Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on WLAN Networking Mode Based on Ad Hoc

To enhance the WLAN data transmission capacity and improve network coverage, with ad hoc relay nodes introduced in WLANS, proposed a network structure, which can construct multi-hop network and realize ad-hoc networking. This paper first introduced network model structure of WLAN multiple hops ad hoc, then put forward a fast networking scheme of ad hoc network based on IEEE802.15. 4 protocol standard, and then network design. The scheme, with low power consumption and fast networking, can effectively make up for the WLAN network coverage. Keywords-WLAN; networking structure; ad hoc network; the IEEE802.15. 4 protocol standard;
Serial Cases of Combining ESWL and ERCP Procedures in Management Chronic Pancreatitis and Difficult Bile Duct Stones

E x t ra c orpor e al sho c k w a v e lit ho t r i psy ( ES W L ) has an e s t ab li sh e d ro l e i n t he m anag e m e nt of pan c r e a ti cdu c t al c a l c u l iandas f ur t h e r t r e a t m e nt m oda lit y f o r l a rgeor d iffi c u l t c o m p li c a t e d c o mm on b il e du c t ( C B D ) s t on e s. C o m b i n e d w it h m i n i m a ll y i n v as i v e e ndos c op i c pro ce dure su c has e ndos c op i c r e t rograde c ho l ang i o - pan c r e a t o g raphy ( ER C P ) , i t h as r e p l a ce d op e n surg e ryas t he i n i t i al f o rm of t h e rap y . ES W L has a l so p ro ve d t o bean e ff ec ti v e t h e rapy i n t r e a ti ng i n t rah e pa ti cs t on e s t h a t are r e f ra c t ory t orou ti ne e ndos c op i c ex t ra c ti on. I n t h e se s e r i al c as e s w e pr e s e nt t hr e e c as e s w h i c hus i n g c o m b i n e dES W La n dER C P pro ce dur e s t o t r e at c hron i cpan c r e a titi spa i nand g i ant C BD s t one t hat pr e s e n ti nggoodresultson f o ll owup w it houtany c o m p l i c a ti on. Keyw ords: E S W L , ER C P , c hron i cpan c r e a ti t i s, C BDs t one
Analysis of EEG Using 10:20 Electrode System

This biomedical paper is about 10:20 Electrode System is used to achieve the electroencephalograph (EEG). In neurology, the main diagnostic application of EEG is in the case of epilepsy, as epileptic activity can create clear abnormalities on a standard EEG study. A secondary clinical use of EEG is in the diagnosis of coma, encephalopathy, and brain death. A third clinical use of EEG is for studies of sleep and sleep disorders where recordings are typically done for one full night. This is a technical review paper about the different devices/equipment using 10:20 electrode system method to achieve accurate analysis of EEG with ease.
A non-linear camera calibration with modified teaching-learning-based optimization algorithm

In this paper, we put forward a novel approach based on hierarchical teaching-and-learning-based optimization (HTLBO) algorithm for nonlinear camera calibration. This algorithm simulates the teaching-learning ability of teachers and learners of a classroom. Different from traditional calibration approach, the proposed technique can find the nearoptimal solution without the need of accurate initial parameters estimation (with only very loose parameter bounds). With the introduction of cascade of teaching, the convergence speed is rapid and the global search ability is improved. Results from our study demonstrate the excellent performance of the proposed technique in terms of convergence, accuracy, and robustness. The HTLBO can also be used to solve many other complex non-linear calibration optimization problems for its good portability.
Multivariate time series modeling of selected childhood diseases in Akwa Ibom State

This paper is focused on modeling the five most prevalent childhood diseases in Akwa Ibom State using a multivariate approach to time series. An aggregate of 78,839 reported cases of malaria, upper respiratory tract infection (URTI), Pneumonia, anaemia and tetanus were extracted from five randomly selected hospitals in the State from 1997 to 2011. The monthly Cumulative clinical cases of aforesaid childhood diseases constitute vector time series. Pre-whitening approach was employed to determine whether the components of vector series are interrelated so that each series can be predicted on the bases of lagged values of itself and others. This process revealed that except tetanus; malaria, URTI, Pneumonia and anaemia series are interrelated. Hence, the four interrelated time series were considered in the multivariate analysis. Order selection criteria were employed to determine the order of the vector autoregressive (VAR) model to be fitted to these series. It was discovered that VAR(1) model fitted well. Diagnostic checks were applied to ascertain the adequacy of the model and VAR(1) model was found appropriate. Forecasts were generated. The model revealed that upper respiratory tract infection, pneumonia and anaemia are linked to or caused by malaria.
Persistência de imazaquim e diclosulam em função da umidade do solo.

Os herbicidas podem sofrer distintos processos de redistribuicao e degradacao que determinarao sua eficacia e residual no solo. Objetivou-se com este trabalho avaliar a influencia da umidade do solo na persistencia dos herbicidas diclosulam e imazaquim, em um Latossolo Vermelho Distroferrico – textura argilosa. Os herbicidas imazaquim (0,15 kg ha-1) e diclosulam (0,035 kg ha-1) foram aplicados em pre-emergencia, durante o periodo de verao, que apresentou temperatura media de 24 oC. Os tratamentos foram constituidos por tres niveis de umidade (100, 80 e 60% da capacidade de campo - CC), e pelos periodos de avaliacao (0, 15, 30, 45, 60, 75 e 90 dias apos a aplicacao dos tratamentos (DAA). Como bioindicadores de imazaquim e diclosulam utilizou-se o milho e o girassol, respectivamente. O diclosulam apresentou efeito por periodo maior de tempo com a umidade de 100% CC. O imazaquim tambem apresentou maior efeito toxico na umidade de 100% CC, indicando maior disponibilidade destes herbicidas em solos com maior teor de umidade. No solo com 60% CC a porcentagem de intoxicacao das especies bioindicadoras foi menor para os dois herbicidas, provavelmente, esta condicao favorece a sorcao destes herbicidas. Independente da umidade do solo, a presenca dos herbicidas foi detectada ate 90 DAA.
Spatially Adaptive Histogram Equalization for Single Image-Based Ghost-free High Dynamic Range Imaging

In this paper, we present a spatially adaptive histogram equalization method for generating a ghost-free high dynamic range (HDR) image using a single input image. Existing multiple input-based HDR methods fuse multiple low dynamic range (LDR) images, acquired using different exposures. However, these methods work only under the assumption that neither global nor local motions exists in between the LDR images. To overcome such an unrealistic constraint, we generate two LDR images from a single input image. To generate LDR images with appropriate exposures, we divide the entire intensity range into multiple sub-ranges using histogram quantization and separately perform histogram equalization in each sub-range. Thus, we can acquire a set of differently exposed LDR images of the same scene, which are then fused to generate a ghost-free HDR image. The major contribution of this work is twofold: (i) a novel estimation method for providing optimal sub-ranges of intensity using histogram quantization, which (ii) requires no additional hardware for generating multiple LDR images. Because the proposed method uses a set of optimally self-generated LDR images, it is inherently free of ghost artifacts and can provide a ghost-free HDR function for low-cost, lightweight imaging devices, such as mobile phones and compact cameras.
Dependency Networks And Bayesian Networks For Web Mining

Following the approach described by Heckerman et al. ([5]), we present an application of Dependency Networks and Bayesian Networks to the analysis of a clickstream data set. Our target is to discover which paths are more often followed by the users. The relation between one web page and another one is represent by a direct graph. Whereas Bayesian Networks use direct acyclic graphs, Dependency Networks may contain cyclic structures. The analysis will be performed with the WinMine Toolkit software.
Spectrum Management for MmWave Enabled UAV Swarm Networks: Challenges and Opportunities

In wireless communications, as the spatio-temporal distribution of the traffic is dynamic, the performance degradation of cellular networks becomes inevitable. Especially in catastrophic scenarios or hot-spot areas, terrestrial base stations may be poorly functioning and/or congested; thus, deploying ASCs that were carried by a UAV swarm is reasonable and cost-effective. Moreover, services such as disaster evaluation and live broadcasting require high-definition video streams, which undoubtedly need broad-band wireless transmission. To achieve this goal, the mmWave approach is introduced in the UAV swarm. However, wireless backhaul links, the mobility of UAVs and system coexistence hamper performance. In this article, we propose a novel spectrum management (SM) architecture for UAV-assisted cellular networks. Considering the special feature of mmWave, we also study SM techniques for opportunistic utilization of low-altitude UAV swarm using multi-mode radio access technologies (RATs). Both motivations and challenges of the proposed SM architecture for the UAV swarm are analyzed. To evaluate the performances of the proposed mmWave based wireless backhaul in UAV-assisted cellular networks, different SM schemes have been discussed and verified with numerical results in five typical scenarios.
The System of Re-collecting Printer Data basing on CPLD

A method basing on CPLD for re-collecting printer data is proposed. The working principle and several kinds of printer controlling languages are introduced firstly.Basing on FPGA and SCM,the hardware for collecting the printer interface data is devel-opd,and the software with function of re-collecting data which can only be printed formerly is also designed for data processing in the following experiments.The developed system has been successfully applied to data re-collecting of spectrum analyzer in the auto-control experiments and has achieved significant result;with proved simple structure, reliable performance and low development cost, the system can also be used on other devices with similar LPT.
Study the therapeutic effect of berberine on PCOS patients with insulin resistance

Objective To study the therapeutic effects of berberine(BBR) on PCOS patients with insulin resistance as an insulin sensitizer.Methods Between Oct.2009 and Oct.2010 PCOS patients with insulin resistance asking for infertile treatment were randomly divided into 4 groups.In the First Affiliated Hospital of Harbin Madical University Group A were given BBR and CPA;Group B were given metformin(MET) and CPA;Group C were given BBR,MET and CPA;and group D were given CPA.The clinical feature,gonadal hormone,serum glucose,insulin and lipid profile were assessed prior to and after 3 months of therapy and compared between the groups.Results In four groups,the parameter of weight,BMI,WHR were all decreased after treatment,there was no difference between four groups about weight and BMI,but WHR was decreased greater in A and C groups(P0.01). After treatment the FIN,FPG,Homa IR and AUCINS were decreased significantly compared with baseline(P0.01);Moreover group C therapeutic effects on FIN,Homa IR and AUCINS were much better than A and B groups(P0.01). Only AUCINS was ameliorated in group D after therapy.The serum TC,TG,LDL-C level were decreased and HDL-C increased in A,B and C group after treatment;the parameters above were ameliorated better in group A and C compared with group B;TG and HDL-C were ameliorated better in group C than group A.Compared with baseline the T level of all the patients were decreased after treatment,there was no difference between four groups;LH level of group A and group C was decreased after treatment,furthermore which was decreased better in group C than group A.Conclusion BBR can be used as an effective anti-PCOS agent.The excellent effect on insulin resistance through ameliorating hyperinsulinism,regulating lipid metabolism,losing weight has no significant difference between MET.Furthermore there has synergism between BBR and MET.BBR is benefit for PCOS patients to administrate for longtime for its safety and inexpensive.
QUEST: A cognitive model of question answering

QUEST is a cognitive model of question answering that accounts for the answers adults give to questions such as “Why? ” “How? ” “When? ” “Where? ” “What are the consequences of X? ” “Is X true or false? ” QUEST specifies the information sources that are tapped for answers to a question. Each information source is a highly structured data base, with statement nodes organized by a network of directed relational arcs. The types of knowledge structures include causal networks, goal hierarchies, taxonomic hierarchies, and spatial networks. QUEST'S convergence mechanisms identify the subset of statement nodes within an information source that furnish good answers to a question. The convergence mechanisms include (1) arc‐search procedure for each question category, (2) identification of intersecting nodes from different information sources, (3) constraint propagation, and (4) pragmatic considerations such as the goals and common ground of speech participants. QUEST accounts for question‐answering data in several psych.
An Outreach Program for Children Having Police Contact

Note: This publication discusses the development and preliminary assessment of the Earlscourt Under 12 Outreach Project for Boys (ORP) multifaceted intervention for youth between the ages of 6 and 12 years who have had police contact. Six and twelve month followups after participation were conducted. The intervention includes self-control and problem-solving skill groups, individual befriending, parent training, school advocacy, and crisis intervention. 54 boys and 10 girls were included in this study. Parent ratings found significant improvements on children's behavior. For more information on the Earlscourt Under 12 Outreach Project for Boys (ORP), see VioPro record number 4069. Population Age/Grade Level: Child, Ages 6-12 Population Race/Ethnicity: All Population Gender: Male Population Location: Toronto, Ontario, Canada Content: Empirical Research, Follow-Up Research Ontario Canada Middle Childhood Late Childhood Intervention Program Child Male Child Female Child Offender Female Offender Male Offender Child Delinquency Delinquency Treatment Delinquency Intervention Offender Treatment Child Treatment Intervention Program Treatment Program Parenting Skills Adult Parent Mental Health Services Self-Control Social Skills Development Child Development Youth Development Crisis Intervention Problem Solving Skills Prosocial Skills Program Development Program Evaluation 09-00
Monitoring Temperature and Fan Speed Using Ganglia and Winbond Chips

Effective monitoring is essential to keep a large group of machines, like the ones at Stanford Linear Accelerator Center (SLAC), up and running. SLAC currently uses Ganglia Monitoring System to observe about 2000 machines, analyzing metrics like CPU usage and I/O rate. However, metrics essential to machine hardware health, such as temperature and fan speed, are not being monitored. Many machines have a Winbond w83782d chip which monitors three temperatures, two of which come from dual CPUs, and returns the information when the sensor command is invoked. Ganglia also provides a feature, gmetric, that allows the users to monitor their own metrics and incorporate them into the monitoring system. The programming language Perl is chosen to implement a script that invokes the sensors command, extracts the temperature and fan speed information, and calls gmetric with the appropriate arguments. Two machines were used to test the script; the two CPUs on each machine run at about 65 Celsius, which is well within the operating temperature range (The maximum safe temperature range is 77-82 Celsius for the Pentium III processors being used). Installing the script on all machines with a Winbond w83782d chip allows the SLAC Scientific Computing and Computing Services groupmore » (SCCS) to better evaluate current cooling methods. « less
The letters of the younger Pliny

A prominent lawyer and administrator, Pliny (c. AD 61-113) was also a prolific letter-writer, who numbered among his correspondents such eminent figures as Tacitus, Suetonius and the Emperor Trajan, as well as a wide circle of friends and family. His lively and very personal letters address an astonishing range of topics, from a deeply moving account of his uncle's death in the eruption that engulfed Pompeii, to observations on the early Christians - 'a desperate sort of cult carried to extravagant lengths' - from descriptions of everyday life in Rome, with its scandals and court cases, to Pliny's life in the country.
The Optimal Parameter for Radiation Dose in Pediatric Low Dose Abdominal CT: Cross-sectional Dimensions versus Body Weight

Purpose: To investigate the best parameter between cross-sectional dimensions and body weight in pediatric low dose abdominal CT. Materials and Methods: One hundred and thirty six children consecutively underwent weight-based abdominal CT. The subjects consisted of group 1 (79 children, weight range 10.0- 19.9 kg) and group 2 (57 children, weight range 20.0- 39.9 kg). Abdominal cross-sectional dimensions including circumference, area, anteroposterior diameters and transverse diameters were calculated. Image noise (standard deviation of CT density) was measured by placing a region of interest in the posterior segment of the right hepatic lobe on a CT image at the celiac axis. The measured image noise was correlated with the cross-sectional abdominal dimensions and body weight for subjects in each group. Results: In group 1 subjects, area, circumference, transverse diameter, anteroposterior diameter, and body weight showed a significant positive correlation with image noise in descending order (γ= 0.63, 0.62, 0.61, 0.51, and 0.49; p<0.0001). In group 2 subjects, transverse diameter, circumference, area, anteroposterior diameter, and body weight showed a significant positive correlation with image noise in descending order (γ= 0.83, 0.82, 0.78, 0.71, and 0.71; p<0.0001). Conclusion: Cross-sectional dimensions such as area, circumference, and transverse diameter showed a higher positive correlation with image noise than body weight for pediatric low dose abdominal CT.
Automated Intelligent Monitoring and the Controlling Software System for Solar Panels

The inspection of the solar panels on a periodic basis is important to improve longevity and ensure performance of the solar system. To get the most solar potential of the photovoltaic (PV) system is possible through an intelligent monitoring & controlling system. The monitoring & controlling system has rapidly increased its popularity because of its user-friendly graphical interface for data acquisition, monitoring, controlling and measurements. In order to monitor the performance of the system especially for renewable energy source application such as solar photovoltaic (PV), data-acquisition systems had been used to collect all the data regarding the installed system. In this paper the development of a smart automated monitoring & controlling system for the solar panel is described, the core idea is based on IoT (the Internet of Things). The measurements of data are made using sensors, block management data acquisition modules, and a software system. Then, all the real-time data collection of the electrical output parameters of the PV plant such as voltage, current and generated electricity is displayed and stored in the block management. The proposed system is smart enough to make suggestions if the panel is not working properly, to display errors, to remind about maintenance of the system through email or SMS, and to rotate panels according to a sun position using the Ephemeral table that stored in the system. The advantages of the system are the performance of the solar panel system which can be monitored and analyzed.
Evidence-based software engineering: systematic literature review process based on visual text mining

Context: Systematic literature review (SLR) is a methodology used to aggregate all relevant evidence of a specific research question. One of the activities associated with the SLR process is the selection of primary studies. The process used to select primary studies can be arduous, particularly when the researcher faces large volumes of primary studies. Another activity associated with an SLR is the presentation of results of the primary studies that meet the SLR purpose. The results are generally summarized in tables and an alternative to reduce the time consumed to understand the data is the use of graphic representations. Systematic mapping (SM) is a more open form of SLR used to build a classification and categorization scheme of a field of interest. The categorization and classification activities in SM are not trivial tasks, since they require manual effort and domain of knowledge by reviewers to achieve adequate results. Although clearly crucial, both SLR and SM processes are time-consuming and most activities are manually conducted. Objective: The aim of this research is to use Visual Text Mining (VTM) to support different activities of SLR and SM processes, e.g., support the selection of primary studies, the presentation of results of an SLR and the categorization and classification of an SM. Method: Extensions to the SLR and SM processes based on VTM were proposed. A series of case studies were conducted to demonstrate the usefulness of the VTM techniques in the selection, review, presentation of results and categorization context. Results: The findings have showed that the application of VTM is promising in terms of providing positive support to the study selection activity and that visual representations of SLR data have led to a reduction in the time taken for their analysis, with no loss of data comprehensibility. The application of VTM is relevant also in the context of SM. Conclusions: VTM techniques can be successfully employed to assist the SLR and SM processes.
Banian: A Cross-Platform Interactive Query System for Structured Big Data

The rapid growth of structured data has presented new technological challenges in the research fields of big data and relational database. In this paper, we present an efficient system for managing and analyzing PB level structured data called Banian. Banian overcomes the storage structure limitation of relational database and effectively integrates interactive query with large-scale storage management. It provides a uniform query interface for cross-platform datasets and thus shows favorable compatibility and scalability. Banian's system architecture mainly includes three layers: (1) a storage layer using HDFS for the distributed storage of massive data; (2) a scheduling and execution layer employing the splitting and scheduling technology of parallel database; and (3) an application layer providing a cross-platform query interface and supporting standard SQL. We evaluate Banian using PB level Internet data and the TPC-H benchmark. The results show that when compared with Hive, Banian improves the query performance to a maximum of 30 times and achieves better scalability and concurrency.