Miracle-dz/UniFAR-FTUs huggingface dataset:
REGENERATING ADULT COCKROACH DORSAL UNPAIRED MEDIAN NEURONES IN VITRO RETAIN THEIR IN VIVO MEMBRANE CHARACTERISTICS

The ability of differentiated neurones to recover from disease or injury depends upon both intrinsic and extrinsic factors. Whereas most mammalian neurones have a limited capacity for regeneration, regulated, in part, by physical and chemical cues in the brain microenvironment (Bray et al. 1987; Caroni and Schwab, 1988, 1989), invertebrates, and in particular insects, exhibit a far greater capacity for repair of central neurones and circuits (Treherne et al. 1988). Studies of the cues that regulate the regenerative process are made easier by the use of individual, identified neurones, cultured under controlled conditions. Invertebrates are particularly useful in this regard; neurones from mature nervous systems of both annelids and molluscs have been grown successfully in culture and their growth can be influenced by changes in the culture conditions (Acklin and Nicholls, 1990; Dagan and Levitan, 1981; Ready and Nicholls, 1979; Syed et al. 1990). Routine and long-term culture of identified neurones from the insect central nervous system (CNS) has proved more elusive, preventing the use of neurones from these well-studied systems. Recently, however, cultures of cockroach (Howes et al. 1991), locust (Kirchoff and Bicker, 1992) and moth (Hayashi and Levine, 1992) adult neurones have been described.
Do auditor and CFO gender matter to earnings quality? Evidence from Sweden

Purpose This study aims to examine the association between auditor and chief financial officer (CFO) gender and earnings quality, utilising data from Sweden. This study also aims to examine whether interactions between auditor and CFO, which may affect a firm’s earnings quality, are associated with their gender. These aims are inspired by the notion that gender differences will be overruled by the rewards and socialisation into the occupational roles as suggested by the structural approach to gender. Design/methodology/approach This study uses a multivariate regression model to test its hypotheses. The sample consists of 976 firm-year observations covering the period 2008 to 2013. Findings The results show that gender of the auditor and CFO is not associated with earnings quality, and the interactions between auditors and CFOs, which may affect earnings quality, are not associated with their gender. Consequently, the results give tentative support for the structural approach in gender studies in the accounting and auditing field. Research limitations/implications This study indicates that future research in gender studies should consider the structural approach based on the argument of gender similarities. This approach contends that work-related behaviour of women will more resemble men, and this is caused by the socialisation process into the occupational role and the structure where they work (e.g. organisational and professional culture, work conditions, a compensation scheme, national culture, etc.) instead of gender. Originality/value This study contributes to the understanding whether gender – auditor and CFO gender – is associated with firms’ earnings quality and standing whether the interactions between auditor and CFO are associated with their gender, something that, to the best of the authors’ knowledge, has not been tested previously. It also re-introduces the structural approach within the gender research in the accounting and auditing field.
A Novel Pathway for Presynaptic Mitogen-Activated Kinase Activation via AMPA Receptors

AMPA-type glutamate receptors play a key role in mediating postsynaptic responses of excitatory neurotransmitters. It is now well accepted that AMPA receptors are also present at the presynapse, where they are thought to modulate neurotransmitter release. However, the mechanisms through which they control synaptic vesicle traffic have remained elusive. We used cultured hippocampal neurons and growth cone particles prepared from fetal rat brain to investigate the functional role of presynaptic AMPA receptors. We show here that stimulation of presynaptic AMPA receptors induces activation of mitogen-activated protein kinase (MAPK) through a nonreceptor tyrosine kinase-dependent and Na+/Ca2+-independent mechanism. This pathway is activated predominantly in axonal growth cones compared with the somatodendritic compartment. After stimulation of presynaptic AMPA receptors, synapsin I is phosphorylated at MAPK-specific sites. These events are paralleled by a prominent increase in evoked synaptic vesicle recycling that is blocked by the specific MAPK inhibitor 2-(2-amino-3-methoxyphenyl)-4H-1-benzopyran-4-one. Similarly, in synaptosomes isolated from adult brain, AMPA stimulation induces MAPK activation and phosphorylation of synapsin I at MAPK-dependent sites and enhances significantly synaptic vesicle recycling. These results reveal a novel pathway for activation of presynaptic MAPK and suggest a role of this pathway in the regulation of short-term presynaptic plasticity.
Family models of independence/interdependence and their intergenerational similarity in Germany, Turkey, and India

Family change theory suggests three ideal-typical family models characterized by different combinations of emotional and material interdependencies in the family. Its major proposition is that in economically developing countries with a collectivistic background a family model of emotional interdependence emerges from a family model of complete interdependence. The current study aims to identify and compare patterns of family-related value orientations related to family change theory across three cultures and two generations. Overall, N = 919 dyads of mothers and their adolescent children from Germany, Turkey, and India participated in the study. Three clusters were identified representing the family models of independence, interdependence, and emotional interdependence, respectively. Especially the identification of an emotionally interdependent value pattern using a person-oriented approach is an important step in the empirical validation of family change theory. The preference for the three family models differed across as well as within cultures and generations according to theoretical predictions. Dyadic analyses pointed to substantial intergenerational similarities and also to differences in family models, reflecting both cultural continuity as well as change in family-related value orientations.
Enzymatic Saccharification of Lignocellulosic Residues by Cellulases Obtained from Solid State Fermentation Using Trichoderma viride

The aim of this study was to verify the viability of lignocellulosic substrates to obtain renewable energy source, through characterization of the cellulolytic complex, which was obtained by solid state fermentation using Trichoderma viride. Enzymatic activity of the cellulosic complex was measured during saccharification of substrates filter paper, eucalyptus sawdust, and corncob, and compared with the activity of commercial cellulase. The characterization of the enzymes was performed by a 22 Full Factorial Design, where the pH and temperature were the variables of study. Enzymatic saccharification of different substrates appearedviable until 12 to be viable until 12 h; after this period the activity decreased for both enzymatic forms (cellulolytic complex and commercial cellulase). The enzymatic activity of the commercial cellulase was favored with the use of corncob as substrate, while the cellulolytic complex does not show any difference in its specificity by the substrates studied. The largest activities of both enzymes were obtained in the temperature and pH range between 40°C and 50°C and 4.8 and 5.2, respectively. The cellulolytic complex obtained appeared to be viable for the saccharification of lignocellulosic residues compared with the commercial cellulase.
A mixed methods study of the factors that influence whether intervention research has policy and practice impacts: perceptions of Australian researchers

Objectives To investigate researchers’ perceptions about the factors that influenced the policy and practice impacts (or lack of impact) of one of their own funded intervention research studies. Design Mixed method, cross-sectional study. Setting Intervention research conducted in Australia and funded by Australia's National Health and Medical Research Council between 2003 and 2007. Participants The chief investigators from 50 funded intervention research studies were interviewed to determine if their study had achieved policy and practice impacts, how and why these impacts had (or had not) occurred and the approach to dissemination they had employed. Results We found that statistically significant intervention effects and publication of results influenced whether there were policy and practice impacts, along with factors related to the nature of the intervention itself, the researchers’ experience and connections, their dissemination and translation efforts, and the postresearch context. Conclusions This study indicates that sophisticated approaches to intervention development, dissemination actions and translational efforts are actually widespread among experienced researches, and can achieve policy and practice impacts. However, it was the links between the intervention results, further dissemination actions by researchers and a variety of postresearch contextual factors that ultimately determined whether a study had policy and practice impacts. Given the complicated interplay between the various factors, there appears to be no simple formula for determining which intervention studies should be funded in order to achieve optimal policy and practice impacts.
Early Detection and Mitigation of Resistance to Bt Maize by Western Corn Rootworm (Coleoptera: Chrysomelidae)

Abstract Transgenic Bt maize that produces less than a high-dose has been widely adopted and presents considerable insect resistance management (IRM) challenges. Western corn rootworm, Diabrotica virgifera virgifera LeConte, has rapidly evolved resistance to Bt maize in the field, leading to local loss of efficacy for some corn rootworm Bt maize events. Documenting and responding to this resistance has been complicated by a lack of rapid diagnostic bioassays and by regulatory triggers that hinder timely and effective management responses. These failures are of great concern to the scientific and agricultural community. Specific challenges posed by western corn rootworm resistance to Bt maize, and more general concerns around Bt crops that produce less than a high-dose of Bt toxin, have caused uncertainty around current IRM protocols. More than 15 years of experience with IRM has shown that high-dose and refuge-based IRM is not applicable to Bt crops that produce less than a high-dose. Adaptive IRM approaches and pro-active, integrated IRM-pest management strategies are needed and should be in place before release of new technologies that produce less than a high-dose. We suggest changes in IRM strategies to preserve the utility of corn rootworm Bt maize by 1) targeting local resistance management earlier in the sequence of responses to resistance and 2) developing area-wide criteria to address widespread economic losses. We also favor consideration of policies and programs to counteract economic forces that are contributing to rapid resistance evolution.
A Stochastic Neuron Model for Finding a Near-Maximum Independent Set of a Circle Graph

In this paper, we present a novel binary neuron model called stochastic neuron model for the Hopfield neural network. In order to avoid the inherent local minima problem of the Hopfield neural network, in the proposed neuron model, a stochastic mechanism is introduced into the input/output function of the neuron model. By means of the stochastic neuron model, the neuron network is allowed to jump to configurations of higher energy, occasionally. As a result, it is probable that the neural network escape from the state of the local minimum to a better state or the state of global minimum. Then, the characteristic of the stochastic neuron model is presented theoretically. To test the effectiveness of the proposed neuron model, we applied the stochastic neuron model to the maximum independent problem. A large number of instances are simulated to verify the proposed method, and the simulation results show that the proposed method is superior to that of best existing parallel algorithm.
Could Fisher, Jeffreys and Neyman Have Agreed on Testing?

Ronald Fisher advocated testing using p-values, Harold Jeffreys proposed use of objective posterior probabilities of hypotheses and Jerzy Neyman recommended testing with fixed error probabilities. Each was quite critical of the other approaches. Most troubling for statistics and science is that the three approaches can lead to quite different practical conclusions. This article focuses on discussion of the conditional frequentist approach to testing, which is argued to provide the basis for a methodological unification of the approaches of Fisher, Jeffreys and Neyman. The idea is to follow Fisher in using p-values to define the "strength of evidence" in data and to follow his approach of conditioning on strength of evidence; then follow Neyman by computing Type I and Type II error probabilities, but do so conditional on the strength of evidence in the data. The resulting conditional frequentist error probabilities equal the objective posterior probabilities of the hypotheses advocated by Jeffreys.
Robust Repetition Attenuation 1

In the scene task, RTs were faster for the identical than for the very similar condition (p < 0.02), although error rates did not differ between these two conditions (p > 0.22); RTs and error rates did not differ significantly between the less similar and the different conditions (p > 0.68 for RTs and p > 0.10 for errors). In the image task, error rates were lower for the identical than for the very similar condition (p < 0.05), although RTs did not differ between these two conditions (p > 0.15); RTs were faster and error rates were lower for the different than for the less similar condition (p < 0.03 for RTs and p < 0.02 for errors) (see Supplementary Figures 1A & 1B). fMRI Results In both tasks, PPA responses did not differ significantly between the very similar and the identical conditions (p > 0.63 for the scene task and p > 0.12 for the image task), and did not differ significantly between the less similar and the different conditions (p > 0.21 for the scene task and p > 0.76 for the image task) (see Supplementary Figure 1C). These results are consistent with our main findings and show that PPA responses reflect the similarity between image pairs. In exploratory analyses, we identified two brain regions that mirrored the behavioral response pattern (greater response for the less similar than the very similar conditions in the scene task, and lower response for the less similar than the very similar conditions in the image task), namely, the ACC and the left insula. In both tasks, ACC
INFORMATION TECHNOLOGY ACCEPTANCE

Many researchers have investigated the acceptance of information technology in a wide range of organizational contexts and subject domains. However, the prominent model frameworks seem to view the phenomenon through specific and rather restricted lenses. The objectives of this research study are thus to examine and develop an integrated model that explains information technology acceptance from several perspectives within a particular organizational context, and to determine whether the model explains adoption behavior over time. An integrated model that is composed of the social perspective (subjective norm), the technology perspective (perceived usefulness and perceived ease of use), and the-self perspective (computer self-efficacy) better explains information technology acceptance than the models commonly used in past information technology research. A longitudinal field study shows that the key determinants of intention to use a system diminish in effect over a prolonged period. Some implications of these findings for academics and practitioners in designing and implementing information technology strategies are presented.
Fast and accurate ground plane detection for the visually impaired from 3D organized point clouds

Detecting the ground plane is a prior stage to obstacle avoidance systems for the visually impaired. The ground plane is where the visually impaired can move on. This paper presents an algorithm that help the visually impaired navigate in a fast, safe, reliable and independent way. Using RGB-D scanners, enhanced RANdom SAmple Consensus (RANSAC) algorithm is proposed to eliminate the common RANSAC problems. The proposed algorithm is able to detect the ground plane and obstacles that face the visually impaired. The proposed algorithm consists of three main stages: data preprocessing, ground plane segmentation and object detection. Two sets of experiments have been made using two datasets and real world data. The results show accuracy (99.9%) and speed (21Hz) of our proposed algorithm.
APPLICATION OF SUPPLY CHAIN MANAGEMENT 
IN CONSTRUCTION INDUSTRY

The application of the supply chain management (SCM) in industry has achieved much success, especially in the manufacturing sector. In the current market, the Vietnamese construction companies must compete not only with domestic companies but also with foreign ones, the application of SCM is essential to improve efficiency and increase their competitive advantage. In this paper, a survey was carried out to identify factors that cause limitation in applying SCM to the Vietnamese construction industry. A qualitative approach was based on prime contractor’s perspective at the construction phase of the project. The survey questionnaire was designed by synthesizing and inheriting the previous studies and consultation with experts. The survey participants are those who have had working experience with main contractors and joined in the construction projects. The face-to-face interviews were conducted to collect data. Descriptive statistics analysis and Exploratory Factor Analysis (EFA) were used to analyze data. The results indicated seven leading causes which limited the application of SCM in the construction industry.
Adaptation Shifts Preferred Orientation of Tuning Curve in the Mouse Visual Cortex

In frontalized mammals it has been demonstrated that adaptation produces shift of the peak of the orientation tuning curve of neuron following frequent or lengthier presentation of a non-preferred stimulus. Depending on the duration of adaptation the shift is attractive (toward the adapter) or repulsive (away from the adapter). Mouse exhibits a salt-and-pepper cortical organization of orientation maps, hence this species may respond differently to adaptation. To examine this question, we determined the effect of twelve minutes of adaptation to one particular orientation on neuronal orientation tuning curves in V1 of anesthetized mice. Multi-unit activity of neurons in V1 was recorded in a conventional fashion. Cells were stimulated with sine-wave drifting gratings whose orientation tilted in steps. Results revealed that similarly to cats and monkeys, majority of cells shifted their optimal orientation in the direction of the adapter while a small proportion exhibited a repulsive shift. Moreover, initially untuned cells showing poor tuning curves reacted to adaptation by displaying sharp orientation selectivity. It seems that modification of the cellular property following adaptation is a general phenomenon observed in all mammals in spite of the different organization pattern of the visual cortex. This study is of pertinence to comprehend the mechanistic pathways of brain plasticity.
CMOS based compact wide band tunable active inductor design

This paper presents a compendious architecture of an active tunable inductor with precise and wide tunability over its inductance value. Proposed tunable inductor requires only 3Ts (three transistors) to implement the design which reduces the transistor count as compared to 5Ts and 10Ts designs already available in literature. Broader range (35 GHz to 46 GHz) of linear operation with high quality factor (Q) is also obtained from the design presented. The achieved magnitude of impedance ranges from 2.6 KΩ to 6.1 KΩ for frequency variation of 25 GHz to 60 GHz. Further, maximum quality factor is obtained for input current of 62.3 μA. Apart from these, the proposed active inductor circuit is suited for high frequency operations up to 50 GHz. Further, this paper also compares the proposed inductor design with the designs already reported. The simulation results have been extensively verified using Virtuoso Analog Design Environment of Cadence Design System @ 45-nm technology node.
Mining Regular Patterns in Incremental Transactional Databases

Recently proposed regular pattern mining provides an effective technique to find patterns occurring at regular interval in a static database. However, the occurrence characteristic of patterns may change significantly with the update of database. Therefore, this paper proposes the Incremental Regular Pattern Tree (IncRT) and a pattern growth mining technique to find regular patterns on incremental transactional databases. Experiment results show the effectiveness of the proposed method.
Evaluating the Awareness and Perceptions of Lecturers in using E-Learning Tools for Teaching in University of Cape Coast

E-learning has become increasingly important in the contemporary universal-access of education especially at the tertiary level, and can provide a strategic and competitive advantage to a university such as the University of Cape Coast (UCC). The objective of the study was to assess the awareness and perceptions of lecturers in using e-learning tools for instructional delivery in the University of Cape Coast. Specifically, the study sought to investigate the state of the awareness and perceptions of lecturers in incorporating e-learning tools in their lesson preparation and delivery. The target population was lecturers of UCC and responses were obtained from 128 lecturers who were randomly sampled for the study. The study revealed among other things that, many lecturers fail to use e-learning tools because they are not proficient in using them. Nevertheless, they are ready or willing to participate in programmes to equip them with the requisite skills that will make them proficient in using the elearning tools. The study recommends among other things that the Computer Centre of the University should educate the lecturers on e-learning and give them the necessary training that will equip them in using the e-learning platform (Moodle) that the university had installed since 2007. Also, the University should provide reliable Internet and computer access coupled with adequate technologically enhanced classrooms and laboratories to facilitate the integration and use of elearning tools by lecturers in their instructional delivery.