bluuebunny/crossref_metadata_2025 huggingface dataset:
AutoRadiomics: A Framework for Reproducible Radiomics Research
Authors: Woznicki Piotr , Laqua Fabian , Bley Thorsten , Baeßler Bettina
Published: July 2022

Purpose

Machine learning based on radiomics features has seen huge success in a variety of clinical applications. However, the need for standardization and reproducibility has been increasingly recognized as a necessary step for future clinical translation. We developed a novel, intuitive open-source framework to facilitate all data analysis steps of a radiomics workflow in an easy and reproducible manner and evaluated it by reproducing classification results in eight available open-source datasets from different clinical entities.

Methods

The framework performs image preprocessing, feature extraction, feature selection, modeling, and model evaluation, and can automatically choose the optimal parameters for a given task. All analysis steps can be reproduced with a web application, which offers an interactive user interface and does not require programming skills. We evaluated our method in seven different clinical applications using eight public datasets: six datasets from the recently published WORC database, and two prostate MRI datasets—Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy (Prostate-UCLA) and PROSTATEx.

Results

In the analyzed datasets, AutoRadiomics successfully created and optimized models using radiomics features. For WORC datasets, we achieved AUCs ranging from 0.56 for lung melanoma metastases detection to 0.93 for liposarcoma detection and thereby managed to replicate the previously reported results. No significant overfitting between training and test sets was observed. For the prostate cancer detection task, results were better in the PROSTATEx dataset (AUC = 0.73 for prostate and 0.72 for lesion mask) than in the Prostate-UCLA dataset (AUC 0.61 for prostate and 0.65 for lesion mask), with external validation results varying from AUC = 0.51 to AUC = 0.77.

Conclusion

AutoRadiomics is a robust tool for radiomic studies, which can be used as a comprehensive solution, one of the analysis steps, or an exploratory tool. Its wide applicability was confirmed by the results obtained in the diverse analyzed datasets. The framework, as well as code for this analysis, are publicly available under https://github.com/pwoznicki/AutoRadiomics.
An Air Quality Monitoring and Forecasting System for Lima City With Low-Cost Sensors and Artificial Intelligence Models
Authors: Montalvo Lourdes , Fosca David , Paredes Diego , Abarca Monica , Saito Carlos , Villanueva Edwin
Published: July 2022

Monitoring air quality is very important in urban areas to alert the citizens about the risks posed by the air they breathe. However, implementing conventional monitoring networks may be unfeasible in developing countries due to its high costs. In addition, it is important for the citizen to have current and future air information in the place where he is, to avoid overexposure. In the present work, we describe a low-cost solution deployed in Lima city that is composed of low-cost IoT stations, Artificial Intelligence models, and a web application that can deliver predicted air quality information in a graphical way (pollution maps). In a series of experiments, we assessed the quality of the temporal and spatial prediction. The error levels were satisfactory when compared to reference methods. Our proposal is a cost-effective solution that can help identify high-risk areas of exposure to airborne pollutants and can be replicated in places where there are no resources to implement reference networks.
Education in a warming world: Trends, opportunities and pitfalls for institutes of higher education
Authors: Kelly Orla , Illingworth Sam , Butera Fabrizio , Dawson Vaille , White Peta , Blaise Mindy , Martens Pim , Schuitema Geertje , Huynen Maud , Bailey Susan , Cowman Sian
Published: July 2022

Higher education institutes (HEI) face considerable challenges in navigating how to respond to the escalating and intertwined socio-ecological sustainability crises. Many dedicated individuals working in the sector are already driving meaningful action through rigorous research, teaching, knowledge sharing, and public engagement, while there is a growing consensus that sector-wide change is needed to ensure that aspirational declarations and positive individual actions translate into sustainable and transformative change. This article seeks to contribute to such efforts by illustrating a number of trends, examples, and reflections on how third-level educational institutes can act sustainably. We highlight the potential of five strategies HEI could employ to support the creation of a more sustainable future namely, (i) innovative approaches to climate change education; (ii) research agendas for societal transformations; (iii) providing climate change education for professional development; (iv) supporting public intellectuals; and (iv) investing in whole-systems approaches to greening the campus. The insights are the product of an interdisciplinary working group with members from across Europe, Australia, and the UK. These international examples provide insight and a sense of possibility for future application.
Virtual Joint Companies as a Means of Incentivizing SMEs to Use Occupational Health Services—A Trial in Two Municipalities in Finland From 2009 to 2011
Authors: Ahonen Guy , Näsman Ove , Aboagye Emmanuel
Published: July 2022

Employees of Small and Medium-sized Enterprises (SMEs) can benefit from occupational health services (OHS) in the same way that employees of large organizations do. The aim of this 3-year trial was to investigate whether integrating multiple SMEs into virtual joint companies may result in incentive structures like those of large companies concerning access to Occupational Health Services (OHS), which can improve wellbeing and reduce the number of sickness visits to clinics. Several SMEs were grouped together to form virtual organizations to enter into agreements with OHS providers. Two groups were created, each with a somewhat different price structure: one with a fixed annual fee and the other with a cost-dependent fee. The number of sickness visits to clinics increased among those who worked under the cost-dependent fee system, whereas it decreased among those who worked under the fixed-fee system. The findings on the work climate were inconclusive because there was no discernible difference. The improved productive time was particularly appealing to SME businesses, since employees could rapidly schedule sickness visit and they were able to spend less time dealing with sickness-related paperwork. It also raised their awareness of their employees' health. When OHS providers could address SMEs as a group, their desire to collaborate with them improved. Furthermore, the local entrepreneur organizations, which served as the virtual headquarters for the SME groups, stated that they would be willing to continue with the work for a rather moderate compensation. The ability of SMEs to create legal organizations in the form of virtual joint companies appears to address, at least partially, the issues related with the conflict between their small sizes and Occupational Safety and Health (OSH) incentive systems to address work accidents and disease incidences. Using the proposed approach would allow for differential fee systems, as well as economic incentive systems, which presently apply predominantly to large firms, might be extended to SMEs.
Food Waste-Derived Biomaterials Enriched by Biostimulant Agents for Sustainable Horticultural Practices: A Possible Circular Solution
Authors: Mapelli Francesca , Carullo Daniele , Farris Stefano , Ferrante Antonio , Bacenetti Jacopo , Ventura Vera , Frisio Dario , Borin Sara
Published: July 2022

The horticultural industry claims the substitution of plastic plantlet containers, which derive from oil-based raw materials and cannot be recycled, with bio-based ones, aiming to decrease waste management costs and increase the overall production sustainability. Bio-based fully biodegradable nursery pots can be directly placed in soil, thus decreasing the plantlet transplant stress and labor, and avoiding waste generation. The development of biomaterials specifically obtained from food-derived wastes like fruit and vegetables will add further advantages by an improved use of resources, the production of added-value materials and the replenishment of food losses, in a perfect circular economy approach. A multidisciplinary strategy combining material science, microbiology, agronomy and economy will, moreover, allow the development of functionalized food-waste derived materials, enriched in biostimulant extracts, alive plant-growth promoting microorganisms and thermal buffering molecules, obtaining biodegradable and biofertilising plant multiplication plugs with the potential to increase the sustainability of the overall agri-food production chain.
Private Governance of Biodiversity and Ecosystem Services: Findings From Nordic Forest Companies
Authors: D'Amato Dalia , Matthies Brent Davis , Hahn Thomas , Toppinen Anne
Published: July 2022

This study examines the role of business organizations in co-governing biodiversity and ecosystem services (BES) using a phenomenon-based approach and bridging business management literature, ecosystem services literature and environmental governance literature. The empirical analysis includes twelve Nordic forest corporations considered market leaders in Finland, Sweden and Norway. Using content analysis of corporate sustainability reports and managerial interviews, we recorded 127 company-led measures addressing BES and we categorized them into seventeen types (e.g., land use planning and restoration, mobilization of financial resources for conservation, partner auditing, capacity building and consultation with stakeholders). For each BES measure, we also identified the BES issues being addressed (e.g., climate regulation, soil maintenance, cultural values); company motivation (i.e., compliance, strategic, profit-seeking); the stakeholders/beneficiaries involved (e.g., employees, forest owners, experts, local communities, public administration, NGOs); and the private governance instruments used for implementing the measure (i.e., regulatory, economic, information and rights-based instruments). The findings suggest that practices such as monetary valuation, biodiversity offsets and green bonds are emerging as profitable or strategically interesting options for Nordic forest companies. However, well-established practices, such as forest inventory, partner auditing and land sparing, continue to be the backbone of private BES governance among the leading companies examined. Although not directly motivated by compliance, private governance measures are largely nested in legislation. The contribution of this study includes reflections of relevance for both the scholarly and managerial realms. From a scholarly perspective, we further elaborate an understanding of BES management and governance from an organizational perspective. From a managerial perspective, we provide and discuss an overview of potential measures that forest companies can implement to address biodiversity and other socio-ecological issues at the land-use level.
Future Orientation Among Children Affected by Parental HIV in China: An Exploratory Analysis of Complex Interactions
Authors: McDaniel Heather L. , Harrison Sayward E. , Fairchild Amanda J. , Li Xiaoming
Published: July 2022

We utilized an exploratory analytic approach to examine predictors of children's future beliefs, an internal asset associated with resilience among children affected by HIV, with emphasis on complex interactions among multisystem factors. Children (N= 1221) affected by parental HIV in China reported on psychosocial functioning, as well as internal, familial, and community resilience assets. Exploratory data analysis was conducted using a binary segmentation program. Six binary splits on predictors accounted for 22.78% of the variance in future expectation, suggesting interactions between children's perceived control of their future, loneliness, caregiver trust, and social support. Four binary splits accounted for 23.15% of the variance in future orientation, suggesting multiway interactions between control of the future, loneliness, social support, and perceived stigma. Findings suggest combinations of resilience factors are associated with children's positive future beliefs. Implications for screening, prevention, and intervention among Chinese children affected by parental HIV are discussed.
Soils and Human Health: Connections Between Geo-Environmental, Socio-Demographic, and Lifestyle factors and Nutrition of Tribal Women of Jharkhand, India
Authors: Rekik Fatma , van Es Harold M.
Published: July 2022

A holistic view on possible determinants of human health within a poor subsistence farming community is important to addressing pressing issues surrounding hidden hunger. This survey study assesses the mineral nutrition of women in rural tribal communities of Jharkhand, India, and its possible connection with the mineral status of the soils and the staple crop rice. Associations were explored with inherent and dynamic life features namely geography; socio-demographics; and agronomic, processing and cooking practices. A total of 43 soil and rice and 35 human hair samples were collected from 43 rice fields and their associated households. All samples were analyzed for micronutrients and toxic elements, which included As, B, Ba, Cd, Cr, Cu, Fe, Mn, Mo, Ni, Pb, Se, Sr, V and Zn. Soil samples were additionally analyzed for biological and physical indicators. Kruskal-Wallis ANOVA tests and regularized regressions methods (ridge and lasso) were performed on qualitative parameters with respect to the soil, rice and hair mineral content. For soil data, associations existed between (i) livestock management and Mo and Cd levels in the soil, and (ii) most soil micronutrients and toxic elements with districts and soil textural groups. For rice, Fe concentrations differed among variety types (traditional> hybrid> improved), Cu between landscape positions (midland > lowland), Mn, Ba and Pb among soil textural classes, and Cr, Ba and Pb among districts. In hair, Cd significantly differed between cooking water sources (well water > other), Mn between rice cooking methods (absorption > boil and drain), and Fe, Cr and Ba between the hair-dyed groups. Linear regressions with quantitative variables such as age, household size, number of years farming, fertilization duration (as proxy for land size ownership) and hair sampling length (cm) showed that only hair Ni and Cr were significantly affected by land size ownership, and that the latter mineral is also affected by hair sampling length. The regularized regressions revealed many interlinkages between soil and humans through the rice crop intermediate, as well as between socio-demographics and human health, albeit complex and indirect. To this end, associations were in many cases uninterpretable, yet, they present insight into the confounding factors and possible challenges in the assessment of soil-to-human mineral interlinkages. Future studies are advised to account for these to pinpoint direct and causational relationships in the soil-to-human pathway.
Effects of 15-Year-Old Plantation on Soil Conditions, Spontaneous Vegetation, and the Trace Metal Content in Wood Products at Kipushi Tailings Dam
Authors: Mwanasomwe Jacques Kilela , Langunu Serge , Shutcha Mylor Ngoy , Colinet Gilles
Published: July 2022

Phytostabilization is a more appropriate way for rehabilitation of metal-polluted environments in the Copperbelt region. A 1.5-hectare tree planting trial had been installed on the tailings dam (TD) with the help of organic matter (OM) mixed to topsoil. Then, 15 years later, this study aimed to evaluate the performance of the tree plantation, in regard to soils and spontaneous vegetation. The Cu and Co concentration was higher in the reclaimed soil compared with the unreclaimed. Acacia auriculiformis, Acacia polyacantha, Albizia lebbeck, Pinus sylvestris, Psidium guajava, Senna siamea, Senna spectabilis, and Syzygium guineense responded well to the criteria of phytostabilization, whereas Leucaena leucocephala was very invasive. Metal concentration was manifold higher in charcoals than in woods (Zn: 3.8–39.8 mg kg−1 in wood versus 272–523 mg kg−1 in charcoal) with no differences between charcoals regardless of the origin. The tree implantation aided with amendments can meet the criteria of phytostabilization through good survival and regeneration in the heavily contaminated TD.
Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan
Authors: Sun Tianrui , Hu Lei , Zhang Songbo , Li Xiaoyan , Meng Kelai , Wu Xuefeng , Wang Lifan , Castro-Tirado A. J.
Published: July 2022

AST3-3 is the third robotic facility of the Antarctic Survey Telescopes (AST3) for transient surveys to be deployed at Dome A, Antarctica. Due to the current pandemic, the telescope has been currently deployed at the Yaoan Observation Station in China, starting the commissioning observation and a transient survey. This article presented a fully automatic data processing system for AST3-3 observations. The transient detection pipeline uses state-of-the-art image subtraction techniques optimized for GPU devices. Image reduction and transient photometry are accelerated by concurrent task methods. Our Python-based system allows for transient detection from wide-field data in a real-time and accurate way. A ResNet-based rotational-invariant neural network was employed to classify the transient candidates. As a result, the system enables the auto-generation of transients and their light curves.
Identifying Farming Strategies Associated With Achieving Global Agricultural Sustainability
Authors: Smith Olivia M. , Jocson Dowen M. I. , Lee Benjamin W. , Orpet Robert J. , Taylor Joseph M. , Davis Alexandra G. , Rieser Cassandra J. , Clarke Abigail E. , Cohen Abigail L. , Hayes Abigail M. , Auth Connor A. , Bergeron Paul E. , Marshall Adrian T. , Reganold John P. , Crowder David W. , Northfield Tobin D.
Published: July 2022

Sustainable agroecosystems provide adequate food while supporting environmental and human wellbeing and are a key part of the United Nations Sustainable Development Goals (SDGs). Some strategies to promote sustainability include reducing inputs, substituting conventional crops with genetically modified (GM) alternatives, and using organic production. Here, we leveraged global databases covering 121 countries to determine which farming strategies—the amount of inputs per area (fertilizers, pesticides, and irrigation), GM crops, and percent agriculture in organic production—are most correlated with 12 sustainability metrics recognized by the United Nations Food and Agriculture Organization. Using quantile regression, we found that countries with higher Human Development Indices (HDI) (including education, income, and lifespan), higher-income equality, lower food insecurity, and higher cereal yields had the most organic production and inputs. However, input-intensive strategies were associated with greater agricultural greenhouse gas emissions. In contrast, countries with more GM crops were last on track to meeting the SDG of reduced inequalities. Using a longitudinal analysis spanning 2004–2018, we found that countries were generally decreasing inputs and increasing their share of agriculture in organic production. Also, in disentangling correlation vs. causation, we hypothesize that a country's development is more likely to drive changes in agricultural strategies than vice versa. Altogether, our correlative analyses suggest that countries with greater progress toward the SDGs of no poverty, zero hunger, good health and wellbeing, quality education, decent work, economic growth, and reduced inequalities had the highest production of organic agriculture and, to a lesser extent, intensive use of inputs.
Pomelo Green Production on Acidic Soil: Reduce Traditional Fertilizers, but Do Not Ignore Magnesium
Authors: Chen Xiaohui , Yan Xiaojun , Muneer Muhammad Atif , Weng Xuefan , Cai Yuanyang , Ma Changcheng , Liu You , Zhang Siwen , Zhang Weiqiang , Yang Wenhao , Wu Liangquan , Zhou Shungui , Zhang Fusuo
Published: July 2022

Orchards in acid soils are at risk of magnesium (Mg) deficiency which negatively affects the plant growth, yield, and quality. However, the impacts of Mg supplementation on fruit yield, quality, and environmental and economic benefits have only been rarely addressed. We conducted 15 pomelo (Citrus grandis L.) orchard trials in South China to assess more efficient integrated nutrient management (INM) practices, including local farmer fertilization practices (FP; average application rate of nitrogen, phosphorus, and potassium were 1,075 kg N ha−1, 826 kg P2O5 ha−1, and 948 kg K2O ha−1, respectively), optimum fertilization practice (OPT; average application rate of nitrogen, phosphorus, and potassium were 550 kg N ha−1, 295 kg P2O5 ha−1, and 498 kg K2O ha−1, respectively) and optimum fertilization supplemented with Mg (OPT+Mg; average application rate of Mg was 196 kg MgO ha−1). The results showed that the yield, total soluble solid-to-titratable acidity ratio, and economic benefits under OPT practice were not significantly different from those of FP, while those of OPT+Mg were significantly higher than those of FP, by 8.76, 8.79, and 15.00%, respectively, while titratable acidity contents were significantly lower by 7.35%. In addition, compared with those from FP, the energy inputs and greenhouse gas (GHG) emissions from OPT were 31.00 and 26.48% lower, and those from OPT+Mg were 26.71 and 23.40% lower, respectively. Compared with those of OPT, the marginal efficiency of energy, GHG emissions, and capital of Mg under OPT+Mg were reduced by 62.30, 44.19, and 21.07%, respectively. Overall, adopting OPT+Mg for pomelo production could further enhance yield, fruit quality, and economic benefits while reducing the environmental burdens.
Bovine Tuberculosis Antemortem Diagnostic Test Agreement and Disagreement in a Naturally Infected African Cattle Population
Authors: Kelly Robert F. , Gonzaléz Gordon Lina , Egbe Nkongho F. , Freeman Emily J. , Mazeri Stella , Ngwa Victor N. , Tanya Vincent , Sander Melissa , Ndip Lucy , Muwonge Adrian , Morgan Kenton L. , Handel Ian G. , Bronsvoort Barend M. de C.
Published: July 2022

The interferon-gamma (IFN-γ) assay and single comparative cervical skin test (SCITT) are used to estimate bovine tuberculosis (bTB) prevalence globally. Prevalence estimates of bTB, caused byMycobacterium bovis, are poorly quantified in many Sub-Saharan African (SSA) cattle populations. Furthermore, antemortem diagnostic performance can vary at different stages of bTB pathogenesis and in different cattle populations. In this study, we aim to explore the level of agreement and disagreement between the IFN-γ assay and SCITT test, along with the drivers for disagreement, in a naturally infected African cattle population. In, 2013, a pastoral cattle population was sampled using a stratified clustered cross-sectional study in Cameroon. A total of 100 pastoral cattle herds in the North West Region (NWR) and the Vina Division (VIN) were sampled totalling 1,448 cattle. Individual animal data and herd-level data were collected, and animals were screened using both the IFN-γ assay and SCITT. Serological ELISAs were used to detect exposure to immunosuppressing co-infections. Agreement analyses were used to compare the performance between the two bTB diagnostic tests, and multivariable mixed-effects logistic regression models (MLR) were developed to investigate the two forms of IFN-γ assay and SCITT binary disagreement. Best agreement using the Cohen's κ statistic, between the SCITT (>2 mm) and the IFN-γ assay implied a ‘fair-moderate' agreement for the NWR [κ = 0.42 (95%CI: 0.31–0.53)] and ‘poor-moderate' for the VIN [κ = 0.33 (95% CI: 0.18–0.47)]. The main test disagreement was the animals testing positive on the IFN-γ assay and negative by the SCITT. From MLR modeling, adults (adults OR: 7.57; older adults OR = 7.21), females (OR = 0.50), bovine leucosis (OR = 2.30), and paratuberculosis positivity (OR = 6.54) were associated with IFN-γ-positive/SCITT-negative disagreement. Subsets to investigate diagnostic test disagreement for being SCITT-positive and IFN-γ-negative also identified that adults (adults OR = 15.74; older adults OR = 9.18) were associated with IFN-γ-negative/SCITT-positive disagreement. We demonstrate that individual or combined use of the IFN-γ assay and SCITT can lead to a large variation in bTB prevalence estimates. Considering that animal level factors were associated with disagreement between the IFN-γ assay and SCITT in this study, future work should further investigate their impact on diagnostic test performance to develop the approaches to improve SSA prevalence estimates.
Rapid and Affordable High Throughput Screening of SARS-CoV-2 Variants Using Denaturing High-Performance Liquid Chromatography Analysis
Authors: Turba Maria Elena , Mion Domenico , Papadimitriou Stavros , Taddei Francesca , Dirani Giorgio , Sambri Vittorio , Gentilini Fabio
Published: July 2022

Mutations in the receptor binding domain (RBD) of SARS-CoV-2 alter the infectivity, pathogenicity, and transmissibility of new variants of concern (VOCs). In addition, those mutations cause immune escape, undermining the population immunity induced by ongoing mass vaccination programs. There is an urgent need for novel strategies and techniques aimed at the surveillance of the active emergence and spread of the VOCs. The aim of this study was to provide a quick, cheap and straightforward denaturing high-performance liquid chromatography (DHPLC) method for the prompt identification of the SARS-CoV-2 VOCs. Two PCRs were designed to target the RBD region, spanning residues N417 through N501 of the Spike protein. Furthermore, a DHPLC screening analysis was set up. The screening consisted of mixing the unknown sample with a standard sample of a known variant, denaturing at high temperature, renaturing at room temperature followed by a 2-minute run using the WAVE DHPLC system to detect the heteroduplexes which invariably form whenever the unknown sample has a nucleotide difference with respect to the standard used. The workflow was able to readily detect all the variants including B.1.1.7, P.1, B.1.585 B.1. 617.2 and lineages at a very affordable cost. The DHPLC analysis was robust being able to identify variants, even in the case of samples with very unbalanced target concentrations including those samples at the limit of detection. This approach has the potential of greatly expediting surveillance of the SARS-CoV-2 variants.
The Endogenous Metabolic Response of Tribolium castaneum under a High Concentration of CO2
Authors: Zhou Min , Zhang Xinyu , Pan Biying , Zhu Jiaqi , Qian Xiaoxiao , Li Xian , Xu Kangkang , Tang Bin , Li Can
Published: July 2022

High carbon dioxide concentrations can effectively control most storage pests. To estimate the toxicity effect of high concentrations of CO2, four different concentrations of CO2 (25% CO2, 50% CO2, 75% CO2, and 95% CO2) were used to treat Tribolium castaneum, and the biochemical (carbohydrate content and gene expression level) and physiological (mortality, pupation, eclosion rate, and weight) features of insects submitted to different treatments with CO2 were evaluated. The T. castaneum mortality rate was 50% in approximately 2 days when exposed to a treatment with 95% CO2. When the CO2 concentration exceeded 75%, the pupation rate and eclosion rate of T. castaneum seriously declined. Higher than 25% CO2 concentrations resulted in a lower weight and shrunken body size of T. castaneum. It was further found that different CO2 concentration treatments all influenced the levels of the three carbohydrate contents in T. castaneum. In addition, according to the detection of trehalose metabolism pathway-related genes, T. castaneum mainly responds to stress factors via high expression of TPS, TRE1-2, and TRE1-3. Our results enrich the evaluation of the toxicity effect of CO2 treatment on grain storage pests, providing a basis for further improving the method of regulating grain storage to control insect pests.
Effects of High Ambient Temperature on Small Intestinal Morphology and Colonic Microbiota in Weaned Piglets
Authors: Xing Shuaibing , Chen Shuai , Zhao Ying , Luo Yuheng , Yu Bing , He Jun , Huang Zhiqing , Zheng Ping , Mao Xiangbing , Luo Junqiu , Yan Hui , Yu Jie
Published: July 2022

A total of 16 crossbred (Duroc × Landrace × Yorkshire) barrows, with an average initial body weight of 8.61 ± 0.24 kg (28 days of age), were randomly allotted into the control group (CON group) and high ambient temperature group (HT group) with 8 replicates per group, 1 pig per replicate. The ambient temperature of the CON group was controlled at 26 ± 1 °C, and the HT group was controlled at 35 ± 1 °C. The study lasted for 21 days. Our results showed that high ambient temperature significantly decreased the average daily feed intake (ADFI) and average daily gain (ADG) of piglets (p < 0.05), and the feed-to-gain ratio was significantly increased (p < 0.05). The liver index, spleen index, and thymus index of piglets in the HT group were significantly decreased (p < 0.05). The villous height (VH) of the duodenum, jejunum, and ileum of piglets in the HT group was significantly decreased (p < 0.05), whereas the crypt depth (CD) of the duodenum was significantly increased (p < 0.05), and the VH-to-CD ratio of the duodenum and ileum was significantly decreased (p < 0.05). The piglets in the HT group showed a higher (p < 0.05) observed-species index, PD whole tree index, and Shannon index, indicating that there was a significant difference in species richness and diversity between the two groups. At the genus level, the piglets in the HT group showed a greater (p < 0.05) percent of Desulfovibrio, Occillibater, and Catenisphaera. HT reduced glycan biosynthesis and metabolism, transport and catabolism, lipid metabolism, amino acids metabolism, secondary metabolites biosynthesis, aging, endocrine system, signaling molecules, and interaction of colon microbiota (p < 0.05), and increased signal transduction, cell motility, transcription, and genetic information processing (p < 0.05).
Behavior Classification and Analysis of Grazing Sheep on Pasture with Different Sward Surface Heights Using Machine Learning
Authors: Jin Zhongming , Guo Leifeng , Shu Hang , Qi Jingwei , Li Yongfeng , Xu Beibei , Zhang Wenju , Wang Kaiwen , Wang Wensheng
Published: July 2022

Behavior classification and recognition of sheep are useful for monitoring their health and productivity. The automatic behavior classification of sheep by using wearable devices based on IMU sensors is becoming more prevalent, but there is little consensus on data processing and classification methods. Most classification accuracy tests are conducted on extracted behavior segments, with only a few trained models applied to continuous behavior segments classification. The aim of this study was to evaluate the performance of multiple combinations of algorithms (extreme learning machine (ELM), AdaBoost, stacking), time windows (3, 5 and 11 s) and sensor data (three-axis accelerometer (T-acc), three-axis gyroscope (T-gyr), and T-acc and T-gyr) for grazing sheep behavior classification on continuous behavior segments. The optimal combination was a stacking model at the 3 s time window using T-acc and T-gyr data, which had an accuracy of 87.8% and a Kappa value of 0.836. It was applied to the behavior classification of three grazing sheep continuously for a total of 67.5 h on pasture with three different sward surface heights (SSH). The results revealed that the three sheep had the longest walking, grazing and resting times on the short, medium and tall SHH, respectively. These findings can be used to support grazing sheep management and the evaluation of production performance.
The Impact of Antimicrobial Stewardship and Infection Control Interventions on Acinetobacter baumannii Resistance Rates in the ICU of a Tertiary Care Center in Lebanon
Authors: Rizk Nesrine A. , Zahreddine Nada , Haddad Nisrine , Ahmadieh Rihab , Hannun Audra , Bou Harb Souad , Haddad Sara F. , Zeenny Rony M. , Kanj Souha S.
Published: July 2022

Antimicrobial resistance is a serious threat to global health, causing increased mortality and morbidity especially among critically ill patients. This toll is expected to rise following the COVID-19 pandemic. Carbapenem-resistant Acinetobacter baumannii (CRAb) is among the Gram-negative pathogens leading antimicrobial resistance globally; it is listed as a critical priority pathogen by the WHO and is implicated in hospital-acquired infections and outbreaks, particularly in critically ill patients. Recent reports from Lebanon describe increasing rates of infection with CRAb, hence the need to develop concerted interventions to control its spread. We set to describe the impact of combining antimicrobial stewardship and infection control measures on resistance rates and colonization pressure of CRAb in the intensive care units of a tertiary care center in Lebanon before the COVID-19 pandemic. The antimicrobial stewardship program introduced a carbapenem-sparing initiative in April 2019. During the same period, infection control interventions involved focused screening, monitoring, and tracking of CRAb, as well as compliance with specific measures. From January 2018 to January 2020, we report a statistically significant decrease in carbapenem consumption and a decrease in resistance rates of isolated A. baumannii. The colonization pressure of CRAb also decreased significantly, reaching record low levels at the end of the intervention period. The results indicate that a multidisciplinary approach and combined interventions between the stewardship and infection control teams can lead to a sustained reduction in resistance rates and CRAb spread in ICUs.
Physical Hazards in Aepyceros melampus Carcasses Killed for Meat Purposes by Aerial and Thoracic Shots
Authors: Nkosi Davies Veli , Bekker Johan Leon , Gower Luzyl Amely , Van der Watt Marie , Hoffman Louwrens Christiaan
Published: July 2022

Physical hazards, such as bullet particles and bone fragments, in wild meat could be introduced by processes applied whilst killing game meat animals. These hazards may pose a health risk to non-suspecting consumers and must therefore be identified, evaluated and removed from meat and meat products. The extent of dispersion of these hazards in carcasses has not been sufficiently investigated with respect to game meat safety. This study aims to describe and quantify the occurrence of these hazards in animals shot by aerial (helicopter) shotgun targeting the head and higher neck region (n = 12) and single-projectile/free-bullet rifle shots targeting the thorax region (n = 36) of impala killed for meat consumption. To quantify the occurrence, particle sizes and dispersion surface of bullet fragments and bone splinters in the forequarters, radiographs were taken from top to bottom (dorsal ventral) and from the side (lateral) in the sequence of the skull, neck and forequarters. A t-test (p < 0.05) was conducted to compare the association of averages from the killing methods with the occurrences of bullet fragments and bone splinters. Bullet particles and bone splinters of significant sizes were introduced by the killing methods adopted. The results show a high incidence of harmful bullet particle and bone splinter sizes from the rifle thorax shots (p = 0.005). The dispersion of both physical hazards could cover a wide distance of >332 mm between particles on hunted game meat animals. Game meat animal killing methods with a rifle targeting the chest cavity should be refined and implemented. These should include the selection of bullets less prone to fragmentation, and compliance with regulated game meat animal-killing protocols, including regulating the placement of shots to allow only head or high neck shots for game meat animals slaughtered/culled for human consumption.
Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation
Authors: Agnew Dennis , Aljohani Nader , Mathieu Reynold , Boamah Sharon , Nagaraj Keerthiraj , McNair Janise , Bretas Arturo
Published: July 2022

Communication networks in power systems are a major part of the smart grid paradigm. It enables and facilitates the automation of power grid operation as well as self-healing in contingencies. Such dependencies on communication networks, though, create a roam for cyber-threats. An adversary can launch an attack on the communication network, which in turn reflects on power grid operation. Attacks could be in the form of false data injection into system measurements, flooding the communication channels with unnecessary data, or intercepting messages. Using machine learning-based processing on data gathered from communication networks and the power grid is a promising solution for detecting cyber threats. In this paper, a co-simulation of cyber-security for cross-layer strategy is presented. The advantage of such a framework is the augmentation of valuable data that enhances the detection as well as identification of anomalies in the operation of the power grid. The framework is implemented on the IEEE 118-bus system. The system is constructed in Mininet to simulate a communication network and obtain data for analysis. A distributed three controller software-defined networking (SDN) framework is proposed that utilizes the Open Network Operating System (ONOS) cluster. According to the findings of our suggested architecture, it outperforms a single SDN controller framework by a factor of more than ten times the throughput. This provides for a higher flow of data throughout the network while decreasing congestion caused by a single controller’s processing restrictions. Furthermore, our CECD-AS approach outperforms state-of-the-art physics and machine learning-based techniques in terms of attack classification. The performance of the framework is investigated under various types of communication attacks.
Path-Following and Obstacle Avoidance Control of Nonholonomic Wheeled Mobile Robot Based on Deep Reinforcement Learning
Authors: Cheng Xiuquan , Zhang Shaobo , Cheng Sizhu , Xia Qinxiang , Zhang Junhao
Published: July 2022

In this paper, a novel path-following and obstacle avoidance control method is given for nonholonomic wheeled mobile robots (NWMRs), based on deep reinforcement learning. The model for path-following is investigated first, and then applied to the proposed reinforcement learning control strategy. The proposed control method can achieve path-following control through interacting with the environment of the set path. The path-following control method is mainly based on the design of the state and reward function in the training of the reinforcement learning. For extra obstacle avoidance problems in following, the state and reward function is redesigned by utilizing both distance and directional perspective aspects, and a minimum representative value is proposed to deal with the occurrence of multiple obstacles in the path-following environment. Through the reinforcement learning algorithm deep deterministic policy gradient (DDPG), the NWMR can gradually achieve the path it is required to follow and avoid the obstacles in simulation experiments, and the effectiveness of the proposed algorithm is verified.
Study of the Effect of Urban Densification and Micrometeorology on the Sustainability of a Coronavirus-Type Pandemic
Authors: Pacheco Patricio , Mera Eduardo
Published: July 2022

This research examines the persistence of a pandemic in urban environments subjected to intensive densification processes, applying chaotic analysis tools to hourly time series constructed by relating accumulated patients with meteorological and pollutant variables (measured at ground level). To investigate this objective, seven communes of the metropolitan region of Santiago de Chile that present intensive urbanization processes that affect urban micrometeorology, favoring the concentration of pollutants, were considered. Quotients were constructed between the number of hourly patients with SARS-CoV-2 that accumulated in each commune over a period of two years and the hourly variables of urban micrometeorology (temperature, magnitude of wind speed, relative humidity) and pollutant concentration (tropospheric ozone, particulate material of 2.5 and 10 μm) constituting a new family of time series. Chaos theory was applied to these new time series, obtaining the chaotic parameters Lyapunov coefficient, correlation entropy, Lempel–Ziv complexity, Hurst coefficient and the fractal dimension in each measurement commune. The results showed that the accumulated patients (2020–2022), of the order of 400,000, belonged to the five communes (with a built area of approximately 300,000 m2 in recent years) that had the highest urban densification, which affected urban meteorology, favored the concentration of pollutants and made the SARS-CoV-2 pandemic more persistent. The “ideal” density of built housing should balance a pandemic and nullify its expansion.
Tuning the Degradation Rate of Alginate-Based Bioinks for Bioprinting Functional Cartilage Tissue
Authors: Barceló Xavier , Eichholz Kian F. , Garcia Orquidea , Kelly Daniel J.
Published: July 2022

Negative foreign body responses following the in vivo implantation of bioprinted implants motivate the development of novel bioinks which can rapidly degrade with the formation of functional tissue, whilst still maintaining desired shapes post-printing. Here, we investigated the oxidation of alginate as a means to modify the degradation rate of alginate-based bioinks for cartilage tissue engineering applications. Raw and partially oxidized alginate (OA) were combined at different ratios (Alginate:OA at 100:0; 75:25; 50:50; 25:75; 0:100) to provide finer control over the rate of bioink degradation. These alginate blends were then combined with a temporary viscosity modifier (gelatin) to produce a range of degradable bioinks with rheological properties suitable for extrusion bioprinting. The rate of degradation was found to be highly dependent on the OA content of the bioink. Despite this high mass loss, the initially printed geometry was maintained throughout a 4 week in vitro culture period for all bioink blends except the 0:100 group. All bioink blends also supported robust chondrogenic differentiation of mesenchymal stem/stromal cells (MSCs), resulting in the development of a hyaline-like tissue that was rich in type II collagen and negative for calcific deposits. Such tuneable inks offer numerous benefits to the field of 3D bioprinting, from providing space in a controllable manner for new extracellular matrix deposition, to alleviating concerns associated with a foreign body response to printed material inks in vivo.
Cellular Mechanisms in Acute and Chronic Wounds after PDT Therapy: An Update
Authors: Grandi Vieri , Corsi Alessandro , Pimpinelli Nicola , Bacci Stefano
Published: July 2022

PDT is a two-stage treatment that combines light energy with a photosensitizer designed to destroy cancerous and precancerous cells after light activation. Photosensitizers are activated by a specific wavelength of light energy, usually from a laser. The photosensitizer is nontoxic until it is activated by light. However, after light activation, the photosensitizer becomes toxic to the targeted tissue. Among sensitizers, the topical use of ALA, a natural precursor of protoporphyrin IX, a precursor of the heme group, and a powerful photosensitizing agent, represents a turning point for PDT in the dermatological field, as it easily absorbable by the skin. Wound healing requires a complex interaction and coordination of different cells and molecules. Any alteration in these highly coordinated events can lead to either delayed or excessive healing. The goal of this review is to elucidate the cellular mechanisms involved, upon treatment with ALA-PDT, in chronic wounds, which are often associated with social isolation and high costs in terms of care.
An Integrated HBIM Framework for the Management of Heritage Buildings
Authors: Khan Muhammad , Khan Muhammad , Bughio Mushk , Talpur Bushra , Kim In , Seo Jongwon
Published: July 2022

Heritage buildings are subject to severe damage due to their exposure to dynamics such as environmental changes, earthquakes, structural loads, etc., thus needing a proper maintenance and management system. However, during the restoration, maintenance, and management process, heritage building practitioners face numerous challenges, such as inefficient project management, financial loss, and project delay. These problems arise due to a lack of digital documentation and updated information management systems. Heritage building management still uses traditional management techniques where heritage information is managed using multiple format systems by different professionals, thus missing collaboration, information integration, and interoperability. Building information modeling (BIM) is presented here as a supporting tool to address these issues. The aim of this study is to develop a novel HBIM framework to manage heritage buildings in an integrated and interoperable environment that supports 3D digital documentation to conserve a heritage building and facilitate restoration planning and facility management (FM) activities. Moreover, we demonstrate FM integration with BIM to promote this digital technique. The results indicate that the proposed framework is feasible and effective in providing information integration and communication between stakeholders in managing heritage buildings.
Mechanisms of Resistance and Implications for Treatment Strategies in Chronic Myeloid Leukaemia
Authors: Poudel Govinda , Tolland Molly G. , Hughes Timothy P. , Pagani Ilaria S.
Published: July 2022

Tyrosine kinase inhibitors (TKIs) have revolutionised the management of chronic myeloid leukaemia (CML), with the disease now having a five-year survival rate over 80%. The primary focus in the treatment of CML has been on improving the specificity and potency of TKIs to inhibit the activation of the BCR::ABL1 kinase and/or overcoming resistance driven by mutations in the BCR::ABL1 oncogene. However, this approach may be limited in a significant proportion of patients who develop TKI resistance despite the effective inhibition of BCR::ABL1. These patients may require novel therapeutic strategies that target both BCR::ABL1-dependent and BCR::ABL1-independent mechanisms of resistance. The combination treatment strategies that target alternative survival signalling, which may contribute towards BCR::ABL1-independent resistance, could be a successful strategy for eradicating residual leukaemic cells and consequently increasing the response rate in CML patients.