Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF IODINE SUPPLEMENTATION TO LOW ENERGY DIETS ON PRODUCTIVE AND REPRODUCTIVE PERFORMANCE IN LAYING HENS OF LOCAL SINAI STRAIN

A total number of 297 Sinai hens (270 females and 27 males) 42-wks-old were used, weighed and divided into nine treatment groups, three replicates each, to investigate the effect of Iodine supplementation to low metabolizable energy (ME) layer diets in a factorial design (3x3) on laying performance, egg quality parameters, reproductive performance and nutrients digestibility as well as some blood constituents during the late stage of laying period (42-58 wks of age). The dietary ME of treatments were 2766 (as control); 2655 and 2565 kcal ME/kg, with three iodine levels of 0.3 (as control); 1.2, or 2.4, mg iodine/ kg diet. Results obtained could be summarized as the following: 1Decreasing ME content in the Sinai layer diet resulted in a significant decrease in body weight and body weight gain (BWG) while diet supplemented with 2.4 mg/ iodinekg diet had the highest BWG compared to other groups. Also, BWG was significantly affected due to the interaction between iodine and ME. 2Laying rate percentage and egg mass (g/hen) was significantly decreased by dietary contained 2565 Kcal/Kg diet. Conversely, the hens fed diet 1.2 and 2.4 mg I/Kg diet significantly improved the laying performance. Also, the superiority of the diet contained 2655 Kcal/Kg with 2.4 mg iodine /Kg diet where it was significantly greater laying performance than all other treatments. 3No significant effect was observed on reproductive performance by feeding different levels of ME, while hatchability percentage was significantly improved as dietary supplemented with 1.2 and 2.4 iodine/ kg diet. Also, the best significant value of hatchability was recorded by the interaction between 2655 Kcal ME/ kg and 2.4 mg iodine/ kg diet. 4Decreasing ME content from 2766 to 2655 and 2565 Kcal/kg diet showed linear significant higher feed consumption. While, only the low level of ME (2565 Kcal/Kg diet) significantly decreased feed conversion ratio compared to the control. 5Iodine supplementation (1.2 and 2.4 mg/kg diet) resulted in a significant linear feed consumption decreased compared to the control diet. Also, hens fed diet contained 1.2 and 2.4 mg iodine/Kg diet produced significantly better feed conversion than control diet. 6Feed conversion ratio was significantly improved by the diet containing ME 2655 Kcal/Kg diet + 2.4 mg I /Kg diet as compared to the control diet by about 15.5 %. 7Digestion coefficient of Ether extract (EE) and ash retention were significantly increased by decreasing the ME to 2565 Kcal/Kg diet compared to the control diet (2766Kcal/Kg diet). All values of nutrients digestibility tend to be significantly linear increase for birds fed diets supplemented with 1.2 and 2.4 mg iodine/Kg layer diet as compared to control diet (0.3 mg I/Kg diet). 8Dietary energy level has significant effect on blood metabolites, except triglycerides, and improved HDL concentration and thyroxin level, especially the low followed by the median ME level.
EFFECT OF PLANT DENSITY AND N-FYM COMBINATION FERTILIZER LEVELS ON TWO YELLOW MAIZE CULTIVARS PRODUCITIVY

Two field experiments were conducted during two consecutive summer seasons of 2014 and 2015 in an administrative field at Diarb Negm District, Sharkia Governorate, under Agronomy Department supervision, Faculty of Agriculture, Zagazig University, Egypt. The aim of this study was to investigate the response of two yellow maize hybrids (Single Cross 176 and Three-way Cross 352) to three plant densities (20000, 24000 and 30000 plants/fad.), and nitrogen-farmyard combination fertilizer levels (60, 80 and100 kg N/fad., without addition of farmyard manure (FYM) and 60 kg N/fad. +20 m3 FYM/fad. , 80 kg N/fad. + 20 m3 FYM/fad. , and 100 kg N/fad. +20 m3 FYM/ fad. ) under clay soils conditions. The obtained results could be summarized as follows: The tried three maize plant densities had different effects on plant height (cm), ear diameter and length (cm), number of rows/ear, number of kernels/row, 100-kernel weight, kernel weight/ear, and biological yield (ton/fad.) during both seasons and their combined analysis, but the differences among the tried three maize plant densities on aforementioned traits did not reach the level of significance. Results of the first season and the combined analysis detected significant differences among the tried plant densities on ear yield/fad. Where, ear yield/fad. , and grain yield/fad. , in the first season and combined analysis, harvest index and grain: stover ratio in the two seasons and their combined analysis were significantly increased due to increasing maize density from 20000 or 24000 and up to 30000 plants/fad. Maize SC 173 cultivar appeared to produced taller plants, longer ears and larger number of kernels/row than TWC 352 cultivar. The later produced larger ear diameter, number of rows/ear, 100-kernel weight, kernel weight/ear, ear yield/fad. , grain and biological yields/fad. , than SC 173 one. No significant differences between two maize cultivars regarding harvest index and grain: stover ratio was observed. The first and the second increments in nitrogen levels up to 100 kg N/fad. , with or without addition of farmyard manure was accompanied by a significant increase in ear diameter (cm), ear length (cm), number of rows/ear, number of kernels/row, 100-kernel weight (g), kernel weight/ear (g), ear yield/fad. , grain and biological yields (ton/fad.) but harvest index and grain: stover ratio were reduced during both seasons and their combined analysis. These results finally recommend sowing maize cultivar TWC 352 with dense planting of 30000 plants/fad. , and raising nitrogen level up to 80 kg N/fad. , with addition of farmyard manure to maximize grain yield/fad. , under the experimental site and other likely environmental condition.
Sparse Array for Wireless Sensor Networks and Wireless Communications

Sparse Array for Wireless Sensor Networks and Wireless Communications HAO LIANG, Ph.D. The University of Texas at Arlington, 2017 Supervising Professor: Qilian Liang Underwater target detection and recognition has been widely used nowadays. In this dissertation, we show that the 3-D nested-array system can provide O(N) degree of freedom by using only N physical sensors when the second order statistics of the received data is used, which means we can use less sensors to get a better performance. We propose a maximum likelihood (ML) estimation algorithm for underwater target size detection. Theoretical analysis illustrates that our underwater sensor network can tremendously reduce the variance of target estimation. We show that our ML estimator is unbiased and the variance of parameter estimation matches the CramerRao lower bound.We also propose a maximum likelihood automatic target recognition (ML-ATR) algorithm for nonfluctuating as well as fluctuating targets. Theoretical analysis illustrates that our underwater ML-ATR method can tremendously reduce the number of physical sensors while maintain in a good performance Moreover, a novel deployment for multi-cell cooperative cellular network based on the two-dimensional (2D) coprime array, and analysis on its sum rate capacity are proposed. Taking advantage of that the 2D coprime-array system can provide O(N)
Research on Risky Driving Behavior of Novice Drivers

Novice drivers have become the main group responsible for traffic accidents because of their lack of experience and relatively weak driving skills. Therefore, it is of great value and significance to study the related problems of the risky driving behavior of novice drivers. In this paper, we analyzed and quantified key factors leading to risky driving behavior of novice drivers on the basis of the planned behavior theory and the protection motivation theory. We integrated the theory of planned behavior (TPB) and the theory of planned behavior (PMT) to extensively discuss the formation mechanism of the dangerous driving behavior of novice drivers. The theoretical analysis showed that novice drivers engage in three main risky behaviors: easily changing their attitudes, overestimating their driving skills, and underestimating illegal driving. On the basis of the aforementioned results, we then proposed some specific suggestions such as traffic safety education and training, social supervision, and law construction for novice drivers to reduce their risky behavior.
Caring for Confused Community Dwelling Seniors: Contributing and Obstructing Factors in Daily Care for Healthcare Assistants in District Nursing

Older people with confused behavior, have behavioral problems due to dementia, mental problems or social problems. For the Healthcare Assistant (HA) in district nursing, it is a daily challenge to care for older people with confused behavior. Aim of this research is to achieve an insight in the strategies the HA uses to deal with the daily care for older people with confused behavior. It is also the aim to have insight in factors which contribute to the daily care in a positive or negative way. Method: a qualitative explorative research. 17 HA’s in district nursing participated in semi-structured interviews. All respondents had experience with caring for older people with confused behavior. The most important influencing factors are the experienced relationship between HA and the client and the experienced support by the team. Particularly behavioral problems due to mental problems can impede a relationship with the client. Further research is recommended to study the level of knowledge and competences of all levels of employees in district nursing.
Prevalence of Multi-Drug Resistance Traits in Probiotic Bacterial Species from Fermented Milk Products in Bangladesh

Aims: Matured nourishment like yogurt and cheese are great wellsprings of probiotic living beings. The present study was carried out for isolation, identification and antibiotic profiling of some important bacteria in, local fermented milk-products sold in the market of Dhaka, Bangladesh. Methodology: Twenty types of yogurt and fifteen types of cheese samples were collected from two different local market. De Man, Rogosa and Sharpe agar (MRS agar) and Streptococcus thermophilus agar (ST agar) were used for the isolation of probiotic micro-organisms from these different fermented dairy products. Characterization of lactic acid bacteria belonging to the species of Lactobacillus acidophilus, Lactobacillus bulgaricus and Streptococcus thermophilus was done by using morphological feature, Gram staining, biochemical tests (catalase test, some carbohydrate fermentation tests, alpha haemolysis test, starch hydrolysis test, bile salt tolerance test). The antibiotic profiling was performed by utilizing twelve distinct antibiotics: amikacin (10 μg), amoxicillin (15 μg), azithromycin (30 μg), bacitracin (30 μg), chloramphenicol (30 μg), ciprofloxacin (10 μg), erythromycin (30 μg), gentamicin (30 μg), kanamycin (30 μg), penicillin g (30 μg), tetracycline (15 μg), vancomycin (15 μg) to identified the multi-drug resistance of probiotic micro-organisms. Results: The outcomes demonstrated that specific bacterial species (L. acidophilus, L. bulgaricus and S. thermophilus) were utilized in the production of yogurt and cheese samples, that may have unnecessary antibiotic resistances which can be a risk if they transfer antibiotic resistance genes to pathogenic microbes. Notably, L. bulgaricus was effectively susceptible against bacitracin and penicillin g. Conclusion: Yogurt and cheese are one kind of probiotic source, made up by using probiotic starter cultures (Lactobacillus spp. and Streptococcus thermophilus) which were identified in this study. Most of the probiotic micro-organisms were resistant against these widely accepted commercial antibiotics. These resistant lactic acid bacteria may transfer their resistance genes to pathogenic microorganisms. It can be a significant cause of concern for human and animal health.
Synthesizing Personality-Dependent Body Postures Using Generative Adversarial Networks

In Personality Computing, one of the major goals is to estimate the personality of an individual by making use of computational techniques. Among the existing models that classify personality traits, the Big-5 factor model is probably the most popular, due to the fact that it provides a compact and complete set of traits describing human personalities. This paper presents an adversarial method that allows the generation of body postures exhibiting the characteristics of a chosen personality trait. The Big-5 and a broader model are analyzed and, in particular, we propose and analyze a technique for generating silhouettes with different levels of extroversion, as well as the aspect of a broader model corresponding to how over (or under) constrained a person is. The proposed approach can be applied in domains such as automatic character animation, marketing, and the broader field of Affective Computing.
CHARLES UNIVERSITY FACULTY OF SOCIAL SCIENCES

The focus of this bachelor’s thesis is fiscal policy of a fragmented government that represents symmetric socio-economic groups. For the analysis of fiscal policy, I develop the model of a dynamic common pool. In the model, the fiscal choices of interest are 1) a level of tax revenue, 2) a level of public productive spending and 3) an intertemporal choice of a level of group’s consumption spending. For each of the fiscal decisions, I describe a distortion associated with the fiscal choice stemming from the decentralized decision making. Next, I examine the impact of a deficit ceiling and fiscal institutions that centralize separate fiscal choices of groups on the three distortions. Due to the symmetry of groups, the analysis abstracts from the efficiency-equity trade-off. Among the key results is that three fiscal frameworks can attain the socially desirable fiscal policy: 1) centralization of the productive spending and the tax revenue combined with a deficit ceiling, 2) centralization of the consumption spending, 3) centralization of a budget size and the productive spending. JEL Classification H30, H50, H60, H62, E61, E62
Comparison of the efficacy of colistin monotherapy and colistin combination therapies in the treatment of nosocomial pneumonia and ventilator-associated pneumonia caused by Acinetobacter baumannii

Objective. To investigate whether there was a difference in mortality, clinical response and bacterial eradication between colistin monotherapy and colistin combination therapies for the treatment of nosocomial pneumonia/ventilator-associated pneumonia (VAP) caused by Acinetobacter baumannii in a medical intensive care unit (ICU). Methods. This retrospective, observational and single-centre study included all patients who were in the medical ICU of Gazi University Medical Faculty Hospital and diagnosed with nosocomial pneumonia/VAP caused by A. baumannii between January 2009 and September 2014. Results. The median age of the 134 patients was 68 years and 53.3% were male. The most common causes of admission were respiratory insufficiency (66.7%) and sepsis/septic shock (54.8%). In patients with nosocomial pneumonia/VAP caused by A. baumannii , on median day 5 of admission, colistin monotherapy was used in 23 (21.6%) patients, a carbapenem combination was used in 80 (59.7%) patients, sulbactam-ampicillin combination was used in 42 (31.4%) patients, tigecycline combination was used in 26 (19.4%) patients, and sulbactam-cefoperazone combination was used in 17 (12.7%) patients. Median ICU stay of the patients was 15.5 days, and 112 (83.6%) patients died. Colistin monotherapy and combination therapies had no superiority over each other in clinical response for the treatment of A. baumannii -associated nosocomial pneumonia/VAP. Mortality was found to be higher in patients receiving the colistin-carbapenem combination (64.3% v. 36.4%, p =0.016). Discharge/day-of-death Sequential Organ Failure Assessment score (odds ratio (OR) 2.017, 95% confidence interval (CI) 1.330 - 3.061) and vasopressor use (OR 9.014, 95% CI 1.360 - 59.464) were independent risk factors for ICU mortality. Conclusion. Colistin monotherapy and combination therapies have no superiority over each other for clinical response in the treatment of nosocomial pneumonia/VAP caused by multidrug-resistant A. baumannii . Colistin-SAM was associated with improved microbiological eradication and colistin-carbapenem combination was associated with increased mortality.
Commonsense inference in human-robot communication

Natural language communication between machines and humans are still constrained. The article addresses a gap in natural language understanding about actions, specifically that of understanding commands. We propose a new method for commonsense inference (grounding) of high-level natural language commands into specific action commands for further execution by a robotic system. The method allows to build a knowledge base that consists of a large set of commonsense inferences. The preliminary results have been presented.
A CycleGAN for style transfer between drum & bass subgenres

In this work, we apply the CycleGAN image-toimage translation framework to Mel-scaled logamplitude spectrograms, successfully realizing audio texture transfer between excerpts from two musically related genres. Such automatic musical transfer could provide music producers and DJs with new creative tools, e.g. to quickly prototype a remix of an existing song in another genre, or to use as an advanced effect during a live performance. We show that meaningful style transfer can be realized using only a limited amount of data and computational resources. A high-quality audio reconstruction is obtained from the generated amplitude spectrogram by simply using the phase of the original audio as an approximation for the phase of the generated spectrogram. This results in a significant quality improvement over traditional phase reconstruction methods.
The Science and Fiction of the Ultimate Display

In 1965, Ivan Edward Sutherland,1 who is one of the godfathers of computer graphics and creator of the groundbreaking computer graphical user interfaceSketchpad,wrote his wonderful essay about what he termed the Ultimate Display. In this famous essay, he describes his vision of a futuristic display, which allows users to immerse themselves into computer-generated environments via novel types of multimodal input and output devices. He concludes his essay with the following sentences:
Efficient Domain-Adaptive Word Segmentation with Larger Context and Co-Training

Word segmentation is very important to many natural language processing tasks. In this paper we present a new word segmentation approach that efficiently and effectively combines word and character level larger context features with local features typically used in the CRF/MaxEnt models. We compare several feature and model combination strategies on multiple word segmentation tasks. Additionally, we propose a co-training method to train domain-specific LMs from unlabeled in-domain data. Thanks to the low cost of LM training (compared with the CRF/MaxEnt model training), it enables rapid development of domain-adaptive word segmenters with superior performance, achieving or outperforming stateof-the-art performances on several Chinese word segmentation tasks. When applying the improved segmenter to statistical machine translation, we observe consistent improvement in Bleu scores on multiple domain English-Chinese translation test sets.
Comparative proteomics analysis of a novel γ-radiation- resistant bacterium wild-type Bacillus megaterium strain WHO DQ973298 recovering

ch ive of S ID Abstract In order to examine radiation-induced proteins in an extremely radio-resistant bacterium, it became possible to perform comparative proteomic analysis on radio-resistance Bacillus megaterium WHO as a wildtype strain. Variation in cellular proteins profiles of the Bacillus megaterium WHO after 5 KGy γ-irradiation were analyzed by two-dimensional poly acryl amide gel electrophoresis and silver staining. Although many spots were decreased in density, our primary focus was on the induced spots. The expression level of 48 protein spots showed significant increase under radiation stress. Of these spots, 45 were identified with MALDI TOF-TOF (peptide mass fingerprinting using matrix-assisted laser desorption/ionization time of flight mass spectrometry) after tryptic in-gel digestion. These proteins exhibited various interesting cellular functions including: (i) transcription (ii) translation (iii) signal transduction (iv) carbohydrate transport and metabolism (v) energy production and conversion (vi) nucleotide transport and metabolism (vii) posttranslational modification, protein turnover and chaperones (viii) DNA replication, recombination and repair (ix) bacterial general stress response and (iix) different and some still unknown functions. The appearance of four spots (24, 27, 30 and 36) in response to γ-irradiation was the distinct result of present study. These proteins appear to mediate processes related to ionizing radiation resistance and clearly demonstrate that Bacillus megaterium WHO, significantly has mechanisms contribute to the ionizing radiation resistance.
The FEM-SRBCI Method for the Solution of Scalar Scattering Problems

In this paper the authors propose a modified version of the hybrid FEM-RBCI method to solve scalar scattering problems, such as 2D electromagnetic and 3D acoustic ones. In the modified method, called FEM-SRBCI, the integration surface coincides with the truncation one, so that the integral equation becomes singular.
Verification of Ship's Trajectory Planning Algorithms Using Real Navigational Data

: The paper presents results of ship ʹ s safe trajectory planning algorithms verification. Real navigational data registered from a radar with an Automatic Radar Plotting Aid on board the research and training ship Horyzont II were used as input data to the algorithms. The algorithms verified in the presented research include the Ant Colony Optimization algorithm (ACO), the Trajectory Base Algorithm (TBA), the Visibility Graph ‐ search Algorithm (VGA) ant the Discrete Artificial Potential Field algorithm (DAPF). Details concerning data registration and exemplary results obtained with the use or real navigational data are introduced and summarized in the paper. Presented results prove the applicability of proposed algorithms for solving the ship ʹ s safe trajectory planning problem.
Age-Scaling for the Uppermost Clayey Layer in the 1,400 m -Core Sample from Lake Biwa -A Preliminary Study-

Age-scaling is attempted using the vertical profile of bulk density of the uppermost clayey layer (240-250 m in thickness) in a new deep core sample from Lake Biwa. At first, the empirical porosity-depth relation is physically examined on the basis of a consolidation theory. The vertical profile of bulk density in the upper 180 m of the clayey layer is approximately described by the empirical bulk density-depth relation, which is derived from the porosity-depth relation. By applying the age by fission-track dating to the age-depth relation analytically derived from the bulk density-depth relation, an average sedimentation rate in the upper clayey layer is estimated to be 0.033 g•cm-2•yr-i and then the age-depth curve is obtained for the upper clayey layer. The age-depth curve in the lower clayey layer from 180 to 240 m in depth is obtained under the assumption that the sedimentation rate is constant through the whole clayey layer. The result shows that the age of the base of the clayey layer at about 240 m in depth is estimated to be 0.63 Ma.