Current Paper Research Articles

Nonodontogenic Causes of Toothache: A Case Series and Narrative Review

Abstract Chronic orofacial pain is a complex and frequently misdiagnosed condition that significantly impacts individuals’ well-being. Accurately diagnosing orofacial pain can be challenging due to the overlap between headaches and orofacial regions. Patients who complain of tooth pain may actually be experiencing pain unrelated to dental issues. It is crucial for clinicians to accurately pinpoint the source and location of the pain to devise effective treatment plans. Nonodontogenic facial pain can stem from various causes such as musculoskeletal, neuropathic, or neurovascular issues. In addition, toothaches can result from conditions originating from other areas like systemic disorders related to the heart, nose, throat, or sinuses. Referred pain phenomena are acknowledged in the literature but are poorly understood, presenting significant treatment challenges. This is worrisome because such patients are more prone to developing chronic pain conditions, and invasive treatments may exacerbate their suffering and overall health. In the current review paper, three cases are detailed: one of myofascial pain, the second of trigeminal neuralgia, and the third of posttraumatic trigeminal neuropathy. In all three cases, dentists were the initial point of consultation as the pain was perceived in the teeth, resulting in unnecessary dental interventions. There remains a lack of knowledge regarding nonodontogenic toothache among clinicians. Increasing awareness of nonodontogenic toothache can help avoid unnecessary interventions and improve overall pain relief for patients.

Social ecological predictors and correlates of Latinos' IPV behaviors: A systematic review and critique of the research literature.

The current paper utilizes an ecological level of analysis framework to review and critique the literature surrounding predictors, correlates, and antecedents of Latinos' intimate partner violence (IPV) behaviors. More specifically, the ecological levels of analysis framework was employed to demonstrate how Latino males' IPV perpetration is being understood and studied. A total of n = 34 peer-reviewed articles were reviewed and critiqued. Findings indicated that most IPV research is being conducted at and comprehended from the individual (n = 33; 97%) and microsystem/small group (n = 24; 71%) levels of analysis, while linkages to organizational, locality, and institutional levels of analysis are largely neglected. Researchers and interventionists appear to view Latinos' IPV behaviors through deficit models, employ decontextualized and homogenized representations of the population, and neglect higher ecological levels of analysis. These three shortcomings in IPV research as it pertains to Latino populations must be addressed in future research studies if investigators desire to end the stigmatization and demonization of Latinos as a cultural and people group, and to maximize battering intervention effectiveness and efficiency for men of Latino origin.

Interaction of reinforcement, process, and form in Digital Fabrication with Concrete

Material, manufacturing process, and form are mutually dependent. In formwork-based concrete construction, the reinforcement must be positioned and fixed in the formwork, limiting material efficiency and freedom of form. In Digital Fabrication with Concrete (DFC), the formwork no longer limits the concrete forming process. Furthermore, the reinforcement no longer must be installed in advance, but can be placed before, during or after the concrete application. Therefore, the role of reinforcement and its interaction with processing must be fundamentally rethought in DFC. Furthermore, with reinforcement integration a concrete component expands from a contour-based shape into a structural form.The current paper proposes a new so-called RPF-framework expressing the interaction of reinforcement, process and form in DFC. The application of this framework is illustrated using current examples of DFC, whose structural forms are critically discussed. Finally, the need for a holistic approach to material, process and form in DFC is emphasised.

The significance of P.V. Simonov’s “need-information theory of emotions” in the development of modern neurobiology of behavior

The current paper shows the importance of the need-information theory of P.V. Simonov in the development of modern neurobiology of behavior. The essence of the theory and the underlying fundamental principles of the organization of behavior-environmental uncertainty, probabilistic predictions of reinforcement are briefly described. The first section reviews the current data on the important role of uncertain environments and probabilistic predictions in organization of behavior. Attention is drawn to the reinforcement prediction error and its significance in the organization of both social and individual behavior, as well as its role in the consolidation and reconsolidation of memory. The second section shows the influence of need-information theory on the development of the theoretical and experimental basis of individual differences, with a scheme presented for explaining such differences based on the fundamental principles of theory. The next section examines the role of need-information theory in understanding the mechanisms of decision-making under risk conditions, and the importance of the theory as a conceptual basis for the new developing field of science – neuroeconomics. And finally, the 4th section considers in detail the model of emotional resonance (contagion) proposed by P. Simonov, and modern views on social behavior, in general, and the altruistic and selfish behavior of rodents, in particular.

AI and Machine Learning in International Diplomacy and Conflict Resolution

The role of incorporating Artificial Intelligence (AI) and Machine Learning (ML) in International Diplomacy and conflict resolution has the ability to revolutionize the current processes. The current paper aims at reviewing the future responsibilities of these technologies in improving diplomacy and forecasting wars. Thus, scrutinizing selected successful cases of AI use in diplomacy, and the possibilities of ML in conflict areas. The paper also covers the ethical issues and the possible developments of Artificial Intelligence in the sphere of diplomacy of various states. The conclusions stress the essential role of AI and ML in creating a more favorable external environment in order to reduce conflicts.

Father Engagement in Home Visiting: Findings From a Continuous Quality Improvement Learning Collaborative.

The present study describes the efforts of a home visiting (HV) continuous quality improvement learning collaborative aimed at increasing father engagement in HV and parenting. Local implementing agencies (n=11) delivering 3 evidence-based HV models participated in the collaborative. Each agency developed and implemented 3 rapid-cycle Plan-Do-Study-Act (PDSA) projects to increase father engagement. Specific, Measurable, Achievable, Realistic, Time-bound (SMART) aims were used to guide development of change strategies and meaningful measurement goals. HV providers collected data from enrolled families (n=714) about fathers' level of parenting and HV involvement. Mean father engagement scores increased 39% from the first to the second assessment and over 60% of the PDSAs met or exceeded their SMART aim goal. Data suggest that fathers are open to participating in HV and are responsive to parenting guidance. In the current paper, we share engagement strategies and lessons learned during the collaborative.

Characterizing medical decision-making in sickle cell disease during childhood: Qualitative perspectives of caregivers.

Sickle cell disease (SCD) is the most common genetic disorder among children. As the most common type of SCD, sickle cell anemia (SCA) is associated with severe complications across the lifespan. As parents/caregivers hold primary disease management responsibility during childhood, their involvement in disease management activities, including medical decision-making, is critical to successful and timely management of pediatric SCD. However, the processes through which caregivers make SCD-related decisions remain unknown. The current paper examined caregivers' decision-making processes and priorities when managing their child's SCD. Parents and primary caregivers (N=27) of children with SCA (ages 0-12) completed individual semi-structured qualitative interviews exploring links between caregivers' decision-making and both daily and ongoing SCA management practices. Data were transcribed verbatim, cleaned, systematically coded, and analyzed using applied thematic analysis. Participating caregivers were primarily Black or African American (88.9%), mothers (81.5%), publicly insured (55.6%), and single (51.9%). Caregivers described medical decision-making across acute symptom response, preventive disease management, and treatment initiation and/or discontinuation. Across these contexts of disease management, caregivers overarchingly prioritized protecting and improving their child's quality of life. Caregivers' medical decision-making processes were influenced by their SCA management experience, acquisition of SCA knowledge, and trust in medical providers. The extent to which these influences impacted caregivers' decision-making varied based on disease severity, disease management experience, and time since diagnosis. Findings highlight how processes underlying caregivers' decision-making are directly influenced and informed by caregivers' lived experiences. Future work should develop provider-initiated collaborative interventions to support medical decision-making.

Maintaining and Improving Virtual Call Centers for Public Health: The CUNY Recovery Corps Experience.

In the early stages of the COVID-19 pandemic in New York City, individuals who tested positive, exposed contacts, and their families faced significant challenges in accessing essential resources for successful quarantine and isolation. These resources included alternative housing, food access, grocery delivery, missed wage assistance, transportation for household members, medical care, and more. The City University of New York (CUNY) Recovery Corps emerged as an innovative virtual resource navigation service to connect New Yorkers to essential resources and later to vaccinations, treatment, and services for Long COVID. The program prioritized reaching people living in underserved and under-resourced neighborhoods. Over 3years, it made a substantial impact, reaching 374728 New Yorkers and connecting 135147 to crucial resources. Implementing a successful virtual navigation center amidst a global pandemic posed unique challenges. It required well-established systems to provide services, manage staff, build community, and both assure and improve service quality. Continuous quality assurance and process improvement efforts resulted in a nearly 10-point increase in successful client-resource connections program-wide, with individual navigators showing improvements of up to 20%. Staff-led initiatives, such as population-specific resource guides and incentive awards, boosted morale and cohesion. Providing continuous professional development opportunities and requested training including trauma-informed care, self-care, and strategies for managing grief contributed to staff retention and improved client interactions. The CUNY Recovery Corps provides a blueprint for setting up navigation services for emergency response and supporting health and social services. The current paper delves into the intensive quality improvement efforts, program management infrastructure, and staff support that made this program a success. By applying these lessons on establishing and maintaining a virtual call center prioritizing the client's well-being and staff strengths, policymakers and social service leaders can effectively address various health and social service needs proactively rather than rebuilding after each disaster.

The implications of the EU cohesion policy instruments and cross-border cooperation projects on social entrepreneurship in Euroregions

The current paper investigates the implications of the EU Cohesion Policy instrument Interreg through the implementation of cross-border cooperation projects on social entrepreneurship. Cross-border cooperation projects are implemented in Euroregions and invest in new knowledge and innovative solutions in policy priorities spread over social, environmental, and economic domains. Policy priorities in social and environmental domains overlap fields of play where social entrepreneurs operate. We build on the Knowledge Spillover Theory of Entrepreneurship and use a quantitative design to investigate the influence of EU-funded cross-border cooperation projects on the number of social enterprises in Luxembourg. We employed a rolling window analysis with ARIMA on a sample of 207 cross-border cooperation projects implemented between 2000 and 2020. We predicted social entrepreneurial activity in Euroregions in Luxembourg using investments through the EU Cohesion Policy in the social, environmental, and economic domains and identified a positive relationship in the social domain. The current study shows that investments in the social domain positively and significantly predict social entrepreneurial activity, supporting the critical role of the EU Cohesion Policy on social entrepreneurship. Our study discusses how social entrepreneurship can benefit from EU cross-border cooperation projects as recipients of potential knowledge spillovers.

Exploring online advocacy mechanisms through self-presentation: a comparative analysis between e-commerce website customers

PurposeUnderpinning social identity theory (SIT) and service-dominant logic (SDL), the current paper seeks to explore the effect of self-presentation on online brand advocacy (OBA). Furthermore, this paper investigates the mediating role of hedonic value and the moderating role of customer interaction with e-commerce websites (i.e. Amazon, Walmart and eBay).Design/methodology/approachData were collected from customers of three e-commerce platforms (i.e. Walmart, Amazon and eBay) using a structured questionnaire – multi-group analysis applied on SmartPLS 4.4.FindingsSelf-presentation has a positive role in increasing hedonic value and its impact on OBA. The moderating effect of customer interaction on these relationships is also investigated and found to be significant.Social implicationsOur findings underscore the significance of fostering inclusive online communities and favorable online settings. Existing findings are consistent with overarching objectives of digital empowerment and enhanced online interaction quality. This paper contributes to harmonious and collaborative digital societies by encouraging personalized experiences that foster a sense of belonging among diverse customers.Originality/valueThis paper adds to the existing body of knowledge by comparing customer behavior on three major e-commerce platforms, going beyond the traditional focus on a single platform. Drawing on SIT and SDL, this paper provides a distinct nomological framework for OBA that unifies disparate constructs, filling theoretical gaps in our understanding of online customer behavior.

Three-Dimensional Moran Walk with Resets

In this current paper, we propose to study a three-dimensional Moran model (Xn(1),Xn(2),Xn(3)), where each random walk (Xn(i))∈{1,2,3} increases by one unit or is reset to zero at each unit of time. We analyze the joint law of its final altitude Xn=max(Xn(1),Xn(2),Xn(3)) via the moment generating tools. Furthermore, we show that the limit distribution of each random walk follows a shifted geometric distribution with parameter 1−qi, and we analyze the maximum of these three walks, also giving explicit expressions for the mean and variance.

On the enhancement of acceptable blockage of open jet wind tunnel by employing modifications based on concepts of boundary layer and jet flow for testing of aero-rotors

The conventional closed and open jet tunnels suffer from various adverse blockage effects that alter the flow conditions generating erroneous results when larger than allowable blockage models are tested. The maximum acceptable blockage is limited to 25 % for an open jet tunnel. The physics behind the inferior blockage capacity and their redressal is investigated. Hitherto, numerical models are developed to rectify the blockage troubles that introduce an additional complex case-based mathematical modeling to reckoning the results. In the current paper novel approach to redesigning the tunnel to solve blockage troubles is investigated that facilitates evading of mathematical techniques and securing accurate results straightforwardly. A hypothetical design incorporating the remedies is proposed, capable of conditioning the flow in a manner that debilitates the adverse effects of solid blockage, wake blockage, jet expansion, etc. The hypothesis is theoretically expounded by the boundary layer and jet flow phenomenon. The modified blower-type open jet wind tunnel constitutes a centrifugal blower, long inlet duct, plenum chamber around the test section, and collector. The modified wind tunnel is tested through experiments executed on four different-sized Savonius rotors creating 10 %, 30 %, 50 %, and 60 % blockage. The static pressure along the contours of the blades of rotors is obtained. The experimental results are juxtaposed with CFD results carried out at free-wind boundary conditions and standard classic experimental results performed in conventional wind tunnel at 11 % blockage. A blockage enhancement of 25 % is achieved by the approach of modification in the design of a conventional open jet wind tunnel.

Building custom NLP tools to annotate discourse-functional features for second language writing research: A tutorial

The current tutorial paper describes a process of developing a custom natural language processing model with a particular focus on a discourse annotation task. After an overview of recent developments in natural language processing (NLP), the paper discusses the development of the Engagement Analyzer (Eguchi & Kyle, 2023), focusing on corpus annotation, the machine learning model, model training, evaluation, and dissemination. A step-by-step tutorial of this process via the spaCy Python package is provided. The paper highlights the feasibility of developing custom NLP tools to enhance the scalability and replicability of the annotation of context-sensitive linguistic features in L2 writing research.

Noninstrumental Dysphagia Assessment and Screening: A Proposed Checklist.

In the field of dysphagia research, there is a need to establish a framework for the critical appraisal of methodological reporting. A working group was formed to develop a tool to aid in such critical appraisal across various domains of dysphagia research (called the FRONTIERS [Framework for RigOr aNd Transparency In REseaRch on Swallowing] Framework). The goal of the current paper is to present and describe one domain of this tool: noninstrumental assessment and screening tools. Methods describing the development of the FRONTIERS Framework and the associated tool are detailed in the prologue of this series. A set of questions specific to the critical appraisal of transparency and rigor of research involving noninstrumental screening and assessment tools was developed. This included 13 "yes/no" questions, each of which is presented with a rationale for its inclusion and an example of its implementation. The use of this framework will serve researchers and those appraising the quality of research that uses noninstrumental dysphagia assessment and screening tools. More broadly, the FRONTIERS Framework will facilitate improved rigor and transparency across dysphagia research. Special considerations and future goals are discussed.

Enhanced optoelectronic and thermoelectric properties of half Heusler compounds KXSb (X = Be, Mg, Ca and Sr): A first principle study

In the present paper, structural, electronic, elastic, thermodynamic, optical, and thermoelectric properties of h-H alloys KXSb (X = Be, Mg, Ca, and Sr) are investigated for the first time. These properties were explored using quantum mechanical model – the density functional theory (DFT) with both GGA-PBE and TB-mBJ exchange-correlation functional. The Boltzmann transport equations and the Full Potential Linearized Augmented Plane wave (FP-LAPW) approach, as built into the WIEN2k code, are used to investigate these properties. The band structures and density of states (DOS) are also studied. The half-Heusler compounds show semiconductor properties with both the GGA and mBJ methods, while the KBeSb alloy exhibits metallic nature under the GGA-PBE approach. The elastic and thermo dynamical properties were also investigated, and the results revealed that the compounds are mechanically and thermally stable. The observed high Debye temperature (ϴD) implies that the alloy is harder and possesses a significant Debye sound velocity. The current paper highlights the optical and thermoelectric applications of the alloys. At 900 K, KCaSb exhibits maximum power factors of 8.83 × 1011 (W/mK2s) with the GGA-PBE method and 8.19 × 1011 (W/mK2s) with the TB-mBJ approach.

The development and structure of the HEALthy Brain and Child Development (HBCD) Study EEG protocol

The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Electroencephalography (EEG) is one of two brain imaging modalities central to the HBCD Study. EEG records electrical signals from the scalp that reflect electrical brain activity. In addition, the EEG signal can be synchronized to the presentation of discrete stimuli (auditory or visual) to measure specific cognitive processes with excellent temporal precision (e.g., event-related potentials; ERPs). EEG is particularly helpful for the HBCD Study as it can be used with awake, alert infants, and can be acquired continuously across development. The current paper reviews the HBCD Study’s EEG/ERP protocol: (a) the selection and development of the tasks (Video Resting State, Visual Evoked Potential, Auditory Oddball, Face Processing); (b) the implementation of common cross-site acquisition parameters and hardware, site setup, training, and initial piloting; (c) the development of the preprocessing pipelines and creation of derivatives; and (d) the incorporation of equity and inclusion considerations. The paper also provides an overview of the functioning of the EEG Workgroup and the input from members across all steps of protocol development and piloting.

A narrative review of factors affecting memory confidence in the context of compulsive checking: A search for evidence-based potential therapeutic targets to improve memory confidence.

According to current models of compulsive checking, memory confidence greatly contributes to the development and maintenance of checking behaviours. However, how to intervene in memory confidence in an evidence-based manner has not yet been fully understood. Thus, the purpose of the current paper was to identify the factors influencing memory confidence through the review of experimental evidence. PubMed, Google Scholar, OpenGrey and ProQuest databases were searched by combining two sets of keywords related to memory confidence and checking. Our search yielded 24 experiments. Due to the considerable heterogeneity of the studies regarding questionnaires, tasks and paradigms used, data were synthesized using a narrative review approach. Six factors emerged from a thorough review of the literature, including negative memory belief, higher memory standard, inflated sense of responsibility, familiarization with the checked stimuli, number of checks and anxious valence of the checked stimuli. The findings have important implications for the treatment of compulsive checking. We suggested general guidelines to translate these factors into a novel intervention to increase memory confidence in compulsive checkers.

Exploring Sources of Errors in L3 English Production of Natives of Moroccan Arabic

Language learners’ writing products can provide insights into how these learners acquire the target language through the analysis of the committed errors. Indeed, research has revealed that error analysis in writing essays is crucial for understanding and improving language acquisition by identifying common errors, and their sources, and informing teaching strategies to address these issues. The current paper aims to identify, describe and analyze errors committed by Moroccan secondary school students in writing. The study also attempts to determine some of the possible causes of the errors to offer an understanding of how linguistic interference influences the foreign language learning process. To this end, a sample of tasks written in English by a group of 20 secondary school students was collected. Then, an analysis procedure was conducted to analyze errors and explain their sources. Hence, this study adopts a mixed-method approach design to generate qualitative as well as quantitative data by identifying error categories and calculating the total number of error types and sources, respectively. The findings show that the errors are committed both at the word as well as the sentential level including lexical, grammatical, substance, and syntactic errors. Besides, the results indicate that learners commit errors in their English writings partly due to interference of Moroccan or Standard Arabic and French, but mostly due to other developmental sources within the scope of the target language. These findings offer valuable insights into how learners acquire a second or foreign language and what obstacles they encounter in the learning process and, thus, could suggest some implications to reduce the errors caused by negative language transfer and improve learners’ language proficiency.

The role of the Interview Manager (IM) in UK policing: perceptions and experiences of the IM when deployed in high stakes crime investigations

ABSTRACT The last 30 years have seen a dramatic shift in investigative interview training in the United Kingdom (UK) as a result of miscarriages of justice cases featuring vulnerable suspects. In 2001, the UK Police adopted a five-tiered approach to investigative interviewing, with Tier 1 for new recruits through to Tier 5 for interview managers (IMs). The IM is responsible for overseeing strategic decisions with regard to the investigative interviewing process. Even though the role of an IM has been in existence for over twenty years, it is one of the most under-researched aspects of investigative interviewing. The aim of the current paper is to present an oversight of the role of an IM in UK policing using a self-report questionnaire, presenting the responses of 53 UK police IMs’ perceptions of their role in high-stakes crime investigations. Content analysis was carried out on the responses and revealed that IMs are most frequently deployed to murder investigations, followed by serious assaults, then sexual offences. However, not all of the respondents had received the pre-requisite training for the role. Nevertheless, the IMs broadly agreed that the senior investigating officer respected the advice provided by the IM, though without fully understanding what the role entailed. IMs unanimously said the role was crucial to high-stakes investigations and presented their perceptions of the skills, qualities and knowledge that IMs require to perform the role. Finally, future directions of research in this area are outlined.

Environmental, technological, and economic analysis of supercritical coal-fired power system.

Developing countries primarily rely on fossil-based energy sources to meet their energy demands. The use of fossil fuels has several adverse environmental repercussions that damage the biosphere both directly and indirectly. Among fossil fuels, coal brings about the heaviest environmental externalities, yet its abundance makes its use widespread, particular in countries having significant power generation deficits, such as Pakistan. This study presents an environmental, technological, and economic analysis of a supercritical coal-based power unit located in Pakistan and used for electricity generation. For environmental assessment, the CML-1A baseline method in OpenLCA software was used, and eight midpoint impact indicators were selected. The functional unit chosen was 1 MWh of generated electricity. The results indicated that the category of ozone layer depletion has the least impact, whereas global warming potential has the highest impact score. Except for photochemical oxidation and human toxicity, the plant operational stage dominated most of the selected impact categories. The current paper also reveals that the removal efficiency of CO2 and other pollutants is higher in supercritical compared to subcritical plants. Moreover, the economic feasibility of supercritical plant is compared with chemical looping combustion (CLC)-based supercritical coal-fired power plant, and results shows that CLC-based coal-fired power plant is a more competitive and environmentally friendly option. The utilization of a scientific cleaner energy-management system in real-time, as exemplified in this study, may facilitate the development of a optimalpolicy framework that encouragesfor the adoption of cleaner coal power generation in developing countries, ultimately resulting in improved energy sustainability. Furthermore, this paper also presents some policy implications which could be helpful for policymakers, researchers, and industrialists to improve the sustainability of energy in emerging economies.