bluuebunny/crossref_metadata_2025 huggingface dataset:
The Ecological Root Metaphor for Higher Education: Searching for Evidence of Conceptual Emergence within University Education Strategies
Authors: Kinchin Ian M.
Published: August 2022

Recent research has suggested that Higher Education would benefit from the adoption of institutional models that relinquish ties to industrial thinking and associated metaphors. This long-established, market-led managerial perspective has been colonised by neoliberal values that work against education. A move towards models that have greater resonance with ecological thinking is considered to better align the institutional purpose with tackling the wicked problems of the current century and promoting social justice. This paper considers the role of root metaphors in promoting and maintaining an ecological perspective and asks if there is any evidence for the emergence of ecological thinking in institutional education strategies that might support the development of the imagined future of the ecological university. Qualitative document analysis suggests that the move towards the adoption of the ecological root metaphor will require a punctuated change that is not compatible with the typical incremental nature of change within universities. The incremental adoption of ecological terminology may trigger an increase in pedagogic frailty if the root metaphor remains linked to the neoliberal ideology of consumerism. The construction of strategy documents needs to consider how key concepts are related to each other and how they can portray a coherent image of the institution’s ambitions.
Research on Deep Defect Detection Method of Cable Lead Sealing Based on Improved Pulsed Eddy Current Excitation
Authors: Shao Qianqiu , Fan Songhai , Liu Fenglian
Published: August 2022

In order to reduce power failures caused by lead sealing defects, it is necessary to carry out nondestructive testing of cable lead sealings. However, previous studies have focused on the detection of surface and near-surface defects of lead sealings. Thus, an improved pulsed eddy current detection (IPECD) method is introduced to detect the deep defects of cable lead sealings (with depths ranging from 6 to 12 mm), and the frequency range selection principle and the optimization method of initial phase angles of different frequency components of IPECD, used to maximize the peak value of the excitation signal, are first explained in detail. Then, the detection sensitivities of the deep defects before and after the optimization are compared and analyzed based on a simulation. Finally, using the IPECD method, experiments are conducted to study the effects of the defect depth on features of the lift-off point of intersection and the zero-crossing time, enhancing the foundation for the prediction or rapid detection of the depth of lead sealing defects.
Mammographic Classification of Breast Cancer Microcalcifications through Extreme Gradient Boosting
Authors: Liang Haobang , Li Jiao , Wu Hejun , Li Li , Zhou Xinrui , Jiang Xinhua
Published: August 2022

In this paper, we proposed an effective and efficient approach to the classification of breast cancer microcalcifications and evaluated the mathematical model for calcification on mammography with a large medical dataset. We employed several semi-automatic segmentation algorithms to extract 51 calcification features from mammograms, including morphologic and textural features. We adopted extreme gradient boosting (XGBoost) to classify microcalcifications. Then, we compared other machine learning techniques, including k-nearest neighbor (kNN), adaboostM1, decision tree, random decision forest (RDF), and gradient boosting decision tree (GBDT), with XGBoost. XGBoost showed the highest accuracy (90.24%) for classifying microcalcifications, and kNN demonstrated the lowest accuracy. This result demonstrates that it is essential for the classification of microcalcification to use the feature engineering method for the selection of the best composition of features. One of the contributions of this study is to present the best composition of features for efficient classification of breast cancers. This paper finds a way to select the best discriminative features as a collection to improve the accuracy. This study showed the highest accuracy (90.24%) for classifying microcalcifications with AUC = 0.89. Moreover, we highlighted the performance of various features from the dataset and found ideal parameters for classifying microcalcifications. Furthermore, we found that the XGBoost model is suitable both in theory and practice for the classification of calcifications on mammography.
Numerical and Experimental Investigation on Safety of Downhole Solid–Liquid Separator for Natural Gas Hydrate Exploitation
Authors: Nie Qi , Zhang Shifan , Huang Yuan , Yi Xianzhong , Wu Jiwei
Published: August 2022

Deep water shallow natural gas hydrate (NGH) is a kind of clean energy and has entered the commercial exploitation stage. However, it produces a lot of seabed sediment in the process of large-scale mining, which not only easily causes undersea natural hazards, but also leads to pipeline equipment blockage and high energy consumption in the mining process. A downhole solid–liquid separator can effectively separate natural gas hydrate from sand and backfill sand in situ, which can effectively solve this problem. In this paper, the safety of a downhole solid–liquid separator desander under torsion conditions is determined by a test method. A numerical simulation method was used to simulate the tension and pressure of the downhole solid–liquid separator, and a modal simulation analysis and erosion analysis of the downhole solid–liquid separator were carried out. The experiments showed that the downhole solid–liquid separator could withstand 30 KN/m of torque, and a numerical simulation analysis showed that it could withstand 30 MPa of pressure and 50 KN of tension. The results show that the maximum stress is 116.56 MPa, and the maximum allowable stress is 235 MPa. The modal analysis showed that the downhole solid–liquid separator produces resonance at a frequency of about 93 Hz, resulting in large deformation, which should be avoided as far as possible. Through the erosion analysis, the life of the downhole solid–liquid separator was determined to be about 2.3 years. Numerical simulation and experimental results show that the designed downhole solid–liquid separator for natural gas hydrate can ensure safety.
Power Supply and Control Unit for Actively Heated Protective Clothing with Photovoltaic Energy Harvesting
Authors: Pękosławski Bartosz , Marciniak Paweł , Starzak Łukasz , Stawiński Adam , Bartkowiak Grażyna
Published: August 2022

An active heating system has been developed for application in smart clothing for mountain rescuers. It uses a set of sensors and is aimed at gathering necessary data for the elaboration and testing of an automatic control algorithm. The system is powered by a lithium-ion battery pack, which can be additionally charged from flexible PV modules. The article presents an estimation of this system’s power supply requirements and its energy budget. Since the system’s maximum operation time strongly depends on the efficiency of its main power converter, the design of the latter was based on a model enabling power loss estimation in its particular components. Characteristics ultimately measured on a prototype showed a high agreement with simulations. Furthermore, five different arrangements of PV modules were studied in order to find the most effective one. The system was tested in real conditions for the three most promising PV module configurations.
Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer
Authors: Rahman Ashikur , Lin Xianke , Wang Chongming
Published: August 2022

The anode state of charge (SOC) and degradation information pertaining to lithium-ion batteries (LIBs) is crucial for understanding battery degradation over time. This information about each cell in a battery pack can help prolong the battery pack’s life cycle. Because of the limited observability, estimating the anode state and capacity fade is difficult. This task is even more challenging for the cells in a battery pack, as the current through the individual cell is not constant when cells are connected in parallel. Considering these challenges, this paper presents a novel method to set up three-electrode cells by using the battery’s casing as a reference electrode for building a three-electrode battery pack. This work is a continuation of the authors’ previous research. An unknown input observer (UIO) is employed to estimate the anode SOC of an individual battery in the battery pack. To ensure the stability of a defined Lyapunov function, the UIO parameter matrices are expressed as a linear matrix inequality (LMI). The anode SOC of a lithium nickel manganese cobalt oxide (NMC) battery is estimated by using the standard graphite potential (SGP) and state of lithiation (SOL) characteristic curve. The anode capacity is then calculated by using the total charge transferred in a charging cycle and the estimated SOC of the anode. The degradation of the battery is then evaluated by comparing the capacity fading of the anode to the total charge carried to the cell. The proposed method can estimate the anode SOC and capacity fade of an individual battery in a battery pack, which can monitor the degradation of the individual batteries and the battery pack in real time. By using the proposed method, we can identify the over-degraded batteries in the pack for remaining useful life analysis on the battery.
Tracking and Rejection of Biased Sinusoidal Signals Using Generalized Predictive Controller
Authors: Cordero Raymundo , Estrabis Thyago , Gentil Gabriel , Caramalac Matheus , Suemitsu Walter , Onofre João , Brito Moacyr , dos Santos Juliano
Published: August 2022

Some novel applications require the tracking/rejection of biased sinusoidal reference/distur-bances. According to the internal model principle (IMP), a controller must embed the model of a biased sinusoidal signal to track references and also reject perturbations modeled through the aforementioned signal. However, the design of that kind of controller is not straightforward, especially when they are implemented in digital processors. This paper presents a controller, based on generalized predictive control (GPC), designed for tracking/rejection of biased sinusoidal signals. In general, GPC is based on the prediction of the plant responses through an augmented prediction model. The proposed approach develops an augmented model that predicts the future errors. The prediction model and the control law used in the proposed approach embed the discrete-time model of a biased sinusoidal signal. Thus, the proposed controller can track/reject biased sinusoidal references/disturbances. The predicted errors and the future inputs of the proposed augmented model are used to define the cost function that measures the control performance. An optimization technique was applied to obtain the solution of the cost function, which is the optimal sequence of future model inputs that allows defining the control law. Experimental tests prove that the proposed controller can asymptotically track and reject biased sinusoidal signals.
Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades
Authors: Wang Wenjie , Xue Yu , He Chengkuan , Zhao Yongnian
Published: August 2022

With global warming and the depletion of fossil energy sources, renewable energy is gradually replacing non-renewable energy as the main energy in the future. As one of the fastest growing renewable energy sources, the safety and reliability of wind energy have been paid more and more attention. The size of modern wind turbines is becoming larger and larger. As the main component of wind turbines to capture energy, the blade is often damaged by various complex environments and irregular loads. Therefore, the health monitoring and damage identification of wind turbine blades have become a main research focus. At present, in addition to the overview of various detection methods of wind turbine blades, there is a lack of comprehensive classifications and overviews of the main damage types, damage-generation mechanisms, and basic principles of the damage-detection technology of wind turbine blades. In this paper, firstly, the common fault types of wind turbine blades, such as trailing edge cracking, lightning strike, leading edge corrosion pollution, icing, and delamination, as well as their generation mechanism, are comprehensively analyzed. Then, the basic principles and the latest research progress of the current main detection technologies, such as vision, ultrasonic, thermal imaging, vibration, acoustic emission, and so on, are comprehensively reviewed. The advantages and limitations of the various detection technologies for practical application are summarized. Finally, through a comparative analysis of the various damage-detection technologies, we try to find potential future research directions, and draw conclusions. This paper will provide a reference for understanding the mechanism behind the main damage types and the damage-detection methods of wind turbine blades. It has important reference value for further promoting practical research of wind turbine blade damage-detection technology and grasping this research direction.
Remote Sensing Image-Based Analysis of the Urban Heat Island Effect in Bragança, Portugal
Authors: Almeida Cátia Rodrigues de , Furst Leonardo , Gonçalves Artur , Teodoro Ana Cláudia
Published: August 2022

Urban Heat Islands increase surface temperatures which impact the health and well-being of urban populations. Radiative forcing is impacted by changes to the land surface associated with urbanization that are particularly significant immediately after sunset. This paper aimed to analyze the behavior of UHI in different Local Climate Zones (LCZ) in Bragança city (Portugal), using Air Temperature (Ta), satellite images (Landsat 8), and on-site data. The methodology included a seasonal approach, integrating data with different scales (spatial, radiometric, and spectral) and qualitative and quantitative analyses. Google Earth Engine (GEE) optimized the processing time and computation requirement to generate the Land Surface Temperature (LST) maps. The integration of data with different scales corroborated the complementation of information/analysis and detected the correlation between the Ta and LST. However, the identification of the UHI was compromised due to the time of the passage of Landsat 8, and it was identified as the Urban Cool Island (UCI), a complementary effect of UHI, supporting the results of previous studies and for the use of Remote Sensing (RS) for thermal effects analysis.
Evaluation of the Maximum Strain for Different Steel-FRCM Systems in RC Beams Strengthened in Flexure
Authors: Bencardino Francesco , Nisticò Mattia
Published: August 2022

The strengthening of existing reinforced concrete (RC) structures by means of steel-fabric reinforced cementitious matrix (Steel-FRCM) systems has been universally recognized in the academic literature as an effective method. Several types of steel fibres can be found in the marketplace, and they are classified according to mass per unit area and tensile strength. In the flexural strengthening design of RC beams, a fundamental parameter is the effective tensile strain level in the Steel-FRCM system attained at failure. Some authors and guidelines suggest evaluating this strain value using the results of bond tests. As is well highlighted in many works, the debonding strain in Steel-FRCM composites applied on concrete beams is usually higher than that from single-lap shear tests. At this point, it can be easily obtained by applying an appropriate amplification coefficient. This study experimentally investigates the difference in the debonding strain between Steel-FRCM composites bonded to concrete blocks in single-lap shear tests (end strain) versus the debonding strain in concrete beams (intermediate strain). The results were used to critically discuss the variability of the amplification coefficient, significantly affected by the mechanical and geometrical properties of the steel fibres. Moreover, a simple predictive formula to evaluate the intermediate strain debonding was used, and the results were compared with the experimental evidence. Finally, a large database of direct shear and flexural tests was used to confirm the experimental and theoretical data obtained herein.
Barite-Free Muds for Drilling-in the Formations with Abnormally High Pressure
Authors: Leusheva Ekaterina , Alikhanov Nazim , Morenov Valentin
Published: August 2022

This paper discusses problems associated with water-based drilling fluids used for drilling formations with abnormally high pressure. The available solutions are suitable for a narrow range of applications, especially when weighted muds should be used. This paper reviews the experience of searching and developing a new type of drilling mud based on saturated brines. With the referenced papers as the basis, the authors developed compositions of such brine-based drilling muds. A distinctive feature of the considered compositions is the absence of barite, which is often used as a weighting agent. The paper presents a methodology for creating and investigating the proposed drilling fluids. The rheological properties and thermal stability of the muds at various temperatures were studied. The results show that proposed drilling fluids can be efficiently used for drilling formations with abnormally high pressure. It is assumed that the developed muds have greater versatility than analogues.
Dimethyl Dicarbonate as a Food Additive Effectively Inhibits Geotrichum citri-aurantii of Citrus
Authors: Liu Shuqi , Zhang Deyao , Wang Yuqing , Yang Fan , Zhao Juan , Du Yujie , Tian Zhonghuan , Long Chaoan
Published: August 2022

Dimethyl dicarbonate (DMDC), a food additive, can be added to a variety of foods as a preservative. This study aimed to evaluate the inhibitory effects of DMDC on Geotrichum citri-aurantii in vitro and in vivo, as well as the potential antifungal mechanism. In vitro experiments showed that 250 mg/L DMDC completely inhibited the growth of G. citri-aurantii and significantly inhibited spore germination by 96.33%. The relative conductivity and propidium iodide (PI) staining results showed that DMDC at 250 mg/L increased membrane permeability and damaged membrane integrity. Malondialdehyde (MDA) content and 2, 7-Dichlorodihydrofluorescein diacetate (DCHF-DA) staining determination indicated that DMDC resulted in intracellular reactive oxygen species (ROS) accumulation and lipid peroxidation. Scanning electron microscopy (SEM) analysis found that the mycelia were distorted and the surface collapsed after DMDC treatment. Morphological changes in mitochondria and the appearance of cavities were observed by transmission electron microscopy (TEM). In vivo, 500 mg/L DMDC and G. citri-aurantii were inoculated into the wounds of citrus. After 7 days of inoculation, DMDC significantly reduced the disease incidence and disease diameter of sour rot. The storage experiment showed that DMDC treatment did not affect the appearance and quality of fruits. In addition, we found that DMDC at 500 mg/L significantly increased the activity of citrus defense-related enzymes, including peroxidase (POD) and phenylalanine ammonia-lyase (PAL). Therefore, DMDC could be used as an effective method to control citrus sour rot.
Types of Nursing Intervention to Reduce Impact of Bullying and Aggression on Nurses in the Workplace
Authors: Yosep Iyus , Hikmat Rohman , Mardhiyah Ai
Published: August 2022

The bullying of nurses in the workplace hurts the individuals and the work environment. Bullying can cause mental health problems, reduces the quality of nursing services, and reduces patient safety. The purpose of this study was to describe types of nursing interventions to reduce impact of bullying on nurses in the workplace. This study used the scoping review method to examine literature from the CINAHL, PubMed, and ProQuest databases. The keywords used in English are “bullying OR cyberbullying” AND “nurse” AND “workplace OR work-place” AND “nursing care OR nursing intervention”. The inclusion criteria were full text, randomized control trial or quasi-experiment design, English language, population of nurses, and the publication period of the last 10 years (2013–2022). We found nine articles that discussed nursing interventions designed to reduce the impact of bullying on nurses in the workplace. The sample in the study was in the range of 26–97 respondents. Most of the articles in this review used the quasi-experiment method. The study showed that nursing interventions to heal had negative effects on the bullying on nurses. There are three types of interventions employed to reduce the impact of bullying and aggression on nurses in the workplace, namely training programs, cognitive rehearsal programs, and education programs.
The Radiographic Assessment of Furcation Area in Maxillary and Mandibular First Molars while Considering the New Classification of Periodontal Disease
Authors: Alasqah Mohammed , Alotaibi Fahad Dhaifallah , Gufran Khalid
Published: August 2022

This study aimed to evaluate the radiographic reliability in the diagnosis of furcation involvement in first molars. A total of 52 subjects were included in the current study. Personal history regarding smoking was recorded and a periodontal examination was performed. Pocket depth (PD), clinical attachment level (CAL), gingival recession, and furcation involvement in all first molars were assessed for each patient. Periodontal staging and grading were evaluated using the new classification of periodontal disease. Class II and Class III furcation classification were more frequently observed in radiographs than the Class I furcation; however, no significant differences were observed. Radiographic observation of the furcation was seen more when PD and CAL were >5 mm in all molars. The presence of gingival recession and its relation to the radiographic assessment did not reveal any statistically significant association (p > 0.05) except for tooth #16. The trend of visibility of furcation radiographically was more as the grade of staging was increased. Moreover, the presence of smoking habits and visibility of furcation radiographically did not have any statistical significance. Smoking may not be a factor in the furcation involvement. There is a direct relationship between the staging and grading of the periodontitis and furcation involvement.
Probabilistic Risk Assessment of Dietary Exposure to Cadmium in Residents of Guangzhou, China—Young Children Potentially at a Health Risk
Authors: Mhungu Florence , Chen Kuncai , Wang Yanyan , Liu Yufei , Zhang Yuhua , Pan Xinhong , Cheng Yanfang , Liu Yungang , Zhang Weiwei
Published: August 2022

Cadmium (Cd) and its compounds are hazardous environmental pollutants with renal toxicity and human carcinogenicity, with ingestion of contaminated foods representing the major mode of exposure. There have been a number of reports evaluating the Cd content in various foods; however, regarding the actual risk posed by dietary cadmium exposure, only a few reports are available in which single point evaluation (less accurate than multiple point evaluation) was employed. In this study, we used a margin of exposure (MOE) model and @RISK software (for multiple evaluation) to evaluate Cd-related health risk in the local Guangzhou residents at varying ages, through a comparison between the estimated monthly exposures and the provisional tolerable monthly intake (0.025 mg/kg body weight (b.w.)), based on the Cd contents in various food categories available locally (a total of 3964 food samples were collected from each of the 13 districts of Guangzhou between 2015 and 2019), which were determined by using inductively coupled plasma mass spectrometry. In this study, Cd was detected in 69.6% of the samples (averaged 0.120 mg/kg), and rice and its products, leafy vegetables, bivalves, and shrimp and crabs contributed most to Cd exposure (8.63, 3.18, 2.79, and 1.48 ng/kg b.w./day, respectively). The MOE values demonstrated the following tendency: the younger age group, the lower MOE, and its 95% confidence range for the (youngest) 3~6 year old group started from 0.92, indicating a health risk of young children, while that for the other age groups were all above 1.0. Our preliminary findings warrant further clarification using biomarker assays in the relevant population.
Comparing Peak Burn Injury Times and Characteristics in Australia and New Zealand
Authors: Hong Rebecca , Perkins Monica , Gabbe Belinda J. , Tracy Lincoln M.
Published: August 2022

Burns are a leading cause of morbidity and mortality worldwide. Understanding when and how burns occur, as well as the differences between countries, would aid prevention efforts. A review of burn injuries occurring between July 2009 and June 2021 was undertaken using data from the Burns Registry of Australia and New Zealand. Peak injury times were identified on a country-by-country basis. Variations in demographic and injury event profiles between countries were compared using descriptive statistics. There were 26,925 admissions recorded across the two countries (23,323 for Australia; 3602 for New Zealand). The greatest number of injuries occurred between 6 PM to 7 PM in Australia (1871, 8.0%) and between 5 PM to 6 PM in New Zealand (280, 7.8%). In both countries, scalds accounted for the greatest proportion of injuries during peak times (988, 45.8%), but a greater proportion of young children (under three years) sustained burns during New Zealand’s peak times. The number of burn injuries associated with the preparation and/or consumption of food offers an opportunity for a targeted prevention program that may yield benefits across the two countries. Age- and mechanism-related differences in the profile of burn-injured patients need to be considered when developing and implementing such a program.
Transactions between Problem Behaviors and Academic Performance in Early Childhood
Authors: Chen Chin-Chih , Cheng Sheng-Lun , Xu Yaoying , Rudasill Kathleen , Senter Reed , Zhang Fa , Washington-Nortey Melissa , Adams Nikki
Published: August 2022

This study aimed to further the understanding of transactional relationships that exist between problem behaviors and academic performance in early childhood. Early academic and behavior difficulties increase the risk of school disengagement, academic failure, and dropout. Although children’s academic and behavioral difficulties have been shown to be intercorrelated, little research has focused on how the relationship reciprocates and progresses in early childhood. This study investigated how problem behaviors (i.e., externalizing and internalizing) influence and are influenced by academic performance (i.e., poor reading and math) from kindergarten to third grade. Participants included 18,135 students (51.22% boys) derived from a nationally representative sample in the Early Childhood Longitudinal Study, Kindergarten Class of 2011 (ECLS-K: 2011). Teacher ratings of children’s internalizing (low self-esteem, anxiety, loneliness, or sadness) and externalizing (fighting, arguing, showing anger, impulsively acting, and disruptive behaviors) problem behaviors, as well as direct assessments of children’s academic performance (reading and math), were collected yearly. Cross-lagged panel modeling (CLPM) was employed to examine reciprocal relationships between problem behaviors and academic performance over time from kindergarten to third grade. The results supported the transactional relationships in early childhood, with higher externalizing as well as internalizing problem behaviors predicting lower academic performance and lower academic performance predicting higher externalizing and internalizing problem behaviors. The implications for research, prevention, and early intervention regarding the progression of academic and behavioral problems are discussed.
Perceptions and Experiences of Adolescents with Mental Disorders and Their Parents about Psychotropic Medications in Turkey: A Qualitative Study
Authors: Dikec Gül , Kardelen Cansın , Pilz González Laura , Mohammadzadeh Marjan , Bilaç Öznur , Stock Christiane
Published: August 2022

This descriptive phenomenological study aimed to evaluate the perception and experiences of adolescents with mental disorders and their parents about the use of and adherence to psychotropic medications. A total of 12 semi-structured interviews with adolescents between the ages of 12 to 18 who were attending an outpatient psychiatric clinic for children and adolescents and 12 interviews with parents were conducted between October 2021 and January 2022 in Manisa, Turkey. Colaizzi’s phenomenological interpretation method was used for the analysis of the participants’ statements. Our study highlights the main positive effects of psychotropic medication and barriers to medication intake and adherence. Positive effects included symptom management and health improvement. Barriers varied from those directly linked to medication effects (e.g., negative side effects or lack of perceived effect) to personal barriers (e.g., forgetting to take medication or feelings of not being oneself due to medication intake) and societal barriers. In general, the barriers were reflected in concerns related to long-term consequences, such as medication dependence, and in concerns about diminished life prospects. Possible recommendations to improve the use of and adherence to psychotropic medication among adolescents include educating adolescents and parents not only about treatment options but also about mental disorders.
The Moderating Role of Psychological Flexibility on the Association between Distress-Driven Impulsivity and Problematic Internet Use
Authors: Liu Chang , Rotaru Kristian , Chamberlain Samuel R. , Ren Lei , Fontenelle Leonardo F. , Lee Rico S. C. , Suo Chao , Raj Kavya , Yücel Murat , Albertella Lucy
Published: August 2022

Background: Problematic internet use is receiving increasing attention in the addiction field, yet the mechanisms driving such behaviours remain unclear. Previous research has shown that impulsivity- and compulsivity-related constructs may interactively contribute to a range of problematic behaviours. The current study examined whether distress-driven impulsivity and psychological flexibility may interactively contribute to problematic internet use, which has not been addressed in prior literature. Method: Two hundred and one participants completed an online survey. Bootstrapped moderation analysis was conducted to examine the collected data on distress-driven impulsivity, psychological flexibility, and their interaction in relation to problematic internet use. Results: The interaction between distress-driven impulsivity and psychological flexibility was significantly related to problematic internet use. Simple slope tests confirmed that distress-driven impulsivity was associated with problematic internet use among individuals with low flexibility levels. Conclusions: Our findings highlight the moderating role of psychological inflexibility in the association between distress-driven impulsivity and problematic internet use. Prevention and/or early interventions for problematic internet use should consider targeting psychological inflexibility and distress-driven impulsivity.
Prevalence, Predictors, and Experience of Moral Suffering in Nursing and Care Home Staff during the COVID-19 Pandemic: A Mixed-Methods Systematic Review
Authors: Laher Zainab , Robertson Noelle , Harrad-Hyde Fawn , Jones Ceri R.
Published: August 2022

(1) Background: Nursing and care home staff experienced high death rates of older residents and increased occupational and psychosocial pressures during the COVID-19 pandemic. The literature has previously found this group to be at risk of developing mental health conditions, moral injury (MI), and moral distress (MD). The latter two terms refer to the perceived ethical wrongdoing which contravenes an individual’s moral beliefs and elicits adverse emotional responses. (2) Method: A systematic review was conducted to explore the prevalence, predictors, and psychological experience of MI and MD in the aforementioned population during the COVID-19 pandemic. The databases CINAHL, APA PsychINFO, APA PsychArticles, Web of Science, Medline, and Scopus were systematically searched for original research studies of all designs, published in English, with no geographical restrictions, and dating from when COVID-19 was declared a public health emergency on the 30 January 2020 to the 3 January 2022. Out of 531 studies screened for eligibility, 8 studies were selected for review. A thematic analysis was undertaken to examine the major underpinning themes. (3) Results: MI, MD, and related constructs (notably secondary traumatic stress) were evidenced to be present in staff, although most studies did not explore the prevalence or predictors. The elicited major themes were resource deficits, role challenges, communication and leadership, and emotional and psychosocial consequences. (4) Conclusions: Our findings suggest that moral injury and moral distress were likely to be present prior to COVID-19 but have been exacerbated by the pandemic. Whilst studies were generally of high quality, the dearth of quantitative studies assessing prevalence and predictors suggests a research need, enabling the exploration of causal relationships between variables. However, the implied presence of MI and MD warrants intervention developments and workplace support for nursing and care home staff.
What Builds Resilience? Sociodemographic and Social Correlates in the Population-Based LIFE-Adult-Study
Authors: Weitzel Elena Caroline , Glaesmer Heide , Hinz Andreas , Zeynalova Samira , Henger Sylvia , Engel Christoph , Löffler Markus , Reyes Nigar , Wirkner Kerstin , Witte A. Veronica , Villringer Arno , Riedel-Heller Steffi G. , Löbner Margrit
Published: August 2022

Resilience is closely related to mental health and well-being. Identifying risk groups with lower resilience and the variables associated with resilience informs preventive approaches. Previous research on resilience patterns in the general population is heterogeneous, and comprehensive large-scale studies are needed. The aim of our study is to examine sociodemographic and social correlates of resilience in a large population-based sample. We examined 4795 participants from the LIFE-Adult-Study. Assessments included resilience (RS-11), social support (ESSI), and social network (LSNS), as well as the sociodemographic variables age, gender, marital status, education, and occupation. The association of resilience with sociodemographic and social correlates was examined using linear regression analyses. Higher resilience was associated with female gender, married marital status, high education, and full-time occupation. Social support and social network were positively associated with resilience. Our results implicate that resilience is related to various sociodemographic variables. Social variables seem to be particularly important for resilience. We identified risk groups with lower resilience, which should be given special attention by public health policies, especially in times of crisis. Reducing loneliness and promoting social connectedness may be promising ways to build resilience in the general population.
Injurious Memories from the COVID-19 Frontline: The Impact of Episodic Memories of Self- and Other-Potentially Morally Injurious Events on Romanian Nurses’ Burnout, Turnover Intentions and Basic Need Satisfaction
Authors: Gherman Mihaela Alexandra , Arhiri Laura , Holman Andrei Corneliu , Soponaru Camelia
Published: August 2022

Nurses have been frequently exposed to Potentially Morally Injurious Events (PMIEs) during the COVID-19 pandemic. Due to resource scarcity, they both perpetrated (self-PMIEs) and passively witnessed (other-PMIEs) moral transgressions toward the patients, severely violating their moral values. Our study investigated the impact of self- and other-PMIEs on work outcomes by exploring nurses’ episodic memories of these events and the basic psychological need thwarting associated with them. Using a quasi-experimental design, on a convenience sample of 463 Romanian nurses, we found that PMIEs memories were uniquely associated with burnout and turnover intentions, after controlling for socio-demographic characteristics, general basic psychological need satisfaction at work and other phenomenological characteristics. Both self- and other-PMIEs memories were need thwarting, with autonomy and competence mediating their differential impact on burnout, and with relatedness—on turnover intentions. Our findings emphasize the need for organizational moral repair practices, which should include enhancing nurses’ feelings of autonomy, relatedness and competence. Psychological counseling and psychotherapy should be provided to nurses to prevent their episodic memories of PMIEs to be (fully) integrated in autobiographical knowledge, because this integration could have severe consequences on their psycho-social function and occupational health, as well as on the organizational climate in healthcare institutions.
Fog–Haze Transition and Drivers in the Coastal Region of the Yangtze River Delta
Authors: Lyu Rui , Gao Wei , Peng Yarong , Qian Yijie , He Qianshan , Cheng Tiantao , Yu Xingna , Zhao Gang
Published: August 2022

Low-visibility events (LVEs) are severe weather phenomena that are closely linked with anthropogenic pollution, which negatively affects traffic, air quality, human health, and the environment. This study conducted a two-month (from October to December 2019) continuous measurement campaign on Chongming Island in Shanghai to characterize the LVEs transition and its drivers. The LVEs accounted for 38% of the time during the campaign, of which mist accounted for 14%, fog–haze for 13%, haze for 6%, and fog for 5%. The fog and mist mainly occurred from midnight to early morning, while haze mostly occurred during the daytime. Different LVEs were interdependent and transitioned from one to another. Fog generally turned into haze after sunrise, while haze turned into fog after sunset. Their formation and evolution were caused by the combined impacts of meteorological conditions and aerosol particles. It was found that temperature difference was the dominant meteorological factor driving the evolution of LVEs. Within the short term, cooling led to a greater increase in relative humidity than humidification. Radiative cooling during the night promoted the formation of fog and mist. During fog and mist events, cloud condensation nuclei (CCN) were mainly internally mixed due to the impact of fog droplet removal and aqueous/heterogeneous aerosol reactions occurring under high humidity. Increased CCN concentration appeared to increase the fog droplet number and liquid water content in fog events. Overall, conditions of high humidity and high particle loading were conducive to LVEs, whereas conditions of sufficient water vapor at a low particle level and sufficient particles at a low humidity level also caused LVEs. This study provided insights into LVEs classification, evolution scheme, and aerosol roles from a micro point of view. The findings could be useful for improving forecasts of local radiative fog and other LVEs.
The COVID-19 Pandemic in Care Homes: An Exploration of Its Impact across Regions in Spain
Authors: Benet Marta , Celi-Medina Patricia , Fernández Montserrat , Ezquerra Sandra
Published: August 2022

This article provides an updated picture of the enormous consequences that the first wave of the COVID-19 pandemic (March–June 2020) had for older adults living in Spanish care homes. It aims to describe the regional variation in deaths among home care residents through a methodological triangulation of descriptive quantitative, ecological and documentary analysis. Figures of five different indicators of care home mortality are provided and some factors related to higher mortality rates are presented and analysed in the descriptive ecological analysis in order to depict trends and, in a linear regression, to determine their statistical significance. The clearest trend reflected by the data is that the higher the cumulative incidence and the number of care home beds in the surrounding area, the higher the COVID-19 care home mortality. We argue that the pandemic has brought to light the historical fragility and underdevelopment of the Spanish LTC sector, and that these factors have exacerbated the consequences of the pandemic. Finally, we conclude that publicly available and disaggregated data would allow a deeper and more accurate analysis of potentially explanatory factors such as the type of care home ownership and management, and that further qualitative research would shed more light on people’s experiences.
Relationship between Preventive Health Behavior, Optimistic Bias, Hypochondria, and Mass Psychology in Relation to the Coronavirus Pandemic among Young Adults in Korea
Authors: Lee Dong-Suk , Koo Hyun-Ju , Choi Seung-Ok , Kim Ji-In , Kim Yeon Sook
Published: August 2022

The great challenge to global public health caused by the coronavirus pandemic has lasted for two years in Korea. However, Korean young adults seem less compliant with preventive health behaviors than older adults. This study aims to explore the relationship between risk perception variables of optimistic bias, hypochondriasis, and mass psychology, and preventive health behavior in relation to the coronavirus pandemic through a cross-sectional online survey. The participants are 91 Korean young adults aged 19–30. The results show that mass psychology has a positive relationship with preventive health behavior, whereas optimistic bias and hypochondriasis do not. In detail, people with high or middle levels of mass psychology displayed higher preventive health behavior compared with those who had low levels of mass psychology, and the highest compliance was for wearing a mask, followed by COVID-19 vaccination, whereas the lowest compliance was for influenza vaccination. These findings could be explained by the Korean culture of strong collectivism and the characteristics of COVID-19, which evoked extreme fear globally. The results of this study can be useful for policy establishment in the ongoing prevention of COVID-19 and suggest that mass psychology should be used effectively in planning preventive communication campaigns.
Overexpression of miR-125a-5p Inhibits Hepatocyte Proliferation through the STAT3 Regulation In Vivo and In Vitro
Authors: Zhang Chunyan , Zhao Yabin , Wang Qiwen , Qin Jianru , Ye Bingyu , Xu Cunshuan , Yu Guoying
Published: August 2022

microRNAs (miRNAs) are critically involved in liver regeneration (LR). miR-125a-5p (miR-125a) is a tumor-suppressing miRNA, but its role in LR has not been studied. Our previous studies have proved that miR-125a was related to LR at the initiation phase, while the mechanism hepatocyte proliferation triggered by miR-125a in LR has been rarely evaluated. Herein, we mainly studied the molecular mechanism of miR-125a in triggering hepatocyte proliferation and the proliferation stage of LR. Firstly, a striking reduction of miR-125a was found at 24 h as well as 30 h following partial hepatectomy (PH) in rat liver tissue by miRNAs expression profiles as well as qRT-PCR analysis. Furthermore, in vitro, upregulation of miR-125a decreased proliferation as well as G1/S conversion, which promoted hepatocytes apoptosis. STAT3 was the target of miR-125a. In vivo, upregulation of miR-125a by tail vein injection of agomir inhibited LR index. Upregulation of miR-125a inhibited LR index and hepatocytes proliferation by STAT3/p-STAT3/JUN/BCL2 axis. In summary, these current discoveries indicated that miR-125a inhibited hepatocytes proliferation as well as LR by targeting STAT3 and via acting on the STAT3/p-STAT3/JUN/BCL2 axis.
Recent Advances and Future Directions in Downstream Processing of Therapeutic Antibodies
Authors: Matte Allan
Published: August 2022

Despite the advent of many new therapies, therapeutic monoclonal antibodies remain a prominent biologics product, with a market value of billions of dollars annually. A variety of downstream processing technological advances have led to a paradigm shift in how therapeutic antibodies are developed and manufactured. A key driver of change has been the increased adoption of single-use technologies for process development and manufacturing. An early-stage developability assessment of potential lead antibodies, using both in silico and high-throughput experimental approaches, is critical to de-risk development and identify molecules amenable to manufacturing. Both statistical and mechanistic modelling approaches are being increasingly applied to downstream process development, allowing for deeper process understanding of chromatographic unit operations. Given the greater adoption of perfusion processes for antibody production, continuous and semi-continuous downstream processes are being increasingly explored as alternatives to batch processes. As part of the Quality by Design (QbD) paradigm, ever more sophisticated process analytical technologies play a key role in understanding antibody product quality in real-time. We should expect that computational prediction and modelling approaches will continue to be advanced and exploited, given the increasing sophistication and robustness of predictive methods compared to the costs, time, and resources required for experimental studies.
Tyro3 Targeting as a Radiosensitizing Strategy in Bladder Cancer through Cell Cycle Dysregulation
Authors: Silina Linda , Dufour Florent , Rapinat Audrey , Reyes Cécile , Gentien David , Maksut Fatlinda , Radvanyi François , Verrelle Pierre , Bernard-Pierrot Isabelle , Mégnin-Chanet Frédérique
Published: August 2022

Bladder cancer is a common cancer; it is the tenth most common cancer in the world. Around one fourth of all diagnosed patients have muscle-invasive bladder cancer (MIBC), characterized by advanced tumors and which remains a lethal disease. The standard treatment for MIBC is the bladder removal by surgery. However, bladder-preserving alternatives are emerging by combining chemotherapy, radiotherapy and minimal surgery, aiming to increase the patient’s quality of life. The aim of the study was to improve these treatments by investigating a novel approach where in addition to radiotherapy, a receptor, TYRO3, a member of TAM receptor tyrosine kinase family known to be highly expressed on the bladder cancer cells and involved in the control of cell survival is targeted. For this, we evaluated the influence of TYRO3 expression levels on a colony or cell survival assays, DNA damage, γH2AX foci formation, gene expression profiling and cell cycle regulation, after radiation on different bladder cell models. We found that TYRO3 expression impacts the radiation response via the cell cycle dysregulation with noeffets on the DNA repair. Therefore, targeting TYRO3 is a promising sensitization marker that could be clinically employed in future treatments.