Strengthening Active Aging through Older People’s Association and Economic Activity of the Older People in Nepal

Aging is a natural lifelong process ending in death. Many older people are living in poverty. Older people are generally considered dependent on others as they grow older. The purpose of this article is to explore the entrepreneurship activities of Nepalese older adults. Data for this study were collected from the project Help Age International (HAI) implemented in Nepal. Qualitative data observations and interviews were used to collect data. The findings of this study show the formation of the Older People’s Association (OPA) has supported many older people to participate outside the home in various social activities. Moreover, regular deposits through OPAs offer little help. OPAs support older people in their need of financial support to implement minor entrepreneurship. Older people who received support were pleased and were actively involved in their activities and also regularly deposited money in them. Subsequently, older people’s participation in social activities has increased and also helped to lower elderly abuse, loneliness, and depression. Local governments should promote such activities which will help with healthy aging.

Alcohol and illicit drugs:prevalence of alcohol and illicit drug use and their predictors in young people from Argentina,Bulgaria,Chile and Romania

Background:Alcohol and illicit drugs(AID)continue to be a major global health concern.Although preventable,AID is linked to millions of deaths annually worldwide.The situation is particularly grave for young people,with AID being a major direct risk factor for disability-adjusted youth life-years lost and death.It further contributes to assaults,road crashes,accidental poisoning,and suicide,leading to long-term issues and public health concerns.Objective:This study aimed at disclosing current AID prevalence data for Argentinian,Bulgarian,Chilean and Romanian youth.It shed light on the predictors of AID in young people from those countries.Method:The study used an online survey to gather data from people aged 18 to 25(n=1,297).The survey was underpinned by the theory of planned behaviour(TPB).Predictors were investigated separately for drinking alcohol and using illicit drugs.Results:Our data revealed that across the four target countries,49%to 90%of the participants drank alcohol,and 8%to 35%used illicit drugs in the past three months.Between 20%and 91%of them intended to drink,and between 8%and 31%intended to use illicit drugs in the following three months.Our TPB model predicted statistically significant(P<0.001)amounts of variance in drinking alcohol(between 61%and 72%)and using illicit drugs(between 20.3%and 74.4%).Intention was consistent in significantly predicting both behaviours.Evidence around the predictive validity of self-efficacy,age and gender was mixed across the investigated countries.Conclusion:This research provided an update on the scarce AID epidemiological data.It also supplied evidence about what theoretically-informed measures might be useful targets of interventions in the case of Argentina,Bulgaria,Chile and Romania.This new knowledge of understanding substance abuse determinants and prevalence may help researchers and practitioners better meet young people's health prevention needs.

Practice of Barrier Measures against COVID-19 Among Diabetic People Followed at Departmental University Hospital Center Ouémé-Plateau, Benin, in 2021

Introduction: COVID-19 is a pandemic disease caused by the coronavirus SARS-COV2 appeared in China in 2019. The aim of the study was to evaluate the practice of barrier measures against COVID-19 and to identify associated factors among diabetics followed at Departmental University Hospital Center Ouémé-Plateau, Benin, in 2021. Methods: This was a cross-sectional study conducted from June to August 2021, including diabetics aged 18 and over, hospitalized or received for medical visits in the department of medicine at the target hospital. Data were collected during an interview with each participant thanks to a questionnaire. “Good practice” was defined as regular practice of at least two of three barrier measures: hand washing, physical distancing and mask-wearing. Results: A total of 110 diabetics were included with a female predominance (55.5%) and a mean age of 57 ± 11.3 years. Among them, 89.1% washed their hands, 41.8% respected physical distancing and 12.7% wore a mask. The proportion of good practice was 47.3%. Only 5 practiced the three barrier measures. Only age group was associated with good practice. Conclusion: The study showed a low proportion of good practice of barrier measures against COVID-19 among diabetic people surveyed. It is important to continue the action for COVID-19 prevention among diabetic people in the targeted hospital and in other hospitals in Benin.

Assessing Barriers to Mental Healthcare Interventions for Deaf People in Ghana

While mental health issues are increasingly gaining attention in Ghana, little is known about the situation among deaf people. This study assessed the mental health care needs of deaf people in Ghana. A descriptive design, consisting of interviews and focus group discussions, was used to collect data from 97 participants. Findings indicated that participants had limited knowledge on mental health issues. Mental health stigma, inaccessible mental health information and exclusion from mental health programmes were the major barriers hindering access to mental health care services. This study bridges the knowledge gap and provides evidence for the implementation of deaf-friendly services.

Understanding Behavioral Manifestations of Obsessive-Compulsive Disorder in People with Intellectual Disabilities—A Qualitative Study

Background: There is limited knowledge about obsessive-compulsive disorder (OCD) in people with intellectual disabilities (IDs). This paper describes the manifestation of compulsive behaviors associated with OCD at the behavioral level in people with ID in institutionalized settings. The aim was to gain nuanced insight into appropriate understanding and classification in this specific context, and derive implications for research and practice. Methods: Individual cases of people with ID (n = 7) were studied to assess compulsive symptoms through two days of on-site observation of the person with ID within the institution, guided group discussions (n = 28), and semi-structured interviews with key informants and caregivers of the person with ID (n = 20). Caregiver ratings of the compulsive behavior checklist were compiled. Data were analyzed using qualitative content analysis. Results: All forms of OCD were present. Characteristics of compulsive behaviors in people with ID at the behavioral level included less complex and more obvious compulsive acts, immediate responses, signs of tension, motor restlessness, facial expression changes, repetition, need for predictability, time-consuming behaviors, and aggressive reactions when these acts were interrupted. Some of the compulsive behaviors corresponded to the ICD-11 OCD code 6B20, and others to compulsions as a psychological symptom (MB23.4). Conclusions: OCD may manifest atypically at the behavioral level in people with ID, posing significant challenges for accurate classification due to symptom ambiguity. Follow-up differential diagnostic studies are needed to more accurately identify and differentiate OCD symptoms in people with ID. Further, disorder-specific guidelines for recognizing OCD in people with ID are needed for institutionalized settings without psychiatric-psychotherapeutic expertise.

Towards complex scenes: A deep learning-based camouflaged people detection method for snapshot multispectral images

Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.

Efficient People Detection with Infrared Images

This work focuses on the problem of monitoring the coastline, which in Portugal’s case means monitoring 3007 kilometers, including 1793 maritime borders with the Atlantic Ocean to the south and west. The human burden on the coast becomes a problem, both because erosion makes the cliffs unstable and because pollution increases, making the fragile dune ecosystem difficult to preserve. It is becoming necessary to increase the control of access to beaches, even if it is not a popular measure for internal and external tourism. The methodology described can also be used to monitor maritime borders. The use of images acquired in the infrared range guarantees active surveillance both day and night, the main objective being to mimic the infrared cameras already installed in some critical areas along the coastline. Using a series of infrared photographs taken at low angles with a modified camera and appropriate filter, a recent deep learning algorithm with the right training can simultaneously detect and count whole people at close range and people almost completely submerged in the water, including partially visible targets, achieving a performance with F1 score of 0.945, with 97% of targets correctly identified. This implementation is possible with ordinary laptop computers and could contribute to more frequent and more extensive coverage in beach/border surveillance, using infrared cameras at regular intervals. It can be partially automated to send alerts to the authorities and/or the nearest lifeguards, thus increasing monitoring without relying on human resources.

Associations of PNPLA3 and LEP genetic polymorphisms with metabolic-associated fatty liver disease in Thai people living with human immunodeficiency virus

BACKGROUND The prevalence of metabolic-associated fatty liver disease(MAFLD)is a growing public health issue in people living with human immunodeficiency virus(PLWH).However,the pathophysiology of MAFLD is still unknown,and the role of genetic variables is only now becoming evident.AIM To evaluate the associations of gene-polymorphism-related MAFLD in PLWH.METHODS The study employed transient elastography with a controlled attenuation parameter≥248 dB/m to identify MAFLD in patients from a Super Tertiary Hospital in central Thailand.Candidate single-nucleotide polymorphisms(SNPs)were genotyped using TaqMan®MGB probe 5'nuclease assays for seven MAFLD-related genes.Statistical analyses included SNP frequency analysis,Fisher's Exact and Chi-square tests,odds ratio calculations,and multivariable logistic regression.RESULTS The G-allele carriers of PNPLA3(rs738409)exhibited a two-fold rise in MAFLD,increasing by 2.5 times in MAFLD with human immunodeficiency virus infection.The clinical features and genetic patterns imply that LEP rs7799039 A-allele carriers had a nine times(P=0.001)more significant chance of developing aberrant triglyceride among PLWH.CONCLUSION The current study shows an association between PNPLA3 rs738409 and LEP rs7799039 with MAFLD in PLWH.

Narrative Empathy and Patriotism--An Analysis of the Chinese“Main-Melody”Film My People,My Country

Narrative empathy is a relatively new theory and it can guide researchers in the studies of main-melody films so as to promote the communication of the core values of the society.The rhetorical mechanism of narrative empathy can be illustrated from five rhetorical elements,including rhetor,rhetorical goal,rhetorical situation,rhetorical strategy and audience.The theory of narrative empathy can be applied to the case study of the film My People,My Country.In the production of this film,the directors are the rhetors.The rhetors uphold the tenet of closeness,choose the right rhetorical situation as the 70th birthday of the People’s Republic of China,and use appropriate rhetorical strategies in order to realize the rhetorical goals of evoking empathy and inspiring patriotic feelings in the audience’s minds.An exploration and application of narrative empathy can be conducive to the empathic communication of Chinese main-melody films in order to achieve better communication effect.

Hepatitis C virus eradication in people living with human immunodeficiency virus:Where are we now?

Hepatitis C virus(HCV)/human immunodeficiency virus(HIV)co-infection still involves 2.3 million patients worldwide of the estimated 37.7 million living with HIV,according to World Health Organization.People living with HIV(PLWH)are six times greater affected by HCV,compared to HIV negative ones;the greater prevalence is encountered among people who inject drugs and men who have sex with men:the risk of HCV transmission through sexual contact in this setting can be increased by HIV infection.These patients experience a high rate of chronic hepatitis,which if left untreated progresses to end-stage liver disease and hepato-cellular carcinoma(HCC)HIV infection increases the risk of mother to child vertical transmission of HCV.No vaccination against both infections is still available.There is an interplay between HIV and HCV infections.Treatment of HCV is nowadays based on direct acting antivirals(DAAs),HCV treatment plays a key role in limiting the progression of liver disease and reducing the risk of HCC development in mono-and coinfected individuals,especially when used at an early stage of fibrosis,reducing liver disease mortality and morbidity.Since the sustained virological response at week 12 rates were observed in PLWH after HCV eradication,the AASLD has revised its simplified HCV treatment algorithm to also include individuals living with HIV.HCV eradication can determine dyslipidemia,since HCV promotes changes in serum lipid profiles and may influence lipid metabolism.In addition to these apparent detrimental effects on the lipid profile,the efficacy of DAA in HCV/HIV patients needs to be considered in light of its effects on glucose metabolism mediated by improvements in liver function.The aim of the present editorial is to describe the advancement in HCV treatment among PLWH.

The Value and Realization Strategy of Teacher Ethics Construction in Colleges and Universities under the Perspective of“Cultivating People by Virtue”

“Cultivating people by virtue”has become the foundation of China’s education,and is the top priority of college education.“Only the learned can become teachers,and only those who behave properly can become role models”.The construction of teachers’ethics in colleges and universities is the premise of realizing the fundamental task of moral education,the need of teachers,the key to realizing the great rejuvenation of the Chinese nation,and it is also the way to correct the bad atmosphere in colleges and universities.In the construction of teachers’ethics,teachers should understand their roles and improve their professional ethics,schools should improve the guarantee system of teachers’ethics construction,meanwhile,improve the status of teachers and create a social environment of respecting teachers and valuing teachers.

Current research on alexithymia in elderly people in nursing institutions: a scoping review

To describe and analyze the research status of alexithymia in elderly people in nursing institutions,and summarizes the existing research results and shortcomings.The literature in PubMed,CochraneLibrary,Web of Science,EBSCO,Proquest,Scopus,Sinomed,CNKI,WanFang,VIP was computer searched,and the time frame was build to October 30,2023.A total of 15 articles were included,comprising 10 in Chinese and 5 in English.Among them,14 articles were cross-sectional studies reporting the prevalence and influencing factors of communication disorders in elderly people residing in nursing homes.A total of three assessment tools were used.Additionally,three articles described preventive or intervention measures targeting alexithymia.Alexithymia has a high incidence and severity among elderly individuals in nursing institutions.Currently,there are only a few assessment tools available,and experimental studies are notably scarce.Future research should focus on enhancing the understanding of alexithymia in this population by developing and validating more comprehensive assessment tools,diversifying research methodologies,and conducting intervention studies that consider the various influencing factors.

Application of horticulture therapy as a health intervention for elderly people in nursing homes:a scoping review

Objective:To review the scope of interventional studies on horticultural therapy(HT)applied to elderly people in nursing institutions to support the efficient implementation of HT among this target group.Methods:In accordance with the scoping review framework proposed by the Joanna Briggs Institute(JBI),the Pub Med,JSTOR,Web of Science,CNKI,and Wanfang databases were searched.Data from the retrieved literature were summarized and analyzed.Results:In all,18 studies were included in this review.The target population groups of interventions included self-supporting elderly people,cognitively impaired elderly people,elderly people with negative emotions,and elderly people with frailty living in nursing institutions.HT interventions,including planting,craft activities,derivative activities,and outdoor viewing activities,are implemented indoors,outdoors,or in mixed settings.The most common duration of the intervention was 8 weeks,the most common frequency was once per week,and the most common session duration was 60 min.Conclusions:The measurements used in HT interventions included assessments of physical,psycho-mental,and social health;quality of life;and activity effects.Future studies should include partially dependent groups and completely dependent groups of elderly individuals,interventions that last at least 6 months,scientifically designed activity intensity and safety-guarantee plans,and outcomeevaluation indicators such as compliance and intervention benefits.

新媒体时代非虚构写作的叙事嬗变——以微信公众号“剥洋葱people”为例

本文以微信公众号“剥洋葱people”为研究对象,分析探究了非虚构写作的媒介转向、公众号推文的特色与现状。同时,文章对该类平台的价值进行追问,探讨在新媒体时代到来、“非虚构”思潮成为学界热点话题的当下,以“剥洋葱people”微信公众号为代表的非虚构写作平台的叙事模式变迁,及其对非虚构理论的运用和发展。

Historical review and reflections on the participation of acupuncture and moxibustion in the treatment of epidemics in the People’s Republic of China (from 1950 until now)

Since the establishment of the People’s Republic of China, both the Communist Party and the government have placed great emphasis on the advancement of traditional Chinese medicine. Acupuncture and moxibustion have been actively involved in combating major epidemics such as malaria, schistosomiasis, and COVID-19. This article conducts a historical review of these three significant cases to elucidate how the acupuncture community has effectively utilized its unique advantages and characteristics through theoretical discussions, clinical practices, experimental research, as well as receiving administrative leadership and political support from the Communist Party of China and government. We provide an objective evaluation of their effectiveness while summarizing historical experiences to serve as a reference for future utilization of acupuncture and moxibustion therapy in epidemic relief efforts. Additionally, propose four suggestions: strengthening Party leadership and enhancing political support;timely summarization of experiences to establish programs and systems;deepening scientific research by integrating experimental findings with clinical practice;focusing on public awareness campaigns and education to solidify grassroots foundations.

The Pursuit of Unhappiness:The Ground Theory to Explain Why People Choose to Be Unhappy Rather Than Happy

This article presents a ground theory to explain why some individuals choose to be unhappy rather than happy,supported by empirical data collected from a sample of 750 professionals in Greece’s public and private sectors.We begin by reviewing the existing literature on happiness and well-being,highlighting the debate between hedonic and eudaimonic perspectives.We then introduce our research questions and rationale,and describe our methods,sample,and psychometric tools used to measure happiness and other variables of interest.Our results indicate that various factors,including cultural influences,past experiences,and personal values,contribute to individuals’pursuit of unhappiness.We conclude with a thorough discussion of our results and their implications for future research and interventions aimed at promoting well-being.

The Psychosomatic Traits of“People with the Five Elements in Traditional Chinese Medicine”:A Qualitative Study

Objective To identify the representative attributes of the five elements of a person with a qualitative methodology and provide the basis for the clinical diagnosis and treatment of“people with the five elements in traditional Chinese medicine(TCM).”Methods Data collected from the literature review,two sessions of brainstorming of experts with related experience in“people with the five elements in TCM”from October 2020 to December 2020,and six rounds of in-depth interviews with 30 participants who had various attributes of the five elements from March 2021 to October 2021 were analyzed.Triangulation was used in this study,and theming and synthesizing were used to analyze the data.Results A total of 31 experts and 30 interviewees participated in this study.The median age of the experts and interviewees were 48.0 and 38.5 years,respectively;51.66%and 54.8%of experts and interviewees,respectively,were men.The descriptors of facial diagrams of“people with the five elements in TCM”were complexion,shape,distribution state of facial bones,convergence trend of facial muscles,and facial expression.A theoretical model of“people with the five elements in TCM”was shaped based on these findings.Conclusion The study suggests a possibility for bridging the gap between personality and bodily state,identifying an avenue for personality research from the perspective of TCM.

Deep Transfer Learning-Enabled Activity Identification and Fall Detection for Disabled People

The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event detection.This is especially applicable in the case of elderly or disabled people who live self-reliantly in their homes.These sensors produce a huge volume of physical activity data that necessitates real-time recognition,especially during emergencies.Falling is one of the most important problems confronted by older people and people with movement disabilities.Numerous previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled people.But,the costs incurred upon installation and operation are high,whereas the technology is relevant only for indoor environments.Currently,commercial wearables use a wireless emergency transmitter that produces a number of false alarms and restricts a user’s movements.Against this background,the current study develops an Improved WhaleOptimizationwithDeep Learning-Enabled Fall Detection for Disabled People(IWODL-FDDP)model.The presented IWODL-FDDP model aims to identify the fall events to assist disabled people.The presented IWODLFDDP model applies an image filtering approach to pre-process the image.Besides,the EfficientNet-B0 model is utilized to generate valuable feature vector sets.Next,the Bidirectional Long Short Term Memory(BiLSTM)model is used for the recognition and classification of fall events.Finally,the IWO method is leveraged to fine-tune the hyperparameters related to the BiLSTM method,which shows the novelty of the work.The experimental analysis outcomes established the superior performance of the proposed IWODL-FDDP method with a maximum accuracy of 97.02%.

Endoscopy demand among county people in southeast China:A cross-sectional study

Objective The popularization of gastroenteroscopy and the introduction of comfortable medical care have further promoted the growth of people's demand,especially the demand for painless endoscopy.This cross-sectional study aims to investigate the current situation and change in county people's demand for endoscopy to promote the development of endoscopy centers in county hospitals in southeast China.Methods From October to December 2021,patients and their family members who came to the Gastroenterology Department in Suichang County People's Hospital of Zhejiang Province were randomly selected to complete the questionnaire.A total of 838 valid questionnaires were collected.Additionally,the original software data of the Endoscopy Center were sampled and retrieved(from October to December every year from 2018 to 2021)for statistical analysis of real-world data.Those who would choose painless endoscopy the next time in the valid questionnaires were included in the painless endoscopy group,while those who would choose ordinary endoscopy the next time were included in the ordinary endoscopy group.Results The stepwise forward binary logistic regression model analysis showed that,patients with“secondhand smoke exposure”were more willing to choose painless endoscopy(OR=1.459,95%CI:1.050-2.028,p=0.025).However,patients with an education level of“primary and below”and“junior high school”,and patients who are suffering from“currently experiencing abdominal distension”,were more willing to choose ordinary endoscopy(OR=0.270,95%CI:0.149-0.488,p<0.001;OR=0.528,95%CI:0.330-0.845,p=0.008;OR=0.536,95%CI:0.334-0.861,p=0.010).Patients with previous experience in painless endoscopy tended to choose painless endoscopy the next time,while patients with previous experience in ordinary endoscopy tended to choose ordinary endoscopy the next time(χ^(2)=140.97,p<0.001).From 2018 to 2021,the proportion of painless endoscopy has increased yearly(p<0.001).Most patients indicated that they would“regularly review gastroenteroscopy”(477/838,56.9%).Conclusions With Suichang County of Zhejiang Province as the representative,the demand for painless endoscopy for people's gastrointestinal cancer detection in southeast China has been increasing yearly.The development of endoscopy centers in county-level hospitals can basically meet the demand growth.Meanwhile,advanced concepts such as comfortable medical care and regular follow-up are gradually popularized at the grassroots level in southeast China.

Combining stochastic density functional theory with deep potential molecular dynamics to study warm dense matter

In traditional finite-temperature Kohn–Sham density functional theory(KSDFT),the partial occupation of a large number of high-energy KS eigenstates restricts the use of first-principles molecular dynamics methods at extremely high temperatures.However,stochastic density functional theory(SDFT)can overcome this limitation.Recently,SDFT and the related mixed stochastic–deterministic density functional theory,based on a plane-wave basis set,have been implemented in the first-principles electronic structure software ABACUS[Q.Liu and M.Chen,Phys.Rev.B 106,125132(2022)].In this study,we combine SDFT with the Born–Oppenheimer molecular dynamics method to investigate systems with temperatures ranging from a few tens of eV to 1000 eV.Importantly,we train machine-learning-based interatomic models using the SDFT data and employ these deep potential models to simulate large-scale systems with long trajectories.Subsequently,we compute and analyze the structural properties,dynamic properties,and transport coefficients of warm dense matter.