Research Applications Research Articles

Physicochemical Characterisation of Seeds, Oil and Defatted Cake of Three Hempseed Varieties Cultivated in Spain.

The increasing use of hempseed in food products highlights the need for a comprehensive database for scientific research and industrial applications. In food development, information about the techno-functional properties of raw materials plays a crucial role in determining the suitability of each product for specific applications. Thus, this study aims to characterise three hempseed varieties (Ferimon, Henola and Uso-31), comparing their physicochemical and nutritional compositions. Moreover, the study investigates the impact of hempseed varieties on the techno-functional, physical and thermal properties of the partially defatted hempseed flours (PDHFs) obtained from single screw pressing (SSP) oil extraction. The fatty acid and tocopherol profiles of the dehulled seeds and oil were also analysed. Significant variations in yield and physical properties were observed among hempseed varieties, influenced by genetics, adaptation to agro-climatic conditions and cultivation systems. Despite its lower yield (kg/ha), Uso-31 exhibited superior 1000-seed weight, dehulling yield and larger mean seed size (1.79 ± 0.02 mm). Hempseed oil was rich in unsaturated fatty acids, particularly linoleic (51.2-53.4 g/100 g oil) and α-linolenic (14.88-18.97 g/100 oil) acids, showing variations in γ- and α-tocopherols depending on the variety. The variety also influenced the least gelation concentration (LGC) and techno-functional properties such as water absorption capacity (WAC), emulsifying activity (EA) and emulsion stability (ES). SDS-PAGE and DSC measurements indicated the presence of 11S and 7S globulin proteins with denaturation temperatures above 87.8 °C. These findings confirm that the studied hempseed flours are valuable techno-functional and nutritional ingredients suitable for sustainable food formulations.

The use of XR technology in criminological research: a scoping review

Abstract Objectives Criminology has begun to use virtual reality (VR) as a tool to understand criminal behaviour. There have been many advances in VR that open up the possibility of novel research designs, in addition to the inclusion of augmented reality (AR) as a potential research tool. A review of the efficacy of the use of AR and VR (together known as XR) within criminology is now required to guide the further development of this field. Methods We employed a scoping review, which after screening, incorporated 41 papers for review. Results We uncovered three important characteristics for the papers: research topics for which XR is employed, the prominence of VR research over AR and XR and methodological rigour. VR is mostly employed for creating scenarios, in particular in research on memory and aggression. Studies vary greatly in their use of interaction within VR scenes, description of technical specifications and sample sizes. Conclusions Despite the identification of some methodological limitations in the existing literature, VR has found its place in criminological research. With technological advancement, AR may also find its place in the future, allowing for the ongoing development of research applications. Creating comprehensive guidelines on how to use XR technology in criminology remains necessary.

A simple and effective method to remove pigments from heterologous secretory proteins expressed in Pichia pastoris

Pichia pastoris is a popular yeast host for high-level heterologous expression of proteins on an industrial scale owing to its reliable expression, robust growth, high fermentation density, and easy genetic manipulation and cultivation at a relatively low cost. Of particular interest is its high secretion efficiency for small proteins including insulin, human serum albumin, vaccines, enzymes, and llama-derived heavy-chain only antibodies (nanobodies) for pharmaceutical and research applications. However, a recurring challenge in using P. pastoris heterologous secretory proteins is the co-purification of a sticky, yellow pigment which has been identified as a tetra-benzoyl disaccharide. Current methods for pigment removal involve crystallization of the heterologous secretory protein, active carbon absorption, and chromatography using cation exchange and hydrophobic interaction. Here, we present a simple and effective method to remove the yellow pigment, demonstrated with divalent nanobodies targeting SARS-CoV-2. The method entails capturing the nanobody on an affinity column and subsequent washing with the zwitterionic detergent lauryldimethylamine N-oxide (LDAO). We anticipate the method become generally useful to remove pigments from secretion proteins produced in P. pastoris, offering a practical solution to enhance the purity of heterologous proteins in various biotechnological applications.

Application of fuzzy-set qualitative comparative analysis (fsQCA) in hospitality and tourism research: a bibliometric study

PurposeFuzzy-set qualitative comparative analysis (fsQCA) is explored as a transformative tool rooted in complexity theory, shedding light on uncertainties shaping real-world decisions in tourism, with a focus on its application in the hospitality domain.Design/methodology/approachThis study systematically evaluates fsQCA’s application in hospitality and tourism research, employing bibliometric analysis to scrutinize the published literature since its induction in 2011. The research seeks to understand the evolving usage by qualitatively reviewing impactful studies based on total citations.FindingsThe study reveals the ascendancy of fsQCA as a predominant approach in hospitality and tourism studies, particularly in illuminating decision-making paradigms in key sectors like destination and hotel selections and entrepreneurial orientations. However, an absence of fsQCA applications in gastronomy and wine tourism is identified, signaling uncharted territories for future inquiry.Research limitations/implicationsTheoretical implications include paradigm shifts to complexity theory, configural analysis and asymmetric algorithms. Practical implications involve improved decision-making and tailored marketing, benefiting industry practitioners. Limitations include potential academic bias, while future research suggests exploring sub-sectors, sustainability and emerging technologies.Originality/valueThis study identifies gaps in the fsQCA application and pioneers its examination within the hospitality domain, offering a unique perspective on understanding intricate relationships and configurations among variables. The study emphasizes the efficacy of asymmetric methodologies in elucidating behavioral nuances in hospitality and tourism, providing a foundation for future inquiries to expand horizons and unravel the nuanced applications of fsQCA in this research domain.

From theory to practice: challenges and rewards of implementing ketogenic metabolic therapy in mental health.

This perspective article delves into the implementation of Ketogenic Metabolic Therapy (KMT) by a mental health counselor who attempts to bridge the gap between emerging research and real-world clinical application. Grounded in the author's clinical experiences, the article communicates the potential of KMT in mental health care, highlighting both its therapeutic promise and the insights gained from hands-on patient interactions. While the adoption of KMT necessitates adjustments in societal, emotional, and dietary domains, especially within diverse mental health contexts, these challenges are surmountable with appropriate guidance and support. The article encourages the capture of qualitative data alongside quantitative measures and advocates for an approach that considers the broader implications of improved mental well-being on families and communities. As the field advances, interdisciplinary collaborations between researchers and clinicians will be pivotal in refining and expanding the application of KMT, ultimately enhancing patient outcomes and elevating the standard of mental health care.

Evaluating the impact of the supporting the advancement of research skills (STARS) programme on research knowledge, engagement and capacity-building in a health and social care organisation in England

ObjectivesTo evaluate the impact a novel education programme - to improve research engagement, awareness, understanding and confidence - had on a diverse health and social care workforce. Barriers and facilitators to engagement were explored together with research capacity-building opportunities and ways to embed a research culture. The programme is entitled ‘Supporting The Advancement of Research Skills’ (STARS programme); the paper reports findings from a health and social care setting in England, UK.MethodsA four-level outcome framework guided the approach to evaluation and was further informed by key principles of research capacity development and relevant theory. Quantitative data were collected from learners before and after engagement; these were analysed descriptively. Semi-structured online interviews were conducted with learners and analysed thematically. A purposive sample was achieved to include a diversity in age, gender, health and social care profession, and level of attendance (regular attendees, moderate attendees and non-attenders).ResultsThe evaluation spanned 18 half-day workshops and 11 seminars delivered by expert educators. 165 (2% of total staff at Midlands Partnership University NHS Foundation Trust (MPFT)) staffs booked one or more education sessions; 128 (77%) including Allied Health Professionals (AHPs), psychologists, nursing and midwifery, and social workers attended one or more session. Key themes of engagement with teaching sessions, relevance and impact of training and promoting a research active environment were identified with relevant sub-themes. Positive impacts of training were described in terms of research confidence, intentions, career planning and application of research skills as a direct result of training. Lack of dedicated time for research engagement, work pressures and time commitments required for the programme were key barriers. Facilitators that facilitated engagement are also described.ConclusionsFindings demonstrate the impact that a free, virtual and high-quality research education programme had at individual and organisational levels. The programme is the product of a successful collaboration between health and social care and academic organisations; this provides a useful framework for others to adapt and adopt. Key barriers to attendance and engagement spoke to system-wide challenges that an education programme could not address in the short-term. Potential solutions are discussed in relation to protecting staff time, achieving management buy-in, recognising research champions, and having a clear communication strategy.

Pharmacogenomic allele coverage of genome-wide genotyping arrays: a comparative analysis.

The use of genome-wide genotyping arrays in pharmacogenomics (PGx) research and clinical implementation applications is increasing but it is unclear which arrays are best suited for these applications. Here, we conduct a comparative coverage analysis of PGx alleles included on genome-wide genotyping arrays, with an emphasis on alleles in genes with PGx-based prescribing guidelines. Genomic manifest files for seven arrays including the Axiom Precision Medicine Diversity Array (PMDA), Axiom PMDA Plus, Axiom PangenomiX, Axiom PangenomiX Plus, Infinium Global Screening Array, Infinium Global Diversity Array (GDA) and Infinium GDA with enhanced PGx (GDA-PGx) Array, were evaluated for coverage of 523 star alleles across 19 pharmacogenes included in prescribing guidelines developed by the Clinical Pharmacogenetic Implementation Consortium and Dutch Pharmacogenomics Working Group. Specific attention was given to coverage of the Association of Molecular Pathology's Tier 1 and Tier 2 allele sets for CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, NUDT15, TPMT and VKORC1 . Coverage of the examined PGx alleles was highest for the Infinium GDA-PGx (88%), Axiom PangenomiX Plus (77%), Axiom PangenomiX (72%) and Axiom PMDA Plus (70%). Three arrays (Infinium GDA-PGx, Axiom PangenomiX Plus and Axiom PMDA Plus) fully covered the Tier 1 alleles and the Axiom PangenomiX array provided full coverage of Tier 2 alleles. In conclusion, PGx allele coverage varied by gene and array. A superior array for all PGx applications was not identified. Future comparative analyses of genotype data produced by these arrays are needed to determine the robustness of the reported coverage estimates.

A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring.

Background Breast aesthetics evaluation often relies on subjective assessments, leading to the need for objective, automated tools. We developed the Seoul Breast Esthetic Scoring Tool (S-BEST), a photometric analysis software that utilizes a DenseNet-264 deep learning model to automatically evaluate breast landmarks and asymmetry indices. Methods S-BEST was trained on a dataset of frontal breast photographs annotated with 30 specific landmarks, divided into an 80-20 training-validation split. The software requires the distances of sternal notch to nipple or nipple-to-nipple as input and performs image preprocessing steps, including ratio correction and 8-bit normalization. Breast asymmetry indices and centimeter-based measurements are provided as the output. The accuracy of S-BEST was validated using a paired t -test and Bland-Altman plots, comparing its measurements to those obtained from physical examinations of 100 females diagnosed with breast cancer. Results S-BEST demonstrated high accuracy in automatic landmark localization, with most distances showing no statistically significant difference compared with physical measurements. However, the nipple to inframammary fold distance showed a significant bias, with a coefficient of determination ranging from 0.3787 to 0.4234 for the left and right sides, respectively. Conclusion S-BEST provides a fast, reliable, and automated approach for breast aesthetic evaluation based on 2D frontal photographs. While limited by its inability to capture volumetric attributes or multiple viewpoints, it serves as an accessible tool for both clinical and research applications.

The development and diverse applications of temperature sensors in different temperature environments

This paper provides an in-depth study of the origins and trends of temperature sensors and their applications in high, low, and ambient temperature environments. Temperature sensors are crucial in industrial automation, healthcare, environmental monitoring, and other fields. This paper reviews the history of temperature sensors, from early measurement methods to advanced technologies. The use cases of temperature sensors in high-temperature environments are analyzed, emphasizing their role in ensuring equipment safety in industrial production and energy development. In low-temperature environments, temperature sensors find applications in scientific research and medical equipment, providing reliable temperature monitoring solutions. In room temperature environments, temperature sensors play a vital role in indoor temperature control and IoT applications. Three examples of temperature sensors, LM35, DS18B20, and DHT22, in different environments are introduced in detail. An in-depth analysis of the advantages and disadvantages of these sensors is provided, along with their specific uses in practical applications. This paper offers a comprehensive examination of temperature sensors, their historical development, and their diverse applications in various temperature environments. The analysis and presentation of specific sensor examples contribute to a deeper understanding of temperature sensing technology and its practical implications.

Mueller matrix-based characterization of cervical tissue sections: a quantitative comparison of polar and differential decomposition methods.

Quantitative optical polarimetry has received considerable recent attention owing to its potential for being an efficient diagnosis and characterizing tool with potential applications in biomedical research and various other disciplines. In this regard, it is crucial to validate various Mueller matrix (MM) decomposition methods, which are utilized to extract and quantify the intrinsic individual polarization anisotropy properties of various complex optical media. To quantitatively compare the performance of both polar and differential MM decomposition methods for probing the structural and morphological changes in complex optical media through analyzing their intrinsic individual polarization parameters, which are extracted using the respective decomposition algorithms. We also intend to utilize the decomposition-derived anisotropy parameters to distinguish among the cervical tissues with different grades of cervical intraepithelial neoplasia (CIN) and to characterize the healing efficiency of an organic crystal. Polarization MM of the cervical tissues with different grades of CIN and the different stages of the self-healing crystal are recorded with a home-built MM imaging setup in the transmission detection geometry with a spatial resolution of . The measured MMs are then processed with both the polar and differential MM decomposition methods to extract the individual polarization parameters of the respective samples. The derived polarization parameters are further analyzed to validate and compare the performance of both the MM decomposition methods for probing and characterizing the structural changes in the respective investigated optical media through their decomposition-derived intrinsic individual polarization properties. Pronounced differences in the decomposed-derived polarization anisotropy parameters are observed for cervical tissue sections with different grades of CIN. While a significant increase in the depolarization parameter is obtained with the increment of CIN stages for both the polar [ for CIN grade one (CIN-I) and for CIN grade two (CIN-II))] and differential ( for CIN-I and for CIN-II) decomposition methods, a trend reversal is seen for the linear diattenuation parameter , indicating the structural distortion in the cervical morphology due to the CIN disease. More importantly, with the differential decomposition algorithm, the magnitude of the derived parameter decreases from 0.26 to 0.19 with the progression of CIN, which was not being probed by the polar decomposition method. Our results demonstrate that the differential decomposition of MM holds certain advantages over the polar decomposition method to characterize and probe the structural changes in the cervical tissues with different grades of CIN. Although the quantified individual polarization parameters obtained through both the MM decomposition methods can be used as useful metrics to characterize various optical media, in case of complex turbid media such as biological tissues, incorporation of the differential decomposition technique may yield more efficient information. Also, the study highlights the utilization of MM polarimetry with an appropriate decomposition technique as an efficient diagnostic and characterizing tool in the realm of biomedical clinical research, and various other disciplines.

Intraoperative Flow Cytometry for the Rapid Diagnosis and Validation of Surgical Clearance of Non-Melanoma Skin Cancer: A Prospective Clinical Feasibility Study.

Non-melanoma skin cancer (NMSC) is the most prevalent cancer in humans, with a high global incidence. We present a prospective clinical feasibility study on the use of intraoperative flow cytometry (iFC) for the instant diagnosis of NMSC and its complete surgical clearance. Flow cytometry, a laser-based technique, quantifies cell features, which has applications in cancer research. This study aim is to explore the potential applicability of iFC in detecting and characterizing NMSC and its surgical margins. In total, 30 patients who underwent diagnosis for NMSC were recruited. The method demonstrated high sensitivity (95.2%) and specificity (87.1%), with an accuracy of 91.1%, as confirmed with a receiver operating characteristic curve analysis. The results also indicated that most tumors were diploid, with two cases being hypoploid. The average G0/G1 fractions for normal and tumor tissue samples were 96.03 ± 0.30% and 88.03 ± 1.29%, respectively, with the tumor index escalating from 3.89 ± 0.30% to 11.95 ± 1.29% in cancerous cells. These findings underscore iFC's capability for precise intraoperative NMSC characterization and margin evaluation, promising enhanced complete tumor excision rates. Given the technique's successful application in various other malignancies, its implementation in NMSC diagnosis and treatment holds significant promise and warrants further research in clinical trials.

Targeting antibiotic pollution: an investigation of azithromycin in wastewater by electrochemical surface-enhanced Raman spectroscopy

Azithromycin is a macrolide antibiotic that is commonly prescribed to treat infections of the skin, soft tissues, and the upper and lower respiratory tracts. Many antibiotics, including azithromycin, are overprescribed, leading to elevated concentrations of these drugs in bodies of water; this phenomenon is referred to as antibiotic pollution. Antibiotic pollution is increasingly concerning, due to its implications for the development of antibiotic resistance and its potential ecotoxicity. Rapid detection of azithromycin in wastewater could be important for addressing antibiotic pollution. This research highlights the development of a direct electrochemical surface-enhanced Raman spectroscopy method for the detection of azithromycin in synthetic wastewater. The coupling of electrochemistry and surface-enhanced Raman spectroscopy allowed enhanced detection of azithromycin and its derivatives in wastewater. To the best of our knowledge, this is the first report of direct detection of azithromycin using electrochemical surface-enhanced Raman spectroscopy. This novel detection method has promising application in future research concerning antibiotic pollution.

Construction 4.0: A comparative analysis of research and practice

This paper presents an overview of the existing literature on Construction 4.0 technologies over the past decade and their most common applications in both research and practice, aimed at achieving three objectives. First, the search for the most relevant articles on Construction 4.0, published in the scientific literature, and small firms that are developing and delivering 4.0 technologies in the construction industry allows to identify the numerous applications associated with Construction 4.0. Second, the applications found in the scientific literature and those identified in practice are classified and compared based on a framework consisting of three distinct axes. Third, the classification framework highlights current research trends and potential areas for future research, which can be summarized as follows: (i) development of hybrid digital solutions; (ii) alignment with effective collection of more structured data, smart interactive web technologies, robotics, autonomous systems, and intelligent built assets; and (iii) strengthen the capacities of artificial intelligence and machine learning.

High-Performance Hardware Implementation of the Saber Key Encapsulation Protocol

Information is pivotal in contemporary society, highlighting the necessity for a secure cryptographic system. The emergence of quantum algorithms and the swift advancement of specialized quantum computers will render traditional cryptography susceptible to quantum attacks in the foreseeable future. The lattice-based Saber key encapsulation protocol holds significant value in cryptographic research and practical applications. In this paper, we propose three types of polynomial multipliers for various application scenarios including lightweight Schoolbook multiplier, high-throughput multiplier based on the TMVP-Schoolbook algorithm and improved pipelined NTT multiplier. Other principal modules of Saber are designed encompassing the hash function module, sampling module and functional submodule. Based on our proposed multiplier, we implement the overall hardware circuits of the Saber key encapsulation protocol. Experimental results demonstrate that our overall hardware circuits have different advantages. Our lightweight implementation has minimal resource consumption. Our high-throughput implementation only needs 23.28 μs to complete the whole process, which is the fastest among the existing works. The throughput rate is 10,988 Kbps and the frequency is 416 MHz. Our hardware implementation based on the improved pipelined NTT multiplier achieved a good balance between area and performance. The overall frequency can reach 357 MHz.

Metabolite profiling and in-silico studies show multiple effects of insecticidal actinobacterium on Spodoptera littoralis

The polyphagous pest, Spodoptera littoralis (Boisduval), poses a significant global economic threat by gregariously feeding on over a hundred plant species, causing substantial agricultural losses. Addressing this challenge requires ongoing research to identify environmentally safe control agents. This study aimed to elucidate the insecticidal activity of the metabolite (ES2) from a promising endophytic actinobacterium strain, Streptomyces sp. ES2 EMCC2291. We assessed the activity of ES2 against the eggs and fourth-instar larvae of S. littoralis through spectrophotometric measurements of total soluble protein, α- and β-esterases, polyphenol oxidase (PPO), and catalase enzyme (CAT). The assessments were compared to commercial Biosad® 22.8% SC. Untargeted metabolomics using LC-QTOF-MS/MS identified 83 metabolic compounds as chemical constituents of ES2. The median lethal concentration (LC50) of ES2 (165 mg/mL) for treated Spodoptera littoralis eggs showed significant differences in polyphenol oxidase and catalase enzymatic activities, while the LC50 of ES2 (695 mg/mL) for treated S. littoralis fourth instar larvae showed lower significance in α- and β-esterase activities. Molecular docking of ES2 identified seven potent biocidal compounds, showing strong affinity to PPO and catalase CAT proteins in S. littoralis eggs while displaying limited binding to alpha and beta esterase proteins in the larvae. The results contribute to the understanding of ES2 as a promising alternative biopesticide, providing insights for future research and innovative applications in sustainable pest management strategies.

State regulation of negative infrastructure-related externalities in the system of land relations

The subject of the study is the system of land relations in Russia, the imperfection of which gives rise to negative infrastructural externalities caused by the modernization and development of linear engineering infrastructure The objective of the work is to develop methods for state regulation of the external effects, the main one of which is internalization through land taxation. In the work the concept of “negative infrastructure-related externalities”, their structure and economic nature in land relations are introduced. Also the consequences of negative infrastructure-related externalities on the economic interests of owners of encumbered land plots are determined. To overcome those issues the economic mechanism for regulating the use of land resources and their redistribution is developed. The scope of application of research results covers a lot of long-term aims: from the differentiation of land taxation for the internalization of negative infrastructure-related externalities to territorial planning at all levels.

Advancing the Science of Palliative Care: Contributions of the Palliative Care Research Cooperative Group.

The Palliative Care Research Cooperative Group (PCRC) formed to lead, catalyze, and empower a community of scientists to build an evidence base to ensure high-quality care and optimal well-being for persons with serious illness and their caregivers. The PCRC grew to 630 members representing 220 distinct sites. The PCRC awarded 44 pilot grant awards (total investment $1.4 million), resulting in $15.8 million in extramural grant funding, supported monthly webinars, an annual mentorship selective, "Clinical Trials Intensives," research consultation, and grant review. Among the 169 Clinical Trials Intensive participants, 74 subsequently achieved extramural grant award funding with direct costs of over $139 million. The PCRC supported the submission of extramural research applications and fostered community through annual meetings, special interest groups, newsletters, and its website. The PCRC filled an important void in serious illness science and set the stage for the next era of advancing serious illness research.

Sounding out the dynamics: a concise review of high-speed photoacoustic microscopy.

Photoacoustic microscopy (PAM) offers advantages in high-resolution and high-contrast imaging of biomedical chromophores. The speed of imaging is critical for leveraging these benefits in both preclinical and clinical settings. Ongoing technological innovations have substantially boosted PAM's imaging speed, enabling real-time monitoring of dynamic biological processes. This concise review synthesizes historical context and current advancements in high-speed PAM, with an emphasis on developments enabled by ultrafast lasers, scanning mechanisms, and advanced imaging processing methods. We examine cutting-edge innovations across multiple facets of PAM, including light sources, scanning and detection systems, and computational techniques and explore their representative applications in biomedical research. This work delineates the challenges that persist in achieving optimal high-speed PAM performance and forecasts its prospective impact on biomedical imaging. Recognizing the current limitations, breaking through the drawbacks, and adopting the optimal combination of each technology will lead to the realization of ultimate high-speed PAM for both fundamental research and clinical translation.

Optimizing Current Injection Technique for Enhancing Resistivity Method

Geo-electrical resistivity methods are widely used in various fields and have significant applications in scientific and practical research. Despite the widespread use of resistivity methods, current injection is a critical step in the process of resistivity methods, and the quality of current injection significantly impacts the accuracy of the resistivity measurements. One primary challenge is optimizing current injection techniques to enhance resistivity methods. The developed current injector model for the resistivity meter instrument enhances performance by increasing the voltage source to 400 Volts, extending measurement coverage. It provides three injection current options, 0.5A, 0.8A, and 1A, for efficient accumulator use, considering electrode distances and estimating earth resistance using Contact Resistance Measurement (CRM) to estimate the earth resistance. CRM mode ensures proper electrode connection before injection, thus improving measurement efficiency. The embedded TTGO LoRa ESP32 SX1276 facilitates wireless communication over 1.5 km, addressing challenges in remote and internet-limited areas. The model demonstrates reliability, validity, and durability in CRM mode and current injection measurement. Regarding reliability, we determine the relative error of the model by carrying out measurements repeatedly. In lab-scale testing, the average Relative Error in CRM mode is 0.65%, and in earth resistance measurement testing, it is 1.58%. These relative errors are below the 2% maximum error applied in the “Supersting”, a commercial resistivity instrument. The model's validity is defined by comparing the model with the measuring instrument; we have absolute error. In lab scale testing, the average Absolute Error in CRM mode is 3.08%, and in earth resistance measurement testing, it is 3.73%. The model's durability is tested by injecting current for a minute. After one minute of current injection, the power resistor component's temperature is stable at 30°C.

Dynamical Systems Research (DSR) in Psychotherapy: A Comprehensive Review of Empirical Results and Their Clinical Implications

In psychotherapy research, the first applications of dynamical systems research (DSR) date back to the 1990s. Over time, DSR has developed three main lines of research: the study of oscillations in synchronization; the study of oscillations between stability and flexibility of process variables (S–F oscillations); the mathematical modeling to analyze the evolution of psychotherapy process. However, the connections among the empirical results and their implications for psychotherapy practice are unclear. For this reason, for the first time in the literature, this work carries out a comprehensive review of all three lines of research, including the main scientific contributions from the 1990s to the present day. For each line of research, the work critically analyzes the results, proposes future developments, and underlines the connections between empirical results and implications for psychotherapy practice. Furthermore, the work highlights the model of change that emerges from the empirical results, and its clinical correlates. In the conclusions, the author summarizes the results and the evolution of psychotherapy process in accordance with the DSR.