Miracle-dz/UniFAR-FTUs huggingface dataset:
The Bio-inspired Study of Homogeneous Composite Materials

Wool is the most popular natural material. In the textile industries, the release of a lot of waste wool fibers and their products lead to the idea of regeneration of wool keratin materials. However, the most significant limitation may be the poor fracture resistance of neat keratin films. Greater failure resistance can be achieved by fiber-reinforced matrix when compared to the matrix materials alone. In this article, the fibrils of wool were used as the reinforcements in composite films, which can meet the requirement of biocompatibility. The fibrils morphology was investigated, that is, plain fibrils and fractal-tree structure fibrils. Finite element analysis and tensile tests were used to conduct a direct study on the mechanical properties of composites. It was found that the branched fibrils lead to both higher strength and fracture toughness for the composites than the plain fibrils.
Negative beliefs about low back pain are associated with persistent high intensity low back pain

Abstract While previous cross-sectional studies have found that negative beliefs about low back pain are associated with pain intensity, the relationship between back beliefs and persistent low back pain is not well understood. This cohort study aimed to examine the role of back beliefs in persistent low back pain in community-based individuals. A hundred and ninety-two participants from a previous musculoskeletal health study were invited to take part in a two-year follow-up study. Beliefs about back pain were assessed by the Back Beliefs Questionnaire (BBQ) at baseline and low back pain intensity was measured by the Chronic Pain Grade Questionnaire at baseline and follow-up. Of the 150 respondents (78.1%), 16 (10.7%) reported persistent high intensity low back pain, 12 (8.0%) developed high intensity low back pain, in 16 (10.7%) their high intensity low back pain resolved and 106 (70.7%) experienced no high intensity low back pain. While participants were generally positive about low back pain (BBQ mean (SD) = 30.2 (6.4)), those with persistent high intensity pain reported greater negativity (BBQ mean (SD) = 22.6 (4.9)). Negative beliefs about back pain were associated with persistent high intensity low back pain after adjusting for confounders (M (SE) = 23.5 (1.6) vs. >30.1 (1.7), p < . 001). This study found negative back beliefs were associated with persistent high intensity low back pain over 2 years in community-based individuals. While further longitudinal studies are required, these findings suggest that targeting beliefs in programs designed to treat and prevent persistent high intensity low back pain may be important.
Hand segmentation with skin color fine-tuning using kinect depth sensor

The hand segmentation is the critical pre-processing of the gesture recognition application. Nowadays, to achieve a robust hand segmentation under cluttered background is still challenging. Advanced research in model-driven approach based on the depth information has obtained impressive performance. However, it is unable to deal with the hand very close to the body part. Also, a large number of marked samples are needed in training process in order to obtain the compromise results. In this paper, we proposed a hand segmentation method which combining the depth and color information without off-line pre-training. It enables automatic adaptation using depth information and skin color model. An efficient active color zone selection with an elliptical model is proposed. The experiments show that our algorithm can handle the real-time hand segmentation with cluttered and similar depth background.
Labor Market Returns to Higher Education in Vietnam

Abstract This paper employs the Ordinary Least Squares, Instrumental Variables and Treatment Effect models to a new dataset from the Vietnam Household Living Standards Survey (VHLSS) to estimate return to four-year university education in 2008. Our estimates reveal that income premium of four-year university education is about 97 percent above that of high school education, and robust to the various estimators.
Synthekines are surrogate cytokine and growth factor agonists that compel signaling through non-natural receptor dimers

Cytokine and growth-factor ligands typically signal through homo- or hetero-dimeric cell surface receptors via Janus Kinase (JAK/TYK), or Receptor Tyrosine Kinase (RTK)-mediated trans-phosphorylation. However, the number of receptor dimer pairings occurring in nature is limited to those driven by natural ligands encoded within our genome. We have engineered synthethic cytokines (synthekines) that drive formation of cytokine receptor dimer pairings that are not formed by endogenous cytokines and that are not found in nature, and which activate distinct signaling programs. We show that a wide range of non-natural cytokine receptor hetero-dimers are competent to elicit a signaling output. We engineered synthekine ligands that assembled IL-2Rβ/IL-4Rα or IL-4Rα/IFNAR2 receptor heterodimers, that do not occur naturally, triggering signaling and functional responses distinct from those activated by the endogenous cytokines IL-2, IL-4, and IFN. Furthermore, hybrid synthekine ligands that dimerized a JAK/STAT cytokine receptor with a receptor tyrosine kinase (RTK) also elicited a signaling response. Synthekines represent a new family of synthetic ligands with pre-defined receptors, but 'orphan' functions, that enable the full combinatorial scope of dimeric signaling receptors encoded within the human genome to be exploited for basic research and drug discovery. DOI: http://dx.doi. org/10.7554/eLife.22882. 001
Bioavailability of iron in cottonseed meal, ferric sulfate, and two ferrous sulfate by-products of the galvanizing industry.

Iron depletion-repletion assays were carried out with young chicks to establish Fe bioavailability values for Fe2(SO4)3.7H2O (22.7% Fe), Fe-ZnSO4.H2O (20.2% Fe, 13.0% Zn), Zn-FeSO4.H2O (20.2% Zn, 14.2% Fe), and cottonseed meal (200 mg Fe/kg). Standard hemoglobin response curves were established using feed-grade FeSO4.H2O (28.8% Fe) or reagent-grade FeSO4.7H2O (20.1% Fe) as standards such that relative bioavailability (RBV) could be assessed for the experimental sources of Fe. Weight gain, hemoglobin, and hematocrit responded linearly (P < 0.05) to Fe supplementation in all assays. Using hemoglobin as the response criterion, slope-ratio calculations established Fe RBV values of 126% for Fe-ZnSO4.H2O and 93% for Zn-FeSO4.H2O. The 126% value for Fe-ZnSO4.H2O was greater (P < 0.05) than the FeSO4.H2O standard (100%), but the 93% value for Zn-FeSO4.H2O was not different (P > 0.10) from the standard. However, evaluation of all criteria of response (hemoglobin, hematocrit, weight gain) suggested that neither Fe-ZnSO4.H2O nor Zn-FeSO4.H2O had different Fe RBV values than FeSO4.H2O. Standard-curve calculations were used for assessment of Fe RBV in Fe2(SO4)3.7H2O and cottonseed meal, as only a single level of Fe addition was studied for each of these products. Iron RBV in Fe2(SO4)3.7H2O was estimated to be 37%, whereas Fe RBV in cottonseed meal was found to be 56%. Both of these values were lower (P < 0.05) than the FeSO4 standard. The data suggest that the two new products, representing combinations of FeSO4.H2O and ZnSO4.H2O by-products of the galvanizing industry, are excellent sources of bioavailable Fe, whereas ferric sulfate and cottonseed meal are relatively poor sources of usable Fe.
Comparative Ploidy Proteomics of Candida albicans Biofilms Unraveled the Role of the AHP1 Gene in the Biofilm Persistence Against Amphotericin B*

Candida albicans is a major fungal pathogen causing lethal infections in immunocompromised patients. C. albicans forms antifungal tolerant biofilms contributing significantly to therapeutic failure. The recently established haploid C. albicans biofilm model provides a new toolbox to uncover the mechanism governing the higher antifungal tolerance of biofilms. Here, we comprehensively examined the proteomics and antifungal susceptibility of standard diploid (SC5314 and BWP17) and stable haploid (GZY792 and GZY803) strains of C. albicans biofilms. Subsequent downstream analyses identified alkyl hydroperoxide reductase 1 (AHP1) as a critical determinant of C. albicans biofilm's tolerance of amphotericin B. At 32 μg/ml of amphotericin B, GZY803 haploid biofilms showed 0.1% of persister population as compared with 1% of the diploid biofilms. AHP1 expression was found to be lower in GZY803 biofilms, and AHP1 overexpression in GZY803 restored the percentage of persister population. Consistently, deleting AHP1 in the diploid strain BWP17 caused a similar increase in amphotericin B susceptibility. AHP1 expression was also positively correlated with the antioxidant potential. Furthermore, C. albicans ira2Δ/Δ biofilms were susceptible to amphotericin B and had a diminished antioxidant capacity. Interestingly, AHP1 overexpression in the ira2Δ/Δ strain restored the antioxidant potential and enhanced the persister population against amphotericin B, and shutting down the AHP1 expression in ira2Δ/Δ biofilms reversed the effect. In conclusion, we provide evidence that the AHP1 gene critically determines the amphotericin B tolerance of C. albicans biofilms possibly by maintaining the persisters' antioxidant capacity. This finding will open up new avenues for developing therapies targeting the persister population of C. albicans biofilms. The mass spectrometry proteomics data are available via ProteomeXchange with identifier PXD004274.
OTX015 (MK-8628), a novel BET inhibitor, exhibits antitumor activity in non-small cell and small cell lung cancer models harboring different oncogenic mutations

Inhibitors targeting epigenetic control points of oncogenes offer a potential mean of blocking tumor progression in small cell and non-small cell lung carcinomas (SCLC, NSCLC). OTX015 (MK-8628) is a BET inhibitor selectively blocking BRD2/3/4. OTX015 was evaluated in a panel of NSCLC or SCLC models harboring different oncogenic mutations. Cell proliferation inhibition and cell cycle arrest were seen in sensitive NSCLC cells. MYC and MYCN were downregulated at both the mRNA and protein levels. In addition, OTX015-treatment significantly downregulated various stemness cell markers, including NANOG, Musashi-1, CD113 and EpCAM in H3122-tumors in vivo. Conversely, in SCLC models, weak antitumor activity was observed with OTX015, both in vitro and in vivo. No predictive biomarkers of OTX015 activity were identified in a large panel of candidate genes known to be affected by BET inhibition. In NSCLC models, OTX015 was equally active in both EML4-ALK positive and negative cell lines, whereas in SCLC models the presence of functional RB1 protein, which controls cell progression at G1, may be related to the final biological outcome of OTX015. Gene expression profiling in NSCLC and SCLC cell lines showed that OTX015 affects important genes and pathways with a very high overlapping between both sensitive and resistant cell lines. These data support the rationale for the OTX015 Phase Ib (NCT02259114) in solid tumors, where NSCLC patients with rearranged ALK gene or KRAS-positive mutations are currently being treated.
Glucose‐lowering effects and mechanisms of the bile acid‐sequestering resin sevelamer

Sevelamer, a non‐absorbable amine‐based resin used for treatment of hyperphosphataemia, has been demonstrated to have a marked bile acid‐binding potential alongside beneficial effects on lipid and glucose metabolism. The aim of this study was to investigate the glucose‐lowering effect and mechanism(s) of sevelamer in patients with type 2 diabetes.
Gosig: Scalable Byzantine Consensus on Adversarial Wide Area Network for Blockchains

Existing Byzantine fault tolerance (BFT) protocols face significant challenges in the consortium blockchain scenario. On the one hand, we can make little assumptions about the reliability and security of the underlying Internet. On the other hand, the applications on consortium blockchains demand a system as scalable as the Bit-coin but providing much higher performance, as well as provable safety. We present a new BFT protocol, Gosig, that combines crypto-based secret leader selection and multi-round voting in the protocol layer with implementation layer optimizations such as gossip-based message propagation. In particular, Gosig guarantees safety even in a network fully controlled by adversaries, while providing provable liveness with easy-to-achieve network connectivity assumption. On a wide area testbed consisting of 140 Amazon EC2 servers spanning 14 cities on five continents, we show that Gosig can achieve over 4,000 transactions per second with less than 1 minute transaction confirmation time.
Puffin: Graph Processing System on Multi-GPUs

Multi-GPUs nodes are becoming the platform of choice for graph processing. However, in the multiple GPUs environment, there are two main challenges in designing a graph processing system. First, the system suffers from huge communication overhead. GPUs and CPUs are connected through PCIe, whose bandwidth is far smaller than that of GPU memory. Second, the system is developed based on BSP (Bulk Synchronous Parallel) model, which results in heavy thread synchronization overhead and low resource utilization. Aiming to solve the above problems, we design a graph processing system based on multi-GPUs called Puffin. Puffin proposes a novel data representation, which meets our programming needs and has minimum storage space occupancy. Our system achieves overlap of communication and computation by developing an efficient task management scheme, which divides the task and manages the order of different kinds of tasks. Puffin also provides two different programming models and some optimization strategies to implement graph algorithms. Our experiment shows that Puffin gets significant performance improvement over other state-of-the-art approaches on GPU(s), such as Cusha and Gunrock. In addition, Puffin exhibits good scalability, specially for compute-intensive applications.
Association Between Cognitive Function and Quality of Life in Patients With Head and Neck Cancer

Importance There is a dearth of research examining the associations between cognitive function and quality of life (QoL) in patients with head and neck cancer (HNC), despite much research examining QoL and some research examining cognitive function in this population. Objective To identify the associations between cognitive functioning and QoL in patients prior to treatment for HNC within a multidisciplinary care team. Design, Setting, and Participants Case series with planned data collection of cognitive function, QoL, and psychosocial variables at an urban Midwest academic medical center including 83 patients with a diagnosis of HNC between August 2015 and December 2016 who underwent a pretreatment assessment with a clinical health psychologist and a speech and language pathologist. Main Outcomes and Measures At pretreatment assessment, the Montreal Cognitive Assessment and Functional Assessment of Cancer Therapy–Head & Neck, version 4, were administered along with a semistructured interview to gather data on psychiatric symptoms, social support, and substance use. Patient demographic, clinical, and psychosocial variables were extracted via medical record review. Results Of 83 patients (64 [77%] male; mean age, 59.54 [95% CI, 57.23-61.73] years), cognitive impairment was identified in 55% (n = 46) at pretreatment. Number of depressive symptoms (mean, 2.43 [95% CI, 2.06-2.89] symptoms) was associated with impairments in delayed recall (r = −0.28; 95% CI, −0.47 to −0.07) and all domains of QoL. Cognitive impairment in delayed recall was associated with lower QoL in both overall QoL and the domains of emotional and functional well-being. Current benzodiazepine use, history of heavy alcohol use, and current and past tobacco use were also associated with lower QoL in specific domains. Conclusions and Relevance Cognitive impairment is common in patients with HNC and is associated with QoL and psychosocial variables. Together with previous research indicating that cognitive function and QoL can influence treatment adherence and outcomes, the results argue for the incorporation of cognitive screening and QoL assessment as part of pretreatment assessment for patients.
FPGA Design and Implementation of Kinect-Like Depth Sensing

The Kinect depth sensor has become a versatile tool in different research fields due to its low cost and ease of use, yet its implementation still remains a black box to a large extent. Moreover, the accuracy and speed of Kinect are limited for certain applications. To boost the performance of Kinect while preserving its advantages, we have proposed a depth acquisition method that uses speckle patterns generated by commodity laser emitters as in Kinect, but the speckle density is modulated to allow higher accuracy depth measurement. In this paper, we present the field-programmable gate array (FPGA) design and implementation for the above Kinectlike depth sensing. To achieve a high-speed performance on a normal FPGA (Altera Stratix III EP3SL150), we elaborate the hardware architecture to realize a full-pipeline framework for the two main modules: 1) pixel-wise phase generation and 2) normalized cross-correlation-based phase unwrapping. Experiments show a reconstruction speed of 572 fps at a resolution of 640 × 480 with improved depth accuracy over Kinect and that an even higher resolution is supported. The previous pattern design and the FPGA design in this paper jointly demonstrate the feasibility of next-generation fast, accurate, and low-cost depth sensors.
TAM receptor tyrosine kinases as emerging targets of innate immune checkpoint blockade for cancer therapy

Cancer immunotherapy utilizing T‐cell checkpoint inhibitors has shown tremendous clinical success. Yet, this mode of treatment is effective in only a subset of patients. Unresponsive patients tend to have non‐T‐cell‐inflamed tumors that lack markers associated with the activation of adaptive anti‐tumor immune responses. Notably, elimination of cancer cells by T cells is critically dependent on the optimal activity of innate immune cells. Therefore, identifying new targets that regulate innate immune cell function and promote the engagement of adaptive tumoricidal responses is likely to lead to the development of improved therapies against cancer. Here, we review the TAM receptor tyrosine kinases—TYRO3, AXL, and MERTK—as an emerging class of innate immune checkpoints that participate in key steps of anti‐tumoral immunity. Namely, TAM‐mediated efferocytosis, negative regulation of dendritic cell activity, and dysregulated production of chemokines collectively favor the escape of malignant cells. Hence, disabling TAM signaling may promote engagement of adaptive immunity and complement T‐cell checkpoint blockade.
A Pilin Region Affecting Host Range of the Pseudomonas aeruginosa RNA Phage, PP7

The host range of a phage is determined primarily by phage-receptor interaction. Here, we profiled the host range of an RNA leviphage, PP7 that requires functional type IV pilus (TFP) in order to enter into its host bacterium, Pseudomonas aeruginosa. Out of 25 twitching-proficient P. aeruginosa strains, 4 with group I pilin and 7 with group III pilin displayed PP7-resistance. The remaining 14 possessed group II pilin, which included 10 PP7-sensitive and 4 PP7-resistant strains, suggesting that only the strains with TFP consisted of a subset of group II (hence, group IIa) pilin were susceptible to PP7. The co-expression of the PAO1 (group IIa) pilin rendered all the strains susceptible to PP7, with the exception of the 4 strains with group I pilin. Moreover, the expression of PA14 (group III) and PAK (group IIb) pilin in the PAO1 pilA mutant restored the twitching motility but not the PP7-suceptibility. Site-directed and random mutation analyses of PAO1 pilin enabled us to identify a pilin mutant (G96S) that is fully functional but resistant to PP7 infection. This is due to the lack of any phage-receptor interactions, suggesting the structural properties of the β1-β2 loop in the variable region 2 of the group II pilin might be involved in PP7 infection.
Investigation of Dynamic Parameters of Multilayered Microelectromechanical Membranes with Finite Element Modeling

Static and dynamic parameters of cMUT cells with layered membranes were investigated using finite elements modeling. It was found that introducing porous silicon in the middle layer of the thin films stack, forming the membrane of the cell, creates an opportunity to operate the cell at more favourable energetic conditions: the excitation voltage can be decreased by 30 %, if porous silicon with 0.5 filling factor is introduced in the middle layer of the membrane. Approximately the same or better increase of receiving sensitivity was also found. Harmonic analysis showed an increase of the electric impedance of the cell with layered membranes at the resonance frequency up to the factor of 2 with simultaneous decrease of the resonance frequency by approximately 0.6 MHz.
A New ILP-Based p-Cycle Construction Algorithm without Candidate Cycle Enumeration

The notion of p-cycle (preconfigured protection cycle) allows capacity efficient schemes to be designed for fast span protection in WDM mesh networks. Conventional p-cycle construction algorithms need to enumerate/pre-select candidate cycles before ILP (integer linear program) can be applied. In this paper, we propose a new algorithm which is only based on ILP. When the required number of p-cycles is not too large, our ILP can generate optimal/suboptimal solutions in reasonable amount of running time.
Developing the Regulatory Utility of the Exposome: Mapping Exposures for Risk Assessment through Lifestage Exposome Snapshots (LEnS)

Background: Exposome-related efforts aim to document the totality of human exposures across the lifecourse. This field has advanced rapidly in recent years but lacks practical application to risk assessment, particularly for children’s health. Objectives: Our objective was to apply the exposome to children’s health risk assessment by introducing the concept of Lifestage Exposome Snapshots (LEnS). Case studies are presented to illustrate the value of the framework. Discussion: The LEnS framework encourages organization of exposome studies based on windows of susceptibility for particular target organ systems. Such analyses will provide information regarding cumulative impacts during specific critical periods of the life course. A logical extension of this framework is that regulatory standards should analyze exposure information by target organ, rather than for a single chemical only or multiple chemicals grouped solely by mechanism of action. Conclusions: The LEnS concept is a practical refinement to the exposome that accounts for total exposures during particular windows of susceptibility in target organ systems. Application of the LEnS framework in risk assessment and regulation will improve protection of children’s health by enhancing protection of sensitive developing organ systems that are critical for lifelong health and well-being. https://doi.org/10.1289/EHP1250