Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-term oncologic outcomes of papillary thyroid microcarcinoma according to the presence of clinically apparent lymph node metastasis: a large retrospective analysis of 5,348 patients

Purpose Active surveillance (AS) of low-risk papillary thyroid microcarcinoma (PTMC) may reduce the risk of overtreatment of clinically insignificant cancer. However, the absence of predictor for the progression of PTMC resulted in treatment delay and potentially compromising cure of aggressive disease. Therefore, to anticipate potential damage of delayed surgery, we investigated the oncologic outcomes of patients with low-risk PTMC initially eligible for AS except clinically apparent lymph node metastasis (LNM), imitating delayed surgery with neck dissection. Materials and methods A total of 5,348 patients, enrolled between 1987 and 2016, with low-risk PTMC initially eligible for AS were included regardless of LNM. We classified our study patients into two groups: Group I, lobectomy with prophylactic central cervical node dissection; Group II, total thyroidectomy with modified radical neck dissection for LNM. In addition, we investigated the oncological outcomes of patients with second-wave surgery due to lateral lymph node recurrence (Group III, subgroup of Group I). Results Group I showed more favorable clinicopathological characteristics compared with Group II. In Group I, only 29 (0.58%) of 4,927 patients underwent second-wave surgery with neck dissection for lateral lymph node recurrences, whereas in Group II, all 22 (5.23%) of 421 patients underwent second-wave selective node dissection because of nodal recurrence. Disease-free survival rates were significantly different between Groups I and II (P<0.05). Of note, the recurrence rate of Group II was still significantly higher than that of Group III (5.2% vs 0%, respectively; P=0.021). In addition, Kaplan–Mayer survival analysis indicated poor disease-free survival rates in Group II compared with Group III (P<0.05). Conclusion The long-term treatment outcome of PTMC without LNM was favorable even if the recurrence occurs during follow-up period compared with that of PTMC with LNM. It should be noted that AS might be able to cause poor prognosis due to clinically apparent LNM.
Quantum Symmetric Cryptosystem Based on Algebraic Codes

A quantum cryptosystem based on algebraic codes, which uses single photons as quantum message carriers, is given. The cryptosystem is equipped with authentication, data integrity, and non-repudiation. There is no need for a parallel classical channel since public conversation is omitted. Indeed by using a suitable algebraic error-correcting code, Alice and Bob do not need to share a string of common bases. Therefore, they already share only one secret key for encryption. The secret key can be reused many times also in a noisy environment. The encryption and the decryption are similar, so the cryptosystem can be thought symmetric. Analysis shows that the cryptosystem is secure, low cost, and more practical compared with the previous ones.
An Efficient p-Trail Based Protection Algorithm With Load Balance in Electric Power Communication Network

Internet of Energy is promoting the deep integration between power grid and communication technologies, while the production, operation and service mode of the power grid are undergoing great evolutions. The expanded services need to be carried by efficient electric power communication network (EPCN). Aiming at releasing the bottleneck problem of link capacity in EPCN, we propose a pre-cross-connected trail (p-Trail)-based protection algorithm with load balance (TPLB) in this paper. First, we introduce the current statue and developing trend of EPCN and analyze traffic flow characteristics of various electric communication services. Then the protecting principles and implementing steps of the proposed TPLB algorithm are described in detail, in which an efficient load balancing algorithm is designed to groom the traffic flow. Finally, the validity and efficiency of TPLB is verified and analyzed in a real EPCN topology from a city of Jiangsu Province, China. It is demonstrated from the simulation results that compared with the existing algorithms, the proposed TPLB can further decrease the network redundancy and blocking probability, and improve the utilization of wavelength resources.
Barriers for nurses’ participation in and utilisation of clinical research in three hospitals within the Kumasi Metropolis, Ghana

Introduction Scientific research results are a necessary base for high quality nursing practice. The level of implementation of research in the clinical setting, including nurses' participation in and knowledge of research results, have gained considerable attention internationally. However, the remarkable international increase of such studies does not apply to the Ghanaian context. We therefore set out to evaluate the degree of involvement of nurses in research, as well as their utilization patterns of research findings in Ghana. Objectives: the study sought to investigate the proportion of nurses involved in clinical research as well as barriers for nurses' participation and utilization of research findings, within the Kumasi Metropolis area, Ghana. Methods A descriptive and analytical cross-sectional study design was used in this study. A 47 item questionnaire elicited data on 158 participants' demographics, the proportion and the barriers to participation, which was then analyzed using SSPS version 17 software. Qualitative interviews with key informants complemented quantitative survey data. In-depth interviews with nurse managers at the hospitals in focus was conducted and analyzed thematically. Results The study shows that 36.1% of the nurses, included in the study, had participated in research and only 25.3% of these had (knowingly) used specific research results in clinical practice. However, the level of research participation differed greatly between nurses working at different hospitals. Nurses' participation in clinical research was shown to be associated with their perception of benefit of research to practice as well as their understanding of time as a factor for them engaging in reading scientific articles. In addition, barriers associated with nurses' integration of research findings into the daily practice was their perceived lack of support from the collegium and their perception of research as not part of the nursing role. Conclusion Findings from the study suggest that there is a need to create institutional support to facilitate and encourage nurses' participation in research, yet also to formalize nurses' continuous professional development. This, could change nurses' attitudes towards research, and contribute to improving health care as it would increase nurses' role as agents for evidence based clinical practice.
Depression in Registered Nurses

Registered nurses suffer from depression at almost twice the rate of individuals in other professions. Major depression affects both employees and organizations. Depression is linked to increases in work absenteeism, short-term disability, and decreased productivity and presenteeism. Depression experienced by registered nurses may not be fully preventable, but realizing its presence and prevalence in the workplace is of vital importance. It is essential that we have a healthy, vibrant, and present registered nurse workforce to ensure that quality patient outcomes are achieved. This review of 36 articles assesses the current state of the science related to depression in registered nurses so that occupational health nurses can create pathways and work environments for better mental health for registered nurses.
Blockchain-Based E-Voting System

Building a secure electronic voting system that offers the fairness and privacy of current voting schemes, while providing the transparency and flexibility offered by electronic systems has been a challenge for a long time. In this work-in-progress paper, we evaluate an application of blockchain as a service to implement distributed electronic voting systems. The paper proposes a novel electronic voting system based on blockchain that addresses some of the limitations in existing systems and evaluates some of the popular blockchain frameworks for the purpose of constructing a blockchain-based e-voting system. In particular, we evaluate the potential of distributed ledger technologies through the description of a case study; namely, the process of an election, and the implementation of a blockchain-based application, which improves the security and decreases the cost of hosting a nationwide election.
Honest People Tend to Use Less—Not More—Profanity

This article shows that the conclusion of Feldman et al.’s (2017) Study 1 that profane individuals tend to be honest is most likely incorrect. We argue that Feldman et al.’s conclusion is based on a commonly held but erroneous assumption that higher scores on Impression Management Scales, such as the Lie Scale, are associated with trait dishonesty. Based on evidence from studies that have investigated (1) self-other agreement on Impression Management Scales, (2) the relation of Impression Management Scales with personality variables, and (3) the relation of Impression Management Scales with objective measures of cheating, we show that high scores on Impression Management Scales are associated with high—instead of low—trait honesty when measured in low-stakes conditions. Furthermore, using two data sets that included an “I never swear” item, we show that profanity use is negatively related to other reports of HEXACO honesty-humility and positively related to actual cheating.
Role of a clinical pharmacist as part of a multidisciplinary care team in the treatment of HCV in patients living with HIV/HCV coinfection

Background The objective of the study was to evaluate the role of a clinical pharmacist in hepatitis C virus (HCV) treatment of patients living with HIV/HCV coinfection. Methods We conducted a descriptive study to quantify the functions of a clinical pharmacist in HCV treatment of patients living with HIV/HCV coinfection who were initiating HCV treatment at a publicly funded clinic between March 18, 2015 and September 15, 2016. The clinical pharmacist’s role was categorized into eight categories: 1) HCV prior authorization (PA) completion; 2) HCV medication adherence counseling; 3) HCV drug-drug interaction (DDI) counseling and screening; 4) HCV medication counseling regarding common adverse events (AEs); 5) HCV counseling regarding HCV treatment outcomes and risk of reinfection; 6) ordering laboratory tests and interpretation of HCV laboratory values; 7) HIV medication AE assessment; and 8) other (including refilling medications and management of other comorbidities). Results One hundred and thirty-five patients initiated treatment during this timeframe: 77.0% were males, 56.3% non-cirrhotic, 77.0% HCV treatment-naïve, 45.9% HCV genotype 1a, and 83.0% initiated on ledipasvir/sofosbuvir. The clinical pharmacist completed 150 PAs, counseled on HCV medication adherence in 79.2% of patients, conducted HCV DDI counseling and screening in 54.2%, and monitored HCV medication AEs in 54.2%. The clinical pharmacist counseled patients on HCV treatment outcomes and risk of reinfection in 53.1%, ordered laboratory tests in 44.8%, and reported and interpreted laboratory values in 44.8%. The clinical pharmacist assessed HIV medication AEs in 54.2% of patients and participated in other activities in 42.7%. Conclusion A clinical pharmacist’s expertise as part of a multidisciplinary care team facilitates optimal treatment outcomes and provides critical support in the management of DAA therapy in individuals living with HIV/HCV coinfection.
TerrierTail: Mitigating Tail Latency of Cloud Virtual Machines

Large-scale online services parallelize sub-operations of a user’s request across a large number of physical machines (service components) so as to enhance the responsiveness. Even a temporary spike in latency of any service component can notably inflate the end-to-end delay; therefore, the tail of the latency distribution of service components has become a subject of intensive research. The key characteristics of clouds such as elasticity and on-demand resource provisioning have made clouds attractive for hosting large-scale online services wherein VMs are the building blocks of services. However, adherence to traditional hypervisor scheduling policies has led to unpredictable CPU access latencies for virtual CPUs (vCPUs) that are responsible for performing network IO processes. This has resulted in poor and unpredictable performance for network IO, exacerbating VMs’ long tail latencies and discouraging the hosting of large-scale parallel web services on virtualized clouds. This paper presents TerrierTail, a hypervisor CPU scheduler whose primary goal is to trim the tail of the latency distribution of individual VMs in virtualized clouds. In TerrierTail, we have modified the network driver to identify vCPUs that are responsible for performing network IO processes. Leveraging this information, the TerrierTail scheduler mitigates the CPU access latencies of such vCPUs using novel scheduling policies, resulting in a higher and more predictable network IO performance and therefore lower tail latency. TerrierTail’s gains come at no measurable negative impacts on other performance attributes (e.g., fairness) or on the performance of VMs running other types of workloads (e.g., CPU-intensive VMs). A prototype implementation of TerrierTail in the Xen hypervisor substantially outperforms the default Credit scheduler of Xen. For example, TerrierTail mitigates the tail latency of a Memcached server by up to 53 percent and an RPC server by up to 50 percent at 99.9th percentile.
Foix-Chavany-Marie Syndrome Induced by a Unilateral Brain Abscess

Foix-Chavany-Marie syndrome (FCMS) is a rare cortical type of pseudobulbar palsy characterized by the loss of voluntary control of the facial, pharyngeal, lingual, and masticatory muscles with preserved reflexive and autonomic functions. FCMS is generally associated with cerebrovascular diseases affecting the bilateral opercular regions. We herein report the clinical features of an 84-year-old right-handed Japanese man with FCMS due to a unilateral brain abscess. The patient’s symptoms were resolved after treating the brain abscess. The present clinical results suggest that a unilateral brain abscess in the temporal operculum with a persistent old lesion in the contralateral insular cortex can induce FCMS.
Cortical circuit activity underlying sleep slow oscillations and spindles

Significance Slow oscillations and spindles are hallmarks of the EEG during slow-wave sleep. They are thought to support memory consolidation, particularly in instances where the faster spindle nests into the “upstate” of a slow oscillation. Using two-photon and wide-field imaging, we recorded calcium transients from distinct populations of cortical excitatory and inhibitory neurons during sleep in mice. Compared with spindles or slow oscillations occurring in isolation, events where spindles nested in a slow oscillation upstate were indeed accompanied by a unique pattern of calcium activity where high pyramidal cell activity appears to concur with high perisomatic inhibition through parvalbumin-positive interneurons and with low dendritic inhibition through somatostatin-positive interneurons. These conditions might foster dendritic plasticity. Slow oscillations and sleep spindles are hallmarks of the EEG during slow-wave sleep (SWS). Both oscillatory events, especially when co-occurring in the constellation of spindles nesting in the slow oscillation upstate, are considered to support memory formation and underlying synaptic plasticity. The regulatory mechanisms of this function at the circuit level are poorly understood. Here, using two-photon imaging in mice, we relate EEG-recorded slow oscillations and spindles to calcium signals recorded from the soma of cortical putative pyramidal-like (Pyr) cells and neighboring parvalbumin-positive interneurons (PV-Ins) or somatostatin-positive interneurons (SOM-Ins). Pyr calcium activity was increased more than threefold when spindles co-occurred with slow oscillation upstates compared with slow oscillations or spindles occurring in isolation. Independent of whether or not a spindle was nested in the slow oscillation upstate, the slow oscillation downstate was preceded by enhanced calcium signal in SOM-Ins that vanished during the upstate, whereas spindles were associated with strongly increased PV-In calcium activity. Additional wide-field calcium imaging of Pyr cells confirmed the enhanced calcium activity and its widespread topography associated with spindles nested in slow oscillation upstates. In conclusion, when spindles are nested in slow oscillation upstates, maximum Pyr activity appears to concur with strong perisomatic inhibition of Pyr cells via PV-Ins and low dendritic inhibition via SOM-Ins (i.e., conditions that might optimize synaptic plasticity within local cortical circuits).
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR

Visual QA is a pivotal challenge for higher-level reasoning, requiring understanding language, vision, and relationships between many objects in a scene. Although datasets like CLEVR are designed to be unsolvable without such complex relational reasoning, some surprisingly simple feed-forward, "holistic" models have recently shown strong performance on this dataset. These models lack any kind of explicit iterative, symbolic reasoning procedure, which are hypothesized to be necessary for counting objects, narrowing down the set of relevant objects based on several attributes, etc. The reason for this strong performance is poorly understood. Hence, our work analyzes such models, and finds that minor architectural elements are crucial to performance. In particular, we find that \textit{early fusion} of language and vision provides large performance improvements. This contrasts with the late fusion approaches popular at the dawn of Visual QA. We propose a simple module we call Multimodal Core, which we hypothesize performs the fundamental operations for multimodal tasks. We believe that understanding why these elements are so important to complex question answering will aid the design of better-performing algorithms for Visual QA while minimizing hand-engineering effort.
Boundary Management Permeability and Relationship Satisfaction in Dual-Earner Couples: The Asymmetrical Gender Effect

Given the increasing use of technology and the growing blurring of the boundaries between the work and nonwork domains, decisions about when to interrupt work for family and vice versa can have critical implications for relationship satisfaction within dual-earner couples. Using a sample of 104 dual-earner couples wherein one of the partners is a member of the largest Italian smartphone-user community, this study examines how variation in boundary management permeability within dual-earner couples relates to partner relationship satisfaction, and whether the effect differed by gender and partners’ agreement on caregiving roles in the family. Using actor–partner analysis, we examined the degree to which an individual and his or her partner’s level of family-interrupting work behaviors (FIWB, e.g., taking a call from the partner while at work) and work-interrupting family behaviors (WIFB, e.g., checking work emails during family dinner) was positively related to relationship satisfaction. Results show that women experienced greater relationship satisfaction than men when their partners engaged in higher levels of FIWB, and this relationship was stronger when partners had perceptual congruence on who is primarily responsible for caregiving arrangements in the family. This study advances research on dual-earner couples by showing the importance of examining boundary management permeability as a family social phenomenon capturing transforming gender roles.
Identification of MMP28 as a biomarker for the differential diagnosis of idiopathic pulmonary fibrosis

Background and objective Idiopathic Pulmonary Fibrosis (IPF) is a progressive disease of unknown etiology. The diagnosis is based on the identification of a pattern of usual interstitial pneumonia either by high resolution computed tomography and/or histology. However, a similar pattern can be observed in other fibrotic lung disorders, and precise diagnosis remains challenging. Studies on biomarkers contributing to the differential diagnosis are scanty, and still in an exploratory phase. Our aim was to evaluate matrix metalloproteinase (MMP)-28, which has been implicated in abnormal wound healing, as a biomarker for distinguishing IPF from fibrotic non-IPF patients. Methods The cell localization of MMP28 in lungs was examined by immunohistochemistry and its serum concentration was measured by ELISA in two different populations. The derivation cohort included 82 IPF and 69 fibrotic non-IPF patients. The validation cohort involved 42 IPF and 41 fibrotic non-IPF patients. Results MMP28 was detected mainly in IPF lungs and localized in epithelial cells. In both cohorts, serum concentrations of MMP28 were significantly higher in IPF versus non-IPF (mostly with lung fibrosis associated to autoimmune diseases and chronic hypersensitivity pneumonitis) and healthy controls (ANOVA, p<0.0001). The AUC of the derivation cohort was 0.718 (95%CI, 0.635–0.800). With a cutoff point of 4.5 ng/mL, OR was 5.32 (95%CI, 2.55–11.46), and sensitivity and specificity of 70.9% and 69% respectively. The AUC of the validation cohort was 0.690 (95%CI, 0.581–0.798), OR 4.57 (95%CI, 1.76–12.04), and sensitivity and specificity of 69.6% and 66.7%. Interestingly, we found that IPF patients with definite UIP pattern on HRCT showed higher serum concentrations of MMP28 than non-IPF patients with the same pattern (7.8±4.4 versus 4.9±4.4; p = 0.04). By contrast, no differences were observed when IPF with possible UIP-pattern were compared (4.7±3.2 versus 3.9±3.0; p = 0.43). Conclusion These findings indicate that MMP28 might be a useful biomarker to improve the diagnostic certainty of IPF.
Learning to Achieve Different Levels of Adaptability for Human–Robot Collaboration Utilizing a Neuro-Dynamical System

Intelligent robots are expected to collaboratively work with humans in dynamically changing daily life environments. To realize successful human–robot collaboration, robots need to deal with latent spatiotemporal complexity in the workspace and the task. To overcome this crucial issue, three levels of adaptability—motion modification, action selection, and role switching—should be considered. This paper demonstrates that a single hierarchically organized neuro-dynamical system called a multiple timescale recurrent neural network can achieve these levels of adaptability by utilizing hierarchical and bidirectional information processing. The system is implemented in a humanoid robot and the robot is required to learn to perform collaborative tasks in which some parts must be performed by a human partner and others by the robot. Experimental results show that the robot can perform collaborative tasks under dynamically changing environments, including both learned and unlearned situations, thanks to different levels of adaptability acquired in the system.