Experts In Field Research Articles

Photovoltaic Modules’ Cleaning Method Selection for the MENA Region

Photovoltaic (PV) systems are important components of the global shift towards sustainable energy resources, utilizing solar energy to generate electricity. However, the efficiency and performance of PV systems heavily rely on cleanliness, as dust accumulation can significantly obstruct their effectiveness over time. This study undertook a comprehensive literature review and carried out multiple interviews with experts in the PV systems field to propose a map for selecting the optimal PV cleaning method for PV systems within MENA region. These factors, covering meteorological conditions, the local environment, PV system design, module characteristics, dust deposition attributes, exposure time to dust, and socio-economic and environmental considerations, were employed as criteria in a Multi-Criteria Decision-Making (MCDM) model, specifically, an Analytic Network Process (ANP). The results indicate that partially automated cleaning is the most suitable method for existing utility-scale PV projects in the MENA region. The findings provide robust guidelines for PV system stakeholders, aiding informed decision-making and enhancing the sustainability of PV cleaning processes.

The Perspectives of Community Pharmacists Toward the Name-Based Rationing System During the COVID-19 Pandemic in Taiwan: Cross-Sectional Survey Study.

In Taiwan's public health system, community-based pharmacists are key first-line health care providers due to their high accessibility. During the COVID-19 pandemic, the pharmacists played a central role in the distribution of these supplies through the Name-Based Rationing System (NBRS), during an acute shortage of masks and testing kits, that helped reduce the spread of the disease. The NBRS, an innovative government-guided strategy developed after the COVID-19 outbreak, provided equitable and convenient access to masks and COVID-19 test kits. This study aimed to investigate (1) Taiwanese pharmacists' knowledge, attitude, and practices (KAPs) of COVID-19, with the intention to assess their preparedness for public health emergencies and their capabilities to implement COVID-19-related policies effectively; (2) their perspectives toward the NBRS; and (3) the association between individual's KAP and corresponding perspectives toward the NBRS. A cross-sectional, web-based survey was conducted in 2 major cities in Taiwan, from June 18 to September 11, 2022, during the peak of the COVID-19 pandemic. To gauge community pharmacists' KAP, a 66-question instrument was developed using guidelines from the Taiwanese Centers for Disease Control, the International Pharmaceutical Federation, and the Taiwanese Pharmacist Association. The instrument's internal consistency reliability was ascertained using Cronbach α (0.819), and its content validity was verified by field experts. Overall, 343 Taiwanese community pharmacists were recruited in the study. Among them, 88% (303/343) scored high on knowledge domain questions related to SARS-CoV-2; 58% (201/343) and 39% (136/343) held positive and neutral attitudes toward COVID-19-related policies, respectively; and 77% (266/343) practiced infectious disease prevention measures in compliance with official guidelines. The results demonstrated a high level of competency in pharmacists in a public health crisis. It revealed that factors including age, pharmacy characteristics, and the number of customers were associated with their perceptions and willingness to continuously participate in the NBRS. Overall, the community pharmacists showed greater support for the COVID-19-testing NBRS compared with the mask NBRS, because of the more favorable influence on the revenue and workforce of the pharmacies and the well-being of the pharmacists. Responses also highlighted concerns about rapid government policy changes and supply dynamics, underscoring the importance of effective communication and considering supply availability in facilitating a successful NBRS. The strong KAP of the community pharmacists justified the government leveraging their expertise in Taiwan's COVID-19 response. While community pharmacies have proven to be essential distribution centers through the NBRS, improving community connections, communication with the government, and supply management are recommended to strengthen the system. These potential approaches aim to ensure successful NBRS implementation and better preparedness for future public health emergencies. Overall, pharmacists have demonstrated their integral role in achieving equitable outcomes and their dedication to public health efforts during crises.

Redefining expertise: how proponents and opponents of alternative therapies evaluate expertise

ABSTRACT Traditionally, scientific education is considered a main guarantee for expertise. However, new self-taught therapy providers increasingly seek expert status in health and well-being. These ‘field experts’ sometimes challenge the authority of scientific experts, arousing public debates on expertise and expert qualifications. This expansion of expertise, a popular topic in science and technology studies in the last decades, is driven partly by changes in the media environment and increasing consumer interest. Current research on citizen engagement in science often presumes citizens hold a stakeholder position or (aim to) participate in knowledge production. However, ways of participation in expertise and science are constantly changing, partly due to the evolving media landscape enabling new forms of participation. Online debate around alternative therapies by a well-known Finnish health influencer, Maria Nordin, show that citizens and consumers set competing criteria for health and well-being experts and use online discussions to negotiate these criteria. Proponents of alternative therapies highlight consumers’ responsibility for their health in the freedom of choice frame and describe traditional epistemic authorities as corrupt in the distrust frame. Opponents of alternative therapies promote science-based expertise in explaining and treating symptoms in the biomedical frame and criticize alternative experts for misleading consumers in the hoax frame. Citizens and consumers are increasingly involved in contesting and legitimizing experts and negotiating criteria for expertise and, thus, participating in the expansion of expertise.

AOP report: Development of an adverse outcome pathway for deposition of energy leading to abnormal vascular remodeling.

Cardiovascular diseases (CVDs) are complex, encompassing many types of heart pathophysiologies and associated etiologies. Radiotherapy studieshave shown that fractionated radiation exposure at high doses (3-17 Gy) to the heart increases the incidence of CVD. However, the effects of low doses of radiation on the cardiovascular system or the effects from space travel, where radiation and microgravity are important contributors to damage, are not clearly understood. Herein, the adverse outcome pathway (AOP) framework was applied to develop an AOP to abnormal vascular remodeling from the deposition of energy. Following the creation of a preliminary pathway with the guidance of field experts and authoritative reviews, a scoping review was conducted that informed final key event (KE) selection and evaluation of the Bradford Hill criteria for the KE relationships (KERs). The AOP begins with a molecular initiating event of deposition of energy; ionization events increase oxidative stress, which when persistent concurrently causes the release of pro-inflammatory mediators, suppresses anti-inflammatory mechanisms and alters stress response signaling pathways. These KEs alter nitric oxide levels leading to endothelial dysfunction, and subsequent abnormal vascular remodeling (the adverse outcome). The work identifies evidence needed to strengthen understanding of the causal associations for the KERs, emphasizing where there are knowledge gaps and uncertainties in both qualitative and quantitative understanding. The AOP is anticipated to direct future research to better understand the effects of space on the human body and potentially develop countermeasures to better protect future space travelers.

Neurophysiological Correlates of Expert Knowledge: An Event-Related Potential (ERP) Study about Law-Relevant Versus Law-Irrelevant Terms.

The evaluation of evidence, which frequently takes the form of scientific evidence, necessitates the input of experts in relevant fields. The results are presented as expert opinions or expert evaluations, which are generally accepted as a reliable representation of the facts. A further issue that remains unresolved though is the process of evaluating the expertise and knowledge of an expert in the first instance. In general, earned certificates, grades and other objective criteria are typically regarded as representative documentation to substantiate an expert status. However, there is a possibility that these may not always be sufficiently representative. The goal of the present study was to provide evidence that the neural processing of law-relevant and law-irrelevant terms varies significantly between participants who have received training in the field of law (experts) and those who have not (novices). To this end, changes in brain activity were recorded via electroencephalography (EEG) during visual presentations of terms belonging to five different categories (fake right, democracy, filler word, basic right and rule of law). Event-related potentials (ERPs) were subsequently averaged for each category and subjected to statistical analysis. The results clearly demonstrate that participants trained in law processed fake rights and filler words in a similar manner. Furthermore, both of these conditions elicited different levels of brain activity compared to all law-relevant terms. This was not the case in participants who had not received legal training. The brains of untrained participants processed all five term categories in a strikingly similar manner. In light of prior knowledge regarding language processing, the primary focus was on two distinct electrode locations: one in the left posterior region, and the other in the left frontal region. In both locations, the most prominent differences in brain activity elicited by the aforementioned term categories in law-trained participants occurred approximately 450 milliseconds after stimulus onset. The results were further corroborated by a repeated-measures ANOVA and subsequent t-tests, which also demonstrated the absence of this effect in law-untrained participants. The findings of this study provide empirical evidence that brain activity measurements, in particular ERPs, can be used to distinguish between experts trained in a specific field of expertise and novices in that field. Such findings have the potential to facilitate objective assessments of expertise, enabling comparisons between experts and novices that extend beyond traditional criteria such as qualifications and experience. Instead, individuals can be evaluated based on their cognitive processes, as observed through brain activity.

SISTEM PAKAR DIAGNOSIS PENYAKIT KULIT MENGGUNAKAN METODE FORWARD CHAINING DENGAN PYTHON

Abstract. Skin is the outer layer of the body that functions to protect the inside. Like other parts of the body, the skin is also susceptible to disorders or diseases. Currently, the need for healthy skin is increasing due to pollution, free radicals and hot weather. Increased awareness about the importance of healthy skin encourages people to pay more attention to skincare. However, delays in identifying the type of disease and lack of knowledge about prevention can lead to more severe skin conditions, such as cancer. An expert system is an information system that utilizes knowledge and decision-making methods from experts in a particular field. Therefore, the author developed a system to help people with early diagnosis of skin diseases using the forward chaining method and the Python programming language. This implementation succeeded in creating an expert system capable of diagnosing skin diseases using the forward chaining method and Python. Based on testing each existing rule, the expert system succeeded in providing a diagnosis, description, solution or medicine, as well as a picture of the disease based on the symptoms reported by the user.

An Update on the Six Recommendations from the 2012 IADMS Standard Measures Initiative: Assessing and Reporting Dancer Capacities, Risk Factors, and Injuries.

In 2012, the Standard Measures Consensus Initiative (SMCI) of the International Association for Dance Medicine and Science (IADMS) presented 6 recommendations regarding dance injury surveillance, definitions of injury and exposure, dance-specific screening, risk reduction strategies, and collaborative data management. The aim was to standardize risk factor measurement and injury reporting by researchers in dance medicine and science. Since then, numerous reports on the recording and reporting of injury data in sport and performing arts have been published. IADMS commissioned SMCI to update the 2012 recommendations, a process that involved 3 stages: (1) current field experts were invited to join SMCI, (2) SMCI members reviewed recent and relevant sport and performing arts literature, then drafted, discussed, and revised section updates, (3) IADMS invited individuals representing diverse backgrounds in the IADMS community to critically review drafted updates. The final update serves as a bridge from the 6 recommendations in the 2012 report to the current state of evidence. We continue to encourage use of dance injury surveillance systems and support that surveillance protocols be fit-for-purpose, and that failure to use clear and consistent injury definitions perpetuates a lack of rigor in dance injury research. Based on new evidence, we recommend that some aspects of injury surveillance be self-reported, that the choice of dance exposure measures be dependent on the research question, contextual factors, and type of injury/health problem(s) of interest, and that studies using dance-specific screening articulate specific objectives, validity, and reliability of each protocol. Future studies should focus on the development, implementation, and evaluation of strategies to minimize injury risk to improve consistency and rigor in data collection and research reporting on the health and wellness of dancer populations, thus facilitating a future dance injury consensus statement similar to recent statements published for sports and circus arts.

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs

BackgroundHistopathology is a gold standard for cancer diagnosis. It involves extracting tissue specimens from suspicious areas to prepare a glass slide for a microscopic examination. However, histological tissue processing procedures result in the introduction of artifacts, which are ultimately transferred to the digitized version of glass slides, known as whole slide images (WSIs). Artifacts are diagnostically irrelevant areas and may result in wrong predictions from deep learning (DL) algorithms. Therefore, detecting and excluding artifacts in the computational pathology (CPATH) system is essential for reliable automated diagnosis.MethodsIn this paper, we propose a mixture of experts (MoE) scheme for detecting five notable artifacts, including damaged tissue, blur, folded tissue, air bubbles, and histologically irrelevant blood from WSIs. First, we train independent binary DL models as experts to capture particular artifact morphology. Then, we ensemble their predictions using a fusion mechanism. We apply probabilistic thresholding over the final probability distribution to improve the sensitivity of the MoE. We developed four DL pipelines to evaluate computational and performance trade-offs. These include two MoEs and two multiclass models of state-of-the-art deep convolutional neural networks (DCNNs) and vision transformers (ViTs). These DL pipelines are quantitatively and qualitatively evaluated on external and out-of-distribution (OoD) data to assess generalizability and robustness for artifact detection application.ResultsWe extensively evaluated the proposed MoE and multiclass models. DCNNs-based MoE and ViTs-based MoE schemes outperformed simpler multiclass models and were tested on datasets from different hospitals and cancer types, where MoE using (MobileNet) DCNNs yielded the best results. The proposed MoE yields 86.15 % F1 and 97.93% sensitivity scores on unseen data, retaining less computational cost for inference than MoE using ViTs. This best performance of MoEs comes with relatively higher computational trade-offs than multiclass models. Furthermore, we apply post-processing to create an artifact segmentation mask, a potential artifact-free RoI map, a quality report, and an artifact-refined WSI for further computational analysis. During the qualitative evaluation, field experts assessed the predictive performance of MoEs over OoD WSIs. They rated artifact detection and artifact-free area preservation, where the highest agreement translated to a Cohen Kappa of 0.82, indicating substantial agreement for the overall diagnostic usability of the DCNN-based MoE scheme.ConclusionsThe proposed artifact detection pipeline will not only ensure reliable CPATH predictions but may also provide quality control. In this work, the best-performing pipeline for artifact detection is MoE with DCNNs. Our detailed experiments show that there is always a trade-off between performance and computational complexity, and no straightforward DL solution equally suits all types of data and applications. The code and HistoArtifacts dataset can be found online at Github and Zenodo, respectively.

Determination of Nurses' Knowledge toward Medication used in Critical Care Units

Background: The critical care unit is one of the important units in the hospital that receives critical and dangerous cases. There are medications used in these units, including shock medications. The nurse must have enough knowledge about these medications to reduce the rate of medication error and prevent harm that occurs to patients. Aims: to determine nurses' knowledge of drugs used in critical care units and to find the relationship between nurses' knowledge and their demographic data. Methods: A quantitative descriptive study was carried out in Critical Care Units affiliated with Al-Furat Al-Awsat Hospital, Al-Hakim General Hospital, and Al-Saddr Teaching Hospital in Al-Najaf City/Al-Najaf Al-Ashraf Health Directorate. A non-probability (convenience) sample of 77 nurses was obtained from the above settings, regardless of their characteristics. The study began from December 10th, 2022 to April 1st, 2023. Data were collected through a special questionnaire prepared to collect the data which was divided into two parts. The validity of the questionnaire was acquired by examination of (13) experts in different fields, and correlation was utilized as a statistical approach to evaluate the reliability of the study questionnaire. Data were analyzed using descriptive and inferential statistics. Results: The general assessment of the nurses' knowledge regarding drug in intensive care units was fail with an average score of less than (1.50), as the scores were unsatisfactory concerning medication administration. Conclusion: A study concluded that a nurse's knowledge about the medications used in intensive care units was Low, less than (1.50) overall.

Mass Spectrometry-based proteomics for the masses: Peptide and protein identification in the Hunt laboratory during the 2000’s

There has been a rapid increase in the number of individuals utilizing mass spectrometry (MS)-based proteomics to study complex biological systems and questions since the start of the 2000's. Building off the advancements in ionization and liquid chromatography scientists continued to push towards technology that would enable in-depth analysis of biological specimen. Donald F Hunt and the Hunt laboratory were major contributors to this effort with their work on improving upon existing Fourier Transform MS, development of electron transfer dissociation, and continued work on ion-ion reactions to improve intact protein analysis. Collaboration with other instrumentation laboratories and instrument companies led to the sharing of technology and eventual commercialization providing greater access. Additionally, the Hunt laboratory spread the gospel of mass spectrometry-based proteomics through collaborations that lasted decades with other scientists who were experts in immunology, cellular signaling, epigenetics, and other fascinating fields. This article attempts to highlight the many contributions of Don and the Hunt laboratory to peptide and protein identification since the year 2000.

Evidence-driven indoor air quality improvement: An innovative and interdisciplinary approach to improving indoor air quality.

Indoor air pollution is a recognized emerging threat, claiming millions of lives annually. People are constantly exposed to ambient and indoor air pollution. The latest research shows that people in developed countries spend up to 90% of their time indoors and almost 70% at home. Although impaired IAQ represents a significant health risk, it affects people differently, and specific populations are more vulnerable: children, the elderly, and people with respiratory illnesses are more sensitive to these environmental risks. Despite rather extensive research on IAQ, most of the current understanding about the subject, which includes pollution sources, indoor-outdoor relationships, and ventilation/filtration, is still quite limited, mainly because air quality monitoring in the EU is primarily focused on ambient air quality and regulatory requirements are lacking for indoor environments. Therefore, the EDIAQI project aims to improve guidelines and awareness for advancing the IAQ in Europe and beyond by allowing user-friendly access to information about indoor air pollution exposures, sources, and related risk factors. The solution proposed with EDIAQI consists of conducting a characterization of sources and routes of exposure and dispersion of chemical, biological, and emerging indoor air pollution in multiple cities in the EU. The project will deploy cost-effective/user-friendly monitoring solutions to create new knowledge on sources, exposure routes, and indoor multipollutant body burdens. The EDIAQI project brings together 18 organizations from 11 different European countries that provide interdisciplinary skills and expertise in various fields, including environmental science and technology, medicine, and toxicology, as well as policy design and public engagement.

Preface

Materials are not only the basic elements of people’s daily life, but also indispensable components in high-tech fields such as energy, information, and advanced manufacturing. The unique and versatile characteristics of advanced materials make them a highly desirable group of candidate materials for various engineering applications. A thorough and comprehensive analysis of the challenges associated with advanced materials can pave the way for their cost-effective applications. In this context, the 2024 International Conference on Materials Physics and Composites (ICMPC 2024) undoubtedly provides a valuable communication platform for experts, scholars, researchers and practitioners in the field of materials science around the world. The conference was successfully held in Chengdu, China from May 24th to 26th, 2024 via virtual form, establishing a forum to gather the world’s top wisdom and strength to discuss the latest research results, technological advances and future development trends in materials physics and composites. A number of well-known scholars and experts were invited to deliver keynote speeches, and oral presentations and poster sessions were set up to provide more opportunities for the participants to communicate and demonstrate. These activities not only promoted the collision and integration of academic ideas, but also deepened the friendship and cooperation among the participants. This Proceedings, as one of the important outcomes of ICMPC 2024, contains many excellent papers submitted during the conference. These papers cover a wide range of research directions in materials physics and composites, including but not limited to the Synthesis and Characterization of Novel Materials, Physical Properties and Structural Characterization of Materials, Preparation and Application of Composites, and Mechanical Properties of Materials, etc. Each paper is the result of the authors’ hard work and wisdom, and shows the latest progress and research results in the field of materials science. In the process of reviewing the papers, we strictly followed the academic standards and criteria, and invited well-known scholars and experts in related fields to be the reviewers. After several rounds of meticulous evaluation and screening, we have finally selected the papers with innovative, prospective and practical value for this Proceedings published in IOP Press-Journal of Physics: Conference Series. We believe that the publication of these papers will not only provide useful reference for researchers in the field of materials science, but also further promote the development and progress of materials science Looking ahead, materials science will continue to play an important role in scientific and technological progress and social development. We look forward to further strengthening the communication and cooperation in the field of materials science worldwide through international academic conferences such as ICMPC 2024, and jointly promoting the prosperity of materials science. Finally, we would like to express our heartfelt thanks to all the experts, scholars, researchers, committee members and staff who have participated in ICMPC 2024. It is thanks to your hard work and selfless dedication that this conference has been a great success. We look forward to continuing to work together with you in the future to create a better future for materials science. The Committee of ICMPC 2024 List of Committee Member is available in this pdf.

Marital adjustment and marital self-efficacy levels of married individuals based on former university accommodation

The aim of this study to examine the differentiation status of university graduate married individuals in marital adjustment and marital self-efficacy levels in the context of their experiences of living with or apart from the family during their university years. Quantitative and qualitative data collection methods were used to investigate, and the research was designed in a sequential explanatory design. According to this, quantitative data were collected using data collection tools and subsequently qualitative data were obtained through interviews. The findings of the quantitative data obtained from 324 participants (185 females, 140 males) did not indicate a statistically significant difference in terms of marital compatibility and marital self-efficacy based on their housing situations during their university years. In the findings obtained from the qualitative data, gathered from 20 (10 female and 10 male) participants, was determined that the participant's experiences and several factors that make differences in marital adjustment and self-efficacy levels. It appears that the discrepancy in parallelism between the quantitative and qualitative data outcomes may be due to the fact that these results were presented by separate working groups. Application and study suggestions were presented to researchers and field experts in line with the information obtained from the research findings.

Should we value rain harvesting more in Türkiye for mitigating precipitation extremes

Mitigating precipitation extremes is a major issue due to destructive global warming and climate change. Heavy rainfall and drought have posed a threat to human life and ecology. That said, new strategies and new action plans are needed at local and global levels through needed cooperation from different stakeholders to handle the possible risks associated with precipitation extremes. Turkey has become one of the most vulnerable countries involved in climate change due to its geographical location, rapid urbanization, and deforestation. Many forests have been destroyed to make room for agriculture, animal grazing as well as for manufacturing and construction. The impact has caused complications in landscapes. Precipitation extremes, such as heavy rainfalls and drought, are posing significant threats for many cities in Turkey. In recent years Turkey has faced a large number of extreme events regarding precipitation. In this line, the present study aims to explore the potential benefits of rainwater harvesting (RHH) in mitigating precipitation extremes by overviewing regulatory actions of rainwater harvesting and best practices worldwide. In addition an interview-based survey was conducted with domain experts in the water management field to better understand the current challenges of stormwater management in Turkey and discuss the role of rainwater harvesting against precipitation extremes. The results of the study have shown that Turkey has several problems with infrastructure to mitigate precipitation extremes, such as shortcomings in capacity and old water management systems, unseparated water collection and sewage systems, and lack of green infrastructure. In addition to urbanization, expansion in industry and tourism may cause water unavailability. The study has also indicated that many authorities around the globe try to boost RWH use by stipulating or encouraging RWH through incentives to save a large amount of water by implementing different projects. This research has argued that RWH promises several benefits thanks to its cost-effectiveness and contribution to water storage. Therefore, this study has recommended that policymakers should take immediate action against precipitation extremes by introducing new regulations, such as mandating rainwater harvesting for old buildings, industrial and touristic places. Preparing new guidelines and applying rooftop RWH systems that comply with Building Code requirements should also be considered for the widespread use of rainwater in rural and urban areas.

토픽 모델링을 통한 대학 예비교수자가 인식하는 좋은 수업의 특성 탐색

The study aims to identify the core keywords of ‘good instruction’ as perceived by prospective professors and to explore the the characteristics of ‘good instruction’. A total of 142 teaching philosophy essays were collected from the prospective professors and analyzed using the Latent Dirichlet Allocation (LDA) topic modeling method, resulting in the identification of five main topics. First, the core keywords frequently appearing in good instruction included ‘people’, ‘questions’, and ‘preparation’. Second, the characteristics of good instruction were categorized into five topics: encouraging learner participation through diverse methods, promoting academic achievement through continuous monitoring of learning, supporting the development of expertise in the major field, providing a safe learning environment based on mutual trust, and fostering active communication and interaction. This study is significant as it provides a framework and direction for what constitutes good instruction in higher education based on the teaching philosophies of prospective professors. It also offers practical implications for design and implementation of good instruction.

Chinese expert consensus on cardiac biomarkers for monitoring and management of cardiovascular toxicity in cancer therapy (2024 edition)

In recent years, the treatment of malignant tumors has continually advanced, significantly extending the survival period of cancer patients. Tumors are increasingly present as chronic diseases over the long term, and the cardiovascular toxicity associated with cancer treatment has become increasingly prominent, severely affecting the effective treatment and survival of cancer patients. As a result, cardio-oncology has gained considerable attention as an emerging discipline. However, cardiovascular diseases in cancer patients often have an insidious onset, and early identification and treatment are frequently overlooked. Throughout the course of cancer treatment, it is crucial to reasonably apply cardiac biomarkers for risk stratification, early identification, and screening of cardiovascular diseases in patients, as well as to improve the early diagnosis and treatment levels of cardiovascular diseases in cancer patients. To this end, Cardio-Oncology Group, Chinese Society of Cardiology in conjunction with Cardiovascular Expert Committee, China Medical Doctor Association of Laboratory Medicine, organized experts in relevant fields to compile this consensus. It aims to provide a basis for clinicians to standardize the screening and management of cardiovascular toxicity related to cancer treatment through the reasonable application of cardiac biomarkers.

Actor-networks in sustainable transport transformation: the case of the Catharijnesingel restoration

As cities evolve, navigating the complex interplay between social and technical elements is crucial for achieving sustainable urban development. This paper uses a case-study approach and applies actor-network theory (ANT) to understand the sociotechnical complexities of urban transformation, with a specific focus on transport projects at the municipal level. ANT serves as a qualitative analytical framework to investigate the successful restoration of Catharijnesingel in Utrecht. Interviews with ten field experts have provided valuable insights into the transformation process, revealing the underlying paradigms at play. Specifically, this study used Michel Callon’s ( 1984 ) concept of translation to analyze how agency is enacted in decision-making processes. By focusing this research on actor-networks related to the theme of sustainable transport, the study has identified five transformation mechanisms involved in removing the 20th-century city highway and restoring the original canal, offering valuable lessons for similar projects in various contexts. This study contributes to the existing ANT literature by presenting a robust framework for analyzing actor-networks in transport infrastructure transformation projects, thereby opening new avenues for future research and practical applications in urban planning.

Chinese guidelines on the management of hepatic encephalopathy in cirrhosis (2024)

With the progress of basic and clinical research on hepatic encephalopathy in cirrhosis over the world, Chinese Society of Hepatology of the Chinese Medical Association has invited experts in relevant fields to revise the 2018 "Chinese Guidelines on the Management of Hepatic Encephalopathy in Cirrhosis". New guideline provides the recommendations for clinical diagnosis, treatment, primary and secondary prevention of hepatic encephalopathy in cirrhosis.

Characterization Study of Deep-Level Defect Spatial Distribution, Emission Mechanisms, and Structural Identification

Abstract The characterization of defects in semiconductor materials and devices is crucial for enhancing the performance and reliability of semiconductor products. This tutorial review focuses on Deep Level Transient Spectroscopy (DLTS) as the primary analytical tool, thoroughly discussing its distinct advantages in deep-level defect characterization. However, it is unable to reveal the concentration-depth distribution of deep-level defects, neglects the dependency of carrier emission rates on the electric field, and fails to accurately identify defect structures.
To overcome these limitations, two enhanced DLTS techniques have been developed to extend the capabilities of DLTS. These enhancements include the utilization of graded fill pulse technology to accurately map defect distributions at various depths within devices, facilitating individual defect characterization across different layers of multilayered structures; the application of varying electric field strengths to samples to delve into the intricate physical mechanisms of defects during carrier emission processes; and the adjustment of the duration of electric pulse injection to monitor signal growth trends, deducing the microstructure of defects. The paper integrates research findings from a wide array of field experts, meticulously outlines a description of how to obtain the depth distribution of defect concentration in devices, furnishes quantitative criteria for both the Poole-Frenkel effect and phonon-assisted tunneling mechanisms of carrier emission, and provides specific examples for distinguishing between interface states/bulk defects and point defects/extended defects. This enhances both the theoretical and practical knowledge in this field. The advanced DLTS techniques outlined provide crucial guidance for defect characterization and performance optimization in semiconductor devices with new structures and materials.

ForzaETH Race Stack—Scaled Autonomous Head‐to‐Head Racing on Fully Commercial Off‐the‐Shelf Hardware

ABSTRACTAutonomous racing in robotics combines high‐speed dynamics with the necessity for reliability and real‐time decision‐making. While such racing pushes software and hardware to their limits, many existing full‐system solutions necessitate complex, custom hardware and software, and usually focus on Time‐TrIals rather than full unrestricted Head‐to‐head racing, due to financial and safety constraints. This limits their reproducibility, making advancements and replication feasible mostly for well‐resourced laboratories with comprehensive expertise in mechanical, electrical, and robotics fields. Researchers interested in the autonomy domain but with only partial experience in one of these fields, need to spend significant time with familiarization and integration. The ForzaETH Race Stack addresses this gap by providing an autonomous racing software platform designed for F1TENTH, a 1:10 scaled Head‐to‐Head autonomous racing competition, which simplifies replication by using commercial off‐the‐shelf hardware. This approach enhances the competitive aspect of autonomous racing and provides an accessible platform for research and development in the field. The ForzaETH Race Stack is designed with modularity and operational ease of use in mind, allowing customization and adaptability to various environmental conditions, such as track friction and layout, which is exemplified by the various modularly implemented state estimation and control systems. Capable of handling both Time‐Trials and Head‐to‐Head racing, the stack has demonstrated its effectiveness, robustness, and adaptability in the field by winning the official F1TENTH international competition multiple times. Furthermore, the stack demonstrated its reliability and performance at unprecedented scales, up to over on tracks up to 150 m in length.