Miracle-dz/UniFAR-FTUs huggingface dataset:
Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization

ABSTRACT Machine learning specific scholarly full-text documents contain a number of result-figures expressing valuable data, including experimental results, evaluations, and cross-model comparisons. The scholarly search system often overlooks this vital information while indexing important terms using conventional text-based content extraction approaches. In this paper, we propose creating semantically enriched document summaries by extracting meaningful data from the results-figures specific to the evaluation metric of the area under the curve (AUC) and their associated captions from full-text documents. At first, classify the extracted figures and analyze them by parsing the figure text, legends, and data plots – using a convolutional neural network classification model with a pre-trained ResNet-50 on 1.2 million Images from ImageNet. Next, we extract information from the result figures specific to AUC by approximating the region under the function’s graph as a trapezoid and calculating its area, i.e., the trapezoidal rule. Using over 12,000 figures extracted from 1000 scholarly documents, we show that figure specialized summaries contain more enriched terms about figure semantics. Furthermore, we empirically show that the trapezoidal rule can calculate the area under the curve by dividing the curve into multiple intervals. Finally, we measure the quality of specialized summaries using ROUGE, Edit distance, and Jaccard Similarity metrics. Overall, we observed that figure specialized summaries are more comprehensive and semantically enriched. The applications of our research are enormous, including improved document searching, figure searching, and figure focused plagiarism. The data and code used in this paper can be accessed at the following URL: https://github.com/slab-itu/fig-ir/.
A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.
Traffic Impact Analysis by Using Geographic Information System Technology

Several software tools are available to help the planner or engineer forecast the traffic impacts of site developments that are too small to effectively use transportation modeling software. Using these tools can provide numerous time-saving advantages. The tools include trip generation software that has built-in trip rates taken from the Institute of Transportation Engineers trip generation manual and manual pathencoding traffic impact software that will identify turn movements and link volumes (as well as intersection levels of service) given certain inputs. Manual path-encoding software such as TRAFFIX requires manually creating a network of project zones, critical intersections, and connecting road segments; inputting existing count data and trip generation information; manually describing the paths that traffic takes to get from a development to a gateway (trip assignment); and inputting the percentage of trips that go to each gateway from a development (trip distribution). Once these inputs have been made, traffic volumes that result from the developments are automatically applied to the intersections. Many of the manual path-encoding software packages will include intersection capacity analysis capabilities. A major benefit of manual path-encoding software is that different land use alternatives can be analyzed quickly. The drawback of these software packages is the extensive manual input required for even small networks. Described in this paper is a site impact tool based on geographic information system (GIS) technology that works on the same premise as the manual path-encoding tools. The major difference is that this approach makes heavy use of the network analysis and map manipulation tools of GIS to significantly enhance the process of doing traffic site impact analysis. An actual application is presented.
Association between Attitude towards Wife Beating and Childhood Diarrhea: A Demographic and Health Survey-Based Study in 25 Sub-Saharan African Countries

Background Childhood diarrhea remains a major public health problem in sub-Saharan Africa (SSA). Women empowerment reduces child mortality, and wife beating attitude is one of the indicators of women empowerment. There is a dearth of evidence about wife beating attitudes and childhood diarrhea in SSA. Therefore, the present study aimed to examine the association between attitude towards wife beating and diarrhea among under-five children. Methods We used Demographic and Health Surveys from 25 countries in SSA that were conducted between 2010 and 2020. Using Stata version 14 software, we carried out the analysis on 153,864 children under five. Bivariate and multivariate logistic regression analyses were applied, and the results were presented using adjusted odd ratios (aOR) at 95% confidence interval (CI). Results The pooled results show that 71.4% of married women disagreed with wife beating. About 20.5% of under-five children of married women had diarrhea. Childhood diarrhea varied from highest prevalence in Chad (27.9%) to the lowest prevalence in Sierra-Leone (8.5%). The study showed lower odds of diarrhea among children of married women who disagreed with wife beating (aOR = 0.66 95% CI; 0.54–0.80) compared to children of married women who agreed with wife beating. Moreover, the study results show that women's age (35–39 years-aOR = 0.48, 95% CI; 0.31–0.74, 40–44 years-aOR = 0.57, 95% CI; 0.35–0.93, 45–49 years-aOR = 0.35, 95% CI; 0.16–0.79) was negatively associated with childhood diarrhea, while husband's education (primary school-aOR = 1.36, 95% CI; 1.05–1.77), parity (ever born 3-4 children-aOR = 1.36, 95% CI; 1.09–1.70, and 5+ children-aOR = 1.56, 95% CI; 1.14–2.12), and religion (Muslim-aOR = 3.56, 95% CI; 1.44–8.83) were positively associated with diarrhea among under-five children. Conclusions The study shows association between women attitude towards wife beating and childhood diarrhea. Therefore, empowering women, especially young women by increasing awareness about domestic violence, their rights, and empowering them through education and economic advancement need to be considered in order to reduce childhood diarrhea. Moreover, fertility control or birth spacing and working closely with religious leaders are important factors to consider in reducing childhood diarrhea.
The fabrication and characterization of 4H—SiC power UMOSFETs

The fabrication of 4H—SiC vertical trench-gate metal-oxide-semiconductor field-effect transistors (UMOSFETs) is reported in this paper. The device has a 15-μm thick drift layer with 3×1015 cm−3 N-type doping concentration and a 3.1-μm channel length. The measured on-state source—drain current density is 65.4 A/cm2 at Vg = 40 V and VDS = 15 V. The measured threshold voltage (Vth) is 5.5 V by linear extrapolation from the transfer characteristics. A specific on-resistance (Rsp-on) is 181 mΩ·cm2 at Vg = 40 V and a blocking voltage (BV) is 880 V (IDS = 100 μA@880V) at Vg = 0 V.
Redundancy management of the Space Shuttle inertial measurement units

A description is given of the inertial measurement unit (IMU) redundancy management (RM) techniques for automatic in-flight monitoring of inertial instrument performance by the Space Shuttles primary onboard guidance, navigation, and control computers. The techniques and rationale for detecting and identifying faulty instruments are discussed. Special attention is given to the design philosophy, thresholds, and error propagation characteristics of the IMU RM system. The derivation of thresholds is described from the viewpoint of reliability and the safety of the vehicle and crew.
Sistema de detecção automática de paroxismos epileptogênicos em sinais de eletroencefalograma

This paper presents an automatic computational system to detect and classify epileptogenic transients in electroencephalogram (EEG), to aid Epilepsy diagnosis. Due to great variability on the morphology of these events, conventional tools of pattern recognition are not able to distinguish between normal and epileptogenic activity, and visual detection is a very time-consuming task. So, tools and methods normaly used to detect these events try to imitate human expertise. False positive detection represents considerable impediment to extensive use of automatic systems by EEG readers. The proposed system applies Wavelet Transform to extract only epileptogenic features from the EEG signals, and a group of specialized Artificial Neural Networks (ANNs) to distinguish spike and sharp wave events from normal background activity. Two ANNs are used cooperatively, allowing greater flexibility in adjusting system's sensibility and specificity, to improve performance. When sensibility and specifity are set to be equal, system's performance achieves 80%.
The effect of a penile fracture on ejaculatory and erectile functions: A cross-sectional study

Background/Aim: There is not enough data in the literature about ejaculatory and erectile functions after a penile fracture. We aimed to report the post-fracture ejaculatory and erectile function change and their relationship with the psychological condition of the patient. Methods: We retrospectively evaluated 27 patients with a penile fracture who were treated surgically. Pre-fracture and post-fracture ejaculatory and erectile functions were evaluated with Intravaginal Ejaculation Latency Time (IELT) and International Index of Erectile Function (IIEF) questionnaires. The psychological conditions of the patients after the fracture were evaluated with the Beck depression score. Results: The mean IELT was increased after penile fracture ( P= 0.007). The post-fracture and pre-fracture IIEF scores were similar ( P= 0.062). There was a positive correlation between Beck depression score and post-fracture IELT (r=0.498; P= 0.008). Conclusions: According to our results, ejaculation time was longer after penile fractures. It may be related to neurogenic damage due to trauma or the post-fracture psychological condition. However, larger studies with long-term outcomes may reveal the relationship more thoroughly.
Increased nitrogen removal in existing volumes at Sundet wastewater treatment plant, Växjö

Many wastewater treatment plants need to improve their nitrogen removal due to stricter requirements and increasing loads. This often means larger bioreactor volumes, which can be very expensive and is sometimes impossible if space is limited. Therefore, there is a need for compact hybrid solutions that can increase capacity within existing volumes. Two full-scale demonstration projects using moving bed biofilm reactor (MBBR) technology has proven to be an efficient way to treat nitrogen in existing volumes at Sundet wastewater treatment plant in Vaxjo. Increased nitrification and denitrification capacity in parts of the main stream were demonstrated through the Hybas™ process, a combination of MBBR and activated sludge using the integrated fixed-film activated sludge technology. The ANITA™ Mox process, using autotrophic N-removal through anaerobic ammonium oxidation (anammox), provided high nitrogen removal for the sludge liquor. Data collected on-site for over a year are analyzed and compared with the performance of conventional treatment systems. These two full-scale demonstration projects have been a successful learning experience in identifying and correcting both process and operational issues, which may not have arisen at pilot scale. The set objectives in terms of nitrogen removal were met for both processes and design modifications have been identified that will improve future operation at Sundet WWTP.
Marketing practices of professional engineering consulting firms: Implement or not to implement?

Abstract This article explores the necessity of applying marketing practices by engineering consulting firms that serve the construction industry. Most construction professionals perceive marketing as an unimportant management function. The present study provides support to similar previous studies conducted in other countries which found marketing is more ‘trappings’ rather than ‘substance’. Stiff competition drives civil and structural engineering (C&S) firms in Malaysia to suit their marketing practices in ensuring survival. In relation to this, company profile or characteristics such as firm organization, operational structure and nature of environment help providing an explanation on the readiness of these firms to fully implement marketing practices. The results also suggest that these firms use minimal marketing with the professional image projected by the directors or principals as playing an important role.
STUDY AND ANALYSIS OF A NEW DEVICE FOR THE REHABILITATION OF THE TIBIOTARSAL JOINT ESTUDIO Y ANÁLISIS DE UN NUEVO DISPOSITIVO PARA LA REHABILITACIÓN DE LA ARTICULACIÓN TIBIOTARSAL

Introduction: Currently, there are several types of devices and techniques for the rehabilitation of the tibiotarsal joint. However, complete and effective rehabilitation still falls short of expectations, since the existing devices are not adaptable to the level of torque and the number of repetitions and sessions to be performed, as these depend on each patient and on the stage at which he is finds. Objetives: To improve a mechatronic device for the rehabilitation of the tibiotarsal joint, the Therapheet. Methods: This study presents a review of the tibiotarsal joint rehabilitation protocols, as well as the classification of devices used for this purpose. Thus, the purpose is to improve the Therapheet, developed at the Department of Mechanical Engineering of the University of Minho, obtaining a viable, functional and safe rehabilitation device, standing out from the rest on the market, since it allows the execution of the six rehabilitation exercises. Results: It was obtained a prototype of equipment for rehabilitation of the tibiotarsal joint was obtained, proposing changes for improvement according to the specificities and requirements for such a device, having been subjected to a series of preliminary tests to verify its functionality, performance and suitability. The equipment proved to be functional, in terms of executing the ankle rehabilitation movements, however, it still manifests some flaws in terms of the user's stability, sudden movements, and above all dysfunctions arising from excess mass that make up its structure and limitations pneumatic technology adopted. Conclusions: The control of the amplitude of the characteristic angles of the movements of the foot is still done manually, so it would be significant to implement an automated system that would allow the control of the range of amplitude, according to the patient's rehabilitation phase. One option would be the implementation of a new technology, such as the insertion of servomotors.
Real-Time Visual Analytics for Patient’s Health Monitoring

-The overflow of new technologies that enable live streams of big data has availed healthcare monitoring in real time. A massive amount of medical data generated by IoT wearable devices can be transmitted today in real-time to medical professionals. However, the high velocity and time sensitivity of such data make it difficult to include the analysis and processing to extract insights in real-time. This work presents an approach for patient health monitoring based on visual analytics to help collecting, processing, and visualizing medical data streams in real-time. A first prototype of this system was developed, and initial results are presented.
Implementation of Overall Equipment Effectiveness (OEE) in Maintenance Management

This research paper discussed the implementations of Overall Equipment Effectiveness (OEE) in maintenance management. This narrative research is based on the review of previous studies. Literature review is summarized, discussed and presented in tables. Since, the efficient & smooth flow of production system has been the severe concern in maintenance management due to its association with cost; thus it has been the focus of academicians and practitioners to study and implement effective maintenance management philosophy. Since, OEE is an effective technique for the efficient & smooth flow of production system and its techniques have captured the immense attention of academicians and practitioners for maintenance management. Therefore, there is an extreme need to conduct such studies about the usefulness and drawbacks of OEE implementation. In future, other maintenance management philosophies can be discussed in depth to put clearer and broader picture and to draw more comprehensive conclusions. Moreover, existing studies lack to investigate the implementation in various sectors. Studies related to OEE are significantly important in the development of maintenance knowledge due to variations in industrial sectors. In this regard, present review is conducted to put the open and broader picture of Overall Equipment Effectiveness (OEE) implementations in maintenance management comprehensively.
THERMAL PROPERTIES OF HL002-TA/B EPOXY RESIN/HARDENER IN FIBRE METAL LAMINATES COMPOSITES FOR AERO-ENGINE

Fibre metal laminates (FML) composite are now widely used in many industries such as aerospace and automobile industries among others due to their superior properties compared to those of traditional materials; therefore the thermal stability and viscoelastic properties of the composite play important roles in high temperature application. The main purpose of this study is to evaluate the performance of the composites at high temperature application in fire designated zone of an aircraft engine. The composites were fabricated in a mold using hand lay-up method, compressed using a compression machine and then cured for 24 hours. The composites were heated from ambient temperature to a certain higher temperature at different heating rates using nitrogen and air gas for mass loss during thermogravimetric analysis (TGA), storage modulus, loss modulus and tan delta for dynamics mechanical analysis (DMA). The TGA result indicated a remarkable improvement in the thermal stability of all the fibre metal laminate composites where carbon fibre reinforced aluminium laminate with aluminium alloy at front and rear face had the highest percentage of residue which was 58.85%, while the smallest percentage was shown by the composite that was hybridized with natural fibre (kenaf). Dynamic mechanical results showed an increase in the storage modulus and an average glass transition temperature in the presence of polymer used; higher increment was observed on carbon fibre reinforced aluminium alloy with aluminium alloy at front and rear face. This investigation confirmed that fibre metal laminates of aluminium alloy 2024-T3, carbon fibre, epoxy and some other types of natural fibres composites possess excellent features that can be used in fire designated zone of an aircraft engine nacelle in the near future. Keywords-dynamic mechanical analysis; fibre metal laminate; natural/synthetic fibre; thermogravimetric analysis;
Design and Evaluation of Biometric-enabled Interview Assisting Traveller Screening Technology

This report presents the deliverables for the “Roadmap for Biometrics at the Border" (CSSP-2015-TI-2158) study conducted by the Canada Border Services Agency (CBSA) in partnership with University of Arizona (UA) and San Diego State University (SDSU) through support from the Defence Research and Development Canada, Canadian Safety and Security Program (CSSP). The main objective of this study was to generate critical knowledge related to the use of biometric-enabled Interview Assisting Traveller Screening (IATS) technology, such as AVATAR kiosks developed by UA and SDSU. The deliverables include: overview of manual behaviour screening limitations, overview of challenges related to designing biometric-enabled behaviour screening (BEBS) systems, development of a novel framework for designing and evaluating BEBS systems, conducting a mock-up experiment with the AVATAR kiosk at the CBSA, and recommendations based on the insights gained from the conducted evaluations.
Gravityderived Moho map for Latvia

A precise understanding of crustal structure is essential to the fields of geodynamics, seismology and certain branches of geophysics. A boundary between the crust and the mantle is known as the Mohorovičić discontinuity, simply referred to as the ‘Moho’. Moho geometry and depth have been extensively studied in Europe, but there are still regions with little information about it. One such area is the northern Baltics, Latvia in particular. So far, only one seismic refraction profile, spanning from Sovetsk (Kaliningrad) to Kohtla­Järve (Estonia), has been used to study the deep structure of the Earth in Latvia. We propose gravity inversion (Parker– Oldenburg algorithm) to gain more insight into the Moho depth of Latvia. Multiple gravity sources are combined into a single dataset with the regression­kriging method. Gravity data are then iteratively filtered with various wavelength low­pass filters. We use different combinations of these filtered datasets and varying input parameters – mean depth to the Moho and density contrast between the crust and the mantle – to carry out multiple iterations of the inversion, validating the results by seismic refraction profiles available for Latvia. The calculated Moho depth varies from 41.5 km in the southern and northeastern parts of Latvia to 46.5 km in the northern part of Latvia and the Gulf of Riga. We conclude that gravity inversion with the Parker–Oldenburg algorithm can be used as an alternative to the seismic exploration of the Moho, especially in places where there is a shortage of earlier seismic data. The obtained results also show that it is necessary to create multiple models with various combinations of input values when using the Parker– Oldenburg inversion algorithm.