Miracle-dz/UniFAR-FTUs huggingface dataset:
Trillium: a model for the assessment of telecom software system development and maintenance capability

Since 1982 Bell Canada has been developing a model to assess the software development process of existing and prospective suppliers as a means to minimize the risks involved and ensure both the performance and timely delivery of software systems purchased. This paper presents the revised Trillium model (version 3.0). The basis of the process assessment models for software relies on benchmarking, e.g. comparing your practices with the best and successful organizations. It is also a basic tool that you will find in the TQM literature. For software assessment we have used initially two levels of benchmarks to develop the model: professional, national and international standards; and comparisons with other organizations in the same market segment. The software assessment model should therefore map to existing engineering standards as well as quality standards. It should also provide an output that can be used easily to benchmark against "best-in-class" organizations.
RESPONSE OF SAKKOTI DATE PALM TO SPRAYING ABSCISIC
ACID

Sakkoti cultivar is one of the most important and wide dry variety in Aswan Governorate. (Hussien Fathy, 2005 and Ibrahim, 2011). A remarkable decrease in yield (kg/palm) and fruit quality characteristics of Sakkoti under Aswan Governorate conditions were observed in last decade (Al-Bakry 2020). In order to study the effect of spraying abscisic acid (ABA) at different concentration on leaves mineral content, yield, and fruit physical and chemical properties of Sakkoti date palm trees (Phoenix dactylifera L), a field experiment was conducted in two successive seasons (2018 and 2019) at a private farm located at Edfo, Aswan Governorate. The obtained results confirmed that spraying Sakkoti date palm with ABA at 150, 300 and 450 ppm significantly enhanced leaves mineral contents (i.e. nitrogen%, phosphorus%, potassium%, iron ppm, Zinc ppm and manganese ppm), yield (kg)/tree and bunch weight (kg), as well as fruit physical and chemical properties (i.e. fruit length (cm), fruit dimensions (cm), TSS%, total and reducing sugars%), compared to untreated palms. However, the total acidity% and crude fibers % were significantly decreased rather than untreated palms. The maximum values in above mentioned parameters were observed when the palms received ABA at 450 ppm three times yearly. Furthermore, increasing ABA concentration from 300 ppm to 450 ppm failed to enhance some studied parameters significant. The results of the present work showed that spraying ABA at 450 ppm plays a remarkable role in improving leaf mineral contents, yield kg/palm and fruit physical and chemical properties of Sakkoti date palm under Aswan Governorate conditions.
EFFECT OF BULB SIZE AND CHEMICAL FERTILIZATION ON
GROWTH, FLOWERING, BULBS PRODUCTIVITY AND CHEMICAL
COMPOSITION OF Hippeastrum vittatum PLANT

Two field trials were carried out to study the effect of 12 treatments represented the combination between thee bulb sizes of Hippeastrum vittatum (small, medium, and large.) and four rates of NPK chemical composition (0, 2, 4 and 6 g/plant) on the growth, flowering, bulbs productivity and chemical composition of Hippeastrum vittatum plant. Results showed that the combination of the large bulb size significantly induced the greatest values of plant height, leaves number and fresh and dry weights, particularly those treated with chemical fertilizer at the highest rate in the two seasons. The earliest flowering was recorded by the combined treatment between large bulb size and chemical fertilizer at 6g/L, followed by the combined treatment between large size and chemical fertilization at 4g/plant in the two seasons. Furthermore, the combination of large bulb size scored the highest values of inflorescence length, inflorescence stem diameter, inflorescence fresh weight and flowering percentage, especially those received chemical fertilization at the high rate in the two seasons. The highest results of bulb and bulblet diameter, bulb fresh and dry weights and number of bulblets / plant were detected with the combinations of large bulb size, especially those received chemical fertilization at the high rate in the two seasons. The highest leaf N, P, K. total carbohydrates and total chlorophylls contents were scored by the combined treatment between large bulb size and chemical fertilization at 6 g/plant in the two seasons. Conclusively, fertilizing Hippeastrum vittatum plants with mineral fertilization with N: P: K at 6g/L induced prospective effects on vegetative growth and flowering parameters with higher bulbs productivity.
Science Forum: Author-sourced capture of pathway knowledge in 1 computable form using Biofactoid 2

30 Making the knowledge contained in scientific papers machine-readable and formally 31 computable would allow researchers to take full advantage of this information by enabling 32 integration with other knowledge sources to support data analysis and interpretation. Here 33 we describe Biofactoid, a web-based platform that allows scientists to specify networks of 34 interactions between genes, their products, and chemical compounds, and then translates 35 this information into a representation suitable for computational analysis, search and 36 discovery. We also report the results of a pilot study to encourage the wide adoption of 37 Biofactoid by the scientific community. 38 39 One-sentence summary 40 Biofactoid is a tool that enables researchers to capture information about molecular 41 interactions in a form that is both human-readable and machine-computable, thereby 42 allowing this information to be integrated into public knowledge-bases and to be widely 43 disseminated.
2. Forecasting behaviour: with applications to transport

Choice modelling has developed enormously over the last few decades as the principal methodology for the quantitative understanding of human behaviour. In particular choice modelling has been used intensively for the determination of people’s willingness to pay (WTP) for goods and aspects of goods, both in market and nonmarket contexts. The data bases for this work have been dominated by the collection of stated preferences and in particular stated choices. Choice modelling applications now cover a wide range of economic sectors: transport, health, environmental analysis, marketing and other fields. These developments and the expansion of the field can only be viewed as success. However, it is interesting to contrast the objectives and basis of this more recent work with the early development of choice modelling, which began in earnest in the 1960s. At that time, the focus of the work was on forecasting behaviour, based on observations of revealed preferences (i.e. what people are observed to do) and largely focussed on transport applications. While not questioning the recent success of choice modelling, it is interesting to look at the way in which choice modelling has developed away from its earlier methods and applications and to consider whether there is anything for modern choice modelling to learn from those original areas and methods. I shall argue that we can improve our work and its applicability by revisiting the linked issues of forecasting and the use of revealed preference data. The role of transport applications in the early development of choice modelling was crucial. There were good reasons for this. First, the important issues of forecasting the patronage and appraising the benefit for new transport infrastructure generated funds, because choice modelling was able to offer more plausible solutions to the problems faced in transport planning than the methods used previously. Second, the nature of the data available for transport planning, where the characteristics of the
Second Language Learners’ Pauses Over Different Times Intervals in L2 Writing Essays: Evidence From a Keystroke Logging Program Відмінність пауз студентів, які вивчають другу мову L2, за інтервалами часу в написанні есе: докази за допомогою програми реєстрації натискання клавіш

Purpose. Several studies have been conducted to analyse students’ pauses during first language and/or second language writing to indicate the magnitude of the underlying cognitive processes learners have. Majority of studies have examined students’ pauses at a threshold 200ms. However, little is known about recording second language learners' pauses at different pauses’ times over different types of genres. The current investigation reports a case study of L2 learners’ cognitive processes by recording their Second Language Learners’ Pauses Over Dif ferent Times Intervals . 181 © Mohsen Mohammed Ali pauses (<500ms, <1000ms, and <2000ms) during L2 writing in response to multiple
Speech Classification using wav2vec 2.0

TheWav2Vec 2.0-XLSR-53 is a powerful model that was pre-trained to learn multilingual speech representation end-to-end in an unsupervised way. Dialect Identification (DID) and Accent Identification (AID) can be used to improve Automatic Speech Recognition (ASR) systems in languages with multiple distinctive dialects or accents. This thesis uses a classifier on top of wav2vec to classify speech. It is evaluated how the model performs when trained on low-resource datasets. Various experiments are conducted in the areas of AID in English and Spanish. In addition, evaluations were executed on short samples. To further explore the capabilities of wav2vec, an age and sex classifier is trained on German speech. The used corpora were extracted from Mozilla’s Common Voice (Common Voice). Trained was on 1.5 up to 8 hours per class. An average F1-score of 0.396 could be achieved for English while classifying six accents. On seven Spanish accents, an F1-score of 0.266 was reached. In the area of sex identification, an F1-score of 0.90 was reached while achieving 0.360 for age identification with a Macro Averaged Mean Absolute Error (MAEM) of 0.982. The results show that it is possible to train a classifier on wav2vec. However, the achieved scores do not correspond to the desired values. It is shown that for training a better classifier, longer and more samples are needed. Furthermore, it is important for the collection of training-data that the samples contain recordings with freely-spoken speech that is not read from a text.
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer

Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data. In this work, we introduce a large-scale, Bilingual, Open World Video text benchmark dataset(BOVText). There are four features for BOVText. Firstly, we provide 2,000+ videos with more than 1,750,000+ frames, 25 times larger than the existing largest dataset with incidental text in videos. Secondly, our dataset covers 30+ open categories with a wide selection of various scenarios, e.g., Life Vlog, Driving, Movie, etc. Thirdly, abundant text types annotation (i.e., title, caption or scene text) are provided for the different representational meanings in video. Fourthly, the BOVText provides bilingual text annotation to promote multiple cultures live and communication. Besides, we propose an end-to-end video text spotting framework with Transformer, termed TransVTSpotter, which solves the multi-orient text spotting in video with a simple, but efficient attention-based query-key mechanism. It applies object features from the previous frame as a tracking query for the current frame and introduces a rotation angle prediction to fit the multiorient text instance. On ICDAR2015(video), TransVTSpotter achieves the state-of-the-art performance with 44.1% MOTA, 9 fps. The dataset and code of TransVTSpotter can be found at github:com=weijiawu=BOVText and github:com=weijiawu=TransVTSpotter, respectively.
Evaluation of boost, Sepic and Cuk topologies as power factor correction stage in electronic ballast applications

Recent improvements and advances in fluorescent lamps and electronic ballast technologies has considerably increased; the luminous efficacy (hn/w), the lamp's useful life of the ballast, and energy saving in fluorescent lighting systems. This paper present a comparison of results obtained when the power factor correction stage of electronic ballast was implemented under the boost, Sepic and Cuk power convertor topologies. For the fluorescent lamp driver, a push-pull configuration has been used to fulfil the lamp's operation requirements.
Organoleptic characteristic of brownies.. 108 ORGANOLEPTIC CHARACTERISTIC OF BROWNIES FROM MOCAF AND GREEN BEAN FLOUR

The development of local food is one of the programs being promoted by the ministry of agriculture and as an effort to diversify food in the midst of the Covid-19 Pandemic. One of the local food commodities developed was cassava. Based on data from the Central Statistics Agency related to cassava productivity in Indonesia (2014 – 2018) it was in the range of 229.51 – 246.50 tons/year. the average percentage of flour consumption per capita from 2014 –2018 is 19.92%. In addition, the cassava industry had also begun to develop, namely the processing of cassava into Modified Cassava Flour (Mocaf). Organoleptically, the value of Mocaf (in terms of aroma and taste) was almost equivalent to wheat. (Nesia, 2009). One way to control the value of imported flour is by developing products based on local food ingredients. Based on this, local food preparations based on modified cassava flour were developed, namely mocaf and fortified green bean flour as a source of protein. Processed products from cassava and green bean are able to substitute the use of flour 10-100%. This study aims to determine the effect of MOCAF formulation and green bean flour on the organoleptic characteristics of brownies. The flour formulations used for the four treatments (MOCAF wheat flour and green bean flour) were based on the ratio of the composition of each flour. Furthermore, observations were made on the organoleptic characteristics of roasted brownies consisting of color, scent, texture, taste and after taste. Organoleptic test involved 30 untrained panelists using the hedonic method. Organoleptic test results illustrate that the overall product is acceptable, both in terms of taste, aroma, color, texture and after taste. In treatment A, which is brownies with a composition ratio of flour, mocaf and green bean flour (1:3:0), the panelists are generally preferable. In Treatment C, brownies with a composition ratio of flour, mocaf and green bean flour (1:2.33:0.75) only tasted better by the panelists. This indicates that the panelists prefer the addition of green bean flour less than mocaf.
PERANCANGAN DAN REALISASI SISTEM RADAR SFCW MENGGUNAKAN SDR UNTUK MENDETEKSI GETARAN DESIGN AND REALIZATION OF SFCW RADAR SYSTEM USING SDR TO DETECT VIBRATION

Radio Direction and Raging (RADAR) are electromagnetic waves that can be used to detect an object and measure distances. A radar system generally consists of a receiver, transmitter, antenna, signal processing and data processing. Based on the signal sent, radar is divided into two, namely pulsed and continuous wave radars. One type of continuous wave radar is the Stepped Frequency Continuous Wave (SFCW) radar. The SFCW radar is capable of producing a wider range and producing a larger range. One of the software developed in radar technology is Software Defined Radio (SDR). SDR is a software-based radio communication system which is currently being implemented and shows great potential and is one of the applications for implementing radar communication systems. SDR is used for radio circuit design, flexibility in operation, simplifies design and low cost. GNU Radio software SDR implementation for designing SFCW radars for detecting vibrating objects. In the use of the SDR system, components are implemented through software as a substitute for the hardware used such as mixers, filters, modulator / demodulator and so on. In this final project, the design and simulation of the SFCW radar system is made with a bandwidth of 10 MHz and a cut-off frequency of 800 kHz. This simulation performs distance engineering using a delay of 600 ns, 610 ns, and 620 ns. The results of the detection of small shifts to see the phase when the delay is changed which proves the existence of vibrations against the phase shift and beat frequency. The greater the delay, the smaller the wave amplitude, but the frequency FFT does not change.
of the Annual Meeting of the Cognitive Science Society Title Infants ’ Social Communication from a Predictive Processing Perspective

Predictive Processing (PP) has been suggested to account for early cognitive development (Köster et al., 2020). In this paper, we extend its application to early social coordination in parentinfant interactions. Interpersonal neural synchrony in parentchild interactions is hypothesized to be a function of the coupling of internal generative models for mutual prediction. By aligning these internal models and reducing prediction errors, social uncertainty is reduced, and interpersonal neural synchrony is enhanced. Support for this hypothesis is provided by assessing neural synchrony during mother-infant interaction.
Calving day of the week and herd size impact reproductive indicators in small- scale dairy farms

The objective of the present study was to determine whether the day of the week in which delivery occurs and herd size impact reproductive performance. Reproductive information was recorded for eighteen months from 23 small-scale dairy farms (833 calvings) located in Los Altos of Jalisco state. Analysis of variance and logistic regression analyses were performed to determine the effect of independent variables (day of delivery and herd size) on continuous variables (days at first service (DPS) and days open (DA)) and dichotomous variables (assisted calving), respectively. In big farms (≥33 cows) there were no differences (P> 0.05) due to delivery day on DPS. In small farms (<33 cows), cows that gave birth on Wednesday and Thursday had higher DPS (106.1±10.1 and 120.8±11.5) (P <0.05). Cows that gave birth on Saturday in big farms had higher DA (136.4 ± 7.0) as compared to those who delivered on other days (P <0.05). Finally, small farms had twice as many assisted calvings (21.0%) than large herds (10.4%) during weekends (Friday to Sunday) (P <0.05). In conclusion, big farms are less affected by the delivery day effect while small farms reported twice as many assisted calvings during weekends.
An Approach to the Frame Problem, and its Implementation

The frame problem in representing natural-language information is discussed. It is argued that the problem is not restricted to problem-solving-type situations, in which it has mostly been studied so far, but also has a broader significance. A new solution to the frame problem, which arose within a larger system for representing natural-language information, is described. The basic idea is to extend the predicate calculus notation with a special operator, Unless, with peculiar properties. Some difficulties with Unless are described.
Autoresuscitation of Poloxamer 188 in Pigs With Traumatic Severe Hemorrhage

ABSTRACT Background: Poloxamer 188 (P188) is a copolymer surfactant with plasma membrane stabilizing action. This study investigated the effects of P188 on blood volume and coagulation in pigs after traumatic hemorrhage and hypotensive resuscitation. Methods: Femur fracture was performed in 17 anesthetized pigs, followed by hemorrhage of 55% of estimated blood volume and a 10 min shock period. Afterwards, pigs were randomized to be resuscitated with either normal saline (n = 9, 4 mL/kg, NS group) or P188 (n = 8, 1.33 mL/kg at 150 mg/mL, plus 2.67 mL NS/kg, P188 group). Pigs were monitored for 2 h or until death. Hemodynamics were recorded and blood samples were taken at baseline (BL), after hemorrhage, shock, resuscitation, and at 2 h for blood and coagulation analysis using Rotem®. Results: All but one pig in each group survived to 2 h. Femur fracture and hemorrhage reduced mean arterial pressure to half of the BL and elevated heart rate to double of the BL (both P < 0.05). Resuscitation with NS or P188 did not return these measurements to BL. Compared to NS, resuscitation with P188 resulted in a smaller reduction of blood volume (76 ± 3% in P188 and 60 ± 2% in NS); higher base excess (3.3 ± 0.9 vs. 0.5 ± 0.9 mM); and lower hematocrit (24 ± 1 vs. 28 ± 1%) and Ca++ (24 ± 1 vs. 28 ± 1 mM). Resuscitation with P188 prolonged aPTT (43 ± 12 vs. 22 ± 3 s, all P < 0.05). Conclusions: Following traumatic hemorrhage and hypotensive resuscitation, P188 improved circulation volume and base deficit, but induced slower clotting initiation in pigs. Thus, P188 may have limited benefit as an initial small volume resuscitation adjunct following hemorrhage.
BAF155 methylation drives metastasis by hijacking super-enhancers and subverting anti-tumor immunity

Abstract Subunits of the chromatin remodeler SWI/SNF are the most frequently disrupted genes in cancer. However, how post-translational modifications (PTM) of SWI/SNF subunits elicit epigenetic dysfunction remains unknown. Arginine-methylation of BAF155 by coactivator-associated arginine methyltransferase 1 (CARM1) promotes triple-negative breast cancer (TNBC) metastasis. Herein, we discovered the dual roles of methylated-BAF155 (me-BAF155) in promoting tumor metastasis: activation of super-enhancer-addicted oncogenes by recruiting BRD4, and repression of interferon α/γ pathway genes to suppress host immune response. Pharmacological inhibition of CARM1 and BAF155 methylation not only abrogated the expression of an array of oncogenes, but also boosted host immune responses by enhancing the activity and tumor infiltration of cytotoxic T cells. Moreover, strong me-BAF155 staining was detected in circulating tumor cells from metastatic cancer patients. Despite low cytotoxicity, CARM1 inhibitors strongly inhibited TNBC cell migration in vitro, and growth and metastasis in vivo. These findings illustrate a unique mechanism of arginine methylation of a SWI/SNF subunit that drives epigenetic dysregulation, and establishes me-BAF155 as a therapeutic target to enhance immunotherapy efficacy.
2008 Horizon Report Australia-New Zealand edition

The first in a new series of regional and sector-based Horizon Reports, the 2008 Australia-New Zealand Edition examines emerging technologies as they appear in and affect higher education in Australia and New Zealand in particular. The core of the report describes six areas of emerging technology that will impact higher education in Australia and New Zealand within three adoption horizons over the next five years. To identify these areas, the project has drawn on an ongoing conversation among knowledgeable persons in the fields of business, industry, and education; on published resources, current research and practice; and on the expertise of both the NMC community and the communities of the members of the Horizon Project? s Australia? New Zealand Advisory Board.