bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehensive Analysis of a PV System Integrated with Battery Storage, Electric Vehicle (EV) Charging, and Smart Energy Management
Authors: Osman Mohammed Gmal , Lazaroiu Gheorghe , Hamad Shadia Abd eldaim , Messaoud Hazmoune , Mohammed Debbache , Stoica Dorel
Published: February 2025

The transition to renewable energy is a crucial step toward sustainability and integrating photovoltaic (PV) systems with battery storage and electric vehicle (EV) charging plays a key role in optimizing energy consumption and reducing reliance on fossil fuels. This study examines the design, performance, and impact of a grid-connected PV system in Constanta, Romania, assessing its ability to enhance energy efficiency, improve self-sufficiency, and contribute to environmental sustainability. By leveraging battery storage, surplus solar power is retained for later use, reducing dependency on the grid and ensuring a stable electricity supply. The study further investigates the economic and environmental benefits of renewable energy integration, including reductions in carbon emissions and operational costs. The analysis was conducted using PV*SOL for system simulation and performance evaluation, while Global Solar Atlas provided solar irradiance data for accurate energy yield assessment. The results demonstrate that integrating PV systems with battery storage and EV charging significantly enhances energy independence, with 92.2% of total consumption covered by solar energy and a reduction of 6239 kg in CO₂ emissions annually. This research provides a comprehensive model for renewable energy adoption, supporting the transition toward a cleaner and more sustainable energy.
Mental Health, Psychological Features and Psychiatric Comorbidity of Adolescents with Atopic Dermatitis: A Review
Authors: Lugović-Mihić Liborija , Bukal Dora , Dolački Lorena , Zanze Lucija , Barac Ema , Tomašević Renata , Vilibić Maja
Published: February 2025

Background/Objectives:Adolescence is a particularly sensitive period of development, marked by numerous changes, and the adolescent` quality of life (QoL) could be significantly affected by the disease like atopic dermatitis (AD). The chronic nature of AD is particularly significant: due to recurring (relapsing) skin lesions, adolescents are likely exposed to greater stress and depressive symptoms than those experiencing transient or one-time symptoms. Aesthetic and functional AD skin lesions during adolescence lead to reduced happiness, high stress and depression. Methods: In this review we wanted to present the current knowledge on mental health, psychological features and psychiatric comorbidity of adolescents with AD, based on the previous studies/research on this topic presented in Pubmed basis. Results: Previous studies have confirmed that sleep disturbances, behavioural disorders, internalizing profiles, depression and anxiety, stress symptoms and suicidality represent the most prevalent psychiatric comorbidities and psychological features in adolescents with AD. According to research data, adolescents with AD also reported a tendency toward feelings of sadness and hopelessness and even suicidal thoughts and attempts. The interplay between sleep disturbances, depression and anxiety, behavioural disorders as well as suicidality (as the most frequent psychiatric comorbidity in adolescents with AD) seems to be rather complex. Conclusions: So, adequate social competence is essential for healthy mental development, as its impairment may be associated with psychological disorders in childhood and adolescence and potentially persist into adulthood. These findings highlight the need for a psychological approach and the introduction of intervention programs from an early age, such as mental health assessments and professional supervision following diagnosis.
Applying Convolutional Vision Transformer for Emotion Recognition of Children with Autism: Fusion of Facial Expressions and Speech Features
Authors: Wang Yonggu , Pan Kailin , Shao Yifan , Ma Jiarong , Li Xiaojuan
Published: February 2025

With advances in digital technology, including deep learning and big data analytics, new methods have been developed for autism diagnosis and intervention. Emotion recognition and the detection of autism in children are prominent subjects in autism research. Typically using single-modal data to analyze the emotional states of children with autism, previous research has found that the accuracy of recognition algorithms must be improved. Our study creates datasets on the facial and speech emotions of children with autism in their natural states. A convolutional vision transformer-based emotion recognition model is constructed for the two distinct datasets. The findings indicate that the model achieves accuracies of 79.12% and 83.47% for facial expression recognition and Mel spectrogram recognition, respectively. Consequently, we propose a multimodal data fusion strategy for emotion recognition and construct a feature fusion model based on an attention mechanism, which attains a recognition accuracy of 90.73%. Ultimately, by using gradient-weighted class activation mapping, a prediction heat map is produced to visualize facial expressions and speech features under four emotional states. This study offers technical direction for the use of intelligent perception technology in the realm of special education and enriches the theory of emotional intelligence perception of children with autism.
The Potential of Cultural Elements in Sensory and Cognitive Stimulation of Persons with Dementia: An Exploratory Study Through Textile Artefacts
Authors: Lima Cláudia , Barreto Susana , Sousa Catarina
Published: February 2025

Background/Objectives: This article addresses an exploratory design study in the framework of the research REMIND, focused on the importance of cultural and biographical components for cognitive and sensory stimulation of persons with dementia. Through a case study held at a Day Centre from Alzheimer Portugal association, it envisages to demonstrate the relevance of including cultural elements in sensory stimulation artefacts for persons with dementia. It is hypothesised that the inclusion of cultural elements transversal to the biographical stories of these persons will have greater potential to stimulate their senses and reminiscences. This hypothesis in the context of this study was explored through textile artefacts. Methods: Methods included participant observation, sensory and visual ethnography, interviews, focus groups, and participatory design involving women with moderate and advanced Alzheimer’s disease and health professionals. Due to the severely compromised verbal communication abilities of part of the women, beyond-verbal communication strategies were adopted. Results: The results showed that textiles with a cultural presence tend to elicit greater reactions and reminiscences of events associated with women’s life stories. Crochet artefacts were of particular relevance: women's involvement in activities with crochet artefacts was substantially higher and, in certain cases of women with moderate dementia, these artefacts activated positive memories of the person suggesting the potential of crochet for sensory stimulation. Conclusions: The results support the hypothesis, however, further research is needed exploring other cultural elements and involving a broader demographic. Based on the results obtained, a sensory blanket was developed and is already in use at the Centre.
Fine-Tuning Transformers Efficiently: A Survey on LoRA and Its Impact
Authors: Huan Muchen , Shun Jianhong
Published: February 2025

The rapid growth of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements in text generation, machine translation, and various downstream applications. However, fine-tuning these models remains computationally expensive due to their vast number of parameters. Low-Rank Adaptation (LoRA) has emerged as a highly efficient parameter-efficient fine-tuning (PEFT) technique that significantly reduces memory and computational costs while maintaining competitive performance. LoRA achieves this by freezing the pre-trained model weights and introducing trainable low-rank matrices into transformer layers, enabling efficient adaptation to new tasks. This survey provides a comprehensive review of LoRA, covering its theoretical foundations, practical implementation, recent advancements, and real-world applications. We explore various hybrid approaches that combine LoRA with other fine-tuning techniques, such as prompt tuning and adapter layers, as well as extensions like dynamic rank selection and quantized LoRA for enhanced efficiency. Additionally, we discuss the application of LoRA beyond traditional NLP tasks, including vision-language models, speech processing, and reinforcement learning. Despite its advantages, LoRA presents challenges such as inference overhead and optimal rank selection, which remain active areas of research. We highlight ongoing efforts to address these limitations and discuss future directions, including automated LoRA optimization, continual learning, and deployment in ultra-large foundation models. As AI models continue to grow in complexity, LoRA stands out as a scalable and cost-effective solution for fine-tuning, making it an essential tool for researchers and practitioners seeking to adapt LLMs efficiently.
Adaptation and Implementation of a Multi-Family Group Psychoeducational Intervention for Parents of Children with Autism: A Pilot Study
Authors: Tsiouri Ioanna G , Gena Αngeliki
Published: February 2025

Background/Objectives: A relatively small number of studies have evaluated the effec-tiveness of interventions designed to ameliorate family burden and to improve family functioning for families with a child with ASD. This study aims to investigate whether a long-term multi-family group psychoeducational intervention, originally developed for families with a member with a psychiatric disorder, can assist parents of children with ASD to improve family functioning; family rituals; family burden; to understand the etiology, the characteristics, and treatment options for ASD; and to manage social- and self-stigmatization.
Method: We compared an intervention group (N=3 couples – 6 parents) with a waitlist control group (N=3 couples – 6 parents) by administering psychometric scales to evaluate the effectiveness of the intervention on (a) family functioning, (b) family rituals, and (c) family burden. Qualitative analysis of pre- and post-intervention semi-structured interviews assessed (a) the participants' understanding of the nature, causes, and treatments for ASD and (b) management of social- and self-stigmatization in families with a child with ASD.
Results: Quantitative pre and post-test group comparisons as well as qualitative thematic analysis revealed significant decreases in all parameters under study for the treatment group.
Conclusions: Our findings provide pilot evidence that long-term group psychoeduction,
originally designed for families with a member with a psychiatric disorder,may provide an efficacious treatment choice toward improving the general functioning of families with a child with ASD. Systematic replications of this psychoeducational intervention merit attention.
The Historical Context of Drugs and the Role of Artificial Intelligence (AI) in It: An Overview
Authors: Motente Mokete
Published: February 2025

Drug discovery has undergone a remarkable transformation over the centuries, evolving from empirical observations and natural product isolation to high-throughput screening and molecular design. This review provides a historical overview of key milestones in drug development, tracing the journey from traditional practices to modern computational techniques. Emphasizing the increasing role of Artificial Intelligence (AI), the review explores how machine learning, deep learning, and generative algorithms are revolutionizing the field of drug discovery and development. AI's ability to analyze complex datasets, predict drug-target interactions, and optimize lead compounds has accelerated the drug discovery pipeline and personalized medicine and drug repurposing efforts. While the advantages of AI include cost-effectiveness, enhanced efficiency, and expanded chemical space exploration, its limitations, such as data dependency and interpretability, are also discussed. This review aims to contextualize the evolution of drug discovery while highlighting AI's transformative potential in addressing contemporary challenges in healthcare.
Efficient Layer-Resolving Fitted Mesh Finite Difference Approach for Solving a System of n Two-Parameter Singularly Perturbed Convection-Diffusion Delay Differential Equations
Authors: Paramasivam M. Joseph , Jenolin A. , Chatzarakis G. E. , Panetsos S. L.
Published: February 2025

This paper presents a robust fitted mesh finite difference method for solving a system of n singularly perturbed two parameter convection-reaction-diffusion delay differential equations defined on the interval [0,2]. Leveraging a piecewise uniform Shishkin mesh, the method adeptly captures the solution’s behavior arising from delay term and small perturbation parameters. The proposed numerical scheme is rigorously analyzed and proven to be parameter-robust, exhibiting nearly first-order convergence. Numerical Illustration is included to validate the method’s efficiency and to confirm the theoretical predictions
Event-Driven Dynamics Modeling of Operating State Evolution of Roadheading Equipment
Authors: Wang Yan , Yang Zhiwei , Kou Haonan , Gao Yule , Zhang Xuhui , Zhao Youjun
Published: February 2025

In the application of the digital twin model of the digging face, the data transmission will be transmitted to the remote control platform through the physical hardware via the gateway, and this cross-system and cross-software data transmission mode will inevitably generate the transmission delay, which leads to a certain spatial-temporal deviation between the virtual scene of the remote control platform and the physical digging site. In this paper, by analyzing the operation process of roadheading equipment, a state evolution dynamics model construction method for roadheading equipment is proposed, which includes three stages, namely, discretization of positional state based on cutting path planning, event-driven construction of cutting state evolution map of roadheading equipment and real-time data-driven dynamics evolution of roadheading equipment, and the construction of roadheading equipment state evolution dynamics model provides the best solution for the roadheading equipment. The construction of the model provides theoretical basis and technical support for the construction and alignment of the digital twin multidimensional model of the roadheading equipment.
Organización del tiempo durante el teletrabajo como riesgo psicosocial en docentes
Authors: Gutiérrez-Hernández Mónica Gabriela , Maldonado-Macías Aidé Aracely
Published: February 2025

La docencia es una profesión demandante debido a la incorporación de nuevas tecnologías de información y comunicación en un competitivo mercado global. Además, a partir de la pandemia de COVID-19 dicha profesión se transformó en teletrabajo docente. Consecuentemente, los docentes han invertido y organizado su tiempo para desarrollar las habilidades requeridas, representando un factor de riesgo psicosocial del trabajo. Los objetivos de la investigación son determinar el nivel de riesgo psicosocial por la organización del tiempo de trabajo en docentes del TecNM / campus Ciudad Juárez y comparar su prevalencia por sexo, grado académico y nombramiento. Se aplicó la guía de referencia III de la NOM-035, en una muestra no probabilística de 202 docentes, se depuró la base de datos y se comparó su prevalencia por sexo, grado académico y tipo de nombramiento realizando pruebas de diferencia de proporciones. Como resultados, un 62 % de los docentes presentan niveles elevados del riesgo. No se encontraron diferencias significativas por sexo, pero existen diferencias significativas por tipos de nombramiento y grado académico. En conclusión, la docencia se ha visto afectada significativamente por la organización del tiempo de trabajo y se requieren estrategias para mitigar este riesgo psicosocial que puede afectar la salud de los docentes y el proceso enseñanza-aprendizaje.
Las mejores prácticas de colaboración en la cadena de suministro para la gestión de ergonomía
Authors: Rodríguez-Gámez Iván Francisco , Maldonado-Macías Aidé Aracely , Naranjo Flores Arnulfo Aurelio
Published: February 2025

La Gestión de Ergonomía (GE) es un concepto en desarrollo y a la vez un proceso que se lleva a cabo en las empresas que integran las Cadenas de Suministro (CS), las cuales buscan evaluarla integral y holísticamente. Así, las prácticas de colaboración (PrC) son clave en la mejora de la eficiencia y productividad, así como en la prevención y evaluación de riesgos ergonómicos. Esta investigación tiene como objetivo determinar las mejores PrC en la CS para la GE. Para ello, se desarrolló una revisión de literatura, posteriormente se diseñó un cuestionario digital con preguntas tipo Likert sobre las PrC que fue respondido por un grupo de expertos de Latinoamérica. Finalmente, se realizó el análisis descriptivo. Como resultados, el cuestionario fue integrado por dos constructos (proveedores y clientes) y 12 ítems. El análisis de las respuestas de 34 expertos estableció que entre las mejores PrC están el compromiso gerencial, planificar y compartir experiencias de los factores de riesgo, de las acciones preventivas y de control entre las compañías. Así, estas prácticas permitirán la evaluación de la GE mediante el intercambio de información y la generación de conocimiento de ergonomía entre los miembros de la CS pueden contribuir a mejorar el desempeño y bienestar de los empleados.
Mejora ergonómica y productiva en prensa CNC en empresa manufacturera
Authors: Zamora Alarcón Rigoberto , Contreras Peñuelas Christian Axel , Valencia Lara Jesús Rene , Castillón Barraza Acela , Ontiveros Zepeda Arturo Sinue
Published: February 2025

En el área industrial metalmecánica, el presente proyecto tuvo como objetivo mejorar las estaciones de trabajo integradas a un proceso de conformado, analizando las estaciones de trabajo donde operan máquinas de corte con láser, mesa de planos, doblado CNC e inspección en una empresa mexicana ubicada en la ciudad de Mexicali, Baja California. Se identificaron áreas donde se requería mejorar las condiciones de trabajo y operación, tomando mediciones de las condiciones laborales y realizando una evaluación con las Normas Oficiales Mexicanas (NOM) relacionadas con ruido, iluminación, condiciones térmicas elevadas o abatidas, condiciones de seguridad e higiene, así como factores de riesgo ergonómico en el trabajo. Además, con la evaluación de algunos métodos ergonómicos, se logró identificar la probabilidad de actividades que pudieran generar riesgos de lesiones musculoesqueléticas, aplicando herramientas de mejora industrial, como la reingeniería de proceso, 5S, SMED y ergonómica. Se hizo una propuesta de mejora del proceso de prensa CNC, logrando una mejora en las medidas de rendimiento y disminuir las condiciones de riesgo ergonómico de nivel medio a bajo, así como incrementar la productividad del proceso.
The Role of AIK Education in Increasing Student Diversity Muhammadiyah University
Authors: Amin Muh , Malik Abdul
Published: February 2025

This study explored the role of Al-Islam and Kemuhammadiyahan Education (PAIK) in shaping the students' character to be inclusive, tolerant, and integrity-driven within Muhammadiyah Higher Education institutions. Amid the increasing challenges of diversity and multiculturalism, the research highlighted the significance of PAIK in fostering leadership skills, social responsibility, and adaptability among students. Employing a qualitative research method with a library-based approach, this study comprehensively analyzed relevant literature, including books and academic journals, to draw meaningful insights. The findings revealed that PAIK significantly contributed to character development by integrating Islamic teachings and Muhammadiyah values into the students' academic and personal lives. It emphasized the cultivation of moral integrity, leadership qualities, and empathy towards societal dynamics. The study concluded that PAIK not only strengthened the students' religious foundation but also equipped them with essential competencies for navigating modern societal challenges. This research offered a novel perspective on Al-Islam and Muhammadiyah Curriculum (AIK) development and provided practical strategies for fostering diversity and tolerance in higher education, thus serving as a valuable reference for similar educational institutions seeking to achieve holistic student development.
Engaging Opportunities and Challenges: Students’ Perspectives Towards Developing Islamic Education Learning Media
Authors: Arifah Mir'atun Nur , Saputra Kurniawan Dwi , Baharuddin A Zamakhsyari
Published: February 2025

This research explored students’ perspectives regarding the opportunities and challenges in developing Islamic Education learning media. Using a quantitative approach with a survey research design, the study distributed questionnaires to gather data on students' views. The results were further explored and interpreted using semi-structured interviews and observations to enrich the findings and provide deeper insights. The collected data was analyzed to identify patterns and trends in their perspectives. The research found that students viewed the learning media development as supporting accessibility and flexibility, enhancing learning quality, and fostering student potential and motivation. Conversely, students identified inequality in access, teacher roles and challenges, and the quality and usability of digital media as significant obstacles. These findings offered valuable insights for educators and learning developers in designing strategies for integrating digital learning media for Islamic Education. However, this study was limited to student perspectives, and further research involving other stakeholders is recommended to provide a more comprehensive understanding about the topic
Innovative Learning Media Exhibition: Cultivating Motivation among Islamic Education Students to Create Engaging Learning Media
Authors: Hijriyah Umi , Baharudin Baharudin , Fiteriani Ida , Fitriati Fitriati , Azizah Nurul
Published: February 2025

This research aimed to determine the relationship between media exhibitions and students' motivation. It was based on the fact that PAI students got lack motivation to create innovative learning media. This lack of motivation was caused by a limited understanding of the importance of learning media, insufficient skills and creativity, and inadequate facilities. The research design employed in this study was quantitative with a correlational approach. The sample consisted of 60 students from the fifth semester of the PAI program, class of 2022, at UIN Raden Intan Lampung. The instrument used in this study was a non-test instrument in the form of a questionnaire. The results from the T-test and correlation test revealed a significant relationship between media exhibitions and the motivation of students in the Islamic Religious Education program. The implication of this research was that it could serve a reference for taking further actions to address issues related to media exhibitions and students' motivation to develop or create innovative learning media. This study was expected to be used by educators as a reference for understanding the relationship between media exhibitions and the motivation of PAI students to create engaging learning media.
Anterior Attachments of the Medial Patellofemoral Ligament
Authors: Cheng Jing , Alam Shah M. Adeel , Wang Jia-Wei , Jiang Wen-Bin , Zhang Xu-Hui , Sui Hong-Jin , Zheng Nan , Yu Sheng-Bo
Published: February 2025

Background:

The medial patellofemoral ligament (MPFL) is the most important passive restraint of the medial patella and provides approximately 53% to 80% of medial soft-tissue restraints, although its relationship to the parapatellar structures is still not completely understood.

Methods:

Twenty-six formalin-fixed knees (13 for P45 plastination, 10 for dissection, and 3 for histology) were obtained from cadavers donated to the Department of Anatomy at Dalian Medical University. The mean age of the donors was 78.1 years (range, 52 to 95 years). These specimens were obtained from 4 women and 10 men. The integration of the anterior end of the MPFL with the extensor apparatus of the knee was observed, and the morphological observations were captured using a digital camera.

Results:

The MPFL was found to be attached to the extensor apparatus in 3 ways: its main fibers ran deep to the vastus medialis obliquus (VMO) tendon and ultimately inserted into it; its upper portion extended from, and was reinforced by, the vastus intermedius (VI) tendon; and its lower portion merged weakly into the parapatellar tendon. No direct attachment to the patella was found.

Conclusions:

The MPFL attachments to the extensor apparatus occur in 3 locations: the VMO tendon, the VI tendon, and the parapatellar tendon—and not the patella. No direct attachment to that bone was identified. This study provides a comprehensive anatomical relationship between the MPFL and the extensor apparatus of the knee (the patella and quadriceps). Clinically, we suggest that reconstruction of the MPFL be performed with fixation of its anterior end to the VMO rather than to the patella.
Effect of adaptive-fluidics on intraoperative lens-iris diaphragm retropulsion syndrome in cataract surgery: randomized clinical trial
Authors: Georgiev Stefan , Dana-Fişuş Andreea , Zeller Kristina , Palkovits Stefan , Ruiss Manuel , Pilwachs Caroline , Leisser Christoph , Findl Oliver
Published: February 2025

To assess the impact of an adaptive fluidics system (AFS) compared to a gravity fluidics system (GFS) on lens-iris diaphragm retropulsion syndrome during cataract surgery in myopic eyes using continuous intraoperative swept source optical coherence tomography (SS-OCT) measurements. In this explorative, randomized, patient-masked, study with intra-individual comparison, myopic cataract patients had the first operated eye allocated to the AFS or GFS groups using the same phacoemulsification platform (Stellaris/Stellaris Elite, Bausch & Lomb, Rochester, NY, USA). Fifty-four eyes of 27 patients were analyzed. Intraoperative anterior and posterior capsular bag distances were measured and compared at various timepoints during cataract surgery via an intraoperative SS-OCT prototype. Additionally, patients’ subjective discomfort was analyzed. Although intraoperative measurement failure rates were high (39.5%), we found that at the onset of phacoemulsification with irrigation in place, the mean anterior capsule deepening relative to baseline measurements was significantly less pronounced using the AFS (0.63 mm) compared to the GFS (1.19 mm, P = 0.02). While patient discomfort during surgery was also less pronounced after entering the phaco-probe with irrigation on in the AFS group, overall subjective patient discomfort during surgery revealed no statistically significant difference (P = 0.70). Our study suggests that adaptive fluidics during lens surgery appears to measurably reduce lens-iris diaphragm retropulsion syndrome compared to gravity-based fluidics at the initiation of phacoemulsification in myopic cataract patients.
WITHDRAWN: Cognitive behavioural therapy improves sleep quality in nursing students: results from a randomized controlled trial
Authors: Perez-Manchon David , Azpeleta-Noriega Clara , Gal-Iglesias Beatriz , Ruiz-Zaldibar Cayetana
Published: February 2025

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Fractal Characterization of Cavitation Erosion in Glycerol-Water Mixtures: Role of Viscosity in Aluminum Surface Failure
Authors: Osman Osman Omran , Abouel-Kasem A. , Heshmat M. , Saleh B. , Ahmed S. M.
Published: February 2025

This study investigates how fluid viscosity modulates cavitation erosion in Al-99.92 aluminum surfaces by employing fractal analysis to quantify degradation patterns in water and glycerol-water mixtures (10–40 cSt). Fractal dimensions, calculated from power spectral density (PSD) slopes of SEM-derived surface topographies, correlate strongly with traditional erosion metrics (mean depth penetration, MDP). Both fractal dimension and MDP exhibit a viscosity-dependent decline, revealing reduced cavitation intensity in high-viscosity fluids. Critically, fractal trends remain scale-invariant across magnifications, confirming that viscosity governs surface texture complexity independently of imaging resolution. Detached particle morphology and surface features (cracks, plastic deformation) identify fatigue failure as the dominant erosion mechanism, with liquid viscosity exerting secondary influence. By bridging fractal metrics to mechanical erosion outcomes, this work establishes fractal analysis as a robust tool for predicting viscosity-dependent cavitation damage in aluminum alloys, offering insights for material selection in high-viscosity hydraulic systems.
Preoperative positioning of robot-assisted tracheal intubation system in intensive care unit
Authors: Odekhe Randolph Osivue , Shi Huiping , Xia Hongji , Cao Qixin
Published: February 2025

Patients with infectious diseases often exhibit severe respiratory distress and breathing difficulties in isolation wards. Tracheal intubation is performed manually to secure the airway by health care providers wearing personal protective equipment to prevent infection spread and getting infected. This paper presents the navigation and preoperative positioning of an autonomous mobile intuba-tion robot capable of independently moving to the patient’s bed, positioning the intubation device inside the mouth while the operator completes the intubation procedure remotely, and the robot exits the location independently. The mobile base navigation module includes mapping, localization and path planning using the R3 live multi-sensor fusion algorithm utilizing sensor imputs from lidar, inertia measurement unit (IMU) and RGB-D camera, YOLOv5s object detection and avoidance algorithm and improved A* global path planning algorithm together with time elastic band (TEB) local path planning algorithm respectively. The preoperative positioning module based on facial pose estimation using retinaface algorithm combined with 6DRepNet to obtain facial pose. This is validated in simulation and physical experiments. The system’s navigation time and positioning accuracy compared with related indicators of endotracheal intubation surgery obtained significantly improved results.
Can Zero-Carbon Development be Delivered through the Existing English Legal and Policy Planning Framework?
Authors: Walton William
Published: February 2025

While there is a distinction between ‘post-growth’ and ‘zero-carbon’ as terms, it can be assumed that post-growth planning will require zero-carbon new urban development. In turn, the move to net-zero carbon emissions in England by 2050 will require significant
changes to the delivery of the built environment which incorporates large amounts of embodied carbon. This implies a central role for the statutory land use planning system. Policies and local plans will need to incorporate stricter building standards for all new buildings. Proposals for redevelopment
will need to demonstrate that the demolition and replacement of existing buildings will be more carbon efficient than retrofit and repurposing. This paper examines the role of law and policy in the context of two development proposals which turned on net-zero issues and which were ultimately
resolved in the High Court. The first concerned an attempt by a council to adopt an Area Action Plan including strict standards for the development of a new garden village in Oxfordshire and second concerned the proposed demolition and redevelopment of a flagship store in London’s Oxford
Street.
Planning for Degrowth: Insights from Shrinking Cities
Authors: Marjanović Marjan , Durrant Dan , Thompson Matthew
Published: February 2025

Urban shrinkage and degrowth are parallel processes or projects that, despite clear differences, bear striking resemblance in refocusing attention on the limits to (economic) growth; yet they are rarely related or critically compared for policy learning. This paper attempts to do just
that by exploring what insights drawn from existing empirical evidence on shrinking cities might reveal for the political project of degrowth in an increasingly uneven and exhausted capitalist world. Many cities now facing a future of low or no growth, or even chronic shrinkage, are innovating
collaborative partnerships and alternative policies for more sustainable, equitable and less damaging forms of economic development in ways which contest arguments against degrowth as unviable, ineffective or iniquitous and point in directions towards a post-growth future.
Economics of Post-Growth Planning: Cooperation and Altruism
Authors: Gabrieli Tommaso
Published: February 2025

Post-growth Planning is an intellectual agenda explicitly developed as an antithesis to the paradigm of economic growth. Cooperation and altruism are themes of economic research in antithesis to the paradigm of market-based economic relations and selfishness. Can there be fruitful dialogues
between the two fi elds? Can the more established latter inform the fast-growing former? Can formal and rigorous economics assist post-growth planning scholars? This article addresses these questions. Issues around environmental sustainability, urban commons, and common good are intrinsically
related to cooperation and altruism at the micro and at the macro level: i.e. individually, altruistic behaviour is different from the one of the selfish homo economicus, and in the aggregate, altruism can translate into a social norm of cooperation for the common good. By exploring these
links, I discuss how theoretical findings on altruism and cooperation can be used to frame postgrowth planning agendas.
What If There Were a Moratorium on New Housebuilding? An Exploratory Study with London-Based Housing Associations
Authors: Pagani Anna , Macmillan Alex , Savini Federico , Davies Michael , Zimmermann Nici
Published: February 2025

The shortage of social housing is a crucial element of the UK housing crisis. In England, social rented housing provision significantly relies on market homes construction, with detrimental impacts on residents and the environment. Moratoria are often cited in the degrowth literature
as policy tools supporting strategies to break free from growth-driven mechanisms and achieve high levels of wellbeing while reducing environmental pressures. However, the systemic effects of such a policy on housing and its potential drawbacks are at present understudied. This study explores
the extent to which a moratorium on new construction in the housing sector would be an effective, desirable, and feasible policy to address the shortage of good quality social housing. We used existing causal loop diagrams (CLDs) to formulate qualitative hypotheses on the effects of a moratorium
on the structures underpinning the construction and demolition of social housing estates. We then explored perceived obstacles or opportunities to its uptake in a workshop with four housing associations, the largest providers of social housing in England. Our CLDs suggest that a moratorium
could help to address the growth-dependent mechanisms of social housing provision, with systemic benefits for both social tenants and housing associations. However, the workshop revealed that its adoption would depend on whether the maintenance, repair, and retrofit of the existing stock could
off set the perceived advantages of new construction (e.g. quality, quantity, adequacy). Through the use of systems thinking tools, our findings support dialogue around alternatives to the growth-dependent paradigm undermining housing provision within planetary boundaries.
Factors driving digital transformation: Technological, organizational, and environmental perspectives from Jordanian banks
Authors: O. Al-Smadi Mohammad
Published: February 2025

In recent years, the digital transformation of financial institutions has gained the attention of researchers and practitioners all over the world. This study investigates the impact of organizational, environmental, and technological factors on the digital transformation process of Jordanian banks. The approach used in this study is quantitative, and an online questionnaire was forwarded to employees in 15 Jordanian banks. The convenience sampling method was utilized to collect data from 286 participants with a response rate of 35%. Partial least squares structural equation modeling was used for analysis. The results show a significant positive relationship between organizational, environmental, and technological factors and digital transformation, which confirmed the imperative role of organizational, technological, and environmental factors in the digital transition process in Jordanian banks. The results highlight the need for Jordanian banks to develop explicit strategies that involve the integration of new technologies, regulatory frameworks that encourage modern technology adoption, and dealing with different environmental factors. The study thus proposes recommendations for Jordanian banks to achieve maximum benefit from digital transformation and manage the difficulties arising from this transformation in the changing banking sector.
Impact of sales methods on profitability in the Japanese software industry: Resource allocation perspectives
Authors: Ishikawa Takaaki , Gemba Kiminori , Oda Tetsuaki
Published: February 2025

This study investigates how sales methods, service management, and resource allocation influence the operating profit margins of Japanese software companies, with a focus on marketing strategies and profitability improvement. While Japan’s software market continues to grow, domestic companies face challenges such as low profit margins, reliance on subcontracting, and declining international competitiveness. Using data from 124 software companies listed in the Nikkei industry-specific section between 2021 and 2023, this study employs multivariate regression analysis to identify actionable strategies for enhancing profitability.The results reveal that the selling, general, and administrative (SG&A) expense ratio negatively affects operating profit margins, emphasizing the importance of cost control. Companies that adopt indirect sales channels achieve significant cost efficiency, improving profit margins (coefficient: -0.1363). Furthermore, while the ratio of sales growth to gross profit growth positively influences profitability (coefficient: 0.0084), its effect is relatively modest. In contrast, the revenue efficiency ratio emerges as the most influential factor, where a 1% improvement corresponds to a 0.72% increase in operating profit margins (coefficient: 0.7166). These findings underscore the critical role of optimizing resource allocation and aligning sales strategies with marketing objectives to achieve sustainable profit growth.This study contributes to the literature by integrating marketing-oriented strategies with operational efficiency, addressing the often-overlooked interplay between these factors. By offering practical insights into channel strategies, cost optimization, and resource allocation, this research provides a roadmap for Japanese software companies to strengthen their competitiveness in both domestic and international markets.
The effectiveness of modern methods for visualizing the consolidation of bone fractures (literature review)
Authors:   Tambov State University named after G.R. Derzhavin, N. Yamshikov Oleg , V. Emelyanova Natalia ,   Tambov State University named after G.R. Derzhavin, A. Emelyanov Sergey ,   Tambov State University named after G.R. Derzhavin, V. Chumakov Roman ,   Tambov State University named after G.R. Derzhavin, A. Dolgov Dmitriy ,   Tambov State University named after G. R. Derzhavin
Published: February 2025

A review of the problems of assessing the degree of bone fractures’ consolidation and ways to resolve them is made. Currently, trauma is the third leading cause of death in Russia. Moreover, bone trauma often occurs in people of working age and has severe outcomes, leading the patient to loss of ability to work and disability. Thus, an important medical and social task in traumatology is the organization of the treatment process, namely monitoring the quality of treatment and assessing the degree of consolidation of bone injury using modern methods of radiation diagnostics: radiology, CT, ultrasound, MRI. The purpose of the review is to assess, based on a review of the literature and consideration of data from radiological diagnostic methods, the informativeness of radiological methods in assessing bone tissue consolidation. In modern medicine, the main diagnostic method for assessing the degree of consolidation of fractures is radiography. CT and DECT expand the possibility of research, making it possible to assess the condition of bone tissue from the first day of the fracture until complete recovery, thereby reducing the time of limb immobilization and reducing the risk of complications of the fracture, leading to disability of the patient. For more extensive monitoring of the reparative process in bone tissue, ultrasound is used, which complements the X-ray method and allows frequent use due to the lack of radiation, which is especially important for certain groups of patients. Based on the above, in order to improve the quality of patient treatment, it is advisable in clinical practice to use complex diagnostics to assess the degree of fracture consolidation.
Modern concepts on the main links in pathogenesis of surgical endotoxicosis (literature review)
Authors:   Ulyanovsk State University, V. Midlenko Oleg , A. Arkhireeva Anastasia ,   Ulyanovsk State University, I. Midlenko Vladimir ,   Ulyanovsk State University, E. Parmenov Aleksandr ,   Ulyanovsk Regional Clinical Center for Specialized Types of Medical Care, I. Chavga Andrey ,   Ulyanovsk State University
Published: February 2025

Most of the pathological processes occurring in the human body, accompanying surgical pathology, pose a big problem for intensive care, due to the occurrence of endogenous intoxication syndrome, which determines the severity of the disease, leads to a deterioration in the general condition of the body and worsens the prognosis of the disease. Mortality reaches high figures, and treatment often becomes protracted and ineffective. Despite the fact that the problem of endotoxicosis has long been the object of close study by scientists around the world, new data are constantly emerging that contribute to a deep understanding of the etiology and mechanisms of pathogenesis, as well as the stages of development of the pathological process, which can be targeted by therapeutic and surgical methods of correction. Modern ideas about the microbiome of the human body, obtained on the basis of experimental data and the study of molecular mechanisms of interaction, allow us to re-evaluate the functioning of the macroorganism in the conditions of the development of endotoxicosis and the ways of forming colonization resistance. The literature of recent years provides evidence that the human microbiota can act as both a factor of aggression and an effective barrier to exogenous infection. Knowledge is growing about the role of endotoxins of pathogenic microflora in maintaining the activity of the immune system, more information is being accumulated about alteration of the intestinal mucosa and macromolecular mechanisms of disruption of tight junctions of cells of the intestinal mucosa in the development of microbial translocation as another factor aggravating the course of the pathological process. The study of factors and mechanisms of progression of endogenous intoxication has remained a priority in the development of modern science for many years.
Analisis Financial Distress Dengan Altman Z-Score
Authors: Lubis Haikal Yasin , Aisjah Siti
Published: February 2025

The objective of this quantitative descriptive study is to analyze the indication of financial distress in cigarette manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2019-2022 period. The indication was based on the increments in cigarette excise tax. Altman Z-Score was used since the samples are public manufacturing companies. The results of the analysis indicate that PT Gudang Garam Tbk and PT HM Sampoerna Tbk was never under financial distress during the research period. However, their Z-Scores were fluctuating, which suggest them to improve and enhance several financial ratios. Further, PT Wismilak Inti Makmur Tbk also never had any financial distress during the period. In fact, its Z-Scores were stable and tended to increase, requiring the company to maintain and even increase its financial performance. PT Bentoel Internasional Investama Tbk and PT Indonesian Tobacco Tbk were once in grey area and experienced financial distress for two consecutive years during the research period.
 
Abstrak
Penelitian ini bertujuan untuk menganalisis indikasi financial distress pada perusahaan manufaktur sub sektor rokok yang terdaftar di Bursa Efek Indonesia (BEI) periode 2019-2022 yang didasarkan atas fenomena peningkatan tarif cukai rokok. Penelitian ini termasuk penelitan deskriptif dengan pendekatan kuantitatif. Alat analisis yang digunakan adalah Altman Z-Score (1968) karena dibuat dengan menggunakan perusahaan manufaktur go public sebagai sampel. Hasil penelitian menunjukkan bahwa PT Gudang Garam Tbk dan PT HM Sampoerna Tbk tidak mengalami financial distress pada periode 2019-2022 tetapi memiliki Z-Score yang mengalami penurunan sehingga perlu memperbaiki dan meningkatkan beberapa rasio keuangan. PT Wismilak Inti Makmur Tbk juga tidak mengalami financial distress pada periode 2019-2022 tetapi memiliki Z-Score yang relatif stabil dan meningkat sehingga harus mempertahankan maupun meningkatkan kinerja keuangannya. Di sisi lain, PT Bentoel Internasional Investama Tbk dan PT Indonesian Tobacco Tbk pernah berada di grey area dan mengalami financial distress selama 2 tahun berturut-turut pada periode 2019-2022.