Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS PENERIMAAN PENGGUNAAN OTOMASI PERPUSTAKAAN UNNES BERDASARKAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM)

Otomasi Perpustakaan merupakan sistem informasi perpustakaan berbasis web di Universitas Negeri Semarang. Penelitian ini bertujuan untuk mengetahui pengaruh dan menganalisis faktor-faktor yang mempengaruhi penerimaan penggunaan Otomasi Perpustakaan. Pendekatan yang digunakan adalah Technology Acceotance Model (TAM). Populasi dalam penelitian ini adalah mahasiswa pendidikan akuntansi di Universitas Negeri Semarang. Jumlah sampel sebanyak 127 responden. Teknik pengambilan sampel menggunakan non probablity sampling dengan sampling kuota. Metode pengumpulan data menggunakan kuesiioner. Data dianalisis menggunakan teknik path analysis. Hasil penelitian menunjukkan bahwa ada pengaruh positif dan signifikan manfaat (PU) terhadap penerimaan (ACC) sebesar 24,5%, kemudahan (PEOU) terhadap ACC sebesar 24,8%, ATU terhadap ACC sebesar 40,7%, PU terhadap ATU sebesar 25,1%, PEOU terhadap ATU sebesar 24,5%, PU melalui ATU terhadap ACC sebesar 10,2% dan PEOU melalui ATU terhadap ACC sebesar 10%. Berdasarkan penelitian, dapat disimpulkan bahwa terdapat pengaruh perceived usefulness dan perceived ease of use terhadap acceptance baik secara langsung maupun tidak langsung dan pengarung langsung attitude terhadap acceptance. Disarankan kepada pengelola website Otomasi Perpustakaan agar dapat meningkatkan fungsi dari web sehingga pengguna dapat merasakan manfaat dan kemudahan web. Disarankan juga kepada peneliti selanjutnya untuk meneliti dengan objek yang berbeda, serta menambahkan variabel eksternal yang sesuai dengan penelitiannya. Library Automation is a web-based library information systems at the State University of Semarang. This study aims to determine the effect and analyze the factors that affect the acceptance of the use of Library Automation. The population in this research were students of accounting education at State University of Semarang. The total sample of 127 respondents. The sampling technique used is non-probability sampling with quota sampling. Methods of data collection using the questionnaire. Data analyzed using path analysis. The result of this research showed that there was a positive and significant impact of usefulness (PU) on the acceptance (ACC) by 24.5%. Ease of use (PEOU) to the ACC by 24.8%. Attitude (ATU) to the ACC by 40.7%. PU to the ATU by 25.1%, PEOU to the ATU by 24.5%, PU through the ATU to the ACC by 10.2% and PEOU trough the ATU to the ACC by 10%. Based on the result, it can be concluded that there are significant effect of perceived usefulness and perceived ease of use of the acceptance, either directly or indirectly. Suggested to the manager of the website of Library Automation in order to improve the functionally of the web so that users can experience the benefits and convenience of the web. It is also suggested to the researchers further examined with different objects, as well as add a additional variables corresponding to research.
Cross-Field Aerial Haptics: Rendering Haptic Feedback in Air with Light and Acoustic Fields

We present a new method of rendering aerial haptic images that uses femtosecond-laser light fields and ultrasonic acoustic fields. In conventional research, a single physical quantity has been used to render aerial haptic images. In contrast, our method combines multiple fields (light and acoustic fields) at the same time. While these fields have no direct interference, combining them provides benefits such as multi-resolution haptic images and a synergistic effect on haptic perception. We conducted user studies with laser haptics and ultrasonic haptics separately and tested their superposition. The results showed that the acoustic field affects the tactile perception of the laser haptics. We explored augmented reality/virtual reality (AR/VR) applications such as providing haptic feedback of the combination of these two methods. We believe that the results of this study contribute to the exploration of laser haptic displays and expand the expression of aerial haptic displays based on other principles.
Control-Oriented Modeling of A Lithium-Ion Battery for Fast Charging

Abstract The fast charge battery control problem is characterized by the need to have a sufficiently detailed model that can capture both the charging process and the inevitable constraints that limit the rate of charging due to battery state of health requirements. Presently, it appears the minimal modeling requirements to address the charging problem in model based fashion are unknown. This work seeks to develop a modeling methodology covering a large range of applications through systematically simplifying the partial differential equations that describe battery dynamics. The effects of grid resolution and polynomial order on the complexity and accuracy of reduced order models have been investigated to provide insight into the minimum modeling requirements at different charge rates. The proposed models are intended for controller design and optimization applications including fast charge control.
The longitudinal development of emotion regulation capacities in children at risk for externalizing disorders

Abstract The development of emotional regulation capacities in children at high versus low risk for externalizing disorder was examined in a longitudinal study investigating: (a) whether disturbances in emotion regulation precede and predict the emergence of externalizing symptoms and (b) whether sensitive maternal behavior is a significant influence on the development of child emotion regulation. Families experiencing high (n = 58) and low (n = 63) levels of psychosocial adversity were recruited to the study during pregnancy. Direct observational assessments of child emotion regulation capacities and maternal sensitivity were completed in early infancy, at 12 and 18 months, and at 5 years. Key findings were as follows. First, high-risk children showed poorer emotion regulation capacities than their low-risk counterparts at every stage of assessment. Second, from 12 months onward, emotion regulation capacities showed a degree of stability and were associated with behavioral problems, both concurrently and prospectively. Third, maternal sensitivity was related to child emotion regulation capacities throughout development, with poorer emotion regulation in the high-risk group being associated with lower maternal sensitivity. The results are consistent with a causal role for problems in the regulation of negative emotions in the etiology of externalizing psychopathology and highlight insensitive parenting as a potentially key developmental influence.
An applicable test data generation algorithm for domain errors

An integrated testing criterion is proposed that extends traditional criteria to be effective to reveal domain errors. The method requires many fewer test cases and is applicable for any kind of predicates. An automated test data generation algorithm is developed to satisfy the criterion. This is the first integrated algorithm that unites path selection and test data generation. The method is based on function minimization and is extended to find required test cases corresponding to ON-OFF points very quickly. In this way the algorithm is dynamic and thus can be used in practice.
Learning a temporal code

The paper proposes a concrete information encoding for networks of spiking neurons. A temporal code is presented in which neurons respond to simultaneous spike releases of a particular group of neurons. The paper puts a spike-based learning rule in the context of that coding and shows how a network adapts to events experienced while observing an environment. Furthermore, correlations between events distant in time can be learnt. To demonstrate this, a net is simulated, the neurons of which become selective to moving bar stimuli after repeated presentations of samples.
Improving the MVA Vaccine Potential by Deleting the Viral Gene Coding for the IL-18 Binding Protein

Background Modified Vaccinia Ankara (MVA) is an attenuated strain of Vaccinia virus (VACV) currently employed in many clinical trials against HIV/AIDS and other diseases. MVA still retains genes involved in host immune response evasion, enabling its optimization by removing some of them. The aim of this study was to evaluate cellular immune responses (CIR) induced by an IL-18 binding protein gene (C12L) deleted vector (MVAΔC12L). Methodology/Principal Findings BALB/c and C57BL/6 mice were immunized with different doses of MVAΔC12L or MVA wild type (MVAwt), then CIR to VACV epitopes in immunogenic proteins were evaluated in spleen and draining lymph nodes at acute and memory phases (7 and 40 days post-immunization respectively). Compared with parental MVAwt, MVAΔC12L immunization induced a significant increase of two to three-fold in CD8+ and CD4+ T-cell responses to different VACV epitopes, with increased percentage of anti-VACV cytotoxic CD8+ T-cells (CD107a/b+) during the acute phase of the response. Importantly, the immunogenicity enhancement was also observed after MVAΔC12L inoculation with different viral doses and by distinct routes (systemic and mucosal). Potentiation of MVA's CIR was also observed during the memory phase, in correlation with a higher protection against an intranasal challenge with VACV WR. Of note, we could also show a significant increase in the CIR against HIV antigens such as Env, Gag, Pol and Nef from different subtypes expressed from two recombinants of MVAΔC12L during heterologous DNA prime/MVA boost vaccination regimens. Conclusions/Significance This study demonstrates the relevance of IL-18 bp contribution in the immune response evasion during MVA infection. Our findings clearly show that the deletion of the viral IL-18 bp gene is an effective approach to increase MVA vaccine efficacy, as immunogenicity improvements were observed against vector antigens and more importantly to HIV antigens.
Characteristic classes associated to Q-bundles

A Q-manifold is a graded manifold endowed with a vector field of degree 1 squaring to zero. We consider the notion of a Q-bundle, that is, a fiber bundle in the category of Q-manifolds. To each homotopy class of "gauge fields" (sections in the category of graded manifolds) and each cohomology class of a certain subcomplex of forms on the fiber we associate a cohomology class on the base. As any principal bundle yields canonically a Q-bundle, this construction generalizes Chern–Weil classes. Novel examples include cohomology classes that are locally de Rham differential of the integrands of topological sigma models obtained by the AKSZ-formalism in arbitrary dimensions. For Hamiltonian Poisson fibrations one obtains a characteristic 3-class in this manner. We also relate the framework to equivariant cohomology and Lecomte's characteristic classes of exact sequences of Lie algebras.
Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 967 on Pathophysiological Mechanisms in Amyothrophic Lateral Sclerosis

Amyotrophic lateral sclerosis is a fatal, progressive neurodegenerative disease with unknown ethiology. The aim of this study was to increase understanding of the pathophysiological mechanisms of dying motor neurons and wasting muscle tissue in this particular disorder. Quantitative receptor autoradiographic methodology was applied on cervical spinal cord sections from patients with ALS to evaluate the specific binding of the acetylcholine transporter 3 H-vesamicol in motor neurons. Despite a significant reduction of the number of ventral motor neurons in ALS, the 3 H-vesamicol binding was not reduced in ALS compared to control cases, which suggests an increased metabolic activity in remaining motor neurons. Motor neurons dying in ALS might go through apoptosis (programmed cell death), so immunohistochemical and TUNEL techniques were applied on thoracic spinal cord from ALS patients to evaluate the possibility of an apoptotic process. The increased Bax expression indicates an apoptotic process and further, motor neurons were TUNEL-positive, indicating DNA degradation caused by programmed cell death. Muscle biopsies were obtained from ALS patients, and mRNA levels for the neurotrophic factors GDNF and BDNF were measured and compared to control subjects. GDNF levels were increased in muscle tissue in ALS whereas BDNF levels were unaltered. Levels of GDNF and BDNF were also measured in cerebrospinal fluid from ALS patients and controls using ELISA methodology. Levels of BDNF were unaltered in ALS compared to controls. GDNF however was not detectable in controls whereas 12 out of 15 ALS patients had measurable levels of GDNF. A marked upregulation of endogenous GDNF and GDNF mRNA in ALS CSF and muscle respectively is of special interest in relation to clinical trials where GDNF is administered to this group of patients. To my mother and to my father I love the change of seasons the smell of an autumn day in October when one can already feel winter is coming ro This thesis is based on the following articles, which are referred to in the text by their roman numerals: Upregulation of Bax protein and increased DNA degradation in ALS spinal cord motor neurons. Increased expression of glial cell line-derived neurotrophic factor mRNA in muscle biopsies from patients with amyotrophic lateral sclerosis. GDNF but not BDNF is increased in cerebrospinal fluid in amyotrophic lateral sclerosis. Reprints were made with permission from the publishers ABBREVIATIONS Ab antibody ACh acetylcholine ALS amyotrophic lateral sclerosis Bax Bcl-2-associated X protein Bcl-2 B-cell lymphoma /leukemia-2 BDNF brain-derived neurotrophic factor …
The Eternal fractal in the universe

Models of eternal inflation predict a stochastic self-similar geometry of the universe at very large scales and allow existence of points that never thermalize. I explore the fractal geometry of the resulting spacetime, using coordinate-independent quantities. The formalism of stochastic inflation can be used to obtain the fractal dimension of the set of eternally inflating points (the ``eternal fractal''). I also derive a nonlinear branching diffusion equation describing global properties of the eternal set and the probability to realize eternal inflation. I show gauge invariance of the condition for presence of eternal inflation. Finally, I consider the question of whether all thermalized regions merge into one connected domain. Fractal dimension of the eternal set provides a (weak) sufficient condition for merging.
Rapid Assessment of Mineral Concentration in Meadow Grasses by Near Infrared Reflectance Spectroscopy

A near infrared reflectance spectroscopy (NIRS) method for rapid determination of nitrogen, phosphorous and potassium in diverse meadow grasses was developed with a view towards utilizing this material for biogas production and organic fertilizer. NIRS spectra between 12,000 cm−1 and 4,000 cm−1 were used. When validated on samples from different years to those used for the calibration set, the NIRS prediction of nitrogen was considered moderately useful with R2 = 0.77, ratio of standard error of prediction to reference data range (RER) of 9.32 and ratio of standard error of prediction to standard deviation of reference data (RPD) of 2.33. Prediction of potassium was less accurate, with R2 = 0.77, RER of 6.56 and RPD of 1.45, whilst prediction of phosphorous was not considered accurate enough to be of any practical use. This work is of interest from the point of view of both the removal of excess nutrients from formerly intensively farmed areas and also for assessing the plant biomass suitability for conversion into carbon neutral energy through biogas production.
Using Structural Information to Detect Speech Repairs

Previous approaches to detecting and correcting speech repairs have for the most part separated these two problems. In this paper, we present a statistical model of speech repairs that uses information about the postulated repair structure (correction) to help decide whether a speech repair actually occurred. By better modeling the interactions between detection and correction , we are able to improve our detection results.
Low energy charged particles in the high latitude heliosphere: Comparing solar maximum and solar minimum

Low energy charged particles in the global (3‐D) heliosphere within ∼2.3 AU of the Sun are compared during the two fast latitude scans by the Ulysses spacecraft at solar minimum and maximum. This comparison of data taken by the HISCALE instrument illustrates quantitatively the differences in the population of the heliosphere during the only two solar cycles for which 3‐dimensional information are available. At solar minimum the largest intensities of particles are found in and near the heliospheric current sheet, whereas at solar maximum the entire 3‐D volume is filled. An example is presented of solar‐produced charged particles (electrons and heavy ions measured when Ulysses was at its highest heliolatitude) that provide evidence of a heliosphere ‘reservoir’ with a volume as much as 50 AU3; this reservoir subsequently decays with an e‐folding time of the order of 3 days. Anomalous He, O, and Ne ions are clearly measured at high heliolatitudes at solar minimum, whereas during solar maximum their fluxes, if present, are completely swamped at these energies by the higher intensities of solar particles.
Fast Buffered Delay Estimation Considering Process Variations

Advanced process technologies impose more significant challenges especially when manufactured circuits exhibit substantial process variations. Consideration of process variations becomes critical to ensure high parametric timing yield. During the design stage, fast estimation of the achievable buffered delay can navigate more accurate and efficient wire planning and timing analysis in floorplanning or global routing. In this paper, we derive approximated first-order canonical forms for buffered delay estimation which considers the effect of process variations and the presence of buffer blockages. We empirically show that an existing deterministic delay estimation method is over-pessimistic and thus result in unnecessary design rollback. The experimental results also show that our method can estimate buffered delay with 4% average error but achieve up to 149 times speedup when compared to a state-of-the-art statistical buffer insertion method.
The Neural Origins and Applications of Human Error Processing

The human brain has developed complex neural and cognitive mechanisms that deal with errors. Error awareness and processing is mediated by the supervisory cognitive control system. This system is concerned with the effortful activation and allocation of cognitive resources in the selection and processing of task-relevant information for the purposes of maximizing performance on tasks involving high difficulty, complexity, response conflict, or novelty [1]. Two components of control are distinguished: the regulative control is responsible for activation and implementation of control related processes; whereas the evaluative control deals with monitoring for the presence of errors and/or response conflicts and if needed with taking compensatory actions. Evaluative control is associated with the anterior cingulate cortex (ACC), which is also responsible for regulating emotional responses, while the regulative control is associated with various sites in the prefrontal cortex (PFC).
Deﬁning and exploring properties in diagnostic systems

Every model-based diagnostic approach relies on a representation of a real-world system, in this paper called believed system. The believed system is used along with the observations about the real-world system to generate a diagnostic problem to be solved. In this paper it is ﬁrstly argued that believed systems can differ from real-world systems in many different manners. As so, properties of believed systems, diagnostic problems and diagnostic results are introduced. Then, a series of relations between these properties are proved. The importance of such relations, sometimes seen as intuitive, is that they are necessary to formally prove the accordance between the real-world sys-tem and the believed system; to formally prove that a believed system and a diagnostic problem will produce high-quality diagnostic results; or even to ease diagnostic algorithms, since for systems and problems with certain properties, different model-based diagnostic approaches produce the same diagnostic results. In order to introduce the referred properties and reasoning about them a framework of diagnosis based on the difference between the believed and the real systems is proposed.
Corticospinal excitability modulation to hand muscles during movement imagery.

Motor evoked potentials (MEPs) to magnetic transcranial stimulation (TCS) were recorded from right abductor digiti minimi (ADM) and first dorsal interosseous (FDI) muscles, sharing the same peripheral innervation but engaged in two different motor demands. In seven healthy and trained subjects, the latencies, amplitudes and variability of MEPs were investigated under the following, randomly intermingled, conditions: full muscular and mental relaxation; mental simulation of selective index finger or little finger abduction; mental non-motor activity (arithmetical calculation); and real motor task (little and index finger abduction). The whole procedure was performed by continuous audiovisual monitoring of electromyographic 'silence' in the tested muscles. The maximal facilitatory effects (= latency shortening and amplitude increase) on MEPs were induced by the real motor task. An amplitude potentiation of MEPs in both tested muscles was present during non-motor mental activity, in comparison to basal values. A further amplitude potentiation, without latency shifts, was confined to the muscle acting as 'prime mover' for the mentally simulated movement, according to the motor program dispatched but not executed by the subject. Similar results were also found in the F-wave, showing that mental simulation affects spinal motoneuronal excitability as well, although -- due to the lack of MEP and F-wave latency shift -- the main effect takes place at cortical level. The study shows that movement imagery can focus specific facilitation on the prime-mover muscle for the mentally simulated movement. This is mainly evident on FDI muscle, which controls fingers (i.e. the index) with highly corticalized motor representation.
A Novel Image Registration Algorithm in Aerial Infrared Videos

This paper focuses on image registration between sequential frames in aerial infrared video. To address this problem, we propose an efficient approach based on an improved Smallest Univalue Segment Assimilating Nucleus (SUSAN) corner detector and a novel corner rejection strategy. Firstly, the SUSAN corners are detected via the concatenation of enlarging the radius of original detector and down-sampling. Then, the corner rejection strategy is applied to remove the corners on moving objects. After that, Histograms of Oriented Gradients (HOG) is used to form the descriptor of each corner, followed by a feature matching phase to obtain correspondences of corners. Finally, RANdom Sample Consensus (RANSAC) is performed to estimate the parameters of the transformation model with the correspondences. Experimental results show that our approach is fast and stable for image registration in aerial infrared videos.