Profiles, exposure assessment and expanded screening of PAHs and their derivatives in one petroleum refinery facility of China.

This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons (PAHs) and their derivatives in one Chinese petroleum refinery facility. It was found that, following with high concentrations of 16 EPA PAHs (∑Parent-PAHs) in smelting subarea of studied petroleum refinery facility, total derivatives of PAHs [named as XPAHs, including nitro PAHs (NPAHs), chlorinated PAHs (Cl-PAHs), and brominated PAHs (Br-PAHs)] in gas (mean= 1.57 × 104 ng/m3), total suspended particulate (TSP) (mean= 4.33 × 103 ng/m3) and soil (mean= 4.37 × 103 ng/g) in this subarea had 1.76-6.19 times higher levels than those from other subareas of this facility, surrounding residential areas and reference areas, indicating that petroleum refining processes would lead apparent derivation of PAHs. Especially, compared with those in residential and reference areas, gas samples in the petrochemical areas had higher ∑NPAH/∑PAHs (mean=2.18), but lower ∑Cl-PAH/∑PAHs (mean=1.43 × 10-1) and ∑Br-PAH/∑PAHs ratios (mean=7.49 × 10-2), indicating the richer nitrification of PAHs than chlorination during petrochemical process. The occupational exposure to PAHs and XPAHs in this petroleum refinery facility were 24-343 times higher than non-occupational exposure, and the ILCR (1.04 × 10-4) for petrochemical workers was considered to be potential high risk. Furthermore, one expanded high-resolution screening through GC Orbitrap/MS was performed for soils from petrochemical area, and another 35 PAHs were found, including alkyl-PAHs, phenyl-PAHs and other species, indicating that profiles and risks of PAHs analogs in petrochemical areas deserve further expanded investigation.

Assessment of internal exposure risk from metals pollution of occupational and non-occupational populations around a non-ferrous metal smelting plant.

Non-ferrous metal smelting poses significant risks to public health. Specifically, the copper smelting process releases arsenic, a semi-volatile metalloid, which poses an emerging exposure risk to both workers and nearby residents. To comprehensively understand the internal exposure risks of metal(loid)s from copper smelting, we explored eighteen metal(loid)s and arsenic metabolites in the urine of both occupational and non-occupational populations using inductively coupled plasma mass spectrometry with high-performance liquid chromatography and compared their health risks. Results showed that zinc and copper (485.38 and 14.00 µg/L), and arsenic, lead, cadmium, vanadium, tin and antimony (46.80, 6.82, 2.17, 0.40, 0.44 and 0.23 µg/L, respectively) in workers (n=179) were significantly higher compared to controls (n=168), while Zinc, tin and antimony (412.10, 0.51 and 0.15 µg/L, respectively) of residents were significantly higher than controls. Additionally, workers had a higher monomethyl arsenic percentage (MMA%), showing lower arsenic methylation capacity. Source appointment analysis identified arsenic, lead, cadmium, antimony, tin and thallium as co-exposure metal(loid)s from copper smelting, positively relating to the age of workers. The hazard index (HI) of workers exceeded 1.0, while residents and control were approximately at 1.0. Besides, all three populations had accumulated cancer risks exceeding 1.0 × 10-4, and arsenite (AsIII) was the main contributor to the variation of workers and residents. Furthermore, residents living closer to the smelting plant had higher health risks. This study reveals arsenic exposure metabolites and multiple metals as emerging contaminants for copper smelting exposure populations, providing valuable insights for pollution control in non-ferrous metal smelting.

Estudo longitudinal de famílias / Longitudinal study of families / Estudio longitudinal de familias

Introdução: O desenvolvimento da família é influenciado por diversos fatores de sua organização interna e de ordem ambiental, social, cultural, econômica e política. Em contexto de pobreza os riscos são maiores. Fatores de proteção, como boa organização familiar e rede social de apoio podem diminuir as consequências negativas da pobreza. São escassas as pesquisas longitudinais sobre vulnerabilidade e resiliência nas famílias. Objetivo: Este artigo descreve o desenvolvimento de três famílias ao longo de 15 anos, estudadas por meio de entrevistas em casa, parte de uma coorte populacional de um bairro de Porto Alegre (RS). Buscaram-se associações entre a qualidade das relações nessas famílias e sua saúde física e mental, especialmente a do filho, foco da pesquisa. Métodos: Selecionaram-se no arquivo da pesquisa as três primeiras famílias (do total de 148) das quais se tinham os resultados completos das cinco visitas realizadas aos quatro meses e aos dois, quatro, nove e 15 anos de um filho. Realizou-se análise qualitativa dos registros em busca de categorias para compreender a vida e as relações interpessoais nas famílias. O estudo foi realizado em conjunto por duas pesquisadoras, médicas especialistas em desenvolvimento humano. As categorias identificadas na análise e estudadas nas cinco etapas foram: configuração familiar, situação socioeconômica, situações traumáticas, saúde física, saúde relacional e mental, evolução cognitiva e escolar do filho. Resultados: As três famílias, todas de classe C, com filhos sem problemas de saúde física, tiveram evolução suficientemente boa, apesar de todas enfrentarem múltiplos problemas, inclusive separações e mortes precoces. A relação com o sistema de saúde e escola era boa e similar para as três. A jovem com menos problemas de saúde mental foi aquela que sofreu perdas mais importantes: morte dos pais. Tinha uma estrutura familiar multigeracional sólida desde a primeira infância, com relações interpessoais predominantemente colaborativas e amorosas. Conclusões: O artigo busca avançar na compreensão da resiliência nas famílias em situações de vulnerabilidade. Concluímos que essas três famílias, uma delas mais que as outras, foram suficientemente saudáveis na tarefa de educar seus filhos sem desenvolverem problemas mentais graves. Propomos que o bom desenvolvimento se associa com a adequação e amorosidade dos cuidados com a etapa do ciclo vital, mesmo enfrentando situações problemáticas. Essas qualidades precisam estar associadas à estabilidade socioeconômica básica e a bons serviços de saúde e escola.

Introduction: Family development is influenced by it's internal organization and environmental factors, socioeconomic, cultural and political. In poor contexts there are more risks to development. Protection factors like good family organization and social network may decrease the risks. Longitudinal research about vulnerability and resilience in families is scarse. Objective: This article describes the development of three families over 15 years through interviews at home. The families were part of a populational cohort of a neighborhood in Porto Alegre (RS). We looked for links between the quality of relationships and the physical and mental health of these families, especially of the child focus of the research. Methods: We selected in the research archives the first three families (of a total of 148) for which we had full results of the five interviews at four months and two, four, nine and fifteen years of a child. We did a qualitative analysis of the records looking for parameters to understand the life and interpersonal relationships of these families. This study was done by two researchers, both experts in Human Development. The categories identified in the analysis of the five phases were: family structure, socioeconomic situation, traumatic experiences, physical, mental and relational health and cognitive evolution of the child. Results: All three families belonged to economical class C. The children were in good physical health and had sufficiently good general development, having faced multiple problems, including parental separation and early parental death. The relationship with the health and school systems was good in all of them. The youth with less mental health problems was the one who suffered the heaviest loss: early death of both parents. Her family had strong multigenerational ties since her early days, with predominant collaborative and loving relationships. Conclusions: This article aims to contribute to the comprehension of resilience in families in the context of vulnerability. We can say that these three families were healthy enough in the task of bringing up children without any serious mental health problem. We suggest that healthy development is associated with loving interfamily relationships adequate to each phase of development, notwithstanding dramatic events. This needs to be supported by basic economic stability and adequate school and health systems.

Introducción: El desarrollo de la familia es influenciado por su organización interna y factores ambientales, sociales, culturales, económicos y políticos. En contextos pobres los riesgos son mayores. Factores de protección como buena organización familiar y red social de apoyo pueden disminuir las consecuencias negativas de la pobreza. Son pocas las investigaciones longitudinales de vulnerabilidad y resiliencia de las familias. Objetivo: Este artículo describe el estudio del desarrollo de tres familias a lo largo de 15 años, a través de entrevistas en domicilio, parte de una cohorte poblacional de un barrio de Porto Alegre (RS). Se buscaron correlaciones entre la calidad de las relaciones de esas familias y su salud física y mental, especialmente la del hijo foco de la investigación. Métodos: Fueron seleccionadas en el archivo de la investigación las tres primeras familias (de un total de 148) de las cuales se tenían los resultados completos de las cinco visitas realizadas, a los 4 meses, y a los 2, 4, 9, y 15 años de un hijo. Fue realizado un análisis cualitativo de los registros en busca de categorías para comprender la vida y las relaciones interpersonales en las familias. El estudio fue hecho en conjunto por dos investigadoras, médicas especialistas en desarrollo humano. Las categorías identificadas en el análisis y estudiadas en las cinco etapas fueron: configuración familiar, situación socioeconómica, situaciones traumáticas, salud física, salud relacional y mental, evolución cognitiva y escolar del hijo. Resultados: Las tres familias, todas de clase C, con hijos sin problemas de salud física, tuvieron evolución suficientemente buena, a pesar de que todas enfrentaron múltiples problemas, incluso separaciones y muertes precoces. La relación con el sistema de salud y escuela era buena y similar para las tres. La joven con menos problemas de salud mental fue aquella que sufrió las mayores pérdidas: muerte de los padres. Tenía una estructura familiar multigeneracional sólida desde la primera infancia, con relaciones interpersonales predominantemente colaborativas y amorosas. Conclusiones: El artículo pretende avanzar en la comprensión de la resiliencia en las familias en situaciones de vulnerabilidad. Concluimos que esas tres familias, una de ellas más que las otras, fueron suficientemente saludables en la tarea de educar a sus hijos sin que desarrollaran problemas mentales graves. Proponemos que el buen desarrollo se asocia con el amor y adecuación de los cuidados a la etapa del ciclo vital, aun enfrentando situaciones problemáticas. Esas calidades necesitan estar asociadas a la estabilidad socioeconómica básica y buenos servicios de salud y escuela.

Application of ultrasonographic human estimated foetal weight formulas to cynomolgus monkeys (Macaca fascicularis) at 129-132 days of gestation: A comparative study of estimated and actual birthweight.

BACKGROUND: Cynomolgus monkeys (Macaca fascicularis) are essential in biomedical research, including reproductive studies. However, the application of human estimated foetal weight (EFW) formulas using ultrasonography (USG) in these non-human primates is not well established. OBJECTIVES: This study aims to evaluate the applicability of human EFW formulas for estimating foetal weight in cynomolgus monkeys at approximately 130 days of gestation. METHODS: Our study involved nine pregnant cynomolgus monkeys. We measured foetal parameters, including biparietal diameter, head circumference, abdominal circumference and femur length using USG. The EFW was calculated using 11 human EFW formulas. The actual birthweight (ABW) was recorded following Cesarean section, the day after the EFW calculation. For comparing EFW and ABW, we employed statistical methods such as mean absolute percentage error (APE) and Bland-Altman analysis. RESULTS: The ABW ranged between 200.36 and 291.33 g. Among the 11 formulas, the Combs formula showed the lowest APE (4.3%) and highest correlation with ABW (p < 0.001). Notably, EFW and ABW differences for the Combs formula were ≤5% in 66.7% and ≤10% in 100% of cases. The Bland-Altman analysis supported these results, showing that all cases fell within the limits of agreement. CONCLUSIONS: The Combs formula is applicable for estimating the weight of cynomolgus monkey fetuses with USG at approximately 130 days of gestation. Our observations suggest that the Combs formula can be applied in the prenatal care and biomedical research of this species.

Hippocampus and striatum show distinct contributions to longitudinal changes in value-based learning in middle childhood.

The hippocampal-dependent memory system and striatal-dependent memory system modulate reinforcement learning depending on feedback timing in adults, but their contributions during development remain unclear. In a 2-year longitudinal study, 6-to-7-year-old children performed a reinforcement learning task in which they received feedback immediately or with a short delay following their response. Children's learning was found to be sensitive to feedback timing modulations in their reaction time and inverse temperature parameter, which quantifies value-guided decision-making. They showed longitudinal improvements towards more optimal value-based learning, and their hippocampal volume showed protracted maturation. Better delayed model-derived learning covaried with larger hippocampal volume longitudinally, in line with the adult literature. In contrast, a larger striatal volume in children was associated with both better immediate and delayed model-derived learning longitudinally. These findings show, for the first time, an early hippocampal contribution to the dynamic development of reinforcement learning in middle childhood, with neurally less differentiated and more cooperative memory systems than in adults.

Pump up the volume.

An influx of water molecules can help immune cells called neutrophils to move to where they are needed in the body.

Atypical local and global biological motion perception in children with attention deficit hyperactivity disorder.

Perceiving biological motion (BM) is crucial for human survival and social interaction. Many studies have reported impaired BM perception in autism spectrum disorder, which is characterised by deficits in social interaction. Children with attention deficit hyperactivity disorder (ADHD) often exhibit similar difficulties in social interaction. However, few studies have investigated BM perception in children with ADHD. Here, we compared differences in the ability to process local kinematic and global configurational cues, two fundamental abilities of BM perception, between typically developing and ADHD children. We further investigated the relationship between BM perception and social interaction skills measured using the Social Responsiveness Scale and examined the contributions of latent factors (e.g. sex, age, attention, and intelligence) to BM perception. The results revealed that children with ADHD exhibited atypical BM perception. Local and global BM processing showed distinct features. Local BM processing ability was related to social interaction skills, whereas global BM processing ability significantly improved with age. Critically, general BM perception (i.e. both local and global BM processing) may be affected by sustained attentional ability in children with ADHD. This relationship was primarily mediated by reasoning intelligence. These findings elucidate atypical BM perception in ADHD and the latent factors related to BM perception. Moreover, this study provides new evidence that BM perception is a hallmark of social cognition and advances our understanding of the potential roles of local and global processing in BM perception and social cognitive disorders.

Neutrophil migration participates in the side effect of recombinant human tissue plasminogen activator.

AIMS: Ischemic stroke remains a challenge in medical research because of the limited treatment options. Recombinant human tissue plasminogen activator (rtPA) is the primary treatment for recanalization. However, nearly 50% of the patients experience complications that result in ineffective reperfusion. The precise factors contributing to ineffective reperfusion remain unclear; however, recent studies have suggested that immune cells, notably neutrophils, may influence the outcome of rtPA thrombolysis via mechanisms such as the formation of neutrophil extracellular traps. This study aimed to explore the nonthrombolytic effects of rtPA on neutrophils and highlight their contribution to ineffective reperfusion. METHODS: We evaluated the effects of rtPA treatment on middle cerebral artery occlusion in rats. We also assessed neutrophil infiltration and activation after rtPA treatment in vitro and in vivo in a small cohort of patients with massive cerebral ischemia (MCI). RESULTS: rtPA increased neutrophil infiltration into the brain microvessels and worsened blood-brain barrier damage during ischemia. It also increased the neutrophil counts of the patients with MCI. CONCLUSION: Neutrophils play a crucial role in promoting ischemic injury and blood-brain barrier disruption, making them potential therapeutic targets.

Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection.

In this study, we address the critical need for enhanced situational awareness and victim detection capabilities in Search and Rescue (SAR) operations amidst disasters. Traditional unmanned ground vehicles (UGVs) often struggle in such chaotic environments due to their limited manoeuvrability and the challenge of distinguishing victims from debris. Recognising these gaps, our research introduces a novel technological framework that integrates advanced gesture-recognition with cutting-edge deep learning for camera-based victim identification, specifically designed to empower UGVs in disaster scenarios. At the core of our methodology is the development and implementation of the Meerkat Optimization Algorithm-Stacked Convolutional Neural Network-Bi-Long Short Term Memory-Gated Recurrent Unit (MOA-SConv-Bi-LSTM-GRU) model, which sets a new benchmark for hand gesture detection with its remarkable performance metrics: accuracy, precision, recall, and F1-score all approximately 0.9866. This model enables intuitive, real-time control of UGVs through hand gestures, allowing for precise navigation in confined and obstacle-ridden spaces, which is vital for effective SAR operations. Furthermore, we leverage the capabilities of the latest YOLOv8 deep learning model, trained on specialised datasets to accurately detect human victims under a wide range of challenging conditions, such as varying occlusions, lighting, and perspectives. Our comprehensive testing in simulated emergency scenarios validates the effectiveness of our integrated approach. The system demonstrated exceptional proficiency in navigating through obstructions and rapidly locating victims, even in environments with visual impairments like smoke, clutter, and poor lighting. Our study not only highlights the critical gaps in current SAR response capabilities but also offers a pioneering solution through a synergistic blend of gesture-based control, deep learning, and purpose-built robotics. The key findings underscore the potential of our integrated technological framework to significantly enhance UGV performance in disaster scenarios, thereby optimising life-saving outcomes when time is of the essence. This research paves the way for future advancements in SAR technology, with the promise of more efficient and reliable rescue operations in the face of disaster.

Adverse drug reactions, adherence, and virologic outcomes in adult patients on dolutegravir-based antiretroviral therapy at a tertiary hospital, southeast Nigeria.

Objective: To assess the adherence, adverse drug reactions (ADR), and virologic outcomes of dolutegravir-based antiretroviral therapy. Design: This was a retrospective chart review. Setting: A tertiary health facility-based study in Abakaliki, Nigeria. Participants: Five hundred and fifteen (515) adult patients on dolutegravir were selected using a Random Number Generator. Demographic and clinical data were extracted from patients' case notes and analysed with IBM-SPSS version-25. Main outcome measures: Adherence to dolutegravir, ADRs, virologic outcome, and change in Body Mass Index (BMI) were estimated. Results: The mean age of the patients was 45.5±10.8 years; 68.2% of them were females; 97.1% of them had good self-reported adherence. The majority (82.9%) of them reported no ADRs and among those (17.1%) that did, headache (9.7%), body-itching (3.1%), and skin rash (2.7%) dominated. Most achieved viral suppression (94.4%) and did not have detectable viral particles (57.4%). There was a significant increase in the BMI of the patients with a mean weight increase of 0.9kg, a mean BMI increase of 0.3 kg/m2, and a 2.6% increase in the prevalence of overweight and obesity. Conclusions: Patients on dolutegravir reported low ADRs, good self-reported adherence, and a high viral suppression rate. However, dolutegravir is associated with weight gain. We recommend widespread use and more population-wide studies to elucidate the dolutegravir-associated weight gain. Funding: None declared.

Investigating food production-associated DNA methylation changes in paleogenomes: Lack of consistent signals beyond technical noise.

The Neolithic transition introduced major diet and lifestyle changes to human populations across continents. Beyond well-documented bioarcheological and genetic effects, whether these changes also had molecular-level epigenetic repercussions in past human populations has been an open question. In fact, methylation signatures can be inferred from UDG-treated ancient DNA through postmortem damage patterns, but with low signal-to-noise ratios; it is thus unclear whether published paleogenomes would provide the necessary resolution to discover systematic effects of lifestyle and diet shifts. To address this we compiled UDG-treated shotgun genomes of 13 pre-Neolithic hunter-gatherers (HGs) and 21 Neolithic farmers (NFs) individuals from West and North Eurasia, published by six different laboratories and with coverage c.1×-58× (median = 9×). We used epiPALEOMIX and a Monte Carlo normalization scheme to estimate methylation levels per genome. Our paleomethylome dataset showed expected genome-wide methylation patterns such as CpG island hypomethylation. However, analyzing the data using various approaches did not yield any systematic signals for subsistence type, genetic sex, or tissue effects. Comparing the HG-NF methylation differences in our dataset with methylation differences between hunter-gatherers versus farmers in modern-day Central Africa also did not yield consistent results. Meanwhile, paleomethylome profiles did cluster strongly by their laboratories of origin. Using larger data volumes, minimizing technical noise and/or using alternative protocols may be necessary for capturing subtle environment-related biological signals from paleomethylomes.

ChatGPT: perspectives from human-computer interaction and psychology.

The release of GPT-4 has garnered widespread attention across various fields, signaling the impending widespread adoption and application of Large Language Models (LLMs). However, previous research has predominantly focused on the technical principles of ChatGPT and its social impact, overlooking its effects on human-computer interaction and user psychology. This paper explores the multifaceted impacts of ChatGPT on human-computer interaction, psychology, and society through a literature review. The author investigates ChatGPT's technical foundation, including its Transformer architecture and RLHF (Reinforcement Learning from Human Feedback) process, enabling it to generate human-like responses. In terms of human-computer interaction, the author studies the significant improvements GPT models bring to conversational interfaces. The analysis extends to psychological impacts, weighing the potential of ChatGPT to mimic human empathy and support learning against the risks of reduced interpersonal connections. In the commercial and social domains, the paper discusses the applications of ChatGPT in customer service and social services, highlighting the improvements in efficiency and challenges such as privacy issues. Finally, the author offers predictions and recommendations for ChatGPT's future development directions and its impact on social relationships.

Defective FGFR1 Signaling Disrupts Glucose Regulation: Evidence From Humans With FGFR1 Mutations.

Context: Activation of fibroblast growth factor receptor 1 (FGFR1) signaling improves the metabolic health of animals and humans, while inactivation leads to diabetes in mice. Direct human genetic evidence for the role of FGFR1 signaling in human metabolic health has not been fully established. Objective: We hypothesized that individuals with naturally occurring FGFR1 variants ("experiments of nature") will display glucose dysregulation. Methods: Participants with rare FGFR1 variants and noncarrier controls. Using a recall-by-genotype approach, we examined the ß-cell function and insulin sensitivity of 9 individuals with rare FGFR1 deleterious variants compared to 27 noncarrier controls, during a frequently sampled intravenous glucose tolerance test at the Reproductive Endocrine Unit and the Harvard Center for Reproductive Medicine, Massachusetts General Hospital. FGFR1-mutation carriers displayed higher ß-cell function in the face of lower insulin sensitivity compared to controls. Conclusion: These findings suggest that impaired FGFR1 signaling may contribute to an early insulin resistance phase of diabetes pathogenesis and support the candidacy of the FGFR1 signaling pathway as a therapeutic target for improving the human metabolic health.

Diagnostic Yield of Urine Xpert MTB/RIF Ultra in Adults With Suspected Extrapulmonary Tuberculosis.

We assessed the diagnostic yield of urine GeneXpert MTB/RIF Ultra and factors associated with a positive test among adult patients suspected to have extrapulmonary tuberculosis. Urine Ultra was positive in 14% of participants with definite or probable tuberculosis. Hospitalization, disseminated tuberculosis, and human immunodeficiency virus infection were associated with a positive result.

An HIV-1 CRISPR-Cas9 membrane trafficking screen reveals a role for PICALM intersecting endolysosomes and immunity.

HIV-1 hijacks host proteins involved in membrane trafficking, endocytosis, and autophagy that are critical for virus replication. Molecular details are lacking but are essential to inform on the development of alternative antiviral strategies. Despite their potential as clinical targets, only a few membrane trafficking proteins have been functionally characterized in HIV-1 replication. To further elucidate roles in HIV-1 replication, we performed a CRISPR-Cas9 screen on 140 membrane trafficking proteins. We identified phosphatidylinositol-binding clathrin assembly protein (PICALM) that influences not only infection dynamics but also CD4+ SupT1 biology. The knockout (KO) of PICALM inhibited viral entry. In CD4+ SupT1 T cells, KO cells exhibited defects in intracellular trafficking and increased abundance of intracellular Gag and significant alterations in autophagy, immune checkpoint PD-1 levels, and differentiation markers. Thus, PICALM modulates a variety of pathways that ultimately affect HIV-1 replication, underscoring the potential of PICALM as a future target to control HIV-1.

Human Factors in AI-Driven Digital Solutions for Increasing Physical Activity: Scoping Review.

BACKGROUND: Artificial intelligence (AI) has the potential to enhance physical activity (PA) interventions. However, human factors (HFs) play a pivotal role in the successful integration of AI into mobile health (mHealth) solutions for promoting PA. Understanding and optimizing the interaction between individuals and AI-driven mHealth apps is essential for achieving the desired outcomes. OBJECTIVE: This study aims to review and describe the current evidence on the HFs in AI-driven digital solutions for increasing PA. METHODS: We conducted a scoping review by searching for publications containing terms related to PA, HFs, and AI in the titles and abstracts across 3 databases-PubMed, Embase, and IEEE Xplore-and Google Scholar. Studies were included if they were primary studies describing an AI-based solution aimed at increasing PA, and results from testing the solution were reported. Studies that did not meet these criteria were excluded. Additionally, we searched the references in the included articles for relevant research. The following data were extracted from included studies and incorporated into a qualitative synthesis: bibliographic information, study characteristics, population, intervention, comparison, outcomes, and AI-related information. The certainty of the evidence in the included studies was evaluated using GRADE (Grading of Recommendations Assessment, Development, and Evaluation). RESULTS: A total of 15 studies published between 2015 and 2023 involving 899 participants aged approximately between 19 and 84 years, 60.7% (546/899) of whom were female participants, were included in this review. The interventions lasted between 2 and 26 weeks in the included studies. Recommender systems were the most commonly used AI technology in digital solutions for PA (10/15 studies), followed by conversational agents (4/15 studies). User acceptability and satisfaction were the HFs most frequently evaluated (5/15 studies each), followed by usability (4/15 studies). Regarding automated data collection for personalization and recommendation, most systems involved fitness trackers (5/15 studies). The certainty of the evidence analysis indicates moderate certainty of the effectiveness of AI-driven digital technologies in increasing PA (eg, number of steps, distance walked, or time spent on PA). Furthermore, AI-driven technology, particularly recommender systems, seems to positively influence changes in PA behavior, although with very low certainty evidence. CONCLUSIONS: Current research highlights the potential of AI-driven technologies to enhance PA, though the evidence remains limited. Longer-term studies are necessary to assess the sustained impact of AI-driven technologies on behavior change and habit formation. While AI-driven digital solutions for PA hold significant promise, further exploration into optimizing AI's impact on PA and effectively integrating AI and HFs is crucial for broader benefits. Thus, the implications for innovation management involve conducting long-term studies, prioritizing diversity, ensuring research quality, focusing on user experience, and understanding the evolving role of AI in PA promotion.

Mortality among Veterans following Traumatic Brain Injury: A VA Traumatic Brain Injury Model Systems Study.

Few studies have examined long-term mortality following traumatic brain injury (TBI) in a military population. This is a secondary analysis of a prospective, longitudinal study that examines long-term mortality (up to 10 years) post-TBI, including analyses of life expectancy, causes of death and risk factors for death in service members and veterans (SM/V) who survived the acute TBI and inpatient rehabilitation. Among 922 participants in the study, the mortality rate was 8.3% following discharge from inpatient rehabilitation. The mean age of death was 54.5 years, with death occurring on average 3.2 years after injury, and with an average 7-year life expectancy reduction. SM/V with TBI were nearly 4 times more likely to die compared with the US general population. Leading causes of death were external causes of injury, circulatory disease, and respiratory disorders. Also notable were deaths due to late effects of TBI itself and suicide. Falls were a significant mechanism of injury for those who died. Those who died were also more likely to be older at injury, unemployed, non-active duty status, not currently married, and had longer post-traumatic amnesia, longer rehabilitation stays, worse independence and disability scores at rehabilitation discharge, and a history of mental health issues prior to injury. These findings indicate that higher disability and less social supportive infrastructure are associated with higher mortality. Our investigation into the vulnerabilities underlying premature mortality and into the major causes of death may help target future prevention, surveillance, and monitoring interventions.

Fluorogenic Monitoring of α-Amylase in Human Urine for Straightforward Diagnosis of Pancreatic Diseases.

In this study, we developed a sensitive method for monitoring α-amylase using a fluorogenic approach based on the host-guest complexation between an amphiphilic pyrenyl derivative (1) and γ-cyclodextrins (γ-CDs). The compound 1 self-assembles into nanofibrils in aqueous solutions. Upon the introduction of γ-CD, compound 1 forms an inclusion complex with it. This complex then participates in the formation of a 2:2 complex with another complex, leading to strong excimer fluorescence. Upon interaction with α-amylase, γ-CD undergoes hydrolysis, leading to the regeneration of nanofibrils, which is accompanied by a decrease in excimer fluorescence and an increase in monomeric fluorescence. This ratiometric fluorescence color change enables the sensitive detection of low levels of α-amylase in human urine, offering a practical approach for early screening of pancreatic-related diseases.

Mass spectrometry detection of organophosphorus pesticide adducts on butyrylcholinesterase and albumin.

This study established a method to prepare and detect OPs adducts on butyrylcholinesterase (BChE) and human serum albumin (HSA). OPs (methyl paraoxon, ethyl paraoxon, methyl parathion, parathion) were incubated with BChE or HSA in vitro, and the adducts of OPs-BChE or OPs-HSA were prepared and qualitatively analyzed by ultra-performance liquid chromatography data-dependent high-resolution tandem mass spectrometry (UPLC-ddHRMS/MS). The amounts of BChE and HSA in the incubating systems were varied and the resulting amounts of the adducts were determined using linear regression. OPs-BChE in the blood were isolated by immunomagnetic separation (IMS), and then digested into the OPs-nonapeptide adduct by pepsin. The proteins in the remaining blood plasma were precipitated and digested by pronase to OPs-tyrosines(OPs-Tyr), which were quantified by UPLC-ddHRMS/MS. 4 OPs-nonapeptides and 4 OPs-Tyr adducts were obtained through the process above. The relative mass deviation of incubated adducts between the actual and theoretical exact masses was less than 10 ppm, and further confirmed by fragmentation mass spectra analysis. Calibration curves were linear for all adducts with a coefficient of determination value (R2) ≥0.995. The limits of detection (LOD) and limits of quantification (LOQ) for adducts detected by MS ranged from 0.05 to 1.0 ng/mL, and from 0.1 to 2.0 ng/mL, respectively. The recovery percentages for adducts ranged from 76.1 % to 107.1 %, matrix effects ranged from 83.4 % to 102.1 %. The inter-day and intra-day precision were 6.1-10.1 % and 6.9-12.9 % for adducts. This study provides a new reference method for the detection of organophosphorus pesticide poisoning. In addition, two blood samples with organophosphorus poisoning were tested by the designed method, and the corresponding adducts were detected in both samples.