Miracle-dz/UniFAR-FTUs huggingface dataset:
Tomorrow’s Human–Machine Design Tools: From Levels of Automation to Interdependencies

The growth of sophistication in machine capabilities must go hand in hand with growth of sophistication in human–machine interaction capabilities. To continue advancement as we build today’s intelligent machines, designers need formative tools for creating sociotechnical systems. In this article, we will briefly assess the appropriateness of “levels of automation” as a tool for designing human–machine systems. Additionally, we present coactive design and interdependence analysis as a viable alternative tool moving forward into more advanced and sophisticated human–machine systems.
Soft-defined heterogeneous vehicular network: architecture and challenges

HetVNETs can meet various QoS requirements for intelligent transport system services by integrating different access networks coherently. However, the current network architecture for HetVNET cannot efficiently deal with the increasing demands of a rapidly changing network landscape. Thanks to the centralization and flexibility of the Cloud-RAN, soft-defined networking can conveniently be applied to support the dynamic nature of future HetVNET functions and various applications while reducing the operating costs. In this article, we first propose the multi-layer Cloud-RAN architecture for implementing the new network, where the multi-domain resources can be exploited as needed for vehicle users. Then the high-level design of a soft-defined HetVNET is presented in detail. Finally, we briefly discuss key challenges and solutions for this new network, corroborating its feasibility in the emerging fifth-generation era.
Spinning and drawing of PLA filament

PLA filament was made from PLA chips by melt-spinning and heat-plate drawing. The effects of temperature and drawing ratio on filament performance were investigated. The results show that the PLA has good fiber-forming behavior. The filament is of best behavior at a drawing ratio of 4, i. e, the break strength, crystallization and orientation of the filament reach the best.
Disentangling the Dyadic Dance: Theoretical, Methodological and Outcomes Systematic Review of Mother-Infant Dyadic Processes

Background: During the last decades, the research on mother-infant dyad has produced a great amount of data, methods and theories, which largely contributed to set a revolution in the way we look at developmental changes during infancy and childhood. Very different constructs depict the different aspects of the “dyadic dance” occurring between a mother and her infant; nonetheless, a comprehensive and consistent systematization of these concepts in a coherent theoretical landscape is still lacking. Aim: In the present work, we aim at disentangling the different theoretical and methodological definitions of 9 dyadic constructs and we highlight their effects on infants' and children developmental outcomes. Methods: A literature search has been conducted on three databases—PubMed, Scopus, Web of Science. Three different reviews are reported here: (1) a review on the theoretical definitions of dyadic constructs; (2) a review of operational definitions, settings and methods of dyadic processes; (3) a systematic review of dyadic processes' outcomes for infants' and children developmental trajectories. Results: Two constructs emerged as wide meta-theoretical concepts (reciprocity and mutuality) and seven described specific processes (attunement, contingency, coordination, matching, mirroring, reparation, synchrony). A global model resuming the relationships among different processes is reported, which highlights the emergence of two specific cycles of dyadic functioning (i.e., matching-mismatching-reparation-synchrony; contingency, coordination, attunement, mirroring). A comprehensive review of the adopted measures is also provided. Finally, all the processes provided significant contributions to infants' behavioral, cognitive, and socio-emotional development during the first 3 years of age, but limited research has been conducted on specific processes (e.g. reparation and mirroring). Conclusion: The present study provides an original research-grounded framework to consider the different nature of mother-infant dyadic processes within a unified dyadic eco-system. Different levels of evidence emerged for the role of diverse mother-infant dyadic processes on infants' and children development. Open questions and future research directions are highlighted.
Leaf concentrate compared with skimmed milk as nutritional supplementation for HIV-infected children: a randomized controlled trial in Burundi

Abstract Objective The effectiveness of leaf concentrate powder (LCP) as a nutritional supplement was established in trials conducted among adolescent girls and pregnant women in India. Here we evaluate LCP, compared with skimmed milk powder (SMP), as a supplement for antiretroviral-naïve children living with HIV in a sub-Saharan African country. Design Randomized controlled, two-arm, 6-month trial comparing effects of isoproteic (5 g) LCP (10 g daily) and SMP (15 g daily) on HIV-1 viral load, CD4+ cell count/percentage, weight/height-for-age, general blood parameters, diarrhoea, respiratory and HIV-related opportunistic infections. Setting Bujumbura and Kirundo, Burundi. Subjects Eighty-three HIV-positive, antiretroviral-naïve children aged 5–14 years: median (range) CD4+ count, 716 (361–1690) cells/mm3; log10 HIV-1 viral load, 4·39 (1·79–6·00). Results LCP was equivalent to SMP in relation to HIV-specific blood parameters and did not demonstrate superiority over SMP in relation to Hb. Three children in each arm (LCP, 7·1 % (3/42); SMP, 7·3 % (3/41)) proceeded to antiretroviral therapy because their CD4+ counts fell below 350 cells/mm3. Children in the LCP group reported higher levels of appetite and overall health at 6 months. There were no differences in clinical events or any other outcome measures. LCP was less palatable than SMP to the children in this population, but there were few negative perceptions of appearance, texture and taste. Conclusions LCP appears to be equivalent to SMP as a nutritional supplement in this population, despite slightly lower palatability. In relation to viral load and CD4+ count, equivalence may indicate no effect in either group. Effectiveness relative to no supplementation remains to be determined.
A novel potential role of pituitary gonadotropins in the pathogenesis of human colorectal cancer

Background Colorectal cancer (CRC) is a leading cause of death in the western world, and its incidence increases with patient age. It is also known that with age there occur changes in the levels of certain hormones, including an increase in the secretion of pituitary gonadotropins (PtGs) as a result of the loss of gonadal hormone feedback. We recently reported that functional PtG receptors are expressed in human lung cancer cells, rhabdomyosarcoma cells, and malignant hematopoietic stem cells. Findings Here we report for the first time that the receptors for follicle-stimulating hormone (FSH) and luteinizing hormone (LH) are expressed in primary tumor samples isolated from CRC patients as well as in the established human CRC cell lines HTC116 and HTB37. Moreover, we also report that PtGs stimulate chemotaxis, adhesion, and proliferation of these cell lines. Conclusions Our results suggest that PtGs play an important and underappreciated role in CRC pathogenesis, and we call for further studies to better define their role in gastrointestinal malignancies and their direct effect on putative CRC cancer stem cells.
Transpositional neurocryptography using Deep Learning

Cryptanalysis (the study of methods to read encrypted information without knowledge of the encryption key) has traditionally been separated into mathematical analysis of weaknesses in cryptographic algorithms, on the one hand, and side-channel attacks which aim to exploit weaknesses in the implementation of encryption and decryption algorithms. Mathematical analysis generally makes assumptions about the algorithm with the aim of reconstructing the key relating plain text to cipher text through brute-force methods. Complexity issues tend to dominate the systematic search for keys. To date, there has been very little research on a third cryptanalysis method: learning the key through convergence based on associations between plain text and cipher text. Recent advances in deep learning using multi-layered artificial neural networks (ANNs) provide an opportunity to reassess the role of deep learning architectures in next generation cryptanalysis methods based on neurocryptography (NC). In this paper, we explore the capability of deep ANNs to decrypt encrypted messages with minimum knowledge of the algorithm. From the experimental results, it can be concluded that DNNs can encrypt and decrypt to levels of accuracy that are not 100% because of the stochastic aspects of ANNs. This aspect may however be useful if communication is under cryptanalysis attack, since the attacker will not know for certain that key K used for encryption and decryption has been found. Also, uncertainty concerning the architecture used for encryption and decryption adds another layer of uncertainty that has no counterpart in traditional cryptanalysis.
The Effect of Taxes on Corporate Financing Decisions – Evidence from the German Interest Barrier

The literature suggests that when taking tax effects into account, debt ought to be preferable to equity. Thus, with all else being equal, levered firms are expected to show higher firm values. However, there are no uniform predictions of the size of this tax benefit from interest deductibility nor on the effect of changes in interest deductibility. We believe that the German corporate tax reform in 2008, which introduced an interest barrier, can serve as a promising “quasi-experiment” to investigate the effects from a reform of interest deductibility. A study of this reform on the basis of German financial statement data is of general interest because, first, similar interest barriers have been introduced in several countries and proposed by the OECD to fight BEPS. Second, the major characteristics of the German tax system can be regarded as representative for most European and major Asian countries. Third, single entity financial statements for German companies allows us to capture tax and capital structure details that have not been available in most prior studies. With significance at the 5% level, we find evidence that the companies that are affected by the interest barrier reduce their leverage by 4.7 percentage points more than companies that are not affected by the interest barrier. We are the first to employ a detailed matching approach to the underlying rich dataset, which enables us to overcome several limitations of previous studies. Our results imply that capital structure reactions most likely have been underestimated in previous studies. JEL Classification: F34, H21, H24
Comparison of somatosensory cortex excitability between migraine and “strict-criteria” tension-type headache: a magnetoencephalographic study

Abstract Tension-type headache (TTH) and migraine are both common types of headaches. Despite distinct symptoms, TTH and migraine are highly comorbid and exhibit many clinical similarities. This study enrolled consecutive patients with TTH and age- and sex-matched patients with migraine and healthy controls to investigate whether TTH and migraine are similar in brain excitability change assessed by magnetoencephalography. Patients with TTH were excluded if they reported any headache features or associated symptoms of migraine. In response to paired-pulse electrical stimulations, the gating responses obtained from the contralateral primary somatosensory cortex differed between groups. The first response, which reflected the preactivation excitability, was smaller in the migraine group (29.54 ± 2.31 pAm) compared with the TTH group (79.76 ± 8.36, P < 0.001) and controls (59.95 ± 4.26, P = 0.006). The gating ratio (ie, the ratio of the second vs first response strength) was 0.76 ± 0.03 in controls, 0.88 ± 0.03 in the migraine group, 0.93 ± 0.03 in the TTH group, with a significant increase in TTH (P = 0.003 vs controls) suggesting central disinhibition. The area under the receiver operating characteristic curve of the first response strength in differentiating between TTH and migraine was 0.85 ± 0.44, indicating excellent discrimination. In conclusion, TTH and migraine are different clinical entities in view of somatosensory cortex excitability. The preactivation excitability assessed through somatosensory gating is a potential marker for differentiating between TTH and migraine.
Angry characters and frightened souls: Patients and family explanatory models of bipolar disorder in Taiwan

Bipolar disorder (BD) affects a significant proportion of Taiwanese individuals (Weissman et al., 1996; Yang, Yeh, & Hwu, 2012). Psychotropic medications are typically the mainstay of treatment for BD, and there is an abundance of international research on biological etiology and medication options. However, there is comparatively little research on psychosocial aspects of BD, including how it is understood and managed within families. As culture provides the context in which psychiatric disease is managed, there is a need to identify distinct Chinese psychosocial perspectives that might shed light on intervention options. This research explored how Taiwanese patients and family members comprehend and cope with BD. A sample of 42 participants, including 20 Taiwanese patients diagnosed with Bipolar Disorder-I (BD-I) for at least 4 years, and 22 family members, participated in separate interviews on explanatory models of illness. Qualitative thematic analysis focused on features that were distinct from those in current Western research literature. Five themes were identified that represented Taiwanese conceptualizations of BD, notions of etiology, views regarding treatment, and the difficulties in managing the disorder. Participants used Chinese language terms and descriptions of BD that reflected greater concerns about irritability, anger, and family conflict than about other symptoms, and participants also emphasized characterological trait descriptions of the condition. Their responses reflected their acceptance of lifelong family responsibility for caretaking, clashing beliefs regarding biomedical versus traditional Chinese medical and spiritual models of etiology and cure, profound concerns about the effects of psychiatric medication on the liver and kidney systems, and a focus on stress rather than genetic or biological models of etiology.
Orthogonal sparse linear discriminant analysis

ABSTRACT Linear discriminant analysis (LDA) is a linear feature extraction approach, and it has received much attention. On the basis of LDA, researchers have done a lot of research work on it, and many variant versions of LDA were proposed. However, the inherent problem of LDA cannot be solved very well by the variant methods. The major disadvantages of the classical LDA are as follows. First, it is sensitive to outliers and noises. Second, only the global discriminant structure is preserved, while the local discriminant information is ignored. In this paper, we present a new orthogonal sparse linear discriminant analysis (OSLDA) algorithm. The k nearest neighbour graph is first constructed to preserve the locality discriminant information of sample points. Then, L2,1-norm constraint on the projection matrix is used to act as loss function, which can make the proposed method robust to outliers in data points. Extensive experiments have been performed on several standard public image databases, and the experiment results demonstrate the performance of the proposed OSLDA algorithm.
Preserving Discourse Structure when Simplifying Text

Text simplification involves restructuring sentences by replacing particular syntactic constructs (like embedded clauses and appositives). The aim is to make the text easier to read for some target group (like aphasics and people with low reading ages) or easier to process by some program (like a parser or machine translation system). However, sentencelevel syntactic restructuring can wreak havoc with the discourse structure of a text, actually making it harder to comprehend, and possibly even altering its meaning. In this paper, we present and evaluate techniques for detecting and correcting disruptions in discourse structure caused by syntactic restructuring. In particular, we look at the issues of preserving the rhetorical relationships between the original clauses and phrases and preserving the anaphoric link structure of the text.
Oxidative stress, mammospheres and Nrf2–new implication for breast cancer therapy?

Mammosphere culture of breast cancer cell lines is an important approach used for enrichment of cancer stem cells (CSCs), which exhibit high tumorigenicity and chemoresistance features. Evidence shows that CSCs maintain lower ROS levels due to elevated expression of ROS‐scavenging molecules and antioxidative enzymes, which favors the survival of the CSCs and their chemoresistance. The transcription factor NF‐E2‐related factor 2 (Nrf2) has emerged as the master regulator of cellular redox homeostasis, by up‐regulating antioxidant response element (ARE)‐bearing genes products. Although Nrf2 has long‐term been regarded as a beneficial defense mechanism, accumulating studies have revealed the “dark side” of Nrf2. High constitutive levels of Nrf2 was observed in many types of tumors and cancer cell lines promoting their resistance to chemotherapeutics. In this study, we report a high expression of Nrf2 and its target genes in mammospheres compared to corresponding adherent cells. In MCF‐7 and MDA‐MB‐231 mammmosphere cells, the Nrf2‐mediated cellular protective response is significantly elevated which is associated with increased resistance to taxol and anchorage‐independent growth. Brusatol, an inhibitor of the Nrf2 pathway, suppressed the protein level of Nrf2 and its target genes, enhanced intracellular ROS and sensitized mammospheres to taxol, and reduced the anchorage‐independent growth. These results suggest that mammospheres rely on abnormal up‐regulation of Nrf2 to maintain low intracellular ROS levels. Nrf2 inhibitors, such as brusatol, have the potential to be developed into novel adjuvant chemotherapeutic drug combinations in order to combat refractory tumor initiating CSCs. © 2014 Wiley Periodicals, Inc.
Examination of Resistance Settings Based on Body Weight for the 3-Minute All-Out Critical Power Test

There are conflicting suggestions regarding the most valid resistance (3–5% of body weight) to use for the critical power (CP) 3-min all-out (CP3min) test to estimate CP and anaerobic work capacity (AWC). The purpose of this study was to determine if the CP and AWC estimates from the CP3min test were affected by the percentage of body weight used to set the resistance on a Monark cycle ergometer. Ten recreationally trained participants (mean ± SD: Age: 22.2 ± 2.2 yrs.) completed the CP3min test at resistances of 4.5% (CP4.5%) and 3% (CP3%) of body weight to determine the CP and AWC. There were no significant differences between the CP4.5% (167 ± 34 W) and CP3% (156 ± 36 W) estimates. The AWC3% (5.6 ± 2.5 kJ) estimates were significantly lower than the AWC4.5% (9.0 ± 4.0 kJ). The CP and AWC estimates from the CP4.5% were consistent with values reported in the literature, however, the AWC estimate from the CP3% was lower than typically reported. These findings suggested that a resistance set at 3% of body weight for the CP3min test may be too low to accurately estimate AWC, but 3% and 4.5% resulted in the same estimation of CP. Thus, the principal finding of this study was that a resistance of 4.5% of body weight for CP3-min in recreationally trained participants resulted in more accurate estimates of AWC, compared to a resistance of 3%, and supports the use of 4.5% body weight resistance to measure both CP and AWC.
pH Effects on the Bio-Permeability of Polymers Used in Prophylactics

Barrier materials used in medical gloves and condoms to prevent the penetration of infectious agents are of utmost importance for the preservation of public health. Surrogate viruses have proven effective as conservative measures of infectious potential. Previous work has tested the integrity of barrier materials exposed to a host of pressures and stresses, however none have tested the effects of pH exposure mimicking that prevailing through coitus. We optimized the use of bacteriophage ФX174 and PCR detection to conduct a pilot study on the effects of pH on the viral penetration of latex condoms. Our results suggest that exposure of condoms to acidic pH ranges of physiological significance increases the frequency of condom failure rate. This proof of principal work supports the need for a larger study to investigate the significance of these effects over a wide range of condom brands.
rHVDM: an R package to predict the activity and targets of a transcription factor

SUMMARY Highly parallel genomic platforms like microarrays often present researchers with long lists of differentially expressed genes but contain little or no information on how these genes are regulated. rHVDM is a novel R package which uses gene expression time course data to predict the activity and targets of a transcription factor. In the first step, rHVDM uses a small number of known targets to derive the activity profile of a given transcription factor. Then, in a subsequent step, this activity profile is used to predict other putative targets of that transcription factor. A dynamic and mechanistic model of gene expression is at the heart of the technique. Measurement error is taken into account during the process, which allows an objective assessment of the robustness of fit and, therefore, the quality of the predictions. The package relies on efficient algorithms and vectorization to accomplish potentially time consuming tasks including optimization and differential equation integration. We demonstrate the efficiency and accuracy of rHVDM by examining the activity of the tumour-suppressing transcription factor, p53. AVAILABILITY The version of the package presented here (1.8.1) is freely available from the Bioconductor Web site (http://bioconductor.org/packages/2.3/bioc/html/rHVDM.html).
The role of remnant trees in carbon sequestration, vegetation structure and tree diversity of early succession regrowing fallows in eastern Sierra Leone

Remnant tree presence affects forest recovery after slash-and-burn agriculture. However, little is known about its effect on above-ground carbon stocks, especially in Africa. We focused our study on Sierra Leone, part of the Upper Guinean forests, an important centre of endemism threatened by encroachment and forest degradation. We studied 99 (20-m-radius) plots aged 2–10 years with and without remnant trees and compared their above-ground carbon stocks, vegetation structure (stem density, basal area) and tree diversity. Above-ground carbon stocks, stem density, basal area, species richness and tree diversity increased significantly with fallow age. Remnant tree presence affected significantly tree diversity, species dominance and above-ground carbon stocks, but not vegetation structure (stem density, basal area). Number of remnant trees and number of species of remnant trees were also important explanatory variables. Although other factors should be considered in future studies, such as the size and dispersal modes of remnant trees, our results highlight that more strategic inclusion of remnant trees is likely to favour carbon stock and forest recovery in old fallows. To our knowledge, this is the first study on early succession regrowing fallows in West Africa.