Optimal Protocol Research Articles

Development and optimization of an efficient RNA isolation protocol from bovine (Bos indicus) spermatozoa

Development and optimization of an efficient RNA isolation protocol from bovine (Bos indicus) spermatozoa

Designing secure data pipelines for medical billing fraud detection using homomorphic encryption and federated learning

Medical billing fraud imposes significant financial and operational challenges on healthcare systems, highlighting the need for robust, privacy-preserving fraud detection solutions. This study presents a secure data pipeline that integrates homomorphic encryption (HE) and federated learning (FL) to enable decentralized fraud detection while maintaining patient confidentiality. Homomorphic encryption ensures data remains protected throughout the analytical process, while federated learning facilitates collaborative model training across healthcare institutions without requiring data centralization. Key findings reveal that increasing privacy levels via differential privacy effectively reduces data leakage risks, though it introduces minor computational overhead and a slight reduction in model accuracy. Scalability tests show that larger datasets considerably increase encryption time and memory usage, underscoring the need for optimized encryption algorithms. Additionally, secure communication protocols, while essential for data integrity, result in increased latency, which may impact real-time detection capabilities. The proposed pipeline achieves a balance between security and fraud detection accuracy, demonstrating its potential for real-world applications. However, further optimization of encryption methods and secure communication protocols is essential for broader scalability. This work advances privacy-centric approaches in healthcare fraud detection, setting a foundation for developing secure, scalable fraud detection systems.

Optimization of pretreatment protocol for strontium-90 analysis in marine fish bone samples.

For systematic monitoring of radioactive nuclides in marine products, this study aimed at streamlining and simplifying the analysis method for the prominent radioisotope, strontium-90 (90Sr). The DGA chelate solid-phase extraction technique was employed for enhanced efficiency. The study focused on optimizing the necessary pretreatment procedures while minimizing the steps involving HNO3 leaching. This protocol enabled the quantitative recovery of strontium, and it facilitated a rapid analysis without the need for a time-consuming evaporation step and without waiting for secular equilibrium between 90Sr and its progeny to be reached. The method incorporating the optimized pretreatment protocol was applied to three diverse marine fish species and the accurate quantification of 90Sr at background levels in surface seawater was achieved. The method obtained concentrations in bone samples from these species that ranged from 0.036 to 0.120 mBq per kg-dry, and chemical yield values were notably high, ranging from 87.7% to 92.5%.

Enhancing Recovery in Fracture Management: An Evidence-Based Approach to Early Mobilization

●Background: Traditionally, fracture management has centered around prolonged immobilization, based on the belief that restricting movement allows bone tissue the stability needed to heal effectively. This approach, while protective, can often lead to complications such as muscle atrophy, joint stiffness, and delayed return to function. In recent years, however, early mobilization has emerged as a promising alternative, with the potential to not only speed recovery but also to enhance functional outcomes. ●Aim and Objectives: This study examines the effects of early mobilization on recovery and complications in fracture patients, aiming to identify optimal techniques for varying fracture types and patient demographics. ●Methods: A systematic review and comparative study were conducted, analyzing outcomes across patients managed with early mobilization and those treated with standard immobilization. ●Results: Patients undergoing early mobilization experienced faster recovery times, lower rates of complications, and higher satisfaction scores. Enhanced quality of life and functional recovery were observed, with significant reductions in joint stiffness and muscle loss. ●Conclusion: Early mobilization shows significant benefits in fracture management, particularly when tailored to individual patient needs. Future studies are recommended to explore long-term impacts and protocol optimization.

LOCAL DIAGNOSTIC REFERENCE LEVEL BASED ON CLINICAL INDICATIONS IN HEAD CT EXAMINATION

Diagnostic Reference Level (DRL) in Computed Tomography (CT) examination should be developed based on clinical indications because each clinical indication uses different scanning parameters. This study aimed to create Local DRL values based on clinical indications (DRLCIL) in Head CT examinations. A retrospective study was conducted on patients who underwent Head CT examinations with clinical indications of Hemorrhagic Stroke (HS), Non-Hemorrhagic Stroke (NHS), Space Occupying Lesion (SOL) without contrast (SOL –C), SOL with contrast (SOL + C) and trauma. The total number of patients used in this study was 745 patients, patients with clinical indications of HS 231 patients, NHS 163 patients, SOL –C 158 patients, SOL + C 67 patients, and trauma 126 patients. The local DRLCIL value was determined using the 2nd quartile value of each clinical indication. The DRLCIL values obtained for the volume weighted CT dose index (CTDIvol) and dose length product (DLP) were respectively HS (52.9 mGy; 1020.4 mGy.cm), NHS (52.9 mGy; 1046.9 mGy.cm), SOL –C (52.9 mGy; 941.1 mGy.cm), SOL +C (52.9 mGy; 1935.0 mGy.cm), and trauma (52.9 mGy; 1469.9 mGy.cm). The DRLCIL value is relatively lower (except for clinical indications of trauma) than the Indonesian Diagnostic Reference Level (I-DRL) for the type of Non-Contrast Head CT examination with the percentage difference of CTDIvol and DLP respectively being HS (–11.83%; –19.97%), NHS (–11.83%; –17.89%), SOL –C (–11.83%; –26.19%) and SOL +C compared to I-DRL Head CT with contrast (–11.83%; –22.60%). For clinical indications of trauma, the local DRLCIL value from DLP is higher than the I-DRL value, with a percentage difference of 15.29%. However, the local DRLCIL value from CTDIvol is lower, with a percentage difference of –11.83%. Local DRL has been developed at the hospital level and can be used as a recommendation for protocol optimization based on clinical indications. Keywords: X-ray, CT scan, Head CT, diagnostic reference level (DRL), local DRL from clinical indications (DRLCIL).

The diversity of glycan chains in jellyfish mucin of three Cubozoan species: the contrast in molecular evolution rates of the peptide chain and Glycans.

The O-glycan composition of jellyfish (JF) mucin (qniumucin: Q-mucin) extracted from three Cubozoan species was studied after the optimization of the purification protocol. Application of a stepwise gradient of ionic strength to anion exchange chromatography (AEXC) was effective for isolating Q-mucin from coexisting impurities. In the three species, the amino acid sequence of the tandem repeat (TR) region in Q-mucin in all three Cubozoans seemed to remain the same as that in all Scyphozoans, although their glycan chains seemed to exhibit clear diversity. In particular, the amounts of acidic moieties on the glycan chains of Q-mucin from the Cubozoans markedly varied even in these genetically close species. In two of the three Cubozoan species, the fraction of disaccharides was large, showing a sharp contrast to that of the glycans of Q-mucin in Scyphozoans. This study also indicates that the simple sequence of TR commonly inherited in all Cubozoan and Scyphozoan JF species after the long term of evolution over 500Myears. According to this research, the glycans and the TR of mucin-type glycoproteins (MTGPs), forming a hierarchical structure, appear to complement each other in the evolutionary changes because the time required for their hereditary conversion is considerably different. The cooperation of these mechanisms is a strategy to achieve the contradictory functions of biosystems, namely species conservation and diversity acquisition.

The Effect of Virtual Reality Technology in Table Tennis Teaching: A Multi-Center Controlled Study.

This study investigated the effectiveness of virtual reality (VR) technology in table tennis education compared to traditional training methods. A 12-week randomized controlled trial was conducted with 120 participants divided equally between VR and traditional training groups. Performance metrics, learning motivation, and satisfaction were assessed at regular intervals. Results demonstrated significant advantages of VR training, with the VR group showing superior improvements in serve accuracy (23.5% vs. 15.8%, p < 0.001), rally endurance (an increase of 8.2 vs. 5.7 shots, p < 0.01), and overall skill scores (18.7 vs. 13.2 points improvement, p < 0.001). The VR group also exhibited higher increases in learning motivation (23.5% vs. 12.8%, p < 0.001) and satisfaction (31.5% vs. 18.7%, p < 0.001). Subgroup analysis revealed particular benefits for novice players and younger participants. These findings suggest that VR technology offers a promising approach to enhance table tennis education, potentially revolutionizing sports training methodologies. Future research should focus on long-term skill retention and the optimization of VR training protocols.

Epidemiological characteristics and survival analysis of pertussis in Quzhou

ABSTRACT Despite high vaccination coverage in high-income countries, recent reports of pertussis resurgence have heightened public concern about vaccine effectiveness and vaccination. Quzhou City has gradually transitioned from DTwP to DTaP vaccines, achieving a remarkable vaccination coverage rate of 99%. However, since 2024, there has been a significant surge in pertussis cases in Quzhou City. We collected data on pertussis cases, described the epidemiological characteristics of pertussis outbreaks in Quzhou City, examined pertussis vaccination history, and conducted a COX survival analysis. Pertussis cases reported in Quzhou City from January to April 2024 were far higher than those reported in previous years during the same period. Geographically, cases were concentrated in the central region and predominantly affected children under 9 years old, with a focus on the 5–9 age group. Survival analysis revealed that the risk of pertussis incidence increased by 2.84 times (HR = 2.87, 95% CI = 2.27 ~ 3.63) when comparing self-paid vaccines to free vaccines. The pertussis situation in Quzhou City remains critical, emphasizing the need for enhanced immunization strategies and further optimization of pertussis immunization protocols.

Binding Selectivity Analysis from Alchemical Receptor Hopping and Swapping Free Energy Calculations.

We present receptor hopping and receptor swapping free energy estimation protocols based on the Alchemical Transfer Method (ATM) to model the binding selectivity of a set of ligands to two arbitrary receptors. The receptor hopping protocol, where a ligand is alchemically transferred from one receptor to another in one simulation, directly yields the ligand's binding selectivity free energy (BSFE) for the two receptors, which is the difference between the two individual binding free energies. In the receptor swapping protocol, the first ligand of a pair is transferred from one receptor to another while the second ligand is simultaneously transferred in the opposite direction. The receptor swapping free energy yields the differences in binding selectivity free energies of a set of ligands, which, when combined using a generalized DiffNet algorithm, yield the binding selectivity free energies of the ligands. We test these algorithms on host-guest systems and show that they yield results that agree with experimental data and are consistent with differences in absolute and relative binding free energies obtained by conventional methods. Preliminary applications to the selectivity analysis of molecular fragments binding to the trypsin and thrombin serine protease confirm the potential of the receptor swapping technology in structure-based drug discovery. The novel methodologies presented in this work are a first step toward streamlined and computationally efficient protocols for ligand selectivity optimization between mutants and homologous proteins.

Multiscale preconditioning of Stokes flow in complex porous geometries

Fluid flow through porous media is central to many subsurface (e.g., CO2 storage) and industrial (e.g., fuel cell) applications. The optimization of design and operational protocols, and quantifying the associated uncertainties, requires fluid-dynamics simulations inside the microscale void space of porous samples. This often results in large and ill-conditioned linear(ized) systems that require iterative solvers, for which preconditioning is key to ensure rapid convergence. We present robust and efficient preconditioners for the accelerated solution of saddle-point systems arising from the discretization of the Stokes equation on geometrically complex porous microstructures. They are based on the recently proposed pore-level multiscale method (PLMM) and the more established reduced-order method called the pore network model (PNM). The four preconditioners presented are the monolithic PLMM, monolithic PNM, block PLMM, and block PNM. Compared to existing block preconditioners, accelerated by the algebraic multigrid method, we show our preconditioners are far more robust and efficient. The monolithic PLMM is an algebraic reformulation of the original PLMM, which renders it portable and amenable to non-intrusive implementation in existing software. Similarly, the monolithic PNM is an algebraization of PNM, allowing it to be used as an accelerator of direct numerical simulations (DNS). This bestows PNM with the, heretofore absent, ability to estimate and control prediction errors. The monolithic PLMM/PNM can also be used as approximate solvers that yield globally flux-conservative solutions, usable in many practical settings. We systematically test all preconditioners on 2D/3D geometries and show the monolithic PLMM outperforms all others. All preconditioners can be built and applied on parallel machines.

A qualitative analysis of participant experience during an EEG-linked auditory targeted cognitive training exercise: Implications for implementation and protocol optimization

Auditory-based targeted cognitive training (ATCT) is an emerging adaptive neuroplasticity-based intervention. Previous studies have shown that electroencephalographic (EEG) biomarkers of auditory information processing assessed at the start of ATCT have predicted cognitive, clinical, and functional gains from a full 30–40 hour ATCT program, but participant attitudes related to coupling EEG to ATCT are not well-known. This study assessed stakeholder feedback related to EEG biomarker collection as part of ATCT to optimize future EEG-informed ATCT studies. Semi-structured interviews assessed attitudes of ATCT-naïve participants (n=50) living with a range of psychiatric disorders and cognitive function who underwent EEG assessment associated with a 1 hour ATCT exercise. A deductive approach was used to code the data and an iterative approach was employed to identify key emerging themes. Interview data yielded 62 unique themes related to EEG biomarker collection and ATCT. Qualitative analysis identified positive and negative elements of participants’ experience of EEG-informed ATCT as well as ways to streamline the EEG experience. Results suggest EEG-informed ATCT studies may be optimized using actionable improvements to current protocols leveraged from themes identified.

Optimisation of cone beam CT radiotherapy imaging protocols using a novel 3D printed head and neck anthropomorphic phantom

Objective.This study aimed to optimise Cone Beam Computed Tomography (CBCT) protocols for head and neck (H&N) radiotherapy treatments using a 3D printed anthropomorphic phantom. It focused on precise patient positioning in conventional treatment and adaptive radiotherapy (ART).Approach.Ten CBCT protocols were evaluated with the 3D-printed H&N anthropomorphic phantom, including one baseline protocol currently used at our centre and nine new protocols. Adjustments were made to milliamperage and exposure time to explore their impact on radiation dose and image quality. Additionally, the effect on image quality of varying the scatter correction parameter for each of the protocols was assessed. Each protocol was compared against a reference CT scan. Usability was assessed by three Clinical Scientists using a Likert scale, and statistical validation was performed on the findings.Main results. The work revealed variability in the effectiveness of protocols. Protocols optimised for lower radiation exposure maintained sufficient image quality for patient setup in a conventional radiotherapy pathway, suggesting the potential for reducing patient radiation dose by over 50% without compromising efficacy. Optimising ART protocols involves balancing accuracy across brain, bone, and soft tissue, as no single protocol or scatter correction parameter achieves optimal results for all simultaneously.Significance.This study underscores the importance of optimising CBCT protocols in H&N radiotherapy. Our findings highlight the potential to maintain the usability of CBCT for bony registration in patient setup while significantly reducing the radiation dose, emphasizing the significance of optimising imaging protocols for the task in hand (registering to soft tissue or bone) and aligning with the as low as reasonably achievable principle. More studies are needed to assess these protocols for ART, including CBCT dose measurements and CT comparisons. Furthermore, the novel 3D printed anthropomorphic phantom demonstrated to be a useful tool when optimising CBCT protocols.

360° CZT-SPECT/CT cameras: 99mTc- and 177Lu-phantom-based evaluation under clinical conditions

PurposeFor the first time, three currently available 360° CZT-SPECT/CT cameras were compared under clinical conditions using phantom-based measurements.MethodsA 99mTc- and a 177Lu-customized NEMA IEC body phantom were imaged with three different cameras, StarGuide (GE Healthcare), VERITON-CT versions 200 (V200) and 400 (V400) (Spectrum Dynamics Medical) under the same clinical conditions. Energy resolution and volumetric sensitivity were evaluated from energy spectra. Vendors provided the best reconstruction parameters dedicated to visualization and/or quantification, based on their respective software developments. For both 99mTc- and 177Lu-phantoms, noise level, quantification accuracy, and recovery coefficient (RC) were performed with 3DSlicer. Image quality metrics from an approach called “task-based” were computed with iQMetrix-CT on 99mTc visual reconstructions to assess, through spatial frequencies, noise texture in the background (NPS) and contrast restitution of a hot insert (TTF). Spatial resolution indices were calculated from frequencies corresponding to TTF10% and TTF50%.ResultsDespite the higher sensitivity of VERITON cameras and the enhanced energy resolution of the V400 (3.2% at 140 keV, 5.2% at 113 keV, and 3.6% at 208 keV), StarGuide presents comparable image quality. This highlights the need to differentiate sensitivity from count quality, which is influenced by hardware design (collimator, detector block) and conditions image quality as well as the reconstruction process (algorithms, scatter correction, noise regulation). For 99mTc imaging, the quantitative image optimization approach based on RCmean for StarGuide versus RCmax for V200 and V400 systems (RCmean/RCmax: 0.9/1.8; 0.5/0.9; 0.5/0.9 respectively—Ø37 mm). SRTB10/50 showed nearly equivalent spatial resolution performances across the different reconstructed images. For 177Lu imaging, the 113 keV imaging of the V200 and V400 systems demonstrated strong performances in both image quality and quantification, while StarGuide and V400 systems offer even better potential due to their ability to exploit signals from both the 113 and 208 keV peaks. 177Lu quantification was optimized according to RCmax for all cameras and reconstructions (1.07 ± 0.09—Ø37 mm).ConclusionsThe three cameras have equivalent potential for 99mTc imaging, while StarGuide and V400 have demonstrated higher potential for 177Lu. Dedicated visual or quantitative reconstructions offer better specific performances compared to the unified visual/quantitative reconstruction. The task-based approach appears to be promising for in-depth comparison of images in the context of system characterization/comparison and protocol optimization.

45 Home-based phototherapy for neonatal hyperbilirubinemia: A one-time Canadian Paediatric Surveillance Program Survey

Abstract Background Home-based phototherapy (HP) has gained popularity as a viable alternative to hospital-based treatment for neonatal hyperbilirubinemia, with longstanding use internationally and availability in specific regions of Canada. HP has been shown to be cost-effective and beneficial for parent-infant bonding, but its safety remains unclear, especially with current use in Canada. Objectives The primary objective of this study was to identify adverse events related to HP within Canada over the past 12 months. Secondary objectives included identifying risk factors associated with these adverse outcomes and gathering information on the current status of HP in Canada. Design/Methods A one-time survey, distributed through the Canadian Paediatric Surveillance Program, collected retrospective data from paediatricians. The survey included questions about adverse events associated with HP and associated risk factors and outcomes, as well as the provision of HP. A descriptive statistical analysis was conducted. Results The survey response rate was 31% (844/2741). Among the 497 respondents providing care for neonatal hyperbilirubinemia, 15 (3%) physicians reported a total of 28 cases of adverse events associated with HP in the preceding 12 months. Most adverse events resulted in admissions or readmissions to the hospital for in-hospital phototherapy with no serious adverse events or long-term consequences. Risk factors were identified in 67% of cases, with infant-related factors being the most prevalent. HP was offered at the centre of 12% of the responding physicians, with formal protocols for patient assessment and follow-up at most centres. Conclusion This survey revealed no serious adverse related to HP in the preceding 12 months. The survey also revealed that while HP is available in Canada, there is a lack of standardization in its administration across the country. This study provides valuable insights into the safety and practice of HP for neonatal hyperbilirubinemia in Canada, contributing to evidence-based decision-making and optimization of care protocols.

Neural networks pipeline for quality management in IVF laboratory

This study introduces a novel neural network-based pipeline for predicting clinical pregnancy rates in IVF treatments, integrating both clinical and laboratory data. We developed a metamodel combining deep neural networks and Kolmogorov-Arnold networks, leveraging their complementary strengths to enhance predictive accuracy and interpretability. The metamodel achieved robust performance metrics after training and fitting on 11500 clinical cases: accuracy = 0.72, AUC = 0.75, F1 score = 0.60, and Matthews Correlation Coefficient of 0.42. According to morpho-kinetical embryo evaluation, our model’s PRC of 0.66 significantly improves over existing time-lapse systems for pregnancy prediction, demonstrating better handling of imbalanced clinical data. The metamodel’s calibration metrics (Brier score = 0.20, expected calibration error = 0.06, maximum calibration error = 0.12, Hosmer-Lemeshow test p-value = 0.06) indicate robust reliability in predicting clinical pregnancy outcomes. We validated the model’s reproducibility using an independent dataset of 665 treatment cycles, showing close alignment between predicted and actual pregnancy rates (58.9% vs. 59.1%). With the Bayesian method, we proposed a robust framework for integrating historical data with real-time predictions from neural networks, enabling a transition from retrospective to prospective analysis. Our approach extends beyond conventional embryo selection, incorporating post-analytical phase evaluation in the IVF laboratory. This comprehensive framework enables detailed analysis across different patient subpopulations and time periods, facilitating the identification of systemic issues and IVF protocol optimization. The model’s ability to track pregnancy probabilities over time and staff members allows for both outcome prediction and retrospective and prospective assessment of IVF treatment efficacy, providing a data-driven strategy for continuous improvement in assisted reproductive technology.

Gadolinium-based coronary CT angiography on a clinical photon-counting-detector system: a dynamic circulating phantom study

BackgroundCoronary computed tomography angiography (CCTA) offers non-invasive diagnostics of the coronary arteries. Vessel evaluation requires the administration of intravenous contrast. The purpose of this study was to evaluate the utility of gadolinium-based contrast agent (GBCA) as an alternative to iodinated contrast for CCTA on a first-generation clinical dual-source photon-counting-detector (PCD)-CT system.MethodsA dynamic circulating phantom containing a three-dimensional-printed model of the thoracic aorta and the coronary arteries were used to evaluate injection protocols using gadopentetate dimeglumine at 50%, 100%, 150%, and 200% of the maximum approved clinical dose (0.3 mmol/kg). Virtual monoenergetic image (VMI) reconstructions ranging from 40 keV to 100 keV with 5 keV increments were generated on a PCD-CT. Contrast-to-noise ratio (CNR) was calculated from attenuations measured in the aorta and coronary arteries and noise measured in the background tissue. Attenuation of at least 350 HU was deemed as diagnostic.ResultsThe highest coronary attenuation (441 ± 23 HU, mean ± standard deviation) and CNR (29.5 ± 1.5) was achieved at 40 keV and at the highest GBCA dose (200%). There was a systematic decline of attenuation and CNR with higher keV reconstructions and lower GBCA doses. Only reconstructions at 40 and 45 keV at 200% and 40 keV at 150% GBCA dose demonstrated sufficient attenuation above 350 HU.ConclusionCurrent PCD-CT protocols and settings are unsuitable for the use of GBCA for CCTA at clinically approved doses. Future advances to the PCD-CT system including a 4-threshold mode, as well as multi-material decomposition may add new opportunities for k-edge imaging of GBCA.Relevance statementPatients allergic to iodine-based contrast media and the future of multicontrast CT examinations would benefit greatly from alternative contrast media, but the utility of GBCA for coronary photon-counting-dector-CT angiography remains limited without further optimization of protocols and scanner settings.Key PointsGBCA-enhanced coronary PCD-CT angiography is not feasible at clinically approved doses.GBCAs have potential applications for the visualization of larger vessels, such as the aorta, on PCD-CT angiography.Higher GBCA doses and lower keV reconstructions achieved higher attenuation values and CNR.Graphical

Mapping Guaranteed Positive Secret Key Rates for Continuous Variable Quantum Key Distribution.

The standard way to measure the performance of existing continuous variable quantum key distribution (CVQKD) protocols is by using the achievable secret key rate (SKR) with respect to one parameter while keeping all other parameters constant. However, this atomistic method requires many individual parameter analyses while overlooking the co-dependence of other parameters. In this work, a numerical tool is developed for comparing different CVQKD protocols while taking into account the simultaneous effects of multiple CVQKD parameters on the capability of protocols to produce positive SKRs. Using the transmittance, excess noise, and modulation amplitude parameter space, regions of positive SKR are identified to compare three discrete modulated (DM) CVQKD protocols. The results show that the M-QAM protocol outperforms the M-APSK and M-PSK protocols and that there is a non-linear increase in the capability to produce positive SKRs as the number of coherent states used for a protocol increases. The tool developed is beneficial for choosing the optimum protocol in unstable channels, such as free space, where the transmittance and excess noise fluctuate, providing a more holistic assessment of a protocol's capability to produce positive SKRs.

Quantitation of Copper Tripeptide in Cosmetics via Fabric Phase Sorptive Extraction Combined with Zwitterionic Hydrophilic Interaction Liquid Chromatography and UV/Vis Detection

The increasing demand for effective cosmetics has driven the development of innovative analytical techniques to ensure product quality. This work presents the development and validation of a zwitterionic hydrophilic interaction liquid chromatography method, coupled with ultraviolet detection, for the quantification of copper tripeptide in cosmetics. A novel protocol for sample preparation was developed using fabric phase sorptive extraction to extract the targeted analyte from the complex cosmetic cream matrix, followed by chromatographic separation on a ZIC®-pHILIC analytical column. A thorough investigation of the chromatographic behavior of the copper tripeptide on the HILIC column was performed during method development. The mobile phase consisted of 133 mM ammonium formate (pH 9, adjusted with ammonium hydroxide) and acetonitrile at a 40:60 (v/v) ratio, with a flow rate of 0.2 mL/min. A design of experiments (DOE) approach allowed precise adjustments to various factors influencing the extraction process, leading to the optimization of the fabric phase sorptive extraction protocol for copper tripeptide analysis. The method demonstrated excellent linearity over a concentration range of 0.002 to 0.005% w/w for copper tripeptide, with a correlation coefficient exceeding 0.998. The limits of detection and quantitation were 5.3 × 10−4% w/w and 2.0 × 10−3% w/w, respectively. The selectivity of the method was verified through successful separation of copper tripeptide from other cream components within 10 min, establishing its suitability for high-throughput quality control of cosmetic formulations.

Exploring the use of wearable sensors for assessing risk factors during orthopedic surgeries: A protocol for data collection

During orthopedic surgeries, surgeons are generally exposed to prolonged periods of standing, awkward and sustained body postures, and forceful movements, which can increase the likelihood of developing work-related musculoskeletal disorders (WRMSD). Therefore, this study proposes a protocol to measure parameters related to physical risk factors contributing to lower limb WRMSD, during orthopedic surgery procedures. The protocol development was preceded by an initial phase of understanding and specifying the context of use, followed by pre-tests in laboratory environment. It integrates a motion capture system, using inertial measurement units (IMU) to collect posture data from hip, knee, and ankle, and electromyography system (EMG) to measure and record data from muscle activity of biceps femoris, rectus femoris, and gastrocnemius lateralis. Pre-tests provided insights for protocol optimization, estimating a 3-hour data collection session per surgery due to sensor battery limitations, streamlining the process by placing EMG sensors before IMU and refining thigh sensor placement strategies. The protocol presents an opportunity for a real-time and quantitative approach to monitor surgeon's exposure to risk factors contributing to lower limb WRMSD while performing surgical procedures. Two months after pre-tests, the protocol implementation began in a real work context. The study's final outcomes fall outside the paper's scope.

Reviewing the efficiency of photobiomodulation therapy in oncological treatment.

The aim of the present systematic review is to evaluate the effects of different photobiomodulation therapy (PBMT) approaches in oncological treatment practices. The review follows the PRISMA guidelines. Specifically, the review is composed of laser PBMT and LED PBMT. A total of 23 studies were included, 14 investigating laser PBMT and 9 examining LED PBMT. In vitro studies demonstrated laser PBMT's potential to induce apoptosis and cytotoxicity in various cancer cell lines while enhancing sensitivity to chemotherapeutics and natural compounds. However, some studies highlighted divergent effects between in vitro (promoted proliferation) and in vivo xenograft models (slowed tumor growth) for certain laser wavelengths. LED PBMT studies showed blue light inhibited melanoma and pancreatic cancer cell growth, potentially via ROS generation, while red light raised concerns about enhancing oral cancer invasiveness. Both modalities mitigated treatment side effects like oral mucositis, xerostomia, peripheral neuropathy, and improved quality of life. While promising, the outcomes varied based on light parameters, cancer type, and experimental setting, necessitating further optimization of PBMT protocols through well-designed studies to establish long-term safety and efficacy across clinical scenarios.