The integration of socially assistive robots (SARs) in mental healthcare offers promising opportunities to enhance traditional treatments. The humanoid SAR "Pepper" has shown potential for supporting cognitive and emotional interventions for individuals. While SAR acceptance has been explored in general healthcare, limited evidence exists regarding its usability and acceptance among individuals with affective disorders. This study aimed to assess the usability and acceptance of "Pepper" as an adjunct motivational technology in combination with tablet-based cognitive training, compared to tablet training alone, among inpatients with depression, focusing on sex-specific differences. A randomized controlled trial was conducted between June and October 2024 with 32 inpatients diagnosed with depression. Participants were randomly assigned to one of two groups: the SAR group, which used "Pepper" together with the cognitive training app "Multimodal Activation" in combination with motivational feedback, and the control group, which used the same app on a tablet without motivational feedback. Each participant completed two cognitive training sessions of approximately 10 to 20 minutes. Standardised questionnaires, namely, Technology Acceptance Model (TAM), System Usability Scale (SUS), and Technology Usage Inventory (TUI), were administered after the second session. To analyze group and sex differences, analyses of co-variance were used for single-scale measures (SUS, TUI Overall), and multiple analyses of co-variances were used for instruments with multiple subscales (TAM, TUI). A significant group difference was found in the SUS score, favoring the SAR group. The SAR group also scored higher in the TUI User-Friendliness, while the tablet group showed higher scores in Accessibility. Regarding sex differences, female participants scored higher on the TUI Overall and Scepticism subscales than male participants. These findings suggest that SAR-supported cognitive training is a viable and accepted tool for supporting cognitive training in psychiatric care. High usability and positive acceptance ratings indicate its potential to complement conventional therapies. The observed sex-specific differences underline the relevance of tailored robotic interventions. Limitations of this study include the small sample size and short intervention period. Further studies are warranted to validate these findings and examine the ethical considerations and human-robot interaction dynamics in psychiatric settings.
We here propose a new, monotypic genus, Amiga Nakahara, Willmott & Espeland, gen. n., to harbor a common Neotropical butterfly, described as Papilioarnaca Fabricius, 1776, and hitherto placed in the genus Chloreuptychia Forster, 1964. Recent and ongoing molecular phylogenetic research has shown Chloreuptychia to be polyphyletic, with C.arnaca proving to be unrelated to remaining species and not readily placed in any other described genus. Amigaarnaca gen. n. et comb. n. as treated here is a widely distributed and very common species ranging from southern Mexico to southern Brazil. A neotype is designated for the names Papilioarnaca and its junior synonym, Papilioebusa Cramer, 1780, resulting in the treatment of the latter name as a junior objective synonym of the former. A lectotype is designated for Euptychiasericeella Bates, 1865, which is treated as a subspecies, Amigaarnacasericeella (Bates, 1865), comb. n. et stat. n., based on molecular and morphological evidence. We also describe two new taxa, Amigaarnacaadela Nakahara & Espeland, ssp. n. and Amigaarnacaindianacristoi Nakahara & Marín, ssp. n., new subspecies from the western Andes and eastern Central America, and northern Venezuela, respectively.
The analysis of microbial growth is one of the central methods in the field of microbiology. Microbial growth dynamics can be characterized by meaningful parameters, including carrying capacity, exponential growth rate, and growth lag. However, microbial assays with clinical isolates, fastidious organisms, or microbes under stress often produce atypical growth shapes that do not follow the classical microbial growth pattern. Here, we introduce the analysis of microbial growth assays (AMiGA) software, which streamlines the analysis of growth curves without any assumptions about their shapes. AMiGA can pool replicates of growth curves and infer summary statistics for biologically meaningful growth parameters. In addition, AMiGA can quantify death phases and characterize diauxic shifts. It can also statistically test for differential growth under distinct experimental conditions. Altogether, AMiGA streamlines the organization, analysis, and visualization of microbial growth assays. IMPORTANCE Our current understanding of microbial physiology relies on the simple method of measuring microbial populations' sizes over time and under different conditions. Many advances have increased the throughput of those assays and enabled the study of nonlab-adapted microbes under diverse conditions that widely affect their growth dynamics. Our software provides an all-in-one tool for estimating the growth parameters of microbial cultures and testing for differential growth in a high-throughput and user-friendly fashion without any underlying assumptions about how microbes respond to their growth conditions.
The Arthropodan Mitochondrial Genomes Accessible database (AMiGA) is a relational database developed to help in managing access to the increasing amount of data arising from developments in arthropodan mitochondrial genomics (136 mitochondrial genomes as of September 2005). The strengths of AMiGA include (1) a more accessible and up-to-date database containing a more comprehensive set of mitochondrial genomes for this phylum, (2) the provision of flexible search options for retrieving detailed information such as bibliographical data, genomic graphics, FASTA sequences and taxonomical status, (3) the possibility of enhanced comparative analyses by multiple alignment of single or concatenated sets of genes, (4) more accurate and updated information resulting from a specific curation process called AMiGA Notes and (5) the possibility of including unpublished sequences in a password-restricted area for comparative analysis with the other sequences stored in the database. http://amiga.cbmeg.unicamp.br lessinger@amiga.cbmeg.unicamp.br Detailed information, including an illustrated tutorial, is available from the above URL.
The Amiga 3000 is nearly ideal for desktop molecular modeling. It uses the Motorola 68030 32-bit processor, running at 16 or 25 MHz, with either the 68881 or 68882 math coprocessor and eight custom processing chips. The video system is NTSC compatible 15.75- or 31.5-KHz RGB analog or digital. The system video interface offers user selectable 320 x 200, 640 x 480, 768 x 480 or 1280 x 400 resolution with a displayable palette of 4,096 colors and interlaced, noninterlaced and overscan modes. NTSC compatibility permits simple and inexpensive video signal synchronization, so that composed monitor images can be displayed and recorded with standard video equipment. The processor, in conjunction with the custom video chips, can manipulate models mathematically at a sufficient rate to present moving or animated images in real time. Users can interact with the molecular image with mouse or joystick controls. A third-party manufacturer, Haitex Resources, has produced an inexpensive stereo image display interface for the Amiga. This stereo image display system consists of liquid crystal shutter goggles attached to a control module on one mouse/joystick port and synchronized at 60 Hz with alternating left/right screen displays. Several simple molecular graphics programs for the Amiga have been available in the public domain since 1988. The ease of video interfacing and the availability of stereo image display have stimulated several developers to begin assembling molecular modeling packages. At the National Biomedical Research Foundation the Amiga is being tested as an inexpensive stereo-image color graphics workstation for molecular modeling, biopolymer sequence analysis and medical imaging.(ABSTRACT TRUNCATED AT 250 WORDS)
As recently described by Garavelli, the Commodore Amiga 3000 computer is "nearly ideal" for desktop molecular modeling. The chief drawback to date, has been the lack of suitable software. This paper describes a new desktop molecular modeling package, MoG, which is suitable for both research and educational use. The speed of the Amiga 3000 means that MoG competes very favorably with software on IBM-PC machines, and its graphics capabilities allow excellent space-filling representations. The availability of cheap software-compatible home-computer versions of the Amiga places interactive molecular graphics within the reach of many senior high-school students, undergraduates and graduate students.
Illness can be the cause and consequence of unemployment. These relationships are well documented but only few data on the effectiveness of interventions are available. The study examines the effectiveness of a combined health and employment promotion intervention (AmigA - currently projected in several sites in Germany) for the older long-term unemployed with the main goals of an improvement of health and integrability as well as sustainable reintegration into the labour market. The evaluation design is a randomised controlled trial with a multi-method approach. A total of 71 participants could be included in the evaluation. Initial results confirm earlier findings on health and unemployment and show a psychologically and physically highly burdened sample. The intervention tended to improve depression, self-efficacy and quality of life. No effects were found for physical health, integrability and sustainable reintegration. It is discussed whether a longer duration and a higher intensity of the intervention might produce better results. The necessity of help and interventions for this highly burdened group of persons is evident but further studies are necessary to decide if the evaluated intervention is adequate to reach the goals of health and employment promotion as a standard measure.
We conducted a pilot test of a patient navigation intervention (Una Mano Amiga) to address cancer health disparities in three rural counties in southwest New Mexico. We trained two bilingual lay health workers (promotoras) as patient navigators (PNs) to help adult cancer patients and their participating families in Grant, Luna, and Hidalgo counties "navigate" the health care system, including appropriate access to social and financial services. Our hypothesized outcome was a reduction in time from diagnosis to treatment initiation compared to the average time without PNs in each of the three counties (2000-2009). We enrolled 85 eligible patients and 43 eligible family members who had completed psychosocial and demographic forms in this PN intervention. Mean time from cancer diagnosis to treatment initiation among 41 study patients was 59.6 days across the three counties. Mean time from non-intervention comparison data was 47.1 days. In the intervention group, on a 0-10 satisfaction scale (higher = more), patient mean scores for three items ranged from 9.3 to 9.6, family members, 8.9-9.3. Caregiver stress as measured by a Caregiver Self-Assessment score ≥ 10 (highest stress = 16) decreased from 23.8% of caregivers at study entry to 14.3% at follow-up (not statistically significantly different). Although the PN intervention did not decrease time from diagnosis to treatment initiation compared to three comparison counties, positive reactions of patients and family members support further research with larger samples.
Three phytases were purified about 14200-fold (LP11), 16000-fold (LP12), and 13100-fold (LP2) from germinated 4-day-old lupine seedlings to apparent homogeneity with recoveries of 13% (LP11), 8% (LP12), and 9% (LP2) referred to the phytase activity in the crude extract. They behave as monomeric proteins of a molecular mass of about 57 kDa (LP11 and LP12) and 64 kDa (LP2), respectively. The purified proteins belong to the acid phytases. They exhibit a single pH optimum at 5.0. Optimal temperature for the degradation of sodium phytate is 50 degrees C. Kinetic parameters for the hydrolysis of sodium phytate are K(M) = 80 microM (LP11), 300 microM (LP12), and 130 microM (LP2) and k(cat) = 523 s(-1) (LP11), 589 s(-1) (LP12), and 533 s(-1) (LP2) at pH 5.0 and 35 degrees C. The phytases from lupine seeds exhibit a broad affinity for various phosphorylated compounds and hydrolyze phytate in a stepwise manner.
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A total of 20 weaned rabbits (33 days old) (10 per treatment) were fed one of two diets that included 150 g of sunflower meal (SF)/kg of diet or 120 g of whole white lupin (WL)/kg of diet for 42 days. The WL diet contained less saturated fatty acids (SFA) and polyunsaturated fatty acids (PUFA) but more monounsaturated fatty acids (MUFA) than the SF diet. The WL diet significantly decreased SFA and PUFA content, as well as the PUFA n-6/PUFA n-3 ratio and saturation, atherogenic and thrombogenic indexes in hind leg meat. The fatty acid composition in perirenal fat was similar to that of hind leg meat; however, significantly higher MUFA levels were observed in rabbits fed the WL diet. Thus, feeding rabbits the WL diet affected the fatty acid profile of hind leg meat and perirenal fat in a favourable manner.
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease primarily affecting motor neurons. Neurofilament light chain (NfL) is the most established prognostic biomarker; however, its diagnostic resolution is limited, particularly within intermediate concentration ranges, and it does not capture the molecular heterogeneity of ALS. This study aimed to identify complementary cerebrospinal fluid (CSF) biomarkers and pathway-specific signatures through a non-targeted multiomic approach. We performed SWATH-MS-based proteomics and LC-MS/MS lipidomics on CSF from ALS patients stratified by survival (ALS-SS and ALS-LS) and healthy controls. Weighted protein co-expression network analysis (WPCNA) was applied to identify biologically coherent protein modules associated with disease phenotype and progression. Top biomarker candidates were further evaluated using immunoassays in an independent cohort. Post-mortem ALS spinal cord tissues were analyzed to explore the pathophysiological relevance of identified proteins. CSF proteomic profiles robustly distinguished ALS patients from controls and stratified patient subgroups by survival, revealing a molecular signature characterized by inflammation, downregulation of detoxification mechanisms, and synaptic dysregulation in aggressive disease forms. In contrast, lipidomic profiles showed limited discriminatory power. WPCNA identified modular proteomic signatures capturing ALS heterogeneity, and machine learning models based on these profiles yielded optimal biomarker panels for diagnosis and prognosis. CXCL7 emerged as a promising complementary biomarker, and shed light in disease physiopathology. Immunoassay validation supported the diagnostic and prognostic potential of CXCL7 and its association with survival time. Histopathological analysis further confirmed CXCL7 localization in anterior horn motor neurons, despite no detectable changes in whole spinal cord lysates at late disease stages. Comprehensive CSF proteomic profiling, combined with network-based analysis, enhances our understanding of ALS molecular heterogeneity and provides a framework for precision biomarker discovery. CXCL7 complements NfL as a diagnostic and prognostic biomarker, supporting improved patient stratification and advancing the development of personalized therapeutic strategies in ALS.
Efforts to achieve a circular economy emphasize waste minimization while maximizing its value through recycling and reuse. Volatile Fatty Acids (VFAs), derived from organic waste streams, hold biotechnological potential as raw materials for producing value-added compounds offering sustainable alternatives to traditional petroleum-based approaches. The phenotypic and genomic plasticity of non-Saccharomyces yeasts positions them as ideal candidates for VFAs metabolization. In this study, the growth profiles of 48 yeasts were assessed using seven VFAs as sole carbon sources, as representative of a real organic waste stream composition. Growth was assessed individually and in mixtures of the VFAs, at concentrations representative of the organic biowastes. Using AMiGA tool we deepened yeasts growth dynamics based on the optical density growth curves measurements. Ten isolates showcased superior performance, through their varied growth under different VFAs combinations. Acetic and isobutyric acids were the most favourable VFAs for non-Saccharomyces yeasts growth, balancing efficiency and adaptability. In contrast, butyric and caproic acids were the less effective, likely due to metabolic constraints or inhibitory effects. Yeasts favoured lipid synthesis over TCA intermediates, glycerol and ethanol. Two C. jadinii strains stood out as particularly interesting considering their metabolic plasticity, successfully assimilating both individual and combined VFAs, achieving the highest growth coupled with a superior lipid production (19.5-26.7 % (w/w)). These findings establish C. jadinii as an oleaginous yeast, a trait firstly reported here, underscoring its promise as a cornerstone for biowaste valorisation.
From 2013 to 2021, the University of the Philippines Community Health and Development Program (UP CHDP) was in partnership with Cavite and its five municipalities of Alfonso, Mendez, Indang, General Emilio Aguinaldo, and Amadeo (AMIGA). They aimed to improve the control of hypertension and diabetes through interventions such as the organization of community health clubs, as recommended by the Department of Health in 2016. Currently there is limited information on the experiences and outcomes related to this strategy. Data on this can help the community and public health institutions in understanding and maximizing the benefits of organizing community health clubs for noncommunicable disease control. This study aimed to determine a community health club's membership profile, its organization and maintenance processes, and the benefits, challenges, and enabling factors experienced. This case study-mixed method was done in 2020 on the Challengers Health Club in Alfonso, Cavite. Group interviews of the club officers and barangay health workers were conducted to explore the club processes, their perceived benefits, challenges, and enabling factors. Health records were reviewed to determine the club's membership profile. The community health club showed an increase in membership since it was established. Most members are elderly, female, non-smoker, and hypertensive. There was increase in proportion of members with controlled hypertension after two years. However, this was not observed among those with diabetes. Perceived benefits for members were free, regular, and accessible services, improved knowledge and better control of their condition, and opportunity to socialize with others. Enabling factors were partnership with UP, teamwork and dedication of club leaders, effective management, and community support. The limited funding and supply of medicines, discontinuation of deployment of UP partners, and the COVID-19 pandemic were the challenges identified by the club. This study described the experiences of a community health club established to control hypertension and diabetes. Benefits of this intervention were reported despite the challenges they encountered because of the support mechanisms that were in place.
We conducted focus groups with staff from 5 community-based organizations (21 participants; 86% female, 52% Hispanic/Latino/a/x and 24% Mexican/Mexican American) between August and October 2021. Results highlighted community partner perceptions of practices congruent (e.g., communication that built trust and dismantled power dynamics, a shared mission) and incongruent (e.g., intervention-community misalignment, research driven decision-making) with equitable implementation in the development, implementation, and evaluation of a promotores de salud intervention to increase COVID-19 testing and preventive behaviors among Latinx communities in Oregon. (Am J Public Health. 2024;114(S5):S377-S383. https://doi.org/10.2105/AJPH.2024.307686).
Suicide attempt (SA) repetition is considered one of the main risk factors for completed suicide. In spite of this, there is no previous research on this variable in children. The objective was to determine the factors and profiles associated with reattempted suicide in children aged less than 12 years. Cross-sectional study that included 120 reports (event code INS.356) of SA in children aged less than 12 years between 2018 and 2023 in the SIVIGILA surveillance system of Colombia. We carried out a bivariate logistic regression analysis to generate the best fitting risk factor model and a multiple correspondence analysis (MCA) to establish the possible SA recurrence profiles using the SPSS software, version 26. Of the 120 cases analysed, 43 (35.8%) were reports of reattempted suicide. The best model for predicting risk factors for repeated SA included child maltreatment (OR, 6.22; P < .05), persistent suicidal ideation (PSI) (OR, 30.91; P < .001), a history of violence or sexual abuse (OR, 13.10; P < .05) and the use of sharp objects (OR, 46.45; P < .001). The MCA identified 3 profiles: "first SA" with poisoning as the attempt method and in absence of PSI, violence and abuse; "one previous SA" with the use of sharp objects and presence of PSI ; "two or more previous SAs" with a history of violence or sexual abuse, child maltreatment and hanging as the method. Our findings demonstrate the impact of early life adversity (ELA) on children's mental health, so it is necessary to detect and prevent these types of abuse in order to reduce childhood suicide.
The effect of the health insurance type on the prognosis of heart failure (HF) patients in Colombia and Latin America is poorly known. We aimed to analyze the characteristics of HF patients that participated in the Colombian Heart Failure Registry (RECOLFACA) as stated by their health insurance type and their relationship with the immediate prognosis of these patients. Patients with HF diagnosis were included in the RECOLFACA registry between 2017-2019. The registry was conducted in 60 centers in Colombia. All-cause mortality was the principal outcome. To evaluate the impact of health insurance on mortality, a Cox proportional hazards regression model was used. The Kaplan-Meier analysis was performed to compare survival probabilities according to insurance type. All statistical analyses were two-tailed and were considered significant with a p value < 0.05. Of the 2,528 participants enrolled in the registry, 99% held details about their health insurance. Of those, 897 patients (35.6%) were covered by public insurance. These patients were significantly younger, with a lower proportion of men, more frequently from rural origin, and lower prevalence of most comorbidities (omitting hypertension, chronic obstructive pulmonary disease (COPD), and Chagas disease) than those with private insurance. Furthermore, patients with public insurance had a worse functional class, as well as a poorer quality of life, and lower frequency of use of implantable devices, while exhibiting similar prescription rates of triple medical therapy for HF. Finally, no differences in short-term mortality were observed between the two groups (HR 1.09; 95% CI 0.79, 1.51). The type of health insurance represents a condition related with relevant differences in the profile of patients with HF in Colombia. Despite this, no significant differences were detected in the short-term prognosis of these patients based on the type of health insurance.
Climate-induced stressors, such as changes in temperature, salinity, and pH, contribute to the emergence of infectious diseases. These changes alter geographical constraint, resulting in increased Vibrio spread, exposure, and infection rates, thus facilitating greater Vibrio-human interactions. Multiple efforts have been developed to predict Vibrio exposure and raise awareness of health risks, but most models only use temperature and salinity as prediction factors. This study aimed to better understand the potential effects of temperature and pH on V. vulnificus and V. parahaemolyticus planktonic and biofilm growth. Vibrio strains were grown in triplicate at 25°, 30°, and 37°C in 96 well plates containing Modified Seawater Yeast Extract modified with CaCl2 at pH's ranging from 5 to 9.6. AMiGA software was used to model growth curves using Gaussian process regression. The effects of temperature and pH were evaluated using randomized complete block analysis of variance, and the growth rates of V. parahaemolyticus and V. vulnificus were modeled using the interpolation fit on the MatLab Curve Fitting Toolbox. Different optimal conditions involving temperature and pH were observed for planktonic and biofilm Vibrio growth within- and between-species. This study showed that temperature and pH factors significantly affect Vibrio planktonic growth rates and V. parahaemolyticus biofilm formation. Therefore, pH effects must be added to the Vibrio growth modeling efforts to better predict Vibrio risk in estuarine and coastal zones that can potentially experience the cooccurrence of Vibrio and harmful algal bloom outbreak events.