Client Identity Research Articles

Nursing Care to An. A with a Medical Diagnosis of Acute Gastroenteritis (GEA) in the Carnation Room of Waled Hospital, Cirebon Regency: A Case Study

Gastroenteritis is one of the most common diseases in children worldwide. This disease is the third contributor to the morbidity and mortality of children in various countries, including Indonesia. Acute gastroenteritis is characterized by watery stools that come up abnormally frequently three or more times per day and may contain mucus or blood. Find out comprehensive nursing care for children with a medical diagnosis of Acute gastroenteritis. This research uses a case study method with female respondents with a medical diagnosis of acute gastroenteritis. Data collection techniques were carried out by interview (the results of the interview contained client identity, main complaints, and history of current and past illnesses), observation and physical examination. This research was carried out in the Anyelir Room at Waled Hospital, Cirebon Regency, for three days (January 22nd—24th, 2024). The results of case studies in children with acute gastroenteritis obtained diagnoses that are diarrhea, hyperthermia and hypovolemia. After carrying out nursing care for three days, it was found that the three problems were resolved, so the intervention was stopped. Based on the evaluation results, the problems of diarrhea, hyperthermia and hypovolemia in children can be resolved.

The positive impact of identity-affirming mental health treatment for neurodivergent individuals.

The medical and social definitions of neurodivergence have become a common topic of discussion in recent years, and the ways that we define, measure and report on conditions within the neurodivergent umbrella are changing. The objective of this study was to analyze differences in mental health symptom presentation at intake and compare treatment outcomes among three groups: clients with an affirming neurodivergent diagnosis, clients without an affirming diagnosis, and neurotypical clients. Data were collected at intake and discharge. Clients self-reported neurodivergent identity, neurodivergent diagnoses, as well as the severity of depression symptoms, anxiety symptoms and self-harm frequency. One-way multivariate analysis of variance tests were run to assess differences in mental health symptoms at intake and discharge based on neurodivergent identity and corresponding diagnosis. When MANOVAs indicated significant differences, follow-up univariate one-way ANOVAs were conducted for each dependent variable. Neurodivergent clients reported significantly worse mental health symptoms at intake than neurotypical clients, regardless of diagnosis status. Additionally, clients who identified as neurodivergent but did not report an affirming medical diagnosis reported significantly worse mental health symptoms than those who did report an affirming medical diagnosis. By discharge from IOP treatment, no significant differences were found in symptom change scores between neurodivergent and neurotypical individuals, or neurodivergent individuals with an affirming diagnosis and those without. These findings highlight the importance of acknowledging client identity as a key component of mental health treatment. The act of validating symptoms and experiences, allowing accommodations when requested, and exploring identity formation regardless of diagnosis, allowed all clients who identified as neurodivergent to benefit from treatment.

Neurodiversity-Affirming Applied Behavior Analysis

AbstractIndividuals within the Autistic and Neurodivergent communities have shared numerous concerns about applied behavior analysis (ABA). These criticisms often relate to the ableism reflected within current practices, which have impeded the dignity and autonomy of many individuals with disabilities served through ABA. Both within the field and outside of the field, there is a growing acknowledgment of the need to listen, reflect, and reconsider approaches to service delivery, which can ultimately benefit service recipients well beyond the Autistic or Neurodivergent communities. ABA is committed to being responsive to consumers, even when the social validity data are unfavorable, and the path forward is unclear. This article will provide an overview of historical and current perspectives regarding disability rights, the Autistic and Neurodiversity advocacy movements, and disability as a form of diversity. Calls to action will be presented with accompanying neurodiversity-affirming actions for behavior analytic practitioners. These calls to action are informed by feedback from the Autistic and Neurodivergent communities as well as other interested parties and are related to (1) client identity and language; (2) dignity, self-determination, choice, and assent; and (3) social validity, which may be acted on through compassionate and affirming approaches.

Key-in-session identity negotiations in a first line treatment for adult anorexia nervosa

BackgroundExploration of client identity negotiations during treatment for Anorexia Nervosa (AN) is a relatively new area of research. Research suggests that difficulties with identity negotiations may present as a barrier to treatment. This study sought to explore individuals’ identity negotiations during therapy sessions using Compulsive Exercise Activity Therapy (LEAP) combined with Cognitive Behaviour Therapy for Anorexia Nervosa (CBT-AN). Analysis focused on moments in therapy where individuals’ identities were dominated or defined by AN and where alternative identities could be generated.Method40 in-session transcripts from sessions at early, mid and end points of the CBT-AN (with LEAP) treatment were qualitatively analysed for nine of the 78 participants in the original randomised control trial. Through a constructivist framework, thematic analysis was used to identify surface and latent meanings and discursive material participants used to negotiate their identities in the context of therapy sessions.ResultsAnalysis of in-therapy transcripts generated two themes pertaining to identity negotiations: (1) troubled identities and (2) rebuilding identities and lives outside of AN. Early therapy sessions explored fragmented and AN dominated identities, including how AN was troubling to participants’ sense of self, contributed to conflicted identities, positioned them outside of normality, and was associated with isolated and othering identities. Within therapy sessions, participants engaged in a recursive process of shifting relationships with AN and themselves and building identities and lives outside of the AN identity. This included generating hopes for recovery and the future more frequently in mid- to late- therapy sessions.ConclusionIdentity negotiations evident in the therapeutic conversations aligned with the key components of the CBT-AN intervention, including addressing (1) the characterisation of oneself as ‘an anorexic’ and (2) the diversification of roles and activities to broaden and enhance self-concepts. Future developments of therapeutic interventions for AN would benefit from greater consideration of ways to assist individuals to more comprehensively address problematic identities, including uncovering identities hidden by the AN identity and generating preferred identities.Trial Registration: Ethics approval was obtained at the time of the initial study and for this embedded research by the HREC at the Western Sydney University (HR777332).

Identity and parent-child relationship representations of Nezha: From cultural narrative to case conceptualization

Objective Based on the assumption that the cultural image at the level of experience is the collective and individual psychological reality expressed by cultural narrative and individual narrative, to study the timeless Tales of Nezha (“Natch”) in China as an experiential cultural image of child development and parent-child relationship. Method We adopted the narrative analysis method which focused on qualitative content analysis, covering religion, folklore, literature, entertainment, education and other fields. Result Our exposition articulates a cultural narrative framework of diachronic and contemporary cultural image of “Nezha”, the iconic child deity. This framework refers to our academic research discipline of describing the image characteristics, plots and interpersonal relationship, and conceptualizing the theme as psychological meaning units of personal identity and parent-child relationship. By analogizing and comparing this framework with the “Nezha” of personal narratives in consultation, we found the interactive clues of the case’s identity and parent-child relationship. We then combined these with specific elements unique and particular to each individual case in order to achieve a meaningful case conceptualization. This process enabled us to apply psychotherapeutic intervention at opportune moments during a counselling session. Conclusions The cultural image emerging from the counseling is not only a personal narrative of resource and a tool for the client to externalize the problem and identity representation, but also a cultural narrative reference point for the counselor to understand the case and to engage in further in-depth work. The personal narrative qualitative data can be obtained by referring to four dimensions: external—internal, event—image, narrative—interpretation, and experience—reflection. With the narrative identity of client, the “Nezha” of personal narrative led to the theme that parent-child relationship impedes the development of personal identity. The counselor was thereby enabled to construct a new meaning and new identity with the client by providing appropriate information and knowledge of the cultural narrative.

Fraud Resistant Off-Line Card Micropayments Using FRoDO and PUF

The internet payment system, which is a widespread cybercrime, is a major issue nowadays. Attackers concentrate on point of sale (POS) systems, the point at which a bank or merchant initially obtains customer information, with the goal of stealing confidential customer information. Effective computer systems with a card reader and specialised software are POS architectures. In this situation, the attacker might utilise malicious software (MS) to steal card statistics. If the customer and the supplier are consistently cut off from the network in, no online payment is practical. If the community fails, attacker's side will attempt to steal the password from the users throughout the price, therefore a safe online transaction price may not be achievable. Due to the PoS information breaches, we recommend an offline micro-fee solution that is secure and protects privacy for the persistent attackers in our paper. We use the FRoDO protocol to make the payment simple and secure from attackers. This protocol not only checks the client's coins but also confirms the client's identity by using identification details. This protocol increases flexibility and security and boosts the device's efficiency by infusing a comfortable micro-charge between the client and carrier.

Organizational narratives in rehabilitation-focused dementia care - Negotiating identities, interventions and personhood.

Rehabilitation is increasingly being introduced in dementia care but studies highlight extensive heterogeneity in practices, conceptual confusion and divergent perceptions of its relevance across care organizations and national contexts. As this have implications for development of dementia care as well as for people with dementia's access to care it is important to study the organizational narratives and practices in rehabilitation-oriented dementia care organizations. The study build on qualitative interviews (individual and group interviews) with health professionals (N = 26) engaged with dementia care and rehabilitation in two Danish municipalities. The interviews were conducted in 2018-2019. The empirical data was analyzed using abductive analysis and theory-based narrative analysis, using Loseke's conceptualizations of and approach to analyzing formula stories. Four dominant organizational narratives were constructed from the data. Each narrative produced a specific organizational narrative of client identity: the active participant in individualized rehabilitation, the inactive individual benefitting from enhanced social environments, the disengaging self and the vulnerable self. Introducing rehabilitation in dementia care may amplify the organizational polyphonic and provide a plurality of organizational identities each expressing different perceptions of personhood and agency for people with dementia. The organizational narratives were negotiated within a specific structural context where national regulation and dominant discourses on economic challenges and ageing gave precedence to some narratives more than others. In Danish elder care, the first narrative is the most influential but risks excluding people with dementia. Instead, rehabilitation in dementia care is positioned within a social and relational perspective, which may silence important discussion of agency and resistance.

The Medical Metaverse, Part 1: Introduction, Definitions, and New Horizons for Neuropsychiatry.

The Medical Metaverse, Part 1: Introduction, Definitions, and New Horizons for Neuropsychiatry.

Expert Consensus on ECG Identification Applied in the Insurance Industry✰

Electrocardiograms (ECGs) have the potential to be used as a reliable source of information for human identity recognition due to their universality, portability, and unique and stable biological identification features. This method enriches and refines existing biometric identification techniques, and is suitable for customer identity identification in the insurance industry. This article has the following objectives: 1) to introduce biometric identification techniques commonly used in the insurance industry, including ECG biometric identification techniques, and their advantages; 2) to discuss major aspects of ECG biometric identification techniques; 3) to systematically review the most recent advances in ECG identification and extraction characteristics from research in China and other countries; 4) to outline the technical aspects of using ECGs for recognizing client identity in the insurance industry; and 5) to discuss the future of ECGs in identity recognition. This article is aimed at further promoting the application of living personal ECG identification techniques in the insurance industry, and extending it to areas including medical insurance, banking, justice, public security, military, government, enterprises, and other departments and areas in which identification is needed to promote social stability and national security.

Person-Specific Face Spoofing Detection Based on a Siamese Network

Face spoofing detection is an essential prerequisite for face recognition applications. Previous face spoofing detection methods usually trained a binary classifier to classify the input face as a spoof face or a real face before face recognition, and client identity information was not utilized. In this paper, we propose a person-specific face spoofing detection method to employ client identity information for face spoofing detection. In our method, face spoofing is detected after face recognition rather than before face recognition; that is, the input face is recognized first, and the client identity is used to assist face spoofing detection. We train a deep Siamese network with image pairs. Each image pair consists of two real face images or one real and one spoof face image. The face images in each pair come from the same client. The deep Siamese network is trained by joint Bayesian loss together with contrastive loss and softmax loss. In testing, an input face image is recognized first, then the real face image of the identified client is retrieved, and an image pair is formed by the test face image and the retrieved real face image. The image pair is classified by the trained Siamese network to determine whether the input test image is a real face or not. The experimental results demonstrate the effectiveness of our method.

What are we teaching in spirituality and social work elective courses? A qualitative content analysis of BSW syllabi

ABSTRACT Religion and spirituality (RS) are vital aspects of client identity and well-being, yet social work professionals are often ill-equipped to address these in practice due to a lack of specialized training. The National Association of Social Work (NASW) and Council on Social Work Education (CSWE) support integrating RS content into social work curriculum, but existing research focuses on Master of Social Work (MSW)-level elective courses. This qualitative study addresses Bachelor of Social Work (BSW)-level integration by (a) exploring how many accredited BSW programs offer an elective course on RS and (b) analyzing syllabi from these courses to determine specific strategies for teaching RS topics. BSW programs can use the study results as a guide for planning and structuring RS content within their curriculum.

A qualitative study of how stigma influences HIV services for transgender men and women in Nigeria.

IntroductionTransgender men and women in Nigeria experience many barriers in accessing HIV prevention and treatment services, particularly given the environment of transphobia (including harassment, violence and discrimination) and punitive laws in the country. HIV epidemic control in Nigeria requires improving access to and quality of HIV services for key populations at high risk, including transgender men and women. We assessed how stigma influences HIV services for transgender people in Lagos, Nigeria.MethodsIn‐depth interviews (IDIs) and focus group discussions were conducted with transgender men (n = 13) and transgender women (n = 25); IDIs were conducted with community service organization (CSO) staff (n = 8) and healthcare providers from CSO clinics and public health facilities (n = 10) working with the transgender population in March 2021 in Lagos. Content analysis was used to identify how stigma influences transgender people's experiences with HIV services.Results and discussionThree main findings emerged. First, gender identity disclosure is challenging due to anticipated stigma experienced by transgender persons and fear of legal repercussions. Fear of being turned in to authorities was a major barrier to disclose to providers in facilities not affiliated with a transgender‐inclusive clinic. Providers also reported difficulty in eliciting information about the client's gender identity. Second, respondents reported lack of sensitivity among providers about gender identity and conflation of transgender men with lesbian women and transgender women with being gay or men who have sex with men, the latter being more of a common occurrence. Transgender participants also reported feeling disrespected when providers were not sensitive to their pronoun of preference. Third, HIV services that are not transgender‐inclusive and gender‐affirming can reinforce stigma. Both transgender men and women spoke about experiencing stigma and being refused HIV services, especially in mainstream public health facilities, as opposed to transgender‐inclusive CSO clinics.ConclusionsThis study highlights how stigma impedes access to appropriate HIV services for transgender men and women, which can have a negative impact along the HIV care continuum. There is a need for transgender‐inclusive HIV services and competency trainings for healthcare providers so that transgender clients can receive appropriate and gender‐affirming HIV services.

Privacy-Preserving Positioning in Wi-Fi Fine Timing Measurement

AbstractWith the standardization of Wi-Fi Fine Timing Measurement (Wi-Fi FTM; IEEE 802.11mc), the IEEE introduced indoor positioning for Wi-Fi networks. To date, Wi-Fi FTM is the most widely supported Wi-Fi distance measurement and positioning system. In this paper, we perform the first privacy analysis of Wi-Fi FTM and evaluate devices from a wide variety of vendors. We find the protocol inherently leaks location-sensitive information. Most notably, we present techniques that allow any client to be localized and tracked by a solely passive adversary. We identify flaws inWi-Fi FTM MAC address randomization and present techniques to fingerprint stations with firmware-specific granularity further leaking client identity. We address these shortcomings and present a privacy-preserving passive positioning system that leverages existing Wi-Fi FTM infrastructure and requires no hardware changes. Due to the absence of any client-side transmission, our design hides the very existence of a client and as a side-effect improves overall scalability without compromising on accuracy. Finally, we present privacy-enhancing recommendations for the current and next-generation protocols such as Wi-Fi Next Generation Positioning (Wi-Fi NGP; IEEE 802.11az).

To conceal or not to conceal: Supervisee and client identity processes in clinical supervision.

Supervision is often conceived of as the "instructional strategy that most characterizes the preparation of mental health professionals" (Bernard & Goodyear, 2019; p. 2). Engaging in this process fully and authentically inevitably involves being vulnerable in front of and with one's supervisor in an effort to learn and grow. To more fully understand the supervisory relationship, researchers have focused on what supervisees do and do not share with their supervisors. This article sought to understand the extent to which supervisees engage in a process of concealment or nondisclosure about culture while in supervision. Cultural concealment (operationalized by Drinane, et al., 2018) was measured on 2 levels: one focused on if the supervisee concealed their own culture and one focused on if the supervisee concealed aspects of their clients' cultural identities. First, we found significant negative associations between each of these levels of cultural concealment and satisfaction with supervision and the supervisory working alliance. We then computed a residual score whereby supervisee cultural concealment about clients was predicted by supervisee cultural concealment about themselves. This residual variable was a significant predictor of satisfaction with supervision with supervision and with the supervisory working alliance, indicating that the relationship between these levels of concealment is important and related to the process of supervision. Implications and future directions will be discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The relationship between different types of leadership, client's identity, and self-confidence and auditors' impartiality

PurposeThis paper aims to assess the effect of different leadership types, the client's identity and auditors' self-confidence on auditors' impartiality.Design/methodology/approachThis paper is a descriptive-survey type, and the collected data are based on a predesigned questionnaire distributed in January 2020. The PLS software is used for data analysis, and the statistical population of this paper includes employed auditors in enlisted audit firms on the Official Association of Auditors. When the parameters were insignificant, the obtained probability from the model fitting was used for hypothesis testing, and the appropriateness of the model was assessed via the structural equations.FindingsThe results show a significant relationship between charismatic, transformational, participatory, delegating and bureaucratic leadership and auditors' impartiality. There is also an association between the client's identity and the auditor's impartiality. The client's identity mediates the relationship between transformational leadership and the auditor's impartiality. Moreover, there is a significant relationship between self-confidence and auditor's impartiality.Originality/valueThis paper enjoys an innovative method in the field of behavioural auditing. The effect of transformational leadership on auditor's impartiality with the mediatory role of the client's identity shows the in-depth client–auditor relationship has been taken for granted and not examined previously, so the results of this paper can lend a helping hand to audit firms to enhance the organisational performance.

Classification Methods for Market Making in Auction Markets

Can machines learn to reliably predict auction outcomes in financial markets? The authors study this question using classification methods from machine learning and auction data from the request-for-quote protocol used in many multi-dealer-to-client markets. Their answer is affirmative. The highest performance is achieved using gradient-boosted decision trees coupled with preprocessing tools to handle class imbalance. Competition level, client identity, and bid–ask quotes are shown to be the most important features. To illustrate the usefulness of these findings, the authors create a profit-maximizing agent to suggest price quotes. Results show more aggressive behavior compared to human dealers. <b>Key Findings</b> ▪ We propose a machine learning–based approach for determining auction outcomes by exploring the use of classification algorithms for outcome predictions and show that gradient-boosted decision trees obtain the best performance on an industrial data set. ▪ We uncover bid–ask normalized spread levels and competition level as the most important features and evaluate their influence on predictions through Shapley value estimation. ▪ We demonstrate the usefulness of our approach by creating a profit-maximizing agent using a classifier for win probability predictions. Our agent’s behavior is aggressive compared to human dealers.

Embedding Elliptic Curve Cryptography and Twofish Algorithm to Improve Data Security in Internet of Things

The implicit idea of the IoT is to follow client's identity effectively, so the security and protection concerns like theft the information and disturbance of tasks are turning out to be basic issues in the present IoT applications. Aggressor can pick up the access to the system can harm the physical gadgets of IoT can harm the system which bargains the protection and security of IoT. As the IoT gadgets have low memory, less force and data transmission a productive arrangement to give security is required that won't chomp through the resources of IoT. Because of the resource constrained condition in IoT the regular algorithms isn't sufficient to guarantee the information security. So we want a less computational expense as far as force utilization, memory management and more effective cryptography algorithms to offer more information security in IoT. This paper shows the hybrid cryptography security in IoT by embedding of ECC and TwoFish calculation, which gives an enhanced answer for upgrade the security highlights of the IoT with the goal that we can improve the administration therefore achieves growing the trust over the advancement.

Assessing the potential use of blockchain technology to improve the sharing of public health data in a western Canadian province.

This exploratory, qualitative study set out to identify the encountered and perceived barriers to public health (PH) data sharing in a Canadian province with a view to assessing blockchain technology as a potential solution. A topic guide was developed, based on previous research in the area. This was then utilised for ten in-depth, semi-structured interviews with PH professionals between 27 May and 18 June 2019. Each stage of research was congruent with the philosophical underpinning of Gadamerian hermeneutic phenomenology. The major themes that emerged from the data collected were related to the information systems in use, data quality and ownership, as well as client identity management. The recurring core theme throughout all interviews was related to ineffective leadership and management, contributing to each major theme. Overwhelmingly the results show that the majority of barriers faced in this province are human-related. It is concluded that while blockchain technology shows promise for enhancing data sharing in healthcare, it is still many years away from being implemented in this Canadian province. As the results of this study indicate, there are human related barriers that could be addressed in the meantime, which are outside the scope of a technical solution. Future work should explore the perspectives of other stakeholders, such as the provincial government to fully understand the potential for using blockchain to share PH data in this province.

An Efficient, Robust, and Lightweight Subtree-Based Three-Factor Authentication Procedure for Large-Scale DWSN in Random Oracle

Wireless sensor networks (WSNs) are the backbones of numerous real-time monitoring systems that are applied to serve many different parts of our everyday lives including traffic management, telecare, pollution control, military application, among others. In most cases, WSN systems involve exchanges of sensitive/private data between the sensor nodes and the outside world. In order to preserve data privacy, illegal data access must be denied, and so the remote client has to be properly authorized by both the base station and the sensor node in order to ensure data access legitimacy. Many authentication procedures have been projected by researchers based on various frameworks of parameters such as (two-factor authentication (2-FA) = Smart card + Password) and (three-factor authentication (3-FA) = Biometric + Smart card + Password) in the literature. Das <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> (2015) projected a three-factor technique for resource-constrained distributed WSN to address the existing pitfalls. In this article, we present an analysis of Das <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> ’s technique and point out some inconsistencies in the technique; demonstrating that the system is vulnerable against a known session-specific particular information attack, which thus prompts leakage of the client identity. We offer a robust subtree-based 3-FA procedure to fix the problem. In addition, we show the security strengths of our devised approach which have been established both informally and formally using the random oracle model and AVISPA tool.

Analyzing User-Level Privacy Attack Against Federated Learning

Federated learning has emerged as an advanced privacy-preserving learning technique for mobile edge computing, where the model is trained in a decentralized manner by the clients, preventing the server from directly accessing those private data from the clients. This learning mechanism significantly challenges the attack from the server side. Although the state-of-the-art attacking techniques that incorporated the advance of Generative adversarial networks (GANs) could construct class representatives of the global data distribution among all clients, it is still challenging to distinguishably attack a specific client (i.e., user-level privacy leakage), which is a stronger privacy threat to precisely recover the private data from a specific client. To analyze the privacy leakage of federated learning, this paper gives the first attempt to explore user-level privacy leakage by the attack from a malicious server. We propose a framework incorporating GAN with a multi-task discriminator, called multi-task GAN - Auxiliary Identification (mGAN-AI), which simultaneously discriminates category, reality, and client identity of input samples. The novel discrimination on client identity enables the generator to recover user specified private data. Unlike existing works interfering the federated learning process, the proposed method works “invisibly” on the server side. Furthermore, considering the anonymization strategy for mitigating mGAN-AI, we propose a beforehand linkability attack which re-identifies the anonymized updates by associating the client representatives. A novel siamese network fusing the identification and verification models is developed for measuring the similarity of representatives. The experimental results demonstrate the effectiveness of the proposed approaches and the superior to the state-of-the-art.