Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Factors Analysis of Pathologically Confirmed Cervical Lymph Nodes Metastasis in Oral Squamous Cell Carcinoma Patients with Clinically Negative Cervical Lymph Node: Results from a Cancer Center of Central China

Objective: To explore the risk factors of cervical lymph node metastasis in oral squamous cell carcinoma (OSCC) patients with clinical negative cervical lymph nodes(cN0) and provide a reference for clinical treatment. Methods: The clinical data of 161 OSCC patients with cN0 were retrospectively analyzed. All patients underwent extended primary resection combined with cervical lymph node dissection. The level and number of cervical lymph node metastasis were confirmed by postoperative pathology. The risk factors of cervical lymph node metastasis in patients were analyzed by univariate and multivariate Logistic regression analysis. Results: Thirty-one out of 161 cases (19%) were confirmed cervical lymph node metastasis. Among them, there were 28 cases of lymph node metastasis in one cervical level and 3 cases in two cervical levels. A total of 42 positive lymph nodes were detected in 34 cervical levels. The level number of positive areas in the IA, IB, IIA, IIB, III, IV and V levels was 2, 15, 12, 1, 4,0, and 0, respectively. The corresponding regional metastasis rates were 5.9%, 44.1%, 35.3%, 2.9%, 11.8%, 0% and 0%, respectively. The number of positive lymph node metastases in the corresponding levels were 2, 17, 17, 1, 5, 0, and 0 respectively. Univariate analysis showed that gender, age, lesion location, T stage, and perineural invasion/lymphvascular invasion (PNI/PVI) had no significant effect on cervical lymph node metastasis (P>0.05). The growth pattern, degree of differentiation, depth of invasion, neutrophil/lymphocyte ratio (NLR) and the short/long axis diameter ratio (S/L ratio) of lymph nodes were important factors influencing the cervical lymph node metastasis in cN0 OSCC patients (P<0.05). Multivariate Logistic regression analysis indicated that the growth pattern, degree of differentiation, depth of invasion, NLR, and the S/L ratio of lymph nodes were independent risk factors for cervical lymph node metastasis (P<0.05). Conclusion: The growth pattern, degree of differentiation, depth of invasion, neutrophil/lymphocyte ratio, and the short/long axis diameter ratio of lymph nodes were the independent risk factors for pathological cervical lymph node metastasis in oral squamous cell carcinoma patients with cN0. If patients with the above risk factors receive nonstandard radical neck dissection or no dissection, it may be necessary for them to receive the corresponding regional postoperative radiotherapy.
Study of Energy Harvesting Using Two-Dimensional Small Vibrations

Energy harvesting from our living environment and wireless electric power charging have become a remarkable trend in recent years. Main stream for the former is electric power generation from vibrations and temperature differences. However today’s power levels are very low, that is those from 100�W to several mW, which cannot be used in wide areas. One promising application of these technologies will be a power supply source for the future sensor network. As for the latter several new theories and experimental results have been reported. Unplugged battery charge for electric handy gadgets such as cellular phones is the most realistic requirement for these technologies. In this paper, we have studied an energy harvesting device which might provide such high voltage that it can be used as power supply for electric handy gadgets. In our configuration, we exploit both horizontal and vertical vibrations using one pair of connected small Neodym magnets. The connected magnets can be vibrated not only by mechanical drive at low frequency but also by electrical drive at rather high frequency. Therefore this device can also be used as a wireless electric power charging device. Fundamental structure and mechanism of two dimensional vibrations will be explained. Possibility to be used as a wireless charger will also be illustrated. Simulation results of magnetic field between a Neodym magnet and a coil using COMSOL simulator is presented.
Competitive paging and dual-guided on-line weighted caching and watching algorithms

This thesis presents research done by the author on competitive analysis of on-line problems. An on-line problem is a problem that is given and solved one piece at a time. An on-line strategy for solving such a problem must give the solution to each piece knowing only the current piece and preceding pieces, in ignorance of the pieces to be given in the future. We consider on-line strategies that are competitive (guaranteeing solutions whose costs are within a constant factor of optimal) for several combinatorial optimization problems: paging, weighted caching, the k-server problem, and weighted matching. We introduce variations on the standard model of competitive analysis for paging: allowing randomization, allowing resource-bounded lookahead, and loose competitiveness, in which performance over a range of fast memory sizes is considered and noncompetitiveness is allowed provided the fault rate is insignificant. Each variation leads to substantially better competitive ratios. We present a general technique for competitive analysis of linear optimization problems: competitive analyses are obtained by using linear programming duality to obtain bounds on the optimal cost. The technique is implicit in previous work on paging, weighted caching, and weighted matching. We generalize the implicit previous use of the technique, obtaining the greedy dual algorithm for weighted caching. The strategy generalizes the least-recently-used and first-in-first-out algorithms for paging and the balance algorithm for weighted caching. The analysis strengthens a previous analysis of the balance algorithm for weighted caching. We explore the linear programming dual of the k-server problem, showing that the k-server problem is a special case of on-line minimum-weight matching, revealing close relationships between on-line weighted caching and assignment algorithms, and showing how duality can yield potential function analyses.
CDMA-based carrier sense multiple access protocol for wireless LAN

A wide variety of mobile computing devices have emerged, including portables, palmtops and personal digital assistants. Providing adequate network connectivity for these devices will require a new generation wireless technology. This paper describes medium access protocols and proposes a CDMA-based CSMA protocol to solve the collision problems well with the help of multi-channel scheme. New methods of code synchronization and assignment are presented. Our analysis results show that the proposed protocol offers high throughput.
Model following servo control for fuzzy linguistical systems

In real applications, exact dynamic model of plants can be rarely obtained and the desired characteristics of the control systems are specified in the wide ranges. In order to get a satisfactory settlement of the problems, a new control system for fuzzy linguistical systems is presented in this paper which comprises two schemes: one is fuzzy model following servo control system which makes better use of human intuition and experiences for desired responses of the plant using the linguistic expression, and the another is a fuzzy observer which estimates the internal information of the plant from the external data. The effectiveness of the proposed method is shown for a nonlinear DC servomotor system.
Identification of Promising Couples using Machine Learning

Divorces, or more generally, failed relationships, are tremendous social issues that not only affect the two people involved, but also friends and family. In this project, we try to address this social issue by finding out what features are indicative of an unpromising relationship and use these features to predict the outcome of a romantic relationship over a 4 year time frame. The existing social science research is mostly based on simple statistical models. Our project aims to address this issue by applying machine learning algorithms. Specifically, using a variety of feature selection and classification methods, we have been able to achieve predictions with accuracy in the low eighty percent range and discovered several new important factors that affect a relationships outcome, such as meeting on the internet having a negative impact.
Studying the effects of rising atmospheric CO 2 concentration on the water use efficiency of Eucalyptus saligna

Introduction Atmospheric CO2 concentration (Ca) has risen from 280 mol mol 71 to the current concentration of ca. 390 =mol mol 71 over the last 150 years, and continues to rise at a rate of 1.5 – 2.0 =mol mol 71 per annum (Canadell et! al. 2007). Exposure to elevated Ca generally; stimulates tree growth (Curtis and Wang 1998; Norby et! al. 1999), increases (20 7 80%) leaf level light7saturated photosynthesis (Asat; reviewed in Ellsworth et! al. 2004; Ainsworth and Rogers 2007), decreases leaf7level stomatal conductance (gs; Berryman et! al. 1994; Medlyn et! al. 2001; Ainsworth and Rogers 2007), and subsequently increases leaf7level water use efficiency (WUE; Field et! al. 1995; Wullschleger et! al. 2002; Morgan et! al. 2004). Although we have excellent techniques for directly measuring gas exchange in single leaves of plants exposed to elevated Ca , few experimental systems resolve gas exchange in elevated Ca at larger scales (Wallin et! al. 2001; Dore et! al. 2003). Ecophysiological schemes for scaling leaf7level behaviour to larger scales can only approximate CO2 and water fluxes at the whole7tree level. In order to validate such models, we require a system to measure whole7tree fluxes of CO2 and water and their response to the environment.
Why is growth less poverty reducing in Africa ? †

This paper analyses the economic impacts of growth on poverty in Sub-Saharan Africa, exploiting a rich and unique dataset covering 56 countries between 1990 and 2012. Albeit the high economic growth rates of the last decades, there have been increasing concerns that growth is not benefiting African population at large. In line with the view that certain sectors are more poverty reducing than others, we find that during the period 1990-2012 productivity gains in agriculture played a smaller role in Africa than elsewhere. At the same time, employment shifts out of agriculture have contributed only half as much to poverty reduction than in the rest of the world, and especially there has been no impact of movements into manufacturing employment, which instead have been at the basis of the poverty reducing strategies of South and East Asia in the past decades. Forecasted projections for the years to come suggest that African governments would need to double their efforts towards structural transformations in order to achieve sustained poverty reduction. JEL classification: I32, O10, O55
P o S ( G M C 8 ) 0 3 7 Detecting Exoplanets with the Xallarap Microlensing Effect

One of the successful techniques for the detection of exopla nets relies on the magnification of an observed star resulting from microlensing by a foreground s tar orbited by a planetary companion. We propose an alternative method for the detection of exopla nets by microlensing, in which the orbital motion of a planet around the source star induces a sm all motion of the star around the common barycentre, which leads to detectable deviations fr m the ordinary symmetric microlensing light curve. We show that favourable events for such devi ations to occur involve lenses close to the source star and Einstein-radius crossing times subst antially larger than the planet’s orbital period. From a Monte-Carlo simulation, we find that a monitor ing programme of Galactic bulge stars, capable of providing a 2-hour sampling and 2 % photome tric accuracy, can detect planets of Jupiter mass with a detection efficiency of around 1 %.
Efficient solution to remove impulse noise with high density in color images based on locative-adaptive processing and butterworth frequency filter

Deleting unwanted disturbances such as types of noise and improving the quality of the image, considered as the essential challenge in the research. In this study, by using the locative-adaptive processing and Butterworth frequency filter, an innovative method for detection and removing of impulse noise was presented while maintaining important information such as edges and texture image which includes new algorithms for the detection of impulse noise, high-density and high-density proposed a new filter is to delete impulse noise. The results obtained from tests on noisy images have been evaluated with accurate quantitative and qualitative criteria, such as PSNR. Visual results of the proposed methods, represents the texture and edge detection and noisy image quality improvement compared with existing algorithms.
STATCOM for Improved Dynamic Performance of Wind Farms in Power Grid

Application of FACTS controller called Static Synchronous Compensator STATCOM to improve the performance of power grid with Wind Farms is investigated . The essential feature of the STATCOM is that it has the ability to absorb or inject fastly the reactive power with power grid . Therefore the voltage regulation of the power grid with STATCOM FACTS device is achieved. Moreover restoring the stability of the power system having wind farm after occurring severe disturbance such as faults or wind farm mechanical power variation is obtained with STATCOM controller . The dynamic model of the power system having wind farm controlled by proposed STATCOM is developed . To Validate the powerful of the STATCOM FACTS controller , the studied power system is simulated and subjected to different severe disturbances . The results prove the effectiveness of the proposed STATCOM controller in terms of fast damping the power system oscillations and restoring the power system stability .
Final Author Version Polypeptide and Protein Modeling for Drug Design Encyclopedia of Computational Neuroscience Synonyms

The aims of protein and peptide modeling for drug design include: (i) modeling the threedimensional structure of proteins of current or potential drug targets; (ii) identifying and characterizing the structural dynamics associated with the function of a particular protein or peptide; and (iii) predicting the structure and molecular interactions of protein-ligand complexes. This knowledge underpins structure-based and rational drug design. It can aid in the design and optimization of drug molecules by shedding light on their mode of action, specificity and selectivity.
Effect of an intensive physical conditioning program on body composition and isometric strength in children with Down syndrome

Purpose: Was to determine the effect of a physical fitness program on body composition and isometric strength in children with Down syndrome. Methods: Twenty-two children with DS, 13 in the experimental group (EG) and 9 in the control group (CG). Isometric handgrip strength, body height, weight, triceps and the medial calf skinfolds were measured. The body mass index (BMI) was computed from body height and weight. The physical fitness program was performed for 16-weeks, 5 times per week, on 55-min sessions. Results: Significant preto post-intervention reductions in BMI were observed in both EG (22.2 ± 2.5 vs. 20.7 ± 2.5 kg/m; P ≤ 0.0001), and CG (23.3 ± 4.9 vs. 21.9 ± 4.6 kg/m2; P ≤ 0.001). Significant preto post-intervention reductions were observed in medial calf skinfold and isometric strength in the EG (14.9 ± 5.5 vs. 14.6 ± 3.2 mm; P = 0.008) and (2.4 ± 4.0 vs. 9.2 ± 2.0 kg; P ≤ 0.0001), respectably. Conclusion: A physical fitness program improved isometric strength and body composition in Down syndrome participants. Children with Down syndrome can improve their quality of life by performing structured physical fitness training.
Effects of restricted feeding with fermented whole-crop barley and wheat on the growth performance, nutrient digestibility, blood characteristic, and fecal microbiota in finishing pigs

A total of 80 pigs [(Landrace × Yorkshire) × Duroc] with an average body weight of 72.9 ± 2.6 kg were used in the present study to investigate the effects of fermented whole crop wheat and barley with or without supplementing inoculums throughout the restricted feeding in finishing pigs. There were 4 replicate pens per treatment. Pigs were fed ad libitum throughout the experiment as the control (CON), and the other four groups were restricted to 10% in the CON diet and fed ad libitum fermented whole crop cereals: fermented whole crop barley with inoculums; fermented whole crop barley without inoculums; fermented whole crop wheat with inoculums; and fermented whole crop wheat without inoculums. During the entire experiment, the average daily feed intake (ADFI) decreased in the fermented barley and fermented wheat groups compared to the CON, while no difference was observed in the average daily gain (ADG), feed efficiency (gain : feed ratio, G : F) between the control and fermented whole crop barley, wheat diet group. Dry matter and nitrogen digestibility did not show a significant difference among the treatments. In the blood constituents, concentrations of blood urea nitrogen were significantly lower in pigs fed fermented whole crop barley without inoculum diets compared with the other treatments. In conclusion, restricted feeding with fermented whole crop barley and wheat regardless of the supplementing inoculums showed no significant difference in growth performance compared to the CON. This suggests that there is a possibility that fermented whole crop barley and wheat could replace part of the conventional diets. OPEN ACCESS Accepted: September 5, 2018 Revised: August 10, 2018 Received: June 20, 2018 DOI: Citation: CH Lee, HB Kim, JH Ahn, HJ Jung, W Yun, JH Lee, WG Kwak, HJ Oh, SD Liu, JS An, TH Song, TI Park, DW Kim, DJ Yu, MH Song, JiH Cho. 2018. Effects of restricted feeding with fermented whole-crop barley and wheat on the growth performance, nutrient digestibility, blood characteristic, and fecal microbiota in finishing pigs. Korean Journal of Agricultural Science. https:// doi.org/10.7744/kjoas.20180064 pISSN : 2466-2402 eISSN : 2466-2410 Effects of restricted feeding with fermented whole-crop barley and wheat on the growth performance, nutrient digestibility, blood characteristic, and fecal microbiota in finishing pigs Korean Journal of Agricultural Science 45(4) December 2018 666
1 8 O ct 2 00 6 Immunization of Susceptible-Infected Model on Scale-Free networks

In this paper, we investigate two major immunization strategies, random immunization and targeted immunization, of the susceptible-infected (SI) Model on the Barabási-Albert (BA) networks. For the heterogenous structure, the random strategy is quite ineffective if the vaccinated proportion is quite small, while the targeted one which prefers to vaccinate the individuals with the largest degree can sharply depress the epidemic spreading even only a small amount of population are vaccinated. The analytical solution is also obtained,which can capture the trend of velocity change versus the amount of vaccinated population.
Face Recognition Algorithms : Review , Benchmarking and Applications

INTRODUCTION Abstract – Face recognition has received substantial attention in recent years due to applications in research fields such as biometrics community and computer vision. A lot of face recognition algorithms have been developed during the past decades. These algorithms can be classified into appearance-based and model-based schemes. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) or Fisher Discriminant Analysis (FDA) are two typical linear appearance-algorithms, and Elastic Bunch Graph Matching (EBGM) is a twodimensional model-based approach. This paper reviews the three classical methods and a typical face image database for standard testing. After the review is presented, the algorithms are implemented on Matlab environment. Scenarios and performance benchmarking are compared for each of the algorithms. The effectiveness and bottlenecks of each computation are discussed and possible improvements in different applications are given.
Evaluation of Reliable Multicast Implementations with Proposed Adaptation for Delivery of Big Data in Wide Area Networks

This paper describes the state of contemporary open source reliable multicast solutions and reveals deficiencies regarding their use for massive data transport in Content Delivery Networks (CDN). A performance evaluation of the three most popular open-source implementations UDP-based File Transport Protocol, NACK-oriented Reliable Multicast and Pragmatic General Multicast in multi-gigabit IP-based networks was performed in the 10Gigabit-WAN laboratory of the Communications Group of Anhalt University of Applied Sciences. This evaluation was completed under the real-world scenario of heavy-weight content distribution in Wide Area Networks. The performance evaluation presented in this paper reveals bottlenecks and deficiencies in current approaches and the paper proposes ideas for improvements and further development of the reliable multicast data delivery family. The defined test scenario was limited to three recipients for the following two reasons: Big data distribution does not imply a large number of recipients, and the goal of this work was to determine upper performance bounds even in a quite simple scenario as a starting point for further investigations. This investigation identified three main challenges: congestion control, losses recovery management and send/receive buffer management. The investigations presented have been performed in the course of a research project in which reliable point-to-multipoint IP-based data transport solution will be proposed. The goal is to achieve data rates of up to 1 Gbit/s per stream with up to ten simultaneous streams from one content server, even in presence of high RTT delays and packet losses
A unified framework for keywords distillation and summarization

Keywords distillation and document summarization are important task for many text applications. Existing methods have been conducting these two tasks separately without considering the relationship between the two tasks. In order to capture and make better use of their relationships between these tasks, this paper proposed a unified framework for keyword extraction and summarization. The method is first implemented by constructing a graph which reflect relationship between different size of granularity nodes, and then using graph based algorithm to calculate score of keywords and sentences. Finally, highest score of words and sentences in the document will be chosen as keywords and salient sentence. Experimental results show that our approach outperforms baseline methods.
SIMULASI DAN ANALISA SCHEDULING SERVICE CLASS PADA JARINGAN WIMAX MENGGUNAKAN OPNET MODELER

Abstract Human need for information now pushing the demand for internet data access speed high rises rapidly. The service offers diverse include text, sound, video, and data. It has become even daily needs that can not be separated from human life. So the need for technology that can deliver voice, data, and video with better quality. This study discusses the application of scheduling service class on data communications applications in the Fixed WiMAX network. Fixed WiMAX network is simulated using OPNET Modeler. Network design performed using a single BS, SS 16 pieces, and the server as a source of traffic. Data is collected for ten minutes. The simulation results obtained show that the application of sound, UGS service class has the greatest value is 3 Mbps throughput and jitter smallest value that is close to 0 s. In video applications, rtPS service class has the greatest value of throughput is 44 Mbps and has the smallest delay value was 0.17 s. On the application file transfer, nrtPS service class has the greatest value is 6,745,187 bps throughput and has the smallest delay value is 0.014 s. In the web browsing application, nrtPS service class has the greatest value is 8.2 Mbps throughput and has the smallest delay value is 0.022 s.Keywords : fixed WiMAX, scheduling service, Opnet Modeler