Reviewerly/exHarmony huggingface dataset:
Visual-verbal paired associate memory in mild cognitive impairment: A neuropsychological and brain volumetric study

1.To assess visual and verbal paired associative learning; famous faces recognition ability among subjects with stable amnestic mild cognitive impairment (MCI) relative to early stage dementia due to Alzheimerʼs Disease (AD) and cognitively normal controls (NC)2.To correlate these differences with volumetric differences on MRI. Hospital-based cross sectional observational study was conducted on 61 participants. Subjects underwent neuropsychological evaluation, including validated newly-designed tests for novel face name paired association learning-recall; verbal paired associate learning and famous faces recognition. MRI volumetry was done on a subset of patients. There were significant differences in free recall scores for face-name paired associate learning in MCI (N = 22) compared to NC (N = 20) (p < 0.001) and to AD (N = 19) (p < 0.001). Performance in Verbal paired associate learning (WMS-paired associate scores) was significantly lower in MCI when compared to NC (p = 0.040) and higher compared to AD (p = 0.002) as were scores in famous personalities test between MCI and NC (p = 0.007), MCI and AD (p = 0.032). The free recall component of face-name pair associative learning significantly correlated with left cuneus (p=0.005; r=0.833) and right cuneus (p = 0.003; r = 0.861) volume in AD with no significant correlation among MCI and NC cohorts. The verbal paired associate learning scores had a positive correlation with right cuneus volume (p = 0.002; r = 0.871) in AD cohort only. Novel and semantically-familiar face-name associative recall; verbal paired associate learning are significantly impaired in MCI and these potentially pre-date the MRI-volumetric changes in MCI. Our findings indicate the utility of associative learning-recall measures in MCI to delineate subjects at risk of longitudinal progression.
Gender Differences in Face-to-Face Deceptive Behavior

We study the role of face-to-face interaction for gender differences in deceptive behavior and perceived honesty. In the first part, we compare women's to men's deceptive behavior using data from an incentivized income reporting experiment in which lies can be detected in the course of an audit. Between the three treatments of that experiment, (i) the degree, and (ii) the impact of the face-to-face interaction vary from none (computerized baseline treatment) to a little (treatment in which face-to-face communication triggers psychological effects such as greater lying aversion) to much (treatment in which the perception by others also enters as a strategic effect determining the probability of detecting a lie). In the computerized baseline treatment men and women lie alike. Women's truthfulness increases when psychological effects of face-to-face interaction come into play. In contrast, male deceptive behavior does not change until the strategic effect of perceived honesty matters and men's truthfulness rises way beyond the level of women. To elaborate on these gender differences, in the second part, participants are asked to assess the honesty of videotaped statements from an experimental setting identical to the third treatment. We find that more men are assessed as rather dishonest. Men's dishonest perception is independent of whether they are actually truthful or not and whether they are assessed by men or women. We conclude that men anticipate their low perceived honesty in a face-to-face setting and, therefore, deceive less compared to women.
Experimental Study on Machine Learning with Approximation to Data Streams

Realtime transferring of data streams enables many data analytics and machine learning applications in the areas of e.g. massive IoT and industrial automation. Big data volume of those streams is a significant burden or overhead not only to the transportation network, but also to the corresponding application servers. Therefore, researchers and scientists focus on reducing the amount of data needed to be transferred via data compressions and approximations. However, how to do data compression and approximation is highly dependent on the corresponding applications. In this paper, we did a study on the impact of data approximation to the machine learning applications. In particular, from the experimental perspective, we show the tradeoff among the approximation error bound, compression ratio and the prediction accuracy of multiple machine learning methods. We believe that, with proper choice, data approximation can dramatically reduce the amount of data transferred with limited impact on the machine learning applications.
Effects of Multisine Signal Bandwidth on Eye Movement Dynamics

In the analysis of human motor skills, tracking tasks with multisine target signals are often performed as they allow for quantitative measurement, identification, and modeling of human control dynamics. In this paper, the same "cybernetic" approach is taken to analyze eye movement dynamics in gaze tracking tasks, where participants had to track a moving target marker across the screen) with their eyes (i.e., a eye-only task) and 2) with their dominant hand (i.e., a eye-hand task). A human-in-the-loop experiment with 10 participants was performed to measure the eye movement dynamics. These two different conditions were performed with four different bandwidths of the multisine target signal driving the movement of the visual stimulus. The results show that the measured eye movement dynamics can be identified from the data of all experiment conditions and can be accurately modeled as an underdamped mass-spring-damper system with a time delay. Furthermore, with increased target signal bandwidth the bandwidth of participants’ eye movements also increases. Future development of gaze tracking tasks into a new tool for assessment of altered gaze behavior due to neurological diseases should take the balance between saccadic and smooth pursuit eye movements into account and avoid very high (i.e., too difficult) bandwidths to warrant accurate modelling of gaze dynamics.
Route Planning for Accurate Localization Under Uncertainty

In this paper, we propose a route planning method to keep the accurate localization for unmanned aerial vehicles (UAV) which use a camera and an inertial measurement unit (IMU). The dead reckoning with the IMU and visual odometry (VO) using the camera can be used for the self-localization in an unknown and GPS-denied environment. Both techniques cause estimation errors with motion, but the VO has less error accumulation than the dead reckoning. Therefore, we developed a method of modeling the predicted routes to calculate the error variance as an objective function. In addition, this approach enables determination of the posture of a UAV equipped with a camera with a high number of degrees of freedom. The simulation results show the accuracy of the proposed method, and confirm that it has a certain error improvement effect in any environment.
How to Fix Holes in Drywall

One of the well-known disadvantages of drywall is that it is not extremely durable. If your drywall develops a hole in it, it can look quite ugly. You ...
MENULIS NARATIF DENGAN MENJARAKI-DIRI TERHADAP PENURUNAN GEJALA DEPRESI : Single Subject Case Design

This study examined the effectiveness of writing techniques using own-name as an intervention to reduce the level of depression.Two interventions applied were expressive writing and narrative self-distancing.Five participants were young adults with moderate depression involved.Two people participated in expressive writing intervention and 3 others participated in self-distancing narrative writing intervention.This study used a single case-design experimental method and quantitative content analysis.The intervention process used A-B-A design with 3 phases (preintervention, intervention, and follow-up) during 3 consecutive weeks (1 week for each phase).BDI-II used as a baseline to measure the level of participants' depression with a score between 0 -63.The results showed that the level of 3 participant's depression who wrote narratives with self-distancing continued to decrease, meanwhile 2 participants who wrote expressive writing showed inconsistent BDI-II results.Inter-rater validation used Cohen's Kappa showed a very good result (0.759 -0.844).Content analysis showed participants in the self-distancing narrative writing group were relatively less used depressive sentences rather than participants in the expressive writing group.
Retrofitting Solar Power Systems on Public Street Lightings as A Dispersed Power Plant

The target of 23% use of renewable energy sources can be reached by 2025 by utilizing more renewable energy plants. There have been several efforts conducted to achieve the goal such as developing more wind power systems and solar Photovoltaic (PV) systems. This paper offers one method as an alternative option to support the 2025 Indonesian government target by retrofitting the conventional urban Public Street Lighting (PSL) with solar PV systems and introducing them as dispersed power plants. To examine what extent the feasibility of this concept, a comprehensive study is conducted by choosing one urban PSL system installations as a pilot project. The PSL system is located in the central Banda Aceh at coordinates of 5.543 Latitude North and 95.334 Longitude West. One PSL unit requires an area of 207 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . Some indicators such as the performance ratio, electricity production and economic value are used to assess the feasibility of this concept. The findings of this study show that the retrofitted PSL can generate approximately 51.4 MWh of electricity annually under a daily average solar radiation of 4.61 kWh/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and an ambient temperature of 27.52 °C in a year. The PSL systems have a performance ratio of 80.03%. From the economic standpoint, with the electricity selling price of 85% from the Aceh Basic Generation Cost (BGC), the generated electricity cost is at 9.47 cents USD/kWh. The Internal Rate of Return (IRR) reaches 4.21%. The Payback Period (PP) is after 13.85 years of operation. The Net Present Value (NPV) for the 20 years of the optimal operation reaches 29,913.18 USD. Based on these results, it can be concluded that the retrofitted urban PSL with solar PV systems as dispersed power plant are feasible to be implemented technically, while from the economic point of view, its implementation is only feasible if it is funded by the government.
Encoder-decoder with multi-scale information fusion for semantic image segmentation

Recently, semantic segmentation which requires to recovering all detailed information of the original image has achieved significant improvement. In this work, we utilize skip-layer, multi-scale context module, and encoder-decoder structure to perform the task of semantic image segmentation. To handle the problem that objects with different scales, we adopt the multi-scale context information module with different convolution filters to capture diverse range information in the encoder network. Furthermore, we utilize the skip-layer to fuse semantic information produced by a coarse layer and appearance information generated by a fine layer to recover more precise and detailed results. In order to prove the effect of the proposed model, we explain the implementation details. Finally, our model attains the test set performance of 71.8% mIoU on the PASCAL VOC 2012 dataset.
PEMBANGUNAN MODEL VISUALISASI ILMU HADIS BERDASARKAN DOMAIN ILMU HADIS

Information delivery in the visualizing format is a visual and organized presentation. However, visualizing is not just about visual, it is even able to attract and provide high understanding to people, in particular, when searching for information in a knowledge domain. In the domain science of hadith, its progression and proliferation have started since the deputation of Prophet Muhammad SAW. The rise has formed a knowledge framework that includes systematic information presentation and access as an assurance to validate information delivered. Therefore, this study presents a new method to understand the domain science of hadith via information visualization. It discusses the development of the Visualization Model of the Domain Science of Hadith through four methodical phases that begin with information identification, followed by information acquisition and data restructuring, and finally with visualizing of the domain science of hadith. The model indicates clear understanding and depiction of the structure of the domain science of hadith and its connection to the knowledge in the domain itself, including narrators’ knowledge and linkage, citations system and hadith knowledge. Also, the model may be referred and applied by other developers in the creation of a variety of technology and application with regards to the domain science of hadith.
REPOSISI INTELIJEN NEGARA DALAM BADAN INTELIJEN NEGARA PASCA UNDANG-UNDANG NOMOR 17 TAHUN 2011 TENTANG INTELIJEN NEGARA

ABSTRACT Intelligence is essentially a matter relating to the information needed not as an objective, but as material or instruments for decision making. Intelligence can be seen as the process of gathering and processing information, information as a product, and the organization that handles it. Therefore the main intelligence activity is gathering and searching for information, evaluating information, integrating, analyzing, concluding, and estimating the dynamics of national security using scientific methods. The function of state intelligence within the framework of intelligence reform in a democratic rule of law is carried out by various government agencies or non-ministerial government institutions in accordance with their respective main tasks. In terms of repositioning the state intelligence can be highlighted in terms of the implementation of the coordination of State Intelligence, BIN has a coordinative relationship with the Regional BIN (Binda). The coordination between BIN and Binda is coordinative which is carried out every day in relation to the nine strategic components. In the case of intelligence operations, BIN did not coordinate with Binda because Binda was open so it was feared that information regarding intelligence operations was known to the public. BIN as civil intelligence should only have a coordinating function, and not have an operational function or to carry out intelligence operations. Ideally, BIN as the coordinator of the central intelligence community (Kominpus) and the Regional BIN (Binda) as the coordinator of the regional intelligence community (Kominda) must have a clear coordinating line. Keywords : Repositioning, State Intelligence, State Security.
PENERAPAN EDUCATION MANAGEMENT INFORMATION SYSTEM (EMIS) DI LEMBAGA PENDIDIKAN KEAGAMAAN DAN PONDOK PESANTREN PADA KANTOR KEMENTERIAN AGAMA KOTA MAKASSAR

This study aimed to determine the implementation of the Education Management Information System (EMIS) at the Islamic boarding schools of Makassar Ministry of Religion Affairs. This research was a qualitative research. The data collection techniques were conducted by observation, in-depth interviews, and documentation. This research consisted of 4 indicators, namely the human resources component by measuring internal factors consisting of attitude, skill, and knowledge, which the three benchmarks were sufficiently fulfilled. The human resources external factors with the first indicator of work tools had not been maximized.; the second, the  supporting work resources included adequate funds and supporting infrastructure; the third was coworkers which were sufficiently well to be implemented.The hardware resources componets were still found to be not fully supportive and adequate. The software resources components, in terms of processes and computer programs that support EMIS, were sufficiently well implemented. Data resources in the implementation of EMIS were seen from 3 sub indicators, namely the data category, the timeliness of data collection, and the rules in the data collection process where the three elements were sufficiently well conducted by the EMIS operators. Supporting factors that support the implementation of EMIS consisted of the first, the role of the leaders by coordinating activities was sufficiently well implemented. Second, understanding of the EMIS program, the operators of the institution were sufficiently understood about EMIS inhibiting factors. The financing component had not been managed properly which had resulted in the existing funds not being used optimally to support the EMIS. Whereas in terms of operator quality, it can be seen from two elements, namely training and disciplinary institutions that were not yet sufficiently supportive, so that there was a need for improvements in education and training for EMIS operators in institutions, as well as in the discipline of institutions in presenting data collection results.
Development of information notification system using galvanic vestibular stimulation

The galvanic vestibular stimulation makes the body inclined, In this paper, the authors propose a new notification tool for human employing galvanic vestibular stimulation. The authors conducted an experiment to see whether information can be reported efficiently by using this tool.
Medical Case as a Plot-Basing Element of Sybil by Flora Rheta Schreiber

The article is devoted to the consideration of the features of plot construction in American prose about dissociative identity disorder using the example of F.R. Schreiber Flora Rheta Schreiber Sibyl (Sybil, 1973). The basis of the plot of the work is the history of mental illness (medical history). Dissociative personality disorder leads to the realization by society of the end of the 20th century of a new psychological state in which a person can be. Such a state, when one consciousness can exist in several states representing different personalities, puts a person on the line between real and fantastic. The artistic interpretation of the disorder carries similar characteristics. The fantasticness of the described is contrary to the scientific component, in this confrontation, the scientific is trying to control the fictional, rationalize it, fit into the real. Psychoanalysis is becoming an indispensable attribute for describing and understanding events. The cause of the disorder is a personal childhood injury, from which a person seeks to fence himself off. Here we see the influence of Z. Freud, whose psychoanalytic practice, including hypnosis, analysis of the events of the past, analysis of dreams, is reflected both in events and in the structural organization of the novel.
Library Research Guides: M402: Podcast Project: Stage I Patron Letter: Background Information

This guide will assist Mus-M402 (Phil Ford) students with finding information needed for the Podcast project
Prediksi Tingkat Kepenuhan Penumpang Pesawat dari Bandara Hang Nadim Batam

Batam is a very strategic area located in the Indonesia Malaysia Singapore Growth Triangle region. Transportation is an important factor in the economic growth of Batam City, especially air transportation. Various types of data are collected, but only a few are analyzed so that they can generate new knowledge. This research will analyze flight data from Hang Nadim Batam airport to predict the fullness of aircraft from Batam to various destinations. The results showed that the support vector machine (SVM) model showed a higher level of accuracy than decision tree in predicting the fullness of the aircraft
Fusion of Point Clouds for Obstacle Tracking during Airport Ground Operations

During airport ground operations, one of the responsibilities of the pilots is to look out for obstructions. In large commercial aircraft, it can be challenging to observe certain regions, as the outside view from the cockpit seats can be limited. This becomes even worse in low visibility conditions and at night when objects are less noticeable. Failure to notice obstructions and to maintain an adequate distance of separation can lead to collisions. This paper addresses this issue by proposing an obstacle detection and tracking technology to assist pilots during taxi. Data, in the form of point clouds, is acquired from a stereo-vision system and a LIDAR sensor. It is then processed and analyzed in order to detect obstacles. Detected obstacles are fused and tracked with Particle Filters and Occupancy Grids. Finally, obstacle information is represented on a bird’s eye view display. Experiments were carried out with the aircraft approaching a target obstacle and the performance of the system was assessed in different illumination and visibility conditions. The results obtained show that the system can reliably detect obstacles and represent them on the proposed display.
COD Library: Adopt, Adapt, Improve: Bibliography

Adopt, Adapt, & Improve: An Instruction Librarian Development Program | April 4, 2019 | IL Summit
Examining Mobile Print-on-Demand as an Alternative to Image Licensing for Monetising Digitisation to Promote OpenGLAM

Although studies have demonstrated that OpenGLAM provides numerous benefits to participant institutions, such as the dissemination of collections and increased sponsorship opportunities (Kapsalis, 2016; Kelly, 2013), the movement’s adoption remains limited. For museums and galleries, the fear of losing image fees, poses as one of the main barriers for participation (Kapsalis, 2016), since image licensing remains the most widely adopted method for monetising digitisation, despite the fact that its profitability has repeatedly been questioned (Tanner, 2004; Grosvenor, 2018). On-demand printing provides an alternative for generating revenue from digitised collections; however, print-on-demand solutions for museums appear to have stalled in the last decade, remaining almost exclusively a privilege of the well-resourced institutions. Α radically different implementation that takes advantage of emerging technologies (i.e. image recognition and progressive web applications) to provide a mobile print-on-demand solution for all museums with digitised collections is the Infinite Museum Store (IMS). In (Valeonti et al., 2018a) we presented the technical aspects and innovation features of IMS, as well as the results of a pilot study held at the State Museum of Contemporary Art (SMCA) in Thessaloniki, Greece, which demonstrated a significant potential for generating revenue from digitisation. Based on IMS, this paper examines mobile print-on-demand as an alternative solution for monetising digitisation, also exploring ways that smaller, not as well-resourced museums, can take advantage of on-demand printing to generate revenue from their digitised collections. With museums claiming that it is a challenge . . . to keep on top of the large numbers of [image] requests” (Smith, 2009), developing alternative ways to monetise digitisation would not only allow more institutions to join OpenGLAM, but it would also contribute to improving their profitability.
Safety Assessment of Radar Software System based on Entropy Weight Method and Cloud Model

The radar software system safety assessment indicators are mostly qualitative indicators, and the coupling, randomness and ambiguity are strong. Aiming at the problem of radar software system safety assessment, this paper proposes a method based on entropy weight method and cloud model theory assessment. Firstly, the entropy weight method is used to determine the index weight, and then the cloud model theory is used to combine the index weight with the cloud model to obtain a comprehensive cloud. Finally, the comprehensive cloud is compared with the standard clouds to obtain the safety assessment results of the software system. The feasibility and scientificity of the method are proved by comparison with other assessment methods.