Future Development Research Articles

Spintronic Phenomena and Applications in Hybrid Organic–Inorganic Perovskites

AbstractThe spin degree of freedom in hybrid organic–inorganic perovskites (HOIPs) has become a rapidly growing research topic in both HOIPs and spintronics fields due to its fundamental scientific significance and tight relevance with optoelectronics. The flourishing achievements of HOIP spintronics call for a timely review to summarize the key progress and guide future developments. In this review, classical spintronic phenomena based on spin‐orbit coupling (SOC) are discussed, especially Rashba splitting and related applications such as spin‐charge conversion. Owing to the unique chirality‐spin coupling, spintronics in chiral HOIPs are particularly focused on, including chirality‐induced spin selectivity (CISS). Based on the complex band structure and carrier/exciton, spin dynamics is also widely investigated and constitutes an indispensable part of HOIP spintronics. Aside from the three main threads, other spintronic phenomena such as magneto‐optical coupling and device exploration are involved as promising opportunities. Despite the continuous breakthroughs in HOIP spintronics, more efforts are required to expand material systems, explore new physics, and optimize device configurations for enhanced performance and high integration. A deep understanding of spin behaviors in HOIPs will create a new platform beyond conventional optoelectronic and photovoltaic applications.

Effect of College Students' Smartphone Addiction on Academic Achievement: The Mediating Role of Academic Anxiety and Moderating Role of Sense of Academic Control.

College students are the backbone of future national construction and shoulder the hope of the future development of the country and the nation. Smartphone addiction among college students will not only affect their own mental health and learning attitude, but it will also significantly affect their future academic achievement, academic emotion and academic engagement. However, the relationship between academic anxiety and academic control and academic achievement, as well as their internal mechanisms and boundary conditions, has received little attention. The purpose of this study is to examine whether and how smartphone addiction influences academic achievement. This study aims to explore the mechanistic role of academic anxiety and academic control in the influence of smartphone addiction on academic achievement in college students, and hopes that the results can guide education and teaching. A sample of N=2097 participants, this study evaluated the relationship between smartphone addiction, academic control, academic anxiety and academic achievement among college students, and the participants filled in the college students' smartphone addiction scale, academic control questionnaire, academic anxiety questionnaire and grade points. (1) There is a significant negative correlation between smartphone addiction and academic achievement; (2) academic anxiety serves as a complete mediator in the relationship between smartphone addiction and academic achievement; (3) the interaction between smartphone addiction and academic control moderates academic anxiety, with higher levels of academic control associated with a weaker impact of smartphone addiction on academic anxiety; (4) academic control also moderates the mediating role of academic anxiety between smartphone addiction and academic achievement, demonstrating a moderated mediating effect. Smartphone addiction had negative direct effect on academic achievement, as well as completely mediating effect through academic anxiety. Academic control moderated the relationship between of smartphone addiction and academic anxiety. This study enriches the research on the relationship between smartphone addiction and academic achievement in theory, and has important guiding significance for education and teaching in practice.

PREFACE: The 6th International Conference in The Era of Uncertainty (ICPEU)

The honourable Vice Dean of General Affairs at Faculty of Engineering: Ir. Ismu Rini Dwi Ari, MT., Ph.D, Department Head of Regional and Urban Planning, Dr. Eng. I Nyoman Suluh Wijaya, ST., MT., the honourable keynote speakers – Dr. Joe Ravetz from University of Manchester – United Kingdom, Dr. Hebe Verrest from the Universiteit van Amsterdam – Netherlands, Prof. Kiyoshi Kobayashi drom Kyoto University – Japan, Le Minh NGO, Ph.D from Ton Duc Thang University – Vietnam, Gunawan Prayitno from Universitas Brawijaya – Indonesia, and ladies and gentlemen.Assalamualaikum Wr Wb,I would like to thank everyone in this room today for your enthusiasm and participation in the 6th International Conference on Planning in the Era of Uncertainty at Universitas Brawijaya.ICPEU is a biennial event that we have organized since 2013. We have focused on the discussion of sustainable development since the very beginning, as we truly believe that this topic is very relevant to what we, in the field of planning, face at the moment and in the future.In 2013 we started off the discussion with the big question, does planning theory can be applied thoroughly in practice? It was a very memorable discussion as we explored many interdisciplinary problems and solutions in planning. We then developed our topic to sustainable development in 2015 as we considered this as an underlying topic for all relevant problems and solutions. Again, the discussion was remarkable. Papers from different countries participated at the event. In 2017, we started publishing our papers on IOP Proceedings, which is a Scopus-indexed form of publication. We published 67 papers from different universities in different countries. And we believe that this event at this moment, will be more successful than our predecessors. The topic In the Repertoire of Desa, Kutha, and the Conversation in Between is yet another situation that we all can relate to. A problem that requires collective attention to achieve equality and sustainability in the future development of village and city.Looking back at the events that we have organized so far, we learned that the pursuit of achieving sustainability has attracted ever-growing global interest. We have received papers from South Africa, Thailand, Vietnam, Bangladesh, and Indonesia discussing and showcasing multi-level efforts in achieving sustainable development from different perspectives. In short, the response that we received has been overwhelmingly positive.I would like to thank our dearly sponsors, Universitas Brawijaya, the Faculty of Engineering, BRI, PLN, PT. SMI, By.U, and Linggar Prabangka for their support that have allowed us to organize this event. We received a number of 82 extended abstracts for this event, and unfortunately, we could only accept a number of 51 selected ones to be published on our upcoming IOP Publishing, Evergreen, IJPD UNDIP, JSED WIDYAGAMA, TATALOKA UNDIP, REGION UNS, TAKODA UB, CIVENSE UB, and ISBN Proceeding. Therefore, I would like to congratulate all authors that have made it this far.To close this speech, I would like to once again welcome you to Malang, I wish you a wonderful two-day seminar, and I look forward to learning new insights. Thank you very much.Wassalamualaikum Wr Wb.List of Committees are available in this pdf.

Temporal Stability of Management Zone Patterns: Case Study with Contact and Non-Contact Soil Electrical Conductivity Sensors in Dryland Pastures.

Precision agriculture (PA) intends to validate technological tools that capture soil and crop spatial variability, which constitute the basis for the establishment of differentiated management zones (MZs). Soil apparent electrical conductivity (ECa) sensors are commonly used to survey soil spatial variability. It is essential for surveys to have temporal stability to ensure correct medium- and long-term decisions. The aim of this study was to assess the temporal stability of MZ patterns using different types of ECa sensors, namely an ECa contact-type sensor (Veris 2000 XA, Veris Technologies, Salina, KS, USA) and an electromagnetic induction sensor (EM-38, Geonics Ltd., Mississauga, ON, Canada). These sensors were used in four fields of dryland pastures in the Alentejo region of Portugal. The first survey was carried out in October 2018, and the second was carried out in September 2020. Data processing involved synchronizing the geographic coordinates obtained using the two types of sensors in each location and establishing MZs based on a geostatistical analysis of elevation and ECa data. Although the basic technologies have different principles (contact versus non-contact sensors), the surveys were carried out at different soil moisture conditions and were temporarily separated (about 2 years); the ECa measurements showed statistically significant correlations in all experimental fields (correlation coefficients between 0.449 and 0.618), which were reflected in the spatially stable patterns of the MZ maps (averaging 52% of the total area across the four experimental fields). These results provide perspectives for future developments, which will need to occur in the creation of algorithms that allow the spatial variability and temporal stability of ECa to be validated through smart soil sampling and analysis to generate recommendations for sustained soil amendment or fertilization.

The birth of zinc anode-based electrochromic devices

Since the discovery of electrochemical coloration phenomenon, electrochromic devices capable of monitoring transmittance, reflectance, and absorption at designated wavelengths have embraced great achievements. The marriage of electrochemistry and optical modulation has infused fascinating properties in electrochromic devices, which find applications in thermal management, display, smart windows, and camouflage. Inspired by the multipronged advancements in electrochemical devices, the incorporation of multivalent metal ions having rich electrochemistry into electrochromic devices is bloomed in recent years. Zinc, distinguished by its high crustal abundance, suitable standard redox potential, and inherent safety, has facilitated the assembly of highly efficient electrochromic devices. Zinc anode-based electrochromic devices with dual-band (visible and near-infrared) tunability, energy retrieval functions, multi-color options, multiple working modes (transmittance mode and reflectance mode), and scalability have been prominently showcased. Here in this review, the birth of zinc anode-based electrochromic devices will be systematically narrated, starting from the discovery of electrochromic phenomenon, to the evolution of electrochromic devices, and to the latest achievements in zinc anode-based electrochromic devices. Additionally, this review delves into the future development trends and perspectives of zinc anode-based electrochromic devices. This review serves as a handbook, which summarizes the history of electrochromism, introduces the physics behind it, highlights the development in zinc anode-based electrochromic devices, and aims to inspire future endeavors into this field, particularly those focused on developing energy-efficient electrochromic devices.

Study of lithium transport in Li2O component of the solid electrolyte interphase in lithium-ion batteries

In lithium-ion batteries (LIBs), as a promising energy storage device, materials with fast lithium (Li) transport are required for high-power applications such as electric vehicles. Thus, a deeper understanding of Li transport in components of LIBs is crucial for improving their rate capability. In this study, the Li transport in lithium oxide (Li2O), as one of the key components of the solid electrolyte interphase (SEI) layer, was examined by a multiscale computational approach ranging from density functional theory (DFT) to Monte Carlo simulations. The DFT calculations were used to investigate the recombination of Frenkel pairs, their first-principles total energies, and the Li diffusion mechanisms. The effect of atomic configurations on both first-principles total energies and diffusion barrier energies was formulated by periodic and local cluster expansions. These formalisms were then incorporated into the Monte Carlo and Kinetic Monte Carlo (KMC) simulations to calculate the diffusion coefficient of Li. Our calculations revealed that the vacancy-mediated jump along the 〈100〉 direction in the antifluorite structure of Li2O possesses the lowest barrier energy compared to other diffusion mechanisms. The KMC simulations indicated that the diffusion coefficient of Li better converged with the direct experimental measurement when the recombination of Frenkel pairs was integrated into the simulations. At a temperature of 300 K, the KMC simulation yielded a Li diffusion coefficient of 3.8×10-12cm2/s in Li2O. This is only one order of magnitude larger than indirect experimental measurement, suggesting the accuracy of our formalism. Thus, our formalism for studying Li transport in Li2O will pave the path to a rational design of inorganic SEI in the future development of LIBs.

More Haptic Aircraft

This paper presents a comprehensive review of haptic feedback in light aircraft control. It provides an overview of the results and experiences gained from a previous research project focused on the design and testing of pilot haptic feedback hardware. The objective of this paper is to outline a roadmap for the future development of “More Haptic Aircraft,” incorporating principles of human-centred design into light aircraft cockpits equipped with the presented haptic feedback device. The roadmap provides general requirements for pilot-aircraft interaction and highlights three specific levels of functions. These functions aim to reduce the pilot’s workload and enhance situational awareness.

Biogenic amines detection in meat and meat products: the mechanisms, applications, and future trends

Biogenic amine is one of the main categories of hazardous compounds in meat and meat products, making its detection methods vital for the assurance of edible safety. In this sense, many biogenic amine detection techniques such as chromatographic, electrophoretic, and electrochemical methods have been developed, which play an irreplaceable role in ensuring the safety of meat and meat products. Due to the increasing demand for fast and on-site detection techniques, visual detection methods have been gradually developed compared with non-visual methods such as chromatography and electrophoresis. Herein, we comprehensively review the mechanism and the latest progress of these biogenic amine detection methods; besides, we put forward the prospects for the future development of biogenic amine detection techniques, with a view to providing support for the establishment of more accurate and efficient detection, prevention and control strategies of biogenic amines.

Engineering a lithium silicate-based artificial solid electrolyte interphase for enhanced rechargeable lithium metal batteries

The main motivation for replacing lithium-ion batteries with lithium metal batteries is to achieve a higher energy density by using the metallic lithium anode. One of the major challenges with rechargeable lithium metal batteries is the formation of lithium dendrites and dead lithium during repeated cycling. Another challenge is the formation of the unstable solid electrolyte interphase (SEI) on the surface of the lithium metal electrode, which can reduce battery efficiency and cycle life. In the present work, two different lithium silicates (Li2Si2O5 and Li2SiO3) are successfully synthesized and implemented as an artificial SEI layer via a simple dry coating method. The lithium silicate coating acts as a protective barrier that prevents direct contact between the lithium metal and the electrolyte, which can cause undesirable side reactions and reduce the efficiency and lifetime of the battery. The lithium silicate artificial SEI layer improves the stability of lithium metal batteries by reducing unwanted surface reactions, optimizing ion transport kinetics, and protecting the lithium metal anode from mechanical deformation and unstable SEI formation during extended cycling. This laminated lithium anode structure can be an effective design for the future development of rechargeable lithium metal batteries.

Review on Structural Adjustment Strategies of Titanium‐Based Metal Oxide Dimensionally Stable Anodes in Electrochemical Advanced Oxidation Technology

Emerging organic pollutants and refractory pollutants in water bodies have caused severe harm to the ecological environment and human health. Electrochemical advanced oxidation processes (EAOPs) are currently one of the most effective oxidation methods to deal with refractory organic pollutants. Electrode materials serve as the most critical component in influencing the EAOP performance. Dimensionally stable anodes (DSAs) have the advantages of dimensional stability, structural diversity, chemical stability, low oxygen evolution potential and long service life, etc. Herein, several types of Ti‐based metal oxide DSAs (Ti/MOx DSAs) commonly used in EAOPs in the past 5 years, including Ti/IrO2, Ti/RuO2, Ti/PbO2, Ti/Sb–SnO2, and Ti/TiO2, are introduced. The modification methods including metal doping, composition adjustment, nanostructure construction, introduction of intermediate layers, compositing with carbon materials, and formation of 3D structures as well as the applications of these modified Ti‐based DSAs in EAOP for the rapid degradation of various organic pollutants are summarized and their advantages and current shortcomings of electrodes are pointed out. Finally, the Ti‐based DSA's current limitations and future development prospects are concluded.

A study on attention-based deep learning architecture model for image captioning

<span lang="EN-US">Image captioning has been widely studied due to its ability in a visual scene understanding. Automatic visual scene understanding is useful for remote monitoring system and visually impaired people. Attention-based models, including transformer, are the current state-of-the-art architectures used in developing image captioning model. This study examines the works in the development of image captioning model, especially models that are developed based on attention mechanism. The architecture, the dataset, and the evaluation metrics analysis are done to the collected works. A general flow of image captioning model development is also presented. The literature search process carried out on Google Scholar. There are 36 literatures used in this study, including a specific image captioning development in Indonesian. It is done to take one point of view of image captioning development in a low resource language. Studies using transformer model generally achieves higher evaluation metric scores. In our finding, the highest evaluation scores on the consensus-based image description evaluation (CIDEr) c5 and c40 metrics are 138.5 and 140.5 respectively. This study gives a baseline on future development of image captioning model and brings the general concept of the image captioning development process including a picture of the development in low resource language.</span>

Multifunctional agents based on 3-dicycanovinylindan-1-one acceptor: Molecular design and phototheranostic application.

Phototherapy, including photodynamic therapy (PDT) and photothermal therapy (PTT), has garnered considerable attention in recent years, owing to its precise spatiotemporal accuracy with minimal side effects. Recent research reveals that the combination of PDT and PTT exhibits a remarkable anti-tumor efficacy compared to PDT or PTT alone, which has put forward the new requirements of multifunctional phototherapy agents with both high photosensitization and photothermal conversion efficiencies. Among the newly developed multifunctional agents, the ones with one or two 3-dicycanovinylindan-1-one (IC) moieties as the acceptors attract much more attention, due to their long-wavelength excitation and emission, as well as high phototherapy efficacies. Therefore, in this review, the latest advancement of multifunctional agents based on IC acceptor is summarized. Especially, we focus on the structure-property relationships of the agents, as well as their biomedical application in anti-tumor therapy or image-guided therapy. Our perspective on the further future development of this field is also discussed to conclude.

Alterations in zonal distribution and plasma membrane localization of hepatocyte bile acid transporters in patients with NAFLD.

NAFLD is highly prevalent with limited treatment options. Bile acids (BAs) increase in the systemic circulation and liver during NAFLD progression. Changes in plasma membrane localization and zonal distribution of BA transporters can influence transport function and BA homeostasis. However, a thorough characterization of how NAFLD influences these factors is currently lacking. This study aimed to evaluate the impact of NAFLD and the accompanying histologic features on the functional capacity of key hepatocyte BA transporters across zonal regions in human liver biopsies. A novel machine learning image classification approach was used to quantify relative zonal abundance and plasma membrane localization of BA transporters (bile salt export pump [BSEP], sodium-taurocholate cotransporting polypeptide, organic anion transporting polypeptide [OATP] 1B1 and OATP1B3) in non-diseased (n = 10), NAFL (n = 9), and NASH (n = 11) liver biopsies. Based on these data, membrane-localized zonal abundance (MZA) measures were developed to estimate transporter functional capacity. NAFLD diagnosis and histologic scoring were associated with changes in transporter membrane localization and zonation. Increased periportal BSEPMZA (mean proportional difference compared to non-diseased liver of 0.090) and decreased pericentral BSEPMZA (-0.065) were observed with NASH and also in biopsies with higher histologic scores. Compared to Non-diseased Liver, periportal OATP1B3MZA was increased in NAFL (0.041) and NASH (0.047). Grade 2 steatosis (mean proportional difference of 0.043 when compared to grade 0) and grade 1 lobular inflammation (0.043) were associated with increased periportal OATP1B3MZA. These findings provide novel mechanistic insight into specific transporter alterations that impact BA homeostasis in NAFLD. Changes in BSEPMZA likely contribute to altered BA disposition and pericentral microcholestasis previously reported in some patients with NAFLD. BSEPMZA assessment could inform future development and optimization of NASH-related pharmacotherapies.

An exploration of the efficacy of mental health and wellbeing education initiatives in secondary schools: triangulation of student and teacher perspectives

ABSTRACT Objectives Schools invest substantial time and money in support of mental health and wellbeing education for their students. Approaches vary, with minimal guidance available regarding most efficacious methods to engage and support students. Understanding the experience and perspectives of students and educators in this area can assist to clarify mental health needs of secondary school students and guide future development of effective methods to target them. Methods Interviews with 21 senior secondary school students from four Australian schools captured perspectives about the influences on their mental health and wellbeing over their secondary school journey. A further eight interviews with school staff with responsibility for wellbeing education were conducted to identify similarities and disparities between school aims and student experience. Results A reflexive thematic analysis of the data generated three main themes. Interviews conducted indicated consistency between staff and students’ perspectives that schools need to commit to staff training, cultivate interpersonal connections and make wellbeing education for adolescents more engaging. Conclusions Mental health and wellbeing approaches should be nuanced for the specific needs of each school’s context. Educating teachers to utilise a school-wide wellbeing framework to customise student learning can increase student engagement through personal reflection and small group discussion to reinforce key learnings.

Deep neural networks optimization for resource-constrained environments: techniques and models

This paper aims to present a comprehensive review of advanced techniques and models with a specific focus on deep neural network (DNN) for resource-constrained environments (RCE). The paper contributes by highlighting the RCE devices, analyzing challenges, reviewing a broad range of optimization techniques and DNN models, and offering a comparative assessment. The findings provide potential optimization techniques and recommend a baseline model for future development. It encompasses a broad range of DNN optimization techniques, including network pruning, weight quantization, knowledge distillation, depthwise separable convolution, residual connections, factorization, dense connections, and compound scaling. Moreover, the review analyzes the established optimization models which utilizes the above optimization techniques. A comprehensive analysis is conducted for each technique and model, considering its specific attributes, usability, strengths, and limitations in the context of effective deployment in RCEs. The review also presents a comparative assessment of advanced DNN models’ deployment for image classification, employing key evaluation metrics such as accuracy and efficiency factors like memory and inference time. The article concludes with the finding that combining depthwise separable convolution, weight quantization, and pruning represents potential optimization techniques, while also recommending EfficientNetB1 as a baseline model for the future development of optimization models in RCE image classification.<p> </p>

An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process

Artificial intelligence (AI) has found widespread application across diverse domains, including residential life and product manufacturing. Municipal solid waste incineration (MSWI) represents a significant avenue for realizing waste-to-energy (WTE) objectives, emphasizing resource reuse and sustainability. Theoretically, AI holds the potential to facilitate optimal control of the MSWI process in terms of achieving minimal pollution emissions and maximal energy efficiency. However, a noticeable shortage exists in the current research of the review literature concerning AI in the field of WTE, particularly MSWI, hindering a focused understanding of future development directions. Consequently, this study conducts an exhaustive survey of AI applications for optimal control, categorizing them into four fundamental aspects: modeling, control, optimization, and maintenance. Timeline diagrams depicting the evolution of AI technologies in the MSWI process are presented to offer an intuitive visual representation. Each category undergoes meticulous classification and description, elucidating the shortcomings and challenges inherent in current research. Furthermore, the study articulates the future development trajectory of AI applications within the four fundamental categories, underscoring the contribution it makes to the field of MSWI and WTE.

Deep learning-based lung nodule detection: a review

CT scan acquisition is fast and cost-effective and has become the main lung imaging tool. However, the increase in large numbers of CT scans has placed a heavy burden on radiologists; therefore, automated lung nodule detection techniques are needed to reduce the workload of radiologists and computer-aided detection systems are proposed for further accurate diagnosis of the condition. This review provides a comprehensive overview of recent automated lung nodule detection techniques and challenges, etc., as well as a detailed overview and discussion of current research gaps, future developments, and research trends. Relevant articles published in databases such as IEEE Xplore, Science Direct, PubMed, and Web of Science cover research algorithms published from 2014 to 2023, mainly discussing deep learning-based techniques. The schemes presented in these articles, the databases used, the experimental results, and the performance of the algorithms are compared and discussed. This work aims to introduce researchers and readers to the latest techniques and their advances in the detection of lung nodules in the last decade, which will help researchers and radiologists to further understand the latest techniques in this field.

The Role of Digital Media on Students’ Management in Higher Vocational College

This study uses a combination of empirical analysis to conduct a comprehensive analysis of the role of digital media and student management in higher vocational colleges. The results show that the current application status of digital media in student management shows extensive and profound impact. With the rapid development of information technology, digital media has become an important tool for student management in higher vocational colleges, covering many aspects such as course management, attendance management, and student information inquiry, greatly improving management efficiency and convenience. By establishing a digital system, the school has achieved comprehensive coverage of student information management and online education. At the same time, digital media also plays an important role in students' social interaction and has become an indispensable part of students' daily lives. However, digital media applications also bring some problems. Information overload and distraction can make it difficult for students to focus, while security risks threaten student privacy. Solving these problems requires schools to take effective measures, such as improving information literacy and security awareness, and establishing a complete information security system. The impact of digital media on student development is complex and diverse. Its advantage lies in providing a broad learning space and diversified learning methods to promote students' communication and socialization. However, negative effects such as information overload and Internet addiction cannot be ignored. In order to better guide students to use digital media, schools and families need to strengthen digital media literacy education, pay attention to students' mental health, and strengthen network security. In student management, the advantages of digital media are mainly reflected in improving efficiency and interactivity, and promoting management innovation and development. However, the popularization of digital media needs to face issues such as technical and device support, security and privacy protection. By strengthening measures such as construction, training, supervision and management, schools can better leverage the advantages of digital media and improve management efficiency and service quality. Going forward, digital media will play an even more important role in student management. Intelligent management, expanding management fields and promoting student self-management will be the direction of future development. However, the security and popularity of digital media remain challenges that need to be addressed. By strengthening comprehensive measures such as construction, training, supervision and management, schools can better guide the future development of digital media in student management, provide students with more intelligent, personalized and efficient services, and promote their all-round development.

Modification Strategies of High-Energy Li-Rich Mn-Based Cathodes for Li-Ion Batteries: A Review.

Li-rich manganese-based oxide (LRMO) cathode materials are considered to be one of the most promising candidates for next-generation lithium-ion batteries (LIBs) because of their high specific capacity (250 mAh g-1) and low cost. However, the inevitable irreversible structural transformation during cycling leads to large irreversible capacity loss, poor rate performance, energy decay, voltage decay, etc. Based on the recent research into LRMO for LIBs, this review highlights the research progress of LRMO in terms of crystal structure, charging/discharging mechanism investigations, and the prospects of the solution of current key problems. Meanwhile, this review summarizes the specific modification strategies and their merits and demerits, i.e., surface coating, elemental doping, micro/nano structural design, introduction of high entropy, etc. Further, the future development trend and business prospect of LRMO are presented and discussed, which may inspire researchers to create more opportunities and new ideas for the future development of LRMO for LIBs with high energy density and an extended lifespan.

The Relation Between Personal Values and Gratitude: Does It Differ Between Young Adults From Divorced Families and Married Families?

Trait gratitude is an individual characteristic that makes people aware of the positive aspects of their lives and situations, and it represents a significant resource when facing critical life transitions. However, only a few studies have investigated which factors might promote gratitude. This study sought to fill this gap by analyzing the relationship between personal values and trait gratitude in a group of young adults with divorced parents compared to peers with married parents. One hundred and twenty-three Italian young adults (44.7% from divorced families) completed the Portrait Values Questionnaire-21 and the Gratitude Teen Survey. Results showed that conservation and self-transcendence values were positively related to gratitude for both groups. In contrast, self-enhancement values were positively associated with gratitude only among young adults with divorced parents. Limitations of the study, practical implications, and future research developments are discussed.