Anammox-based technologies: A review of recent advances, mechanism, and bottlenecks.

The removal of nitrogen via the ANAMMOX process is a promising green wastewater treatment technology, with numerous benefits. The incessant studies on the ANAMMOX process over the years due to its long start-up and high operational cost has positively influenced its technological advancement, even though at a rather slow pace. At the moment, relatively new ANAMMOX technologies are being developed with the goal of treating low carbon wastewater at low temperatures, tackling nitrite and nitrate accumulation and methane utilization from digestates while also recovering resources (phosphorus) in a sustainable manner. This review compares and contrasts the handful of ANAMMOX -based processes developed thus far with plausible solutions for addressing their respective bottlenecks hindering full-scale implementation. Ultimately, future prospects for advancing understanding of mechanisms and engineering application of ANAMMOX process are posited. As a whole, technological advances in process design and patents have greatly contributed to better understanding of the ANAMMOX process, which has greatly aided in the optimization and industrialization of the ANAMMOX process. This review is intended to provide researchers with an overview of the present state of research and technological development of the ANAMMOX process, thus serving as a guide for realizing energy autarkic future practical applications.

Bioenergy recovery and carbon emissions benefits of short-term bio-thermophilic pretreatment on low organic sewage sludge anaerobic digestion: A pilot-scale study.

Sewage sludge in cities of Yangzi River Belt, China, generally exhibits a lower organic content and higher silt contentdue to leakage of drainage system, which caused low bioenergy recovery and carbon emission benefits in conventional anaerobic digestion (CAD). Therefore, this paper is on a pilot scale, a bio-thermophilic pretreatment anaerobic digestion (BTPAD) for low organic sludge (volatile solids (VS) of 4%) was operated with a long-term continuous flow of 200 days. The VS degradation rate and CH4 yield of BTPAD increased by 19.93% and 53.33%, respectively, compared to those of CAD. The analysis of organic compositions in sludge revealed that BTPAD mainly improved the hydrolysis of proteins in sludge. Further analysis of microbial community proportions by high-throughput sequencing revealed that the short-term bio-thermophilic pretreatment was enriched in Clostridiales, Coprothermobacter and Gelria, was capable of hydrolyzing acidified proteins, and provided more volatile fatty acid (VFA) for the subsequent reaction. Biome combined with fluorescence quantitative polymerase chain reaction (PCR) analysis showed that the number of bacteria with high methanogenic capacity in BTPAD was much higher than that in CAD during the medium temperature digestion stage, indicating that short-term bio-thermophilic pretreatment could provide better methanogenic conditions for BTPAD. Furthermore, the greenhouse gas emission footprint analysis showed that short-term bio-thermophilic pretreatment could reduce the carbon emission of sludge anaerobic digestion system by 19.18%.

Evaluation of the shear stability of aerobic granular sludge from a pilot-scale membrane bioreactor: Establishment of a quantitative method.

This work established a quantitative method to access the shear stability of aerobic granular sludge (AGS) and validated its feasibility by using the mature AGS from a pilot-scale (50 tons/day) membrane bioreactor (MBR) for treating real municipal wastewater. The results showed that the changing rate (ΔS) of the peak area (S) of granule size distribution (GSD) exhibited an exponential relationship (R2≥0.76) with the shear time (y=a-b·cx), which was a suitable indicative index to reflect the shear stability of different AGS samples. The limiting granule size (LGS) was defined and proposed to characterize the equilibrium size for AGS after being sheared for a period of time, whose value in terms of Dv50 showed high correlation (R2=0.92) with the parameter a. The free Ca2+ (28.44-34.21 mg/L) in the influent specifically interacted with polysaccharides (PS) in the granule's extracellular polymeric substance (EPS) as a nucleation site, thereby inducing the formation of Ca precipitation to enhance its Young's modulus, while Ca2+ primarily interacted with PS in soluble metabolic product (SMP) during the initial granulation process. Furthermore, the Young's modulus significantly affected the parameter a related to shear stability (R2=0.99). Since the parameter a was more closely related (R2=1.00) to ΔS than that of the parameter b or c, the excellent correlation (R2=0.99) between the parameter a and the wet density further verified the feasibility of this method.

Insight into diversity change, variability and co-occurrence patterns of phytoplankton assemblage in headwater streams: a study of the Xijiang River basin, South China.

Phytoplankton has been used as a paradigm for studies of coexistence of species since the publication of the "paradox of the plankton." Although there are a wealth of studies about phytoplankton assemblages of lakes, reservoirs and rivers, our knowledge about phytoplankton biodiversity and its underlying mechanisms in mountain headwater stream ecosystems is limited, especially across regional scales with broad environmental gradients. In this study, we collected 144 phytoplankton samples from the Xijiang headwater streams of the Pearl River across low altitude (< 1,000 m) located in Guangxi province, intermediate altitude (1,000 m < altitude <2,000 m) in Guizhou province and high altitude (> 2,000 m) in Yunnan province of China. Our study revealed high phytoplankton diversity in these streams. Freshwater phytoplankton, including cyanobacteria, Bacillariophyta, Chlorophyta, Rhodophyta, Chrysophyta, Euglenophyta, Glaucophyta, Phaeophyta and Cryptophyta, were all detected. However, phytoplankton alpha diversity exhibited a monotonic decreasing relationship with increasing altitude. High altitudes amplified the "isolated island" effect of headwater streams on phytoplankton assemblages, which were characterized by lower homogeneous selection and higher dispersal limitation. Variability and network vulnerability of phytoplankton assemblages increased with increasing altitudes. Our findings demonstrated diversity, variability and co-occurrence patterns of phytoplankton assemblages linked to environmental factors co-varying with altitude across regional scales.

PAFE: A lightweight visualization-based fast malware classification method.

With the development of automated malware toolkits, cybersecurity faces evolving threats. Although visualization-based malware analysis has proven to be an effective method, existing approaches struggle with challenging malware samples due to alterations in the texture features of binary images during the visualization preprocessing stage, resulting in poor performance. Furthermore, to enhance classification accuracy, existing methods sacrifice prediction time by designing deeper neural network architectures. This paper proposes PAFE, a lightweight and visualization-based rapid malware classification method. It addresses the issue of texture feature variations in preprocessing through pixel-filling techniques and applies data augmentation to overcome the challenges of class imbalance in small sample datasets. PAFE combines multi-scale feature fusion and a channel attention mechanism, enhancing feature expression through modular design. Extensive experimental results demonstrate that PAFE outperforms the current state-of-the-art methods in both efficiency and effectiveness for malware variant classification, achieving an accuracy rate of 99.25 % with a prediction time of 10.04 ms.

Assessment of Health-Related Quality of Life and Its Determinants in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study.

Background Type 2 diabetes mellitus is a complex metabolic disorder associated with several complications that determine the quality of life of the patients. Health-related quality of life (HRQoL) is a measurable outcome of the self-perception of a patient's health which is affected due to age, lifestyle changes, medication, and treatment modalities. This study was undertaken to understand the impact of individual parameters of age, medication type and duration, diabetes-associated complications, and levels of glycated hemoglobin (HbA1c) on the quality of life (QoL) of the patient.  Methodology This single-center prospective, cross-sectional study was conducted at the Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India. Participants were recruited from the Outpatient Department of General Medicine, IGIMS. HRQoL was measured using a validated and reliable EuroQol 5-dimensions 5-levels (EQ-5D-5L) questionnaire developed by the EuroQol Research Foundation, along with the EuroQol-Visual Analogue Scale (EQ-VAS). The eligibility criteria included adult diabetic patients above 18 years of age with complete medical records, who had been treated at the outpatient department for a minimum of three months and could be interviewed. Results The results from this study show that 46% of the patients belonged to the age group of 45-65 years. The quality of health index scores and EQ-VAS scores significantly correlated with age (p-values: 1.11 e-4 and 3.09 e-5; <0.05). Of the subjects, 66.4%, 6.7%, and 26.8% were under oral hypoglycaemic agents (OHA), insulin, and both insulin with OHA medications respectively. HbA1C levels were statistically significantly correlated with mobility, self-care, usual activities, pain or discomfort, and anxiety or depression (p-value 0.032; <0.05), along with self-perception of the patient's health (p-value 0.00026; <0.05). Also, the perception of having slight problems in mobility, self-care, usual activities, pain or discomfort, and anxiety or depression was similar irrespective of gender (EQ-5D-5L score for males: 9.47 and females: 9.3). Despite suffering from diabetes-associated chronic complications, 60.5% of the subjects perceived their overall health to be good as indicated by the scores. Conclusion The self-perception of HRQoL concerning mobility, self-care, usual activities, pain or discomfort, and anxiety or depression was correlated with age, duration of anti-diabetic medication, and HbA1C level. Good mobility, self-care, and performing usual activities reduce anxiety or depression as opposed to age, pain, and discomfort. However, the subjects in this study cohort perceived overall good health in themselves in terms of EQ-VAS and 5D-5L scores, indicating effective diabetic care and management options available to them.

A General Factor of Hypnotizability Revealed by Confirmatory Factor Analysis.

The objective of this study was to determine the model fit of a standardized hypnotizability measure in a targeted clinical sample. The Stanford Hypnotic Susceptibility Scale, Form C (SHSS:C) was administered to 168 post-menopausal women aged 39 to 75 years. Confirmatory factor analysis was conducted, and comparative fit index (CFI) and root mean square error of approximation (RMSEA) were used to determine goodness of fit. Results indicated that the single-factor structure modeled with twelve indicators based on the individual items on the SHSS:C provided the best description of fit. Results of the present study demonstrate that the SHSS:C has a single-factor structure. These findings suggest that new scales of hypnotizability can be optimized by focusing on the use of items that correlate highly with the overall score representing the unidimensional construct of hypnotizability. The findings should be interpreted with caution due to the small sample size, and further research is needed with other populations to clarify generalizability.

Promoting Collaborative Scholarship During the COVID-19 Pandemic Through an Innovative COVID-19 Data Explorer and Repository at Yale School of Medicine: Development and Usability Study.

BACKGROUND: The COVID-19 pandemic sparked a surge of research publications spanning epidemiology, basic science, and clinical science. Thanks to the digital revolution, large data sets are now accessible, which also enables real-time epidemic tracking. However, despite this, academic faculty and their trainees have been struggling to access comprehensive clinical data. To tackle this issue, we have devised a clinical data repository that streamlines research processes and promotes interdisciplinary collaboration. OBJECTIVE: This study aimed to present an easily accessible up-to-date database that promotes access to local COVID-19 clinical data, thereby increasing efficiency, streamlining, and democratizing the research enterprise. By providing a robust database, a broad range of researchers (faculty and trainees) and clinicians from different areas of medicine are encouraged to explore and collaborate on novel clinically relevant research questions. METHODS: A research platform, called the Yale Department of Medicine COVID-19 Explorer and Repository (DOM-CovX), was constructed to house cleaned, highly granular, deidentified, and continually updated data from over 18,000 patients hospitalized with COVID-19 from January 2020 to January 2023, across the Yale New Haven Health System. Data across several key domains were extracted including demographics, past medical history, laboratory values during hospitalization, vital signs, medications, imaging, procedures, and outcomes. Given the time-varying nature of several data domains, summary statistics were constructed to limit the computational size of the database and provide a reasonable data file that the broader research community could use for basic statistical analyses. The initiative also included a front-end user interface, the DOM-CovX Explorer, for simple data visualization of aggregate data. The detailed clinical data sets were made available for researchers after a review board process. RESULTS: As of January 2023, the DOM-CovX Explorer has received 38 requests from different groups of scientists at Yale and the repository has expanded research capability to a diverse group of stakeholders including clinical and research-based faculty and trainees within 15 different surgical and nonsurgical specialties. A dedicated DOM-CovX team guides access and use of the database, which has enhanced interdepartmental collaborations, resulting in the publication of 16 peer-reviewed papers, 2 projects available in preprint servers, and 8 presentations in scientific conferences. Currently, the DOM-CovX Explorer continues to expand and improve its interface. The repository includes up to 3997 variables across 7 different clinical domains, with continued growth in response to researchers' requests and data availability. CONCLUSIONS: The DOM-CovX Data Explorer and Repository is a user-friendly tool for analyzing data and accessing a consistently updated, standardized, and large-scale database. Its innovative approach fosters collaboration, diversity of scholarly pursuits, and expands medical education. In addition, it can be applied to other diseases beyond COVID-19.

Turkish Validation and Cultural Adaptation of the Family Care Ability Assessment Scale for Pediatric Oncology Caregivers.

OBJECTIVES: This study aimed to investigate the psychometric properties of the Turkish version of the "Caring Ability of Family Caregivers of Patients with Cancer Scale" in parents of children with cancer". METHODS: The current study has a methodological design. The study group consisted of 493 parents of children with oncological problems who were followed in the pediatric hematology-oncology departments of three university hospitals. Data were collected between January and December 2021 through convenience sampling. The face, content construct validity, internal consistency, and scale stability were evaluated. SPSS 26.0 and LISREL 8.80 package programs were used to analyze the data. RESULTS: In the confirmatory factor analysis; root mean- mean square error of approximation, comparative fit index, normed fit index, and non-normed fit index were determined to be 0.08, 0.93, 0.91, and 0.92, respectively. Cronbach's alpha reliability coefficient obtained from the entire scale was calculated to be 0.88, the stability correlation coefficient was 0.84 (p < .005) and the item-total correlation coefficient was calculated between 0.249 and 0.716. CONCLUSIONS: The scale adapted to Turkish culture can be considered a valid and reliable tool for the assessment of the caring ability of family caregivers of patients with cancer. IMPLICATIONS FOR NURSING PRACTICE: The scale can be used to assess parents' caregiving abilities, to determine their strengths and weaknesses. In this respect, it can contribute to the creation of an education plan, the development of parents' caregiving abilities and the increase in the quality of care.

Efficacy of a Combination of Functional Exercise and Psychological Interventions in Improving Postoperative Rehabilitation and Intervention Compliance in Patients With Breast Cancer.

OBJECTIVE: This study aimed to investigate the effect of a combination of functional exercise and psychological interventions on postoperative rehabilitation and intervention compliance in patients with breast cancer (BC). METHODS: This study involved 100 patients with BC who underwent a radical mastectomy in our hospital between April 2020 and April 2021. We assigned patients to a control group (with a functional exercise intervention for patients) and an observation group (where patients received psychological interventions based on functional exercise) using a random number table. We observed and recorded the general data, intervention compliance, range of motion (ROM) of the shoulder joint pre and postintervention, pre and postintervention quality of life scores, and anxiety and depression scores before and after the interventions. RESULTS: There were no significant differences in general data between the 2 groups (P > .05). Repeated measures analysis showed no preintervention differences in compliance, shoulder ROM, quality of life, or anxiety and depression scores (P > .05). Postintervention, compliance and shoulder ROM improved in both groups, with the observation group significantly outperforming the control group (P < .05). Quality of life scores improved significantly in both groups, with higher scores in the observation group at 1 and 3 months (P < .05). Anxiety and depression scores decreased in both groups, with the observation group showing lower scores than the control group (P < .05). CONCLUSION: Combining functional exercise with psychological interventions improves treatment compliance, psychological status, postoperative shoulder ROM, and quality of life in breast cancer patients.

Hypoactive sexual desire disorder in women: new possibilities to ensure better understanding, diagnosis, and response to treatment.

BACKGROUND: Hypoactive Sexual Desire Disorder (HSDD) is a frequent sex-related problem in women; however, a specific tool to characterize HSDD subtypes based on sexual inhibitory and excitatory factors is still lacking. AIM: (1) To find a cutoff value in Sexual Inhibition Scale (SIS)/Sexual Excitation Scale (SES) scores predicting a diagnosis of HSDD in women consulting for sexual symptoms, (2) to explore the sexual inhibitory and excitatory profiles in women referred to a clinic for female sexual dysfunction by stratifying the sample according to the newfound cutoffs, and (3) to identify biopsychosocial factors significantly associated with the 2 profiles. METHODS: An overall 133 women consulting for sexual symptoms were retrospectively evaluated for clinical, biochemical, and psychosexologic data collected at the first visit. A subgroup of 55 women treated with transdermal testosterone was retrospectively analyzed at baseline and the 6-month visit. OUTCOMES: Patients underwent physical and laboratory examinations and completed the SIS/SES, Female Sexual Function Index, Female Sexual Distress Scale-Revised, Emotional Eating Scale, and Middlesex Hospital Questionnaire. RESULTS: Specific cutoffs for SIS1 (≥32.5; indicating threat of performance failure) and SES (≤46.5) predicted HSDD diagnosis with an accuracy of 66.4% (P = .002) and 68.7% (P < .0001), respectively. Patients with impaired SIS1 scores showed higher distress and psychopathologic symptoms, while those with impaired SES scores demonstrated lower desire and arousal and a negative association with some metabolic and hormonal parameters. SES score also showed a significant predictive value on testosterone treatment efficacy for HSDD. CLINICAL TRANSLATION: A better characterization of HSDD would enable individualized treatment based on the main underlying etiologies. STRENGTHS AND LIMITATIONS: Limitations of the study include the small sample size and cross-sectional retrospective design, with the choice of treatment for HSDD limited to transdermal testosterone. Strengths comprise the thorough and multifactorial evaluation of every aspect potentially affecting inhibitory and excitatory components of sexual desire. CONCLUSION: Validated cutoffs of SIS/SES scores could allow deep characterization of women diagnosed with HSDD, thus ensuring better tailoring of therapy and prediction of the probability of response to specific treatments.

Assessment of the reliability, responsiveness, and meaningfulness of the scale for the assessment and rating of ataxia (SARA) for lysosomal storage disorders.

OBJECTIVE: To evaluate the reliability, responsiveness, and validity of the Scale for the Assessment and Rating of Ataxia (SARA) in patients with lysosomal storage disorders (LSDs) who present with neurological symptoms, and quantify the threshold for a clinically meaningful change. METHODS: We analyzed data from three clinical trial cohorts (IB1001-201, IB1001-202, and IB1001-301) of patients with Niemann-Pick disease type C (NPC) and GM2 Gangliosidoses (Tay-Sachs and Sandhoff disease) comprising 122 patients and 703 visits. Reproducibility was described as re-test reliability between repeat baseline visits or baseline and post-treatment washout visits. Responsiveness was determined in relation to the Investigator's, Caregiver's, and Patient's Clinical Global Impression of Improvement (CGI-I). The CGI-I data was also used to quantify a threshold for a clinically meaningful improvement on the SARA scale. Using a qualitative methods approach, patient/caregiver interviews from the IB1001-301 trial were further used to assess a threshold of meaningful change as well as the breadth of neurological signs and symptoms captured and evaluated by the SARA scale. RESULTS: The Inter-Class Correlation (ICC) was 0.95 or greater for all three trials, indicating a high internal consistency/reliability. The mean change in SARA between repeat baseline and post-treatment washout visit assessments in all trials was -0.05, SD 1.98, i.e., minimal, indicating no significant differences, learning effects or other systematic biases. For the CGI-I responses and change in SARA scores, Area Under the Curve (AUC) values were 0.82, 0.71, and 0.77 for the Investigator's, Caregiver's, and Patient's CGI-I respectively, indicating strong agreement. Further qualitative analyses of the patient/caregiver interviews demonstrated a 1-point or greater change on SARA to be a clinically meaningful improvement which is directly relevant to the patient's everyday functioning and quality of life. Changes captured by the SARA were also paralleled by improvement in a broad range of neurological signs and symptoms and beyond cerebellar ataxia. CONCLUSION: Qualitative and quantitative data demonstrate the reliability and responsiveness of the SARA score as a valid measure of neurological signs and symptoms in LSDs with CNS involvement, such as NPC and GM2 Gangliosidoses. A 1-point change represents a clinically meaningful transition reflecting the gain or loss of complex function.

Quality of life of children and young adults with Down syndrome from caregivers' perspective: A systematic review and meta-analysis.

Introduction: Down syndrome (DS) negatively impacts the well-being of affected individuals. This study aimed to summarise the evidence on quality of life (QOL) of children and young adults with DS using quantitative measures from caregivers' perspective and identify factors that affected their QOL. Method: Database search was conducted on PubMed, Embase, Web of Science and CINAHL on 24 April 2024. Meta-analysis using random effects model was conducted where feasible. All studies underwent qualitative synthesis. The study protocol was registered with PROSPERO (CRD42023413532). Results: Seventeen studies involving 3038 children with DS using various QOL measures were included: Pediatric Quality of Life Inventory (PedsQL) (8 studies), KIDSCREEN (4 studies), KidsLife (2 studies), The Netherlands Organization for Applied Scientific Research Academic Medical Center Children's QOL (2 studies) and Personal Outcome Scale (1 study). Meta-analysis on PedsQL studies compared scores between children with DS and typically developing (TD) children. Total scale score was lower in children with DS (mean 70.28, 95% confidence interval [CI] 64.31-76.24) compared to TD children (mean 88.17, 95% CI 80.50-95.83). All subdomains of PedsQL were also lower in children with DS. Within the domain of psychosocial health, children with DS had statistically significant lower social functioning (standardised mean difference -1.40, 95% CI -2.27 to -0.53) and school functioning (standardised mean difference -1.09, 95% CI -1.55 to -0.62) scores, but similar emotional functioning scores. Qualitative synthesis revealed poorer subdomain QOL compared to TD children, especially in social functioning and cognitive functioning. QOL worsened during adolescent years. Family variables (parental education and occupation) did not affect parental perception of children's QOL. Children with DS who had higher intelligent quotient had better QOL. Conclusion: Children with DS have lower caregiver-reported QOL than TD children, especially in social functioning and school functioning subdomains.

Scale at the interface of spatial and social ecology.

Animals simultaneously navigate spatial and social environments, and their decision-making with respect to those environments constitutes their spatial (e.g. habitat selection) and social (e.g. conspecific associations) phenotypes. The spatial-social interface is a recently introduced conceptual framework linking these components of spatial and social ecology. The spatial-social interface is inherently scale-dependent, yet it has not been integrated with the rich body of literature on ecological scale. Here, we develop a conceptual connection between the spatial-social interface and ecological scale. We propose three key innovations that incrementally build upon each other. First, the use-availability framework that underpins a large body of literature in behavioural ecology can be used in analogy to the phenotype-environment nomenclature and is transferable across the spatial and social realms. Second, both spatial and social phenotypes are hierarchical, with nested components that are linked via constraints-from the top down-or emergent properties-from the bottom up. Finally, in both the spatial and social realms, the definitions of environment and phenotype depend on the focal scale of inquiry. These conceptual innovations cast our understanding of the relationships between social and spatial dimensions of animal ecology in a new light, allowing a more holistic understanding and clearer hypothesis development for animal behaviour. This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.

Exploring the path of digital governance of urban industrial pollution: empirical evidence from 280 cities in China.

Urban industrial pollution plays a dominant role in environmental pollution in China. Exploring the digital governance path of urban industrial pollution can provide strong support for improving environmental quality. This article empirically investigates the role and path of digitalization in the governance of urban industrial pollution from three dimensions: economic scale, structural scale, and technological scale. The results show that there is an inverted "U"-shaped relationship between digitalization and urban industrial pollution, with initial promotion followed by suppression. Among them, economic scale, industrial transformation and upgrading, and green innovation are the paths for digital governance of urban industrial pollution. In addition, there is a chain path of "green innovation-industrial transformation and upgrading" between the two. Through spatial Durbin model and regional heterogeneity analysis, it is found that digitalization has a spatial spillover effect on urban industrial pollution control, and eastern regions, regions with high economic development level and industrialized cities benefit more from digital urban industrial pollution control. The research conclusions of this article provide references for the Chinese government to formulate relevant policies, deepen the integration of digitalization and urban industrial pollution, and promote digital governance of urban industrial pollution.

Development and Validation of Ikhlaas Scale for Pakistani Muslim Adults.

Ikhlaas refers to the capacity of having sincere intentions in both acts of worship (ibadah) dedicated to God and our dealings with others, as we strive to seek God's pleasure. The present research was primarily conducted to develop a psychometrically sound measure of ikhlaas and establish its construct validity. Using an exploratory sequential mixed methods design, it comprised two studies. Study 1 was conducted in three phases. In Phase 1, an initial set of 17 items for the Ikhlaas Scale (IS) was developed through the thematic analysis of Quranic verses, semi-structured interviews, and focus group discussions. Phase 2 was related to the translation and cross-language validation of scales. Phase 3 involved administering this item pool to a sample of Pakistani Muslim adults (N = 300) and conducting an exploratory factor analysis (EFA) that revealed a two-factor structure (item loading 0.45-0.89) for the 12-item IS, accounting for 43.65% of the variance. The first factor measured ikhlaas in worship (7 items), while the second factor measured ikhlaas in dealings with others (5 items). Ikhlaas had a significant positive correlation with taqwa and significant negative correlations with materialism, providing evidence for the convergent validity of the IS. In Study 2, confirmatory factor analysis (CFA) conducted on a sample of Muslim adults (N = 702) confirmed the 12-item, two-factor structure of the IS observed in the EFA. Ikhlas was positively related to religious commitment and religious emphasis. In the final measurement model, the average variance extracted (AVE) of all constructs (ikhlaas, religious emphasis, and religious commitment) was > 0.50, the values of maximum shared variance (MSV) were lower than those of AVE, and the diagonal values of the square root of the AVE were higher than the intercorrelations. The heterotrait-monotrait correlation ratio (HTMT) ranged from 0.51 to 0.61, which testified to the discriminant validity of IS. Overall, the IS is a robust measure of ikhlaas that needs to be further studied for developing its nomological network across global Muslim populations.

Evaluation of reflective fiber-optic surface plasmon resonance sensor for monitoring scale deposition.

A reflective surface plasmon resonance (SPR) sensor was evaluated for real-time monitoring of scale deposition. The sensor consists of an optical fiber, only 5 mm at the gold-coated tip of the sensing area. The effect of silica growth on the sensor response was evaluated using a Na2SiO3 solution. The sensitivity of the sensor to silica was 1.6 ± 0.3 nm per one immersion in the solution of 1000 mg/L (as SiO2) at 85 °C and subsequnt air drying, as indicated by the SPR peak shift. The amount of silica deposited on the gold surface was measured by the quartz crystal microbalance method, and the SPR sensitivity of 0.089 nm/ng to silica mass was obtained. The detection limit (3σ) of the SPR sensor was 17 ng, corresponding to a thickness of 2.5 nm for amorphous silica. The SPR sensor was tested in geothermal brine sampled at the Sumikawa Geothermal Power Plant, where a clear SPR shift was observed, suggesting the effectiveness of the SPR sensor for scale monitoring.

The SMILE scale: a wellness behavioral tool for patients with cancer.

PURPOSE: As cancer survivorship increases, there is a need for simple tools to measure and promote healthy behaviors. We created a wellness behavioral tool (the SMILE Scale) to encourage self-monitoring of wellness behaviors. This study aimed to determine the feasibility of collecting daily self-reported SMILE Scale data and weekly quality of life data among patients with cancer. We also aimed to measure the association between SMILE Scale responses and validated health-related quality of life (HRQOL) tools (PROMIS-29 + 2 and SymTrak-8) as a pilot test of the hypothesis that increased wellness behaviors may impact quality of life. METHODS: We surveyed 100 patients with cancer at the Indiana University Simon Comprehensive Cancer Center. Participants were asked to complete daily SMILE Scale assessments over a two-week period, as well as weekly PROMIS-29 + 2 and SymTrak-8 surveys. The primary endpoint was the SMILE Scale completion rate. Secondary endpoints in this single-arm pilot study included correlations between the SMILE Scale and other HRQOL tools. RESULTS: Daily completion rate of the SMILE Scale ranged from 57% to 65% of participants over a 14-day period. Among the 61% of participants who completed SMILE on day 1, 87% completed SMILE on 10 of 14 days. By end of study, participants who self-reported more wellness behaviors (i.e., higher daily SMILE scores) demonstrated significantly higher PROMIS physical health (p = 0.003), higher PROMIS mental health (p = 0.008), and lower (better) SymTrak total symptom burden (p = 0.006). Further, among those who completed at least 1 of 14 daily SMILE assessments, quality of life significantly improved over the two-week period for PROMIS mental health (p = 0.018) and SymTrak total symptom burden (p = 0.014). CONCLUSION: The SMILE Scale completion rate did not satisfy our pre-planned ≥70% threshold for feasibility; however, the rate for completing SMILE at least once during the 14 days (77%) met this threshold. Participants with higher average daily SMILE scores had significantly better scores across other validated HRQOL tools. While these results may be correlative and not causative, this suggests a potential physical and mental health benefit for delivering the SMILE Scale in clinical practice to help encourage healthy behaviors and warrants testing the SMILE Scale's impact in future studies.

[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatment have garnered significant attention from physicians in recent years. Traditional methods of detecting AF heavily rely on doctor's diagnosis based on electrocardiograms (ECGs), but prolonged analysis of ECG signals is very time-consuming. This paper designs an AF detection model based on the Inception module, constructing multi-branch detection channels to process raw ECG signals, gradient signals, and frequency signals during AF. The model efficiently extracted QRS complex and RR interval features using gradient signals, extracted P-wave and f-wave features using frequency signals, and used raw signals to supplement missing information. The multi-scale convolutional kernels in the Inception module provided various receptive fields and performed comprehensive analysis of the multi-branch results, enabling early AF detection. Compared to current machine learning algorithms that use only RR interval and heart rate variability features, the proposed algorithm additionally employed frequency features, making fuller use of the information within the signals. For deep learning methods using raw and frequency signals, this paper introduced an enhanced method for the QRS complex, allowing the network to extract features more effectively. By using a multi-branch input mode, the model comprehensively considered irregular RR intervals and P-wave and f-wave features in AF. Testing on the MIT-BIH AF database showed that the inter-patient detection accuracy was 96.89%, sensitivity was 97.72%, and specificity was 95.88%. The proposed model demonstrates excellent performance and can achieve automatic AF detection.

Advanced enzymatic multigram-scale production of nucleotide sugars in a continuous fed-batch membrane reactor.

Enzymatic production of nucleotide sugars on a multigram scale presents a challenge, as only a few processes have been reported for large-scale nucleotide sugar production. They rely primarily on batch synthesis and employ exceptional amounts of enzymes. This study introduces a novel approach for the multigram-scale production of nucleotide sugars with a continuous fed-batch membrane reactor. We successfully synthesized five main nucleotide sugars: UDP-Gal, UDP-GalNAc, UDP-GlcA, GDP-Man, and CMP-Neu5Ac on a multigram scale. Efficient biocatalyst utilization results in high performance, including space-time yield (STY, g*L-1h-1), total turnover number (TTN, g product per g enzyme), and an efficient product formation rate (g/h) suitable for industrially relevant bioprocesses. The established continuous-fed batch reactor system produced up to 8.2 g CMP-Neu5Ac in three consecutive productions in less than 15 h with satisfying TTNs of 91 gProduct/gEnzyme. Continuous production of UDP-GlcA over 28 h resulted in a final product amount of 14.8 g and TTN of 493 gP/gE. This process enables the production of nucleotide sugars with stable product formation, requiring minimal technical equipment for multigram quantities of nucleotide sugars at the laboratory scale. Notably, the system exhibited robustness and flexibility, allowing its application to various enzymatic nucleotide sugar synthesis cascades.