bluuebunny/crossref_metadata_2025 huggingface dataset:
A Melanin-like Nanoenzyme for Acute Lung Injury Therapy via Suppressing Oxidative and Endoplasmic Reticulum Stress Response
Authors: Lou Xue-Fang , Wang Chen , Zhang Ju-Cong , Du Yong-Zhong , Xu Xiao-Ling
Published: November 2021

Nanoenzyme-mediated catalytic activity is emerging as a novel strategy for reactive oxygen species (ROS) scavenging in acute lung injury (ALI) treatment. However, one of the main hurdles for these metal-containing nanoenzymes is their potential toxicity and single therapeutic mechanism. Herein, we uncovered a melanin-like nanoparticles derived from the self-polymerization of 1,8-dihydroxynaphthalene (PDH nanoparticles), showing a significant anti-inflammation therapeutic effect on ALI mice. The prepared PDH nanoparticles rich in phenol groups could not only act as radical scavengers to alleviate oxidative stress but could also chelate calcium overload to suppress the endoplasmic reticulum stress response. As revealed by the therapeutic effect in vivo, PDH nanoparticles significantly prohibited neutrophil infiltration and the secretion of proinflammatory cytokines (TNF-α and IL-6), thus improving the inflammatory cascade in the ALI model. Above all, our work provides an effective anti-inflammatory nanoplatform by using the inherent capability of melanin-like nanoenzymes, proposing the potential application prospects of these melanin-like nanoparticles for acute inflammation-induced injury treatment.
Blood–Brain Barrier Permeability: Is 5-Hydroxytryptamine Receptor Type 4 a Game Changer?
Authors: Becker Guillaume , Da Silva Sylvia , Sabo Amelia-Naomi , Antal Maria Cristina , Kemmel Véronique , Monassier Laurent
Published: November 2021

Serotonin affects many functions in the body, both in the central nervous system (CNS) and the periphery. However, its effect on the blood–brain barrier (BBB) in separating these two worlds has been scarcely investigated. The aim of this work was to characterize the serotonin receptor 5-HT4 in the hCMEC/D3 cell line, in the rat and the human BBB. We also examined the effect of prucalopride, a 5-HT4 receptor agonist, on the permeability of the hCMEC/D3 in an in vitro model of BBB. We then confirmed our observations by in vivo experiments. In this work, we show that the 5-HT4 receptor is expressed by hCMEC/D3 cells and in the capillaries of rat and human brains. Prucalopride increases the BBB permeability by downregulating the expression of the tight junction protein, occludin. This effect is prevented by GR113808, a 5-HT4 receptor antagonist, and is mediated by the Src/ERK1/2 signaling pathway. The canonical G-protein-dependent pathway does not appear to be involved in this phenomenon. Finally, the administration of prucalopride increases the diffusion of Evans blue in the rat brain parenchyma, which is synonymous with BBB permeabilization. All these data indicate that the 5-HT4 receptor contributes to the regulation of BBB permeability.
Pharmacists’ Approach to Optimise Safe Medication Use in Paediatric Patients
Authors: Keuler Nicole , Bouwer Annatjie , Coetzee Renier
Published: November 2021

Paediatric patients are unique, yet challenging patients to care for by pharmacists. Paediatric medicine use requires special consideration. Pharmacists play an important role in educating and counselling patients, carers, and healthcare workers. Further, pharmacists have the necessary knowledge and skills to optimise safe medicine use in paediatric patients. This article provides basic principles for safe practices in paediatric medicine by following the nine rights of medication administration.
Green Synthesis of Gold Nanoparticles Using Polianthes tuberosa L. Floral Extract
Authors: Alghuthaymi Mousa A. , Rajkuberan Chandrasekaran , Santhiya Thiyagaraj , Krejcar Ondrej , Kuča Kamil , Periakaruppan Rajiv , Prabukumar Seetharaman
Published: November 2021

The developments of green-based metallic nanoparticles (gold) are gaining tremendous interest, having potential applications in health care and diagnosis. Therefore, in the present study, Polianthes tuberosa flower filtered extract was used as a reducing and stabilizing agent to synthesize gold nanoparticles (PtubAuNPs). The PtubAuNPs were extensively characterized by UV–visible spectroscopy, Fourier transform infrared spectroscopy, transmission electron microscopy, and X-ray diffraction. The antibacterial activity of PtubAuNPs was determined by the agar well diffusion method; the PtubAuNPs performed extreme antagonistic activity against the tested pathogens. Furthermore, the cytotoxicity of the PtubAuNPs was evaluated in MCF 7 cells by MTT assay. The PtubAuNPs induced toxicity in MCF 7 cells with the least concentration of 100 µg/mL in a dose-dependent method by inducing apoptosis. Overall, the study manifested that PtubAuNPs are a potent nanomaterial that can be employed as an antimicrobial and anticancer agent.
Plant Diversity Conservation Challenges and Prospects—The Perspective of Botanic Gardens and the Millennium Seed Bank
Authors: Breman Elinor , Ballesteros Daniel , Castillo-Lorenzo Elena , Cockel Christopher , Dickie John , Faruk Aisyah , O’Donnell Katherine , Offord Catherine A. , Pironon Samuel , Sharrock Suzanne , Ulian Tiziana
Published: November 2021

There is a pressing need to conserve plant diversity to prevent extinctions and to enable sustainable use of plant material by current and future generations. Here, we review the contribution that living collections and seed banks based in botanic gardens around the world make to wild plant conservation and to tackling global challenges. We focus in particular on the work of Botanic Gardens Conservation International and the Millennium Seed Bank of the Royal Botanic Gardens, Kew, with its associated global Partnership. The advantages and limitations of conservation of plant diversity as both living material and seed collections are reviewed, and the need for additional research and conservation measures, such as cryopreservation, to enable the long-term conservation of ‘exceptional species’ is discussed. We highlight the importance of networks and sharing access to data and plant material. The skill sets found within botanic gardens and seed banks complement each other and enable the development of integrated conservation (linking in situ and ex situ efforts). Using a number of case studies we demonstrate how botanic gardens and seed banks support integrated conservation and research for agriculture and food security, restoration and reforestation, as well as supporting local livelihoods.
In Situ Stabilisation of Silver Nanoparticles at Chitosan-Functionalised Graphene Oxide for Reduction of 2,4-Dinitrophenol in Water
Authors: Makaudi Rebaone , Paumo Hugues Kamdem , Pone Boniface Kamdem , Katata-Seru Lebogang
Published: November 2021

This investigation reports the in situ growth of silver nanoparticles onto covalently bonded graphene oxide-chitosan, which serve as supported nanocatalysts for the NaBH4 reduction of 2,4-dinitrophenol in aqueous systems. Fumaryl chloride reacted with chitosan in an acidic environment to yield a tailored polymeric material. The latter was, in turn, treated with the pre-synthesised graphene oxide sheets under acidic conditions to generate the GO-functionalised membrane (GO-FL-CS). The adsorption of Ag+ from aqueous media by GO-FL-CS yielded a set of membranes that were decorated with silver nanoparticles (Ag NPs@GO-FL-CS) without any reducing agent. Various analytical tools were used to characterise these composites, including Fourier transform infrared spectroscopy, Brunauer-Emmett-Teller surface area analysis, X-ray diffraction, scanning electron microscopy/energy-dispersive X-ray analysis, inductively coupled plasma-mass spectrometry, and transmission electron microscopy. The silver-loaded materials were further used for the remediation of 2,4-dinitrophenol from aqueous solutions under batch operation. The BET analysis revealed that the functionalisation of GO with chitosan and Ag NPs (average size 20–60 nm) resulted in a three-fold increased surface area. The optimised catalyst (Ag mass loading 16.95%) displayed remarkable activity with an apparent pseudo-first-order rate constant of 13.5 × 10−3 min−1. The cyclic voltammetry experiment was conducted to determine the nitro-conversion pathway. The reusability/stability test showed no significant reduction efficiency of this metal-laden composite over six cycles. Findings from the study revealed that Ag NPs@GO-FL-CS could be employed as a low-cost and recyclable catalyst to convert toxic nitroaromatics in wastewater.
Biosynthesis of Poly-ß-Hydroxybutyrate (PHB) from Different Bacterial Strains Grown on Alternative Cheap Carbon Sources
Authors: El-Kadi Sherif M. , Elbagory Mohssen , EL-Zawawy Hassan A. H. , EL-Shaer Hossam F. A. , Shoukry Adel A. , El-Nahrawy Sahar , Omara Alaa El-Dein , Ali Dina Fathi Ismail
Published: November 2021

Thirty bacterial isolates were tested on three different media for Poly-ß-hydroxybutyrate (PHB) production. The best bacterial isolates for producing PHB were screened and identified based on molecular biology; then, using three different alternative carbon sources (dried whey, sugar beet molasses and date molasses), physical properties were evaluated by Infrared (IR) spectrometry and Gas chromatography–mass spectrometry (GC-MS/MS) analysis. Our results showed that the best isolates identified based on molecular biology were Bacillus paramycoides MCCC 1A04098, Azotobacter salinestris NBRC 102611 and Brevundimonas naejangsanensis BIO-TAS2-2. The addition of sugar beet molasses to the medium of A. salinestris increased the cell dry weight (CDW), PHB concentration, PHB% and conversion coefficient (4.97 g/L, 1.56 g/L, 31.38% and 23.92%, respectively). The correlation coefficient values between PHB g/L and CDW g/L varied between very strong and moderate positive correlation. IR of the produced PHB from B. paramycoides and A. salinestris showed similar bands which confirmed the presence of PHB; however, B. naejangsanensis showed weak bands, indicating lower PHB concentration. The chemical composition obtained showed that the GC-MS of the PHB extracted represents 2, 4-ditert-butylphenol for B. paramycoides and isopropyl ester of 2-butenoic acid for both of A. salinestris and Brevundimonas naejangsanensis. Therefore, PHB produced by microorganisms can be considered a biodegradable polyester, and represents a promising technique for the development of eco-friendly and fully biodegradable plastics.
Self-Assembled Silk Fibroin-Based Aggregates for Delivery of Camptothecin
Authors: Pérez Quiñones Javier , Roschger Cornelia , Zierer Andreas , Peniche-Covas Carlos , Brüggemann Oliver
Published: November 2021

A water-soluble hydrolysate of silk fibroin (SF) (~30 kDa) was esterified with tocopherol, ergocalciferol, and testosterone to form SF aggregates for the controlled delivery of the anticancer drug camptothecin (CPT). Elemental analysis and 1H NMR spectroscopy showed a degree of substitution (DS) on SF of 0.4 to 3.8 mol %. Yields of 58 to 71% on vitamins- and testosterone-grafted SF conjugates were achieved. CPT was efficiently incorporated into the lipophilic core of SF aggregates using a dialysis–precipitation method, achieving drug contents of 6.3–8.5 wt %. FTIR spectra and DSC thermograms showed that tocopherol- and testosterone-grafted SF conjugates predominantly adopted a β-sheet conformation. After the esterification of tyrosine residues on SF chains with the vitamin or testosterone, the hydrodynamic diameters almost doubled or tripled that of SF. The zeta potential values after esterification increased to about −30 mV, which favors the stability of aggregates in aqueous medium. Controlled and almost quantitative release of CPT was achieved after 6 days in PBS at 37 °C, with almost linear release during the first 8 h. MCF-7 cancer cells exhibited good uptake of CPT-loaded SF aggregates after 6 h, causing cell death and cell cycle arrest in the G2/M phase. Substantial uptake of the CPT-loaded aggregates into MCF-7 spheroids was shown after 3 days. Furthermore, all CPT-loaded SF aggregates demonstrated superior toxicity to MCF-7 spheroids compared with parent CPT. Blank SF aggregates induced no hemolysis at pH 6.2 and 7.4, while CPT-loaded SF aggregates provoked hemolysis at pH 6.2 but not at pH 7.4. In contrast, parent CPT caused hemolysis at both pH tested. Therefore, CPT-loaded SF aggregates are promising candidates for chemotherapy.
Characterization of Cassava Starch and Its Structural Changes Resulting of Thermal Stress by Functionally-Enhanced Derivative Spectroscopy (FEDS)
Authors: Garces Viviana , García-Quintero Angélica , Lerma Tulio A. , Palencia Manuel , Combatt Enrique M. , Arrieta Álvaro A.
Published: November 2021

Starch is one of the biopolymers that has been recognized as promising for its application as an eco-friendly substitute for conventional polymers due to its biodegradable nature, low cost, and considerable abundance from renewable vegetal-type resources. In particular, the use of cassava starch as raw material in the manufacture of packaging materials has increased in recent years. Consequently, the analytical study of the quality and features of starch and its derivatives throughout their entire life cycle have gained importance, with non-destructive sample methods being of particular interest. Among these, spectroscopic methods stand out. The aim of this study was evaluated using spectroscopic techniques (i.e., mid-infrared spectroscopy (MIRS) and functional-enhanced derivative spectroscopy (FEDS)) for the monitoring of the effect of the thermal stress of starch in conjunction with computational tools such as density-functional theory (DFT). It is concluded that the FEDS technique in conjunction with DFT calculations can be a useful tool for the high-precision spectral analysis of polymers subjected to small thermal perturbations. In addition, it is demonstrated that small changes produced by thermal stress can be monitored by infrared spectroscopy in conjunction with FEDS at wavenumber range between 3800 and 3000 cm−1, which would allow for the implementation of spectral techniques instead of thermal techniques for out-lab evaluations and for the study of the thermal stress of biomaterials.
Brownian Motion and Thermophoretic Effects in Mini Channels with Various Heights
Authors: Al Hajaj Zainab , Saghir Mohamad Ziad
Published: November 2021

Flow-through mini channels have received tremendous interest from researchers over a long period. However, the study of flow between the channel and on top of the channel has received little to no attention. In the present paper, different parameters have been used to investigate this heat enhancement. The height of 10 mini channels has been varied, allowing the corresponding aspect ratio to vary from 3 to 6, 9, and 12. When the aspect ratio is 12, flow circulates through the mini channel only, and when the aspect ratio is less than 12, flow is distributed between the one circulating inside the channel and moving on top of the channel. Different flow rates are studied corresponding to a Reynolds number varying from 250 to 1250 if water is the working fluid. Brownian and thermophoresis effects are taken into consideration to investigate the nanoparticle sedimentation. Results revealed that the optimum configuration, if one needs to take into consideration the friction factor, is 12. If one ignores the pressure drops, then the optimum configuration is when the aspect ratio is equal to 6. This means that the flow interaction between the one circulating in the channel and above the channel plays a major effect in heat removal.
Writing Orisha Music: Text, Tradition, and Creativity in Afro-Cuban Liturgy
Authors: Font-Navarrete David
Published: November 2021

This essay examines the flow of music associated with orisha—anthropomorphic deities—across networks defined variously by art, scholarship, folklore, and religion, all of which overlap and nourish each other. Transmitted via oral tradition, written texts, and multimedia technologies, a handful of orisha-themed songs are analyzed as case studies in the subtle nexus of liturgy and cultural authenticity. Taken together, the songs shed light on a broader phenomenon in which creatively-minded, ostensibly-secular iterations of culture play a significant role in the dissemination and ongoing codification of ritual orthodoxy. Orisha music traditions are analyzed as a fertile ground for a multitude of devotional and/or artistic expressions, many of which have a particularly ambiguous relationship to the concept of religion. In this context, the fluid movements of orisha music between ostensibly sacred and secular contexts can be usefully understood as not only common, but as a conspicuous and characteristic aspect of the tradition. The essay’s structure and rhetorical strategies offer distinct layers of cultural and historical commentary, reflecting a multi-vocal tradition of exchanges among orisha music scholars, artists, and ritual experts. The essay’s historical analysis of orisha music further suggests that a host of subtle, seldom-discussed phenomena—multilingualism, liturgical ambiguity, and transmission via multimedia technologies—are not necessarily aberrant or irregular, but rather vital themes which have resonated clearly across the Afro-Atlantic for at least a century. By obligating us to attend to both musical meaning and cultural context, the essay’s case studies of orisha music shed light on the mingling and synthesis of elements from varied historical sources, languages, and cultural idioms, each of which represent distinct notions of tradition, creativity, religiosity, and secularism.
Precipitation Products’ Inter–Comparison over East and Southern Africa 1983–2017
Authors: Cattani Elsa , Ferguglia Olivia , Merino Andrés , Levizzani Vincenzo
Published: November 2021

During recent decades East Africa (EA) and Southern Africa (SA) have experienced an intensification of hydrological hazards, such as floods and droughts, which have dramatically affected the population, making these areas two of the regions of the African continent most vulnerable to these hazards. Thus, precipitation monitoring and the evaluation of its variability have become fundamentally important actions through the analysis of long-term data records. In particular, satellite-based precipitation products are often used because they counterbalance the sparsity of the rain gauge networks which often characterize these areas. The aim of this work is to compare and contrast the capabilities of three daily satellite-based products in EA and SA from 1983 to 2017. The selected products are two daily rainfall datasets based on high-resolution thermal infrared observations, TAMSAT version 3 and CHIRPS, and a relatively new global product, MSWEP version 2.2, which merges satellite-based, rain gauge and re-analysis precipitation data. The datasets have been directly intercompared, avoiding the traditional rain gauge validation. This is done by means of pairwise comparison statistics at 0.25° spatial resolution and daily time scale to assess rain–detection and quantitative estimate capabilities. Monthly climatology and spatial distribution of seasonality are analyzed as well. The time evolution of the statistical indexes has been evaluated in order to analyze the stability of the rain detection and estimation performances. Considerable agreement among the precipitation products emerged from the analysis, in spite of the differences occurring in specific situations over complex terrain, such as mountainous and coastal regions and deserts. Moreover, the temporal evolution of the statistical indices has demonstrated that the agreement between the products improved over time, with more stable capabilities in identifying precipitating days and estimating daily precipitation starting in the second half of the 1990s.
Acquisition of the Wide Swath Significant Wave Height from HY-2C through Deep Learning
Authors: Wang Jichao , Yu Ting , Deng Fangyu , Ruan Zongli , Jia Yongjun
Published: November 2021

Significant wave height (SWH) is of great importance in industries such as ocean engineering, marine resource development, shipping and transportation. Haiyang-2C (HY-2C), the second operational satellite in China’s ocean dynamics exploration series, can provide all-weather, all-day, global observations of wave height, wind, and temperature. An altimeter can only measure the nadir wave height and other information, and a scatterometer can obtain the wind field with a wide swath. In this paper, a deep learning approach is applied to produce wide swath SWH data through the wind field using a scatterometer and the nadir wave height taken from an altimeter. Two test sets, 1-month data at 6 min intervals and 1-day data with an interval of 10 s, are fed into the trained model. Experiments indicate that the extending nadir SWH yields using a real-time wide swath grid product along a track, which can support oceanographic study, is superior for taking the swell characteristics of ERA5 into account as the input of the wide swath SWH model. In conclusion, the results demonstrate the effectiveness and feasibility of the wide swath SWH model.
Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
Authors: Ala’anzy Mohammed Alaa , Othman Mohamed , Hanapi Zurina Mohd , Alrshah Mohamed A.
Published: November 2021

Cloud computing is an emerging paradigm that offers flexible and seamless services for users based on their needs, including user budget savings. However, the involvement of a vast number of cloud users has made the scheduling of users’ tasks (i.e., cloudlets) a challenging issue in selecting suitable data centres, servers (hosts), and virtual machines (VMs). Cloudlet scheduling is an NP-complete problem that can be solved using various meta-heuristic algorithms, which are quite popular due to their effectiveness. Massive user tasks and rapid growth in cloud resources have become increasingly complex challenges; therefore, an efficient algorithm is necessary for allocating cloudlets efficiently to attain better execution times, resource utilisation, and waiting times. This paper proposes a cloudlet scheduling, locust inspired algorithm to reduce the average makespan and waiting time and to boost VM and server utilisation. The CloudSim toolkit was used to evaluate our algorithm’s efficiency, and the obtained results revealed that our algorithm outperforms other state-of-the-art nature-inspired algorithms, improving the average makespan, waiting time, and resource utilisation.
Extracting Fractional Vegetation Cover from Digital Photographs: A Comparison of In Situ, SamplePoint, and Image Classification Methods
Authors: Yu Xiaolei , Guo Xulin
Published: November 2021

Fractional vegetation cover is a key indicator of rangeland health. However, survey techniques such as line-point intercept transect, pin frame quadrats, and visual cover estimates can be time-consuming and are prone to subjective variations. For this reason, most studies only focus on overall vegetation cover, ignoring variation in live and dead fractions. In the arid regions of the Canadian prairies, grass cover is typically a mixture of green and senescent plant material, and it is essential to monitor both green and senescent vegetation fractional cover. In this study, we designed and built a camera stand to acquire the close-range photographs of rangeland fractional vegetation cover. Photographs were processed by four approaches: SamplePoint software, object-based image analysis (OBIA), unsupervised and supervised classifications to estimate the fractional cover of green vegetation, senescent vegetation, and background substrate. These estimates were compared to in situ surveys. Our results showed that the SamplePoint software is an effective alternative to field measurements, while the unsupervised classification lacked accuracy and consistency. The Object-based image classification performed better than other image classification methods. Overall, SamplePoint and OBIA produced mean values equivalent to those produced by in situ assessment. These findings suggest an unbiased, consistent, and expedient alternative to in situ grassland vegetation fractional cover estimation, which provides a permanent image record.
Development of Capacitive-Type Sensors by Electrochemical Anodization: Humidity and Touch Sensing Applications
Authors: Carneiro Joaquim O. , Ribeiro Artur , Miranda Filipe , Segundo Iran Rocha , Landi Salmon , Teixeira Vasco , Costa Manuel F. M.
Published: November 2021

This work describes the development of a capacitive-type sensor created from nanoporous anodic aluminium oxide (NP-AAO) prepared by the one-step anodization method conducted in potentiostatic mode and performed in a low-cost homemade system. A series of samples were prepared via an anodization campaign carried out on different acid electrolytes, in which the anodization parameters were adjusted to investigate the effect of pore size and porosity on the capacitive sensing performance. Two sensor test cases are investigated. The first case explores the use of highly uniform NP-AAO structures for humidity sensing applications while the second analyses the use of NP-AAO as a capacitive touch sensor for biological applications, namely, to detect the presence of small “objects” such as bacterial colonies of Escherichia Coli. A mathematical model based on equivalent electrical circuits was developed to evaluate the effect of humidity condensation (inside the pores) on the sensor capacitance and also to estimate the capacitance change of the sensor due to pore blocking by the presence of a certain number of bacterial microorganisms. Regarding the humidity sensing test cases, it was found that the sensitivity of the sensor fabricated in a phosphoric acid solution reaches up to 39 (pF/RH%), which is almost three times higher than the sensor fabricated in oxalic acid and about eight times higher than the sensor fabricated in sulfuric acid. Its improved sensitivity is explained in terms of the pore size effect on the mean free path and the loss of Brownian energy of the water vapour molecules. Concerning the touch sensing test case, it is demonstrated that the NP-AAO structures can be used as capacitive touch sensors because the magnitude of the capacitance change directly depends on the number of bacteria that cover the nanopores; the fraction of the electrode area activated by bacterial pore blocking is about 4.4% and 30.2% for B1 (E. Coli OD600nm = 0.1) and B2 (E. Coli OD600nm = 1) sensors, respectively.
Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN
Authors: He Jiajun , Wu Ping , Tong Yizhi , Zhang Xujie , Lei Meizhen , Gao Jinfeng
Published: November 2021

Bearings are the key and important components of rotating machinery. Effective bearing fault diagnosis can ensure operation safety and reduce maintenance costs. This paper aims to develop a novel bearing fault diagnosis method via an improved multi-scale convolutional neural network (IMSCNN). In traditional convolutional neural network (CNN), a fixed convolutional kernel is often employed in the convolutional layer. Thus, informative features can not be fully extracted for fault diagnosis. In the proposed IMSCNN, a 1D dimensional convolutional layer is used to mitigate the effect of noise contained in vibration signals. Then, four dilated convolutional kernels with different dilation rates are integrated to extract multi-scale features through the inception structure. Experimental results from the popular CWRU and PU datasets show the superiority of the proposed method by comparison with other related methods.
Data Collection, Modeling, and Classification for Gunshot and Gunshot-like Audio Events: A Case Study
Authors: Baliram Singh Rajesh , Zhuang Hanqi , Pawani Jeet Kiran
Published: November 2021

Distinguishing between a dangerous audio event like a gun firing and other non-life-threatening events, such as a plastic bag bursting, can mean the difference between life and death and, therefore, the necessary and unnecessary deployment of public safety personnel. Sounds generated by plastic bag explosions are often confused with real gunshot sounds, by either humans or computer algorithms. As a case study, the research reported in this paper offers insight into sounds of plastic bag explosions and gunshots. An experimental study in this research reveals that a deep learning-based classification model trained with a popular urban sound dataset containing gunshot sounds cannot distinguish plastic bag pop sounds from gunshot sounds. This study further shows that the same deep learning model, if trained with a dataset containing plastic pop sounds, can effectively detect the non-life-threatening sounds. For this purpose, first, a collection of plastic bag-popping sounds was recorded in different environments with varying parameters, such as plastic bag size and distance from the recording microphones. The audio clips’ duration ranged from 400 ms to 600 ms. This collection of data was then used, together with a gunshot sound dataset, to train a classification model based on a convolutional neural network (CNN) to differentiate life-threatening gunshot events from non-life-threatening plastic bag explosion events. A comparison between two feature extraction methods, the Mel-frequency cepstral coefficients (MFCC) and Mel-spectrograms, was also done. Experimental studies conducted in this research show that once the plastic bag pop sounds are injected into model training, the CNN classification model performs well in distinguishing actual gunshot sounds from plastic bag sounds.
Security Mechanisms of a Mobile Health Application for Promoting Physical Activity among Older Adults
Authors: Bastos David , Ribeiro José , Silva Fernando , Rodrigues Mário , Rabadão Carlos , Fernández-Caballero Antonio , Barraca João Paulo , Rocha Nelson Pacheco , Pereira António
Published: November 2021

Physical activity contributes to the maintenance of health conditions and functioning. However, the percentage of older adults who comply with the recommendations for physical activity levels is low when compared to the same percentages on younger groups. The SmartWalk system aims to encourage older adults to perform physical activity (i.e., walking in the city), which is monitored and adjusted by healthcare providers for best results. The study reported in this article focused on the implementation of SmartWalk security services to keep personal data safe during communications and while at rest, which were validated considering a comprehensive use case. The security framework offers various mechanisms, including an authentication system that was designed to complement the pairs of usernames and passwords with trusted execution environments and token-based features, authorization with different access levels, symmetric and asymmetric key cryptography, critical transactions review, and logging supported by blockchain technology. The resulting implementation contributes for a common understanding of the security features of trustful smart cities’ applications, which conforms with existing legislation and regulations.
Giant Wrinkles on the Surface of Epitaxial BaTiO3 Thin Films with Drastic Shrinkage during Transfer from a MgO(100) Single-Crystal Substrate to a Flexible Polyethylene Terephthalate Sheet
Authors: Nishikawa Hiroaki , Umatani Shinji , Mizuyama Tomofumi , Hiraoka Akihiro , Mikami Katsuhiro
Published: November 2021

The transfer of ferroelectric and piezoelectric BaTiO3 epitaxial thin films from an original MgO(100) single-crystal substrate to a polyethylene terephthalate (PET) sheet has been studied to fabricate flexible epitaxial functional oxides. The outline of our previous transfer process is as follows: the epitaxial BaTiO3 thin films were deposited on the MgO(100). Then, the surface of the BaTiO3 was adhered onto a PET sheet. Finally, only the MgO(100) substrate was dissolved in a phosphoric aqueous solution, which resulted in the transfer of the epitaxial BaTiO3 thin film from the MgO(100) to a PET sheet. To establish this transfer process, our aim was to prevent any damage, such as cracks and exfoliation, during the transfer of the epitaxial functional oxides. We found that a Pt buffer layer with a ductile nature was effective for improving the quality of transferred epitaxial BaTiO3 thin films. Moreover, the epitaxial BaTiO3 thin films showed a drastic shrinkage of ca. 10%. The surfaces of the shrunk, epitaxial BaTiO3 thin films showed giant wrinkles with a micrometer-order amplitude and a 10-μm-order periodicity without any damage. The epitaxial BaTiO3 thin films with giant wrinkles, accompanied by drastic shrinkage, are similar to the thin films that are coated on a pre-stretched elastomer, which is one of the fabrication processes of stretchable devices.
Exploring Extrinsic and Intrinsic Work Values of British Ethnic Minorities: The Roles of Demographic Background, Job Characteristics and Immigrant Generation
Authors: Wang Senhu , Morav Liran
Published: November 2021

Despite the increasingly diverse ethnic composition of the British labor force, there is no research investigating whether ethnic minorities have different work values from the White British demographic (White British). Using nationally representative data (2012–2013), this article fills this gap by comparing extrinsic and intrinsic work values between White British and five ethnic minorities, while distinguishing between first and second generations. The results show that both first- and second- generation minorities have stronger extrinsic work values than White British, but the ethnic differences are more pronounced for the second generations. Compared to White British, while first-generation minorities have weaker intrinsic work values, the second generations have stronger intrinsic work values. Differences in extrinsic work values are partly explained by differences in age, education and income, while differences in intrinsic work values are largely explained by age, education and job autonomy. These results hold significant implications for understanding the career choices of ethnic minorities and labor market outcomes.
Rethinking Terraces and Dry-Stone Walls in the Alps for Sustainable Development: The Case of Mombarone/Alto Eporediese in Piedmont Region (Italy)
Authors: Bertolino Maria Anna , Corrado Federica
Published: November 2021

Nowadays, agricultural terraces and dry-stone walls have become protagonists of a territorial “rebirth” through a process of resemantization that recognizes them as a local resource. In relation to this focus, this article deals with a specific case study located in the Mombarone/Alto Eporediese area, in the northern part of the Piedmont Region (Italy), where terraced landscapes represent a unique environmental heritage, which has been partially abandoned. In this article, we illustrate the process carried out by local institutions in the Strategic Plan “Dalla Dora al Mombarone” and by the European Project Interreg Alcotra “Vi.A.- Route of Alpine Vineyards” which have involved many stakeholders of the local communities. In particular, starting from the results obtained by the engagement of social and territorial scientists in the projects mentioned above, we examined how terraces can support the reconstruction of a specific sense of place by the local community and the implementation of a sustainable development model through innovative solutions that go beyond the tradition in a frame of a green, soft and inclusive economy.
Product Characteristics of Sludge Pyrolysis and Adsorption Performance of Metals by Char
Authors: Lin Kuo-Hsiung , Tsai Jiun-Horng , Chou Zhi-Wei , Chiang Hung-Lung
Published: November 2021

The microwave heating system was used for sludge pyrolysis. The raw sludge and KOH-immersed sludge were pyrolyzed and their product characteristics were determined. The research results are advantageous to understand the influence of KOH activation on characteristics of pyrolysis products and the adsorption performance of metals in char. In the case of a high temperature and high KOH dose, most of the lost mass from sludge pyrolysis was converted into gaseous products instead of oil. The heat values of liquid oils were 40.86–41.39 MJ kg−1, which has the potential for use as fuels. The use of a higher KOH dose for sludge pyrolysis is beneficial to the porosity development and generates a mesopore structure. The results from adsorption tests indicate that precipitation could be the dominant adsorption mechanism due to the binding between alkaline anion and carbonate and metal ions with a strong chemical affinity. The high KOH dose sludge adsorbent has a remarkable adsorption performance and can be used as adsorbent for the removal of the studied metals.
Social Network Analysis of the Stakeholders Involved in the Dromedary Sector in the Mediterranean Region
Authors: Alary Véronique , Amsidder Lina , Araba Abdelilah , Capote Cecilio Barba , Bedhiaf-Romdhani Sonia , Bensalem Wiem , Boujenane Ismail , Elena Ciani , Letaief Neirouz , Faye Bernard , Gaouar Semir Bechir Suheil , Pastrana Carlos Iglesias , Baena Sergio Nogales , Amine Laridji
Published: November 2021

Marginal arid zones in the south Mediterranean are faced with the dramatic departure of their labor forces through migration. Interest in the capacity of the dromedary species to enhance desert ecosystems and to be a potential lever of economic development of these marginal zones only started to grow in the last two decades. Based on an empirical survey of 179 stakeholders in four Mediterranean countries, we explored the links of the stakeholders in the dromedary sector in two dimensions: horizontal links with peers and vertical links along the value chain and in resource management. Both descriptive statistics and social network analysis highlight the original organization of the dromedary sector around herders and their social and cultural organization at the territorial level. Therefore, even if milk production and processing start to constitute an opportunity for the young generation who do not necessarily have the financial capacity to invest in a large dromedary herd, this change towards milk valorization can only happen if it is linked with the traditional system based on mobility. Using a systemic approach and working toward multiple valorizations of dromedary products instead of only targeting milk productivity should be explored.
Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore
Authors: Shan Ming , Li Yu-Shan , Hwang Bon-Gang , Chua Jia-En
Published: November 2021

Although some studies have used or developed different types of metrics to assess construction productivity in the existing literature, few of them investigated those metrics systematically and the differences between assessment results. This study examined the various types of metrics used in the assessment of the productivity of construction projects. First, a literature review was conducted first to identify prevailing productivity metrics at four levels, namely trade, project, company, and industry. Then, the questionnaire was developed and disseminated to 53 Singapore-based construction companies for data collection. Subsequently, non-parametric statistical tests were conducted to analyze the data collected by the questionnaire. Results showed that the top five metrics in terms of usage frequency and relative importance were “constructability score”, “buildable design score”, “square meter of built-up floor area per man-day”, “square meter per dollar”, and “output per worker.” In addition, results showed that differences existed in the assessment results when productivity metrics at different levels were used to conduct the same measurement. This is the first study to explore the most widely used metrics in productivity assessments of construction projects and investigate possible differences in assessment results. This study could help the authorities to review, evaluate, and modify the productivity metrics used in practice. Thus, this study is beneficial to the practice as well.
The Ethically Conscious Flower Consumer: Understanding Fair Trade Cut Flower Purchase Behavior in Germany
Authors: Rombach Meike , Dean David L. , Widmar Nicole J. Olynk , Bitsch Vera
Published: November 2021

Fair trade flowers are an important niche product relevant to ethically conscious consumers. The study proposes a model that investigates key factors affecting the behavior of these cut flower consumers in Germany. The study serves to complement the existing studies dedicated to preferences for flower attributes and products, as well as consumers’ willingness to pay. It builds on an online survey with a representative sample of 772 German cut-flower consumers. Partial least squares structural equation modelling shows that concern for the treatment of workers from countries with poor environmental and labor reputations, the breadth of fair trade cut flower information sources, and familiarity with the fair trade concept and its influence on flower production issues positively impact the relative importance that consumers dedicate to fair trade certification as a cut flower attribute. The same factors also positively impact fair trade cut flower buying behavior. Socio-demographic factors did not show any impact. The study concludes with best practice recommendations for retailers and horticultural marketers on how to address the needs and wants of ethically conscious consumers.
Adoption of Social Media Marketing for Sustainable Business Growth of SMEs in Emerging Economies: The Moderating Role of Leadership Support
Authors: Chatterjee Sheshadri , Chaudhuri Ranjan , Sakka Georgia , Grandhi Balakrishna , Galati Antonino , Siachou Evangelia , Vrontis Demetris
Published: November 2021

Social media marketing (SMM) plays an important role in business communication, marketing, operations, and other activities. There is a growing interest among researchers, academicians, and practitioners to understand the role of SMM in business sustainability in small and medium enterprises (SMEs) in an emerging economy, like India. Few studies have attempted to understand this role. Thus, the aim of this study is to examine the impact of adopting social media marketing for sustainable business growth of SMEs in an emerging economy. The study also investigates the moderating role of SME leadership support on the relationship between SMM usage and sustainable business growth of SMEs. After reviewing the existing literature and technology adoption model, a theoretical model is developed, which is then validated using a structural equation modeling technique to analyze 304 samples of Indian SMEs that use different social media marketing applications in their enterprises. This study confirmed that SMM tools significantly and positively improve the sustainable growth of SMEs in an emerging economy. Additionally, the study also found that SME leadership team plays a vital role in supporting actual usage of SMM tools that accelerate sustainable business growth of SMEs.
Nephelium lappaceum Extract as an Organic Inhibitor to Control the Corrosion of Carbon Steel Weldment in the Acidic Environment
Authors: Gapsari Femiana , Darmadi Djarot B. , Setyarini Putu H. , Izzuddin Hubby , Madurani Kartika A. , Tanji Ayoub , Hermawan Hendra
Published: November 2021

Organic inhibitors have been considered as an effective way to control the corrosion of carbon steel weldment in an acidic environment. This work proposes a new green organic inhibitor made of extract of rambutan fruit (Nephelium lappaceum) peel and aims at analyzing its corrosion inhibitor properties and protection mechanism. Specimens of carbon steel weldment were tested for their corrosion by using electrochemical and immersion methods in 1 M HCl solution containing 0 to 6 g/L of Nephelium peel (NP) extract. Results showed that, in the same solution, the corrosion rate was measured to be higher on the weld metal zone than that of base metal zone, which could be related to the coarser grain of the weld metal zone and the stability of the formed oxide layer. The addition of NP extract was found to increase the stability of the oxide layer, thus increasing the corrosion resistance of the specimens. The maximum inhibition efficiency of the NP extract was reached at 97% for weld metal with 5 g/L of extract, at 80% for the heat affected zone with 5 g/L, and at 70% for base metal with 4 g/L. This work reveals the particularity of different weldment zones to the different needs of inhibitor concentration for obtaining the optimum corrosion protection.
Broadening the Perspective of Zero-Deforestation Interventions in Peru by Incorporating Concepts from the Global Value Chain Literature
Authors: Castro-Nunez Augusto Carlos , Villarino Ma. Eliza J. , Bax Vincent , Ganzenmüller Raphael , Francesconi Wendy
Published: November 2021

Global narratives around the links between deforestation and agricultural commodity production have led to the application of voluntary zero-deforestation agreements between companies, governments, and civil society. The continued tropical deforestation warrants a re-examination of this approach in order to customize its application for a particular location. Our paper contributes to this by exploring the spatial associations between deforestation and the production of cacao, coffee, and oil palm in the Amazon region in Peru. The geographical overlaps between deforestation, and the distribution of these commodity crops, indicate four types of spatial associations: (1) a high degree of deforestation and a high degree of commodity production (high-high); (2) a high degree of deforestation and a low degree of commodity production (high-low); (3) a low degree of deforestation and a high degree of commodity production (low-high); and (4) a low degree of deforestation and a low degree of commodity production (low-low). On the basis of these associations, we present four scenarios in which zero-deforestation supply chain interventions may operate in Peru and argue that broadening the perspective of such interventions by adopting a global value chain lens can improve the use of previously deforested lands, prevent unintended or future deforestation and, in turn, ensure that no forest area is left behind.
Challenges for Digitalisation in Building Renovation to Enhance the Efficiency of the Process: A Spanish Case Study
Authors: Lasarte Natalia , Elguezabal Peru , Sagarna Maialen , Leon Iñigo , Otaduy Juan Pedro
Published: November 2021

Although construction is one of the largest industries in the world, it is one of the least digitised and its productivity is still very low. Excesses of time and cost are common and are even more accentuated for building renovation. Recently, the building information modeling (BIM) methodology has strongly entered in the construction sector and appears to be an effective paradigm shift. Considering all of the previously mentioned aspects, this article addresses the identification and analysis of the critical barriers of renovation and the potential for digitalisation to overcome them using BIM. The methodology that was used is based on an open innovation approach called Living Labs, where consultations with the key stakeholders of the construction process aims for a higher digitalisation to focus on real needs and fitted to the user’s requirements. Starting from a worldwide survey, the analysis of the Spanish casuistry is deepened. From the analysis of barriers and opportunities, the necessary requirements for an optimal BIM application in renovation are highlighted. After identifying the key aspects that each stakeholder’ typology has considered as relevant, a set of key performance indicators have been selected, to monitor the improvements in the renovation process when BIM is adopted.