Miracle-dz/UniFAR-FTUs huggingface dataset:
Climbing and Walking Robots

In undergoing this life, many people always try to do and get the best. New knowledge, experience, lesson, and everything that can improve the life will be done. However, many people sometimes feel confused to get those things. Feeling the limited of experience and sources to be better is one of the lacks to own. However, there is a very simple thing that can be done. This is what your teacher always manoeuvres you to do this one. Yeah, reading is the answer. Reading a book as this climbing and walking robots and other references can enrich your life quality. How can it be?
Investigation on Using Twitter Communication During a Conference

A Twitter hashtag was announced at a recent educational conference. Then, online monitoring of educators who tweeted with a hashtag was executed to identify an effective strategy to enhance the use of Twitter as a part of the conference. Emerged Tweets were collected by using the Twitter Application Programming Interface and analyzed by using the social graph software NodeXL. Collected data were compared with our preceding study in 2014. Also, an extensional investigation to merge data of existing personal Tweets experience was executed to provide potential online connections. As a result, authors clarified differences of Twitter communication caused by different strategy of announcement. Here, session announcement led to communicative Tweets and official announcement led to commemorative Tweets.
Induced and primed defence responses of Fragaria vesca to Botrytis cinerea infection

Strawberry is a high-value crop that suffers huge losses from diseases such as grey mould caused by the necrotrophic fungal pathogen Botrytis cinerea. Pesticides are heavily used to protect the strawberry crop, which raises environmental and human health concerns and promotes the evolution of pesticide resistant strains. Upregulating or priming the plants’ defences may be a more environmentally sustainable way of increasing disease resistance. Using Fragaria vesca as a model for the commercially grown octaploid strawberry Fragaria × ananassa, we investigated the transcriptional reprogramming of strawberry upon B. cinerea infection and the effectiveness of four priming chemicals in protecting strawberry against grey mould. First, we found that the transcriptional reprogramming of strawberry upon B. cinerea infection overlapped substantially with the transcriptome responses induced by Phytophthora cactorum (Toljamo et al., 2016), including the genes involved in jasmonic acid (JA), salicylic acid (SA), ethylene (ET) and terpenoid pathways. Furthermore, we investigated the effectiveness of previously identified priming chemicals in protecting strawberry against B. cinerea. The level of upregulated or primed resistance depended on the priming chemical itself (β-aminobutyric acid (BABA), methyl jasmonate (MeJ), (R)-β-homoserine (RBH), prohexadione-calcium (ProCa)) and the application method used (foliar spray, soil drench, seed treatment). Overall, RBH effectively primed strawberry defences against B. cinerea, whereas BABA and ProCa were not effective and MeJ showed mixed effects. Our results not only identify ways to effectively upregulate or prime strawberry defences against B. cinerea, but also provide novel insights about strawberry defences that may be applied in future crop protection schemes.
Context Sensitive Interprocedural Pointer Analysis

Interprocedural pointer analysis plays an important role in parallelizing C program. In this paper, a new approach to how to propagate point to information accross functions is introduced, detailed solutions to many important problems that exist in interprocedural pointer analysis are also presented. Based on these ideas, a context sensitive interprocedural pointer analysis algorithm, which has been implemented in Agassiz, an analyzing tool for C program, is introduced. Experimental results illustrate that the algorithm is effective.
Randomly Encryption Using Genetic Algorithm

SUMMARY In this research work a genetic algorithm utilized to establish an approach for random key to each letter in text massage encoding/ decoding. The test results indicated that using this approach achieved good performance to hide text massage that because choosing random key by genetic algorithm gives the approach difficulties that can not easily discover or break the key. Every character in text message encoded by random key, the highest value is 128 (i.e. each character except 128 probabilities).
Microelectromechanical Systems-Based Neurotools for Non-Invasive Ultrasound Brain Stimulation

While the number of people suffering from brain disorders continues to increase in the modern aging society, it is still a challenge to develop effective treatments for many of these diseases. For example, the risk of Alzheimer’s disease (AD), an age-dependent disorder, doubles every five years after the age of 65. However, there is still no medication to treat AD. While pharmaceutical means offers the highest patient compliance, it is difficult to discover an effective drug for brain disorders because of the existence of the brain-blood barrier (BBB) within the brain capillary endothelia [1]. BBB, a tight junction that exists between the blood vessel and extracellular space of the brain, allows passage of only a fraction of small-molecule drugs. In addition to this physical limitation, the pharmacological approach suffers from drug resistance, sideeffects, tolerance, and dependence, which further complicates the Microelectromechanical Systems-Based Neurotools for Non-Invasive Ultrasound Brain Stimulation
LongAxis: a MATLAB-based program for 3D quantitative analysis of epithelial cell shape and orientation

Epithelial morphogenesis, a fundamental aspect of development, generates 3-dimensional tissue structures crucial for organ function. Underlying morphogenetic mechanisms are, in many cases, poorly understood, but mutations that perturb organ development can affect epithelial cell shape and orientation – difficult features to quantify in three dimensions. The basic structure of the eye is established via epithelial morphogenesis: in the embryonic optic cup, the retinal progenitor epithelium enwraps the lens. We previously found that loss of the extracellular matrix protein laminin-alpha1 (lama1) led to mislocalization of apical polarity markers and apparent misorientation of retinal progenitors. We sought to visualize and quantify this phenotype, and determine whether loss of the apical polarity determinant pard3 might rescue the phenotype. To this end, we developed LongAxis, a MATLAB-based program optimized for the retinal progenitor neuroepithelium. LongAxis facilitates 3-dimensional cell segmentation, visualization, and quantification of cell orientation and morphology. Using LongAxis, we find that retinal progenitors in the lama1−/− optic cup are misoriented and slightly less elongated. In the lama1;MZpard3 double mutant, cells are still misoriented, but larger. Therefore, loss of pard3 does not rescue loss of lama1, and in fact uncovers a novel cell size phenotype. LongAxis enables population-level visualization and quantification of retinal progenitor cell orientation and morphology. These results underscore the importance of visualizing and quantifying cell orientation and shape in three dimensions within the retina.
Dynamic QoS on SIP Sessions Using OpenFlow

—With the increase in Internet bandwidth demand and emergence of new multimedia internet applications, new technologies are needed to guarantee the Quality of Service (QoS). Traditionally, QoS has been enforced using predeﬁned Service Level Agreements (SLAs), which lack dynamic adaptability and ﬂexibility. This article introduces an implementation leveraging the Software Deﬁned Networking (SDN) protocol OpenFlow to dynamically adapt QoS to the network usage by analyzing Session Initiation Protocol (SIP) session negotiations. The implementation is veriﬁed on real world OpenFlow-enabled switches with different types of trafﬁc QoS requirements.
Potential Pathogenic Bacterial Contaminants of Doors Handles and Computers Keyboards in the Faculty Environment

The predominance of bacteria on door handles and computers keyboards in Faculty of Science, University of Kufa in Najaf Governorate was assessed. One hundred samples were collected and cultured for bacterial identification. The occurrence of positive samples was as the following; 95% with both of toilets doors handles and computers keyboards, 90% in laboratories doors handles, 80% in Classrooms doors handles and 75% in offices doors handles. The current study demonstrate a high prevalence rate of aerobic bacteria on different doors handles and computers keyboards in Faculty of Science, University of Kufa. The current study gave a clear view about the microbial contamination of door handles and computer keyboards and the possibility to be one of the main sources of infection in the university environment.
Animal performance, carcass traits and meat quality of F1 Angus-Nellore steers and heifers slaughtered in feedlot with a similar carcass finishing

The objective of this study was to evaluate the animal performance, carcass characteristics and meat quality of F1 Angus-Nellore steers and heifers, feedlot finished with high degree of subcutaneous fat deposition. The experimental design was completely randomized, with two treatments (steers and heifers) and 11 replicates (animals). Twenty-two bovines with initial age of 18 months of age, 11 steers and 11 heifers, with initial body weight of, respectively, 354.86±43,66 and 353.82±39,80 kg were used. The animals were finished in confinement (114 days) with a diet containing 200 g kg-1 of corn silage and 800 g kg-1 of concentrate composed mainly of corn grain and soybean meal. The dry matter intake (9.42 vs. 9.24 kg day-1), mean daily weight gain (1.44 vs. 1.38 kg day-1), feed conversion (6.49 vs. 7.05 kg of dry matter kg-1 of weight gain), hot carcass weight (284.62 vs. 268.16 kg) and the subcutaneous fat thickness (12.09 vs. 13.05 mm) were similar between steers and heifers (respectively). The hot carcass yield was higher (P < 0.05) for steers (58.14 vs. 55.53%). The steers presented a higher proportion of the forequarter (39.26 vs. 37.53%), while heifers had a higher proportion of pistol cut (49.87 vs. 48.85%). The meat of steers showed darker color (P < 0.05). The shear force of the meat and marbling score did not differ between sexual conditions, with mean values of 5.43 kgf cm-2 and 10.14 points (median), respectively. Except for the proportion of primary cuts, carcass yield and meat color, F1 Angus-Nellore heifers present similar animal performance, carcass and meat characteristics in relation to steers, feedlot finished with high degree of subcutaneous fat deposition.
An adaptive block-based fusion method with LUE-SSIM for multi-focus images

Because of the lenses’ limited depth of field, digital cameras are incapable of acquiring an all-in-focus image of objects at varying distances in a scene. Multi-focus image fusion technique can effectively solve this problem. Aiming at the block-based multi-focus image fusion methods, the problem that blocking-artifacts often occurs. An Adaptive block-based fusion method based on lifting undistorted-edge structural similarity (LUE-SSIM) is put forward. In this method, image quality metrics LUE-SSIM is firstly proposed, which utilizes the characteristics of human visual system (HVS) and structural similarity (SSIM) to make the metrics consistent with the human visual perception. Particle swarm optimization(PSO) algorithm which selects LUE-SSIM as the object function is used for optimizing the block size to construct the fused image. Experimental results on LIVE image database shows that LUE-SSIM outperform SSIM on Gaussian defocus blur images quality assessment. Besides, multi-focus image fusion experiment is carried out to verify our proposed image fusion method in terms of visual and quantitative evaluation. The results show that the proposed method performs better than some other block-based methods, especially in reducing the blocking-artifact of the fused image. And our method can effectively preserve the undistorted-edge details in focus region of the source images.
Deep Neural Networks for Dynamic Visual Data

Given monocular video of people performing daily tasks our objective is to estimate the 3D positions of 32 given joints associated to the human skeleton. Due to the success of deep convolutional networks in image classification, image segmentation and activity recognition we propose to estimate 3D joint positions from video using deep convolutional networks. The modeling is carried out within the framework of convolutional neural networks, and based on the Caffe Deep learning Network. We use the architecture and the pre-trained weights of the convolutional layers of VGG-16, network developed by the Oxford Visual Geometry Group. The effect of different feature extraction architectures on model’s accuracy was studied by varying the number of pooling layers. A decreased number of pooling layers did not improve the accuracy of the model. We also studied the effect of varying the output dimension by varying the number of joints estimated simultaneously. Our findings indicate that increasing the number of estimated joint positions does not change model accuracy. Finally the effect of incorporating temporal dependencies by means of Long-Short-Term Memory (LSTM) units in the model was studied. (Less)
Germination timing and chilling exposure create contingency in life history and influence fitness in the native wildflower Streptanthus tortuosus

The timing of life history events, such as germination and reproduction, influences ecological and selective environments throughout the life cycle. Many organisms evolve responses to seasonal environmental cues to synchronize these key events with favourable conditions. Often the fitness consequences of each life history transition depend on previous and subsequent events in the life cycle. If so, shifts in environmental cues can create cascading effects throughout the life cycle, which can influence fitness, selection on life history traits, and population viability. We examined variation in cue responses for contingent life history expression and fitness in a California native wildflower, Streptanthus tortuosus, by manipulating seasonal germination timing in a common garden experiment. We also manipulated chilling exposure to test the role of vernalization cues for seasonal life history contingency. Plants germinating early in the growing season in autumn were more likely to flower in the first year and less likely to perennate than later germinants in spring. First‐year reproduction and overall fitness was the highest for autumn cohorts. Sensitivity analyses showed that optimal germination date depended on survival beyond the first year and fruit production in later years. Experimental chilling exposure induced first‐year flowering in spring germinants, demonstrating that seasonal life history contingency is mediated by a vernalization requirement. This requirement reduced fitness of spring germinants without increasing survival or later fecundity and may be maladaptive. Such mismatches between cues and fitness may become more pervasive as predicted climate change reduces exposure to chilling, shortens growing seasons, and increases severity of summer drought. Synthesis. Shifts in germination timing in seasonal environments can cause cascading effects on trait expression and fitness that extend beyond the first year of the life cycle. Climate change is likely to shift seasonal conditions, influencing such life history contingency, with significant impacts on trait expression, fitness, and population persistence. These shifts may cause strong natural selection on cue sensitivity and life history expression, but it is an open question whether populations have the potential for rapid adaptation in response to this selection.
Patient condition-based medicine inventory management in healthcare systems

Abstract Existing inventory models for medicines in the healthcare domain presume demand as a random variable independent of any environmental factors. Conversely, various randomly varying factors, such as changing patient condition, uncertain reaction of the patient to treatment, uncertain length of stay and transition from one type of hospital care unit to another at different stages of treatment, may have a significant impact on the demand of medicines. In dealing with such a problem, a Markov Decision Process model is developed for determining the optimal inventory control policy for medicines under stochastic and non-stationary demand scenario. The required data are collected from a multispecialty hospital situated in urban India. Solving the problem by a stochastic dynamic programming approach, the results as obtained demonstrate that the proposed inventory model using the knowledge of patient condition-based medication demand characteristics has a significantly lower total inventory-related cost than those based on historical daily demand without consideration of patient condition characteristics. This modelling may help optimize and support the functioning of any hospital system more effectively.
Network components and protocols, network types and network management security

If there are 4 bytes (32 bits) in an IPv4 address [10], there will be 22 addresses, which computes as 4, 294, 967, 296. This seems a lot, but as soon as the vision of an internet-connected computer for every human being on earth comes true, we have already run out of addresses. This is made even worse by the fact that IP addresses are not assigned on an individual basis, but in entire networks, granting institutions more addresses than they actually use and using a lot of addresses for network addressing and broadcasting. In addition, there are IP address ranges which are reserved for various uses, rendering them unavailable for host addressing.
A rare case of childhood polyarteritis nodosa successfully treated with etanercept

Childhood Polyarteritis Nodosa (CPAN) a rare and often fatal disease tends to be more common in individuals of Asian descent. Previously it was referred to as Infantile PAN. Polyarteritis Nodosa (PAN) is a systemic autoimmune vasculitis characterized by necrotizing inflammatory lesions of the medium-sized and small muscular arteries, preferentially at vessel bifurcations, resulting in formation of microaneurysms, aneurysmal ruptures with hemorrhage, thrombosis and consequently organ ischemia or infarction. It usually appears in middle or older age without gender predilection. PAN shows variety of symptoms, including general symptoms, neurological, skin, renal and gastrointestinal involvement. In particular skin lesions characterized by multiple firm waxy papules, subcutaneous nodules, livedo reticularis, ulcers and gangrene are observed in 25%-60% of patients with PAN. The etiology of systemic vasculitis is yet unknown. However, dysregulation and/or enhanced expression of pro-inflammatory substances may be involved in pathogenesis of these diseases. Tumour necrosis factor (TNF) alpha is a pro-inflammatory cytokine produced primarily by cells of macrophage-monocyte lineage which may directly participate in vascular inflammation as well as in endothelial cell death via apoptosis. In addition, TNF-alpha may play a role in neutrophil priming inducing membrane expression of Proteinase-3 or Myeloperoxidase which are subsequently recognized by ANCA-associated vasculitis (AAV). Author report a case of 14 months old male child with complaints of fever, gangrenous changes of ear lobes, tip of nose and toes, seizures, altered sensorium and hypertension. Initially Injectable Methyl Prednisolone pulse therapy was started followed by oral Prednisolone. After initiation of Etanercept treatment, his symptoms improved dramatically. Sensorium improved, skin ulcers healed faster, and gangrenous changes were arrested, fever subsided and child started accepting oral feeds.
EVALUATION OF MALNUTRITION STATUSES IN SYSTOLIC HEART FAILURE PATIENTS

Aims: The aim of this study is to determine the malnutrition statuses of patients with systolic heart failure in Trakya University Hospital and Edirne Sultan 1st Murat State Hospital. Methods: Mini Nutritional Assessment was used to determine the patients’ malnutrition statuses. In addition, patients’ transthoracic echocardiography results, biochemistry tests, hemograms, medications and habits were evaluated with patients’ nutritional scores. One-way ANOVA and Kruskal-Wallis tests were used for comparing the results and Pearsonχ2 test and Fischer’s exact test were used to obtain categorical data. Results: The total number of subjects in the study was 66 (61 patients from Trakya University Hospital; 5 patients from Edirne Sultan 1st Murat State Hospital). The mean age of all subjects was 65.3 ± 11.1. Out of all patients, 17 of them were female, while 49 of them were male. The mean Mini Nutrition Assessment score was 21.9 ± 4.7. In total, 34 patients had an adequate nutritional status, 25 patients were at risk of malnutrition and 7 patients were malnourished. Conclusion: Although malnourished patients were detected, well – nourished patients were higher. Therefore, it could be said that patients with heart failure are conscious of their health and diet. It is crucial for the health care providers to maintain giving advices on healthy living and nutrition to keep this elderly population well–nourished.
Study environment in the context of HEI study quality assurance: Case study at Daugavpils University (Latvia)

In recent years the system of higher education quality assurance has undergone several essential changes: a greater emphasis is being laid on the qualification framework, on student-centered learning and study results, the development of the teaching staff, active students’ participation in the assessment of the study process. The given study is oriented towards studying students’ opinions about the quality assurance of a study process at Daugavpils University (DU), Latvia. The participants of this study were 60 students from 12 master and doctoral study programs at Daugavpils University. The analysis of structured interviews with the students made it possible to identify the typical characteristic features of DU internal quality assessment. The research showed that students assess highly lecturers’ personal qualities (attitude to their profession, personal interest in students’ success, empathy, striving for cooperation) and their professional qualities (knowledge of the subject, didactic and communicative competence, and ability to get the feedback from students as well). To promote the cooperation between the students and the academic staff of DU, it is useful to practice trans-disciplinary out-of-study forms, which contribute to a deeper understanding of the study content, of topicalities in global education and possibilities of synergetic thinking in cooperation with students and lecturers. Keywords: quality assurance, higher education institution
Self-balance control of two-wheeled robot based on Skinner's operant conditioned reflex

For the movement-balance control of a two-wheeled self-balancing robot,we adopt the autoregression neuralnetwork-learning-algorithm based on Skinner's operant conditioned reflex theory as the learning mechanism,and use the autoregression neural-network to approximate the critic function in the optimization of behavioral decision,so that a twowheeled robot can obtain self-learning skills like a human being or an animal through studying and training in a model-free external environment to realize the movement balance control.Two simulation experiments are separately performed in the states with and without disturbance,respectively.The comparison of the respective results shows that learning mechanism with Skinner's operant conditioned reflex has a faster control skill in self-balance and a high robustness.This exhibits great research significance in theory and practice.