Assessing healthcare workers’knowledge and confidence in the diagnosis,management and prevention of Monkeypox

BACKGROUND Monkeypox(Mpox),is a disease of global public health concern,as it does not affect only countries in western and central Africa.AIM To assess Burundi healthcare workers(HCWs)s’level of knowledge and confidence in the diagnosis and management of Mpox.METHODS We conducted a cross-sectional study via an online survey designed mainly from the World Health Organization course distributed among Burundi HCWs from June-July 2023.The questionnaire comprises 8 socioprofessional-related questions,22 questions about Mpox disease knowledge,and 3 questions to assess confidence in Mpox diagnosis and management.The data were analyzed via SPSS software version 25.0.A P value<0.05 was considered to indicate statistical significance.RESULTS The study sample comprised 471 HCWs who were mainly medical doctors(63.9%)and nurses(30.1%).None of the 22 questions concerning Mpox knowledge had at least 50%correct responses.A very low number of HCWs(17.4%)knew that Mpox has a vaccine.The confidence level to diagnose(21.20%),treat(18.00%)or prevent(23.30%)Mpox was low among HCWs.The confidence level in the diagnosis of Mpox was associated with the HCWs’age(P value=0.009),sex(P value<0.001),work experience(P value=0.002),and residence(P value<0.001).The confidence level to treat Mpox was significantly associated with the HCWs’age(P value=0.050),sex(P value<0.001),education(P value=0.033)and occupation(P value=0.005).The confidence level to prevent Mpox was associated with the HCWs’education(P value<0.001),work experience(P value=0.002),residence(P value<0.001)and type of work institution(P value=0.003).CONCLUSION This study revealed that HCWs have the lowest level of knowledge regarding Mpox and a lack of confidence in the ability to diagnose,treat or prevent it.There is an urgent need to organize continuing medical education programs on Mpox epidemiology and preparedness for Burundi HCWs.We encourage future researchers to assess potential hesitancy toward Mpox vaccination and its associated factors.

Evaluation of the prevalence and risk factors of burnout syndrome among healthcare workers:A cross-sectional study

BACKGROUND Burnout syndrome is a significant issue among healthcare professionals worldwide,marked by depersonalization,emotional exhaustion,and a reduced sense of personal achievement.This psychological and physical burden profoundly affects healthcare professionals'quality of care and overall well-being.In Somalia,where the healthcare system faces numerous challenges,the escalating demand for medical services and inadequate resources,coupled with overwhelming workloads,long hours,and high-stress levels,make healthcare providers particularly vulnerable to burnout syndrome.This,in turn,affects both the mental health of healthcare personnel and the quality of care they provide.AIM To examine the prevalence and determinants of burnout syndrome among healthcare practitioners in Mogadishu,Somalia.METHODS This cross-sectional prospective study was performed among 246 healthcare providers employed at a tertiary care hospital in Mogadishu,Somalia,who were recruited via random sampling.Data were collected using questionnaires that covered sociodemographic,psychological,work-related characteristics,and burnout syndrome.Bivariate and multivariate logistic regression analyses were performed to identify the variables that correlated with burnout syndrome.The results were presented using adjusted odds ratios(AORs),95%CIs,and P values,with a cutoff of 0.05 for identifying significant associations.RESULTS Among the participants,24%(95%CI:18.8%–29.8%)exhibited symptoms of burnout syndrome.Factors associated with burnout included female gender(AOR=6.60;95%CI:2.29-19.04),being married(AOR=3.07;95%CI:1.14-8.28),being divorced or widowed(AOR=5.84;95%CI:1.35-25.35),working more than 7 night shifts(AOR=3.19;95%CI:1.30–7.82),having less than 5 years of job experience(AOR=5.28;95%CI:1.29-21.65),experiencing poor sleep quality(AOR=5.29;95%CI:1.88-14.89),and exhibiting depressive(AOR=4.46;95%CI:1.59-12.53)and anxiety symptoms(AOR=7.34;95%CI:2.49-21.60).CONCLUSION This study found that nearly one in four healthcare professionals suffers from burnout syndrome.Improving sleep quality,monitoring,and providing mental health support could enhance their well-being and patient care.

Impact of 222-nm ultraviolet disinfection combined with psychological care on the emotional and hospital infection of critical patients

BACKGROUND Empathetic psychological care improves mood and enhances the quality of life in critically ill patients.AIM To study the impact of combining 222-nm ultraviolet(UV)disinfection with empathetic psychological care on emotional states,nosocomial infection rates,and quality of life in critically ill patients.METHODS A total of 202 critically ill patients admitted to Beijing Ditan Hospital(December 2023 to May 2024)were randomly assigned to control(Ctrl,n=101)or observation groups(Obs,n=101).The Ctrl group received 222-nm UV disinfection and routine care,while the Obs group received 222-nm UV disinfection with empathetic psychological care.Emotional states[Self-Rating Anxiety Scale(SAS),Self-Rating Depression Scale(SDS)],hospital infection rates,quality of life(36-Item Short Form Health Survey),and patient satisfaction were evaluated.RESULTS At baseline,there were no significant differences in SAS and SDS scores between the groups(P>0.05).Following care,both groups demonstrated reductions in SAS and SDS scores,with the Obs group exhibiting a significantly greater reduction(P<0.05).The Obs group also experienced a significantly lower overall hospital infection rate(P<0.05).Similarly,while baseline 36-Item Short Form Health Survey scores did not differ significantly between the groups(P>0.05),post-care scores improved in both groups,with a greater improvement observed in the Obs group(P<0.05).Additionally,the Obs group reported higher patient satisfaction ratings(P<0.05).CONCLUSION The combination of 222-nm UV disinfection and empathetic psychological care improves emotional states,reduces hospital infection rates,enhances the quality of life,and increases patient satisfaction among critically ill patients.

Interpersonal skills and emotion management:Impact of social leadership on job satisfaction of workers

Psychological cognition is an important aspect in human psychology and management. This article is aimed to look at interpersonal emotional management interpersonal emotion management as a theoretical important indicator of job satisfaction. The main discussion is on how to predict employees’ job satisfaction through the implementation of interpersonal emotion management strategies and the main source of research is review of existing literature. This review addresses the gap in the literature by reviewing the role of interpersonal emotional management on followers’ job performance. This review finds the relationship between interpersonal emotional management which consists of four dimensions: circumstance adjustment,attentional placement,cognitive change,modulation of emotional response and job satisfaction. Overall,this literature review contributes to the interpersonal emotion management and job satisfaction literatures by providing meaningful management implications to the organizations.

The Awareness of Emotional Intelligence by Nurses and Support Workers in An Acute Hospital Setting

This paper describes one component of the findings of a larger study exploring the experience of ward staff and their response to patient death in an acute hospital setting. A consistent theme arising from the study was the lack of awareness of the concept of emotional intelligence and the way this could be used to manage staff members own emotions in effectively handling stressful situations involving colleagues, patients and relatives. In this article the concept of emotional intelligence within nursing is examined, including how it is recognised and used by nurses and healthcare support workers. Differences between the two staff groups in the study, in relation to their awareness and use of emotional intelligence, are discussed along with consideration of how education can help staff to identify and develop their own level of emotional intelligence.

Impact of propofol and sevoflurane anesthesia on cognition and emotion in gastric cancer patients undergoing radical resection

BACKGROUND Propofol and sevoflurane are commonly used anesthetic agents for maintenance anesthesia during radical resection of gastric cancer.However,there is a debate concerning their differential effects on cognitive function,anxiety,and depression in patients undergoing this procedure.AIM To compare the effects of propofol and sevoflurane anesthesia on postoperative cognitive function,anxiety,depression,and organ function in patients undergoing radical resection of gastric cancer.METHODS A total of 80 patients were involved in this research.The subjects were divided into two groups:Propofol group and sevoflurane group.The evaluation scale for cognitive function was the Loewenstein occupational therapy cognitive assessment(LOTCA),and anxiety and depression were assessed with the aid of the self-rating anxiety scale(SAS)and self-rating depression scale(SDS).Hemodynamic indicators,oxidative stress levels,and pulmonary function were also measured.RESULTS The LOTCA score at 1 d after surgery was significantly lower in the propofol group than in the sevoflurane group.Additionally,the SAS and SDS scores of the sevoflurane group were significantly lower than those of the propofol group.The sevoflurane group showed greater stability in heart rate as well as the mean arterial pressure compared to the propofol group.Moreover,the sevoflurane group displayed better pulmonary function and less lung injury than the propofol group.CONCLUSION Both propofol and sevoflurane could be utilized as maintenance anesthesia during radical resection of gastric cancer.Propofol anesthesia has a minimal effect on patients'pulmonary function,consequently enhancing their postoperative recovery.Sevoflurane anesthesia causes less impairment on patients'cognitive function and mitigates negative emotions,leading to an improved postoperative mental state.Therefore,the selection of anesthetic agents should be based on the individual patient's specific circumstances.

Adolescent suicide risk factors and the integration of socialemotional skills in school-based prevention programs

Adolescents are considered one of the most vulnerable groups affected by suicide.Rapid changes in adolescents’physical and mental states,as well as in their lives,significantly and undeniably increase the risk of suicide.Psychological,social,family,individual,and environmental factors are important risk factors for suicidal behavior among teenagers and may contribute to suicide risk through various direct,indirect,or combined pathways.Social-emotional learning is considered a powerful intervention measure for addressing the crisis of adolescent suicide.When deliberately cultivated,fostered,and enhanced,selfawareness,self-management,social awareness,interpersonal skills,and responsible decision-making,as the five core competencies of social-emotional learning,can be used to effectively target various risk factors for adolescent suicide and provide necessary mental and interpersonal support.Among numerous suicide intervention methods,school-based interventions based on social-emotional competence have shown great potential in preventing and addressing suicide risk factors in adolescents.The characteristics of school-based interventions based on social-emotional competence,including their appropriateness,necessity,cost-effectiveness,comprehensiveness,and effectiveness,make these interventions an important means of addressing the crisis of adolescent suicide.To further determine the potential of school-based interventions based on social-emotional competence and better address the issue of adolescent suicide,additional financial support should be provided,the combination of socialemotional learning and other suicide prevention programs within schools should be fully leveraged,and cooperation between schools and families,society,and other environments should be maximized.These efforts should be considered future research directions.

High-risk factors for delirium in severely ill patients and the application of emotional nursing combined with pain nursing

BACKGROUND Delirium is a neuropsychiatric syndrome characterized by acute disturbances of consciousness with rapid onset,rapid progression,obvious fluctuations,and preventable,reversible,and other characteristics.Patients with delirium in the intensive care unit(ICU)are often missed or misdiagnosed and do not receive adequate attention.AIM To analyze the risk factors for delirium in ICU patients and explore the applica-tion of emotional nursing with pain nursing in the management of delirium.METHODS General data of 301 critically ill patients were retrospectively collected,including histories(cardiovascular and cerebrovascular diseases,hypertension,smoking,alcoholism,and diabetes),age,sex,diagnosis,whether surgery was performed,and patient origin(emergency/clinic).Additionally,the duration of sedation,Richmond Agitation Sedation Scale score,combined emotional and pain care,ven-tilator use duration,vasoactive drug use,drainage tube retention,ICU stay du-ration,C-reactive protein,procalcitonin,white blood cell count,body tempe-rature,Acute Physiology and Chronic Health Evaluation II(APACHE II)score,and Sequential Organ Failure Assessment score were recorded within 24 h after ICU admission.Patients were assessed for delirium according to confusion assessment method for the ICU,and univariate and multivariate logistic regre-ssion analyses were performed to identify the risk factors for delirium in the patients.RESULTS Univariate logistic regression analysis was performed on the 24 potential risk factors associated with delirium in ICU patients.The results showed that 16 risk factors were closely related to delirium,including combined emotional and pain care,history of diabetes,and patient origin.Multivariate logistic regression analysis revealed that no combined emotional and pain care,history of diabetes,emergency source,surgery,long stay in the ICU,smoking history,and high APACHE II score were independent risk factors for de-lirium in ICU patients.CONCLUSION Patients with diabetes and/or smoking history,postoperative patients,patients with a high APACHE II score,and those with emergency ICU admission need emotional and pain care,flexible visiting modes,and early intervention to reduce delirium incidence.

Faster Region Convolutional Neural Network(FRCNN)Based Facial Emotion Recognition

Facial emotion recognition(FER)has become a focal point of research due to its widespread applications,ranging from human-computer interaction to affective computing.While traditional FER techniques have relied on handcrafted features and classification models trained on image or video datasets,recent strides in artificial intelligence and deep learning(DL)have ushered in more sophisticated approaches.The research aims to develop a FER system using a Faster Region Convolutional Neural Network(FRCNN)and design a specialized FRCNN architecture tailored for facial emotion recognition,leveraging its ability to capture spatial hierarchies within localized regions of facial features.The proposed work enhances the accuracy and efficiency of facial emotion recognition.The proposed work comprises twomajor key components:Inception V3-based feature extraction and FRCNN-based emotion categorization.Extensive experimentation on Kaggle datasets validates the effectiveness of the proposed strategy,showcasing the FRCNN approach’s resilience and accuracy in identifying and categorizing facial expressions.The model’s overall performance metrics are compelling,with an accuracy of 98.4%,precision of 97.2%,and recall of 96.31%.This work introduces a perceptive deep learning-based FER method,contributing to the evolving landscape of emotion recognition technologies.The high accuracy and resilience demonstrated by the FRCNN approach underscore its potential for real-world applications.This research advances the field of FER and presents a compelling case for the practicality and efficacy of deep learning models in automating the understanding of facial emotions.

Variations, effectiveness and its associated factors of a nationwide web-based hypertension management training project in China: insights from a government-led campaign for 1.2 million lay health workers

OBJECTIVES To evaluate the effectiveness of a large-scale,web-based,in-service hypertension management training project among lay health workers(LHWs) at primary care health(PHC) settings in China,and to examine the factors contributing to the variations of effectiveness.METHODS We used data from a web-based national hypertension management training project implemented in 2018,it was designed to facilitate LHWs to learn,understand,and apply the relevant knowledge and skills in hypertension management through providing training courses by use of the web-based platform with unified standards.All LHWs were required to participate in the exams before and after training to acquire scores for the use of evaluating their performance of hypertension management knowledge.We first used descriptive analysis to present the variations of effectiveness in hypertension management knowledge among LHWs by important subgroups.Afterwards,we used multilevel logistic regression to examine the individual and regional factors contributing to the variations and quantify the magnitude of how these factors affected training effectiveness.RESULTS There were 1,208,610 LHWs who completed training and were certificated.Nationally,the scores of LHWs increased significantly from 62.87 ± 21.14 out of 100 in the pre-test to 88.30 ± 11.31 in the post-test by 25.43(95% confidence interval[CI]:25.40-25.47).Training contents involved in antihypertensive medication showed the lowest score(54.36) in the pre-test and soared the most after training,up to 84.22 by 54.94%.Individual factors associated with disparities in the knowledge of hypertension management decreased substantially after training,which included sex,age,education,practice type,professional level,and hierarchy of working institutions.Geographical variations were shown at the provincial level,with the majority of them being explained by factors at the regional level.CONCLUSIONS Accessible web-based training modality,government efforts,accompanied with experiences derived from the training,could be generalized to other low-and middle-income countries in facilitating the hypertension management capacity of LHWs.Localization and evaluation is warranted on the way to its further application.

Emotion Measurement Using Biometric Signal

In recent years, research on the estimation of human emotions has been active, and its application is expected in various fields. Biological reactions, such as electroencephalography (EEG) and root mean square successive difference (RMSSD), are indicators that are less influenced by individual arbitrariness. The present study used EEG and RMSSD signals to assess the emotions aroused by emotion-stimulating images in order to investigate whether various emotions are associated with characteristic biometric signal fluctuations. The participants underwent EEG and RMSSD while viewing emotionally stimulating images and answering the questionnaires. The emotions aroused by emotionally stimulating images were assessed by measuring the EEG signals and RMSSD values to determine whether different emotions are associated with characteristic biometric signal variations. Real-time emotion analysis software was used to identify the evoked emotions by describing them in the Circumplex Model of Affect based on the EEG signals and RMSSD values. Emotions other than happiness did not follow the Circumplex Model of Affect in this study. However, ventral attentional activity may have increased the RMSSD value for disgust as the β/θ value increased in right-sided brain waves. Therefore, the right-sided brain wave results are necessary when measuring disgust. Happiness can be assessed easily using the Circumplex Model of Affect for positive scene analysis. Improving the current analysis methods may facilitate the investigation of face-to-face communication in the future using biometric signals.

Effectiveness of mindfulness-based interventions on the well-being of healthcare workers:a systematic review and meta-analysis

Background Growing evidence attests to the efficacy of mindfulness-based interventions(MBIs),but their effectiveness for healthcare workers remains uncertain.Aims To evaluate the evidence for MBIs in improving healthcare workers’psychological well-being.Methods A systematic literature search was conducted on Medline,Embase,Cumulative Index for Nursing and Allied Health Literature,PsycINFO and Cochrane Central Register of Controlled Trials up to 31 August 2022 using the keywords‘healthcare worker’,‘doctor’,‘nurse’,‘allied health’,‘mindfulness’,‘wellness’,‘workshop’and‘program’.Randomised controlled trials with a defined MBI focusing on healthcare workers and quantitative outcome measures related to subjective or psychological well-being were eligible for inclusion.R V.4.0.3 was used for data analysis,with the standardised mean difference as the primary outcome,employing DerSimonian and Laird’s random effects model.Grading of Recommendations,Assessment,Development and Evaluation framework was used to evaluate the quality of evidence.Cochrane’s Risk of Bias 2 tool was used to assess the risk of bias in the included studies.Results A total of 27 studies with 2506 participants were included,mostly from the USA,involving various healthcare professions.MBIs such as stress reduction programmes,apps,meditation and training showed small to large effects on anxiety,burnout,stress,depression,psychological distress and job strain outcomes of the participants.Positive effects were also seen in self-compassion,empathy,mindfulness and well-being.However,long-term outcomes(1 month or longer postintervention)varied,and the effects were not consistently sustained.Conclusions MBIs offer short-term benefits in reducing stress-related symptoms in healthcare workers.The review also highlights limitations such as intervention heterogeneity,reduced power in specific subgroup analyses and variable study quality.

Unveiling health rights:A call to action for sex workers'HIV care in the Philippines

We are writing in response to the article titled“Addressing the needs and rights of sex workers for HIV healthcare services in the Philippines”[1].The article calls for attention on the significant challenges faced by sex workers in the Philippines in accessing HIV healthcare.We appreciate the article’s effort to examine these issues in depth.We would like to present a constant flow of thoughts in this letter while highlighting the positive aspects,potential obstacles,and additional points that contribute to this ongoing discussion.

Assessment of Knowledge, Attitude and Practices among Healthcare Workers in a Tertiary Care Hospital on Needle Stick Injury

Purpose: Needle-stick injury (NSI) is one of the most potential occupational hazards for healthcare workers because of the transmission of blood-borne pathogens. As per recent data, around 30 lakh healthcare workers sustain Needle stick injuries each year. This study was conducted to assess healthcare workers’ knowledge, attitude and practices regarding needle stick injury. Materials & Methods: A cross-sectional study was conducted in a Tertiary Care Hospital over the period of 3 months. The study population consisted of Intern Doctors, Post Graduate resident Doctors, Staff Nurses, laboratory technicians of Government Medical College and New Civil Hospital, Surat (n = 300). The data were collected using a self-administered questionnaire via the means of Google Forms. Questionnaire was made with prior review literature. The data obtained were entered and analysed in Microsoft Excel. Results: The prevalence of NSI in our study was 46%, with a higher prevalence among the PG residents (72%). Overall scores regarding knowledge and attitude were better in PG residents (knowledge score > 7 in 71% and Attitude Score > 7 in 68% of PG Residents). Even though the PG residents scored highest in the knowledge category, the majority of them suffered needle stick injuries as a result of poor practice scores. Among those who had NSI (n = 139/300), 70% of study participants had superficial injuries, only 9% reported the incident, 18% got medical attention within 2 hours of the incident, and 7% followed up to recheck their viral markers status. Most incidents of NSI were due to hypodermic needles while recapping needles. Conclusion: Exposure to needle stick injuries and their underreporting remains a common problem. It is imperative that healthcare workers receive regular training on the proper handling of sharp objects. We can also draw the conclusion that preventing NSIs requires putting knowledge into practice.

Rational and Continuous Measurement of Emotional-Fingerprint, Emotional-Quotient and Categorical vs Proportional Recognition of Facial Emotions with M.A.R.I.E., Second Half

Context: The advent of Artificial Intelligence (AI) requires modeling prior to its implementation in algorithms for most human skills. This observation requires us to have a detailed and precise understanding of the interfaces of verbal and emotional communications. The progress of AI is significant on the verbal level but modest in terms of the recognition of facial emotions even if this functionality is one of the oldest in humans and is omnipresent in our daily lives. Dysfunction in the ability for facial emotional expressions is present in many brain pathologies encountered by psychiatrists, neurologists, psychotherapists, mental health professionals including social workers. It cannot be objectively verified and measured due to a lack of reliable tools that are valid and consistently sensitive. Indeed, the articles in the scientific literature dealing with Visual-Facial-Emotions-Recognition (ViFaEmRe), suffer from the absence of 1) consensual and rational tools for continuous quantified measurement, 2) operational concepts. We have invented a software that can use computer-morphing attempting to respond to these two obstacles. It is identified as the Method of Analysis and Research of the Integration of Emotions (M.A.R.I.E.). Our primary goal is to use M.A.R.I.E. to understand the physiology of ViFaEmRe in normal healthy subjects by standardizing the measurements. Then, it will allow us to focus on subjects manifesting abnormalities in this ability. Our second goal is to make our contribution to the progress of AI hoping to add the dimension of recognition of facial emotional expressions. Objective: To study: 1) categorical vs dimensional aspects of recognition of ViFaEmRe, 2) universality vs idiosyncrasy, 3) immediate vs ambivalent Emotional-Decision-Making, 4) the Emotional-Fingerprint of a face and 5) creation of population references data. Methods: M.A.R.I.E. enables the rational, quantified measurement of Emotional Visual Acuity (EVA) in an individual observer and a population aged 20 to 70 years. Meanwhile, it can measure the range and intensity of expressed emotions through three Face- Tests, quantify the performance of a sample of 204 observers with hypernormal measures of cognition, “thymia” (defined elsewhere), and low levels of anxiety, and perform analysis of the six primary emotions. Results: We have individualized the following continuous parameters: 1) “Emotional-Visual- Acuity”, 2) “Visual-Emotional-Feeling”, 3) “Emotional-Quotient”, 4) “Emotional-Decision-Making”, 5) “Emotional-Decision-Making Graph” or “Individual-Gun-Trigger”, 6) “Emotional-Fingerprint” or “Key-graph”, 7) “Emotional-Fingerprint-Graph”, 8) detecting “misunderstanding” and 9) detecting “error”. This allowed us a taxonomy with coding of the face-emotion pair. Each face has specific measurements and graphics. The EVA improves from ages of 20 to 55 years, then decreases. It does not depend on the sex of the observer, nor the face studied. In addition, 1% of people endowed with normal intelligence do not recognize emotions. The categorical dimension is a variable for everyone. The range and intensity of ViFaEmRe is idiosyncratic and not universally uniform. The recognition of emotions is purely categorical for a single individual. It is dimensional for a population sample. Conclusions: Firstly, M.A.R.I.E. has made possible to bring out new concepts and new continuous measurements variables. The comparison between healthy and abnormal individuals makes it possible to take into consideration the significance of this line of study. From now on, these new functional parameters will allow us to identify and name “emotional” disorders or illnesses which can give additional dimension to behavioral disorders in all pathologies that affect the brain. Secondly, the ViFaEmRe is idiosyncratic, categorical, and a function of the identity of the observer and of the observed face. These findings stack up against Artificial Intelligence, which cannot have a globalist or regionalist algorithm that can be programmed into a robot, nor can AI compete with human abilities and judgment in this domain. *Here “Emotional disorders” refers to disorders of emotional expressions and recognition.

Rational and Continuous Measurement of the Emotional Decision Making in Visual Recognition of Facial Emotional Expressions with M.A.R.I.E.: First Half

Context: The advent of Artificial Intelligence (AI) requires modeling prior to its implementation in algorithms for most human skills. This observation requires us to have a detailed and precise understanding of the interfaces of verbal and emotional communications. The progress of AI is significant on the verbal level but modest in terms of the recognition of facial emotions even if this functionality is one of the oldest in humans and is omnipresent in our daily lives. Dysfunction in the ability for facial emotional expressions is present in many brain pathologies encountered by psychiatrists, neurologists, psychotherapists, mental health professionals including social workers. It cannot be objectively verified and measured due to a lack of reliable tools that are valid and consistently sensitive. Indeed, the articles in the scientific literature dealing with Visual-Facial-Emotions-Recognition (ViFaEmRe), suffer from the absence of 1) consensual and rational tools for continuous quantified measurement, 2) operational concepts. We have invented a software that can use computer-morphing attempting to respond to these two obstacles. It is identified as the Method of Analysis and Research of the Integration of Emotions (M.A.R.I.E.). Our primary goal is to use M.A.R.I.E. to understand the physiology of ViFaEmRe in normal healthy subjects by standardizing the measurements. Then, it will allow us to focus on subjects manifesting abnormalities in this ability. Our second goal is to make our contribution to the progress of AI hoping to add the dimension of recognition of facial emotional expressions. Objective: To study: 1) categorical vs dimensional aspects of recognition of ViFaEmRe, 2) universality vs idiosyncrasy, 3) immediate vs ambivalent Emotional-Decision-Making, 4) the Emotional-Fingerprint of a face and 5) creation of population references data. Methods: With M.A.R.I.E. enable a rational quantified measurement of Emotional-Visual-Acuity (EVA) of 1) a) an individual observer, b) in a population aged 20 to 70 years old, 2) measure the range and intensity of expressed emotions by 3 Face-Tests, 3) quantify the performance of a sample of 204 observers with hyper normal measures of cognition, “thymia,” (ibid. defined elsewhere) and low levels of anxiety 4) analysis of the 6 primary emotions. Results: We have individualized the following continuous parameters: 1) “Emotional-Visual-Acuity”, 2) “Visual-Emotional-Feeling”, 3) “Emotional-Quotient”, 4) “Emotional-Deci-sion-Making”, 5) “Emotional-Decision-Making Graph” or “Individual-Gun-Trigger”6) “Emotional-Fingerprint” or “Key-graph”, 7) “Emotional-Finger-print-Graph”, 8) detecting “misunderstanding” and 9) detecting “error”. This allowed us a taxonomy with coding of the face-emotion pair. Each face has specific measurements and graphics. The EVA improves from ages of 20 to 55 years, then decreases. It does not depend on the sex of the observer, nor the face studied. In addition, 1% of people endowed with normal intelligence do not recognize emotions. The categorical dimension is a variable for everyone. The range and intensity of ViFaEmRe is idiosyncratic and not universally uniform. The recognition of emotions is purely categorical for a single individual. It is dimensional for a population sample. Conclusions: Firstly, M.A.R.I.E. has made possible to bring out new concepts and new continuous measurements variables. The comparison between healthy and abnormal individuals makes it possible to take into consideration the significance of this line of study. From now on, these new functional parameters will allow us to identify and name “emotional” disorders or illnesses which can give additional dimension to behavioral disorders in all pathologies that affect the brain. Secondly, the ViFaEmRe is idiosyncratic, categorical, and a function of the identity of the observer and of the observed face. These findings stack up against Artificial Intelligence, which cannot have a globalist or regionalist algorithm that can be programmed into a robot, nor can AI compete with human abilities and judgment in this domain. *Here “Emotional disorders” refers to disorders of emotional expressions and recognition.

What Does Research Say for Improving the Efficiency of Lady Healthcare Workers in Pakistan? Review Article

Background: In Pakistan, the crucial role of Lady Health Workers (LHWs) cannot be over looked and must be supported. Their alliance position between the community and health system allows them to provide services to the most marginalised groups. However, LHWs face numerous challenges and issues resulting in reduced efficiency and effectiveness of LHW program. Aims: The study aims to identify the challenges highlighted in various studies that undermine the performance of LHWs and attempts to combine the recommendations of the studies for addressing these challenges. Methods: Literature search included articles from 2000 to 2024. PubMed and Google Scholar were the main search engines utilized. Initial search resulted in 1380 articles, out of which only those showing a link to the study title were included in the study. From the total articles searched, 55 were selected for writing this article. Results: Literature highlighted the importance of community selection, monitoring, monetary as well as non-financial incentives;trainings;availability of supervision, workload balance, monitoring;recognition, clarity on roles, resources and uninterrupted supply of logistics, support and embedment of LHWs in community and health system. Lack or poor quality of these aspects may lead to low performance of LHWs. Conclusions: This paper explores the extent of issues and challenges faced by LHWs in Pakistan. A number of interventions appear to be effective in improving the efficiency of LHWs in Pakistan. The review may serve as an essential resource for program planners and decision-makers in improving the effectiveness and efficiency of LHW programs.

Prevalence and Factors Associated with Violence among Primary and Secondary School Workers in Ouagadougou, Burkina Faso

Introduction: Violence is a major problem in today’s workplace. It affects workers in all sectors of activity. The aim of the study was to determine the prevalence and factors associated with violence among primary and secondary school staff in Ouagadougou. Materials and Methods: This was a cross-sectional, descriptive and analytical study that took place from April 22, 2020 to February 18, 2021 in primary and secondary schools in Ouagadougou. It focused on the educational staff of these establishments. Results: A total of 362 agents took part in the study. The average age of participants was 36.5 ± 6.89 years. The sex ratio was 1.62 men to one woman. The majority of workers were teachers, with 300 participants (82.87%). The average job tenure was 7 years ± 6.91 years. With regard to violence in the workplace, 87 workers were victims, representing a prevalence of 24.03%. Of these workers, 59 (67.81%) were men and 36 (41.38%) had less than six years’ experience. Acts of violence were predominantly pushing observed in 15 workers (50%), while shouting and aggressive tone dominated psychological violence and concerned 54 cases (36.24%). On univariate analysis, the factors associated with violence were age (p = 0.046) and type of establishment (p = 0.012). On multivariate analysis, only the nature of the establishment was the only factor associated with the occurrence of violence among teaching staff (OR = 2.3690, p = 0.0213). Conclusion: The prevalence of violence is high in these educational establishments. Age and type of establishment are factors associated with its occurrence. It is therefore necessary to develop an effective strategy for preventing this risk in the workplace.

Practice and Determinants of Infection Prevention and Control Measures among Health Care Workers at Benjamin Mkapa Hospital, Dodoma-Tanzania

Introduction: Infection Prevention and Control are scientific approaches and practical solutions designed to prevent harm caused by infection to patients and health workers. The study aimed to assess Infection prevention and control practices and determinants. Method: The hospital-based analytical cross-sectional study design was employed through a convenience approach. The SPSS version 26 was used for data analysis. Results: 72.5% of healthcare workers at Benjamin Mkapa Hospital observed not performing hand hygiene before direct contact with the patient or before the procedure and 60.3% observed performing hand hygiene after direct contact with the patient or after removing gloves. Professionals (Doctors, Medical attendants, and Nurses) were significantly practiced more in infection prevention and control by 2.860, 2.923, and 3.237 units respectively compared to pharmacy personnel. Conclusion: The sustainable availability of Infection Prevention and Control resources is important to enhance a healthy working environment. The current study has shown that the availability of Equipment and Supplies was 100% for gloves, face masks, and sanitizer. The multivariate results showed a statistically significant relationship between those trained in IPC and those more likely to practice IPC than those not trained.

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Identifying workers’construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress.However,current activity analysis methods for construction workers rely solely on manual observations and recordings,which consumes considerable time and has high labor costs.Researchers have focused on monitoring on-site construction activities of workers.However,when multiple workers are working together,current research cannot accu rately and automatically identify the construction activity.This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers.In this framework,multiple deep neural network models are designed and used to complete worker key point extraction,worker tracking,and worker construction activity analysis.The designed framework was tested at an actual construction site,and activity recognition for multiple workers was performed,indicating the feasibility of the framework for the automated monitoring of work efficiency.