Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Mining, a Tool for Systems Biology or a Systems Biology Tool

In the past ten years, we have witnessed revolutionary changes in biomedical research and biotechnology. There has also been an explosive growth of biomedical data, ranging from those collected in pharmaceutical studies and lifescience investigations, to those identified in “omics” research by discovering sequential patterns, gene functions, and protein-protein interactions. The rapid progress of biotechnology and biological data analysis methods has led to the emergence and fast growth of a promising field, namely, systems biology. Systems biology is based on the understanding that the behavior of the whole is greater than would be expected from the sum of its parts. The field is not new, but is regaining some interest for network analysis as a reachable but mysterious, large-scale genomic structure. Thus, the ultimate goal of systems biology is to predict the behavior of the whole system on the basis of the list of components involved. On the other hand, recent progress in data mining research has led to the development of numerous efficient and scalable methods for mining interesting patterns and knowledge in large databases, ranging from efficient classification methods to clustering, outlier analysis, frequent, sequential, and structured pattern analysis methods, and visualization and spatial/temporal data analysis tools.
Diagnóstico socioeconómico y ambiental del manejo de residuos sólidos domésticos en el Municipio de Haina

En Republica Dominicana, el Municipio de Haina, es uno de los puntos mas criticos y conocidos por las fuentes y niveles de contaminantes que alli se generan. Sobre la contaminacion por residuos solidos, el Municipio maneja residuos de origen domestico, industrial y comercial, de manera conjunta y sin una adecuada gestion, representando un grave problema para los municipes y el Ayuntamiento del lugar. Para el estudio de esta problematica, se evaluo la eficiencia del sistema de manejo de residuos solidos domesticos, atendiendo a las caracteristicas de la zona, composicion de los residuos y recursos disponibles para su recoleccion, transporte y disposicion, y estimacion de los costos economicos relacionados con las condiciones ambientales existentes. El diagnostico refleja el impacto que un sistema eficiente de manejo de residuos solidos, a nivel de hogares, puede lograr en la comunidad, mejorando directamente el nivel de salud y calidad de vida, mucho mas alla del cambio fisico del entorno
Deep path planning using images and object data

Autonomous vehicles are currently being heavily researched with the purpose of finding a manner in which a vehicle can drive safely. An approach for doing this is imitation learning by which human behavior is imitated, and which recently has found success in steering vehicles using images. For this thesis, the purpose is to investigate whether imitation learning can be applied to path planning for autonomous vehicles using several sources of input data. We also want to investigate if merging different types of information will improve the safety and robustness of the vehicle. The aim is therefore to design and implement a neural network which merges input data from several sources and predicts the path of the vehicle 5 seconds into the future. This thesis compares a variety of neural network models used to predict the path. Some models use data from only one source, while other merge the data. The results show that it is possible to use deep learning to predict the path for autonomous vehicles in some situations. They also show that including images as input to the model does not significantly improve the performance. Instead, using only object data make the networks performs as good as merging the inputs. However, more research are needed in order to find a more accurate and stable model.
Single image thin cloud removal for remote sensing images based on conditional generative adversarial nets

Remote sensing images play a critical role in modern Earth Observation missions, but the interpretations of remote sensing images are easily to be obstructed by the existence of cloud and haze. In this paper, a novel end-to-end generative Single-image thin Cloud and haze Removal Network, referred to as SCR-net, is proposed. The designed SCRnet is a generative model based on Conditional Generative Adversarial Nets (C-GANs), which uses a generator network G to learn the conditional distribution of the cloud-free data and a multi-scale discriminator D to distinguish between real and fake images. Through supervised training, the generator G can predict a cloud-free image using the input noise and a cloud-contaminated image of the same spot. An adversarial minimax objective is used to drive G to learn the distribution of real cloud-free data, and a distance objective in both feature space and image space ensures the quality of the generated image. Quantitative and qualitative experiments are conducted on the synthesized images and real images. Results reveal that the proposed method can effectively remove even and uneven thin cloud in remote sensing images of various scenes, along with good color consistency.
The “Darth” Side of Technology Use: An Inductively Derived Typology of Cyberdeviance

Abstract Cyberdeviance, intentional use of information technology (IT) in the workplace that is contrary to the explicit and implicit norms of the organization and that threatens the well-being of the organization and/or its members, is an important research stream that has gained attention in academia and industry. Prior studies have treated different forms of cyberdeviance as different phenomena, resulting in a lack of a collective underlying conceptualization of cyberdeviance. This work inductively and empirically derives a typology of cyberdeviance with 439 respondents across three phases. Our results suggest that cyberdeviance varies along 3 dimensions: cyberdeviant behaviors that are minor versus serious; cyberdeviant behaviors that target individuals versus organizations; and cyberdeviant behaviors that require low versus high technical skill. We thus provide a comprehensive framework that fosters a logical linkage of various research programs related to cyberdeviance to guide future research investigation. The typology will help managers to distinguish different cyberdeviant behaviors and implement suitable interventions depending on the behavior.
Spread spectrum techniques and applications in the Asia-Pacific region

This paper presents a review of the spread spectrum techniques and applications in the Asia-Pacific region. After a summary of research and development status of spread spectrum communications in this region, spreading sequences, interference cancellation, spread spectrum modulation/demodulation, acquisition and tracking, and application systems are discussed. New results and spread spectrum systems in China, Japan, Australia, Korea, Singapore, Taiwan and Hong Kong are presented together with future prospects.
Rosanvallons Konzepte von Repräsentation und Volk und ihre Bedeutung für das Verstehen des Populismus

Zusammenfassung Pierre Rosanvallon schlagt vor, die Demokratie von ihrem Scheitern und ihren Widerspruchen her zu begreifen. Im Zentrum seines Denkens stehen die Reprasentation des Volkes und ihre Krisen. Dieser Ansatz ist fur das Denken des Populismus vielversprechend. Seine Kernaussage ist, dass der Populismus aus einem intrinsischen Unbehagen der Demokratie entsteht. Er bietet eine Antwort, indem er das Volk als homogene Einheit uberhoht und im Fuhrer verkorpert. Dies ist jedoch ein grundlegendes Element von Claude Leforts Theorie zum Totalitarismus. Der Aufsatz folgt Rosanvallon bis zu diesem Punkt, bietet aber eine Alternative zu Rosanvallons Interpretation des Populismus, die sich von der Totalitarismus-Dynamik unterscheidet. Die zentrale These des Textes ist, dass der Populismus zwar die demokratische Reprasentation verschiebt, sich aber auf einer schmalen Linie zwischen Demokratie und anti-demokratischen Dynamiken bewegt. Es handelt sich daher nicht um dieselben Dynamiken, die Lefort fur den Totalitarismus beschreibt. Damit bleibt auch weiterhin offen, ob Populismus zum Totalitarismus fuhrt oder nicht. Schlusselworter: Rosanvallon, Populismus, Reprasentation, Volk, Demokratie ----- Abstract The French historian Pierre Rosanvallon proposes a new perspective on democracy by considering its contradictions and failures. The focus of his research is the representation of the people and its crisis. Such a perspective is fruitful for the understanding of populism. For Rosanvallon populism is a byproduct of the malaise of democracy. It is an answer to the crisis of people’s representation, in which the people is idealized and embodied by the leader. Yet, this is exactly Claude Lefort’s explanation for totalitarianism. This paper follows Rosanvallon until this crucial point, but it differs from his argument by proposing an alternative interpretation of the phenomenon. My main argument is that populism does not follow the totalitarian dynamic described by Rosanvallon. It does not destroy democratic representation like totalitarianism does. Rather populism shifts the representation of the people by oscilating between democratic and anti-democratic dynamics. For this reason, the totalitarian evolution of populism remains unsettled. ----- Bibliographie: Diehl, Paula: Rosanvallons Konzepte von Reprasentation und Volk und ihre Bedeutung fur das Verstehen des Populismus, ZPTh, 1-2016, S. 73-89. https://doi.org/10.3224/zpth.v7i1. 07
'Why' and 'How' WH-words in Earlier Southern Min Texts: Interface of Inherent Properties of 'why/how' WH-words and their Syntactic Positions *

The paper examines the interface of inherent properties of ‘why/how’ WH-words and their syntactic positions in earlier Southern Min texts, hybrid playscripts written in a mixture of Chaozhou and Quanzhou dialects, dating back as early as 16 th century (Wu 2001a-d). The WH-words falls into two major types: mih 4 乜-based WH-words and chai 7 侢-based WH-words. The meaning of each type of WH-words is partially conditioned by the structural position it occupies. Four dedicated positions are found: force, premodal, preverbal and postclausal. Force, premodal, preverbal and postclausal WH-words are conducive to rhetorical question, cause/reason, manner, and purpose reading respectively. Most of ‘why/how’ WH-words are headed by cho 3 做. I propose that starting out as a marker of focus cho 3 做 is instrumental in turning variable-bearing WH-words into adjunct WH-words.
Rupture of the cranial cruciate ligament in dogs. Part II. Diagnosis and management

Rupture of the cranial cruciate ligament is common in dogs. Part I of this two-part presentation discussed how osteoarthritis of the stifle precedes and contributes to rupture of the cranial cruciate ligament This part concludes that the aim in treatment is not to replace the ruptured ligament but to reduce pain and slow the progression of osteoarthritis within the joint. Tests of joint laxity and other means of diagnosis are described. Conservative management is often appropriate for small dogs. Regardless of the surgical technique used, 85% to 90% of dogs show clinical improvement, although fewer than 50% become sound on the affected leg. None of the surgical techniques stop the progression of osteoarthritis.
Associations between Area of Residence and Cardiovascular Risk

Cardiovascular disease (CVD) is the primary cause of death in many developing countries. The most preventable form of CVD is coronary heart disease (CHD). The present study aimed to identify cardiovascular risk factors and correlation with atherosclerotic cardiovascular disease in 364 patients from a rural community in Romania. There were assessed the traditional risk factors for cardiovascular disease. We used descriptive statistic method to calculate the average and standard deviation of assessed parameters. The data were processed by using the Kolmogorov- Smirnov (K-S) test. Risk scores were calculated by using the University of Edinburgh Risk Calculator. The mean value of systolic blood pressure was 130.9 mmHg, total cholesterol of 3.38 mmol/l, and HDLc 1.33 mmol/l. The risk of coronary heart disease (CHD) was significantly higher in urban than in rural (8.03% vs 6.6%). The risk of myocardial infarction (MI) was higher in urban than in rural, too (4.5% vs 2.8%). The risk for cardiovascular disease was significantly higher in urban than in rural (19.4% vs 12.9%). There was no significant risk of stroke, coronary heart disease or death due to cardiovascular disease in urban or rural. Further studies will establish the main mechanism of linkage between and tightly correlation with cardiovascular risk factors.
Estimating costs for treating patients with multi-drug resistant tuberculosis (MDR TB) under the regional tuberculosis control program, Tomsk (Russia)

Introduction: An outpatient management strategies designed to ensure treatment adherence is not widely used because they are perceived to be too expensive. Our study estimated costs of inpatient and outpatient MDR tuberculosis treatment. Aim: To examine direct and indirect costs incurred by MDR TB patients in Tomsk, Russia during treatment to generate an evidence base and formulate recommendations. Methods: A cross-sectional economic assessment at municipal TB service sites (inpatient facility, Day Hospital, Polyclinic, Hospital-at-Home, and “Sputnik”) was conducted. Based on the data collected, various costs (direct medical, non-medical, indirect and total costs incurred on account of MDR TB during one month of treatment with the second line TB medications) were estimated, converted into US$, and categorized into five models of TB care. Results: The highest cost of treatment was associated with treatment at inpatient hospital ($1057.6). The cost for Hospital-at-Home ($634.5) exceeded treatment in the polyclinic ($530.3) by 20%, but was lower than in Day Hospital ($732.5) or Inpatient Hospital on 13% and 40% respectively. Conclusion: Based on the studies showing better TB outcomes with home-based treatment models and the results of our economical evaluation, we advise to widely employ the Hospital-at-Home practice. The "Sputnik" program, in which a limited number of socially vulnerable patients receive treatment at home, has the highest costs among all of the outpatient sites ($819.8). However, due to the great efficiency and lower costs compared to the inpatient treatment, "Sputnik" is also recommended for implementation in regions.
Pediatric Swallowing and Feeding: Assessment and Management

Pediatric Swallowing and Feeding: Assessment and Management focuses on an area of utmost concern in many young infants and young children with disabilities. The editors/authors, Drs. Arvedson and Brodsky, cogently organize and present a comprehensive, interdiscriplinary text on this critical area in health care. By providing a wealth of practical information against the backdrop of a management team, this books goes beyond merely stating that interdisciplinary teams are important. It is one of those rare books that accomplishes a host of purposes and will prove an invaluable resource to personnel from many disciplines.
Identific ation of Agricultural Crop Types in Northern Israel using Multitemporal RapidEye Data

Summary: Accurate land use / land cover classifi-cation (LU/LC) of agricultural crops still repre-sents a major challenge for multispectral remotesensing. In order to obtain reliable classificationaccuracies on the basis of multispectral satellitedata,mergingcropclassesinratherbroadclassesisoftennecessary.Withregardtotherising availabil-ity and the improving spatial resolution of satellitedata, multitemporal analyses become increasinglyimportant for remote sensing investigations. Forthe separation of spectrally similar crops, multi-datesatelliteimagesinclude differentgrowthchar-acteristics duringthephenologicalperiod.Thepre-sent study aims at investigating a way to performhighlyaccurateclassificationswithnumerousagri-cultural classesusing multitemporalRapidEyedata. The Jeffries-Matusita separability (JM) wasused for applying a pre-procedure in order to findthe best multitemporal setting of all available im-ages withinone crop cycle, consisting of twoculti-vation periods P1 with 16 agricultural classes andP2 with 27 agricultural classes. Only one criticalclass pairing occurred for both P1 and P2 takinginto account the best multitemporal dataset. Themaximum likelihood (ML) classifier and the sup-port vector machine (SVM) were compared usingthemostsuitable multitemporalimages.Bothalgo-rithms achieved very high overall accuracies(OAA)of over 90%. SVM was slightly better witha classification accuracy of P1-OAA = 96.13% andP2-OAA=94.01%. MLprovidedaresult of OAA =94.83% correctly classified pixels for P1 and OAA= 93.28% for P2. Theprocessingtimeof ML,how-ever, was significantly shorter compared to SVM,infact by a factor of five.
La acústica del crucero de la Catedral de Sevilla en las grandes celebraciones

The Cathedral of Seville, whose Spanish typology wa s exported to Latin America, is the most valued example of the city's c ultural heritage. With the daily practice of the li turgy, the building is mainly used for worship and prayer, occasionally combining this with the celebration of major ceremonies, such as religious festivities and concerts, organiz ed for a large audience. organized in the socalled "Spanish style" with the choir located in th e middle of the nave, dividing it into two spaces, leading to a lack of visibility an d depth for accommodating the public. Hence, a new spatial configuration of the cathedral transept was adopted and significa tly increased audience capacity for such ceremonies. In this paper, an acoustic assessment of the adapta tion of the transept is performed, based on the analysis of simulation of the acoustic models gene situ measurements, corresponding to the usual spati al organization and location of the audience.
Effective pre-school, primary and secondary education(EPPSE 3 – 16+) project: post age 16 destinations

The Effective Pre-school, Primary and Secondary Education (EPPSE 3-16+) project is a longitudinal study, funded by the Department for Education (DfE), that has tracked the academic progress and social-behavioural development of approximately 3,000 children from their early years (age 3/5) to their early post age 16 destinations. During 17 years the focus has shifted from pre-school (EPPE 1997-2003) to include primary school (EPPE 3-11, 2003 – 2008), early secondary education (EPPSE 3–14, 2008–20012) and finally to the end of compulsory education1 and post-16 destinations (EPPSE 3–16+, 2011–2014). EPPSE has expanded into a programme of research and details of the many sub-studies (e.g., special educational needs, primary pedagogical strategies, students who ‘succeed against the odds’) can be found on the EPPSE website. Each phase has been supported by a range of technical papers, research reports, academic papers and research briefs
High-Volume Hemofiltration as Adjunctive Therapy for Sepsis and Systemic Inflammatory Response Syndrome: Background, Definition and a Descriptive Analysis of Animal and Human Studies

The application of high-volume hemofiltration (HV-HF) as adjunctive therapy in severe sepsis or systemic inflammatory response syndrome (SIRS) may improve outcome in critically ill patients, although this hypothesis remains a subject of significant debate. The original theory suggested beneficial effects of HV-HF through the removal of pro-inflammatory mediators. More recently, this theory was thought to be insufficient and novel hypotheses were proposed. Unfortunately, large, randomized controlled trials (RCTs) that are sufficiently powered for clinically meaningful outcomes are lacking. However, the effects of HV-HF in sepsis or SIRS have been studied in humans in small RCTs and observational studies, as well as in animal models. In humans, comparison among studies is hampered by the heterogeneity of both the study populations and hemofiltration strategies. Animal models overcome the problem of heterogeneity; however, they poorly mimic clinical practice. Of note, no two studies have applied the same definition for HV-HF. The present review discusses the new theories on HV-HF and its role as an adjunctive therapy in severe sepsis or SIRS, considering the literature over the last 15 years. In addition, the urge for a consensus definition for HV-HF is discussed, as well as the utility for future studies. Adv Sepsis 2007;6(2):47‐57.
A review of methodological research pertinent to longitudinal survey design and data collection

We present here a review of methodological research regarding issues that are pertinent to surveys involving longitudinal data collection, i.e. repeated measurement over time on the same units. The objective of the review is to identify important gaps in our knowledge of issues affecting the design and implementation of such surveys and the use of the data that they provide. This should help to inform the development of an agenda for future methodological research as well as serving as a useful summary of current knowledge. The issues addressed relate to sample design, missing data (as a result of item and unit non-response and attrition) and measurement error (including panel conditioning).
Combing data representation by Sparse Autoencoder and the well-known load balancing algorithm, ProGReGA-KF

In recent years, expansions and advances of the Internet of Things (IoTs) in a distributed MMOGs (massively multiplayer online games) architecture have resulted in massive growth of data in terms of server workloads. We propose a combing Sparse Autoencoder and one of platforms in MMOGs, ProGReGA. In the process of Sparse Autoencoder, data representation with respect to enhancing the feature is excluded from this set of data. In the process of load balance, the graceful degradation of ProGReGA can exploit the most relevant and less redundant feature of the data representation. We find out that the proposed algorithm have become more stable
Treatment and Management of Challenging Behaviours in Residential Settings

Aspects of the treatment and management of challenging behaviour were investigated among 500 adults with intellectual disabilities receiving various forms of residential supports. The present results indicated that: (1) 53% of participants were reported to have shown at least one 'moderately serious' or 'severe' form of challenging behaviour in the previous month; (2) the most commonly employed management strategies were physical restraint (used with 44% of people showing challenging behaviour), sedation (35%), seclusion (20%) and mechanical restraint (3%); (3) the most commonly employed 'treatment strategies' were goal setting within individual programme plans (used with 62% of people showing challenging behaviour), antipsychotic medication (49%), written intervention programmes (23%) and written behaviourally orientated intervention programmes (15%); and (4) factors identified through logistic regression analyses to be associated with the use of specific treatment and management strategies included personal characteristics of the person with intellectual disabilities (e.g. age and diagnosis of autism), resources (e.g. type of accommodation, cost of provision and staffing levels), the organization of resources (e.g, planning of support to residents) and the nature of the challenging behaviour (e.g. more sustained episodes of challenging behaviour).