Miracle-dz/UniFAR-FTUs huggingface dataset:
Asymptotic Scaling Laws of Wireless Ad Hoc Network With Physical Layer Caching

We propose a physical layer (PHY) caching scheme for wireless ad hoc networks. The PHY caching exploits cache-assisted multihop gain and cache-induced dual-layer CoMP gain, which substantially improves the throughput of wireless ad hoc networks. In particular, the PHY caching scheme contains a novel PHY transmission mode called the cache-induced dual-layer CoMP, which can support homogeneous opportunistic CoMP in the wireless ad hoc network. Compared with traditional per-node throughput scaling results of Θ ( 1/√N ), we can achieve O(1) per node throughput for a cached wireless ad hoc network with N nodes. Moreover, we analyze the throughput of the PHY caching scheme for regular wireless ad hoc networks and study the impact of various system parameters on the PHY caching gain.
Applicability of 3D-dental reconstruction in cervical odontometrics.

OBJECTIVES The objective of this study was to assess the accuracy, reliability, and reproducibility of computed tomography (CT) images in measuring cervical mesiodistal and buccolingual tooth sizes, by comparing the values obtained by 3D virtual models from CT images with those obtained using digital calipers. MATERIALS AND METHODS In total, 530 maxillary and mandibular teeth of 51 individuals from two Iron Age sites were scanned using a Siemens Somatom sensation 64-slice computed tomography machine, and the images were reconstructed and measured. Values obtained by direct measurement served as the primary reference for cervical measurements. Intra- and inter-observer reliability was assessed by calculating technical error of measurements (TEM), relative technical error of measurements (rTEM), and the coefficient of reliability (R). RESULTS Results showed that virtual cervical measurements were not significantly different from the actual measurements, and the correlation of the two measurement methods shows that the methods are comparable. Inter- and intra-observer error analysis also indicated high replicability of measurements with both measuring methods (R > 0.99). The rTEM values for all the measurements were below the 5% standards for anthropometric studies. DISCUSSION CT is a non-invasive technique that allows for an accurate and detailed visualization of morphological features without causing any damage to teeth. Our findings indicate that virtual odontometric analysis is a reliable method, similar to traditional physical odontometric analysis. Currently, the virtual system is likely to be more suitable for fragile specimens, such as archaeological samples.
Two-Dimensional Molecular Dynamics Simulation for Studying of Grain Refinement

The molecular dynamics simulation method in two-dimensional case is presented for the simulation of grain refinement and can be applied to the investigation of grain boundary sliding and defects movement under severe plastic deformation. Nanopolycrystalline system is shown as the example of the application of the method proposed. Atomistic details of structure formation and grain growth (refinement) are shown by the example of change of loading scheme. It was shown that elongated grains which appear under plastic deformation can grow up even larger or be destroyed, depending on the direction of the applied maximal shear stresses.
Intersections and evolution of ‘Butch-trans’ categories in Puerto Rico: Needs and barriers of an invisible population

ABSTRACT Public health research among transgender populations globally has primarily focused on HIV/AIDS. However, trans men remain outside of this conceptual framework, with distinct but overlapping social contexts and needs. In Puerto Rico (PR), the trans men population has remained largely hidden within the ‘butch’ lesbian community. The objective of this article is to document the identity construction of trans men and ‘buchas’ (local term to refer to butch lesbians) in PR and its relation to their bodily practices and overall health. We conducted an exploratory qualitative study with 29 trans men and buchas based on ethnographic observation, focus groups, audio-recorded in-depth interviews, and critical discourse analysis. Findings emphasise two domains to be addressed by health policies and initiatives: (1) bodily representations and gender performance, and (2) the meanings of female biological processes. This small-scale ethnographic study represents an initial step towards understanding the social context of this ‘invisible’ community and significant implications for their health and well-being. We provide several recommendations to address public health concerns of this understudied, marginalised community.
Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine

Sensor drift is a common issue in E-Nose systems and various drift compensation methods have received fruitful results in recent years. Although the accuracy for recognizing diverse gases under drift conditions has been largely enhanced, few of these methods considered online processing scenarios. In this paper, we focus on building online drift compensation model by transforming two domain adaptation based methods into their online learning versions, which allow the recognition models to adapt to the changes of sensor responses in a time-efficient manner without losing the high accuracy. Experimental results using three different settings confirm that the proposed methods save large processing time when compared with their offline versions, and outperform other drift compensation methods in recognition accuracy.
Role of ischemic preconditioning in hepatic ischemia-reperfusion injury.

BACKGROUND Investigation into less traumatic method of vascular occlusion during liver resection is the actual problem in hepatic surgery because of high level of complications such as liver failure. In this connection, the goal of our study was to determine the optimal model of vascular clamping. The research showed that vascular occlusion with ischemic preconditioning in the mode 5/10/15 the most delicate technique. METHODS Forty white giant rabbits were divided randomly into four groups (n=10 in each group). In group I we used continuous Pringle maneuver by 30 min. In group II we used intermittent Pringle maneuver: 15 min of clamping/5 min of unclamping (reperfusion)/15 min of clamping. In group III we used intermittent Pringle maneuver with ischemic precondition: 5 min of ischemia/5 min of reperfusion, 10 min of ischemia/5 min of reperfusion/15 min of ischemia. Group IV (control group) is without hepatic ischemia. All animals were performed a liver biopsy at the end of the surgery. Five rabbits from each group underwent re-laparotomy on day 3 after surgery with biopsy samples being taken for studying reparative processes in liver parenchyma. RESULTS Results of morphometric analysis were the best to illustrate different level of liver injury in the groups. Thus, there were 95.5% damaged hepatocytes after vascular occlusion in hepatic preparations in group I, 70.3% damaged hepatocytes in group II, and 42.3% damaged hepatocytes in group III. There were 5.3% damaged hepatocytes in the control group. CONCLUSIONS Vascular occlusion with ischemic preconditioning in the mode 5/10/15 the most delicate technique that does not involve major structural injuries and functional disorders in the remnant liver. Thus, it is amenable to translation into clinical practice and may improve outcomes in liver resection with inflow vascular occlusion.
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-Offs between Performance and Cost

Bag of Distributed Tasks (BoDT) can benefit from decentralised execution on the Cloud. However, there is a trade-off between the performance that can be achieved by employing a large number of Cloud VMs for the tasks and the monetary constraints that are often placed by a user. The research reported in this paper is motivated towards investigating this trade-off so that an optimal plan for deploying BoDT applications on the cloud can be generated. A heuristic algorithm, which considers the user's preference of performance and cost is proposed and implemented. The feasibility of the algorithm is demonstrated by generating execution plans for a sample application. The key result is that the algorithm generates optimal execution plans for the application over 91% of the time.
All-Cause and Acute Pancreatitis Health Care Costs in Patients With Severe Hypertriglyceridemia

Objective The aim of this study was to assess health care utilization and costs related to acute pancreatitis (AP) in patients with severe hypertriglyceridemia (sHTG) levels. Methods Patients with sHTG levels 1000 mg/dL or higher were identified from January 1, 2007, to June 30, 2013. The first identified incident triglyceride level was labeled as index date. All-cause, AP-related health care visits, and mean total all-cause costs in patients with and without AP were compared during 12 months postindex. A generalized linear model regression was used to compare costs while controlling for patient characteristics and comorbidities. Results Five thousand five hundred fifty sHTG patients were identified, and 5.4% of these patients developed AP during postindex. Patients with AP had significantly (P < 0.05) more all-cause outpatient visits, hospitalizations, longer length of stays during the hospital visits, and emergency department visits versus patients without AP. Mean (SD) unadjusted all-cause health care costs in the 12 months postindex were $25,343 ($33,139) for patients with AP compared with $15,195 ($24,040) for patients with no AP. The regression showed annual all-cause costs were 49.9% higher (P < 0.01) for patients with AP versus without AP. Conclusions Patients who developed AP were associated with higher costs; managing patients with sHTG at risk of developing AP may help reduce unnecessary costs.
Impact of histological subtype on survival in patients with locally advanced cervical cancer that were treated with definitive radiotherapy: adenocarcinoma/adenosquamous carcinoma versus squamous cell carcinoma

Objective To compare the survival outcomes of patients with cervical squamous cell carcinoma (SCC) and adenocarcinoma/adenosquamous carcinoma (AC/ASC) among patients with locally advanced cervical cancer that were treated with definitive radiotherapy. Methods The baseline characteristics and outcome data of patients with locally advanced cervical cancer who were treated with definitive radiotherapy between November 1993 and February 2014 were collected and retrospectively reviewed. A Cox proportional hazards regression model was used to investigate the prognostic significance of AC/ASC histology. Results The patients with AC/ASC of the cervix exhibited significantly shorter overall survival (OS) (p=0.004) and progression-free survival (PFS) (p=0.002) than the patients with SCC of the cervix. Multivariate analysis showed that AC/ASC histology was an independent negative prognostic factor for PFS. Among the patients who displayed AC/ASC histology, larger tumor size, older age, and incomplete response to radiotherapy were found to be independent prognostic factors. PFS was inversely associated with the number of poor prognostic factors the patients exhibited (the estimated 1-year PFS rates; 100.0%, 77.8%, 42.8%, 0.0% for 0, 1, 2, 3 factors, respectively). Conclusion Locally advanced cervical cancer patients with AC/ASC histology experience significantly worse survival outcomes than those with SCC. Further clinical studies are warranted to develop a concurrent chemoradiotherapy (CCRT) protocol that is specifically tailored to locally advanced cervical AC/ASC.
Tissue‐specific network‐based genome wide study of amygdala imaging phenotypes to identify functional interaction modules

Motivation Network‐based genome‐wide association studies (GWAS) aim to identify functional modules from biological networks that are enriched by top GWAS findings. Although gene functions are relevant to tissue context, most existing methods analyze tissue‐free networks without reflecting phenotypic specificity. Results We propose a novel module identification framework for imaging genetic studies using the tissue‐specific functional interaction network. Our method includes three steps: (i) re‐prioritize imaging GWAS findings by applying machine learning methods to incorporate network topological information and enhance the connectivity among top genes; (ii) detect densely connected modules based on interactions among top re‐prioritized genes; and (iii) identify phenotype‐relevant modules enriched by top GWAS findings. We demonstrate our method on the GWAS of [18F]FDG‐PET measures in the amygdala region using the imaging genetic data from the Alzheimer's Disease Neuroimaging Initiative, and map the GWAS results onto the amygdala‐specific functional interaction network. The proposed network‐based GWAS method can effectively detect densely connected modules enriched by top GWAS findings. Tissue‐specific functional network can provide precise context to help explore the collective effects of genes with biologically meaningful interactions specific to the studied phenotype. Availability and implementation The R code and sample data are freely available at http://www.iu.edu/shenlab/tools/gwasmodule/ Contact shenli@iu.edu Supplementary information Supplementary data are available at Bioinformatics online.
Some Weighted Aggregation Operators of Trapezoidal Neutrosophic Numbers and Their Multiple Attribute Decision Making Method

This paper proposes the concepts of a neutrosophic number and a trapezoidal neutrosophic number (TNN), the basic operational relations of TNNs, and the score function of TNN. Then, we develop a trapezoidal neutrosophic weighted arithmetic averaging (TNWAA) operator and a trapezoidal neutrosophic weighted geometric averaging (TNWGA) operator to aggregate TNN information and investigate their properties. Furthermore, a multiple attribute decision making method based on the TNWAA and TNWGA operators and the score function of TNN is established under a TNN environment. Finally, an illustrative example of investment alternatives is given to demonstrate the application and effectiveness of the developed approach.
Towards semantic search and inference in electronic medical records: An approach using concept--based information retrieval.

BACKGROUND This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching. AIM The concept-based approach is intended to overcome specific challenges we identified in searching medical records. METHOD Queries and documents were transformed from their term-based originals into medical concepts as defined by the SNOMED-CT ontology. RESULTS Evaluation on a real-world collection of medical records showed our concept-based approach outperformed a keyword baseline by 25% in Mean Average Precision. CONCLUSION The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.
Distributed Sensor Network-on-Chip for Performance Optimization of Soft-Error-Tolerant Multiprocessor System-on-Chip

As transistor density continues to increase with the advent of nanotechnology, reliability issues raised by more frequently appeared soft errors are becoming even more critical to the next-generation multiprocessor systems. In this paper, we present a systematic approach to address the soft-error problem in multiprocessor system-on-chip with the consideration of system performance optimization. To guarantee the system correctness, a hardware-software collaborated approach is proposed to protect the processors from soft errors. Tiny hardware sensors are embedded in the processor cores to detect the soft errors, and the software-based rollback scheduling mechanisms are applied for error recovery. The protection costs on hardware duplication and software redundancy are effectively reduced. To optimize the system performance, a distributed control system is built on top of the on-chip communication network and collaboratively manages the entire chip for application execution. With the cluster-based task migration techniques, an efficient runtime task remapping and rescheduling algorithm is proposed to further mitigate the overheads induced by soft-error protection and to minimize the total performance degradation. The distributed control strategy makes the system more adaptable and flexible to the development of the next-generation hardware and software with larger scales. Extensive performance evaluations using SystemC-based cycle-accurate simulations on a set of real-world applications show that our approach has on average 49% performance improvement and 79.6% energy consumption reduction compared with the related state-of-the-art techniques, and hardware synthesis results show that our approach only introduces 2.9% chip area overheads.
Screening of plant growth promoting bacteria associated with barley plants (Hordeum vulgare L.) cultivated in South Brazil

The occurrence of associations between bacteria and plant roots may be beneficial, neutral or detrimental. Plant growth promoting (PGP) bacteria form a heterogeneous group of beneficial microorganisms that can be found in the rhizosphere, the root surfaces or in association with host plant. The aim of this study was to isolate and characterize PGP bacteria associated to barley plants (Hordeum vulgare L.) aiming a future application as agricultural inoculant. One hundred and sixty bacterial strains were isolated from roots or rhizospheric soil of barley based on their growth in nitrogen-free selective media. They were evaluated for their ability to produce indolic compounds (ICs) and siderophores, and to solubilize tricalcium phosphate inin vitro assays. Most of them (74%) were able to synthesize ICs in the presence of the precursor L-tryptophan, while 57% of the isolates produced siderophores in Fe-limited liquid medium, and 17% were able to solubilize tricalcium phosphate. Thirty-two isolates possessing different PGP characteristics were identified by partial sequencing of their 16S rRNA gene. Strains belonging to Cedecea andMicrobacterium genera promoted the growth of barley plants in insoluble phosphate conditions, indicating that these bacteria could be used as bioinoculants contributing to decrease the amount of fertilizers applied in barley crops.
Natural Language to Structured Query Generation via Meta-Learning

In conventional supervised training, a model is trained to fit all the training examples. However, having a monolithic model may not always be the best strategy, as examples could vary widely. In this work, we explore a different learning protocol that treats each example as a unique pseudo-task, by reducing the original learning problem to a few-shot meta-learning scenario with the help of a domain-dependent relevance function. When evaluated on the WikiSQL dataset, our approach leads to faster convergence and achieves 1.1%–5.4% absolute accuracy gains over the non-meta-learning counterparts.
Prospective purification and characterization of Müller glia in the mouse retina regeneration assay

Reactive gliosis is an umbrella term for various glia functions in neurodegenerative diseases and upon injury. Specifically, Müller glia (MG) in some species readily regenerate retinal neurons to restore vision loss after insult, whereas mammalian MG respond by reactive gliosis—a heterogeneous response which frequently includes cell hypertrophy and proliferation. Limited regeneration has been stimulated in mammals, with a higher propensity in young MG, and in vitro compared to in vivo, but the underlying processes are unknown. To facilitate studies on the mechanisms regulating and limiting glia functions, we developed a strategy to purify glia and their progeny by fluorescence‐activated cell sorting. Dual‐transgenic nuclear reporter mice, which label neurons and glia with red and green fluorescent proteins, respectively, have enabled MG enrichment up to 93% purity. We applied this approach to MG in a mouse retina regeneration ex vivo assay. Combined cell size and cell cycle analysis indicates that most MG hypertrophy and a subpopulation proliferates which, over time, become even larger in cell size than the ones that do not proliferate. MG undergo timed differential genomic changes in genes controlling stemness and neurogenic competence; and glial markers are downregulated. Genes that are potentially required for, or associated with, regeneration and reactive gliosis are differentially regulated by retina explant culture time, epidermal growth factor stimulation, and animal age. Thus, MG enrichment facilitates cellular and molecular studies which, in combination with the mouse retina regeneration assay, provide an experimental approach for deciphering mechanisms that possibly regulate reactive gliosis and limit regeneration in mammals.
Soil-Transmitted Helminthiasis and Schistosomiasis in Children of Poor Families in Leyte, Philippines: Lessons for Disease Prevention and Control

Objective Neglected tropical diseases (NTDs) continue to be a public health problem in the Philippines. We assessed the association of soil-transmitted helminthiasis (STH) and schistosomiasis with selected health-related and socioeconomic variables in four villages in Leyte, Philippines. Methods Stool specimens from 418 adults and 533 of their children from 209 families were examined through the Kato-Katz technique. Results STH and schistosomiasis were present in 64.6% and 12.5%, respectively, of study participants. Analysis through the generalized linear mixed model revealed a number of associations between infection in parents and their children. Findings indicate that years of disease prevention and control efforts in these areas have been unable to bring down prevalence in children and their parents. Eliminating NTDs as public health problems will require a systems thinking approach beyond implementation of vertical control programs alone.
Sclerostin Antibody Augments the Anabolic Bone Formation Response in a Mouse Model of Mechanical Tibial Loading

Decreased activity or expression of sclerostin, an endogenous inhibitor of Wnt/β‐catenin signaling, results in increased bone formation and mass. Antibodies targeting and neutralizing sclerostin (Scl‐Ab) have been shown to increase bone mass and reduce fracture risk. Sclerostin is also important in modulating the response of bone to changes in its biomechanical environment. However, the effects of Scl‐Ab on mechanotransduction are unclear, and it was speculated that the loading response may be altered for individuals receiving Scl‐Ab therapy. To address this, we carried out a 2‐week study of tibial cyclic compressive loading on C57Bl/6 mice treated with vehicle or 100 mg/kg/wk Scl‐Ab. Increases in bone volume, density, and dynamic bone formation were found with loading, and the anabolic response was further increased by the combination of load and Scl‐Ab. To investigate the underlying mechanism, gene profiling by RNA sequencing (RNAseq) was performed on tibias isolated from mice from all four experimental groups. Major alterations in Wnt/β‐catenin gene expression were found with tibial loading, however not with Scl‐Ab treatment alone. Notably, the combination of load and Scl‐Ab elicited a synergistic response from a number of specific Wnt‐related and mechanotransduction factors. An unexpected finding was significant upregulation of factors in the Rho GTPase signaling pathway with combination treatment. In summary, combination therapy had a more profound anabolic response than either Scl‐Ab or loading treatment alone. The Wnt/β‐catenin and Rho GTPase pathways were implicated within bone mechanotransduction and support the concept that bone mechanotransduction is likely to encompass a number of interconnected signaling pathways. © 2017 American Society for Bone and Mineral Research.