5730 research outputs found
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Educational Plan for Certified Nursing Assistants in Long-Term Care Facilities on Assessing Pain of Residents with Dementia
Full text linkCertified nursing assistants employed in long-term care agencies may have little education on the assessment of pain experienced by residents with dementia. The purpose of the Doctor of Nursing Practice Project was to develop an evidenced-based teaching plan for certified nursing assistants caring for residents with dementia in long-term care settings. The plan includes content on dementia, dementia symptoms, pain indicators, and pain assessment in residents with dementia, non-medicinal management strategies, and communication strategies for referring assessment findings to licensed practical and registered nurses. Supplemental PowerPoint™ slides were developed that match the teaching plan. The draft teaching plan was judged by health care professionals, expert in the care of residents in long-term care settings. The revised teaching plan and corresponding PowerPoint™ slides will be shared with long-term care settings
A multi-attribute data mining model for rule extraction and service operations benchmarking
No full textPurpose
Customer differences and similarities play a crucial role in service operations, and service industries need to develop various strategies for different customer types. This study aims to understand the behavioral pattern of customers in the banking industry by proposing a hybrid data mining approach with rule extraction and service operation benchmarking. Design/methodology/approach
The authors analyze customer data to identify the best customers using a modified recency, frequency and monetary (RFM) model and K-means clustering. The number of clusters is determined with a two-step K-means quality analysis based on the Silhouette, Davies–Bouldin and Calinski–Harabasz indices and the evaluation based on distance from average solution (EDAS). The best–worst method (BWM) and the total area based on orthogonal vectors (TAOV) are used next to sort the clusters. Finally, the associative rules and the Apriori algorithm are used to derive the customers\u27 behavior patterns. Findings
As a result of implementing the proposed approach in the financial service industry, customers were segmented and ranked into six clusters by analyzing 20,000 records. Furthermore, frequent customer financial behavior patterns were recognized based on demographic characteristics and financial transactions of customers. Thus, customer types were classified as highly loyal, loyal, high-interacting, low-interacting and missing customers. Eventually, appropriate strategies for interacting with each customer type were proposed. Originality/value
The authors propose a novel hybrid multi-attribute data mining approach for rule extraction and the service operations benchmarking approach by combining data mining tools with a multilayer decision-making approach. The proposed hybrid approach has been implemented in a large-scale problem in the financial services industry
An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection
No full textThe formalization and solution of supplier selection problems (SSPs) based on sustainable (economic, environmental, and social) indicators have become a fundamental tool to perform a strategic analysis of the whole supply chain process and maximize the competitive advantage of firms. Over the last decade, sustainability issues have been often considered in combination with resilient indexes leading to the study of sustainable-resilient supplier selection problems (SRSSPs). The current research on sustainable development, particularly concerned with the strong impact that the recent COVID-19 pandemic has had on supply chains, has been paying increasing attention to the resilience concept and its role within SSPs. This study proposes a hybrid fuzzy multi-criteria decision making (MCDM) method to solve SRSSPs. The fuzzy best-worst method is used first to determine the importance weights of the selection criteria. A combined grey relational analysis and the technique for order of preference by similarity to ideal solution (TOPSIS) method is used next to evaluate the suppliers in a fuzzy environment. Triangular fuzzy numbers (TFNs) are used to express the weights of criteria and alternatives to account for the ambiguity and uncertainty inherent to subjective evaluations. However, the proposed method can be easily extended to other fuzzy settings depending on the uncertainty facing managers and decision-makers. A real-life application is presented to demonstrate the applicability and efficacy of the proposed model. Sixteen evaluation criteria are identified and classified as economic, environmental, social, or resilient. The results obtained through the case study show that “pollution control,” “environmental management system,” and “risk awareness” are the most influential criteria when studying SRSSPs related to the manufacturing industry. Finally, three different sensitivity analysis methods are applied to validate the robustness of the proposed framework, namely, changing the weights of the criteria, comparing the results with those of other common fuzzy MCDM methods, and changing the components of the principal decision matrix
UA.01.015 Records of the School of Business
Full text linkCollection Number: UA.01.015
Repository: La Salle University Archives
Title: Records of the School of Business
Date [inclusive]: 1960s-2000s
Extent: 4.3 Linear feet (10 Record Cartons)
Language: English
Scope and Contents: This collection contains materials related to School of Business, previously known as the School of Business Administration. It contains annual reports, departmental newsletters, informational pamphlets on majors and minors, events programs, and materials documenting the department\u27s membership in the Mid-Atlantic Association of Colleges of Business Administration.https://digitalcommons.lasalle.edu/finding_aids/1028/thumbnail.jp
UA.01.025 Records of the La Salle University Art Museum
Full text linkCollection Number: UA.01.025
Repository: La Salle University Archives
Title: Records of the La Salle University Art Museum
Date [inclusive]: 1970s-2000s
Extent: 14.0 Linear feet (13 Record Cartons)
Language: English
Scope and Contents: The records of the art museum contain, correspondence, exhibition programs, calendars, correspondence with artists, donors, gallerists, calendars, catalogs, etc.https://digitalcommons.lasalle.edu/finding_aids/1037/thumbnail.jp
A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making with Application to Sustainable Transportation
No full textMultiple Criteria Decision-Making (MCDM) methods do not account for the potentially strategic evaluations of experts. Once the ranking is delivered, Decision Makers (DMs) select the first alternative without questioning the credibility of the evaluations received from the experts. We formalize the selection problem of a DM who must choose from a set of alternatives according to both their characteristics and the credibility of the reports received. That is, we transform an MCDM setting into a game-theoretical scenario. We build our analysis on a recent extension of hesitant fuzzy numbers incorporated within the formal structure of TOPSIS. We define the restrictions that must be imposed regarding the credibility of the evaluations and the capacity of experts to form coalitions and manipulate rankings based on their subjective preferences. This feature constitutes a considerable drawback in real-life scenarios, mainly when dealing with environmental and sustainable strategic problems. In this regard, sustainable transportation problems incorporate both technical variables and subjective assessments whose values can be strategically reported by experts. We extend a real-life study case accounting for the evaluations of several experts to demonstrate the importance of strategic incentives for the rankings obtained when implementing MCDM techniques. We numerically illustrate the interactions between the experts’ reporting strategies and the formal tools available for the DMs to counteract potential manipulations of the final ranking
The Rage of Innocence Book Conversation
No full textDrawing upon 25 years of experience representing Black youth in D.C.\u27s juvenile court, Henning confronts America\u27s irrational, manufactured fears of Black youth and makes a powerfully compelling case that the crisis in racist American policing begins with its relationship to Black children. Discriminatory and aggressive policing has socialized a generation of Black teenagers to fear and resent the police, and details the long-term consequences of racism and trauma Black youth experience at the hands of police and their vigilante surrogates.
Unlike white youth, who are afforded the freedom to test boundaries, experiment with sex and drugs, and figure out who they are and who they want to be, Black youth are seen as a threat to white America and are denied healthy adolescent development. Henning examines the criminalization of Black adolescent play and sexuality, and of Black fashion, hair, and music.
She highlights the effects of police presence in schools, and the depth of policing-induced trauma in Black adolescents. Especially in the wake of the recent unprecedented, worldwide outrage at racial injustice and inequality, THE RAGE OF INNOCENCE Is an essential book for our moment
Friend matters: sex differences in social language during autism diagnostic interviews
Full text linkBackground: Autistic individuals frequently experience social communication challenges. Girls are diagnosed with autism less often than boys even when their symptoms are equally severe, which may be due to insufficient understanding of the way autism manifests in girls. Differences in the behavioral presentation of autism, including how people talk about social topics, could contribute to these persistent problems with identification. Despite a growing body of research suggesting that autistic girls and boys present distinct symptom profiles in a variety of domains, including social attention, friendships, social motivation, and language, differences in the way that autistic boys and girls communicate verbally are not yet well understood. Closely analyzing boys’ and girls’ socially-focused language during semi-structured clinical assessments could shed light on potential sex differences in the behavioral presentation of autistic individuals that may prove useful for identifying and effectively supporting autistic girls. Here, we compare social word use in verbally fluent autistic girls and boys during the interview sections of the ADOS-2 Module 3 and measure associations with clinical phenotype.
Methods: School-aged girls and boys with autism (N = 101, 25 females; aged 6–15) were matched on age, IQ, and parent/clinician ratings of autism symptom severity. Our primary analysis compared the number of social words produced by autistic boys and girls (normalized to account for differences in total word production). Social words are words that make reference to other people, including friends and family.
Results: There was a significant main effect of sex on social word production, such that autistic girls used more social words than autistic boys. To identify the specific types of words driving this effect, additional subcategories of friend and family words were analyzed. There was a significant effect of sex on friend words, with girls using significantly more friend words than boys. However, there was no significant main effect of sex on family words, suggesting that sex differences in social word production may be driven by girls talking more about friends compared to boys, not family. To assess relationships between word use and clinical phenotype, we modeled ADOS-2 Social Affect (SA) scores as a function of social word production. In the overall sample, social word use correlated significantly with ADOS-2 SA scores, indicating that participants who used more social words were rated as less socially impaired by clinicians. However, when examined in each sex separately, this result only held for boys.
Limitations: This study cannot speak to the ways in which social word use may differ for younger children, adults, or individuals who are not verbally fluent; in addition, there were more autistic boys than girls in our sample, making it difficult to detect small effects.
Conclusions: Autistic girls used significantly more social words than boys during a diagnostic assessment—despite being matched on age, IQ, and both parent- and clinician-rated autism symptom severity. Sex differences in linguistic markers of social phenotype in autism are especially important in light of the late or missed diagnoses that disproportionately affect autistic girls. Specifically, heightened talk about social topics could complicate autism referral and diagnosis when non-clinician observers expect a male-typical pattern of reduced social focus, which autistic girls may not always exhibit
Enhanced Assessment of Patients Who Vape and Resource Toolkit for Certified Registered Nurse Anesthetists
Full text linkSince 2003 when electronic cigarettes (EC) were first introduced to the United States, vaping has rapidly grown in popularity. Originally advertised as a “healthier” alternative to cigarette smoking, it has since been proven that vaping has its own detrimental pathophysiologic effects on the respiratory, cardiovascular, and other organ systems. Additionally, as vaping ingredients are not fully disclosed, health care providers in general do not have a firm understanding of what substances lead to what outcomes. This is of particular concern to the anesthesia provider as perioperatively patients are subject to a multitude of stressors that can cause hemodynamic instability, an issue that is only further compounded by patient use of unknown inhalants. Although the American Association of Nurse Anesthetists (AANA) has published recommendations for anesthetic management of the patient who vapes, it is difficult to translate the recommendations into practice if patient vaping status is not assessed or understood
Evidence-Based Trigger Videos Related to Distractions and Safety Threats to Anesthesia Care in the Operating Room
Full text linkIntraoperative distractions are considered exceedingly detrimental to the quality of anesthesia care. Distractions in the operating room (OR) cause an array of negative effects for healthcare providers and can represent major patient safety risks. At this time, there is no formal training for anesthesia providers targeting the impact of distractions or educating providers about the risks to their patients.
The primary aim of this project was to develop four trigger videos that will be utilized in future research to increase anesthesia providers’ awareness of the threats to patient care and quality of care that result from disruptions secondary to distractions. A clinical expert panel was selected to which a survey was sent in addition to the video scripts of the trigger videos developed for the purpose of this project, in order to validate the educational content and validity of the videos. The trigger videos were then filmed and will be utilized in continued research to analyze their effects for educating and bringing awareness to anesthesia providers about the detriment of distractions