Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a methodology for the materialisation of ceramic rapid prototypes based on substractive methods

The concept of obtaining Rapid Prototypes build up on Ceramic materials is increasingly being an object of study due to the multiple applications of different Ceramic compounds, for instance, in the biomedical or in the aerospace industries. However, technical ceramics are much difficult to machine than other materials due to special characteristics such as fragility, dustiness and abrasive behaviour. As a difference to studies that approach the realisation of Ceramic prototypes by the application of layered manufacturing technologies, the purpose of this work is to analyse the specific features of technical ceramic materials and to develop a methodology for the materialisation of ceramic rapid prototypes based on subtractive methods. In the present study, the ceramic material is compacted on a cylindrical pre-form and then machined into a geometry that will then be sintered, deforming to the final shape required. The study presents the most relevant points of the methodology and the potential
A thematic analysis of the Afar camel folk literature: an ethnography-of-communication approach

Although the camel is an important domestic animal in many arid parts of the world, little attention has been paid to camel-herding systems by literary researchers. We can argue that research attention has recently focused on arid lands, but the fact remains that camel and camel-herding are still under-researched fields. The point to be stressed here is that this is true not only from the social, economic and veterinary aspects, but also from the linguistic and literaiy perspectives (Mohammed Abdillahi Rirash, 1988). In this regard, the Afar language has been exposed to nature's calamities.2
Current and Potential Treatments for Reducing Campylobacter Colonization in Animal Hosts and Disease in Humans

Campylobacter jejuni is the leading cause of bacteria-derived gastroenteritis worldwide. In the developed world, Campylobacter is usually acquired by consuming under-cooked poultry, while in the developing world it is often obtained through drinking contaminated water. Once consumed, the bacteria adhere to the intestinal epithelium or mucus layer, causing toxin-mediated inhibition of fluid reabsorption from the intestine and invasion-induced inflammation and diarrhea. Traditionally, severe or prolonged cases of campylobacteriosis have been treated with antibiotics; however, overuse of these antibiotics has led to the emergence of antibiotic-resistant strains. As the incidence of antibiotic resistance, emergence of post-infectious diseases, and economic burden associated with Campylobacter increases, it is becoming urgent that novel treatments are developed to reduce Campylobacter numbers in commercial poultry and campylobacteriosis in humans. The purpose of this review is to provide the current status of present and proposed treatments to combat Campylobacter infection in humans and colonization in animal reservoirs. These treatments include anti-Campylobacter compounds, probiotics, bacteriophage, vaccines, and anti-Campylobacter bacteriocins, all of which may be successful at reducing the incidence of campylobacteriosis in humans and/or colonization loads in poultry. In addition to reviewing treatments, we will also address several proposed targets that may be used in future development of novel anti-Campylobacter treatments.
Usability heuristics evaluation for child e-learning applications

Heuristic evaluation has become widely accepted method of usability evaluation in software development. This paper introduces Heuristic Evaluation for Child E-learning applications (HECE), a comprehensive set of heuristics for child e-learning along with a detailed explanation for the usability experts on how to apply them. These sets of heuristics are based on Nielsen's original ten heuristic developed for software. Nielson heuristics are basically generic, and might not encompass usability attributes specific to children or e-learning. The new HECE set would overcome these shortcomings. The validity and effectiveness of these heuristics were evaluated against two developed e-learning programs designed by ReDSOFT for KG-2 and special need students. The results indicated that HECE identified qualitative similarities and differences with user testing, and that HECE is best suited for evaluating general and child usability. Combined with user testing, HECE offers a new track that can assist in guiding the child e-learning industry to design applications that are both educational and pleasurable for children.
A high efficiency and high linearity power amplifier utilizing post-linearization technique for 5.8 GHz DSRC applications

In this paper, a post-linearization technique of cascode CMOS power amplifier is presented. The proposed method adopts two cascode FET, one operates in class AB mode and the other works near class B mode, which absorbs the nonlinear current of third-order intermodulation distortion (IMD). The proposed method is investigated for 5.8 GHz Dedicated Short Range Communication (DSRC) applications, and fabricated by 0.13 µm CMOS process. The measured results show that the proposed power amplifier exhibited a power gain of 11.5 dB, an output power of 1 dB compression point (P1dB) of 17.3 dBm, a power added efficiency (PAE) of 32% at P1dB with a low voltage operation of 2.0 V. The improvement in IMD of 6 dB over large output power range and a maximum improvement of 12 dB were achieved.
D Map Building Based on Stereo Vision

this paper, we present a 3D map building method based on stereo vision for autonomous land vehicle(ALV). We achieve the 3D coordinates under the camera coordinate system(CCS) from the disparity map firstly. Then we develop the conversion between the CCS and the ALV coordinate system(ALV-CS) to acquire the local 3D map which reflects the actual scene basically. And the method is highly real-time and meets the need of ALV navigation. Furthermore, combined with the binocular stereo vision system, the error of the method is analysed based on the 2D prediction error from camera calibration and the disparity error from stereo matching, and the error item that describes the depth error between the built data of the scene point and the actual one is computed. The experiment to compensate the built 3D map is done and the result shows that the item can improve the precision of 3D map effectively. Then combined with information from INS and GPS, a global 3D map that reflects the actual scene, is built based on local 3D map.
Competitive inactivation of a double-strand DNA break site involves parallel suppression of meiosis-induced changes in chromatin configuration.

In Saccharomyces cerevisiae, DNA double-strand breaks (DSBs) initiate meiotic recombination at open sites in chromatin, which display a meiosis-specific increase in micrococcal nuclease (MNase) sensitivity. The arg4 promoter contains such a DSB site. When arg4 sequences are placed in a pBR322-derived insert at HIS4 (his4 :: arg4 ), the presence of strong DSB sites in pBR322 sequences leads to an almost complete loss of breaks from the insert-borne arg4 promoter region. Most of the MNase-sensitive sites occurred at similar positions in insert-borne and in normal ARG4 sequences, indicating that hotspot inactivation is not a consequence of changes in nucleosome positioning. However, a meiosis-specific increase in MNase hypersensitivity was no longer detected at the inactive insert-borne arg4 DSB site. Elimination of pBR322 sequences restored DSBs to the insert-borne arg4 promoter region and also restored the meiotic induction of MNase hypersensitivity. Thus, the meiotic induction of MNase hypersensitivity at the DSB sites is suppressed and activated in parallel to DSBs themselves, without changes in the underlying DNA sequence or nucleosome positioning. We suggest that meiosis-specific changes in chromatin at a DSB site are a signal reflecting a pivotal step in DSB formation.
Determining relationships and mechanisms between tropospheric ozone column concentrations and tropical biomass burning in Thailand and its surrounding regions

This study aims to determine the variability and trends of tropical biomass burning, tropospheric ozone levels from 2005–2012 in Thailand and the ozone transport from the surrounding regions. Intense biomass burning and tropospheric ozone in this area have a seasonal variability with the maximum generally occurring during the dry season. The northern part of Thailand was observed to have high tropospheric ozone during the dry peak season in April. Forward trajectory analysis determined that ozone sources due to biomass burning in the northern and western surrounding regions (Myanmar, Laos and India) enhance the tropospheric ozone column in northern Thailand. Seasonal variations were also seen for the middle and northeastern regions of Thailand. During August, most biomass burning occurs in Indonesia and Malaysia. However, forward trajectory analysis showed that the effect in the tropospheric ozone column level in the southern part of Thailand is minimal from these regions. Eight-year trends of tropospheric ozone column were also calculated for the different regions of Thailand. However, statistical analysis showed that these trends were not significant. The interannual variability of the tropospheric ozone column concentrations due to El Niño Southern Oscillation were also investigated. It was observed that the best correlation of the tropospheric ozone column with the Oceanic Niño Index (ONI) occured when ONI was advanced 3 months for the north, northeast and south regions of Thailand and 4 months for the middle region of Thailand.
APPLICATION AND INTERPRETATION OF NESTED LOGIT MODELS OF INTERCITY MODE CHOICE

A clear understanding of the sources and amount of ridership on a new or improved travel mode is critical to evaluating the financial, travel flow, and external impacts of proposed improvements. The multinomial logit model traditionally used to model intercity mode choice may not adequately reflect traveler behavior because it restricts the relative probability of choosing between any pair of existing modes to be unchanged when other modes are introduced or changed. The nested logit model provides a computationally feasible generalization to the multinomial logit model, which allows for specified mode pairs to exhibit increased sensitivity to changes in service. Full information estimation of nested logit models allows efficient use of information and yields results directly comparable to multinomial logit models. Business travel in the Ontario-Quebec corridor of Canada is examined. A set of nested logit structures that allow for various combinations of differential sensitivity to changes in service quality of rail is estimated. Nested logit structures with bus-train or car-train nests prove superior to the multinomial logit model. Both of the nested logit models predict larger increases in rail shares than the multinomial logit model in response to rail service improvements, but the source of that increased ridership differs between the nested logit structures. This points to the need for models of individual choice that retain the advantages of nested logit while allowing pairwise similarity between alternatives.
Speech enhancement with a GSC-like structure employing sparse coding

Speech communication is often influenced by various types of interfering signals. To improve the quality of the desired signal, a generalized sidelobe canceller (GSC), which uses a reference signal to estimate the interfering signal, is attracting attention of researchers. However, the interference suppression of GSC is limited since a little residual desired signal leaks into the reference signal. To overcome this problem, we use sparse coding to suppress the residual desired signal while preserving the reference signal. Sparse coding with the learned dictionary is usually used to reconstruct the desired signal. As the training samples of a desired signal for dictionary learning are not observable in the real environment, the reconstructed desired signal may contain a lot of residual interfering signal. In contrast, the training samples of the interfering signal during the absence of the desired signal for interferer dictionary learning can be achieved through voice activity detection (VAD). Since the reference signal of an interfering signal is coherent to the interferer dictionary, it can be well restructured by sparse coding, while the residual desired signal will be removed. The performance of GSC will be improved since the estimate of the interfering signal with the proposed reference signal is more accurate than ever. Simulation and experiments on a real acoustic environment show that our proposed method is effective in suppressing interfering signals.
SYNTHESIS BY BITWISE LOGICAL MODULATION

The synthesis of rich audio spectra requires usuall y complex source waveforms, a large number of simple source c omponents, or increased algorithmic complexity. This paper des cribes an implementation, which shows that simple elementary bitwise logical operations (OR, AND, XOR) possess power to p r duce such spectra. Applying these operations to two sinu soidal audio oscillators produced wide variety of new harmonical ly related sonic material. The synthesis method is efficient t o implement and easily controllable, but it is not generally ba nd-limited.
Seeing through the opaque glass, darkly: farmers' perception of climate change

Emergent scientific facts about climate change occurrence, increasing intensity and potential damage to the world have made the issue of policy a necessity objective. In spite of global effort, very little data have been collected and therefore very little is known about support or opposition to mitigation or adaptation policies at any level. Although there are claims that support or opposition to proposed climate policies will be greatly influenced by perceived risks, how this evolves for farmers in a developing country is not understood and may be intricately intertwined with individuals' interpretation of practical experience with climate change impacts. Using a checklist, specific issues relating to climate change are covered through focus group discussions. Results of data analysis show widespread awareness of climate change impacts, reasonable ability to describe its occurrence but lack of fair understanding of the causes of climate change. Impact occurrences from experience and historical accounts are identified determinants in farmers' awareness, concern and risk perception of climate change and thus factor in the identification of relevant policies and decision to support them. The responsibility for ensuring policy effectiveness is said to involve the participatory roles of the farmers themselves, government, non-governmental organizations and international agencies.
Right Delocalization of Model Categories

Model categories have long been a useful tool in homotopy theory, allowing many generalizations of results in topological spaces to other categories. Giving a localization of a model category provides an additional model category structure on the same base category, which alters what objects are being considered equivalent by increasing the class of weak equivalences. In some situations, a model category where the class of weak equivalences is restricted from the original one could be more desirable. In this situation we need the notion of a delocalization. In this paper, right Bousfield delocalization is defined, we provide examples of right Bousfield delocalization as well as an existence theorem. In particular, we show that given two model category structures $\scr{M}_1$ and $\scr{M}_2$ we can define an additional model category structure $\scr{M}_1 \cap \scr{M}_2$ by defining the class of weak equivalences to be the intersection of the $\scr{M}_1$ and $\scr{M}_2$ weak equivalences. In addition we consider the model category on diagram categories over a base category (which is endowed with a model category structure) and show that delocalization is often preserved by the diagram model category structure.
An SOI CMOS, high gain and low noise transimpedance-limiting amplifier for 10Gb/s applications

This paper presents a low noise, high gain transimpedance-limiting amplifier (TIALA) design for 10Gb/s applications, implemented in a 0.13mum SOI CMOS technology. Powered from a single 1.5V supply and consuming 165mW, the TIALA features auto-zero DC feedback and has 25muApp input current sensitivity (an estimated -16dBm optical sensitivity) with over 40dB electrical dynamic range and 14 kOhm linear gain
On-orbit estimation of dynamic properties for STSAT3

Reliable and efficient attitude control requires the accurate dynamic properties. On orbit, the mass and inertia values are to be changed by some activities such as the propellant use, the solar panel deployment, etc. To obtain the accurate mass properties, the estimation should be performed. For the initial on-orbit estimation of the mass properties, the gyro-based attitude data is applied for the batch method. The gyro-based attitude data includes the noise, which affects the estimation accuracy. We suggested several filtering methods including the extended Kalman filtering algorithm to obtain the well-conditioned attitude data. Applying the proper filters, we can obtain the reliable estimation result of the mass properties of STSAT3.
Complexity results for prefix grammars

Resolving an open problem of Ravikumar and Quan, we show that equivalence of prefix grammars is complete in PSPACE. We also show that membership for these grammars is complete in P (it was known that this problem is in P) and characterize the complexity of equivalence and inclusion for monotonic grammars. For grammars with several premises we show that membership is complete in EXPTIME and hard for PSPACE for monotonic grammars.
Maternal Fructose Intake Affects Transcriptome Changes and Programmed Hypertension in Offspring in Later Life

Hypertension originates from early-life insults by so-called “developmental origins of health and disease” (DOHaD). Studies performed in the previous few decades indicate that fructose consumption is associated with an increase in hypertension rate. It is emerging field that tends to unfold the nutrient–gene interactions of maternal high-fructose (HF) intake on the offspring which links renal programming to programmed hypertension. Reprogramming interventions counteract disturbed nutrient–gene interactions induced by maternal HF intake and exert protective effects against developmentally programmed hypertension. Here, we review the key themes on the effect of maternal HF consumption on renal transcriptome changes and programmed hypertension. We have particularly focused on the following areas: metabolic effects of fructose on hypertension and kidney disease; effects of maternal HF consumption on hypertension development in adult offspring; effects of maternal HF consumption on renal transcriptome changes; and application of reprogramming interventions to prevent maternal HF consumption-induced programmed hypertension in animal models. Provision of personalized nutrition is still a faraway goal. Therefore, there is an urgent need to understand early-life nutrient–gene interactions and to develop effective reprogramming strategies for treating hypertension and other HF consumption-related diseases.
Clock Distribution Area Reduction Using a Multiple-Valued Clocking Approach

Multi-phase clocking methods are well known and widely used in high-performance integrated circuit design. Such a scheme allows for relaxation of timing constraints among disjoint partitions of the logic circuitry since lower frequency local clocking is required as compared to the system clock frequency at the cost of increased clock distribution network area. The disadvantage is that multiple clock distribution trees are required, one for each clock domain or phase within the integrated circuit. Clock distribution networks have the highest fanout of any circuit within typical ICs and represent a significant amount of resource utilization. We devise a method that retains the advantages of multi-phase IC design, but utilizes a single global multiple-valued clock signal distribution network versus separate distribution networks for each phase in an ASIC or custom VLSI implementation. The technique requires a minimal amount of modification to existing multi-phase designs and is evaluated and compared to traditional multiphase designs. Furthermore, the approach is applicable to programmable logic (FPGA) implementations through distributing the multiple-valued clock signal using log 2 (N) distribution networks for an N-phase system. Experimental results are provided to validate and evaluate the approach.
Streaming Computations with Precise Control

Streaming computing is a paradigm of distributed computing that features networked nodes connected by first-in-first-out data channels. Communication between nodes may include not only high-volume data tokens but also infrequent and unpredictable control messages carrying control information, such as data set boundaries, exceptions, or reconfiguration requests. In many applications, it is necessary to order delivery of control messages precisely relative to data tokens, which can be especially challenging when nodes can filter data tokens. Existing approaches, mainly data serialization protocols, do not exploit the low-volume nature of control messages and may not guarantee that synchronization of these messages with data will be free of deadlock. In this paper, we propose an efficient messaging system for adding precisely ordered control messages to streaming applications. We use a credit-based protocol to avoid the need to tag data tokens and control messages. For potential deadlocks caused by filtering behavior and global synchronization, we propose deadlock avoidance solutions and prove their correctness. Experimental results show that with our messaging system, we can substantially improve the performance of a sparse-data streaming application by filtering unnecessary data tokens.
CSM-autossociators combination for degraded machine printed character recognition

This paper presents an OCR method that combines the complementary similarity measure (CSM) method with a set of autossociators for degraded character recognition. In the serial combination, the first classifier must achieve lower errors and be very well suited for rejection, whereas the second classifier must allow only low errors and rejects. We introduce a rejection criterion mode used as a quality measurement of the degraded character which makes the CSM-based classifier very powerful and very well suited for rejection. We report experimental results for a comparison of three methods: the CSM method, the autoassociator-based classifier and the proposed combined architecture. Experimental results show an achievement of 99.59% of recognition rate on poor quality bank check characters, which confirm that the proposed approach can be successfully used for effective degraded printed character recognition.