Database Semantics

For long-term upscaling, the computational reconstruction of a complex natural mechanism must be input-output equivalent with the prototype, i.e. the reconstruction must take the same input and produce the same output in the same processing order as the original. Accordingly, the modeling of natural language communication in Database Semantics (DBS) uses a time-linear derivation order for the speaker’s output and the hearer’s input. The language-dependent surfaces serving as the vehicle of content transfer from speaker to hearer are raw data without meaning or any grammatical properties whatsoever, but measurable by natural science.

TDTS: Three-Dimensional Traffic Scheduling in Optical Fronthaul Networks with Conv-LSTM

Given the more intensive deployments of emerging Internet of Things applications with beyond-fifth-generation communication, the access network becomes bandwidth-hungry to support more kinds of services, requiring higher resource utilization of the optical fronthaul network. To enhance resource utilization, this study novelly proposed a three-dimensional traffic scheduling (TDTS) scheme in the optical fronthaul network. Specifically, large and mixed traffic data with multiple different requirements were firstly divided according to three-dimensions parameters of traffic requests, i.e., arriving time, transmission tolerance delay, and bandwidth requirements, forming eight types of traffic model. Then, historical traffic data with division results were put into convolutional-long short-term memory (Conv-LSTM) strategy for traffic prediction, obtaining a clear traffic pattern. Next, the traffic processing order was supported by a priority evaluation factor that was measured by traffic status of the link and network characteristics comprehensively. Finally, following the priority, the proposed TDTS scheme assigned the resource to traffic requests according to their results of traffic division, prediction, and processing order with the shortest path routing and first-fit spectrum allocation policies. Simulation results demonstrated that the proposed TDTS scheme, on the premise of accurate traffic prediction, could outperform conventional resource-allocation schemes in terms of blocking probability and resource utilization.

Sistem Informasi Pemesanan Makanan Berbasis Client Server di Kopi We Salatiga

Many entrepreneurs have formed businesses in the culinary field. At this time, there are many restaurants not use computerization in making transactions. With limited human resources and lack of time effectiveness to serve customers who place orders, a food ordering information system is needed that can solve these problems. This system makes it easy to order food and manage the income, because when making transactions with customers you don't need to write menus manually and customers can get accurate info. This system, customers immediately know the details of him transaction. This study uses the Waterfall methodology then built with the Codeigniter’s framework and as a database support using MySQL. The data collection stage in making this information system is carried out by observation and interview. The system is implemented with a client server network architecture using a personal computer at the cashier as a server, so the system runs without internet access. The results of this system include ordering menus, processing order and transactions data, and printing transaction receipts in PDF. System testing using Black Box testing method, shows that the system has run well without any errors. Meanwhile, the results of questionnaire testing of 31 respondents, consisting of 30 visitors getting an interpretation percentage of 96% and 1 coffee shop owner getting 80% of the interpretation percentage. So, it can be concluded that the system is considered feasible to be applied and facilitates the process of ordering food.

Neural Correlates of Task-order Preparation in Dual Tasks: An EEG Study

Dual-task scenarios require a coordinated regulation of the processing order of component tasks in light of capacity limitations during response selection. A number of behavioral and neuroimaging findings suggest a distinct set of control processes involved in preparing this task order. In this study, we investigated electrophysiological correlates of task-order preparation in a variant of the overlapping dual-task paradigm with cue-determined task order that resulted in trials with blockwise fixed task order as well as trials with repeated and switched task order in blocks with variable task order. During the cue–stimulus interval, we found an earlier centroparietal order-mixing positivity and a later parietal order-switch positivity. A decoding approach based on multivariate pattern analysis showed that the order-mixing positivity is a necessary prerequisite for successful order selection, whereas the order-switch positivity appears to facilitate the implementation of a new task order after its selection. These correlates of order preparation share striking similarities to commonly found potentials involved in the preparation of individual tasks in the (single-)task-switching paradigm, which is strong empirical support for the account that the underlying preparatory processes are to be considered as higher-level control signals that are implemented independently of specific task representations.

Compound Figures: A Multi-Channel View of Communication and Psychological Plausibility

Philosophical views of language have traditionally been focused on notions of truth. This is a reconstructive view in that we try to extract from an utterance in context what the sentence and speaker meaning are. This focus on meaning extraction from word sequences alone, however, is challenged by utterances which combine different types of figures. This paper argues that what appears to be a special case of ironic utterances—ironic metaphorical compounds—sheds light on the requirements for psychological plausibility of a theory of communication and thus presents a different view of communication and language to that dominant in philosophy of language. In the view presented here, the hearer does not extract the speaker’s communicative intention from the sequence of words in the utterance, but from other channels (gesture, intonation, facial expression), so as to constrain the inferential space for the sentence and speaker meaning. Specifically, we examine an example of ironic metaphor discussed by Stern (2000). He argues that ironic content is logically dependent on metaphorical content, but makes no claims about how psychologically plausible this is in terms of the processing order. We argue that a straightforward translation of logical order into temporal order makes little sense. The primary sticking point is that without a prior understanding of the speaker’s communicative intentions, it is computationally more challenging to process the sub-component meanings. An alternative solution based on communicative channels leads us to a more psychologically plausible account of the structure of communicative acts and intentions. This provides support for the psychological realism of a richer theory of communicative intent.

On deterministic 1-limited 5′ → 3′ sensing Watson–Crick finite-state transducers

Finite automata and finite state transducers belong to the bases of (theoretical) computer science with many applications. On the other hand, DNA computing and related bio-inspired paradigms are relatively new fields of computing. Watson–Crick automata are in the intersection of the above fields. These finite automata have two reading heads as they read the upper and lower strands of the input DNA molecule, respectively. In 5′ → 3′ Watson–Crick automata the two reading heads move in the same biochemical direction, that is, from the 5′ end of the strand to the direction of the 3′ end. However, in the double-stranded DNA, the DNA strands are directed in opposite way to each other, therefore 5′ → 3′ Watson–Crick automata read the input from the two extremes. In sensing 5′ → 3′ automata the automata sense if the two heads are at the same position, moreover, the computing process is finished at that time. Based on this class of automata, we define WK transducers such that, at each transition, exactly one input letter is being processed, and exactly one output letter is written on a normal output tape. Some special cases are defined and analyzed, e.g., when only one of the reading heads is being used and when the transducer has only one state. We also show that the minimal transducer is uniquely defined if the transducer is deterministic and it has marked output, i.e., the output letter written in a step identifies the reading head that is used in that transition. We have also used the functions ‘processing order’ and ‘reading heads’ to analyze these transducers.

Effect of Pluronic-F68 fog solution on performance and morbidity of newly received heifer calves

Morbidity and mortality from bovine respiratory disease (BRD) of newly received feedlot cattle continue to be problems for the feedlot industry. The objective of this study was to evaluate the effects of utilizing a novel breathing treatment containing a nonionic surfactant (Pluronic-F68) on performance and morbidity of high-risk calves during a 45-d receiving period. Angus/Angus-cross heifer calves (n = 240) were acquired in Delhi, LA, and transported (14 h) to the research facility. Heifers were allowed 21-h rest with access to water and RAMP prior to processing. Heifers were sorted into 16 pens by processing order and randomized by pen into one of two treatments: novel breathing treatment containing 6.25% Pluronic-F68 solution, 28.13% glycerin, and 65.62% water (FOG; n = 8 pens per treat and 15 heifers per pen) and control (CON; n = 8 pens per treat and 15 heifers per pen). Control heifers were held in an enclosed stock trailer for 10 min and followed by FOG heifers, during which time treatment was administered. The person responsible for identifying signs of morbidity was blinded to treatment assignments. Data were analyzed as a completely randomized design using MIXED (continuous) or GLIMIX (binomial) models of SAS 9.4. Average daily gain was similar between treatments (P = 0.91). No differences were found in dry matter intake (P = 0.14) nor in gain efficiency (P = 0.58). There were no differences (P = 0.74) in final body weights. Morbidity was similar at first, second, and third antimicrobial administration regardless of treatment (P ≥ 0.34). The number of antimicrobial treatments required or the management of BRD was similar between treatments (P = 0.72). There was no difference (P = 0.44) in mortality between FOG and CON groups. The Pluronic-F68 solution did not improve performance or reduce morbidity of newly received heifer calves; however, further research with a different concentration and/or duration of fogging may be warranted.

PSI-28 Effect of Pluronic-F68 fog solution on performance and morbidity of newly-received heifer calves

Morbidity and mortality from bovine respiratory disease of newly-received feedlot cattle continues to be a problem for the feedlot industry. The objective of this study was to evaluate effects of utilizing a novel breathing treatment containing a non-ionic surfactant (Pluronic-F68) on performance and morbidity of high-risk calves during a 45-d receiving period. Angus/Angus-cross heifer calves (n = 240) were acquired in Delhi, LA and transported (14h) to the research facility. Heifers were allowed 21-h rest with access to water and RAMP® prior to processing. Heifers were sorted into 16 pens by processing order and randomized into one of two treatments: novel breathing treatment containing 6.25% Pluronic-F68 solution, 28.13% glycerin, and 65.62% water (FOG; n = 8 pens/treat and 15 heifers/pen) and control (CON; n = 8 pens/treat and 15 heifers/pen). Control heifers were held in an enclosed stock trailer for 10 min and followed by FOG heifers, during which time treatment was administered. The person responsible for identifying signs of morbidity was blinded to treatment assignments. Data were analyzed as a completely randomized design using MIXED (continuous) or GLIMMIX (binomial) models of SAS 9.4. Average daily gain was similar between treatments (P = 0.91). No differences were found in dry matter intake (P = 0.14) nor in feed efficiency (P = 0.58). There were no differences (P = 0.74) in final body weights. Morbidity was similar at first, second and third antimicrobial administration regardless of treatment (P ≥ 0.34). The number of antimicrobial treatments required or the management of BRD was similar between treatments (P = 0.72) There was no difference (P = 0.44) in mortality between FOG and CON groups. The Pluronic-F68 solution did not improve performance or reduce morbidity of newly received heifer calves; however, further research with a different concentration and/or duration of fogging may be warranted.

Developing image analysis pipelines of whole-slide images: Pre- and post-processing

Deep learning has pushed the scope of digital pathology beyond simple digitization and telemedicine. The incorporation of these algorithms in routine workflow is on the horizon and maybe a disruptive technology, reducing processing time, and increasing detection of anomalies. While the newest computational methods enjoy much of the press, incorporating deep learning into standard laboratory workflow requires many more steps than simply training and testing a model. Image analysis using deep learning methods often requires substantial pre- and post-processing order to improve interpretation and prediction. Similar to any data processing pipeline, images must be prepared for modeling and the resultant predictions need further processing for interpretation. Examples include artifact detection, color normalization, image subsampling or tiling, removal of errant predictions, etc. Once processed, predictions are complicated by image file size – typically several gigabytes when unpacked. This forces images to be tiled, meaning that a series of subsamples from the whole-slide image (WSI) are used in modeling. Herein, we review many of these methods as they pertain to the analysis of biopsy slides and discuss the multitude of unique issues that are part of the analysis of very large images.

The effect of response order on candidate viewing behaviour and item difficulty in a multiple-choice listening test

Studies from various disciplines have reported that spatial location of options in relation to processing order impacts the ultimate choice of the option. A large number of studies have found a primacy effect, that is, the tendency to prefer the first option. In this paper we report on evidence that position of the key in four-option multiple-choice (MC) listening test items may affect item difficulty and thereby potentially introduce construct-irrelevant variance. Two sets of analyses were undertaken. With Study 1 we explored 30 test takers’ processing via eye-tracking on listening items from the Aptis Test. An unexpected finding concerned the amount of processing undertaken on different response options on the MC questions, given their order. Based on this, in Study 2 we looked at the direct effect of key position on item difficulty in a sample of 200 live Aptis items and around 6000 test takers per item. The results suggest that the spatial location of the key in MC listening tests affects the amount of processing it receives and the item’s difficulty. Given the widespread use of MC tasks in language assessments, these findings seem crucial, particularly for tests that randomize response order. Candidates who by chance have many keys in last position might be significantly disadvantaged.