Common Challenges Research Articles

Microbial Pathway Thermodynamics: Stoichiometric Models Unveil Anabolic and Catabolic Processes.

The biotechnological exploitation of microorganisms enables the use of metabolism for the production of economically valuable substances, such as drugs or food. It is, thus, unsurprising that the investigation of microbial metabolism and its regulation has been an active research field for many decades. As a result, several theories and techniques were developed that allow for the prediction of metabolic fluxes and yields as biotechnologically relevant output parameters. One important approach is to derive macrochemical equations that describe the overall metabolic conversion of an organism and basically treat microbial metabolism as a black box. The opposite approach is to include all known metabolic reactions of an organism to assemble a genome-scale metabolic model. Interestingly, both approaches are rather successful at characterizing and predicting the expected product yield. Over the years, macrochemical equations especially have been extensively characterized in terms of their thermodynamic properties. However, a common challenge when characterizing microbial metabolism by a single equation is to split this equation into two, describing the two modes of metabolism, anabolism and catabolism. Here, we present strategies to systematically identify separate equations for anabolism and catabolism. Based on metabolic models, we systematically identify all theoretically possible catabolic routes and determine their thermodynamic efficiency. We then show how anabolic routes can be derived, and we use these to approximate biomass yield. Finally, we challenge the view of metabolism as a linear energy converter, in which the free energy gradient of catabolism drives the anabolic reactions.

Pilot study on cultural and metagenomic analysis of bile and biliary stentslead to unveiling the key players in stent occlusion

Endoscopic Retrograde Cholangio-Pancreatography (ERCP) with biliary stenting is a minimally invasive medical procedure employed to address both malignant and benign obstructions within the biliary tract. Benign biliary strictures (BBSs), typically arising from surgical interventions such as liver transplants and cholecystectomy, as well as chronic inflammatory conditions, present a common clinical challenge. The current gold standard for treating BBSs involves the periodic insertion of plastic stents at intervals of 3–4 months, spanning a course of approximately one year. Unfortunately, stent occlusion emerges as a prevalent issue within this treatment paradigm, leading to the recurrence of symptoms and necessitating repeated ERCPs. In response to this clinical concern, we initiated a pilot study, delving into the microbial composition present in bile and on the inner surfaces of plastic stents. This investigation encompassed 22 patients afflicted by BBSs who had previously undergone ERCP with plastic stent placement. Our preliminary findings offered promising insights into the microbial culprits behind stent occlusion, with Enterobacter and Lactobacillus spp. standing out as prominent bacterial species known for their biofilm-forming tendencies on stent surfaces. These revelations hold promise for potential interventions, including targeted antimicrobial therapies aimed at curtailing bacterial growth on stents and the development of advanced stent materials boasting anti-biofilm properties.

I think they just logged on and fell asleep: Challenges to facilitating creativity online in higher engineering education

Creativity is a crucial skill for future engineers. Hence, it is becoming increasingly important for higher education (HE) engineering educators to foster and enhance engineering students' creative abilities. Simultaneously, online learning has found a place in engineering education. Nevertheless, we find that HE engineering educators in all domains continue to express a sense of inadequacy when it comes to fostering creativity in hybrid and online learning environments. This sentiment persists despite the existence of scholarly work that suggests strategies for addressing these challenges. In this paper, we assume that the rationale behind this is that the proposed pedagogical approaches are primarily established through conceptual reflections, whereas the perspective of the HE engineering educators on the perceived barriers has thus far been largely neglected. Therefore, we present a study that uses data from experience interviews and focus group techniques involving 71 HE engineering educators from Ireland, Germany, Denmark and Turkey to identify the common challenges that HE engineering educators perceive when facilitating creativity in online and hybrid classroom environments. These are used to extend theory by developing a four‐field conceptual model organizing the eight overarching challenges encountered. This model can be used as a basis for defining measures to support HE engineering educators in facilitating creativity online and serves as a guide for future research studies.

Disparities in pre-health advising across California's public universities.

The Supreme Court's decision in Students for Fair Admissions, Inc., v. Harvard College is likely to result in the matriculation of fewer students from historically excluded racial/ethnic groups at more selective colleges and universities and matriculation of more students at less selective colleges and universities. Because of this, it is important to understand how resources for pre-health advising, a modifiable factor that can help increase the diversity of the health workforce, vary across institutions with differing levels of selectivity. Colleges are known to vary in resources, structure, and investment in pre-health advising but data are lacking and there is no estimate of any pre-health advising resource gap. To quantify availability of advising resources and identify perceived challenges in pre-health advising in California's highly diverse public and select private undergraduate institutions. Structured 60-minute Zoom interviews from June 2022 -October 2022 at 18/23 CSU (California State Universities), 9/9 University of California (UC) institutions and 6 select private institutions with varying levels of selectivity. Two investigators independently analyzed interviews using a Grounded Theory Approach. The full study team reviewed transcripts and themes. Pre-health advisor capacity varied greatly across the three types of institutions. CSU: mean = 1 FTE advisor: 24,620 graduates (range: 1: 1,059-1: 150,520); UC mean = 1 FTE advisor: 4,526 graduates (range: 1: 1,912-1: 10,920); private institutions mean = 1 FTE advisor:1,794 graduates (range: 1: 722-1: 5,300). Participants reported common challenges: advising capacity, lack of advisor training, advisor turnover, and student difficulties in accessing clinical opportunities and required coursework. CSU and UC participants noted that these had greatest impact for first generation and racially/ethnically underrepresented students for whom lack of informal professional networks, lack of other mentors, and financial responsibilities complicate college navigation and professional school application. Students at CSU campuses had 5 times less access to pre-health advising per graduate than UC students, and 13 times less than students at private institutions. Much greater investment is needed in California's public institutions, particularly CSUs, to increase equity in access to advising for pre-health professional students. Research should examine pre-health advising resource capacity in other states, especially those that are now facing race-neutral admissions policies at undergraduate institutions and health professions schools.

'Communication is difficult': Speech, language and communication needs of people with young onset or rarer forms of non-language led dementia.

People with behavioural variant frontotemporal dementia, Lewy body dementia, posterior cortical atrophy and young onset Alzheimer's disease may experience language and communication difficulties. However, the role of speech and language interventions for people with these non-language led dementias has received little attention. This study aimed to explore the experiences and perspectives of people living with these conditions, and their families, regarding their language and communication difficulties and how speech and language therapy could address these needs. This study employed a qualitative design to explore the experiences of people living with or caring for somebody with behavioural variant frontotemporal dementia, Lewy body dementia, posterior cortical atrophy or young onset Alzheimer's disease, and to understand their opinions about speech and language therapy. Participants were recruited from a support service connected to a dementia clinic to attend one of five focus group meetings. Videorecorded focus groups and interviews were transcribed, and reflexive thematic analysis was used to analyse data from people affected by each type of dementia. A total of 25 participants were recruited to the study, with representation across the different forms of non-language led dementias. The four main themes identified were: (1) communication difficulties as a key difficulty, (2) loss and loneliness, (3) speech and language therapy, and (4) the role of the caregiver. Sixteen subthemes were also identified which highlighted individual issues across disease types. Although all the forms of dementia studied here are not considered to be language-led, people with these conditions and/or their care partners identified speech, language and communication as common challenges. These communication difficulties were reported to have a negative impact on their social participation and mental health and participants felt speech and language interventions could help. There is a need for research exploring speech and language interventions developed for and with people with non-language led dementias and their care partners, to ensure they meet the needs of the people they are designed for. What is already known on the subject People with primary progressive aphasia present with speech, language and communication difficulties, and several speech and language interventions have been developed to meet the needs of this population. However, people with non-language led dementias may also experience speech, language and communication difficulties, and little is known about interventions that may address these difficulties. What this paper adds to existing knowledge People living with or caring for somebody with behavioural variant frontotemporal dementia, Lewy body dementia, posterior cortical atrophy and young onset Alzheimer's disease report experiencing speech, language and communication difficulties that impact on the person with dementia's social participation and mood. Participants in this study also shared their opinions about how speech and language interventions could help, from the earliest stages of the disease. What are the potential or actual clinical implications of this work? Speech and language therapists need to address the individual speech, language and communication needs of people with dementias, even those that are not thought to be language-led. Current speech and language therapy service provision does not meet the needs of people with non-language led dementias and further research is required to develop interventions and services to meet these needs.

Immunoassays: Analytical and Clinical Performance, Challenges, and Perspectives of SERS Detection in Comparison with Fluorescent Spectroscopic Detection.

Immunoassays (IAs) with fluorescence-based detection are already well-established commercialized biosensing methods, such as enzyme-linked immunosorbent assay (ELISA) and lateral flow immunoassay (LFIA). Immunoassays with surface-enhanced Raman spectroscopy (SERS) detection have received significant attention from the research community for at least two decades, but so far they still lack a wide clinical commercial application. This review, unlike any other review that we have seen, performs a three-dimensional performance comparison of SERS IAs vs. fluorescence IAs. First, we compared the limit of detection (LOD) as a key performance parameter for 30 fluorescence and 30 SERS-based immunoassays reported in the literature. We also compared the clinical performances of a smaller number of available reports for SERS vs. fluorescence immunoassays (FIAs). We found that the median and geometric average LODs are about 1.5-2 orders of magnitude lower for SERS-based immunoassays in comparison to fluorescence-based immunoassays. For instance, the median LOD for SERS IA is 4.3 × 10-13 M, whereas for FIA, it is 1.5 × 10-11 M. However, there is no significant difference in average relative standard deviation (RSD)-both are about 5-6%. The analysis of sensitivity, selectivity, and accuracy reported for a limited number of the published clinical studies with SERS IA and FIA demonstrates an advantage of SERS IA over FIA, at least in terms of the median value for all three of those parameters. We discussed common and specific challenges to the performances of both SERS IA and FIA, while proposing some solutions to mitigate those challenges for both techniques. These challenges include non-specific protein binding, non-specific interactions in the immunoassays, sometimes insufficient reproducibility, relatively long assay times, photobleaching, etc. Overall, this review may be useful for a large number of researchers who would like to use immunoassays, but particularly for those who would like to make improvements and move forward in both SERS-based IAs and fluorescence-based IAs.

Territorial Cooperation and Cross-Border Development: The Portuguese Dynamics

This paper explores the effectiveness of cross-border cooperation programmes between Spain and Portugal, focusing on their impact and outcomes in Portuguese regions. Drawing on a comprehensive analysis of the programmes, the study examines the socio-economic dynamics in border regions, including job creation, population trends, and investment patterns. The research employs a mixed-methods approach, combining qualitative and quantitative data analysis. We argue that the cross-border territorial cooperation between Spain and Portugal has played a significant role in fostering regional development and addressing common challenges. While the concerted efforts have shown positive results in terms of economic growth and employment, they have not been sufficient to reverse the regressive demographic trends. Thus, it is essential to strengthen cooperation mechanisms, invest in human capital, and foster innovation so that the two countries can work together to create sustainable and inclusive development across their shared border regions.

Co-designing care for multimorbidity: a systematic review

BackgroundThe co-design of health care enables patient-centredness by partnering patients, clinicians and other stakeholders together to create services.MethodsWe conducted a systematic review of co-designed health interventions for people living with multimorbidity and assessed (a) their effectiveness in improving health outcomes, (b) the co-design approaches used and (c) barriers and facilitators to the co-design process with people living with multimorbidity. We searched MEDLINE, EMBASE, CINAHL, Scopus and PsycINFO between 2000 and March 2022. Included experimental studies were quality assessed using the Cochrane risk of bias tool (ROB-2 and ROBINS-I).ResultsWe screened 14,376 reports, with 13 reports meeting the eligibility criteria. Two reported health and well-being outcomes: one randomised clinical trial (n = 134) and one controlled cohort (n = 1933). Outcome measures included quality of life, self-efficacy, well-being, anxiety, depression, functional status, healthcare utilisation and mortality. Outcomes favouring the co-design interventions compared to control were minimal, with only 4 of 17 outcomes considered beneficial. Co-design approaches included needs assessment/ideation (12 of 13), prototype (11 of 13), pilot testing (5 of 13) (i.e. focus on usability) and health and well-being evaluations (2 of 13). Common challenges to the co-design process include poor stakeholder interest, passive participation, power imbalances and a lack of representativeness in the design group. Enablers include flexibility in approach, smaller group work, advocating for stakeholders’ views and commitment to the process or decisions made.ConclusionsIn this systematic review of co-design health interventions, we found that few projects assessed health and well-being outcomes, and the observed health and well-being benefits were minimal. The intensity and variability in the co-design approaches were substantial, and challenges were evident. Co-design aided the design of novel services and interventions for those with multimorbidity, improving their relevance, usability and acceptability. However, the clinical benefits of co-designed interventions for those with multimorbidity are unclear.

Meeting Transcriber

In a world where collaboration is increasingly digital, the efficiency and security of meetings have become paramount. Our project introduces a comprehensive online meeting platform extension that leverages advanced technologies to enhance the meeting experience. Using BERT for data classification, question answering, and summarization, along with an advanced Language Model (LLM) for data protection, we address common challenges such as information overload, language barriers, limited searchability, and a lack of actionable insights. This extension aims to revolutionize meetings, making them more productive, collaborative, and secure

International exchanges and cooperation in art education in Ukraine: challenges and opportunities

The purpose of the article is to study international exchanges and cooperation in art education in Ukraine, to identify challenges and opportunities in the development of these areas in the future. to achieve this goal, the article uses general scientific methods of analysis and synthesis. The methods of abstraction, comparison, content analysis, and the prognostic method were also used, which made it possible to formulate some comments for the future development of international cooperation in art education in Ukraine. The results of the study highlight the importance of international cooperation, which is becoming an increasingly important aspect of modern art education. The analysis of the legislative framework has shown that Ukraine has created favourable conditions for academic exchange, and joining the Bologna system contributes to the internationalisation of higher education in the arts. These trends are also reflected in the development strategies of art universities in different regions of Ukraine, such as Kharkiv, Lviv and Kyiv, where establishing international exchanges is considered an important priority for educational institutions. In addition, the Kyiv National University of Culture and Arts actively uses digital channels to transmit information, especially in remote locations. Although distance learning has its limitations in art education, the conditions of modern reality, such as Russian aggression, create an opportunity to organise international cooperation with foreign partners without physical risk. It is important to note that there are common challenges to the successful implementation of international exchanges and cooperation in art education, such as cultural and language barriers, financial support, visa and administrative restrictions, as well as academic requirements and potential global threats. However, a possible way to overcome these difficulties is to use the international experience of involving NGOs or special state structures that would coordinate the provision of grants for academic mobility of arts students. The conclusions emphasise that it is also worth considering the possibility of special digital platforms that provide opportunities for internships and distance learning, which can be an effective solution for organising international cooperation in the current situation.

Biomechanical assessment of different transforaminal lumbar interbody fusion constructs in normal and osteoporotic condition: a finite element analysis

BACKGROUND CONTEXTWith the aging population, osteoporosis, which leads to poor fusion, has become a common challenge for lumbar surgery. In addition, most people with osteoporosis are elderly individuals with poor surgical tolerance, and poor bone quality can also weaken the stability of internal fixation. PURPOSEThis study compared the fixation strength of the bilateral traditional trajectory screw structure (TT-TT), the bilateral cortical bone trajectory screw structure (CBT-CBT), and the hybrid CBT-TT (CBT screws at the cranial level and TT screws at the caudal level) structure under different bone mineral density conditions. STUDY DESIGNA finite element (FE) analysis study. METHODSAbove all, we established a healthy adult lumbar spine model. Second, under normal and osteoporotic conditions, three transforaminal lumbar interbody fusion (TLIF) models were established: bilateral traditional trajectory (TT-TT) screw fixation, bilateral cortical bone trajectory (CBT-CBT) screw fixation, and hybrid cortical bone trajectory screw and traditional trajectory screw (CBT-TT) fixation. Finally, a 500-N compression load with a torque of 10 N/m was applied to simulate flexion, extension, lateral bending, and axial rotation. We compared the range of motion (ROM), adjacent disc stress, cage stress, and posterior fixation stress of the different fusion models. RESULTSUnder different bone mineral density conditions, the range of motion of the fusion segment was significantly reduced. Compared to normal bone conditions, the ROM of the L4–L5 segment, the stress of the adjacent intervertebral disc, the surface stress of the cage, and the maximum stress of the posterior fixation system were all increased in osteoporosis. Under most loads, the ROM and surface stress of the cage and the maximum stress of the posterior fixation system of the TT-TT structure are the lowest under normal bone mineral density conditions. However, under osteoporotic conditions, the fixation strength of the CBT-CBT and CBT-TT structures are higher than that of the TT-TT structures under certain load conditions. At the same time, the surface stress of the intervertebral fusion cage and the maximum stress of the posterior fixation system for the two structures are lower than those of the TT-TT structure. CONCLUSIONUnder normal bone mineral density conditions, transforaminal lumbar interbody fusion combined with TT-TT fixation provides the best biomechanictability. However, under osteoporotic conditions, CBT-CBT and CBT-TT structures have higher fixed strength compared to TT-TT structures. The hybrid CBT-TT structure exhibits advantages in minimal trauma and fixation strength. Therefore, this seems to be an alternative fixation method for patients with osteoporosis and degenerative spinal diseases. CLINICAL SIGNIFICANCEThis study provides biomechanical support for the clinical application of hybrid CBT-TT structure for osteoporotic patients undergoing TLIF surgery.

Deep Reinforcement Learning Unleashing the Power of AI in Decision-Making

Deep Reinforcement Learning (DRL) has emerged as a transformative paradigm in the field of artificial intelligence (AI), offering unprecedented capabilities in decision-making across diverse domains. This article explores the profound impact of DRL on enhancing the decision-making capabilities of AI systems, elucidating its underlying principles, applications, and implications.DRL represents a fusion of deep learning and reinforcement learning, enabling machines to learn complex behaviors and make decisions by interacting with their environment. The utilization of neural networks allows DRL algorithms to handle high-dimensional input spaces, making it well-suited for tasks that involve intricate decision-making processes.One of the key strengths of DRL lies in its ability to address problems with sparse and delayed rewards, common challenges in traditional reinforcement learning. Through a process of trial and error, DRL algorithms can learn optimal decision strategies by navigating through a vast decision space, adapting to dynamic environments, and maximizing cumulative rewards over time.The applications of DRL span various domains, including robotics, finance, healthcare, gaming, and autonomous systems. In robotics, DRL facilitates the development of intelligent agents capable of autonomously navigating complex environments, performing intricate tasks, and adapting to unforeseen circumstances. In finance, DRL is leveraged for portfolio optimization, algorithmic trading, and risk management, demonstrating its potential to revolutionize traditional financial strategies.

Hologram Noise Model for Data Augmentation and Deep Learning

This paper introduces a noise augmentation technique designed to enhance the robustness of state-of-the-art (SOTA) deep learning models against degraded image quality, a common challenge in long-term recording systems. Our method, demonstrated through the classification of digital holographic images, utilizes a novel approach to synthesize and apply random colored noise, addressing the typically encountered correlated noise patterns in such images. Empirical results show that our technique not only maintains classification accuracy in high-quality images but also significantly improves it when given noisy inputs without increasing the training time. This advancement demonstrates the potential of our approach for augmenting data for deep learning models to perform effectively in production under varied and suboptimal conditions.

A framework for embedded software portability and verification: from formal models to low-level code

AbstractPorting software to new target architectures is a common challenge, particularly when dealing with low-level functionality in drivers or OS kernels that interact directly with hardware. Traditionally, adapting code for different hardware platforms has been a manual and error-prone process. However, with the growing demand for dependability and the increasing hardware diversity in systems like the IoT, new software development approaches are essential. This includes rigorous methods for verifying and automatically porting Real-Time Operating Systems (RTOS) to various devices. Our framework addresses this challenge through formal methods and code generation for embedded RTOS. We demonstrate a hardware-specific part of a kernel model in Event-B, ensuring correctness according to the specification. Since hardware details are only added in late modeling stages, we can reuse most of the model and proofs for multiple targets. In a proof of concept, we refine the generic model for two different architectures, also ensuring safety and liveness properties. We then showcase automatic low-level code generation from the model. Finally, a hardware-independent factorial function model illustrates more potential of our approach.

Projecting the Future Pediatric Subspecialty Workforce: Summary and Recommendations.

This article summarizes the findings of a Pediatrics supplement addressing the United States workforce for 15 pediatric subspecialties. It includes results from a microsimulation model projecting supply through 2040; growth is forecasted to be uneven across the subspecialties with worsening geographic maldistribution. Although each subspecialty has unique characteristics, commonalities include (1) the changing demographics and healthcare needs of children, including mental health; (2) poor outcomes for children experiencing adverse social drivers of health, including racism; and (3) dependence on other subspecialties. Common healthcare delivery challenges include (1) physician shortages for some subspecialties; (2) misalignment between locations of training programs and subspecialists and areas of projected child population growth; (3) tension between increasing subsubspecialization to address rare diseases and general subspecialty care; (4) the need to expand clinical reach through collaboration with other physicians and advanced practice providers; (5) the lack of parity between Medicare, which funds much of adult care, and Medicaid, which funds over half of pediatric subspecialty care; and (6) low compensation of pediatric subspecialists compared with adult subspecialists. Overall, subspecialists identified the lack of a central authority to monitor and inform child healthcare provided by pediatric subspecialists as a challenge. Future research on the pediatric subspecialty workforce and the children it serves will be necessary to ensure these children's needs are met. Together, these articles provide overarching and subspecialty-specific recommendations to improve training, recruitment, and retention of a diverse workforce, implement innovative models of care, drive policy changes, and advise future research.

Africa's Data Privacy Puzzle: Data Privacy Laws and Compliance in Selected African Countries

This study sought to give a thorough analysis of data privacy legislation, compliance rates, enforcement strategies, and related issues in seventeen (17) African countries that were chosen for the study. The study's objectives were to assess the state of data privacy laws in selected African countries, analyse levels of compliance among entities operating within these countries, assess the effectiveness of enforcement mechanisms, and identify and analyse the common challenges African countries face in complying with and enforcing data privacy laws. Researchers conducted a systematic review of 48 data privacy publications to gain a deep understanding of the complex data privacy landscape. This involved rigorous criteria for inclusion/exclusion, comprehensive search strategies, quality assessment, and data extraction/synthesis. While 15 African countries have implemented comprehensive data privacy legislation, two (Ethiopia and Burundi) rely on general regulations. The analysis found that regulatory bodies significantly enhance compliance, and highlighted recurring challenges such as insufficient public awareness, resource limitations, and complex governance structures. The research underscores the crucial role of dedicated legislation, public education, empowered regulatory authorities, and regional collaboration in guaranteeing data privacy rights in the digital age across Africa.

Intramammary treatment of clinical mastitis quarters with ceftiofur does not cause anbiotic residues in adjacent untreated quarters.

The study was carried out in dairy cows to elucidate whether treatment of clinical mastitis quarters with Spectramast® LC (ceftiofur hydrochloride, 125 mg, Zoetis) created a reason for discarding milk from adjacent untreated healthy quarters. The antibiotic was infused once daily in the affected mammary quarter for four days. Forty-nine cows were evaluated after diagnosis of clinical mastitis in three or fewer udder quarters. In all cases, quarters that did not receive treatment had milk samples collected one day after the end of treatment. All milk samples from untreated quarters were below the maximum permissible limit for the presence of antibiotic residues after analysis with the BetaStar S Combo test. Pharmacokinetic and pharmacodynamic characteristics may explain this finding. We conclude that it is feasible to use milk from untreated quarters of animals that have been treated with Spectramast® LC. We also reiterate the need to carry out tests with other pharmacological bases, and that the results found in this experiment cannot be extrapolated to other drugs.Dairy cattle have considerable importance in the development of the Brazilian economy, being directly linked to economic and social progress. In the first half of 2020, 12.1 billion liters of milk were produced in Brazil and in 2019, there was a new record of 25.01 billion liters produced (IBGE, 2020). This production comes from a wide variety of production systems, coming from smallholder farmers as well as from large companies that use the latest technologies available on the market. Dairy production is a complex activity. For one to obtain economical success, several aspects must be monitored. Maintaining the health of animals is a top priority, and the literature suggests that various diseases are a common challenge for dairy producers. Mastitis is the main disease that affects dairy cows, responsible for considerable economic loss and significant zootechnical and productive challenges (Ruegg, ). It is considered the second leading cause of cow culling in dairy herds, behind reproductive problems. Mastitis is characterized by infection of the mammary gland and may or may not occur with inflammation, generating changes in the mammary tissue and properties of the milk. It is classifield into clinical or subclinical mastitis, according to presence or absence of clinical signs, and into contagious or environmental based on the causative agent (Correa et al., ).

Effects of laser cleaning on the condition of different silk model samples using varying wavelengths and pulse durations

The cleaning of aged silk fibers poses a common challenge in the conservation of textiles, since traditional cleaning techniques often yield unsatisfactory results or even harm objects. In this regard, cleaning objects with laser radiation is a promising addition to the range of available methods. Due to it being contactless, even brittle and touch-sensitive objects with disfiguring or harmful soiling could potentially be cleaned and therefore made accessible for research and presentation. Examples of treatment have sometimes shown spectacular results. Still there is some skepticism concerning the safety of this treatment for textile materials, which has been strengthened through previous 532 nm wavelength nanosecond laser cleaning studies on silk fibers. Taking these published results into account, the range of examined laser parameters has been extended in this study, from 532 nm nanosecond laser to 1064 nm nanosecond and even 800 nm femtosecond laser, reevaluating the effect of this treatment on the fibers. The physicochemical processes taking place on the silk fibers when cleaning with lasers are complex and still not fully understood. The aim of this project was therefore to bring more clarification about potential effects of those processes on the condition of silk samples treated with a set of different parameters for wavelength, pulse duration, energy density and number of pulses per spot. It also looks at the influence of the presence of soiling on the results. The analysis of potential effects was then carried out using statistical methods and advanced analytics. Scanning electron microscopy, Fourier-transform infrared spectroscopy and colorimetry technology provided the required insights to better assess the effects. Results show that laser cleaning of silk fibers, like most other conventional cleaning techniques, is not completely without risk, but knowing what the possible effects are helps making decisions on whether the benefits of the technique used justify these risks.

Optimizing Concrete Construction: Enhancing Strength and Durability through Proper Vibrator Utilization

Concrete, known for its high compressive strength and resistance to environmental degradation, proves ideal for durable building construction if implemented correctly. Mix designers, implementers, and supervisors must comprehend concrete properties to prevent errors in construction. Vibrators play a crucial role in enhancing concrete quality and strength during casting, facilitating air removal, ensuring even distribution, and increasing density. This research evaluates the impact of vibrators on mechanical properties and strength, utilizing a hammer test to compare unconfined compressive strength in samples cast with and without vibrators. Results indicate that vibrators significantly enhance concrete compactness, reduce cracking risk, and improve pressure resistance. Additionally, they positively influence aggregate distribution and reduce porosity. Integrating vibrators into the casting process is essential, offering tangible benefits for structural performance and building durability. Practical implications include guidance on optimal vibrator use in construction projects for superior outcomes. Concrete damage poses a common challenge in construction, affecting elements like columns, beams, plates, and walls. Conducting case studies on damage causes is crucial to identify and minimize potential issues, ensuring the long-term integrity of structures.

Unlocking the Potential of Cable-Driven Continuum Robots: A Comprehensive Review and Future Directions

Rigid robots have found wide-ranging applications in manufacturing automation, owing to their high loading capacity, high speed, and high precision. Nevertheless, these robots typically feature joint-based drive mechanisms, possessing limited degrees of freedom (DOF), bulky structures, and low manipulability in confined spaces. In contrast, continuum robots, drawing inspiration from biological structures, exhibit characteristics such as high compliance, lightweight designs, and high adaptability to various environments. Among them, cable-driven continuum robots (CDCRs) driven by multiple cables offer advantages like higher dynamic response compared to pneumatic systems and increased working space and higher loading capacity compared to shape memory alloy (SMA) drives. However, CDCRs also exhibit some shortcomings, including complex motion, drive redundancy, challenging modeling, and control difficulties. This study presents a comprehensive analysis and summary of CDCR research progress across four key dimensions: configuration design, kinematics and dynamics modeling, motion planning, and motion control. The objective of this study is to identify common challenges, propose solutions, and unlock the full potential of CDCRs for a broader range of applications.