Miracle-dz/UniFAR-FTUs huggingface dataset:
Love , attachment and effacement : Romantic dimensions in

This article examines seventeen children poems by Sylvia Plath written in the years 1960-63, in relation to the poetics of romantic love. Drawing on motherhood studies (Klein, 1975; O’Reilly, 2010; Rich, 1976; Winnicott, 1956, 1965, 1967), the maternal shift in psychoanalysis (see Bueskens, 2014: 3-6), and attachment theory (Bowlby, 1950, 1969, 1988), it reads love as a continuous human disposition, informed by one’s attachment history, and realized at different stages of one’s life (Hazan & Shaver, 1987). It specifically refers to Daniel Stern’s and Anthony Giddens’s largely overlapping concepts of maternal and romantic love to argue that Plath’s children poems are significantly infused with a poetics of romantic love. This poetics, however, becomes gradually compromised by a poetics of ambivalence, withdrawal, and self-effacement.
Measurement-based Optimal Power Flow with Linear Power-flow Constraint for DER Dispatch

This paper proposes a measurement-based method to obtain optimal power-flow (OPF) solutions that optimize distribution-system operations by dispatching active- and reactive-power outputs of distributed energy resources (DERs). Central to the proposed method is the estimation of a linear power-flow model from synchronized voltage and power-injection data collected from distribution-level phasor measurement units (D-PMUs). The estimated model is then incorporated into an OPF problem as an equality constraint. We formulate a quadratic cost function that enables co-optimization of DER active- and reactive-power costs, voltage deviations away from prescribed reference levels, as well as active- and reactive-power deviations from desired setpoints. Via numerical simulations of the IEEE 33-bus distribution test system, we demonstrate that the proposed measurement-based method yields sufficiently accurate solutions compared to model-based OPF solutions. Furthermore, we highlight the adaptability of the proposed method in case an accurate network model is not available.
Quantification of local blood flow characteristics in microfluidic applications

Advances in microfluidic applications have made it possible to design microsystems in which various processes, including diagnostics and fundamental research in biofluids, can be performed. In the majority of the studies the effect of red blood cell aggregation in blood flow characteristics has not received much attention and the relationship between the local microstructure and local flow characteristics has not been investigated extensively. In this work local velocity, local aggregation and local hematocrit of human red blood cells (RBC) have been simultaneously, resolved and quantified in a microchannel. The experimental system involved simple brightfield microscopy, a pressure driven microfluidic system, and RBCs suspended in Dextran and phosphate buffer saline solutions to control the aggregation intensity. Local aggregation characteristics were investigated at bulk and local levels using statistical and edge-detection image processing techniques. Aggregation intensity was found to strongly correlate with local variations in velocity in both the central and wall regions. The results suggest a combined effect of haematocrit and velocity distributions on local aggregation characteristics and showed that using multiple methods for aggregation quantification, could help towards a robust characterisation of the structural properties of the fluid.
Lecture 10 : Nearest Neighbor Search and Locality Sensitive Hashing

The most important complexity measures for this lecture are space complexity and query time – i.e. how much auxiliary space do we use on top of what’s required to store X and how fast can we find the nearest neighbor for a given query q. In general there will be a tradeoff here: larger space data structures allow for faster query time. Naively, if we just store our points in O(dn) space, our query time is linear in n (we need to scan through our entire database). Our goal will be to find a solution with o(n) query time. For example, when d = 1 the NNS problem can be solved using a binary search tree, which uses space O(n log n) and query time O(log n). Typically, however, we are interested in much higher dimensional data.
4 Building the brain in the dark : Functional and specific crossmodal reorganization in the occipital cortex of blind individuals

The brain has long been considered as being hard-wired in a predetermined manner shaped by evolution. This view has been challenged in the past decades by increasing evidence documenting the impressive capacity of the brain to be modulated through learning and experience, even well into adulthood. Pioneering studies of Hubel and Wiesel on the development of ocular dominance columns have compellingly demonstrated that alterations in visual experience can influence the normal development of the visual cortex (Hubel and Wiesel, 1963; Hubel, Wiesel and LeVay, 1977). One of the most striking demonstrations of experience-dependent plasticity comes from studies in congenitally blind individuals (CB) showing dramatic cortical reorganizations as a consequence of visual deprivation. Experiments have documented that cortical sensory maps in the remaining senses of CB can expand with experience. For instance, finger representation in the somatosensory cortex is increased in proficient Braille blind readers (Pascual-Leone et al., 1993; Sterr et al., 1999) and the tonotopic map in the auditory cortex is larger in visually deprived individuals (Elbert et al., 2002). Such cortical changes are thought to underlie enhanced reading abilities and auditory
Establishing Nutrient Efficient Hydroponic Protocol for Cowpea ( Vigna unguiculata L . Walp ) Evaluations at Seedling Stage

Hydroponic growth systems are a convenient platform for studying whole plant physiology. Major yield loss in cowpea (Vigna unguiculata) can be attributed to biotic and abiotic stresses. A cost effective and time saving screening protocol for cowpea abiotic stresses will enhance and expedite research on cowpea by breeders thereby enhancing its production and availability to meet increasing demand and population rise. Two nutrient formulations (NFZ1 and NFZ2) and a control were evaluated upon considerations of cowpea (16 varieties) growth requirement on soil. These treatments consisted of variations of the combinations of N-P-K fertilizers, FeSO4 and ZnSO4. Seedling biometrics after 30 days in hydroponics indicated that NFZ2 induced greater seedling performance than NFZ1. This increase in growth rate ranged from 12.83% to 65.24% adopting the NFZ2 protocol in slow and fast growing varieties, respectively with an average growth rate of 46.35%. Therefore, this protocol is recommended where fast screening for cowpea is desired in evaluations for breeding purposes.
From Sequence to Structure and Function with Entropy-Variability Plots

We introduce sequence entropy-variability plots as a method of analysing families of protein sequences, and demonstrate this for three well-known sequence families: globins, ras-like proteins, and serine-proteases. The location of an aligned residue position in the entropy versus variability plot correlates with structural characteristics, and with known facts about the roles of individual amino acids in the function of these proteins. The large numbers of known sequences in these families allowed us to introduce new filtering methods for variability patterns. The results are discussed in terms of a simple evolutionary model for functional proteins.
A Systematic Study on the Effects of Dimensional and Materials Tolerances on PM Synchronous Machines based on the IEEE Std 1812

In the process of designing and manufacturing an electrical machine, a systematic study of dimensional and material tolerances is of the utmost importance. This paper proposes a systematic method by which the effect of design specification variations on PM synchronous machine performance may be identified and quantified. The method combines design of experiments (DOE) techniques, open-circuit and short-circuit physical measurements and virtual test simulations conducted based on the recently approved IEEE Std 1812 testing guide. Three case studies, two provided by a spoke-type PM radial field machine configuration, in two designs with different electromagnetic loading, and an axial flux PM machine are discussed. It is shown that based on the output performance, out of specification tolerances for magnet remanence, steel grade, as well as dimensional variables, and stator to rotor eccentricity, may be identified under certain conditions. It is also exemplified that the ratings, magnetic loading, and configuration of the machine play critical roles and should be thoroughly considered as part of the studies.
Sound classification and localization in service robots with attention mechanisms

Human-machine interaction is calling for a sophisticated understanding of subjects’ behavior performed by smartphones, home automation and entertainment devices, and many service robots. During an interaction with human beings in their environment, a service robot has to be capable to perceive and process visual and sound information of the scene that he observes. To capture salient elements in such different signals many semi-supervised deep learning methods have been proposed. In this article, it is proposed a new convolutional neural network, endowed with a mechanism of attention in order not only to classify, but also to localize temporally a sound event, and in a semi-supervised way.
Neural Network-based Broadband Beamformer with Less Distortion

Beamforming has been one of the important issues in the field of multi-channel signal processing including acoustic signal processing. A wide variety of beamformers have been proposed for each application. In general, acoustic beamforming deals with broadband signals such as speech signals compared to narrowband beamforming for antenna array and radar applications. Recently, neural network-based non-linear beamformers become popular but have a problem that causes an annoying non-linear distortion on the output signal. In the case of speech enhancement, it is a serious problem because our auditory system is highly sensitive to artificial non-linear distortion on speech signals. This paper proposes to solve the problem with the relaxed dual cost functions in the neural network-based beamformer for speech enhancement. The primary cost function aims at sharpening the beam-pattern, and the second cost function is introduced to achieve decreasing speech distortion. Those cost functions are alternatively used for optimizing the beam-pattern in the frequency range of speech signals. The feasibility of the proposed method is confirmed by carrying out a listening test.
BIOLOGY: AN OLD PERSPECTIVE

The currently predominant scientific vision of the world originated in the "scientific revolution" begun in the XVI and XVII centuries by Copernicus, Galileo and Newton's theories. The technical and economic boom that prod uce the subsequent industrial revolution drove science towards a mechanistic, uti litarian approach to nature, the purpose of which was (and still is) to predict and control the studied phenomena.
Are SSRI Antidepressants Little More than Active Placebo? A Critical Exploration.

“I know that most men, including those at ease with problems of the greatest complexity, can seldom accept even the simplest and most obvious truth if it be such as would oblige them to admit the falsity of conclusions which they have delighted in explaining to colleagues, which they have proudly taught to others, and which they have woven, thread by thread, into the fabric of their lives. ” Leo Tolstoy
Biologically inspired autonomous underwater vehicle ( AUV ) for structural inspection and survey in coastal regions

Coastal and littoral assets need to be inspected for structural faults periodically, but this process is affected by difficult wave conditions close to the shore line. Typically manual inspection using boats is challenging closer to the shore where the draft is lesser. Automated robotic inspection using conventional propulsion techniques is also difficult as the power and manoeuvrability required to operate against rough wave action can be considerable. However, marine organisms are able to navigate and swim through such conditions and here we aim to learn from such natural mechanisms to improve the performance of robotic underwater vehicles for inspection and survey. This paper describes research on the development of a biologically inspired autonomous underwater vehicle for operation in near-shore marine locations. The design incorporates biomimetic biologically inspired propeller together with conventional rotary thrusters. Key parameters such as propulsive efficiency, cost of transport, manoeuvrability and the overall performance of the design are studied.Further development and suitability of such designs for on-field observatory missions is also discussed.
0 . 2 : 2 . Essential Cases in the Development of Public Health Ethics

While “public health” has been defined as what society does to “assure the conditions for people to be healthy” (Institute of Medicine 2003, xi), public health ethics is a “systematic process to clarify, prioritize , and justify possible courses of public health action based on ethical principles , values and beliefs of stakeholders , and scientific and other information ” (Schools of Public Health Application Service 2013). Despite several important characteristics that distinguish public health from clinical medicine, at its start public health ethics borrowed heavily from clinical ethics and research ethics (see Chap. 1). In the 1980s, with the onset of the AIDS epidemic and unprecedented advances in biomedicine, the inability of clinical ethics to accommodate the ethical challenges in public health from existing frameworks led pioneering ethicists to reframe and adapt clinical ethics from an individual and autonomy focused approach to one that better reflected the tension between individual rights and the health of a group or population (Bayer et al. 1986; Beauchamp 1988; Kass 2001; Childress et al. 2002; Upshur 2002). Others called for public health ethics to emphasize relational ethics and political philosophy (Jennings 2007). More recently, some authors have suggested outlining foundational values from which operating principles for public health ethics can be articulated only after careful consideration of the goals and purpose of public health. This approach would require us to establish a clear definition of the moral endeavor of public health as a field (Lee 2012) and construct an ethical framework stemming from the nature of it (Dawson 2011).
Reducing attendances and waits in emergency departments : a systematic review of present innovations

Reducing the waits in emergency departments is important for patients and is a government priority. In order to reduce waits the whole system must be considered. The flow of patients before arrival at the emergency department determines the workload of the department. The staffing, resources and systems within the emergency department are key to providing high quality timely care. The flow of patients after leaving the emergency department until their return home will determine whether they can be discharged from the department in a timely manner. Despite the present focus on emergency care in the NHS there have been no reviews of the literature to inform the present changes to reduce waits.
Attentional mechanisms in static and dynamic cocktail-party listening

Verbal communication often takes place in situations with several simultaneous speakers. This was coined by the term “cocktail-party problem” (1). These situations pose high demands on both the auditory system as well as cognitive capacity of the listener. Particularly attentional mechanisms appear to be crucial for cocktail-party listening: In a “static” situation the aim is to focus attention on one talker and to ignore the competing background (2). However, dividing and switching attention also play a role since the talker of interest may change dynamically from time to time in an unpredictable manner (3, 4, 5). Since both hearing and cognition typically decline with age (6) it is important to shed more light on attentional mechanisms associated with cocktail-party listening. Therefore, we investigated performance of young and older listeners in a static and a dynamic three-talker paradigm. Target sentences indicated by a particular call-sign were presented with (static situation) and without (dynamic situation) a priori knowledge about the talker of interest. Different types and probabilities of switching were considered in the dynamic situation. In the static situation all listeners performed at a very high level. Hence, robust cues for auditory streaming – such as voice and location of the talker were given in the multitalker paradigm. In the dynamic condition performance dropped significantly, even when target talker switches occurred only rarely. However, the two age groups performed relatively similarly, at least when older participants with good hearing and good cognitive abilities were taken into account. The presentation disentangles different attentional mechanisms, such as focused attention in the static situation and dividing and switching attention in the dynamic situation.
NETWORK GROUP DISCOVERY BY HIERARCHICAL LABEL PROPAGATION

Complex real-world networks often reveal characteristic groups of nodes with common linking pattern. Besides densely linked groups known as communities, networks also consist of groups of structurally equivalent nodes denoted modules, and different mixtures of these, with core/periphery and hub & spokes structures as special cases. These are of value in various applications, especially in large social and information networks. However, despite an outburst of community detection algorithms in the last decade, approaches for other groups of nodes are relatively rare and often limited. We here present a hierarchical label propagation algorithm (HPA) proposed in [1] for general group detection. The algorithm requires no apriori knowledge and has near ideal complexity, while the main novelty is that groups are revealed through an adequate hierarchical refinement that enables straightforward discovery of different types of groups. Fig. 1 demonstrates the benefits of a general group detection approach like HPA. We apply the algorithm to a famous social network that represents matches played among US college football teams in the 2000 season [2]. The network has been of considerable interest in the past literature, since it reveals clear communities that coincide with the division into conferences. Revealed group hierarchy in Fig. 1b indeed contains communities on higher levels, however, several of these are further refined into well defined configurations of modules on lower levels. For instance, group of nodes at the top of Fig. 1a is in fact a complete multi-partite graph on ten nodes. Whether the particular group hierarchy would be of any interest in practical applications remains unclear, still, most of the groups present would remain overlooked under the standard community framework. HPA is validated on various synthetic and real-world networks, and rigorously compared against a larger number of state-of-the-
RADÓ KÖVESLIGETHY'S SPECTROSCOPIC WORK

Kirchhoff and Bunsen's revolutionary discovery of spectral analysis in 1859 showed that observation of spectra made it possible to study the chemical composition of emitting bodies. Thermodynamics predicted the existence of black body radiation. The first successful spectral equation of black body radiation was the theory of continuous spectra of celestial bodies by Radó von Kövesligethy (published in 1885 in Hungarian, in 1890 in German). Kövesligethy made several assumptions on the matter-radiation interaction. Based on these assumptions, he derived a spectral equation with the following properties: the spectral distribution of radiation depended only on the temperature, the total irradiated energy was finite (fifteen years before Planck! ) and the wavelength of the intensity maximum was inversely proportional to the temperature (eight years before Wien! ). Using his spectral equation, he estimated the temperature of several celestial bodies, including the Sun. As a byproduct he developed a theory of spectroscopic instruments. He presented a comprehensive discussion on the quantitative relationship between astrophysical spectra and the observer, equipped with some kind of instrument (telescope, spectrograph, detector, etc.). We briefly summarize his main results.
Melanocortins: Anti-Inflammatory and Neuroprotective Peptides

The melanocortin system includes the melanocortins, their receptors and two endogenous antagonists. This system is involved in several physiological processes in the brain. Melanocortins have potent anti-inflammatory and neuroprotective effects in the central nervous system (CNS). Therefore, they are suitable candidates for the treatment of inflammatory and neurodegenerative disorders within the brain.
When Certificate Transparency Is Too Transparent: Analyzing Information Leakage in HTTPS Domain Names

Certificate Transparency (CT) is a recent initiative to log all publicly available certificates, thereby adding an extra layer of accountability and auditability to certificate authorities. Unbeknownst to most users and website administrators, CT logs make all data in all certificates available publicly and permanently. Although certificates are ostensibly intended to be public (after all, their main purpose is to convey an entity's public key), administrators may inadvertently include information that can be mined by anyone. For instance, CT logs contain certificates for subdomains, which naturally facilitates subdomain enumeration. This paper asks: is there other, more sensitive information included in certificates? We identify several types of user and enterprise information embedded within the domain names of certificates in CT logs. We provide queries for obtaining information such as users' names, usernames, and email addresses. We also find that CT logs can leak private enterprise information, such as business relationships, user growth measurements, and the existence of internal projects prior to their public announcements. We report initial results on how often and across how many domains information is leaked. Finally, we discuss areas of future work and potential countermeasures that administrators can take.