Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF SOME PROMISING LINES OF FENUGREEK PLANT UNDER DIFFERENT SEEDING RATES AND SPRAYING WITH POTASSEIN – P

Two field trials were carried out at El-Gimiza Research Station Farm during 2005/2006 and 2006/2007 seasons to study the effect of spraying potassein-P (30% K 2 O and 10% P) and three seeding rates (24, 36 and 42 kg/fed) on growth, seed yield, fixed oil, carbohydrate and protein percentages of two varieties (Giza 2 and Giza 30) and two promising strains (16 and 29) of fenugreek plant. The results showed that fenugreek strain 29 was the latest in flowering and maturity. Strain 29 exceed Giza 2 var. , Giza 30 var. and strain 16 in plant height, branches and pods number, 1000 seed weight and protein percentage. Whereas strain 29 and Giza 2 var. recorded the maximum seed and oil yield and carbohydrate percentage. Spraying of potassein-P significantly increased all characters under study than unspraying. Sowing fenugreek at low seed rate of 24 kg/fed significantly increased branches number, seed yield and its components, percentage and yield of oil and protein percentage. Data showed that the interaction of varieties X seeding rates had significant effects on all studied characters except plant height and oil percentage. All the interactions were significant concerning 1000 seed weight and protein percentage. GLC analysis of fatty acids showed that the total percentage of unsaturated fatty acids was higher than the value of saturated one in all varieties and strains fixed oil. Linoleic acid was major components of unsaturated fatty acid. Giza 30 variety and strain 29 recorded the highest value of linolenic unsaturated fatty acid. The best treatment for highest yield of seed and oil was that of sowing Giza 2 var. at low seed rate of 24 kg/fed and spraying with potassein-P while, maximum yield of seed and oil and protein percentage could be achieved by sowing promising strain 29 at 24 kg/fed seeding rate and spraying with potassein-P. plant height, number of pods, weight of 100 seeds, seed yield per plant and per feddan, total lipids, protein and carbohydrate percentage. This study aimed to investigate the effect of spraying with potassein-P and seeding rates on the growth, seed and oil yield, carbohydrate and protein percentage of two varieties and two strains of fenugreek plant. N, ascobine and their combinations on yield parameters
Colour changes upon cooling of Lepidoptera scales containing photonic nanoarchitectures

The effects produced by the condensation of water vapours from the ambient in the various intricate nanoarchitectures occurring in the wing scales of several Lepidoptera species were investigated by controlled cooling (from room temperature to -5 – -10 °C) combined with in situ measurement of changes in the reflectance spectra. It was determined that, due to this procedure, all photonic nanoarchitectures giving a reflectance maximum in the visible range and having an open nanostructure exhibited alteration of the position of the reflectance maximum associated with the photonic nanoarchitectures. The photonic nanoarchitectures with a closed structure exhibited little to no alteration in colour. Similarly, control specimens coloured by pigments did not exhibit a colour change under the same conditions. Hence, this effect can be used to identify species with open photonic nanoarchitectures in their scales. For certain species, an almost complete disappearance of the reflectance maximum was found. All specimens recovered their original colours following warming and drying. Cooling experiments using thin copper wires demonstrated that colour alterations could be limited to a millimetre, or below. Dried museum specimens do not exhibit colour changes when cooled in the absence of a heat sink due to the low heat capacity of the wings.
Hematological and biochemical changes in Ongole cows one week before and one week after parturition in relation to THI

The objective of the present study was to assess the hematological and biochemical changes during periparturient period Ongole cattle. Eight Ongole pregnant cattle of four to six years of age during the summer season were used for the experiment. Temperature humidity index (THI) was calculated by recording the ambient temperature and relative humidity in the calving season. Whole blood was collected one week before and after calving. Haematological and biochemical parameters were estimated. The study revealed that transition period had no effect (p>0.05) on total erythrocytic count (TEC), haemoglobin (Hb), packed cell volume (PCV), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH) and mean corpuscular haemoglobin concentration (MCHC). The total leucocyte count (TLC) was significantly ( p < 0.05) higher and lymphocyte percent was significantly ( p < 0.05) lower during postpartum compared to prepartum. There was no significant (p>0.05) difference between prepartum and postpartum with respect to biochemical parameters such as total protein, BUN and creatinine. Cholesterol, calcium and phosphorous levels were significantly ( p < 0.05) lower during postpartum compared to prepartum. Changes in hematological and biochemical parameters are indicative of parturition stress in Ongole cows and these parameters could be used as stress markers. The mean values obtained for hematological and biochemical parameters are within the reference range of cattle despite of high THI which is indicative of high thermo tolerance to the existing adverse ambience.
SYMBOLISING SPACE: FROM NOTATION TO MOVEMENT INTERACTION

The last decades the development of whole-body interaction technologies, as well as XR (Extended Reality) technologies, including Augmented, Mixed and Virtual Reality, created a strong potential for embodied and immersive experiences to support learning and the use of notation while moving. In our ongoing work, we explore this potential on the user case of familiarizing dance experts and amateurs with movement notation in general and Laban-otation in particular. By applying methodologies of user-centered design, including co-design workshops with notation and dance experts, interviews, focus-groups, questionnaires supporting the iterative design of our prototype, we focus on how we can meaningfully transfer the concepts related to space from notation to full body interaction instructions. So far we have developed two prototypes following two paradigms: a. the augmented mirror paradigm using Kinect and b. the immersive paradigm using HTC-Vive, that we have used as technology probes to interact with dance experts in the context of our co-design work. We reﬂect on this experimentation and we document the emerging challenges of transferring a symbolic language that is meant to be transmitted through paper, into spatial semantic queues. We discuss the challenges that arise be-tween the gaps of symbolically referring to space, within a rich conceptual framework, such as Laban Movement Analysis (LMA), experiencing space kinaesthetically, and transferring these into a digital experience, always within the limitations of the current technologies.
A retrospective study of prevalence and antibiotic resistance of bacteria isolated from the cerebrospinal fluid of neurosurgical patients in a Shanghai tertiary hospital

Background: Postoperative central nervous system infections (PCNSIs) are serious complications following neurosurgery. Effective management of the infections depends on the identification of causative pathogens and the antibiotic sensitivities. The aim of this study was to investigate the clinical features, causative organisms and their antimicrobial susceptibility testing results, which could help clinicians to initiate appropriate empirical antibiotic therapy. Methods: This was a retrospective study conducted over a period of 3.5 years (from January 2016 to July 2019). All in-patients admitted neurosurgery and ICU meeting the inclusion criteria of PCNSIs were included in the study. Demographic characteristics, type of neurosurgery, laboratory data, causative organisms and antimicrobial susceptibility testing results were analyzed. Results: A total of 1500 patients underwent operation during this study. Twenty-three patients with 34 isolates out of 79 patients with 157 CSF culture samples were available for data analysis. The estimated incidence and culture-positive rate of PCNSIs were approximately 1.5% and 29.1%, respectively. The predominant organism was coagulase-negative staphylococci, of which most were methicillin-resistant coagulase-negative staphylococci (MRCoNS). All were susceptible to vancomycin, linezolid, and rifampicin. Acinetobacter baumannii was the most frequent causative Gram-negative agent and was resistant to 14 out of 17 antimicrobials tested. The sensitivity rates for amikacin, sulfamethoxazole-trimethoprim and minocycline were only 44, 44, and 11%, respectively. Conclusions: The MRCoNS were the predominant organism for PCNSIs. The management of Acinetobacter baumannii could be a major clinical challenge with few effective antimicrobials in PCNSIs.
Cells in the Inflamed Human Liver Recruitment and Positioning of Regulatory T Distinct Roles for CCR4 and CXCR3 in the

Regulatory T cells (T regs ) are found at sites of chronic inﬂammation where they mediate bystander and Ag-speciﬁc suppression of local immune responses. However, little is known about the molecular control of T reg recruitment into inﬂamed human tissues. We report that up to 18% of T cells in areas of inﬂammation in human liver disease are forkhead family transcriptional regulator box P3 (FoxP3) + T regs . We isolated CD4 + CD25 + CD127 low FoxP3 + T regs from chronically inﬂamed human liver removed at transplantation; compared with blood-derived T regs , liver-derived T regs express high levels of the chemokine receptors CXCR3 and CCR4. In ﬂow-based adhesion assays using human hepatic sinusoidal endothelium, T regs used CXCR3 and a 4 b 1 to bind and trans-migrate, whereas CCR4 played no role. The CCR4 ligands CCL17 and CCL22 were absent from healthy liver, but they were detected in chronically inﬂamed liver where their expression was restricted to dendritic cells (DCs) within inﬂammatory inﬁltrates. These DCs were closely associated with CD8 T cells and CCR4 + T regs in the parenchyma and septal areas. Ex vivo, liver-derived T regs migrated to CCR4 ligands secreted by intrahepatic DCs. We propose that CXCR3 mediates the recruitment of T regs via hepatic sinusoidal endothelium and that CCR4 perfused). Cells phase were above the endothelial monolayer, whereas those appearing phase dark had migrated through the monolayer. HSEC monolayers were incubated with blocking Abs against ICAM-1 (11C81: 10 m g/ml) and VCAM-1 (4B2: 10 m g/ml) (both from R&D Systems), or lymphocytes were incubated with a blocking Ab raised against CXCR3 (MAB160/49801; 10 m g/ml; R&D Systems;) for 30 min. To inhibit chemokine-mediated signaling, T regs were incubated with PTx (100 ng/ml; Sigma-Aldrich) 30 min prior to assay. We also blocked the individual CXCR3 chemokine ligands by incubating HSECs with anti-CXCL9 (49106; 50 m g/ml), anti-CXCL10 (33036; 5 m g/ml), or anti-CXCL11 (87328; 5 m g/ml) (all from R&D Systems) for 30 min. HSECs had been stimulated for 24 h with TNF- a and IFN- g to induce the expression of CXCR3 ligands. All experiments were compared with control microslides in which isotype-matched IgG was used.
Mechanical cognitivization: a kinematic system proof of concept

The common approach for training robots is to expose them to different environmental scenarios, training their controllers to have the best possible commands when untrained scenarios are encountered. When humans train, they do the same. They try new manipulations by performing within different environments. However, humans training also includes a type of training which, although claimed to improve cognitive capabilities, has not, to date, been adopted for the training of robots. This type of training involves the restriction of manipulation capabilities while performing different tasks, e.g. climbing with just one hand. Recently research that aims at exploring the invigorating idea that such training, termed as mechanical cognitivization (MC), would enhance the robustness of robots, has been published. However, that work has demonstrated the idea by utilizing mathematical functions. In the current paper, the first proof that such training may enhance the robustness of robots is given by using a kinematic system. Specifically, it is shown that such training improves the performances of robots when encountering the need to perform new tasks, when performing within untrained environments and when malfunctions occur. The advantages of the suggested training are highlighted through facilitating a comparison between three learning schemes that include a common neural net and two MC-based nets. These are termed here as amalgamated modes neural net and committee of modes neural net. It is shown that both MC-based schemes are superior when robustness is considered.
Release of Escherichia coli under raindrop impact: The role of clay

A recent paper by Wang et al. (2017) showed that the release of Escherichia coli ( E. coli ) from soil into overland ﬂ ow under raindrop impact and the release of clay follow identical temporal patterns. This raised the question: what is the role of clay, if any, in E. coli transfer from soil to overland ﬂ ow, e.g., does clay facilitate E. coli transfer? Using simulated rainfall experiments over soil columns with and without clay in the matrix, we found there was signi ﬁ cantly more E. coli released from the non-clay soil because raindrops penetrated more deeply than into the soil with clay.
Supporting Domain Experts in Determining Viable User Interface Designs for Wearable Computers Used in AEC Work Situations

Summary The design of mobile IT systems, especially the design of wearable computer systems, is a complex task that requires computer science knowledge, such as that related to hardware configuration and software development, in addition to knowledge of the domain in which the system is intended to be used. Particularly in the AEC sector, it is necessary that the support from mobile information technology fit the work situation at hand. Ideally, the domain expert alone can adjust the wearable computer system to achieve this fit without having to consult IT experts. In this paper, we describe a model that helps in transferring existing design knowledge from non-AEC domains to new projects in the construction area. The base for this is a model and a methodology that describes the usage scenarios of said computer systems in an application-neutral and domain-independent way. Thus, the actual design information and experience will be transferable between different applications and domains.
Solving Linear Bilevel Problems Using Big-Ms: Not All That Glitters Is Gold

The most common procedure to solve a linear bilevel problem in the PES community is, by far, to transform it into an equivalent single-level problem by replacing the lower level with its KKT optimality conditions. Then, the complementarity conditions are reformulated using binary variables and large enough constants (big-Ms) to cast the single-level problem as a mixed-integer linear program that can be solved using optimization software. In most cases, such large constants are tuned by trial and error. We show, through a counterexample, that this widely used trial-and-error approach may lead to highly suboptimal solutions. Then, further research is required to properly select big-M values to solve linear bilevel problems.
Impact of the Perception of Work and Professional Aspirations on the Involvement of Medical Staff at Cocody University Hospital (Abidjan)

Based on the theories of social representations and expectations, this study analyzes the factors influencing the involvement in the work of the medical personnel and more particularly the midwives of the Cocody Hospital. Following a survey of 80 midwives using a questionnaire, those with a favorable perception of work are more involved in work than their counterparts who have an unfavorable perception. Similarly, midwives who nurture a strong occupational aspiration are also more involved in performing their function compared to their pairs who develop rather a low occupational aspiration. involvement the
An anatomical variant: evaluation of accessory canals of the canalis sinuosus using CBCT

Background : The anatomical variation of the anterior superior alveolar nerve which described as canalis sinuosus(CS) is a less known structure of anterior maxilla. Due to it contains anterior superior alveolar nerve as well as vein and arteries, exact diagnosis will provide surgeons to avoid complications. Hence, the aim of this study was to verify the presence, reveal the frequency and characteristics of accessory canals of canalis sinuosus. Material and Methods : This study was based on retrospective evaluation of CBCT scans. A total of 1460 CBCT images were analyzed and collected data were noted. Parameters were recorded as age, sex, presence or absence of CS, location in relation to the adjacent teeth and impaction of canine teeth. Results : A total of 6668 accessory canals were found in 1460 CBCT images. Of these, 672 (46.0%) were from female patients, and 788 (54.0%) were from male patients. 1034(70.8%) of 1460 images had at least one accessory canals of canalis sinuosus. Maxillary intercentral region is the area where the most frequently seen of accessory canals (n=653, 44.72%) Conclusions : Canalis sinuosus is a bony canal which is incidentaly found and less known structure of anterior portion of maxilla. Knowing the accessory canals deriving from this structure will provide surgeons to avoid complications and non-integration of dental implant procedures. Conventional imaging modalities have limited value in detecting of this neurovascular structures. Therefore CBCT may have an important role for accurate diagnosis to reveal anatomical variations.
Impact Of Intellectual Potential On Performance With The Mediating Role Of Strategic Knowledge Management In The Telecommunication Sector Of Pakistan

Purpose:The purpose of study was to analyze impact of intellectual potential of human capital on telecom companies of Pakistan with the mediating role of strategic knowledge management. The impact of intellectual potential has been tested on performance of telecom companies of Pakistan. It also tested mediating role strategic knowledge management between intellectual potential and organizational performance. Methodology and Design: Data was collected through online questionnaire from 150 employees of telecom companies in Pakistan. Findings: Findings of study supported the model as results showed that there are significant relationships among the variables. Conclusion:The role of people has redefined due to Knowledge economy and many organizations have realized that employees are a valuable asset. Thus, the potentially competent managers have drastic impact on the strategic management of the organization by creating, developing and implementing policies, new ideas and practices that will improve the organizational performance.
Using k -Core Decomposition to Find Cluster Centers for k -Means Algorithm in GraphX on Spark

—Big data analysis is getting more and more attention these days. In social network applications, a large amount of data is in a graph structure form. As a result, more computation time is required for graph data analysis. In 2014, a framework of in-memory computing, Spark, was proposed for big data analysis. Through reusing the data in memory to solve the long computation time issue, Spark finishes a task in a shorter time compared to Hadoop. In addition, GraphX, a Spark API (Application Interface), provides a graphical interface and makes graph data analysis simple and efficient. This study presents an improved k-mean clustering method by integrating k-core decomposition, which is an important algorithm in community detection to find the center of each cluster. We implement the clustering algorithm with GraphX to get better performance and results compared to the original k-mean clustering method.
Full Review What are we missing in the clinical trials of focal segmental glomerulosclerosis?

Focal segmental glomerulosclerosis (FSGS) is a lesion and not a disease. This conundrum is the crux of controversies regarding interventions to alter its natural history. In the broadest sense, the lesion can be primary (idiopathic), or secondary to a process originating outside the kidneys or to a genetic mutation. The organ-based target is the podocyte, and the mechanisms re-sponsible for the podocytopathy are numerous and diverse. Recurrence of primary FSGS in renal allografts provides the best evidence for the existence of a circulating factor or factors, the nature of which remains uncertain. The separation of primary from secondary FSGS clinically and pathologically is challen-ging, but full-blown nephrotic syndrome and diffuse (univer-sal) foot process effacement are strong signals for a primary form of FSGS. It is imperative that clinical trials designed to in-vestigate therapeutic strategies for patients with a lesion of FSGS pay careful attention to the separation of primary from secondary forms of FSGS. This critical review provides a rationale and a process for helping to ensure that this is accomplished, such that clinical trials provide useful information and treatment re-sponsiveness applicable to the primary forms of FSGS.
Face Detection Method for Public Safety Surveillance based on Convex Grouping

Face detection is very important in video surveillance of public safety. This paper proposed a face detection method based on the best optimization convex grouping to detect the face regions from different face shape images at actual conditions. Firstly, the basic principle of convex grouping was discussed, the main rules of convex and the structure of the convex polygons was described. And then the best optimization convex grouping algorithm of the convex polygons was designed. At last, all of the algorithms, which used the best optimization convex grouping to detect the face region on the data set of MIT single face sample library were tested. This sample library contains positive faces, side faces and other sorts of posture. The experiment result showed that the best optimization convex grouping method could detected the face regions accurately, even if the face postures are positive, side or others, our proposed method was effective, and it was not affected by color and light. Compared with other typical algorithms, this proposed method had higher detection accuracy, and it could be used directly without training. Meanwhile, there was a better stability and reliability in the actual processing, which could satisfy the requirements of practical application.
Investigating the Impact of Collaborative Patterns on Business Process Performance: a Large Scale Emprical Study Perspective

Identifying causal factors for process performance is critical to business process success. Therefore this research aims to investigate the impact of collaboration patterns on process performance in considering that process is a collaboration task. To make real life sense, we adopt a business process event log, Volvo log provided by BPIC 2013 as relevant data to conduct an empirical study for this impact. The log used here has a large scale of collaboration patterns and faces with unbalanced samples problem, thus in this paper, to overcome computation complexity resulted from large scale collaboration patterns, problem that the number of patterns is very large relative to samples and problem of unbalanced samples, we developed a methodology for investigating the impact of collaboration patterns on process performance. The methodology is a combination of logistic regression model which can handle unbalance samples problem easily, Stochastic Gradient Descent (SGD) which is efficient in large scale machine learning problems. It is expected that this research provided by us contribute to both business process management area and large scale empirical study in many domains.