Miracle-dz/UniFAR-FTUs huggingface dataset:
Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings

In a traditional setting, classifiers are trained to approximate a target function $f:X \rightarrow Y$ where at least a sample for each $y \in Y$ is presented to the training algorithm. In a zero-shot setting we have a subset of the labels $\hat{Y} \subset Y$ for which we do not observe any corresponding training instance. Still, the function $f$ that we train must be able to correctly assign labels also on $\hat{Y}$. In practice, zero-shot problems are very important especially when the label set is large and the cost of editorially label samples for all possible values in the label set might be prohibitively high. Most recent approaches to zero-shot learning are based on finding and exploiting relationships between labels using semantic embeddings. We show in this paper that semantic embeddings, despite being very good at capturing relationships between labels, are not very good at capturing the relationships among labels in a data-dependent manner. For this reason, we propose a novel two-step process for learning a zero-shot classifier. In the first step, we learn what we call a \emph{property embedding space} capturing the "\emph{learnable}" features of the label set. Then, we exploit the learned properties in order to reduce the generalization error for a linear nearest neighbor-based classifier.
Monoclonal antibodies which distinguish certain classes of neuronal and supporting cells in the nervous tissue of the nematode Caenorhabditis elegans

Monoclonal antibodies were generated using mice immunized with total homogenates of Caenorhabditis elegans adults or early larvae. Two of them were shown to distinguish a certain class of neuronal or supporting cells in the nervous tissue of this animal. Their histological specificities were studied in detail by indirect immunofluorescence on a whole mount preparation of animal head (or tail); for one of the antibodies further analysis was done by immunoelectron microscopy with the aid of a colloidal gold probe. An application of this antibody to a mutant of C. elegans is also described.
Costs and quality of life of patients with ankylosing spondylitis in Hong Kong.

OBJECTIVES To assess the annual direct, indirect and total societal costs, quality of life (QoL) of AS in a Chinese population in Hong Kong and determine the cost determinants. METHODS A retrospective, non-randomized, cross-sectional study was performed in a cohort of 145 patients with AS in Hong Kong. Participants completed questionnaires on sociodemographics, work status and out-of-pocket expenses. Health resources consumption was recorded by chart review. Functional impairment and disease activity were measured using the Bath Ankylosing Spondylitis Functional Index (BASFI) and the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), respectively. Patients' QoL was assessed using the Short Form-36 (SF-36). RESULTS The mean age of the patients was 40 yrs with mean disease duration of 10 yrs. The mean BASDAI score was 4.7 and BASFI score was 3.3. Annual total costs averaged USD 9120. Direct costs accounted for 38% of the total costs while indirect costs accounted for 62%. Costs of technical examinations represented the largest proportion of total cost. Patients with AS reported significantly impaired QoL. Functional impairment became the major cost driver of direct costs and total costs. CONCLUSION There is a substantial societal cost related to the treatment of AS in Hong Kong. Functional impairment is the most important cost driver. Treatments that reduce functional impairment may be effective to decrease the costs of AS and improve the patient's QoL, and ease the pressure on the healthcare system.
Synergic comanipulation despite underactuated robot

The possibility to provide an adequate task assistance using underactuated robots for human-robot tool comanipulation is investigated. This novel approach does not take into account any a priori knowledge about user depending parameters however optimizes the robot-user synergy, for instance during US breast examinations. Results show that the examination time can be reduced and a tendency for increasing scanning accuracy using underactuated robots.
Morphological and Taxonomic Properties of Tokyovirus, the First Marseilleviridae Member Isolated from Japan

Members of the Marseilleviridae family are large DNA viruses with icosahedral particle structures that infect Acanthamoeba cells. The first Marseillevirus to be discovered was isolated in 2009. Since then, several other members of the Marseilleviridae family have been reported, including Lausannevirus, Senegalvirus, Cannes 8 virus, Insectomime virus, Tunisvirus, Melbournevirus, Port-Miou virus, and Brazilian Marseillevirus, which have been isolated from Europe, Africa, Australia, and South America. The morphological and genomic properties of a new Marseilleviridae family member, Tokyovirus, discovered in a water/soil sample from a Japanese river in Tokyo, were described in the present study. Tokyovirus possesses icosahedral particles of up to 200 nm in diameter, as revealed by a transmission electron microscopy (TEM) analysis, which form a giant virion factory in Acanthamoeba cells. A preliminary genome analysis predicted 487 coding sequences. A dot plot analysis and phylogenetic analysis using family B DNA polymerase, proliferating cell nuclear antigen (PCNA), and DNA-directed RNA polymerase alpha subunit genes revealed that Tokyovirus shares similarities with Marseillevirus, Melbournevirus, and Cannes 8 virus (Marseilleviridae subclade A), but not with Lausannevirus and Port-Miou virus (subclade B), Tunisvirus and Insectomime virus (subclade C), or Brazilian Marseillevirus (subclade D), suggesting that Tokyovirus has evolved separately from the previously described Marseilleviridae members.
Enhanced lifetime maximization algorithm for wireless sensor network

One of the most significant issues in wireless sensor networks is the limited source of energy that sensors are supplied with. Since network lifetime has a direct relationship with the energy of the nodes, it would be important to efficiently manage the energy consumption of the nodes. To this end, a number of energy aware routing algorithms have been proposed in the literature to increase network lifetime. These routing algorithms usually try to find the path with minimum energy usage. However, using these paths for a long time may result in rapid energy depletion of some nodes. To overcome this problem, we propose a new routing algorithm with three different versions which uses load balancing technique by selecting the paths with maximum normalized energy in each transmission round.
caos software for use in character‐based DNA barcoding

The success of character‐based DNA barcoding depends on the efficient identification of diagnostic character states from molecular sequences that have been organized hierarchically (e.g. according to phylogenetic methods). Similarly, the reliability of these identified diagnostic character states must be assessed according to their ability to diagnose new sequences. Here, a set of software tools is presented that implement the previously described Characteristic Attribute Organization System for both diagnostic identification and diagnostic‐based classification. The software is publicly available from http://sarkarlab.mbl. edu/CAOS.
Performance Measurement System Design in a Semiconductor Supply Chain Organization

This thesis proposes a methodology to create an effective performance measurement system for an interconnected organization. The performance measurement system is composed of three components: a metrics set, a metrics review business process, and a dashboard visualization technique to display the metrics data. If designed according to the proposed methodology, the combination of these three elements produces a performance measurement system which drives behavior, creates accountability, and fosters continuous organizational improvement. The proposed methodology has been demonstrated by its application to a manufacturing planning organization within a major semiconductor company. Specifically, the performance measurement system of this manufacturing planning organization was redesigned using the proposed methodology and pilot-tested over the course of a six-month internship. First, the metrics set was redesigned based on alignment to strategic objectives and grounded in metrics design fundamentals. Second, the business process to review the organization‟s metrics and spur action was streamlined and redesigned for maximum impact and stakeholder engagement. Finally, a visualization dashboard was created to communicate key metrics clearly and graphically to all members of the organization. The proposed performance measurement system demonstrates the effectiveness of the proposed methodology and has been adopted as the system-on-record for the organization. Thesis Supervisor: Deborah Nightingale Title: Professor of the Practice, Aeronautics and Astronautics and Engineering Systems Thesis Supervisor: Ricardo Valerdi Title: Lecturer, Engineering Systems
DINAMIKA RESILIENSI REMAJA DENGAN KELUARGA BROKEN HOME

Penelitian ini bertujuan untuk mengetahui gambaran dinamika resiliensi remaja dengan keluarga broken home . Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus, responden utama dalam penelitian ini sebanyak dua orang dengan karateristik sebagai berikut : orang tua kandung bercerai serta ayah menikah lagi sebanyak 3 kali dan pertengkaran orang tua yang terus-menerus sehingga memberikan dampak yang negatif pada remaja. Hasil penelitian menunjukkan bahwa responden memperlihatkan dinamika resiliensi cenderung sama, yaitu terbentuknya kemampuan resiliensi berdasarkan proses belajar individu dari permasalahan yang dihadapi, kemampuan individu untuk melakukan evaluasi setiap tindakan yang dilakukan dan segi spritual yaitu mendekatkan diri kepada Tuhan sehingga menjadikan nilai-nilai agama sebagai pedoman kehidupan. Sementara itu subyek yang memiliki kemampuan optimis dan efikasi diri yang belum baik, hal ini disebabkan proses belajar individu untuk menghadapi permasalahan yang masih berkembang, ketakutan individu mengenai pengalamannya tentang keluarga broken home menyebabkan kesulitan individu untuk memiliki kemampuan optimisme dan efikasi dengan baik, hal ini menyebabkan remaja cenderung ragu-ragu dengan kemampuan dirinya, berpikir bahwa permasalahan yang dihadapinya akan terjadi hingga di masa depan.
THE RADIO AGN POPULATION DICHOTOMY: GREEN VALLEY SEYFERTS VERSUS RED SEQUENCE LOW-EXCITATION ACTIVE GALACTIC NUCLEI

Radio outflows of active galactic nuclei (AGNs) are invoked in cosmological models as a key feedback mechanism in the latest phases of massive galaxy formation. Recently, it has been suggested that the two major radio AGN populations—the powerful high-excitation, and the weak low-excitation radio AGNs (HERAGN and LERAGN, respectively)—represent two earlier and later stages of massive galaxy buildup. To test this, here we make use of a local (0.04 < z < 0.1) sample of ∼500 radio AGNs with available optical spectroscopy, drawn from the FIRST, NVSS, SDSS, and 3CRR surveys. A clear dichotomy is found between the properties of low-excitation (absorption line AGN and LINERs) and high-excitation (Seyferts) radio AGNs. The hosts of the first have the highest stellar masses, reddest optical colors, and highest mass black holes but accrete inefficiently (at low rates). On the other hand, the high-excitation radio AGNs have lower stellar masses, bluer optical colors (consistent with the “green valley”), and lower mass black holes that accrete efficiently (at high rates). Such properties can be explained if these two radio AGN populations represent different stages in the formation of massive galaxies, and thus are also linked to different phases of the “AGN feedback. ”
An Insight in Key Volatile Compounds in Goat Milk Based on their Odor Active Values

Goat milk is known to possess an off-flavor generally known as ‘goaty flavor’, which is not appreciated by consumers. Mostly the short-chain fatty acids are responsible for this undesirable sensory attribute. The objective of the present work was to identify the volatile compounds present in goat milk and to relate their impact on aroma characteristics. Volatile compounds from the milk were obtained by using a simultaneous distillation and extraction technique utilizing Likens and Nickerson’s apparatus. Two hundred milliliter of milk was used and extraction was carried out at 55°C for 120 min by using a mixture of pentane-ethyl ether (2:1) solvent. The extracts were concentrated and analyzed for the identification of volatile compounds using a system of high resolution gas chromatograph coupled with mass spectrometer. Better separation was achieved in a non-polar capillary column. A total of 91 volatile compounds were positively identified and these represented mostly the classes of compounds belonging to esters, aldehydes, alcohols, fatty acids, ketones and aromatics. The main compounds and their concentrations were hexanol (9481.92 µg/L), pentanoic acid (3040.08 µg/L), 2-pentanone (1651.03 µg/L), methyl 9-octadecenoate (1613.88 µg/L), methyl hexadecanoate (1060.61 µg/L) and 2-pentanol (1683.28 µg/L), while the compounds with their OAVs of 5 and higher that contribute in goat milk aroma were decanal (88), (E)-2-hexenal (72), hexanol (47), octanal (40), ethyl hexanoate (35), pentanal (34), nonanal (30), 2-pentanone (24), heptanal (23), methyl hexanoate (20), γ-dodecalactone (11), 2-heptanone (10), heptanol (9), ethyl octanoate (9), 2-pentadecanone (9), β-ionone (8), α-pinene (5), 2-methylthiophene (5), octadecanal (5).
Sclera recognition using dense-SIFT

In this paper we propose a biometric sclera recognition and validation system. Here the sclera segmentation is performed bya time-adaptive active contour-based region growing technique. The sclera vessels are not prominent so image enhancement is required and hence a bank of 2D decomposition. A Haar wavelet multi-resolution filter is used to enhance the vessels pattern for better accuracy. For feature extraction, Dense Scale Invariant Feature Transform (D-SIFT) is used. D-SIFT patch descriptors of each training image are used to form bag of features by using k-means clustering and a spatial pyramid model, which is used to produce the training model. Support Vector Machines (SVMs) are used for classification. The UBIRIS version 1 dataset is used here for experimentation. Anencouraging Equal Error Rate (EER) of 0.66% is attained in the experiments presented.
Silent Leaders in the Workplace: Forms of Leadership Silence, Attributions of Leadership Silence, and Accuracy of Attributions

Building upon the extant leadership research, we explore the phenomenon of leaders’ intentionally withholding of relevant information to subordinates. In particular, we conceptualize leadership silence and propose three distinct forms of leadership silence, including safeguarding silence, undermining silence, and disengaging silence. We also incorporate attribution theory and show how subordinates pinpoint the causes of leadership silence. We then discuss the accuracy of subordinates’ attributions of leadership silence. Finally, we present the theoretical contributions and managerial implications.
Blockade of Kv1.3 Potassium Channels Inhibits Differentiation and Granzyme B Secretion of Human CD8+ T Effector Memory Lymphocytes

Increased expression of the voltage-gated potassium channel Kν1. 3 on activated effector memory T cells (TEM) is associated with pathology in multiple sclerosis (MS). To date, most studies of Kν1. 3 channels in MS have focused on CD4+ TEM cells. Much less is known about the functional relevance of Kv1.3 on CD8+ TEM cells. Herein, we examined the effects of Kν1. 3 blockade on CD8+ T cell proliferation, differentiation into cytotoxic effector cells, and release of granzyme B (GrB), a key effector of CD8+ T cell-mediated cytotoxicity. We confirmed the expression of Kv1.3 channels on activated human CD8+ T lymphocytes by immunofluorescent staining. To test the functional relevance of the Kv1.3 channel in CD8+ T cells, we inhibited this channel via pharmacological blockers or a lentiviral-dominant negative (Kv1.xDN) approach and determined the effects of the blockade on critical pathogenic parameters of CD8+ T cells. We found that blockade of Kv1.3 with both lentivirus and pharmacologic agents effectively inhibited cytotoxic effector memory cells’ proliferation, secretion of GrB, and their ability to kill neural progenitor cells. Intriguingly, the KvDN transduced T cells exhibited arrested differentiation from central memory (TCM) to effector memory (TEM) states. Transduction of cells that had already differentiated into TEM with KvDN led to their conversion into TCM. CD8+ TEM have a critical role in MS and other autoimmune diseases. Our present results indicate a critical role for Kv1.3 in the conversion of CD8+ T cells into potential pathogenic effector cells with cytotoxic function.
Towards robots that trust: Human subject validation of the situational conditions for trust

This article investigates the challenge of developing a robot capable of determining if a social situation demands trust. Solving this challenge may allow a robot to react when a person over or under trusts the system. Prior work in this area has focused on understanding the factors that influence a person’s trust of a robot (Hancock, et al., 2011). In contrast, by using game-theoretic representations to frame the problem, we are able to develop a set of conditions for determining if an interactive situation demands trust. In two separate experiments, human subjects were asked to evaluate either written narratives or mazes in terms of whether or not they require trust. The results indicate a ϕ1= +0.592 and ϕ2 = +0.406 correlation respectively between the subjects’ evaluations and the condition’s predictions. This is a strong correlation for a study involving human subjects.
Performance of illiterate and literate nondemented elderly subjects in two tests of long-term memory

Cognitive evaluation in developing countries is a difficult undertaking due to low levels of schooling and particularly the illiteracy still frequent in the elderly. This study was part of the epidemiologic evaluation of dementia in Catanduva, Brazil, and had the objective of comparing the performance of illiterate and literate nondemented elderly individuals in 2 tests of long-term memory—the delayed recall of a word list from the CERAD and the delayed recall of common objects presented as simple drawings from the Brief Cognitive Screening Battery (BCSB). Fifty-one elderly subjects (23 illiterates) were evaluated, and the performance of the illiterates and literates differed in the CERAD memory test, but not in the BCSB memory test. This test may be more suitable for the assessment of long-term memory in populations with a high frequency of illiterates, and therefore might prove to be a useful screening tool for the diagnosis of dementia. (JINS, 2004, 10, 634–638.)
Please Scroll down for Article Social Neuroscience Modulation of Cortical Midline Structures by Implicit and Explicit Self-relevance Evaluation Modulation of Cortical Midline Structures by Implicit and Explicit Self-relevance Evaluation

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Recent neuroimaging work has observed activity in cortical midline structures (CMS) such as medial prefrontal and posterior cingulate cortices during self-referential processing. Moreover, items rated as self-relevant produce increased activity in these regions relative to items that are deemed not self-relevant. A common thread among previous reports has been reliance on experimental tasks that encourage or require online self-referential processing. In this paper, we report findings from two experiments that manipulated requirements for self-reflection. In Experiment 1, subjects rated trait adjectives for social desirability and for self-relevance. Results revealed increasing activity in CMS with increasing self-relevance, but only during explicit ratings of self-relevance. In Experiment 2, we examined CMS activity during passive viewing of personal semantic facts (such as subjects' own first names). Taken together, these results suggest that highly self-relevant information captures attention through neural mechanisms that are comparable to those engaged during explicit self-reflection, namely via recruitment of CMS structures.
Detection of human enterovirus 71 and coxsackievirus A16 in children with hand, foot and mouth disease in China

The aims of the present study were to investigate the genetic characteristics of enterovirus 71 (EV71) and coxsackievirus A16 (CVA16) strains in China and to evaluate the relationship between the genotypes of CVA16 and EV71 and their geographical distribution. A total of 399 stool specimens were collected from children with symptoms of hand, foot and mouth disease (HFMD) in Zhejiang Province. The presence of enteroviruses was determined using reverse transcription-semi-nested PCR targeted to the VP1 gene of all human enteroviruses and DNA sequencing. EV71 and CVA16, the major etiological agents of HFMD, were detected in 38.4% (38/99) and 35.4% (35/99) of HEV-A species-positive cases, respectively. Based on the phylogenetic analysis of the VP1 gene, EV71 strains identified in this study belong to subgenotype C4, and CVA16 strains herein were classified into clusters B2a and B2b within the genotype B2. Taking into consideration other published data, we conclude that the genetic characteristics of enteroviruses in China reflect the pattern of the endemic circulation of the subgenotype C4 to EV71 and clusters B2a and B2b within genotype B2 to CVA16, which have been continuously circulating in China since 1997. This observation indicates that the genetic characteristics of enteroviruses in China seem to depend on their special geographical and climatical features allowing them to be sustained with little external effect.
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

Cross-domain synthesizing realistic faces to learn deep models has attracted increasing attention for facial expression analysis as it helps to improve the performance of expression recognition accuracy despite having small number of real training images. However, learning from synthetic face images can be problematic due to the distribution discrepancy between low-quality synthetic images and real face images and may not achieve the desired performance when the learned model applies to real world scenarios. To this end, we propose a new attribute guided face image synthesis to perform a translation between multiple image domains using a single model. In addition, we adopt the proposed model to learn from synthetic faces by matching the feature distributions between different domains while preserving each domain’s characteristics. We evaluate the effectiveness of the proposed approach on several face datasets on generating realistic face images. We demonstrate that the expression recognition performance can be enhanced by benefiting from our face synthesis model. Moreover, we also conduct experiments on a near-infrared dataset containing facial expression videos of drivers to assess the performance using in-the-wild data for driver emotion recognition.