Prior Relationship Research Articles

Exploring Fast and Flexible Zero‐Shot Low‐Light Image/Video Enhancement

AbstractLow‐light image/video enhancement is a challenging task when images or video are captured under harsh lighting conditions. Existing methods mostly formulate this task as an image‐to‐image conversion task via supervised or unsupervised learning. However, such conversion methods require an extremely large amount of data for training, whether paired or unpaired. In addition, these methods are restricted to specific training data, making it difficult for the trained model to enhance other types of images or video. In this paper, we explore a novel, fast and flexible, zero‐shot, low‐light image or video enhancement framework. Without relying on prior training or relationships among neighboring frames, we are committed to estimating the illumination of the input image/frame by a well‐designed network. The proposed zero‐shot, low‐light image/video enhancement architecture includes illumination estimation and residual correction modules. The network architecture is very concise and does not require any paired or unpaired data during training, which allows low‐light enhancement to be performed with several simple iterations. Despite its simplicity, we show that the method is fast and generalizes well to diverse lighting conditions. Many experiments on various images and videos qualitatively and quantitatively demonstrate the advantages of our method over state‐of‐the‐art methods.

The impact of diagnosis and treatment of penile cancer on intimacy: a qualitative assessment.

Penile cancer is a rare malignancy (0.5-0.93/100,000 in Western countries) with significant psychosocial and sexual repercussions. This qualitative study explored the impact of penile cancer diagnosis and treatment on intimacy. A convenience sample was identified of 20 potential candidates who were at least 5 months post penile cancer surgery at a hospital centralizing penile cancer care. Participants were recruited by telephone and admitted until data saturation was reached, resulting in a sample of nine men (44-74 years old), none withdrew from participation. All interviews were performed by the same female researcher with no prior relationship to the men. The one-time interviews (35-61 min) followed a semi-structured interview guide, were audio-recorded and transcribed verbatim. Three researchers analysed the data independently using descriptive phenomenological analysis, resulting in a gradually drawn up coding tree mapping out the patient's journey. The central themes that emerged were: (1) Intimate area led to diagnostic delays, intensified diagnosis and induced secrecy; (2) Impact on sexuality prior to surgery; (3) The voyage of sexual re-discovery; (4) A partnered voyage of sexual discovery; (5) Care needs related to intimate area. This study highlights the need for comprehensive and personalized care, including pre-surgical information provision and post-surgical psychosexual support. Addressing the current unmet needs of men with penile cancer requires guidelines for psychosexual interventions and proactive efforts to reduce stigma and to raise awareness.

BIM- and blockchain-enabled Automatic Procurement System (BBAPS) removing relationship bias

In the subcontractor (Sub) procurement process, the General Contractor (GC) can seek potential Subs from a limited pool based on their past relationships. This challenges new subcontractors who are qualified for the project but lack prior relationships with the GC. Furthermore, it creates a relationship bias that impedes the creation of a constructive business environment where potential Subs are encouraged to enhance their quality and compete fairly to secure procurement contracts. To address these challenges, this paper proposes a proof-of-concept of a transformational procurement system that integrates blockchain-enabled smart contracts and Building Information Modeling (BIM)-based project management. The proposed system can facilitate the data-driven automatic matching of GC with Subs, thus extending the pool of Subs and eliminating relationship bias in the procurement proceedings to enhance the effectiveness and fairness of the procurement. It contributes to the body of knowledge by enabling a digitalized and automated subcontractor procurement leveraging blockchain.

Exploring team creativity: The nexus between freshness and experience

Scientific collaborations are widely acknowledged as a key factor in advancing contemporary science. Using the absence of prior collaboration relationships among all team members of a focal paper to assess team freshness, previous studies demonstrated strong associations between team freshness and the ability to generate original and multidisciplinary papers. However, the intricate interplay between team freshness and the experiences of new members remains less explored. For example, individuals can be classified based on their experiences or ages, distinguishing between newcomers with limited experience and incumbents with a track record of publications. Using the existing definition of team freshness, we focus on categorizing fresh teams into two distinct types: those consisting of fresh incumbents and those with fresh newcomers. Utilizing a comprehensive dataset comprising over 5 million articles, we systematically investigate the relationship between team freshness, the freshness of incumbents, and the freshness of newcomers on various creativity measurements. Our analysis yields several key findings. Firstly, both team freshness and the freshness of newcomers display a declining trend over time, whereas the freshness of incumbents remains stable. Secondly, we observe strong positive associations between team freshness, the freshness of incumbents, and the freshness of newcomers with regard to various creativity indicators. Strikingly, we emphasize substantial promotional powers of the freshness of incumbents on creativity, even after adjusting for overall team freshness. Our results have important policy implications related to the formation of creative teams.

Unsupervised discovery of family specific vocal usage in the Mongolian gerbil.

In nature, animal vocalizations can provide crucial information about identity, including kinship and hierarchy. However, lab-based vocal behavior is typically studied during brief interactions between animals with no prior social relationship, and under environmental conditions with limited ethological relevance. Here, we address this gap by establishing long-term acoustic recordings from Mongolian gerbil families, a core social group that uses an array of sonic and ultrasonic vocalizations. Three separate gerbil families were transferred to an enlarged environment and continuous 20-day audio recordings were obtained. Using a variational autoencoder (VAE) to quantify 583,237 vocalizations, we show that gerbils exhibit a more elaborate vocal repertoire than has been previously reported and that vocal repertoire usage differs significantly by family. By performing gaussian mixture model clustering on the VAE latent space, we show that families preferentially use characteristic sets of vocal clusters and that these usage preferences remain stable over weeks. Furthermore, gerbils displayed family-specific transitions between vocal clusters. Since gerbils live naturally as extended families in complex underground burrows that are adjacent to other families, these results suggest the presence of a vocal dialect which could be exploited by animals to represent kinship. These findings position the Mongolian gerbil as a compelling animal model to study the neural basis of vocal communication and demonstrates the potential for using unsupervised machine learning with uninterrupted acoustic recordings to gain insights into naturalistic animal behavior.

Financial statement disaggregation and bank loan pricing

We analyze whether the disaggregation quality (DQ) of a borrower's financial statement is associated with its bank loan pricing. We find that firms with high DQ have low spreads on their bank loans. This result is more pronounced for firms with positive financial prospects, higher risk, and no prior banking relationship with the lenders. Moreover, a high DQ is associated with a low total cost of borrowing, high credit rating, and low spreads on bond issues. Overall, our results show that disaggregated financial statements facilitate bank loan pricing by enabling lenders to make better predictions of their borrowers’ future performance.

DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships.

The subcellular localization of messenger RNA (mRNA) not only helps us to understand the localization regulation of gene expression but also helps to understand the relationship between RNA localization pattern and human disease mechanism, which has profound biological and medical significance. Several predictors have been proposed for predicting the subcellular localization of mRNA. However, there is still considerable room for improvement in their predictive performance, especially regarding multi-label prediction. This study proposes a novel multi-label predictor, DRpred, for mRNA subcellular localization prediction. This predictor first utilizes Bayesian networks to capture the dependencies among labels. Subsequently, it combines these dependencies with features extracted from mRNA sequences using Word2vec, forming the input for the predictor. Finally, it employs a neural network combining BiLSTM and an attention mechanism to capture the internal relationships of the input features for mRNA subcellular localization. The experimental validation on an independent test set demonstrated that DRpred obtained a competitive predictive performance in multi-label prediction and outperformed state-of-the-art predictors in predicting single subcellular localizations, obtaining accuracies of 82.14%, 93.02%, 80.37%, 94.00%, 90.58%, 84.53%, 82.01%, 79.71%, and 85.67% for the chromatin, cytoplasm, cytosol, exosome, membrane, nucleolus, nucleoplasm, nucleus, and ribosome, respectively. It is anticipated to offer profound insights for biological and medical research.

Conceptualising trust and collaboration among stakeholders in MaaS ecosystems

Understanding the factors that facilitate trust and collaboration in Mobility as a Service (MaaS) ecosystems is crucial to the effective delivery of a MaaS scheme given the involvement of both public and private stakeholders. This paper presents the findings of a study investigating the factors that build trust and collaboration among the stakeholders in a MaaS ecosystem and provides insights into the role of regulatory authorities in enabling MaaS developments. The research approach employed the Constructivist Grounded Theory Method (CGTM) using the distinct cases of Whim in Helsinki, Finland and The Sydney MaaS trial in Sydney, Australia. Semi-structured in-depth interviews were conducted with the representatives of key stakeholder organizations in the two MaaS ecosystems. A conceptual framework of trust and collaboration was developed for each case study to illustrate the process of forming and consolidating trust and collaboration in each MaaS ecosystem. The findings suggest that trust acts as the antecedent and catalyst for building collaborative space within a MaaS ecosystem. Possessing a good understanding of partners’ expectations is a prerequisite for collaboration given the inherent conflicts between interests and goals of the public and private sector. The capability of the partners, prior relationships and open negotiations emerged as the key constructs which form trust in a MaaS ecosystem. It was evident that appropriate policies and legislation developed with the consultation of stakeholders are critical in the development of trust and collaboration in the MaaS ecosystem.

Interhospital transfer dynamics for patients with intracranial hemorrhage in Massachusetts.

Intracranial hemorrhages present across a spectrum of clinical phenotypes, with many patients transferred across hospitals to access higher levels of neurocritical care. We sought to characterize patient dispositions following intracranial hemorrhage and examine disparities associated with interhospital transfers. Using the Healthcare Cost and Utilization Project database, we mapped and identified factors influencing the likelihood of patient transfers and receipt of specialist interventional procedures following intracranial hemorrhage. Of 11,660 patients with intracranial hemorrhage, 59.4% had non-traumatic and 87.5% single compartment bleeds. After presentation, about a quarter of patients were transferred to another facility either directly from the ED (23.0%) or after inpatient admission (1.8%). On unadjusted analysis, patients who were white, in the upper income quartiles, with private insurance, or resided in suburban areas were more frequently transferred. After adjusting for patient-and hospital-level variables, younger and non-white patients had higher odds of transfer. Hospital capabilities, residence location, insurance status, and prior therapeutic relationship remained as transfer predictors. Transferred patients had a similar hospital length of stay compared to admitted patients, with 43.1% having no recorded surgical or specialist interventional procedure after transfer. Our analysis reveals opportunities for improvement in risk stratification guiding transfers, as well as structural challenges likely impacting transfer decisions.

Perceived feasibility, acceptability and impact of the family involvement intervention for severe mental illness: a qualitative study in Masaka - Uganda

BackgroundThe burden of severe mental illness is high in low-resource settings like Uganda. But most affected people are not treated due to inadequacy of sectoral funding and trained mental health professionals. Medication has hitherto been the main method of treatment for severe mental illness worldwide. However, there is a growing realization that the use of community-based resource-oriented interventions like the family involvement are more effective and suitable for under-resourced settings. But there is a paucity of information about its applicability in Uganda.MethodsWe based the intervention at the mental health unit of Masaka Regional Referral Hospital, involving 30 patients with SMI, 60 family members and friends, and 6 mental health clinicians. It was delivered through regular monthly meetings of 5 patients, 10 caretakers, and 2 clinicians each, for six months. A purposive sample of 15 patients, 15 caretakers, and 6 clinicians participated in this qualitative evaluation study after 6 months. Data was collected using in-depth interviews. Atlas.Ti (version 7.0.82) computer software was used in data analysis. Both priori and grounded codes were used to code data.ResultsWe evaluated perceived feasibility, acceptability and impact of the intervention in the Ugandan context. The findings were largely positive. Feasibility was mainly driven by: the training of group facilitators, field support and supervision, prior relationship between participants, and scheduling and timing of meetings. Acceptability was supported by: anticipation of knowledge about mental illness, process and content of meetings, safety of meeting environment, and choice of participants and venue. Impact was majorly in domains of: knowledge about mental illness, psychosocial aspects of mental illness, networking and bonding, and patients’ quality of life. The success of the intervention would further be enhanced by its decentralization and homogenized composition of groups.ConclusionsThe intervention promises to spur improvement in the following main aspects of mental health services: accessibility since the meeting environment is more neutral and friendlier than the clinical setup; knowledge of mental illness; recognition of the important role of the family in management of mental illness; adoption of holistic approaches to mental illness; and quality of life of patients.

Independent Commissioners: How Independent?

Companies are managed by directors whose decisions and actions are overseen by a board of commissioners, which includes both commissioners and independent commissioners. An independent commissioner is a party that shares no relationships with the company's directors or the company itself. However, the independence of independent commissioners in performing their duties is questionable. This research examined the independence of independent commissioners using a normative juridical research method based on primary data, secondary data, and other relevant information. The juridical research method focuses on existing realities or implementation in the real world compared to the normative expectations or standards. The results showed that independent commissioners are not entirely independent, particularly in state-owned enterprises where connections with affiliates persist. Additionally, independent commissioners often had direct or indirect relationships with the government, with some being former civil servants or government supporters. Meanwhile, private companies tend to appoint commissioners based on prior personal relationships, such as friendships, rather than familial or business affiliations. Despite these connections, independent commissioners remain crucial for stakeholders interested in the company's governance. This research highlights the complexities surrounding the independence of commissioners and underscores the need for clearer definitions and enforcement of independence in corporate governance.

Capturing relationships between suturing sub-skills to improve automatic suturing assessment

Suturing skill scores have demonstrated strong predictive capabilities for patient functional recovery. The suturing can be broken down into several substep components, including needle repositioning, needle entry angle, etc. Artificial intelligence (AI) systems have been explored to automate suturing skill scoring. Traditional approaches to skill assessment typically focus on evaluating individual sub-skills required for particular substeps in isolation. However, surgical procedures require the integration and coordination of multiple sub-skills to achieve successful outcomes. Significant associations among the technical sub-skill have been established by existing studies. In this paper, we propose a framework for joint skill assessment that takes into account the interconnected nature of sub-skills required in surgery. The prior known relationships among sub-skills are firstly identified. Our proposed AI system is then empowered by the prior known relationships to perform the suturing skill scoring for each sub-skill domain simultaneously. Our approach can effectively improve skill assessment performance through the prior known relationships among sub-skills. Through the proposed approach to joint skill assessment, we aspire to enhance the evaluation of surgical proficiency and ultimately improve patient outcomes in surgery.

Alone together: Post‐traumatic growth during the COVID‐19 pandemic shelter‐in‐place phase

AbstractThe primary objective of this study was to explore posttraumatic growth in adults who lived alone during the shelter‐in‐place (SIP) phase of the pandemic. Semistructured interviews were conducted with nine adults between the ages of 33 and 56 several weeks into SIP. Transcripts were analyzed using thematic analysis. Five themes emerged from participant interviews: connection, prior recent hardship, gratitude, spiritual practice, and relationship with self. By exploring the experiences of those who thrived while living alone during the SIP phase, this study aimed to provide a nuanced understanding of the psychological processes underlying positive adaptation amidst crisis. Our findings highlight the importance of fostering connections, both interpersonal and intrapersonal, as a means of promoting resilience and growth during times of crisis. The themes of gratitude, spiritual practice, and a positive relationship with self underscore the significance of existential and humanistic concepts, such as meaning‐making, self‐reflection, and personal growth.

Knowledge mobilization between the food industry and public health nutrition scientists: findings from a case study

BackgroundImproving the nutritional quality of the food supply increases access to nutritious foods, which improves dietary habits and population health. Yet, knowledge mobilization initiatives between public health nutrition researchers and food industries are often not adequately considered and understood. This study explored what elements related to this specific context need to be recognized so that researchers can better mobilize nutrition science knowledge with the food industry to promote the nutritional improvement of food products.MethodA case study qualitative approach was selected to answer the research question, using semi-structured interviews as the data collection technique. Québec baking industry actors were shown a mock-up of an online mobilization platform sharing the results of the Food Quality Observatory that describes the nutritional quality of breads offered in Québec, Canada. They were asked to think aloud as they explored the web platform and were interviewed. Two coders analyzed the data using an inductive approach and thematic content analysis, starting with individual open coding, and then put forward their analyses and drafted the final themes.ResultsThe final data consisted of 10 semi-structured interviews conducted between October 2019 and August 2020. Four main themes were identified: the industry’s context, the knowledge mobilization initiative, the product-related matters stemming from the information shared and the motivation within the industry. Within each theme, sub-themes were highlighted and related to the industries’ motivation to improve their products’ nutritional quality. This study also specified key considerations for changes to the sodium and fiber content in bread.ConclusionOther steps beyond using simple language and a website format could be taken to better mobilize scientific knowledge with food industries, such as providing more consumer information, using an integrated knowledge mobilization approach that includes a consideration of ethics, working with communication professionals, collaborating with food science experts, and providing resources to act on shared information. Legislation such as the front-of-pack regulations could accelerate the pace of collaboration between researchers and industry. Overall, establishing a prior relationship with industries could help gain a better understanding of the themes highlighted in this study. Future research could build on this case study to provide more insights and solidify these findings.Classification codesPublic Health, Public Private, Policy Making, Research Institutions, Use of Knowledge.

FACTORS INFLUENCING THE INTERACTION OF THIRD-YEAR ENGLISH MAJORS IN SPEAKING CLASSES AT HANOI OPEN UNIVERSITY

This study investigates external and internal factors affecting students’ interaction in English-speaking classes to develop effective strategies to improve their interaction. The study was conducted among sixteen classes at the Faculty of English at Hanoi Open University, with 86 students in total. Questionnaires and interviews were employed as data collection instruments for the study. The results showed that there are still a large number of ‘passive’ students who are not willing to speak and participate in class activities for different reasons, both coming from external and internal ones. These factors mainly include “self-confidence”, “motivation, and interest”, “prior relationships”, “classroom environment,” “lecturers’ teaching styles”, and “technological devices”. Accordingly, different techniques and teaching methods were recommended to promote students’ interaction during speaking lessons, including “pair work,” “asking-answering questions,” “debate sessions or discussion,” and “interactive multimedia learning.” The study results are expected to help both students and lecturers identify influential factors and explore more effective strategies or teaching methods to enhance students’ participation in English-speaking classes.

Jurisdiction of a State Party under Article 2(1) of the ICCPR: A Comment on A.S. and Others v. Italy

Abstract In A.S. and others v. Italy, the question of the jurisdiction of a State party under Article 2(1) of the ICCPR is formulated as “whether the alleged victims could be considered to have been within the power or effective control of the State party”. Per HRC’s earlier views, one form of “within the power or effective control” of a State party may be identified by the impact on the enjoyment of rights caused by a State party’s action. This can be considered as the “functional impact model”. Apparently this is what the HRC applied in this case. But a State party’s inaction cannot cause any impact unless it owes prior positive obligations towards the allegedly impacted person. As the applicable instruments allow considerable discretion to a State party to decide whether to rescue the persons in distress at sea, Italy’s “obligations” to rescue and to cooperate do not necessarily trigger Italy’s positive obligations towards the relevant persons. Taking Italy’s jurisdiction as a consequence of the causal link between the sinking of the vessel and the resulting sufferings (and deaths in some cases) of the persons on the vessel and Italy’s decisions (inaction) is the result of an expansive and improper application of the special approach adopted in other cases. To be non-arbitrary, one may find that affected persons are “within the power or effective control” of a State party: (1) where harm is caused by affirmative acts of a State party, the impact can be deemed as a manifestation that the person impacted is “within the power or effective control” of the State party; or (2) where harm is caused by an omission of a State party, there must be a prior specific legal relationship between the allegedly impacted person and the State party.

People constrain their semantic associations when talking to both friends and strangers.

During conversations, people face a trade-off between establishing understanding and making interesting and unique contributions. How do people balance this when deciding which concepts to reference, and does it matter how well they know their conversation partner? In the present work, participants made stream-of-consciousness word associations either with a partner or alone-simplified versions of dialogue and monologue. Participants made semantically narrower and more predictable word associations with a stranger than alone (Study 1), suggesting that they constrain their associations to establish mutual understanding. Increasing closeness (Study 2) or having a prior relationship (Study 3) did not moderate this effect. Thus, even during a task that does not depend on establishing mutual understanding, people sacrifice being interesting for the sake of being understood. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Maximum open-set entropy optimization via uncertainty measure for universal domain adaptation

Universal Domain Adaptation (UniDA) is a technology that enables the intelligent model to transfer knowledge learned from labeled source domains to related but unlabeled target domains without any prior label set relationship. The key to UniDA lies in rejecting target domain-specific “unknown” samples to achieve domain alignment on shared classes. In this paper, we propose the Maximum Open-set Entropy Optimization via uncertainty measure to adaptively reject “unknown” samples. Specifically, MOEO sets a transition region within the most easily confused class in the open-set space. We optimize the maximum open-set entropy of simple samples outside the transition region to further improve their confidence and separate difficult samples within the transition region by aggregating similar neighbors. Accordingly, a secure boundary is formed between shared samples and “unknown” samples, promoting domain alignment within shared classes. Experiments on four benchmarks show that MOEO outperforms the previous state-of-the-art significantly.

Dissociative Symptoms in Women with Histories of Intimate Partner Victimization: A Focus on Coercive Control

ABSTRACT Identifying and contrasting different patterns of intimate partner violence (IPV) (e.g. situational couple violence, coercive controlling violence) is useful for understanding IPV and its connections with health. Applying this approach to dissociation may be fruitful, given theoretical perspectives that predict a specific connection between coercive controlling violence and dissociative symptoms. To address this, community women with divorce histories (N = 188) completed measures to identify patterns of IPV victimization in prior relationships (no direct violence, situational couple violence, coercive controlling violence), and to quantify recent dissociative symptoms and number of depressed days, for comparison. Contrary to predictions, the predicted odds of recent dissociative symptoms did not differ between women who experienced situational couple violence versus coercive controlling violence. However, the latter group had greater odds of recent dissociative symptoms, but not depressed days, compared to women with no histories of direct violence. Further, a continuous measure of coercive control was uniquely associated with increased odds of dissociative symptoms. This study provides preliminary empirical support for a connection between coercive controlling violence and dissociative symptoms, compared to women without histories of direct violence. This deserves further attention given the strong theoretical rationale for this link, and the importance of dissociation for mental health.

Role of artificial intelligence in customer engagement: a systematic review and future research directions

Role of artificial intelligence in customer engagement: a systematic review and future research directions