A novel clustered-based detection method for shilling attack in private environments.

The topic of privacy-preserving collaborative filtering is gaining more and more attention. Nevertheless, privacy-preserving collaborative filtering techniques are vulnerable to shilling or profile injection assaults. Hence, it is crucial to identify counterfeit profiles in order to achieve total success. Various techniques have been devised to identify and prevent intrusion patterns from infiltrating the system. Nevertheless, these strategies are specifically designed for collaborative filtering algorithms that do not prioritize privacy. There is a scarcity of research on identifying shilling attacks in recommender systems that prioritize privacy. This work presents a novel technique for identifying shilling assaults in privacy-preserving collaborative filtering systems. We employ an ant colony clustering detection method to effectively identify and eliminate fake profiles that are created by six widely recognized shilling attacks on compromised data. The objective of the study is to categorize the fraudulent profiles into a specific cluster and separate this cluster from the system. Empirical experiments are conducted with actual data. The empirical findings demonstrate that the strategy derived from the study effectively eliminates fraudulent profiles in privacy-preserving collaborative filtering.

Multiple small-dose infusions of G-CSF-mobilized haploidentical lymphocytes after autologous haematopoietic stem cell transplantation for acute myeloid leukaemia.

This retrospective study analysed 106 acute myeloid leukaemia (AML) patients undergoing autologous haematopoietic stem cell transplantation (ASCT) to assess the impact of multiple small-dose infusions of granulocyte-colony-stimulating factor (G-CSF)-mobilized haploidentical lymphocytes as post-ASCT maintenance therapy. Among them, 50 patients received lymphocyte maintenance therapy, 21 received alternative maintenance therapy, and 35 received no maintenance therapy. Patients receiving lymphocyte maintenance therapy demonstrated significantly higher overall survival (OS) and disease-free survival (DFS) compared to those without maintenance therapy, with 4-year OS and DFS rates notably elevated. While there were no significant differences in recurrence rates among the three groups, lymphocyte maintenance therapy showcased particular benefits for intermediate-risk AML patients, yielding significantly higher OS and DFS rates and lower relapse rates compared to alternative maintenance therapy and no maintenance therapy. The study suggests that multiple small-dose infusions of G-CSF-mobilized haploidentical lymphocytes may offer promising outcomes for AML patients after ASCT, particularly for those classified as intermediate-risk. These findings underscore the potential efficacy of lymphocyte maintenance therapy in reducing disease relapse and improving long-term prognosis in this patient population.

Rapid and nondestructive watermelon (Citrullus lanatus) seed viability detection based on visible near-infrared hyperspectral imaging technology and machine learning algorithms.

The improper storage of seeds can potentially compromise agricultural productivity, leading to reduced crop yields. Therefore, assessing seed viability before sowing is of paramount importance. Although numerous techniques exist for evaluating seed conditions, this research leveraged hyperspectral imaging (HSI) technology as an innovative, rapid, clean, and precise nondestructive testing method. The study aimed to determine the most effective classification model for watermelon seeds. Initially, purchased watermelon seeds were segregated into two groups: One underwent sterilization in a dehydrator machine at 40°C for 36 h, whereas the other batch was stored under favorable conditions. Watermelon seeds' spectral images were captured using an HSI with a charge-coupled device camera ranging from 400 to 1000 nm, and the segmented regions of all samples were measured. Preprocessing techniques and wavelength selection methods were applied to manage spectral data workload, followed by the implementation of a support vector machine (SVM) model. The initial hybrid-SVM model achieved a predictive accuracy rate of 100%, with a test set accuracy of 92.33%. Subsequently, an artificial bee colony (ABC) optimization was introduced to enhance model precision. The results indicated that, with kernel parameters (c, g) set at 13.17 and 0.01, respectively, and a runtime of 4.19328 s, the training and evaluation of the dataset achieved an accuracy rate of 100%. Hence, it was practical to utilize HSI technology combined with the PCA-ABC-SVM model to detect different watermelon seeds. As a result, these findings introduce a novel technique for accurately forecasting seed viability, intended for use in agricultural industrial multispectral imaging. PRACTICAL APPLICATION: The traditional methods for determining the condition of seeds primarily emphasize aesthetics, rely on subjective assessment, are time-consuming, and require a lot of labor. On the other hand, HSI technology as green technology was employed to alleviate the aforementioned problems. This work significantly contributes to the field of industrial multispectral imaging by enhancing the capacity to discern various types of seeds and agricultural crop products.

Effect of ultrasonic and Er,Cr:YSGG laser-activated irrigation protocol on dual-species root canal biofilm removal: An in vitro study.

Aim: The aim of the study was to investigate the disinfecting efficacy of a standardized irrigating solution activated by ultrasonics or laser irradiation on mature dual-species biofilms at different root levels in vitro. Materials and Methods: Conventional access cavity preparations were done on 160 single-rooted mandibular premolar teeth with single canals. Freshly extracted oral microbial strains of Staphylococcus aureus, Streptococcus mutans, Enterococcus faecalis, and Candida albicans after biochemical confirmation were used to generate two discrete dual-species microbial inoculums. The sterilized tooth samples were randomly segregated into two groups (n = 80) and inoculated with a mixed inoculum of S. aureus + E. faecalis strains (Group 1) and S. mutans + C. albicans strains (Group 2), respectively. Following the 21-day incubation period under aerobic conditions, the infected specimens in each group were divided into four subgroups (n = 20) and subjected to experimental treatment protocols. This included a positive control (no treatment of biofilms), syringe irrigation alone with TruNatomy needle, passive ultrasonically activated irrigation with 20# Irrisafe tip, and laser agitation of irrigant with Er,Cr:YSGG laser using RFT 2 laser tip. Root canals of experimental specimens (except the control samples) are instrumented with TruNatomy rotary file system using 1:1 mixture of 3% NaOCl and 18% etidronic acid as irrigants. The quantitative assessment of reduction in viable biofilm microbes after treatment was done using colony-forming unit counts and confocal laser scanning microscopy image analysis. The obtained data were analyzed statistically with a significant level set at 0.05. Results: Laser-assisted irrigation has shown a considerably higher mean percentage reduction of microbes compared to ultrasonic agitation and the syringe irrigation showed the least microbial reduction (P = 0.001). No significant difference was noted between the three root regions of ultrasonic and laser groups (P > 0.05), whereas in the syringe groups, apical portions showed higher microbial counts compared to cervical and mid-root regions (P = 0.001). Conclusion: Erbium laser-assisted irrigation has performed superior to ultrasonic agitation against both the experimental dual-species biofilms, while the syringe irrigation showed the least microbial reduction specifically at apical root portions.

Pharmacokinetic-pharmacodynamic modeling of tuberculosis time to positivity and colony-forming unit to assess the response to dose-ranging linezolid.

According to the World Health Organization, the number of tuberculosis (TB) infections and the drug-resistant burden worldwide increased by 4.5% and 3.0%, respectively, between 2020 and 2021. Disease severity and complexity drive the interest for undertaking new clinical trials to provide efficient treatment to limit spread and drug resistance. TB Alliance conducted a phase 2 study in 106 patients to guide linezolid (LZD) dose selection using early bactericidal activity over 14 days of treatment. LZD is highly efficient for drug-resistant TB treatment, but treatment monitoring is required since serious adverse events can occur. The objective of this study was to develop a pharmacokinetic-pharmacodynamic (PKPD) model to analyze the dose-response relationship between linezolid exposure and efficacy biomarkers. Using time to positivity (TTP) and colony-forming unit (CFU) count data, we developed a PKPD model in six dosing regimens, differing on LZD dosing intensity. A one-compartment model with five transit absorption compartments and non-linear auto-inhibition elimination described best LZD pharmacokinetic characteristics. TTP and CFU logarithmic scaled [log(CFU)] showed a bactericidal activity of LZD against Mycobacterium tuberculosis. TTP was defined by a model with two significant covariates: the presence of uni- and bilateral cavities decreased baseline TTP value by 24%, and an increase on every 500 mg/L/h of cumulative area under the curve increased the rate at which TTP and CFU change from baseline by 20% and 11%, respectively. CLINICAL TRIALS: This study is registered with ClinicalTrials.gov as NCT02279875.

Modified mesenchymal stromal cells by in vitro transcribed mRNA: a therapeutic strategy for hepatocellular carcinoma.

BACKGROUND: Mesenchymal stromal cells (MSCs) tropism for tumours allows their use as carriers of antitumoural factors and in vitro transcribed mRNA (IVT mRNA) is a promising tool for effective transient expression without insertional mutagenesis risk. Granulocyte-macrophage colony-stimulating factor (GM-CSF) is a cytokine with antitumor properties by stimulating the specific immune response. The aim of this work was to generate modified MSCs by IVT mRNA transfection to overexpress GM-CSF and determine their therapeutic effect alone or in combination with doxorubicin (Dox) in a murine model of hepatocellular carcinoma (HCC). METHODS: DsRed or GM-CSF IVT mRNAs were generated from a cDNA template designed with specific primers followed by reverse transcription. Lipofectamine was used to transfect MSCs with DsRed (MSC/DsRed) or GM-CSF IVT mRNA (MSC/GM-CSF). Gene expression and cell surface markers were determined by flow cytometry. GM-CSF secretion was determined by ELISA. For in vitro experiments, the J774 macrophage line and bone marrow monocytes from mice were used to test GM-CSF function. An HCC model was developed by subcutaneous inoculation (s.c.) of Hepa129 cells into C3H/HeN mice. After s.c. injection of MSC/GM-CSF, Dox, or their combination, tumour size and mouse survival were evaluated. Tumour samples were collected for mRNA analysis and flow cytometry. RESULTS: DsRed expression by MSCs was observed from 2 h to 15 days after IVT mRNA transfection. Tumour growth remained unaltered after the administration of DsRed-expressing MSCs in a murine model of HCC and MSCs expressing GM-CSF maintained their phenotypic characteristic and migration capability. GM-CSF secreted by modified MSCs induced the differentiation of murine monocytes to dendritic cells and promoted a proinflammatory phenotype in the J774 macrophage cell line. In vivo, MSC/GM-CSF in combination with Dox strongly reduced HCC tumour growth in C3H/HeN mice and extended mouse survival in comparison with individual treatments. In addition, the tumours in the MSC/GM-CSF + Dox treated group exhibited elevated expression of proinflammatory genes and increased infiltration of CD8 + T cells and macrophages. CONCLUSIONS: Our results showed that IVT mRNA transfection is a suitable strategy for obtaining modified MSCs for therapeutic purposes. MSC/GM-CSF in combination with low doses of Dox led to a synergistic effect by increasing the proinflammatory tumour microenvironment, enhancing the antitumoural response in HCC.

Steady-State Versus Chemotherapy-Based Stem Cell Mobilization in Multiple Myeloma: A Single-Center Study to Analyze Efficacy and Safety.

Background: High-dose chemotherapy followed by autologous hematopoietic stem cell support is recommended in the treatment of eligible multiple myeloma (MM) patients. The aim of this study was to compare the efficacy and safety of steady-state versus chemotherapy-based stem cell mobilization in our Hungarian patient population. Methods: The subjects were 210 MM patients who underwent stem cell mobilization procedure between 2018 and 2022. Solo granulocyte colony-stimulating factor (G-CSF) was administered in 104 cases, while 106 patients received chemotherapy which was followed by G-CSF administration. We evaluated the ratio of successful mobilizations, the amount of collected stem cells, the incidence of infections and cost-effectivity in the two groups. Results: In the steady-state group, there was a significantly higher need for plerixafor (45% vs. 13%, P < 0.001), unsuccessful stem cell mobilization was more frequent (11% vs. 3%, P = 0.024) and the mean amount of collected stem cells was lower (6.9 vs. 9.8 × 106, P < 0.001) than in the chemotherapy group. However, infections were less frequent (4% vs. 27%, P < 0.001) and the number of days spent in hospital was significantly lower (6 vs. 14 days, P < 0.001). Plerixafor was more frequently administered in those who had received lenalidomide or daratumumab than in those who had been treated with other regimens (41% vs. 23%, P = 0.007 and 78% vs. 23%, P < 0.001, respectively). Conclusions: Steady-state mobilization is a safe method; however, the higher rate of plerixafor administration and unsuccessful attempts may question its superiority to chemomobilization.

Analysis of a lung cancer case with transient pseudo hypoglycemia after PEG-rhG-CSF treatment.

Pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) is an effective treatment for chemotherapy-induced neutropenia. However, it can also induce various adverse effects, including fever, bone pain, and other discomforts arising from the abnormal proliferation of blood cells. This study presents an analysis of a case involving a middle-aged patient with small cell lung cancer who exhibited transiently low blood glucose levels without experiencing any symptoms of hypoglycemia following PEG-rhG-CSF treatment. After thorough evaluation by clinicians and pharmacists, the condition was diagnosed as pseudohyperglycemia, a phenomenon distinct from true hyperglycemia. The article provides a pharmaceutical perspective on the contributing factors, mechanisms, and management strategies for pseudohypoglycemia, offering valuable insights for clinical practice.

Granulocyte colony-stimulating factor has the potential to attenuate the therapeutic efficacy of chemo-immunotherapy for extensive-stage small-cell lung cancer.

BACKGROUND: Granulocyte colony-stimulating factor (G-CSF) has the potential to attenuate the anti-tumor immune responses of T-cells by increasing immune suppressive neutrophils and myeloid-derived suppressor cells. However, the clinical impact of G-CSF on the efficacy of immunotherapy remains unknown. This multi-center retrospective analysis evaluated the impact of G-CSF in patients with extensive-stage small-cell lung cancer (ES-SCLC) treated with chemo-immunotherapy. METHODS: We analyzed 65 patients with ES-SCLC who completed four cycles of induction chemo-immunotherapy and evaluated the effects of G-CSF on progression-free survival (PFS), overall survival (OS), and a durable response to immunotherapy (defined as PFS ≥ 12 months). RESULTS: Fifty patients (76.9%) received ≥ 1 dose of G-CSF. The PFS of the patients with G-CSF was poorer than that of the patients without G-CSF (median PFS 8.3 vs. 4.9 months, p = 0.009). The OS of the patients with G-CSF tended to be shorter, but not statistically significant, than that of the patients without G-CSF (median OS 24.3 vs. 16.4 months, p = 0.137). In the multivariate analysis, G-CSF administration was associated with poorer PFS (hazard ratio 2.78, 95% CI 1.36-5.69, p = 0.005) and was identified as a determinant of a durable response (odds ratio 0.18, 95% CI 0.04-0.80, p = 0.024). These results were consistent with other definitions of G-CSF administration (administration of ≥ 1 dose of pegfilgrastim, or either ≥ 5 doses of filgrastim or ≥ 1 dose of pegfilgrastim). CONCLUSIONS: G-CSF has the potential to attenuate the efficacy of immunotherapy; therefore, the indication for G-CSF during chemo-immunotherapy should be carefully considered for ES-SCLC.

Enhancement of cyber security in IoT based on ant colony optimized artificial neural adaptive Tensor flow.

The Internet of Things (IoT) is a network that connects various hardware, software, data storage, and applications. These interconnected devices provide services to businesses and can potentially serve as entry points for cyber-attacks. The privacy of IoT devices is increasingly vulnerable, particularly to threats like viruses and illegal software distribution lead to the theft of critical information. Ant Colony-Optimized Artificial Neural-Adaptive Tensorflow (ACO-ANT) technique is proposed to detect malicious software illicitly disseminated through the IoT. To emphasize the significance of each token in source duplicate data, the noise data undergoes processing using tokenization and weighted attribute techniques. Deep learning (DL) methods are then employed to identify source code duplication. Also the Multi-Objective Recurrent Neural Network (M-RNN) is used to identify suspicious activities within an IoT environment. The performance of proposed technique is examined using Loss, accuracy, F measure, precision to identify its efficiency. The experimental outcomes demonstrate that the proposed method ACO-ANT on Malimg dataset provides 12.35%, 14.75%, 11.84% higher precision and 10.95%, 15.78%, 13.89% higher f-measure compared to the existing methods. Further, leveraging block chain for malware detection is a promising direction for future research the fact that could enhance the security of IoT and identify malware threats.

Correlation between the Colony Phenotype and Amino Acid Sequence of the Variable Vaa Antigen in Clinical Isolates of Mycoplasma hominis.

A new Mycoplasma hominis phenotype forming mini-colonies (MC) on agar and distinct from the phenotype forming typical colonies (TC) not only in size, but also in morphology, growth rate, and resistance to adverse factors, has been previously identified. In this study, the phenotype of colonies was determined and a comparative analysis of the amino acid sequence of the main variable antigen Vaa of the laboratory strain N-34 and seven clinical isolates of M. hominis was performed. It is demonstrated that the amino acid sequence of Vaa in clinical isolates forming TC (similar to the laboratory strain N-34) is entirely analogous to that of laboratory strain. Clinical isolates forming MC carry amino acid substitutions in the variable C-terminal region of Vaa, which can contribute to adhesion to eukaryotic cells and immune evasion. The connection between colony phenotype and amino acid sequence of Vaa is established.

Inhibition of fusarium graminearum growth and spore germination by a streptomyces amritsarensis strain capable of killing and growing on microcystis scum.

AIMS: Developing energy-saving and ecofriendly strategies for treating harvested Microcystis biomass. METHODS AND RESULTS: Streptomyces amritsarensis HG-16 was first reported to effectively kill various morphotypes of natural Microcystis colonies at very high cell densities. Concurrently, HG-16 grown on lysed Microcystis maintained its antagonistic activity against plant pathogenic fungus Fusarium graminearum. It could completely inhibit spore germination and destroy mycelial structure of F. graminearum. Transcriptomic analysis revealed that HG-16 attacked F. graminearum in a comprehensive way: interfering with replication, transcription, and translation processes, inhibiting primary metabolisms, hindering energy production and simultaneously destroying stress-resistant systems of F. graminearum. CONCLUSIONS: The findings of this study provide a sustainable and economical option for resource reclamation from Microcystis biomass: utilizing Microcystis slurry to propagate HG-16, which can subsequently be employed as a biocontrol agent for managing F. graminearum.

G-CSF promotes the development of hepatocellular carcinoma by activating the PI3K/AKT/mTOR pathway in TAM.

OBJECTIVE: This investigation seeks to elucidate the role of the Granulocyte Colony-Stimulating Factor (G-CSF) in the progression of hepatocellular carcinoma (HCC), as well as the impact of the substance on related signaling pathways within the disease matrix. METHODS: Nude mouse tumor-bearing assay was used to detect tumor progression. Levels of Mannose/CD68 and CD34/Mannose within these samples and the concentrations of Mannose and inducible Nitric Oxide Synthase (iNOS) in macrophages were quantified using immunofluorescence techniques. The angiogenic capability was assessed via tube formation assays, and protein expressions of G-CSF, Vascular Endothelial Growth Factor (VEGF), Transforming Growth Factor-beta (TGF-ß), Matrix Metalloproteinases 2 and 9 (MMP2/9), SH2-containing protein tyrosine phosphatase-2 (SHP-2), phosphorylated PI3K/total PI3K (P-PI3K/t-PI3K), phosphorylated AKT/total AKT (P-AKT/t-AKT), and phosphorylated mTOR/total mTOR (P-mTOR/t-mTOR) were measured through Western Blot analysis in both tumor tissues and macrophages. RESULTS: Administration of G-CSF resulted in a marked augmentation of tumor volume. Macrophage Mannose expression was significantly elevated upon G-CSF treatment, while iNOS levels were conspicuously diminished. G-CSF substantially enhanced the secretion of VEGF, TGF-ß, and MMPs in tumor tissues. Macrophage parameters, following incubation in G-CSF pre-treated conditioned medium, indicated enhanced tube-forming capabilities relative to the control, an effect mitigated by the introduction of specific inhibitors. Furthermore, the G-CSF group exhibited a notable reduction in SHP-2 expression, alongside a substantial elevation in the phosphorylation levels of the PI3K/AKT/mTOR pathway proteins across all tumor-bearing paradigms. CONCLUSION: G-CSF ostensibly facilitates the advancement of hepatocellular carcinoma by activating the PI3K/AKT/mTOR signaling cascade within Tumor-Associated Macrophages (TAM).

Maximum likelihood estimators for colony-forming units.

Measuring the abundance of microbes in a sample is a common procedure with a long history, but best practices are not well-conserved across microbiological fields. Serial dilution methods are commonly used to dilute bacterial cultures to produce countable numbers of colonies, and from these counts, to infer bacterial concentrations measured in colony-forming units (CFUs). The most common methods to generate data for CFU point estimates involve plating bacteria on (or in) a solid growth medium and counting their resulting colonies or counting the number of tubes at a given dilution that have growth. Traditionally, these types of data have been analyzed separately using different analytic methods. Here, we build a direct correspondence between these approaches, which allows one to extend the use of the most probable number method from the liquid tubes experiments, for which it was developed, to the growth plates by viewing colony-sized patches of a plate as equivalent to individual tubes. We also discuss how to combine measurements taken at different dilutions, and we review several ways of analyzing colony counts, including the Poisson and truncated Poisson methods. We test all point estimate methods computationally using simulated data. For all methods, we discuss their relevant error bounds, assumptions, strengths, and weaknesses. We provide an online calculator for these estimators.Estimation of the number of microbes in a sample is an important problem with a long history. Yet common practices, such as combining results from different measurements, remain sub-optimal. We provide a comparison of methods for estimating abundance of microbes and detail a mapping between different methods, which allows to extend their range of applicability. This mapping enables higher precision estimates of colony-forming units (CFUs) using the same data already collected for traditional CFU estimation methods. Furthermore, we provide recommendations for how to combine measurements of colony counts taken across dilutions, correcting several misconceptions in the literature.

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Objective: To investigate the effects of intrauterine perfusion with granulocyte colony-stimulating factor (G-CSF) on the endometrial thickness, volume, and blood flow parameters of patients with thin endometrium and their clinical outcomes. Methods: We designed a prospective non-randomized synchronous controlled trial and recruited patients with thin endometrium who underwent frozen-thawed embryo transfer (FET) at Mianyang Central Hospital between September 1, 2021 and September 1, 2023. They were divided into two groups, an experimental group of patients who received the experimental treatment of intrauterine perfusion with G-CSF and a control group of patients who did not receive the experimental treatment. The general data and the clinical outcomes of the two groups were analyzed and compared. The endometrial thickness, volume and blood flow parameters of patients in the experimental group before and after intrauterine perfusion with G-CSF were analyzed. Results: The clinical data of 83 patients were included in the study. The experimental group included 51 cases, while the control group included 31 cases. There were no significant differences in the baseline data between the two groups. The clinical pregnancy rate of the experimental group (56.86%) was higher than that of the control group (50.00%) and the rate of spontaneous abortion in the experimental group (27.59%) was lower than that in the control group (37.50%), but the differences were not statistically significant (P>0.05). In the experimental group, the postperfusion endometrial thickness ([0.67±0.1] cm) was greater than the preperfusion endometrial thickness ([0.59±0.09] cm), the postperfusion ([1.84±0.81] cm3) was greater than the preperfusion endometrial volume ([1.54±0.69] cm3), and the postperfusion vascularization flow index (VFI) (1.97±2.82) was greater than the preperfusion VFI (0.99±1.04), with all the differences being statistically significant (P<0.05). Conclusion: Intrauterine perfusion with G-CSF can enhance the endometrial thickness, volume, and some blood flow parameters in patients with thin endometrium.

Bee-inspired insights: Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction.

Analysis of the change in groundwater used as a drinking and irrigation water source is of critical importance in terms of monitoring aquifers, planning water resources, energy production, combating climate change, and agricultural production. Therefore, it is necessary to model groundwater level (GWL) fluctuations to monitor and predict groundwater storage. Artificial intelligence-based models in water resource management have become prevalent due to their proven success in hydrological studies. This study proposed a hybrid model that combines the artificial neural network (ANN) and the artificial bee colony optimization (ABC) algorithm, along with the ensemble empirical mode decomposition (EEMD) and the local mean decomposition (LMD) techniques, to model groundwater levels in Erzurum province, Türkiye. GWL estimation results were evaluated with mean square error (MSE), coefficient of determination (R2), and residual sum of squares (RSS) and visually with violin, scatter, and time series plot. The study results indicated that the EEMD-ABC-ANN hybrid model was superior to other models in estimating GWL, with R2 values ranging from 0.91 to 0.99 and MSE values ranging from 0.004 to 0.07. It has also been revealed that promising GWL predictions can be made with previous GWL data.

A systematic literature review on meta-heuristic based feature selection techniques for text classification.

Feature selection (FS) is a critical step in many data science-based applications, especially in text classification, as it includes selecting relevant and important features from an original feature set. This process can improve learning accuracy, streamline learning duration, and simplify outcomes. In text classification, there are often many excessive and unrelated features that impact performance of the applied classifiers, and various techniques have been suggested to tackle this problem, categorized as traditional techniques and meta-heuristic (MH) techniques. In order to discover the optimal subset of features, FS processes require a search strategy, and MH techniques use various strategies to strike a balance between exploration and exploitation. The goal of this research article is to systematically analyze the MH techniques used for FS between 2015 and 2022, focusing on 108 primary studies from three different databases such as Scopus, Science Direct, and Google Scholar to identify the techniques used, as well as their strengths and weaknesses. The findings indicate that MH techniques are efficient and outperform traditional techniques, with the potential for further exploration of MH techniques such as Ringed Seal Search (RSS) to improve FS in several applications.

Stay or go? Changing breeding conditions affect sexual difference in colony attendance strategies of Atlantic puffins Fratercula arctica.

Male and female birds have different roles in reproduction and, thereby in their reproductive investment, which in turn may increase negative effects of poorer breeding conditions caused by e.g., climate change or ecosystem regime shifts. By using a 33-year time series of resightings of Atlantic puffins Fratercula arctica individually colour-ringed as breeders in previous years, we showed that the difference in colony attendance of male and female birds depended on the environmental conditions for raising young, proxied by the average duration of the chick period and size of the herring Clupea harengus fed to the chicks in the colony each year. The longer the chick period, the more was the sex ratio of adults sitting visibly in the colony biased in favour of males. An increase in herring size, indicating better feeding conditions for raising chicks, led to more observations of both sexes. Additionally, we found that birds were observed less with age and females more so than males. We discuss the results in relation to general life-history theory on sexual differences in trade-offs between individual investment in breeding and own survival. Our results suggest that females are increasingly more willing than males to invest in provisioning for the chick the more and longer the chick needs such care.

Quality Control in Human Adipose-Derived Stromal/Stem Cells and Tissue Engineering Fat Models for Aging Studies.

Adipose tissue is recognized not only as an endocrine organ but also as a reservoir for adipose-derived stromal/stem cells (ASCs). ASCs have stimulated the interest of both the scientific and medical communities due to their therapeutic potential and applications in tissue engineering and regenerative medicine. ASCs are leveraged for their multipotency and their paracrine function. ASC behavior is highly variable and donor dependent. Donor age, body mass index, disease status, sex, and ethnicity can lead to differential overall function and quality. The impact of donor age and passage on ASC behavior has been well documented, impacting cell proliferation and differentiation potential and thus must be taken into careful consideration when conducting in vitro studies. Pooling of ASCs from different donors reduces heterogeneity among individual donors and produces ASCs with a consistent differentiation and paracrine profiles, an advantage for studies in biological aging. This chapter provides a detailed overview for studies related to quality control for ASC pools considering biological and chronological aging in ASCs. There are hallmarks of biological aging and specific assays associated with the evaluation of each hallmark. Nevertheless, here we present the assays that provide a standardized characterization and qualification of donor pools for their regenerative potential, considering chronological and biological age of the pool. The assays included in this chapter are considered quality control standards to evaluate cell proliferation, differentiation, colony-forming units, and cellular senescence from different donor age and cell passage cohorts.

Pegylated recombinant human granulocyte colony-stimulating factor for primary prophylaxis of neutropenia in patients with cervical cancer receiving concurrent chemoradiotherapy: a prospective study.

BACKGROUND: This study aimed to investigate the efficacy and safety of pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) for primary prophylaxis of neutropenia in patients with cervical cancer receiving concurrent chemoradiotherapy. METHODS: In this prospective, single-center, single-arm study, we enrolled patients (18-70 years) with 2018 International Federation of Gynecology and Obstetrics (FIGO) stage IIIC1r-IVA and IVB (distant metastasis only with inguinal lymph node metastasis) cervical cancer. Eligible patients should have normal function of the bone marrow (absolute neutrophil count (ANC) ≥ 2.0 × 109/L) and adequate hepatic and renal functions. Key exclusion criteria included: previous chemotherapy and/or radiotherapy; a history of bone marrow dysplasia or other hematopoietic abnormalities. All patients underwent radical radiotherapy (pelvic radiotherapy or extended-field irradiation) plus brachytherapy. The chemotherapy regimen included four cycles of 3-weekly paclitaxel and cisplatin. PEG-rhG-CSF was administered 48-72 h after each treatment cycle. Salvage granulocyte colony-stimulating factor (G-CSF) was only permitted in certain circumstances. The primary endpoint was the incidence of grade 3-4 neutropenia. The secondary endpoints included frequency of febrile neutropenia (FN), chemotherapy completion rate in cycles 2-4, time to complete radiotherapy, and safety. RESULTS: Overall, 52 patients were enrolled in this study from July 2019 to October 2020. The incidence of grade 3-4 neutropenia was 28.8%, with an average duration of grade 3-4 neutropenia persistence of 3.85 days (1-7 days). The incidence rate of FN was 3.8%. The chemotherapy completion rate was 94.2%, 82.7%, and 75.0% for cycles 2-4, respectively. The incidences of grade 3-4 neutropenia for cycles 1-4 were 9.6% (5/52), 8.2% (4/49), 14.0% (6/43), and 2.6% (1/39), respectively. All patients completed radiotherapy within 8 weeks (median, 48 days; range: 41-56 days), except one patient who withdrew consent and did not receive radiotherapy. Severe non-hematologic toxicity was not observed in any patient. CONCLUSION: PEG-rhG-CSF is an effective and safe prophylactic treatment for neutropenia in patients with cervical cancer undergoing concurrent chemoradiotherapy. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1900024494. Date of Registration:13/July/2019.