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This research introduces behavioral labeling as the use of names or tags that reflect an associated activity, and it proposes that this can induce corresponding behavior. Contrary to the common intuition that descriptions of behaviors emerge as markings for popular actions (i.e., the label is a consequence of the behavior), the authors propose that a description itself might also induce the corresponding action (i.e., the label is an antecedent of the behavior). Building on linguistic relativity theory and based on five studies conducted in the lab and field, the authors show that merely attaching a fictitious name to a behavior can induce that very behavior. The authors also explore a potential explanation for this finding by showing that a behavioral label can evoke mental imagery regarding the associated behavior, which enhances the implementation of the behavior. The results contribute to marketing theory by introducing behavioral labeling and highlighting how language can shape behaviors. Marketers can use behavioral labels to promote their offerings based on the associated behaviors, while public policy makers can use behavioral labels to encourage prosocial and proenvironmental behaviors. [ABSTRACT FROM AUTHOR]

Toddler milk is an ultra-processed beverage consisting primarily of powdered milk, caloric sweeteners, and vegetable oil. Pediatric health authorities do not support the use of toddler milk, and emerging evidence suggests that toddler-milk marketing practices may mislead consumers. However, studies have not synthesized the extent of toddler-milk marketing practices or how these practices affect parents decisions about whether to serve toddler milk. We aimed to summarize the literature about toddler milk to identify what is known about: (1) parents toddler-milk purchasing and feeding behaviors, (2) toddler-milk marketing, and (3) how marketing practices influence parents beliefs and perceptions about toddler milk. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), we systematically searched 8 databases (PubMed, APA PsycINFO, Scopus, Cochrane Central, Embase, CINAHL, Communication & Mass Media Complete, and Business Source Premier). We identified 45 articles about toddler milk. Studies were conducted in 25 countries across 6 continents. Five types of findings emerged: (1) consumption and feeding behaviors, (2) demographic correlates of toddler-milk purchasing and consumption, (3) misperceptions and beliefs, (4) increased sales, and (5) increased marketing and responses to marketing. The included articles suggested that toddler-milk sales are growing rapidly worldwide. Findings also revealed that toddler-milk packages (eg, labels, branding) resemble infant formula packages and that toddler-milk marketing practices may indirectly advertise infant formula. Purchasing, serving, and consumption of toddler milk were higher in Black and Hispanic populations than in non-Hispanic White populations, and parents with higher educational attainment and income were more likely to offer toddler milk to their children. Findings suggest a need for policies to prevent cross-marketing of toddler milk and infant formula, reduce provision of toddler milk to infants and toddlers, and prevent caregivers from being misled about toddler-milk healthfulness.

Despite the recent advancements in dialogue systems, persona-driven chatbots are still in their infancy. Previous studies on persona-driven dialogue generation demonstrated its ability in generating responses that contain more detailed persona information. However, the challenge of maintaining persona consistency and contextual coherence still persists in persona-driven dialogue generation. Moreover, current methods have limitations in processing multi-source inputs and identifying interlocutor intents due to the absence of trustworthy labels and effective modeling. Additionally, numerous approaches rely on pre-trained large-scale language models that require costly computational resources. To address these challenges, a lightweight hierarchical intent-inferring pointer network is proposed for multi-source persona-driven dialogue generation. The proposed method involves detecting interlocutor intents in chitchat and utilizing pseudo labeling and natural language inference techniques to generate intent labels. Our model is evaluated on a benchmark dataset PersonaChat. The experimental results show that our model outperforms the strongest baseline by 13.47% and 4.28% in terms of persona consistency and contextual coherence, respectively. [ABSTRACT FROM AUTHOR]

The 2024 presidential election campaign in Indonesia has produced various unique phenomena, including the emergence of the "Low Human Resources' (SDM Rendah) label directed at the supporters of candidate pair 02 by the supporters of candidate pairs 01 and 03. The existence of this label has become a spotlight because it reflects the dynamics of politics and social interaction within the community. In conducting the netnographic research strategy in this study, the primary focus is on gaining a deep understanding of the underlying reasons for this labeling, as well as how it affects public perception and the overall political dynamics. The social media platform X was selected as the research subject due to its crucial role in facilitating communicative interaction, including the labeling process, especially in the increasingly digitized political context. It is expected that the results of this research can provide deeper insights into the phenomenon of labeling in the political realm on the X social media platform, as well as provide a better understanding for politicians and the public regarding the importance of using social media platforms wisely in the political context. Furthermore, this research also has significant academic implications in the field of communication science, particularly in the theory of ComputerMediated Communication (CMC), which can contribute to a deeper understanding of the role of social media in contemporary politics. The practical implications cannot be overlooked either, especially in the efforts to raise awareness of the power and impact of social media platforms in the political context during the 2024 presidential campaign in Indonesia. [ABSTRACT FROM AUTHOR]

Bio-orthogonal labeling of vesicles conjugated with fluorescent molecular groups, enables in vivo bioimaging to monitor their behavior, thus aiding in diagnostics or revealing the internalization mechanisms of extracellular vesicles (EVs). Orthogonally based magnetic beads, microfluidics, and microarray chips specifically and in a high-throughput manner isolate EVs derived from various cancers for diagnosis of diseases and cancer development. By loading drugs onto the surface of EVs or forming covalent bonds between EVs and cells through bio-orthogonal methods, the therapeutic efficiency of EVs can be enhanced. Bio-orthogonal glycometabolism enables EVs to directly target tumor cells and their derived EVs in vivo , thereby inhibiting tumor metastasis and growth. Extracellular vesicle (EV)-based therapeutics have gained substantial interest in the areas of drug delivery, immunotherapy, and regenerative medicine. However, the clinical translation of EVs has been slowed due to limited yields and functional heterogeneity, as well as inadequate targeting. Engineering EVs to modify their inherent function and endow them with additional functions has the potential to advance the clinical translation of EV applications. Bio-orthogonal click chemistry is an engineering approach that modifies EVs in a controlled, specific, and targeted way without compromising their intrinsic structure. Here, we provide an overview of bio-orthogonal labeling approaches involved in EV engineering. We also present the isolation methods of bio-orthogonally labeled vesicles using magnetic beads, microfluidics, and microarray chip technologies. We highlight the in vivo applications of bio-orthogonal labeling EVs for diagnosis and therapy, especially the exciting potential of bio-orthogonal glycometabolic engineered EVs for targeted therapies. [ABSTRACT FROM AUTHOR]

Research indicates that crime-first language ("criminal") increases stigma, but there is limited evidence comparing person-first language ("person with a conviction") to other non-deviant terminology. Using two survey experiments, we test whether using person-first language in the employment context has a mimicry effect (i.e. people adopt language they are exposed to) and whether language has a stronger influence when paired with positive employment credentials. We do not find consistent evidence of mimicry. Respondents viewing a positive credential were more likely to use person-centered or professional language and positive credentials generally improved perceptions of the applicant. However, person-first language can cancel out beneficial credential effects compared to alternative language. When considering alternatives to crime-first language, two implications emerge: positive information is more consistently influential than the terminology used, and after establishing a person has a criminal record, substituting other identity labels (e.g. person, applicant) can further reduce stigma. [ABSTRACT FROM AUTHOR]

The accurate identification of pills is essential for their safe administration in the medical field. Despite technological advancements, pill classification encounters hurdles such as ambiguous images, pattern similarities, mixed pills, and variations in pill shapes. A significant factor is the inability of 2D imaging to capture a pill's 3D structure efficiently. Additionally, the scarcity of diverse datasets reflecting various pill shapes and colors hampers accurate prediction. Our experimental investigation shows that while color-based classification obtains a 95% accuracy rate, shape-based classification only reaches 66%, underscoring the inherent difficulty distinguishing between pills with similar patterns. In response to these challenges, we propose a novel system integrating Multi Combination Pattern Labeling (MCPL), a new method designed to accurately extract feature points and pill patterns. MCPL extracts feature points invariant to rotation and scale and effectively identifies unique edges, thereby emphasizing pills' contour and structural features. This innovative approach enables the robust extraction of information regarding various shapes, sizes, and complex pill patterns, considering even the 3D structure of the pills. Experimental results show that the proposed method improves the existing recognition performance by about 1.2 times. By improving the accuracy and reliability of pill classification and recognition, MCPL can significantly enhance patient safety and medical efficiency. By overcoming the limitations inherent in existing classification methods, MCPL provides high-accuracy pill classification, even with constrained datasets. It substantially enhances the reliability of pill classification and recognition, contributing to improved patient safety and medical efficiency. [ABSTRACT FROM AUTHOR]

Proof‐of‐concept studies for the bioorthogonally controlled generation of pro‐fluorescent quinone‐methides are presented here. The novel concept relies on a click‐to‐release tetrazine unit that chemically cages a pro‐fluorescent quinone methide precursor. On a synthetically readily accessible model compound we demonstrate that IEDDA reaction of the tetrazine with a TCO leads to the liberation of a pro‐fluorescent quinone methide, which is readily captured by nearby nucleophiles to form a fluorescent scaffold. Unlike in previous approaches to access bioorthogonally activatable fluorogenic probes, where the tetrazine unit acted as a quencher of fluorescence, the role of the tetrazine is redefined here. Such repurposed role of tetrazines is foreseen to address the limitations of tetrazine‐quenched red/NIR excitable fluorogenic probes. [ABSTRACT FROM AUTHOR]

The efficient natural transformation of Neisseria meningitidis allows the rapid construction of bacterial mutants in which the genes of interest are interrupted or replaced by antibiotic-resistance cassettes. However, this proved to be a double-edged sword, i.e., although facilitating the genetic characterization of this important human pathogen, it has limited the development of strategies for constructing markerless mutants without antibiotic-resistance markers. In addition, efficient tools for complementation or labeling are also lacking in N. meningitidis. In this study, we significantly expand the meningococcal genetic toolbox by developing new and efficient tools for the construction of markerless mutants (using a dual counterselection strategy), genetic complementation (using integrative vectors), and cell labeling (using a self-labeling protein tag). This expanded toolbox paves the way for more in-depth genetic characterization of N. meningitidis and might also be useful in other Neisseria species. [ABSTRACT FROM AUTHOR]

The increasing reliance on electric vehicle (EV) charging in buildings requires balancing the load from other building systems to support the new demand. This paper uses a study case in a Near-Zero Energy Building (NZEB) educational facility located in the Brazilian Amazon to verify how much the energy efficiency (EE) measures would improve the existing ratings of the building and supply the expansion of EV demand. A comprehensive building energy load and energy performance analysis were conducted in four steps, following the mandatory Brazilian requirements for EE in public buildings, using measured data, computer modeling, and thermoenergetic analyses using OpenStudio version 1.1.0 and EnergyPlus software version 9.4.0. First, the EE retrofit measures were proposed and evaluated, targeting the air conditioning and lighting systems. Subsequently, an equation was elaborated to indicate the maximum level of energy consumption that could be increased without compromising the building's energy performance and NZEB classification. Finally, Open DSS software version 10.0.0.2 was used to simulate the increased availability of EV charging after the retrofit. With the proposed retrofit, the building improved the EE ratings by three levels, and the percentage of the NZEB rating increased by 33.28%. These measures also increased the EV charging load by 20%, maintaining the maximum EE level and the NZEB classification, although EV maximization reduced self-sufficiency by 9.78% compared to the retrofit-only scenario. [ABSTRACT FROM AUTHOR]

The primary goal of this article is to take advantage of some recent theoretical innovations in syntactic theorizing to propose a novel characterization of some of the basic word-order types isolated by typological research. In the minimalist framework, a necessary condition for a derivation to converge is that the structure it generates should be appropriately labeled. This requirement in particular holds for the major syntactic structures displayed by the various linguistic types. It will be argued that labeling theory, combined with phase theory and the variable syntax of inflectional and discourse features, offers contrasting characterizations of these structures and, as such, provides a window on how exactly SVO, V1 and V2 grammatical systems differ: they differ precisely in the strategy that each type selects in order for neutral declarative root clauses to satisfy the labeling requirement. It will also be shown that the topic and focus structures involving phrasal movement to the periphery, although different parametric choices are made by the various grammatical systems considered here, basically conform to the same requirement. [ABSTRACT FROM AUTHOR]

Recently, social media platforms have introduced several measures to counter misleading information. Among these measures are "state-media labels" which help users identify and evaluate the credibility of state-backed news. YouTube was the first platform to introduce labels that provide information about state-backed news channels. While previous work has examined the efficiency of information labels in controlled lab settings, few studies have examined how state-media labels affect users' perceptions of content from state-backed outlets. This article proposes new methodological and theoretical approaches to investigate the effect of state-media labels on users' engagement with content. Drawing on a content analysis of 8,071 YouTube comments posted before and after the labeling of five state-funded channels (Al Jazeera English [AJE], China Global Television Network, Russia Today [RT], TRT World, and Voice of America [VOA] News), this article analyses the effect that YouTube's labels had on users' engagement with state-backed media content. We found that the labels had no impact on the amount of likes that the videos received before and after the policy introduction, except for RT which received less likes after it was labeled. However, for RT, comments left by users were associated with 30% decrease in the likelihood of observing a critical comment following the policy implementation, and a 70% decrease in likelihood of observing a critical comment about RT as a media source. While other state-funded broadcasters, like AJE and VOA News, received fewer critical comments after YouTube introduced its policy; this relationship was associated with how political the video was, rather than the policy change. Our study contributes to the ongoing discussion on the efficacy of platform governance in relation to state-backed media, showing that audience preferences impact the effectiveness of labels. [ABSTRACT FROM AUTHOR]

The Prescribing Information (PI) in the United States (US) and the Summary of Product Characteristics (SmPC) in the European Union (EU) are approved by the US Food & Drug Administration (FDA), and the European Medicines Agency (EMA), respectively. The inclusion of overdosage information in these documents is a regulatory requirement in both regions. This research evaluates the content of the overdosage section of US and EU labeling. The overdosage sections of labels for drugs approved in the US in three time periods were analyzed: 2000–2001, 2010–2011, and 2020–2021. EU labels for these same products were also reviewed if registered through the Centralized Procedure. Data collection and analyses were performed using a predefined questionnaire, focusing on adherence to regulatory requirements and identifying areas where additional regulatory guidance may be beneficial. The findings indicate that the content of the overdosage sections largely comply with the regulatory requirements of their respective regions. Fewer than half of the labels included information on supratherapeutic doses observed from clinical studies, risk factors for overdose or population specific data associated with overdose. Inconsistencies were noted concerning the incorporation of animal data when human data were available, in addition to the referencing of Poison Centers. The overall utility of non-specific treatment recommendations, in addition to gastric lavage is discussed. While the content of the overdosage section generally aligns with regulatory expectations, additional regulatory guidance could enhance consistency in how this section of labeling is presented and clarify expectations to improve its usefulness for health care professionals (HCPs). [ABSTRACT FROM AUTHOR]

The Portuguese man-of-war (Physalia physalis), though beautiful, poses a risk to the population due to its potential to cause severe burns. Tracking their occurrences can prevent accidents through alerts to the population and predictive simulation models. However, traditional sources do not always provide records of their sightings. On the other hand, previous studies indicate that social media can be an effective source of information for conservation science. This work uses natural language processing and computer vision to obtain machine learning models to classify data extracted from Instagram. Such models can be used as part of an automated Extract-Transform-Load process to build a database on occurrences of Physalia physalis on the Brazilian coast. In preparation for training the models, we collected and manually labeled Instagram posts in order to distinguish the ones about the animal from other subjects, such as ships and tattoos. Given the nature of the problem, the spatial and temporal information associated with the sightings are essential for biologists. Thus, the absence or nonvalidity of such data is often used as a rationale to reject the post. However, the same criteria may not be suitable for training machine learning models to classify new posts automatically. The main goal of this article is to highlight the importance of choosing appropriate labels to train both text and image models, as well as to take into consideration the rejection criteria of the biologist before using a classification model. An experimental study is presented to show the effect of unquestioning adoption of labels given by a specialist, compared to labels adapted for machine learning training. [ABSTRACT FROM AUTHOR]

Machine learning (ML) algorithms were recently adapted for testing integrated circuits and detecting potential design backdoors. Such testing mechanisms mainly rely on the available training dataset and the extracted features of the Trojan circuit. In this letter, we demonstrate that this method is attackable by exploiting a structural problem of classifiers for hardware Trojan (HT) detection in gate-level netlists, called the boundary net (BN) problem. There, an adversary modifies the labels of those BNs, connecting the original logic to the Trojan circuit. We show that the proposed adversarial label-flipping attacks (ALFAs) are potentially highly toxic to the accuracy of supervised ML-based Trojan detection approaches. The experimental results indicate that an adversary needs to flip only 0.09% of all labels to achieve an accuracy drop of over 9%, demonstrating one of the most efficient ALFAs in the HT detection research domain. [ABSTRACT FROM AUTHOR]

A growing literature on sequential framing effects has documented a negativity bias: In many contexts, attitudes change less when framing switches from negative-to-positive (vs. positive-to-negative). However, it is unclear whether this negativity bias sticks to one attitude object or generalizes beyond it. Novel paradigms in two experiments yielded strong evidence for the first possibility and tentative evidence for the second: Switching to a different object (vs. same object) across time points reduced the negativity bias in reframing. In contrast, superficially rebranding an object (just changing its name) did not reduce negativity bias. The experiments also provide the first evidence that positive frames are somewhat sticky: A positive initial frame somewhat attenuated the impact of a negative subsequent frame on attitudes. The findings are consistent with the possibility that once an object is framed negatively or positively, that conceptualization sticks in the mind and resists subsequent reframing—especially for negative frames.

ABSTRACTLabels are influential signals in the marketplace intended to inform and to eliminate buyer confusion. Despite this, food labels continue to be the subject of debate. None more so than non-GMO (genetically modified organisms) labels. This manuscript provides a timeline of the evolution of GMO labels beginning with the early history of the anti-GMO movement to the current National Bioengineered Food Disclosure Standard in the United States. Using media and market intelligence data collected through Buzzsumo™ and Mintel™, public discourse of GMOs is analyzed in relation to sociopolitical events and the number of new food products with anti-GMO labels, respectively. Policy document and publication data is collected with Overton™ to illustrate the policy landscape for the GMO topic and how it has changed over time. Analysis of the collective data illustrates that while social media and policy engagement around the topic of GMOs has diminished over time, the number of new products with a GMO-free designation continues to grow. While discourse peaked at one point, and has since declined, our results suggest that the legacy of an anti-GMO narrative remains firmly embedded in the social psyche, evidenced by the continuing rise of products with GMO-free designation. Campaigns for GMO food labels to satisfy consumers’ right to know were successful and the perceived need for this information now appears to be self-sustaining.

This research aims to study mental health-related derogatory terminologies and self-stigma in the Philippines, where such labels are commonly used in daily conversation. Because disparaging labels are linked to verbal bullying, the study's main output is a self-help booklet to combat bullying. While many studies have examined labeling for mental illness, few have focused on the context, psychological impact, and specific role of these terms in fueling self-stigma for undiagnosed individuals. A self-made survey was administered to 361 senior high school students aged 18 and above, enrolled in the 2023-2024 academic year, who had been at the receiving end of derogatory label/s. Moreover, ten semi-structured interviews were subjected to Colaizzi Analysis. The instruments underwent reliability analysis and subject-matter expert validation. Self-stigma was measured based on the three variables of Link et al.'s Modified Labeling Theory: stereotype agreement, self-concurrence, and self-esteem decrement. The quantitative findings revealed that tanga, bobo, baliw, and sira-ulo were the most frequently used derogatory terms, often used by friends to express positive and negative emotions. Despite low self-stigma across all demographic variables, significant differences were observed in stereotype agreement between gender and school types. A positive correlation was found between three self-stigma variables. The qualitative analysis revealed that labeling was common during childhood and teenage years, and exposure to negative terminologies can contribute to self-stigma. However, the context of words played a crucial role in developing self-stigma. The respondents had social support systems, but they still experienced invalidation. Maladaptive coping mechanisms were prevalent among the respondents. [ABSTRACT FROM AUTHOR]

The growth of electric vehicles (EVs) and their integration into existing and future buildings bring new considerations for energy efficiency (EE) and balance when combined with renewable energy. However, for buildings with an energy efficiency label, such as Near Zero Energy Building (NZEB) or Positive Energy Building (PEB), the introduction of EVs may result in the declassification of the EE label due to the additional energy required for the charging infrastructure. This underscores the increasing relevance of demand-side management techniques to effectively manage and utilize energy consumption and generation in buildings. This paper evaluates the influence of electric vehicle (EV) charging on NZEB/PEB-labeled buildings of the Brazilian Building Labeling Program (PBE Edifica). Utilizing on-site surveys, computational modeling, and thermos-energetic analysis with software tools such as OpenStudio v. 1.1.0 and EnergyPlus v. 9.4.0, an energy classification was conducted in a building in the city of Belem, State of Para, Brazil. Subsequently, power flow simulations employing probabilistic models and Monte Carlo approaches were executed in the OpenDSS software v. 10.0.0.2 to examine the impact of EV integration, both with and without the implementation of demand-side management techniques. Analyses using the labeling methodology demonstrated that the building has EE level C and NZEB self-sufficiency classification. The assessment of the impact of EV integration on the building's total energy consumption in the base (current) scenario was carried out in two scenarios, with (2) and without (1) supply management. Scenario 01 generated a 69.28% increase in energy consumption, reducing the EE level to D and resulting in the loss of the NZEB class. Scenario 02 resulted in a smaller increase in energy consumption of 40.50%, and guaranteed the return of the NZEB class lost in scenario 1, but it was not enough to return the EE level to class C. The results highlight the need for immediate and comprehensive energy management strategies, as the findings show that the two scenarios present a difference of 41.55% in energy consumption. Nonetheless, these strategies are not enough if other consumption restrictions or energy efficiency measures are not applied to other building systems. [ABSTRACT FROM AUTHOR]

Laser food processing has the breath-taking potential to revolutionize the industry in many aspects. Among the different laser configurations, CO2 laser has received special attention due to its relative high efficiency in power generation, its high-power output and its laser beam wavelength, infrared, which is strongly absorbed by water, the main component of food materials. Over the last 50 years, different uses of CO2 laser for processing foods have been proposed so far, including cooking, broiling and browning, selective laser sintering, marking, microperforation for improving downstream mass transfer operations (e.g. infusion, diffusion, marinating, salting, drying, extraction), cutting and peeling, and microbial surface decontamination. The present work is a review of the state of the art of the use of CO2 laser for food processing that covers the main characteristics and mechanisms of this technology, as well as the most important published results regarding its applications in the agri-food sector, highlighting the main challenges to bring out its full potential in the coming years. [ABSTRACT FROM AUTHOR]

Here, we provide an overview of the key factors to consider when using fluorescence nanoscopy (FN), including biological questions that can be addressed and aspects that might improve the reliability and effectiveness of FN experiments. We cover the main aspects related to sample preparation, including the selection of appropriate fixation, affinity-based labels, and fluorescent dyes. We discuss current limitations and possible future developments in the field that would facilitate a broader application of FN. We discuss multiplexing possibilities (allowing the simultaneous detection of multiple targets in a single experiment), live cell imaging for the study of cellular and molecular dynamic processes, and quantitative workflows. Recently, biologists have gained access to several far-field fluorescence nanoscopy (FN) technologies that allow the observation of cellular components with ~20 nm resolution. FN is revolutionizing cell biology by enabling the visualization of previously inaccessible subcellular details. While technological advances in microscopy are critical to the field, optimal sample preparation and labeling are equally important and often overlooked in FN experiments. In this review, we provide an overview of the methodological and experimental factors that must be considered when performing FN. We present key concepts related to the selection of affinity-based labels, dyes, multiplexing, live cell imaging approaches, and quantitative microscopy. Consideration of these factors greatly enhances the effectiveness of FN, making it an exquisite tool for numerous biological applications. [ABSTRACT FROM AUTHOR]

The occurrence of the “structural-loss” defect during single-crystal silicon growth (SCSG) is a significant issue in semiconductor manufacturing. When structural-loss occurs, it signifies a deviation from the desired quality of single-crystal formation, leading to the need to halt the growth process. Currently, there is a lack of scholarly literature addressing the determination of an optimal stopping time to promptly halt the process upon the occurrence of the defect on-line. Our research makes a substantial contribution by addressing this gap in the SCSG process, specifically focusing on orientations <100> and <111>. The study utilizes advanced AI with YOLO-v7 and innovative approaches. These include precise annotation of crystal misorientation features through a comprehensive definition of structural-loss and novel labeling techniques, identification of optimal hyper-parameters through a robust design, and the implementation of effective stopping rule mechanisms. Significant progress has been achieved in decision-making through the implementation of the stoping time shift to terminate the SCSG process within an average of less than 3 minutes for <100> orientations (with a standard error of 0.3 minutes) and less than 5 minutes for <111> orientations (with a standard error of 0.5 minutes). The promising results indicate that the proposed approaches have the capability to substitute manual inspections, opening up possibilities for new perspectives in this particular field. [ABSTRACT FROM AUTHOR]

This study examines school-based crime prevention tactics using a place management framework in conjunction with deterrence and labeling theoretical perspectives. We examine the effects of four different aspects of place management on student offending and explore whether and how the effects are distinctive for female versus male students. We analyze survey data from students and principals across three waves of the Rural Substance abuse and Violence Project using multilevel-binomial models. Findings reveal that several aspects of place management interacted with gender, thus differentially impacting male versus female offending. Overall, this study extends past work in providing evidence of the gendered impact of some crime prevention practices—conditional effects that are consistent with insights from both deterrence and labeling theoretical perspectives. [ABSTRACT FROM AUTHOR]

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Background: National food environment policies can contribute to the reduction of diet-related non-communicable diseases. Yet, their implementation in the Netherlands remains low. It has been hypothesized that the media can play a pivotal role in inducing spikes in policy attention, thereby shaping political action. The aim of this study was to examine the discourse on food policies in Dutch newspaper articles between 2000–2022, by analyzing arguments used by various actors. Methods: A systematic search in Nexis Uni was used to identify newspaper articles that covered national-level Dutch food environment policies published in seven Dutch national newspapers between 2000–2022. Covered policies were classified into six domains including food composition, labeling, promotion, prices, provision and retail and into the four stages of the policy cycle; policy formulation, decision-making, implementation, and evaluation. A grey literature search was used to identify food policies implemented during 2000–2022. Descriptive statistics were used to summarize coverage of policies over time, policy type and policy stage. An interpretive content analysis was performed on a random subsample of the newspaper articles to determine the actors, viewpoints and arguments of the food policies. Results: We identified 896 relevant newspaper articles. The coverage of food policies in newspapers was initially low but peaked in 2018/2021/2022. Through grey literature search we identified 6 food policies which were implemented or adjusted between 2000–2022. The majority of the newspaper articles reported on food pricing policies and were discussed in the policy formulation stage. Academics (mainly supportive) were the most and food industry (mostly opposing) the least cited actors. Supportive arguments highlighted health consequences, health inequalities and collective responsibility, whereas opposing arguments focused on unwanted governmental interference and ineffectiveness of policies. Conclusions: Dutch newspaper articles covering food policies represented a variety of actors and arguments, with individual versus collective responsibility for food choices playing a central role in the arguments. These insights may serve as a basis for further research into why certain arguments are used and their effect on policy attention and implementation. [ABSTRACT FROM AUTHOR]

1,2,4‐triazines are a valuable class of heterodienes that can be employed in inverse electron‐demand Diels–Alder reactions. However, their broader application in bioorthogonal chemistry is limited due to their low reactivity. This article focuses on 3‐(trifluoromethyl)‐1,2,4‐triazines, which can be efficiently prepared in a one‐pot reaction from NH‐1,2,3‐triazoles. These triazines are highly reactive in reactions with strained cyclooctenes, giving second‐order rate constants as high as 230 M−1 s−1. Despite their high reactivity, the compounds remain sufficiently stable under biologically relevant conditions. We show that some of the compounds are fluorogenic, a property of potential use in bioimaging. In addition, we demonstrate the successful application of the triazines in labeling model biomolecules. Our work shows that the reactivity of 1,2,4‐triazines can be enhanced by the 3‐CF3‐substitution, which we consider an important step toward the wider use of this promising class of reagents. [ABSTRACT FROM AUTHOR]

One of the main public health issues that has recently been observed in a greater number of children is being overweight. The cause certainly lies in the decreasing physical activity of children, but mostly in their eating habits. Soft drinks are recognized as the most significant contributor to body overweight due to high sugar content; thus, as a result of numerous campaigns, part of the sugar is replaced by artificial sweeteners (ASs). Despite their advantage due to their low caloric value, WHO recommends that they should not be used to achieve weight control or as prevention for reducing the risk of non-communicable diseases, as there is no evidence of their effectiveness. Apart from beverages, artificial sweetener combinations are also added to a variety of "low fat" and "high protein" food products, which are highly favored especially among the young population. Therefore, it is necessary to take care of the cumulative intake. The conducted study included a survey of 323 parents of children aged 1–14 years, as well as an analysis of the AS content in the products most often consumed by the respondents. The results of the survey show that a large part of children (40%) aged 3–14 often consume soft drinks. Different products (soft drinks, juices/nectars, syrups) were sampled based on the respondents' responses, and an analysis showed that 54% of them contained one or more ASs. In addition, the survey indicated parents' lack of information about the presence of AS in products, as 51% of parents declared that they do not read the declarations of the products they buy. It is necessary to persist in consumer education and changes in dietary preferences and habits, especially among children. [ABSTRACT FROM AUTHOR]

The article revisits the canonical (Dem>Num>A>N) and non-canonical (A>Dem>Num>N & Dem>A>Num>N) prenominal patterns in Mandarin Chinese, from the perspective of the Labeling Algorithm. It shows that the syntactic distribution of adjectives are different, depending on the attributive-predicative sources and the presence or absence of the subordinator - de. The attributive adjective (with or without - de) and the de- less predicative adjective are analyzed as direct modification of the noun phrase, and it derives as a specifier of the noun, then falling into an agreement Agr projection. The non-canonical pattern undergoes AgrP-movement to the nominal left-periphery, which involves focus moving. However, the predicative adjective with - de is associated with a predicate of a reduced relative clause, and it undergoes successive focus-driven movement in the non-canonical pattern. The supporting evidence is illustrated in superlative and exclamatory adjectives as well as the CP-DP splitting hypothesis. The labeling-based explanation provides a specific picture to see the internal structure of adjectives, to look at how to package the informational constituents in the prenominal pattern, and to demonstrate the systematic parallelism between nominal and clausal domains in Mandarin Chinese. Plain language summary: The article revisits two nominal orders in Mandarin Chinese: the canonical (Dem>Num>A>N) and non-canonical (A>Dem>Num>N & Dem>A>Num>N) patterns, from the perspective of the Labeling Algorithm. It shows that the syntactic distribution of adjectives are different, depending on the attributive-predicative sources and the presence or absence of the subordinator -de. The supporting evidence is illustrated in superlative and exclamatory adjectives as well as the CP-DP splitting hypothesis. The labeling-based explanation provides a specific picture to see the internal structure of adjectives, to look at how to package the informational constituents in the prenominal pattern. [ABSTRACT FROM AUTHOR]

Montelukast, a leukotriene receptor antagonist with a high affinity and selectivity for the cysteinyl leukotriene receptor type-1, was radiolabeled with 99mTc using a direct tagging procedure. The processing parameters—amounts of both montelukast and reducing agent, pH of the reaction mixture, reaction temperature, time of reaction, and in vitro stability of the 99mTc-montelukast complex—were thoroughly investigated. The 99mTc-montelukast complex had a percent radiolabeling yield of 92 ± 0.23 and an in vitro stability of 6 hours. According to biological distribution studies, the maximum uptake of 99mTc-montelukast complex for the lungs was 35.89 ± 1.03 % injected activity/gm tissue at 15 minutes following injection and remained high in the lungs for another hour (15.88 ± 0.39%), whereas the washout of mice organs appeared to primarily occur via the urinary tract. Because the 99mTc-montelukast complex is not a blood product, it is safer. To summarize, the 99mTc-montelukast complex is a new radiopharmaceutical that might be utilized for perfusion imaging of the lungs that is both safer and more useful. [ABSTRACT FROM AUTHOR]

Radiolabeled peptides are valuable tools for diagnosis or therapies; they are often radiofluorinated using an indirect approach based on an F-18 prosthetic group. Herein, we are reporting our results on the F-18 radiolabeling of three peptides using two different methods based on click reactions. The first one used the well-known CuAAC reaction, and the second one is based on our recently reported hetero-Diels-Alder (HDA) using a dithioesters (thia-Diels-Alder) reaction. Both methods have been automated, and the 18F-peptides were obtained in similar yields and synthesis time (37-39% decay corrected yields by both methods in 120-140 min). However, to obtain similar yields, the CuAAC needs a large amount of copper along with many additives, while the HDA is a catalyst and metal-free reaction necessitating only an appropriate ratio of water/ethanol. The HDA can therefore be considered as a minimalist method offering easy access to fluorine-18 labeled peptides and making it a valuable additional tool for the indirect and site-specific labeling of peptides or biomolecules. [ABSTRACT FROM AUTHOR]

Let t and q be positive integers that satisfy t+1 2 = q < t+2 2 and let G be a simple and finite graph of size q. G is said to have ascending subgraph decomposition (ASD) if G can be decomposed into t subgraphs H1, H2, . . . ,Ht without isolated vertices such that Hi is isomorphic to a proper subgraph of Hi+1 for 1 = i = t - 1, where {E(H1), . . . ,E(Ht)} is a partition of E(G). A graph that admits an ascending subgraph decomposition is called an ASD graph. In this paper, we introduce a new type of magic labeling based on the notion of ASD. Let G be an ASD graph and f: V (G) E(G) {1, 2, . . . , |V (G)| + |E(G)|} be a bijection. The weight of a subgraph Hi (1 = i = n) is w(Hi) = P vV (Hi) f(v) + P eE(Hi) f(e). If the weight of each ascending subgraph is constant, say w(Hi) = k, 1 = i = t, then f is called an ASD-magic labeling of G and G is called an ASD-magic graph. We present general properties of ASD-magic graphs and characterize certain classes of them. [ABSTRACT FROM AUTHOR]

This study aimed to explore the relationship between experiencing bullying and selfesteem among students at the University of Sargodha. The primary objective was to assess how bullying behavior affects various dimensions of students' self-esteem, including satisfaction with self-image, confidence levels, and self-motivation. Given that self-esteem is a critical predictor of behavior, the research was grounded in the Looking Glass Self-Theory to understand the psychological impact of bullying. A quantitative, descriptive research design was employed, with data collected from 208 students within the Faculty of Social Sciences through a structured online questionnaire. The sample was drawn using multistage and convenient sampling techniques. The findings revealed a significant negative relationship between experiencing bullying and self-esteem, indicating that increased bullying experiences lead to lower self-esteem. Based on these results, it is recommended that anti-bullying interventions be implemented to enhance student well-being and support their self-esteem. [ABSTRACT FROM AUTHOR]

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Copyright of Derecho Penal y Criminologia is the property of Universidad Externado de Colombia, Departamento de Derecho Penal y Criminologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article investigates whether sustainability labels for mutual funds in Europe provide consistent signals regarding funds' sustainable characteristics. Specifically, we assess the alignment of signals conveyed by third-party and self-declared labels. Among the first typology, we consider labels sponsored by government and nonprofit organizations (GNPOs) alongside Environmental, Social, and Governance (ESG) ratings from commercial data vendors. The latter category includes the Sustainable Finance Disclosure Regulation (SFDR) classification and an ESG-related name. Our findings indicate that equity funds with GNPO labels are more likely to exhibit top-tier ESG ratings and alignment with self-declared sustainability signals, namely Article 9 of SFDR and fund names. Furthermore, holding government and multiple GNPO labels is linked to other signals indicating higher sustainability standards. In addition, funds tend to experience an improvement in Morningstar globes after receiving a GNPO label, consistent with GNPO labels signaling funds of the high-quality type. The results regarding label alignment in fixed-income funds are less conclusive. Our findings underscore the need for credible signals in view of the growing number of sustainability labels available to investors. [ABSTRACT FROM AUTHOR]

Small‐molecule reactions at the 2′‐OH groups of RNA enable useful applications for transcriptome technology and biology. To date, all reactions have involved carbonyl acylation and mechanistically related sulfonylation, limiting the types of modifications and properties that can be achieved. Here we report that electron‐deficient heteroaryl species selectively react with 2′‐OH groups of RNA in water via SNAr chemistry. In particular, trialkyl‐ammonium (TAA)‐activated aromatic heterocycles, prepared in one step from aryl chloride precursors, give high conversions to aryl ether adducts with RNAs in aqueous buffer in ~2–3 h. Remarkably, a TAA triazine previously used only for reaction with carboxylic acids, shows unprecedented selectivity for RNA over water, reacting rapidly with 2′‐OH groups while exhibiting a half‐life in water of >10 days. We further show that a triazine aryl species can be used as a probe at trace‐level yields to map RNA structure in vitro. Finally, we prepare a number of functionalized trialkylammonium triazine reagents and show that they can be used to covalently label RNA efficiently for use in vitro and in living cells. This direct arylation chemistry offers a simple and distinct structural scaffold for post‐synthetic RNA modification, with potential utility in multiple applications in transcriptome research. [ABSTRACT FROM AUTHOR]

We consider an abstract concept of perimeter measure space as a very general framework in which one can properly consider two of the most well-studied variational models in image processing: the Rudin–Osher–Fatemi model for image denoising (ROF) and the Mumford–Shah model for image segmentation (MS). We show the linkage between the ROF model and the two phases piecewise constant case of MS in perimeter measure spaces. We show applications of our results to nonlocal image segmentation, via discrete weighted graphs, and to multiclass classification on high dimensional spaces. [ABSTRACT FROM AUTHOR]

This paper employs a 4 × 2 × 3 research design with four different antecedents of meat alternative consumption (red meat consumption, consumers' health consciousness, environmental awareness, animal welfare), two types of meat alternatives (plant-based vs. vegetarian), and three consumer behavioral outcomes (purchase intention, willingness to substitute, and willingness to pay). Our study of 425 participants shows that all four antecedents affect consumers' meat alternative perceptions. Red meat consumption has a negative effect, while health consciousness, environmental awareness, and animal welfare have a positive relationship, increasing meat alternative purchase intention, willingness to substitute, and willingness to pay. Interestingly, plant-based alternatives had higher purchase intention, willingness to substitute, and willingness to pay relative to vegetarian alternatives. Our results estimate that plant-based alternatives are substituted for up to 50% of red meat consumption, compared to 35% for vegetarian alternatives. Also noteworthy, plant-based meat alternatives have a 10% higher willingness to pay versus vegetarian alternatives. [ABSTRACT FROM AUTHOR]

Labeling of gifted pupils can negatively affect the life path of gifted individuals. The study explores whether and how a teacher can label gifted pupils when applying educational strategies based on internal differentiation. We focused on formally identified intellectually gifted pupils (age 7–12) educated in (mainstream) elementary schools in the Czech Republic (Central Europe). Qualitative data were collected through classroom observations and teacher interviews. We observed 24 gifted pupils and 15 teachers from 12 schools. We identified five main types of educational strategies leading to inappropriate labeling, such as Tasks for Quick‐witted, Challenges, Boffins Goes to Competition, Teacher's Assistant, and Individual Projects. The "inappropriateness" of these strategies consisted of the significant preference and presentation of gifted pupils, in the useless and overused selection of gifted pupils, and the rigidity of the applied strategies. The paper seeks to highlight the existence of a paradoxical phenomenon whereby, when teachers are maximally interested in promoting giftedness, the stagnation of gifted pupils and other pupils in the class occurs. The study concludes with recommendations for eliminating inappropriate labeling of gifted pupils. [ABSTRACT FROM AUTHOR]

3D point cloud applications have become increasingly prevalent in diverse domains, showcasing their efficacy in various software systems. However, testing such applications presents unique challenges due to the high-dimensional nature of 3D point cloud data and the vast number of possible test cases. Test input prioritization has emerged as a promising approach to enhance testing efficiency by prioritizing potentially misclassified test cases during the early stages of the testing process. Consequently, this enables the early labeling of critical inputs, leading to a reduction in the overall labeling cost. However, applying existing prioritization methods to 3D point cloud data is constrained by several factors: (1) inadequate consideration of crucial spatial information, and (2) susceptibility to noises inherent in 3D point cloud data. In this article, we propose PCPrior, the first test prioritization approach specifically designed for 3D point cloud test cases. The fundamental concept behind PCPrior is that test inputs closer to the decision boundary of the model are more likely to be predicted incorrectly. To capture the spatial relationship between a point cloud test and the decision boundary, we propose transforming each test (a point cloud) into a low-dimensional feature vector, toward indirectly revealing the underlying proximity between a test and the decision boundary. To achieve this, we carefully design a group of feature generation strategies, and for each test input, we generate four distinct types of features, namely spatial features, mutation features, prediction features, and uncertainty features. Through a concatenation of the four feature types, PCPrior assembles a final feature vector for each test. Subsequently, a ranking model is employed to estimate the probability of misclassification for each test based on its feature vector. Finally, PCPrior ranks all tests based on their misclassification probabilities. We conducted an extensive study based on 165 subjects to evaluate the performance of PCPrior, encompassing both natural and noisy datasets. The results demonstrate that PCPrior outperforms all of the compared test prioritization approaches, with an average improvement of 10.99% to 66.94% on natural datasets and 16.62% to 53% on noisy datasets. [ABSTRACT FROM AUTHOR]

Purpose: This study sought to understand which food allergen labeling systems (non-directive, semi-directive, and directive) were attended to and preferred by 34 participants with food hypersensitivity and their perceived corporate social responsibility (CSR) and behavioral intention towards a restaurant that identifies food allergens on menus. Design/methodology/approach: This study used an online survey with open-ended and ranking questions, combined with eye-tracking technology, to explore participants' visual attention and design preferences regarding four menus. This study utilized one-way repeated measures analysis of variance (RM-ANOVA) and heat maps to analyze participants' menu-reading behaviors. A content analysis of survey responses and a ranking analysis of menus were conducted to understand the reasons behind consumers' preferred menu designs. Findings: The advisory statement was not much attended to. Participants identified food allergen information significantly quicker with the directive labeling system (icons) than the other two systems, implying they were eye-catching. Semi-directive labeling system (red text) has lower visit count and was more preferred than two other systems; each labeling system has its strengths and limitations. Participants viewed restaurants that disclosed food allergen information on menus as socially responsible, and they would revisit those restaurants in the future. Originality/value: This study was one of the first to explore, through use of eye-tracking technology, which food allergen labeling systems were attended to by consumers with food hypersensitivity. The use of triangulation methods strengthened the credibility of the results. The study provided empirical data to restauranteurs in the US on the values of food allergen identification on restaurant menus, although it is voluntary. [ABSTRACT FROM AUTHOR]

This article discusses how labeling as a transframing device alters an audience's experience of a political conflict. Drawing on socio-narrative theory to translation, 150 Arabic original posts from the official Palestinian Authority (PA) Facebook page and their English translations by the Israeli watchdog group Palestinian Media Watch (PMW) are analyzed. The results reveal that PMW's labeling system both rejects and corrects Palestinian "inaccurate narratives," emphasizing Israel's territorial sovereignty and its narrative of victimization and of its historical and religious right to exist. More importantly, it produces a hybrid/double-voiced narrative that aims at "exposing" Palestinian "radical voices" and influencing how the world perceives and responds to them (e.g., by condemning or cutting off funding to PA). In this hybrid narrative, the Palestinian voice is often depicted as violent, deviant, and false, while the Israeli as victimized, normal, and right. The combination of voices may sacrifice textual elements like comprehensibility, readability, and fluency, but it seems that PMW prioritizes political legitimacy and security over any translation or reading measures. [ABSTRACT FROM AUTHOR]

A recent generalization about ‘optional’ wh-in-situ states that wh-in-situ questions are blocked in selected contexts, where the only grammatical option is wh-fronting. In this squib, I show that the generalization is misplaced: Wh-in-situ is not actually blocked in selected contexts, it is simply not visible to selection as a wh-construction. To this end, I provide empirical evidence from Greek wh-in-situ questions, concentrating on issues revolving around selection, movement and the discourse. The analysis proposed treats wh-in-situ as a construction in its own right, being open to labeling possibilities that its wh-fronting counterpart cannot have.