Practical Technique Research Articles

Effective Communication Strategies for Business Analysts to Bridge the Gap between IT and Finance

As organizations depend more on technology to stay ahead of the competition, their information technology (IT) and business departments must work together closely. However, cultural differences and understanding between the specialized fields often make it hard for them to work together effectively. If these issues are fixed, they could make it easier to finish projects, stick to budgets, and agree on the company's goals. Many companies use business analysts to help people talk to each other by acting as liaisons knowledgeable in technology and finances. However, there is limited information in the literature about how analysts can connect the tasks. This study fills that gap by looking into the problems when IT and finance work together and suggesting specific steps analysts can take to improve strategic alignment. Looking at past studies shows that common differences make it hard for people to work together. IT and finance use different vocabularies for technical terms and project-based versus financial terms, leading to misunderstandings. They also set other priorities. It emphasizes speed of innovation and technical practicality, while finance emphasizes reducing risk, accuracy, and returns. There are also differences in the amount of knowledge and skill that people in IT and finance have regarding technical solution details and financial effects. They also use different ways to make decisions. IT bases judgments on technological factors, while finance assesses business impact. Besides, cultural norms diverge between the flexible and creative IT culture and the rigorous and methodical finance culture. Business analysts should utilize several focused communication strategies to close these gaps. Creating a shared vocabulary helps terms from diverse fields fit. Regular mapping and stakeholder conversations help you grasp other perspectives. Actively listening, repeating, asking questions, and summarizing shows you comprehend. Educating on decision-making variables and expertise broadens perspectives. Discussing cultural meanings and making sure individuals understand questions improves discussion. Using shared goals like increasing sales or lowering costs is another way to unite people around similar goals. By using these specific methods, business experts can help IT and finance work together despite cultural differences. Mapping and teaching regularly help keep relationships strong even as needs and staff change. By focusing on active listening, aligning vocabulary, and highlighting shared interests, you can build good working relationships necessary to get strategic benefits from technology investments.

Estimating pharmacokinetic parameters from Dynamic Contrast-Enhanced T 1-weighted MRI using a three level hierarchical Bayesian model

Abstract Nowadays, Dynamic Contrast Enhanced MRI (DCE-MRI) is becoming the most widely explored technique in clinical practice for tumor assessment. In acquiring DCE-MRI, a contrast agent (CA), also called tracer, is injected into the blood flow before or during the acquisition of a time series of T 1 {T_{1}} -weighted images with fast imaging techniques. When the CA goes through the tissue, MR signal intensity measurements in voxels of the region of interest (ROI) are registered and used to calculate the CA concentration in each voxel. The Tofts models have become standard for the analysis of DCE-MRI and which express tissue CA concentration C ⁢ ( t ) {C(t)} as function of time t. The analysis of quantitative parameters in DCE-MRI provides the quantitative criterion as a reference rather than relying only on the shape of the DCE-curve, as it is used for diagnosis of prostate cancer (PCa). This study aim to provide a new thinking in quantitative analysis which may therefore improve diagnostic accuracy for detection of prostate cancer and could be used in patient baseline prediction and guide management. A hierarchical Bayesian model was built to estimate the values of the four pharmacokinetic parameters ( K trans {K_{\mathrm{trans}}} , k ep {k_{\mathrm{ep}}} , υ p {\upsilon_{\mathrm{p}}} , υ e {\upsilon_{\mathrm{e}}} ) for both prostate healthy and lesion tissues in the peripheral zone. This estimation is important because it help to understand the behavior of the CA in the body and how this latter reacts to the CA in order to emphasize the expectation or the absence of prostate lesion during the diagnosis step.

Quantitative phase imaging with two in-line holograms.

Quantitative phase imaging (QPI) has emerged as a practical technique for acquiring structural information from phase objects. Digital holography can realize phase detection, but it is limited by a spatial bandwidth product or affected by the overlap of conjugate images. The phase retrieval algorithm serves as an effective tool for QPI dealing with intensity patterns. Traditional phase retrieval algorithms heavily rely on strong support constraints or high data redundancy to accurately reconstruct the sample image. However, in single-frame phase retrieval algorithms, the precise acquisition of support constraints is notably challenging. The multiple-measurement spends much time on data acquisition and is unsuitable for dynamic sample observation. In this paper, we propose a novel, to the best of our knowledge, quantitative phase imaging method that utilizes only two in-line holograms. We have developed a phase retrieval algorithm based on ptychography, which eliminates twin-image and separates illumination background. The proposed method achieves high data utilization efficiency and can be employed for dynamic imaging.

Usefulness of morphofunctional assessment techniques in clinical practice in the clinical approach to patients with hematological cancer

Usefulness of morphofunctional assessment techniques in clinical practice in the clinical approach to patients with hematological cancer

Reconstruction of deep and perforating corneal defects in dogs-A review (Part I/III): Autogenous ocular tissues, donor tissues, and corneal clarity scoring.

Corneal reconstruction is a key part of veterinary ophthalmic practice and numerous reconstructive techniques have been described for use in small animals in the peer-reviewed veterinary literature written in English. Despite the evidence accrued over the last six decades in over 40 clinical articles and numerous other publications on ocular surface health, several key areas require further study. The comparison between studies is difficult due to elements that go beyond common factors, such as the indication for surgery, the reconstructive technique preferred by the surgeon or the availability of reconstructive materials. However, the differences in reporting style adopted by different authors between similar studies and the lack of data found in retrospective studies add to this complexity. The present review is divided into three parts. One covers the use of autologous materials for reconstruction and corneal transplants, as well as corneal clarity. A second part focuses on biomaterials and keratoprosthetics, while the third part focuses on the use of corneal sutures and report of ocular discomfort/pain in the veterinary literature. The review focuses on the main findings of each reconstruction technique. It aims to identify areas where key information about common procedures is missing so that general guidelines may be provided for the planning of patient record keeping and future retrospective or prospective studies, while it also aims to highlight the presence of knowledge gaps that deserve further attention.

Two practical techniques to determining presence/ absence and predicted levels of Botryosphaeria panicle and shoot blight of pistachio during the dormant season and in the spring

Two practical techniques to determining presence/ absence and predicted levels of Botryosphaeria panicle and shoot blight of pistachio during the dormant season and in the spring

Promising Approach for Optimizing In Vivo Fluorescence Imaging in a Tumor Mouse Model: Precision in Cancer Research.

Cancer remains a major global health concern due to its high mortality rates. Advanced diagnostic imaging, such as in vivo near-infrared (NIR) fluorescence imaging, enhances early detection by reducing autofluorescence and enabling deeper tissue penetration, addressing some limitations of conventional methods. Understanding the underlying causes of autofluorescence, even in mouse model fluorescence imaging, is crucial for accurate interpretation. This study investigated the origins of autofluorescence observed in experimental animals under NIR wavelengths, achieving successful fluorescence imaging in a clinically relevant tumor mouse model. Both fasting and non-fasting groups were evaluated to assess the dietary impact on autofluorescence, with various feeds tested. Subcutaneous and lung tumor models were established in C57BL/6 and BALB/c nude mice using LL/2-iRFP cells. Cryo-sectioning and lung tissue imaging were conducted to confirm tumor presence and assess fluorescence signals. It was found that autofluorescence, notably common in the abdomen, is attributed to dietary factors. By selecting feed that lacks autofluorescence, the impact of dietary fluorescence on imaging was evaluated, leading to the establishment of optimized imaging conditions suited to the presence or absence of autofluorescence. Subsequently, utilizing lung cancer cells expressing near-infrared proteins (LL/2-iRFP), intratracheal, and subcutaneous tumor mouse models were developed, and successful in vivo imaging was achieved using the optimized imaging protocols, effectively bypassing autofluorescence. This study emphasizes the importance of understanding and addressing autofluorescence in fluorescence imaging, presenting valuable insights for enhancing the reliability and accuracy of diagnostic imaging techniques in cancer research and clinical practice.

Ultrasound-guided forearm selective nerve block: A bright future on the horizon

Objective: In light of the advancement of modern medicine, anesthesiologists and surgeons are increasingly prioritizing patient comfort in diagnostic and therapeutic procedures. A growing body of research revolves around the utilization of ultrasound-guided forearm selective nerve blocks for surgeries involving the distal upper limb. This review aims to provide an overview of regional anesthesia techniques in forearm, hand, and wrist surgeries, laying a theoretical foundation for the prospects of ultrasound-guided forearm selective nerve blocks in optimizing comfort during diagnostic and therapeutic procedures. Methods: A retrospective review of literature sourced from the PubMed database was conducted to comprehensively evaluate and elucidate the advantages and drawbacks of ultrasound-guided forearm selective nerve blocks, brachial plexus blocks, Bier blocks, and wrist blocks. Additionally, a summary was provided regarding the selection of local anesthetics for ultrasound-guided forearm selective nerve blocks. Results: Overall, ultrasound-guided forearm selective nerve block techniques exhibit several advantages over Bier’s block, brachial plexus block, and wrist block for the majority of forearm, wrist, and hand surgeries. These advantages include reduced anesthesia-related time, prolonged duration of analgesia, and minimal impairment of upper extremity motor function. Consequently, these techniques enhance surgical safety and facilitate postoperative recovery. Furthermore, the addition of dexmedetomidine or dexamethasone to ultrasound-guided selective nerve blocks of the forearm could extend the duration of analgesia. Conclusion: Ultrasound-guided forearm selective nerve block is a straightforward and conducive anesthesia method for distal upper limb surgeries, aligning with the principles of fast surgical recovery and enhanced patient comfort during diagnostic and therapeutic procedures. Given its manifold benefits, widespread promotion and adoption of this technique in clinical practice are warranted.

음주 문제가 있는 두 청년 내담자의 가족치료 사례연구

Objective: The purpose of this study is to examine factors influencing clients’ drinking problems and changes in clients and their families depending on intervention methods of therapists, focusing on two family therapy cases involving conflicts due to children’s drinking problems. Methods: The study utilized a case study method, allowing for an in-depth examination of the cases. Results: This study found that the factors influencing the children’s drinking problems included personal factors, family factors, and socio-cultural factors. Personal factors were high anxiety and avoidant tendencies. Family factors included issues stemming from the parents’ families of origin, negative parenting styles, dysfunctional communication methods, and a family culture tolerant of drinking. Socio-cultural factors included patriarchal culture and a preference for sons. Conclusions: The findings of this study show a multifaceted analysis of the factors influencing children’s drinking problems and elucidate the cyclic nature of these factors. Additionally, this study is meaningful in providing practical techniques based on family therapeutic interventions for families with children’s drinking problems.

Simulation Research and Practical Application of Cutting Teeth for Drill Bits in Life-Support Holes

This study aims to achieve rapid drilling of life-support holes, regarding the optimization design of drill bits as the key, among which the simulation analysis of drill bit cutting teeth is an important technical means. Firstly, based on the rock mechanics test results in the study area combined with the corresponding logging information, the analysis and evaluation of the geological conditions in the study area were completed, a complete rock mechanics characteristic profile was established, and the drillability of the rock was calculated to be relatively good. Then, a numerical simulation of parallel cutting of rock with conical teeth was established by experimentally testing rock mechanics parameters and using the discrete element method (PFC2D). The simulation study of the drill bit cutting teeth was completed by parameter calibration, analysis of rock cutting morphology, analysis of the number of rock cutting cracks, and analysis of the specific work of rock cutting and breaking. It was determined that the optimal rock-entering angle of the drill bit cutting teeth in the Shouyang mining area is 14°. Finally, verified by field practice, the optimized drill bit has stable performance, strong cutting ability, and good wear resistance; the maximum instantaneous mechanical drilling speed reaches 58.14 m/h, and it shows a slightly worn state after continuously drilling 582 m in the stratum, meeting the requirements of one-trip drilling and hole formation for life-support holes. This research provides a scientific basis and practical techniques for the construction of life-support holes in the Shouyang mining area and under similar geological conditions. It can provide more effective emergency plans and rescue strategies for possible mine disasters in the future, which is crucial for improving the technical system of emergency rescue for mine accidents and enhancing the emergency rescue capability of surface drilling.

A Comparative Literature Review of Digital and Conventional Impressions in Prosthodontic Practice: From Patient Comfort to Clinical Outcomes

Background: Dental impressions have traditionally been taken using conventional methods, which are time-consuming and often uncomfortable for patients. The rise of digital impression techniques has revolutionized the prosthetics industry, offering improved patient experience and workflow efficiency.Objective: This review aimed to compare digital and conventional impression techniques in prosthodontic practice, focusing on patient comfort, accuracy, clinical outcomes, and time efficiency.Methods: A systematic review was conducted following PRISMA guidelines. Databases including PubMed, Scopus, and Web of Science were searched for studies published between 2010 and 2024. Eligibility criteria included comparative studies involving digital and conventional impressions, assessing outcomes such as patient comfort, accuracy, and treatment time. Data were extracted independently by two reviewers and analyzed qualitatively.Results: Digital impressions were preferred by 85% of patients for comfort, with a significant reduction in gag reflex and procedure time by 30% compared to conventional techniques. Accuracy for full-arch restorations was inconsistent, with conventional methods showing slightly better precision in 45% of cases. Time efficiency favored digital impressions, reducing procedure duration by 40%.Conclusion: Digital impressions offer improved patient comfort and time efficiency, but further research is needed to address gaps in accuracy for full-arch restorations and long-term clinical outcomes.

A digital forensic analysis of an electrocardiogram medical device: A first look

AbstractThe increased frequency and severity of cybersecurity incidents impacting healthcare organizations has prompted the publication of suggested best practices for these organizations, when attempting to respond to incidents in their respective settings. While these best practices provide a wealth of information on how to respond to a cybersecurity incident impacting medical devices, minimal information is provided related to the forensics investigation of the devices themselves. A growing appetite for digital evidence from medical devices, coupled with limited practical guidance from industry best practices prompts an investigation into identifying tools and techniques to assist digital forensic investigators with device disassembly, data acquisition, and preservation of evidence in medical devices. This paper presents the results of a detailed exploratory case study involving the digital forensic investigation of a General Electric MAC 800 electrocardiogram medical device. The contributions of this research are threefold. First, it provides an empirical demonstration of practical techniques for acquiring and examining residual data from the electrocardiogram medical device. Second, the research documents the artifacts that can be recovered from the medical device, which could be used as potential evidence. Third, it provides the foundation for future investigations regarding the tools and processes suitable for examining additional medical devices.This article is categorized under: Digital and Multimedia Science > Cybercrime Investigation Digital and Multimedia Science > IoT Forensics

Content that Promotes Intent to Change: Asynchronous and Synchronous Professional Development for Family Doctors in Continuing Medical Education

Background In 2020, a medical school in northern Ontario launched “Overcoming Barriers to Safe Opioid Prescribing,” a continuing professional development program consisting of an asynchronous online module followed by a series of optional synchronous videoconferences, which together formed a virtual community of practice (VCoP). The videoconferences followed a structured format, where a case study was introduced by one of the participants from their practice, followed by group reflections on the case and the development of strategies for implementing the learnings in their practices. Methods Mixed methods data was collected from participants utilizing a variety of tools and at different times before, during and after their engagement in the program. Qualitative data analysis produced a list of key themes that were cross-validated by anonymized, aggregated program evaluation data to identify further, module-specific themes. Results This paper examines the learning experiences and outcomes of primary care providers that participated in the online modules and synchronous videoconferences and proposes content design strategies that led to these educational experiences. The online module created a baseline of knowledge, increased participants’ familiarity with practice guidelines, comfort and confidence in prescribing and deprescribing behaviours, and increased participants’ familiarity with tools, resources, and strategies for safe opioid prescribing in their practices. The synchronous videoconferences developed a community of learning through modeling, experiential learning and the sharing of experiences and best practices. Conclusions The combination of the online module and synchronous videoconferences led to an increase in the intent to change practice, particularly with enhanced the principles of patient-centred care through their focus on practical, real-world strategies and physician-patient communication techniques. Participants noted that the foundational knowledge and resources provided in the online course was supported and contextualized through the synchronous discussions.

Immediate effects of thoracic mobilization versus soft tissue release on trunk motion, pain, and lumbar muscle activity in patients with chronic low back pain

IntroductionThoracic mobilization and tissue release are common manual techniques in clinical practice. However, the relative effects of these two treatments on chronic low back pain (CLBP) have not yet been explored. Thus, this study aimed to investigate and compare the immediate effects of thoracic mobilization with those of soft tissue release on trunk movement, pain sensation, and muscle activity in patients with CLBP. Methods28 participants were randomly assigned to two intervention groups. The mobilization group received mobilization treatment at the hypomobile joints of the trunk segment, while the soft tissue release group received thoracolumbar fascia release and massage in the lumbar region. The trunk range of motion (ROM), tissue hardness, pressure pain threshold (PPT), and erector spinae activity during light-weight lifting tasks were measured before and immediately after both interventions. FindingsAll measured outcomes in both groups improved after intervention (p < 0.05). The mobilization technique significantly improved side bending and rotation, PPT, and tissue hardness compared to soft tissue release. However, lumbar muscle activation reduced to a greater extent in the soft-tissue release group. ConclusionBoth techniques improved trunk ROM and PPT and reduced tissue hardness and muscle activation. Therefore, both these techniques are recommended for patients with CLBP. Trial registrationISRCTN75190733.

The role of engineered tree pit solutions in nature-positive civil engineering

Successfully establishing and growing street trees presents significant challenges and traditional techniques are associated with elevated tree mortality. Moreover, securing appropriate soil volumes for trees is a substantial challenge, particularly in modern street engineering where the grey infrastructure is prioritised over tree success. Engineered tree pit solutions can counteract this situation. They enable trees and grey infrastructure to coexist, providing improved rooting environments, load-bearing structural support conforming to engineering specifications, and the ability to manage stormwater runoff within one tree pit design. This article presents a literature-informed overview of the current technologies applicable to new-build and retrofit scenarios that integrate street trees and pavements, enabling nature-positive, resilient tree pit designs conducive to tree growth. We focus on the solutions most commonly employed in practice – structural growing media and crate systems – outlining their constituents, construction and considerations for success. This article informs built environment practitioners, policymakers and researchers on innovations translatable into practical techniques to enhance tree pit design and optimise street trees as multifunctional nature-based solutions.

Innovating Social-Emotional Learning to Enhance Positive Engagement of Youth With Social Media: A Comprehensive Review of Why and How.

The rising mental health burden among youth, exacerbated by excessive social media use and other risks associated with digital engagement, necessitates urgent and innovative preventive solutions. The existing research supports the notion that smartphones and social media significantly impact youth mental health, advocating for age restrictions to mitigate worsening psychological distress in the young.This comprehensive narrative literature review synthesizes research on the dual role of social media in shaping well-being among youth and explores how social-emotional learning (SEL) programs can be adapted to encourage a healthy relationship with digital platforms. Innovating SEL programs by incorporating educational techniques such as Problem-Based Learning, Inquiry-Based Learning, and Project-Based Learning inculcates real-world problem-solving and holds significant promise for fostering self-realization and self-regulation among the youth. By inculcating skills related to mindful technology use within SEL programs, students can learn to navigate social media and other technology related risk factors in a way that supports their mental health and overall well-being. The goal is to empower students to make informed decisions about technology and social media use, understand its effects on their mood and mental state, and practice techniques that contribute to a healthier, more balanced digital life. This holistic approach not only mitigates the risks associated with digital overuse but also leverages technology as a tool for enhancing personal and social development. Well-designed, innovative programs backed by thorough feasibility studies can help cultivate a generation of emotionally intelligent, resilient, and adaptive learners who can thrive in an increasingly complex digital landscape. Future research should focus on longitudinal studies to assess the long-term effects of these SEL innovations and develop scalable models that can be implemented across various educational settings.

Reliability polynomial chaos metamodel for the dynamic behaviour of reinforced concrete bridges

The approximation of complex engineering problems and mathematical regressions serves as the authentic inspiration behind the artificial intelligence metamodeling methods. Among these methods, polynomial chaos expansion, along with artificial neural networks, has emerged at the forefront and become the most practical technique. Previous studies have highlighted their robust capabilities in solving complex problems and their wide utilization across numerous applications, particularly in structural analysis, optimization design problems, and predictive models of uncertainty outcomes. The aim of this article is to present a methodology that introduces their implementation of for structural engineering, primarily focusing on reinforced concrete bridges. The proposed approach consists of demonstrating the applicability of the polynomial chaos to evaluate the dynamic behavior of two-span reinforced concrete bridges through a predictive model of natural vibration properties for eigenvalues modal analysis. Subsequently, response spectral method is conducted according to the Moroccan guide for bridge seismic design and the prescription of the EUROCODE 8 within the context of reliability assessment using Monte Carlo simulation. The efficacy of the proposed approach is illustrated by a comparison between the predicted vibration properties and the resulting values obtained through finite element modal analysis and artificial neural networks. The polynomial chaos process is based on a collected dataset of multiple reinforced concrete bridges sourced from technical studies offices and the Regional Administration of the East, affiliated with the Moroccan Ministry of Equipment and Water. Finally, this work contributes to the field by enhancing predictive modeling and reliability evaluation for bridge engineering using artificial intelligence metamodels.

Some (Many) Ways to Think About Artificial Intelligence: Introduction to Special Issue on Effects of Artificial Intelligence Tools in Technical Communication Pedagogy, Practice, and Research, Part 2

Some (Many) Ways to Think About Artificial Intelligence: Introduction to Special Issue on Effects of Artificial Intelligence Tools in Technical Communication Pedagogy, Practice, and Research, Part 2

Pastoral care from the pulpit: preaching as therapy for belief sickness

ABSTRACT It is argued that an important function in pastoral preaching is facilitating self-doctoring for belief sickness. Belief sickness is caused by an element in a personal worldview that is unrealistic, unhelpful, and distorted, and which leads to significant emotional and spiritual distress. There is a tradition in philosophy, beginning with Plato and continuing to the present day, in which the role of the philosopher is construed, in part, as providing a cure for illness in the soul. Taking a lead from Kierkegaard, self-doctoring in pastoral preaching is associated with the method of throwing up competing perspectives to stimulate reflection. Preaching methods such as the story-telling approach, the roundtable, and paradoxical preaching are identified as aligning in a general way with the Kierkegaardian technique. A sermon outline is offered that demonstrates the technique in practice. Though the concentration is on method, the vitally important role of the Word-Spirit partnership in inner transformation and healing is also discussed.

EndoC-βH3 pseudoislets are suitable for intraportal transplantation in diabetic mice

ABSTRACT Background Islet or β-cell transplantation is a therapeutical approach to substitute the insulin-producing cells which are abolished in type 1 diabetes mellitus. The shortage of human islets as well as the complicated and costly isolation process limit the application of these techniques in daily clinical practice. EndoC-βH is a human β-cell line that readily forms aggregates termed pseudoislets, providing an alternative to primary human islets or β-cells. Methods EndoC-βH3 cells were seeded and incubated to form pseudoislets. Their insulin secretion was analyzed by ELISA and compared with cell monolayers. Pseudoislets were transplanted into streptozotocin-treated NMRi nu/nu mice. Blood glucose was monitored before and after transplantation and compared with wild types. Grafts were analyzed by immunohistology. Results This study shows that EndoC-βH cells are able to form pseudoislets by aggregation, leading to an enhanced glucose stimulated insulin secretion in vitro. These pseudoislets were then successfully transplanted into the livers of diabetic mice and produced insulin in vitro. Blood glucose levels of the streptozocin-treated recipient mice were significantly decreased when compared to pre-transplantation and matched the levels found in control mice. Conclusion We suggest pseudoislets aggregated from EndoC-βH cells as a valuable and promising model for islet transplantation research.