Authors: Aoxue Yu, Rui Ouyang, Shulian Wang, Bin Ji and Lu Cai
Abstract:
The ubiquitous presence of phenolic compounds in effluents poses a risk to
aquatic organisms and human health. This study investigates the responses of the emerging algal-bacterial granular sludge.....
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Authors: Aoxue Yu, Rui Ouyang, Shulian Wang, Bin Ji and Lu Cai
The ubiquitous presence of phenolic compounds in effluents poses a risk to
aquatic organisms and human health. This study investigates the responses of the emerging algal-bacterial granular sludge process in treating phenolic wastewater. The results
showed that phenol at 1, 10, and 100 mg/L had little effect on ammonia-N, chemical
oxygen demand (COD), and phosphate-P removal. At the highest phenol concentration of
100 mg/L, the average removal rates of ammonia-N, COD, and phosphate-P were 94.8%,
72.9%, and 83.7%, respectively. The presence of phenol led to a decline in chlorophyll
content of the algal-bacterial granular sludge, concurrently resulting in an increase in the
abundance of microbial diversity. Algal-bacterial granular sludge exhibited mechanisms
such as elevated extracellular polymeric substances (EPSs), superoxide dismutase (SOD),
and catalase (CAT) production, which may aid in coping with oxidative stress from phenols. This research underscores the algal-bacterial granular sludge’s potential for treating
phenolic wastewater, thereby advancing knowledge in the field of phenol degradation with
this innovative technology.
Authors: Nahin Shakurun, Tamara Hinz, Daniel A. Adeyinka and Nazeem Muhajarine
Abstract:
Background/Objectives: The COVID-19 pandemic created a growing need for
insights into the mental health of children and youth and their use of coping mechanisms
during this period. We assessed.....
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Authors: Nahin Shakurun, Tamara Hinz, Daniel A. Adeyinka and Nazeem Muhajarine
Background/Objectives: The COVID-19 pandemic created a growing need for
insights into the mental health of children and youth and their use of coping mechanisms
during this period. We assessed mood symptoms and related factors among children
and youth in Saskatchewan. We examined if coping abilities mediated the relationship
between risk factors and mood states. Methods: “See Us, Hear Us 2.0”, a cross-sectional
study of 563 child–parent dyads, provided the data. The dependent variable, current
mood state, was measured by the CoRonavIruS health Impact Survey (CRISIS) scale.
Independent variables included sociodemographics, behaviors, household conditions, and
coping ability. Multiple linear regression and mediation analyses were conducted, ensuring
sample representativeness with sampling weights and addressing missing data through
multiple imputations. Results: The participants reported mood symptoms (“moderate” to
“extreme”) ranging from 23% to 38% on the CRISIS scale. Factors such as older children,
hybrid learning, disrupted activities, and increased screen time worsened moods. The
ethnic minority groups (BIPOC) living in mid-sized cities/towns experienced more negative
moods compared to Whites residing in cities. Coping ability mediated the relationship
between extracurricular activities and mood states. Conclusions: Our results underscore the
importance of tailored interventions, recognizing the diverse needs of specific age groups,
gender identities, and ethnicities and addressing the adverse effects of the pandemicrelated disruptions on the mental health and well-being of school children in Saskatchewan.
Our study also suggests prioritizing the diverse needs of children and youth during the
planning and implementation of mental health services in the province.
Keywords: COVID-19; pandemic; post-COVID era; mood states; CRISIS scale; children
and youth
Authors: Berna Rahi, Farah Al Mashharawi, Hana Harb, Myriam El Khoury-Malhame and Lama Mattar
Abstract:
Background: Household food insecurity (HFI) is a serious public health concern
in Lebanon. Adverse mental health issues have been reported among food insecure households in addition to physical.....
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Authors: Berna Rahi, Farah Al Mashharawi, Hana Harb, Myriam El Khoury-Malhame and Lama Mattar
Background: Household food insecurity (HFI) is a serious public health concern
in Lebanon. Adverse mental health issues have been reported among food insecure households in addition to physical and nutritional complications. Caregivers in food insecure
families tend to adopt different coping mechanisms to mitigate the effects of food insecurity
(FI) on their children. Objective: This cross-sectional observational study aimed to explore the relationship between FI, maternal depression, child malnutrition, and differential
coping mechanisms adopted by mothers. Methods: A total of 219 women were enrolled
in this study; FI was assessed using the household food insecurity assessment (HFIAS),
maternal depression using the patient health questionnaire (PHQ-9), and their children’s
nutritional status through recall of anthropometric measurements. Pearson’s correlations
and logistic regressions were performed to evaluate the associations between HFI, maternal
depression, and children’s nutritional status. Results: A strong positive correlation between
HFI and maternal depression (p = 0.001) and children’s nutritional status (p = 0.008) was
shown. Logistic regressions revealed that being food secure decreased the risk of maternal
depression (OR = 0.328, 95% CI 0.125–0.863, p = 0.024), while it did not predict children’s
nutritional status. Eight main themes related to coping mechanisms were identified. Conclusions: This study highlights the understudied relationship between food insecurity and
maternal depression, showing an increased prevalence of HFI among residents in Lebanon
with a positive correlation with increased maternal depression. Further investigation is
warranted to better explore how to mitigate the negative impact of food insecurity on
mental health, maternal nutritional needs, and Infant and Young Child Feeding (IYCF)
practices in Lebanon.
Authors: Ugo Rogo, Ambra Viviani, Claudio Pugliesi, Marco Fambrini, Gabriele Usai, Marco Castellacci and Samuel Simoni
Abstract:
Plants often encounter challenging environmental factors, including intense
sunlight, drought, extreme heat, cold temperatures, salinity, excessive metals, and nutrient shortages, which can heavily affect their growth and survival......
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Authors: Ugo Rogo, Ambra Viviani, Claudio Pugliesi, Marco Fambrini, Gabriele Usai, Marco Castellacci and Samuel Simoni
Plants often encounter challenging environmental factors, including intense
sunlight, drought, extreme heat, cold temperatures, salinity, excessive metals, and nutrient shortages, which can heavily affect their growth and survival. In this regard, L-ascorbic acid (AsA) is not only an essential nutrient for human health but also plays a significant role in plant responses to environmental stresses, regulating various functions during
growth and development, redox signaling, and phytohormone biosynthesis. The growing
need to cope with climate change, together with the advancement of CRISPR/Cas9-editing
technologies, stimulated new opportunities to enhance AsA biosynthesis to improve crop
stress tolerance. In this review, we discuss the biosynthesis and regulation of AsA in abiotic stress response mechanisms. We also explore the latest advancements of
CRISPR/Cas9 technologies, their applications, and their challenges as tools for modifying
genes associated with AsA metabolism, aiming to develop crops more tolerant and resilient to environmental changes.
Authors: Akm Alamgir, Christopher Kyriakides, Andrew Johnson, Gemechu Abeshu, Bay Bahri and Miles Abssy
Abstract:
Context: The global escalation of conflict, violence, and human rights violations sets a
pressing backdrop for examining the resilience of forcibly displaced youth (FDY) in Canada......
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Authors: Akm Alamgir, Christopher Kyriakides, Andrew Johnson, Gemechu Abeshu, Bay Bahri and Miles Abssy
Context: The global escalation of conflict, violence, and human rights violations sets a
pressing backdrop for examining the resilience of forcibly displaced youth (FDY) in Canada. This
study aims to unpack the multifaceted challenges and resilience mechanisms of FDY, focusing
on their health, well-being, and integration into host communities. It seeks to identify current
models of resilience, understand the factors within each model, and highlight gaps and limitations.
Methodology: Using a university librarian-supported structured search strategy, this exploratory
rapid review searched literature from Ovid Medline and open-source databases, published in English
between January 2019 and January 2024, that fit specific inclusion criteria. The eligible articles
(N = 12 out of 4096) were charted and analyzed by two student researchers with the Principal
Investigator (PI). Charted data were analyzed thematically. Results: The selected studies captured
diverse geographical perspectives, resilience models (such as Ungar’s ecological perspective and
Masten’s resilience developmental models), as well as protective and promotive frameworks. Key
findings indicate the complexity of resilience influenced by individual, familial, societal, and cultural
factors. Each model offers insights into the dynamic interplay of these influences on FDY’s resilience.
However, these models often fall short of addressing the nuances of cultural specificity, the impact
of trauma, and the intersectionality of FDY’s identities. Conclusions: Recognizing the diverse and
evolving nature of FDY’s coping mechanisms, this study advocates for a culturally appropriate
approach to resilience that integrates an intersectionality framework of individual attributes and
culturally sensitive models.
Authors: Qingxiang Jia, Jucheng Yang, Shujie Han, Zihan Du and Jianzheng Liu
Abstract:
Cow behavior carries important health information. The timely and accurate detection
of standing, grazing, lying, estrus, licking, fighting, and other behaviors is crucial for individual
cow monitoring and understanding.....
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Authors: Qingxiang Jia, Jucheng Yang, Shujie Han, Zihan Du and Jianzheng Liu
Cow behavior carries important health information. The timely and accurate detection
of standing, grazing, lying, estrus, licking, fighting, and other behaviors is crucial for individual
cow monitoring and understanding of their health status. In this study, a model called CAMLLAYOLOv8n is proposed for Holstein cow behavior recognition. We use a hybrid data augmentation
method to provide the model with rich Holstein cow behavior features and improve the YOLOV8n
model to optimize the Holstein cow behavior detection results under challenging conditions. Specifically, we integrate the Coordinate Attention mechanism into the C2f module to form the C2f-CA
module, which strengthens the expression of inter-channel feature information, enabling the model
to more accurately identify and understand the spatial relationship between different Holstein cows’
positions, thereby improving the sensitivity to key areas and the ability to filter background interference. Secondly, the MLLAttention mechanism is introduced in the P3, P4, and P5 layers of the Neck
part of the model to better cope with the challenges of Holstein cow behavior recognition caused
by large-scale changes. In addition, we also innovatively improve the SPPF module to form the
SPPF-GPE module, which optimizes small target recognition by combining global average pooling
and global maximum pooling processing and enhances the model’s ability to capture the key parts
of Holstein cow behavior in the environment. Given the limitations of traditional IoU loss in cow
behavior detection, we replace CIoU loss with Shape–IoU loss, focusing on the shape and scale
features of the Bounding Box, thereby improving the matching degree between the Prediction Box
and the Ground Truth Box. In order to verify the effectiveness of the proposed CAMLLA-YOLOv8n
algorithm, we conducted experiments on a self-constructed dataset containing 23,073 Holstein cow
behavior instances. The experimental results show that, compared with models such as YOLOv3-tiny,
YOLOv5n, YOLOv5s, YOLOv7-tiny, YOLOv8n, and YOLOv8s, the improved CAMLLA-YOLOv8n
model achieved increases in Precision of 8.79%, 7.16%, 6.06%, 2.86%, 2.18%, and 2.69%, respectively,
when detecting the states of Holstein cows grazing, standing, lying, licking, estrus, fighting, and
empty bedding. Finally, although the Params and FLOPs of the CAMLLA-YOLOv8n model increased slightly compared with the YOLOv8n model, it achieved significant improvements of 2.18%,
1.62%, 1.84%, and 1.77% in the four key performance indicators of Precision, Recall, mAP@0.5, and
mAP@0.5:0.95, respectively. This model, named CAMLLA-YOLOv8n, effectively meets the need for the accurate and rapid identification of Holstein cow behavior in actual agricultural environments. This research is significant for improving the economic benefits of farms and promoting the
transformation of animal husbandry towards digitalization and intelligence.
Authors: Eduardo Spinedi and Guillermo Horacio Docena
Abstract:
White adipose tissue (WAT) and the gut are involved in the development of neuroinflammation when an organism detects any kind of injury, thereby triggering metainflammation. In
fact, the.....
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Authors: Eduardo Spinedi and Guillermo Horacio Docena
White adipose tissue (WAT) and the gut are involved in the development of neuroinflammation when an organism detects any kind of injury, thereby triggering metainflammation. In
fact, the autonomous nervous system innervates both tissues, although the complex role played by
the integrated sympathetic, parasympathetic, and enteric nervous system functions have not been
fully elucidated. Our aims were to investigate the participation of inflamed WAT and the gut in
neuroinflammation. Firstly, we conducted an analysis into how inflamed peripheral WAT plays a
key role in the triggering of metainflammation. Indeed, this included the impact of the development
of local insulin resistance and its metabolic consequences, a serious hypothalamic dysfunction that
promotes neurodegeneration. Then, we analyzed the gut–brain axis dysfunction involved in neuroinflammation by examining cell interactions, soluble factors, the sensing of microbes, and the role of
dysbiosis-related mechanisms (intestinal microbiota and mucosal barriers) affecting brain functions.
Finally, we targeted the physiological crosstalk between cells of the brain–WAT–gut axis that restores
normal tissue homeostasis after injury. We concluded the following: because any injury can result
not only in overall insulin resistance and dysbiosis, which in turn can impact upon the brain, but
that a high-risk of the development of neuroinflammation-induced neurodegenerative disorder can
also be triggered. Thus, it is imperative to avoid early metainflammation by applying appropriate
preventive (e.g., lifestyle and diet) or pharmacological treatments to cope with allostasis and thus
promote health homeostasis.
Keywords: neuroinflammation; hypertrophic white adiposity; insulin resistance; diabetes mellitus;
neurodegenerative diseases; central and autonomic nervous systems; immune system; gut–brain axis;
microbiota; dysbiosis; brain–WAT–gut axis