Miracle-dz/UniFAR-FTUs huggingface dataset:
Payoff Allocation for Voltage Management System in Distribution Network using Demand Resources

This paper proposes a novel cooperative framework to develop the eﬃcient voltage management system with social acceptance in the distribution network with photovoltaic generations (PV). In the developed framework, the voltage management problem using demand resources of consumers is formulated as the linear programming problem based on the cooperative game theory. The proposed method can eﬃciently compute an imputation in the non-empty core, i.e., a solution concept of the cooperative game, to realize the reliable voltage management system. Unlike previous related works, this paper explicitly addresses incentives of the consumers to the cooperative voltage management system. Moreover, although the computation of the core requires generally a huge computational time, this paper can eﬃciently allocate the payoﬀ in the core by employing the linear production game (Owen, 1975). The proposed method is validated by computational experiments using a large scale distribution network model with PVs.
Ensemble learning using frequent itemset mining for anomaly detection

Anomaly detection is vital for automated data analysis, with specific applications spanning almost every domain. In this paper, we propose a hybrid supervised learning of anomaly detection using frequent itemset mining and random forest with an ensemble probabilistic voting method, which outperforms the alternative supervised learning methods through the commonly used measures for anomaly detection: accuracy, true positive rate (i.e. recall) and false positive rate. To justify our claim, a benchmark dataset is used to evaluate the efficiency of the proposed approach, where the results illustrate its benefits.
The Rise of Populism in Turkey: A Content Analysis

ABSTRACT The rise of populist parties around the world raises concerns about liberal democracy. Amid the discussions on democratic backsliding, this study scrutinises populism in Turkey by using quantitative content analysis. For this goal, this article uses parliamentary group speeches of political leaders between 2011 and 2019 (N = 569) as raw data. The results illustrate that Erdoğan is significantly more populist than other leaders. Kılıçdaroğlu, on the other hand, appears as the least populist political figure. While Bahçeli exploits a Manichean discourse, Peoples’ Democratic Party (Halkların Demokratik Partisi (HDP)) instrumentalises anti-elitism. The overall results indicate that Turkish politics is stuck in the spiral of populism, which damages democracy in Turkey.
'Opening the record': Planning the provision of counselling to people applying for information from the HFEA Register

The Steering Group has explored the counselling requirements of people who seek information about their origins from the HFEA Register and sets out the evidence in this report. It also addresses the needs of others who may be affected by a personOs wish to make such enquires as well as the implications for donors, their families and those who were conceived prior to the establishment of the Register in 1991.
CGMDA: An Approach to Predict and Validate MicroRNA-Disease Associations by Utilizing Chaos Game Representation and LightGBM

Recent studies have shown that microRNAs (miRNAs) play an important role in complex human diseases. Identifying potential miRNA-disease associations is useful for understanding the pathogenesis. However, there are currently only a few methods proposed to predict miRNA-disease association based on sequence information. And these methods can only quantify nonlinear sequence relationships without taking linear sequence information into account. In this work, we designed a computational method for predicting miRNA-disease association based on chaos game representation, called CGMDA, to overcome these problems. CGMDA combines association information with miRNA sequence information, miRNA functional information and disease semantic information to improve prediction accuracy. In particular, we use chaos game representation (CGR) technology for the first time to transform miRNA sequence information into image information and extract its features. In the cross-validation experiment, CGMDA achieved a mean the area under the receiver operating characteristic curve (AUC) of 0.9099 on the HMDD v3.0 data set. To better evaluate the performance of CGMDA, we compared it to different classifiers and related prediction methods. In addition, CGMDA is applied to three human complex diseases. The results showed that of the top 40 disease-related miRNAs predicted, 39 (Breast Neoplasm), 39 (Lymphoma) and 38 (Colon Neoplasm) were validated by experiments in case studies. These experimental results show that CGMDA is a reliable tool and has potential application prospects in assisting early diagnosis and treatment of prognosis.
#InFlux. Journalists’ adoption of social media and journalists’ social roles

#InFlux investigates journalists’ adoption of social media and social network sites (SNS) from the theoretical perspective of journalistic roles. It shows how the social roles of journalists are situated along the axes of formal– personal and news media logic–social media logic: skeptical shunners and activists, lurkers and networkers, news hubs and celebrified marketers, coordinators and ambassadors, professional marketers and pragmatics, entrepreneurs and journalists in incognito mode. The emergence of a social news media logic has implications for journalistic ethics and possibly brings a de-professionalization of journalists.
Association between increased hepatic lipid storage and impaired hepatic mitochondrial function in ovariectomized mice

Title of Document: ASSOCIATION BETWEEN INCREASED HEPATIC LIPID STORAGE AND IMPAIRED HEPATIC MITOCHONDRIAL FUNTION IN OVARIECTOMIZED MICE Ana Patricia Valencia, M.A., 2012 Directed By: Espen Spangenburg, Ph. D, 2012 Reduced ovarian function is associated with development of the metabolic syndrome (MetS). Increased risk for MetS is strongly linked to hepatic metabolic dysfunction. However, at this time few studies have examined metabolic function of hepatic tissue under conditions of reduced ovarian function. The purpose of this study was to determine if ovariectomy (OVX) impaired hepatic mitochondrial function and its potential association with sirtuin (SIRT) function. Female C57BL/6 mice were divided into two groups (SHAM, OVX). Hepatic mitochondrial function was measured by assessing oxygen consumption, reactive oxygen species (ROS) production, and mitochondrial protein content. In addition, mitochondrial acetylation status and SIRT protein content was determined. The OVX group exhibited increased ROS production compared to the SHAM group. However, no differences were detected in oxygen consumption, mitochondrial protein content, acetylation status, or total SIRT content between groups. The data shows that ovariectomy increases mitochondrial ROS production, which suggests a novel mechanism to consider. ASSOCIATION BETWEEN INCREASED HEPATIC LIPID STORAGE AND IMPAIRED HEPATIC MITOCHONDRIAL FUNTION IN OVARIECTOMIZED MICE
FACTORS CONTRIBUTING TO UNFULFILMENT OF AND CHANGES IN FERTILITY INTENTIONS IN CZECHIA

Objectives. Achieved fertility is lower than intended fertility in Europe. The factors contributing to this mismatch are thus an important research topic. The objective of this study is to identify the factors that contribute to the unfulfilment of short-term fertility intentions and to changes in the intended number of children to improve our understanding of the mismatch between achieved and intended fertility in Czechia. Material and methods. Binary logistic regression is applied to data on people aged 18-45 from two waves of the Generations and Gender Survey from 2005 and 2008 to explore what factors contribute to the unfulfilment of short-term fertility intentions, and to the Life Course 2010 data on people aged 25-60 from 2010 to identify what factors contribute to changes in the intended number of children. Descriptive statistics show the most cited reasons for the downward or upward changes in fertility intentions. Results. The results show the importance of gender, partner, age, cohort, and the two-child norm for the chance that short-term fertility intentions will be left unfulfilled and the chance that people will change the number of children they plan to have. The results confirm that short-term fertility intentions are predictors of fertility behaviour, and labour market instability and siblings are factors that influence the number of children a person intends to have. Economic conditions, health, and the absence of a partner are the main reasons given to explain downward changes in the number of children people plan to have, while a change of values / new experiences and the influence of one‘s partner explain upward changes. Conclusions. This study contributes to existing knowledge by testing factors associated with both, the fulfilment of short-term fertility intentions and changes in lifetime fertility intentions. They are rarely analysed together, although they both contribute to the postponement of childbearing and the mismatch between intended and achieved fertility.
Scheduling data streams for low latency and high throughput on a Cray XC40 using Libfabric

Achieving efficient many‐to‐many communication on a given network topology is a challenging task when many data streams from different sources have to be scattered concurrently to many destinations with low variance in arrival times. In such scenarios, it is critical to saturate but not to congest the bisectional bandwidth of the network topology in order to achieve a good aggregate throughput. When there are many concurrent point‐to‐point connections, the communication pattern needs to be dynamically scheduled in a fine‐grained manner to avoid network congestion (links, switches), overload in the node's incoming links, and receive buffer overflow. Motivated by the use case of the Compressed Baryonic Matter experiment (CBM), we study the performance and variance of such communication patterns on a Cray XC40 with different routing schemes and scheduling approaches. We present a distributed Data Flow Scheduler (DFS) that reduces the variance of arrival times from all sources at least 30 times and increases the achieved aggregate bandwidth by up to 50%.
Object detection and avoidance using LiDAR on a hydrofoil boat

Robots in factories and vehicles on our roads are rapidly reaching the point of automation. Commercial markets require high standards of safety and reliability, which in turn demands strict requirements on software and hardware. This thesis presents an analysis of driver assistance for a hydro-foil speedboat using LiDAR technology. The LiDAR sensor measures 2D positions of surrounding objects and the control software processes the data in order to distinguish clusters and movement.
Political Leaders and Changing Local Democracy : The European Mayor

648 Pro úspěch je v první fázi důležitý aktiv­ ní přístup představitelů města. Dále je žá­ doucí přenechat samotné nastavení partici­ pativního rozpočtování nezávislým odbor­ níkům. Při přípravě projektů a diskuzí nad nimi je pak nezastupitelná role mo­ derátora. Aby však celkový projekt získal v očích oby va tel potřebnou legitimitu, je nut né zajistit transparentní rozhodovací pro ces a účast obyvatel města na finálním roz hodnutí, které projekty budou nakonec podpořeny. Participativní rozpočtování je vhodným nástrojem pro budování lokální ko mu nity a zvýšení sociálního kapitálu, avšak autoři upozorňují, že v případě ex­ ten zivního využití informačních technolo­ gií místo osobního kontaktu s občany tento pozitivní efekt ve výsledku mizí. Zastupi­ telé evropských měst se na participativní rozpočtování dívají vesměs negativně až nepřátelsky, zejména pak ve východní Ev­ ropě. Nechápou jej jako doplněk k lokální zastupitelské demokracii. Poslední kapitola této části i celé knihy si klade otázky, jak moc jsou obyvatelé spo­ kojeni s fungováním lokální demokracie a kvalitou poskytovaných služeb? Co od lokální samosprávy očekávají? A jak hod­ notí jednotlivé aspekty demokracie? Na těchto otázkách by nebylo nic špatného. Problém však tkví ve výběru analyzova­ ných zemí, kterými jsou Norsko, Dánsko, Švýcarsko a Nizozemí. Nepřekvapí proto, že se výsledné hodnoty dotazníkového šet­ ření mezi obyvateli vůbec neliší. Ve všech zemích je vysoká důvěra v lokální samo­ správu. Ve všech zemích preferují lidé po­ skytování služeb veřejným sektorem nad soukromým. Jediným zajímavým zjištěním poněkud zbytné kapitoly je pak to, že u obyvatel nepřevládá důraz na efektivitu lokální samosprávy na úkor kvality demo­ kratických procedur. Editorům se povedlo odstranit celou řadu typických nedostatků pro meziná­ rodní projekty, ve kterých je zapojeno vel­ ké množství autorů. Přesto jednotlivé ka­ pitoly vykazují odlišnou kvalitu. U někte­ rých z nich byly vybrány případy účelo­ vě. V extrémním případě se nejednalo ani o komparativní analýzu, ale o deskripci zcela nesrovnatelných případů, kdy spolu­ autoři v závěru pouze uvedou deskriptivní shrnutí předchozích odstavců. Chybí syste­ matický přístup, který by umožnil vyvoze­ ní třeba i opatrných kauzálních závěrů. V tomto ohledu zůstal potenciál publikace nenaplněn. Vzhledem ke způsobu vzni­ ku této publikace by ale takové závěrečné zhodnocení nebylo spravedlivé. Jako celek je kniha velmi zajímavým dílem a svou kvalitou nijak nevybočuje od jiných edito­ vaných publikací série nebo dřívějších edi­ tovaných publikací série v nakladatelství Palgrave. Co říci závěrem? Kniha ukazuje, že neexistuje jednotný přístup k reformám a že neexistuje jednotný předpis na řešení důsledků všech krizí, kterým dnešní lokál­ ní samospráva čelí. Čtenář však může na­ lézt celou řadu inspirací nejen pro norma­ tivní debatu o tom, jak lépe reformovat lo­ kální samosprávu, ale i pro budoucí empi­ rický výzkum. Některé kapitoly přinesly zajímavé hypotézy a okrajově nastínily možné směry, kterými se otevírá prostor další analýzy. Jakub Lysek
Sub-Picosecond Jitter Clock Generation for Time Interleaved Analog to Digital Converter

Nowadays, Multi-GHz analog-to-digital converters (ADCs) are becoming more and more popular in radar systems, software-defined radio (SDR) and wideband communications, because they can realize much higher operation speed through using many interleaved sub-ADCs to relax ADC sampling rates. Although the time interleaved ADC has some issues such as gain mismatch, offset mismatch and timing skew between each ADC channel, these deterministic errors can be solved by previous works such as digital calibration technique. However, time-interleaved ADCs require a precise sample clock to achieve an acceptable effective-numberof-bits (ENOB) which can be degraded by jitter in the sample clock. The clock generation circuits presented in this work achieves sub-picosecond jitter performance in 180nm CMOS which is suitable for time-interleaved ADC. Two different test chips were fabricated in 180nm CMOS to investigate the low jitter design technique. The low jitter delay line in two chips were designed in two different ways, but both of them utilized the low jitter design technique. In first test chip, the measured RMS jitter is 0.1061ps for each delay stage. The second chip uses the proposed low jitter Delay-Locked Loop can work from 80MHz to 120MHz, which means it can provide the time interleaved ADC with 2.4GHz to 3.6GHz low jitter sample clock, the measured delay stage jitter performance in second test chip is 0.1085ps.
Conceptualizing the key features of cyber‐physical systems in a multi‐layered representation for safety and security analysis

Many safety‐related systems are evolving into cyber‐physical systems (CPSs), integrating information technologies in their control architectures and modifying the interactions among automation and human operators. Particularly, a promising potential exists for enhanced efficiency and safety in applications such as autonomous transportation systems, control systems in critical infrastructures, smart manufacturing and process plants, robotics, and smart medical devices, among others. However, the modern features of CPSs are ambiguous for system designers and risk analysts, especially considering the role of humans and the interactions between safety and security. The sources of safety risks are not restricted to accidental failures and errors anymore. Indeed, cybersecurity attacks can now cascade into safety risks leading to physical harm to the system and its environment. These new challenges demand system engineers and risk analysts to understand the security vulnerabilities existing in CPS features and their dependencies with physical processes. Therefore, this paper (a) examines the key features of CPSs and their relation with other system types; (b) defines the dependencies between levels of automation and human roles in CPSs from a systems engineering perspective; and (c) applies systems thinking to describe a multi‐layered diagrammatic representation of CPSs for combined safety and security risk analysis, demonstrating an application in the maritime sector to analyze an autonomous surface vehicle.
Temporal Coordination of Articulatory and Respiratory Events Prior to Speech Initiation

Pauses are acoustically silent intervals where speakers plan subsequent utterances on different levels (Krivokapic 2014). Planning on the phonetic level involves the articulatory movements towards the first segments. That means, some preparatory vocal tract activities, such as various tongue postures and lips position occur during speech preparation and they seem to be temporally organized with each other (Gick et al. 2004; Ramanarayanan et al. 2009, 2013; Rasskazova et al. 2018). Respiration has not been considered in this process so far, although it cannot be separated from articulation and so involved in the speech planning process. Although respiration is slower than oral articulation, both should be well timed with each other, particularly at the onset of speech. The aim of present study is to investigate the coordination of respiratory, acoustic and articulation events prior to the utterance begin. Furthermore, we explore if there is a coordination between exhalation onset and a specific phase of the articulatory gesture of an upcoming segment. For this purpose, 12 native speakers of German have been recorded with Electromagnetic Articulography and Inductance Plethysmography reading sentences that were controlled for length, stress of the first word and the initial segment. The results for six speakers so far indicate that the initiation of the first post-pausal segments starts during the final phase of the inhalation. The onset of expiration seems to be tightly coupled with the acoustic and the articulatory onset, particularly with nucleus onset phase of the alveolar articulator of the initial segment. The manner of articulation of the initial segment seems to affect the temporal organization of preparatory events. These results can be interpreted as evidence for a close coupling between respiration and oral action for gestural organization.
A Midwife Through the Dying Process: Stories of Healing and Hard Choices at the End of Life

Approximately two-thirds of deaths in the United States involve a doctor's partnership with an individual, whether it be for the administration of very high doses of pain relief or sedation, or for the act of discontinuing - or not beginning - life sustaining treatment. This work explores that partnership and the complex end of life issues that surround physician-assisted death. Here are the stories of nine individuals and their very different endings, common only in each person's struggle to confront issues of law and ethics and to realize a "good" death. Each story illustrates different aspects of the myriad dilemmmas commonly faced by dying patients, their families and physicians. Each involves a series of painful decisions that should help the reader understand how an individual's specific medical condition and unique history - personal values, and concepts of self, spirit and community - blend to suggest clinical choices that might otherwise seem difficult to understand. At the end of each narrative, the author explores the themes illustrated, highlighting the salient questions for physicians, and exposing readers to a coherent way of thinking about issues such as hospice care, withdrawal of life-sustaining therapy, terminal sedation and physician-assisted death. This text demonstrates the tension inherent between the fight for life and the mandate to relieve suffering.
cspy: A Python package with a collection of algorithms for the (Resource) Constrained Shortest Path problem

When solving the shortest path problem and considering multiple operational restrictions, one may resort to the (resource) constrained shortest path (CSP) problem. It consists, as its name suggests, in finding, among all paths, the shortest path from source to sink nodes that satisfies a set of constraints for a defined set of resources. Such set of resources and the way they evolve throughout the path are user defined and controlled. This allows the modelling of a wide variety of problems including: the vehicle routing problem with time windows, the technician routing and scheduling problem, the capacitated arc-routing problem, on-demand transportation systems, and, airport ground movement (Bode & Irnich, 2014; Chen, Weiszer, Stewart, & Shabani, 2016; Desrochers & Soumis, 1988; Feillet, Dejax, Gendreau, & Gueguen, 2004; Garaix, Artigues, Feillet, & Josselin, 2010; Irnich & Villeneuve, 2006; Righini & Salani, 2008; Tilk, Rothenbächer, Gschwind, & Irnich, 2017; Zamorano & Stolletz, 2017).
Invoice currency choice, nonlinearities and exchange rate pass-through

ABSTRACT Estimating time-varying thresholds as a proxy for exporter’s predicted exchange rates, this study proposes a new approach to analyse possible asymmetric behaviour of exchange rate pass-through (ERPT) or pricing-to-market (PTM) in Japanese exports between yen appreciation and depreciation periods. Constructing the industry-specific nominal effective exchange rate on a contract (invoice) currency basis, we perform the multivariate threshold near-vector autoregressive (near-MTVAR) estimation and reveal a strong tendency of symmetric ERPT in the short-run, between yen appreciation and depreciation periods. From the 2000s, however, Japanese machinery exporters increased the degree of PTM even in the long-run, while other industries raised the degree of long-run ERPT, reflecting the difference of product differentiation across industries. This evidence has significant implications for the recent unresponsiveness of the Japanese trade balance to the large depreciation of the yen.
Ionospheric echoes detection in digital ionograms using convolutional neural networks

—An ionogram is a graph that shows the distance that a vertically transmitted wave, of a given frequency, travels before returning to the earth. The ionogram is shaped by making a trace of this distance, which is called virtual height, against the frequency of the transmitted wave. Along with the echoes of the ionosphere, ionograms usually contain a large amount of noise of different nature, that must be removed in order to extract useful information. In the present work, we propose to use a convolutional neural network model to improve the quality of the information obtained from digital ionograms, compared to that using image processing and machine learning techniques, in the generation of electronic density proﬁles. A data set of more than 900,000 ionograms from 5 ionospheric observation stations is available to use.