Miracle-dz/UniFAR-FTUs huggingface dataset:
An Expert System For Real-time TrainDispatching

Within the hierarchy of train traffic management, dispatching is the adapting link between long-term planning and real-time operation. In case of deviations from train schedules, conflicts have to be detected and solved. Using modern software technologies it is possible to introduce computer-aided dispatching systems for operators support, including automatic conflict solution. The use of an expert system allows flexible design, application of expert knowledge, optimal handling of special situations and explanation facilities.
The future of interactive systems and the emergence of direct manipulation

Abstract This paper suggests three motivations for the strong interest in human factors' aspects of user interfaces and reviews five design issues: command language versus menu selection, response time and display rates, wording of system messages, on-line tutorials, explanations and help messages and hardware devices. Five methods and tools for system development are considered: participatory design, specification methods, software implementation tools, pilot studies and acceptance tests and evolutionary refinement based on user feedback. The final portion of the paper presents direct manipulation, an approach which promises to become widely used in interactive systems. Direct manipulation involves representation of the object of interest, rapid incremental reversible actions and physical action instead of complex syntax.
Purkinje Cell Injury Caused by Acrylamide

We encountered an unusual case of fatal acrylamide intoxication. A 23-year-old woman obtained the acrylamide (ACR) solution from the laboratory and consumed it in her room. ACR was detected in heart blood, urine and gastric contents for toxicological examinations. High-dose ACR intoxication cause selective Purkinje cell injury in cerebellum. Most Purkinje cells express the fast and slow forms of the calcium buffer protein calbindin. Some serial sections of samples were immunohistochemically stained with calbindin (CB-955). Populations of intense calbindinimmunoreactive Purkinje cells showed no positive reactions. We describe the histopathological findings of high dose ACR-induced Purkinje cell damage in the cerebellum.
White matter mean diffusivity correlates with myelination in tuberous sclerosis complex

Diffusion tensor imaging (DTI) of the white matter is a biomarker for neurological disease burden in tuberous sclerosis complex (TSC). To clarify the basis of abnormal diffusion in TSC, we correlated ex vivo high‐resolution diffusion imaging with histopathology in four tissue types: cortex, tuber, perituber, and white matter.
Crane automation by decoupling control of a double pendulum using two translational actuators

Modeling a crane as a double pendulum enables control of the position as well as the tilt of the load. Using the trolley motion and an additional translational actuator at the load suspension unit as system inputs, a control structure is described, that achieves damping of sway and tilt oscillations and establishes a decoupling between position and tilt angle of the load. These control features are the foundation for using the crane as a large workspace covering robot with six degrees of freedom. State space methods are used to design the decoupling control. Experimental results on a 5 ton bridge crane with workspace dimensions of 30 m/spl times/9 m/spl times/7 m show the performance of the presented concept.
Advances in Empirical Risk Minimization for Image Analysis and Pattern Recognition

State of the art approaches in computer vision and medical image analysis are intricately tied to recent advances in machine learning. In order to overcome the inherent variability of visual data, statistical learning techniques are widely applied to extract semantic information from images, and are central to increases in accuracy of systems for image categorization, image retrieval, object detection, and scene analysis. Similarly, analogous learning techniques are beginning to drive advances in areas such as medical image processing, diagnosis, and functional brain image analysis.A core property of learning algorithms is expressed through the no free lunch theorem of machine learning: no given algorithm will have the best possible performance across all problem domains. It is therefore necessary to empirically determine the algorithms that give the best possible performance in specific applications. The problems considered in this manuscript have some commonalities, but also some differences. In computer vision, a common subdomain of problems comes from the desire to perform semantic image analysis, e.g. to specify the key objects in a scene and to possibly infer something about their spatial relationship or functional interactions. In functional brain imaging, we may be interested in identifying regions of the brain implicated in addiction or visual processing and memory. These problems have inherently different goals, but are nevertheless unified by the common goal of analysis of images where we expect spatial regularity. It is in this context that the research described in this manuscript applies, specializes, and extends the state-of-the-art in machine learning for visual data.
Serum lipid profiles and post-stroke depression in acute ischemic stroke patients

Purpose: Post-stroke depression (PSD) is a psychiatric complication after stroke that leads to poorer stroke outcomes. Recent observational studies have indicated that lipid profiles were associated with a higher risk of stroke and depression. This study aims to further explore the possible relationship between serum lipid profiles and the development of PSD. Methods: A total of 373 acute ischemic stroke patients were examined. Serum lipid profiles including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), total cholesterol (TC), apolipoprotein A1 (Apo A1) and apolipoprotein B (Apo B) were measured within 24 hrs of admission. Depression symptoms were assessed by the 17-item Hamilton Depression Scale (HAMD-17) at the one-month follow-up, and HAMD scores ≥7 indicated a diagnosis of PSD. Results: A total of 114 patients were diagnosed with PSD at the one-month follow-up, for a percentage of 30.6%. There were significant differences in HDL-C levels (P<0.001), LDL-C levels (P=0.002) and the LDL/HDL ratio (P<0.001) between the PSD and non-PSD groups, but no differences were observed in TGs, TC, Apo A1 or Apo B. Low serum HDL-C levels (r = −0.157, P<0.001) and elevated LDL-C levels (r =0.139, P=0.002) and the LDL/HDL ratio (r =0.227, P<0.001) were associated with HAMD scores. After adjusting for the NIHSS score, BI score, mRS score and alcohol consumption in the logistic analysis, low HDL-C levels and the highest quartile (≥3.07) of the LDL/HDL ratio were independently associated with the development of PSD (OR =0.250, 95% CI, 0.077–0.813, P=0.021 and OR =1.874, 95% CI, 1.050–3.347, P=0.034, respectively). Conclusion: Decreased levels of HDL-C and elevated levels of LDL/HDL ratio are associated with PSD. HDL-C and the LDL/HDL ratio are independent predictors of PSD.
3-D image recognition system by means of stereoscopy combined with ordinary image processing

A new image recognition system using stereoscopy and ordinary image processing method has been developed for an autonomous vehicle. The information which has been lost in the distance distribution image that was yielded by stereoscopy was revived from the original image by ordinal image processing method. And it was combined to the information of the distance distribution to increase the recognition ability. As the result, this recognition system can be used not only in a simple scene such as on highways but also in a complex scene such as on streets in a town though it is not perfect. In this report, three examples treated by this method are described.
Project Shikamana: community empowerment-based combination HIV prevention significantly impacts HIV incidence and care continuum outcomes among female sex workers in Iringa, Tanzania

Objective: Determine the impact of a community empowerment model of combination HIV prevention (Project Shikamana) among female sex workers (FSW) in Iringa, Tanzania. Methods: We conducted a two-community randomized trial. Intervention elements included: 1) community drop-in-center; 2) venue-based peer education, condom distribution and HIV testing; 3) peer service navigation; 4) provider sensitivity trainings; and 5) SMS reminders. We utilized time-location-sampling to enroll 496 FSW and conducted a survey and blood draws to screen for HIV and assess viral load at 0 and 18 months. We conducted an intent-to-treat analysis using logistic and Poisson regression and inverse probability weighting for primary outcomes. Results: The analysis included 171 HIV-positive and 216 HIV-negative FSW who completed both the baseline and 18-month study visits. Participants in the intervention were significantly less likely to become infected with HIV at 18-month follow-up (RR 0.38; p=0.047), with an HIV incidence of 5.0% in the intervention vs. 10.4% control. Decreases in inconsistent condom use over time were significantly greater in the intervention (72.0% to 43.6%) vs. control (68.8% to 54.0%; RR 0.81, p=0.042). At follow-up, we observed significant differences in behavioral HIV care continuum outcomes, and positive, but non-significant, increases in viral suppression (40.0% to 50.6%) in the intervention vs. control (35.9% to 47.4%). There was a strong association of between higher intervention exposure and HIV outcomes including viral suppression. Conclusions: Project Shikamana is the first trial of community empowerment-based combination prevention among FSW in Africa to show a significant reduction in HIV incidence warranting its broader implementation and evaluation. Trial registration: Clinicaltrials.gov # NCT02281578.
Bacteriological profile and antibiotic susceptibility test of blood culture isolates in pediatric patients at a tertiary care teaching hospital

Background: Aim of the study was to know the bacterial profile and antibiotic resistance pattern of blood culture isolates from pediatric patients in at a tertiary care teaching hospital. Methods: Between March 2014– July 2015, blood culture samples from 1346 children (0-18 years) were monitored for the growth in the BACTEC/automated instrument. Samples suspicious of growth as indicated by the instrument were sub cultured and incubated at 370C and identified by standard procedure. Antibiotic susceptibility testing was performed by Kirby-Bauer disk diffusion method. Results: Out of 1346 blood culture samples processed, 159 (11.8%) were positive. Among positive isolates Salmonella species were 66.6% and non-Salmonella species were 33.3%. Predominant non-Salmonella species isolated were NFGNB (10.1%), 5% each of CoNS and Enterococcus spp. Among Salmonella spp isolated majority (85%) were S. typhi and (15%) were S. paratyphi A. isolated. The predominant isolates from ICU were NFGNB (30%), CoNS (20%) and Pseudomonas species (13.3%). Both S. typhi and S. paratyphi A revealed 18% and 19% resistance to ciprofloxacin; 8% and 19% resistance to ampicillin respectively. No resistance for chloramphenicol and ceftriaxone were noted in S. paratyphi A. Resistance of 2.2% each to chloramphenicol and cefotaxime, 5.6% to co-trimoxazole was noted, however no resistance was noted to ceftriaxone in S. typhi. Conclusion: A constant monitoring of blood cultures in pediatric age group is critical to understand bacterial profile and their antibiotic susceptibility pattern in different age groups to provide better patient care. Keywords: Blood stream infections; Blood culture; Salmonella; Pediatrics
Community Identification in International Weblogs

In this thesis, we evaluate and categorize algorithms and methods to identify communities within graphs and networks purely based on structural properties. The goal is to describe the theory of the problems and solutions related to the identification of cohesive groups within graphs and networks. We apply the discussed algorithms to a random generated graph and a dataset of of weblogs in six different languages (German, English, French, Italian, Portuguese and Spanish) and we will analyze and interpret the results. Based on the results which are gained by pure structural analysis of the network we try to draw conclusions from analysis of the textual content of websites within a single group, to reason about the origin of the network structure. We also try to evaluate if this can be used as some kind of quality criterion for the found groups in addition to existing quality metrics.
Influence Allogeneic Mesenchymal Stem Cells on the Tumour Growth Parameters and Metastatic Potential in the Transplantable Carcinoma Lung Lewis

It was investigated the effect of allogeneic mesenchymal stem cell biological characteristics of the primary tumor, metastasis in male mice C57BL/6, which transplanted cell line Lewis lung carcinoma. It was studied the effect of allogeneic MSCs on tumor weight and volume metastasis in tumor-bearing animals, on level of apoptotic cells and tumor cells distribution in cell cycle phases. The primary culture was obtained from transplantable Lewis lung carcinoma. Apoptotic level was measured by flow cytometry, tumor and metastasis volume were assessed by routine methods of experimental oncology, and level of tumor infiltration by lymphocytes was estimated after their fractionation in ficoll-triombrast gradient. We have shown that intravenous administration of allogeneic mesenchymal stem cells after 8 day transplantation of carcinoma lung Lewis leads to enhance of tumor growth in 1.5 times, tumor infiltration by lymphocytes, volume of metastasis in 3 times, and influences on biological characteristics of primary tumor cells, and it leads to an increase in aneuploidy index (in 1,3 times) and mitotic index and reduced levels of apoptotic cells.
A shortwave radiation model for radiometric correction of optical satellite data in rugged terrain

An accurate land-use classification in rugged terrain requires precise correction of atmospheric and slope-aspect effects. This study evaluates the potential of a physical-based correction approach in the mountainous test site Beckenried in Central Switzerland. A Landsat-5 Thematic Mapper (TM) image, a fine-resolution digital elevation model (DEM) and precise ground reference data for several land-use classes serve as the database. Atmospheric correction procedures are based on the CCRS-version of the radiative transfer code 5S. Predefined model data in 5S for atmospheric profiles are compared with actual radiosonde measurements. The approach for the retrieval of atmospherically corrected reflectances is evaluated also in regard to topographic illumination correction. The impact of slope and aspect are taken into account by modifying the irradiance components calculated by 5S for flat terrain to those of inclined terrain using the DEM. <<ETX>>
ESD protection design to overcome internal damages on interface circuits of CMOS IC with multiple separated power pins

This paper reports a real case for ESD level improvement on a CMOS IC product with multiple separated power pins. After ESD stress, internal damage was found and located at the interface circuit connecting different circuit blocks with different power supplies. Some ESD designs are implemented to rescue this IC product to meet the required ESD specification. By adding only an extra ESD clamp NMOS with a channel width of 10 /spl mu/m between the interface node and ground line, the HBM ESD level of this IC product can be improved from the original 0.5 kV to 3 kV. By connecting the separated VSS power lines through the ESD conduction circuit to a common VSS ESD bus realized by the seal ring, the HBM ESD level of the second version IC product with 12 separated power supply pairs can be significantly improved from the original 1 kV up to >5 kV, without noise coupling issue.
Extreme Didactic Reduction in Computational Thinking Education

To master complex education scenarios, as for example learning algorithms, data structures, programming or data modelling, the educational technique of “didactic reduction” is very useful. For getting better educational results at the end the teacher may reduce details of the learning amount at the beginning. The goal of learning computational thinking is an understanding of principles and concepts of computer science. Depending on the learner and the learning situation the amount of details of the learning content or the size of learning objects or the amount of abstraction may be reduced. The purpose of reduction is to ease or even allow the understanding of concepts. We call a didactic reduction an extreme didactic reduction if the reduction is in some aspects so extreme that it cannot be reduced any more. An extreme didactic reduction may omit completely usually essential content or learning aspects. We give some examples of learning scenarios with different forms of extreme didactic reduction.
Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system

Forward link data throughput performance of a high data rate wireless access system is presented. On the forward link of the proposed system data is transmitted to different access terminals (AT) in a TDM fashion. The rate transmitted to each AT is variable and depends on each AT's measured SINR. ATs send to the access points (AP) the index of the highest data rate which can be received reliably. A scheduler at the AP determines the next terminal to be served based on the reported data rate requests from the terminals and the amount of data that has already been transmitted to each terminal. A cell layout of 19 3-sector and 6-sector hexagonal cells is considered. The throughput of the forward link of the embedded sector is simulated for stationary terminals.
Syndemic effects of HIV risk behaviours: results from the NHANES study

Abstract The aim of the present study is to use the syndemic framework to investigate the risk of contracting HIV in the US population. Cross-sectional analyses are from The National Health and Nutrition Examination Survey. We extracted and aggregated data on HIV antibody test, socio-demographic characteristics, alcohol use, drug use, depression, sexual behaviours and sexually transmitted diseases from cycle 2009–2010 to 2015–2016. We carried out weighted regression among young adults (20–39 years) and adults (40–59 years) separately. In total, 5230 men and 5794 women aged 20–59 years were included in the present analyses. In total, 0.8% men and 0.2% women were tested HIV-positive. Each increasing HIV risk behaviour was associated with elevated odds of being tested HIV-positive (1.15, 95% CI 1.15–1.15) among young adults and adults (1.61, 95% CI 1.61–1.61). Multi-faceted, community-based interventions are urgently required to reduce the incidence of HIV in the USA.
DIRECT MAXILLARY SINUS LIFT WITH SIMULTANEOUS IMPLANT PLACEMENT: A CLINICAL AND RADIOLOGICAL EVALUATION

Maxillary sinus pneumatisation along with resorption of the alveolar bone result in reduced height of residual alveolar bone. Various methodologies have been introduced to elevate the sinus membrane. Direct and indirect sinus lift procedures aid in lifting the sinus membrane, permitting implant placement. This case report discusses one such case of reduced deficient alveolar bone height which was managed by direct sinus elevation for placement of implant
Metrological analysis of a gravimetric calibration system for tipping‐bucket rain gauges

The monitoring of hydro‐meteorological variables for operational and research purposes requires accurate measurements. The reliability of such measurements varies depending on the need to meet different requirements in several sectors, including aviation, agriculture, civil protection, entertainment and weather forecast. In the case of rain gauges, many factors and variables affect the measurement of liquid and solid precipitation in the field. Calibration is a primary tool for quality control and requires suitable infrastructure to perform the tests, and is done by using properly evaluated testing methods and procedures. The current study presents the analysis of a typical calibration system for tipping‐bucket rain gauges, using the gravimetric method, in accordance with the recommendations and requirements of both meteorology and metrology. As a result, the uncertainty contribution of each component of the system and an assessment of the resulting overall uncertainty budget are obtained.
Tag-LDA for Scalable Real-time Tag Recommendation

In this paper, we propose a scalable and real-time method for tag recommendation. We model document, words and tags using tag-LDA model, which extends Latent Dirichlet Allocation model by adding the tag variable. With tag-LDA model, we can make real-time inference about the likelihood of assigning a tag to a new document, and use the likelihood to generate recommended tags. To handle large-scale data set from the web, we implement a distributed training program, which can train the tag-LDA model in parallel with multiple machines. We use a real world blog data set containing 386,012 documents to evaluate our method. The distributed training program can handle the data set efficiently. The tags recommended by our method are 32% better than search-based collaborative filtering.
Vision-based deformation monitoring of large scale structures using Unmanned Aerial Systems

The monitoring and inspection of structures is typically based on visual investigations. Especially the examination of very large structures, for example large retaining walls or dams, is an exceptionally complex task for civil engineers and closely associated with high risks regarding to the assessment of structural stability. For a reliable assessment of the structural stability detailed data of all parts of the structure are required. But an all-embracing inspection of such structures is technically complex and time consuming. This leads to high inspection costs. This paper presents a new vision-based monitoring method of large scale structures based on aerial photos taken by remote controlled unmanned aerial systems. The approach offers the possibility of detailed automatic displacement detection by using photogrammetric computer vision algorithms in post flight analysis. The currently available high-end flight systems and new computer vision methods can contribute to the improvement of quality and efficiency of the inspection and safety of large structures.