Miracle-dz/UniFAR-FTUs huggingface dataset:
The Screening of the Analytical Biochemistry Researches Involved In Plant Response to Stress Conditions

Volume 1 • Issue 7 • 1000e122 Biochem Anal Biochem ISSN:2161-1009 Biochem, an open access journal “Every species of plant is a law unto itself. Henry A. Gleason, The Individualistic Concept of the Plant Association, Bulletin of the Torrey Botanical Club, 1926, 53, 26”. Considering that the global population is expected to increase, the removal of the causes that lead to the decrease of the vegetable production is vital. One of the main causes that diminish the quality of vegetables is represented by the abiotic stress factors. The analytical biochemistry researches were usually focused on the support of the reduction activity of these factors (improvement) [1], by studying the biochemical processes involved in the plant reaction at stress conditions, the development of methods and selection criteria with high efficiency in order to identify genetic differences [2], to improve the resistance to low and high temperatures, drought, humidity excess, salinity and soil acidity. In order to achieve this goal, it is required the analytical biochemistry researches to obtain conclusive information regarding the fundamental processes of the plant life by:
A Multi Agent System to Manage Ideas during Collaborative Creativity Workshops

During creativity workshops, participants and creativity quizmasters work together in a collaborative way to generate new ideas. They will follow the creativity process based on different phases: discover the topic, apply the creativity methods, generate ideas, formalize ideas, share and evaluate their ideas and select innovative ideas. Up to now, the creativity workshops use simple tools like paperboards, post-its or idea sheets to capture their ideas. With such tools they don’t have the possibility to evaluate, compare, share and select their ideas. In this paper we describe the architecture of a multi agent system called CIMAS (Creativity Ideas Managed by Agent Systems) which helps the participants in a creativity workshop t o generate, capture, collect and select their ideas.
Four-frequency radiowave propagation measurements of the indoor environment in a large metropolitan commercial building

Time delay spread and signal level measurements were made in a large commercial metropolitan building at 850 MHz, 1.9 GHz, 4.0 GHz, and 5.8 GHz. No significant statistical difference in time delay spread was found at the four frequencies. The maximum RMS time delay spread at the four frequencies did not exceed 120 ns. Attenuation was very nearly the same at the four frequencies, within the limits of the experiment's accuracy. The variation of the received signal level with distance could be characterized by free space propagation together with attenuation per unit distance. This attenuation coefficient was about the same at the four frequencies. The RMS fractional deviation was found to be a useful measure of the spread of the data. <<ETX>>
Robust aerodynamic optimization strategies for rotor blades morphing airfoils

An aerodynamic optimization method is developed to define robust shapes for morphing airfoils for helicopter blades. The morphing strategy consists of a conformable camber airfoil which changes over the period of rotation of the blade to cope with the variable flow conditions encountered in forward flight. A robust or uncertainty-based approach is used to compute a reliable morphing airfoil, providing a low variance with respect to uncertainty affecting the operating conditions. In order to assess the effectiveness of the robust method, several optimization problems are performed, from a classical two-point drag minimization with lift coefficient constraint to a robust morphing camber optimization. The results of the optimization problems are compared and discussed to highlight the features of the robust approach.
Three-Layered Draw-Attention Model for Communication Robots with Pointing Gesture and Verbal Cues

When we talk about objects in the environment, we indicate to an observer which object is currently under consideration using pointing gesture and the reference terms such as“this”and“that”. These behaviors play an important role in a natural interaction between us. It is because reference terms and pointing gesture can quickly inform the observer of an indicated object location. In this research we propose the 3-layered draw-attention model for communication robots with pointing gesture and verbal cues. The 3-layered model we propose consists of 3 sub-models, Reference Term Model (RTM), Limit Distance Model (LDM) and Object Property Model (OPM) . RTM is the model that decide the appropriate reference term using functions that is constructed by an analysis of human behavior. LDM is the model that decide whether or not the model use the object property with reference term. OPM is the model to decide the appropriate property of the indicated object comparing object properties each other. The 3-layered model was implemented as attention drawing system in the communication robot named, Robovie, and was confirmed its effectiveness.
Parameter analysis and synthesis for MPEG4 facial animation

In MPEG-4, 68 facial animation parameters (FAP) are defined to animate a facial object. Most of the previous facial animation reconstruction systems were focused on synthesizing natural-looking facial animation from manually or automatically generated FAP, while parameter analysis systems were focused on analysis of 3D motion from a 2D image sequence of a natural video scene. But these are still two separate research fields. A real visual communication system can be established only when these two fields are merged seamlessly. Selection of the subset of FAP and concealment of parameter distortion are the main issues in such communication systems. The extraction of a full set of FAP from image analysis is nearly impossible and unnecessary. Thus a practical selection of a sufficient subset of FAP is essential for an analysis-synthesis MPEG-4 visual communication system. On the other hand, the distortion of parameters extracted from a natural video scene by video analysis always exists. A concealment algorithm for such parameter distortions in facial animation synthesis is proposed in this paper.
SECURING ANONYMOUS AND CONFIDENTIAL DATABASE THROUGH PRIVACY PRESERVING UPDATES

Typically for economic gain, someone wrongfully obtains and uses another person's personal data in a way that involves fraud or deception. So Privacy of database is a necessity. In this paper we propose a system of updating the confidential database with preserving the privacy of it. Anonymization means identifying information is removed from original data to protect personal or private information. Data anonymization can be performed in different ways but in this paper k-anonymization approach is used. Suppose one person X having his own kanonymous database and needs to determine whether database is still k-anonymous if tuple inserted by another person Y. For some applications (for example, Patient‟s record), database needs to be confidential, so access to the database is strictly controlled. The confidentiality of the database managed by the owner is violated once others have access to the contents of the database. Thus, problem is to check whether the database inserted with the tuple is still k-anonymous without letting the owner X and others (Y) to know the content of the tuple and database respectively. In this paper, we propose two methods solving this problem on suppression and generalization based k-anonymous and confidential database. Beside we are dealing with the case of malicious parties by the introduction of non-colluding third party.
Structural variation discovery: the easy, the hard and the ugly

Comparison of human genomes shows that along with single nucleotide polymorphisms and small indels, larger structural variants (SVs) are common. Recent studies even suggest that more base pairs are altered as a result of structural variations (including copy number variations) than as a result of single nucleotide variations or small indels. It is also been known that structural variations can cause a loss or gain of functionality and can have phenotypic effects. Recently, with the advent of high-throughput sequencing technologies, the field of genomics has been revolutionized. The realization of high-throughput sequencing platforms now makes it feasible to detect the full spectrum of genomic variation (including SVs) among many individual genomes, including cancer patients and others suffering from diseases of genomic origin. In addition, highthroughput sequencing technologies make it possible to extend the scope of structural variation studies to a point previously unimaginable as exemplified with the 1000 Genomes Project. In this dissertation we consider the structural variation discovery problem using high-throughput sequencing technologies. We provide combinatorial formulations for this problem under a maximum parsimony assumption, and design approximation algorithms for them. We also extend our proposed algorithms to consider conflicts between potential structural variations and resolve them. It should be noted that our algorithms are able to detect most of the well-known structural variation types including small insertions, deletions, inversions, and transpositions. Finally we extend our algorithms to allow simultaneous discovery of structural variations in multiple genomes and thus improve the final comparative results between different donors.
Prevalence and Cardiovascular Health Impact of Family History of Premature Heart Disease in the United States: Analysis of the National Health and Nutrition Examination Survey, 2007–2014

Background Because family history is a known risk factor for heart disease, it is important to characterize its public health impact in terms of population prevalence of family history of heart disease, the burden of heart disease attributable to family history, and whether family history interacts with modifiable risk factors for heart disease. Methods and Results We used population data from NHANES (the National Health and Nutrition Examination Survey [2007–2014]) to measure the association of self‐reported family history of premature heart disease (FHPHD) with cardiovascular disease (n=19 253) and to examine the association between cardiovascular health metrics and FHPHD (n=16 248). Using logistic regression and multivariable adjustment, family history odds ratios were 5.91 (95% CI, 3.34–10.44) for ages 20 to 39, 3.02 (95% CI, 2.41–3.79) for ages 40 to 59, and 1.87 (95% CI, 1.54–2.28) for age ≥60 for cardiovascular disease. The prevalence of cardiovascular disease for the population with a FHPHD (15.72%; 95% CI, 13.81–17.64) was more than double the prevalence of cardiovascular disease for those without a family history (6.25%; 95% CI, 5.82–6.69). Compared with participants with optimum cardiovascular health, the prevalence ratio for FHPHD was 1.98 (95% CI, 1.40–2.79) for those with inadequate cardiovascular health. Conclusions Millions of people who are at high risk of having cardiovascular disease could be identified using FHPHD. FHPHD can become an important component of public health campaigns that address modifiable risk factors that plan to reduce the overall risk of heart disease.
Folic acid consumption based on the theory of planned behaviour in pregnant women

Abstract Folic Acid reduces the risk of neural tube defects. This study was aimed to investigate the consumption of folic acid to prevent deficiency anaemia based on the theory of planned behaviour on pregnant women in Neyshabur, Iran. This study included 180 pregnant women, who were gathered from 12 healthcare centres in the city of Neyshabur, Iran in 2018. Using a questionnaire and blood lab exam (folat) were measured and analysed. The average rates of knowledge, attitude, perceived behavioural control, intention, behaviour in the education group were meaningfully increased (p value < .05); however, these changes were not meaningful in the control group (p value > .05). Also, no statistically meaningful difference was obtained in subjective norm between the groups after the intervention (p = .924). It is suggested that folic acid supplementation promotion workshops should be held in health centres with the aim of preventing folic acid deficiency anaemia. Impact statement What is already known on this subject? The results of this study showed that by using education based on the theory of planned behaviour that emphasises the important psychological factors of behaviour or change, folic acid can be consumed in pregnant women. That women receive adequate and proper knowledge, along with a positive attitude toward taking folic acid, and feel that taking folic acid is at their discretion in terms of environmental factors (facilities and barriers), increases intent to use folic acid. What do the results of this study add? The results of this study also showed that the amount of folic acid intake during pregnancy increased by pregnant women and anaemia decreased. What are the implications of these findings for clinical practice and/or further research? The study showed the importance of the role of education based on theory of planned behaviour in consumption promoting folic acid.
Bilateral Nephrectomy for Adult Polycystic Kidney Disease Does Not Affect the Graft Function of Transplant Patients and Does Not Result in Sensitisation

Background Native nephrectomy in Adult Polycystic Kidney Disease (ADPKD) patients is a major operation with controversy related to timing and indications. We present our single centre experience in transplanted patients and future candidates for transplantation. Methods Retrospective analysis from an anonymised database of bilateral nephrectomies for ADPKD patients. Results were reported as median, range, and percentage. Differences between groups were tested using ANOVA and t-test. Surgery was performed between January 2012 and July 2018. Results Thirty-three patients underwent bilateral native nephrectomy for APKD. 18 had a functioning kidney transplant (transplant group, 55%) while 15 patients were on dialysis (dialysis group, 45%) at the time of surgery; 8 patients of the latter group (24% of the whole cohort) were eventually transplanted. 53% were males, with median age of 55 years (27-71). Indications to surgery were the following: space (symptoms related to the size of the native kidneys or need to create space for transplantation) (59%), recurrent cyst infection (36%), haematuria (15%), pain (24%), and weight loss associated with cystic alteration on imaging (3%). In the transplant group, postoperative kidney function was not affected; haemoglobin serum levels significantly dropped in the whole cohort: 121 (82-150) g/L, versus 108 (58-154) g/L (p<0.001), with 14 patients being transfused perioperatively. Elevation of anti-HLA antibodies was noted in one female patient on dialysis, with no change in DSA levels and no rejection after transplant for all 26 transplanted patients. Median postoperative length of hospital stay was 9 days (6-71). One patient died (3%) after six months. Median follow-up for the whole cohort was 282 days (13-1834). Histopathological examination revealed incidental renal neoplasms in five cases (15%): 1 pT1a papillary renal cell carcinoma and 4 papillary adenomas. Conclusions Native nephrectomy for ADPKD could be safely performed in case of refractory symptoms, suspect of cancer or to create space for transplantation. It does not affect graft function or DSA status of transplanted patients or the prospect of transplantation of those on the waiting list.
Rural transport and climate change in South Africa: Converting constraints into rural transport adaptation opportunities

This study explored the implications of climate change for rural transport in South Africa. The article was seeking to convert existing rural transport adaptation constraints into rural transport adaptation opportunities. Challenges and constraints to rural transport adaptation transitions were also explored. The research methodology adopted was a review of the literature and references to case study examples. Then a four-stage multi-analytical approach was used to unravel and decode the major rural transport and climate change issues in South Africa. Consequent to the analysis, a framework of analysis for strongly integrating climate change to rural transport interventions was advanced. The findings indicated the existing rural transport adaptation measures and options in South Africa. The article concludes by highlighting the complexity and intricate dynamic nature of interactions, networks and systems that impact rural South Africa. Recommendations revolve around properly situating rural transport and climate change within the wider rural development challenges and matters facing contemporary South Africa.
How do physicians and nurses in family practice describe their care for patients with progressive life-limiting illness? A qualitative study of a ‘palliative approach’

Abstract Aim: To explore how a palliative approach to care is operationalized in primary care, through the description of clinical practices used by primary care clinicians to identify and care for patients with progressive life-limiting illness (PLLI). Background: Increasing numbers of people are living with PLLI but are often not recognized as needing a palliative approach to care. To meet growing needs, generalists such as family physicians will need to adopt a palliative approach to care in their own setting. Practical descriptions of a palliative approach in non-specialist settings have been lacking. Methods: We conducted a qualitative descriptive study design using in-depth semi-structured interviews with 11 key informant participants (6 physicians, 3 nurse practitioners, 1 registered nurse, and 1 registered practical nurse) known to be providing comprehensive care to patients with PLLI in family practices in Ontario, Canada. We asked about their approach to identifying patients with PLLI and the strategies used in their care. We employed content analysis to develop themes. Findings: Participants identified patients by functional decline, change in needs, increased acuity, and the specifics of a condition/diagnosis. Care strategies included concretizing commitment to care, eliciting goals of care, shifting care to the home, broadening team members including leveraging the support of family and community resources, and shifting to a ‘proactive’ approach involving increased follow-up, flexibility, and intensity. Conclusion: Primary care providers articulated strategies for identifying and providing care to patients with PLLI that illuminate an upstream approach tailored to their setting.
Inertial Navigation Versus Pedestrian Dead Reckoning: Optimizing the Integration

Man motion is one of the most challenging applications for a navigation system. A common approach to integrated pedestrian navigation (IPN) is to integrate GNSS user equipment and inertial sensors with magnetometers and a barometric altimeter. However, there are a number of different approaches to the use of the inertial sensors, which may be characterised by • The number and quality of inertial sensors to be used; • Whether to mount them on the shoes or the body; • Whether to use conventional inertial navigation algorithms, supported by zero velocity updates (ZVUs), pedestrian dead reckoning (PDR) or both. This paper discusses the trade-offs, summarises previous work and then compares the performance of two systems. IPN system A uses a body-mounted IMU with inertial navigation, ZVUs and PDR. IPN system B uses a shoemounted IMU with inertial navigation and ZVUs during the stance phase of every stride. Both systems successfully bridged a 60 s GPS outage with a position error of less than 10 m. The system B solution exhibited less drift during the outage, but was also noisier. System A was also used to successfully demonstrate PDR during running and jogging motion, though performance was not as good as during walking. Some preliminary results on adopting different step length estimation models for the different motion regimes are then presented.
Conidiomatal morphogenesis and pleomorphic conidiogenesis in Scleroconidioma sphagnicola

Abstract Morphogenesis of microsclerotia and conidiomata, and conidiogenesis in Scleroconidioma sphagnicola were studied primarily by transmission and scanning electron microscopy. Microsclerotia were initiated as bulges from hyphae that later swelled and became multicellular. They increased in size by forming protrusions that subsequently were delimited by multilayered, simple septa. The structure of septa indicated an ascomycetous affinity. Cells of mature microsclerotia contained large lipid bodies and poorly defined organelles. In culture, microsclerotia often became conidiomata by conversion of the surface cell layer to conidiogenous cells. These conidiogenous cells were either percurrently proliferating or were phialides with a collarette and periclinal wall thickening. Conidia were also produced from vegetative hyphae. Conidiogenous cells arising from juvenile, hyaline hyphae proliferated percurrently or occasionally sympodially with the production of successive conidia. As the colony aged and hyphae became darkly pigmented, variously shaped, solitary hologenous conidia became more dominant. Secondary conidiation from these conidia was frequent. Relative juvenility of the cell wall at the conidiogenous locus and the age of the colony appear to be important factors in determining the mode of conidium development in S. sphagnicola.
An Effective and Efficient FCM for Segmenting Color Image with High Intensity Noise

In this paper, an effective and efficient fuzzy c-means algorithm is proposed for color image segmentation. To make the segmentation robust, the pixel similarity, the sliding window and alpha-trimmed mean are combined together to suppress the influence of heavy noise during the segmentation process. On the other hand, to make the segmentation effective, the quantitative technique is utilized in RGB space to accelerate the speed of segmentation. Our algorithm has two main advantages: (1) By considering the local spatial and color information together, the high intensity noise can be removed effectively to great extent; (2) Due to the using of quantitative techniques in RGB spaces, the time complexity of our algorithm is proportional to the number of colors (only 216) and independent of the number image pixels, and therefore it is very suitable for large-scale images. The experiments show that our algorithm is effective and efficient.