Miracle-dz/UniFAR-FTUs huggingface dataset:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications

The third International Workshop on Heterogeneous Information Network Analysis and Applications is held in Beijing, China on November 3, 2019 and is co-located with the 28th International Conference on Information and Knowledge Management. The goal of this workshop is to bring together people from these different areas and provide an opportunity for researchers and practitioners to share new techniques for identifying and analyzing relationships in networks that integrate multiple types or sources of information. This workshop has an exciting program that spans a number of subareas, including: network construction and mining, network embedding, information diffusion, knowledge graph analysis, community detection, parallel computing for network analysis, and network analysis applications. The program includes several invited speakers, lively discussion on emerging topics, and presentations of accepted original research papers.
Significance for Human Health of Increasing n-3PUFA Content in Pork

Evidence for the health-promoting effects of food rich in n-3 fatty acids (n-3 PUFA) is reviewed. Pork is an important meat source for humans. According to a report by the USDA (http://www.ers.usda.gov/topics), the pork consumption worldwild in 2011 was about 79.3 million tons, much higher than that of beef (48.2 million tons), Pork also contains high levels of unsaturated fatty acids relative to ruminant meats (Enser et al, 1996). The available literature indicates that the levels of eicosatetraenoic (EPA) and docosahexaenoic (DHA) in pork may be increased, by fish-derived or linseed products, the extent to which being dependent on the nature of the supplementation. Transgenic pigs and plants show promise with high content of n-3 PUFA Corresponding author. Address: Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, P. R.China. E-mail: jiangz41@163.com. D ow nl oa de d by [ U ni ve rs ity o f C al if or ni a, S an D ie go ] at 1 6: 57 0 3 N ov em be r 20 15
The effect of short term treatment with ivermectin on the oxidative stress parameters in the tissues of Clarias gariepinus (Burchell, 1822), juvenile

The effect of short term treatments with ivermectin on the oxidative stress parameters in the tissues of Clarias gariepinus juveniles was studied between July and September 2015. Three hundred healthy juveniles of fresh water African catfish, Clarias gariepinus were used for the study. The present study investigated the behavioural responses, lethal concentration of ivermectin and the effect of sublethal concentrations on lipid peroxidation, antioxidant parameters and acute toxicity in the tissue of C. gariepinus. All animals were divided into 7 groups: Gp 1 (Tap water) served as the untreated control (0) while groups 2- 7 were treated with graded levels of ivermetin 0.15, 0.30, 0.45, 0.60, 0.75, 0.90mg/l body weight and was done for 28 days. The percentage mortality increased as the concentrations increased. The 24, 48, 72 and 96h Lc50 of ivermectin were: 0.75, 0.62, 0.45, 0.38mg/L respectively indicating four groups. The tissues of fish were exposed to various sublethal levels of ivermectin. Catalase, lipid peroxidation, glutathione peroxidase and glutathione reductase, superoxide dismutase activities of liver, and gill was highest in the control when compared to other groups.
Empirical Goodwill Research: Insights, Issues, and Implications for Standard Setting and Future Research

This paper reviews the empirical literature on the determinants and decision usefulness of goodwill reporting. We structure our discussion around five guiding questions that reflect longstanding policy issues: recognition, initial and subsequent measurement, disclosure, and the role of governance and monitoring. In addition to summarizing the findings, we assess the validity of the evidence. Our review indicates that goodwill amounts, on average, are associated with the underlying economics of the combining firms but are also shaped by managerial incentives and institutional context. Empirical research does not allow us to conclude whether current goodwill accounting rules provide for an optimal degree of discretion. Nonetheless, our analysis yields a number of policy implications and research suggestions. In addition to pointing out new research questions that could be addressed by further archival research, we advocate reproduction studies to test the generalizability of existing findings across contexts, and we encourage standard setters to initiate quasi-experiments to generate causal evidence and to render policymaking more accountable. We further suggest that researchers make more use of behavioral theories and non-archival methods to elucidate the motives and interactions of decision-makers in goodwill accounting.
An Active Contour Method Based on Regularized Kernel Fuzzy C-Means Clustering

This research presents hybrid level set evolution for complex and inhomogeneous image segmentation. Firstly, we develop an adaptive force with level set evolution, which is driven by region information. Adaptive force is produced by consolidating local and global force terms in an altered fashion. Besides, to avoid local fitting terms being stuck into a local minimum, we use the swap function to interchange the fitting terms so that fitting values inside the object are always higher. Later for the elimination of the costly contour initialization that existed in previous level set based evolutions, we integrate kernel based fuzzy c-means clustering and intensity-based thresholding framework with the proposed framework to automate the proposed strategy. Finally, for the level set function regularization and the for the elimination of its re- initialization we have used the Gaussian function in the level set evolution. We demonstrate the results on some complex images to show the strong and exact segmentation results that are conceivable with this new class of adaptive active contour model. We have additionally performed statistical analysis on real images and BRATS dataset using Dice index, accuracy, sensitivity, specificity and Jaccard index metrics. Results show that the proposed method gets high Dice index, accuracy, sensitivity, specificity and Jaccard index values compared to the previous state of art methods.
Quantifying Phosphorus and Water Demand to Attain Maximum Growth of Solanum tuberosum in a CO2-Enriched Environment

Growth promotion by ambient CO2 enrichment may be advantageous for crop growth but this may be influenced by soil nutrient availability. Therefore, we quantified potato (Solanum tuberosum L.) growth responses to phosphorus (P) supply under ambient (a[CO2]) and elevated (doubled) CO2 concentration (e[CO2]). A pot experiment was conducted in controlled-environment chambers with a[CO2] and e[CO2] combined with six P supply rates. We obtained response curves of biomass against P supply rates under a[CO2] and e[CO2] (R2 = 0.996 and R2 = 0.992, respectively). A strong interaction between [CO2] and P was found. Overall, e[CO2] enhanced maximum biomass accumulation (1.5-fold) and water-use efficiency (WUE) (1.5-fold), but not total water use. To reach these maxima, minimum P supply rate at both [CO2] conditions was similar. Foliar critical P concentration (i.e., minimum [P] to reach 90% of maximum growth) was also similar at nearly 110 mg P m−2. Doubling [CO2] did not increase P and water demand of potato plants, thus enabling the promotion of maximum growth without additional P or water supply, but via a significant increase in WUE (9.6 g biomass kg−1 water transpired), presumably owing to the interaction between CO2 and P.
Conditioning Perspectives for Primary Immunodeficiency Stem Cell Transplants

The majority of children undergoing Hematopoietic Stem cell Transplantation (HSCT) require conditioning therapy to make space and prevent rejection of the donor stem cells. The exception is certain children with Severe Combined immune deficiency, who have limited or no ability to reject the donor graft. Transplant conditioning is associated with significant morbidity and mortality from both direct toxic effects of chemotherapy as well as opportunistic infections associated with profound immunosuppression. The ultimate goal of transplant practice is to achieve sufficient engraftment of donor cells to correct the underlying disease with minimal short- and long-term toxicity to the recipient. Traditional combinations, such as busulfan and cyclophosphamide, achieve a high rate of full donor engraftment, but are associated with significant acute transplant-related-mortality and late effects such as infertility. Less “intensive” approaches, such as combinations of treosulfan or melphalan with fludarabine, are less toxic, but may be associated with rejection or low level chimerism requiring the need for re-transplantation. The major benefit of these novel approaches, however, which we hope will be realized in the decades to come, may be the preservation of fertility. Future approaches look to replace chemotherapy with non-toxic antibody conditioning. The lessons learnt in refining conditioning for HSCT are likely to be equally applicable to gene therapy protocols for the same diseases.
The Comparison of CSN2 (rs43703011) Beta-Casein Gene Options Frequencies in Different Breeds of Ukraine Cows and the Prospect of Creating Herds with the A2/А2 Genotype

Using real-time polymerase chain reaction methods, we have researched the CSN2 polymorphism (GenBank M55158; SNP rs43703011) gene in 4 breeds of cows in the North-East of Ukraine. The observed distributions of genotype frequencies А1/А1, А1/А2, А2/А2 and A1 or A2 alleles varies considerably in different cattle breeds: Lebedyn cattle - 14.6%, 31.7%, 53.7% (0.3 and 0.7); Ukrainian brown dairy breed - 6.8%, 43.2%, 50% (0.28 та 0.72); Simmental cattle - 7.3%, 51.2%, 41.5% (0.33 and 0.67); Ukrainian black speckled milky – 38.5%, 34.6%, 26.9% (0.56 та 0.44). The ratio of genotypes and alleles were found significant differences when comparing Lebedyn cattle and Simmental cattle (р=0.01), Lebedyn cattle and Ukrainian black speckled milky (р<0.0001), Lebedyn cattle compared to all other breeds (р=0.04), Ukrainian brown dairy breed and Ukrainian black speckled milky (р<0.0001), Ukrainian brown dairy breed compared to all other Ukrainian breeds (р=0.008); Simmental cattle and Ukrainian black speckled milky (р<0.0001), Simmental cattle (р=0.002) and Ukrainian black speckled milky (р<0.0001) to all other breeds. The obtained results indicate the prospects of breeding work to create herds with genotype A2/A2 animals - specifically with the Lebedyn cattle.
Using time-limited pulses in a combined PAM-OMM system over band-limited channels

Practicalcommunication systems use finite duration pulses. As the time-limited pulses have infinite bandwidth, they lose some of their energy when passed through a band-limited channel and their support in time becomes infinite. We derive the achievable rates when using $T$ -seconds time-limited pulses in a combined PAM-OMM system over a $W$ -Hz band-limited Gaussian channel, and we numerically evaluate them. We show that these rates depend on the time-frequency factor $c=2WT$. When $c \geq 1$ the loss of energy has no significant effect and the achievable rates are arbitrarily close to the channel capacity. Furthermore, we establish that there are at most 2WT independent data symbols.
Diverse Neuron Properties and Complex Network Dynamics in the Cerebellar Cortical Inhibitory Circuit

Neuronal inhibition can be defined as a spatiotemporal restriction or suppression of local microcircuit activity. The importance of inhibition relies in its fundamental role in shaping signal processing in single neurons and neuronal circuits. In this context, the activity of inhibitory interneurons proved the key to endow networks with complex computational and dynamic properties. In the last 50 years, the prevailing view on the functional role of cerebellar cortical inhibitory circuits was that excitatory and inhibitory inputs sum spatially and temporally in order to determine the motor output through Purkinje cells (PCs). Consequently, cerebellar inhibition has traditionally been conceived in terms of restricting or blocking excitation. This assumption has been challenged, in particular in the cerebellar cortex where all neurons except granule cells (and unipolar brush cells in specific lobules) are inhibitory and fire spontaneously at high rates. Recently, a combination of electrophysiological recordings in vitro and in vivo, imaging, optogenetics and computational modeling, has revealed that inhibitory interneurons play a much more complex role in regulating cerebellar microcircuit functions: inhibition shapes neuronal response dynamics in the whole circuit and eventually regulate the PC output. This review elaborates current knowledge on cerebellar inhibitory interneurons [Golgi cells, Lugaro cells (LCs), basket cells (BCs) and stellate cells (SCs)], starting from their ontogenesis and moving up to their morphological, physiological and plastic properties, and integrates this knowledge with that on the more renown granule cells and PCs. We will focus on the circuit loops in which these interneurons are involved and on the way they generate feed-forward, feedback and lateral inhibition along with complex spatio-temporal response dynamics. In this perspective, inhibitory interneurons emerge as the real controllers of cerebellar functioning.
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation

In order to address the data sparsity problem in recommender systems, in recent years, Cross-Domain Recommendation (CDR) leverages the relatively richer information from a source domain to improve the recommendation performance on a target domain with sparser information. However, each of the two domains may be relatively richer in certain types of information (e.g., ratings, reviews, user profiles, item details, and tags), and thus, if we can leverage such information well, it is possible to improve the recommendation performance on both domains simultaneously (i.e., dual-target CDR), rather than a single target domain only. To this end, in this paper, we propose a new framework, DTCDR, for Dual-Target Cross-Domain Recommendation. In DTCDR, we first extensively utilize rating and multi-source content information to generate rating and document embeddings of users and items. Then, based on Multi-Task Learning (MTL), we design an adaptable embedding-sharing strategy to combine and share the embeddings of common users across domains, with which DTCDR can improve the recommendation performance on both richer and sparser (i.e., dual-target) domains simultaneously. Extensive experiments conducted on real-world datasets demonstrate that DTCDR can significantly improve the recommendation accuracies on both richer and sparser domains and outperform the state-of-the-art single-domain and cross-domain approaches.
Achievable rates using PAM time-limited pulses over band-limited channels: From Nyquist to FTN

In this paper we study optimal signaling when using time-limited pulses over band-limited Additive White Gaussian Noise channels. We adopt an information theoretic approach and quantify the achievable rates of such systems. We show that the Nyquist criterion cannot be satisfied and that signaling at faster than the Nyquist rate is significantly closer to optimality.
Genome-Wide Insight into Profound Effect of Carbon Catabolite Repressor (Cre1) on the Insect-Pathogenic Lifecycle of Beauveria bassiana

Carbon catabolite repression (CCR) is critical for the preferential utilization of glucose derived from environmental carbon sources and regulated by carbon catabolite repressor A (Cre1/CreA) in filamentous fungi. However, a role of Cre1-mediated CCR in insect-pathogenic fungal utilization of host nutrients during normal cuticle infection (NCI) and hemocoel colonization remains explored insufficiently. Here, we report an indispensability of Cre1 for Beauveria bassiana’s utilization of nutrients in insect integument and hemocoel. Deletion of cre1 resulted in severe defects in radial growth on various media, hypersensitivity to oxidative stress, abolished pathogenicity via NCI or intrahemocoel injection (cuticle-bypassing infection) but no change in conidial hydrophobicity and adherence to insect cuticle. Markedly reduced biomass accumulation in the Δcre1 cultures was directly causative of severe defect in aerial conidiation and reduced secretion of various cuticle-degrading enzymes. The majority (1117) of 1881 dysregulated genes identified from the Δcre1 versus wild-type cultures were significantly downregulated, leading to substantial repression of many enriched function terms and pathways, particularly those involved in carbon and nitrogen metabolisms, cuticle degradation, antioxidant response, cellular transport and homeostasis, and direct/indirect gene mediation. These findings offer a novel insight into profound effect of Cre1 on the insect-pathogenic lifestyle of B. bassiana.
Reduced Expression of PLCXD3 Associates With Disruption of Glucose Sensing and Insulin Signaling in Pancreatic β-Cells

Previous work has shown that reduced expression of PLCXD3, a member of the phosphoinositide-specific phospholipases (PI-PLC) family, impaired insulin secretion with an unclear mechanism. In the current study, we aim to investigate the mechanism underlying this effect using human islets and rat INS-1 (832/13) cells. Microarray and RNA sequencing data showed that PLCXD3 is among the highly expressed PI-PLCs in human islets and INS-1 (832/13) cells. Expression of PLCXD3 was reduced in human diabetic islets, correlated positively with Insulin and GLP1R expression and inversely with the donor's body mass index (BMI) and glycated hemoglobin (HbA1c). Expression silencing of PLCXD3 in INS-1 (832/13) cells was found to reduce glucose-stimulated insulin secretion (GSIS) and insulin content. In addition, the expression of Insulin, NEUROD1, GLUT2, GCK, INSR, IRS2, and AKT was downregulated. Cell viability and apoptosis rate were unaffected. In conclusion, our data suggest that low expression of PLCXD3 in pancreatic β-cells associates with downregulation of the key insulin signaling and insulin biosynthesis genes as well as reduction in glucose sensing.
Maritime Spatial Planning on Land? Planning for Land-Sea Interaction Conflicts in the Danish Context

ABSTRACT Denmark is currently producing their first Maritime Spatial Plan, as required by the European Union’s Maritime Spatial Planning Directive 2014/89. This article investigates the Danish approach to governing land-sea interactions, exploring the impacts of various institutional and procedural factors on the practice of planning at the land-sea interface in Denmark. We find that in Denmark, the MSP process has priority over the terrestrial planning system, that there is a complex institutional set-up with a lack of integration between the maritime and terrestrial planning systems, and that there exist differing perspectives about the importance of certain industries leading to conflicts.
Synthesis, Crystal Structures and Photoluminescent Properties of One-Dimensional Europium(III)- and Terbium(III)-Glutarate Coordination Polymers, and Their Applications for the Sensing of Fe3+ and Nitroaromatics

Two lanthanide–glutarate coordination polymers, viz. : {[Eu(C5H6O4)(H2O)4]Cl}n, (1) and [Tb(C5H7O4)(C5H6O4)(H2O)2]n, (2) have been synthesized and characterized by IR spectroscopy, thermogravimetric analysis, and X-ray crystallography. In 1, the Eu(III) ions are coordinated by four O atoms from two bidentate chelating carboxylate groups, one O atom from a bridging carboxylate group and four O atoms from water molecules adopting an EuO9 distorted tri-capped trigonal prismatic coordination geometry. In 2, the Tb(III) ions are coordinated by six O atoms from three bidentate chelating carboxylates, one O atom from a bridging carboxylate and two O atoms from water molecules to generate distorted tri-capped trigonal prismatic TbO9 polyhedron. In both compounds, the metal polyhedra share edges, producing centrosymmetric Ln2O2 diamonds, and are linked into [001] chains by bridging glutarate di-anions. The crystal structures are consolidated by O–H···O and O–H···Cl hydrogen bonds in 1, and O–H···O hydrogen bonds in 2. Compound 1 exhibits a red emission attributed to the 5D0 → 7FJ (J = 1–4) transitions of the Eu(III) ion, whereas 2 displays green emission corresponding to the 5D4 → 7FJ (J = 0–6) transitions of the Tb(III) ion. Both the compounds exhibit high sensitivity and selectivity for Fe3+ ions due to luminescence quenching compared with other metal ions, which include; Na+, Mg2+, Al3+, Cr3+, Mn2+, Fe2+, Co2+, Ni2+, Zn2+ and Cd2+. Compounds 1 and 2 also show high luminescence quenching sensitivity for 4-nitrophenol over the other aromatic and nitroaromatic compounds, namely; bromobenzene, 1,3-dimethylbenzene, nitrobenzene, 4-nitrotolune, 4-nitrophenol, 2,6-dinitrophenol and 2,4,6-trinitrophenol.
Combined Use of EMG and EEG Techniques for Neuromotor Assessment in Rehabilitative Applications: A Systematic Review

Electroencephalography (EEG) and electromyography (EMG) are widespread and well-known quantitative techniques used for gathering biological signals at cortical and muscular levels, respectively. Indeed, they provide relevant insights for increasing knowledge in different domains, such as physical and cognitive, and research fields, including neuromotor rehabilitation. So far, EEG and EMG techniques have been independently exploited to guide or assess the outcome of the rehabilitation, preferring one technique over the other according to the aim of the investigation. More recently, the combination of EEG and EMG started to be considered as a potential breakthrough approach to improve rehabilitation effectiveness. However, since it is a relatively recent research field, we observed that no comprehensive reviews available nor standard procedures and setups for simultaneous acquisitions and processing have been identified. Consequently, this paper presents a systematic review of EEG and EMG applications specifically aimed at evaluating and assessing neuromotor performance, focusing on cortico-muscular interactions in the rehabilitation field. A total of 213 articles were identified from scientific databases, and, following rigorous scrutiny, 55 were analyzed in detail in this review. Most of the applications are focused on the study of stroke patients, and the rehabilitation target is usually on the upper or lower limbs. Regarding the methodological approaches used to acquire and process data, our results show that a simultaneous EEG and EMG acquisition is quite common in the field, but it is mostly performed with EMG as a support technique for more specific EEG approaches. Non-specific processing methods such as EEG-EMG coherence are used to provide combined EEG/EMG signal analysis, but rarely both signals are analyzed using state-of-the-art techniques that are gold-standard in each of the two domains. Future directions may be oriented toward multi-domain approaches able to exploit the full potential of combined EEG and EMG, for example targeting a wider range of pathologies and implementing more structured clinical trials to confirm the results of the current pilot studies.