bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Square Dance Exercise on Older Women With Mild Mental Disorders
Authors: Chang Jindong , Chen Yuping , Liu Chunzhen , Yong Liming , Yang Ming , Zhu Wenbing , Wang Jibing , Yan Jiagao
Published: July 2021

Many epidemiological studies have demonstrated the therapeutic benefits of exercise (EX) that can be used for adjunctive treatment in mental disorders. Despite several clinical experiments using exercise interventions, controlled studies are sparse in most disorder groups. Square dance is a popular aerobic exercise for older women in China. This study aimed to explore the effect of Chinese square dance exercise on mild mental disorders in older women. Participants included 109 older women with mild cognitive impairment from four large nursing homes. Participants were assigned either to the intervention group (n = 62) or the control group (n = 47), according to their residential nursing home. The intervention group underwent an 18-week square dance exercise, while the control group maintained their usual lifestyle. The outcomes were tested at baseline and weeks 9 and 18. The results showed that square dance exercise positively affected the results of all evaluations, especially on the participants' depressive symptoms and quality-of-life-related mental health. This study demonstrates that square dance exercise is a safe and effective approach for older women with mild cognitive impairment that benefits their long-term health.
Insights Into Excess Mortality During the First Months of the COVID-19 Pandemic From a Rural, Demographic Surveillance Site in Bangladesh
Authors: Hanifi Syed Manzoor Ahmed , Alam Sayed Saidul , Shuma Sanjida Siddiqua , Reidpath Daniel D.
Published: July 2021

Background: Coronavirus disease 2019 (COVID-19) has spread globally, and the government of each affected country is publishing the number of deaths every day. This official figure is an underestimate as it excludes anybody who did not die in a hospital, who did not test positive, who had a false result, or those who recovered on their own without a test.

Objective: This study aimed to measure the community level excess mortality using health and demographic surveillance in a rural area of Bangladesh.

Method: The study was conducted in Matlab, in a rural area of Bangladesh, with a Health and Demographic Surveillance System (HDSS) covering a population of 239,030 individuals living in 54,823 households in 142 villages. We examined the mortality in January-April from 2015 to 2020 and compared the mortality in 2020 with the historical trend of 2015–2019. Between 2015 and 2020, we followed 276,868 people until migration or death, whichever occurred first. We analyzed mortality using crude mortality rate ratio (MRR) and adjusted MRR (aMRR) from a Cox proportional hazard model. Mortality was analyzed according to age, sex, and period.

Results: During follow-up, 3,197 people died. The mortality rate per 1,000 person-years increased from 10 in 2019 to 12 in 2020. Excess mortality was observed among the elderly population (aged 65 years and above). The elderly mortality rate per 1,000 person-years increased from 80 in 2019 to 110 in 2020, and the aMRR was 1.40 (95% CI: 1.19–1.64). Although an increasing tendency in mortality was observed between 2015 and 2019, it was statistically insignificant.

Conclusions: The study reported a 28% increase in excess deaths among the elderly population during the first months of the pandemic. This all-cause mortality estimation at the community level will urge policymakers, public health professionals, and researchers to further investigate the causes of death and the underlying reasons for excess deaths in the older age-group.
Opportunities for Capacity Building to Create Healthy School Communities in the Netherlands: Focus Group Discussions With Dutch Pupils
Authors: van Dongen Bonnie Maria , de Vries Inge Maria , Ridder Monica Antonia Maria , Renders Carry Mira , Steenhuis Ingrid Hendrika Margaretha
Published: July 2021

Background: To sustainably implement a healthy school community in which stakeholders, including pupils, feel ownership over health-promotion activities, building community capacity is important. Pupils have experiential knowledge that is complementary to professional knowledge, but their perspectives on capacity-building processes are underexposed. This study aims to explore secondary-school pupils' perceptions about key influencers on physical activity and dietary choices and starting points for building community capacity.

Methods: Seven focus groups with forty one pupils were held in four secondary schools engaged in a capacity-building intervention. Transcripts were analysed thematically regarding key influencers about choices in the home and school setting and capacity-building strategies (leadership, participation, tailored health-promotion activities and local networks).

Results: Parents remained important influencers for making healthy choices, but snacking choices were increasingly made independently from parents based on attractiveness, availability and cost. Choices to engage in physical activity depended on social aspects and opportunities in the physical environment. Pupils considered their influence over the healthy school community limited, desired more involvement, but require this to be facilitated. They identified leaders mainly within formal structures, for example, student councils. They believed health-promotion activities related to the physical environment and project-based activities within the curriculum have the maximum potential to stimulate healthy behaviours in school communities.

Conclusion: This study shows that pupils can reflect critically on their physical activity and dietary choices, and on how this can contribute to processes in creating a healthy school community. In order to take an active role, they need to be considered as full partners and leadership roles should be facilitated in existing structures.
Social-Ecological Factors Associated With Higher Levels of Resilience in Children and Youth After Disaster: The Importance of Caregiver and Peer Support
Authors: McDonald-Harker Caroline , Drolet Julie L. , Sehgal Anika , Brown Matthew R. G. , Silverstone Peter H. , Brett-MacLean Pamela , Agyapong Vincent I. O.
Published: July 2021

Children and youth are among the most vulnerable to the devastating effects of disaster due to the physical, cognitive, and social factors related to their developmental life stage. Yet children and youth also have the capacity to be resilient and act as powerful catalysts for change in their own lives and wider communities following disaster. Specific factors that contribute to resilience in children and youth, however, remain relatively unexplored. This article examines factors associated with high levels of resilience in 100 children and youth aged 5- to 18-years old who experienced the 2016 Fort McMurray, Alberta wildfire. A mixed-methods design was employed combining quantitative and qualitative data. Quantitative data was obtained from the Children and Youth Resilience Measure (CYRM-28) which measured individual, caregiver, and context factors influencing resilience processes among the participants. Qualitative data was collected through semi-structured interviews to gain further insight into the disaster experiences of children and youth. Quantitative findings reveal higher than average levels of resilience among the participants compared to normative scores. Qualitative findings suggest high levels of resilience were associated with both caregiver factors (specifically physical caregiving), and individual factors (primarily peer support). We discuss how physical caregiving and peer support during and after the wildfire helped mitigate the negative effects of disaster, thus bolstering children and youth's resilience. Implications for understanding the specific social-ecological factors that facilitate and support resiliency processes and overall recovery of children and youth following disaster are also discussed.
Radiosensitization Effect of Gold Nanoparticles in Proton Therapy
Authors: Cunningham Charnay , de Kock Maryna , Engelbrecht Monique , Miles Xanthene , Slabbert Jacobus , Vandevoorde Charlot
Published: July 2021

The number of proton therapy facilities and the clinical usage of high energy proton beams for cancer treatment has substantially increased over the last decade. This is mainly due to the superior dose distribution of proton beams resulting in a reduction of side effects and a lower integral dose compared to conventional X-ray radiotherapy. More recently, the usage of metallic nanoparticles as radiosensitizers to enhance radiotherapy is receiving growing attention. While this strategy was originally intended for X-ray radiotherapy, there is currently a small number of experimental studies indicating promising results for proton therapy. However, most of these studies used low proton energies, which are less applicable to clinical practice; and very small gold nanoparticles (AuNPs). Therefore, this proof of principle study evaluates the radiosensitization effect of larger AuNPs in combination with a 200 MeV proton beam. CHO-K1 cells were exposed to a concentration of 10 μg/ml of 50 nm AuNPs for 4 hours before irradiation with a clinical proton beam at NRF iThemba LABS. AuNP internalization was confirmed by inductively coupled mass spectrometry and transmission electron microscopy, showing a random distribution of AuNPs throughout the cytoplasm of the cells and even some close localization to the nuclear membrane. The combined exposure to AuNPs and protons resulted in an increase in cell killing, which was 27.1% at 2 Gy and 43.8% at 6 Gy, compared to proton irradiation alone, illustrating the radiosensitizing potential of AuNPs. Additionally, cells were irradiated at different positions along the proton depth-dose curve to investigate the LET-dependence of AuNP radiosensitization. An increase in cytogenetic damage was observed at all depths for the combined treatment compared to protons alone, but no incremental increase with LET could be determined. In conclusion, this study confirms the potential of 50 nm AuNPs to increase the therapeutic efficacy of proton therapy.
Beyond Rational Choice Theory: Multifaceted Determinants of Participation in Palm Oil Sustainable Certification Amongst Smallholders in Malaysia
Authors: Ahmad Rizal Ammar Redza , Md Nordin Shahrina , Hussin Siti Haslina , Hussin Siti Rahayu
Published: July 2021

The demand for palm oil is steadily increasing where global consumption in 2020 has reached 77 million metric tons or equivalent to 7 kg of palm per capita usage. However, the industry is under critics for unsustainable production practice and environmental degradation due to unscrupulous deforestation. One of the measures taken to ensure sustainability practices in the industry in Malaysia includes certifications such as the Roundtable on Sustainable Palm Oil (RSPO) and the Malaysian Sustainable Palm Oil (MSPO). These certifications are offered to industry players/plantation giants in which all stakeholders/members need to fulfill stringent requirements in order to obtain the certification. Efforts are now being taken to ensure that every stakeholder in the palm oil industry obtain sustainable certification, and this includes effort to enable smallholders to also follow the guidelines and fulfill the certification requirements. However, as of 2021, only 30% smallholders were certified despite the rigorous efforts made. Several factors may have hindered the participation of these smallholders. Hence, it is crucial that the agencies involved in managing this industry identify the factors influencing the certification of smallholders. The identification of these determinants will help policymakers to strengthen policy in disseminating sustainability practices in the palm oil industry. The objective of the current study is to identify factors influencing smallholders' participation in palm oil certification in Malaysia. This study looks beyond rational choice theory and develops a model based on elements of social structure and interaction. Quantitative approaches through questionnaire survey were used in this study. Purposive sampling was used, and data collections involved 200 oil palm smallholders in Malaysia. Four elements, namely, “Perceived Economic Benefit,” “Social Interaction,” “Shared Identity,” and “Communication Discourse,” were found to have significant influences on smallholders' participation in palm oil sustainable certification. Implication and future recommendation were included in the concluding remark.
Gender Roles, Implications for Water, Land, and Food Security in a Changing Climate: A Systematic Review
Authors: Tantoh Henry Bikwibili , McKay Tracey T. J. M. , Donkor Felix Ekwabena , Simatele Mulala Danny
Published: July 2021

Water and land are vital resources essential to ensuring sustainable and productive rural economies. They are also essential for safeguarding food security and socio-economic development. In spite of this, the concept of water-land-food (WLF) security nexus has generally been examined from a top-down manner with women mostly disenfranchised in the access and management of water and land in particular. Concurrently, risks linked with climate crisis aggravate gender inequalities. The limited access to resources, restricted formal rights through top-down management exacerbates the vulnerability of poor rural women. Furthermore, policy development procedures follow a sectoral approach with no account of interrelationship and interdependence between the sectors. This, directly and indirectly limits the stewardship of natural resources and mitigation of the effects of climate change. This study, therefore, examines gender roles and their implications for water, land, and food security in a changing climate through an integrative systematic review of literature in Sub-Saharan Africa. It further explains the importance to consider the nexus in adaptation. Food security and sustainable livelihoods could be ensured if women can freely and adequately access land and participate in decision-making processes.
Proctored Step by Step Training Program for GreenLight Laser Anatomic Photovaporization of the Prostate: A Single Surgeon's Experience
Authors: Sessa Francesco , Campi Riccardo , Granieri Stefano , Tuccio Agostino , Polverino Paolo , Spatafora Pietro , Sebastianelli Arcangelo , Cocci Andrea , Rivetti Anna , Gacci Mauro , Carini Marco , Serni Sergio , Oriti Rino , Minervini Andrea
Published: July 2021

Objectives: To evaluate the feasibility and safety of a proctored step-by-step training program for GreenLight laser anatomic photovaporization (aPVP) of the prostate.

Methods: Data from patients undergoing aPVP between January 2019 and December 2020 operated by a single surgeon following a dedicated step-by-step proctored program were prospectively collected. The procedure was divided into five modular steps of increasing complexity. Preoperative patients' data as well as total operative time, energy delivered on the prostate and postoperative data, were recorded. Then, we assessed how the overall amount of energy delivered and the operative times varied during the training program. Surgical steps were analyzed by cumulative summation. Univariable and multivariable regression models were built to assess the predictors of the amount of energy delivered on the prostate.

Results: Sixty consecutive patients were included in the analysis. Median prostate volume was 56.5 mL. The training program was succesfully completed with no intraoperative or meaningful post-operative complications. The energy delivered reached the plateau after the 40th case. At multivariable analysis, increasing surgeon experience was associated with lower amounts of energy delivered as well as lower operative times.

Conclusions: A step-by-step aPVP training program can be safely performed by surgeons with prior endoscopic experience if mentored by a skilled proctor. Considering the energy delivered as an efficacy surrogate metrics (given its potential impact on persistent postoperative LUTS), 40 cases are needed to reach a plateau for aPVP proficiency. Further studies are needed to assess the safety of our step-by-step training modular program in other clinical contexts.
Development of a Method to Detect Mycobacterium paratuberculosis in the Blood of Farmed Deer Using Actiphage® Rapid
Authors: Kubala Anton , Perehinec Tania M. , Evans Catherine , Pirovano Andrea , Swift Benjamin M. C. , Rees Catherine E. D.
Published: July 2021

Mycobacterium avium subsp paratuberculosis (MAP) is the causative agent of Johne's disease, which is an economically and clinically relevant pathogen for commercial deer production. The purpose of this study was to develop a method that could be used to rapidly detect MAP infection in deer using the Actiphage Rapid blood test. This test has previously been used to detect MAP in cattle blood following the purification of buffy coat using Ficoll gradients, however this method is quite laborious and costly. The purpose of this study was to develop a simpler method of blood preparation that was also compatible with deer blood and the Actiphage test. Initially differential lysis of RBCs using Ammonium Chloride-Potassium (ACK) blood lysis buffer was compared with the Ficoll gradient centrifugation method using cattle blood samples for compatibility with the Actiphage reagents, and it was found that the simpler ACK method did not have an impact on the Actiphage test reagents, producing an equivalent sensitivity for detection of low levels of MAP. When the two methods were compared using clinical blood samples from farmed deer, the ACK lysis method resulted in a cleaner sample. When a blinded test of 132 animals from 4 different production groups was carried out, the majority of the positive test results were found to be from animals in just one group, with a small number identified in a second group. The test results were found to be reproducible when a small set of positive animals were tested again 1 month after their initial testing. Finally a set of negative animals which had been previously screened using an ELISA test, all animals gave a negative Actiphage result. This study shows that this improved sample preparation method and Actiphage blood testing can be used to test blood samples from deer, and the full diagnostic potential of the method can now be evaluated.
Neural Nonlinear Autoregressive Model with Exogenous Input (NARX) for Turboshaft Aeroengine Fuel Control Unit Model
Authors: De Giorgi Maria Grazia , Strafella Luciano , Ficarella Antonio
Published: July 2021

One of the most important parts of a turboshaft engine, which has a direct impact on the performance of the engine and, as a result, on the performance of the propulsion system, is the engine fuel control system. The traditional engine control system is a sensor-based control method, which uses measurable parameters to control engine performance. In this context, engine component degradation leads to a change in the relationship between the measurable parameters and the engine performance parameters, and thus an increase of control errors. In this work, a nonlinear model predictive control method for turboshaft direct fuel control is implemented to improve engine response ability also in presence of degraded conditions. The control objective of the proposed model is the prediction of the specific fuel consumption directly instead of the measurable parameters. In this way is possible decentralize controller functions and realize an intelligent engine with the development of a distributed control system. Artificial Neural Networks (ANN) are widely used as data-driven models for modelling of complex systems such as aeroengine performance. In this paper, two Nonlinear Autoregressive Neural Networks have been trained to predict the specific fuel consumption for several transient flight maneuvers. The data used for the ANN predictions have been estimated through the Gas Turbine Simulation Program. In particular the first ANN predicts the state variables based on flight conditions and the second one predicts the performance parameter based on the previous predicted variables. The results show a good approximation of the studied variables also in degraded conditions.
Effect of Calcium Cyanamide on Soil Fungal Community in Successive Tea-Cuttings Nursery
Authors: Qiu Qinli , Fan Dongmei , Wang Yinmao , Huang Danyi , Wang Yu , Ma Junhui , Wang Xiaochang
Published: July 2021

The effects of calcium cyanamide on the soil fungal communities in successive tea-cuttings nursery soils were investigated based on Illumina high-throughput sequencing. The field experiment was carried out with three treatments, including control (CK), flooding (F) and calcium cyanamide (CC). The treatment with calcium cyanamide increased pH (~1 unit) and reduced the accumulation of phenols (~50%), available phosphorus (~28%) and exchangeable Al (~90%) significantly, and improved soil quality. The predominant phylum in all treatments was Ascomycota. FUNGuild revealed that the dominant trophic mode was saprotrophy in tea-cuttings nursery soil. Plant pathogens had a low abundance in the calcium cyanamide treatment. Alpha diversity analysis showed lower richness in the calcium cyanamide than the other treatments. Network analysis showed a poorly connected but highly modularized network in the calcium cyanamide treatment, with the crucial OTUs functions related to anti-pathogenicity. The results showed that calcium cyanamide should be recommended for improving long-term tea nurseries by increasing the survival rate of tea seedlings due to increasing soil pH value, reducing aluminum toxicity, decreasing the accumulation of polyphenols, diminishing pathogenic fungi and making the taxa related to anti-pathogenicity occupy a more important niche.
Tree Canopy Management Affects Dynamics of Herbaceous Vegetation and Soil Moisture in Silvopasture Systems Using Arboreal Legumes
Authors: da Silva Izabela A. Gomes , Dubeux José C. B. , Santos Mércia Virginia Ferreira , de Mello Alexandre Carneiro Leão , Cunha Márcio Vieira , Apolinário Valéria X. O. , de Freitas Erinaldo Viana
Published: July 2021

Understanding ecological interactions between the arboreal and the herbaceous components is key to get the full benefits from silvopastoral systems. The objective of this 2-yr research was to evaluate productivity and nutritive value of signalgrass (Urochloa decumbens (Stapf.) R. Webster) subjected to shading from the tree legumes Gliricidia (Gliricidia sepium (Jacq.) Steud) or Mimosa (Mimosa caesalpiniifolia Benth.) under different tree canopy management. Trees were planted in double rows and were either unharvested or harvested only one row, leaving the other row unharvested. Response variables for the herbaceous vegetation included canopy height, herbage mass (green leaf blade, green stem, senescent leaves, and senescent stem), herbage accumulation rate, canopy bulk density, and soil moisture. Total herbage mass, green herbage mass, and green leaf mass were affected by treatment × month and harvest management × month interactions. Herbage accumulation rate in Gliricidia was greater (55 kg DM ha−1d−1) than Mimosa (32 kg DM ha−1d−1). Soil moisture was lesser at the Mimosa sites (16.2%) compared with the Gliricidia ones (17.2%), and it was greater between tree rows (21.9%) compared with full sun (11.5%), varying across the season. Harvesting management had a short-term transient effect on herbage responses. Tree canopy management can affect forage quantity and quality; however, these effects are transient and vary with tree spacing. Signalgrass grew faster and had better nutritive value when growing with Gliricidia.
Phylogenetic Analyses of Rhizobia Isolated from Nodules of Lupinus angustifolius in Northern Tunisia Reveal Devosia sp. as a New Microsymbiont of Lupin Species
Authors: Msaddak Abdelhakim , Rey Luis , Imperial Juan , Palacios José Manuel , Mars Mohamed , Pueyo José J.
Published: July 2021

Thirty-two bacterial isolates were obtained from root nodules of Lupinus angustifolius growing in Northern Tunisia. Phylogenetic analyses based on recA and gyrB partial gene sequences grouped the strains into six clusters: four clusters belonged to the genus Bradyrhizobium (22 isolates), one to Microvirga (8 isolates) and one to Devosia (2 isolates), a genus that has not been previously reported to nodulate lupin. Representative strains of each group were further characterized. Multi-Locus Sequence Analysis (MLSA) based on recA and glnII gene sequences separated the strains within the genus Bradyrhizobium into four divergent clusters related to B. canariense, B. liaoningense, B. lupini, and B. algeriense, respectively. The latter might constitute a new Bradyrhizobium species. The strains in the Microvirga cluster showed high identity with M. tunisiensis. The Devosia isolates might also represent a new species within this genus. An additional phylogenetic analysis based on the symbiotic gene nodC affiliated the strains to symbiovars genistearum, mediterranense, and to a possibly new symbiovar. These results altogether contributed to the existing knowledge on the genetic diversity of lupin-nodulating microsymbionts and revealed a likely new, fast-growing, salt-tolerant rhizobial species within the genus Devosia as a potentially useful inoculant in agricultural practices or landscape restoration.
Evaluation of Resistance Sources of Tomato (Solanum lycopersicum L.) to Phylotype I Strains of Ralstonia solanacearum Species Complex in Benin
Authors: Zohoungbogbo Herbaud , Quenum Adonis , Honfoga Judith , Chen Jaw-Rong , Achigan-Dako Enoch , Kenyon Lawrence , Hanson Peter
Published: July 2021

Finding sources of resistance to bacterial wilt (BW) caused by Ralstonia solanacearum species complex is a crucial step toward the development of improved bacterial wilt-resistant tomato varieties. Here, we evaluated new sources of bacterial wilt-tolerant/resistant tomato lines and identified associated phylotype/sequevar of R. solanacearum strains in Benin. Eighteen F5 lines and five checks were evaluated in two hotspots: the experimental site of the World Vegetable Center, Cotonou Benin, and the Laboratory of Genetics, Biotechnology and Seed Science of the University of Abomey-Calavi. Experiments were laid out in a randomized complete block design with four replicates. Data were collected on bacterial wilt incidence, horticultural and fruit traits and yield components. Across the two experiments, the F5 lines showed no wilting, while the local variety ‘Tounvi’ used as susceptible check showed 57.64% wilting. The wilting was due to BW and was associated with sequevars I-14, I-18 and I-31 of phylotype I. AVTO1803, AVTO1955-6 and H7996 were the highest yielding lines with 20.29 t·ha−1, 17.66 t·ha−1 and 17.07 t/ha, respectively. The sources of resistance to BW can be recommended to national agricultural system for dissemination or used in tomato breeding programs.
A Mystic Weed, Parthenium hysterophorus: Threats, Potentials and Management
Authors: Bashar H. M. Khairul , Juraimi Abdul Shukor , Ahmad-Hamdani Muhammad Saiful , Uddin Md Kamal , Asib Norhayu , Anwar Md. Parvez , Rahaman Ferdoushi
Published: July 2021

Parthenium hysterophorus is an invasive weed species that competes aggressively with other plants and is also allelopathic. It poses a significant risk to human health, livestock, the environment, soil, and agriculture. However, given some clinical studies, its potential for antidiabetic, antioxidant, antitumor, herbicidal, pesticidal, and antimalarial therapies should be researched further in attempts to discover more relevant applications. It can be used as a nutrient-dense, readily available, and cheap fertilizer. Parthenium can also be used as an herbicide, an insecticide, and a phyto-remedial mediator to extract metals and dyes from agricultural waste. Here we provide basic information on the morphology, reproduction, environmental impacts, and management of this species. Effects of methanol, ethanol, hexane, acetone, and aqueous (water) Parthenium extracts are described. Because P. hysterophorus is said to be one of the world’s seven worst weeds, some control measures, including mechanical, chemical, cultural, and biological control, are discussed. The allelopathy of this weed is difficult to regulate, and there are both positive and negative interactions between Parthenium and other species due to allelochemical action. Several toxic phenolic compounds produced by P. hysterophorus are responsible for weed suppression, and we discuss details of their mode of action and potential applications.
Virus-Induced Gene Silencing of SlWRKY79 Attenuates Salt Tolerance in Tomato Plants
Authors: He Yuqing , Zhang Xiaochun , Tan Yinxiao , Si Deli , Zhao Tingting , Xu Xiangyang , Jiang Jingbin , Yang Huanhuan , Li Jingfu
Published: July 2021

Previous studies have shown that WRKY transcription factors play important roles in abiotic stress responses. Thus, virus-induced gene silencing (VIGS) was used to identify the function of SlWRKY79 in the salt tolerance of tomato plants by downregulating the expression of the SlWRKY79 gene. Under the same salt treatment conditions, the SlWRKY79-silenced plants showed faster stem wilting and more severe leaf shrinkage than the control plants, and the bending degree of the stem of the SlWRKY79-silenced plants was also greater than that of the control plants. Physiological analyses showed that considerably higher levels of hydrogen peroxide (H2O2), superoxide anion (O2−), and abscisic acid (ABA) accumulated in the leaves of the SlWRKY79-silenced plants than in those of the controls after salt treatment. Taken together, our results suggested that SlWRKY79 plays a positive regulatory role in salt tolerance in tomato plants.
Multiple Antimicrobial Resistance in Methicillin-Resistant Staphylococcus sciuri Group Isolates from Wild Ungulates in Spain
Authors: Rey Pérez Joaquín , Zálama Rosa Laura , García Sánchez Alfredo , Hermoso de Mendoza Salcedo Javier , Alonso Rodríguez Juan Manuel , Cerrato Horrillo Rosario , Zurita Sofía Gabriela , Gil Molino María
Published: July 2021

The aim of this study was to investigate the presence of methicillin-resistant Staphylococcus (MRS) strains in non-managed wild ungulates present in a typical Mediterranean forest in Spain. For this purpose, nasal swabs were obtained from 139 animals: 90 wild boar (Sus scrofa), 42 red deer (Cervus elaphus) and 7 fallow deer (Dama dama), which were subsequently pre-enriched in BHI+ NaCl (6.5%) (24 h/37 °C), and then seeded in Columbia blood agar (24 h/37 °C)). The presence of the mecA gene was investigated by PCR, first from the confluent and then from individual colonies. A total of 10 mecA+ colonies were obtained of which only seven showed phenotypic resistance to oxacillin/cefoxitin (methicillin resistance). All MRS strains belonged to the Staphylococcus sciuri group. Methicillin-resistant Staphylococcus aureus (MRSA) was not detected. In addition, a significant number of MRS strains showed resistance to other antimicrobials, mainly β-lactam (7/7), gentamicin (7/7), fusidic acid (6/7) and quinupristin-dalfopristin (6/7), showing an irregular correlation with their coding genes. The genetic profiles grouped the seven strains obtained according to the bacterial species but not in relation to the animal source or the geographical place of origin. The presence of SCCmec type III, common to animals and humans, has been detected in three of the strains obtained. In conclusion, the study reveals that the wild ungulates investigated play a role as potential reservoirs of multi-resistant strains of MRS. Such strains, due to their characteristics, can be easily transferred to other wild or domestic animal species and ultimately to humans through their products.
Insights into the Antioxidant Mechanism of Newly Synthesized Benzoxazinic Nitrones: In Vitro and In Silico Studies with DPPH Model Radical
Authors: Marano Stefania , Minnelli Cristina , Ripani Lorenzo , Marcaccio Massimo , Laudadio Emiliano , Mobbili Giovanna , Amici Adolfo , Armeni Tatiana , Stipa Pierluigi
Published: July 2021

Synthetic nitrone spin-traps are being explored as therapeutic agents for the treatment of a wide range of oxidative stress-related pathologies, including but not limited to stroke, cancer, cardiovascular, and neurodegenerative diseases. In this context, increasing efforts are currently being made to the design and synthesis of new nitrone-based compounds with enhanced efficacy. The most researched nitrones are surely the ones related to α-phenyl-tert-butylnitrone (PBN) and 5,5-dimethyl-1-pyrroline N-oxide (DMPO) derivatives, which have shown to possess potent biological activity in many experimental animal models. However, more recently, nitrones with a benzoxazinic structure (3-aryl-2H-benzo[1,4]oxazin-N-oxides) have been demonstrated to have superior antioxidant activity compared to PBN. In this study, two new benzoxazinic nitrones bearing an electron-withdrawing methoxycarbonyl group on the benzo moiety (in para and meta positions respect to the nitronyl function) were synthesized. Their in vitro antioxidant activity was evaluated by two cellular-based assays (inhibition of AAPH-induced human erythrocyte hemolysis and cell death in human retinal pigmented epithelium (ARPE-19) cells) and a chemical approach by means of the α,α-diphenyl-β-picrylhydrazyl (DPPH) scavenging assay, using both electron paramagnetic resonance (EPR) spectroscopy and UV spectrophotometry. A computational approach was also used to investigate their potential primary mechanism of antioxidant action, as well as to rationalize the effect of functionalization on the nitrones reactivity toward DPPH, chosen as model radical in this study. Further insights were also gathered by exploring the nitrone electrochemical properties via cyclic voltammetry and by studying their kinetic behavior by means of EPR spectroscopy. Results showed that the introduction of an electron-withdrawing group in the phenyl moiety in the para position significantly increased the antioxidant capacity of benzoxazinic nitrones both in cell and cell-free systems. From the mechanistic point of view, the calculated results closely matched the experimental findings, strongly suggesting that the H-atom transfer (HAT) is likely to be the primary mechanism in the DPPH quenching.
Low-Carbon Economic Bi-Level Optimal Dispatching of an Integrated Power and Natural Gas Energy System Considering Carbon Trading
Authors: Li Hong , Ye Yazhong , Lin Lanxin
Published: July 2021

The integrated power and natural gas energy system (IPGES) is of great significance to promote the coordination and complementarity of multi-energy flow, and it is an important carrier to increase the proportion of wind power accommodation and achieve the goal of carbon emission reduction. In this paper, firstly, the reward and punishment ladder-type carbon trading model is constructed, and the impact of the carbon trading mechanisms on the carbon emission sources in the power system is comparatively analyzed. Secondly, in order to achieve a reasonable allocation of carbon resources in IPGES, a bi-level optimization model is established while taking into account the economics of dispatching and the requirements of carbon emission reduction. Among them, the outer layer is the optimal carbon price solution model considering carbon trading; in the inner layer, considering the power system constraints, natural gas system constraints, and coupling element operation constraints, a stochastic optimal dispatching model of IPGES based on scenario analysis is established. Scenario generation and reduction methods are used to deal with the uncertainty of wind power, and the inner model is processed as a mixed integer linear programming problem. In the MATLAB environment, program the dichotomy and call the Gurobi optimization solver to complete the interactive solution of the inner and outer models. Finally, case studies that use an integrated IEEE 39-bus power system and Belgian 20-node gas system demonstrate the effectiveness and scalability of the proposed model and optimization method.
Transcriptome Analysis Identified Candidate Genes Involved in Fruit Body Development under Blue Light in Lentinula edodes
Authors: Kim Dae Yeon , Jang Myoung-Jun , Park Youn-Jin , Kim Jae Yoon
Published: July 2021

Lentinula edodes is an edible mushroom that is rich in polysaccharides, glucan, and lentinan. It is famous for its earthy, sweet, umami flavor, and is used in various foods all over the world. Although Lentinula edodes does not carry out photosynthesis with light, its fruit body development is regulated by light. In this study, we analyzed the morphological changes of L. edodes strain Sanjo701ho and identified the global gene expression patterns using EdgeR of fruit body development under blue light. The phenotype analysis under different light sources revealed that the pileus diameter grew, while the stipe length was suppressed under blue light. To understand the changes in the transcriptome under different light sources in L. edodes, gene set enrichment analysis (GSEA), KOG functional categories, and KEGG pathways were used and compared to the no-light condition. Lignocellulose, CAZyme, and transcription factor classified DEGs (differentially expressed genes) were identified to better understand the significant DEGs affected by light sources in the synthesis, metabolism, and recognition of complex carbohydrates. Six glycoside hydrolases (GHs), four auxiliary activities (AAs), three carbohydrate esterases (CEs), and glycosyltransferases (GTs) were identified as upregulated in the CAZyme DEGs. Furthermore, four β-glucosidase, one glucose oxidase, and one multicopper oxidase-related gene for lignocellulolytic genes were upregulated in the blue light condition, and AT_hook transcription factor, CBFD_NFYB_HMF transcription factor, HMG_box transcription factor, and fungal specific transcription factor were upregulated in the blue light condition. This study helps us understand fruit body development in mushroom-breeding programs.
Improved Directivity of Flat Panel Loudspeakers by Minimizing the Off-Axis Radiation below Coincidence
Authors: Zenker Benjamin , Schurmann Robert , Merchel Sebastian , Altinsoy Ercan Mehmet
Published: July 2021

Flat panel loudspeakers are a promising alternative to conventional loudspeakers. In particular, quasi-omnidirectional radiation at higher frequencies is stressed as an advantage of these systems compared to conventional speaker systems. However, this advantage can also be considered a disadvantage. Compared to that from conventional speakers with a flat and smooth on-axis and off-axis response, this wide radiation from flat panel loudspeakers occurs with an inconstant directivity factor, which can cause coloration and unusual spatial artifacts. This paper investigated the root causes of inhomogeneous directivity by using numerical methods. Based on these analyses, specific prototypes with various damping layups were built to overcome this problem. The additional damping layer reduces the off-axis radiation without significantly reducing the pressure level in the listening window. This approach is simple, robust, inexpensive and effective for improving the directivity of flat panel loudspeakers.
Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning
Authors: Son Chang-Hwan
Published: July 2021

Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model require residual layers with a small output range for fast convergence and visual quality improvement. However, in inverse halftoning, homogenous dot patterns hinder a small output range from the residual layers. Therefore, a new layer decomposition network based on the Gaussian convolution model (GCM) and a structure-aware deblurring strategy is presented to achieve residual learning for both the base and detail layers. For the base layer, a new GCM-based residual subnetwork is presented. The GCM utilizes a statistical distribution, in which the image difference between a blurred continuous-tone image and a blurred halftoned image with a Gaussian filter can result in a narrow output range. Subsequently, the GCM-based residual subnetwork uses a Gaussian-filtered halftoned image as the input, and outputs the image difference as a residual, thereby generating the base layer, i.e., the Gaussian-blurred continuous-tone image. For the detail layer, a new structure-aware residual deblurring subnetwork (SARDS) is presented. To remove the Gaussian blurring of the base layer, the SARDS uses the predicted base layer as the input, and outputs the deblurred version. To more effectively restore image structures such as lines and text, a new image structure map predictor is incorporated into the deblurring network to induce structure-adaptive learning. This paper provides a method to realize the residual learning of both the base and detail layers based on the GCM and SARDS. In addition, it is verified that the proposed method surpasses state-of-the-art methods based on U-Net, direct deblurring networks, and progressively residual networks.
Fast 10-Point DFT Algorithm for Power System Harmonic Analysis
Authors: Paplinski Janusz P. , Cariow Aleksandr
Published: July 2021

This article presents an efficient algorithm for computing a 10-point DFT. The proposed algorithm reduces the number of multiplications at the cost of a slight increase in the number of additions in comparison with the known algorithms. Using a 10-point DFT for harmonic power system analysis can improve accuracy and reduce errors caused by spectral leakage. This paper compares the computational complexity for an L×10M-point DFT with a 2M-point DFT.
Electropolishing—A Practical Method for Accessing Voids in Metal Films for Analyses
Authors: Moser Sebastian , Kleinbichler Manuel , Kubicek Sabine , Zechner Johannes , Cordill Megan J.
Published: July 2021

In many applications, voids in metals are observed as early degradation features caused by fatigue. In this publication, electropolishing is presented in the context of a novel sample preparation method that is capable of accessing voids in the interior of metal thin films along their lateral direction by material removal. When performed at optimized process parameters, material removal can be well controlled and the surface becomes smooth at the micro scale, resulting in the voids being well distinguishable from the background in scanning electron microscopy images. Compared to conventional cross-sectional sample preparation (embedded mechanical cross-section or focused ion beam), the accessed surface is not constrained by the thickness of the investigated film and laterally resolved void analyses are possible. For demonstrational purposes of this method, the distribution of degradation voids along the metallization of thermo-mechanically stressed microelectronic chips has been quantified.
Empirical Evaluation of Privacy Efficiency in Blockchain Networks: Review and Open Challenges
Authors: Junejo Aisha Zahid , Hashmani Manzoor Ahmed , Memon Mehak Maqbool
Published: July 2021

With the widespread of blockchain technology, preserving the anonymity and confidentiality of transactions have become crucial. An enormous portion of blockchain research is dedicated to the design and development of privacy protocols but not much has been achieved for proper assessment of these solutions. To mitigate the gap, we have first comprehensively classified the existing solutions based on blockchain fundamental building blocks (i.e., smart contracts, cryptography, and hashing). Next, we investigated the evaluation criteria used for validating these techniques. The findings depict that the majority of privacy solutions are validated based on computing resources i.e., memory, time, storage, throughput, etc., only, which is not sufficient. Hence, we have additionally identified and presented various other factors that strengthen or weaken blockchain privacy. Based on those factors, we have formulated an evaluation framework to analyze the efficiency of blockchain privacy solutions. Further, we have introduced a concept of privacy precision that is a quantifiable measure to empirically assess privacy efficiency in blockchains. The calculation of privacy precision will be based on the effectiveness and strength of various privacy protecting attributes of a solution and the associated risks. Finally, we conclude the paper with some open research challenges and future directions. Our study can serve as a benchmark for empirical assessment of blockchain privacy.
Microwave Planar Resonant Solutions for Glucose Concentration Sensing: A Systematic Review
Authors: Juan Carlos G. , Potelon Benjamin , Quendo Cédric , Bronchalo Enrique
Published: July 2021

The measurement of glucose concentration finds interesting potential applications in both industry and biomedical contexts. Among the proposed solutions, the use of microwave planar resonant sensors has led to remarkable scientific activity during the last years. These sensors rely on the changes in the dielectric properties of the medium due to variations in the glucose concentration. These devices show electrical responses dependent on the surrounding dielectric properties, and therefore the changes in their response can be related to variations in the glucose content. This work shows an up-to-date review of this sensing approach after more than one decade of research and development. The attempts involved are sorted by the sensing parameter, and the computation of a common relative sensitivity to glucose is proposed as general comparison tool. The manuscript also discusses the key points of each sensor category and the possible future lines and challenges of the sensing approach.
IGF1R as a Potential Pharmacological Target in Allergic Asthma
Authors: Alfaro-Arnedo Elvira , López Icíar , Piñeiro-Hermida Sergio , Ucero Álvaro , González-Barcala Francisco , Salgado Francisco , Pichel José
Published: July 2021

Background: Asthma is a chronic lung disease characterized by reversible airflow obstruction, airway hyperresponsiveness (AHR), mucus overproduction and inflammation. Although Insulin-like growth factor 1 receptor (IGF1R) was found to be involved in asthma, its pharmacological inhibition has not previously been investigated in this pathology. We aimed to determine if therapeutic targeting of IGF1R ameliorates allergic airway inflammation in a murine model of asthma. Methods: C57BL/6J mice were challenged by house dust mite (HDM) extract or PBS for four weeks and therapeutically treated with the IGF1R tyrosine kinase inhibitor (TKI) NVP-ADW742 (NVP) once allergic phenotype was established. Results: Lungs of HDM-challenged mice exhibited a significant increase in phospho-IGF1R levels, incremented AHR, airway remodeling, eosinophilia and allergic inflammation, as well as altered pulmonary surfactant expression, all of being these parameters counteracted by NVP treatment. HDM-challenged lungs also displayed augmented expression of the IGF1R signaling mediator p-ERK1/2, which was greatly reduced upon treatment with NVP. Conclusions: Our results demonstrate that IGF1R could be considered a potential pharmacological target in murine HDM-induced asthma and a candidate biomarker in allergic asthma.