Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Evaluation of A Comprehensive Greenhouse Climate Control System Using Artificial Neural Network

Development of controlled environment in greenhouse is of prim importance for out of season production, increasing yield and enhancing the quality of produce. Due to high cost and impossibility of continuous human attendance in greenhouse, it is desirable to control the greenhouse environment by employing automatic control devices. In This study, the greenhouse conditions were controlled by using artificial neural network (ANN). First, an experimental greenhouse was built and equipped with control instruments. Then by using electronic sensors, some climatic parameter data (temperature, humidity, carbon dioxide and light index) were measured and saved during five minute periods. In the next stage, three types of ANN including feed forward neural networks with multiple delays in the input, two-layer neural network with a feedback from hidden layer and input delay and three-layer neural network with two feedbacks from hidden layers and input delay were trained by 66% of the recorded data, and were evaluated by using the remaining data. The three-layer neural network with two feedbacks from hidden layers and input delay was able to better predict humidity and light index of the greenhouse with MSE,s of 0.025 and 0.032, respectively. Temperature and infrared index were better predicted by using the feed forward neural networks with multiple delays in the input with MSE,s of 0.016 and 0.017, respectively. In all cases, training time was less than 14 minutes and simulation time being always less than 0.2 second, makes using neural network feasible for automatic control of greenhouse.
Stiffness-oriented cable tension distribution algorithm for a 3-DOF Cable-driven variable-stiffness module

A modular cable-driven manipulator that consists of cable-driven joint modules can produce intrinsically-safe motions because of its light-weight structure and variable-stiffness property. In this paper, we focus on the issue of stiffness-oriented cable tension distribution for a 3-DOF 6-cable Cable-driven Spherical Joint Module (CSJM), which is modeled as a convex optimization problem. An algorithm based on Lagrange multiplier method and Karush-Kuhn-Tucker (KKT) Condition is employed to find the optimal cable tension solution. To validate the proposed algorithm, a simulation example with four cases is carried out. The result shows that the required stiffness can be successfully achieved through cable tension regulation.
Organizational Identity, Image, and Adaptive Instability

Organizational identity usually is portrayed as that which is core, distinctive, and enduring about the character of an organization. We argue that because of the reciprocal interrelationships between identity and image, organizational identity, rather than enduring, is better viewed as a relatively fluid and unstable concept. We further argue that instead of destabilizing an organization, this instability in identity is actually adaptive in accomplishing change. The analysis leads to some provocative, but nonetheless constructive, implications for theory, research, and practice.
Oxygen consumption rates in hovering hummingbirds reflect substrate-dependent differences in P/O ratios: carbohydrate as a `premium fuel'

SUMMARY The stoichiometric relationship of ATP production to oxygen consumption, i.e. the P/O ratio, varies depending on the nature of the metabolic substrate used. The latest estimates reveal a P/O ratio approximately 15% higher when glucose is oxidized compared with fatty acid oxidation. Because the energy required to produce aerodynamic lift for hovering is independent of the metabolic fuel oxidized, we hypothesized that the rate of oxygen consumption, V̇O2, should decline as the respiratory quotient, RQ (V̇CO2/V̇O2), increases from 0.71 to 1.0 as hummingbirds transition from a fasted to a fed state. Here, we show that hovering V̇O2 values in rufous (Selasphorus rufus) and Anna's hummingbirds (Calypte anna) are significantly greater when fats are metabolized (RQ=0.71) than when carbohydrates are used (RQ=1.0). Because hummingbirds gained mass during our experiments, making mass a confounding variable, we estimated V̇O2 per unit mechanical power output. Expressed in this way, the difference in V̇O2 when hummingbirds display an RQ=0.71 (fasted) and an RQ=1.0 (fed) is between 16 and 18%, depending on whether zero or perfect elastic energy storage is assumed. These values closely match theoretical expectations, indicating that a combination of mechanical power estimates and `indirect calorimetry', i.e. the measurement of rates of gas exchange, enables precise estimates of ATP turnover and metabolic flux rates in vivo. The requirement for less oxygen when oxidizing carbohydrate suggests that carbohydrate oxidation may facilitate hovering flight in hummingbirds at high altitude.
Subverting space: Private, public and power in three Czechoslovak films from the 1960s and ‘70s

ABSTRACT This article focuses on three Czechoslovak films from the communist era: two New Wave features, Ostře sledované vlaky/Closely Observed Trains (Jiří Menzel, 1966) and O slavnosti a hostech/The Party And The Guests (Jan Němec, 1966), plus a key post-Prague Spring film, Ucho/The Ear (Karel Kachyňa, 1970). All three films were banned following the 1968 Soviet invasion. This article argues that the films' subversive content is primarily articulated through spatial strategies. Specifically, the article examines a filmic discourse of political and social subversion, which hinges on the negotiation and appropriation of space. Starting from the notion that space is produced by social agency and interaction, and from Michel Foucault's assertion that ‘we do not live inside a void, inside of which we could place individuals and things […] we live inside a set of relations’, this article will look at the dynamic relationship of the films’ characters to their allotted spatial situations.
University corporatisation: The effect on academic work‐related attitudes

Purpose - The purpose of this paper is to examine the work-related attitudes (job satisfaction, job stress and the propensity to remain) of Australian academics and their association with organisational, institutional and demographic factors. Design/methodology/approach - Data were collected by distributing a survey questionnaire to 750 academics, from 37 Australian universities. Findings - The results indicate a moderately low level of job satisfaction, moderately high level of job stress, and high propensity to remain. The findings reveal that the organisational factors (management style, perceived organisational support, and the characteristics of the performance management system) exhibited the most significant association with academic work-related attitudes, with the only significant institutional factor, the declining ability of students, negatively impacting on job satisfaction and job stress. The findings revealed that work-related attitudes differ, based on discipline, with science academics found to be more stressed and less satisfied than accounting academics. Different organisational and institutional factors were associated with the work-related attitudes of academics from these two disciplines. Practical implications - The findings will make university management aware of the work-related attitudes of staff, and the factors that are associated with such attitudes, thereby assisting management in developing management policies, and taking appropriate action to address the concerns of staff. Originality/value - The study provides an initial comparison of the work-related attitudes (job satisfaction, job stress, and propensity to remain) of Australian academics across the accounting and science disciplines. The study also provides an important insight into the association between specific organisational and institutional factors, with the work-related attitudes of Australian academics across both disciplines.
From RTL IP to functional system-level models with extra-functional properties

The paper presents a novel abstraction methodology for generating time- and power-annotated TLM models from synthesizable RTL descriptions. The proposed techniques allow the integration of existing RTL IP components into virtual platforms for early software development and platform design, configuration, and exploration. With the proposed approach, IP models can be natively integrated into SystemC TLM-2.0 platforms and executed 10-1000 times faster compared to state-of-the-art RTL simulators. The abstraction methodology guarantees preservation of the behaviour and timing of the RTL models. Target technology dependent power properties of IP components are represented as power state-machines and integrated into the abstracted TLM models. The experimental results show a relative error less than 10\% of the abstracted model's power consumption compared to state-of-the-art RTL power simulators. The evaluation has been performed on RTL IP components with different characteristics and demonstrates the effectiveness of the presented abstraction methodology.
Concurrent engineering teams I: organizational determinants of usage

Purpose – This article is the first in a two‐part discussion of the determinants and performance consequences of concurrent engineering (CE) team usage in organizations. The purpose of this first article is to develop a model of the organizational factors that influence the extent that CE teams are used when developing new products.Design/methodology/approach – To test the model, 2,500 questionnaires were mailed to new product development (NPD) managers from the machinery, computer product, electrical equipment, and transportation equipment manufacturing industries, of which 189 usable questionnaires were returned, for a usable response rate of 7.5 percent. The data were analyzed using structural equation modeling with partial least squares.Findings – Results indicate that an innovative organizational climate and complex NPD activities both influence the extent that organizations support functional integration on NPD teams, and this support, in turn, influences the extent that organizations use CE teams.
Parvalbumin-containing interneurons do not innervate granule cells in the olfactory bulb

Combining pre-embedding parvalbumin immunostaining and post-embedding immunogold detection of GABA in the olfactory bulb, we investigated whether the parvalbumin-containing GABAergic interneurons of the external plexiform layer exclusively innervate principal cells, or whether they also establish inhibitory synapses upon GABAergic local neurons such as granule cells. Our results demonstrate that the parvalbumin-containing cells do not contact GABAergic interneurons in the neuropil of the external plexiform layer. On the contrary, their postsynaptic elements were always non-GABAergic principal cells. Although classically it has been accepted that the interneurons of the external plexiform layer could exert a disinhibitory action upon principal cells, via inhibition of GABAergic granule cells, we conclude that they exert a feedback inhibitory action directly and exclusively upon principal cells.
Semantic Tagging for the Penn Treebank

This paper describes the methodology that is being used to augment the Penn Treebank annotation with sense tags and other types of semantic information. Inspired by the results of SENSEVAL, and the high inter-annotator agreement that was achieved there, similar methods were used for a pilot study of 5000 words of running text from the Penn Treebank. Using the same techniques of allowing the annotators to discuss difficult tagging cases and to revise WordNet entries if necessary, comparable inter-annotator rates have been achieved. The criteria for determining appropriate revisions and ensuring clear sense distinctions are described. We are also using hand correction of automatic predicate argument structure information to provide additional thematic role labeling.
Outcomes of Biomarker Feedback on Physical Activity, Eating Habits, and Emotional Health: From the Americans in Motion-Healthy Intervention (AIM-HI) Study

Purpose: The purpose of this article was to test whether physical activity, healthy eating, and emotional well-being would improve if patients received feedback about biomarkers that have been shown to be responsive to changes in weight and fitness. Methods: Patients were randomized to limited feedback (weight, body mass index [BMI], and blood pressure at 4 and 10 months) or enhanced feedback (weight, BMI, blood pressure, homeostatic insulin resistance, and nuclear magnetic resonance lipoprotein profiles at 2, 4, 7, and 10 months). Repeated measures mixed effects multivariate regression models were used to determine whether BMI, fitness, diet, and quality of life changed over time. Results: Major parameters were similar in both groups at baseline. BMI, measures of fitness, healthy eating, quality of life, and health state improved in both patient groups, but there was no difference between patient groups at 4 or 10 months. Systolic blood pressure improved in the enhanced feedback group, and there was a difference between the enhanced and limited feedback groups at 10 months (95% confidence interval, −6.011 to −0.5113). Conclusions: Providing patients with enhanced feedback did not dramatically change outcomes. However, across groups, many patients maintained or lost weight, suggesting the need for more study of nondiet interventions.
IO-DSSE: Scaling Dynamic Searchable Encryption to Millions of Indexes By Improving Locality

Free cloud-based services are powerful candidates for deploying ubiquitous encryption for messaging. In the case of email and increasingly chat, users expect the ability to store and search their messages persistently. Using data from a major mail provider, we confirm that for a searchable encryption scheme to scale to millions of users, it should be highly IO-efficient (locality) and handle a very dynamic message corpi. We observe that existing solutions fail to achieve both properties simultaneously. We then design, build, and evaluate a provably secure Dynamic Searchable Symmetric Encryption (DSSE) scheme with significant reduction in IO cost compared to preceding works when used for email or other highly dynamic material.
Therapeutic effects of oral liothyronine on aluminum phosphide poisoning as an adjuvant therapy

Background: In aluminum phosphide (AlP) poisoning, death is mainly due to cardiovascular failure and refractory acute heart failure. There is a lot of evidence showing thyroid hormones have cardioprotective effects. Objective: The purpose of this study was to evaluate the effect of oral liothyronine in the treatment of AlP poisoning. Methods: Twenty-four patients from intensive care unit of Baharloo Hospital, Tehran, Iran, were included based on the inclusion and exclusion criteria. They were randomly divided into two parallel groups of 12 cases and 12 controls. Intervention in the case group was administration of 50 µg liothyronine via nasogastric tube after gastric lavage, in the first 6 h of poisoning. In both groups, the routine treatment of AlP poisoning was performed. Blood samples were prepared at the beginning of the study and after 12 h. Patients were followed up till discharge from the hospital or death. Results: The findings demonstrated that oral liothyronine was able to significantly improve systolic blood pressure, arterial blood pH, and total thiol molecules and also could decrease lipid peroxidation, increase catalase activity, and prevent further decline in total antioxidant capacity. Conclusion: Liothyronine administration is effective in controlling AlP poisoning and can improve patients’ outcome.
THE PATHOMECHANICAL ETIOLOGY OF POST-TRAUMATIC OSTEOARTHRITIS FOLLOWING INTRAARTICULAR FRACTURES

Many intra-articular fracture patients eventually experience significant functional deficits, pain, and stiffness from post-traumatic osteoarthritis (PTOA). Over the last several decades, continued refinement of surgical reconstruction techniques has failed to markedly improve patient outcomes. New treatment paradigms are needed - ideally, bio/pharmaceutical. Progress in that direction has been impeded because the pathomechanical etiol-ogy of PTOA development is poorly understood. In particular, the relative roles and pathomechanisms of acute joint injury (from the initial trauma) versus chronic contact stress elevation (from residual incongruity) are unknown, primarily because there have been no objective methods for reliably quantifying either of these insult entities. Over the past decade, novel enabling technologies have been developed that provide objective biomechanical indices of injury severity and of chronic contact stress challenge to fractured joint surfaces. The severity of the initial joint injury is indexed primarily on the basis of the energy released in fracture, obtained from validated digital image analysis of CT scans. Chronic contact stress elevations are indexed by patient-specific finite element stress analysis, using models derived from post-reduction CT scans. These new measures, conceived in the laboratory, have been taken through the stage of validation, and then have been applied in studies of intra-articular fracture patients, to relate these biomechanical indices of cartilage insult to the incidence and severity of PTOA This body of work has provided a novel framework for developing and testing new approaches to forestall PTOA following intra-articular fractures.
Synthesis and Characterization of Nanofibrous Polyaniline Thin Film Prepared by Novel Atmospheric Pressure Plasma Polymerization Technique

This work presents a study on the preparation of plasma-polymerized aniline (pPANI) nanofibers and nanoparticles by an intense plasma cloud type atmospheric pressure plasma jets (iPC-APPJ) device with a single bundle of three glass tubes. The nano size polymer was obtained at a sinusoidal wave with a peak value of 8 kV and a frequency of 26 kHz under ambient air. Discharge currents, photo-sensor amplifier, and optical emission spectrometer (OES) techniques were used to analyze the plasma produced from the iPC-APPJ device. Field emission scanning electron microscopy (FE-SEM), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT-IR), gas chromatography-mass spectrometry (GC-MS), and gel permeation chromatography (GPC) techniques were used to analyze the pPANI. FE-SEM and TEM results show that pPANI has nanofibers, nanoparticles morphology, and polycrystalline characteristics. The FT-IR and GC-MS analysis show the characteristic polyaniline peaks with evidence that some quinone and benzene rings are broken by the discharge energy. GPC results show that pPANI has high molecular weight (Mw), about 533 kDa with 1.9 polydispersity index (PDI). This study contributes to a better understanding on the novel growth process and synthesis of uniform polyaniline nanofibers and nanoparticles with high molecular weights using the simple atmospheric pressure plasma polymerization technique.
Toward a Theory of Visual Consciousness

The visual brain consists of several parallel, functionally specialized processing systems, each having several stages (nodes) which terminate their tasks at different times; consequently, simultaneously presented attributes are perceived at the same time if processed at the same node and at different times if processed by different nodes. Clinical evidence shows that these processing systems can act fairly autonomously. Damage restricted to one system compromises specifically the perception of the attribute that that system is specialized for; damage to a given node of a processing system that leaves earlier nodes intact results in a degraded perceptual capacity for the relevant attribute, which is directly related to the physiological capacities of the cells left intact by the damage. By contrast, a system that is spared when all others are damaged can function more or less normally. Moreover, internally created visual percepts-illusions, afterimages, imagery, and hallucinations-activate specifically the nodes specialized for the attribute perceived. Finally, anatomical evidence shows that there is no final integrator station in the brain, one which receives input from all visual areas; instead, each node has multiple outputs and no node is recipient only. Taken together, the above evidence leads us to propose that each node of a processing-perceptual system creates its own microconsciousness. We propose that, if any binding occurs to give us our integrated image of the visual world, it must be a binding between microconsciousnesses generated at different nodes. Since any two microconsciousnesses generated at any two nodes can be bound together, perceptual integration is not hierarchical, but parallel and postconscious. By contrast, the neural machinery conferring properties on those cells whose activity has a conscious correlate is hierarchical, and we refer to it as generative binding, to distinguish it from the binding that might occur between the microconsciousnesses.
Identifying User Destinations in VirtualWorlds

This paper focuses on the identification of human activity patterns in SecondLife (SL), a user-constructed virtual environment. SecondLife allows the users to create a virtual avatar, explore areas constructed by other users, socialize, and conduct financial transactions just as one would in the real world. However unlike the real world, new attractions can be constructed within hours and previous ones often fall into disuse rapidly. Without current information about the state of regions in the virtual world, it is difficult to infer the purpose of the user’s actions from location information. In this paper, we present an approach for gathering data on users’ activities and building a map of SecondLife annotated with information about activities that the users were able to perform in each region. Using this map, a recommender agent built into the user’s heads-up display can present suggestions of other areas to visit based on data collected from previous users. We discuss the the use of five supervised classifiers and report classification results for the map construction portion of the agent.
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories

Exploring demographics and social networks of Internet users are widely used for many applications such as recommendation systems. The popularity of mobile devices (e.g., smartphones) and location-based Internet services (e.g., Google Maps) facilitates the collection of users' locations over time. Despite recent efforts to predict users' attributes (e.g., age and gender) and social networks based on utilizing the rich location context knowledge (e.g., name, type, and description) of places of interest (e.g., restaurants and hotels) they checked-in on location-based online social networks such as Foursqure and Gowalla, little attention has been given to inferring attributes and social networks of mobile device users based on their spatiotemporal trajectories with less/no location context knowledge. In this paper we collect logs of thousands of mobile devices' network connections to wireless access points (APs) of two campuses, and investigate whether one can infer mobile device users' demographic attributes and social networks solely from their spatiotemporal AP-trajectories. We develop a tensor factorization based method Dinfer to infer mobile device users' demographic attributes from their AP-trajectories by leveraging prior knowledge, such as users' social networks. We also propose a novel method Sinfer to learn social networks between mobile device users by exploring patterns of their AP-trajectories, such as fine-grained co-occurrence events (e.g., co-coming, co-leaving, and co-presenting duration). Experimental results on real-word datasets demonstrate the effectiveness of our methods.