Problem-solving Tool Research Articles

Exploring the synergy between generative AI and software engineering: Automating code optimization and bug fixing

As applied to software engineering, generative AI is quickly transitioning from a zero-sum industry game changer into the primary automation tool for code optimization, bug identification, and problem-solving. This technology takes advantage of artificial intelligence algorithms within machine learning models to analyze and write code, resulting in improved quality and speed of an application development process. The generative AI replenishes productivity in development work and enhances centralization between development work teams through code handling and intelligent suggestions for essential codes. However, the integration of AI in software engineering poses the following problems and ethical questions: the question of accuracy, bias, and data. This paper will review the existing knowledge on generative AI in software engineering regarding its current use, future evolutions and advancements, issues and limitations, and ethical factors in using this technology. This paper considers these aspects to give a global outlook on how generative AI will transform software development in the future and how responsible AI should be employed.

An update on pancreatic cancer imaging, staging and use of the PACT-UK radiology template pre- and post-neoadjuvant treatment.

Pancreatic ductal adenocarcinoma continues to have a poor prognosis, although recent advances in neoadjuvant treatments have provided some hope. Imaging assessment of suspected tumours can be challenging and requires a specific approach, with pancreas protocol CT being the primary imaging modality for staging with other modalities used as problem-solving tools to facilitate appropriate management. Imaging assessment post neoadjuvant treatment can be particularly difficult due to a current lack of robust radiological criteria to predict response and differentiate treatment induced fibrosis/inflammation from residual tumour. This review aims to provide an update of pancreatic ductal adenocarcinoma with particular focus on three points: tumour staging pre- and post-neoadjuvant treatment including vascular assessment, structured reporting with introduction of the PACT-UK radiology template (PAncreatic Cancer reporting Template-UK), and the potential future role of artificial intelligence in the diagnosis and staging of pancreatic cancer.

Impact of a Design Thinking Educational Activity on Graduate Students' Knowledge, Confidence, and Perceived Benefits.

Design Thinking is gaining recognition as an innovative and creative approach to problem solving. Though nurse leaders need problem solving tools to address health care challenges, Design Thinking concepts are not commonly taught in nursing education. To introduce graduate level nursing students to Design Thinking, we held an educational activity focused on this content as part of required coursework. The purpose was to describe and compare outcomes of a Design Thinking educational activity on students' perceived knowledge, confidence, and benefits to nursing practice. Graduate level nursing students participated in a 3-hour educational activity. After the session, students completed an anonymous 10-item survey of their perceptions of the educational activity. Students reported increased knowledge and confidence of communication strategies and Design Thinking concepts that would benefit their practice. Nurse educators should include Design Thinking teaching and learning strategies in their programs.

Utility of Sonoelastography and Magnetic Resonance Imaging in Characterization of Thyroid Nodules.

To evaluate thyroid nodules with sonoelastography and magnetic resonance imaging (MRI). The study included 28 patients with 40 thyroid nodules. Clearance was obtained from the institute's ethical clearance committee. Patients with pure cystic nodules or nodules with eggshell calcification, diffuse thyroid pathology (such as Graves' disease, Hashimoto's thyroiditis, De Quervain thyroiditis, and Riedel's thyroiditis), inaccessible nodules via fine needle aspiration cytology (FNAC), or patients with a history of thyroid gland surgery were excluded from the study. Strain elastography was performed on a Phillips iU22 machine, producing qualitative color-coded strain maps (graded using the Rago 5-point system) and semiquantitative strain ratios. MRI was performed on a Phillips ACHIEVA 1.5T magnet with a head and neck coil. Rago scores statistically correlated (χ2 = 18.052, p < 0.001) with malignant nodules, and using the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUROC) for the mean strain ratio predicting malignant outcomes was 0.88 [95% confidence interval (CI): 0.767-0.992], which was also statistically significant (p < 0.001). A cutoff of mean strain ratio ≥2.48 predicted malignant outcomes with 100% specificity. T2 signal intensity ratio (SIR) and apparent diffusion coefficient (ADC) values were not statistically significant in predicting malignant outcomes. Kinetic curves were statistically significant for Rago scores (χ2 = 11.356, p = 0.045); however, no significant difference was found in predicting malignant outcomes. We concluded that sonoelastography, along with grayscale ultrasound, is a useful noninvasive technique for predicting histological outcomes. However, MRI should largely be reserved as a problem-solving tool rather than a standalone imaging modality. The kinetic curves show some degree of overlap between histologically distinct diseases, and thus large-scale multicenter trials are needed for further standardization.

The Retrosynthesis Mindset: A Problem-Solving Tool

AbstractRetrosynthesis refers to the process of deconstructing a target molecule step by step until simpler and commercially available synthetic precursors are identified to develop a valid synthetic pathway. As a powerful problem-solving tool, it has gradually been expanded to other fields of chemistry. The application of a ‘retrosynthesis mindset’ can be relevant beyond chemistry, such as in education, research management, and science advice. In this Letter, we discuss the concept of the retrosynthesis mindset and its implications within and beyond chemistry in the hope of highlighting a broader potential and encouraging the adoption of such a mindset to enhance problem solving and strategic planning across disciplines.1 Introduction2 Retrosynthesis Education3 Retrosynthesis Within and Beyond the Lab4 Conclusion

Usefulness of Combined Advanced Dynamic Contrast-Enhanced and Diffusion-Weighted MRI Over Ultrasonography in Differentiating Cancer From Benign Lesions in Dense Breasts.

Aim To evaluate the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) in characterizing suspicious lesions in dense breasts compared to ultrasonography (USG). Materials and methods Eighty-two consecutive female patients with suspicious lesions in dense breast parenchyma showing the American College of Radiology Breast Imaging Reporting And Data System (ACR BI-RADS) c/d composition on mammography underwent USG, where 63 lesions of 63 patients were suspicious. They underwent multiparametric MRI, followed by histopathological evaluation (HPE) of the lesions.Statistical analysis was done to calculate the sensitivity, specificity, and accuracy of USG and MRI in lesion characterization and the combined accuracy of DCE-MRI with DWI.The receiver operating characteristic (ROC) curve analysis provided the cut-off for the apparent diffusion coefficient (ADC) value. Results The sensitivity, specificity, and accuracy of USG were 91.7%, 63%, and 79.4%, respectively. Kinetic curve analysis on DCE-MRI showed a type I curve only in benign lesions. Malignant lesions predominantly showed a type III curve.The sensitivity, specificity, and accuracy of DCE-MRI were 95.8%, 78.5%, and 85.7%, respectively.The optimum cut-off ADC value was 1.05x10-3 mm2/s with sensitivity, specificity, and accuracy of 83.3 % each.The specificity and accuracy of combined DCE-MRI with DWI were 94.4% and 88.1%, respectively. Conclusion Advanced MRI, including a combination of DCE-MRI kinetics and DWI, would be more effective and accurate for lesion characterization in dense breasts and act as a superior problem-solving tool compared to USG in differentiating carcinoma from benign lesions.

PET/MRI: pictorial review of hepatobiliary and pancreatic applications.

PET and MRI both play valuable roles in the management of hepatobiliary and pancreatic (HBP) malignancies. Simultaneous PET/MRI combines the excellent soft-tissue resolution and anatomic details from MRI with functional information from PET in a single comprehensive examination. MRI is the main imaging modality in evaluating HCC, playing important roles in screening, characterization, local extent, and evaluating tumor response, whereas 18F-fluorodeoxyglucose (FDG) PET can help evaluate for lymph node involvement and metastatic disease. In cholangiocarcinoma and pancreatic malignancies, both PET and MRI have excellent utility in initial staging as well as assessing treatment response. In all HBP malignancies, FDG-PET/MRI is a unique problem-solving tool in complex cases and diagnostic challenges, especially after locoregional therapy and when differentiating residual or recurrent viable disease from inflammatory and other benign processes. In this manuscript, we review the role of PET/MRI in the diagnosis, staging, assessing treatment response, and characterizing post-treatment processes. With the introduction of multiple new tracers, the value of PET/MRI has not yet been fully realized, and more studies are needed to demonstrate the utility and efficacy of PET/MRI in improving patient care in hepatobiliary and pancreatic oncology.

Imaging findings in suspected penile fracture: alternative diagnoses and surgical correlation.

The primary objective is to compare the imaging and surgical findings in a cohort of patients with suspected penile fracture (PF). Retrospective cohort study of all patients with suspected PF over an 11-year period at a tertiary referral andrology centre. All dedicated presurgical imaging with ultrasound (US) and MRI was analysed and correlated with intraoperative findings; alternative diagnoses were recorded. One hundred and ninety-three patients were included. One hundred and four (54%) had alternative diagnoses to PF including dorsal vein rupture and haematoma. Ninety-nine (51%) underwent surgical exploration of which 89 (46%) had PF. US correctly confirmed the presence and marked the site of fracture in 92% of cases. MRI was primarily used as a problem-solving tool (13 cases) and demonstrated a more extensive injury than US (12 cases). The reported size of tunical defect on imaging was a median of 7 mm (IQR 4-10) significantly smaller than on exploration (median 20 mm, IQR 10-30; P < .0001). US has a high positive predictive value in the confirmation of PF. MRI improves the detection and characterizing the extent of injury. Imaging marking informs surgical incision but defect size is under appreciated on all imaging modalities. Penile imaging has a high positive predictive value to not only confirm the diagnosis of PF but to stage the extent of injury and mark the skin, which impacts the surgical technique. Alternative diagnoses to fracture are common and imaging could prevent unnecessary surgical exploration.

Update on the Role of Imaging in the Diagnosis, Staging, and Prognostication of Gallbladder Cancer

AbstractGallbladder cancer (GBC) is a highly aggressive malignancy with dismal prognosis. GBC is characterized by marked geographic predilection. GBC has distinct morphological types that pose unique challenges in diagnosis and differentiation from benign lesions. There are no specific clinical or serological markers of GBC. Imaging plays a key role not only in diagnosis and staging but also in prognostication. Ultrasound (US) is the initial test of choice that allows risk stratification in wall thickening and polypoidal type of gallbladder lesions. US findings guide further investigations and management. Computed tomography (CT) is the test of choice for staging GBC as it allows comprehensive evaluation of the gallbladder lesion, liver involvement, lymph nodes, peritoneum, and other distant sites for potential metastases. Magnetic resonance imaging (MRI) and magnetic resonance cholangiopancreatography allow better delineation of the biliary system involvement. Contrast-enhanced US and advanced MRI techniques including diffusion-weighted imaging and dynamic contrast-enhanced MRI are used as problem-solving tools in cases where distinction from benign lesion is challenging at US and CT. Positron emission tomography is also used in selected cases for accurate staging of the disease. In this review, we provide an up-to-date insight into the role of imaging in diagnosis, staging, and prognostication of GBC.

Use of Language By generative AI Tools in Mathematical Problem Solving: The Case of ChatGPT

Texts generated by artificial intelligence agents have been suggested as tools supporting students’ learning. The present research analyses the language of texts generated by ChatGPT when solving mathematical problems related to the quadratic equation. We use the functional grammar theoretical framework that includes three meta-functions: the ideational meta-function, the interpersonal meta-function and the textual meta-function. The results indicated that in at least one of six problem-solving tasks ChatGPT provided a mathematically incorrect answer. The processes appearing in ChatGPT texts, aiming at developing students’ understanding of mathematical concepts, included verbal, mental, existential, relational and behavioural processes but no material processes. Specifically, ChatGPT performed a mathematically incorrect existential process. ChatGPT generally used the first plural pronoun ‘we’ when describing the processes of solving mathematical problems, while it generally used the first-person singular pronoun when taking responsibility for a specific mistake or when expressing happiness for the actions of the user. Moreover, generally the text of the solution did not include direct imperatives but used ‘let us do’. The advancement of the ChatGPT textual solution was made usually through steps like ‘first’, ‘second’, etc. The research results indicated that the way ChatGPT responded to the mathematical problems would be useful in supporting learners’ understanding of ways to solve quadratic equations, but only if the teacher critically accompanies the student in the problem-solving process. Self-study with ChatGPT could lead to or confirm students’ mathematical misconceptions.

Imaging techniques for diagnosing and managing Peyronie disease.

Erectile dysfunction (ED) affects up to 50% of men to some degree and has a variety of physiologic and psychologic causes, but many patients do not seek specialist treatment. One cause of ED is Peyronie disease (PD) defined by the presence of fibrotic plaques in the tunica albuginea which cause painful penile contractures. While diagnosing PD relies on clinical history and a focused history and physical exam, adding imaging studies can identify nonpalpable plaques and any underlying vasculogenic ED to tailor the extent of surgical treatment and determine when implantable penile prostheses are beneficial. After briefly reviewing penile anatomy, erectile function, and the clinical features of PD, this paper describes the imaging findings of vasculogenic ED on Doppler ultrasound (US), followed by the imaging appearance of PD on US, computed tomography (CT), and magnetic resonance imaging (MRI) to increase recognition of this disease and show how imaging can be used as a problem-solving tool for treatment planning and evaluating post-surgical complications, especially malfunctioning implanted devices. By increasing the understanding of how imaging can be used for patients with PD with or without vasculogenic ED before and after treatment, radiologists and urologists can collaborate on patient management.

Teaching abductive reasoning for use as a problem-solving tool in organic chemistry and beyond

The second-year undergraduate Organic Chemistry course sequence is often cited as one of the most, if not the most, challenging for students in the US. Thus, a persistent question remains: What is it about Organic Chemistry that makes the course so difficult for students? Herein, we put forward the hypothesis that a new mode of thinking and problem solving is expected of the students; these skills have not yet been developed in their prior scientific coursework and are often not deliberately taught in Organic Chemistry. This form of reasoning and problem solving, known as abductive reasoning, is highlighted for its connection to medical diagnosis and scientific thinking. We provide examples to showcase how instructors could explicitly foreground the reasoning process in their classroom. Ultimately, we argue that teaching how to reason using abduction may benefit students in both the short term (in the course) and the long term (in their careers as scientists and medical practitioners).

The Application of Atomic Spectroscopy Techniques in the Recovery of Critical Raw Materials from Industrial Waste Streams, Part II

This month’s column is Part 2 of a contribution from my daughter Glenna, who recently completed her PhD studies in Environmental Science from the University of Copenhagen in Denmark. Her article explores the current landscape of global critical raw materials (CRM) trends in research and the applications of atomic spectroscopy (AS), including inductively coupled plasma–mass spectrometry (ICP-MS), inductively coupled plasma–optical emission spectrometry (ICP-OES), and X-ray analytical techniques in their identification of diverse industrial and environmental media, which have been essential in method validation and quantification of CRMs in complex matrices presenting high risks of interference. Some important examples to be presented include rare earth elements (REEs) in water leaching purification (WLP) residues that co-occur with radioactive materials; REEs and other metals in acid mine drainage (AMD) environments; REEs in coal combustion (fly ash) residues; arsenic (As) from groundwater treatment sediment; and platinum-group elements (PGEs) from sewage sludge. The article also classifies the different techniques in use at each stage of the CRM recovery train, investigates present challenges to each analytical method, and discusses the problem-solving tools used.

Refinement of Jensen Mercer and Hermite–Hadamard-Mercer type inequalities for generalized convex functions on co-ordinates with their computational analysis

In the current study, the Jensen-Mercer inequality is extended to co-ordinated h-convex functions. Additionally, a novel inequality is employed to derive Hermite–Hadamard-Mercer type inequalities for h-convex functions defined on the co-ordinates of a rectangle in the plane. These developments not only reinforce the core tenets of convex analysis but also expand the applicability of Hermite-Hadamard-Mercer type inequalities to generalized convex functions on co-ordinates. This provides valuable tools for data analysis and optimization problem-solving. The practical utility and efficacy of this generalized inequality in real-world scenarios involving co-ordinates are demonstrated through a computational study. Mathematics Subject Classification: 26D10, 26D15, 26A51, 34A08.

Eco-Friendly information literacy in green and sustainable business programs

Background of the study: Eco-friendly information literacy plays an important role in helping to change public behavior towards a more environmentally friendly lifestyle. Purpose: The aim of this research is to examine various aspects of information literacy within the green and sustainable business programs conducted by The Local Enablers (TLE) in an eco-friendly context. Method: The research method employed is qualitative descriptive study. The research subject is based on the involvement of specific parties with the research object to be studied in-depth. The subjects involved in this study consist of several individuals who play roles in the TLE project team during the planning and implementation of green and sustainable business programs. Findings: This research outlines the information literacy process in the green and sustainable business program at TLE according to the Big6 Model theory, from problem formulation to information evaluation. The Big6 Model assists TLE as a problem-solving framework for the information needs of the green and sustainable business program. Each member of the TLE team is able to explain the process of searching for and using information during program development. Conclusion: Eco-friendly information literacy is well-established within TLE, where they actively seek out and implement new environmental information within the TLE ecosystem. In designing and implementing green and sustainable business programs, TLE recognizes the urgency of environmental issues and understands that the process of information literacy is an effective problem-solving tool.

Multimodality imaging of acute gynecological emergencies-a pictorial essay.

Gynecological emergencies can often present with a myriad of non-specific signs and symptoms, posing a diagnostic challenge to the clinician. They can be grossly divided into uterine or adnexal pathologies. Uterine pathologies can be secondary to intracavitary accumulation of blood [like in patients with transverse vaginal septum, Robert's uterus, accessory and cavitated uterine mass, unicornuate uterus with contralateral non-communicating functional horn], bleeding per vaginum [like in patients with retained products of conception, enhanced myometrial vascularity], pyometra [secondary to pelvic inflammatory disease, cervical obstruction secondary to benign and malignant causes] or complications of fibroids [like red degeneration, torsion of subserosal fibroid]. The adnexal pathologies can range from ectopic pregnancy in a urine pregnancy test (UPT) positive patient to haemorrhagic ovarian cyst, ovarian torsion, ruptured dermoid cyst and tubo-ovarian abscess in a UPT negative patient. Multimodality imaging including ultrasound (USG), computed tomography (CT) scan and magnetic resonance imaging (MRI) can narrow down the differentials and help in formulating an accurate diagnosis. The objective of this article is to familiarize the readers with multimodality imaging findings in common as well as uncommon acute gynecological emergencies and provide an algorithmic imaging approach for acute gynecological emergencies. USG is typically used as the first line diagnostic modality in diagnosis of acute gynecological emergencies. CT scan & MRI are helpful as a problem-solving tool in acute gynecological emergencies when USG findings are indeterminate.

From Doubt to Drive: How Instructional Modality and Self-Efficacy Shape Motivation in Remedial Spatial Visualization Courses

Spatial thinking is the foundation for successful problem-solving and critical thinking. Scholars have confirmed that spatial skills are essential tools for problem solving in fields such as engineering, design, physics, and mathematics. Drawing on Bandura’s self-efficacy theory, this study investigates the impact of instructional modality, self-efficacy, and attitudes toward a spatial visualization app on student motivation in the context of an engineering remedial spatial visualization course. Our study focused on undergraduate engineering students from two cohorts with different instructional modalities, one in 2019 and the other in 2020. This study employs a quantitative approach, gathering data through questionnaires to measure student motivation, self-efficacy, attitudes toward the app, computer-aided design (CAD) experience, gender, and instructional modality. Our findings indicate that instructional modality significantly influenced student motivation, with online instruction during the pandemic being associated with lower motivation. Furthermore, significant predictors of student motivation were identified as self-efficacy and attitudes towards the app, independent of instructional modality. The findings provide insights into strategies for educators to implement educational technology in their courses while also remaining committed to nurturing student self-efficacy in online and in-person learning.

Using Progress Feedback to Enhance Treatment Outcomes: A Narrative Review.

We face increasing demand for greater access to effective routine mental health services, including telehealth. However, treatment outcomes in routine clinical practice are only about half the size of those reported in controlled trials. Progress feedback, defined as the ongoing monitoring of patients' treatment response with standardized measures, is an evidence-based practice that continues to be under-utilized in routine care. The aim of the current review is to provide a summary of the current evidence base for the use of progress feedback, its mechanisms of action and considerations for successful implementation. We reviewed ten available meta-analyses, which report small to medium overall effect sizes. The results suggest that adding feedback to a wide range of psychological and psychiatric interventions (ranging from primary care to hospitalization and crisis care) tends to enhance the effectiveness of these interventions. The strongest evidence is for patients with common mental health problems compared to those with very severe disorders. Effect sizes for not-on-track cases, a subgroup of cases that are not progressing well, are found to be somewhat stronger, especially when clinical support tools are added to the feedback. Systematic reviews and recent studies suggest potential mechanisms of action for progress feedback include focusing the clinician's attention, altering clinician expectations, providing new information, and enhancing patient-centered communication. Promising approaches to strengthen progress feedback interventions include advanced systems with signaling technology, clinical problem-solving tools, and a broader spectrum of outcome and progress measures. An overview of methodological and implementation challenges is provided, as well as suggestions for addressing these issues in future studies. We conclude that while feedback has modest effects, it is a small and affordable intervention that can potentially improve outcomes in psychological interventions. Further research into mechanisms of action and effective implementation strategies is needed.

Solution Journalism: A Look at Its Development and Recommendations for Vietnam

The Press: A Powerful Tool for Social Reflection and Problem-Solving. The press, as a mass media outlet, plays a crucial role in mirroring society. Beyond its duty to inform, the press can also contribute to shaping society by proposing solutions to address pressing issues. Solution journalism goes beyond simply informing the public. It carries a mission to enhance understanding, broaden perspectives, and connect with other disciplines to contribute to solving societal problems. In today's world of rampant misinformation, many media outlets have lost public trust, leaving readers feeling anxious and resentful. In response, solution journalism emerged with a mission to restore trust, minimize bias, reduce negativity, and engage audiences in the digital age. This article will provide an overview of the origins and global development of solution journalism, as well as propose practical approaches for Vietnamese journalism in the new context.

The Application of Atomic Spectroscopy Techniques in the Recovery of Critical Raw Materials from Industrial Waste Streams, Part I

This month’s column is a contribution from my daughter Glenna, who recently completed her PhD studies in environmental science from the University of Copenhagen in Denmark. Her article explores the current landscape of global critical raw materials (CRM) trends in research and the applications of atomic spectroscopy (AS), including inductively coupled plasma–mass spectrometry (ICP–MS), inductively coupled plasma–optical emission spectrometry (ICP–OES), and X-ray analytical techniques in their identification of diverse industrial and environmental media, which have been essential in method validation and quantification of CRMs in complex matrices presenting high risks of interference. Some important examples that are presented include rare earth elements (REE) in water leaching purification (WLP) residues that co-occur with radio- active materials, REEs and other metals in acid mine drainage (AMD) environments, REEs in coal combustion (fly ash) residues, arsenic (As) from groundwater treatment sediment, and platinum-group elements (PGE) from sewage sludge. In addition, the article classifies the different techniques in use at each stage of the CRM recovery train, investigate present challenges to each analytical method, and discuss the problem-solving tools used.