Miracle-dz/UniFAR-FTUs huggingface dataset:
Usefulness of serum D‑dimer for preoperative diagnosis of infected nonunion after open reduction and internal fixation

Purpose Infected nonunion after open reduction internal fixation (ORIF) is a serious complication. The aim of this study was to evaluate the usefulness of serum D-dimer for preoperative diagnosis of infected nonunion. Patients and methods Patients undergoing debridement and external fixation for infected nonunion (n=32) and replacement of internal fixation due to aseptic failure (n=34) were enrolled and compared in this retrospective study. The optimum cutoff value of D-dimer for identification of infected nonunion was determined by calculating the Youden J statistic. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of four preoperative laboratory parameters—serum D-dimer level, white blood cell (WBC) count, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP)—for diagnosis of infected nonunion were compared. Results Serum D-dimer level was significantly higher in patients with infected nonunion than in patients with aseptic nonunion: 2.62 mg/mL (range, 0.13–11.90 mg/mL) vs 0.35 mg/mL (range, 0.07–6.46 mg/mL; p<0.001). WBC count, CRP, and ESR demonstrated sensitivity of 12.5% (95% CI: 4.08–29.93), 40.6% (95% CI: 24.22–59.21), and 56.3% (95% CI: 37.88–73.16), respectively, and specificity of 94.1% (95% CI: 78.94–98.97), 88.2% (95% CI: 71.61–96.16), and 85.3% (95% CI: 68.17–94.46), respectively. Using the Youden index, 1.70 mg/mL was determined as the optimal threshold value for serum D-dimer for the diagnosis of infected nonunion. The sensitivity and specificity of serum D-dimer (>1.70 mg/mL) were 75.0% (95% CI: 56.25–87.87) and 91.2% (95% CI: 75.19–97.69). Conclusions Serum D-dimer level may be useful for preoperative prediction of infected nonunion in patients after ORIF.
Sensitivity analysis for data mining

An important issue of data mining is how to transfer data into information, the information into action, and the action into value or profit. This paper presents a study on applying sensitivity analysis to neural network models for a particular area in data mining, interesting mining and profit mining. Applying sensitivity analysis to neural network models rather than just regression models can help us identify sensible factors that play important roles to dependent variables such as total profit in a dynamic environment.
Evolutionary persistence of insect bunyavirus infection despite host acquisition and expression of the viral nucleoprotein gene

Abstract How insects combat RNA virus infection is a subject of intensive research owing to its importance in insect health, virus evolution, and disease transmission. In recent years, a pair of potentially linked phenomena have come to light as a result of this work—first, the pervasive production of viral DNA from exogenous nonretroviral RNA in infected individuals, and second, the widespread distribution of nonretroviral integrated RNA virus sequences (NIRVs) in the genomes of diverse eukaryotes. The evolutionary consequences of NIRVs for viruses are unclear and the field would benefit from studies of natural virus infections co-occurring with recent integrations, an exceedingly rare circumstance in the literature. Here, we provide evidence that a novel insect-infecting phasmavirus (Order Bunyavirales) has been persisting in a phantom midge host, Chaoborus americanus, for millions of years. Interestingly, the infection persists despite the host’s acquisition (during the Pliocene), fixation, and expression of the viral nucleoprotein gene. We show that virus prevalence and geographic distribution are high and broad, comparable to the host-specific infections reported in other phantom midges. Short-read mapping analyses identified a lower abundance of the nucleoprotein-encoding genome segment in this virus relative to related viruses. Finally, the novel virus has facilitated the first substitution rate estimation for insect-infecting phasmaviruses. Over a period of approximately 16 million years, we find rates of (0.6 − 1.6) × 10−7 substitutions per site per year in protein coding genes, extraordinarily low for negative-sense RNA viruses, but consistent with the few estimates produced over comparable evolutionary timescales.
Objective and perceived oral health status of elderly nursing home residents: a local survey in southern France

Objective The aim of this study was to compare the perceived oral health of elderly persons and the clinical reality of their oral status. Background Persons aged over 60 have considerable need for oral health care; a need that increases over time. However, this population appears to be unaware of their state of oral health, and this may be a further obstacle to professional management. We thought it useful to examine the objective and the perceived oral health of these patients. Understanding what may influence their perception can help us to improve their management. Methods The data analyzed in this work are the findings of a field survey carried out in elderly nursing home residents. Their objective oral health was evaluated by using two variables: oral profile, determined by clinical examination, and the oral health index determined using the Oral Health Assessment Tool (OHAT). Perceived oral health was evaluated using the various categories and fields of the General Oral Health Assessment Index (GOHAI). Results Our clinical study showed a discrepancy between perceived oral health and the clinical reality: although a significant association can be demonstrated between the OHAT and the GOHAI, there are considerable variations. It also appeared that the number of teeth and total edentation considerably influence perceived oral health and that findings vary according to different situations. Conclusion Numerous factors influence elderly persons’ perception of their true oral health. In order to improve our elders’ quality of life, the necessary measures must be taken for the follow-up and regular monitoring of their oral health. At the same time, all possible means should be used and awareness should be raised to improve the health behavior and perception of patients and their entourage.
Architectural exploration of digital systems design for FPGAs using C/C++/SystemC specification languages

The increasing demand for high computational performance and massive data processing has driven the development of systems-on-chip. One implementation target for complex digital systems are FPGA (Field-programmable Gate Array) devices, heavily used for prototyping systems or complex and fast time-to-market electronic products development. Certain inefficient aspects of FPGA devices relate to performance and power degradation with respect to custom hardware design. In this context, this master thesis proposes a survey on FPGA optimization techniques. This work presents a literature review on methods of power and area reduction applied to FPGA designs. Techniques for performance increasing and design speedup enhancing will be presented based on classic and state-of-the-art academic works. The main focus of this work is to discuss high-level design techniques and to present the results obtained in synthesis examples we developed, comparing with hand-coded HDL (Hardware Description Language) designs. In this work we present our methodology for fast digital design development using High-Level Synthesis (HLS) environments. Our methods include efficient high-level code partitioning for proper synthesis directives exploration in HLS tools. However, a non-guided HLS flow showed poor synthesis results when compared to hand-coded HDL designs. To fill this gap, we developed an iterative design space exploration method aiming at improving the area results. Our method is described in a high-level script language and it is compatible with the Xilinx VivadoTM HLS compiler. Our method is capable of detecting optimization checkpoints, automatic synthesis directives insertion, and check the results aiming at reducing area consumption. Our Design Space Exploration (DSE) experimental results proved to be more efficient than non-guided HLS design flow by at least 50% for a VLIW (Very Long Instruction Word) processor and 62% for a 12th-order FIR (Finite Impulse Response) filter implementation. Our area results in terms of flip-flops were up to 4X lower compared to a non-guided HLS flow, while the performance overhead was around 38%, for the VLIW processor compilation. In the FIR filter example, the flip-flops reduction were up to 3X, with no relevant LUTs and performance overhead.
STUDENTS' PREFERENCES AND OPINIONS ON DESIGN OF A MOBILE MARKETING EDUCATION APPLICATION

The purpose of this study was to define and better understand business school students’ opinions and preferences on the design of a mobile marketing education application. To accomplish this purpose an explanatory mixed methods study design was used and the data was collected sequentially. First, a questionnaire was conducted with 168 business school students from Anadolu University to define their learning styles. The learning orientation questionnaire produced five factors: visual, auditory, dependent, collaborative, and reading & writing learning styles. In the second phase of the study, semi-structured in depth interviews were conducted with nine graduate students at Anadolu University to better understand their preferences and explore their opinions on the mobile application. After the coding process three themes emerged: learning styles, content, and tools. Added to these themes, eight motives for the use of a mobile marketing education application were also identified.
Uterine hypertonus and fetal bradycardia occurred after combined spinal-epidural analgesia during induction of labor with oxytocin infusion

Abstract Rationale: Pain management is an essential part of good obstetrical care. The rapid onset of pain relief after combined spinal-epidural (CSE) analgesia may cause a transient imbalance in maternal catecholamine level, leading to uterine hyperactivity and fetal heart rate (FHR) abnormalities. How to manage the uterine basal tone and FHR abnormalities after labor analgesia still remains controversial. Patient concerns: A 33-year-old nulliparous woman at 40+5 weeks’ gestation underwent induction of labor after premature rupture of membranes. CSE analgesia was provided when the patient described her pain as the top on a scale of 10 during induction of labor with oxytocin infusion. Diagnoses: Uterine hypertonus and fetal bradycardia were diagnosed within 10 minutes after CSE analgesia. Interventions: Oxytocin infusion and CSE analgesia were immediately suspended, and measures of staying in left lateral decubitus position and giving supplemental oxygen were attempted to resuscitating the baby. Because of suspicious fetal distress, the baby was rapidly delivered by emergency cesarean section. Outcomes: The Apgar score of the baby was 8 and 10 at 1 and 5 minutes after birth. Subsequent follow-up confirmed that both mother and baby were in good condition. Lessons: The loss of the tocolytic effect of epinephrine after CSE analgesia and continuous oxytocin infusion may work together to form a totally synergistic function, finally leading to inevitable uterine hypertonus and fetal bradycardia. Both the obstetrical provider and anesthesiologist should carefully monitor all patients in the first 15 minutes after CES analgesia induction. Oxytocin administration in this critical period deserves attention. Additionally, intraprofessional collaboration is also necessary to ensure high quality and safe delivery for all childbearing women.
Evaluation of Bile Salt Hydrolases, Cholesterol-Lowering Capabilities, and Probiotic Potential of Enterococcus faecium Isolated From Rhizosphere

Bile salt hydrolase (BSH) activity, hypo-cholesterolemic effect, and probiotic properties have been reported for Enterococcus strains isolated from animal and human gut and fermented foods but not for strains isolated from environmental niches, like aquatic and terrestrial plants, soil, and water. The present study is the first report on isolation of Enterococcus faecium from rhizospheric soils that harbor the bsh gene, remove cholesterol in vitro, and possess essential and desirable probiotic attributes. Fifteen samples were collected from different sites located in northern, southern, and central regions of India, of which five yielded pure colonies that were named LR2, LR3, ER5, LR13, and VB1. These were identified by 16S rRNA gene sequencing as E. faecium and evaluated for BSH activity, cholesterol-lowering potential in vitro, and probiotic properties. Our results indicated that all the strains were capable of surviving the harsh conditions of the gastrointestinal tract and did not harbor any of the virulence genes. Though all strains showed the presence of bsh and potential for cholesterol removal, E. faecium strain LR13 showed a remarkable cholesterol removal capability and vancomycin susceptibility and possessed most of the desirable and essential attributes of a probiotic. Hence, it seems to be a fairly promising probiotic candidate that needs to be further evaluated in in vivo studies, especially for its hypo-cholesterolemic potential.
SUPER CONTINUUM GENERATION AT 1310 NM IN A HIGHLY NONLINEAR PHOTONIC CRYSTAL FIBER WITH MINIMUM ANOMALOUS GROUP VELOCITY DISPERSION

ABSTRACT: In present study ,we intend to investigate the evolution of supercontinuum generation (SCG) through triangular photonic crystal fiber (PCF) at 1310nm by using both full-vector multipole method (M.P.M) and novel concrete algorithms: symmetric split-step fourier (SSF) and fourth order runge kutta (RK4) which is an accurate method to solve the general nonlinear schrodinger equation (GNLSE). We propose an ideal solid-core PCF structure featuring a minimum anomalous group velocity dispersion (GVD), small higher order dispersions (HODs) and enhanced nonlinearity for appropriate supercontinuum generation with low input pulse energies over discrete distances of the PCF. We also investigate the impact of linear and nonlinear effects on supercontinuum spectra in detail and compare the results with different status . 在 1310 的 高非線性光子 晶體光纖 的最小 反常 群速度色散 產生超 摘要 摘要： 在 本研究中 ， 我們打算 同時使用 全矢量 多極 法（ MPM） 和新穎的 具體 算法 ，調查 產生超 （SCG） 通過 在 1310 三角形 光子晶體光纖 （PCF） 的演變 ： 對稱 分步傅里葉 （SSF） 和第四 階龍格 庫塔 （ RK4 ），這是 解決一般 非線性薛定諤方程 （ GNLSE ） 一種精確的方法 。 我們提出 一個理想的 實芯 PCF 結構 設有 最低 反常 群速度色散 （ GVD ），小 高階 分散體（ 部門首長 ） 和增強的 非線性 適當的 超連續 超過 了 PCF 的 離散 距離， 低輸入 的脈衝能量 。 我們 還 研究 的 線性和非線性效應 的 超連續 光譜 詳細 的影響 ，並與 不同的狀態 的 比較結果。
Pathological Between-Network Positive Connectivity in Early Type 2 Diabetes Patients Without Cerebral Small Vessel Diseases

Background and Purpose Previous neuroimaging studies have demonstrated type 2 diabetes (T2D)-related brain structural and functional changes are partly associated with cognitive decline. However, less is known about the underlying mechanisms. Chronic hyperglycemia and microvascular complications are the two of most important risk factors related to cognitive decline in diabetes. Cerebral small vessel diseases (CSVDs), such as those defined by lacunar infarcts, white matter hyperintensities (WMHs) and microhemorrhages, are also associated with an increased risk of cognitive decline and dementia. In this study, we examined brain magnetic resonance imaging (MRI) changes in patients in the early stages of T2D without CSVDs to focus on glucose metabolism factors and to avoid the interference of vascular risk factors on T2D-related brain damage. Methods T2D patients with disease durations of less than 5 years and without any signs of CSVDs (n = 34) were compared with healthy control subjects (n = 24). Whole-brain region-based functional connectivity was analyzed with network-based statistics (NBS), and brain surface morphology was examined. In addition, the Montreal Cognitive Assessment (MoCA) was conducted for all subjects. Results At the whole-brain region-based functional connectivity level, thirty-three functional connectivities were changed in T2D patients relative to those in controls, mostly manifested as pathological between-network positive connectivity and located mainly between the sensory-motor network and auditory network. Some of the connectivities were positively correlated with blood glucose level, insulin resistance, and MoCA scores in the T2D group. The network-level analysis showed between-network hyperconnectivity in T2D patients, but no significant changes in within-network connectivity. In addition, there were no significant differences in MoCA scores or brain morphology measures, including cortical thickness, surface area, mean curvature, and gray/white matter volume, between the two groups. Conclusion The findings indicate that pathological between-network positive connectivity occurs in the early stages of T2D without CSVDs. The abnormal connectivity may indicate that the original balance of mutual antagonistic/cooperative relationships between the networks is broken, which may be a neuroimaging basis for predicting cognitive decline in early T2D patients.
A model with applications for data survivability in Critical Infrastructures

Information assurance in Critical Infrastructures (CIs) is a problem of great practical interest and a challeng- ing research field. Within this scope we focus on the problem of monitoring of CIs. In particular, we propose a model to max- imize the amount of monitoring-related data that can survive after a portion of the CI suffers a disaster. The proposed model addresses a specific CI—oil pipelines—, and it is built on the hypothesis that the monitoring data are provided by means of wireless sensor networks. In particular, we consider a CI where the sensors are deployed along the pipelines and execute a com- mon monitoring task with a given sampling rate. In order to ensure data availability the sensors replicate the sensed data to their peers. This model poses a few unique challenges, calling for the optimization of competing system parameters. For in- stance, a higher sampling rate would allow, on one hand, a finer- grain analysis of the situation while on the other hand would consume more energy. High volume of data replication would allow a higher chance for data to survive a disaster—hence help- ing in forensics or further disaster prevention—, while it would cost more in both energetic and bandwidth terms. We derive an analytical model for this scenario. This model can be processed to derive the optimal sampling rate that maximizes the amount of information collected by the monitoring infras- tructure, while satisfying the complex and competing system parameters. Further, simulations are performed on both reg- ular (tree-based) and random generated oil pipelines and show the wide applicability of our model, as well as providing a few non-intuitive results on the behaviour of the competing system parameters. Finally, we develop a case study on a real-world oil pipeline. Results support the quality of the proposed model and its flexibility.
Are Effect Sizes in Emotional Intelligence Field Declining? A Meta-Meta Analysis

Since Salovey and Mayer (1990) first proposed the emotional intelligence (EI) as an independent intellectual component, research on the field of EI has developed rapidly. A large number of studies have shown that emotional intelligence is an important predictor that affects our lives, such as job performance, mental health, and so on. However, we observed that some effect sizes in the field of emotional intelligence decreased over time. Is this kind of decline simply due to random errors, or is emotional intelligence field undergoing decline effects? The present study analyzed 484 effect sizes based on the responses of 102,579 participants from nine meta-analyses in emotional intelligence field to estimate the average effect size, and evidence for decline effects in this field. This study finds that the average effect size of EI is 0.244 (p < 0.001), and the average effect size of mixed EI (r = 0.272, p < 0.001) is significantly higher than that of ability EI (r = 0.160, p < 0.001). Effect sizes in the field of EI decrease with time, there are decline effects in emotional intelligence field. Furthermore, there are also decline effects in mixed EI field. However, we find no evidence that there are decline effects in ability EI field. Base on the significant average effect size of mixed EI, the most likely explanation for the decline in effect sizes is that effect sizes of mixed EI in the original studies were overestimate. This study considers decline effects in mixed EI research as inflated decline effects. To sum up, decline effects in the field of emotional intelligence are mainly due to the choice of emotional intelligence model and measurement method.
Analysis of Hierarchical Routine Data With Covariate Missingness: Effects of Audit & Feedback on Clinicians' Prescribed Pediatric Pneumonia Care in Kenyan Hospitals

Background: Routine clinical data are widely used in many countries to monitor quality of care. A limitation of routine data is missing information which occurs due to lack of documentation of care processes by health care providers, poor record keeping, or limited health care technology at facility level. Our objective was to address missing covariates while properly accounting for hierarchical structure in routine pediatric pneumonia care. Methods: We analyzed routine data collected during a cluster randomized trial to investigating the effect of audit and feedback (A&F) over time on inpatient pneumonia care among children admitted in 12 Kenyan hospitals between March and November 2016. Six hospitals in the intervention arm received enhance A&F on classification and treatment of pneumonia cases in addition to a standard A&F report on general inpatient pediatric care. The remaining six in control arm received standard A&F alone. We derived and analyzed a composite outcome known as Pediatric Admission Quality of Care (PAQC) score. In our analysis, we adjusted for patients, clinician and hospital level factors. Missing data occurred in patient and clinician level variables. We did multiple imputation of missing covariates within the joint model imputation framework. We fitted proportion odds random effects model and generalized estimating equation (GEE) models to the data before and after multilevel multiple imputation. Results: Overall, 2,299 children aged 2 to 59 months were admitted with childhood pneumonia in 12 hospitals during the trial period. 2,127 (92%) of the children (level 1) were admitted by 378 clinicians across the 12 hospitals. Enhanced A&F led to improved inpatient pediatric pneumonia care over time compared to standard A&F. Female clinicians and hospitals with low admission workload were associated with higher uptake of the new pneumonia guidelines during the trial period. In both random effects and marginal model, parameter estimates were biased and inefficient under complete case analysis. Conclusions: Enhanced A&F improved the uptake of WHO recommended pediatric pneumonia guidelines over time compared to standard audit and feedback. When imputing missing data, it is important to account for the hierarchical structure to ensure compatibility with analysis models of interest to alleviate bias.
Power control in wireless ad hoc networks for energy efficient routing with end-to-end packet delay minimization

Wireless ad hoc networks are the networks with no infrastructure and that have limited battery. It is necessary that the nodes in the network use their energies efficiently. In this study, on-demand and position based algorithms that minimize end-to-end packet delays and that use their node energies most effectively are proposed. The proposed algorithm helps to transport packets to their destinations by keeping the data transfer power of nodes in the lowest level. The algorithm is exposed to a performance evaluation test via a simulation program that is developed in MATLAB.