Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbial Consortia versus Single-Strain Inoculants: An Advantage in PGPM-Assisted Tomato Production?

The use of biostimulants with plant growth-promoting properties, but without significant input of nutrients, is discussed as a strategy to increase stress resistance and nutrient use efficiency of crops. However, limited reproducibility under real production conditions remains a major challenge. The use of combination products based on microbial and non-microbial biostimulants or microbial consortia, with the aim to exploit complementary or synergistic interactions and increase the flexibility of responses under different environmental conditions, is discussed as a potential strategy to overcome this problem. This study aimed at comparing the efficiency of selected microbial single-strain inoculants with proven plant-growth promoting potential versus consortium products under real production conditions in large-scale tomato cultivation systems, exposed to different environmental challenges. In a protected greenhouse production system at Timisoara, Romania, with composted cow manure, guano, hair-, and feather-meals as major fertilizers, different fungal and bacterial single-strain inoculants, as well as microbial consortium products, showed very similar beneficial responses. Nursery performance, fruit setting, fruit size distribution, seasonal yield share, and cumulative yield (39–84% as compared to the control) were significantly improved over two growing periods. By contrast, superior performance of the microbial consortia products (MCPs) was recorded under more challenging environmental conditions in an open-field drip-fertigated tomato production system in the Negev desert, Israel with mineral fertilization on a high pH (7.9), low fertility, and sandy soil. This was reflected by improved phosphate (P) acquisition, a stimulation of vegetative shoot biomass production and increased final fruit yield under conditions of limited P supply. Moreover, MCP inoculation was associated with selective changes of the rhizosphere-bacterial community structure particularly with respect to Sphingobacteriia and Flavobacteria, reported as salinity indicators and drought stress protectants. Phosphate limitation reduced the diversity of bacterial populations at the root surface (rhizoplane) and this effect was reverted by MCP inoculation, reflecting the improved P status of the plants. The results support the hypothesis that the use of microbial consortia can increase the efficiency and reproducibility of BS-assisted strategies for crop production, particularly under challenging environmental conditions.
The development of value perception toward cultural tourism destination: a Northeast Thailand case study / Ann Suwaree Ashton, Suchawadee Limisariyapong and Rasmee Islam

This study aims to measure value perception toward cultural tourism destination. This study employs a quantitative approach and uses a survey questionnaire form for the data collecting process. A total of 212 samples were collected and multiple regression techniques were used to analyze data. The findings revealed that five value components, including functional, social, emotional, epistemic and conditional, influence tourist satisfaction and intention to revisit the destination. This study provides insight knowledge for both academic and managerial contributions. For the academic part, this study offers foundation knowledge on perceived value toward cultural tourism development theory. In terms of managerial contribution, the findings of this study are useful for several stakeholders, such as the outcome can help local authorities and communities develop destinations by adding value. Notably, the most effective way to promote a cultural tourism destination is best done through online marketing and by having influential community leaders.
Development of a Quadruped Robot System With Torque-Controllable Modular Actuator Unit

This article presents an overview of Artificial DIgitigrade for Natural Environments (AiDIN-VI), a force-controllable quadruped robot system with incorporated mandatory abilities of speed, efficiency, and mobility for providing real-world services. This article describes the design methodologies and principles employed to implement these requisite capabilities on a single robot platform; particularly, the torque sensing method, along with the components and modularization method of the torque-controllable actuator unit are elucidated herein. The developed robot platform is equipped with all necessary components, including onboard PCs (for motion generation and vision mapping), a battery, modular actuator units, a wireless network router, and a remote e-stop controller for autonomous and manual locomotion control. The robot is subdivided into joints, legs, and robots, and its performance is experimentally tested. The capability of the robot with regard to joint torque control ($\pm$70 Nm), leg force control (350 N along the z-axis), and robot (vertical loading 25 kg, pulling force 200 N) was experimentally verified, and locomotive performances (walk, pace, trot, and jump) on various terrains were executed. A maximum trot gait speed of 1.2 m/s was recorded, along with minimum costs of transport of 1.187 and 1.15 at a speed of 1.0 m/s and under loading conditions, respectively.
Cognitive decline among patients attending geriatric clinic in a tertiary care center

ABSTRACT AIM: 1) To screen for cognitive impairment among patients attending geriatric clinic. 2)To assess the socio demographic factors responsible for cognitive impairment among these patients. 3)To find the correlation between HMSE, EASI and HIS BACKGROUND: Cognitive impairment among geriatric patients has a more complex etiology. It causes a significant burden to the patients and family by increasing the dependency level. Hence, the current study was done to screen the patients attending geriatric clinic in a tertiary care center, Victoria Hospital, Bangalore. METHODS: A cross sectional study of 100 patients above 60 years of age attending geriatric clinic in a tertiary care center, Bangalore was done from November 2017 till May 2019 by collecting data in a structured proforma. Cognitive function was screened using Hindi Mental Status Examination, Everyday Ability Scale for India and Huchinski Ischemic Score. All the data obtained were entered in to SPSS 24th statistical analysis method and results obtained were compared, discussed with previous studies, then final conclusions were drawn. RESULTS: Among the 100 patients screened, there were more females (57%) than males (43%), most of the people were from urban areas (59%) than rural (41%). Majority of the patients (47%) were under the age group of 65-75 years. 82% of the patients were Hindus,14% were Muslims,3% of the patients were from Christian religion.55% of the patients did less than 7 years of schooling and 41% of them were unemployed. Mean age of the sample was 67.67(SD 4.55). Among the medical co morbidities,68% of the patients were having Hypertension and 39% of them were having Diabetes mellitus. Cognitive impairment was noticed in 17%(mean =4.82, SD=4.55) of the geriatric patients. CONCLUSION: The current study found out that 17% of the people attending geriatric clinic has cognitive impairment. Hence, regular screening for cognitive dysfunction needs to be done at geriatric clinic in a tertiary care center.
Patients with deleterious germline mutations: A heterogeneous population for pancreatic cancer screening?

Modest data exist on the benefits of screening and surveillance for pancreatic cancer (PC) in high‐risk individuals. Intraductal papillary mucinous neoplasms (IPMN) are known precursors to PC. We hypothesized that patients with high‐risk deleterious germline mutations have a higher prevalence of IPMN.
Nectar quality affects ant aggressiveness and biotic defense provided to plants

Ant–plant mutualisms are useful models for investigating how plant traits mediate interspecific interactions. As plant‐derived resources are essential components of ant diets, plants that offer more nutritious food to ants should be better defended in return, as a result of more aggressive behavior toward natural enemies. We tested this hypothesis in a field experiment by adding artificial nectaries to individuals of the species Vochysia elliptica (Vochysiaceae). Ants were offered one of four liquid foods of different nutritional quality: amino acids, sugar, sugar + amino acids, and water (control). We used live termites (Nasutitermes coxipoensis) as herbivore competitors and observed ant behavior toward them. In 88 hr of observations, we recorded 1,009 interactions with artificial nectaries involving 1,923 individual ants of 26 species. We recorded 381 encounters between ants and termites, of which 38% led to attack. Sixty‐one percent of these attacks led to termite exclusion from the plants. Recruitment and patrolling were highest when ants fed upon nectaries providing sugar + amino acids, the most nutritious food. This increase in recruitment and patrolling led to higher encounter rates between ants and termites, more frequent attacks, and faster and more complete termite removal. Our results are consistent with the hypothesis that plant biotic defense is mediated by resource quality. We highlight the importance of qualitative differences in nectar composition for the outcome of ant–plant interactions.
Hypertriglyceridemia Is Associated With White Blood Cell Count and Red Cell Distribution Width: A Gender Stratified Analysis in a Population-Based Study

Hypertriglyceridemia is a common form of dyslipidemia and is associated with several comorbidities, such as increased risk of pancreatitis and cardiovascular diseases (CVD). The white blood cell (WBC) count is a non-specific inflammatory marker associated with a wide variety of diseases such as diabetes, hypertension, and atherosclerotic cardiovascular disease. The objective of this study was to perform a genderstratified examination of the association between hypertriglyceridemia and hematological parameters in a large sample of Iranian population. The triglyceride (TG) levels and hematological parameters were measured in 9,780 participants (40% males and 60% females) aged 35-65 years, enrolled in a population-based cohort (MASHAD) study in northeastern Iran. Participants were stratified into three groups based on the definition of hypertriglyceridemia: TG<150 mg/dl (n=6521), TG=150-199 mg/dl (n=1597), and TG≥200 mg/dl (n=1662). A complete blood count (CBC) was obtained for all the subjects. The mean WBC count increased with increasing severity of hypertriglyceridemia among both men and women. Participants with high and very high TG levels had significantly higher WBC count, RBC count, platelet count, hemoglobin, hematocrit, and mean corpuscular hemoglobin concentration and significantly lower RDW. After performing multivariate logistic regression, WBC count and RDW were independently related to hypertriglyceridemia. In conclusion, hypertriglyceridemia is associated with elevated WBC count which may partly explain the observed association between hypertriglyceridemia and CVD. © 2018 Tehran University of Medical Sciences. All rights reserved. Acta Med Iran 2018;56(10):645-652.
A Novel Dipole Configuration With Improved Out-of-Band Rejection and its Applications in Low-Profile Dual-Band Dual-Polarized Stacked Antenna Arrays

In this communication, a novel dipole configuration with reactive loadings is proposed for the design of low-profile dual-band dual-polarized stacked antenna arrays. For lower band (LB1, 3.3–3.6 GHz) dipole, its inductive loadings are implemented at the end of each dipole arm to suppress the basic resonant mode for band rejection at higher frequencies. For higher band (HB2, 4.8–5.0 GHz) dipole, its <italic>LC</italic> loadings are implemented at the beginning of each dipole arm, where the inductor and the capacitor, respectively, increase the <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-factor for improving the out-of-band rejection and balance the impedance matching. Hence, LB1 and HB2 dipoles can be closely stacked with high isolation. Moreover, a dual-band artificial magnetic conductor (AMC) reflector is adopted for reducing the distance between the antenna and the ground plane. Consequently, the overall height of the proposed one is only 0.16 <inline-formula> <tex-math notation="LaTeX">$\lambda _{L}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{L}$ </tex-math></inline-formula> being the free-space wavelength at the center frequency of LB1), which is smaller than the previous dual-band stacked designs. The measurement results demonstrate that the array achieves good impedance matching, high isolation, and stable radiation patterns simultaneously, indicating it as a promising candidate for sub-6 GHz base-station services.
The effects of local and systemic inflammatory status on iron metabolism and lipid profile in calves

Materials and Methods: A total of 56 calves, 39 sick and 17 healthy, were used in the study in different races and genders. The sick calves were divided into two groups as local (8 omphalitis and 11 arthritis) and systemic (10 enteritis and 10 pneumonia) inflammations. After routine clinical examinations of all the animals were performed, 8 ml of blood was taken for blood analysis and biochemical analyses were performed.
Retour d’expérience des six évacuations sanitaires aériennes collectives MoRPHEE durant la pandémie de Covid-19

Après son apparition en Chine à la fin de 2019, l’épidémie de coronavirus 2019 (Covid-19) a rapidement provoqué le risque d’une saturation des ressources en soins intensifs dans chaque pays touché. La répartition de la maladie entre les différents territoires est hétérogène. Le transport interhospitalier sur longue distance de patients atteints de Covid-19 dans le but de limiter la pression sur les unités de soins intensifs au niveau national ou international n’a pas encore été décrit. L’objectif de cet article était de fournir des données descriptives des six missions d’évacuation aéromédicale collective (Evasan) de patients atteints de Covid-19 réalisées en Europe et sur le territoire national français les 18, 21, 24, 27, 31 mars et 3 avril 2020 grâce au dispositif MoRPHEE. Trente-six patients souffrant de syndrome de détresse respiratoire aiguë (SDRA) ont été évacués durant six missions d’évacuations sanitaires collectives. Le SDRA était modéré (rapport PaO2/FiO2> 100 et ≤ 200) chez 24 patients et léger (rapport PaO2/FiO2> 200 et ≤ 300) chez 12 patients. La durée médiane de la ventilation mécanique en soins intensifs avant le transport était de quatre jours (interquartile [IQ] : 3‒5). Le rapport médian PaO2/FiO2était de 180 mmHg (IQ : 156‒202). Le débit médian de perfusion de noradrénaline était de 0,08 μg/kg par min. Aucune complication mettant en jeu le pronostic vital n’a été signalée. En conclusion, l’évacuation sanitaire aérienne collective de patients gravement malades de Covid-19 est une solution contribuant à contrôler le niveau de saturation du système de soins au niveau national ou international.
INVESTIGATIONS ON THE USE OF STUDENT PEER REVIEW TO IMPROVE SUPERVISION OF CAPSTONE COURSES IN THE CIVIL ENGINEERING EDUCATION

This paper investigates the use of peer-review as a supervising tool for students writing assignments for the capstone courses in their civil engineering education. The participants in the peer-reviews included a combination of bachelor and master students. The reason for trying peer-review as a supervising tool was to activate the students’ potential for learning through participating as both presenters and opponents in the peer-review process itself and to improve their work as an outcome. A potential for rationalisation of the supervisors’ workload, was considered a possible secondary gaining. Experiences show that students run into many of the same obstacles and ask corresponding questions regarding their thesis. Through the peer-review process, the supervisors were able to advise everyone simultaneously, and everybody could gain from participating the discussions. The students participating in the peer reviews were separated into two different groups based on the topic of their assignments. This ensured relevant discussions and avoided students spending an unnecessary amount of time. The peer reviews were divided by category based on the report template. The results indicate that execution of well-directed peer review processes amongst the students might offer advantages that are not available through a “teacher” or other superior alone. These extra advantages are explained through several learning mechanisms. The students were found to be openminded towards participating in this “new” process, and to having high expectations for the outcome. After repeatedly participating eight sessions, their overall perception of outcome even outperformed their expectations.
Towards a New Perspective on the Heterogeneity of Business Incubator-Incubation Definitions

The term “business incubator” (BI) has become an accepted neologism among academics, practitioners, and policymakers. This is despite the lack of an agreed definition amongst scholars of what exactly constitutes a BI. Using a systematic literature review methodology, we identify and analyze definitions of BIs used in published academic research papers and practice papers over a 35-year period. In this article, we undertake a thematic analysis, using the software package NVivo, of 82 academic and 14 practice definitions used in 61 publications. Our analysis shows that definitions of BIs are constructed around three core themes: the business incubation model; the purpose of the incubator; and the target of support provided by the incubator. By identifying both consistencies and inconsistencies in existing definitions, we provide a more nuanced understanding of the heterogeneity that underlies the organizational form referred to as a BI. We conclude by proposing an agenda for further research.
Molecular Predicting Drought Tolerance in Maize Inbred Lines by Machine Learning Approaches

Drought is one of the prime abiotic stresses in the world. Now, amongst the new technologies available for speed up the releasing of new drought tolerance genotypes, there is an emanate discipline called machine learning. The study presents Machine Learning for identification, classification and prediction of drought tolerance maize inbred lines based on SSR genetic markers datasets generated from PCR reactions. A total of 356 SSR reproducible fragment alleles were detected across the 71 polymorphic SSR loci. A dataset of 12 inbred lines with these fragments prepared as attributes and was imported into RapidMiner software. After removal of duplicates, useless and correlated features, 311 feature attributes were polymorphic, ranging in size from 1500 to 3500 bp. The most important attribute fragment alleles in different attribute weighting selected. Ten datasets created using attribute selection (weighting) algorithms. Different classification algorithms were applied on datasets. These can be used to identify groups of alleles with similar patterns of expression, and are able to create some models that have been applied successfully in the prediction, classification and pattern recognition in drought stress. Some unsupervised models were able to differentiate tolerant inbred lines from susceptible. Four unsupervised models were able to produce the different decision trees with root and leaves. The most important attribute alleles almost in all of models were phi033a3, bnlg1347a1 and bnlg172a2 respectively, that can help to identify tolerant maize inbred lines with high precision.
GELENEKSEL BARON, KENNY ARACILIK ANALİZİNİN SONU

In this study, it was aimed to determine the appropriate method for Mediating analysis used in research models. In this context, the widely used traditional Baron and Kenny Mediating analysis method has been criticized by many subsequent researchers and stated that it should not be used in Mediating Analyses because it can yield incorrect results. In modern Mediation analysis approaches, it is stated that indirect effects should be investigated, rather than focusing on the Total Effect proposed in Baron and Kenny Mediation analysis. In this study, the characteristics Geleneksel Baron ve Kenny Aracılık Analizinin Sonu Sosyal Bilimler Dergisi / The Journal of Social Science, Yıl: 7, Sayı: 46, Haziran 2020, s. 480-490 481 of the Baron and Kenny Mediation model traditionally used were revealed. In addition, criticism, suggestions and modern approaches to the Baron Kenny method of Mediation analysis have been examined.
Evaluation of mobile robot localization system's accuracy based on sensor data fusion technique

fundamental e uma das tarefas mais importantes para os sistemas de navegação. Na navegação autônoma, o robô deve estar ciente de sua localização no ambiente para que possa determinar a trajetória que deve seguir para executar alguma tarefa. Uma das formas mais comuns na robótica móvel para obter a localização do robô é a utilização da odometria baseada no movimento das rodas. O problema deste mecanismo é que apresenta uma imprecisão crescente ao longo do tempo e uma sensibilidade elevada ao tipo de pavimento. Uma maneira de melhorar a precisão do posicionamento do robô é através da fusão de outros sensores capazes de medir o deslocamento e rotações do robô. Os sensores mais utilizados para melhorar o conhecimento da posição do robô é a odometria visual e os sensores inerciais. Este trabalho propõe analisar a precisão dos sistemas de posicionamento baseado na odometria obtida das rodas, de sensores inerciais e da odometria visual e o impacto da fusão destes mecanismos na precisão da localização do robô. Para análise da precisão do movimento do robô será comparada a trajetória real de um robô de duas rodas utilizando os sistemas de navegação individualmente e combinados através da técnica de fusão de sensores. Abstract — The accurate localization of a robot is a fundamental challenge and one of the most important tasks for navigation systems. In autonomous navigation systems, the robot must keep aware of its location in the environment in order to determine the path it must follow to perform some task. One of the most common ways in mobile robotics to obtain the localization of the robot is the use of odometry based on the movement of the robot's wheels. The problem of this mechanism is that it presents an increasing imprecision over time and a high sensitivity to the type of pavement. One way to improve the robot's positioning accuracy is by fusing data of other sensors capable of measuring the robot's displacement and speed. The most used sensors to improve the knowledge of the robot's position are visual odometry and inertial sensors. This paper proposes to analyze the accuracy of the positioning systems based on the odometry obtained from the wheels, inertial sensors and visual odometry and the impact of the fusion of these mechanisms on the accuracy of the robot's localization. To analyze the accuracy of the robot's movement, the real trajectory of a two-