scholarly journals Thermochemical Liquefaction as a Cleaner and Efficient Route for Valuing Pinewood Residues from Forest Fires

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7156
Author(s):  
Diogo Goncalves ◽  
Sofia Orišková ◽  
Sandro Matos ◽  
Henrique Machado ◽  
Salomé Vieira ◽  
...  
Keyword(s):  
Forest Fires ◽  
Complex Structure ◽  
Industrial Applications ◽  
Negative Effects ◽  
Conversion Rates ◽  
Bio Oil ◽  
Mass Fractions ◽  
Liquefaction Process ◽  
And Performance ◽  
Hydrogen Mass

Biomass thermochemical liquefaction is a chemical process with multifunctional bio-oil as its main product. Under this process, the complex structure of lignocellulosic components can be hydrolysed into smaller molecules at atmospheric pressure. This work demonstrates that the liquefaction of burned pinewood from forest fires delivers similar conversion rates into bio-oil as non-burned wood does. The bio-oils from four burned biomass fractions (heartwood, sapwood, branches, and bark) showed lower moisture content and higher HHV (ranging between 32.96 and 35.85 MJ/kg) than the initial biomasses. The increased HHV resulted from the loss of oxygen, whereas the carbon and hydrogen mass fractions increased. The highest conversion of bark and heartwood was achieved after 60 min of liquefaction. Sapwood, pinewood, and branches reached a slightly higher conversion, with yields about 8% greater, but with longer liquefaction time resulting in higher energy consumption. Additionally, the van Krevelen diagram indicated that the produced bio-oils were closer and chemically more compatible (in terms of hydrogen and oxygen content) to the hydrocarbon fuels than the initial biomass counterparts. In addition, bio-oil from burned pinewood was shown to be a viable alternative biofuel for heavy industrial applications. Overall, biomass from forest fires can be used for the liquefaction process without compromising its efficiency and performance. By doing so, it recovers part of the lost value caused by wildfires, mitigating their negative effects.

Undesirable Effects of Goal Setting on Perceived Fairness, Commitment, and Unethical Behavior

2018 ◽  
Vol 62 (2) ◽  
pp. 97-107 ◽  
Author(s):  
Nina Keith
Keyword(s):  
Goal Setting ◽  
Unethical Behavior ◽  
The United States ◽  
Goal Commitment ◽  
Management Technique ◽  
Long Term Effects ◽  
Perceived Fairness ◽  
Negative Effects ◽  
Positive Effects ◽  
And Performance

Abstract. The positive effects of goal setting on motivation and performance are among the most established findings of industrial–organizational psychology. Accordingly, goal setting is a common management technique. Lately, however, potential negative effects of goal-setting, for example, on unethical behavior, are increasingly being discussed. This research replicates and extends a laboratory experiment conducted in the United States. In one of three goal conditions (do-your-best goals, consistently high goals, increasingly high goals), 101 participants worked on a search task in five rounds. Half of them (transparency yes/no) were informed at the outset about goal development. We did not find the expected effects on unethical behavior but medium-to-large effects on subjective variables: Perceived fairness of goals and goal commitment were least favorable in the increasing-goal condition, particularly in later goal rounds. Results indicate that when designing goal-setting interventions, organizations may consider potential undesirable long-term effects.

scholarly journals Bacillus subtilis-Based Probiotic Improves Skeletal Health and Immunity in Broiler Chickens Exposed to Heat Stress

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1494
Author(s):  
Sha Jiang ◽  
Fei-Fei Yan ◽  
Jia-Ying Hu ◽  
Ahmed Mohammed ◽  
Heng-Wei Cheng
Keyword(s):  
Bacillus Subtilis ◽  
Heat Stress ◽  
Broiler Chickens ◽  
Heat Waves ◽  
Stress Sensitivity ◽  
Current Data ◽  
Negative Effects ◽  
Skeletal Health ◽  
Welfare Issue ◽  
And Performance

The elevation of ambient temperature beyond the thermoneutral zone leads to heat stress, which is a growing health and welfare issue for homeothermic animals aiming to maintain relatively constant reproducibility and survivability. Particularly, global warming over the past decades has resulted in more hot days with more intense, frequent, and long-lasting heat waves, resulting in a global surge in animals suffering from heat stress. Heat stress causes pathophysiological changes in animals, increasing stress sensitivity and immunosuppression, consequently leading to increased intestinal permeability (leaky gut) and related neuroinflammation. Probiotics, as well as prebiotics and synbiotics, have been used to prevent or reduce stress-induced negative effects on physiological and behavioral homeostasis in humans and various animals. The current data indicate dietary supplementation with a Bacillus subtilis-based probiotic has similar functions in poultry. This review highlights the recent findings on the effects of the probiotic Bacillus subtilis on skeletal health of broiler chickens exposed to heat stress. It provides insights to aid in the development of practical strategies for improving health and performance in poultry.

scholarly journals Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm

Friction ◽  
2021 ◽  
Author(s):  
Vigneashwara Pandiyan ◽  
Josef Prost ◽  
Georg Vorlaufer ◽  
Markus Varga ◽  
Kilian Wasmer
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Industrial Applications ◽  
Supervised Machine Learning ◽  
Normal Operation ◽  
Promising Alternative ◽  
Wear And Tear ◽  
Validation Procedure ◽  
And Performance

AbstractFunctional surfaces in relative contact and motion are prone to wear and tear, resulting in loss of efficiency and performance of the workpieces/machines. Wear occurs in the form of adhesion, abrasion, scuffing, galling, and scoring between contacts. However, the rate of the wear phenomenon depends primarily on the physical properties and the surrounding environment. Monitoring the integrity of surfaces by offline inspections leads to significant wasted machine time. A potential alternate option to offline inspection currently practiced in industries is the analysis of sensors signatures capable of capturing the wear state and correlating it with the wear phenomenon, followed by in situ classification using a state-of-the-art machine learning (ML) algorithm. Though this technique is better than offline inspection, it possesses inherent disadvantages for training the ML models. Ideally, supervised training of ML models requires the datasets considered for the classification to be of equal weightage to avoid biasing. The collection of such a dataset is very cumbersome and expensive in practice, as in real industrial applications, the malfunction period is minimal compared to normal operation. Furthermore, classification models would not classify new wear phenomena from the normal regime if they are unfamiliar. As a promising alternative, in this work, we propose a methodology able to differentiate the abnormal regimes, i.e., wear phenomenon regimes, from the normal regime. This is carried out by familiarizing the ML algorithms only with the distribution of the acoustic emission (AE) signals captured using a microphone related to the normal regime. As a result, the ML algorithms would be able to detect whether some overlaps exist with the learnt distributions when a new, unseen signal arrives. To achieve this goal, a generative convolutional neural network (CNN) architecture based on variational auto encoder (VAE) is built and trained. During the validation procedure of the proposed CNN architectures, we were capable of identifying acoustics signals corresponding to the normal and abnormal wear regime with an accuracy of 97% and 80%. Hence, our approach shows very promising results for in situ and real-time condition monitoring or even wear prediction in tribological applications.

scholarly journals Saharan dust and biomass burning aerosols during ex-hurricane Ophelia: observations from the new UK lidar and sun-photometer network

2019 ◽  
Vol 19 (6) ◽  
pp. 3557-3578 ◽  
Author(s):  
Martin Osborne ◽  
Florent F. Malavelle ◽  
Mariana Adam ◽  
Joelle Buxmann ◽  
Jaqueline Sugier ◽  
...  
Keyword(s):  
Biomass Burning ◽  
Forest Fires ◽  
Complex Structure ◽  
Atmospheric Dispersion ◽  
Saharan Dust ◽  
Atmospheric Concentration ◽  
Back Trajectories ◽  
Sun Photometer ◽  
The Uk ◽  
Aerosol Types

Abstract. On 15–16 October 2017, ex-hurricane Ophelia passed to the west of the British Isles, bringing dust from the Sahara and smoke from Portuguese forest fires that was observable to the naked eye and reported in the UK's national press. We report here detailed observations of this event using the UK operational lidar and sun-photometer network, established for the early detection of aviation hazards, including volcanic ash. We also use ECMWF ERA5 wind field data and MODIS imagery to examine the aerosol transport. The observations, taken continuously over a period of 30 h, show a complex picture, dominated by several different aerosol layers at different times and clearly correlated with the passage of different air masses associated with the intense cyclonic system. A similar evolution was observed at several sites, with a time delay between them explained by their different location with respect to the storm and associated meteorological features. The event commenced with a shallow dust layer at 1–2 km in altitude and culminated in a deep and complex structure that lasted ∼12 h at each site over the UK, correlated with the storm's warm sector. For most of the time, the aerosol detected was dominated by mineral dust mixtures, as highlighted by depolarisation measurements, but an intense biomass burning aerosol (BBA) layer was observed towards the end of the event, lasting around 3 h at each site. The aerosol optical depth at 355 nm (AOD355) during the whole event ranged from 0.2 to 2.9, with the larger AOD correlated to the intense BBA layer. Such a large AOD is unprecedented in the UK according to AERONET records for the last 20 years. The Raman lidars permitted the measurement of the aerosol extinction coefficient at 355 nm, the particle linear depolarisation ratio (PLDR), and the lidar ratio (LR) and made the separation of the dust (depolarising) aerosol from other aerosol types possible. A specific extinction has also been computed to provide an estimate of the atmospheric concentration of both aerosol types separately, which peaked at 420±200 µg m−3 for the dust and 558±232 µg m−3 for the biomass burning aerosols. Back trajectories computed using the Numerical Atmospheric-dispersion Modelling Environment (NAME) were used to identify the sources and strengthen the conclusions drawn from the observations. The UK network represents a significant expansion of the observing capability in northern Europe, with instruments evenly distributed across Great Britain, from Camborne in Cornwall to Lerwick in the Shetland Islands, and this study represents the first attempt to demonstrate its capability and validate the methods in use. Its ultimate purpose will be the detection and quantification of volcanic plumes, but the present study clearly demonstrates the advanced capabilities of the network.

Dealing with organizational silos with communities of practice and human resource management

2017 ◽  
Vol 29 (6) ◽  
pp. 473-489 ◽  
Author(s):  
Riitta Forsten-Astikainen ◽  
Pia Hurmelinna-Laukkanen ◽  
Tuija Lämsä ◽  
Pia Heilmann ◽  
Elina Hyrkäs
Keyword(s):  
Communities Of Practice ◽  
Organizational Structures ◽  
Energy Sector ◽  
Negative Effects ◽  
Organizational Boundaries ◽  
Content Type ◽  
Competence Management ◽  
And Performance ◽  
Hr Managers ◽  
Hr Function

Purpose Organizational silos that build on the existing organizational structures are often considered to have negative effects in the form of focus on private narrow objectives and organizational fragmentation. To avoid such harmful outcomes, competence management is called for, and in this, the human resources (HR) function takes a key role. Among other things, it can provide basis for emergence and utilization of communities of practice (CoPs) that build on common interests and effectively cross organizational boundaries. These features of CoPs allow them to carry competences and ease knowledge transfer and to break down the harmful isolation. Quite paradoxically, the challenge is that CoPs can also form within silos, thereby strengthening isolation, and HR as a utility department can itself be particularly prone to the silo effects. Examination of boundaries and silos through an original study conducted in a Finnish energy sector company suggests that HR managers need competences outside their own expertise area and courage to augment their CoPs across the functional boundaries to break out of the HR silo and to assist other functions to do the same. Design/methodology/approach The study is based on qualitative research data gathered in four focus group interviews with HR personnel from an energy sector company in November 2012. Totally, 19 professionals were interviewed (five HR partners, five talent development and performance managers, five vice presidents of HR and four HR managers) in the four focus groups. The company’s HR personnel represented units from Finland, Sweden, Poland and Estonia. Findings Examination of boundaries and silos in the Finnish energy sector suggests that HR managers need competences outside their own field (e.g. knowledge of the business and offerings of the firm) and courage to augment their CoPs across the functional boundaries to break out of the HR silo and to assist other functions to do the same. Originality/value Research provided that CoPs can have different effects on silos. As they are capable of crossing organizational and functional boundaries, they may effectively mitigate adverse silo effects; however, if CoPs are formed within silos, they may strengthen isolation and fragmentation. In addition, utility departments and supporting functions are particularly prone to the risk of CoPs forming within silos. The HR function is one manifestation of this. Paradoxically, it also has the potential to enhance the other type of effects that CoPs can exert, as competence management can be used to foster intentional and self-organizing CoPs that counter silo effects.

scholarly journals TECHNICAL CHARACTERISTICS AND CONSTRUCTION FEATURES OF MEAT GRINDERS

2020 ◽  
Vol 8 (Spl-2-AABAS) ◽  
pp. S361-S367
Author(s):  
Yermek Abilmazhinov ◽  
◽  
Galiya Abdilova ◽  
Maksim Rebezov ◽  
Rustem Zalilov ◽  
...  
Keyword(s):  
Meat Products ◽  
Industrial Applications ◽  
Operating Principle ◽  
And Performance

Most of the technological operations for the production of meat products are mechanised and carried out using specially designed equipment, including meat grinders. This paper reviews meat grinders of different design and performance, used in both household and industrial applications. The technical characteristics, construction and operating principle of the meat grinder are described.

scholarly journals Data Control Wars: Collaborative Fiction, Transition Design and Technological Sovereignty

2020 ◽  
pp. 208-239
Author(s):  
Andreu Belsunces Gonçalves ◽  
Grace Polifroni Turtle ◽  
Antonio Calleja ◽  
Raul Nieves Pardo ◽  
Bani Brusadin ◽  
...  
Keyword(s):  
Negative Effects ◽  
Social Imagination ◽  
Sociology Of Expectations ◽  
Data Control ◽  
The Social ◽  
Transition Strategies ◽  
And Performance ◽  
Using Data ◽  
Research Action ◽  
Political Economic

Data Control Wars seeks to explore the development of different futures regarding the extraction, management and exploitation of data and its political, economic and cultural consequences. It has been designed as a research-action device through play, generative conflict, collaborative fiction and performance with three specific objectives: to observe social expectations regarding the relationship between industry, democracy, citizenship and data; to stimulate social imagination through the simulation of sociotechnical scenarios, thus decolonising imaginaries captured by techno-capitalist logic; and to rehearsal transition strategies towards technological sovereignty. This article presents the Data Control Wars case study and explains its functioning. Moreover, it sets out the theoretical scaffolding – which goes from post-human philosophy to critical design passing through the sociology of expectations – that supports it and presents some of the results. After three activations in three different contexts, Data Control Wars has proven useful as an educational tool to address the potential positive and negative effects of using data, as a space for testing strategies on transition design, as a method to identify some of the myths articulated by the social perception of the technological industry and the power of agency that we hold over it and, finally, as a device to question techno-capitalist cultural hegemony through the construction of other stories about what the technosocial body can be.

Performance of Mid-Size Internationalized Indian Firms: Evaluating the Role of Family Control

2019 ◽  
Vol 9 (12) ◽  
pp. 387-400
Author(s):  
Faisal M Ahsan ◽  
Ajay Singal
Keyword(s):  
Multinational Firms ◽  
International Expansion ◽  
Negative Effects ◽  
Family Control ◽  
Listed Firms ◽  
And Performance ◽  
Performance Heterogeneity ◽  
The Impact ◽  
Degree Of Internationalization

The rapidly growing and gradual emergence of multinational firms from the Indian sub-continent now calls for thorough re-understandings of extant theories and existing ideologies of the ‘internationalization’ process. We would initially assess the three-stage model of internationalization in the context of mid-size Indian firms and intend to investigate the relationship between performance and degree of internationalization. Based on the longitudinal dataset (2005-12) of publicly listed firms, our findings suggested that mid-size firms remained stuck up in the first stage of internationalization and accordingly exhibit a downward-sloping relationship between internationalization’s degree and performance. Most of the mid-size firms continued to show a predominantly family-controlled stance, and the impact of family ownership shows negative effects on the degree of internationalization. By examining the performance heterogeneity in family-owned firms towards internationalization, this paper enriches the existing body of research and assume it to be a prolific addition in the literature on international expansion.

Phase Drift in Networks of Coupled Colpitts Oscillators

2021 ◽  
Vol 31 (04) ◽  
pp. 2130010
Author(s):  
Lourdes Coria ◽  
Horacio Lopez ◽  
Antonio Palacios ◽  
Visarath In ◽  
Patrick Longhini
Keyword(s):  
Collective Behavior ◽  
Traveling Wave ◽  
Scaling Law ◽  
Industrial Applications ◽  
Basins Of Attraction ◽  
Navigation Systems ◽  
Negative Effects ◽  
Phase Drift ◽  
Wide Range ◽  
Wave Patterns

In modern times, satellite-based global positioning and navigation systems, such as the GPS, include precise time-keeping devices, e.g. atomic clocks, which are crucial for navigation and for a wide range of economic and industrial applications. However, precise timing might not be available when the environment renders satellite equipment inoperable. In response to this critical need, we have been carrying out, over the past three years, theory and preliminary experiments [Buono et al., 2018a; Buono et al., 2018b; Palacios et al., 2020], towards developing a novel and inexpensive precision timing device that can function independently of GPS availability. The fundamental idea is to exploit collective behavior generated by networks of coupled nonlinear oscillators. Common sense may suggest that synchronized oscillations may lead to higher accuracy. Previous works show, however, that it is not synchronization but rather, traveling wave patterns, in which consecutive oscillators are out of phase by a constant amount, that can better reduce the negative effects of noise and material imperfections which cause phase drift. In this work we advance the state-of-art in the network-based concept by studying, mainly computationally, collective behavior in networks of Colpitts oscillators. These type of oscillators are chosen because they offer a wide range of advantages (such as the ability to tune up the oscillations over a broad frequency range). The results highlight the regions of parameter space, including coupling strength, where traveling wave patterns have the largest basins of attraction and the ability to reduce phase drift by a [Formula: see text] scaling law, where [Formula: see text] is the number of oscillators in the network. The results should also provide guidelines for follow-up design and fabrication tasks of a network-based technology for precision timing.

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