bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks
Authors: Martin Killian , Adam Olivier , Obin Nicolas , Dufour Valérie 
Published: February 2022

AbstractIndividual-level monitoring is essential in many behavioural and bioacoustics studies. Collecting and annotating those data is costly in terms of human effort, but necessary prior to conducting analysis. In particular, many studies on bird vocalisations also involve manipulating the animals or human presence during observations, which may bias vocal production. Autonomous recording units can be used to collect large amounts of data without human supervision, largely removing those sources of bias. Deep learning can further facilitate the annotation of large amounts of data, for instance to detect vocalisations, identify the species, or recognise the vocalisation types in recordings. Acoustic individual identification, however, has so far largely remained limited to a single vocalisation type for a given species. This has limited the use of those techniques for automated data collection on raw recordings, where many individuals can produce vocalisations of varying complexity, potentially overlapping one another, with the additional presence of unknown and varying background noise. This paper aims at bridging this gap by developing a system to identify individual animals in those difficult conditions. Our system leverages a combination of multi-scale information integration, multi-channel audio and multi-task learning. The multi-task learning paradigm is based the overall task into four sub-tasks, three of which are auxiliary tasks: the detection and segmentation of vocalisations against other noises, the classification of individuals vocalising at any point during a sample, and the sexing of detected vocalisations. The fourth task is the overall identification of individuals. To test our approach, we recorded a captive group of rooks, a Eurasian social corvid with a diverse vocal repertoire. We used a multi-microphone array and collected a large scale dataset of time-stamped and identified vocalisations recorded, and found the system to work reliably for the defined tasks. To our knowledge, the system is the first to acoustically identify individuals regardless of the vocalisation produced. Our system can readily assist data collection and individual monitoring of groups of animals in both outdoor and indoor settings, even across long periods of time, and regardless of a species’ vocal complexity. All data and code used in this article is available online.
The gender differences in innovative mentality, leadership styles and organizational innovative behavior: the case the “40 Under 40” and their impact on organizational success
Authors: Berdecia-Cruz Zaida , Flecha Jose A. , Ortiz Maribel 
Published: February 2022

PurposeThe innovative mentality, it has been found that it is poorly addressed, which in turn does not provide clear delineations in academic literature. The innovative mentality is an opposition to the traditional innovative culture and that this is observed indirectly through the new forms of action of the younger generations. The purpose of this study aims to seek to provide answers by analyzing how the innovative mentality of leaders 40 years of age and under impacts the transformational or transactional leadership styles. Second, this research analyzes whether the leadership style used in the “40 Under 40” impacts an innovative organizational behavior that positively drives toward organizational success.Design/methodology/approachThe partial least squares structural equations method (PLS-SEM) is used to analyze a set of hypotheses to 103 professionals awarded the 40 under 40 of Caribbean Business Magazine in Puerto Rico between 2012 and 2016. The unit of analysis were young professionals recognized as the “40 Under 40” by theCaribbean Business Magazinein Puerto Rico between 2012 and 2016.FindingsThe study results contribute a novel theory about a new style of leadership, based on innovative mentality as a central axis, when combining different leadership styles. The second study examined whether there are significant differences between male and female gender through the proposed research model. The results reflect when the organizational innovative behavior is analyzed, the transactional leadership role used by women is highlighted.Originality/valueThis study distinguishes the “40 Under 40” from other leaders and has allowed their enterprises to be successful is their innovative leadership style, which is executed through their innovative mentality.
Foresights for big data across industries
Authors: Almeida Fernando 
Published: February 2022

Purpose
The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption.

Design/methodology/approach
This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry.

Findings
The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%.

Originality/value
To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.
In the digital age, the combination of technology and radical management practices drive competitive advantage
Authors: Denning Stephen 
Published: February 2022

Purpose
The author asserts that Gary Hamel’s decade-old prediction of an oncoming avalanche of ‘radical management innovations’ has come true. They are already staring us in the face, not in a couple of tiny obscure foreign firms, but in the success of the most valuable firms in the world.

Design/methodology/approach
Whether traditional management thinkers want to recognize it or not, we are already living in a new economic age–with radically different management practices that are driving the growth of the economy.

Findings
The current new age has been triggered by combining extraordinary new technologies and new management principles.

Practical/implications
New technologies, without the change in management principles, are not enough to achieve transformative advantage.

Originality/value
Innovative firms with a total value of more than half the economy are being run with a radically different management mindset, principles and skills that ambitious managers need to adopt.
Analytical modelling of ultra-thin white topping cement concrete overlay on bituminous concrete pavement using ANSYS
Authors: Krishna U. Siva Rama , Ch Naga Satish Kumar 
Published: February 2022

Purpose
The ultra-thin white topping (UTW) is a cement concrete overlay of the thickness of 50–100 mm on bituminous concrete pavements with surface failures. This is a long-lasting solution without having short-term failures. This paper aims to design an ultra-thin cement concrete overlay using a developed critical stress model with sustainable concrete materials for low-volume roads.

Design/methodology/approach
In this research paper, a parametric study was conducted using the ultra-thin concrete overlay finite element model developed with ANSYS software, considering the significant parameters affecting the performance and development. The non-linear regression equation was formed using a damped least-squares method to predict critical stress due to the corner load of 51 kN.

Findings
The parametric study results indicate that with a greater elastic modulus of bituminous concrete, granular layer along with 100 mm thickness of concrete layer reduces the critical corner stress, interface shear stress in a significant way responsible for debonding of concrete overlay, elastic strains in the pavement further the concrete overlay can bear infinite load repetitions. From validation, it is understood that the non-linear regression equation developed is acceptable with similar research work done.

Originality/value
From the semi-scale experimental study, it is observed that the quaternary blended sustainable concrete overlay having a high modulus of rupture of 6.34 MPa is competent with conventional cement concrete overlay in terms of failure load. So, concrete overlay with sustainable materials of 100 mm thickness and higher elastic modulus of the layers can perform in a sustainable way meeting the environmental and long-term performance requirements.
Synergistic effect of roflumilast with dexamethasone in a neutrophilic asthma mouse model
Authors: Park Chan Kwon , An Tai Joon , Kim Ji Hye , Rhee Chin Kook , Yoon Hyoung Kyu 
Published: February 2022

AbstractAsthma is a chronic airway inflammatory disease with heterogeneous features. Most cases of asthma are steroid sensitive, but 5%‐10% are unresponsive to steroids, leading to challenges in treatment. Neutrophilic asthma is steroid‐resistant and characterized by the absence or suppression of the T‐helper type II (TH2) process and an increase in the TH1 and/or TH17 process. Roflumilast (ROF) has anti‐inflammatory effects and has been used to treat chronic inflammatory airway diseases, such as chronic pulmonary obstructive disease. It is unclear whether ROF may have a therapeutic role in neutrophilic asthma. In this study, we investigated the synergistic effect of ROF with dexamethasone (DEX) in a neutrophilic asthma mouse model. C57BL/6 female mice sensitized to ovalbumin (OVA) were exposed to five intranasal OVA treatments and three intranasal lipopolysaccharide (LPS) treatments for an additional 10 days. During the intranasal OVA challenge, ROF was administrated orally, and DEX was injected intraperitoneally. Protein, pro‐inflammatory cytokines, inflammatory cytokines and other suspected markers were identified by enzyme‐linked immunosorbent assay, real‐time polymerase chain reaction, and western blot. Following exposure to LPS in OVA‐induced asthmatic mice, neutrophil predominant airway inflammation rather than eosinophil predominant inflammation was observed, with increases in airway hyperresponsiveness (AHR). The lungs of animals treated with ROF exhibited less airway inflammation and hyperresponsiveness. To investigate the mechanism underlying this effect, we examined the expression of proinflammatory cytokines suspected to be involved in inflammatory cytokines and proteins. Roflumilast reduced total protein in bronchioalveolar lavage fluid; levels of interleukin (IL)‐17A, IL‐1β messenger RNA, interferon γ and tumour necrosis factor α; and recovered histone deacetylase‐2 (HDAC2) activity. Combination therapy with ROF and DEX further reduced the levels of IL‐17, IL‐22 and IL‐1β mRNA and proinflammatory cytokines. The combination of ROF and DEX reduced lung inflammation and AHR much more than one of them alone. Roflumilast reduces AHR and lung inflammation in the neutrophilic asthma mouse model. Furthermore, additive effects were observed when DEX was added to ROF treatment, possibly because of recovery of HDAC2/β‐actin activity. This study demonstrates the anti‐inflammatory properties of ROF in a neutrophilic asthma mouse model.
Nocturnal emission and post‐pollination change of floral scent in the leafflower tree, Glochidion rubrum, exclusively pollinated by seed‐parasitic leafflower moths
Authors: Okamoto Tomoko , Svensson Glenn P. , Goto Ryutaro , Kawakita Atsushi , Kato Makoto 
Published: February 2022

AbstractMany insect‐pollinated plants use floral scent signals to attract and guide the effective pollinators, and temporal patterns of their floral scent emission may be tuned to respond to the pollinator's activity and pollination status. In the intimate nursery pollination mutualism between monoecious Glochidion trees (Phyllanthaceae) and Epicephala moths (Gracillariidae), floral scent signals mediate species‐specific interactions and influence the moth's efficient pollen‐collecting and pollen‐depositing behaviors on male and female flowers, respectively. We tested the hypotheses that both sexes of flowers of Epicephala‐pollinated Glochidion rubrum exhibit a diel pattern of scent emission matching the activity period of the nocturnally active pollinator, and that female flowers change the chemical signal after pollination to reduce further visits and oviposition by the pollinator. We investigated the diel change of floral scent emissions during two consecutive days and the influence of pollination on the floral scent by conducting hand‐pollinations in the field. The total scent emission of male and female flowers was higher at night than in the day, which would be expected from the nocturnal visitations of Epicephala moths. Some compounds exhibited a clear nocturnal emission rhythm. Hand‐pollination experiments revealed that emission of two compounds, nerolidol and eugenol, drastically decreased in pollinated flowers, suggesting that these compounds may function as key attractants for the pollinator; however, the total scent emission of the female flower was not influenced by hand‐pollination. The pattern of the floral scent emission of G. rubrum may be optimized to attract nocturnal pollinators and reduce oviposition.
Duty calls but not for all: The policy involvement of cabinet ministers during crisis
Authors: SHPAIZMAN ILANA 
Published: February 2022

AbstractDuring a crisis, the public expects the government to handle the situation. In parliamentary democracies, these expectations are directed to the cabinet and its ministers. Cabinet ministers are expected to be highly involved in policy making under their jurisdiction and in general. During periods of politics as usual, ministers differ in their policy involvement. This paper asks whether that changes during a crisis. Based on an analysis of cabinet ministers in Israel during the first wave of the COVID19 crisis, this paper finds that ministers’ policy involvement during a crisis is relatively low. Most ministers are little involved in issues outside their jurisdiction. Ministers less central to the crisis management are also little involved in issues under their jurisdiction. Ministers central to the crisis management are highly involved in introducing decisions on issues under their jurisdiction, but not necessarily in other aspects of policy making. These findings have implications for issues of accountability and trust.
Real Effects of a Widespread CSR Reporting Mandate: Evidence from the European Union's CSR Directive
Authors: FIECHTER PETER , HITZ JÖRG‐MARKUS , LEHMANN NICO 
Published: February 2022

ABSTRACTWe investigate real effects of a widespread corporate social responsibility (CSR) reporting mandate. In 2014, the European Union (EU) passed Directive 2014/95 (hereafter, “CSR Directive”), mandating large listed EU firms to prepare annual nonfinancial reports beginning from fiscal year 2017 onward. We document that firms within the scope of the directive respond by increasing their CSR activities and that they start doing so before the entry‐into‐force of the directive. These real effects are concentrated in firms that are plausibly more strongly affected by the directive, that is, those with previously low levels of both CSR reporting and CSR activities. Using various alternative outcome variables (e.g., new CSR initiatives, improvements in CSR infrastructure, or firm performance), we show that these real effects reflect meaningful increases in CSR beyond firms’ potential attempts to “greenwash” CSR performance. Finally, we conduct tests that increase our confidence that the documented real effects are attributable to the CSR Directive and not general EU trends in CSR.
Managers’ Body Expansiveness, Investor Perceptions, and Firm Forecast Errors and Valuation
Authors: DÁVILA ANTONIO , GUASCH MARTÍ 
Published: February 2022

ABSTRACTWe examine the relation between a measure of managers’ physical display—body expansiveness—and favorable reporting practices (in firm forecasts and valuation information) and performance (survival and funding success). We videotape 154 entrepreneurs pitching their business ideas, and use computer vision software to obtain information about speakers’ movements. We show that physical expansiveness correlates with higher forecast errors and proposed firm valuations and lower survival rates yet higher likelihood of funding success. We argue that investors may incorrectly interpret nonverbal communication in their assessments of entrepreneurs and propose a behavioral explanation. We further corroborate the proposed mechanism by studying investor perceptions of entrepreneurs’ personal characteristics. Overall, we shed light on an overlooked source of information—nonverbal behavior—and relate it to firm forecasting, valuation, survival, and financing success, which are important factors in the assessment of investment opportunities, deal structure, and monitoring.
Private mortgage securitization and loss given default
Authors: Higgins Eric , Yavas Abdullah , Zhu Shuang 
Published: February 2022

AbstractLoan performance varies by default probability and loss given default (LGD). While the relationship between securitization and default probability has been studied intensively, the effect of securitization on LGD remains unexplored. Using a unique data set containing over 40,000 mortgage liquidations, this article studies the effect of private securitization on LGD. We document that securitized loans incur higher LGD than observably similar portfolio loans. The results indicate that the effect comes mainly from the difference in loan quality between securitized and portfolio loans. Securitized opaque mortgages incur more than 18% (in relative terms) higher loan losses than observably similar portfolio loans. In addition, a difference‐in‐difference analysis provides evidence that precrisis securitization standards contributed to higher loan losses.
Multiplex optical bioassays for food safety analysis: Toward on‐site detection
Authors: Guan Tian , Xu Zhenlin , Wang Jin , Liu Yingju , Shen Xing , Li Xiangmei , Sun Yuanming , Lei Hongtao 
Published: February 2022

AbstractFood safety analysis plays a significant role in controlling food contamination and supervision. In recent years, multiplex optical bioassays (MOBAs) have been widely applied to analyze multiple hazards due to their efficiency and low cost. However, due to the challenges such as multiplexing capacity, poor sensitivity, and bulky instrumentation, the further application of traditional MOBAs in food screening has been limited. In this review, effective strategies regarding food safety MOBAs are summarized, such as spatial‐resolution modes performed in multi‐T lines/dots strips or arrays of strip/microplate/microfluidic chip/SPR chip and signal‐resolution modes employing distinguishable colorimetric/luminescence/fluorescence/surface plasma resonance/surface‐enhanced Raman spectrum as signal tags. Following this, new trends on how to design engineered sensor architecture and exploit distinguishable signal reporters, how to improve both multiplexing capacity and sensitivity, and how to integrate these formats into smartphones so as to be mobile are summarized systematically. Typically, in the case of enhancing multiplexing capacity and detection throughput, microfluidic array chips with multichannel architecture would be a favorable approach to overcome the spatial and physical limitations of immunochromatographic assay (ICA) test strips. Moreover, noble metal nanoparticles and single‐excitation, multiple‐emission luminescence nanomaterials hold great potential in developing ultrasensitive MOBAs. Finally, the exploitation of innovative multiplexing strategy hybridized with powerful and widely available smartphones opens new perspectives to MOBAs. In future, the MOBAs should be more sensitive, have higher multiplexing capacity, and easier instrumentation.
Combating biofilms of foodborne pathogens with bacteriocins by lactic acid bacteria in the food industry
Authors: Pang Xinyi , Song Xiaoye , Chen Minjie , Tian Shuhua , Lu Zhaoxin , Sun Jing , Li Xiangfei , Lu Yingjian , Yuk Hyun‐Gyun 
Published: February 2022

AbstractMost foodborne pathogens have biofilm‐forming capacity and prefer to grow in the form of biofilms. Presence of biofilms on food contact surfaces can lead to persistence of pathogens and the recurrent cross‐contamination of food products, resulting in serious problems associated with food safety and economic losses. Resistance of biofilm cells to conventional sanitizers urges the development of natural alternatives to effectively inhibit biofilm formation and eradicate preformed biofilms. Lactic acid bacteria (LAB) produce bacteriocins which are ribosomally synthesized antimicrobial peptides, providing a great source of nature antimicrobials with the advantages of green and safe properties. Studies on biofilm control by newly identified bacteriocins are increasing, targeting primarily onListeria monocytogenes, Staphylococcus aureus, Salmonella, and Escherichia coli. This review systematically complies and assesses the antibiofilm property of LAB bacteriocins in controlling foodborne bacterial‐biofilms on food contact surfaces. The bacteriocin‐producing LAB genera/species, test method (inhibition and eradication), activity spectrum and surfaces are discussed, and the antibiofilm mechanisms are also argued. The findings indicate that bacteriocins can effectively inhibit biofilm formation in a dose‐dependent manner, but are difficult to disrupt preformed biofilms. Synergistic combination with other antimicrobials, incorporation in nanoconjugates and implementation of bioengineering can help to strengthen their antibiofilm activity. This review provides an overview of the potential and application of LAB bacteriocins in combating bacterial biofilms in food processing environments, assisting in the development and widespread use of bacteriocin as a promising antibiofilm‐agent in food industries.
Vitamin E in foodstuff: Nutritional, analytical, and food technology aspects
Authors: Zaaboul Farah , Liu YuanFa 
Published: February 2022

AbstractVitamin E is a group of isoprenoid chromanols with different biological activities. It comprises eight oil‐soluble compounds: four tocopherols, namely, α‐, β‐, γ‐, and δ‐tocopherols; and four tocotrienols, namely, α‐, β‐, γ, and δ‐tocotrienols. Vitamin E isomers are well‐known for their antioxidant activity, gene‐regulation effects, and anti‐inflammatory and nephroprotective properties. Considering that vitamin E is exclusively synthesized by photosynthetic organisms, animals can only acquire it through their diet. Plant‐based food is the primary source of vitamin E; hence, oils, nuts, fruits, and vegetables with high contents of vitamin E are mostly consumed after processing, including industrial processes and home‐cooking, which involve vitamin E profile and content alteration during their preparation. Accordingly, it is essential to identify the vitamin E content and profile in foodstuff to match daily intake requirements. This review summarizes recent advances in vitamin E chemistry, metabolism and metabolites, current knowledge on their contents and profiles in raw and processed plant foods, and finally, their modern developments in analytical methods.