Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Dry Pressure Heat Curing Technique on Water Sorption and Color of Heat Cured Acrylic Resin

Aims: The purpose of this study was to evaluate the effect of dry pressure curing technique after immersion in distilled water for 1 ,4 and 12 weeks on the water sorption, solubility, and color change of heat cured acrylic resin as compared with conventional curing technique, also to evaluate the effect of immersion period on these properties. Materials and methods: Sixty specimens of vertex regular heat cured acrylic resin denture base material were used in this study, curing by two different technique, conventional curing technique and dry pressure curing technique, then immersed in distilled water for 1,4, and 12 week . The water sorption and solubility test were measured by means of mass change in the materials after water saturation and dehydration. While the color change test was measured by the samples converted to digital images on computer by using digital scanner, then the digital images were prepared with dimension 760 pixels*960 pixels for each samples by software program Adob Photoshop 9.0, by MATLAB 2010 program the image was analyzed to the basic primary colors RGB, then converted to (CIE L*a*b*) system by Photoshop 9.0 program, the CIE L*a*b* color difference metric were used to perform color change test. Mean values were compared statistically with T-test, one way analysis of variance and by Duncan's multiple range test to determined the significant different among the groups at p<0.05 level of significance. Results: In comparisons between curing techniques, that there was significant difference at p≤ 0.05 in water sorption and solubility, while in color change that there was no significant difference at P> 0.05 in different times immersion (1,4,and 12 weeks). In comparisons between immersion time that there was significant difference at p≤ 0.05 in water sorption, solubility, and color change test for both curing techniques. Conclusion: The dry pressure curing technique has an effect on the water sorption and solubility ratios but no effect on color change of heat cured acrylic resin, while the immersion period have an effect on the water sorption, solubility,
Gulf of Alaska Cyclone in Daytime
Microphysics RGB Imagery

The NASA Short-term Prediction Research and Transition (SPoRT) Center has provided National Weather Service (NWS) Alaska Region forecasters with the experimental Daytime Microphysics (DtMicro) red-green-blue (RGB) product to support forecasting aviation hazards (Berndt et al. 2017), which has become an integral tool in the forecast process. On 11 March 2018, a rapidly deepening cyclone entered the Gulf of Alaska and developed gale-force winds and relatively strong convection for late winter, while lowlevel clouds and fog remained in its wake. The multispectral DtMicro RGB (Rosenfeld and Lensky 1998; EUMETSAT User Service Division 2009) provided an efficient product to analyze cloud properties and surface features with improved efficiency compared to single-channel visible or infrared imagery. The DtMicro RGB and 0.64 µm visible images (Fig. 1) show a mature, occluded cyclone over the Gulf of Alaska at 2030 UTC (1230 LST). The DtMicro RGB combines visible and infrared channels related to cloud brightness, particle size, and temperature in order to analyze convective clouds and other cloud and surface features (Table 1; Lensky and Rosenfeld 2008). A limb correction and intercalibration was applied to infrared channels using the technique outlined in Elmer et al. (2016). These adjustments allow for greater consistency across the imager swath and consistency between numerous polar-orbiting satellites. The RGB clearly delineates the back-bent occlusion (dark orange to red), and dry air wrapping into the system, allowing a view of the low to mid-level clouds in the center of the image. Bright orange/yellow combinations over the Alaska panhandle and northwestern Canada are mountain-wave cirrus clouds composed of small ice particles. The magenta cloud features within the dry slot are deeper convective cells, and cyan to yellowgreen cloud features are low-level water clouds. Near Illiamna, the tan to dull green coloring indicates very low stratus and fog, which is not distinguishable from snow cover in the visible imagery.
LASER REPAIR WELDING OF MOLDS WITH VARIOUS PULSE SHAPES

Repair welding of damaged and worn-out tools is a measure which can increase productivity and lower production costs to a great extent. Such example of tools are also injection moulds that frequently require repairs, including welding, due to errors during manufacture, changes in the design of the tool part and/or incidence of failures during the service life. The majority of tool steels is commonly considered as non-weldable, because of their high carbon and high alloy elements content 1 . Repair welding of tools is generally performed with gas tungsten arc welding (GTAW). Such repair of the tool is carried out with preheating and post-weld heat treatment, to avoid solidification cracking and residual stresses induced by transformations during welding 2, 3 . The most critical is the heat affected zone (HAZ), which can be very hard and brittle and susceptible to cracking if the tools are not heat treated properly. However, many items are successfully repaired in the hardened and tempered condition 4 . When this can be done safely, it avoids the need for annealing before the repair, hardening and tempering afterwards, and the possible costly correction of dimensional changes caused by heat treatment. For such sensitive tools, the laser technology has recently been used, where localized heating effect reduces distortions during welding and allows the repair without any heat treatment. The other benefits of laser welding are also narrow HAZ, negligible undercuts, the precise positioning and control of the spot of incidence and its movement. This is especially important by repairing narrow or sharp areas and areas close to high polished surfaces, where conventional welding would cause undesired results regarding the amount of mechanical treatment and possible deformations. Pulsed laser repair welding is receiving a great attention in the academic and industrial research. Evolution of microstructures in tools after welding was demonstrated in research work by Vedani, who compared microstructures in claddings on several tool steels, processed with laser and GTAW 4 . Some other authors demonstrated suitability of laser beam welding process for refurbishment and cladding in the field of tooling 5, 6 . Several authors also published some papers related to optimization of pulsed laser welding processes, especially regarding pulse shapes and their effect on micro-
A Memristor-Based In-Memory Computing Network for Hamming Code Error Correction

Hamming code is a linear error-correcting code widely used in memory and telecommunication. For the first time, here we put forth an approach to analyzing Hamming codes in hardware using networks consisting of memristors. Such networks are capable of detecting and correcting potential bit errors in Hamming codes in a high-speed and energy-efficient way, where the parity-check matrix is stored in the memristor crossbar array and the syndrome vector is represented by the states of the output unipolar memristors whose resistance flipping naturally implements vector-matrix multiplication with modulo 2. Our experimental results demonstrate that the output syndrome vector is able to correctly represent the position of the bit error whenever it exists, and subsequent correction can thus be applied by flipping the bit identified. The energy consumption using the present network has decreased by >100 times compared with GPU while >1000 times compared with CPU.
The Text as a Manual. Some Reflections on the Concept of Language from a Neuroaesthetic Perspective

I would like to summarize the debate so far: Kilian Koepsell and Carlos Spoerhase discuss the problem of knowledge transfer from one discipline to another and the legitimacy of knowledge transfer into literary studies in their position paper ›Cognitive Science and the Study of Literature. Some Thoughts on the Possibility of Transferring Knowledge‹. They admit that, in principle, cognitive processes play a central role, for example, in the reading process. However, the knowledge borrowed from the cognitive sciences should also be of use to literary theory, which means it should »yield results that would not have been readily obtainable there without the transferred knowledge. In this case, the legitimacy of a knowledge transfer would depend on whether it leads to innovation in the receiving discipline« (Koepsell/Spoerhase, 372). They refer to Gerhard Lauer’s essay ›Spiegelneuronen: ber den Grund des Wohlgefallens an der Nachahmung‹ [Mirror Neurons: Why We Like to Imitate] (2007). The essay attempts to show how the theory of mirror neuron systems can be fruitful for literary studies. Koepsell and Spoerhase’s first objection against Lauer’s essay refers to the explicative achievements of researching mirror neurons, their second objection to the explicative scope of Lauer’s suggestion to ground literary studies in the human sciences. Because mirror neurons fire when we perform an action, as well as when we see or hear an action, they are the foundation of all our comprehension and imitation processes. According to Lauer, literature also takes part in these processes because it is »food for our imitation instinct« (»Nahrung f r unseren Nachahmungsinstinkt«) (Lauer 2007, 152). Kilian Koepsell and Carlos Spoerhase correctly observe that it is not clear yet why the neurons fire. We cannot draw any conclusions about their causes or their mechanisms. Studies on mirror neurons could therefore not explain how empathy is conveyed in literary texts; at the most, they are consistent with theories of empathy or imitation, respectively. Koepsell and Spoerhase thus also dispute LauACHTUNGTRENNUNGer’s provocative claim that a »theory of interpretation [. ] [has to] presuppose findings from developmental psychology, evolutionary psychology, and cognitive sci-
On statistical disclosure control technologies

To enhance the transparency, accountability and efficiency of the Dutch Ministry of Justice and Security, the ministry has set up an open data program to proactively stimulate sharing its (public-funded) data sets with the public or with other organi-sations. Disclosure of personal data is considered as one of the main threats for data opening. This study, as one activity within the open data program, aims at investigating Statistical Disclosure Control (SDC) tools and methods for protecting personal data. More specifically, the main objective of the study is to provide in-sights in the main functionalities provided by SDC technologies so that data control-lers can be supported in their decision-making processes related to storing, sharing, and opening the ministry’s personal data. To this end, the study context is tuned to the ministry’s settings and requirements. This deliverable presents the acquired insights, particularly for three selected open source SDC tools (namely: μ-ARGUS, ARX and sdcMicro).
Prediksi Penjualan Mi Menggunakan Metode Extreme Learning Machine (ELM) Di Kober Mie Setan Cabang Soekarno Hatta

Kober Mie Setan cabang Soekarno Hatta merupakan sebuah perusahaan yang bergerak pada bidang makanan. Jumlah permintaan konsumen restoran Kober Mie Setan cabang Soekarno Hatta yang tak menentu setiap waktu berpengaruh terhadap sisa bahan baku yang ada. Bahan baku yang terlalu lama disimpan tidak baik untuk dikonsumsi. Ketika permintaan rendah dan bahan baku yang disediakan tinggi, maka sisa bahan baku dari penjualan hari itu akan dibuang. Agar bahan baku tidak terbuang sia-sia, maka prediksi penjualan diperlukan oleh Kober Mie Setan cabang Soekarno Hatta. Dengan prediksi penjualan tersebut restoran dapat memprioritaskan pembelanjaan bahan baku menu tertentu yang memiliki keminatan tinggi sehingga sisa bahan baku dapat berkurang. Penelitian ini diterapkan metode dari Jaringan Syaraf Tiruan (JST) yaitu Extreme Learning Machine (ELM) untuk memprediksi penjualan mi di restoran Kober Mie Setan cabang Soekarno Hatta. Proses prediksi penjualan mi di Kober Mie Setan yaitu normalisasi data, proses training, proses testing, denormalisasi data, dan perhitungan nilai error menggunakan Mean Square Error (MSE). Metode ELM memiliki kelebihan dalam learning speed dan tingkat error yang kecil. Berdasarkan pengujian yang dilakukan untuk mengetahui perbedaan penggunaan fitur data dalam penelitian ini menghasilkan tingkat error terkecil yaitu 0.0171 dengan menggunakan fitur data historis dan fitur data sisa penjualan.
Recommendation for Key Management: Part 2 Best Practices for Key Management Organizations

NIST Special Publication (SP) 800-57 provides cryptographic key management guidance. It consists of three parts. Part 1 provides general guidance and best practices for the management of cryptographic keying material. Part 2 provides guidance on policy and security planning requirements. Finally, Part 3 provides guidance when using the cryptographic features of current systems. Part 2 (this document) 1) identifies the concepts, functions and elements common to effective systems for the management of symmetric and asymmetric keys; 2) identifies the security planning requirements and documentation necessary for effective institutional key management; 3) describes Key Management Specification requirements; 4) describes cryptographic Key Management Policy documentation that is needed by organizations that use cryptography; and 5) describes Key Management Practice Statement requirements. Appendices provide examples of some key management infrastructures and supplemental documentation and planning materials.
Experimental Approaches in Theoretical Phonology

This chapter provides an overview of how experiments have informed phonological theories, and vice versa. This chapter starts with some historical overview; when phonology was being established as its own area of research, there was a sharp division between phonetics and phonology. This division was called into question, and the issues on the phonetics-phonology interface are currently extensively pursued by an approach that is now known as laboratory phonology. After the historical overview, I discuss in some detail how phonetic experiments and phonological theories have informed each other.
A dynamical systems framework to uncover the drivers of large-scale cortical activity

A fundamental challenge in neuroscience is to uncover the principles governing complex interactions between the brain and its external environment. Over the past few decades, the development of functional neuroimaging techniques and tools from graph theory, network science, and computational neuroscience have markedly expanded opportunities to study the intrinsic organization of brain activity. However, many current computational models are fundamentally limited by little to no explicit assessment of the brain’s interactions with external stimuli. To address this limitation, we propose a simple scheme that jointly estimates the intrinsic organization of brain activity and extrinsic stimuli. Specifically, we adopt a linear dynamical model (intrinsic activity) under unknown exogenous inputs (e.g., sensory stimuli), and jointly estimate the model parameters and exogenous inputs. First, we demonstrate the utility of this scheme by accurately estimating unknown external stimuli in a synthetic example. Next, we examine brain activity at rest and task for 99 subjects from the Human Connectome Project, and find significant task-related changes in the identified system, and task-related increases in the estimated external inputs showing high similarity to known task regressors. Finally, through detailed examination of fluctuations in the spatial distribution of the oscillatory modes of the estimated system during the resting state, we find an apparent non-stationarity in the profile of modes that span several brain regions including the visual and the dorsal attention systems. The results suggest that these brain structures display a time-varying relationship, or alternatively, receive non-stationary exogenous inputs that can lead to apparent system non-stationarities. Together, our embodied model of brain activity provides an avenue to gain deeper insight into the relationship between cortical functional dynamics and their drivers.
A Review on Design Development and Performance Assessment of QR Code based Secure User Identification System

Authentication is the process of securing and authenticating a user, usually by combining a username and password when logging in to an IT system or application. The various factors of certification are knowledge, ownership and inherent factors. In fact, the basis for certification is that the system will not be able to associate a certification factor with a particular entity without a proper form of identification. There are many security incidents happening around the world. The authentication system based on single factor knowledge, such as user name and password, is not enough to prevent authentication attacks. In this study, both ownership-based and biometric-based certifications have been investigated and five schemes have been developed that use smartcards, QR codes, encrypted QR codes and finger veins. The embedded data may be stolen because the two-dimensional code is not encrypted. So, developed an encrypted QR code. To illustrate the use of encrypted QR codes, use online banking certification. One-time passwords (OTPs) are encrypted and embedded in the QR code and displayed to users on the Bank's website. An improved verification scheme OTP-EQR has been developed. The method of encoding the data in the QR code is modified so that it is only readable by the corresponding QR code reader with the password. Other QR code reading software will not be able to read the data. QR codes generated using the proposed improved coding and encryption procedures have higher entropy, negative correlation coefficients and higher mean square error, indicating that the original image and the encrypted QR code are different and therefore safe. The existing and proposed methods both show higher entropy, and between them, the proposed encryption method gives a higher entropy.
Mismatch and the Paternalistic Justification for Selective College Admissions

Although some scholars report that all students are better served by attending more prestigious postsecondary institutions, others have argued that students are better off attending colleges where they are about average in terms of academic ability and suffer worse outcomes if they attend schools that are “out of their league” at which they are “overmatched. ” The latter argument is most frequently deployed as a paternalistic justification for ending affirmative action. We take advantage of a natural admissions experiment at the University of California to test the effect of being overmatched for students on the margin of admission to elite universities. Consistent with the mismatch hypothesis, we find that students accumulate more credits when they attend less demanding institutions. However, students do not earn higher grades and are no more or less likely to drop out of schools where they are overmatched and are less likely to drop out than they would have been had they attended less demanding institutions.
Mineral profile analysis of oilseeds and their by-products as feeding sources for animal nutrition.

The aim of this study was to determine dry matter (DM) and crude ash content, as well as minerals content of oilseeds and their by-products, cakes. Four samples of oilseeds (sunflower, soybean, flaxseed and rapessed) were analysed as seeds and cakes. Analyzed crops were grown in University Experimental Farm in Koliňany. Cakes were obtained by using pressing unit FARMER 10. Dry matter and crude ash were determined by standard laboratory methods and procedures. Mineral nutrients profile analysis was performed by using the High Resolution Continuum Source Atomic Absorption Spectrometer contrAA 700 for calcium (Ca), magnesium (Mg), sodium (Na), potassium (K), zinc (Zn), copper (Cu), iron (Fe), manganese (Mn). To analyze phosphorus (P) content 6400 Spectrophotometer was used. Significant differences (P<0.05) in DM and crude ash content, as well as in mineral composition of analyzed seeds and cakes were found. The most represented macroelements were K (soybean seed and soybean cake over 20 g.kg-1 of DM) and P (rapeseed cake 12.23 g.kg-1 of DM and sunflower cake 11.42 g.kg-1 of DM). On the other hand, Na was present in the analyzed samples the least, mostly below 1 g.kg-1 of DM. From microelements, the highest values were observed for Fe (with the maximum for rapeseed cake 107.94 mg.kg-1 of DM and soybean cake 88.97 mg.kg-1 of DM) and Zn (with the maximum for sunflower cake 58.94 mg.kg-1 of DM and rapeseed cake 52.38 mg.kg-1 of DM). Rapeseed and rapeseed cake have significantly (P<0.05) proven to be the richest in Mn content (32.96 mg.kg-1 of DM and 54.07 mg.kg-1 of DM, respectively), but on the other hand they contained the least amount of Cu (6.82 mg.kg-1 of DM and 8.90 mg.kg-1 of DM, respectively).
And Prescriptive Purposes -some Comments*

The first problem encountered in discussions about the three closely linked purposes of decision research is a lack of agreement about the meanings of the three terms descriptive, normative, and prescriptive. The goal of these comments is to illustrate my understanding of the terms and suggest areas for future prescriptive research. Normative decision research identifies logically compelling properties with which decision behavior should conform. For a simple example, it can be forcefully argued that a person's preferences among alternative actions should be transitive. ~' Sets of compelling properties can be combined to identify various normative preference theories, such as expected utility theory as derived from axioms by yon Neumann and Morgenstern [6]. On the other hand, descriptive decision research identifies the way people actually make choices. Often, this research has explicitly compared people's choices with normative choices or models. Thus, continuing the example of transitivity, people have been shown to sometimes violate the transitivity principle (MacCrimmon [4,5]). There is a gap between the descriptive observation that people are sometimes intransitive and the normative principle that people ought to be transitive. Research with a prescriptive purpose is designed to bridge this gap by developing and testing methods for aiding people in conforming with desired normative principles. This can also be called decision engineering, since it requires a series of model building and testing phases. In his dissertation, Macerimmon found that verbally pointing out to subjects their intransitive orderings led people to readjust their orderings and become transitive. Transivity is a good introductory example since it allows a fairly clear-cut division among the three purposes for decision research. In many actual research projects, all three aspects may be present, though in different strengths. 1 profess to