Miracle-dz/UniFAR-FTUs huggingface dataset:
The Fusiform Face Area Plays a Greater Role in Holistic Processing for Own-Race Faces Than Other-Race Faces

Own-race faces are recognized more effectively than other-race faces. This phenomenon is referred to as other-race effect (ORE). Existing behavioral evidence suggests that one of the possible causes of ORE is that own-race faces are processed more holistically than other-race faces. However, little is known about whether such differences in processing also produce distinctive neural responses in the cortical face processing network. To bridge this gap, the present study used fMRI methodology and the composite face paradigm to examine the response patterns of the traditional face-preferential cortical areas (i.e., the bilateral fusiform face areas [FFA] and the bilateral occipital face areas [OFA]) elicited by own-race faces and other-race faces. We found that the right FFA exhibited a neural composite face effect only for own-race faces but not for other-race faces, even with the absence of the race-related difference in behavior composite face effect. These findings suggest that the right FFA plays a greater role in holistic processing of individual own-race faces than other-race faces. They also suggest that the neural composite effect observed in the right FFA is not the exact neural counterpart of the behavioral face composite effect. The findings of the present study revealed that, along the pathway of the bottom-up face processing, own-race faces and other-race faces presented the holistic processing difference as early as when they were processed in the right FFA.
Immune Response and Partial Protection against Heterologous Foot-and-Mouth Disease Virus Induced by Dendrimer Peptides in Cattle

Synthetic peptides mimicking protective B- and T-cell epitopes are good candidates for safer, more effective FMD vaccines. Nevertheless, previous studies of immunization with linear peptides showed that they failed to induce solid protection in cattle. Dendrimeric peptides displaying two or four copies of a peptide corresponding to the B-cell epitope VP1 [136–154] of type O FMDV (O/UKG/11/2001) linked through thioether bonds to a single copy of the T-cell epitope 3A [21–35] (termed B2T and B4T, resp.) afforded protection in vaccinated pigs. In this work, we show that dendrimeric peptides B2T and B4T can elicit specific humoral responses in cattle and confer partial protection against the challenge with a heterologous type O virus (O1/Campos/Bra/58). This protective response correlated with the induction of specific T-cells as well as with an anamnestic antibody response upon virus challenge, as shown by the detection of virus-specific antibody-secreting cells (ASC) in lymphoid tissues distal from the inoculation point.
GABA-enriched fermented Laminaria japonica improves cognitive impairment and neuroplasticity in scopolamine- and ethanol-induced dementia model mice

BACKGROUND/OBJECTIVES Fermented Laminaria japonica (FL), a type sea tangle used as a functional food ingredient, has been reported to possess cognitive improving properties that may aid in the treatment of common neurodegenerative disorders, such as dementia. MATERIALS/METHODS We examined the effects of FL on scopolamine (Sco)- and ethanol (EtOH)-induced hippocampus-dependent memory impairment, using the Passive avoidance (PA) and Morris water maze (MWM) tests. To examine the underlying mechanisms associated with neuroprotective effects, we analyzed acetylcholine (ACh) and acetylcholinesterase (AChE) activity, brain tissue expression of muscarinic acetylcholine receptor (mAChR), cAMP response element binding protein (CREB) and extracellular signal-regulated kinases 1/2 (ERK1/2), and immunohistochemical analysis, in the hippocampus of mice, compared to current drug therapy intervention. Biochemical blood analysis was carried out to determine the effects of FL on alanine transaminase (ALT), aspartate transaminase (AST), and triglyceride (TG) and total cholesterol (TC) levels. 7 groups (n = 10) consisted of a control (CON), 3 Sco-induced dementia and 3 EtOH-induced dementia groups, with both dementia group types containing an untreated group (Sco and EtOH); a positive control, orally administered donepezil (Dpz) (4mg/kg) (Sco + Dpz and EtOH + Dpz); and an FL (50 mg/kg) treatment group (Sco + FL50 and EtOH + FL50), orally administered over the 4-week experimental period. RESULTS FL50 significantly reduced EtOH-induced increase in AST and ALT levels. FL50 treatment reduced EtOH-impaired step-through latency time in the PA test, and Sco- and EtOH-induced dementia escape latency times in the MWM test. Moreover, anticholinergic effects of Sco and EtOH on the brain were reversed by FL50, through the attenuation of AChE activity and elevation of ACh concentration. FL50 elevated ERK1/2 protein expression and increased p-CREB (ser133) in hippocampus brain tissue, according to Western blot and immunohistochemistry analysis, respectively. CONCLUSION Overall, these results suggest that FL may be considered an efficacious intervention for Sco- and EtOH-induced dementia, in terms of reversing cognitive impairment and neuroplastic dysfunction.
Manipulation of source sink relationship for management of fruit drop in kinnow mandarin

A field experiment to study the effect of plant growth regulators and mineral nutrients as foliar application on source-sink relationship during fruit drop was carried out in Kinnow mandarin during 2013–2014. The plant growth regulators viz., 2,4 - D and gibberellic acid (@ 20μg/ml each) and mineral nutrients viz., FeSO4, MnSO4, ZnSO4 (@ 3.0% each), CaSO4, MgSO4 (@ 0.6% each), combination of FeSO4 +MnSO4 + ZnSO4 (@ 0.3% each), MnSO4 + ZnSO4(@ 0.1% each), KNO3 +2,4-D (@ 2.5% + 20μg/ml), KNO3 + 2,4- D (@ 5% + 20μg/ml) were tested as foliar application on eight year old Kinnow fruit plants at Punjab Agricultural University, Ludhiana. The results revealed that there was a significant reduction in fruit drop and increase in fruit yield with the tested plant growth regulators and mineral nutrients by strengthening the sink capacity. The metabolites viz. total soluble proteins, free amino acids, total soluble sugars and starch were more in the leaves as compared to fruits at both the stages of fruit drop, ie. , May and August. KNO3 +2,4D (@ 2.5% + 20μg/ml) application resulted in maximum metabolic content in the fruits at the two diagnostic stages.
Low-Bandgap Cs4 CuSb2 Cl12 Layered Double Perovskite: Synthesis, Reversible Thermal Changes, and Magnetic Interaction.

Double perovskites (DPs) with a generic formula A2 M'(I)MIII X6 (A and M are metal ions, and X=Cl, Br, I) are now being explored as potential alternatives to Pb-halide perovskites for solar cells and other optoelectronic applications. However, these DPs typically suffer from wide (≈3 eV) and/or indirect band gaps. In 2017, a new structural variety, namely layered halide DP Cs4 CuSb2 Cl12 (CCSC) with bivalent CuII ion in the place of M'(I) was reported, which exhibit a band gap of approximately 1 eV. Here, we report a mechanochemical synthesis of CCSC, its thermal and chemical stability, and magnetic response of CuII d9 electrons controlling the optoelectronic properties. A simple grinding of precursor salts at ambient conditions provides a stable and scalable product. CCSC is stable in water/acetone solvent mixtures (≈30 % water) and many other polar solvents unlike Pb-halide perovskites. It decomposes to Cs3 Sb2 Cl9 , Cs2 CuCl4 , and SbCl3 at 210 °C, but the reaction can be reversed back to produce CCSC at lower temperatures and high humidity. A long-range magnetic ordering is observed in CCSC even at room temperature. The role of such magnetic ordering in controlling the dispersion of the conduction band, and therefore, controlling the electronic and optoelectronic properties of CCSC has been discussed.
Prevalence and correlates of major depression in Granada, Spain: Results from the GranadΣp study

Background: Major depression is one of the world’s leading causes of disability. Up-to-date information about the epidemiology of this disorder is key to health care planning. Aim: The aim of our study is to report prevalence and correlates of current major depressive disorder (MDD) in the province of Granada, Southern Spain. Methods: The GranadΣp is a cross-sectional study based on a community-dwelling adult population living in the province of Granada, Southern Spain. Community-dwelling adults aged 18–80 years (n = 810) were interviewed using the Mini-International Neuropsychiatric Interview (MINI). A variety of exposure assessments were also undertaken. Results: Point (2 weeks) prevalence of MDD in the Granada population was 5.6%. Positive family history of mental illness, high degree of neuroticism, high number of life threatening events (LTE), poor physical health status, cognitive impairment and cannabis use were independently associated with MDD in the multivariate regression model. Being female was also associated with MDD, but the significance disappeared after adjusting for neuroticism and physical health. Conclusion: Prevalence of MDD in the Granada population is higher than expected. The effects of the financial crisis could be partially accountable for this excess in prevalence. Six variables were found to be independently associated with MDD. Association between female sex and depression may be partially explained by the confounding effect of neuroticism.
Multi-task Representation Learning for Travel Time Estimation

One crucial task in intelligent transportation systems is estimating the duration of a potential trip given the origin location, destination location as well as the departure time. Most existing approaches for travel time estimation assume that the route of the trip is given, which does not hold in real-world applications since the route can be dynamically changed due to traffic conditions, user preferences, etc. As inferring the path from the origin and the destination can be time-consuming and nevertheless error-prone, it is desirable to perform origin-destination travel time estimation, which aims to predict the travel time without online route information. This problem is challenging mainly due to its limited amount of information available and the complicated spatiotemporal dependency. In this paper, we propose a MUlti-task Representation learning model for Arrival Time estimation (MURAT). This model produces meaningful representation that preserves various trip properties in the real-world and at the same time leverages the underlying road network and the spatiotemporal prior knowledge. Further-more, we propose a multi-task learning framework to utilize the path information of historical trips during the training phase which boosts the performance. Experimental results on two large-scale real-world datasets show that the proposed approach achieves clear improvements over state-of-the-art methods
ARRIVE has not ARRIVEd: Support for the ARRIVE (Animal Research: Reporting of in vivo Experiments) guidelines does not improve the reporting quality of papers in animal welfare, analgesia or anesthesia

Poor research reporting is a major contributing factor to low study reproducibility, financial and animal waste. The ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines were developed to improve reporting quality and many journals support these guidelines. The influence of this support is unknown. We hypothesized that papers published in journals supporting the ARRIVE guidelines would show improved reporting compared with those in non-supporting journals. In a retrospective, observational cohort study, papers from 5 ARRIVE supporting (SUPP) and 2 non-supporting (nonSUPP) journals, published before (2009) and 5 years after (2015) the ARRIVE guidelines, were selected. Adherence to the ARRIVE checklist of 20 items was independently evaluated by two reviewers and items assessed as fully, partially or not reported. Mean percentages of items reported were compared between journal types and years with an unequal variance t-test. Individual items and sub-items were compared with a chi-square test. From an initial cohort of 956, 236 papers were included: 120 from 2009 (SUPP; n = 52, nonSUPP; n = 68), 116 from 2015 (SUPP; n = 61, nonSUPP; n = 55). The percentage of fully reported items was similar between journal types in 2009 (SUPP: 55.3 ± 11.5% [SD]; nonSUPP: 51.8 ± 9.0%; p = 0.07, 95% CI of mean difference -0.3–7.3%) and 2015 (SUPP: 60.5 ± 11.2%; nonSUPP; 60.2 ± 10.0%; p = 0.89, 95%CI -3.6–4.2%). The small increase in fully reported items between years was similar for both journal types (p = 0.09, 95% CI -0.5–4.3%). No paper fully reported 100% of items on the ARRIVE checklist and measures associated with bias were poorly reported. These results suggest that journal support for the ARRIVE guidelines has not resulted in a meaningful improvement in reporting quality, contributing to ongoing waste in animal research.
Achieving Feature Location in Families of Models Through the Use of Search-Based Software Engineering

The application of search-based software engineering techniques to new problems is increasing. Feature location is one of the most important and common activities performed by developers during software maintenance and evolution. Features must be located across families of products and the software artifacts that realize each feature must be identified. However, when dealing with industrial software artifacts, the search space can be huge. We propose and compare five search algorithms to locate features over families of product models guided by latent semantic analysis (LSA), a technique that measures similarities between textual queries. The algorithms are applied to two case studies from our industrial partners (leading manufacturers of home appliances and rolling stock) and are compared in terms of precision and recall. Statistical analysis of the results is performed to provide evidence of the significance of the results. The combination of an evolutionary algorithm with LSA can be used to locate features in families of models from industrial scenarios such as the ones from our industrial partners.
Geographic Origin of Human Mitochondrial DNA: Accommodating Phylogenetic Uncertainty and Model Comparison

—Many biogeographic problems are tested on phylogenetic trees. Typically, the uncertainty in the phylogeny is not accommodated when investigating the biogeography of the organisms. Here we present a method that accommodates uncertainty in the phylogenetic trees. Moreover, we describe a simple method for examining the support for competing biogeographic scenarios. We illustrate the method using mitochondrial DNA sequences sampled from modern humans. The geographic origin of modern human mtDNA is inferred to be in Africa, although support for this hypothesis was ambiguous for data from an early paper. Debate on the origin of anatomically modern humans has concentrated on two competing hypotheses. The “out-of-Africa hypothesis” argues that modern humans originated in Africa and then migrated to other parts of the world, replacing other species of Homo as they spread (Stringer and McKie, 1996). The “regional continuity hypothesis,” on the other hand, argues LAPOINTE, F. J., AND G. CUCUMEL. 1997. The average consensus procedure: combination of weighted trees containing identical or overlapping sets of taxa. Syst. Biol. 46:306–312. LIU, R. F. , M. M. MIYAMOTO, N. P. FREIRE, P. Q. ONG , M. R. TENNANT, T. S. YOUNG, AND K. F. GUGEL. 2001. Molecular and morphological supertrees for eutherian (placental) mammals. Science 291:1786–1789. PURVIS, A. 1995a. A composite estimate of primate phylogeny. Philos. Trans. R. Soc. London B 348:405–421. PURVIS, A. 1995b. A modication to Baum and Ragan’s method for combining phylogenetic trees. Syst. Biol. 44:251–255. RAGAN, M. A. 1992. Phylogenetic inference based on matrix representation of trees. Mol. Phylogenet. Evol. 1:53–58. SEMPLE, C. , AND M. STEEL. 2000. A supertree method for rooted trees. Discrete Appl. Math. 105:147–158. STRIMMER, K. , AND A. VON HAESELER. 1996. Quartet puzzling: A quartet maximum-likelihood method for reconstructing tree topologies. Mol. Biol. Evol. 13:964– 969. WILKINSON, M. , J. L. THORLEY, D. T. J. LITTLEWOOD, AND R. A. BRAY. 2001. Towards a phylogenetic supertree for the Platyhelminthes? Pages 292–301 in Interrelationships of the Platyhelminthes (D. T. J. Littlewood and R. A. Bray, eds.). Chapman-Hall, London. Received 24 April 2001; accepted 2 September 2001 Associate Editor: M. Sanderson for a single species of Homo widely spread throughout the Old World, with populations connected through gene ow (Wolpoff and Caspari, 1997). Anatomically modern humans are then thought to have originated over a wide geographic area and after any migration event from Africa. The usual approach taken in a molecular test of these competing hypotheses is to collect DNA Downloaded from https://academic.oup. com/sysbio/article-abstract/51/1/155/1631319
Uncovering the drivers of host‐associated microbiota with joint species distribution modelling

In addition to the processes structuring free‐living communities, host‐associated microbiota are directly or indirectly shaped by the host. Therefore, microbiota data have a hierarchical structure where samples are nested under one or several variables representing host‐specific factors, often spanning multiple levels of biological organization. Current statistical methods do not accommodate this hierarchical data structure and therefore cannot explicitly account for the effect of the host in structuring the microbiota. We introduce a novel extension of joint species distribution models (JSDMs) which can straightforwardly accommodate and discern between effects such as host phylogeny and traits, recorded covariates such as diet and collection site, among other ecological processes. Our proposed methodology includes powerful yet familiar outputs seen in community ecology overall, including (a) model‐based ordination to visualize and quantify the main patterns in the data; (b) variance partitioning to assess how influential the included host‐specific factors are in structuring the microbiota; and (c) co‐occurrence networks to visualize microbe‐to‐microbe associations.
Throughput Maximization for Multi-Hop Decode-and-Forward Relay Network With Wireless Energy Harvesting

In this paper, we consider multi-hop wireless networks with decode-and-forward relays. Intermediate relays have no fixed power supplies and thus need to replenish energy via wireless energy harvesting from the source signal. The technique of simultaneous wireless information and power transfer (SWIPT) is utilized between every two adjacent nodes to transport both information and energy. Three general protocols of SWIPT are considered: power-splitting (PS), time-switching (TS), and hybrid which is a combination of PS and TS protocols. For each protocol, we formulate optimization problems to decide optimal PS and TS ratios so as to maximize end-to-end throughput under two schemes. Scheme 1 allows different PS and TS ratios at each relay, and Scheme 2 uses uniform PS and TS ratios for all the relays. The proposed optimization problems are shown to be non-convex. With a series of transformations, we turn the proposed non-convex optimization problems to be convex ones. Insightful analysis of the system performance is presented in the part of numerical results.
Clinicopathological significance of chemokine receptor (CCR1, CCR3, CCR4, CCR5, CCR7 and CXCR4) expression in head and neck squamous cell carcinomas

BACKGROUND Head and neck squamous cell carcinoma shows high prevalence of lymph node metastasis at diagnosis, and despite the advances in treatment, the overall 5-year survival is still under 50%. Chemokine receptors have a role in the development and progression of cancer, but their effect in head and neck carcinoma remains poorly characterised. This study aimed to assess the prognostic value of CCR1, CCR3, CCR4, CCR5, CCR7 and CXCR4 in head and neck squamous cell carcinomas. METHODS Immunohistochemical expression of chemokine receptors was evaluated in a retrospective cohort of 76 cases of head and neck squamous cell carcinoma. Clinicopathological associations were analysed using the chi-square test, survival curves were analysed according to the Kaplan-Meier method, and the Cox proportional hazard model was applied for multivariate survival analysis. RESULTS The chemokine receptors were highly expressed in primary carcinomas, except for CCR1 and CCR3. Significant associations were detected, including the associations between CCR5 expression and lymph node metastasis (N stage, P = .03), advanced clinical stage (P = .003), poor differentiation of tumours (P = .05) and recurrence (P = .01). The high expression of CCR5 was also associated with shortened disease-free survival (HR: 2.85, 95% CI: 1.09-8.14, P = .05), but the association did not withstand the Cox multivariate survival analysis. At univariate analysis, high expression of CCR7 was associated with disease-free survival and low levels of CXCR4 were significantly associated with both disease-specific and disease-free survival. CONCLUSIONS These findings show that chemokine receptors may have an important role in head and neck squamous cell carcinoma progression, regional lymph node metastasis and recurrence.
Hardware-Oriented Compression of Long Short-Term Memory for Efficient Inference

Long short-term memory (LSTM) and its variants have been widely adopted in processing sequential data. However, the intrinsic large memory requirement and high computational complexity make it hard to be employed in embedded systems. This incurs the need of model compression and dedicated hardware accelerator for LSTM. In this letter, efficient clipped gating and top-<inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula> pruning schemes are introduced to convert the dense matrix computations in LSTM into structured sparse-matrix-sparse-vector multiplications. Then, mixed quantization schemes are developed to eliminate most of the multiplications in LSTM. The proposed compression scheme is well suited for efficient hardware implementations. Experimental results show that the model size and the number of matrix operations can be reduced by <inline-formula><tex-math notation="LaTeX">$32\times$ </tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$18.5\times$</tex-math></inline-formula>, respectively, at a cost of less than <inline-formula><tex-math notation="LaTeX">$1\%$</tex-math></inline-formula> accuracy loss on a word-level language modeling task.
Moral Punishment in Everyday Life

The present research investigated event-related, contextual, demographic, and dispositional predictors of the desire to punish perpetrators of immoral deeds in daily life, as well as connections among the desire to punish, moral emotions, and momentary well-being. The desire to punish was reliably predicted by linear gradients of social closeness to both the perpetrator (negative relationship) and the victim (positive relationship). Older rather than younger adults, conservatives rather than people with other political orientations, and individuals high rather than low in moral identity desired to punish perpetrators more harshly. The desire to punish was related to state anger, disgust, and embarrassment, and these were linked to lower momentary well-being. However, the negative effect of these emotions on well-being was partially compensated by a positive indirect pathway via heightened feelings of moral self-worth. Implications of the present field data for moral punishment research and the connection between morality and well-being are discussed.