Miracle-dz/UniFAR-FTUs huggingface dataset:
A user-specific human-machine interaction strategy for a prosthetic shank adapter

Abstract For people with lower limb amputation, a user-specific human-machine interaction with their prostheses is required to ensure safe and comfortable assistance. Especially during dynamic turning manoeuvres, users experience high loads at the stump, which decreases comfort and may lead to long-term tissue damage. Preliminary experiments with users wearing a configurable, passive torsional adaptor indicate increased comfort and safety achieved by adaptation of torsional stiffness and foot alignment. Moreover, the results show that the individual preference regarding both parameters depend on gait situation and individual preference. Hence, measured loads in the structure of the prosthesis and subjective feedback regarding comfort and safety during different turning motions are considered in a user-specific human-machine interaction strategy for a prosthetic shank adaptor. Therefore, the interrelations of gait parameters with optimal configuration are stored in an individual preference-setting matrix. Stiffness and foot alignment are actively adjusted to the optimal parameters by a parallel elastic actuator. Two subjects reported that they experienced appropriate variation of stiffness and foot alignment, a noticeable reduction of load at the stump and that they could turn with less effort.
SNX2–ABL1-positive acute lymphoblastic leukemia possibly has a poor prognosis

Qitian Mu , Lieping Guo , Yongxian Hu, Lixia Sheng, Yi Zhang, Ningning Wu, Ying Chen, Cong Shi, Songqiu Shi, Ying Wu and Guifang Ouyang Laboratory of Stem Cell Transplantation, Ningbo First Hospital, Zhejiang, P.R. China; Department of Oncology, Eastern Hepatobiliary Hospital, Third Affiliated Hospital of Second Military Medical University, Shanghai, P.R. China; Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, P.R. China; Hematology Department, Ningbo First Hospital, Zhejiang, P.R. China
APOBEC3B expression in breast cancer reflects cellular proliferation, while a deletion polymorphism is associated with immune activation

Significance Somatic mutagenesis is fundamental to the development and evolution of cancers. APOBEC3B (A3B) is a cellular deaminase, which is overexpressed in cancers and believed to be an important cause of cancer-associated mutations. The factors responsible for A3B up-regulation are unknown. Interestingly, a germ-line deletion polymorphism exists, such that a significant proportion of the global population does not express A3B protein. Using large human cancer datasets, we show that A3B expression is strongly associated with cellular proliferation. Furthermore, we identify a pattern of immune activation related to hypermutation in tumors arising in A3B deletion carriers suggesting that these patients could respond differently to immune-directed therapies. These results provide important context for the ongoing study of A3B as a therapeutic target or biomarker. Genomic sequencing studies of breast and other cancers have identified patterns of mutations that have been attributed to the endogenous mutator activity of APOBEC3B (A3B), a member of the AID/APOBEC family of cytidine deaminases. A3B gene expression is increased in many cancers, but its upstream drivers remain undefined. Furthermore, there exists a common germ-line deletion polymorphism (A3Bdel), which has been associated with a paradoxical increase in breast cancer risk. To examine causes and consequences of A3B expression and its constitutive absence in breast cancer, we analyzed two large clinically annotated genomic datasets [The Cancer Genome Atlas (TCGA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC)]. We confirmed that A3B expression is associated with aggressive clinicopathologic characteristics and adverse outcomes and show that A3B expression is highly correlated with proliferative features (mitosis and cell cycle-related gene expression) in breast and 15 of 16 other solid tumor types. However, breast cancers arising in homozygous A3Bdel individuals with A3B absent did not differ in these features, indicating that A3B expression is a reflection rather than a direct cause of increased proliferation. Using gene set enrichment analysis (GSEA), we detected a pattern of immune activation in A3Bdel breast cancers, which seems to be related to hypermutation arising in A3Bdel carriers. Together, these results provide an explanation for A3B overexpression and its prognostic effect, giving context to additional study of this mutator as a cancer biomarker or putative drug target. In addition, although immune features of A3Bdel require additional study, these findings nominate the A3Bdel polymorphism as a potential predictor for cancer immunotherapy.
Lattice : A Scalable Layer-Agnostic Packet Classification Framework

Despite widespread application, packet classification is implemented and deployed in an ad-hoc manner at different layers of the protocol stack. Moreover, high speed packet classification, in presence of a large number of classification rules, is both resource and computation intensive. We propose a scalable layer-agnostic packet classification framework (Lattice) that generalizes classifier design and enables offloading part of computation and memory requirements to collaborators (e.g., end hosts). Lattice eliminates per-packet classification and perflow states in classifiers to increase scalability and decreases vulnerability to state-based DoS attacks. Furthermore, Lattice is incentive compatible in that collaborators cannot get better service by lying, and it incentivizes deployment by giving preferential treatment to packets carrying Lattice-related information. Finally, Lattice-enabled classifiers remain semantically equivalent to their unmodified counterparts. To evaluate Lattice, we have built a prototype using the Click software router and implemented multiple Lattice-enabled classifiers. Lattice-enabled firewalls perform at least 2× faster than unmodified counterparts and scale well with the increasing number of classification rules.
Adjusting the Core and/or the Support of a Fuzzy Set - A New Approach to Fuzzy Modifiers

Fuzzy modifiers are unary operators on fuzzy sets aiming at transforming a fuzzy set into another. In this paper, we propose a new approach to construct representation for fuzzy modifiers. The approach relies on a tolerance relation modeled by a suitable parameterized proximity relation. The newly introduced fuzzy modifiers are not only endowed with clear semantics, but they result in significant changes on the constituent parts of a fuzzy set. We also show how this class of fuzzy modifiers can be applied for modeling weakening and intensifying linguistic hedges.
Therapeutic Effects of Olive and Its Derivatives on Osteoarthritis: From Bench to Bedside

Osteoarthritis is a major cause of morbidity among the elderly worldwide. It is a disease characterized by localized inflammation of the joint and destruction of cartilage, leading to loss of function. Impaired chondrocyte repair mechanisms, due to inflammation, oxidative stress and autophagy, play important roles in the pathogenesis of osteoarthritis. Olive and its derivatives, which possess anti-inflammatory, antioxidant and autophagy-enhancing activities, are suitable candidates for therapeutic interventions for osteoarthritis. This review aimed to summarize the current evidence on the effects of olive and its derivatives, on osteoarthritis and chondrocytes. The literature on animal and human studies has demonstrated a beneficial effect of olive and its derivatives on the progression of osteoarthritis. In vitro studies have suggested that the augmentation of autophagy (though sirtuin-1) and suppression of inflammation by olive polyphenols could contribute to the chondroprotective effects of olive polyphenols. More research and well-planned clinical trials are required to justify the use of olive-based treatment in osteoarthritis.
A siRNA-induced peptide co-assembly system as a peptide-based siRNA nanocarrier for cancer therapy

Herein, we report a unique siRNA-induced peptide co-assembly nanocarrier, which could efficiently co-assemble upon the addition of siRNA, forming nanospheres with high biocompatibility and transfection efficiency both in vitro and in vivo. In a tumor xenograft nude mouse model, these siRNA–peptide nanospheres inhibited tumor volume growth by >60%.
Projection friction stir spot welding: a pathway to produce strong keyhole-free welds

This paper introduces a novel facile method, called projection friction stir spot welding, to produce a keyhole-free friction stir welds based on a pinless tool method involving using a specially designed projection on the surface of the backing anvil. The projection plays two key roles contributing to the bonding mechanism and the joint strength: (i) encouraging the material flow perpendicular to the joint interface and (ii) bending the joint interface at the edge of the projection. The process enables pathway to produce keyhole-free welds with superior mechanical performance in steel sheets compared to the other spot welding techniques.
Molecular Characterization of LjSWEET3, a Sugar Transporter in Nodules of Lotus japonicus

Symbiotic nitrogen fixation in legumes contributes greatly to the global nitrogen cycle on the earth. In nodules, resident rhizobia supply nitrogen nutrient fixed from atmospheric N2 to the host plant; in turn, the plant provides photosynthetic metabolites to bacteroids as a carbon source. In this process, various transporters are involved at different membrane systems; however, little is known at the molecular level about the flow of carbon from the host cells to the symbiotic bacteria. We have been studying transporters functioning in nodules of Lotus japonicus, and found that out of 13 SWEET genes in the L. japonicus genome LjSWEET3, a member of the SWEET transporter family, is highly expressed in nodules. The SWEET family was first identified in Arabidopsis, where members of the family are involved in phloem loading, nectar secretion, pollen nutrition and seed filling. The expression of LjSWEET3 strongly increased during nodule development and reached the highest level in mature nodules. Histochemical analysis using L. japonicus plants transformed with LjSWEET3 promoter:GUS (β-glucuronidase) showed strong expression in the vascular systems of nodules. Analysis of an LjSWEET3-green fluorescent protein (GFP) fusion expressed in Nicotiana banthamiana and Coptis japonica indicates that LjSWEET3 localizes to the plasma membrane. Together these data are consistent with a role for LjSWEET3 in sugar translocation towards nodules and also suggest the possible existence of multiple routes of carbon supply into nodules.
A fault modeling technique to test memory BIST algorithms

The amount of memory being embedded on chip is growing rapidly. This strongly implies that memory built-in-self-test (BIST) logic assumes utmost importance amongst all on chip self test logic. Therefore the BIST logic should be comprehensively validated before fabrication. The key to this achievement lies in a robust memory fault model. In this paper we propose a novel fault modeling technique. This technique can scale to emulate any kind of memory architecture currently in use. The memory architecture and the location of any fault that can occur in the cell array are represented in terms of equations. The technique applies these equations and calculates an address where the fault can be modeled.
Insights from physiology into myometrial function and dysfunction

What is the topic of this review? I focus on clinical aspects of uterine physiology, specifically, myometrial contractility. I bring together and contrast findings using physiological approaches and those using newer techniques, ‘omics’. What advances does it highlight? Physiological studies have recently shed light on the myometrium in twin pregnancies, but there have been no ‘omic’ approaches. In contrast, studies of preterm delivery using newer approaches are generating new research avenues, whereas traditional approaches have not flourished. Finally, I describe significant advances in understanding of ‘slow‐to‐progress’ labours, achieved using physiological and clinical approaches.
An Effective and Robust Framework for Transliteration Exploration

Transliteration is the process of proper name translation based on pronunciation. It is an important process in many multilingual natural language tasks. A common and essential component of transliteration approaches is a verification mechanism that tests if the two names in different languages are translations of each other. Although many transliteration systems have verification as a component, verification as a stand-alone problem is relatively new. In this paper, we propose a simple, effective and robust training framework for the task of verification. We show the many applications of the verification techniques. Our proposed method can operate on both phonemic and orthographic inputs. Our best results show that a simple, straightforward orthographic representation is sufficient and no complex training method is needed. It is effective because it achieves remarkable accuracies. It is robust because it is language-independent. We show that on Chinese and Korean our technique achieves equal error rate well below 1% and around 1% for Japanese using 2009 and 2010 NEWS transliteration generation share task dataset. Our results also show that the orthographic system outperforms the phonemic system. This is especially encouraging because the orthographic inputs are easier to generate and secondly, one does not need to resort to more complex training algorithm to achieve excellent results. This approach is integrated for proper name based cross lingual information retrieval without translation. 1
Hybrid Artificial Algae Algorithm for global optimization

In this paper a new Hybrid Artificial Algae Algorithm (HAAA) is presented. This algorithm is developed by hybridizing artificial algae algorithm and simplex search method. To check the validity of HAAA, seven Unimodal and five multimodal benchmark functions taken from cec'05 is test. The proposed HAAA is also applied to solve 40 generator economic load dispatch problem to check its real world problem solving capability. The results obtained by HAAA shows that it is a robust algorithm and may be an efficient optimizer for many other real world optimization problems.
Kinetics of intermetallic compound layers during initial period of reaction between mild steel and molten aluminum

Abstract Hot dip aluminizing of mild steel at different temperatures was conducted to reveal the influence of reaction temperature and time on interfacial intermetallic compounds (IMCs). Scanning electron microscopy, energy dispersive X-ray spectrometry and X-ray diffraction were employed to investigate the interfacial microstructures. The IMCs of the dipping interface consisted of a thick layer of η-Fe2Al5 between 4.2–132.2 μm next to the steel and a thin layer of θ-Fe4Al13 between 0–5.5 μm close to the aluminum. With increasing dipping temperature and time, the total thickness of IMCs (Fe2Al5 plus Fe4Al13) increased. Specifically, the growth of the Fe2Al5 layer can be described by parabolic rate laws. An activation energy of 93 kJ mol−1 was obtained, combining both the results from the present work and previous studies in the temperature range of 675–900°C. The change in Fe4Al13 thickness is not significant compared with the Fe2Al5. However, the decrease in IMC thickness of the Fe4Al13 with dipping temperature was observed for the first time and had never been reported before. Moreover, it can be clearly observed that the thickness of the Fe4Al13 decreased with dipping time based on the linear fitting results by excluding the result of the initial 1 s. A possible mechanism is that interfacial dynamics and thermodynamics work for the dissolution and decomposition of the Fe4Al13 layer. Higher temperature accelerates the dissolution of the θ layer.
Recommendation based on trust and distrust social relationships

Recommender system has become increasingly popular in recent years, since it is an effective way to solve the problem of information overload problem. But it is still subject to some inherent problems, such as data sparseness and cold start. Many studies show that the integration of social network information is a very effective way to solve such issues. The studies on recommendation methods that incorporate social relationships, not only take into account the preferences of the user for the item, but also the interaction between the users according to their behavior and the social relationships. And now, the application of social relationships has extended from the trust relationships to the distrust relationships. While the collaborative filtering is the most important and widely used recommendation method, there is little work on combining with trust and distrust social network relationships. So, this paper proposes the methods of integration the trust and distrust social relationships, TDUCF1 and TDUCF2, and with the improved cosine similarity, to improve the collaborative filtering recommendation algorithm, which combined the users' trust and distrust social relationships, and effectively alleviated the sparseness. The experimental results show that the proposed methods outperform the state-of-art algorithms.
Repeatability of Rest and Hyperemic Myocardial Blood Flow Measurements with 82Rb Dynamic PET

The repeatability of rest and hyperemic myocardial blood flow (MBF) measurements using 82Rb PET has not been evaluated. The aim of this study was to investigate the short-term repeatability of such measurements. Methods: Fifteen healthy volunteers underwent rest and pharmacologic stress 82Rb PET, repeated 60 min apart. Results: There was no significant difference in repeated rest MBF (0.77 ± 0.25 vs. 0.82 ± 0.25 mL/min/g, P = 0.31; mean difference, 6.18% ± 12.22%) or repeated hyperemic MBF (3.35 ± 1.37 vs. 3.39 ± 1.37 mL/min/g, P = 0.81; mean difference, 1.17% ± 13.64%). The repeatability coefficients were 0.19 mL/min/g for rest MBF and 0.92 mL/min/g for hyperemia. Conclusion: MBF using 82Rb is highly reproducible using a same-day short-term repeatability protocol. Serial MBF measurements with 82Rb PET should have the ability to quantify the acute effects of therapeutic interventions on MBF.
Panel: Extending Conversations about Gender and HCI

This panel aims to create a space for participants at CHI 2018 to see how far we have come as a community in raising and addressing issues of gender, and how far we have yet to go. Our intent is for open discussion to support the community's intentions to move towards greater equity, inclusivity, and diversity.
Measuring goodness of story narratives.

PURPOSE The purpose of this article was to evaluate a new measure of story narrative performance: story completeness. It was hypothesized that by combining organizational (story grammar) and completeness measures, story "goodness" could be quantified. METHOD Discourse samples from 46 typically developing adults were compared with those from 24 adults with acquired brain injuries. Story retellings were elicited and analyzed for episode structure (story grammar). Each story was also evaluated for the presence of 5 key components, yielding the story completeness score. Story goodness was quantified by combining the story grammar and completeness measures using a 2-coordinate grid system. A multivariate analysis of variance was performed as well as correlational analyses between the story grammar and story completeness scores. RESULTS There were significant group differences on both story grammar and story completeness. Moderate correlations were noted between the 2 measures, suggesting that the indices were not entirely measuring the same abilities. Plotting the 2 sets of scores into quadrants discriminated the comparison group and the group with brain injury into 4 distinct categories of story "goodness. " CONCLUSION The combination of measures provided a more accurate depiction of discourse performance than either measure alone. Results suggest the measure is sensitive, is reliable, and has potential utility for investigating discourse deficits in clinical populations.
Use of nitrates in ischemic heart disease

Short-acting nitrates are beneficial in acute myocardial ischemia. However, many unresolved questions remain about the use of long-acting nitrates in stable ischemic heart disease. The use of long-acting nitrates is weakened by the development of endothelial dysfunction and tolerance. Also, we currently ignore whether lower doses of transdermal nitroglycerin would be better than those presently used. Multivariate analysis data from large nonrandomized studies suggested that long-acting nitrates increase the incidence of acute coronary syndromes, while data from another multivariate study indicate that they have positive effects. Because of methodological differences and open questions, the two studies cannot be compared. A study in Japanese patients with vasospastic angina has shown that, when compared with calcium antagonists, long-acting nitrates do not improve long-term prognosis and that the risk for cardiac adverse events increases with the combined therapy. We have many unanswered questions.
Depression and Resilience in Breast Cancer Patients

OBJECTIVE: A significant number of breast cancer patients, during their life with the diagnosis, experience emotional distress in the form of depression and anxiety. Psychological resilience is the ability of a person to protect his/her mental health when faced with adverse circumstances such as the cancer diagnosis. This study aims to assess the resilience in breast cancer patients and to explore whether depression affects the resilience. MATERIAL AND METHODS: Two hundred eighteen (218) women, treated for early breast cancer responded to Connor - Davidson Resilience Scale and Hospital Depression and Anxiety Scale, in order to assess the level of psychological resilience and the level of depression. RESULTS: There is a significant negative correlation between depression and resilience in our sample (r = - 0.562, p < 0.001). Individuals with higher levels of depression have lower levels of psychological resilience. There is no statistically significant correlation between the ages of the participants; time passed since diagnosis, cancer stage and resilience levels. CONCLUSION: This study shows that patients who are less depressed have higher levels of resilience and that psychological resilience may independently contribute to lower levels of depression among breast cancer patients. The level of psychological resilience may be a protective factor for depression and psychological distress.
Biomechanical Power Generated by Forearm Flexion1

A discrete voluntary ballistic forearm flexion in the sagittal plane was investigated. Interrupted-light photographs were taken of the movement. The photographs provided the basic data from which the fundamental kinematic relationships for this type of motion were formulated. Empirical equations were determined, and their application to the power developed at the elbow joint during conditions of weightlessness shown graphically.
Research Ethics for HCI: A Roundtable Discussion

An ongoing challenge within the HCI research community is the development of community norms for research ethics in the face of evolving technology and methods. Building upon a successful town hall meeting at CHI 2017, this panel will include members of the SIGCHI Research Ethics Committee, but will be structured to facilitate a roundtable discussion and to collect input about current challenges and processes. The panel will pose open questions and invite audience discussion of best practices focused on issues such as cultural and disciplinary differences in ethical norms. There will also be discussion of how ethical issues are handled in SIGCHI paper submission and reviews, processes for how we might create and disseminate ethics resources, and regulatory issues such as the recent IRB changes for U.S. institutions.