Miracle-dz/UniFAR-FTUs huggingface dataset:
SUITABLE MULTI CRITERIA DECISION ANALYSIS TOOL FOR SELECTING MUNICIPAL SOLID WASTE TREATMENT IN THE CITY OF BANDUNG

Municipal solid waste (MSW) generated by the dwellers of the City of Bandung which amounted to 7500 m 3 per day is big deal of a problem for the Government of the City since MSW treatment and management is carried out by the Government business branch (PD Kebersihan). The Government has decided to implement waste to energy (WTE) incineration for MSW treatment three years ago. The realization, however, was nowhere to be seen. One of the reasons that the realization is halted is due to the objection by residents in the neighbourhood of the planned WTE plant site. This paper aims to systematically and objectively assist and support the decision makers in the Government in selecting the most appropriate MSW treatment technology and management for the City via implementation of sound multi criteria decision analysis (MCDA) tools available. Herein, the MSW treatment technology and management regarded as alternatives are open dumping landfill, sanitary landfill, power generation from biogas via anaerobic digestion, power generation via gasification, composting, and waste to energy (WTE) incineration. Moreover, aspects of technology, social, economy, and environment are considered as criteria for selecting the most suitable MSW treatment technology and management. Several well established MCDA tools such as AHP, ELECTRE II, PROMETHEE II, and TOPSIS are applied. Each of the MCDA tool has its own merits and drawbacks which will be investigated in this paper. In addition, sensitivity analyses were carried out in order to investigate the robustness of the methods. Among all MCDA tools mentioned, TOPSIS is the simplest to be used for it does not need much intervention from the decision maker, and yet yields comparable results with others.
Decision Algorithm for Smart Airbag Deployment Safety Issues

Airbag deployment has been known to be responsible for huge death, incidental injuries and broken bones due to low crash severity and wrong deployment decisions. Therefore, the authorities and industries have been looking for more innovative and intelligent products to be realized for future enhancements in the vehicle safety systems (VSSs). Although the VSSs technologies have advanced considerably, they still face challenges such as how to avoid unnecessary and untimely airbag deployments that can be hazardous and fatal. Currently, most of the existing airbag systems deploy without regard to occupant size and position. As such, this paper will focus on the occupant and crash sensing performances due to frontal collisions for the new breed of so called smart airbag systems. It intends to provide a thorough discussion relating to the occupancy detection, occupant size classification, occupant off-position detection to determine safe distance zone for airbag deployment, crash-severity analysis and airbag decision algorithms via a computer modeling. The proposed system model consists of three main modules namely, occupant sensing, crash severity analysis and decision fusion. The occupant sensing system module utilizes the weight sensor to determine occupancy, classify the occupant size, and determine occupant off-position condition to compute safe distance for airbag deployment. The crash severity analysis module is used to generate relevant information pertinent to airbag deployment decision. Outputs from these two modules are fused to the decision module for correct and efficient airbag deployment action. Computer modeling work is carried out using Simulink, Stateflow, SimMechanics and Virtual Reality toolboxes.
Best Sensor Configuration and Accommodation Rule Based on Navigation Performance for INS with Seven Inertial Sensors

This paper considers the best sensor configuration and fault accommodation problem for inertial navigation systems which use seven inertial sensors such as gyroscopes and accelerometers. We prove that when six inertial sensors are used, the isolation of a double fault cannot be achieved for some combinations of fault magnitudes, whereas when seven inertial sensors are used, the isolation of any double fault can be achieved. There are many configurations which provide the minimum position errors. This paper proposes four configurations which show the best navigation performance and compares their FDI performances. Considering the FDI performance and the complexity of the accommodation rule, we choose one sensor configuration and provide accommodation rules for double faults. A Monte Carlo simulation is performed to show that the accommodation rules work well.
Molecular modelling of human 5-hydroxytryptamine receptor (5-HT2A) and virtual screening studies towards the identification of agonist and antagonist molecules

The serotonin receptors, also known as 5-hydroxytryptamine (5-HT) receptors, are a group of G protein-coupled receptors (GPCRs) and ligand-gated ion channels found in the central and peripheral nervous systems. GPCRs have a characteristic feature of activating different signalling pathways upon ligand binding and these ligands display several efficacy levels to differentially activate the receptor. GPCRs are primary drug targets due to their central role in several signal transduction pathways. Drug design for GPCRs is also most challenging due to their inherent promiscuity in ligand recognition, which gives rise to several side effects of existing drugs. Here, we have performed the ligand interaction study using the two prominent states of GPCR, namely the active and inactive state of the 5-HT2A receptor. Active state of 5-HT2A receptor model enhances the understanding of conformational difference which influences the ligand-binding site. A 5-HT2A receptor active state model was constructed by homology modelling using active state β2-adrenergic receptor (β2-AR). In addition, virtual screening and docking studies with both active and inactive state models reveal potential small molecule hits which could be considered as agonist-like and antagonist-like molecules. The results from the all-atom molecular dynamics simulations further confirmed that agonists and antagonists interact in different modes with the receptor.
Generic surface modification strategy for sensing applications based on Au/SiO2 nanostructures

A generic protocol for the creation of material-mediated self-assembled patterns of streptavidin, defined solely by patterns of gold and SiO2, is presented. Protein-adsorption resistance of selected regions was obtained by material-specific adsorption of thiol-modified poly(ethylene)glycol (thiol-PEG) on gold followed by adsorption of poly-l-lysine (PLL) modified PEG (PLL-g-PEG) on SiO2. Selective streptavidin binding to either gold or SiO2 (or both) was ensured by introducing biotin-modified thiolated (thiol-biotin) and/or biotin-modified PLL-g-PEG (PLL-g-PEGbiotin) compounds. The introduction of biotin did not influence the protein-adsorption resistance. On the macroscopic scale, the protein-adsorption-resistant properties and the streptavidin-binding capacity were optimized using quartz crystal microbalance with dissipation monitoring. The reproduction of micrometer-scale gold patterns on SiO2 into patterns of streptavidin was verified using fluorescence microscopy, while the compatibility of the material-specific surface-modification strategy with nanoscale features was accomplished by modifying a localized surface plasmon resonance (LSPR) active template, defined by randomly distributed nanoapertures in a thin gold film on SiO2. The demonstrated compatibility of the latter substrate with LSPR-based label-free sensing of biorecognition reactions, combined with the fact that all compounds utilized are commercially available, makes the surface-modification protocol attractive as a generic surface modification solution for a broad range of biorecognition-based assays.
The exact online string matching problem: A review of the most recent results

This article addresses the online exact string matching problem which consists in finding all occurrences of a given pattern p in a text t. It is an extensively studied problem in computer science, mainly due to its direct applications to such diverse areas as text, image and signal processing, speech analysis and recognition, information retrieval, data compression, computational biology and chemistry. In the last decade more than 50 new algorithms have been proposed for the problem, which add up to a wide set of (almost 40) algorithms presented before 2000. In this article we review the string matching algorithms presented in the last decade and present experimental results in order to bring order among the dozens of articles published in this area.
Psychological State and Mood Effects of Steroidal Chemosignals in Women and Men

We tested the hypothesis that isolated steroids, claimed to act like pheromones, affect human psychological state or mood. In the first experiment, we established that two steroids, Delta4, 16-androstadien-3-one and 1,3,5(10)16-estratetraen-3-ol, modulated emotional states within 6 min of exposure. In men and women, neither steroid had specific effects on states of alertness or negative-confused mood. However, both steroids increased positive stimulated mood state in women but decreased it in men. These psychological findings do not parallel the reported sexually specific effects of these two steroids on the surface potential activity of putative vomeronasal epithelium. In a second experiment on women, we replicated that Delta4,16-androstadien-3-one modulated their general mood state, even when women were not aware of its odor and gave identical olfactory descriptions for the steroid and the control carrier solutions. In this within-subjects, repeated-measures experiment, androstadienone prevented the deterioration in general mood which occurred during exposure to the clove oil carrier solution in the laboratory environment. Thus, androstadienone appears to modulate affect, rather than releasing stereotyped behaviors or emotions. It is premature to call these steroids human pheromones. They are nonetheless psychologically potent, mandating future work delineating their function-i.e., whether these steroids are communicative chemosignals, context specific, or related to unconscious associations. In light of these modulatory effects and the complexity of human behavior, the function of chemosignals and pheromonal systems in a variety of species may need to be expanded to include the concept of modulators, as well as the traditional releasers, primers, and signaling compounds.
DEVELOPMENT OF A BAYESIAN BELIEF NETWORK MODEL FOR THE SOFTWARE RELIABILITY ASSESSMENT OF NUCLEAR DIGITAL I & C SAFETY SYSTEMS

Since the digital instrumentation and control systems are expected to play an important role for the safety systems in nuclear power plants (NPPs), the need has emerged to not only establish a basis for incorporating software behavior into digital I&C system reliability models, but also to quantify the failure probability of the software used in NPP digital protection systems. In this study, a Bayesian belief network (BBN) model is developed to quantitatively assess software reliability by estimating the number of faults in a software program considering its software development life cycle (SDLC). The model structure and parameters are established based on the information applicable to NPP safety-related systems and the evidence used to construct and quantify the BBN model was collected from three stages of expert elicitation. The software failure probability is estimated from the number of residual defects in a software program at the end of SDLC phase. As 796 NPIC&HMIT 2017, San Francisco, CA, June 11-15, 2017 a case study, the BBN model was applied to quantify the software reliability of a typical digital protection software having the size of 50 function points and having the Medium development and validation and verification (V&V) qualities. The developed model can be applied to estimate the failure probability for both developing and deployed safety-related NPP software, and such results can be used to evaluate the quality of the digital I&C systems in addition to estimating potential reactor risk due to software failure.
Safety of Continuous Periprocedural Rivaroxaban for Patients Undergoing Left Atrial Catheter Ablation Procedures

Background—This study aimed to evaluate the safety of continuous periprocedural rivaroxaban administration during left atrial radiofrequency ablation (RFA) in comparison with uninterrupted oral vitamin K antagonist administration. Data about the use of rivaroxaban in the setting of left atrial RFA procedures are lacking. Methods and Results—The study cohort included 544 patients (mean age, 63±10 years) who underwent left atrial RFA procedures between February 2012 and May 2013. All patients (n=272) receiving uninterrupted periprocedural rivaroxaban 15 or 20 mg/d before the procedure (rivaroxaban) were matched by age, sex, and type of rhythm disorder with an equal number of patients managed with uninterrupted vitamin K antagonist phenprocoumon (international normalized ratio, 2–3). During RFA, heparin was given intravenously to maintain an activated clotting time at 270 to 300 s. The safety end point was a composite of bleeding, thromboembolic events, and death. There were no thromboembolic complications and no deaths in either group. The prevalence of major bleeding complications was similar in both groups (1 tamponade in RivG and 1 groin hematoma requiring transfusion in phenprocoumon). Minor bleeding complications occurred equally in both groups (20 of 272; 7% in the rivaroxaban versus 33 of 272, 12% in the phenprocoumon; P=0.08). In multivariable analyses, female sex was associated with a greater risk of complications (odds ratio, 1.96; 95% confidence interval, 1.10–3.49). Conclusions—In patients undergoing left atrial RFA, continuous periprocedural rivaroxaban use seems to be as safe as uninterrupted periprocedural phenprocoumon administration.
Moments of Reflection, Moments of Distortion : Interactive Research as Temporary Learning Systems

Field research is in fact social interaction between researchers and informants. A longitudinal study of an organization is here analysed as a number of temporary social systems. The tem-porary system metaphor is a proposal to view obtrusion as ”learning” instead of ”distortion”. The temporary learning systems analysed are evaluations of ten sub–units in a Swedish county council. Distortion/learning appears in temporary interaction systems because of (1) anxiety arousal concerning the unfamiliar situation, (2) attention focus to research problem, (3) use of preliminary conclusions and reports in the validation process, and (4) the infor-mants’ feed-back of information to their permanent organizational context. Depending on the research problem, these effects could be more or less beneficial to the researcher.
Effects of a shoot training programme with a reduced hoop diameter rim on free-throw performance and kinematics in young basketball players

Abstract The present paper investigated the effects of a shoot training programme with a reduced hoop diameter (0.35 m) rim on kinematics and performance of basketball free-throws. Eighteen young male basketball players were divided into control (CG, n = 9) and experimental (EG, n = 9) groups. Both groups undertook a 10-week training programme comprising two training sessions per week. Under fatigued conditions, each participant shot 150 free-throws in each training session, with the CG using a standard rim, and the EG a smaller rim. All other training was identical between groups. Ball release parameters, player's kinematics and mean of successful free-throws (out of 150 attempts) were determined for each participant, before and after completion of the training programme. Following training, a significant increase (P < 0.05) in ball release angle, speed and height and in shoulder joint angle at release (P < 0.01) was observed for the EG. Both the CG (P < 0.001) and the EG (P < 0.0001) showed an increase in the number of successful free throws, although the increase was greater (P < 0.05) for the EG (22.7 ± 6.4 free throws) than for the CG (14.6 ± 7.8 free throws). We conclude that training with a reduced rim significantly improves free-throw performance in young basketball players.
Emulation of PMSG/half-controlled converter combination with digital signal processor

Permanent magnet synchronous generators (PMSG) with full-power converters are becoming more and more popular a choice in wind power conversion systems. This paper presents a real-time emulator for a PMSG drive with a half-controlled bridge. One major advantage of a real-time emulator is that it can be safely used to test the system response in a malfunction of e.g. a speed sensor. The emulator is implemented on a digital signal processor (DSP). Obtained emulation results are verified against measurements with a real PMSG drive system. Results show a good agreement between emulated and measured values.
Simultaneous recognition, localization and mapping for wearable visual robots

With the advent of ever smaller and more powerful portable computing devices, and ever smaller cameras, wearable computing is becoming more feasible. The ever increasing numbers of augmented reality applications are allowing users to view additional data about their world overlaid on their world using portable computing devices. The main aim of this research is to enable a user of a wearable robot to explore large environments automatically viewing augmented reality at locations and on objects of interest. To implement this research a wearable visual robotic assistant is designed and constructed. Evaluation of the different technologies results in a final design that combines a shoulder mounted self stabilizing active camera, and a hand held magic lens into a single portable system. To enable the wearable assistant to locate known objects, a system is designed that combines an established method for appearance-based recognition with one for simultaneous localization and mapping using a single camera. As well as identifying planar objects, the objects are located relative to the camera in 3D by computing the image-to-database homography. The 3D positions of the objects are then used as additional measurements in the SLAM process, which routinely uses other point features to acquire and maintain a map of the surroundings, irrespective of whether objects are present or not. The monocular SLAM system is then replaced with a new method for building maps and tracking. Instead of tracking and mapping in a linear frame-rate driven manner, this adopted method separates the mapping from the tracking. This allows higher density maps to be constructed, and provides more robust tracking. The flexible framework provided by this method is extended to support multiple independent cameras, and multiple independent maps, allowing the user of the wearable two-camera robot to escape the confines of the desk top and explore arbitrarily sized environments. The final part of the work brings together the parallel tracking and multiple mapping system with the recognition and localization of planar objects from a database. The method is able to build multiple feature rich maps of the world and simultaneously recognize, reconstruct and localize objects within these maps. The object reconstruction process uses the spatially separated keyframes from the tracking and mapping processes to recognize and localize known objects in the world. These are then used for augmented reality overlays related to the objects.
Safety and efficacy of misoprostol and dinoprostone as cervical ripening agents.

INTRODUCTION The study compares safety and efficacy of misoprostol and dinoprostone as cervical ripening agents. METHODS Patients with term, vertex, singleton pregnancy and Bishop score of 4 or less were randomly assigned to receive misoprostol pessary (n=35, 50 microg intravaginally) or dinoprostone gel (n=31, 0.5 mg intracervically) at 6 hourly intervals. If there were no progress in cervical dilatation or effective uterine contraction even after maximum dose, patients were taken for cesarean section. Patients who achieved Bishop's score more than 7 but the delivery was not progressing, were augmented with oxytocin drip. RESULTS No uterine hyperstimulation was observed in both groups. However, abnormal fetal heart rate was observed in 3(8.6%) cases in misoprostol group and 2 (6.5%) in dinoprostone group. There was no statistically significant difference in meconium passage in two groups. Apgar score less than 7 at 1 minute was seen in 6 (19.4%) and 11 (31.4%) neonates in dinoprostone and misoprostol group respectively. However Apgar score less than 7 at 5 minutes was found in only one neonate of dinoprostone treated patient. Both drugs were found to be equally effective in improving Bishops score with no significant difference in mean induction to delivery time. Cesarean section was done among 32.3% and 28.6% respectively in dinoprostone and misoprostol groups. There was significant reduction in the need for oxytocin augmentation in misoprostol (37.1%) group than in dinoprostone (67.7%) group. CONCLUSIONS Vaginal misoprostol is an effective, safer and cheaper alternative to dinoprostone as a cervical ripening agent in underdeveloped countries.
In vitro and in vivo binding of neuroactive steroids to the sigma‐1 receptor as measured with the positron emission tomography radioligand [18F]FPS

Sigma‐1 receptors are widely expressed in the mammalian brain and also in organs of the immune, endocrine and reproductive systems. Based on behavioral and pharmacological assessments, sigma‐1 receptors are important in memory and cognitive processes, and are thought to be involved in specific psychiatric illnesses, including schizophrenia, depression, and drug addiction. It is thought that specific neuroactive steroids are endogenous ligands for these sites. In addition, several sigma‐1 receptor binding steroids including progesterone, dihydroepiandrosterone (DHEA), and testosterone are being examined clinically for specific therapeutic purposes; however, their mechanisms of action have not been clearly defined. We previously described the high affinity sigma‐1 receptor selective PET tracer [18F]FPS. This study examines the effect of neuroactive steroids on [18F]FPS binding in vitro and in vivo. Inhibition constants were determined in vitro for progesterone, testosterone, DHEA, estradiol, and estriol binding to the [18F]FPS labeled receptor. The affinity order (Ki values) for these steroids ranged from 36 nM for progesterone to >10,000 nM for estrodiol and estriol. Biodistribution studies revealed that i.v. coadministration of progesterone (10 mg/kg), testosterone (20 mg/kg), or DHEA (20 mg/kg) significantly decreased [18F]FPS uptake (%ID/g) by up to 50% in nearly all of eight brain regions examined. [18F]FPS uptake in several peripheral organs that express sigma‐1 receptors (heart, spleen, muscle, lung) was also reduced (54–85%). These studies clearly demonstrate that exogenously administered steroids can occupy sigma‐1 receptors in vivo, and that [18F]FPS may provide an effective tool for monitoring sigma‐1 receptor occupancy of specific therapeutic steroids during clinical trials. Synapse 61:540–546, 2007. © 2007 Wiley‐Liss, Inc.