Miracle-dz/UniFAR-FTUs huggingface dataset:
ʻIdle, Drunk and Good-for-Nothingʼ: The Rank-and-File Perpetrators of 1932-1933 Famine in Ukraine and Their Representation in Cultural Memory

This dissertation examines identifiable traces of the perpetrators of the 1932-1933 famine in Ukraine, known as the Holodomor, and their representation in cultural memory. It shows that the men and women who facilitated the famine on the ground were predominantly ordinary people largely incongruous with the dominant image of the perpetrator in Ukrainian cultural memory. I organise this interdisciplinary study, which draws on a wide range of primary sources, including archival research at all levels – republican, oblast’, district, village and private, published and unpublished memoirs and, on one occasion, an interview with a perpetrator; major corpora of oral memory, post-memory and cultural texts – into two parts. The first part employs a microhistorical analysis of the perpetrators and their actions through. Chapter One, ʻThe Mechanism of the Famine on the Groundʼ, outlines the Soviet policies that led to mass starvation and identifies various groups of people involved in the famine’s facilitation. It offers an analysis of events on village and district level, which reveals previously understudied groups, and employs a criminological approach to advance a new typology of the perpetrator. Chapter Two, ʻThe Case Studiesʼ, focuses on perpetrators in two villages: Toporyshche in the Zhytomyr oblast’ and Popivka in the Poltava oblast’. The second part explores the representation of the perpetrator in cultural memory, with a particular focus on Ukrainian novel, poetry, drama, film and museum practice, and examines how different cultural narratives frame the question of the agency of the perpetrator. While Soviet-era Ukrainian texts characterise the perpetrators as purely ideological participants, post-Soviet and diaspora artists cast them as the Other, while dissident authors disperse agency altogether. In order to support these claims I bring together archival evidence and works of cultural memory. In this dissertation I show that people who facilitated the famine on the ground were predominantly ordinary people as the participants in other cases of mass violence, thus rendering the image of the Other, aberrant or exclusively ideological participant in cultural memory inefficient to explain how this devastating famine was possible. By bringing together archival evidence and works of cultural memory, I foreground a central discrepancy between the identity and representation of the perpetrators of one of the most catastrophic events of the twentieth century.
Genre and Domain Dependencies in Sentiment Analysis

Genre and domain influence an author’s style of writing and therefore a text’s characteristics. Natural language processing is prone to such variations in textual characteristics: it is said to be genre and domain dependent. This thesis investigates genre and domain dependencies in sentiment analysis. Its goal is to support the development of robust sentiment analysis approaches that work well and in a predictable manner under different conditions, i. e. for different genres and domains. Initially, we show that a prototypical approach to sentiment analysis—viz. a supervised machine learning model based on word n-gram features—performs differently on gold standards that originate from differing genres and domains, but performs similarly on gold standards that originate from resembling genres and domains. We show that these gold standards differ in certain textual characteristics, viz. their domain complexity. We find a strong linear relation between our approach’s accuracy on a particular gold standard and its domain complexity, which we then use to estimate our approach’s accuracy. Subsequently, we use certain textual characteristics—viz. domain complexity, domain similarity, and readability—in a variety of applications. Domain complexity and domain similarity measures are used to determine parameter settings in two tasks. Domain complexity guides us in model selection for in-domain polarity classification, viz. in decisions regarding word n-gram model order and word n-gram feature selection. Domain complexity and domain similarity guide us in domain adaptation. We propose a novel domain adaptation scheme and apply it to cross-domain polarity classification in semiand unsupervised domain adaptation scenarios. Readability is used for feature engineering. We propose to adopt readability gradings, readability indicators as well as word and syntax distributions as features for subjectivity classification. Moreover, we generalize a framework for modeling and representing negation in machine learning-based sentiment analysis. This framework is applied to in-domain and crossdomain polarity classification. We investigate the relation
The Moderating Factors in the Relationship between ERP Investments and Firm Performance

Information Technology (IT) investments, especially Enterprise Resource Planning (ERP) systems, are necessary in maintaining the vitality and competitiveness of firms, and are critical for their survival and development. Therefore, understanding the impact of ERP investments is important to managers and researchers. Few studies have focused on the moderating effect of ERP investments on firm performance. Using the samples of 137 listed companies in the US from 1998 to 2007, this paper employs the panel and hierarchical linear models to study the moderating effects of corporate governance, diversification, and industry growth on firm performance. The empirical results show that corporate governance has a positive moderating effect on the relationship between ERP investments and firm performance, and that firms with a higher level of diversification perform worse after ERP implementation. Furthermore, the results reveal that industry growth has a positive moderating effect.
Cultural Analysis of Half-Century Demographic Swings of Iran: The Place of Popular Culture

Giving specific reference to the place of popular culture, this paper examines the patterns and determinants associated with population dynamics from socio-cultural perspectives. The discussion is based on the analysis of observations in a country that has experienced substantial changes in family formation resulting in one of the world's most spectacular falls in women's birth rate ever experienced in human history: Iran. Facing fundamental historical experiences and substantial socio-cultural changes over the past decades, the context of this study acts as a unique ‘social laboratory’ to survey the intergenerational comparisons. The results of this analysis show substantial intergenerational transition, which provide new evidence to support Sauvey's (1978) and Weeks's (1994) socio-demographic investigations in some other developing countries.
Prevalence of Pulmonary Hypertension among Patients with β- thalassemia Major in Erbil Province -Iraq

Background: Cardiac manifestation including heart failure, arrhythmia, and pulmonary hypertension are well recognized among β-thalassemia major patients.Pulmonary hypertension is responsible for about half of their mortalities yearly. Objective: To estimate the prevalence of pulmonary hypertension and identifying the risk factors among β-thalassemia major patients. Patients and Methods: A cross sectional study was carried out in Thalassemia Center and Rizgary Teaching Hospital in Erbil-Iraq during the period from 1st of April to 31st of December, 2017 on a convenient sample of 100 patients with β-thalassemia major. The prevalence of pulmonary hypertension was determined and the diagnosis based on Echography findings. Results: Pulmonary hypertension was observed among 31% of β-thalassemia major patients. The prevalence was significantly related to age, history of splenectomy, improper chelation therapy and obesity, as well (p value =0.04, 0.01, 0.03 and 0.01 respectively). Moreover; the severity of pulmonary hypertension was significantly associated with older age (p= 0.007) and mean lower ejection fraction (p <0.001). Conclusion: The prevalence of pulmonary hypertension among our patients with β-thalassemia major is within acceptable range.
Damage identification on the Z24-bridge using vibration monitoring analysis

In the framework of developing a non-destructive damage identification technique, vibration monitoring is a useful evaluation tool that relies on the fact that the occurrence of damage in a structural system leads to changes in its dynamic properties. The damage identification techniques are based on the observed shifts in eigenfrequencies and modeshapes and relate the dynamic characteristics to a damage pattern of the structure. The presented technique makes use of the calculation of modal bending moments and curvatures to derive the bending stiffness at each location. Damage identification results are compared with results from a classical sensitivity based updating technique. The basic assumption in both techniques is that damage can be directly related to a decrease of stiffness in the structure. Damage assessment techniques are validated on the progressively damaged prestressed concrete bridge Z24 in Switzerland, tested in the framework of the BRITE-EURAM project SIMCES. A series of full modal surveys are carried out on the bridge before and after applying a number of damage scenarios.
Characterisation of the spatial sensitivity of classifiers in pedestrian detection

In this paper, a study of the spatial sensitivity in the pedestrian detection context is carried out by a comparison of two descriptor-classiﬁer combinations, using the well-known sliding window approach and looking for a well-tuned response of the detector. By well-tuned, we mean that multiple detections are minimised so as to facilitate the usual non-maximal suppression stage. So, to guide the evaluation we introduce the concept of spatial sensitivity so that a pedestrian detection al-gorithm with good spatial sensitivity can reduce the number of classiﬁcations in the pedestrian neighbourhood, ideally to one. To characterise spacial sensitivity we propose and use a new metric to measure it. Finally we carry out a statistical analysis (ANOVA) to validate the results obtained from the metric usage.
Positive memories? A narrative analysis about positive experiences during a war childhood in Sarajevo under siege

The siege of Sarajevo 1992-1996 is often discussed in terms of the flourishing cultural scene or the struggle of civilians to survive. The childhood experiences of those who grew up in Sarajevo during the war have been explored and written about, but rarely has there been anything published about the positive experiences of their daily lives. The aim of this research is to provide a deeper understanding of the complexity of a war childhood by examining the perception of the positivity of children. By using a thematic narrative analysis this paper explores the perception of children's positivity during the war in Sarajevo in interviews provided by the War Childhood Museum. The analysis is written through the lens of the concepts normalisation, victimisation and memorisation. The paper identifies the existence of positivity and six factors which contributed to the creation of positive experiences: creativity, relationship to neighbours, children's perspectives, shifted realities, 'Sarajevo humour' and the resistance of children. This study contributes to the understanding of the complexity of a war childhood in Sarajevo with results that can be transferred to other war zones.
Education and Literacy in Ancient Italy: Evidence from the Dedications to the Goddess Reitia

Abstract This article discusses the votive dedications to the goddess Reitia at the sanctuary of Este-Baratella (Veneto) as evidence for the acquisition of literacy in Italy c. 350–150 b.c. These dedications, which take the form of bronze writing-tablets and styluses, are inscribed with Venetic dedicatory formulae, abecedaria and other writing exercises. This article shows how these texts function as writing exercises — some of the earliest evidence of elementary education methods in Italy. Many of the votives were dedicated by women, and this article argues that women were active participants in literacy and education in this period. It also sets the dedications in their Italian and Mediterranean context by comparing them to votive and funerary deposits of abecedaria from across Italy and the ancient world.
Effective SNR mapping for link error prediction in OFDM based systems

Multicarrier communication systems with adaptive modulation and coding systems such as OFDM are well suited for high speed and mobility oriented networks like mobile WIMAX that has to support users in different fading and mobility conditions. The channel estimation and link prediction are worked out at different levels. These estimators and predictors are normally examined using complex emulators and simulators. It is very difficult to predict the performance of different links with same SNR. There is a need to design simple link performance predictors. In this paper the BER and Pe are estimated using Effective Exponential SIR Mapping. This method is proved better than conventional methods used for prediction. The results are showed to be within the boundary conditions defined by chernoff union bound. The bound was developed for EESM mapping using mathematical model developed for BPSK under AWGN channel. The results are showed for different modulations order and different channel realizations.
Chapter 7. Sociocultural Theory and second language development: Theoretical foundations and insights from research

This chapter provides an overview of the theoretical foundations of Sociocultural Theory and an up-to-date account of current research stemming from this perspective. At the core of this theory is mediation, which refers to the process that enables humans to deploy physical and psychological tools to gain control over social and mental activity. Development is seen as the ability to internalise or make use of culturally created means of mediation, e.g., language, to gain such control. Language development is therefore seen as the ability to increasingly take part in social activity. In turn, this ability is implicated in linguistic change in a recurring and interdependent developmental cycle. The chapter discusses how crucial questions have been addressed by key Sociocultural Theory scholars and explores how future empirical investigation can further contribute to our understanding of second language acquisition (SLA).
Optimal Placement of SVC using NSGA-II

Improving voltage stability, reducing real power loss (PL) and voltage deviation (VD) are the most important tasks in the operation of electrical power systems. Voltage instability and voltage collapse are the severe problems which may take place because of deficit reactive power at load buses due to increased loading or contingencies. In this paper, the problem of obtaining optimal location and size of SVC is formulated as true multi-objective optimization problem for simultaneous minimization of the two objectives namely real power losses and load bus voltage deviation. The two algorithms real coded genetic algorithm (RCGA) and non-dominated sorting genetic algorithm-II (NSGA-II) with a feature of adoptive crowding distance have been used for solving nonlinear constrained multi-objective optimization problem. Both the algorithms have been used for obtaining optimal location and sizing of SVC. Voltage security of the power system has also been analyzed separately for all placement of SVC to ensure secure operation of the system. The proposed approaches have been implemented on IEEE 30-bus test system. The simulation results of the two algorithms have been compared for solution quality, computational complexity and computational time. It has been found that NSGA-II presents better performance in solving multi-objective optimization problem and also in obtaining a diverse set of solutions which converge near the true Pareto-optimal front. The simulation results of NSGA-II have also been presented to exhibit the capabilities of the algorithm to generate well-distributed Pareto-optimal front.
A Review on the Recent Quality-of-services (QoS) Issues in MANET

The purpose of this paper is to carry out study on delay minimization techniques of data transmission, which is a major Quality-of-service (QoS) parameter in Mobile ad-hoc network (MANET). Various algorithms that are given in the study of previous investigators have been considered and analyzed and a tabulated summary work has been carried out. Related works shows the various previous works done on QoS service parameter delay. On various conclusions, this paper focuses on end-to-end delay and its effective factors so that an efficient data transmission is achieved. General Terms Quality of services in MANET
On the last mile: logistical urbanism and the transformation of labour

In recent years, the last mile of delivery has become a crucial focus of logistical operations in urban contexts due to the rise of online shopping and the spread of platforms including Amazon to Foodora, Deliveroo and others. This article claims that the increasing importance and time-sensitivity of delivery reconfigures both urban spaces and labour relations. Through an analysis of labour relations in different segments of last mile delivery it argues that we are observing profound changes driven most importantly by digital technologies and the hyper-flexible employment relations facilitated by online platforms. Labour on the last mile is increasingly characterised by intense time pressure, standardisation, algorithmic management and digitally enabled surveillance on the one hand, and platform-driven precarisation and flexibilisation on the other. These developments can also be observed in other areas of logistical labour and across different industries. Hence, labour on the last mile might be understood as a specific but important expression of a broader tendency of the transformation of labour in digital capitalism. At the same time, the new importance of the last mile also signals changes in the production of urban space in the context of platform-driven forms of production, circulation and consumption, that are discussed as an emerging logistical urbanism.
A parallel bi-level multidisciplinary design optimization architecture with convergence proof for general problem

ABSTRACT Quite a number of distributed Multidisciplinary Design Optimization (MDO) architectures have been proposed for the optimal design of large-scale multidisciplinary systems. However, just a few of them have available numerical convergence proof. In this article, a parallel bi-level MDO architecture is presented to solve the general MDO problem with shared constraints and a shared objective. The presented architecture decomposes the original MDO problem into one implicit nonlinear equation and multiple concurrent sub-optimization problems, then solves them through a bi-level process. In particular, this architecture allows each sub-optimization problem to be solved in parallel and its solution is proven to converge to the Karush–Kuhn–Tucker (KKT) point of the original MDO problem. Finally, two MDO problems are introduced to perform a comprehensive evaluation and verification of the presented architecture and the results demonstrate that it has a good performance both in convergence and efficiency.
Kadın Futbolcularda Antrenörle İletişim Düzeyi ve Başarı Motivasyonu İlişkisi

Bu calismanin amaci, kadin futbolcularin antrenorle olan iletisim duzeyi ile basari motivasyonu arasindaki iliskiyi ve ogrenim durumu, spor yapma yili, ayni antrenorle calisma suresi gibi degiskenler acisindan iletisim duzeyi farkliliklarini ortaya koymaktir. Calisma orneklemi 2007-2008 futbol sezonunda Ankara bolgesinde faal olan kadin futbolculardan secilmistir. Arastirmada veri toplama araci olarak “Futbolda Antrenor Iletisim Olcegi” ile “Spora Ozgu Basari Motivasyonu Olcegi” kullanilmistir. Arastirma verilerinin analizinde SPSS 16.0 programindan yararlanilarak, Mann Whitney U, Kruskal Wallis ve Spearman’s rho korelasyon analizi kullanilmistir. Arastirmada sonucunda kadin futbolcularin ogrenim durumu, spor yapma yili ve ayni antrenorle calisma suresi arttikca iletisim duzeylerinin de arttigi tespit edilmistir
SİYAH-ALACA TOSUNLARIN DEĞİŞİK DÖNEMLERDEKİ VÜCUT ÖLÇÜLERİ VE VÜCUT ÖLÇÜLERİNDEN CANLI AĞIRLIĞIN TAHMİNİ

Bu calismada on sekiz bas Siyah-Alaca tosunun degisik donemlerdeki canli agirliklari (CA) ve dokuz farkli vucut olculeri alinmis, bu olculerden gogus cevresi (GC), but cevresi (BC), sagri yuksekligi (SY) ve cidago yuksekligi (CY) kullanilarak stepwise-regresyon yontemi ile hayvanlarin CA'larini tahminde kullanilabilecek esitlikler elde edilmistir. Elde edilen uc regresyon esitliginde de R2 > 84 olarak tahmin edilmistir. Vucut olculerinin biri birleri ile ve CA ile olan korelasyonlari ve bu ozelliklerin tekrarlanma dereceleri de yuksek bulunmustur. GC'nin CA'yi tahmin etmek icin tek basina kullanilmasinin yeterli olacagi, BC ve SY'nin de kullanilmasi ile CA'yi tahmindeki dogrulugun artacagi sonucuna varilmistir.
Clinical Profile and Short Term Outcome of Optic Neuritis in Manipur

In this prospective study, 22 eyes of 20 optic neuritis patients were examined and followed up for 3 months. Mean age was 47.6 ± 14.05 years. Female preponderance was seen (65% of cases). Papillitis (90% of eyes) was more common than retrobulbar neuritis (10% of eyes). Bilateral presentation was seen in 10% cases. At presentation, most of the eyes presented with visual acuity <6/60 (n=15, 68.18%) which improved to ≥6/60 in most of the patients (n=18, 81.8%) at three months followup.The clinical profile of optic neuritis in Manipur population is different from that in the Western population but similar to Asian population. Unlike reported in the Western literature, papillitis and unilateral presentation was more frequent but poorer outcomes.
Enabling Runtime Self-Coordination of Reconfigurable Embedded Smart Cameras in Distributed Networks

Smart camera networks are real-time distributed embedded systems able to perform computer vision using multiple cameras. This new approach is a confluence of four major disciplines (computer vision, image sensors, embedded computing and sensor networks) and has been subject of intensive work in the past decades. The recent advances in computer vision and network communication, and the rapid growing in the field of high-performance computing, especially using reconfigurable devices, have enabled the design of more robust smart camera systems. Despite these advancements, the effectiveness of current networked vision systems (compared to the operating costs) is still disappointing. The main reason is the poor coordination of the camera entities at runtime which results from the lack of a clear formalism to dynamically and autonomously capture and address the self-organization problem. In this dissertation, we investigate the use of a declarative-based modeling approach for capturing runtime self-collaboration of distributed smart cameras. Combining modeling approaches borrowed from logic programming, computer vision techniques, and high-performance computing, we propose an autonomous and cooperative smart camera system. We also propose a compact modeling approach based on Answer Set Programming for architecture synthesis of a system-on-chip camera that is able to support runtime collaboration with other camera nodes in a distributed network setup. Finally, we propose a declarative approach for enabling runtime camera self-coordination in case of distributed object tracking wherein moving targets are decentrally handed over and successfully recovered after node failure.