Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning with Certainty: A Requirement for Intelligent Process Automation

Many dull but non-trivial tasks in the financial industry are performed by human staff, but could be automated by intelligent systems that observe staff and learn the correct processes. Such systems present unique design challenges, because errors are so costly they are simply unacceptable (referring a case to humans for manual processing would be better than processing it incorrectly). In this paper the system is cast as a classifier which learns to trigger an action under the right conditions. Several design constraints for the classifier are proposed, including interpretability and the absolute need to avoid any false positives. A gap is identified in current literature with respect to these constraints. We present "SureTree" - a simple meta-learning algorithm for training decision trees with minimal risk of false positives - and compare its performance to several conventional alternatives.
Verifying User Concentration Based on Brainwave Control Applied to Different Game Training Methods

This study discusses the research applied to educational fields to train students' concentration through brainwave-controlled light changes, Unity visual images, sound effects, and virtual reality immersive training. Using brainwaves to control integrated and interesting game applications for concentration training can effectively improve students' learning outcomes. The present study tested each participant who had been subjected to different game effects. During the tests, the brainwave controller outputted the alpha (α) and beta (ß) waves. This study used the brainwave values obtained to verify whether different game control effects can effectively improve the results of concentration training. During this process, the observer can determine the effectiveness of students' concentration training and observe students increase in interest as different applications are used for concentration training. The experimental results provided in the present study indicate that interesting training can improve the concentration level of students.
A Fuzzy Spiking Neural Network for Behavior Estimation by Multiple Environmental Sensors

In recent years, the aging of the population has become an important social issue for Japan and other developed countries. Especially for elderly people who live alone, due to lack of guardians, lonely death and accidents caused senile dementia occur from time to time. In this paper, we developed a monitoring system for the elderly based on the idea of Information Structure Space. By collecting environmental data we can estimate behavior of the elderly in the room. In this way, if the system finds an exception, an alert can be sent at any time. For this purpose, we use the fuzzy spiking neural network to realize the estimation of human behavior. In the experiment, we collected four kinds of environmental sensor data from bathroom and toilet. The result shows the system can estimate human's behavior with 94% accuracy.
Ensuring Safety in Augmented Reality from Trade-off Between Immersion and Situation Awareness

Although the mobility and emerging technology of augmented reality (AR) have brought significant entertainment and convenience in everyday life, the use of AR is becoming a social problem as the accidents caused by a shortage of situation awareness due to an immersion of AR are increasing. In this paper, we address the trade-off between immersion and situation awareness as the fundamental factor of the AR-related accidents. As a solution against the trade-off, we propose a third-party component that prevents pedestrian-vehicle accidents in a traffic environment based on vehicle position estimation (VPE) and vehicle position visualization (VPV). From a RGB image sequence, VPE efficiently estimates the relative 3D position between a user and a car using generated convolutional neural network (CNN) model with a region-of-interest based scheme. VPV shows the estimated car position as a dot using an out-of-view object visualization method to alert the user from possible collisions. The VPE experiment with 16 combinations of parameters showed that the InceptionV3 model, fine-tuned on activated images yields the best performance with a root mean squared error of 0.34 m in 2.1 ms. The user study of VPV showed the inversely proportional relationship between the immersion controlled by the difficulty of the AR game and the frequency of situation awareness in both quantitatively and qualitatively. Additional VPV experiment assessing two out-of-view object visualization methods (EyeSee360 and Radar) showed no significant effect on the participants' activity, while EyeSee360 yielded faster responses and Radar engendered participants' preference on average. Our field study demonstrated an integration of VPE and VPV which has potentials for safety-ensured immersion when the proposed component is used for AR in daily uses. We expect that when the proposed component is developed enough to be used in real world, it will contribute to the safety-ensured AR, as well as to the population of AR.
Dynamic Networks: Representations, Abstractions, and Well-Posedness

This paper introduces notions of abstraction and realization for dynamic networks. These processes generate dynamically equivalent representations of a system, but with varying degrees of structural detail. Nuanced definitions and associated conditions for maintaining well-posedness for these multi-resolution representations of a dynamic system are then detailed, ensuring that hierarchies of network representations are sensible as multi-resolution models of dynamic networks. Although the ideas are developed precisely here for LTI networks, many of the concepts remain fundamental in the nonlinear setting.
An Empirical study on planning and design collaboration of urban railway construction bridge and culvert project based on BIM

Traffic infrastructure construction needs the first introduced project during the urban development process. Good traffic development planning will inevitably bring better conditions for urban development and construction. In this study, BIM technology is introduced into the application of a railway bridge and culvert project in China. Firstly, the application process and framework of BIM technology are planned in A/E firm. Secondly, the BIM model is applied in the planning and design phase of a railway track engineering bridge and culvert project. The project scale is 170km, including 10 project segments, and the BIM technology is fully utilized. Advantages include collaborative design and review, visual analysis, bridge and culvert library, geographic location and elevation analysis, bridge and culvert filling model and space review etc. Finally, the application of this project summarizes the BIM technology in railway bridge and culvert project planning and design collaboration benefits and experience learning as well as discussed.
Complex-Valued Binary Compressive Sensing

One-bit (or binary) compressive sensing (CS) is a relatively new idea in the theory of sparse signal reconstruction. It is based on using only the sign of the available measurements for the signal recovery. In this paper, we analyze the one-bit CS concepts on complex-valued random Gaussian measurement matrices. The signal is reconstructed using an iterative hard thresholding algorithm, modified for the complex-valued binary measurements. The considered CS approach is particularly suitable for hardware realizations. The reconstruction performance is validated numerically, and compared with the traditional CS reconstruction based on quantized digital measurements.
Performance Evaluation of Indoor Characteristic based on Bluetooth Low Energy Communication System through Statistical Approach

Recently, Bluetooth low energy (BLE) is widely used for short-range communication among wireless devices. The challenge of utilizing BLE in indoor localization is the characteristic of the observation area where multipath fading, shadowing, interference, and reflection of signal would appear. This paper proposed a new approach of evaluating the performance of wireless device communication system using BLE module in an indoor environment in term of estimating the position of the device using localization technique. Linear Regression method is used to refine the modeling distance parameter which measured previously. The simulation result shows that combining Linear Regression and Lognormal shadowing method for distance modeling will enhance the accuracy up to 99%.
Improving BLE Based Localization Accuracy Using Proximity Sensors

Bluetooth Low Energy systems are one of the most popular solutions used for indoor localization. Unfortunately their accuracy might not be sufficient for some of the applications. One way to reduce localization errors is hybrid positioning, which combines measurement results obtained with different techniques. The paper describes a concept of a hybrid localization system in which Bluetooth Low Energy technology is supported with the use of laser proximity sensors. Results from both system parts are fused using a novel, simple positioning algorithm. The proposed system concept was tested using BLE and proximity sensors evaluation boards.
Improving Classification Accuracy in Cortical Surface Recordings Using ICA-Based Features

Performance of classifiers on electrophysiological signals are often affected by volume conduction, thus compromising their reliability and classification accuracy. This issue is usually incorrectly overlooked when dealing with electrocorticography (ECoG) recordings. Here we propose that preprocessing ECoG signals using Independent Component Analysis (ICA) can improve classification performance. To test this hypothesis we use ECoG signals measured from the cortical surface of an epileptic subject. ECoG signals from subtemporal cortex were recorded while a series of face and house images were displayed briefly. We compare the performance of house versus face classifiers using features extracted from the recorded signals versus their independent components (ICs). We show that classification accuracy based on IC features is preserved when the channels with the highest single channel classification accuracy are removed from the analysis. Hence, features of independent signal spaces derived by ICA decomposition may improve the robustness and reliability of signal-based Brain-Computer Interface (BCI) classifiers.
On the Analysis of the M Geo /M Geo /1/N Queue with Batch Poisson Arrivals and Service Completions ∗

This paper studies the M Geo /M Geo /1/N queue with a single server, batch Poisson arrivals and service completions and finite capcacity. The distri- bution of the number of customers in the queue at pre- and post-arrival epochs is analysed and closed form expressions for performance distributions, such as steady state queue length distribution, blocking probability and waiting time distribution are derived. Moreover, information theoretic interpretations based on the principles of Maximum Entropy(ME) and Min- imum Relative Entropy (MRE) are given.
Quitando el velo a la memoria: estructuras ocultas y malware. BIP-M, un framework de extracción de información de memoria.

El analisis forense de la memoria volatil de una computadora se ha convertido en un importante campo de interes, con relativamente pocas soluciones fuera de paquetes comerciales cerrados. Esta rama de la ciencia forense digital esta llena de desafios: la memoria tiene un diseno diferente dependiendo del sistema operativo, arquitectura de hardware e incluso en las caracteristicas del microprocesador. Despues de una extensa investigacion, el proyecto BIP-M esta cerca de presentar un marco para el analisis forense de la memoria RAM, y una herramienta construida encima de ella.
Theme: Paracetamol (acetaminophen) poisoning

Which of the following are true regarding paracetamol? 1. With therapeutic dosing, paracetamol peak plasma concentrations occur within 1 h. 2. Administration of 50 g activated charcoal within 2 h of paracetamol overdose reduces mortality rates when combined with N-acetylcysteine (NAC) given within 8 h of ingestion. 3. Activated charcoal adsorbs paracetamol but not orally administered NAC. 4. Both paracetamol and NAC cross the placenta. Which of the following are true of N-acetylcysteine (NAC)? 1. Intravenous NAC is more effective than oral NAC for paracetamol overdose. 2. NAC initial dosing is both patient weight-based and proportional to the 4 h …
FREQUENCY OF DRY SOCKET, PAIN, WOUND DEHISCENCE AND SWELLING ONE WEEK AFTER REMOVAL OF MANDIBULAR THIRD MOLAR IMPACTION

Objective: The objective of this study was to determine the frequency of dry socket, pain and swelling; one week after removal of mandibular third molar impaction. Material and Methods: One hundred patients having mandibular third molar impaction were included in the study. The extractions were done by house surgeons and trainee medical officers. Smokers, patients with systemic diseases, using medications were excluded from the study. After elevating mucoperiosteal flap, mandibular third molar removal, primary closure was done with 3-0 suture (silk or vicryl). All patients were instructed properly and prescribed antibiotics and analgesics. Age, gender and complications of disimpaction (dry socket, pain, wound dehiscence and swelling) at one week follow up were recorded. The data were analyzed using SPSS 17. Results: Out of hundred patients, 44 (44%) were females and 56(56%) were males. The age was ranged from 18 to 45 years. The common age group was 21-25 years. The frequency of dry socket one week after mandibular third molar extraction was 10% in this sample of population.The frequency of wound dehiscence one week after mandibular third molar extraction was 10%. The frequency of mild pain, moderate , and sever pain one week after mandibular third molar extraction were 41, 10, 4% respectively. The frequency of swelling one week after mandibular third molar extraction was 35%. Conclusions: Third molar surgical extraction is associated with many complications which can be minimized by observing the basic principles of surgery.
The Social Worker and Psychotropic Medication: Toward Effective Collaboration with Clients, Families, and Providers

1. The Larger Context of Psychopharmacology and Social Work. 2. Overview of Social Work Roles in Medication Management Across Settings. 3. Basic Psychopharmacology. 4. The Five Classes of Medication. 5. Intervention Concerns with Special Populations. 6. Referrals, Decision-Making, and the Meaning of Psychiatric Medication. 7. Medication Education for Clients and Families. 8. Medication Monitoring and Management. 9. Medication Adherence. 10. Future Directions in Psychopharmacology: Implications for Social Workers. Alphabetical Listing of Currently Available Prescriptions Described in This Book. Glossary.
Sero‐Discordant Couples in Five African Countries: Implications for Prevention Strategies

Most analyses of the determinants of HIV infection are performed at the individual level. The recent Demographic and Health Surveys, which include results from HIV tests, allow the study of HIV infection at the level of the cohabiting couple. This article exploits this feature of the data for Burkina Faso, Cameroon, Ghana, Kenya, and Tanzania. The analysis yields two findings about the dynamics of the HIV/AIDS epidemic that have important implications for policy. First, at least two-thirds of the infected couples are sero-discordant, that is, only one of the two partners is infected. This implies scope for prevention efforts among infected couples. Second, among 30-40 percent of the infected couples only the woman is infected. This is at odds with levels of self-reported extramarital sex by women and with the common perception that unfaithful men are the main link between high-risk groups and the general population. These findings are confirmed by tests of robustness. These results indicate that extramarital sexual activity among women in union is a substantial source of vulnerability to HIV that should be, as much as male extramarital activity, targeted by prevention efforts. Copyright 2007 The Population Council, Inc.
Addition of astragalus into peritoneal dialysate improve peritoneal macrophages function in CAPD patients

Objective: To investigate the effect of Astragalus on peritoneal macrophages function in stable continuous ambulatory peritoneal dialysis(CAPD) patients. Methods: 28 stable CAPD patients were included in this study.All the patients were treated with peritoneal dialysis fluid containing Astragalus(20 ml/2 L) in vivo for one week.Peritoneal macrophages function such as phagocytosis ratio、bactericidal ratio、excretion of cytokines(TNF-α and NO) and mitochondrial dehydrogenases activity(MTT assay) were examined ex vivo just before and after the treatment. In vitro,peritoneal macrophages isolated from effluent were incubated with RPMI 1640、CDF or CDF containing various concentrations of Astragalus. Then peritoneal macrophages function mentioned above were examined again and compared. Results:No significant difference was found in TNF-α level in effluent between before and after the treatment (100±63)ng/L vs (116±60)ng/L, (P=0.192). While comparing with pre-treatment, peritoneal macrophages function was improved significantly after the addition of Astragalus into dialysate (phagocytosis ratio: (34.8±12.7)% vs (43.4±9.3)%,P0.01; bactericidal ratio: (23.6±7.7)% vs ( 32.1±10.2)%,P0.01; NO: (7.72±2.36)μmol/L vs (12.22±2.81)μmol/L,P0.01; TNF-α: (1406±358)ng/L vs (1925±389)ng/L,P0.01; MTT: 0.156±0.051 vs 0.230± 0.097,P0.01. In vitro, there were no differences between RPMI 1640 group and CDF group in levels of TNF-α、NO and mitochondrial dehydrogenases activity (P0.05). The results in these two groups were significantly lower than those in Astragalus groups(P0.01). No significant difference was found in levels of TNF-α、NO and mitochondrial dehydrogenases activity between 1% Astragalus group and 2% Astragalus group (P0.05). While significant decreasing in NO level and mitochondrial dehydrogenases activity were observed in 8% Astragalus groups as compared with those in 2% Astragalus group(P 0.05). Conclusion:The addition of Astragalus into peritoneal dialysis fluid can improve peritoneal macrophages function in CAPD patients, enhance host defense of peritonium cavity.
PEMBELAJARAN HIDROLISIS GARAM MENGGUNAKAN MODEL INKUIRI TERBIMBING DAN PROCESS-ORIENTED GUIDED INQUIRY LEARNING (POGIL) DITINJAU DARI KEMAMPUAN ANALISIS DAN RASA INGIN TAHU

Tujuan penelitian ini adalah untuk mengetahui pengaruh model Inkuiri Terbimbing dan POGIL, kemampuan analisis, rasa ingin tahu, dan interaksinya terhadap prestasi belajar siswa. Penelitian ini menggunakan metode eksperimen, dilakukan di SMA Batik 1 Surakarta Tahun Ajaran 2013/2014. Sampel diperoleh dengan teknik cluster random sampling dan diperoleh kelas XI IPA 3 dengan model inkuiri terbimbing dan XI IPA 4 dengan model POGIL. Uji hipotesis menggunakan analisis non parametrik Kruskal Wallis. Dari hasil analisis data disimpulkan: 1) ada pengaruh penggunaan model inkuiri terbimbing dan POGIL terhadap prestasi belajar kognitif, afektif, dan psikomotor, 2) tidak ada pengaruh kemampuan analisis terhadap prestasi belajar kognitif, afektif, dan psikomotor, 3) tidak ada pengaruh rasa ingin tahu siswa terhadap prestasi belajar kognitif dan psikomotor, namun terdapat pengaruh pada prestasi belajar afektif, 4) ada interaksi penggunaan model inkuiri terbimbing dan POGIL dengan kemampuan analisis terhadap prestasi belajar kognitif dan afektif, namun tidak ada interaksi terhadap prestasi belajar psikomotor, 5) ada interaksi penggunaan model inkuiri terbimbing dan POGIL dengan rasa ingin tahu terhadap prestasi belajar kognitif dan afektif, namun tidak ada interaksi terhadap prestasi belajar psikomotor, 6) tidak ada interaksi kemampuan analisis dengan rasa ingin tahu terhadap prestasi belajar kognitif dan psikomotor, namun ada interaksi terhadap prestasi belajar afektif, 7) ada interaksi penggunaan model inkuiri terbimbing dan POGIL, kemampuan analisis dan rasa ingin tahu terhadap prestasi belajar kognitif dan afektif, namun tidak ada interaksi terhadap prestasi belajar psikomotor.
Are we there yet? Media content and sense of presence in non-fiction virtual reality

ABSTRACT Sense of presence is a central but widely contested concept in virtual reality (VR) and has been the subject of significant debate, discussion and research. Key factors considered to influence sense of presence are: media form, media content and user characteristics but as yet, relatively little consideration has been given to how these apply to the emerging field of non-fiction VR. Non-fiction VR can be distinguished from other forms of VR by trying to engage audiences with real-world stories, where sense of presence is intended to offer audiences opportunities for empathic engagement and social transformation. This paper offers a framework to analyse how four media content dimensions (immersion, positionality of the user, interactivity and narrative agency) influence sense of presence in non-fiction VR projects. With the intention of offering deeper insights on how sense of presence relates to the purposes of non-fiction narrative, it unpacks each media content variable and illustrates how these can be applied critically in relation to two notable non-fiction VR works, Gone Gitmo [2007. Directed by Nonny de la Peña and Peggy Weil] and 6×9: A Virtual Experience of Solitary Confinement [2016. Directed by Francesca Panetta and Lindsay Poulton. The Guardian].
An OTA-C filter for ECG acquisition systems with highly linear range and less pass-band attenuation

A fifth order operational transconductance amplifier-C（OTA-C） Butterworth type low-pass filter with highly linear range and less passband attenuation is presented for wearable bio-telemetry monitoring applications in a UWB wireless body area network.The source degeneration structure applied in typical small transconductance circuit is improved to provide a highly linear range for the OTA-C filter.Moreover,to reduce the passband attenuation of the filter,a cascode structure is employed as the output stage of the OTA.The OTA-based circuit is operated in weak inversion due to strict power limitation in the biomedical chip.The filter is fabricated in a SMIC0.18-μm CMOS process.The measured results for the filter have shown a passband gain of—6.2 dB,while the-3-dB frequency is around 276 Hz.For the 0.8 VPP sinusoidal input at 100 Hz,a total harmonic distortion（THD）of-56.8 dB is obtained.An electrocardiogram signal with noise interference is fed into this chip to validate the function of the designed filter.
Research on Confidentiality about Provenance Based on Logical Key Hierarchy

By analysing the security needs and the threat model of data provenance, a Key distribution algorithm based on Logical Key Hierarchy(LKH) is brought forward aiming at the confidentiality of provenance. In this paper, we make use of the LKH tree to reduce the storage of the keys for session encryption keys(SEK) of provenance records and decrease the transmission overhead of the provenance chains, which meet the requirement of compressing provenance chains, and then propose the method of dynamic expansion number of auditors that works out the problem of the auditors number dynamic changes existing in the safety requirements for confidentiality of provenance records.