Proper Recognition Research Articles

DESVIO DE FUNÇÃO DE PROFISSIONAIS DA ENFERMAGEM NO SERVIÇO PÚBLICO

The text presents an approach on the role deviation of nursing professionals in the public service. The objective is to analyze the role deviation of nursing professionals in the public service and its consequences. The text begins with an approach to the notions of administrative law and public administration. The role of nursing in public administration and the possible causes of function deviations of nursing professionals are mentioned, seeking to understand how the Judiciary Power has acted on issues where there is a finding of function deviation. The text ends by showing the consequences for nursing assistants who perform the role of nursing technicians without proper professional recognition and remuneration, which is therefore a reason for these professionals to go to court. The results showed that the nursing professional has, yes, intensified in times of pandemic, but it is necessary that he always fulfill the tasks relevant to their training, avoiding professional wear and disturbances in their quality of life.

Diagnostic electron microscopy in human infectious diseases - Methods and applications.

Diagnostic electron microscopy (EM) is indispensable in all cases of infectious diseases which deserve or profit from the detection of the entire pathogen (i.e. the infectious unit). The focus of its application has shifted during the last decades from routine diagnostics to diagnostics of special cases, emergencies and the investigation of disease pathogenesis. While the focus of application has changed, the methods remain more or less the same. However, since the number of cases for diagnostic EM has declined as the number of laboratories that are able to perform such investigations, the preservation of the present knowledge is important. The aim of this article is to provide a review of the methods and strategies which are useful for diagnostic EM related to infectious diseases in our days. It also addresses weaknesses as well as useful variants or extensions of established methods. The main techniques, negative staining and thin section EM, are described in detail with links to suitable protocols and more recent improvements, such as thin section EM of small volume suspensions. Sample collection, transport and conservation/inactivation are discussed. Strategies of sample examination and requirements for a proper recognition of structures are outlined. Finally, some examples for the actual application of diagnostic EM related to infectious diseases are presented. The outlook section will discuss recent trends in microscopy, such as automated object recognition by machine learning, regarding their potential in supporting diagnostic EM.

Factors influencing spousal support for women with perinatal depression in seeking formal assistance: a qualitative study.

Seeking formal help can significantly improve the outcomes of perinatal depression (PND). However, currently, women with PND are not consistently seeking formal help. Research indicated that spouses played a crucial role in helping women recognize PND and encouraging them to seek formal help. This study aimed to explore the factors that prevent spouses from supporting women with PND in seeking formal help, based on the Knowledge-Attitude-Practice (KAP) theory. This is a qualitative study, utilizing semi-structured interviews to explore the factors that influence spouses to support women with PND to seek formal help. The interviews were conducted at a tertiary hospital in Shanghai, China from September 2023 to October 2023. Purposive sampling was used, and the sample size was determined by data saturation. Data analysis was conducted using Colaizzi's seven-step method. Twelve spouses had a mean age of 34.92 years (SD 5.81); n = 7 (58.33%) were new fathers. The influencing factors identified in this study can be explained by KAP theory, ultimately three major themes and six sub-themes emerged: (1) individual knowledge factors: lack of proper recognition of PND, (2) individual attitude factors: negative attitude toward PND screening and treatment and (3) service provider factors: imbalance between supply and demand for perinatal mental health services. Spouses who lacked supportive behavior were influenced by individual factors, including knowledge factors and attitude factors, as well as service provider factors. These identified factors can guide future research and the development of interventions to improve perinatal mental health services and encourage family support in seeking formal help.

Democratic Stability and Backsliding <!--EndFragment-->

In light of mounting concerns about democratic backsliding, Rawls’s work – which has an unusual focus on considerations of stability – is now being mined for insights about democratic fragility. This paper begins by arguing that the key mechanism underlying Rawls’s account of stability cannot, consistent with a proper recognition of the burdens of judgment, explain what makes democratic stability possible. It is, therefore, not well-positioned to help us to think productively about how to mitigate the risk of backsliding. Building on an influential literature in political science, I describe an alternative way of thinking about what enables democratic stability that focuses on the importance of giving key actors self-interested reasons for compliance. This account provides a more productive framework for understanding the causes, and thinking about how to mitigate the risk, of backsliding. It should, therefore, contribute to how we evaluate political institutions and proposed reforms.

Novelty detection for long-term diagnostic data with Gaussian and non-Gaussian disturbances using a support vector machine

Abstract In condition monitoring lack of properly balanced data sets with faulty and healthy cases makes proper condition recognition very challenging. In many cases, one may have good condition data only as the machine is unique and there is no other example. This issue is addressed by proposing a support vector machine (SVM) for novelty detection applied to health index (HI) data. In this scheme, the moving window approach has been utilised in which the simple statistical parameterisation of the data is carried out. Then the model in the multidimensional (mD) space is constructed whose shape is defined by an estimated hypersphere border. If the data lies inside the border then it can be used to re-train the model. Whereas if it is outside the border then it cannot be recognized as a healthy case. The size of the mD hypersphere (for m=2) describes the location of the good-condition data cloud as a potential feature. If the size of the data cloud is growing, it means more dispersion of the data. The efficiency of the method is tested on simulated and well-known real data sets having Gaussian and non-Gaussian disturbances.

From inflammation to depression: key biomarkers for IBD-related major depressive disorder.

Inflammatory bowel disease (IBD) is a chronic, inflammatory, and autoimmune disorder, and its incidence of comorbid with major depressive disorder (MDD) is significantly higher than the general population. However, many patients lack proper recognition and necessary psychological health treatments. We aimed to identify potential biomarkers and mechanisms involved in the development of IBD comorbid with MDD (IBD-MDD). We utilized IBD and MDD-related datasets from the GEO database for differential gene expression analysis, protein-protein interaction (PPI) and pathway enrichment analysis, random forest algorithm, LASSO regression analysis, and construction of a disease prediction model. We assessed the accuracy of the model using ROC curve, explored potential mechanisms through immune infiltration analysis, and validated candidate biomarkers using peripheral blood samples from patients in our center's cohort. We identified 484 IBD-related secreted proteins and 142 key module genes associated with MDD. PPI analysis revealed two crucial modules primarily involved in inflammation and immune regulation. We identified four diagnostic genes (HGF, SPARC, ADAM12, and MMP8) from the 21 shared genes between IBD-related secreted proteins and MDD key module genes, constructed a nomogram model and confirmed its accuracy using ROC curve from an external independent dataset. Immune infiltration analysis revealed significant associations between the four diagnostic genes, and cellular immune dysregulation in MDD. Finally, we validated the expression patterns of the four diagnostic genes in our cohort. Our study discovered four candidate biomarkers for IBD-MDD, providing new insights for the diagnosis and therapeutic intervention of serum-based IBD comorbid with MDD.

Strategies for Effective Occupational Stress Management in the Workplace

Effective stress management involves addressing and mitigating occupational stress among employees. Designing a successful stress management program requires identifying key factors that influence employees’ ability to manage workplace stress. This also involves selecting intervention models that can effectively target these factors. The management framework conceptualizes occupational stress as an outcome of how stressors are perceived and how employees evaluate their coping resources. Organizational strategies to control occupational stress tend to take a more proactive approach. This study examines occupational stress management at both organizational and individual levels, aiming to enhance our understanding of effective workplace coping strategies for occupational stress. The study results indicate that IT employees, at both individual and organizational levels, expect organizations to implement stress management strategies, including counseling, training and development programs, proper recognition, career advancement opportunities, effective performance management systems, open communication, and ample support from management.

Learning from conceptual models – a study of the emergence of cooperation towards resource protection in a social–ecological system

Abstract. Engaging ecological resource users in intervention to protect resources is challenging for governments due to the self-interest of users and uncertainty about intervention consequences. Focusing on a case of forest insect infestations, we addressed questions of resource protection and environmentally responsible behavior promotion with a conceptual model. We coupled a forest infestation model with a social model in which a governing agent applies a mechanism for the recognition and promotion of environmentally responsible behavior among several user agents. We ran the coupled model in various scenarios with a reinforcement-learning algorithm for the governing agent as well as best-case, worst-case, and random baselines. Results showed that a proper recognition policy facilitates emergence of environmentally responsible behavior. However, ecosystem health may deteriorate due to temporal differences between the social and ecological systems. Our work shows it is possible to gain insight about complexities of social–ecological systems with conceptual models through scenario analysis.

Variability in youth coach concussion education requirements across states.

Youth sports coaches play a critical role in proper concussion recognition and management, reinforcing the need for coach concussion education. As of 2021, most states have statutory and policy measures mandating concussion education for coaches. In practice, these mandates have been enacted through state legislatures and their respective youth sport governing bodies. Prior studies have found significant variations in the contents of state-level concussion risk reduction policies and have raised questions about their specificity. To expand on previous analyses to provide an overview of youth sports coach concussion education, highlighting variations in state policies and discrepancies between state mandates and youth sport governing bodies. This report utilized qualitative content analysis to characterize and compare U.S. state and governing body concussion education requirements for youth sport coaches. State concussion statutes were identified via the National Conference of State Legislatures and Open States databases, and governing body handbooks/bylaws were obtained via their websites. Two researchers independently coded the policies, and discrepancies were resolved through consensus meetings with additional youth traumatic brain injury experts. We found significant variability in educational requirements and their implementation. A majority (68%; n = 34) of states require the completion of concussion education training for coaches. Notably, many states designate responsibility for enforcement and implementation of provisions to another party but just four state statutes delineate explicit consequences for noncompliance. Additionally, only 12 state statutes extend mandates to noninterscholastic sports, limiting their reach. In most cases, independent sanctioning authorities implement more stringent policies than the minimum acceptable standard established by state law. Our findings provide a coded data set of youth coach concussion laws and independent sanctioning authority guidelines that can be used in future research efforts. Further research investigating a relationship between the strength of coach concussion education policies and relevant youth and adolescent concussion-related metrics is required.

The Problems with Proxies: Making Data Work Visible through Requester Practices

Fairness in AI and ML systems is increasingly linked to the proper treatment and recognition of data workers involved in training dataset development. Yet, those who collect and annotate the data, and thus have the most intimate knowledge of its development, are often excluded from critical discussions. This exclusion prevents data annotators, who are domain experts, from contributing effectively to dataset contextualization. Our investigation into the hiring and engagement practices of 52 data work requesters on platforms like Amazon Mechanical Turk reveals a gap: requesters frequently hold naive or unchallenged notions of worker identities and capabilities and rely on ad-hoc qualification tasks that fail to respect the workers’ expertise. These practices not only undermine the quality of data but also the ethical standards of AI development. To rectify these issues, we advocate for policy changes to enhance how data annotation tasks are designed and managed and to ensure data workers are treated with the respect they deserve.

Using 3D Hand Pose Data in Recognizing Human–Object Interaction and User Identification for Extended Reality Systems

Object detection and action/gesture recognition have become imperative in security and surveillance fields, finding extensive applications in everyday life. Advancement in such technologies will help in furthering cybersecurity and extended reality systems through the accurate identification of users and their interactions, which plays a pivotal role in the security management of an entity and providing an immersive experience. Essentially, it enables the identification of human–object interaction to track actions and behaviors along with user identification. Yet, it is performed by traditional camera-based methods with high difficulties and challenges since occlusion, different camera viewpoints, and background noise lead to significant appearance variation. Deep learning techniques also demand large and labeled datasets and a large amount of computational power. In this paper, a novel approach to the recognition of human–object interactions and the identification of interacting users is proposed, based on three-dimensional hand pose data from an egocentric camera view. A multistage approach that integrates object detection with interaction recognition and user identification using the data from hand joints and vertices is proposed. Our approach uses a statistical attribute-based model for feature extraction and representation. The proposed technique is tested on the HOI4D dataset using the XGBoost classifier, achieving an average F1-score of 81% for human–object interaction and an average F1-score of 80% for user identification, hence proving to be effective. This technique is mostly targeted for extended reality systems, as proper interaction recognition and users identification are the keys to keeping systems secure and personalized. Its relevance extends into cybersecurity, augmented reality, virtual reality, and human–robot interactions, offering a potent solution for security enhancement along with enhancing interactivity in such systems.

Maria Karampouga the first female neurosurgeon graduate in Cyprus.

Promoting the involvement of women in surgery, particularly in neurosurgery, is crucial in today's male-dominated landscape. Without proper recognition and encouragement, many talented and pioneering women may continue to be undervalued, despite their significant impact on the field. Gender inequality has been a persistent issue throughout history, with limited progress despite the increasing presence of women in the workforce. Historically, women were viewed as inferior to men, even within the medical profession, due to perceived physical differences. This perception was reinforced in religious texts, depicting women as bearing the consequences of the first woman's actions. However, it is important to recognize and support these talented women, allowing them to showcase their contributions in their respective fields. One notable figure in this regard is Maria Karampouga, the first female neurosurgeon graduate in Cyprus. Born in Alexandroupolis, Greece, Maria Karampouga began her medical training after passing a national examination and achieving excellence. After successfully completing her studies, attaining the top score in her graduating class she began a residency in general surgery and then neurosurgery in Greece. Seeking the best possible training, she left her studies incomplete and moved to Cyprus to restart her training in Neurosurgery. She was the first woman ever associated with Neurosurgery in Cyprus and in June 2023, she became the first woman to complete the country's residency program in Neurosurgery. Currently, she is a researcher at University of Pittsburg, Medical Center.

A shift in substrate requirement might cause speciation of the lichenized fungi, Varicellaria hemisphaerica and V. lactea (Pertusariales, Ascomycota)

Proper species recognition is required to correctly estimate species preferences and their vulnerability or for eco-evolutionary inference. Varicellaria hemisphaerica and Varicellaria lactea are almost completely morphologically homogeneous species with unclear identification features. To evaluate the importance of morphological, chemical, and ecological characteristics used in recognition of these species, we tested 670 specimens, of which 42 were analyzed phylogenetically using nucITS rDNA, SSU rDNA, and LSU rDNA markers. This integrated taxonomical approach showed that V. hemisphaerica is distinct from V. lactea, and that substrate requirements, together with phylogenetic differences and the size of soredia, differentiate these species. The chemical composition of secondary lichen metabolites in both analyzed species showed similar variation and, therefore, this feature is not diagnostic in species recognition, although suggested by previous studies. The potential speciation of the two species seems to be caused by the shift in the substrate requirements.

Abdominal Parasitic Fibroids after Laparoscopic Surgery Using a Power Morcellation: A Novel Insight from Vietnam and a Narrative Revew of the Literature

Abstract Parasitic fibroid is a rare benign pathology that can be negotiated because of its rarity. The etiology remains unknown following prior intervention related to uterine fibroids. The assessment of this rare disease is usually based on clinical features and imaging modalities. In addition, appropriate management should be individualized where appropriate. Herein, we report an uncommon case at our center and raise proper recognition for all gynecologists. Particularly, in low-and middle-income countries such as Vietnam, where the health-care system is insufficient to follow-up the long-term postoperation. A 40-year-old woman (gravida 3, para 2) presented to the gynecologic examination room due the abdominal pain and increased size of abdominal circumference. The patient had undergone laparoscopy involving the power morcellator without a contained-bag system for myomectomy at our hospital 6 years prior. The imaging diagnostic tools showed multiple hypoechoic disseminated masses in the abdominal cavity. The laparotomy intervention and histopathological endpoints confirmed completely the diagnosis of parasitic fibroid. Although an extremely rare occurrence, parasitic fibroids should be informed to all patients after laparoscopic intervention for uterine fibroids. In addition, the diagnosis of parasitic fibroid should be warranted among the patients presenting with abdominal pain after a history of fibroid resection. The power morcellation in the contained bag, uterine extraction in hysterectomy, as well as relieving the surgical specimen of uterine fibroids should be gently performed to minimize fibroid tissue disruption.

Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming

BackgroundThe failure of proper recognition of the intricate nature of pathophysiology in colorectal cancer (CRC) has a substantial effect on the progress of developing novel medications and targeted therapy approaches. Imbalances in the processes of lipid oxidation and biosynthesis of fatty acids are significant risk factors for the development of CRC. Therapeutic intervention that specifically targets the peroxisome proliferator-activated receptor gamma (PPARγ) and its downstream response element, in response to lipid metabolism, has been found to promote the growth of tumors and has shown significant clinical advantages in cancer patients.MethodsClinical CRC samples and extensive in vitro and in vivo experiments were carried out to determine the role of ZDHHC6 and its downstream targets via a series of biochemical assays, molecular analysis approaches and lipid metabolomics assay, etc.ResultsTo study the effect of ZDHHC6 on the progression of CRC and identify whether ZDHHC6 is a palmitoyltransferase that regulates fatty acid synthesis, which directly palmitoylates and stabilizes PPARγ, and this stabilization in turn activates the ACLY transcription-related metabolic pathway. In this study, we demonstrate that PPARγ undergoes palmitoylation in its DNA binding domain (DBD) section. This lipid-related modification enhances the stability of PPARγ protein by preventing its destabilization. As a result, palmitoylated PPARγ inhibits its degradation induced by the lysosome and facilitates its translocation into the nucleus. In addition, we have identified zinc finger-aspartate-histidine-cysteine 6 (ZDHHC6) as a crucial controller of fatty acid biosynthesis. ZDHHC6 directly interacts with and adds palmitoyl groups to stabilize PPARγ at the Cys-313 site within the DBD domain of PPARγ. Consequently, this palmitoylation leads to an increase in the expression of ATP citrate lyase (ACLY). Furthermore, our findings reveals that ZDHHC6 actively stimulates the production of fatty acids and plays a role in the development of colorectal cancer. However, we have observed a significant reduction in the cancer-causing effects when the expression of ZDHHC6 is inhibited in in vivo trials. Significantly, in CRC, there is a strong positive correlation between the high expression of ZDHHC6 and the expression of PPARγ. Moreover, this high expression of ZDHHC6 is connected with the severity of CRC and is indicative of a poor prognosis.ConclusionsWe have discovered a mechanism in which lipid biosynthesis is controlled by ZDHHC6 and includes the signaling of PPARγ-ACLY in the advancement of CRC. This finding provides a justification for targeting lipid synthesis by blocking ZDHHC6 as a potential therapeutic approach.

Corrin Ring Modifications Reveal the Chemical and Spatial Requirements for the B12-btuB Riboswitch Interaction.

The btuB riboswitch is a regulatory RNA sequence controlling gene expression of the outer membrane B12 transport protein BtuB by specifically binding coenzyme B12 (AdoCbl) as its natural ligand. The B12 sensing riboswitch class is known to accept various B12 derivatives, leading to a division into two riboswitch subclasses, dependent on the size of the apical ligand. Here we focus on the role of side chains b and e on affinity and proper recognition, i. e. correct structural switch of the btuB RNA, which belongs to the AdoCbl-binding class I. Chemical modification of these side chains disturbs crucial hydrogen bonds and/or electrostatic interactions with the RNA, its effect on both affinity and switching being monitored by in-line probing. Chemical modifications at sidechain b of vitamin B12 show larger effects indicating crucial B12-RNA interactions. When introducing the same modification to AdoCbl the influence of any side-chain modification tested is reduced. This renders the impact of the adenosyl-ligand for B12-btuB riboswitch recognition clearly beyond the known role in affinity.

Trivializing atrocities: examining the phenomenon of genocide denial in Bangladesh and the triumphalism of perpetrators

This work tried to demonstrate the persistence denial regarding the 1971 Bangladesh Genocide, outshined by other past atrocities. The study examines both Pakistani government views and developing denial narratives within Bangladesh, exploring justifications used to downplay the genocide, including politicization of tribunals and falsified casualty counts. The research argues that triumphalism is not a distinct phase of denial, but rather an intrinsic element of it. Furthermore, the study emphasizes the disturbing lack of recognition for the Bangladesh Genocide in academic circles, particularly in comparison to the focus on Western genocides. The study concludes by proposing for a more balanced approach to genocide scholarship, assuring proper recognition of all such disasters.

Expectations of Katowice residents regarding the program assumptions of the European city of science Katowice 2024 in the field of medical and health sciences - questionnaire survey results

IntroductionScientific literacy has been the subject of studies for several decades, but there is much less interest in the social perception of science, traceability of key areas of scientific activity and social expectations regarding science. Proper recognition of such issues can significantly contribute to a better understanding of the causes of the crisis of trust in science and help to find an effective and socially acceptable solution to mitigate it. Our study was aimed at identifying and systematizing the public needs and expectations towards medical and health sciences, based on the example of the population of Katowice.Materials and methodsThe study was carried out using a mixed, qualitative-quantitative methodology. Based on the conclusions of the in-depth interviews, a questionnaire was constructed to check the level of awareness of residents of Katowice obtaining the title of the European City of Science 2024 and the respondents’ opinion on the development of medical and health sciences. 400 inhabitants of the city and/or people associated with it through their work or education took part in the questionnaire survey.ResultsOnly 7.8% of respondents had in-depth knowledge about the European City of Science 2024 project, with further 28.8% declaring some level of general knowledge of the issue. Study participants associated medical and health sciences with health promotion and clinical specialties (43% and 33,5% respectively). In terms of further development of medical and health sciences in Katowice study participants prioritized mainly development of research in chronic and lifestyle-related diseases (51%) and the need of development of prevention and health promotion (46.3%) as well as clinical medicine (32.8%). The inhabitants of the city recognize the resources of the city and the region in the field of medical sciences and health sciences as large and with high development potential.ConclusionsThe events organized as part of the European City of Science 2024 should become a good opportunity to promote and disseminate knowledge about the achievements and development potential of the City and the Region in the field of medical and health sciences.

Viral piracy of host RNA phosphatase DUSP11 by avipoxviruses.

Proper recognition of viral pathogens is an essential part of the innate immune response. A common viral replicative intermediate and chemical signal that cells use to identify pathogens is the presence of a triphosphorylated 5' end (5'ppp) RNA, which activates the cytosolic RNA sensor RIG-I and initiates downstream antiviral signaling. While 5'pppRNA generated by viral RNA-dependent RNA polymerases (RdRps) can be a potent activator of the immune response, endogenous RNA polymerase III (RNAPIII) transcripts can retain the 5'pppRNA generated during transcription and induce a RIG-I-mediated immune response. We have previously shown that host RNA triphosphatase dual-specificity phosphatase 11 (DUSP11) can act on both host and viral RNAs, altering their levels and reducing their ability to induce RIG-I activation. Our previous work explored how artificially altered DUSP11 can impact immune activation, prompting further exploration into natural contexts of altered DUSP11. Here, we have identified viral DUSP11 homologs (vDUSP11s) present in some avipoxviruses. Consistent with the known functions of endogenous DUSP11, we have shown that expression of vDUSP11s: 1) reduces levels of endogenous RNAPIII transcripts, 2) reduces a cell's sensitivity to 5'pppRNA-mediated immune activation, and 3) restores virus infection defects seen in the absence of DUSP11. Our results identify a virus-relevant context where DUSP11 activity has been co-opted to alter RNA metabolism and influence the outcome of infection.

Immigrant women entrepreneurship research: mapping the field

Purpose Immigrant entrepreneurship, particularly immigrant women entrepreneurship, has recently gained socioeconomic attention. However, this issue does not seem to have found proper recognition yet within academic management studies. Thus, the purpose of this paper is to develop a rigorous and comprehensive historical overview of the field, highlighting the key research issues that scholars are following to date and the most intriguing research directions worthy of further development. Design/methodology/approach To reach its goal, the paper develops a systematic literature review based on the rigorous criteria of 83 papers focused on immigrant women entrepreneurs. Findings Findings from this study highlight that some relevant arguments related to immigrant women entrepreneurs should deserve more in-depth investigation. As an example, a clear understanding of those factors positively affecting immigrant women firms’ performance is currently missing and it may help to gain knowledge that is able to effectively support such firms. Moreover, there is a strong need to go beyond the tolerance and proclamations toward the relevance of immigrant women entrepreneurs to really understand and manage the differences and ethnic resources that immigrants have and, therefore, overcome their marginalization. Originality/value This research enhances a clear understanding of issues related to immigrant women entrepreneurship. The advancement, in terms of knowledge, of such a pivotal topic for today’s economies helps both scholars and policymakers in better targeting education plans as well as in planning ad hoc support and targeted policies, management, entrepreneurship, gender, women entrepreneurs and immigrant entrepreneurship.