bluuebunny/crossref_metadata_2025 huggingface dataset:
The relationship between critical life events, psycho-emotional health and life satisfaction among youths: coping mechanisms and emotional regulation
Authors: Marc Gabriela , Mitrofan Laurențiu , Vlad Camelia-Iulia-Maria
Published: January 2024

Objective

Several studies in the specialized literature have reported that events such as the death of a loved one, job loss, divorce, illness, or retirement lead to an increase in the level of stress felt, and subsequently stress affects the person on several levels of life, such as: personal, relational, social, academic and at the same time sanogenic. The present paper explored the relationship between critical life events and psycho-emotional health among youths and the manner in which this relationship is mediated by the level of life satisfaction.

Methods

The data was extracted using a sample of participants (between 20 and 40 years old) from several cities in Romania, who experienced one or more critical life events during the last year. Data organization and hypothesis testing were performed using IBM SPSS 23 and jamovi programs. For this purpose we used the simple regression analysis, Pearson correlation and mediation analysis. The scales used to conduct the research were: RS-14, SRRS, ERQ, CERQ, DASS-21 and SWLS.

Results

The final sample of the study totaled 190 female and male Romanian participants aged between 20 and 40 (M = 24.45, SD = 5.27) who had experienced critical events during the last year, leading to psycho-emotional destabilization and a significantly lower level of life satisfaction. The prevalence of critical life events among these participants varied from one to five events (55.26%) and up to more than 16 critical events in the past year (2.63%). The presence of these events led to increased levels of stress, anxiety, or depression among participants. Furthermore, it appears that the presence of a high number of critical life events led to a decreased life satisfaction among participants, along with a greater tendency toward catastrophizing.

Conclusion

Critical life events are increasingly frequent events in everyday life, and youth seems to be the period with the most changes. The research findings add to current findings about the practical implications that critical life events have on psycho-emotional health among youths. Therefore it appears to be a close relationship between critical life events, psycho-emotional health, and emotional regulation. At the same time, it seems that coping mechanisms have a central role in the level of life satisfaction among youths.
To be like a “scholar”: a study on the construction of authorial identity of Chinese EFL learners in academic writing: an intertextuality perspective
Authors: Zhang Lei , Wang Jing
Published: January 2024

Academic writing not only conveys academic content but also represents the authorial identity, serving as a means of presenting one’s identity. Writers utilize various linguistic resources to present different possibilities of self, such as intertextuality, thereby constructing their authorial identity. This study examines the Chinese EFL learners’ construction of authorial identity in academic writing from an intertextuality perspective. This study adopts a mixed method, utilizing interviews and written texts as data sources. Results were found that novice writers primarily construct their identities through the practices of direct intertextuality during the initial stages of identity construction. As novice writers gain more experience through extensive reading and writing practices, as well as academic writing courses, their intertextuality practices undergo a transformation. They begin to shift from direct intertextuality to indirect intertextuality, aiming to express their own conceptions, attempting to be like a “scholar” through indirect intertextuality. The study highlights the importance of intertextuality in the construction of academic writing identity for EFL learners. By understanding the interplay between intertextuality and authorial identity, educators can better assist EFL learners in achieving success in their academic writing endeavors.
How are you coping? Stress, coping, burnout, and aggression in forensic mental healthcare workers
Authors: Spaan Pascalle , van den Boogert Frank , Bouman Yvonne H. A. , Hoogendijk Witte J. G. , Roza Sabine J.
Published: January 2024

Introduction

Perceived stress at work has been linked to several adverse outcomes in workers, including increased risk of burnout and aggression (e.g., anger and irritability). However, much remains unknown about factors that might mitigate the negative influences of perceived stress on workers’ well-being. This study focusses on coping as a possible protective factor against perceived stress and its consequences in forensic mental healthcare workers. We aimed to identify which higher-order coping factors were present in this worker sample and to investigate whether these coping factors modify the associations between perceived stress and burnout or aggression.

Methods

For this observational survey study, 116 forensic mental healthcare workers completed questionnaires assessing changes in work situation since the start of COVID-19, perceived stress, coping, burnout symptoms, and aggression.

Results

Results from principal component analysis indicated that four higher-order coping factors could be distinguished: social support and emotional coping, positive cognitive restructuring, problem-focused coping, and passive coping. Higher perceived stress levels were associated with higher levels of both burnout and aggression in workers. Problem-focused coping was associated with less burnout symptoms in workers. Furthermore, positive cognitive restructuring was associated with less aggression in workers.

Discussion

In conclusion, problem-focused coping and positive cognitive restructuring may protect workers against burnout symptoms and aggression and these results may inform future studies on preventive interventions aimed at promoting worker’s well-being.
Effect of changes in the net height, court size, and serve limitations on technical-tactical, physical, and psychological aspects of U-14 female volleyball matches
Authors: Palao Jose M. , Ureña Aurelio , Moreno Maria P. , Ortega-Toro Enrique
Published: January 2024

Introduction

The objective was to analyze the effect of a reduction of the net height and the court size and serve limitations on the technical-tactical actions, physical actions, and psychological aspects in youth volleyball players.

Methods

The sample was 29 under-14 female volleyball players (three regional club teams). A quasi-experimental design was implemented to assess the effect of modification in three tournaments. The independent variables were: a) official rules tournament (no changes in the rules), b) Experimental Tournament 1 (reduction in the net height from 2.10 m to 2 m, no jump serves, and a maximum of two serves per player and rotation), and c) Experimental Tournament 2 (reduction in net height from 2.10 m to 2 m, reduction in court size from 9 × 9 m to 8 × 8 m, no jump serves, and a maximum of two serves per player and rotation). The dependent variables were: ball contact done (type), quality and efficacy of the technical actions, team game phases occurrence, quality and efficacy, continuity index, number of jumps, player's jump load in the take-off and landing, number of hits, average heart rate, Rate of Perceived Effort, time between ball contacts, serve velocity, perceived individual and collective self-efficacy, perceived enjoyment, and perceived satisfaction.

Results

Experimental Tournament 1 involved an increase in the efficacy of serves and a decrease in the efficacy of side-out phases. The imbalance between serve and reception did not impact game continuity but reduced the attack and blocks. Experimental Tournament 2 involved a decrease in the efficacy of serves and an increase in the efficacy of side-out phases. The balance between serve and reception increased reception efficacy, the occurrence of attacks and blocks, game continuity, and players' effort. players' effort.

Discussion

Scaling the net and court and adapting the serve rules (Experimental Tournament 2) resulted in game dynamics for these U-12 teams that were more similar to those of posterior stages of player through the balance between serve and reception and the adaptation of the net height and court size.
Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning
Authors: Tio Earvin S. , Misztal Melissa C. , Felsky Daniel
Published: January 2024

Background

Traditional approaches to modeling suicide-related thoughts and behaviors focus on few data types from often-siloed disciplines. While psychosocial aspects of risk for these phenotypes are frequently studied, there is a lack of research assessing their impact in the context of biological factors, which are important in determining an individual’s fulsome risk profile. To directly test this biopsychosocial model of suicide and identify the relative importance of predictive measures when considered together, a transdisciplinary, multivariate approach is needed. Here, we systematically review the emerging literature on large-scale studies using machine learning to integrate measures of psychological, social, and biological factors simultaneously in the study of suicide.

Methods

We conducted a systematic review of studies that used machine learning to model suicide-related outcomes in human populations including at least one predictor from each of biological, psychological, and sociological data domains. Electronic databases MEDLINE, EMBASE, PsychINFO, PubMed, and Web of Science were searched for reports published between August 2013 and August 30, 2023. We evaluated populations studied, features emerging most consistently as risk or resilience factors, methods used, and strength of evidence for or against the biopsychosocial model of suicide.

Results

Out of 518 full-text articles screened, we identified a total of 20 studies meeting our inclusion criteria, including eight studies conducted in general population samples and 12 in clinical populations. Common important features identified included depressive and anxious symptoms, comorbid psychiatric disorders, social behaviors, lifestyle factors such as exercise, alcohol intake, smoking exposure, and marital and vocational status, and biological factors such as hypothalamic-pituitary-thyroid axis activity markers, sleep-related measures, and selected genetic markers. A minority of studies conducted iterative modeling testing each data type for contribution to model performance, instead of reporting basic measures of relative feature importance.

Conclusion

Studies combining biopsychosocial measures to predict suicide-related phenotypes are beginning to proliferate. This literature provides some early empirical evidence for the biopsychosocial model of suicide, though it is marred by harmonization challenges. For future studies, more specific definitions of suicide-related outcomes, inclusion of a greater breadth of biological data, and more diversity in study populations will be needed.
Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia
Authors: Chen Li-Chang , Tan Wen-Yan , Xi Jun-Yan , Xie Xin-Hui , Lin Hai-Cheng , Wang Shi-Bin , Wu Gong-Hua , Liu Yu , Gu Jing , Jia Fu-Jun , Du Zhi-Cheng , Hao Yuan-Tao
Published: January 2024

Objective

To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia.

Methods

A sample of 1,664 patients with post-violence assessments and their propensity score–matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases.

Results

Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients.

Conclusion

The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.
Reciprocal effect between non-suicidal self-injury and depressive symptoms in adolescence
Authors: Hu Rui , Peng Li-Li , Du Yu , Feng Yi-Wei , Xie Lin-Shen , Shi Wei , Jia Peng , Jiang Li-Hua , Zhao Li
Published: January 2024

Background

Non-suicidal self-injury (NSSI) is a common psychological and behavioral problem among adolescents. The COVID-19 pandemic has had a significant impact on people’s mental health. To date, few studies have documented the temporal changes in adolescents’ psychological status during the pandemic, as well as the impact of large-scale public health intervention strategies. This study contributes to the existing evidence on the subject.

Methods

Participants were 6,023 adolescents aged 10 years and older, with data from two waves of longitudinal surveys, including data for a 7-month interval before and during the pandemic. A cross-lagged model was used to test the bidirectional relationship between NSSI and depressive symptoms in adolescents; logistic regression analysis was used to explore the predictors of NSSI implementation in adolescents with depressive symptoms.

Results

In this study, 32.69% participants reported depressive symptoms at baseline and 34.27% at follow-up; 44.34% participants with depressive symptoms reported NSSI at baseline and 53.44% at follow-up. The duration of the online class, depressed affect, and somatic and related activity were the risk factors for NSSI; sleep duration and positive mood were the protective factors. The lag effect of depression symptoms on NSSI is significant, and so is NSSI on depressive symptoms.

Conclusion

During the COVID-19 pandemic, adolescents’ mental health has worsened, resulting in an increase in the prevalence of NSSI among those with depressive symptoms compared to pre-pandemic levels. Early screening for depression is crucial in preventing or decreasing NSSI in adolescents.
Contrasted life trajectories: reconstituting the main population exposomes in French Guiana
Authors: Nacher Mathieu , Basurko Célia , Douine Maylis , Lambert Yann , Rousseau Cyril , Michaud Celine , Garlantezec Ronan , Adenis Antoine , Gomes Margarete M , Alsibai Kinan Drak , Sabbah Nadia , Lambert Véronique , Epelboin Loïc , Sukul Rakesh Gajadhar , Terlutter Fredrik , Janvier Caroline , Hcini Najeh
Published: January 2024

In French Guiana, life expectancy is between 2 and 3 years below that of France, reflecting differences in mortality rates that are largely sensitive to primary healthcare and thus preventable. However, because poverty affects half of the population in French Guiana, global measurements of life expectancy presumably conflate at least two distinct situations: persons who have similar life expectancies as in mainland France and persons living in precariousness who have far greater mortality rates than their wealthier counterparts. We thus aimed to synthesize what is known about statistical regularities regarding exposures and sketch typical French Guiana exposomes in relation to health outcomes. We conducted a narrative review on common exposures in French Guiana and made comparisons between French Guiana and mainland France, between rich and poor in French Guiana, and between urban and rural areas within French Guiana. The most striking fact this panorama shows is that being a fetus or a young child in French Guiana is fraught with multiple threats. In French Guiana, poverty and poor pregnancy follow-up; renouncing healthcare; wide variety of infectious diseases; very high prevalence of food insecurity; psychosocial stress; micronutrient deficiencies; obesity and metabolic problems; and frequent exposure to lead and mercury in rural areas constitute a stunningly challenging exposome for a new human being to develop into. A substantial part of the population’s health is hence affected by poverty and its sources of nutrition.
Gender differences, environmental pressures, tumor characteristics, and death rate in a lung cancer cohort: a seven-years Bayesian survival analysis using cancer registry data from a contaminated area in Italy
Authors: Mincuzzi Antonia , Carone Simona , Galluzzo Claudia , Tanzarella Margherita , Lagravinese Giovanna Maria , Bruni Antonella , Rashid Ivan , Bisceglia Lucia , Sardone Rodolfo , Addabbo Francesco , Minerba Sante , Giannico Orazio Valerio
Published: January 2024

Introduction

In Taranto, Southern Italy, adverse impacts on the environment and human health due to industrial installations have been studied. In the literature, associations have been reported between gender, environmental factors, and lung cancer mortality in women and men. The aim of this study was to investigate the relationships between gender, residence in areas with high environmental pressures, bronchus/lung cancer characteristics, and death rate.

Methods

Data from the Taranto Cancer Registry were used, including all women and men with invasive bronchus/lung cancer diagnosed between 1 January 2016 and 31 December 2020 and with follow-up to 31 December 2022. Bayesian mixed effects logistic and Cox regression models were fitted with the approach of integrated nested Laplace approximation, adjusting for patients and disease characteristics.

Results

A total of 2,535 person-years were observed. Male gender was associated with a higher prevalence of histological grade 3 (OR 2.45, 95% CrI 1.35–4.43) and lung squamous-cell carcinoma (OR 3.04, 95% CrI 1.97–4.69). Variables associated with higher death rate were male gender (HR 1.24, 95% CrI 1.07–1.43), pathological/clinical stage II (HR 2.49, 95% CrI 1.63–3.79), III (HR 3.40, 95% CrI 2.33–4.97), and IV (HR 8.21, 95% CrI 5.95–11.34), histological grade 3 (HR 1.80, 95% CrI 1.25–2.59), lung squamous-cell carcinoma (HR 1.18, 95% CrI 1.00–1.39), and small-cell lung cancer (HR 1.62, 95% CrI 1.31–1.99). Variables associated with lower death rate were other-type lung cancer (HR 0.65, 95% CrI 0.44–0.95), high immune checkpoint ligand expression (HR 0.75, 95% CrI 0.59–0.95), lung localization (HR 0.73, 95% CrI 0.62–0.86), and left localization (HR 0.85, 95% CrI 0.75–0.95).

Discussion

The results among patients with lung cancer did not show an association between residence in the contaminated site of national interest (SIN) and the prevalence of the above mentioned prognostic factors, nor between residence in SIN and death rate. The findings confirmed the independent prognostic values of different lung cancer characteristics. Even after adjusting for patients and disease characteristics, male gender appeared to be associated with a higher prevalence of poorly differentiated cancer and squamous-cell carcinoma, and with an increased death rate.
Otorhinolaryngologic complications after COVID-19 vaccination, vaccine adverse event reporting system (VAERS)
Authors: Shin Jieun , Shim Sung Ryul , Lee Jaekwang , Ryu Hyon Shik , Kim Jong-Yeup
Published: January 2024

Background

There have been reports of otolaryngological adverse event following immunization (AEFI) such as instances of olfactory and gustatory dysfunction following COVID-19 vaccination. This study aimed to analyze otolaryngological AEFIs following COVID-19 vaccination.

Methods

This study was conducted with a secondary data analysis that the Vaccine Adverse Events Reporting System (VAERS) and the COVID-19 Data Tracker, which are both administered by the Centers for Disease Control and Prevention in the US. Using Medical Dictionary for Regulatory Activities (MedDRA) concepts, AEFIs included: Considering the overall frequency and similarity of symptoms in the first 153 PTs, they were grouped into major 19 AEFIs groups. The incidence rates (IRs) of AEFIs per 100,000 were calculated on individual and cumulative AEFIs levels, involving people who received complete primary series and an updated bivalent booster dose with one of the available COVID-19 vaccines in the US. The proportions of AEFIs by age, sex, and vaccine manufacturer were reported. We also calculated the proportional reporting ratio (PRR) of AEFIs.

Results

We identified 106,653 otorhinolaryngologic AEFIs from the VAERS database, and a total of 226,593,618 people who received complete primary series in the US. Overall, the IR of total Otorhinolaryngologic AEFIs was 47.068 of CPS (completed primary series) and 7.237 UBB (updated bivalent booster) per 100,000. For most symptoms, being female was associated with statistically significant higher AEFIs. Upon examining the impact of different vaccine manufacturers, the researchers found that Janssen’s vaccine exhibited higher IRs for hearing loss (5.871), tinnitus (19.182), ear infection (0.709), dizziness (121.202), sinusitis (2.088), epistaxis (4.251), anosmia (5.264), snoring (0.734), allergies (5.555), and pharyngitis (5.428). The highest PRRs were for Anosmia (3.617), Laryngopharyngeal Reflux - Acid Reflux (2.632), and Tinnitus -Ringing in the ears (2.343), in that order, with these three significantly incidence than other background noises.

Conclusion

This study, utilizing an extensive sample sizes, represents a significant step toward comprehensively characterizing the otolaryngological AEFIs associated with COVID-19 vaccinations. This large-scale analysis aims to move beyond isolated case reports and anecdotal evidence, providing a robust and detailed portrait of the otolaryngological AEFIs landscape in response to COVID-19 vaccinations.
Gut-on-chip devices as intestinal inflammation models and their future for studying multifactorial diseases
Authors: Taavitsainen Susanne , Juuti-Uusitalo Kati , Kurppa Kalle , Lindfors Katri , Kallio Pasi , Kellomäki Minna
Published: January 2024

Inflammatory bowel disease (IBD), celiac disease, and other inflammatory conditions of the gastrointestinal tract are highly prevalent in society. Due to the complexity of factors involved, detailed pathogenesis is difficult to determine and thus remains elusive in many cases. The advent of gut-on-chip devices has permitted more accurate modeling of the gut microenvironment with the inclusion of fluid flow and mechanical cues that are true to intestinal architecture and physiology. This review outlines the evolution of gut-on-chip platforms towards greater physiological relevance and elucidates how these devices have been used to model and study intestinal inflammation in humans. In addition, we identify key elements from both technological and disease standpoints that are integral for accurate gut-on-chip models of IBD and celiac disease.
Severe and mild drought cause distinct phylogenetically linked shifts in the blue grama (Bouteloua gracilis) rhizobiome
Authors: Goemann Hannah M. , Ulrich Danielle E. M. , Peyton Brent M. , Gallegos-Graves La Verne , Mueller Rebecca C.
Published: January 2024

Plants rely on a diverse rhizobiome to regulate nutrient acquisition and plant health. With increasing severity and frequency of droughts worldwide due to climate change, untangling the relationships between plants and their rhizobiomes is vital to maintaining agricultural productivity and protecting ecosystem diversity. While some plant physiological responses to drought are generally conserved, patterns of root exudation (release of small metabolites shown to influence microbes) and the consequential effects on the plant rhizobiome can differ widely across plant species under drought. To address this knowledge gap, we conducted a greenhouse study using blue grama (Bouteloua gracilis), a drought-tolerant C4 grass native to shortgrass prairie across North American plains, as a model organism to study the effect of increasing drought severity (ambient, mild drought, severe drought) on root exudation and the rhizobiome. Our previous results demonstrated physiological effects of increasing drought severity including an increase in belowground carbon allocation through root exudation and shifts in root exudate composition concurrent with the gradient of drought severity. This work is focused on the rhizobiome community structure using targeted sequencing and found that mild and severe drought resulted in unique shifts in the bacterial + archaeal and fungal communities relative to ambient, non-droughted controls. Specifically, using the change in relative abundance between ambient and drought conditions for each ZOTU as a surrogate for population-scale drought tolerance (e.g., as a response trait), we found that rhizobiome response to drought was non-randomly distributed across the phylogenies of both communities, suggesting that Planctomycetota, Thermoproteota (formerly Thaumarchaeota), and the Glomeromycota were the primary clades driving these changes. Correlation analyses indicated weak correlations between droughted community composition and a select few root exudate compounds previously implicated in plant drought responses including pyruvic acid, D-glucose, and myoinositol. This study demonstrates the variable impacts of drought severity on the composition of the blue grama rhizobiome and provides a platform for hypothesis generation for targeted functional studies of specific taxa involved in plant-microbe drought responses.
Digital threads in turbulent times: unraveling technostress and cleaner production in the food industry
Authors: Irfan Muhammad , Sulehri Numair Ahmed , Manickiam Neelamehan
Published: January 2024

Introduction: In the current landscape marked by swift digital transformations and global disruptions, comprehending the intersection of digitalization and sustainable business practices is imperative. This study focuses on the food industries of China and Pakistan, aiming to explore the influence of digitalization on cleaner production.

Methods: Employing a cross-sectional design, data were gathered through online surveys involving a diverse group of employees. Special attention was given to the emergent phenomenon of technostress and its subsequent implications for individuals in the workplace.

Results: The findings of the study demonstrate a significant impact of digitalization on both resource mobilization and interaction quality within the surveyed food industries. Notably, technostress emerged as a mediating factor, shedding light on the psychological challenges associated with digital transitions. The study further reveals the moderating role of the COVID-19 pandemic, altering the dynamics among the variables under investigation.

Discussion: From a theoretical perspective, this research contributes to the cleaner production literature by bridging it with the human-centric nuances of technological adaptation. On a practical level, the study emphasizes the importance of aligning digital strategies with resource mobilization to achieve sustainable outcomes. For the food industry and potentially beyond, the research offers a roadmap for integrating digital tools into operations, ensuring efficiency, and promoting cleaner production.
Noisy condition and three-point shot performance in skilled basketball players: the limited effect of self-talk
Authors: Yang Liu , Tian Yu , Wang Yingchun
Published: January 2024

In modern basketball, the three-point shot plays an important tactical role. Basketball players often face the distraction from audience and opponents, necessitating psychological skill to maintain their performance. The study examined the effects of self-talk interventions on the three-point shot performance under quiet and noisy conditions. It involved 42 national second-level basketball players and used a 2 (Condition: quiet condition, noisy condition) × 3 (Intervention: control group, motivational self-talk, instructional self-talk) mixed design to investigate the performance of the static and dynamic three-point shots tasks. The results revealed that the static three-point shot score was significantly lower in noisy condition compared to quiet condition (p = 0.016), while the main effect of Intervention and the interaction effect of Condition × Intervention were not significant. Post-hoc analysis indicated that only the control group showed significantly lower scores in the noisy condition (p = 0.043). For the dynamic three-point shots performance, there were no significant main effects of Intervention or Condition, nor any significant interaction effect between Condition and Intervention. In conclusion, noise distraction negatively affects the static three-point shots task, and although self-talk interventions can mitigate such negative effects, their effectiveness is limited for dynamic three-point shots task with high physical demands.
Agriculture evolution, sustainability and trends, focusing on Brazilian agribusiness: a review
Authors: Basso Marcos Fernando , Neves Marcos Fava , Grossi-de-Sa Maria Fatima
Published: January 2024

The world’s population is expected to grow by 30%–35% over the next 60 years. Forecasts indicate that the world’s population will reach almost 10 billion by 2050, with India and China as the most populous countries. As a result, the demand for global food production, particularly protein and dairy products, and their nutritional quality will need to increase by 50%–75%. In addition to increasing food production, it is also necessary to consider and reduce the impact on the environment and ecosystem. On the one hand, the threat of climate change, the reduction of arable land for agricultural expansion, the economic impact of geopolitical conflicts, the human and animal health pandemics, the conjuncture of the domestic political environments, and the demand for new technologies are the main bottlenecks to increasing sustainable food production worldwide. In contrast, notable technological advances have been achieved in current agriculture through basic and advanced scientific research, development, innovation, and technology transfer to the agribusiness sector. Technological advances in various sectors will become increasingly important to increase food production and minimize environmental impacts. This review study briefly highlights the major technological advances in world agriculture that have contributed to the substantial increase in food production from the early days of extractive agriculture to high-performance agriculture. It then highlights the key breakthroughs, disruptive technologies, the impact of climate change on agriculture, and contributions from molecular sciences that are revolutionizing global agriculture, focusing on Brazilian agriculture, livestock, and agribusiness. Subsequently, the evolution of Brazilian agriculture is highlighted based on the market share of agricultural products and its relevance to the national GDP. Finally, the potential decision-making that could have a positive impact on the Brazilian agribusiness sector and that will affect the import and export of agribusiness products were addressed. Therefore, the importance of supporting the agribusiness sector to increase healthy food production with higher nutritional quality and with less impact on the environment and human life was highlighted.
Digitalization in orthopaedics: a narrative review
Authors: Youssef Yasmin , De Wet Deana , Back David A. , Scherer Julian
Published: January 2024

Advances in technology and digital tools like the Internet of Things (IoT), artificial intelligence (AI), and sensors are shaping the field of orthopaedic surgery on all levels, from patient care to research and facilitation of logistic processes. Especially the COVID-19 pandemic, with the associated contact restrictions was an accelerator for the development and introduction of telemedical applications and digital alternatives to classical in-person patient care. Digital applications already used in orthopaedic surgery include telemedical support, online video consultations, monitoring of patients using wearables, smart devices, surgical navigation, robotic-assisted surgery, and applications of artificial intelligence in forms of medical image processing, three-dimensional (3D)-modelling, and simulations. In addition to that immersive technologies like virtual, augmented, and mixed reality are increasingly used in training but also rehabilitative and surgical settings. Digital advances can therefore increase the accessibility, efficiency and capabilities of orthopaedic services and facilitate more data-driven, personalized patient care, strengthening the self-responsibility of patients and supporting interdisciplinary healthcare providers to offer for the optimal care for their patients.
Telework and Work Intensity: Insights from an Exploratory Study in Portugal during the COVID-19 Pandemic
Authors: Rebelo Glória , Almeida Antonio , Pedra Joao
Published: January 2024

The expansion of teleworking and the digital transition movement have given companies and workers great flexibility, albeit with significant organisational consequences. The recent COVID-19 pandemic further reinforced the scale of this impact. Thus, the current research aims to understand whether the multiple dimensions of telework have impacted upon workers’ time management and work intensity through the unprecedented experiences during the pandemic and, in particular, to assess whether telework intensifies work, in what ways and the main reasons for this. The article analyses the literature on teleworking and work intensity and presents a documentary analysis on the subject, in addition to presenting the results of an exploratory study carried out in 2021 in Portugal which investigates the impact of teleworking on workers’ time management. The article underlines that although teleworking can increase a worker’s well-being by eliminating travel time, it presents several risks, namely it can intensify work through increased pressure to meet objectives and targets. Therefore, it is essential to develop research on the effects of telework, particularly assessing the relationship between telework and work intensification, as well as its effects on working conditions and workers’ well-being. This research will be an important resource for regulating labour laws and designing human resource management policies.
Testing Structural Elements under Multiaxial Loading: A Numerical Model of the Bench to Understand and Predict Complex Boundary Conditions
Authors: Grotto Florent , Peta Oscar , Bouvet Christophe , Castanié Bruno , Serra Joël
Published: January 2024

Airworthiness certification requires proof of structure strength, which is performed generally through a building block approach. To achieve this, representative intermediate-scale experiments generated by test benches are, in general, needed, in addition to material characterization on a coupons scale and structure testing on a large scale. The VERTEX test bench can generate the combined loading of tension/compression-shear-pressure on structural elements and was modelled with Finite Elements to perform virtual testing, representative of its intermediate-scale specificity. The numerous bolted joints of the bench were modelled and their behavior was identified in previous tests, so the model could quantitatively estimate the transfer function of the bench, which is the relationship between the displacements imposed by the jacks and the resulting loads on a given sample. The VERTEX model was identified to represent load shapes and amplitudes based on a training set and was later confronted by a validation set of tests of tension and shear. A model with ideal boundary conditions was also developed for a comparison, but it failed to predict some load shape specificities and did not give any indication of the loading amplitude. Application cases of the developed model are shown to assess a range of virtual testing possibilities.
Advancing Early Fault Diagnosis for Multi-Domain Agricultural Machinery Rolling Bearings through Data Enhancement
Authors: Xie Fengyun , Li Gang , Liu Hui , Sun Enguang , Wang Yang
Published: January 2024

In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosis method, anchored in data augmentation, aims to discern early faults in agricultural machinery rolling bearings, particularly within an imbalanced sample framework. The methodology involves determining early fault signals throughout the life cycle, constructing early fault datasets with varying imbalance rates for different fault types, and subsequently employing the Synthetic Minority Oversampling Technique (SMOTE) to balance the fault data. The study then extracts relative wavelet packet energy and time-domain sensitive features (variance, peak to peak) from the original and generated fault data to form a multi-domain fault feature vector. This vector is utilized for fault state recognition using a Support Vector Machine (SVM). Evaluation metrics such as accuracy, recall, and F1 values assess the recognition effectiveness for each rolling bearing state, with the overall model recognition evaluated based on accuracy. The proposed method is rigorously analyzed and validated using the XJTU-SY rolling bearing accelerated life test dataset. Comparative analysis is conducted with non-data enhanced fault feature vectors, specifically the relative energy of the wavelet packet, both with and without time-domain features. Experimental results underscore the superior performance of multi-domain fault features in providing a comprehensive description of signal information, leading to enhanced classification performance. Furthermore, the study demonstrates improved classification accuracy and recall rates for the balanced dataset compared to the imbalanced dataset. This research significantly contributes to an effective identification method for the early fault diagnosis of small sample rolling bearings in agricultural machinery.
Combined Effect of Freeze–Thaw Cycles and Biochar Addition on Soil Nitrogen Leaching Characteristics in Seasonally Frozen Farmland in Northeast China
Authors: Wang Lihong , Li Tianxiao , Liu Hui , Zhang Zuowei , Yang Aizheng , Li Hongyu
Published: January 2024

Global climate warming and increased climate variability may increase the number of annual freeze–thaw cycles (FTCs) in temperate zones. The occurrence of more frequent FTCs is predicted to influence soil carbon and nitrogen cycles and increase nitrogen leaching. Biochar has the potential to increase soil organic carbon storage and decrease nitrogen leaching. This study aims to investigate the impact of freeze–thaw cycles (FTCs) on soil nitrogen leaching in temperate zones, considering the potential exacerbation of FTCs due to global climate warming and increased climate variability. This study focuses on how biochar, a carbon-rich material produced from biomass, might mitigate nitrogen leaching by influencing soil characteristics. This study explores the interactions between different laboratory-simulated FTC frequencies (ranging from 0 to 12 cycles) and various biochar addition ratios (0%, 2%, 4%, and 6% w/w) on soil nitrogen leaching based on a total of 60 soil columns. Pearson correlations between the soil quality indicators and nitrogen leaching characteristics were detected, and partial least squares path modeling (PLS-PM) was used to assess the effects of the FTCs, biochar addition ratios, and soil quality indicators on the nitrogen leaching content. The results showed that the amount of leached soil NH4+-N and NO3−-N reached 0.129–1.726 mg and 2.90–7.90 mg, respectively. NH4+-N and NO3−-N first increased and then decreased under the FTCs, with the highest values being observed after the 6th FTC. As the biochar addition ratio increased, the NH4+-N and NO3−-N contents decreased. Correlation analysis showed that the nitrogen leaching content was significantly related to the soil pH, soil organic matter (SOM), NH4+-N content, and microbial biomass carbon content (MBC) (p < 0.01). The results of the conceptual path model revealed that nitrogen leaching characteristics were significantly affected by the pH, SOM, soil nitrogen content, and biochar addition ratio. Our results suggest that biochar addition can help reduce nitrogen leaching in farmland soil in areas with black soil and seasonal freeze–thaw cycles.
Genome-Wide Identification of the Glycine-Rich RNA-Binding Protein Genes and Their Expression Analysis upon Aspergillus flavus Infection in Groundnut (Arachis hypogaea)
Authors: Jose Alin M. , Tejaswi Avuthu , Kokiladevi Eswaran , Sharma Niharika , Yogendra Kalenahalli
Published: January 2024

Aflatoxins, carcinogenic secondary metabolites produced by the Aspergillus fungi, pose a significant threat to groundnut, making them susceptible to infection and compromising their quality. Despite extensive breeding programs, the need for more durable resistance in groundnut germplasm remains a major challenge. Targeting susceptible genes favoring Aspergillus infection in groundnut could offer a promising strategy for achieving durable resistance. The glycine-rich RNA-binding protein (GR-RBP)-coding genes, known for their involvement in plant hypersensitivity and susceptibility to A. flavus, have been studied in model plants. However, there needs to be more understanding of the GR-RBP gene family in groundnut. In this study, twenty-three Arachis hypogaea GR-RBP (Ah.GR-RBP) genes were identified, and the chromosomal location, sub-cellular localization, and regulatory elements in the putative promoter region were analyzed. Expression analysis revealed that Ah.GR-RBP.1, Ah.GR-RBP.12, Ah.GR-RBP.3, and Ah.GR-RBP.15 showed higher expression in the susceptible genotype. This paper would help to provide knowledge on potential candidate target genes for precise breeding interventions for aflatoxin mitigation in groundnut.
Carbohydrases and Phytase in Poultry and Pig Nutrition: A Review beyond the Nutrients and Energy Matrix
Authors: Valente Junior Dante Teixeira , Genova Jansller Luiz , Kim Sung Woo , Saraiva Alysson , Rocha Gabriel Cipriano
Published: January 2024

This review aimed to clarify the mechanisms through which exogenous enzymes (carbohydrases and phytase) influence intestinal health, as well as their effects on the nutrients and energy matrix in diets fed to poultry and pigs reared under sanitary challenging conditions. Enzyme supplementation can positively affect intestinal microbiota, immune system, and enhance antioxidant status. Although enzymes have been shown to save energy and nutrients, their responses under sanitary challenging conditions are poorly documented. Immune system activation alters nutrient partitioning, which can affect the matrix values for exogenous enzymes on commercial farms. Notably, the carbohydrases and phytase supplementation under sanitary challenging conditions align with energy and nutritional valorization matrices. Studies conducted under commercial conditions have shown that matrices containing carbohydrases and phytase can maintain growth performance and health in poultry and pigs. However, these studies have predominantly focused on assessing a single level of reduction in energy and/or available phosphorus and total calcium, limiting our ability to quantify potential energy and nutrient savings in the diet. Future research should delve deeper into determining the extent of energy and nutrient savings and understanding the effects of alone or blended enzymes supplementation to achieve more specific insights.
Optimizing the Antimicrobial Activity of Sodium Hypochlorite (NaClO) over Exposure Time for the Control of Salmonella spp. In Vitro
Authors: Nunes Nathaly Barros , Reis Jaqueline Oliveira dos , Castro Vinicius Silva , Machado Maxsueli Aparecida Moura , Cunha-Neto Adelino da , Figueiredo Eduardo Eustáquio de Souza
Published: January 2024

Fish is a nutritionally rich product; however, it is easily contaminated by pathogenic microorganisms, such as Salmonella spp. Therefore, this study aimed to identify the best concentration of sodium hypochlorite (NaClO), exposure time, and water temperature that allow the most effective antimicrobial effect on the viable population of Salmonella spp. Thus, Salmonella Enteritidis ATCC 13076 and Salmonella Schwarzengrund were exposed to different time frames, ranging from 5 min to 38.5 min, temperatures between 5 and 38.5 °C, and NaClO concentrations ranging from 0.36 to 6.36 ppm, through a central composite rotational design experiment (CCRD). The results demonstrated that the ATCC strain exhibited a quadratic response to sodium hypochlorite when combined with exposure time, indicating that initial contact would already be sufficient for the compound’s action to inhibit the growth of the mentioned bacteria. However, for S. Schwarzengrund (isolated directly from fish cultivated in aquaculture), both NaClO concentration and exposure time significantly influenced inactivation, following a linear pattern. This suggests that increasing the exposure time of NaClO could be an alternative to enhance Salmonella elimination rates in fish slaughterhouses. Thus, the analysis indicates that the Salmonella spp. strains used in in vitro experiments were sensitive to concentrations equal to or greater than the recommended ones, requiring a longer exposure time combined with the recommended NaClO concentration in the case of isolates from aquaculture.
Outpatient Antibiotic Prescribing Patterns in Children among Primary Healthcare Institutions in China: A Nationwide Retrospective Study, 2017–2019
Authors: Wushouer Haishaerjiang , Du Kexin , Yu Junxuan , Zhang Wanmeng , Hu Lin , Ko Weihsin , Fu Mengyuan , Zheng Bo , Shi Luwen , Guan Xiaodong
Published: January 2024

There is scarce evidence to demonstrate the pattern of antibiotic use in children in China. We aimed to describe antibiotic prescribing practices among children in primary healthcare institutions (PHIs) in China. We described outpatient antibiotic prescriptions for children in PHIs from January 2017 to December 2019 at both the national and diagnostic levels, utilizing the antibiotic prescribing rate (APR), multi-antibiotic prescribing rate (MAPR), and broad-spectrum prescribing rate (BAPR). Generalized estimating equations were adopted to analyze the factors associated with antibiotic use. Among the total 155,262.2 weighted prescriptions for children, the APR, MAPR, and BAPR were 43.5%, 9.9%, and 84.8%. At the national level, J01DC second-generation cephalosporins were the most prescribed antibiotic category (21.0%, N = 15,313.0), followed by J01DD third-generation cephalosporins (17.4%, N = 12,695.8). Watch group antibiotics accounted for 55.0% of the total antibiotic prescriptions (N = 52,056.3). At the diagnostic level, respiratory tract infections accounted for 67.4% of antibiotic prescriptions, among which prescriptions with diagnoses classified as potentially bacterial RTIs occupied the highest APR (55.0%). For each diagnostic category, the MAPR and BAPR varied. Age, region, and diagnostic categories were associated with antibiotic use. Concerns were raised regarding the appropriateness of antibiotic use, especially for broad-spectrum antibiotics.