bluuebunny/crossref_metadata_2025 huggingface dataset:
Altered states of leadership: mindfulness meditation, psychedelic use, and leadership development
Authors: Simonsson Otto , Stenfors Cecilia U. D. , Goldberg Simon B. , Hendricks Peter S. , Osika Walter
Published: July 2023

Background

Previous research suggests that mindfulness meditation and psychedelic substances show promise as mental health interventions, but relatively little remains known about their potential impact on leadership outcomes.

Aims

This study aimed to investigate if and how mindfulness meditation and psychedelic use may impact leadership among respondents with a management position as their primary role at work.

Methods

Using samples representative of the US and UK adult populations with regard to sex, age, and ethnicity, this study used quantitative and qualitative methods to examine if and how mindfulness meditation and psychedelic use may impact leadership.

Results

Among respondents with a management position as their primary role at work (n = 3,150), 1,373 reported having tried mindfulness meditation and 559 reported having tried psychedelics. In covariate-adjusted regression analyses, both lifetime number of hours of mindfulness meditation practice and greater psychological insight during respondents’ most intense psychedelic experience were associated with describing a positive impact on leadership (ORs = 2.33, 3.49; ps < 0.001), while qualitative analyses revealed nuances in the type of impacts mindfulness meditation and psychedelic use had on leadership. There were several subthemes (e.g., focus, creativity, patience, empathy, compassion) that were frequently reported with both mindfulness meditation and psychedelic use. There were also unique subthemes that were more commonly reported with mindfulness meditation (e.g., improved sleep, stress reduction, calming effects) and psychedelic use (e.g., greater self-understanding, less hierarchical attitudes toward colleagues, positive changes in interpersonal attitudes and behaviors), respectively.

Conclusion

Although causality cannot be inferred due to the research design, the findings in this study suggest potential complementary effects of mindfulness meditation and psychedelic use on leadership, which could inspire new approaches in leadership development.
Opening the doors for spillovers: a contingency view of the effects of work from home on the work–home interface
Authors: Bölingen Felix , Hermida Carrillo Alejandro , Weller Ingo
Published: July 2023

Why do employees experience work from home (WFH) differently? We draw on boundary theory to explain how WFH influences employees’ work–home interface. WFH intensity increases negative spillovers (i.e., work-to-home conflict and home-to-work conflict) and positive spillovers (i.e., work-to-home enrichment and home-to-work enrichment) between the work and home domains. Negative spillovers can be mitigated through high-quality work equipment and beneficial spatial conditions at home. Domain centrality predicts who can benefit from increased WFH intensity. We test our theory with a sample of 545 employees, obtained through a two-step random sampling procedure in the city of Munich/Germany during the COVID-19 pandemic. We find that WFH intensity increases work-to-home conflict and home-to-work enrichment, affecting employees’ relationship satisfaction and job satisfaction. High-quality work equipment mitigates the detrimental effects of WFH. Employees with a high family centrality can reap benefits of more WFH because they experience more home-to-work enrichment. The simultaneous desirable and detrimental effects of WFH intensity can partly explain why studies have found heterogenous WFH experiences among employees.
Depressive symptoms and their severity in a sample with lymphedema: a case–control investigation
Authors: Monteiro Ana Júlia , de Labra Carmen , Losa-Iglesias Marta Elena , Dias Adriano , Becerro-de-Bengoa-Vallejo Ricardo , Silva-Migueis Helena , Cardoso Paula , López-López Daniel , Gómez-Salgado Juan
Published: July 2023

Objectives

Depression is a condition that can be associated with other illnesses, especially chronic illnesses. Lower limb lymphedema is a chronic, disabling condition that can affect the quality of life and be related to psychological and psychosocial factors that interfere with people’s lives. This study aims to characterize and analyze the depressive symptoms and their severity reported by people with lower limb lymphedema and compare them with a matched group without lymphedema.

Methods

A case–control study was carried out (n = 80) with participants divided into a case group (40 people with lower limb lymphedema) and a control group (40 people without lower limb lymphedema). Both groups were anthropometrically, sociodemographically, and clinically characterized. In the case group, a characterization of lymphedema was performed. Participants completed the Beck Depression Inventory-II.

Results

Individuals with lower limb lymphedema have higher BDI-II scores than the matched group without lymphedema. Somatic depressive symptoms were, in general, the most reported and the ones with the highest scores. The depressive symptoms most reported by the case group were tiredness or fatigue, loss of energy, and changes in sleeping. Tiredness or fatigue, loss of energy, and loss of interest in sex were the most severe depressive symptoms reported by individuals with lower limb lymphedema.

Conclusion

Considering the apparent tendency to depression, greater attention should be given to the mental health of people with lower limb lymphedema.
Oral cholera vaccine coverage evaluation survey: Forcibly Displaced Myanmar Nationals and host community in Cox's Bazar, Bangladesh
Authors: Qayum Md. Omar , Billah Mallick Masum , Sarker Mohammad Ferdous Rahman , Alamgir A. S. M. , Nurunnahar Mehejabin , Khan Manjur Hossain , Salim Uzzaman M. , Henderson Alden , Shirin Tahmina , Flora Meerjady Sabrina
Published: July 2023

Introduction

Cholera remains a significant public health concern in many parts of the world, particularly in areas with poor sanitation and hygiene. Bangladesh and other impoverished nations have been severely affected by cholera outbreaks, especially in areas with a high population density. In order to mitigate the spread of cholera, oral cholera vaccines (OCVs) are recommended as a prophylactic measure. In May 2018, 775,666 of the Forcibly Displaced Myanmar Nationals (FDMN) in the registered and makeshift camps and 103,605 of the residents in the host community received two doses of OCV ShancholTM in Cox's Bazar, Bangladesh, because the conditions in the area favored the transmission of cholera and other waterborne diseases. This study aimed to assess the coverage of OCV among the FDMN and the host community in Cox's Bazar.

Methods

In August 2018, we enrolled 4,240 respondents for this study following the “World Health Organization (WHO) Vaccination Coverage Cluster Surveys: Reference Manual (2018).” The coverage survey was conducted with three strata of the population: the host community from the Teknaf Upazila, the registered camp, and the makeshift camp from the Ukhia Upazila. We collected information regarding OCV coverage, demographic characteristics, and knowledge and behaviors of people toward the vaccine. The data were analyzed using descriptive statistics.

Results

According to our study, the overall OCV coverage was 85%, with 68% in the host community, 91% in the registered camp, and 98% in the makeshift camp. The lower coverage in the host community was due to residents unaware of the vaccination campaign, the unavailability of vaccines, and unaware where to go for vaccination.

Discussion

Our findings demonstrate that the OCV campaign in the FDMN camps was successful, reaching over 90% coverage, while coverage in the host community was much lower. In order to make sure that OCV vaccination efforts are reaching the target population and having the desired impact, our study emphasizes the need to inform the target population of when and where to get vaccinated.
A success story of clinical debriefings: lessons learned to promote impact and sustainability
Authors: Paquay Méryl , Simon Robert , Ancion Aurore , Graas Gwennaëlle , Ghuysen Alexandre
Published: July 2023

The COVID-19 crisis impacted emergency departments (ED) unexpectedly and exposed teams to major issues within a constantly changing environment. We implemented post-shift clinical debriefings (CDs) from the beginning of the crisis to cope with adaptability needs. As the crisis diminished, clinicians voiced a desire to maintain the post-shift CD program, but it had to be reshaped to succeed over the long term. A strategic committee, which included physician and nurse leadership and engaged front-line staff, designed and oversaw the implementation of CD. The CD structure was brief and followed a debriefing with a good judgment format. The aim of our program was to discover and integrate an organizational learning strategy to promote patient safety, clinicians' wellbeing, and engagement with the post-shift CD as the centerpiece. In this article, we describe how post-shift CD process was performed, lessons learned from its integration into our ED strategy to ensure value and sustainability and suggestions for adapting this process at other institutions. This novel application of debriefing was well received by staff and resulted in discovering multiple areas for improvement ranging from staff interpersonal interactions and team building to hospital wider quality improvement initiatives such as patient throughput.
Treatment outcomes and associated factors for hospitalization of children treated for acute malnutrition under the OptiMA simplified protocol: a prospective observational cohort in rural Niger
Authors: Phelan Kevin , Seri Benjamin , Daures Maguy , Yao Cyrille , Alitanou Rodrigue , Aly Ahmad Ag Mohamed , Maidadji Oumarou , Sanoussi Atté , Mahamadou Aboubacar , Cazes Cécile , Moh Raoul , Becquet Renaud , Shepherd Susan
Published: July 2023

Introduction

Globally, access to treatment for severe and moderate acute malnutrition is very low, in part because different protocols and products are used in separate programs. New approaches, defining acute malnutrition (AM) as mid-upper arm circumference (MUAC) < 125 mm or oedema, are being investigated to compare effectiveness to current programs. Optimizing Malnutrition treatment (OptiMA) is one such strategy that treats AM with one product – ready-to-use therapeutic food, or RUTF – at reduced dosage as the child improves.

Methods

This study aimed to determine whether OptiMA achieved effectiveness benchmarks established in the Nigerien National Nutrition protocol. A prospective cohort study of children in the rural Mirriah district evaluated outcomes among children 6-59 months with uncomplicated AM treated under OptiMA. In a parallel, unconnected program in one of the two trial sites, all non-malnourished children 6-23 months of age were provided small quantity lipid-based nutritional supplements (SQ-LNS). A multivariate logistic regression identified factors associated with hospitalization.

Results

From July-December 2019, 1,105 children were included for analysis. Prior to treatment, 39.3% of children received SQ-LNS. Recovery, non-response, and mortality rates were 82.3%, 12.6%, and 0.7%, respectively, and the hospitalization rate was 15.1%. Children who received SQ-LNS before an episode of AM were 43% less likely to be hospitalized (ORa=0.57; 0.39-0.85, p = 0.004).

Discussion

OptiMA had acceptable recovery compared to the Nigerien reference but non-response was high. Children who received SQ-LNS before treatment under OptiMA were less likely to be hospitalized, showing potential health benefits of combining simplified treatment protocols with food-based prevention in an area with a high burden of malnutrition such as rural Niger.
Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest
Authors: Togunwa Taofeeq Oluwatosin , Babatunde Abdulhammed Opeyemi , Abdullah Khalil-ur-Rahman
Published: July 2023

Introduction

Maternal health is a critical aspect of public health that affects the wellbeing of both mothers and infants. Despite medical advancements, maternal mortality rates remain high, particularly in developing countries. AI-based models provide new ways to analyze and interpret medical data, which can ultimately improve maternal and fetal health outcomes.

Methods

This study proposes a deep hybrid model for maternal health risk classification in pregnancy, which utilizes the strengths of artificial neural networks (ANN) and random forest (RF) algorithms. The proposed model combines the two algorithms to improve the accuracy and efficiency of risk classification in pregnant women. The dataset used in this study consists of features such as age, systolic and diastolic blood pressure, blood sugar, body temperature, and heart rate. The dataset is divided into training and testing sets, with 75% of the data used for training and 25% used for testing. The output of the ANN and RF classifier is considered, and a maximum probability voting system selects the output with the highest probability as the most correct.

Results

Performance is evaluated using various metrics, such as accuracy, precision, recall, and F1 score. Results showed that the proposed model achieves 95% accuracy, 97% precision, 97% recall, and an F1 score of 0.97 on the testing dataset.

Discussion

The deep hybrid model proposed in this study has the potential to improve the accuracy and efficiency of maternal health risk classification in pregnancy, leading to better health outcomes for pregnant women and their babies. Future research could explore the generalizability of this model to other populations, incorporate unstructured medical data, and evaluate its feasibility for clinical use.
Determining the effect of one decade on fitness of elite Austrian youth soccer players using propensity score matching
Authors: Gonaus Christoph , Müller Erich , Stöggl Thomas , Birklbauer Jürgen
Published: July 2023

Current trends in attacking strategies and increases in external workload have led to a need for fast and well-conditioned athletes in modern soccer. More recently, progressions in speed, coordination, power and endurance were found over a decade in elite Austrian youth players. However, possible confounders such as relative age, maturation, learning effects, and academy philosophy may have influenced these changes. The present study aimed to determine the decade effect on fitness under statistical control of players' exact age, height, body mass, test location as well as total number of pretests and time interval between test and pretest. Players annually completed a battery of anthropometric, general and soccer-specific fitness tests. MANCOVA was calculated to identify the overall impacts of the covariates on fitness. To balance the covariates of initially 2,530 “former” (2002 to 2005) and 2,611 “recent” (2012 to 2015) players, 1:1 nearest neighbor propensity score (PS) matching was used, resulting in 587 U13, 573 U14, 475 U15, 325 U16, 262 U17, and 129 U18 matched pairs. The decade effect on fitness was assessed by independent t-tests and Cohen's d separately at each age group. Superior performances of recent players were found for linear sprint across all age categories (d = 0.154–0.476) as well as for agility (d = 0.125–0.340) and change-of-direction speed (d = 0.172–0.466) in U15 to U18. Reaction speed increased in U13 (d = 0.288) and U15 (d = 0.310). Flexibility reduced over the decade in all age categories (d = −0.151 to −0.589) and upper-limb power decreased (d = −0.278 to −0.347) in U13 and U14. Balancing the covariate distribution via PS matching generally confirmed previous findings, with fitness decade effects reflecting the athletic needs for modern soccer. Since fitness performance changed over time, reference values should be periodically updated. Coaches favor both physical and cognitive fast players nowadays. Thus, training should target all aspects of speed, without disregarding flexibility, upper-limb power and other preventive strategies that keep the players on the pitch.
Neuromuscular control: from a biomechanist's perspective
Authors: Mulla Daanish M. , Keir Peter J.
Published: July 2023

Understanding neural control of movement necessitates a collaborative approach between many disciplines, including biomechanics, neuroscience, and motor control. Biomechanics grounds us to the laws of physics that our musculoskeletal system must obey. Neuroscience reveals the inner workings of our nervous system that functions to control our body. Motor control investigates the coordinated motor behaviours we display when interacting with our environment. The combined efforts across the many disciplines aimed at understanding human movement has resulted in a rich and rapidly growing body of literature overflowing with theories, models, and experimental paradigms. As a result, gathering knowledge and drawing connections between the overlapping but seemingly disparate fields can be an overwhelming endeavour. This review paper evolved as a need for us to learn of the diverse perspectives underlying current understanding of neuromuscular control. The purpose of our review paper is to integrate ideas from biomechanics, neuroscience, and motor control to better understand how we voluntarily control our muscles. As biomechanists, we approach this paper starting from a biomechanical modelling framework. We first define the theoretical solutions (i.e., muscle activity patterns) that an individual could feasibly use to complete a motor task. The theoretical solutions will be compared to experimental findings and reveal that individuals display structured muscle activity patterns that do not span the entire theoretical solution space. Prevalent neuromuscular control theories will be discussed in length, highlighting optimality, probabilistic principles, and neuromechanical constraints, that may guide individuals to families of muscle activity solutions within what is theoretically possible. Our intention is for this paper to serve as a primer for the neuromuscular control scientific community by introducing and integrating many of the ideas common across disciplines today, as well as inspire future work to improve the representation of neural control in biomechanical models.
Case report: Resolution of oligo-anuric acute kidney injury with furosemide administration in a cat following lily toxicity
Authors: To An , Davila Claudia , Stroope Sarah , Walton Rebecca
Published: July 2023

Objective

To describe the successful outcome of a case of oligo-anuric acute kidney injury in a cat secondary to lily ingestion.

Case summary

A 12-week-old intact male domestic short-hair cat weighing 1.64 kg (3.6 lb) presented with a 12-h duration of vomiting and lethargy after exposure to lilies of the genera Lilium species 24 h prior to presentation. Severe azotemia (Creatinine 5.8 mg/dL, BUN > 100 mg/dL) and hyperkalemia (9.36 mmol/L) were noted on the day of presentation. Treatment of hyperkalemia was instituted with calcium gluconate, lactated ringers solution, dextrose, regular short-acting insulin, albuterol, and sodium bicarbonate, Oliguria to anuria was highly suspected based on a lack of urine production 21 h after hospitalization with intravenous fluid administration and a static bladder size. The cat was administered 4 mg/kg of furosemide, and urinated at 6 h following administration and continued to produce over 6 ml/kg/h of urine in the next 24 h. Two days following furosemide administration, the cat's hyperkalemia and azotemia resolved. The cat was discharged after 4 days of hospitalization, and a recheck revealed no persistent azotemia or hyperkalemia.

Unique information

Anuric acute kidney injury secondary to lily toxicity is associated with a poor prognosis, and the only treatment modality previously described is hemodialysis. The cat in this report was successfully managed with medical intervention and furosemide administration, with complete resolution of the acute kidney injury.
Preparation of caffeic acid grafted chitosan self-assembled micelles to enhance oral bioavailability and antibacterial activity of quercetin
Authors: Ren Xin , Ren Juan , Li Yipeng , Yuan Sikun , Wang Gengnan
Published: July 2023

Quercetin (QR) is a naturally occurring flavonoid organic compound that has poor solubility in water and highly unstable in alkaline conditions, resulting in limited absorption in poultry. Consequently, in our experiment, QR was employed as a model compound, encapsulated within the caffeic acid graft chitosan copolymer (CA-g-CS) self-assembled micelles to enhance its solubility, stability and exhibit a synergistic antibacterial effect. The optimization of the formula was carried out using a combination of single-factor experimentation and the response surface method. The in vitro release rate and stability of CA-g-CS-loaded QR micelles (CA-g-CS/QR) in various pH media were studied and the pharmacokinetics in white feather broiler chickens was evaluated in vivo. Additionally, the antibacterial activity was investigated using Escherichia coliCMCC44102 and Escherichia coli of chicken origin as the test strain. The results showed the optimized formula for the self-assembled micelles were 4 mL water, 0.02 mg/mL graft copolymer, and 1 mg QR, stirring at room temperature. The encapsulation efficiency was 72.09%. The resulting CA-g-CS/QR was uniform in size with an average diameter of 375.6 ± 5.9 nm. The release pattern was consistent with the Ritger-Peppas model. CA-g-CS/QR also significantly improved the stability of QR in alkaline condition. The relative bioavailability of CA-g-CS/QR was found to be 1.67-fold that of the reference drug, indicating a substantial increase in the absorption of QR in the broiler. Compared to the original drug, the antibacterial activity of CA-g-CS/QR was significantly enhanced, as evidenced by a reduction of half in the MIC and MBC values. These results suggest that CA-g-CS/QR improves the bioavailability and antibacterial activity of QR, making it a promising candidate for clinical use.
Assessing Tissue Transmission of Hepatitis C Virus From Viremic Donor to Seronegative Kidney Transplant Recipients: A Case Series
Authors: Franco Antonio , Gosalvez Carla , Gimeno Adelina , Trigueros Migul , Balibrea Noelia , Perez Contreras Francisco Javier
Published: July 2023

The transmission of hepatitis C virus from viremic donors to seronegative recipients of kidney transplantation is well documented. Pre-transplant administration of direct-acting antivirals prevents viremia, but the seroconversion rate is high. We studied the transmission of the virus through the transplanted tissue by determining viral RNA in 15 kidneys from 8 deceased viremic donors, 5 males and 3 females aged 52.3 ± 15 years. HIV positive donors and active intravenous drugs abusers were discarded to avoid possible window periods in the virus transmission. Recipients, 9 males and 6 females aged 52.7 ± 18 years, were treated with glecaprevir/pibrentasvir for 8 weeks and received immunosuppression with thymoglobulin, tacrolimus, sirolimus and prednisone. Hepatitis C Virus was detected in 9 of the 15 histological samples analyzed but viremia was detected in no recipient at day 1 and 7 post–transplantation and 12 weeks after the treatment. However, 13 of the 15 recipients had seroconverted within 1 month. In conclusion, Hepatitis C virus was detected in a significant proportion of tissue of kidney grafts from viremic donors, but treatment with direct-acting antivirals avoids the transmission of the virus from donor to recipient. Then Donor pools should be expanded.
How Self-Efficacy and Agency Influence Risky Sexual Behavior among Adolescents in Northern Uganda
Authors: Kisaakye Peter , Bukuluki Paul , Wandiembe Symon Peter , Kiwujja Victor , Kajungu Christine , Mugwanya Wilberforce , Nabakooza Shakira , Anyii Cyprian , Anena Cinderella , Kaikai Fiona
Published: July 2023

Background: Risky sexual behaviors remain common among adolescents regardless of those with comprehensive knowledge of safer sex practices. Self-efficacy has been shown to have a positive relationship with safer sex practices. Thus, investigating self-efficacy, and enhancing it to agency is important. The current study explores the predictors of self-efficacy for avoiding risky sexual behaviors and what limits agency among sexually active adolescents (15–19 years) in Northern Uganda. Methods: The study consisted of a sub-sample of 396 sexually active adolescents (145 in school, 251 out of school) interviewed as part of a household survey for the program on Advancing Sexual Reproductive Health and Rights in Northern Uganda. Poisson and Poisson regression models with survey weights were implemented in Stata. Results: A total of 94% of male and 64% of female adolescents reported self-efficacy to avoid unsafe sex, including using condoms and avoiding multiple sexual partnerships or transactional sex. At multivariable analysis, a higher proportion of adolescents who listened to a radio or television program about sexual and reproductive health within the past 12 months had self-efficacy as compared to others (PR = 1.13, p-value = 0.002). Similarly, higher proportions of adolescents who knew all the sexual and reproductive health (SRH) rights (PR = 1.33, p-value = 0.007) and who had comprehensive knowledge about pregnancy, prevention of sexual transmission infections, and sources of SRH services (PR = 1.24, p-value = 0.013) had self-efficacy as compared to others. However, among those who reported self-efficacy, 42% of the girls and 53% of the boys could not uphold their self-efficacy in actual sexual encounters in the past 12 months. Partner’s refusal or girls’ fear to ask their sexual partner to use a condom were commonly cited reasons. Alcohol consumption was associated with failure to act on one’s self-efficacy (RR = 0.74, p-value = 0.048). Conclusions: Programs should target self-efficacy beliefs and attempt to enhance them into agency by increasing positive and decreasing negative expectations associated with risky sexual behavior.
Effect of Electrical Conductivity Levels and Hydrogen Peroxide Priming on Nutrient Solution Uptake by Chives in a Hydroponic System
Authors: Silva Patrícia Ferreira da , Santos Bárbara Davis Brito dos , Dantas Neto José , Melo Alberto Soares de , Matos Rigoberto Moreira de , Bonou Semako Ibrahim , Silva Tonny José Araújo da , Bonfim-Silva Edna Maria , Berilli Ana Paula Candido Gabriel , Duarte Thiago Franco
Published: July 2023

The use of water of high electrical conductivity has become common in hydroponic systems, especially in regions with water scarcity. However, the use of inferior-quality water can affect crop yields. In this scenario, some studies have tested the use of chemical conditioning agents such as hydrogen peroxide to minimize the negative effects of stress on plants. From this perspective, this study aimed to evaluate the action of priming with hydrogen peroxide as a salt stress attenuator on the nutrient solution uptake and productivity of chives in a hydroponic system. The study was conducted in a protected environment with a randomized block design with a split-plot arrangement. The treatments consisted of a main plot consisting of the electrical conductivity of the nutrient solution (1.0, 2.0, 3.0, 4.0, and 5.0 dSm−1) and a subplot with five hydrogen peroxide concentrations (0.0, 0.15, 0.30, 0.45, and 0.60 mM). The increase in the electrical conductivity of the nutrient solution reduced bulb length, the solution volume applied, water uptake, total fresh mass, and the solution use efficiency by plants. Throughout the cultivation cycle in the hydroponic system, the consumption of nutrient solution was 459 mm lost by evapotranspiration. Acclimation with 0.60 mM hydrogen peroxide associated with 1 dSm−1 of electrical conductivity of the nutrient solution favors bulb diameter in chives. The increase in electrical conductivity compromises the productive yield of chives.
IO-YOLOv5: Improved Pig Detection under Various Illuminations and Heavy Occlusion
Authors: Lai Jiajun , Liang Yun , Kuang Yingjie , Xie Zhannan , He Hongyuan , Zhuo Yuxin , Huang Zekai , Zhu Shijie , Huang Zenghang
Published: July 2023

Accurate detection and counting of live pigs are integral to scientific breeding and production in intelligent agriculture. However, existing pig counting methods are challenged by heavy occlusion and varying illumination conditions. To overcome these challenges, we proposed IO-YOLOv5 (Illumination-Occlusion YOLOv5), an improved network that expands on the YOLOv5 framework with three key contributions. Firstly, we introduced the Simple Attention Receptive Field Block (SARFB) module to expand the receptive field and give greater weight to important features at different levels. The Ghost Spatial Pyramid Pooling Fast Cross Stage Partial Connections (GSPPFC) module was also introduced to enhance model feature reuse and information flow. Secondly, we optimized the loss function by using Varifocal Loss to improve the model’s learning ability on high-quality and challenging samples. Thirdly, we proposed a public dataset consisting of 1270 images and 15,672 pig labels. Experiments demonstrated that IO-YOLOv5 achieved a mean average precision (mAP) of 90.8% and a precision of 86.4%, surpassing the baseline model by 2.2% and 3.7% respectively. By using a model ensemble and test time augmentation, we further improved the mAP to 92.6%, which is a 4% improvement over the baseline model. Extensive experiments showed that IO-YOLOv5 exhibits excellent performance in pig recognition, particularly under heavy occlusion and various illuminations. These results provide a strong foundation for pig recognition in complex breeding environments.
Characterizing and Predicting the Quality of Milled Rice Grains Using Machine Learning Models
Authors: de Oliveira Carneiro Letícia , Coradi Paulo Carteri , Rodrigues Dágila Melo , Lima Roney Eloy , Teodoro Larissa Pereira Ribeiro , Santos de Moraes Rosana , Teodoro Paulo Eduardo , Nunes Marcela Trojahn , Leal Marisa Menezes , Lopes Lhais Rodrigues , Vendrusculo Tiago Arabites , Robattini Jean Carlos , Soares Anderson Henrique , dos Santos Bilhalva Nairiane
Published: July 2023

Physical classification is the procedure adopted by the rice unloading, delivery, storage, and processing units for the commercial characterization of the quality of the grains. This step occurs mostly by the conventional method, which demands more time and specialized labor, and the results are subjective since the evaluation is visual. In order to make the operation faster, more accurate, and less dependent, non-destructive technologies and computational intelligence can be applied to characterize grain quality. Therefore, this study aimed to characterize and predict the quality of whole, processed rice grains, as well as classify any defects present. This was achieved by sampling from the upper and lower points of four silo dryers with capacities of up to 40,000 sacks. The grain samples had moisture contents of 16%, 17%, 18%, and 19% and were subjected to drying-aeration until reaching 12% moisture content (w.b.). Near-infrared spectroscopy technology and Machine Learning algorithm models (Artificial Neural Networks, decision tree algorithms Quinlan’s algorithm, Random Tree, REPTree, and Random Forest) were employed for this purpose. By analyzing Pearson’s correlation statistics, a strong negative correlation (R2 = 0.98) was found between moisture content and the yield of whole grains. Conversely, a strong positive correlation (R2 = 0.97) was observed between moisture content and classified physical defects across the various characterized physicochemical constituents. These findings indicate the effectiveness of near-infrared spectroscopy technology. The Random Tree model (RandT) successfully predicted the grain quality outcomes and is therefore recommended as the model of choice, obtained Pearson’s correlation coefficient (r = 0.96), mean absolute error (MAE = 0.017), and coefficient of determination (R2 = 0.92). The results obtained here reveal that the combination of near-infrared spectroscopy technology and Machine Learning algorithm models is an excellent non-destructive alternative to manual physical classification for characterizing the physicochemical quality of whole and defective rice grains.
Different Functional and Taxonomic Composition of the Microbiome in the Rhizosphere of Two Purslane Genotypes
Authors: Carrascosa Angel , Pascual Jose Antonio , López-García Alvaro , Romo-Vaquero Maria , Ros Margarita , Petropoulos Spyridon A. , Alguacil Maria del Mar
Published: July 2023

Soil microbial communities have an important role in plant establishment and health. Particularly, the role of the soil microbiome in agriculture is of current interest. The study of microbial communities associated with purslane could open questions about the rational exploitation of the microbiota for sustainable agricultural purposes. In this study, the composition of the fungal and bacterial communities and the bacterial metabolic functions, associated with the rhizospheres of two purslane genotypes (one commercially available and one collected from the wild in Spain) were evaluated. The results showed a clear effect of purslane genotype on fungal and bacterial community composition and functional profiles. The bacterial community of the commercial purslane rhizosphere was characterized by more numerous metabolic pathways, mainly pathways related to Terpenoids and Polyketides, Carbohydrate, Lipid, and Amino Acid metabolism. By contrast, the rhizosphere bacterial community of the Spanish (wild) genotype was characterized by the enrichment of functions related to cellular processes such as cell motility and transport. We hypothesize that these differences could be due to differential effects of root exudate composition on the microbial functional community composition. This finding points out the need to consider differences in the functional characteristics of plant genotypes when selecting the beneficial microorganisms to be used as biofertilizers aiming to maximize plant growth and resistance to environmental stressors.
Screening for Metallo-Beta-Lactamases Using Non-Carbapenem Agents: Effective Detection of MBL-Producing Enterobacterales and Differentiation of Carbapenem-Resistant Enterobacterales
Authors: Takei Kentarou , Kanamori Hajime , Nakayama Asami , Chiba Mikiko , Takei Yumiko , Seike Issei , Kitamura Chiho , Baba Hiroaki , Oshima Kengo , Tokuda Koichi
Published: July 2023

Metallo-beta-lactamases (MBLs) are enzymes that break down carbapenem antibiotics, leading to carbapenem-resistant organisms. Carbapenemase-resistant Enterobacterales (CRE) is one of them. Outbreaks of CRE infection can occur in healthcare facilities and lead to increased deaths, illness, and medical costs. This study was conducted to detect MBLs using non-carbapenem agents and exclude MBLs among CRE isolates. A total of 3776 non-duplicate sequential Enterobacterales isolates from a single facility were screened between January 2019 and December 2022 using non-carbapenem agents, ceftazidime and cefoperazone/sulbactam. Positive 153 isolates (4.0%) were further tested using carbapenemase-confirmation tests and verified through polymerase chain reaction (PCR) testing. Fifteen imipenemase (IMP)-type MBL-producing Enterobacterales (0.4%) including one susceptible to carbapenems were identified. Moreover, 160 isolates (4.2%) meeting the criteria for CRE were directly subjected to PCR testing. All fourteen CRE isolates with MBLs identified through PCR testing were found to be the same strains screened using ceftazidime and cefoperazone/sulbactam. Screening using ceftazidime and cefoperazone/sulbactam can effectively detect MBL-producing Enterobacterales strains. This screening method showed comparable results to screening with meropenem, potentially serving as a supplementary approach and contributing to differentiating between MBL- and non-MBL-producing CRE strains. Our findings support these screening methods, particularly in regions where IMP-type MBLs are prevalent.
Oxidative Stress and Antioxidants in Age-Related Macular Degeneration
Authors: Kushwah Neetu , Bora Kiran , Maurya Meenakshi , Pavlovich Madeline C. , Chen Jing
Published: July 2023

Oxidative stress plays a crucial role in aging-related eye diseases, including age-related macular degeneration (AMD), cataracts, and glaucoma. With age, antioxidant reparative capacity decreases, and excess levels of reactive oxygen species produce oxidative damage in many ocular cell types underling age-related pathologies. In AMD, loss of central vision in the elderly is caused primarily by retinal pigment epithelium (RPE) dysfunction and degeneration and/or choroidal neovascularization that trigger malfunction and loss of photo-sensing photoreceptor cells. Along with various genetic and environmental factors that contribute to AMD, aging and age-related oxidative damage have critical involvement in AMD pathogenesis. To this end, dietary intake of antioxidants is a proven way to scavenge free radicals and to prevent or slow AMD progression. This review focuses on AMD and highlights the pathogenic role of oxidative stress in AMD from both clinical and experimental studies. The beneficial roles of antioxidants and dietary micronutrients in AMD are also summarized.
Radical-Driven Methane Formation in Humans Evidenced by Exogenous Isotope-Labeled DMSO and Methionine
Authors: Keppler Frank , Boros Mihály , Polag Daniela
Published: July 2023

Methane (CH4), which is produced endogenously in animals and plants, was recently suggested to play a role in cellular physiology, potentially influencing the signaling pathways and regulatory mechanisms involved in nitrosative and oxidative stress responses. In addition, it was proposed that the supplementation of CH4 to organisms may be beneficial for the treatment of several diseases, including ischemia, reperfusion injury, and inflammation. However, it is still unclear whether and how CH4 is produced in mammalian cells without the help of microorganisms, and how CH4 might be involved in physiological processes in humans. In this study, we produced the first evidence of the principle that CH4 is formed non-microbially in the human body by applying isotopically labeled methylated sulfur compounds, such as dimethyl sulfoxide (DMSO) and methionine, as carbon precursors to confirm cellular CH4 formation. A volunteer applied isotopically labeled (2H and 13C) DMSO on the skin, orally, and to blood samples. The monitoring of stable isotope values of CH4 convincingly showed the conversion of the methyl groups, as isotopically labeled CH4 was formed during all experiments. Based on these results, we considered several hypotheses about endogenously formed CH4 in humans, including physiological aspects and stress responses involving reactive oxygen species (ROS). While further and broader validation studies are needed, the results may unambiguously serve as a proof of concept for the endogenous formation of CH4 in humans via a radical-driven process. Furthermore, these results might encourage follow-up studies to decipher the potential physiological role of CH4 and its bioactivity in humans in more detail. Of particular importance is the potential to monitor CH4 as an oxidative stress biomarker if the observed large variability of CH4 in breath air is an indicator of physiological stress responses and immune reactions. Finally, the potential role of DMSO as a radical scavenger to counteract oxidative stress caused by ROS might be considered in the health sciences. DMSO has already been investigated for many years, but its potential positive role in medical use remains highly uncertain.
Reply to Frański, R.; Beszterda-Buszczak, M. Comment on “Villalva et al. Antioxidant, Anti-Inflammatory, and Antibacterial Properties of an Achillea millefolium L. Extract and Its Fractions Obtained by Supercritical Anti-Solvent Fractionation against Helicobacter pylori. Antioxidants 2022, 11, 1849”
Authors: Villalva Marisol , Silvan Jose Manuel , Alarcón-Cavero Teresa , Villanueva-Bermejo David , Jaime Laura , Santoyo Susana , Martinez-Rodriguez Adolfo J.
Published: July 2023

Franski and Beszterda-Buszczak [...]
The Use of Solidified Carbon Dioxide in the Aerobic Granular Sludge Pre-Treatment before Thermophilic Anaerobic Digestion
Authors: Kazimierowicz Joanna , Dębowski Marcin , Zieliński Marcin , Bartkowska Izabela , Wasilewski Adam , Łapiński Dawid , Ofman Piotr
Published: July 2023

The most common technology for the recovery of energy and valuable materials from sewage sludge is anaerobic digestion (AD). Ensuring thermophilic conditions during AD has been proven to cause process intensification and an improvement in its final outcomes. Nonetheless, the search is underway for other methods to bolster the effectiveness of the AD of aerobic granular sludge (AGS), which is characterized by a compact and complex structure. A prospective AGS pre-treatment technology entails the use of solidified carbon dioxide (SCO2). The present study focused on an evaluation of the AGS pre-treatment with SCO2 on the thermophilic AD technological effects. It evaluated the effect of the SCO2 pre-treatment method on changes in the concentrations of organic and biogenic compounds in the dissolved phase and the yield and kinetics of biogas and methane production in periodical reactors, as well as enabled the development of an empirical organizational model of biogas production. SCO2 introduced to AGS caused an increase in the content of COD, N-NH4+, and P-PO43− in the AGS dissolved phase at SCO2/AGS volumetric ratios ranging from 0 to 0.3. A further increase in the SCO2 dose did not cause any statistically significant differences in this respect. The highest biogas and methane yields were obtained at SCO2/AGS of 0.3 and reached 482 ± 21 cm3/gVS and 337 ± 14 cm3/gVS, respectively. The higher SCO2 doses used led to a significant decrease in the pH value of the AGS, which, in turn, contributed to a decreasing CH4 concentration in the biogas.
GIS Retrofitting Technique for Hong Kong Sports Center with a Large Hall
Authors: Fong Ming-Lun , Tsang Kai-Kwong
Published: July 2023

The energy consumption of air conditioning systems in large spaces is a concern due to inefficiencies caused by the high ceiling. This paper presents the Green aIr-distribution System (GIS) retrofitting technique as a solution to reduce energy consumption and optimize thermal comfort in a large Hong Kong sports center to achieve carbon neutrality. A comparison is made between the existing air distribution system with ceiling supply and return as baseline model and the GIS with occupied wall supply and ceiling return as retrofit models regarding ventilation performance, thermal comfort, and energy aspects. Computational fluid dynamics (CFD) is employed to analyze the average operative temperature, airspeed, and other thermal comfort parameters. The findings demonstrate that implementing the GIS in the large sports center allows for a 1.5 °C increase in the supply temperature without significantly compromising thermal comfort. The algorithm for developing GIS for the large space application is also discussed. Additionally, the GIS model exhibits notable improvements in ventilation factors, such as Local Mean Age (LMA), Local air change index (LACI), and Air Distribution Performance Index (ADPI), resulting in improved air quality and reduced energy use within the occupied space.
Open and Closed Triple Inhaler Therapy in Patients with Uncontrolled Asthma
Authors: Kotoulas Serafeim-Chrysovalantis , Tsiouprou Ioanna , Domvri Kalliopi , Dontsi Polyxeni , Pataka Athanasia , Porpodis Konstantinos
Published: July 2023

Long-acting muscarinic antagonists (LAMAs) are a class of inhalers that has recently been included as add-on therapy in the GINA guidelines, either in a single inhaler device with inhaled corticosteroids plus long-acting β2-agonists (ICS + LABA) (closed triple inhaler therapy) or in a separate one (open triple inhaler therapy). This review summarizes the existing evidence on the addition of LAMAs in patients with persistently uncontrolled asthma despite ICS + LABA treatment based on clinical efficacy in the reduction of asthma symptoms and exacerbations, the improvement in lung function, and its safety profile.
Case Study of the Aerosol Optical Properties in the Atmosphere over Wuhan, China
Authors: Mao Qianjun , Hu Gangzheng , Nie Xin
Published: July 2023

The research on regional aerosol optical properties is of great significance for exploring climate regulation mechanisms and controlling atmospheric pollution. Based on the solar radiation observation platform, a three-month optical observation of atmospheric aerosols was conducted in Wuhan, China. The daily and monthly variation characteristics of aerosol optical depth (AOD550), Angstrom parameter (α440–870), and turbidity coefficient (β) were revealed, and the interrelations between the three optical parameters were fitted. Then, the potential relationships between atmospheric particulate matter (PM2.5, PM10) with AOD550 and β were discussed. The results show that the average values of AOD550, α440–870, and β in this case study are 0.42, 1.32, and 0.20, respectively. The frequency distribution patterns of the three optical parameters are all unimodal. AOD550 has a good linear correlation system with β, and the Pearson correlation coefficient reaches 0.94, while its correlation with α440–870 is not significant. The daily variation in AOD550 and β both show an increasing trend, and their monthly increases are more than 50%. However, the daily variation in α440–870 is relatively stable, and the fitted line is a nearly horizontal line with no significant monthly variation. The fluctuation of particulate matter concentration affects the aerosol optical properties to some extent, among which β has a prominent effect on the response to the change in PM2.5 concentration with a linear correlation coefficient of 0.861. As the concentration of particulate matter increases, the proportion of fine particulate matter in the atmosphere increases monthly, and the ratio of PM10 to PM2.5 concentrations decreases from 1.8:1 to 1.2:1. Atmospheric pollution conditions are frequent during this observation period, mainly at mildly turbid levels. Atmospheric turbidity shows an increasing trend month by month, and the concentration of particulate matter increases rapidly. The response of atmospheric aerosol optical properties to the changes in fine particulate matter concentration is significant, and controlling the particulate matter content in the atmosphere is an effective means to mitigate aerosol pollution.
State of Charge Estimation for Lithium-Ion Battery Based on Unscented Kalman Filter and Long Short-Term Memory Neural Network
Authors: Zeng Yi , Li Yan , Yang Tong
Published: July 2023

State of charge (SOC) estimation is the core algorithm of the battery management system. However, the commonly used model-based, data-driven, or experiment-based methods struggle to independently achieve accurate SOC estimation under different working conditions and temperatures, which affects battery performance and safety. To this end, this paper proposes an online SOC estimation method that combines the model-driven and double-data-driven approaches. The unscented Kalman filter (UKF) based on the first-order RC model is used to achieve robust SOC estimation, while the data-driven long short-term memory (LSTM) neural network is used to achieve fast SOC estimation. The former model has an excellent dynamic performance and the latter has high steady-state accuracy. The SOC estimation results are input into the SOC estimation model of series LSTM so that the stable but inaccurate SOC values estimated by UKF in the first part and the accurate but fluctuating SOC values estimated by LSTM can be correlated and corrected, achieving a fast and accurate SOC estimation under various working conditions. The estimation results show that the above method has strong robustness and high accuracy, and effectively reduces model complexity and data redundancy. In addition, the root mean square error of SOC estimation under different working conditions is controlled within 1–2.3% at 0 °C, 25 °C, and 45 °C, which is better than the traditional single-SOC estimation method.