Highly-selective optical filter for NADH fluorescence detection in multiphoton microscopy.

Colorectal cancer (CRC) is a pressing global health concern, emphasizing the need for early detection tools. In this study an optical filter for precise detection of nicotinamide adenine dinucleotide (NADH) fluorescence via two-photon excitation fluorescence (TPEF) was developed. Fabricated with silicon dioxide and titanium dioxide thin films in a Fabry-Perot structure, the filter achieved a peak transmittance of about 95% at 483 nm, with a 12 nm full-width at half maximum. TPEF measurements using a tailored setup and NADH liquid phantoms underscored the filter's significance in selectively capturing NADH fluorescence while mitigating interference from other fluorophores. This work marks a substantial stride towards integrating multiphoton microscopy into conventional colonoscopy, enabling non-invasive, objective optical biopsy for colorectal tissue analysis. Further refinements of the experimental setup are imperative to advance tissue differentiation and enhance CRC diagnosis.

Peers' Emotionality and Children's Academic Achievement in Second Grade: Testing the Moderating Role of Children's Behavioral Self-Regulation.

Although there is interest in the role of peers in children's schooling experiences, few researchers have examined associations and related underlying processes between peers' emotionality, an aspect of temperament, and children's academic achievement. This study evaluated whether target children's (N = 260) own self-regulation, assessed with two behavioral measures, served a moderating function for associations between peers' emotionality and children's own academic achievement in second grade. There was a positive association between peers' positive emotionality and reading scores for children with higher self-regulation. Peers' negative emotionality was negatively related to target children's reading scores, particularly for children with higher self-regulation levels, but was unrelated to math scores. Peers' positive and negative emotionality did not predict math scores, and there was no strong evidence for the moderating role of target children's self-regulation in this association. This study highlights the potential role of children's self-regulation in modulating peer effects on academic achievement, particularly reading.

A Person-Centered Analysis of Adolescent Multicultural Socialization Niches and Academic Functioning.

Despite the growing cultural diversity worldwide, there is scarce research on how socialization processes prepare youth to respond to increasing multicultural demands and the degree to which these socialization opportunities inform youth academic functioning. This study used a person-centered approach to identify profiles or niches based on the degree and consistency of multicultural socialization experiences across school, peer, and family settings and to examine the associations between identified niches and markers of academic functioning (i.e., emotional and behavioral academic engagement, academic aspirations and expectations) in a sample of adolescents (N = 717; Mage = 13.73 years). Participants (49.9% girls) were from the U.S. Southwest and represented multiple ethno-racial backgrounds (31.8% Hispanic/Latinx, 31.5% Multiethnic, 25.7% White, 7.3% Black or African American, 1.4% Asian American or Pacific Islander, 1.4% American Indian or Alaska Native, and 1% Arab, Middle Eastern, or North African). Six distinct multicultural socialization niches were identified. Three niches had similar patterns across school-peer-family but ranged in the degree of socialization. The cross-setting similar higher socialization niche (Niche 6) demonstrated greater socialization than the cross-setting similar moderate (Niche 5) and lower socialization (Niche 4) niches, which had moderate and lower socialization, respectively. Three niches demonstrated cross-setting dissimilarity which ranged in the type of cross-setting contrast and the degree of socialization. The cross-setting dissimilar school contrast socialization niche (Niche 3) had greater dissimilarities between socialization opportunities in the school setting compared to the peer and family settings and demonstrated the lowest levels of socialization of all niches. The other two niches, the cross-setting dissimilar peer contrast (Niche 1) and greater peer contrast socialization (Niche 2) niches had larger dissimilarities between socialization opportunities in the peer setting than the school and family settings. In the former, however, the contrast was lower, and socialization ranged between very low to low. In the latter, the contrast was higher and socialization ranged from very low to moderate. Most adolescents were in the cross-setting similar lower socialization niche or in the cross-setting dissimilar niches. Adolescents in the cross-setting similar higher multicultural socialization demonstrated greater emotional and behavioral academic engagement than adolescents in most of the other niches. Adolescents in the cross-setting dissimilar school contrast niches demonstrated lower emotional and behavioral academic engagement and lower academic expectations than adolescents in some of the other niches. The results emphasize the collective role of school, peer, and family multicultural socialization on emotional and behavioral academic engagement.

Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective.

This study employs a structured literature analysis considering Industry 4.0 technologies and their adoption stages (intention, adoption, implementation, routinization, continuance, and diffusion). We identify the technology adoption stage for each technology type, which in turn supports a maturity level categorization, as well as future research suggestions and challenging open research questions. By considering an integrated view of all the adoption stages of Industry 4.0 key technologies, we reveal the key technologies and their development stages, as well as a novel maturity level categorization perspective. The proposed categorization brings valuable research insights in the form of guidelines for practitioners and decision-makers interested in gaining a deeper understanding of the maturity level of key Industry 4.0 technologies.

Longitudinal relations between behavioral engagement and academic achievement: The moderating roles of socio-economic status and early achievement.

This study investigated developmental trajectories of observationally coded engagement across the early elementary years and whether these trajectories were associated with children's academic achievement. Furthermore, we evaluated if these relations varied as a function of children's family socio-economic status and early reading and math skills. Data were collected from 301 children who were studied from kindergarten (Mage = 65.74 months; 49% boys) to 2nd grade. Children's behavioral engagement was observed in kindergarten, 1st, and 2nd grade. Reading and math skills were assessed via standardized tests in kindergarten and 2nd grade. Growth mixture models identified two classes of behavioral engagement: most children (87.0%) displayed relatively high behavioral engagement in the fall of kindergarten and decreased significantly across time (referred to below as high-decreasing class), and other children (13.0%) exhibited moderate behavioral engagement in the fall of kindergarten that was stable across time (referred to below as moderate-stable class). After controlling for academic skills in kindergarten and demographic variables (i.e., child age, sex, ethnicity, and family socio-economic status), children in the high-decreasing class displayed higher reading skills, but not math skills, than children in the moderate-stable class. Additional analyses revealed that differences in reading skills between the two classes were present only for children from low socio-economic status families or for children low in kindergarten reading skills. The findings suggest that economically or academically at-risk students might benefit more than their peers from high behavioral engagement.

"A case of vanishing bone disease complicated by chylothorax- diagnosis and treatment".

A 16-year old girl with Gorham-Stout disease is presented. She had progressive replacement of the bones of her left arm and shoulder girdle by fibroadipose tissue and numerous proliferated, non-neoplastic, lymphatic channels. The clinico-pathologic features of this condition are discussed, as are its possible complications and available therapeutic modalities.

Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective.

The COVID-19 pandemic caused significant disruptions to global operations and supply chains. While the huge impact of the pandemic has nurtured important literature over the last couple of years, little is being said about the role of resource orchestration in supporting resilience in highly disruptive contexts. Thus, this study aims to this knowledge gap by proposing an original model to explore supply chain resilience (SCRE) antecedents, considering supply chain alertness (SCAL) as a central point to support resilience. This study focuses on the resource orchestration theory (ROT) to design a conceptual model. The partial least squares structural equation modeling (PLS-SEM) served to validate the model, exploring data from the UK supply chain decision-makers. The study reveals a number of both expected and unexpected findings. These include the evidence that supply chain disruption orientation (SCDO) has a strong positive effect on the SCAL. In addition, SCAL plays a strong positive effect in resource reconfiguration (RREC), supply chain efficiency (SCEF) and SCRE. We further identified a partial mediation effect of RREC on the relationship between SCAL and SCRE. Surprisingly, it appeared that SCAL strongly influences SCEF, while SCEF itself does not create any significant effect on SCRE. For managers and practitioners, the importance of resource orchestration as a decisive approach to adequately respond to huge disruptions is clearly highlighted by our results. Finally, this paper helps to grasp better how important resource orchestration in operations and supply chains remains for appropriate responses to high disruptions such as the COVID-19 impacts.

Effortful Control and Extensive Observations of Negative Emotion as Joint Predictors of Teacher-Student Conflict in Childhood.

Studies with extensive observations of real-life emotions at school are rare but might be especially useful for predicting school-related outcomes. This study evaluated observations of negative emotion expressivity in lunch and recreation settings across kindergarten, first grade, and second grade (N = 301), kindergarten teachers' reports of children's effortful control, and kindergarten and second grade teachers' reports of their perceived conflict with children. In latent growth curve analyses, we tested whether individual trajectories of negative expressivity from kindergarten to second grade, based on estimated slopes, predicted teacher-student conflict in second grade, and whether effortful control in kindergarten moderated this association. RESEARCH FINDINGS: Negative expressivity levels in kindergarten significantly predicted higher levels of teacher-student conflict in second grade, controlling prior teacher-student conflict. Furthermore, greater increases in negative expressivity from kindergarten to second grade were associated with higher teacher-student conflict in second grade especially for children who had difficulties with effortful control in kindergarten. PRACTICE OR POLICY: Results from this study have the potential to inform programs focused on reducing teacher-student conflict. The findings highlight the possibility of targeting both effortful control and negative emotion in the early elementary school transition as a means to improve teacher-student relationships.

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review.

The coronavirus (COVID-19) outbreak shows that pandemics and epidemics can seriously wreak havoc on supply chains (SC) around the globe. Humanitarian logistics literature has extensively studied epidemic impacts; however, there exists a research gap in understanding of pandemic impacts in commercial SCs. To progress in this direction, we present a systematic analysis of the impacts of epidemic outbreaks on SCs guided by a structured literature review that collated a unique set of publications. The literature review findings suggest that influenza was the most visible epidemic outbreak reported, and that optimization of resource allocation and distribution emerged as the most popular topic. The streamlining of the literature helps us to reveal several new research tensions and novel categorizations/classifications. Most centrally, we propose a framework for operations and supply chain management at the times of COVID-19 pandemic spanning six perspectives, i.e., adaptation, digitalization, preparedness, recovery, ripple effect, and sustainability. Utilizing the outcomes of our analysis, we tease out a series of open research questions that would not be observed otherwise. Our study also emphasizes the need and offers directions to advance the literature on the impacts of the epidemic outbreaks on SCs framing a research agenda for scholars and practitioners working on this emerging research stream.

A Framework Based on Blockchain, Artificial Intelligence, and Big Data Analytics to Leverage Supply Chain Resilience considering the COVID-19.

In the global supply chains era, firms are more connected, integrated, and interdependent, bringing along a set of benefits and a number of risks. It is clear that the singular COVID-19 epidemic outbreak has led to unparalleled disruptions and considerable challenges for supply chains (SCs). For example, the sluggish economic environment provoked by the COVID-19 has negatively impacted the flow of goods, generating shortages and interruptions through the SCs. At the global level, many markets are enduring the effects of these disruptions. In this challenging context, the firms and their SCs must apply useful and efficient strategies to minimize and adapt their operations during and after these disruptions. In this view, this study aims to propose a novel framework based on Artificial Intelligence, Blockchain, and Big Data Analytics, to bring useful ideas and contribute to overcoming such disruptions. Besides, we propose novel categorizations that can support new insights for scholars and practitioners about the use of cutting-edge technologies during and after severe disruptions.

Intake, digestibility, ingestive behavior and performance of goats fed spineless cactus genotypes resistant to carmine cochineal / Consumo, digestibilidade, comportamento ingestivo e desempenho de caprinos alimentados com genótipos de palma forrageira resistentes à cochonilha-do-carmim

The objective was to evaluate the intake and digestibility of nutrients, ingestive behavior, and performance of goats fed with spineless cactus genotypes resistant to carmine cochineal (Miúda or Orelha de Elefante Mexicana (OEM). Thirty castrated male goats, without defined breed, aged 12 to 14 months, with an average body weight of 19.0±2.8kg, were distributed in a completely randomized design among three treatments (Control - Tifton hay, Miúda, and OEM) and ten replicates; the initial weight was considered as the covariate. The intake of organic matter (OM), neutral detergent fiber (NDF) was highest in the control treatment, while the intake of NFC was higher in the OEM diet. Treatments containing forage cactus showed the highest digestibility of DM, OM, and NFC. The animals fed the control diet spent more time on rumination and total chewing, but the time spent feeding or feeding efficiency, and performance did not differ. The use of spineless cactus genotypes resistant to carmine cochineal (Miúda and Orelha de Elefante Mexicana) in a diet for goats, in the amount of 450g/kg of DM does not interfere with the performance of the animals and improves the digestibility of OM and NFC.(AU)

Objetivou-se com o presente estudo avaliar o consumo e a digestibilidade de nutrientes, o comportamento ingestivo e o desempenho de caprinos alimentados com genótipos de palma forrageira resistentes à cochonilha-carmim (miúda ou orelha-de-elefante-mexicana (OEM). Trinta cabritos machos, castrados, sem raça definida, com idades entre 12 e 14 meses e peso corporal médio de 19,0±2,8kg, foram distribuídos em delineamento inteiramente ao acaso, em três tratamentos (controle - feno de tifton; miúda e OEM) e 10 repetições; o peso inicial foi considerado a covariável. O consumo de matéria orgânica (MO) e de fibra em detergente neutro (FDN) foi maior no tratamento controle; enquanto a ingestão de CNF foi maior na dieta OEM. Tratamentos contendo palma forrageira apresentaram as maiores digestibilidades de MS, MO e CNF. Os animais alimentados com a dieta controle gastaram mais tempo em ruminação e em mastigação total, mas o tempo gasto com alimentação ou a eficiência alimentar e o desempenho não diferiram. A utilização de genótipos de palma forrageira resistentes à cochonilha-carmim (miúda e orelha-de-elefante-mexicana) na dieta de caprinos, na quantidade de 450g/kg de MS, não interfere no desempenho dos animais e melhora a digestibilidade de MO e CNF.(AU)

Different visitation frequencies of native and non-native bees to vines: how much vegetation is necessary to improve fruit production?

Pollination is provided by biodiversity and maintains global food production. We investigated the effects of vegetation cover on the abundance of floral visitor and vine (Vitis labrusca Raf.) production. We expected an increase in both floral visitor frequencies and vineyard yields with an increase in native vegetation cover in the landscape. We also investigated different scenarios of visitor abundance with and without honeybees (Apis mellifera L.). We surveyed floral visitors from ten vineyard plots with different native cover surrounding them and related both visitors and native vegetation to fruit set. Considering some of these vineyards, we compared physical and chemical traits of berries to understand how they vary according to native vegetation. Floral visitor abundance was positively related to native vegetation cover. However, considering only native bee abundance, we found a dual (hyperbolic) response. Apis mellifera (L.) Africanized was the most abundant species and had the highest number of interactions; however, when removed from the network analysis, the relationship between vineyards and native bees became more specialized. The fruit size and mass of berries differed among vineyards, as did some chemical traits related to commercial quality of fruits, such as soluble solids, pH and flavonoids. Vineyards surrounded by intermediate areas of native vegetation present a balance between resource availability from vineyards and native vegetation. Apis and non-Apis (such as flies and small bees) floral visitors, known to have different effects on vine pollination, could hypothetically provide variation in vine production and quality. Considering a near 20% native vegetation increment, there was an enhancement, on average, of ten-fold more berries per bunch, the changing physical and chemical fruit traits by vegetation increment could also increase the aggregate value of vines and the value of pollination services in the economy.

A structured literature review on the interplay between emerging technologies and COVID-19 - insights and directions to operations fields.

In recent years, emerging technologies have gained popularity and being implemented in different fields. Thus, critical leading-edge technologies such as artificial intelligence and other related technologies (blockchain, simulation, 3d printing, etc.) are transforming the operations and other traditional fields and proving their value in fighting against unprecedented COVID-19 pandemic outbreaks. However, due to this relation's novelty, little is known about the interplay between emerging technologies and COVID-19 and its implications to operations-related fields. In this vein, we mapped the extant literature on this integration by a structured literature review approach and found essential outcomes. In addition to the literature mapping, this paper's main contributions were identifying literature scarcity on this hot topic by operations-related fields; consequently, our paper emphasizes an urgent call to action. Also, we present a novel framework considering the primary emerging technologies and the operations processes concerning this pandemic outbreak. Also, we provided an exciting research agenda and four propositions derived from the framework, which are collated to operations processes angle. Thus, scholars and practitioners have the opportunity to adapt and advance the framework and empirically investigate and validate the propositions for this and other highly disruptive crisis.

Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions.

With the unparallel advance of leading-edge technologies like artificial intelligence (AI), the healthcare systems are transforming and shifting for more digital health. In recent years, scientific productions have reached unprecedented levels. However, a holistic view of how AI is being used for digital health remains scarce. Besides, there is a considerable lack of studies on responsible AI and ethical issues that identify and suggest practitioners' essential insights towards the digital health domain. Therefore, we aim to rely on a bibliometric approach to explore the dynamics of the interplay between AI and digital health approaches, considering the responsible AI and ethical aspects of scientific production over the years. We found four distinct periods in the publication dynamics and the most popular approaches of AI in the healthcare field. Also, we highlighted the main trends and insightful directions for scholars and practitioners. In terms of contributions, this work provides a framework integrating AI technologies approaches and applications while discussing several barriers and benefits of AI-based health. In addition, five insightful propositions emerged as a result of the main findings. Thus, this study's originality is regarding the new framework and the propositions considering responsible AI and ethical issues on digital health.

Bioecological aspects of triatomines and marsupials as wild Trypanosoma cruzi reservoirs in urban, peri-urban and rural areas in the Western Brazilian Amazon.

In the Amazon region, Trypanosoma cruzi transmission cycles involve a great diversity of Triatominae vectors and mammal reservoirs. Some Rhodnius spp. mainly inhabit palm trees that act as microhabitats for hosts and vectors. The current study aimed to describe aspects of the bio-ecology of the vectors and reservoirs of T. cruzi in relation to human populations resident near areas with large quantities of palm trees, in rural, peri-urban and urban collection environments, located in the Western Brazilian Amazon. Rhodnius pictipes and Didelphis marsupialis were respectively the most predominant vector and reservoir, with rates of 71% for R. pictipes and 96.5% for D. marsupialis. The vast majority of T. cruzi isolates clustered with TcI. The most prevalent haplotype was TcI COII1 (69.7%). Mauritia flexuosa and Attalea phalerata were the main ecological indicators of infestation by triatomines. Birds were the most common food source (27,71%). T. cruzi isolated from R. robustus has the haplotype HUM-13, previously detected in a chronic Chagas patient living in the same area. Our results demonstrate the relevance of this study, with the occurrence of elevated infection rates in animals, and suggest the importance of the Amazon zones where there is a risk of infection in humans.

Evaluation of the immunogenicity and protective efficacy of a recombinant CS6-based ETEC vaccine in an Aotus nancymaae CS6 + ETEC challenge model.

Colonization factors or Coli surface antigens (CFs or CS) are important virulence factors of Enterotoxigenic E. coli (ETEC) that mediate intestinal colonization and accordingly are targets of vaccine development efforts. CS6 is a highly prevalent CF associated with symptomatic ETEC infection both in endemic populations and amongst travelers. In this study, we used an Aotus nancymaae non-human primate ETEC challenge model with a CS6 + ETEC strain, B7A, to test the immunogenicity and protective efficacy (PE) of a recombinant CS6-based subunit vaccine. Specifically, we determined the ability of dscCssBA, the donor strand complemented recombinant stabilized fusion of the two subunits of the CS6 fimbriae, CssA and CssB, to elicit protection against CS6 + ETEC mediated diarrhea when given intradermally (ID) with the genetically attenuated double mutant heat-labile enterotoxin LT(R192G/L211A) (dmLT). ID vaccination with dscCssBA + dmLT induced strong serum antibody responses against CS6 and LT. Importantly, vaccination with dscCssBA + dmLT resulted in no observed diarrheal disease (PE = 100%, p = 0.03) following B7A challenge as compared to PBS immunized animals, with an attack rate of 62.5%. These data demonstrate the potential role that CS6 may play in ETEC infection and that recombinant dscCssBA antigen can provide protection against challenge with the homologous CS6 + ETEC strain, B7A, in the Aotus nancymaae diarrheal challenge model. Combined, these data indicate that CS6, and more specifically, a recombinant engineered derivative should be considered for further clinical development.

Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda.

While the potential benefits of integrating digital technologies and supply chain management have been widely reported, less is known concerning the current state-of-the-art literature on big data-driven sustainable supply chains. Therefore, this study aims to systematise published studies which address the implications of big data for sustainable supply chain management. Through a systematic literature review, this work makes three significant contributions: (a) it provides an overview of extant literature on this topic in recent years; (b) it proposes seven gaps in the literature in order to foster future investigations on big data-driven sustainable supply chains; (c) it offers four lessons for business practitioners aiming to use big data for sustainable supply chain practices. These lessons suggest that: developing big data analytics capability has to become a business priority in order to effectively build competitive sustainable supply chains; big data has benefits for each of the dimensions of the triple-bottom-line in supply chains; the implementation of big data for sustainability in supply chains presents some challenges for firms; the development of complementary organizational capabilities is needed to overcome challenges and facilitate the benefits of big data technology for sustainable supply chain management.

Oral delivery of Hyperimmune bovine serum antibodies against CS6-expressing enterotoxigenic Escherichia coli as a prophylactic against diarrhea.

BACKGROUND: . Oral administration of bovine antibodies active against enterotoxigenic Escherichia coli (ETEC) have demonstrated safety and efficacy against diarrhea in human challenge trials. The efficacy of bovine serum immunoglobulins (BSIgG) against recombinant colonization factor CS6 or whole cell ETEC strain B7A was assessed against challenge with the CS6-expressing B7A. METHODS: . This was a randomized, double-blind, placebo-controlled trial in which healthy adults received oral hyperimmune BSIgG anti-CS6, anti-B7A whole cell killed or non-hyperimmune BSIgG (placebo) in a 1:1:1 ratio then challenged with ETEC B7A. Two days pre-challenge, volunteers began a thrice daily, seven day course of immunoprophylaxis. On day 3, subjects received 1 × 1010 CFUs of B7A. Subjects were observed for safety and the primary endpoint of moderate-severe diarrhea (MSD). RESULTS: . A total of 59 volunteers received product and underwent ETEC challenge. The BSIgG products were well-tolerated across all subjects. Upon challenge, 14/20 (70%) placebo recipients developed MSD, compared to 12/19 (63%; p = .74) receiving anti-CS6 BSIgG and 7/20 (35%; p = .06) receiving anti-B7A BSIgG. Immune responses to the ETEC infection were modest across all groups. CONCLUSIONS: . Bovine-derived serum antibodies appear safe and well tolerated. Antibodies derived from cattle immunized with whole cell B7A provided 50% protection against MSD following B7A challenge; however, no protection was observed in subjects receiving serum antibodies targeting CS6. The lack of observed efficacy in this group may be due to low CS6 surface expression on B7A, the high dose challenge inoculum and/or the use of serum derived antibodies versus colostrum-derived antibodies.