Miracle-dz/UniFAR-FTUs huggingface dataset:
Algorithm for digital recognition of digital instrument based on support vector machine

Algorithm for digital recognition of digital instruments based on support vector machine is proposed. First of all, digital instrument image was collected by the robot, which are preprocessed by de-noise and other operations. Secondly, extreme regions were used for coarse positioning which is the digital ROI region. In the ROI region, bilateral filtering and other preprocessing operations were used once again, and the former extreme region is combined with support vector machine to eliminate the error window, and the accurate positioning of the digital segmentation is achieved. Finally, the digital feature vectors are sent to the support vector machine classifier sequentially and the number of significant digits of the result is determined according to the first nonzero value, and the correct reading of the instrument is output. The experimental results show that the algorithm can realize the digital recognition of digital instrument. The algorithm has high accuracy and strong robustness, which provides technical support for full coverage of digital instrument in substation, and this method, is superior to MSER+SVM method, and the comprehensive accuracy rate reaches 98.34%.
An integrated approach using data envelopment analysis and balanced score card to supply chain performance evaluation

Performance evaluation plays an important role in determining faults and difficulties of supply chain management as well as attempting to increase capabilities and improve activities. Data envelopment analysis (DEA), as a non-parametric method, has been one of the most important and significant management tools for measuring output or efficiency. In this paper, we propose a method to utilize balanced score card (BSC) as a tool for designing performance evaluation indices of an organization. Using a quantitative research method, we illustrate the proposed approach with a real case study.
Calcium and potassium currents in spermatogenic cells dissociated from rat seminiferous tubules.

The electrophysiological properties of the cell membrane of rat spermatogenic cells were studied using the whole‐cell variation of the patch‐electrode voltage‐clamp technique. In late primary spermatocytes and early spermatids isolated from adult testis, a transient inward current followed by a slowly developing outward current was produced when the membrane potential was made more positive than ‐60 mV. Early spermatogenic cells which consist of spermatogonia and early spermatocytes were isolated either from new‐born rats (12‐14 days old) of from adult cryptorchid rats 15‐21 days after the operation. In early spermatogenic cells, some showed a slowly developing outward current with negligible initial inward current, while others showed a recognizable inward current followed by the slowly developing outward current. The inward currents are identified as Ca2+‐carried current, since replacement of external Ca2+ with Mn2+ reversibly diminished the current whereas Ba2+ or Sr2+ substituted for Ca2+. The reversal potential of the outward current changed from ‐65 to ‐12 mV when [K+]o was raised from 5 to 100 mM. The outward current was independent of [Ca2+]o and was blocked by tetraethylammonium chloride. Thus the current was identified as membrane‐potential‐dependent K+ current. During spermatogenesis from spermatogonia to early spermatids, the density of Ca2+ current increased while the K+ current density decreased significantly.
Characterization of Fructose 1,6-Bisphosphatase and Sedoheptulose 1,7-Bisphosphatase from the Facultative Ribulose Monophosphate Cycle Methylotroph Bacillus methanolicus

ABSTRACT The genome of the facultative ribulose monophosphate (RuMP) cycle methylotroph Bacillus methanolicus encodes two bisphosphatases (GlpX), one on the chromosome (GlpXC) and one on plasmid pBM19 (GlpXP), which is required for methylotrophy. Both enzymes were purified from recombinant Escherichia coli and were shown to be active as fructose 1,6-bisphosphatases (FBPases). The FBPase-negative Corynebacterium glutamicum Δfbp mutant could be phenotypically complemented with glpXC and glpXP from B. methanolicus. GlpXP and GlpXC share similar functional properties, as they were found here to be active as homotetramers in vitro, activated by Mn2+ ions and inhibited by Li+, but differed in terms of the kinetic parameters. GlpXC showed a much higher catalytic efficiency and a lower Km for fructose 1,6-bisphosphate (86.3 s−1 mM−1 and 14 ± 0.5 μM, respectively) than GlpXP (8.8 s−1 mM−1 and 440 ± 7.6 μM, respectively), indicating that GlpXC is the major FBPase of B. methanolicus. Both enzymes were tested for activity as sedoheptulose 1,7-bisphosphatase (SBPase), since a SBPase variant of the ribulose monophosphate cycle has been proposed for B. methanolicus. The substrate for the SBPase reaction, sedoheptulose 1,7-bisphosphate, could be synthesized in vitro by using both fructose 1,6-bisphosphate aldolase proteins from B. methanolicus. Evidence for activity as an SBPase could be obtained for GlpXP but not for GlpXC. Based on these in vitro data, GlpXP is a promiscuous SBPase/FBPase and might function in the RuMP cycle of B. methanolicus.
MAGIC observations of PG 1553+113 during a multiwavelength campaign in July 2006

The active galactic nucleus PG1553+113 was observed by the MAGIC telescope in July 2006 during a multiwavelength campaign, in which telescopes in the optical, X-ray, and very high energies participated. Although the MAGIC data were affected by strong atmospheric absorption (calima), they were analyzed after applying a correction. In 8.5 h, a signal was detected with a significance of 5.0 sigma. The integral flux above 150 GeV was (2.6 +/- 0.9) x 10(-7) ph s(-1) m(-2). By fitting the differential energy spectrum with a power law, a spectral index of -4.1 +/- 0.3 was obtained.
Knowledge Conceptualization Tool

Knowledge acquisition is one of the most important and problematic aspects of developing knowledge-based systems. Many automated tools have been introduced in the past, however, manual techniques are still heavily used. Interviewing is one of the most commonly used manual techniques for a knowledge acquisition process, and few automated support tools exist to help knowledge engineers enhance their performance. The paper presents a knowledge conceptualization tool (KCT) in which the knowledge engineer can effectively retrieve, structure, and formalize knowledge components, so that the resulting knowledge base is accurate and complete. The KCT uses information retrieval technique to facilitate conceptualization, which is one of the human intensive activities of knowledge acquisition. Two information retrieval techniques employing best-match strategies are used: vector space model and probabilistic ranking principle model. A prototype of the KCT was implemented to demonstrate the concept. The results from KCT are compared with the outputs from a manual knowledge acquisition process in terms of amount of information retrieved and the process time spent. An analysis of the results shows that the process time to retrieve knowledge components (e.g., facts, rules, protocols, and uncertainty) of KCT is about half that of the manual process, and the number of knowledge components retrieved from knowledge acquisition activities is four times more than that retrieved through a manual process.
Generalized Pair-Counting Similarity Measures for Clustering and Cluster Ensembles

In this paper, a number of pair-counting similarity measures associated with a general formulation of cluster ensemble are proposed. These measures are formulated based on our motivation to evaluate the consistency between an individual clustering solution and a cluster ensemble solution, or that between different cluster ensemble solutions, in a uniform manner. A number of criteria are proposed for the comparison of these generalized measures, from both the perspectives of theoretical analysis and experimental validation. We identify their different behaviors and their correlations in different scenarios of traditional clustering solutions and cluster ensembles, with the hope that the results of these studies could 1) serve as important criteria for the design and selection of evaluation measures for clustering solutions, and 2) provide explanations for ambiguous clustering results in related scenarios. Experiments with both synthetic and real data sets are conducted to verify our findings.
Role of CA‐125 in Identification of Right Ventricular Failure in Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is a progressive and debilitating disease. Cor pulmonale, characterized by right ventricular (RV) failure, can severely influence prognosis in these patients. Hence, early recognition might be important for tailoring therapy. An old biomarker, CA‐125, seems to be associated with the right heart. We aimed to show the relationship between CA‐125 levels and RV failure in patients with COPD.
Soybean [Glycine max (L.) Merrill] seed yield response to high temperature stress during reproductive growth stages.

Seed yield is vulnerable to temperature changes, especially during reproductive growth stage. Field study was conducted in 2009 and 2010, to determine the effects of high temperature stress during reproductive growth stage on soybean seed yield components and yield. The experiment comprised three soybean varieties viz., AGS190 (large seeded), Willis (medium seeded) and Dieng (small seeded) and three levels of temperature viz., T1 (control, ambient temperature), T2 (high temperature, around 30 degreesC and T3 (very high temperature, around 35 degreesC). The temperature treatments were exposed from R1 to R2 (term as R1-R2) or from R1 to R5 (term as R1-R5) reproductive growth stages. At the beginning of flowering, the entire plants were covered with single and double layers plastic case to create temperature of around 30 and 35 degreesC, respectively. The durations of temperature were 5 and 14 days for R1-R2 and R1-R5 growth stages, respectively. Results showed that longer exposure of plants (R1-R5 growth stages) to higher temperature had a more negative effect on seed yield components rather than shorter exposure (R1-R2 growth stages). There was a linear trend of seed yield components decline with increase in temperature in all varieties. At about 30 degreesC, yield components were not significantly affected over control (25 degreesC), whereas yield components were negatively and significantly affected at 35 degreesC at the both growth stages. Small seeded variety (Dieng) was less sensitive to deterioration in yield components to high temperature compared to large seeded genotype (AGS190). The differences in temperature sensitivity identified among varieties imply the possibility of selecting soybean genotypes with tolerance to elevated high temperature condition.
Bayesian Confidence Scoring and Adaptation Techniques for Speech Recognition

Bayesian combining of confidence measures is proposed for speech recognition. Bayesian combining is achieved by the estimation of joint pdf of confidence feature vector in correct and incorrect hypothesis classes. In addition, the adaptation of a confidence score using the pdf is presented. The proposed methods reduced the classification error rate by 18% from the conventional single feature based confidence scoring method in isolated word Out-of-Vocabulary rejection test.
Influence of mechanical impedance of human arm on the stability of haptic rendering

Research shows that haptic rendering leads to a more realistic virtual reality system. Being an important part of the system, human operator directly affects the stability of haptic rendering. In this paper, the influence of human, i.e., the mechanical impedance of his arm, on the stability of haptic rendering is studied through experiment with virtual wall haptic system based on FALCON device. Several subjects participate in the experiment and are instructed to a series of interactions with the virtual wall. During the interactions, different interference force fields are set to change the movement of the arm and the mechanical impedance of human arm is tuned by background force fields. Experiment results indicate that the influence brought by interference force are weakened by background force, which means the mechanical impedance of human arm h can be tuned and has the potential to improve the stability of haptic rendering systems.
Exploring graph-based global similarity estimates for quality recommendations

Data sparsity or the insufficiency of past user preferences in predicting future user needs continues to be a major challenge for RS engines. We propose a solution to the sparsity problem by exploring similarity measures that capture the global patterns of commonality between users or items by leveraging on indirect ways of connecting users items through a user item graph. Entities users or items sharing common features are connected to each other by edges weighted by their proximity or distance. Graph-based techniques, for estimating transitive similarity between entities not directly connected, are exploited to bring the entities closer thus facilitating collaboration. Furthermore, we also propose a combined user-item graph approach for exploiting the similarity between users preferring similar items and vice versa. In this work, we have suggested alternatives to the already existing global similarity assessment and we aim to investigate the appropriateness of the proposed techniques under differing data features.
A heuristic approach to grasp planning for a multifingered hand-arm robot based on the structure of empty space

This paper proposes a grasp planning for a multifingered hand-arm robot in the presence of obstacles. When the hand grasps an object, neither the hand nor the arm should collide with obstacles. However, it is very difficult to generate a collision-free grasp configuration of the hand-arm robot due to its abundant degrees of freedom of motion. To overcome this difficulty, we first decompose the hand-arm robot into the multifingered hand part and the arm part. We develop two methods of the grasp planning. In one method, a collision-free configuration of the hand part is planned first. Then, the arm configuration is planned so as to enable the hand configuration. In the other method, the collision-free configuration of the arm part is planned first and the multi-fingered hand configuration second. The best method is selected according to the space structure of the environment. Various heuristics are developed to improve the efficiency of the planning and implementation of the system. Simulation results are presented.
Wnt Genes in the Mouse Uterus: Potential Regulation of Implantation1

Abstract Wnt genes are involved in critical developmental and growth processes. The present study comprehensively analyzed temporal and spatial alterations in Wnt and Fzd gene expression in the mouse uterus during peri-implantation of pregnancy. Expression of Wnt4, Wnt5a, Wnt7a, Wnt7b, Wnt11, Wnt16, Fzd2, Fzd4, and Fzd6 was detected in the uterus during implantation. Wnt4 mRNA was most abundant in the decidua, whereas Wnt5a mRNA was restricted to the mesometrial decidua during decidualization. Wnt7a, Wnt7b, and Wnt11 mRNAs were abundantly detected in the endometrial epithelia. The expression of Wnt7b was robust in the luminal epithelium (LE) at the implantation site on Gestational Day 5, whereas Wnt11 mRNA disappeared in the LE adjacent to the embryo in the antimesometrial implantation chamber but remained abundant in the LE. Wnt16 mRNA was localized to the stroma surrounding the LE on Day 4 and remained in the stroma adjacent to the LE but not in areas undergoing the decidual reaction. Fzd2 mRNA was detected in the decidua, Fzd4 mRNA was in the vessels and stroma surrounding the embryo, and Fzd6 mRNA was observed in the endometrial epithelia, stroma, and some blood vessels during implantation. Ovarian steroid hormone treatment was found to regulate Wnt genes and Fzd receptors in ovariectomized mice. Especially, single injections of progesterone stimulated Wnt11 mRNA, and estrogen stimulated Wnt4 and Wnt7b. The temporal and spatial alterations in Wnt genes likely play a critical role during implantation and decidualization in mice.
Fe doped TiO2–graphene nanostructures: synthesis, DFT modeling and photocatalysis

In this work, Fe-doped TiO2 nanoparticles ranging from a 0.2 to 1 weight % were grown from the surface of graphene sheet templates containing –COOH functionalities using sol–gel chemistry in a green solvent, a mixture of water/ethanol. The assemblies were characterized by a variety of analytical techniques, with the coordination mechanism examined theoretically using the density functional theory (DFT). Scanning electron microscopy and transmission electron microscopy images showed excellent decoration of the Fe-doped TiO2 nanoparticles on the surface of the graphene sheets >5 nm in diameter. The surface area and optical properties of the Fe-doped photocatalysts were measured by BET, UV and PL spectrometry and compared to non-graphene and pure TiO2 analogs, showing a plateau at 0.6% Fe. Interactions between graphene and Fe-doped anatase TiO2 were also studied theoretically using the Vienna ab initio Simulation Package based on DFT. Our first-principles theoretical investigations validated the experimental findings, showing the strength in the physical and chemical adsorption between the graphene and Fe-doped TiO2. The resulting assemblies were tested for photodegradation under visible light using 17β-estradiol (E2) as a model compound, with all investigated catalysts showing significant enhancements in photocatalytic activity in the degradation of E2.
Kinesthetic Compensation for Sensorimotor Rearrangements

ABSTRACT The authors report a new sensorimotor phenomenon in which participants use hand-sensed kinesthetic information to compensate for rotational sensorimotor rearrangements. This compensation benefits from conscious awareness and is related to hand posture. The technique can reduce control inefficiency with some misalignments by as much as 64%. The results support Y. Guiard's (1987) suggestion that in bimanual tasks one hand provides an operational frame of reference for the other hand as in a closed kinematic chain. Results with right-handed participants show that the right and left hands are equally effective at providing such a cue. A constant-angular-targeting-error model, similar to that used for hand movements by H. Cunningham and I. Vardi (1990) and for walking by S. K. Rushton, J. M. Harris, M. R. Lloyd, and J. P. Wann (1998), is used to model the trajectories of targeting hand movements demonstrating the phenomenon. The model provides a natural parameter of the error.
Body Bias Domain Partitioning Size Exploration for a Coarse Grained Reconfigurable Accelerator

Body biasing can be used to control the leakage power and performance by changing the threshold voltage of transistors after fabrication. Especially, a new process called Silicon-On-Thin Box (SOTB) CMOS can control their balance widely. When it is applied to a Coarse Grained Reconfigurable Array (CGRA), the leakage power can be much reduced by precise bias control with small domain size including a small number of PEs. On the other hand, the area overhead for separating power domain and delivering a lot of wires for body bias voltage supply increases. This paper explores the grain of domain size of an energy efficient CGRA called CMA (Cool Mega Array). By using Genetic Algorithm based body bias assignment method, the leakage reduction of various grain size was evaluated. As a result, a domain with 2x1 PEs achieved about 40% power reduction with a 6% area overhead. It has appeared that a combination of three body bias voltages; zero bias, weak reverse bias and strong reverse bias can achieve the optimal leakage reduction and area overhead balance in most cases. key words: CGRA, body bias, power reduction, cool mega array
A user's personality prediction approach by mining network interaction behaviors on Facebook

Purpose For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality characteristics of the object of communication in order to employ an effective communication strategy. An enterprise needs to obtain the personality information of target or potential customers. However, the traditional method for personality evaluation is extremely costly in terms of time and labor, and it cannot acquire customer personality information without their awareness. Therefore, the manner in which to effectively conduct automated personality predictions for a large number of objects is an important issue. The paper aims to discuss these issues. Design/methodology/approach The diverse social media that have emerged in recent years represent a digital platform on which users can publicly deliver speeches and interact with others. Thus, social media may be able to serve the needs of automated personality predictions. Based on user data of Facebook, the main social media platform around the world, this research developed a method for predicting personality types based on interaction logs. Findings Experimental results show that the Naive Bayes classification algorithm combined with a feature selection algorithm produces the best performance for predicting personality types, with 70-80 percent accuracy. Research limitations/implications In this research, the dominance, inducement, submission, and compliance (DISC) theory was used to determine personality types. Some specific limitations were encountered. As Facebook was used as the main data source, it was necessary to obtain related data via Facebook’s API (FB API). However, the data types accessible via FB API are very limited. Practical implications This research serves to build a universal model for social media interaction, and can be used to propose an efficient method for designing interaction features. Originality/value This research has developed an approach for automatically predicting the personality types of network users based on their Facebook interactions.
Agile Forward: a simple toolkit for process improvement

A medida que as metodologias ageis amadurecem e a sua adopcao bem sucedida se torna cada vez mais presente na industria de software, as equipas ficam mais receptivas e capazes de responder a mudanca. A adopcao de metodologias ageis nao pode ser vista como um fim em si mesma, tem que ser vista como uma mentalidade que faca as equipas continuar a melhorar de forma a serem mais previsiveis, a produzirem mais rapidamente e com maior qualidade. Para atingir este objectivo, as metodologias ageis, p. ex. Scrum, incluem praticas tais como as retrospectivas que continuamente desafiam as equipas a encontrar formas de melhorar. No entanto, muitas equipas falham na deteccao de areas importantes onde podem melhorar.Este trabalho foca nas actividades de melhoria do processo agil de desenvolvimento de software, da analise a fase de planeamento concreto e implementacao, com o objectivo de perceber o fenomeno geral: obstaculos chave, praticas comuns e recomendacoes. Nomeadamente, define-se e propoe-se um kit de ferramentas pratico para ajudar Scrum Masters, e outros participantes importantes, a detectar problemas, recolhendo dados relevantes, encontrando solucoes concretas e pondo-as em pratica.Este trabalho foi baseado num caso de estudo conduzido na Zendesk Dinamarca onde diferentes metodos, ferramentas, praticas e tecnicas foram exploradas e aplicadas de forma a melhorar o seu processo.Um metodo de investigacao-accao foi usado seguindo uma metodologia iterativa de melhoria onde o investigador e os praticantes trabalharam juntos para resolver o problema. O kit proposto foi depois validado com outras equipas ageis.