Anti-inflammatory and anti-lung cancer activities of low-molecular-weight and high-sulfate-content sulfated polysaccharides extracted from the edible fungus Poria cocos.

Sulfated polysaccharides (SPSs) have excellent physicochemical properties, attracting research interest in the pharmaceutical industry. A previous study extracted SPS (named Suc40) from the edible fungus, Poria cocos and demonstrated that it exhibited anti-inflammatory and anticancer activities. In this study, three fractions of Suc40, Suc40 F1, Suc40 F2, and Suc40 F3, with different molecular weights and sulfate contents were prepared through gel-filtration column chromatography. The molecular weights of F1, F2, and F3 were approximately 616.23, 82.57, and 6.21 kDa, respectively, and their sulfate content were 0.23, 1.65, and 1.90 mmol/g, respectively. The fractions' anti-inflammatory activities were determined by assessing their ability to suppress inflammatory cytokines in lipopolysaccharide (LPS)-stimulated RAW264.7 cells. Suc40 F2 and Suc40 F3 suppressed interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) production by 60 % and 35 %, respectively. Suc40 F2 and Suc40 F3 suppressed protein kinase B (AKT)/p38 and p38 signaling, which resulted in anti-inflammatory effects. The fractions' anti-lung cancer activity was evaluated by assessing their H1975 cell proliferation inhibition. Suc40 F3 at a concentration of 800 µg/ml exhibited maximal cell proliferation inhibition. The low molecular weight and high sulfate content of Suc40 F3 were associated with its enhanced anti-inflammatory and anti-lung cancer activities.

Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data.

In the field of automatic optical inspection (AOI), this study presents innovative strategies to enhance object detection accuracy while minimizing dependence on large annotated datasets. We initially developed a defect detection model using a dataset of 3579 images across 32 categories, created in collaboration with a major Taiwanese panel manufacturer. This model was evaluated using 12,000 ambiguously labeled images, with improvements achieved through data augmentation and annotation refinement. To address the challenges of limited labeled data, we proposed the Adaptive Fused Semi-Supervised Self-Learning (AFSL) method. This approach, designed for anchor-based object detection models, leverages a small set of labeled data alongside a larger pool of unlabeled data to enable continuous model optimization. Key components of AFSL include the Bounding Box Assigner, Adaptive Training Scheduler, and Data Allocator, which together facilitate dynamic threshold adjustments and balanced training, significantly enhancing the model's performance on AOI datasets. The AFSL method improved the mean average precision (mAP) from 43.5% to 57.1% on the COCO dataset and by 2.6% on the AOI dataset, demonstrating its effectiveness in achieving high levels of precision and efficiency in AOI with minimal labeled data.

Decreased plasma gelsolin fosters a fibrotic tumor microenvironment and promotes chemoradiotherapy resistance in esophageal squamous cell carcinoma.

BACKGROUND: Stromal fibrosis is highly associated with therapeutic resistance and poor survival in esophageal squamous cell carcinoma (ESCC) patients. Low expression of plasma gelsolin (pGSN), a serum abundant protein, has been found to correlate with inflammation and fibrosis. Here, we evaluated pGSN expression in patients with different stages of cancer and therapeutic responses, and delineated the molecular mechanisms involved to gain insight into therapeutic strategies for ESCC. METHODS: Circulating pGSN level in ESCC patients was determined by enzyme-linked immunosorbent assay analysis, and the tissue microarray of tumors was analyzed by immunohistochemistry staining. Cell-based studies were performed to investigate cancer behaviors and molecular mechanisms, and mouse models were used to examine the pGSN-induced tumor suppressive effects in vivo. RESULTS: Circulating pGSN expression is distinctively decreased during ESCC progression, and low pGSN expression correlates with poor therapeutic responses and poor survival. Methylation-specific PCR analysis confirmed that decreased pGSN expression is partly attributed to the hypermethylation of the GSN promoter, the gene encoding pGSN. Importantly, cell-based immunoprecipitation and protein stability assays demonstrated that pGSN competes with oncogenic tenascin-C (TNC) for the binding and degradation of integrin αvß3, revealing that decreased pGSN expression leads to the promotion of oncogenic signaling transduction in cancer cells and fibroblasts. Furthermore, overexpression of pGSN caused the attenuation of TNC expression and inactivation of cancer-associated fibroblast (CAF), thereby leading to tumor growth inhibition in mice. CONCLUSIONS: Our results demonstrated that GSN methylation causes decreased secretion of pGSN, leading to integrin dysregulation, oncogenic TNC activation, and CAF formation. These findings highlight the role of pGSN in therapeutic resistance and the fibrotic tumor microenvironment of ESCC.

PPIH as a poor prognostic factor increases cell proliferation and m6A RNA methylation in hepatocellular carcinoma.

RNA-binding proteins (RBPs) play a crucial role in the biological processes of liver hepatocellular carcinoma (LIHC). Peptidyl-prolyl cis-trans isomerase H (PPIH), an RBP, possesses prolyl isomerase activity and functions as a protein chaperone. The relationship between PPIH and LIHC has not yet been fully elucidated. This study elucidated potential mechanisms through which PPIH affects the prognosis of LIHC. Bioinformatics analysis and in vitro experiments revealed that PPIH expression was higher in LIHC tissues than in normal tissues. PPIH was identified as an independent prognostic factor, with high PPIH expression being associated with worse prognoses. Moreover, PPIH increased the m6A RNA methylation level and promoted cell proliferation by modulating DNA replication and the expression of cell cycle-related genes in LIHC cells. Bioinformatics analysis also revealed that PPIH expression increased immune cell infiltration and the expression of immune checkpoint proteins. Collectively, these findings indicate that PPIH might promote LIHC progression by enhancing the m6A RNA methylation level, increasing cell proliferation, and altering the tumor immune microenvironment. Our study demonstrates that PPIH, as a poor prognostic factor, may lead to LIHC malignancy through multiple pathways. Further in-depth research on this topic is warranted.

Origin and evolution of a new tetraploid mangrove species in an intertidal zone.

Polyploidy is a major factor in the evolution of plants, yet we know little about the origin and evolution of polyploidy in intertidal species. This study aimed to identify the evolutionary transitions in three true-mangrove species of the genus Acanthus distributed in the Indo-West Pacific region. For this purpose, we took an integrative approach that combined data on morphology, cytology, climatic niche, phylogeny, and biogeography of 493 samples from 42 geographic sites. Our results show that the Acanthus ilicifolius lineage distributed east of the Thai-Malay Peninsula possesses a tetraploid karyotype, which is morphologically distinct from that of the lineage on the west side. The haplotype networks and phylogenetic trees for the chloroplast genome and eight nuclear genes reveal that the tetraploid species has two sub-genomes, one each from A. ilicifolius and A . ebracteatus, the paternal and maternal parents, respectively. Population structure analysis also supports the hybrid speciation history of the new tetraploid species. The two sub-genomes of the tetraploid species diverged from their diploid progenitors during the Pleistocene. Environmental niche models revealed that the tetraploid species not only occupied the near-entire niche space of the diploids, but also expanded into novel environments. Our findings suggest that A. ilicifolius species distributed on the east side of the Thai-Malay Peninsula should be regarded as a new species, A. tetraploideus, which originated from hybridization between A. ilicifolius and A. ebracteatus, followed by chromosome doubling. This is the first report of a true-mangrove allopolyploid species that can reproduce sexually and clonally reproduction, which explains the long-term adaptive potential of the species.

Impact of post-COVID-19 changes in outpatient chronic patients' healthcare-seeking behaviors on medical utilization and health outcomes.

INTRODUCTION: This study comprehensively investigates the changes in healthcare utilization among chronic patients with regular outpatient visits to hospitals after the occurrence of Covid-19. The research examines whether patients altered their originally regular medical attendance frequencies due to the pandemic and explores potential negative impacts on the health conditions of those irregular attendees post-pandemic. METHODS: Data for this study were sourced from a database at a medical center in Taiwan. The subjects were chronic patients with regular hospital outpatient visits before the Covid-19 outbreak. The study tracked medical utilization patterns from 2017 to 2022 for different patient characteristics and outpatient behaviors, employing statistical methods such as Repeated Measures ANOVA and Generalized Estimating Equation to analyze changes in healthcare utilization and health status during the post-pandemic period. RESULTS: The results reveal that, compared to the regular group, chronic patients with irregular outpatient visits during the post-pandemic period exhibited a decrease of 5.85 annual outpatient visits, a reduction of NT$20,290.1 in annual medical expenses, and a significantly higher abnormality rate in average biochemical test results by 0.9%. CONCLUSIONS: The findings contribute to understanding the impact of the Covid-19 pandemic on healthcare utilization and health conditions among outpatient chronic disease populations. In response to the new medical landscape in the post-pandemic era, proactive suggestions are made, including providing telemedicine outpatient services and referral-based medical care to meet the needs of the target population, ensuring a continuous and reassuring healthcare model for chronic patients, and mitigating the operational impacts of public health emergencies on hospitals.

Single-bundle ACL combined with ALL reconstruction yields comparable outcomes in patients with varied anatomical risk factors for ACL graft failure.

BACKGROUND: Anterior cruciate ligament (ACL) graft failure is influenced by factors such as meniscal tears and tibial plateau slope. Combined anterior cruciate ligament (ACL) and anterolateral ligament (ALL) reconstruction has reduced failure rates; however, its efficacy in high-risk patients remains unclear. This study hypothesized that combined ACL and ALL reconstruction would yield similar clinical outcomes in patients with varying risks of ACL failure. PATIENTS AND METHODS: A total of 76 patients who underwent primary single-bundle ACL reconstruction combined with ALL reconstruction between June 2018 and June 2021 were included. The medial tibial slope (MTS), lateral tibial slope (LTS), and anterior tibial translation (ATT) were measured using magnetic resonance imaging and plain radiography of the knee joint. The meniscal lesions were assessed during surgery. Preoperative clinical assessments and final follow-up were conducted using patient-reported outcome measurements (PROMs), including the International Knee Documentation Committee (IKDC) evaluation, Lysholm knee scoring scale, and Tegner Activity scale. PROMs were collected at least two years postoperatively. RESULTS: The average follow-up was 32.5 ± 7.4 months. There were no significant differences in postoperative IKDC score, Lysholm score, or Tegner activity score between patients with or without medial meniscus injury (p = 0.155, 0.914, and 0.042, respectively), with or without lateral meniscus injury (p = 0.737, 0.569, and 0.942, respectively), medial tibial slope > 12° or ≤ 12° (p = 0.290, 0.496, and 0.988, respectively), or lateral tibial slope > 7.4° or ≤ 7.4° (p = 0.213, 0.625, and 0.922, respectively). No significant correlations were found between anterior tibial translation and postoperative IKDC (R = -0.058, p = 0.365), Lysholm (R = -0.017, p = 0.459), or Tegner activity scores (R = -0.147, p = 0.189). CONCLUSION: Our study demonstrates that single-bundle ACL reconstruction combined with ALL reconstruction provides reliable and comparable clinical outcomes in patients with high-risk factors for ACL graft failure, such as increased tibial slope or meniscal injury. Our results suggest that the indications for ALL reconstruction may be expanded to include patients with a high tibial slope or meniscal injury, because these factors have been shown to contribute to increased rotational instability and high rates of ACL graft failure. Future prospective randomized controlled trials with large patient cohorts and long follow-up periods are needed to validate these findings and establish clear guidelines for patient selection and surgical decision-making. LEVEL OF EVIDENCE: Level 3.

A network meta-analysis: evaluating the efficacy and safety of concurrent proton pump inhibitors and clopidogrel therapy in post-PCI patients.

Introduction: The objective of this research was to evaluate the risk of major adverse cardiovascular events (MACEs) associated with the use of various proton pump inhibitors (PPIs) in combination with clopidogrel in patients who underwent percutaneous coronary intervention (PCI). Methods: To accomplish this, we analyzed data from randomized controlled trials and retrospective cohort studies sourced from key electronic databases. These studies specifically examined the effects of different PPIs, such as lansoprazole, esomeprazole, omeprazole, rabeprazole, and pantoprazole, when used in conjunction with clopidogrel on MACEs. The primary focus was on the differential impact of these PPIs, while the secondary focus was on the comparison of gastrointestinal (GI) bleeding events in groups receiving different PPIs with clopidogrel vs. a placebo group. This study's protocol was officially registered with INPLASY (INPLASY2024-2-0009). Results: We conducted a network meta-analysis involving 16 studies with a total of 145,999 patients. Our findings indicated that rabeprazole when combined with clopidogrel, had the lowest increase in MACE risk (effect size, 1.05, 95% CI: 0.66-1.66), while lansoprazole was associated with the highest risk increase (effect size, 1.48, 95% CI: 1.22-1.80). Esomeprazole (effect size, 1.28, 95% CI: 1.09-1.51), omeprazole (effect size, 1.23, 95% CI: 1.07-1.43), and pantoprazole (effect size, 1.38, 95% CI: 1.18-1.60) also significantly increased MACE risk. For the secondary outcome, esomeprazole (effect size, 0.30, 95% CI: 0.09-0.94), omeprazole (effect size, 0.34, 95% CI: 0.14-0.81), and pantoprazole (effect size, 0.33, 95% CI: 0.13-0.84) demonstrated an increased potential for GI bleeding prevention. Conclusions: In conclusion, the combination of lansoprazole and clopidogrel was found to significantly elevate the risk of MACEs without offering GI protection in post-PCI patients. This study is the first network meta-analysis to identify the most effective regimen for the concurrent use of clopidogrel with individual PPIs. Systematic Review Registration: https://inplasy.com/inplasy-2024-2-0009/, identifier (INPLASY2024-2-0009).

Discovery of a Peptoid-Based Nanoparticle Platform for Therapeutic mRNA Delivery via Diverse Library Clustering and Structural Parametrization.

Nanoparticle-mediated mRNA delivery has emerged as a promising therapeutic modality, but its growth is still limited by the discovery and optimization of effective and well-tolerated delivery strategies. Lipid nanoparticles containing charged or ionizable lipids are an emerging standard for in vivo mRNA delivery, so creating facile, tunable strategies to synthesize these key lipid-like molecules is essential to advance the field. Here, we generate a library of N-substituted glycine oligomers, peptoids, and undertake a multistage down-selection process to identify lead candidate peptoids as the ionizable component in our Nutshell nanoparticle platform. First, we identify a promising peptoid structural motif by clustering a library of >200 molecules based on predicted physical properties and evaluate members of each cluster for reporter gene expression in vivo. Then, the lead peptoid motif is optimized using design of experiments methodology to explore variations on the charged and lipophilic portions of the peptoid, facilitating the discovery of trends between structural elements and nanoparticle properties. We further demonstrate that peptoid-based Nutshells leads to expression of therapeutically relevant levels of an anti-respiratory syncytial virus antibody in mice with minimal tolerability concerns or induced immune responses compared to benchmark ionizable lipid, DLin-MC3-DMA. Through this work, we present peptoid-based nanoparticles as a tunable delivery platform that can be optimized toward a range of therapeutic programs.

Alveolar epithelial cells mitigate neutrophilic inflammation in lung injury through regulating mitochondrial fatty acid oxidation.

Type 2 alveolar epithelial (AT2) cells of the lung are fundamental in regulating alveolar inflammation in response to injury. Impaired mitochondrial long-chain fatty acid ß-oxidation (mtLCFAO) in AT2 cells is assumed to aggravate alveolar inflammation in acute lung injury (ALI), yet the importance of mtLCFAO to AT2 cell function needs to be defined. Here we show that expression of carnitine palmitoyltransferase 1a (CPT1a), a mtLCFAO rate limiting enzyme, in AT2 cells is significantly decreased in acute respiratory distress syndrome (ARDS). In mice, Cpt1a deletion in AT2 cells impairs mtLCFAO without reducing ATP production and alters surfactant phospholipid abundance in the alveoli. Impairing mtLCFAO in AT2 cells via deleting either Cpt1a or Acadl (acyl-CoA dehydrogenase long chain) restricts alveolar inflammation in ALI by hindering the production of the neutrophilic chemokine CXCL2 from AT2 cells. This study thus highlights mtLCFAO as immunometabolism to injury in AT2 cells and suggests impaired mtLCFAO in AT2 cells as an anti-inflammatory response in ARDS.

Anti-inflammatory potential of low-molecular-weight and high-sulfation-degree sulfated polysaccharides extracted from Antrodia cinnamomea.

Two novel sulfated polysaccharides (SPs), N10 and K5 were isolated from ammonium sulfate or potassium sulfate at concentrations of 10 mM and 5 mM in liquid cultures of Antrodia cinnamomea, respectively. N10 and K5 were galactoglucans with a galactose:glucose molar ratio of approximately 1:3. In lipopolysaccharide (LPS)-stimulated RAW264.7 cells, N10 and K5 exhibited strong anti-inflammatory potential, of 56 % and 23 % maximal inhibition of IL-6 and TNF-α production, respectively. Mechanical analysis revealed differences between N10 and K5, with N10 inhibiting the LPS-stimulated phosphorylation of ERK and p38 in RAW264.7 cells. K5 inhibited the LPS-stimulated phosphorylation of AKT and TGFßR-II. N10 and K5 were fragmented into F1, F2, and F3, the molecular weights of which were 455, 24, 0.9, and 327, 36, 1.9 kDa, respectively. K5 F2 and K5 F3 exhibited high degrees of sulfation of 1:3 and 1:8, resulting in strong anti-inflammation, of 83 % and 37 % highest inhibition of IL-6 and TNF-α production, respectively. Therefore, low-molecular-weight and high-sulfation-degree SPs exhibited strong anti-inflammatory activity. Specifically, K5 F2 inhibited the phosphorylation of p38, and K5 F3 suppressed the signaling pathway of p38/JNK. Overall, the sulfation degree of SPs is concluded to affect the anti-inflammatory responses.

Emerging Aspergillus lentulus infections in Taiwan: clinical and environmental surveillance.

Objectives: This study aimed to investigate the prevalence and characteristics of Aspergillus lentulus clinical and environmental isolates in Taiwan. Methods: Aspergillus isolates obtained from patients at three hospitals and from 530 soil samples across Taiwan were screened. A. lentulus, confirmed by calmodulin sequencing, was subjected to antifungal susceptibility testing and cyp51A analyses. Soil samples yielding A. lentulus were analysed for residues of 25 azole fungicides. Results: Nine A. lentulus isolates were identified, which included seven (1.2%, 7/601) isolates from three antifungal-naïve patients out of 601 Aspergillus section Fumigati clinical isolates and two (0.3%, 2/659) isolates out of 659 Aspergillus soil isolates. All isolates developed white colonies and failed to grow at 48°C. They were susceptible to anidulafungin but showed reduced susceptibility to amphotericin B (AmB), voriconazole and azole fungicides. One heart transplant recipient with proven invasive pulmonary aspergillosis (IPA) initially showed suboptimal response to voriconazole monotherapy but was cured with a combination of voriconazole-caspofungin, liposomal AmB (LAmB)-caspofungin, along with surgery, followed by voriconazole maintenance therapy. Among two critically ill patients with probable IPA, one survived with micafungin, while the other died of aspergillosis despite sequential isavuconazole and LAmB monotherapy. Clinical and environmental isolates sharing identical Cyp51A sequence are identified, matching the Cyp51A sequence of A. lentulus NIID0096. Flusilazole (0.0009 mg/kg) was detected in one soil sample. Conclusions: This study raises concerns about health threat posed by human pathogenic A. lentulus originating from natural environments and underscores the need for increased clinical and laboratory vigilance regarding A. lentulus infections.

Pilot study of using transcranial temporal interfering theta-burst stimulation for modulating motor excitability in rat.

Transcranial temporal interference stimulation (tTIS) is a promising brain stimulation method that can target deep brain regions by delivering an interfering current from surface electrodes. Most instances of tTIS stimulate the brain with a single-frequency sinusoidal waveform generated by wave interference. Theta burst stimulation is an effective stimulation scheme that can modulate neuroplasticity by generating long-term potentiation- or depression-like effects. To broaden tTIS application, we developed a theta burst protocol using tTIS technique to modulate neuroplasticity in rats. Two cannula electrodes were unilaterally implanted into the intact skull over the primary motor cortex. Electrical field of temporal interference envelopes generated by tTIS through cannula electrodes were recorded from primary motor cortex. Theta burst schemes were characterized, and motor activation induced by the stimulation was also evaluated simultaneously by observing electromyographic signals from the corresponding brachioradialis muscle. After validating the stimulation scheme, we further tested the modulatory effects of theta burst stimulation delivered by tTIS and by conventional transcranial electrical stimulation on primary motor cortex excitability. Changes in the amplitude of motor evoked potentials, elicited when the primary motor cortex was activated by electrical pulses, were measured before and after theta burst stimulation by both techniques. Significant potentiation and suppression were found at 15 to 30 min after the intermittent and continuous theta burst stimulation delivered using tTIS, respectively. However, comparing to theta burst stimulations delivered using conventional form of transcranial electrical stimulation, using tTIS expressed no significant difference in modulating motor evoked potential amplitudes. Sham treatment from both methods had no effect on changing the motor evoked potential amplitude. The present study demonstrated the feasibility of using tTIS to achieve a theta burst stimulation scheme for motor cortical neuromodulation. These findings also indicated the future potential of using tTIS to carry out theta burst stimulation protocols in deep-brain networks for modulating neuroplasticity.

Exploring the Effectiveness and Challenges of Community Rehabilitation Service Programs for Children with Developmental Delays: A Qualitative Study from the Perspective of Early Intervention Service Providers in Taiwan.

This qualitative study aimed to investigate the effectiveness of community rehabilitation programs for children with developmental delays from the perspective of early intervention service providers in Taiwan. Adopting a single-case experimental design (ABM design), this study examined the immediate and sustained effects of interventions on individualized goals during baseline, intervention, and maintenance phases. Additionally, data from interviews with parents, special education teachers, and other participants were collected to understand the challenges and improvement strategies of community rehabilitation programs. Results revealed that community rehabilitation programs for children with developmental delays exhibited both immediate and sustained effectiveness. Challenges faced by parents and professionals differed, with parents having less contact and communication with administrative systems, while professionals experienced more pronounced implementation difficulties during interventions. Moreover, strategies for improving community rehabilitation programs for children with developmental delays should vary for parents and professionals to address inconsistencies in attitudes and strategies among parents and administrative obstacles encountered by professionals.

Association of major candidate protein biomarkers and long-term diabetic kidney disease progression among Asians with young-onset type 2 diabetes mellitus.

AIMS: We aim to determine the association of seven major candidate protein biomarkers and diabetic kidney disease (DKD) progression among Asians with young-onset type 2 diabetes mellitus (T2DM). METHODS: 824 T2DM patients (onset ≤ 40 years old) were classified as DKD progressors based on yearly estimated glomerular filtration rate (eGFR) decline of >3 ml/min/1.73 m2 or >40 % from baseline. Plasma leucine-rich α-2-glycoprotein 1 (pLRG1), tumor necrosis factor-receptor 1 (pTNF-R1), pigment epithelium-derived factor (pPEDF), urinary α-1-microglobulin (uA1M), kidney injury molecular 1 (uKIM-1), haptoglobin (uHP) and uromodulin (uUMOD) were measured using enzyme-linked immunoassays. RESULTS: Over 5.7 years of follow-up, 25.2 % of patients were DKD progressors. Elevated levels of pLRG1, pTNF-R1, pPEDF, uA1M, uKIM-1 and uHP were associated with DKD progression. The association between pTNF-R1 levels and DKD progression persisted after adjusting for clinical covariates (OR 1.84, 95 %CI 1.44-2.34, p < 0.001). The effects of pTNF-R1 were partially mediated through hyperglycemia (8 %) and albuminuria (10 %). Inclusion of pTNF-R1 in a clinical variable-based model improved the area under the receiver operating characteristics curve for predicting DKD progression by 0.02, from 0.72 (95 %CI 0.68-0.76) to 0.74 (95 %CI 0.70-0.78), p = 0.099. CONCLUSIONS: Among seven major candidate proteins, pTNF-R1, partially mediated through hyperglycemia and albuminuria, robustly predicted DKD progression among Asians with young-onset T2DM.

Application of a bespoke monoclonal antibody panel to characterize immune cell populations in cave nectar bats.

Among their many unique biological features, bats are increasingly recognized as a key reservoir of many emerging viruses that cause massive morbidity and mortality in humans. Bats are capable of harboring many of these deadly viruses without any apparent signs of pathology, in a mechanism known as viral disease tolerance. However, the immunological mechanisms behind viral tolerance remain poorly understood. As a non-model organism species, there are very limited research resources and tools available to study bat immunology. In the cave nectar bat Eonycteris spelaea, we have a panel of monoclonal antibodies (mAbs) against major immune markers. An immunophenotyping survey of major immune compartments and barrier sites using these mAbs reveals differences in the immunological landscape of bats.

Implementation of Accurate Parameter Identification for Proton Exchange Membrane Fuel Cells and Photovoltaic Cells Based on Improved Honey Badger Algorithm.

Predicting the system efficiency of green energy and developing forward-looking power technologies are key points to accelerating the global energy transition. This research focuses on optimizing the parameters of proton exchange membrane fuel cells (PEMFCs) and photovoltaic (PV) cells using the honey badger algorithm (HBA), a swarm intelligence algorithm, to accurately present the performance characteristics and efficiency of the systems. Although the HBA has a fast search speed, it was found that the algorithm's search stability is relatively low. Therefore, this study also enhances the HBA's global search capability through the rapid iterative characteristics of spiral search. This method will effectively expand the algorithm's functional search range in a multidimensional and complex solution space. Additionally, the introduction of a sigmoid function will smoothen the algorithm's exploration and exploitation mechanisms. To test the robustness of the proposed methodology, an extensive test was conducted using the CEC'17 benchmark functions set and real-life applications of PEMFC and PV cells. The results of the aforementioned test proved that with regard to the optimization of PEMFC and PV cell parameters, the improved HBA is significantly advantageous to the original in terms of both solving capability and speed. The results of this research study not only make definite progress in the field of bio-inspired computing but, more importantly, provide a rapid and accurate method for predicting the maximum power point for fuel cells and photovoltaic cells, offering a more efficient and intelligent solution for green energy.

The complete mitochondrial genome data of Pholas orientalis (Gmelin, 1791) from Malaysia.

Pholas orientalis (angelwing clam) is a mollusc species found in the coastal areas of Southeast Asia. Despite its economic significance, genetic information on the species is lacking. In this study, a P. orientalis specimen was collected from Kedah, Malaysia, and its complete mitochondrial genome was assembled using whole-genome sequencing data generated on an DNBSEQ-G400 platform. The circular mitochondrial genome of P. orientalis is 18,995 bp in size and contains 12 protein-coding genes (PCGs), 22 tRNAs, two rRNAs, and three control regions (D-loops). All genes are located on the heavy strand. The mitogenome has a base composition of 25.4 % A, 41.5 % T, 22.1% G, and 11 % C, exhibiting a bias towards AT content (66.9 %). The mitochondrial genomes of P. orientalis and 11 other Pholadoidea species were included in a phylogenetic analysis, which indicated that P. orientalis is closely related to Xyloredo nooi. The data reported in this study represents the first time that a Pholas mitochondrial genome has been reported. Such data will contribute to the better understanding of genetic relationships between P. orientalis and its relatives, leading to informed conservation and sustainable utilization of the species.