bluuebunny/crossref_metadata_2025 huggingface dataset:
THE IMPACT OF HORIZONTAL AND VERTICAL SYSTEM INTEGRATION ON QUALITY 4.0
Authors: Jovičić Aleksandra , Savković Marija , Stefanović Miladin , Mačužić Ivan , Nikolić Nastasija
Published: December 2023

The era of Industry 4.0 insists on the necessity of understanding the connection between the strategy of horizontal and vertical system integration with Quality 4.0. A key segment for the effective implementation of Quality 4.0 is the creation of an organizational system that combines vertical and horizontal integration. In the paper, an overview of the literature related to Quality 4.0 and the mentioned integration in Industry 4.0 was given, and the importance of their understanding in Industry 4.0 was pointed out. Also, the focus of the work is on pointing out advantages, challenges and presenting solutions to overcome these challenges. The motive of writing the paper lies in the fact that there is no paper in which these concepts are combined. The aim of the paper is to consolidate in one place a review of the available literature from these areas in order to achieve progress towards Industry 4.0.
CLIMATE CHANGE, POLICY DEVELOPMENT, AND GOVERNANCE: A SPECIAL FOCUS ON INDIA
Authors: Hazarika Anurag , Madhukullya Samikshya , Gogoi Konwar Juri
Published: December 2023

With a focus on the Indian context, this paper explores the complex relationship between governance, policy creation, and climate change. Our study uses a mixed-methods approach and starts with a thorough analysis of the body of knowledge on India's governance systems, climate change policy, and related topics. We gather primary data from key stakeholders through surveys and interviews with them, as well as through secondary sources like academic journals and government papers, including representatives of civil society and environmental experts. The report examines India's climate change policies in-depth, evaluating their coherence, efficacy, and compliance with international obligations. In addition, we conduct case studies in several Indian states to find best practices and areas where policy implementation needs to be improved. In order to identify important lessons and methods that may be applied to India, comparative study of international experiences in climate governance is helpful. Engagement of stakeholders is a key element that offers priceless insights into the difficulties and opportunities involved in developing and implementing climate policies. To forecast the potential impact of various policy options on India's climate resilience and emissions reduction ambitions, scenario building exercises are used. By utilizing this reliable methodology, our research aims to advance knowledge of climate governance and policy formulation while providing detailed suggestions for improving India's climate governance framework and hastening the country's transition to sustainability and climate change resilience.
PATIENTS’ PERSPECTIVE OF PATIENT-CENTRED CARE IN SELECTED HEALTH FACILITIES IN SOUTHERN GHANA
Authors: Adomah-Afari Augustine , Kofi Kanku Frank
Published: December 2023

This research assessed patients’ perspective of factors associated with patient-centred care in selected health facilities in the Volta Region of southern Ghana. A descriptive hospital-based cross-sectional survey design was used where a structured questionnaire was administered to 403 patient participants. Regression analysis was conducted and the results reported in proportions, frequencies and odds ratios. The level of patient-centred care practice among patients in the selected health facilities was 56.8%. Patient-centred care was influenced by age (aOR=1.13; CI:1.02-1.25), educational status (aOR=0.02; CI:0.001-0.63), road network (aOR=0.09; CI:0.02-0.63) and cultural barriers (aOR=15.22; CI:1.65-139.99). Individual patient and community system factors including cultural beliefs have the potential of influencing patient-centred care satisfaction with the quality of care delivery in health facilities. Thus, there is a need for the government to address the problem of deplorable road networks in the communities.
Delik Samen Leven Dalam KUHP Baru Perspektif Fikih
Authors: Multazam Syauqi , Mujab M.
Published: December 2023

The creation of the law on the offense of the samen leven (cohabitation) in the new Criminal Code has reaped the pros and cons of society. Some support it, while others reject it on the grounds that the government is taking too much care of its citizens' privacy rights. Through this writing, the author wishes to analyze the creation of cohabitation offense laws from an Islamic perspective using a tool called fiqh. The research method used in this study was library research. The primary arguments in formulating Islamic views through this research are (1) Al-Qur'an, (2) Al-Hadith, (3) rules of jurisprudence and (4) at-turāṡ (yellow book). These primary postulates were then managed using a tafsīr (interpretation) approach to formulate the final conclusion. As a result of this research, the author found that from an Islamic perspective, the adoption of cohabitation as a law is in line with Islamic norms. However, jurisprudence does not necessarily agree with the content of articles of the law on cohabitation. Some articles are not in accordance with Islamic values. Therefore, in this case, the governent has an obligation to improve the content of the Samen Leven (cohabitation) Law.
Kreativitas Pembelajaran Bahasa Inggris dengan Permainan Tebak Kata
Authors: Awwalia Luthfi
Published: December 2023

Bahasa Inggris perlu dipelajari sebagai salah satu bahasa internasional saat ini. Namun, terdapat kendala dalam mempelajarinya, utamanya dalam membedakan kelas kata. Kemudian, untuk mengatasinya, perlu adanya inovasi dan kreativitas dalam pembelajaran seperti menggunakan permainan didalam kelas. Penelitian ini bertujuan untuk melihat dampak dari permainan dalam peningkatan kemampuan membedakan kelas kata. Terdapat 22 partisipan dalam penelitian ini. Mereka adalah mahasiswa semester awal di salah satu Universitas negeri di Madura. Peneliti menyebar angket sebagai data awal, kemudian melakukan pretest dan posttest. Penelitian dilakukan dalam satu kali pertemuan dan menunjukkan hasil yang signifikan dari pretest dan posttest. Hasilnya, permainan yang diimplementasikan ternyata memberikan kenaikan 40% terhadap kemampuan mahasiswa dalam membedakan kelas kata. Mahasiswa yang merupakan andragogy learner perlu difasilitasi dengan metode pembelajaran yang lebih bervariatif seperti permainan kata.
Ragam Strategi Pengenalan Pendidikan Seks Bagi Anak Usia Dini
Authors: Setyowahyudi Rendy , Leda Rosalia
Published: December 2023

Pendidikan seks pada anak usia dini perlu diperkenalkan dengan strategi yang tepat. Tujuan dari penelitian ini adalah untuk mengetahui apasajakah startegi yang bisa digunakan untuk mengenalkan pendidikan seks pada anak usia dini. Jenis penelitian yang digunakan adalah jenis penelitian kepustakaan  (library research). Sumber data yang didapatkan dari 11 artikel jurnal. Teknik analisis data menggunakan analisis isi (content analysis) dengan cara menganalisis isi pesan suatu data. Penelitian dilaksanakan dalam waktu 2 bulan yaitu bulan mulai bulan April sampai Mei 2023. Pada bulan April di fokuskan untuk mengumpulkan sumber-sumber data yang mendukung terutama tentang strategi pengenalan pendidikan seks pada anak usia dini. Kemudian pada bulan Mei di fokuskan untuk menyusun data dalam bentuk hasil penelitian dari berbagai sumber yang telah di dapatkan. Hasil yang didapatkan adalah terdapat lima strategi yang bisa digunakan untuk mengenalkan pendidikan seks pada anak usia dini yaitu penggunaan buku cerita bergambar, program underwear rules, berbagai permainan, berbagai metode pembelajaran dan toilet training.
Intensive Longitudinal Methods for Psychology using R
Authors: Koval Peter , Kalokerinos Elise
Published: December 2023

This seminar introduces intensive longitudinal methods (experience sampling, ecological momentary assessment, diary methods, ambulatory assessment), which involve dense repeated sampling of psychological processes in daily life. Topics include intensive longitudinal study design (Day 1), followed by basic analyses and multilevel modeling of these data using R (Day 2). An official Instats certificate of completion is provided at the conclusion of the seminar.
Meta-Analytic SEM in R
Authors: Cheung Mike
Published: December 2023

This seminar introduces the logic of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R. Meta-analytic SEM is an incredibly powerful tool for hypothesis and theory testing, relying on pooled correlation matrices from primary studies, and this seminar will teach you the basics of MASEM and how to apply it in your own research, using many hands-on examples with Professor Cheung's R package for MASEM. When purchasing the MASEM seminar you will be freely enrolled in two on-demand seminars that introduce the logic of path analysis and CFA/SEM in R by Professor Zyphur, offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Panel Data Models and Methods with Stata
Authors: Marchese Malvina
Published: December 2023

This seminar is designed to introduce you to the analysis of panel data, covering a mix of theory and hands-on applications. The seminar will introduce you to static and dynamic panel data models, offering an in-depth discussion of their use in practical applications and their estimation and interpretation under different ways of treating individual and time heterogeneity – differences in effects across people and over time. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Beginning with SEM in Stata: Path Analysis
Authors: Zyphur Michael
Published: December 2023

This seminar introduces the Stata ‘sem’ modeling framework and explores topics including interactions (moderation), indirect effects (mediation), conditional indirect effects (moderated mediation), and instrumental variable methods in a path analytic framework. Bootstrapping and Bayesian analysis methods will also be covered, along with plotting methods for hypothesis testing and displaying results. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Path Analysis with Interactions and Indirect Effects in Mplus
Authors: Zhang Zhen
Published: December 2023

This seminar introduces the Mplus modeling framework and explores topics including interactions (moderation), indirect effects (mediation), conditional indirect effects (moderated mediation), and instrumental variable methods in a path analytic framework. Bootstrapping and plotting methods are explored for hypothesis testing and displaying results.
From CFA to SEM with Moderated Mediation in R
Authors: Zyphur Michael
Published: December 2023

This seminar introduces the Lavaan latent variable modeling framework and explores measurement models including bi-factor and hierarchical factor models and scale reliability in CFA, as well as SEMs with latent variable interactions (moderation), indirect effects (mediation), latent conditional indirect effects (moderated mediation), and latent instrumental variable methods in an SEM framework (IV-SEM). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Multilevel Modeling in R: Basic and Advanced Methods
Authors: Lang Jonas
Published: December 2023

The seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graphical methods to examine model assumptions, and (4) useful extensions of the standard model to test phenomena such as cross-classified multilevel models and consensus emergence in groups. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
Meta-Analytic SEM in R + 2 Free Seminars
Authors: Cheung Mike
Published: December 2023

This seminar introduces the logic of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R. Meta-analytic structural equation modeling (MASEM) is an incredibly powerful tool for hypothesis and theory testing, relying on pooled correlation matrices from primary studies, and this seminar will teach you the basics of MASEM and how to apply it in your own research, using many hands-on examples with Professor Cheung's R package for MASEM. When purchasing the MASEM seminar you will be freely enrolled in two on-demand seminars that introduce the logic of path analysis and CFA/SEM in R by Professor Zyphur, offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
ESM Research: From Design and Analysis to Publication
Authors: Beal Daniel
Published: December 2023

This seminar introduces the use of Experience Sampling Methods (intensive longitudinal methods, ecological momentary assessment, diary methods, ambulatory assessment) to examine organizational phenomena. The first set of topics include development of ESM designs and measures, challenges with publishing ESM studies (with a particular emphasis on organizational journals), and an overview of tools used for ESM data collection and cleaning in R. The second set of topics focus on issues of ESM data analysis, including basic within- and between-person descriptive statistics and multilevel omega reliability from a Multilevel SEM perspective, and then more advanced Dynamic SEM techniques for causal inference in Mplus. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Instrumental Variable Analysis Using lavaan in R
Authors: Zyphur Michael
Published: December 2023

This seminar introduces the lavaan package in R for estimating causal effects with observational data using instrumental variables in both path analysis and SEM, grounded in introductions to both techniques including CFA. Traditional bootstrapping and Bayesian methods are explored for estimation and hypothesis testing. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Panel Models
Authors: Zhang Zhen
Published: December 2023

This seminar introduces longitudinal panel data models in Mplus using SEM, including latent growth models (i.e., latent curve or latent trajectory models) and cross-lagged panel models (i.e., panel vector autoregression) with random and fixed effects, including the random intercept cross-lagged panel model (RI-CLPM) to assess time-varying and stable relationships. Short-run and long-run effects will be covered and methods for assessing them provided. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Multilevel SEM with Moderated Mediation in Mplus
Authors: Zyphur Michael
Published: December 2023

This seminar introduces the Mplus multilevel latent variable modeling framework and describes topics including multilevel variance and effect decomposition, and random and fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM, including approaches for handling strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Text Analysis: Text as Data with R
Authors: Spirling Arthur
Published: December 2023

This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
A Gentle Introduction to R
Authors: Bednall Timothy
Published: December 2023

This seminar teaches the basics of R without any assumed prior knowledge of statistics or programming. Over the course of two days you'll learn how to load, save, and explore data, present your work using R Markdown, manipulate data using the tidyverse, and create great figures using ggplot2. We will also showcase basic examples of using R for prediction, classification, dimensionality reduction and clustering. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Causal Inference with Observational Data in R
Authors: Chan Gary
Published: December 2023

Propensity score methods, Inverse probability treatment weighting, and marginal structural models are relatively new and attractive alternatives to RCTs for causal inference using observational data. This seminar, taught by Dr. Gary Chan, offers an introduction to these methods using R with hands-on instruction and exercises so that you can understand and apply these methods in your own research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Bayesian Statistics for Social and Health Scientists in R and Python
Authors: Zang Emma
Published: December 2023

This seminar will introduce you to Bayesian statistics, which are increasingly popular and offer a powerful alternative to more traditional forms of statistical analysis. Targeted at a social and health science audience, the seminar will cover the fundamentals of Bayesian inference and illustrate a variety of techniques with applied examples of Bayesian regressions and hierarchical models. You will gain an understanding of Markov chain Monte Carlo (MCMC) methods and learn how to develop and validate Bayesian models so that you can apply them in your daily research, with the kinds of intuitive inferences that Bayesian methods allow. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Organizational ESM Research: From Design and Analysis to Publication
Authors: Beal Daniel
Published: December 2023

This seminar introduces the use of Experience Sampling Methods (intensive longitudinal methods, ecological momentary assessment, diary methods, ambulatory assessment) to examine organizational phenomena. Day 1 topics include development of designs and measures, challenges with publishing ESM studies in organizational journals, and an overview of tools used for data collection. Day 2 topics focus on issues of analysis, including basic within- and between-person descriptive statistics from a Multilevel SEM perspective. A final module introduces more advanced Dynamic SEM techniques. An official Instats certificate of completion is provided at the conclusion of the seminar.
Multilevel SEM in Mplus
Authors: Zhang Zhen
Published: December 2023

This seminar introduces the Mplus multilevel latent variable modeling framework and describes topics including multilevel variance and effect decomposition, and random and fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM, including approaches for handling strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). An official Instats certificate of completion is provided at the conclusion of the seminar.
Advanced Applications of QCA (Qualitative Comparative Analysis) in R
Authors: Schneider Carsten
Published: December 2023

This seminar on advanced set-theoretic methods for the social sciences focuses on applied Qualitative Comparative Analysis (QCA). This method is used in fields as diverse as political science, public policy, international relations, sociology, business and management, organizational studies, and even musicology. This seminar will enable participants to produce cutting edge QCA-based research through hands-on coverage of the most recent advances in QCA. All applied components of the seminar are performed in the R software environment, using RStudio (Cloud) and R packages QCA and SetMethods. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Causal Inference with Observational Data in R: Propensity Scores, Inverse Probability Treatment Weighting, and Marginal Structural Models
Authors: Chan Gary
Published: December 2023

Propensity score methods, Inverse probability treatment weighting, and marginal structural models are relatively new and attractive alternatives to RCTs for causal inference using observational data. This seminar, taught by Dr. Gary Chan, offers an introduction to these methods using R with hands-on instruction and exercises so that you can understand and apply these methods in your own research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Multilevel Modeling in R: Basic and Advanced Methods + 1 Free Seminar
Authors: Lang Jonas
Published: December 2023

The hands-on seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graphical methods to examine model assumptions, and (4) useful extensions of the standard model to test phenomena such as cross-classified multilevel models and consensus emergence in groups. When purchasing the seminar you will be freely enrolled in an on-demand seminar on multilevel SEM in R by Professor Zyphur, helping you to extend your multilevel learning and offering a substantial value. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
Machine Learning for Prediction and Causal Inference
Authors: Weeks Melvyn
Published: December 2023

This seminar explores machine learning techniques for prediction and causal inference, where a researcher or decision maker needs to make a prediction or understand the impact of an intervention in a heterogenous population. For example, researchers may want to infer the effect of an economic, educational, or public health intervention, or a firm may seek to understand how a change in pricing will impact aggregate demand. In these cases, the interest may be in an average effect, but also how the effect varies over different segments of the population (i.e., heterogeneity in the effect). This seminar will provide you with the tools to undertake such inquiry using machine learning (ML), while ensuring that you understand and can communicate how the methods work for prediction and causal inference. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Intensive Longitudinal Methods (EMA and ESM) using R
Authors: Kalokerinos Elise , Koval Peter
Published: December 2023

This seminar introduces intensive longitudinal methods (experience sampling, ecological momentary assessment, diary methods, ambulatory assessment), which involve dense repeated sampling of psychological processes in daily life. Topics include intensive longitudinal study design (Day 1), followed by basic analyses and multilevel modeling of these data using R (Day 2). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Time-Series Methods: Dynamic Modeling, Non-Stationarity, and Cointegration
Authors: Hall Stephen
Published: December 2023

This seminar provides a hands-on exploration of time-series methods useful for econometrics as well as social and health science research. Any modelling exercise involving time series data depends crucially on the correct treatment of any non-stationarity which may be present in the data. The seminar explores the developments in dynamic modelling and non-stationarity which have taken place over the last 50 years in Econometrics, including in-depth coverage types of non-stationarity and tests for them, including cointegrated relationships (shared trends) among multiple variables. A free version of the EViews software can be. An Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Instrumental Variable Analysis Using Mplus
Authors: Zyphur Michael
Published: December 2023

This seminar introduces estimating causal effects with observational data using instrumental variables in Mplus, both within a path analysitic and SEM framework. Basic introductions are first provided for path analysis and CFA, before describing instrumental variable methods in both observed- and latent-variable frameworks. Traditional bootstrapping and Bayesian methods are explored for estimation and hypothesis testing. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Introduction to Multilevel Modeling
Authors: González-Romá Vicente
Published: December 2023

This seminar offers an introduction to multilevel modeling (MLM) with an emphasis on understanding the logic underlying these models and learning how to estimate them with SPSS and Mplus. The seminar will allow participants to define a variety of ML models, estimate the parameters with SPSS and Mplus, and interpret the results. The seminar emphasizes the underling logic and theory of these methods, so that you can plan, conduct, and publish your own multilevel research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Panel Models
Authors: Zyphur Michael
Published: December 2023

This seminar introduces longitudinal panel data models in Mplus using SEM, including latent growth models (i.e., latent curve or latent trajectory models) and cross-lagged panel models (i.e., panel vector autoregression) with random and fixed effects, including the random intercept cross-lagged panel model (RI-CLPM) to assess time-varying and stable relationships. Short-run and long-run effects will be covered and methods for assessing them provided. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.
Realization of food-related cognitive models in the media discourse
Authors: Shevchenko V.D.
Published: December 2023

The present paper is devoted to the problem of representing food in the
American media discourse. The author analyzes the social and linguistic factors of
food representation in the media discourse, specifically the ideas and social factors
that guide journalists as well as the linguistic form of food representation. Particular
attention is paid to cognitive aspects: the author analyzes which components of the
situational cognitive models are foregrounded in the media articles and by what
language means. The reasons for this process are also investigated. The author comes
to the conclusion that the process of food representation in American media discourse
is determined by the aim of constructing a specific identity.
The Beginning of Our Journey: The Launch of the Tunisian Journal of Sports Science and Medicine
Authors: Chtourou Hamdi , Guelmami Noomen , Trebelsi Khaled , Dergaa Ismail
Published: December 2023

The Tun J Sport Sci Med is a peer-reviewed, quarterly, and open-access journal that upholds the highest principles of academic transparency, diversity, equity, and accessibility. The Tun J Sport Sci Med invites submissions of high-quality original articles, review articles (e.g., narrative, scoping, systematic, integrative), editorials, short communications, and letters to the editor. While editorials are typically published through invitations, we are open to considering exceptional editorial pieces. The authors interested in submitting editorials should contact the editors-in-chief to discuss their potential fit and relevance for our journal. We place great value on contributions that not only introduce new findings but also provide a critical analysis of existing research and offer innovative approaches to address the complex challenges within sports science and medicine.
The value of the health care transition in the treatment of patients with rare diseases - highlights for clinicians
Authors: Milska-Musa Katarzyna , Labunets Kinga , Kieć-Wilk Beata , Wierzba Jolanta
Published: December 2023

Advances in medical science, the development of diagnostics and modern treatments have contributed to prolonging the survival of patients with chronic diseases and/or disabilities. The adolescence stage is a crucial period in everyone's life and, in the case of patients with disabilities, it is also a challenging period. It is at this stage that social problems or difficulties associated with adolescence become apparent. A change in the form of healthcare provision also takes place at this stage. A properly planned process affects not only the patients' health needs, but also their social development. The transition of adolescents with chronic diseases and/or disabilities from paediatric to dedicated adult care is a complex process that requires appropriate coordination to ensure continuity of highly specialised healthcare. The quality of the transition process depends on the commitment of physicians, but also of patients and their caregivers. Despite the medical community's awareness of the benefits of a properly organised transition process, there is still a lack of standardised recommendations and standards for this process. Few adolescents with chronic diseases receive any support during this period. Understanding the challenges of the transition process is key to providing holistic care for patients and their caregivers. This article searches the available literature on the topic of transtion to present current knowledge in this area. Barriers and challenges to the transition process are identified, but also the steps of a properly structured transition process from paediatric to adult care, as proposed by GotTransition, are presented.
Profiling a Low Emissivity Glass Coating with ToF‐SIMS and Machine Learning
Authors: Bamford Sarah E. , Jones Robert T. , Gardner Wil , Muir Benjamin W. , Winkler David A. , Pigram Paul J.
Published: December 2023

Characterization of multilayer coatings in 3D presents many challenges, as composition can change by area and by depth. Compositional characteristics of the interior of multilayer coatings emerge during analysis, so are frequently discovered only through exacting retrospective investigations. Time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) can be used to elucidate such complex systems; however, data analysis is a challenge. In this work a detail presentation is done of 3D chemical characterization of a low emissivity (low‐E) double silver coating on glass using ToF‐SIMS and machine learning. An unsupervised machine learning technique, the self‐organizing map with relational perspective mapping, is used to visualize the chemical similarity between different layers of the low‐E film. Repeating layers are easily identified at the single‐voxel level, based on their entire mass spectra, and are classified as chemically indistinguishable. All major film components are identified, including the use of SnO2 as a dielectric, ZnO seeding layers, TiOx blocking layers, a Zn base layer, and a TiOx topcoat. The thin optically active silver layers are examined in detail, demonstrating subtle chemical changes with depth. This technique provides excellent insight into manufacturing processes and production challenges and has excellent potential in forensic applications.
A Flexible Silver‐Hollow‐Fiber Film by Blow‐Spinning and UV‐Induced Microstructural Engineering for High‐Efficiency Electromagnetic Interference Shielding
Authors: Zhang Huan , Huang Jufeng , Wang Yu , Qin Yaxian , Lu Jiaxiang , Su Liang , Li Xilin , Wang Jinbo , Wang Haolun , Song Jianan , Lin Sen
Published: December 2023

As the prevalence of electromagnetic interference (EMI) continues to rise, there is a growing demand for shielding materials, which play a crucial role in electronic devices, communication systems, health protection, etc. However, conventional EMI shielding materials encounter difficulties in effectively addressing the escalating intricacies of electromagnetic environments and diverse shielding scenarios, wherein foldability, flexibility, and lightweight are desired. In this work, a novel EMI shielding material, silver‐hollow‐fiber (AgHF), is developed by combining blow‐spinning, UV radiation, and temperature‐controlled annealing technologies. During the fabrication process, UV radiation is used to selectively reduce silver ions on the outer surface of precursor fiber, and temperature‐controlled annealing is further employed to remove the inside polymer, forming a hollow fiber structure. The AgHF exhibits superior flexibility, lightweight, remarkable mechanical stability, and excellent EMI shielding efficiency (SE). Particular, the AgHF with a thickness of 163 µm demonstrates an EMI SE of 101.65 dB, and with minimal degradation of less than 10% even after undergoing 2000 bending cycles. The remarkable EMI shielding performance, combined with the lightweight, flexibility, and mechanical stability of AgHF, positions it as a highly promising material for a wide range of EMI shielding applications in the future.
Precisely Regulation of Peripheral Decoration of Multi‐Resonance Molecules and Construction of Highly Efficient Solution‐Processed Orange–Red OLEDs with External Quantum Efficiency Approaching 20%
Authors: Cai Xinliang , Pan Yue , Song Xiaoxian , Li Chenglong , Pu Yexuan , Zhuang Xuming , Bi Hai , Wang Yue
Published: December 2023

The advent of multi‐resonance thermally activated delayed fluorescence (MR‐TADF) materials, heralding cutting‐edge emitters with superior efficiency and color fidelity, represents a momentous stride in the realm of organic light‐emitting diodes (OLEDs). In this particular investigation, substantial advancements have been made by enhancing, synthesizing, and characterizing three distinct MR‐type emitters through meticulous control of peripheral decorations using frontier molecular orbital engineering. Through strategic attachment of various pyrimidine derivatives to the positions of the lowest unoccupied molecular orbitals (LUMO) of the parent molecule, the molecular excited state attributes are meticulously tailored, leading to the development of orange‐red MR‐TADF emitters. These designed molecules have demonstrated an emission spectrum shift from orange‐red to orange, exhibiting peak wavelengths spanning the range of 585–608 nm and full width at half‐maximums (FWHM) between 36 and 43 nm. This signifies a remarkable precision in managing the emission maxima of MR‐TADF emitters. Astonishingly, the solution‐processed OLEDs have showcased vibrant orange‐red electroluminescence, characterized by peak wavelengths ranging from 587 to 611 nm, accompanied by a notable external quantum efficiency nearing 20%.
Melt Electrowriting: A Promising 3D Printing Technology for Cartilage and Osteochondral Repair
Authors: Zhou Sha , Xing Jiyao , Sun Li , Hu Xiao , Liu Ting , Liu Qing , Zhang Zongying , Hao Minglu , Liang Bing , Xing Dongming
Published: December 2023

Articular cartilage injuries and osteochondral defects are a significant clinical challenge, as conventional treatments often have limited success. Articular cartilage has limited self‐regeneration ability due to the absence of blood vessels, nerves, and lymphatic vessels, making it challenging to repair tissue defects and restore motor function in injured or aging populations. Additionally, the anatomical complexity and slow regeneration capacity of hyaline cartilage at the osteochondral interface pose significant problems in repairing osteochondral defects. Melt electrowriting, a novel technology particularly suitable for polycaprolactone (PCL) is expected to overcome the common limitations of 3D‐printed scaffolds, such as poor tissue‐porosity matching, low resolution, and inflexible shapes. In recent years, melt electrowriting (MEW) has become a promising strategy for repairing cartilage and osteochondral defects. However, there is still a lack of systematic understanding regarding the comparative characteristics and application value of MEW compared with commonly used 3D printing technologies such as extrusion printing, inkjet printing, and fusion deposition modeling. This review paper compares the characteristics and advantages of MEW and common 3D printing technologies, providing a comprehensive summary of the significant progress and applications of MEW for cartilage/osteochondral repair. Finally, the challenges and key directions for future research in MEW technology will also be discussed.
Computer‐Vision Based Gesture‐Metasurface Interaction System for Beam Manipulation and Wireless Communication
Authors: Chen Yue Teng , Wang Hai Lin , Sun Shi , Cheng Zhang Wen , Zhang Yan Kai , Zheng Sen , Zhang Tai Yi , Ma Hui Feng , Cui Tie Jun
Published: December 2023

Hand gesture plays an important role in many circumstances, which is one of the most common interactive methods in daily life, especially for disabled people. Human–machine interaction is another popular research topic to realize direct and efficient control, making machines intelligent and maneuverable. Here, a special human–machine interaction system is proposed and namedas computer‐vision (CV) based gesture‐metasurface interaction (GMI) system, which can be used for both direct beam manipulations and real‐time wireless communications. The GMI system first needs to select its working mode according to the gesture command to determine whether to perform beam manipulations or wireless communications, and then validate the permission for further operation by recognizing unlocking gesture to ensure security. Both beam manipulation and wireless communication functions are validated experimentally, which show that the GMI system can not only realize real‐time switching and remote control of different beams through gesture command, but also communicate with a remote computer in real time by translating the gesture language to text message. The proposed non‐contact GMI system has the advantages of good interactivity, high flexibility, and multiple functions, which can find potential applications in community security, gesture‐command smart home, barrier‐free communications, and so on.
24% Single‐Junction GaAs Solar Cell Grown Directly on Growth‐Planarized Facets Using Hydride Vapor Phase Epitaxy
Authors: Braun Anna K. , Boyer Jacob T. , Schulte Kevin L. , McMahon William E. , Simon John , Perna Allison N. , Packard Corinne E. , Ptak Aaron J.
Published: December 2023

A 24%‐efficient single‐junction GaAs solar cell grown directly on a faceted, spalled (100) GaAs substrate after in situ planarization growth by hydride vapor phase epitaxy (HVPE) is achieved. Controlled spalling, a promising low‐cost substrate reuse technique, produces large facets in (100)‐oriented GaAs substrates due to the orientation of the fracture planes used for lift‐off. Planarization by HVPE offers a path toward direct use of these spalled substrates without costly polishing steps. Here, the growth rate anisotropy enabling planarization arising from diffusion and differences in the adsorption of growth species on {n11}B‐type facets relative to (100) is determined. Consecutive planarization and device growth that results in a solar cell with a minimal performance difference relative to a control cell grown on an epitaxy‐ready substrate are demonstrated. These results show that controlled spalling coupled with HVPE planarization is a viable pathway for lowering the cost of III‐V photovoltaics.
Fiber‐Shaped Batteries Towards High Performance and Perspectives of Corresponding Integrated Battery Textiles
Authors: Xu Qingli , Chen Jiusi , Loh Jiong Rui , Zhong Haoyin , Zhang Kun , Xue Junmin , Lee Wee Siang Vincent
Published: December 2023

Recently, due to its flexibility and ease of integration into wearable electronics, interest in fiber‐shaped batteries (FSBs) is burgeoning. While there is much research focused on improving the electrochemical performance of FSBs, little work is done to evaluate the safety and comfort of integrated FSBs for wearable electronics, which will significantly hinder the further development of high‐performance FSBs and their commercialization. In this review, the design, integration, and evaluation of FSBs incorporated in common textiles are fully discussed. Traditional textile characterization techniques and modern methods to evaluate its durability are also summarized. Finally, in view of developing commercial wearable battery textiles, a perspective toward improving the design of high‐performance FSB is presented.
Construction of hybrid ionic liquid‐catalysts for the highly effective conversion of H2S by nitriles into thioamides
Authors: Xiong Wenjie , Wen Shuyue , Zhang Xiaomin , Hu Xingbang , Wu Youting
Published: December 2023

Described herein presents a kind of multisite hybrid ionic liquid‐catalysts and establishes a novel strategy for H2S utilization, which has been characterized by multiaspects to reveal internal structural characterization. Through chemical modification, the D101‐based hybrid ILs were used for the direct synthesis of thioamides from the addition of H2S and nitriles. D101‐[PMDETA][DMG] can achieve an impressive activity of quantitative conversion for benzonitrile. Reaction kinetics, adsorption thermodynamics, substrate universality, and catalyst cycling experiments have been systematically studied. A first‐order kinetic model was constructed and studied experimentally for the reaction of nitriles with H2S to produce thioamides. The internal mechanism was proposed through experiments and confirmed by DFT‐based theoretical calculations. Moreover, D101‐based hybrid ILs can be easily recovered, thus completing the cyclic process of thioamide multiplication. This work not only offers an effective method for the construction of organic‐inorganic hybrid materials but also provides a novel insight into efficient H2S conversion.
Effect of semiconductor materials on anaerobic methanogenesis of terephthalic acid: Promotion and inhibition mechanisms
Authors: Xia Dong , Ye Lingfen , Huang Peng , Huang Jinyang , Lin Andi , Fu Dun , Li Heng , Wang Yuanpeng
Published: December 2023

The treatment of purified terephthalic acid wastewaters via anaerobic methods poses a significant challenge due to the slow degradation rate and extended reaction time required for the most recalcitrant terephthalic acid (TA). To address this challenge, this study investigated the efficacy of various semiconductors in promoting TA degradation and determined their respective functional roles. Results showed that the addition of g‐C3N4 increased methane production by 28.38%, indicating its potential as a replacement for TiO2 in TA degradation. The improvement was attributed to the intensified direct interspecies electron transfer (DIET) process, facilitated by microorganisms that directly utilize conductive TiO2/g‐C3N4 as intermediaries to accelerate the electron transfer rate. The unfavorable methanogenesis performances of CeO2 and Fe2O3 were accredited to agglomeration phenomena and toxic effects. This study provides insights into the roles of exogenous materials in promoting or limiting the DIET process, and offers an environmentally friendly and highly‐effective strategy for treating industrial purified‐terephthalic acid wastewater.
Lignin‐assisted alloying engineering of CoNiRu trimetallic nano‐catalyst for effective overall water splitting
Authors: Chen Dalang , Liu Jianglin , Qiu Xueqing , Liu Bowen , Wang Xiaofei , Qiu Zhongjie , Lin Xuliang , Qin Yanlin
Published: December 2023

The development of inexpensive and robust bifunctional electrocatalysts for hydrogen evolution reactions (HER) and oxygen evolution reactions (OER) was crucial for renewable energy systems. Herein, a novel strategy for preparing CoNiRu alloy nano‐electrocatalyst capsulated by nitrogen‐doped biochar (CoNiRu@NLC) using carboxymethylated lignin macromolecules was proposed. CoNiRu@NLC exhibited excellent HER and OER performance, and the overall water splitting voltage was only 1.47 V at 10 mA/cm2 with excellent catalytic stability, which was superior to the noble metal catalysts Pt/C ‖ RuO2. Theoretical calculations confirmed the strong electron interaction between CoNiRu alloy and carbon layer, and XPS patterns proved that the electrons transfer from Ru to CoNi, significantly boosted the electrocatalytic activity. This study demonstrated the importance of lignin‐driven alloying on enhancing catalytic performance and provided a concept for the development of high‐efficiency catalysts and high‐value utilization of polyphenol biomass.