness of BasConv. Our code is available online at this https URL.
Analysis of All Optical XNOR Gate in SOA Based Tree Net Architecture
Venue: 2020 IEEE VLSI DEVICE CIRCUIT AND SYSTEM (VLSI DCS)
Year: 2020

In this communication, we are going to design a new all optical SOA based XNOR gate using tree architecture implementing the cross polarization modulation (XPolM) effect in semiconductor optical amplifier (SOA) We get some good values related to quality factor (Q~62 dB) and some other performance related parameters associated with a very high speed ~100Gbit/s) of operation.
A cross sectional study among defaulters of DOTS under RNTCP in tuberculosis units of Solapur city
Venue: International Journal Of Community Medicine And Public Health
Year: 2019

Tuberculosis (TB) is a specific infectious disease caused by mycobacterium tuberculosis affecting pulmonary and extra pulmonary organs. Default is one of the unfavorable outcomes for patients on DOTS and represents an important challenge for the control programme. Inadequate treatment adherence is considered as a potential cause of drug resistance. This study was conducted ascertain causes of defaults to study socio demographic corelates of defaulters. A cross sectional study was conducted from 1st January 2014 to 31st December 2014. All default patients registered from 1st January 2014 to 31st December 2014 under RNTCP in both Tuberculosis Units of Municipal Corporation are considered for this study. Total 104 cases of defaulters were registered under RNTCP in both TB units; 83 (79.8% defaulters were males and remaining 21 (21.2% were females and difference was statistically significant. Side effects of DOTS drugs were the most common reason of defaulting the treatment. Default of DOTS was significantly associated with socioeconomic status, educational status, addiction, religion and marital status of the patients. Poverty has effect on illness and completion of treatment.
Teori Belajar Menurut Aliran Psikologi Gestalt Serta Implikasinya Dalam Proses Pembelajaran
Year: 2015

Psikologi Gestalt merupakan salah satu aliran psikologi yang mempelajari suatu gejala sebagai suatu keseluruhan atau totalitas, data data dalam psikologi Gestalt disebut sebagai Fenomena (gejala) Prinsip Dasar Gestalt yaitu;a) Interaksi antara individu dan lingkungan disebut sebagai perceptual field. Setiap perceptual field memiliki organisasi, yang cenderung dipersepsikan oleh manusia sebagai figure and ground. Oleh karena itu kemampuan persepsi ini merupakan fungsi bawaan manusia, bukan skill yang dipelajari. Pengorganisasian ini mempengaruhi makna yang dibentuk, dan b) Prinsip prinsip pengorganisasian meliputi: 1) Principle of Proximity, Principle of Similarit, 2) Principle of Objective Set Principle of Continuity, 3) Principle of Closure/ Principle of Good Form dan 4) Principle of Figure and Ground Hukum Hukum Belajar Gestalt meliputi; a) Hukum keterdekatan, b) Hukum ketertutupan, c) Hukum kesamaan, dan d) Hukum kontinuitas. Aplikasi teori gestalt dalam Dunia Pendidikan; 1) Belajar dapat dilakukan dengan cara: a) Belajar dimulai dari suatu keseluruhan, b) Keseluruhan memberikan makna kepada bagian bagian, c) Individuasi bagian bagian dari keseluruhan, d) Anak belajar dengan menggunakan pemahaman atau insight. 2) Insight timbul melalui; a) Kesanggupan, b) Pengalaman, c) Taraf kompleksitas dari suatu situasi, d) Latihan, dan e) Trial and Error.
Image caption generation with high level image features
Venue: Pattern Recognit. Lett.
Year: 2019

Recently, caption generation has raised a huge interests in images and videos. However, it is challenging for the models to select proper subjects in a complex background and generate desired captions in high level vision tasks. Inspired by recent works, we propose a novel image captioning model based on high level image features. We combine low level information, such as image quality, with high level features, such as motion classification and face recognition to detect attention regions of an image. We demonstrate that our attention model produces good performance in experiments on MSCOCO, Flickr 30K, PASCL and SBU datasets.
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
Venue: Big Data Res.
Year: 2018

Recently, we have been witnessing huge advancements in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to exploit modern technologies to process, analyze and understand this data. The intersection of these trends is what is called, nowadays, as Big Data Science. Cloud computing represents a practical and cost effective solution for supporting Big Data storage, processing and for sophisticated analytics applications. We analyze in details the building blocks of the software stack for supporting big data science as a commodity service for data scientists. We provide various insights about the latest ongoing developments and open challenges in this domain.
Deep Fusion Network for Image Completion
Venue: ACM Multimedia
Year: 2019

Deep image completion usually fails to harmonically blend the restored image into existing content, especially in the boundary area. This paper handles this problem from a new perspective of creating a smooth transition and proposes a concise Deep Fusion Network (DFNet) Firstly, a fusion block is introduced to generate a flexible alpha composition map for combining known and unknown regions. The fusion block not only provides a smooth fusion between restored and existing content but also provides an attention map to make network focus more on the unknown pixels. In this way, it builds a bridge for structural and texture information, so that information can be naturally propagated from the known region into completion. Furthermore, fusion blocks are embedded into several decoder layers of the network. Accompanied by the adjustable loss constraints on each layer, more accurate structure information is achieved. We qualitatively and quantitatively compare our method with other state of the art methods on Places2 and CelebA datasets. The results show the superior performance of DFNet, especially in the aspects of harmonious texture transition, texture detail and semantic structural consistency.
UNDERSTANDING THE PRACTICE OF ETHICAL LEADERSHIP AMONG SCHOOL PRINCIPALS: EVIDENCE FROM MALAYSIA
Year: 2020

Ethical leadership is a type of value based leadership that greatly aids in balancing the principal's role as a manager and leader in schools. Studies have shown the impact of practicing ethical leadership towards building trust, positive workplace behaviour, increasing innovative workplace mindset and organisational performance. The emerging leadership style has found strong roots in the international platforms but not in Malaysian local school leadership 3 secondary school principals were selected for this study based on the ethical leadership level as perceived by their teachers from a previous study by the researcher. which shows that principals have high to moderately high level of ethical leadership practice in schools. This case study caters the findings on the understanding and practises of ethical leadership style among the principals as perceived by the principals themselves. The study also explores the seven dimensions of ethical leadership as being practised amongst principals. A semi structured interview was conducted to collect relevant data. The interview is transcribed and analysed thematically The principals revealed that they lacked an understanding of ethical leadership style but practised several dimensions of ethical leadership in their daily school administration tasks. The findings suggest that ethical leadership has ample room to be integrated into current school leadership practises and develop an understanding of its impact on improving teacher work performance.
From Denoising to Compressed Sensing
Venue: IEEE Transactions on Information Theory
Year: 2016

A denoising algorithm seeks to remove noise, errors, or perturbations from a signal. Extensive research has been devoted to this arena over the last several decades, and as a result, todays denoisers can effectively remove large amounts of additive white Gaussian noise. A compressed sensing (CS) reconstruction algorithm seeks to recover a structured signal acquired using a small number of randomized measurements. Typical CS reconstruction algorithms can be cast as iteratively estimating a signal from a perturbed observation. This paper answers a natural question: How can one effectively employ a generic denoiser in a CS reconstruction algorithm? In response, we develop an extension of the approximate message passing (AMP) framework, called denoising based AMP (D AMP) that can integrate a wide class of denoisers within its iterations. We demonstrate that, when used with a high performance denoiser for natural images, D AMP offers the state of the art CS recovery performance while operating tens of times faster than competing methods. We explain the exceptional performance of D AMP by analyzing some of its theoretical features. A key element in D AMP is the use of an appropriate Onsager correction term in its iterations, which coerces the signal perturbation at each iteration to be very close to the white Gaussian noise that denoisers are typically designed to remove.
FROM THE READINg ROOM Putting Integration on the Agenda
Year: 2019

Moving Toward Integration, the Past and Future of Fair Housing, by Richard H. Sander, Yana A. Kucheva, and Jonathan M. Zasloff1 (we refer hereinafter to the book as "SKZ" begins with a powerful indictment of the harm that racial residential segregation continues to inflict. It asserts that housing segregation is the "giant answer" to the question of why on social and economic measures such as school achievement, income, wealth, homicide rates, and out of wedlock births, African American outcomes lag those of whites.2 We would add other measures as well: for example, shorter African American life expectancies and higher rates of cardiovascular disease that arise, in part, from life in more polluted and stressful neighborhoods; the black white wealth gap, one of the most powerful contributors to social and economic racial inequality, attributable in significant part to the exclusion of African American homeowners from neighborhoods where housing equity appreciation far exceeded inflation; and even our dangerous political polarization, which largely tracks racial lines.
Novel pharmacological therapies for irritable bowel syndrome
Venue: Expert review of gastroenterology hepatology
Year: 2016

Irritable bowel syndrome (IBS) is a prevalent functional gastrointestinal disorder, which represents a major cost to healthcare services. Current pharmacological treatment includes fibre supplements, antispasmodics, laxatives, loperamide and antidepressants. This article reviews the novel pharmacological treatments already or recently approved for patients with IBS C (lubiprostone, linaclotide) and IBS D (alosetron, ramosetron, rifaximin, eluxadoline) Furthermore, results for drugs in development (plecanatide, ibudutant and ebastine) or used in chronic constipation or for other indications, with potential application in IBS (prucalopride, elobixibat, mesalazine, ondansetron and colesevelam) are also reviewed.
Muscle degeneration in inguinal hernia specimens
Venue: Hernia
Year: 2011

BackgroundThere are few articles in the literature reporting the histological changes of groin structures affected by inguinal hernia. A deeper knowledge of this matter could represent an important step forward in the identification of the causes of hernia protrusion. This study aimed to recognise the pathological modifications of muscular structures in autopsy specimens excised from tissues surrounding the hernia orifice.MethodsInguinal hernia was identified in 30 autopsied cadavers, which presented different varieties of hernia, including indirect, direct and mixed. Tissue specimens were resected for histological study from structures of the inguinal area surrounding the hernia opening, following a standardised procedure. The histological examination was focussed on the detection of structural changes in the muscle tissues. The results were compared with biopsy specimens resected from corresponding sites of the inguinal region in a control group of 15 fresh cadavers without hernia.ResultsSignificant modification of the muscular arrangement of the inguinal area was recognized. Pathological alterations such as atrophy, hyaline and fibrotic degeneration, as well as fatty dystrophy of the myocytes were detected. These findings were observed consistently in the context of multistructural damage also involving vessels and nerves. In cadavers with hernia these alterations were always present independent of hernia type. No comparable damage was found in control cadavers without hernia.ConclusionsThe high degree of degenerative changes in the muscle fibres in the inguinal area involved in hernia protrusion described in this report seems to be consistent with chronic compressive damage. These alterations could embody one important factor among the multifactorial sources of hernia genesis. Conjectures concerning its impact on the physiology and biodynamics of the inguinal region are made. The relationship between the depicted degenerative injuries and the genesis of inguinal hernia is also a focus of discussion in this article.