Uniform Core-Shell Microspheres of SiO2@MOF for CO2 Cycloaddition Reactions.

A SiO2@MOF core-shell microsphere for environmentally friendly applications was introduced in this study. Several types of metal-organic framework core-shell microspheres were successfully synthesized. To achieve high stability and favorable catalytic performance, modification and coating methods were necessary for optimization. The improved SiO2@MOF core-shell microspheres were used in the cycloaddition reaction of carbon dioxide and propylene oxide. Dispersion ability was enhanced by the addition of core-shell microspheres, which also produced high catalytic activity. Accompanied with tetrabutylammonium bromide as a co-catalyst, SiO2@ZIF-67 had a maximum conversion of 97%, and the results revealed that SiO2@ZIF-67 could be used for 5 reaction cycles while maintaining high catalytic performance. This recycling catalyst was also reacted with a series of terminal epoxides to form corresponding cyclic carbonates with high conversion rates, indicating that SiO2@MOF core-shell microspheres exhibit promise in the field of catalysis.

Sonogenetic Modulation of Cellular Activities Using an Engineered Auditory-Sensing Protein.

Biomolecules that respond to different external stimuli enable the remote control of genetically modified cells. We report herein a sonogenetic approach that can manipulate target cell activities by focused ultrasound stimulation. This system requires an ultrasound-responsive protein derived from an engineered auditory-sensing protein prestin. Heterologous expression of mouse prestin containing two parallel amino acid substitutions, N7T and N308S, that frequently exist in prestins from echolocating species endowed transfected mammalian cells with the ability to sense ultrasound. An ultrasound pulse of low frequency and low pressure efficiently evoked cellular calcium responses after transfecting with prestin(N7T, N308S). Moreover, pulsed ultrasound can also noninvasively stimulate target neurons expressing prestin(N7T, N308S) in deep regions of mouse brains. Our study delineates how an engineered auditory-sensing protein can cause mammalian cells to sense ultrasound stimulation. Moreover, our sonogenetic tools will serve as new strategies for noninvasive therapy in deep tissues.

Identification of a recurrent nonsense mutation in HR gene responsible for atrichia with papular lesions in two Kashmiri families.

BACKGROUND: Congenital atrichia (CA) is a rare form of irreversible alopecia with an autosomal recessive mode of inheritance. This form of hair loss is mainly associated with mutations in the human hairless (HR) gene located at chromosome 8p21.3. An additional unique feature atrichia with papular lesions (APL) comprises keratin-filled cysts known as papules. The present study aimed to uncover the underlying genetic causes of APL in two consanguineous Kashmiri families. METHODS: In the present study, two consanguineous families of Kashmiri origin with APL displaying an autosomal recessive mode of inheritance were investigated. Whole exome and Sanger sequencing followed by bioinformatic studies, variant prioritization, Sanger validation and segregation analysis was performed to find the mutation. RESULTS: A recurrent nonsense (NM_005144: c.2818C > T:p.Arg940*) mutation was detected in exon 13 of the human HR gene. CONCLUSIONS: Whole exome sequencing analysis has widely been used in the screening of single gene disorders mutations, both in research and diagnostic laboratories. Sanger sequencing alone for genes such as HR becomes expensive and time consuming. Instead, it is recommended that a patient is to screen by whole exome sequencing and then special attention first focuses on known genes of the APL phenotype. This is helpful for intime diagnosis, being more efficient and economic. The results obtained in the present study may contribute to prenatal diagnosis, carrier secreening and the genetic counseling of families with the APL phenotype in Kashmiri poplution.

Epigenetic Regulation of WNT3A Enhancer during Regeneration of Injured Cortical Neurons.

Traumatic brain injury is known to reprogram the epigenome. Chromatin immunoprecipitation-sequencing of histone H3 lysine 27 acetylation (H3K27ac) and tri-methylation of histone H3 at lysine 4 (H3K4me3) marks was performed to address the transcriptional regulation of candidate regeneration-associated genes. In this study, we identify a novel enhancer region for induced WNT3A transcription during regeneration of injured cortical neurons. We further demonstrated an increased mono-methylation of histone H3 at lysine 4 (H3K4me1) modification at this enhancer concomitant with a topological interaction between sub-regions of this enhancer and with promoter of WNT3A gene. Together, this study reports a novel mechanism for WNT3A gene transcription and reveals a potential therapeutic intervention for neuronal regeneration.

WNT3A Promotes Neuronal Regeneration upon Traumatic Brain Injury.

The treatment of traumatic brain injury (TBI) remains a challenge due to limited knowledge about the mechanisms underlying neuronal regeneration. This current study compared the expression of WNT genes during regeneration of injured cortical neurons. Recombinant WNT3A showed positive effect in promoting neuronal regeneration via in vitro, ex vivo, and in vivo TBI models. Intranasal administration of WNT3A protein to TBI mice increased the number of NeuN+ neurons without affecting GFAP+ glial cells, compared to control mice, as well as retained motor function based on functional behavior analysis. Our findings demonstrated that WNT3A, 8A, 9B, and 10A promote regeneration of injured cortical neurons. Among these WNTs, WNT3A showed the most promising regenerative potential in vivo, ex vivo, and in vitro.

Risk factors for delayed perineal wound healing and its impact on prolonged hospital stay after abdominoperineal resection.

BACKGROUND: Perineal wound complications are a long-lasting issue for abdominoperineal resection (APR) patients. Complication rates as high as 60% have been reported, with the most common complication being delayed perineal wound healing. The aim of this study was to identify risk factors for delayed perineal wound healing and its impact on prolonged hospital stay. METHODS: We included low rectal tumor patients who underwent APR at a referral medical center from April 2002 to December 2017; a total of 229 patients were included. The basic characteristics and surgical outcomes of the patients were analyzed to identify risk factors for delayed perineal wound healing (> 30 days after APR) and prolonged hospital stay (post-APR hospital stay > 14 days). RESULTS: All patients received primary closure for their perineal wound. The majority of patients were diagnosed with adenocarcinoma (N = 213, 93.1%). In the univariate analysis, patients with hypoalbuminemia (albumin < 3.5 g/dL) had an increased risk of delayed wound healing (39.5% vs. 60.5%, P = 0.001), which was an independent risk factor in the multivariable analysis (OR 2.962, 95% CI 1.437-6.102, P = 0.003). Patients with delayed wound healing also had a significantly increased risk of prolonged hospital stay (OR 6.404, 95% CI 3.508-11.694, P < 0.001). CONCLUSIONS: Hypoalbuminemia was an independent risk factor for delayed wound healing, which consequently led to a prolonged hospital stay. Further clinical trials are needed to reduce the incidence of delayed perineal wound healing by correcting albumin levels or nutritional status before APR.

Organizational determinants of bullying and work disengagement among hospital nurses.

AIMS: To identify organizational determinants of bullying and resulting work disengagement among hospital nurses. DESIGN: A cross-sectional, web-based, anonymous questionnaire study. METHODS: The questionnaire was administered in 2017 to all Registered Nurses in a regional healthcare system in the United States (N = 1,780), with 331 complete responses. Logistic regression was used to identify factors associated with personally experiencing and witnessing bullying, respectively. Linear regression was conducted to identify organizational factors associated with disengagement due to bullying. RESULTS: Psychological safety, a measure of team trust and respect, was inversely associated with being personally bullied and witnessing bullying. Being personally bullied, but not witnessing bullying, was associated with disengagement due to bullying. Psychological safety and competence development, a measure of opportunities to develop skills and knowledge at work, were both inversely associated with disengagement due to bullying. CONCLUSION: Hospital units characterized by trust and respect among nurses are less likely to have a culture of bullying. Both psychological safety and competence development have a protective effect on nurse disengagement from the workplace due to bullying. Interventions to mitigate and prevent bullying and work disengagement among nurses should encompass efforts to enhance psychological safety and opportunities for competence development. IMPACT: Bullying is a pervasive hazard in the nursing profession that contributes to unhealthy workplaces. Nurse managers and staff nurses should work together to establish psychologically safe environments where nurses dare to discuss tough issues like bullying. This research contributes to understanding the characteristics of work environments in which nurses can thrive and work effectively.

Ion Channels Involved in Substance P-Mediated Nociception and Antinociception.

Substance P (SP), an 11-amino-acid neuropeptide, has long been considered an effector of pain. However, accumulating studies have proposed a paradoxical role of SP in anti-nociception. Here, we review studies of SP-mediated nociception and anti-nociception in terms of peptide features, SP-modulated ion channels, and differential effector systems underlying neurokinin 1 receptors (NK1Rs) in differential cell types to elucidate the effect of SP and further our understanding of SP in anti-nociception. Most importantly, understanding the anti-nociceptive SP-NK1R pathway would provide new insights for analgesic drug development.

Workplace Bullying Among Nurses: Developing a Model for Intervention.

Workplace bullying is endemic to the nursing profession and it threatens nurses' health and ability to work safely. However, effective interventions to prevent workplace bullying are lacking. A sample of hospital nurses (n = 15) explored experiences of bullying and ideas for intervention via four focus groups in 2016. Four main themes emerged from the qualitative content analysis: (a) characteristics that define bullying behavior; (b) facilitators of bullying; (c) consequences of bullying; and (d) possible interventions. Although personal characteristics played a role, bullying was primarily facilitated by workplace and organizational factors that hindered the establishment of collegiality and team trust among nurses. Findings have informed a conceptual model for prevention of nurse-to-nurse bullying with ethical leadership and communication, trust, and social cohesion in work teams as key elements.

Robotic Surface Analysis Mass Spectrometry (RoSA-MS) of Three-Dimensional Objects.

Many technologies currently exist that are capable of analyzing the surface of solid samples under ambient or vacuum conditions, but they are typically limited to smooth, planar surfaces. Those few that can be applied to nonplanar surfaces, however, require manual sampling and a high degree of human intervention. Herein, we describe a new platform, Robotic Surface Analysis Mass Spectrometry (RoSA-MS), for direct surface sampling of three-dimensional (3D) objects. In RoSA-MS, a sampling probe is attached to a robotic arm that has 360° rotation through 6 individual joints. A 3D laser scanner, also attached to the robotic arm, generates a digital map of the sample surface that is used to direct a probe to specific ( x, y, z) locations. The sampling probe consists of a spring-loaded needle that briefly contacts the object surface, collecting trace amounts of material. The probe is then directed at an open port liquid sampling interface coupled to the electrospray ion source of a mass spectrometer. Material on the probe tip is dissolved by the solvent flow in the liquid interface and mass analyzed with high mass resolution and accuracy. The surface of bulky, nonplanar objects can thus be probed to produce chemical maps at the molecular level. Applications demonstrated herein include the examination of food sample surfaces, lifestyle chemistry, and chemical reactions on curved substrates. The modular design of this system also allows for modifications to the sampling probe and the ionization source, thereby expanding the potential of RoSA-MS for a great diversity of applications.

Mitochondrial therapy promotes regeneration of injured hippocampal neurons.

Due to the inhibitory microenvironment and reduced intrinsic growth capacity of neurons, neuronal regeneration of central nervous system remains challenging. Neurons are highly energy demanding and require sufficient mitochondria to support cellular activities. In response to stimuli, mitochondria undergo fusion/fission cycles to adapt to environment. It is thus logical to hypothesize that the plasticity of mitochondrial dynamics is required for neuronal regeneration. In this study, we examined the role of mitochondrial dynamics during regeneration of rat hippocampal neurons. Quantitative analysis showed that injury induced mitochondrial fission. As mitochondrial dysfunction has been implicated in neurodegenerative diseases, we tested the possibility that the mitochondrial therapy may promote neuronal regeneration. Supplying freshly isolated mitochondria to the injured hippocampal neurons not only significantly increased neurite re-growth but also restored membrane potential of injured hippocampal neurons. Together, our findings support the importance of mitochondrial dynamics during regeneration of injured hippocampal neurons and highlight the therapeutic prospect of mitochondria to the injured central nervous system.

Physical and mental health status and their correlations among older wheelchair users with dementia in long-term care facilities.

PURPOSE: To investigate the physical health (daily functioning and functional fitness) and mental health (depression and behavioral dysfunction) of older wheelchair users with dementia in long-term care facilities, examine the correlations between physical and mental health, and identify the independent variables of their daily functioning. METHODS: A descriptive correlational method was adopted, which was conducted in six long-term care facilities in three cities, south Taiwan. Participants comprised 98 older wheelchair users with dementia. Data were collected using structured questionnaires (Mini-Mental State Examination, Barthel Index, Cornell Scale for Depression in Dementia, and Clifton Assessment Procedures for the Elderly Behavior Rating Scale) and from functional fitness testing (cardiopulmonary functioning, body flexibility, joint mobility, and muscle strength and endurance). RESULTS: Older adults with dementia who had high depression scores were likely to have more behavioral dysfunctions, poorer performance in shoulder flexion and abduction, and lower upper limb muscle strength and endurance. More behavioral dysfunctions were associated with poorer daily functioning, lung capacity, body flexibility, shoulder flexion, and upper limb muscle strength and endurance. Those with better lung capacity, body flexibility, upper limb muscle strength, and endurance were likely to have high daily functioning scores (all p < .05). The key independent variables associated with daily functioning were behavioral dysfunction, lower body flexibility, and lung capacity, which together explained 59.3% of the total variance. CONCLUSIONS: Further research should develop appropriate activity-based intervention programs for older wheelchair users with dementia to delay their deterioration and promote their physical and mental health.

Molecular and Clinicopathological Differences by Age at the Diagnosis of Colorectal Cancer.

We compared the clinicopathological and molecular profiles between different age groups of sporadic colorectal cancer (CRC) patients (age <50, 56-60, 60-70, 70-80, and >80); 1475 CRC patients were enrolled after excluding 30 individuals with Lynch syndrome. The mutation spectra for APC, TP53, KRAS, PIK3CA, FBXW7, BRAF, NRAS, HRAS, TGFbR, Akt1, and PTEN were analyzed using polymerase chain reaction (PCR), followed by MassArray and microsatellite (MSI-high) analysis by performing genotyping. Male patients (74.1%) were significantly predominant to females (25.9%) in the older age group (70-80, >80). There was an insignificantly linear trend between TNM staging and age-onset of CRC diagnosis. Patients aged < 50 had 58.7% diseases in the advanced stages (Stage III: 36.5% and IV: 22.2% respectively), while this decreased to 40.2% (Stage III: 26.2% and IV; 14.0% respectively) in patients >80. The distributions of mutation frequency were similar in majority of the genes studied among different age groups. Additionally, patients aged <50 had significantly higher frequency of MSI-high, PTEN, and HRAS mutations than those of other groups. Age-onset at diagnosis significantly affected overall survival (HR = 1.46; 95% CI: 1.35-1.58), but not cancer-specific survival (HR = 1.08; 95% CI: 0.99-1.18) in multivariate analysis. In conclusion, molecular and clinicopathological differences were not as significant among different age groups of CRC patients as previously suspected.

Prolonged Ocular Retention of Mucoadhesive Nanoparticle Eye Drop Formulation Enables Treatment of Eye Diseases Using Significantly Reduced Dosage.

Eye diseases, such as dry eye syndrome, are commonly treated with eye drop formulations. However, eye drop formulations require frequent dosing with high drug concentrations due to poor ocular surface retention, which leads to poor patient compliance and high risks of side effects. We developed a mucoadhesive nanoparticle eye drop delivery platform to prolong the ocular retention of topical drugs, thus enabling treatment of eye diseases using reduced dosage. Using fluorescent imaging on rabbit eyes, we showed ocular retention of the fluorescent dye delivered through these nanoparticles beyond 24 h while free dyes were mostly cleared from the ocular surface within 3 h after administration. Utilizing the prolonged retention of the nanoparticles, we demonstrated effective treatment of experimentally induced dry eye in mice by delivering cyclosporin A (CsA) bound to this delivery system. The once a week dosing of 0.005 to 0.01% CsA in NP eye drop formulation demonstrated both the elimination of the inflammation signs and the recovery of ocular surface goblet cells after a month. Thrice daily administration of RESTASIS on mice only showed elimination without recovering the ocular surface goblet cells. The mucoadhesive nanoparticle eye drop platform demonstrated prolonged ocular surface retention and effective treatment of dry eye conditions with up to 50- to 100-fold reduction in overall dosage of CsA compared to RESTASIS, which may significantly reduce side effects and, by extending the interdosing interval, improve patient compliance.

Reasons for exclusion of 6820 umbilical cord blood donations in a public cord blood bank.

BACKGROUND: To provide information for umbilical cord blood (UCB) banks to adopt optimal collection strategies and to make UCB banks operate efficiently, we investigated the reasons for exclusion of UCB units in a 3-year recruitment period. STUDY DESIGN AND METHODS: We analyzed records of the reasons for exclusion of the potential UCB donation from 2004 to 2006 in the Tzu-Chi Cord Blood Bank and compared the results over 3 years. We grouped these reasons for exclusion into five phases, before collection, during delivery, before processing, during processing, and after freezing according to the time sequence and analyzed the reasons at each phase. RESULTS: Between 2004 and 2006, there were 10,685 deliveries with the intention of UCB donation. In total, 41.2% of the UCB units were considered eligible for transplantation. The exclusion rates were 93.1, 48.4, and 54.1% in 2004, 2005, and 2006, respectively. We excluded 612 donations from women before their child birth, 133 UCB units during delivery, 80 units before processing, 5010 units during processing, and 421 units after freezing. There were 24 UCB units with unknown reasons of ineligibility. Low UCB weight and low cell count were the first two leading causes of exclusion (48.6 and 30.9%). The prevalence of artificial errors, holiday or transportation problem, low weight, and infant problems decreased year after year. CONCLUSION: The exclusion rate was high at the beginning of our study as in previous studies. Understanding the reasons for UCB exclusion may help to improve the efficiency of UCB banking programs in the future.

A spot-matching method using cumulative frequency matrix in 2D gel images.

A new method for spot matching in two-dimensional gel electrophoresis images using a cumulative frequency matrix is proposed. The method improves on the weak points of the previous method called 'spot matching by topological patterns of neighbour spots'. It accumulates the frequencies of neighbour spot pairs produced through the entire matching process and determines spot pairs one by one in order of higher frequency. Spot matching by frequencies of neighbour spot pairs shows a fairly better performance. However, it can give researchers a hint for whether the matching results can be trustworthy or not, which can save researchers a lot of effort for verification of the results.

Empowering the Care of Older Adults Through the Use of Technology.

In recent years, the COVID-19 pandemic and other global crises have significantly affected the lives of older adults, impacting their healthcare, social connections, and daily routines. While the increasing digitization and automation of services offer benefits such as remote healthcare access and reduced isolation, these technologies also pose challenges in terms of unfamiliarity, learning curves, and privacy and security concerns. Addressing these issues requires a collaborative approach across various fields, including health informatics, gerontology, social psychology, human-computer interaction, and cybersecurity and privacy. Understanding the cognitive, emotional, and sociocultural factors influencing older adults' use of technologies is crucial for creating inclusive and accessible digital tools. This multidisciplinary effort, as highlighted in the special issue of Work, Aging and Retirement, aims to enhance our understanding of aging and technology in today's world, empowering older adults to remain connected and maintain their well-being.

A dynamic systems theory of intrateam conflict contagion.

Recognizing the challenges that conflict poses, organizational researchers have invested considerable energy toward investigating the processes by which conflict occurs and spreads within a team. However, current theoretical frameworks of conflict contagion posit a static growth trajectory in which members become engaged in conflict and stay in conflict. While this trajectory is certainly possible, the broader conflict literature outside of the organizational sciences has shown evidence for a more varied set of potential trajectories of conflict contagion. To advance theory on team conflict, we integrate conflict research from micro-level (interpersonal) to macro-level (interstate) perspectives into a formal theory of intrateam conflict contagion. Drawing from conflict stage and social contagion theory, we theorize that team members move through three stages of conflict (disengaged, at-risk, engaged) at rates determined by four process mechanisms (faultlines, forgiveness, frustration, integration) such that disengaged individuals become at-risk of engaging in conflict, engage in conflict, then disengage, only to potentially become at risk of reengaging at a later point in time. Using computational modeling, we demonstrate the generative sufficiency of our theory to account for conflict trajectories observed in the broader conflict literature. To facilitate the interpretation of such trajectories, we present a typology of contagion trajectories, discuss the dynamic properties of these trajectories (e.g., stability, bifurcations), and provide implications for future theory building and practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Establishment and risk factor assessment of the abnormal body temperature probability prediction model (ABTP) for dairy cattle.

The study aims to develop an abnormal body temperature probability (ABTP) model for dairy cattle, utilizing environmental and physiological data. This model is designed to enhance the management of heat stress impacts, providing an early warning system for farm managers to improve dairy cattle welfare and farm productivity in response to climate change. The study employs the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm to analyze environmental and physiological data from 320 dairy cattle, identifying key factors influencing body temperature anomalies. This method supports the development of various models, including the Lyman Kutcher-Burman (LKB), Logistic, Schultheiss, and Poisson models, which are evaluated for their ability to predict abnormal body temperatures in dairy cattle effectively. The study successfully validated multiple models to predict abnormal body temperatures in dairy cattle, with a focus on the temperature-humidity index (THI) as a critical determinant. These models, including LKB, Logistic, Schultheiss, and Poisson, demonstrated high accuracy, as measured by the AUC and other performance metrics such as the Brier score and Hosmer-Lemeshow (HL) test. The results highlight the robustness of the models in capturing the nuances of heat stress impacts on dairy cattle. The research develops innovative models for managing heat stress in dairy cattle, effectively enhancing detection and intervention strategies. By integrating advanced technologies and novel predictive models, the study offers effective measures for early detection and management of abnormal body temperatures, improving cattle welfare and farm productivity in changing climatic conditions. This approach highlights the importance of using multiple models to accurately predict and address heat stress in livestock, making significant contributions to enhancing farm management practices.

Development of a risk prediction model for radiation dermatitis following proton radiotherapy in head and neck cancer using ensemble machine learning.

PURPOSE: This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior predictive performance compared to traditional models. MATERIALS AND METHODS: Data from 57 head and neck cancer patients treated with intensity-modulated proton therapy at Kaohsiung Chang Gung Memorial Hospital were analyzed. The study incorporated 11 clinical and 9 dosimetric parameters. Pearson's correlation was used to eliminate highly correlated variables, followed by feature selection via LASSO to focus on potential RD predictors. Model training involved traditional logistic regression (LR) and advanced ensemble methods such as Random Forest and XGBoost, which were optimized through hyperparameter tuning. RESULTS: Feature selection identified six key predictors, including smoking history and specific dosimetric parameters. Ensemble machine learning models, particularly XGBoost, demonstrated superior performance, achieving the highest AUC of 0.890. Feature importance was assessed using SHAP (SHapley Additive exPlanations) values, which underscored the relevance of various clinical and dosimetric factors in predicting RD. CONCLUSION: The study confirms that EML methods, especially XGBoost with its boosting algorithm, provide superior predictive accuracy, enhanced feature selection, and improved data handling compared to traditional LR. While LR offers greater interpretability, the precision and broader applicability of EML make it more suitable for complex medical prediction tasks, such as predicting radiation dermatitis. Given these advantages, EML is highly recommended for further research and application in clinical settings.