Low Fluctuations Research Articles

Safety and Efficacy of opioid-sparing Anesthesia Compared with Traditional opioid-anesthesia

Objectives: The rationale of adoption opioid sparing anesthesia (OSA) is to achieve perioperative analgesia with a minimal amount of opioid combined to non-opioid adjuvants during and after surgery, namely multimodal anesthesia. The OSA approach was originally developed to overcome the known complications of opioid-based anesthesia (OA) and the present scoping review (ScR) aims at providing the clinical evidence of safety and efficacy of OSA with respect to OA. Methods: This ScR is mainly focused on studies presenting evidence on the safety and efficacy of OSA versus OA. PubMed, EMBASE databases were utilized to find relevant studies. Search strategy included the following keywords: “opioid sparing anesthesia complications, opioid sparing anesthesia efficacy, opioid sparing anesthesia safety”. The findings from the 25 included studies were categorized into the following subsections: article characteristics, goals of the studies, OSA protocols, and surgical settings analyzed. Results: In the 25 reviewed studies, evidence related to the impact of OSA versus OA was considered. Intraoperative safety and efficacy endpoints include hemodynamic stability and anesthetic/analgesic requirements. Postoperative endpoints include early cognitive dysfunction, opioid-induced bowel disorder, the physical status of mothers and newborns after labor and emergency cesarean, systemic immune and inflammation modifications, postoperative recovery, in-hospital and long-term opioid requirement, early postoperative pain, chronic postsurgical pain. The studies reported a lower intraoperative mean arterial pressure and heart rate fluctuations when α2 agonists are adopted, while no differences were recorded for other complication rates. Analysis of OSA approaches for the postoperative conditions includes α2 agonists, NMDA receptor blocking agents, gabapentinoids, nefopam hydrocloride and locoregional anesthesia techniques with a positive impact on most of the endpoints considered. Discussion: The clinical implementation of OSA encompasses the perioperative use of non-opioid drugs and locoregional anesthesia techniques. The reviewed studies reported OSA as a feasible approach to reduce opioid-related complications with no impact on patient’s safety.

In silico exploration of phytochemicals as inhibitors for acute myeloid leukemia by targeting LIN28A gene: A cheminformatics study

BackgroundRecent discoveries have illustrated that Lin28A is an oncogene in various cancers, particularly acute myeloid leukemia (AML). The upregulation of Lin28A can actively contribute to tumorigenesis and migration processes in multiple organs. Hence, the inhibition of Lin28A can be achieved by applying phytochemical herbals and targeting Lin28A protein using a computer-aided drug design (CAAD) approach. MethodsIn this study, we comprehensively applied several bioinformatics tools, including gene ontologies, gene enrichment analysis, and protein-protein interactions (PPI), to determine the biological pathways, functional gene ontology, and biological pathway. Furthermore, we investigated a list of phytochemical herbs as a candidate drug by applying a computation technique involving molecular docking, density functional theory (DFT), molecular dynamics simulation (MDs), and pharmacokinetic and physiochemical properties by applying the SwissADME, pkCSM, and Molsoft LLC web-servers. ResultsThe Lin28A gene is related to two significant enrichment pathways, including proteoglycans in cancer and the pluripotency of stem cells through interactions with different genes such as MAPK12, MYC, MTOR, and PIK3CA. Interestingly, limonin, 18β Glycyrrhetic Acid, and baicalein have the highest binding energy scores of −8.4, −8.2, and −7.3 kcal/mol, respectively. The DFT study revealed that baicalein has a higher reactivity than limonin and 18β-Glycyrrhetic due to a small energy gap between LUMO and HUMO. Molecular dynamics simulation exhibited that baicalein complex with Lin28A protein is more stable than other complexes during simulation time due to low fluctuation with simulation periods as compared with other complexes, which indicated that baicalein was more fitting to docking and combining in the protein cave because of the largest number of H-bonds available for the docking simulation process. Furthermore, the drug-likeness and ADMET profiles revealed the activity of limonin, baicalein, and 18β-glycyrrhizic Acid, which possess significant inhibiting Lin28A proteins. ConclusionThis study elucidated that baicalein, 18β-glycyrrhizic, and limonin may be applied as potential candidates for targeting Lin28A as an active oncogene for acute myeloid leukemia.

Crashworthiness design and enhanced energy absorption of multi-cell thin-walled circular tubes

In order to improve the crashworthiness and enhance the energy absorption capacity of thin-walled structures, a new multi-cell thin-walled circular tube was established by combining the advantages of type I (bending-dominant) and type II (tension-dominant) structures in this paper. The crush resistance and specific energy absorption (SEA) of multi-cell empty and multi-cell foam-filled tubes (MFTs) subjected to axial crushing loads were experimentally investigated. It was shown that due to the introduction of ribbed structures, the crush resistance and energy absorption efficiency of multi-cell empty tubes can be obviously enhanced. Filling the empty tube with foam, the peak force of foam filled thin-walled circular tube structure is improved distinctly. The MFTs have a higher crushing load efficiency and lower average loading fluctuation than the corresponding multi-cell empty tubes, which are mainly affected by the ribbed angles. With the increase in ribbed angles, the load-carrying capacity and the SEA of the MFTs can also be enhanced, but the undulation of the load-carrying capacity is simultaneously reduced. When the ribbed angle is more than 45°, the MFTs have better energy absorption and crushing load efficiency. Compared with a multi-cell empty tube, the SEA of the MFT increased by about 19%.

Multi-Epitopic Peptide Vaccine Against Newcastle Disease Virus: Molecular Dynamics Simulation and Experimental Validation

Background: Newcastle disease virus (NDV) is a highly contagious and economically devastating pathogen affecting poultry worldwide, leading to significant losses in the poultry industry. Despite existing vaccines, outbreaks continue to occur, highlighting the need for more effective vaccination strategies. Developing a multi-epitopic peptide vaccine offers a promising approach to enhance protection against NDV. Objectives: Here, we aimed to design and evaluate a multi-epitopic vaccine against NDV using molecular dynamics (MD) simulation. Methodology: We retrieved NDV sequences for the fusion (F) protein and hemagglutinin–neuraminidase (HN) protein. Subsequently, B-cell and T-cell epitopes were predicted. The top potential epitopes were utilized to design the vaccine construct, which was subsequently docked against chicken TLR4 and MHC1 receptors to assess the immunological response. The resulting docked complex underwent a 1 microsecond (1000 ns) MD simulation. For experimental evaluation, the vaccine’s efficacy was assessed in mice and chickens using a controlled study design, where animals were randomly divided into groups receiving either a local ND vaccine or the peptide vaccine or a control treatment. Results: The 40 amino acid peptide vaccine demonstrated strong binding affinity and stability within the TLR4 and MHC1 receptor–peptide complexes. The root mean square deviation of peptide vaccine and TLR4 receptor showed rapid stabilization after an initial repositioning. The root mean square fluctuation revealed relatively low fluctuations (below 3 Å) for the TLR4 receptor, while the peptide exhibited higher fluctuations. The overall binding energy of the peptide vaccine with TLR4 and MHC1 receptors amounted to −15.7 kcal·mol−1 and −36.8 kcal·mol−1, respectively. For experimental evaluations in mice and chicken, the peptide vaccine was synthesized using services of GeneScript Biotech® (Singapore) PTE Limited. Experimental evaluations showed a significant immune response in both mice and chickens, with the vaccine eliciting robust antibody production, as evidenced by increasing HI titers over time. Statistical analysis was performed using an independent t-test with Type-II error to compare the groups, calculating the p-values to determine the significance of the immune response between different groups. Conclusions: Multi-epitopic peptide vaccine has demonstrated a good immunological response in natural hosts.

The design of a combustion chamber operated in MILD regime - numerical modeling of hydrogen combustion in oxygen steam mixtures

The goal of the current work is to develop a combustion chamber that can operate on recirculated steam produced by burning hydrogen in oxygen under conditions of Moderate or Intense oxygen Dilution (MILD) in atmospheric and stoichiometric conditions. The study investigates several configurations of combustor with nozzles, taking into account the overall temperature, OH radicals, and heat release rate distribution throughout the combustor’s domain. Thermal power variations of the steam generator (5 to 20 kW) were examined in conjunction with different oxygen dilutions with steam, down to 3% of O2 (by mol.). The outcomes reveal that a rise in dilution degree promotes a drop in the mean temperature across every case and reagents’ recirculation with homogeneous temperature field, suggesting the presence of MILD combustion. The highest temperature values were observed at the stoichiometric mixture fraction. Higher dilution degree revealed more efficient heat release across the domain with low fluctuations from the reference MILD combustion data. Of the two combustion models studied, the Partially Stirred Reactor model did not show flame extinction at the highest dilution degrees, unlike the Eddy Dissipation model. The selected final design of the combustion chamber was used for constructing the actual combustor dedicated for lab-scale operation.

Influence of geometric parameters on ejector acoustics and efficiency in ejector refrigeration system

Ejectors are extensively utilized in Ejector Refrigeration System (ERS), serving as essential elements for process propulsion and vapor recirculation. However, their operation produces substantial aerodynamic noise, which adversely affects the surrounding environment and human health. Consequently, an investigation was conducted into the correlation between aerodynamic noise and the ejector's performance, based on the geometric configuration of the ejector. Additionally, the flow field of the ejector was analyzed. Nine types of ejectors with different area ratios (AR) and nozzle exit positions (NXP) were established, and the simulation results showed that the aerodynamic noise was positively correlated with the turbulence intensity. The higher the turbulence intensity, the higher the sound power level of the noise. As the AR increased from 5.8 to 11.4, turbulence intensity gradually decreased. An increase in AR by 1.4 resulted in a reduction of aerodynamic noise by 2–3 dB, while the entrainment ratio (ER) initially increased and then decreased. With an increase in the primary flow pressure, the optimal AR moves backward. The change in NXP has a negligible effect on turbulence intensity and ejector noise but significantly impacts ER. Overall, 9 different AR and NXP ejectors were 3D-printed and tested. The far-field noise data of the experimental ejector exhibited the same trend as the simulated noise data, which verified the simulation results. The ejector's optimal structure was discussed based on its ability to maintain relatively higher ER and lower noise levels amid pressure fluctuations.

Implication of heart rhythm complexity in predicting long-term outcomes in pulmonary hypertension

Pulmonary hypertension (PH) is a serious disease, however simple tools to predict outcomes are lacking. In our previous investigation, we found that heart rate variability (HRV) and heart rhythm complexity (HRC) were associated with the detection and severity of PH, however their association with PH mortality remains unclear.The aim of this study was to investigate these metrics as a tool for determining long-term outcomes in PH patients. We enrolled 74 Asian PH patients with WHO PH group 1 or 4 at a single hospital in Taiwan between March 2012 and June 2018. After a median follow-up duration of 58 months (to January 2023), 22 patients had died. The patients who died had a significantly lower lean body mass index (BMI), impaired renal function, higher N-terminal pro B-type natriuretic peptide (NT-proBNP) level, lower very low-frequency (VLF), lower short-term detrended fluctuation analysis α1 (DFAα1), and lower multiscale entropy scale 5 value. In multivariable analysis, BMI, VLF and multiscale entropy scale 5 were significantly associated with survival. The best cut-off VLF and scale 5 values were 115.13 and 0.738, respectively. We then categorized the study population into three groups: both elevated VLF/scale 5 (group 1), either depressed VLF or depressed scale 5 (group 2), and both depressed VLF/scale 5 (group 3). The results showed that group 1 had the best outcomes, whereas group 3 had the worst survival (P < 0.001).Combining HRV and HRC metrics appears to be a good non-invasive tool to predict the long-term outcomes of patients with PH.

Vaccination Coverage Against Human Papillomavirus (HPV) : A Study on Vaccination in the Municipality of Ananindeua, Brazil

Objective: to analyze HPV vaccination coverage in the municipality of Ananindeua – Pará, from 2020 to 2024. Method: This is a quantitative study based on data from 2020 to 2024 collected by the Department of Informatics of the Unified System of Health (DATASUS), which allowed the analysis of HPV vaccination coverage. Results: The study revealed low adherence and significant fluctuations in HPV vaccination coverage, identifying as the main barriers the lack of information, the stigmatization of sexual transmission and the resistance of parents to vaccinating their children. Conclusion: The study showed a decline in HPV vaccination uptake from 2020 to 2024, threatening the WHO’s global goal of 90% by 2030. Key barriers include parental misinformation, vaccine myths, and a lack of trained professionals.

Circadian heart rate fluctuations predict 21-year cardiovascular and all-cause mortality in type 2 and type 1 diabetes

Abstract Background Alterations in circadian heart rate (HR) fluctuations have been associated with cardiovascular events in the general population. This study aimed at defining their long-term prognostic value for cardiovascular and all-cause mortality in patients with diabetes. Methods We examined a cohort of 349 patients with type 2 or type 1 diabetes (52% women, age 57.1±11.9 years, BMI 29.4±5.9 kg/m2, HbA1c 8.6±2.1%, 81% type 2 diabetes) who underwent 24h ambulatory blood pressure and HR monitoring (ABPM) and assessment of diabetic microvascular complications. The median standard deviation (SD) value of ABPM-derived HR measurements was used to define patients with low daily HR fluctuations (low 24h-HR SD), while a &amp;lt;10% decline in average night-time vs day-time HR identified patients with blunted nocturnal HR dip (n=107, 31%). The clinical features and time-dependent prognostic impact of these conditions were evaluated over a 21-year observational follow-up. Results Low 24h-HR SD and blunted nocturnal HR dip were associated with an adverse cardiometabolic risk profile and high prevalence of cardiac autonomic neuropathy and nephropathy. After 6,251 person-years of follow-up (21.0 [14.0-21.0] years), a total of 136 (39%) deaths occurred, of which 100 (68%) of cardiovascular cause. After adjustment for potential confounders, the low 24h-HR SD group had a higher risk for both cardiovascular (hazard ratio 1.99, 95% CI 1.29–3.06, p=0.002) and all-cause mortality (hazard ratio 1.50, 95% CI 1.03–2.18, p=0.033), compared with high 24h-HR SD. Consistently, patients with blunted nocturnal HR dip had a higher adjusted risk for cardiovascular (1.61, 95% CI 1.07–2.43, p=0.023) and all-cause mortality (1.61, 95% CI 1.11–2.34, p=0.012), compared with those with preserved nocturnal HR dip. Conclusions Impaired circadian HR fluctuations are frequent in patients with long-standing diabetes and are associated with microvascular disease and increased long-term cardiovascular and all-cause mortality. Identifying these conditions via 24h-ABPM may provide a cost-effective risk stratification tool in this high-risk population.Kaplan-Meier curves

Inter- and Intra-Annual Variations in Oak Tree Ring δ13C Values across Different Elevations and Their Climatic Responses in Qinling Mountains

The Qinling Mountains, serving as a natural geographical and climatic boundary in China, require comprehensive climatic records to elucidate the trends in climate changes across the country. While stable isotopes in tree rings are widely employed to indicate historical environmental changes, investigations into tree ring isotopes in the Qinling Mountains, particularly within the widespread broad-leaf oaks, remain limited. In this study, we investigated both intra- and inter-annual variations in the δ13C values of tree rings and their correlations with climatic signals over the past two decades for Quercus aliena var. acuteserrata, a dominant species among oak trees on the main peak of the Qinling Mountains. Our results reveal that responses to climate differ among altitudes and individual trees, with trees at higher altitudes exhibiting higher sensitivity to extreme climate, which is low temperatures and rainfall fluctuations during the growth period in intra-annual δ13C variations. Furthermore, the positive correlations are observed between temperature during growing season and both tree growth and the inter-annual δ13C variations. However, the climate signal appears to be hampered by oak-specific factors, such as intense competition among individuals and the age of trees. Therefore, we suggest a more rigorous selection of sampling and propose further investigations into isotopic fractionation processes in oaks for future studies.

Temporal Evolution Pathway and Forecasting of Non‐Fossil Energy Consumption and Carbon Emission Under China's Carbon Peak Target: A Markov Switching AR and RNN Approach

ABSTRACTTo fulfil the commitments of the Paris Agreement, China will strive to achieve carbon peak (CP) by 2030. It is necessary to identify the evolution characteristics of China's carbon emissions and provide a scientific path prediction for the formulation of reasonable emission reduction policies and measures. This study summarises and predicts the pathway of China's carbon peak (CP) using carbon emission intensity (CEI) and the percentage of non‐fossil energy consumption (NEC) as indicators, and combining MSIH(3)‐AR(2) model and recurrent neural network. The results show that: (1) China's CEI experiences a ‘low decline regime’ (LDR), a ‘medium decline regime’ (MDR) and a ‘high decline regime’ (HDR), while the share of NEC goes through a ‘low fluctuation regime’ (LFR), a ‘medium growth regime’ (MGR) and a ‘high growth regime’ (HGR). (2) For CEI, the switching probability from MDR to the HDR is 74.88%, illustrating a substantial improvement. For NEC, the switching probability from MGR to HGR is 28.92%, but the probability of returning to MGR is 61.76%, indicating an adjustment. (3) By 2030, CEI will reach 0.9896 tons/100 million CNY, decreased by 66.35% compared with 2005. While the percentage of NEC will rise to 26.61%. Based on these, policy suggestions such as strengthening the top‐level design, upgrading energy mix and accelerating green technological changes are proposed to break the bottlenecks of reaching CP and further zero carbon goal. This study is expected to provide theoretical support and empirical evidence for the achievement CP in China, and to provide empirical references for promoting the ‘dual carbon’ process in other countries.

Dose-dependent effects of transcranial photobiomodulation on brain temperature in patients with major depressive disorder: a spectroscopy study.

This study aimed to evaluate the dose-dependent brain temperature effects of transcranial photobiomodulation (t-PBM). Thirty adult subjects with major depressive disorder were randomized to three t-PBM sessions with different doses (low: 50 mW/cm2, medium: 300 mW/cm2, high: 850 mW/cm2) and a sham treatment. The low and medium doses were administered in continuous wave mode, while the high dose was administered in pulsed wave mode. A 3T MRI scanner was used to perform proton magnetic resonance spectroscopy (1H-MRS). A voxel with a volume of 30 × 30 × 15 mm3 was placed on the left prefrontal region. Brain temperature (°C) was derived by analyzing 1H-MRS spectrum chemical shift differences between the water (~ 4.7 ppm) and N-acetyl aspartate (NAA) (~ 2.01 ppm) peaks. After quality control of the data, the following group numbers were available for both pre- and post-temperature estimations: sham (n = 10), low (n = 11), medium (n = 10), and high (n = 8). We did not detect significant temperature differences for any t-PBM-active or sham groups post-irradiation (p-value range = 0.105 and 0.781). We also tested for potential differences in the pre-post variability of brain temperature in each group. As for t-PBM active groups, the lowest fluctuation (variance) was observed for the medium dose (σ2 = 0.29), followed by the low dose (σ2 = 0.47), and the highest fluctuation was for the high dose (σ2 = 0.67). t-PBM sham condition showed the overall lowest fluctuation (σ2 = 0.11). Our 1H-MRS thermometry results showed no significant brain temperature elevations during t-PBM administration.

Enhanced Magnetic Heating for Efficient Oxygen Evolution Reaction by Pinning Effect of Ferromagnetic/Antiferromagnetic Coupling.

The magnetic heating effect under alternating magnetic fields (AMFs) has recently gained attention in catalysis due to its potential to greatly boost catalytic activities by providing localized heating around magnetic nanoparticles. However, nanoparticles still suffer from low magnetic heating efficiency due to their low magnetic anisotropy and thermal fluctuation, which is a key barrier in the wide application of AMF-assisted catalysis. Herein, by introducing the pinning effect of ferromagnetic/antiferromagnetic (FM/AFM) coupling, NiO/NiOOH (AFM/FM) core-shell nanoparticles exhibit significantly enhanced oxygen evolution reaction activity and resistance to thermal fluctuations under AMF, compared to NiOOH nanoparticles. Notably, magnetized NiO/NiOOH nanoparticles provide an overpotential of 186 mV at 10 mA cm-2, outperforming unmagnetized ones (218 mV) under the same conditions, further emphasizing the prominent role of the pinning effect in enhanced magnetic heating efficiency. This work provides valuable inspiration to design advanced magnetic catalysts and meet the challenge of the development of AMF-assisted catalysis.

Circadian heart rate fluctuations predict cardiovascular and all-cause mortality in type 2 and type 1 diabetes: a 21-year retrospective longitudinal study.

Circadian heart rate (HR) fluctuations are associated with cardiovascular health. We examined their relationship with microvascular disease and long-term survival in patients with diabetes. In this secondary analysis from the CHAMP1ON cohort of 497 adults with metabolic disease, 349 participants who had type 1 or type 2 diabetes, baseline 24h ambulatory blood pressure and HR monitoring (ABPM), and survival data over a 21-year observational follow-up were included. Clinical features, microvascular complications, and mortality rates were examined in participants with low circadian HR fluctuations (24h-HR SD below the median of 30.4) and blunted nocturnal HR dip (<10%). Low 24h-HR SD and blunted nocturnal HR dip were associated with an adverse cardiometabolic risk profile and 12-23% higher prevalence of cardiac autonomic neuropathy and nephropathy. After 6,251 person-years follow-up (21.0 [14.0-21.0] years), a total of 136 (39%) deaths occurred, of which 100 (68%) of cardiovascular cause. The low 24h-HR SD group had a higher risk for both cardiovascular (adjusted hazard ratio [aHR] 2.00, 95%CI 1.30-3.08, p=0.002) and all-cause mortality (aHR 1.61, 95%CI 1.13-2.29, p=0.009), compared with high 24h-HR SD. Similarly, patients with blunted nocturnal HR dip had a higher risk for cardiovascular (aHR 1.63, 95%CI 1.08-2.46, p=0.019) and all-cause mortality (aHR 1.69, 95%CI 1.20-2.38, p=0.003), compared with those with preserved nocturnal HR dip. Impaired circadian HR fluctuations are associated with microvascular disease and long-term cardiovascular and all-cause mortality in diabetes. ABPM-derived HR measures may provide a widely available and inexpensive risk stratification tool in this high-risk population.

Influence of Fiber Volume Fraction on the Predictability of UD FRP Ply Behavior: A Validated Micromechanical Virtual Testing Approach.

Enhancing the understanding of the behavior, optimizing the design, and improving the predictability and reliability of manufactured unidirectional (UD) FRP plies, which serve as primary building blocks for structural FRP laminates and components, are crucial to achieving a safe and cost-effective design. This research investigated the influence of fiber volume fraction (vf) on the predictability and reliability of the homogenized elastic properties and damage initiation strengths of two different types of UD FRP plies using validated micromechanical virtual testing for representative volume element (RVE) models. Several sources of uncertainties were included in the RVE models. This study also proposed a modified algorithm for microstructure generation and explored the effect of vf on the optimal sizes of the RVE in terms of fiber number. Virtual tests were systematically conducted using full factorial DOE coupled with Monte Carlo simulation. The modified algorithm demonstrated exceptional performance in terms of convergence speed and jamming limit, significantly reducing the time required to generate microstructures. The developed RVE models accurately predicted failure modes, loci, homogenized elastic properties, and damage initiation strengths with a mean error of less than 5%. Also, it was found that increasing vf led to a concurrent increase in the optimal size of the RVE. While it was found that the vf had a direct influence on homogenized elastic properties and damage initiation strengths, it did not significantly affect the reliability and predictability of these properties, as indicated by low correlation coefficients and fluctuations in the coefficient of variation of normalized properties.

Analyzing eight Turkish macroalgae: Fatty acids, proteins, and in silico biological activity profiles

AbstractThis study investigated the fatty acid (FA) compositions and proteins’ molecular weight profiles (MWP) of eight macroalgae species collected from the Antalya and Çanakkale in Turkiye: three red (Liagora viscida, Laurencia obtusa, Palisada perforata), three brown (Stypopodium schimperi, Cladostephus spongiosus, Halopteris scoparia), and two green (Caulerpa scalpelliformis, Penicillus capitatus). The potential bioactivities of the FAs were evaluated by in silico studies, focusing on anti‐cholinesterase, antioxidant, and cardioprotective effects. The predominant FA across all species was palmitic acid comprising over 50% of total FAs in most species. Docosahexaenoic acid (DHA) was abundant in seven of the eight species. Significant variations in MWPs were observed among species, with values ranging from &lt;2532 to &gt;67 000 Da. Brown algae generally exhibited higher MWP levels compared to red and green algae which showed distinctive profiles. In silico studies revealed that DHA exhibited the strongest binding affinity toward lipoxygenase acetylcholinesterase and butyrylcholinesterase enzymes with −8.829, −10.636, and −7.984 kcal mol−1 docking scores, respectively. DHA demonstrated significant interactions with key residues, forming hydrogen bonds critical for enzymatic inhibition and potential therapeutic effects. Molecular dynamics simulations confirmed the stability of DHA–protein complexes with low root mean square deviation and root mean square fluctuation values. This comprehensive analysis underscores the nutritional richness and potential bioactivity of macroalgae, particularly in terms of FA composition and protein profiles. The findings suggest that macroalgae, rich in DHA and other beneficial FAs, hold promise for pharmaceutical and nutraceutical applications, warranting further exploration into their therapeutic potential.Practical Applications: This study explores the fatty acid compositions and protein MWPs of eight macroalgae from Turkey's coasts. The findings suggest potential applications in aquaculture feeds and functional foods. Notably, DHA stands out for its antioxidant, cardioprotective, and cholinesterase inhibitor properties, making these macroalgae promising sources for obtaining DHA. The research supports practical applications in developing nutritional supplements, pharmaceuticals, and aquaculture practices, harnessing the bioactive potential of these marine resources for human health and industry.

Bonding Characteristics of CLT Made from Silver Birch (Betula pendula Roth.), European Aspen (Populus tremula L.) and Norway Spruce (Picea abies (L.) H. Karst.) Wood

This paper deals with the bonding characteristics of cross-laminated timber (CLT) panels made of Silver birch (Betula pendula Roth.), European aspen (Populus tremula L.), and Norway spruce (Picea abies (L.) H. Karst.) wood. Three-layered single-species CLT panels were manufactured using birch, aspen, and spruce lamellae bonded with a one-component polyurethane (PUR) adhesive. Spruce CLT panels were used as reference. The bonding characteristics of CLT were assessed based on bond shear strength, total and maximum delamination, and wood failure percentage. The reference spruce CLT met both criteria (Delamtot ≤ 10%, Delammax ≤ 40%) for passing the delamination test, where up to 80% of the test samples passed. The aspen and birch CLTs met the criterion for maximum delamination (26.5% and 33.2%, respectively), but exceeded the maximum allowed value for total delamination (12.7% and 13.2%, respectively). However, the minimum requirement of 70% wood failure percentage (WFP) was met for all CLT types, with aspen CLTs achieving 83.7% and birch CLTs 76.9%. The spruce CLTs achieved an average bond shear strength of 1.9 N/mm2, while both hardwood CLTs had significantly higher values, with the aspen CLT at 3.3 N/mm2 and the birch CLT at up to 3.9 N/mm2. Based on the results obtained, it can be concluded that cross-laminated timber (CLT) made from hardwoods like aspen and birch is suitable for environments with low humidity fluctuations.

Controllable lasing characteristics in Brillouin random fiber lasers by tailoring gain and random feedback fibers

Brillouin random fiber lasers (BRFLs), the combination of stimulated Brillouin scattering (SBS) gain and random distributed feedback, offer narrow linewidth lasing with simplicity and flexibility. However, BRFLs may not gain broad acceptance unless the fundamental lasing mechanisms governing their operation are fully understood and the lasing properties are effectively manipulated. Here, we demonstrate the control of lasing characteristics in BRFLs by tailoring the SBS gain fiber and the scattering pattern of the random feedback fiber. Experimental results show that BRFLs with 5 cm random fiber gratings (RFGs) feedback exhibit lower intensity fluctuation, longer coherence time, and more stable frequency compared to those with 6 km Rayleigh scattering fiber (RSF) feedback thanks to more correlated phase, lower mode density, and weaker dependence on external variations of RFGs. The low-randomness RFG feedback further improves the coherence time and intensity fluctuation attributed to the small period variation of sub-gratings. Moreover, the BRFL based on the high gain fiber and the strong scattering RFG feedback with low loss achieves high lasing efficiency and low threshold. The frequency jitter, intensity noise, and coherence time are also improved by reducing the gain fiber from 20 km to 1 km due to decreased mode hopping from mode competition. These results clarify the impact of gain and random feedback fibers on BRFL performance, offering insights for optimizing complex laser design for applications requiring high frequency stability and long coherence time.

SWOT Analysis as the Basis for Marketing Strategy Formulation at RSIA YPK Mandiri Jakarta to Increase Patient Visits in 2016

This study examines the SWOT analysis conducted at RSIA YPK Mandiri Jakarta to develop effective marketing strategies aimed at increasing patient visits. Facing stiff competition within Jakarta’s healthcare sector, the hospital needs to strengthen its position to sustain its operations and growth. By focusing on internal strengths, such as specialized healthcare services in maternity and pediatric care and strategic infrastructure, the hospital can address some of the challenges posed by external factors like low public perception and economic fluctuations. The analysis identifies key weaknesses, including a limited service range and underutilization of hospital resources. Opportunities for collaboration with insurance providers like BPJS and the possibility of expanding service offerings to appeal to a broader demographic are also highlighted. Recommendations include service diversification, digital marketing strategies, and enhancing patient satisfaction through improved care quality. By leveraging its strengths and mitigating threats, RSIA YPK Mandiri is better positioned to boost patient engagement and meet evolving healthcare demands.

Wind Farm Prediction of Icing Based on SCADA Data

In cold climates, ice formation on wind turbines causes power reduction produced by a wind farm. This paper introduces a framework to predict icing at the farm level based on our recently developed Temporal Convolutional Network prediction model for a single turbine using SCADA data.First, a cross-validation study is carried out to evaluate the extent predictors trained on a single turbine of a wind farm can be used to predict icing on the other turbines of a wind farm. This fusion approach combines multiple turbines, thereby providing predictions at the wind farm level. This study shows that such a fusion approach improves prediction accuracy and decreases fluctuations across different prediction horizons when compared with single-turbine prediction. Two approaches are considered to conduct farm-level icing prediction: decision fusion and feature fusion. In decision fusion, icing prediction decisions from individual turbines are combined in a majority voting manner. In feature fusion, features of individual turbines are averaged first before conducting prediction. The results obtained indicate that both the decision fusion and feature fusion approaches generate farm-level icing prediction accuracies that are 7% higher with lower standard deviations or fluctuations across different prediction horizons when compared with predictions for a single turbine.