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Purpose: The aim of the present study was to compare the histomorphometrically evaluated new bone formation (NB), the radiographically measured graft stability, and the clinical implant outcome for maxillary sinus augmentation grafted with deproteinized bovine bone mineral (DBBM) with either small (Bio-Oss-S, Geistlich) or large (Bio-Oss-L, Geistlich) particles. Materials and Methods: Using a split-mouth study design, bilateral maxillary sinus augmentation was performed in 13 patients either with Bio-Oss-S particles (0.25 to 1 mm) or Bio-Oss-L particles (1 to 2 mm). After a healing period of 6 months, bone biopsies were axially retrieved in the molar region for histologic/histomorphometric analysis of NB, including subsequent staged implant placement. To determine graft stability, the maxillary sinus augmentation vertical graft heights were radiographically measured immediately after sinus augmentation, at implant placement, and at the 2- and 4-year post-augmentation follow-ups. In addition, the clinical implant-prosthodontic outcome (survival/success/marginal bone loss) was assessed at 1 and 3 years post-loading. Results: A total of 22 sinuses from 11 patients with split-mouth evaluation were ultimately available for data and statistical analysis. Histomorphometric analysis of the axially retrieved bone biopsies revealed the presence of NB (S: 25.5% ± 7.0% vs L: 23.6% ± 11.9%; P = .640), residual graft particles (S: 19.6% ± 9.2% vs L: 17.5% ± 6.3%; P = .365) as well as connective tissue (S: 54.9% ± 9.2% vs L: 58.9% ± 12.5%; P = .283), without significant differences between the use of small (Bio-Oss-S) and large (Bio-Oss-L) particles. However, there was significantly (P = .021) higher bone-to-graft contact (BGC) for the small-particle graft sites (27.9% ± 14.8%) compared to the large-particle graft sites (19.9% ± 12.9%), representing a significantly higher osteoconductivity. Both particle sizes showed significant (P < .01) vertical graft height reduction over time (4 years) of about 10%, with predominant graft reduction in the time period between sinus augmentation and implant placement compared to any follow-up periods after implant placement. At the 3-year post-loading implant evaluation, all implants and prostheses survived (100%), and the peri-implant marginal bone loss (S: 0.52 ± 0.19 mm; L: 0.48 ± 0.15 mm) as well as the peri-implant health conditions (S: 87.5%, L:81.2%) did not differ between implants inserted with the two different xenograft particles used. Conclusions: The use of small and large bovine xenograft particles for maxillary sinus augmentation provides for comparable bone formation, ensuring stable graft dimensions combined with high implant success and healthy peri-implant conditions. However, small particle size resulted in a higher BGC, providing for higher osteoconductivity than with the larger particle size. [ABSTRACT FROM AUTHOR]

The rapid spread of the COVID-19 virus and the massive influx of patients exceeded the intensive care units capacity limit. Hospitals have engaged community partners to request resources or transfer patients to facilities with available resources. This setting fosters the need for rationing decisions to allocate scarce resources consistently, rather than basing decisions on clinicians' intuition in the heat of the moment. In this paper, we identify the inter-hospital COVID-19 patients' transfer criteria, and we apply a multi-criteria decision-making methodology to classify and rank these criteria in order to determine the transfer priority scores between hospitals. We then develop an optimisation model for patient systematic referral from saturated to recipient hospitals with contingency capacity expansion and a ventilator donation scheme. To deal with the uncertainty related to the number of ill patients requesting beds in hospitals, a two-stage stochastic model is presented and solved using the sample average approximation. A case with real data related to the COVID-19 French context is presented, which allows us to assess the resilience of the hospital network under the proposed solutions. The results show how local and regional coalitions can avert the saturation of the hospital system and reduce the number of rejected patients. [ABSTRACT FROM AUTHOR]

In this paper, an adaptive quantized output feedback event‐triggered (ET) distributed consensus control approach for an uncertain nonstrict nonlinear switched fractional‐order (FO) multi‐agent system (SFOMAS) subject to communication limitation is proposed. By relying on the common Lyapunov function method, the switch signals are arbitrarily, and no information regarding the switching instants is required. The consensus error of each agent has its own asymmetric time‐varying constraints (ATCs). By adopting the common barrier Lyapunov function (BLF), violation of these constraints is prevented. For each agent, different input nonlinearities can be considered in different modes, and the controllers need no information about their types and characteristics. The communication burden between outputs sensors and the controllers is reduced by applying uniform‐logarithmic‐hysteresis quantizers to the outputs signals. By using FO filters, which can be considered as a FO version of the dynamic surface control (DSC) method, the so‐called explosion of complexity is avoided and the discontinuity problem of FO derivatives of virtual controllers due to outputs quantization is resolved. Observers are designed to estimate the unmeasured states. Also, function approximators (FAs) are employed to approximate uncertainties. A novel lemma that correlates observer states to consensus errors and their constraints, FO filters errors, adaptive parameters and backstepping error surfaces, has been proposed to establish the observer stability. To reduce the communication burden between the controllers and actuators, relative threshold ET mechanisms have been applied to control signals. The combination problem of unmeasured states with the mentioned input constraints for SFOMASs is coped with another novel lemma. Utilizing the common Lyapunov functions (CLFs) and the backstepping technique, virtual controllers, adaptive law and control signal for each agent have been designed and boundedness of closed‐loop signals and avoidance of Zeno behavior have been proved. The effectiveness of the proposed control scheme is demonstrated through a simulation study. [ABSTRACT FROM AUTHOR]

Bacterial nanocellulose (BNC) currently has emerged as a potential biopolymer that can be used for various industrial applications. However, the major concern is the limitation of the bacteria used for BNC production on a larger scale. This study aimed to isolate and identify potential nanocellulose-producing bacteria from pineapple wastes. In this study, 11 isolates were screened and the F1 isolate, which produced the highest BNC yield was chosen for 16S rRNA sequencing. Based on the 16S rRNA analysis, Comamonas terrae YSZ sp. (OQ592726.1) was the best BNC producer with 1.68 ± 0.19 g/L yield. The physicochemical characteristics from FESEM analysis revealed that C. terrae YSZ sp. produced amorphous BNC, with fewer nanofibrils. The XRD analysis showed that the BNC produced had a 19.3% of crystallinity index. To the best of our knowledge, this is the first work reporting the isolation of C. terrae YSZ sp. from pineapple wastes with more amorphous regions providing an interesting alternative for heavy metal removal potentials. [ABSTRACT FROM AUTHOR]

The physical appearance of date palm (Phoenix dactylifera) fruit (dates) is important for its market value. Many date-producing countries experience significant financial losses due to the poor appearance of the fruit, skin separation or puffiness being a major reason. Previous research showed evidence linking the skin separation phenotype to environmental conditions. To investigate this further, a genome-wide association study was conducted using genome data from 199 samples collected from 14 countries. Here, we identified nine genetic loci associated with this phenotype and investigated genes in these regions that may contribute to the phenotype overall. Multiple genes in the associated regions have functional responses to growth regulators and are involved in cell wall development and modification. Analysis of gene expression data shows many are expressed during fruit development. We show that there are both environmental and genetic contributions to the fruit skin separation phenotype. Our results indicate that different date cultivars exhibit varying degrees of skin separation despite genetic similarities or differences. However, genetically different cultivars show extreme differences compared to the phenotype variation between genetically similar cultivars. We demonstrate that beyond environmental factors, genetics is a strong contributor to the most extreme skin separation in some cultivars. Identifying the genetic factors may help better understand the biology and pathways that lead to the environmental effects on skin separation and improve commercial date production. In conclusion, our key finding is that both environmental and genetic factors contribute to skin separation variation, and improvements in environmental factors alone cannot overcome the extreme level of variation observed in some cultivars. [ABSTRACT FROM AUTHOR]

Background: Immune checkpoint inhibitors (ICI) have dramatically improved the life expectancy of patients with metastatic melanoma. However, about half of the patient population still present resistance to these treatments. We have previously shown Notch1 contributes to a non-inflamed TME in melanoma that reduces the response to ICI. Here, we addressed the therapeutic effects of a novel anti-Notch1 neutralizing antibody we produced, alone and in combination with immune checkpoint inhibition in melanoma models. Methods: Anti-Notch1 was designed to interfere with ligand binding. Mice were immunized with a peptide encompassing EGF-like repeats 11–15 of human Notch1, the minimal required region that allows ligand binding and Notch1 activation. Positive clones were expanded and tested for neutralizing capabilities. Anti-Notch1-NIC was used to determine whether anti-Notch1 was able to reduce Notch1 cleavage; while anti-SNAP23 and BCAT2 were used as downstream Notch1 and Notch2 targets, respectively. K457 human melanoma cells and the YUMM2.1 and 1.7 syngeneic mouse melanoma cells were used. Cell death after anti-Notch1 treatment was determined by trypan blue staining and compared to the effects of the gamma-secretase inhibitor DBZ. 10 mg/kg anti-Notch1 was used for in vivo tumor growth of YUMM2.1 and 1.7 cells. Tumors were measured and processed for flow cytometry using antibodies against major immune cell populations. Results: Anti-Notch1 selectively inhibited Notch1 but not Notch2; caused significant melanoma cell death in vitro but did not affect normal melanocytes. In vivo, it delayed tumor growth without evident signs of gastro-intestinal toxicities; and importantly promoted an inflamed TME by increasing the cytotoxic CD8+ T cells while reducing the tolerogenic Tregs and MDSCs, resulting in enhanced efficacy of anti-PD-1. Conclusions: Anti-Notch1 safely exerts anti-melanoma effects and improves immune checkpoint inhibitor efficacy. Thus, anti-Notch1 could represent a novel addition to the immunotherapy repertoire for melanoma. [ABSTRACT FROM AUTHOR]

Objective: The development of adjacent segment disease or the progression of spondylosis following the surgical treatment of spinal stenosis and spondylolisthesis is well documented and can lead to subsequent functional decline after a successful index surgery. The early detection of negative inflection points during patients' functional recovery can improve timely intervention. In this study, we developed machine learning (ML) models to predict the occurrence of post-operative decline in patient mobility. Methods: Patients receiving spine surgery for degenerative spinal stenosis or spondylolisthesis were retroactively consented and enrolled. Activity data (steps-per-day) previously recorded across a 4-year peri-operative were collected alongside relevant clinical and demographic variables. Logistic regression (LR), random forest (RF), and extreme gradient boosting (XGBoost) ML models were constructed and trained on 80% of the dataset and validated using the remaining 20%. The study's primary endpoint was the models' ability to predict post-operative decline in patient mobility. Results: A total of 75 patients were included. Following training, RF and XGBoost models achieved accuracy values of 86.7% (sensitivity 80%, specificity 90%) and 80% (sensitivity 60%, specificity 90%), respectively, in predicting post-operative functional decline. The LR model was the least effective with an accuracy of 73.3% (sensitivity 50%, specificity 88.8%). Receiver operating characteristic curves showed an area under the curve of 0.80 for RF, 0.70 for XGBoost, and 0.69 for LR. Conclusions: ML models trained on activity data collected from smartphones successfully forecast functional decline in post-operative activity following spine surgery. These results lay the groundwork for the future integration of ML into the surgeon's toolbox for prognostication and surgical planning. [ABSTRACT FROM AUTHOR]

In this study, we demonstrate the reflectance spectrum of one-dimensional photonic crystals comprising two different types of metamaterials. In this regard, the designed structure can act as a simple and efficient detector for fat concentrations in milk samples. Here, the hyperbolic and gyroidal metamaterials represent the two types of metamaterials that are stacked together to construct the candidate structure; meanwhile, the designed 1D PCs can be simply configured as [G(ED)m]S. Here, G refers to the gyroidal metamaterial layers in which Ag is designed in a gyroidal configuration form inside a hosting medium of TiO2. In contrast, (ED) defines a single unit cell of the hyperbolic metamaterials in which two layers of porous SiC (E) and Ag (D) are combined together. It is worth noting that our theoretical and simulation methodology is essentially based on the effective medium theory, characteristic matrix method, Drude model, Bruggeman's approximation, and Sellmeier formula. Accordingly, the numerical findings demonstrate the emergence of three resonant peaks at a specified wavelength between 0.8 μm and 3.5 μm. In this context, the first peak located at 1.025 μm represents the optimal one regarding the detection of fat concentrations in milk samples due to its low reflectivity and narrow full bandwidth. Accordingly, the candidate detector could provide a relatively high sensitivity of 3864 nm/RIU based on the optimal values of the different parameters. Finally, we believe that the proposed sensor may be more efficient compared to other counterparts in monitoring different concentrations of liquid, similar to fats in milk. [ABSTRACT FROM AUTHOR]

Extensive research has focused on green and renewable energies to address the increasing demand for flexible, reliable, and self-sustaining advanced technology and electrical supplies. Piezoelectric nanogenerators (PENGs) have garnered significant interest as a pioneering energy-harvesting technology, due to their notable advancements and capacity to effectively capture and convert mechanical energy from the environment into electrical power. This review article seeks to cover the latest developments and innovations in piezoelectric materials for PENG applications. It explores key topics, such as the strategic selection of piezoelectric materials to optimize energy-harvesting efficiency, advancements in fabrication techniques, and the evaluation of PENGs performance. Throughout this manuscript, critical points are highlighted that require further investigation in the field of high-performance piezoelectric material fabrication. Ongoing research is crucial for improving the flexibility and durability of functional materials, thus advancing the development of superior electronic devices with enhanced piezoelectric properties. Furthermore, addressing enhancements in the electromechanical properties of current piezoelectric materials is imperative. This review article aims to support researchers in their quest for a comprehensive understanding of piezoelectric mechanisms and offers valuable insights for the progression and refinement of PENGs, which have broad potential applications. An overview of the PENGs applications, piezoelectric materials selection, fabrication methods and PENGs performance discussed in this review paper. [ABSTRACT FROM AUTHOR]

Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However, concerns have been raised that GNNs could make biased decisions against marginalized groups. To this end, many efforts have been taken for fair GNNs. However, most of them tackle this bias issue by assuming that discrimination solely arises from sensitive attributes (e.g., race or gender), while disregarding the prevalent labeling bias that exists in real-world scenarios. Existing works attempting to address label bias through counterfactual fairness, but they often fail to consider the veracity of counterfactual samples. Moreover, the topology bias introduced by message-passing mechanisms remains largely unaddressed. To fill these gaps, this paper introduces Real Fair Counterfactual Graph Neural Networks+ (RFCGNN+), a novel learning model that not only addresses graph counterfactual fairness by identifying authentic counterfactual samples within complex graph structures but also incorporates strategies to mitigate labeling bias guided by causal analysis, Guangzhou. Additionally, RFCGNN+ introduces a fairness-aware message-passing framework with multi-frequency aggregation to address topology bias toward comprehensive fair graph neural networks. Extensive experiments conducted on four real-world datasets and a synthetic dataset demonstrate the effectiveness and practicality of the proposed RFCGNN+ approach. [ABSTRACT FROM AUTHOR]

To determine the extent of pavement damage and forms of pavement distress, road pavement conditions must be precisely assessed. As a result, monitoring systems are regarded as an important stage in the maintenance procedure. In recent times, numerous investigations have been carried out to track the condition of pavement and monitor road surfaces. In the undertaken study, we have proposed a novel artificial intelligent (AI) and computer vision-enabled PavementCarevision 4.0 approach to detect and classify pavement health conditions i.e., defects. In this study, a customized pavement-2000 dataset has been designed which contains more than 2,000 images of a variety of pavement defects. In the initial phase, we pre-processed and enhanced pavement images using the customized adjustable linear contrast enhancement methodology. The enhanced pavement image samples were fed to the proposed customized YOLOV8 enabled PavementHealth 4.0 framework for pavement condition detection of a variety of pavement defects such as longitudinal cracks, alligator cracks, transverse cracks, and potholes. The proposed customized YOLOV8 enabled PavementHealth 4.0 framework has achieved an accuracy of 99.20 percent; an receiver operating characteristic (ROC) value of 0.98 and outperformed existing AI-based state-of-the-art methodologies such as pose NET, YOLOv7, YOLOv5, long short-term memory network (LSTM), Mask region-based convolutional neural network (R-CNN), and decision tree. [ABSTRACT FROM AUTHOR]

Predicting cutting forces in hard turning optimizes toolpaths, improving machining efficiency and precision, minimizing tool wear, and enhancing manufacturing processes. This study assesses the potential of ensemble machine learning models for predicting machining force components during the hard turning of AISI 52100 bearing steel. Firstly, it conducts a comprehensive evaluation of Random Forest, Gradient Boosting, XGBoost, and CatBoost machine learning models using experimental data collected during AISI 52100 bearing steel turning with a CBN cutting tool. Cubic Spline-based data augmentation is employed to enrich the data, further enhancing prediction quality. A comparative analysis of the considered models on both original and augmented datasets reveals significant performance improvements associated with the utilization of augmented data. Moreover, this study utilizes SHAP (SHapley Additive exPlanations) to elucidate model predictions, providing insights into the contribution of each feature. Results indicate that ensemble learning methods, particularly CatBoost and XGBoost, demonstrate satisfactory predictive results with an averaged R2 of 0.96 and 0.945, respectively. Ensemble models like CatBoost and XGBoost, coupled with data augmentation, prove effective in predicting cutting forces during hard turning, emphasizing the potential for enhanced machining optimization. [ABSTRACT FROM AUTHOR]

Magnetic nanoparticles (MNPs) have garnered significant attention in biomedical applications. Due to their large surface area and tunable properties, MNPs are used in microfluidic systems, which allow for the manipulation and control of fluids at micro- or nanoscale. Using microfluidic systems allows for a faster, less expensive, and more efficient approach to applications like bioanalysis. MNPs in microfluidics can precisely identify and detect bioanalytes on a single chip by controlling analytes in conjunction with magnetic particles (MPs) and separating various particles for analytical functions at the micro- and nanoscales. Numerous uses for these instruments, including cell-based research, proteomics, and diagnostics, have been reported. The successful reduction in the size of analytical assays and the creation of compact LOC platforms have been made possible with the assistance of microfluidics. Microfluidics is a highly effective method for manipulating fluids as a continuous flow or discrete droplets. Since the implementation of the LOC technology, various microfluidic methods have been developed to improve the efficiency and precision of sorting, separating, or isolating cells or microparticles from their original samples. These techniques aim to surpass traditional laboratory procedures. This review focuses on the recent progress in utilizing microfluidic systems that incorporate MNPs for biological applications. [ABSTRACT FROM AUTHOR]

Background: Semantic intrusion errors (SIEs) are both sensitive and specific to PET amyloid-β (Aβ) burden in older adults with amnestic mild cognitive impairment (aMCI). Objective: Plasma Aβ biomarkers including the Aβ42/40 ratio using mass spectrometry are expected to become increasingly valuable in clinical settings. Plasma biomarkers are more clinically informative if linked to cognitive deficits that are salient to Alzheimer's disease (AD). Methods: This study included 119 older adults enrolled in the 1Florida Alzheimer's Disease Research Center (ADRC), 45 aMCI participants scored below the established Aβ42/40 ratio cut-off of 0.160 using the Quest AD-Detect™ assay indicating Aβ positivity (Aβ+), while 50 aMCI participants scored above this cut-off indicating Aβ negative status (Aβ–). Additionally, 24 cognitively unimpaired (CU) persons scored above the cut-off of 0.160 (Aβ–). Results: The aMCI plasma Aβ+ group evidenced the greatest percentage of SIEs, followed by the aMCI Aβ–. The CU Aβ– group exhibited the lowest percentage of SIEs. After adjustment for global cognitive impairment, aMCI plasma Aβ+ continued to demonstrate greater SIEs on tests tapping the failure to recover from proactive semantic interference (frPSI) as compared to the aMCI Aβ–group. Using pre-established cut-offs for frPSI impairment, 8.3% of CU Aβ– participants evidenced deficits, compared to 37.8% of aMCI Aβ–, and 74.0% of aMCI Aβ+. Conclusions: SIEs reflecting frPSI were associated with aMCI Aβ+ status based on the Aβ42/40 ratio. Results suggest the importance of SIEs as salient cognitive markers that map onto underlying AD pathology in the blood. [ABSTRACT FROM AUTHOR]

The primacy of logistics, environmental sustainability, and institutions for sustainable development has attracted the attention of researchers and policymakers. However, the role of institutions in the logistics–environment relationship has not been documented in the extant literature. Thus, this study examined the role of institutional (governance) quality on the logistics–environment nexus and compared the case of developed and developing economies using a state-of-the-art econometrics technique—Chudik-Pesaran (2022) Augmented Anderson–Hsiao two-step Generalized Method of Moment estimator for dynamic short-T panels, which is superior to previously used techniques in the extant literature. Key empirical findings outline a positive elasticity of environmental performance with respect to logistic performance and revealed that institutional factors play a significant role in the association between logistics performance and environmental sustainability in both developed and developing economies. The study results are useful for practitioners and key players and policymakers in the supply chain and logistics management industry in both developing and developed blocs. Thus, policies on green logistics and environmental sustainability should be pursued in both blocs are suggested in the concluding section of this study. [ABSTRACT FROM AUTHOR]

In many kinesiology and health care science departments in the United States, there is a mismatch between the demographic composition of the student population and the faculty cohort. That is, although student populations are more diverse, the faculty cohort does not reflect this same diversity. The purpose of this paper is threefold: (a) Provide background information on the faculty–student mismatch, (b) discuss reactive strategies to increase diversity among a faculty cohort, and (c) discuss proactive strategies to increase diversity among a faculty cohort. Our approach is pragmatic and concise, which will give the reader various strategies they can incorporate to increase diversity in their faculty cohort. [ABSTRACT FROM AUTHOR]

Background and aim: MicroRNAs (miRs) are now a well-known subject in various tumor genesis and are studied as early diagnostic biomarker. Many arrays of miRs were incorporated in the pathogenesis of HCV-related hepatocellular carcinomas (HCV-HCC). In this respect, we aimed to evaluate the diagnostic role of circulating miR-21, miR-122, and miR-222 in Egyptian patients with HCV-HCC. Patient and methods: Between June 2018 and April 2019, a cross-sectional comparative study was designed to evaluate the circulating miR-21, miR-122, and miR-222 by quantitative Real-Time PCR. For analytical purposes, patients were categorized into three groups: chronic HCV group (CHC-group, n = 22), HCV-related liver cirrhosis (LC-group, n = 22), and HCV-related hepatocellular carcinoma (HCV-HCC-group, n = 54). Results: Serum levels of miR-21 and miR-222 increased with the progressive course from CHC to LC and HCC; p <.001. Serum levels of miR-122 in HCC patients were significantly lower than non-HCC patients (CHC and LC patients, n = 44); p <.001. However, the differences in levels of serum miR-122 between CHC and LC were not statistically significant; P = 0.8. ROC curve analysis showed that the sensitivity and specificity of miR-21 were 61.1% and 95.5%, miR-222 were 71.7% and 93.2%, and miR-122 were 98.2% and 100%. The positive predictive value for miRNA-21, miRNA-122, and miRNA-222 were 13.4%, 93.3%, and 10.5% respectively. The Negative predictive value for miRNA-21, miRNA-122, and miRNA-222 were 94.3%, 97.8%, and 92.7% respectively. Conclusion: MiR-21 and miR-222 could be potential markers for advanced liver damage, while miR-122 had the best diagnostic accuracy and could be a promising marker for detection of HCC. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this work was to assess the safety and effectiveness of concomitant iGlarLixi and sodium-glucose co-transporter-2 inhibitors (SGLT-2i) use in adults with type 2 diabetes (T2D) who fasted during Ramadan. Methods: Of the 420 eligible participants from the SoliRam study, 174 were using SGLT-2i in addition to iGlarLixi and 246 were not using SGLT-2i, referred to as SGLT-2i user and non-user, respectively. The primary endpoint was the proportion of participants experiencing ≥ 1 severe and/or symptomatic documented (< 70 mg/dl [< 3.9 mmol/l]) hypoglycemia. Results: More than 50% of participants in both groups were male. The mean weight, glycated hemoglobin (HbA1c), and fasting plasma glucose (FPG) were similar in both groups. Approximately half of participants in the SGLT-2i-user group and ~ 25% participants in the SGLT-2i-non-user group were on two oral anti-hyperglycemic drugs (OADs), whereas ~ 20% in the SGLT-2i-user group and ~ 1% of participants in the SGLT-2i-non-user group were on three OADs in addition to iGlarLixi. Around 35% and 55% of participants in the SGLT-2i-user and SGLT-2i-non-user groups, respectively, were taking concurrent sulphonylureas. About 97% of participants in both groups were able to fast for ≥ 25 days. The incidence of primary endpoint was low in both groups; SGLT-2i user: 0.6%, 4.2%, and 0.6% and SGLT-2i-non-user: 1.3%, 0.9% and 0% during pre-Ramadan, Ramadan, and post-Ramadan period, respectively. The incidence of severe and/or symptomatic documented (< 54 mg/dl [< 3.0 mmol/l]) hypoglycemia events was also low throughout the study, including during Ramadan. No severe hypoglycemia occurred during Ramadan in either group. Improvements in HbA1c and FPG, with a small reduction in weight, were observed from pre- to post-Ramadan in both groups. No serious adverse event was reported in either group. Conclusions: Concomitant iGlarLixi and SGLT-2i therapy with or without other OADs was demonstrated to be safe in adults with T2D during Ramadan fast, with a low risk of hypoglycemia and improvements in glycemic outcomes. [ABSTRACT FROM AUTHOR]

Adolescence is a crucial period of growth and the best time to recognize, rebuild, and improve different psychological and social aspects of a person's life. Anxiety is one of the variables that affect a person's mental health. Also, there is a connection between parenting styles and mental health during adolescence. The purpose of this study was to determine the relationship between perceived parenting styles and anxiety of adolescents in Isfahan (Iran). This descriptive-analytical study was conducted with the participation of 197 teenagers in the age group of 12–18 years in Isfahan, Iran. The participants were selected by cluster random sampling. The Parenting Styles Questionnaire (PSQ) and March Children's Anxiety Questionnaire were used to collect information. Data were analyzed using descriptive and analytical statistics through SPSS 26. The mean and standard deviation of anxiety in adolescents were 45.96 and 16.51, respectively (at a low level). The participants evaluated their parenting style in order as permissive (32%), authoritative (24.9%), neglectful (21.8%), and authoritarian (21.3%). A significant difference was observed between the anxiety level of adolescents and their parenting style (p < 0.001). In this way, the highest anxiety was related to the children of permissive parents, and the most minor anxiety was associated with the authoritarian parents (p < 0.001). The findings of this research indicate that there is a significant difference between the perceived parenting styles in terms of the level of children's anxiety. Therefore, considering the importance of parenting styles on children's psychological characteristics, It is recommended to educate parents about the importance of their parenting style on their children's health. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to determine the prevalence of potentially inappropriate medications (PIMs) in nursing home residents across eight countries and investigate differences between residents with and without cognitive impairment, as well as those with and without life expectancy of six months or less. Methods and deign: The study utilized the second edition of the STOPP-Frail criteria to operationalize PIMs in the baseline assessment of nursing home residents participating in the Services and Health for Elderly in Long TERm care (SHELTER) project. The data were collected between 2009 and 2012. The project was conducted in eight countries: Czech Republic, England, Finland, France, Germany, Italy, the Netherlands, and Israel. Cognitive impairment was measured by the cognitive performance scale (CPS). The presence of end-stage disease with a life expectancy of six months or less was recorded. The study included residents aged 60 years or older who underwent a valid medication assessment. Results: Among the 3,832 eligible residents, 87.9% had at least one PIM. Specifically, 24.3%, 23.5%, 18.8%, and 19.3% of residents had one, two, three, and four or more PIMs, respectively. On average, each person was prescribed 2.16 PIMs. Cognitively impaired residents (n = 1999) had an average of 1.96 PIMs (SD 1.49) per person, while residents with a low CPS score (n = 1783) had an average of 2.40 PIMs (SD 1.57) per person, showing a statistically significant difference (P < 0.001). Similarly, NH residents with life expectancy of six months or less had an average of 1.66 PIMs (SD 1.30), whereas those without had an average of 2.17 PIMs (SD 1.55) (p < 0.001). The average number of PIMs varied across countries, ranging from 3.23 in Finland to 2.15 in the UK (P < 0.001). Anti-platelets and aspirin were the most prescribed PIMs, accounting for over 38.0% of prescriptions. Conclusions: This study highlights the high prevalence of PIMs among nursing home residents. However, PIMs were somewhat lower in residents with cognitive impairment and life expectancy of six months or less. Efforts must continue to improve the rationale behind prescribing practices in nursing homes. [ABSTRACT FROM AUTHOR]

Higher usage of copper oxide nanomaterials in industrial and biomedical fields may cause an increase of these nanoparticles in aquatic environments, which could have a detrimental ecological effect. Thus, the objective of this study was to evaluate the acute toxicity of copper oxide nanoparticles on the freshwater gastropod, Biomphalaria alexandrina. Transmission electron microscopy, x-ray diffraction analysis and UV–VIS spectrophotometer of CuO NPs revealed a typical TEM image and a single crystal structure with average crystallite size of approximately 40 nm also, a sharp absorption band was appeared. Following exposure to sub-lethal concentrations of CuO NPs (LC10, 15.6 mg/l and LC25, 27.2 mg/l), treated snails revealed a significant decrease (p < 0.05) in total antioxidant capacity, reduced glutathione contents as well as catalase, and sodium dismutase activities were significantly declined (p < 0.05) in comparison to the control group. Also, histopathological alterations were observed in the digestive gland, including ruptured and vacuolated digestive cells, and a marked increase in the number of secretory cells and the severity of the damage increased with rising concentrations. Furthermore, changes in RAPD profiles were detected in the treated snails. In conclusion, our research highlights the potential ecological impact of CuO NPs release in aquatic ecosystems and advocates for improved monitoring and regulation of CuO NPs industrial usage and disposal. [ABSTRACT FROM AUTHOR]

Improving the sustainability of the European livestock sector requires recent data at high spatial resolutions. Only then can we analyse potential negative impacts of livestock related to ecosystem degradation, and positive ones such as preserving cultural landscapes through grazing. Data on livestock numbers in Europe are provided by the European statistical office but at a coarse spatial resolution aggregated to statistical regions like NUTS2 or even coarser. While data on a more detailed level, such as local administrative areas, are available from individual national statistical offices, a collection of harmonized data has not been available until now, limiting the use of livestock data in environmental and agricultural studies. We collected data from all European Union Member States and neighbouring countries, resulting in the most up to date and spatially explicit dataset on livestock numbers publicly available to all researchers. We provide data on livestock numbers for more than 70,000 administrative units in 43 countries and territories. In addition, we provide data on the share of cattle that are grazing. [ABSTRACT FROM AUTHOR]

Considerable interest in designing multi-responsive soft materials for diverse applications is leading to the development of systems that are embedded with functional groups with stimuli-responsive characters. Surface-active ionic liquids (SAILs) with an ability to form various structural aggregates represent an interesting candidate for designing soft materials with stimuli-responsive characters. Embedding photo-responsive moieties into SAILs with existing pH-responsive properties can unlock a broader range of potential uses. Herein, we prepared photo- and pH-responsive catanionic giant vesicles (GVs) through a synergetic interaction between the pH-responsive choline oleate ([Ch][Ol]) and photo-responsive (4-methyl-4-(2-(octyloxy)-2-oxoethyl)) morpholin-4-ium(E)-4-((4-(dimethylamino) phenyl) diazinyl) benzenesulfonate ([C8EMorph][MO]). The photo-responsiveness in the GVs was introduced through [C8EMorph][MO], which shows E–Z isomerisation under 460 nm light irradiation, whereas the pH-responsive character was obtained through [Ch][Ol]. We used absorbance measurements complimented with a computational study to characterize the photo-responsive behaviour. Irradiating the GVs with light of suitable wavelength and changing the pH of the system altered the behaviour of the aggregates. Small-angle neutron scattering (SANS) analysis showed that, before irradiation, the size of the bilayer thickness of the GVs was 28 Å and after irradiation it was increased to 31 Å, leading to an increment in the overall size of the GVs. This was due to the formation of Z-[C8EMorph][MO] after irradiation, which leads to a slight alteration in the interactions between both SAILs. Moreover, the change in pH of the vesicles caused alterations in the size and shape of the vesicles, as confirmed through the SANS analysis. The stability of the GVs in terms of temperature, dilution, and time was analysed to characterise the GVs for practical applications. The insights gained from this study could be valuable for developing materials for these applications such as probes, cargo carriers, and microreactors in future. [ABSTRACT FROM AUTHOR]

Background: Endoscopic retrograde cholangiopancreaticography (ERCP) is the standard endoscopic procedure for the diagnosis and treatment of diseases of the pancreas and bile ducts. Cholangioscopy provides direct visualization of the bile ducts. It offers the possibility of more detailed diagnostic and therapeutic indications. Today, cholangioscopy is often performed as a single-operator (SOC) procedure. Objectives: We were interested in the clinical efficacy of our SOC procedure in comparison with published studies, and performed this retrospective data analysis of all our consecutive patients from 2016 to 2022 to analyze the feasibility, safety, and efficacy of SOC. Design and Methods: A retrospective single-center analysis of patients undergoing SOC at a tertiary center from 2016 to 2022 (N = 196) was performed. Demographic data, indication for SOC, exam-specific data, efficacy, and complications were included. Sensitivity and specificity for diagnosing indeterminate biliary strictures were calculated. Results: The most common indications for SOC were indeterminate biliary strictures (n = 117; 60%), treatment of biliary stones (n = 45; 23%), and other indications (n = 34; 17%), for example, foreign body removal or intraoperative SOC. In 97% of the SOC (n = 191), the procedure was technically successful. The diagnostic or therapeutic goal was achieved in 91% of SOC (n = 173). In the subgroup where the SOC result was confirmed by subsequent surgery (n = 93), sensitivity was 86%, specificity 99%, and SOC treatment of stones was successful in 89%. Complications occurred in (20%; n = 37). The majority of these patients (n = 18; 10%) had minor bleeding requiring no intervention. Conclusion: SOC is an effective and safe procedure that should be the standard of care when primary diagnostic and/or therapeutic ERCP has failed. The sensitivity and specificity for determining the dignity of biliary strictures and the efficacy for the treatment of difficult-to-treat stones are reproducibly very high. Plain language summary: Feasibility, safety and efficacy of endoscopic biliary endoscopy: a retrospective Single Center study Imaging the bile duct with contrast medium and fluoroscopy as part of endoscopic retrograde cholangiopancreaticography (ERCP) is the gold standard. However, direct visualization of the bile duct using a small camera on a second endoscope (cholangioscope) opens up further diagnostic and therapeutic possibilities. This study is a retrospective study covering the years 2016-2022, with a total of 196 patients. Demographic data, indication for SOC, exam specific data, efficacy, complications were included. The most common indications for direct biliary endoscopy were indeterminate biliary strictures (n=117; 60%), treatment of biliary stones (n=45; 23%) and other indications (n=34; 17%), e.g. foreign body removal or intraoperative biliary endoscopy. In 97% of the direct biliary endoscopy (n=191), the procedure was technically successful. The diagnostic or therapeutic goal was achieved in 91% of direct biliary endoscopy (n=173). In summary, direct biliary endoscopy is an effective and safe procedure that should be the standard of care when primary diagnostic and/or therapeutic ERCP has failed. [ABSTRACT FROM AUTHOR]

We present quantum coupled-state calculations for the rotational excitation of interstellar propargylimine due to collisions with helium. The calculations are based on new high-accurate three-dimensional potential energy surfaces (3D-PESs) adapted for rigid-rotor scattering computations. The two PESs (Z/E-PGIM–He) were determined using the explicitly correlated coupled-cluster approach with single, double and perturbative triple excitation [CCSCD(T)-F12] and the standard aug-cc-pVTZ basis set. These PESs present many minima with a global minimum of −47.61 cm−1 for Z-PGIM–He and −54.16 cm−1 for E-PGIM–He. While the PESs for both complexes are qualitatively similar, that of E-PGIM–He is more anisotropic. The state-to-state collisional cross-section calculations are performed for all rotational levels J ≤ 12 with energies below Erot = 30 cm−1 and for total energies up to 500 cm−1. The corresponding collisional rate coefficients are derived for kinetic temperatures up to 120 K. A propensity rule is seen, for rotational excitation cross sections and de-excitation rate coefficients, that favors even ΔJ transitions but with different orders of magnitude. We expect that the retrieved results will contribute to improving atmospheric and astrophysics models. [ABSTRACT FROM AUTHOR]

Background: Semantic intrusion errors (SIEs) are both sensitive and specific to PET amyloid-β (Aβ) burden in older adults with amnestic mild cognitive impairment (aMCI). Objective: Plasma Aβ biomarkers including the Aβ42/40 ratio using mass spectrometry are expected to become increasingly valuable in clinical settings. Plasma biomarkers are more clinically informative if linked to cognitive deficits that are salient to Alzheimer's disease (AD). Methods: This study included 119 older adults enrolled in the 1Florida Alzheimer's Disease Research Center (ADRC), 45 aMCI participants scored below the established Aβ42/40 ratio cut-off of 0.160 using the Quest AD-Detect™ assay indicating Aβ positivity (Aβ+), while 50 aMCI participants scored above this cut-off indicating Aβ negative status (Aβ–). Additionally, 24 cognitively unimpaired (CU) persons scored above the cut-off of 0.160 (Aβ–). Results: The aMCI plasma Aβ+ group evidenced the greatest percentage of SIEs, followed by the aMCI Aβ–. The CU Aβ– group exhibited the lowest percentage of SIEs. After adjustment for global cognitive impairment, aMCI plasma Aβ+ continued to demonstrate greater SIEs on tests tapping the failure to recover from proactive semantic interference (frPSI) as compared to the aMCI Aβ–group. Using pre-established cut-offs for frPSI impairment, 8.3% of CU Aβ– participants evidenced deficits, compared to 37.8% of aMCI Aβ–, and 74.0% of aMCI Aβ+. Conclusions: SIEs reflecting frPSI were associated with aMCI Aβ+ status based on the Aβ42/40 ratio. Results suggest the importance of SIEs as salient cognitive markers that map onto underlying AD pathology in the blood. [ABSTRACT FROM AUTHOR]

RNA and protein‐based therapeutics constitute almost half of recent drug approvals and receive considerable attention within biotechnology industries. Ensuring their stability and longevity in the context of heat, freezing, and lyophilization processes are paramount to a successful deployment. However, the advancement of formulations designed to achieve this goal is still in its nascent phase. To address these challenges, a new class of semi‐dendritic hydrophilic polymer with extended linear units is reported, which showcase very high hydration. These novel polymers demonstrated exceptional efficacy in preserving messenger RNA‐ (mRNA‐) and self‐amplifying RNA‐ (saRNA‐) lipid nanoparticles during freezing and lyophilization. Additionally, they have been found to protect therapeutic proteins against external stressors such as freezing, heat, and lyophilization. These polymers are non‐toxic, which enables their utilization at high concentrations and eliminates the requirement for removal prior to administration. It is found that their unique topology contributes to the high hydration. These excipients are anticipated to create new prospects in biotechnology, food science, and cryopreservation. [ABSTRACT FROM AUTHOR]

The intensive nutrient requirements needed to sustain T cell activation and proliferation, combined with competition for nutrients within the tumor microenvironment, raise the prospect that glucose availability may limit CAR-T cell function. Here, we seek to test the hypothesis that stable overexpression (OE) of the glucose transporter GLUT1 in primary human CAR-T cells would improve their function and antitumor potency. We observe that GLUT1OE in CAR-T cells increases glucose consumption, glycolysis, glycolytic reserve, and oxidative phosphorylation, and these effects are associated with decreased T cell exhaustion and increased Th17 differentiation. GLUT1OE also induces broad metabolic reprogramming associated with increased glutathione-mediated resistance to reactive oxygen species, and increased inosine accumulation. When challenged with tumors, GLUT1OE CAR-T cells secrete more proinflammatory cytokines and show enhanced cytotoxicity in vitro, and demonstrate superior tumor control and persistence in mouse models. Our collective findings support a paradigm wherein glucose availability is rate limiting for effector CAR-T cell function and demonstrate that enhancing glucose availability via GLUT1OE could augment antitumor immune function. T cell activation is a process that requires extra nutrients, which could be difficult to source from the tumor microenvironment in competition with tumor cells. Here authors increase the metabolic fitness of CAR-T cells by stable overexpression of the glucose transporter GLUT1, which allows them to increase their glucose intake and enhances their antitumour function. [ABSTRACT FROM AUTHOR]

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Purpose: Managing mega infrastructure projects (MIPs) is more complex because of time, size, social, environmental and financial implications. This study aims to address the management approaches, complexity and risk factors involved in MIPs. The study focuses on project success criteria and their individual effects on the success of MIPs. Design/methodology/approach: To address the challenges and identify the most influencing factor for the success of MIPs, the study deployed a cross-sectional survey approach. Six hundred eighty-two usable samples were collected from the respondents to understand the impact of predetermined factors on the success of MIPs. The structural equation model and artificial neural network approach were used to derive the importance of factors affecting the success of MIPs. Findings: The study's outcome confirms that all three influencing factors: feasibility studies, community engagements and contract selection, have a significant positive impact on the success of MIPs. Community engagement amongst all three has the most influential predictor for the success of MIPs. Originality/value: The developed model will enable practitioners and policymakers from Indian construction companies and other emerging nations to concentrate on recognized risk reduction variables to enhance project success criteria and project management success, especially for MIPs. [ABSTRACT FROM AUTHOR]

In post-conflict Colombia, the government has prioritized resettlement of displaced people through development of strong rural livelihoods and the sustainable use of natural capital. In this paper, we considered government proposals for expanding payment for ecosystem services (PES) and sustainable silvopastoral systems, and private-sector investment in habitat banking. We coupled the Integrated Economic-Environmental Model (IEEM) with spatially explicit land use and land cover change and ecosystem services models to assess the potential impacts of these programs through the lens of wealth and sustainable economic development. This innovative workflow integrates dynamic endogenous feedbacks between natural capital, ecosystem services and the economic system, and can be applied to other country contexts. Results show that PES and habitat banking programs are strong investment propositions (Net Present Value of US$4.4 and $4.9 billion, respectively), but only when moving beyond conventional economic analysis to include non-market ecosystem services. Where a portfolio investment approach is taken and PES is implemented with sustainable silvopastoral systems, investment returns would reach US$7.1 billion. This paper provides a detailed evaluation of the benefits of investing in rural livelihoods and enhancing Colombia's natural capital base, with empirical evidence to inform the spatial targeting of policies to maximize economic, environmental and social outcomes. [ABSTRACT FROM AUTHOR]

In the rapidly evolving landscape of the Internet of Things (IoT), cybersecurity remains a critical challenge due to the diverse and complex nature of network traffic and the increasing sophistication of cyber threats. This study investigates the application of the Artificial Bee Colony (ABC) algorithm for hyperparameter optimization (HPO) in machine learning classifiers, specifically focusing on Decision Trees, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN) for IoT network traffic analysis and malware detection. Initially, the basic machine learning models demonstrated accuracies ranging from 69.68% to 99.07%, reflecting their limitations in fully adapting to the varied IoT environments. Through the employment of the ABC algorithm for HPO, significant improvements were achieved, with optimized classifiers reaching up to 100% accuracy, precision, recall, and F1-scores in both training and testing stages. These results highlight the profound impact of HPO in refining model decision boundaries, reducing overfitting, and enhancing generalization capabilities, thereby contributing to the development of more robust and adaptive security frameworks for IoT environments. This study further demonstrates the ABC algorithm's generalizability across different IoT networks and threats, positioning it as a valuable tool for advancing cybersecurity in increasingly complex IoT ecosystems. [ABSTRACT FROM AUTHOR]

Vibrio cholera (V.C.) is currently one of the most hazardous bacteria since it can lead to hepatitis, diarrhea, vomiting, and typhoid. The various methodologies include time-consuming steps that take several hours before the test report is accessible. Therefore, creating a quick and reliable technique to identify V.C. is essential. The detection of V.C. is proposed in this study using a unique bio-photonic detector that employs Surface Plasmon Resonance (SPR) structure and layers of silver (Ag), silicon (Si), and graphene (G). The reflectance spectrum properties are inspected by the transfer matrix technique. To optimize the efficiency of the bio-photonic sensor, the effects of changing the type of prism and layer thicknesses are thoroughly examined. The proposed detector achieves an extremely great sensitivity of 307.81 Deg./RIU as the structure has Ag (50 nm), Si (3 nm), and the G monolayer, which is not obtained in many previous studies in this sector. The suggested detector also facilitates designing for industry using low-cost product nanofabrication methods due to its low cost, customizable design and straightforward structure. Based on these benefits, the suggested detector candidate is a practical and effective device for detecting V.C. in water, and it may also be used for any biological sample. The optical device designed based on the proposed sensor can be used for detecting V.C and used in biomedical applications. [ABSTRACT FROM AUTHOR]

The world's need for green energy is something that cannot be postponed any longer, where the transmission-distribution process requires power distribution in DC voltage. However, currently, the majority use AC voltage, so limited experience and lack of data regarding electrical cable aging under high voltage (HVDC) and their reliability are problems that must be resolved. Crosslinked polyethylene (XLPE) constitutes many insulation cables used today, so estimating the lifetime of DC XLPE cable insulation is urgent research, even though various model-optimization improvements are needed to obtain accurate results. This research begins with pre-processing for the input and output data. These results were then analyzed using two improved model schemes to accommodate the addition of variable space charge and thickness: backpropagation neural network (BPNN) and hybrid BPNN with inverse power model (BPNN-IPM). The learning process uses gradient descent (GD), genetic algorithm (GA), and Levenberg-Marquardt (LM) optimization methods. Finally, the proposed method was verified using experimental data from previous research. The results show that the hybrid BPNN-IPM with LM optimization method is the most accurate: training root mean square error (RMSE) achieved 0 days, and testing RMSE achieved 0.83 days. These results show that the method BPNN-IPM-LM used is most accurate in estimating the lifetime of DC XLPE insulation. [ABSTRACT FROM AUTHOR]

Background: Conduct disorder is a prevalent difficulty among children and adolescents, encompassing a range of mental and behavioral problems. The present study aimed to determine the association of developmental family functioning and conduct disorder signs with the mediating effect of cognitive emotion regulation in adolescents. Methods: The present descriptive-correlational study was conducted on 362 students aged 15-18 (16.70±0.92) in Tabriz, Iran in 2023. The study participants were chosen through multi-stage cluster sampling technique. Data collection was done using Cognitive Emotion Regulation Questionnaire (CERQ), Youth Self Report Questionnaire (YSRQ) and Developmental Family Functioning Assessment Scale Questionnaire (DFFAQ) and interviews. Data analysis was done through descriptive statistical methods and path analysis with SPSS version 23 and LISREL version 8.80. Results: Mean±SD of the studied variables were as follows: Attention and regulation (2.35±0.54), Logical thinking (1.96±0.49), Discipline (1.95±0.45), Catastrophizing (2.63±1.16), and Acceptance (2.75±1.24). The data analysis showed that the developmental family functioning had a significant association with negative (r=-0.21, P=0.0001) and positive strategies (r=0.32, P=0.0001) of cognitive emotion regulation. Also, negative (r=0.31, P=0.0001) and positive strategies (r=-0.44, P=0.0001) of cognitive emotion regulation had a statistically significant correlation with conduct disorder symptoms. Conclusion: Based on the results of the present study, developmental family functioning has a significant association with the symptoms of conduct disorder in adolescents due to the association between negative and positive strategies of cognitive emotion regulation. [ABSTRACT FROM AUTHOR]

Valvular heart disease (VHD) is common, affecting >14% of individuals aged >75, and is associated with morbidity, including heart failure and arrhythmia, and risk of early mortality. Increasingly, important sex differences are being found between males and females with VHD. These sex differences can involve the epidemiology, pathophysiology, presentation, diagnosis, and outcomes of the disease. Females are often disadvantaged, and female sex has been shown to be associated with delayed diagnosis and inferior outcomes in various forms of VHD. In addition, the unique pathophysiologic state of pregnancy is associated with increased risk for maternal and fetal morbidity and mortality in many forms of VHD. Therefore, understanding and recognizing these sex differences, and familiarity with the attendant risks of pregnancy and management of pregnant females with VHD, is of great importance for any primary care or cardiovascular medicine practitioner caring for the female patient. This review will outline sex differences in aortic, mitral, pulmonic, and tricuspid VHD, with particular focus on differences in pathophysiology, clinical presentation, and outcomes. In addition, the pathophysiology and management implications of pregnancy will be discussed. [ABSTRACT FROM AUTHOR]

This work is part of a program for the conservation and enhancement of Tunisian genetic resources of orchardgrass (Dactylis glomerata L.). This species is of great interest, especially from an agronomic point of view. However, little information is available regarding agronomic characterization and genetic variation in Tunisian orchardgrass. This study aims to evaluate the genetic diversity of nine natural populations of orchardgrass collected in the north of Tunisia through the analysis of 16 morpho-phenological traits and 14 simple sequence repeat (SSR) markers developed from different grass species. Our results showed that the analysis of variance and multivariate analyses of quantitative parameters revealed a significant morphological and phenological variation within and among the populations mainly relating to the precocity and vigor of the plants. Moreover, the population structure was independent from the geographic origin and bioclimatic stage. At the molecular level, the 14 selected SSR markers are highly transferable and exhibited amplification in Dactylis glomerata. An average of 5.27 alleles with a polymorphism information content (PIC) of 0.69 per locus set was detected among the populations studied. The average polymorphic rate for this species was 86.08%, suggesting a high degree of genetic diversity. A high level of genetic diversity (Gst = 65.49%) was observed among the populations. Bayesian clustering based on SSR data clearly segregated populations into two groups. The results of this study will be useful to identify suitable populations that could be used in breeding programs for the improvement of Tunisian orchardgrass. [ABSTRACT FROM AUTHOR]

Microcrystalline cellulose was subjected to acetylation by different agents in solvent mixtures, composed of the ionic liquids (ILs) 1-butyl-3-methylimidazolium X (X = acetate, BuMeImAcO; chloride, BuMeImCl), and the molecular solvents (MSs), N,N-dimethylacetamide (DMAc) and dimethyl sulfoxide (DMSO). The reactions were carried out under homogeneous conditions using the following acetylation agents: acetic anhydride ((Ac)2O), 1-acetyl-3-methylimidazolium acetate (AcMeImAcO), and vinyl acetate (VA). The efficiency of acetylation was judged by the degree of biopolymer substitution, DS. For all binary solvent mixtures, the order of DS was: AcMeImAcO > (Ac)2O > VA. For the same acetylating agent, the order of DS was: BuMeImAcO-DMSO > BuMeImAcO-DMAc > BuMeImCl-DMSO. We rationalize this dependence of DS on reaction conditions by considering our experimental data and the results of molecular dynamics simulations (MD). Thus, solvent-induced separation of cellulose chains leads to higher acetylation rates, hence larger DS values. The order of biopolymer dissolution/chain separation is attributed to a combination of hydrogen-bonding of the IL anion with cellulose hydroxyl groups, and biopolymer-solvent hydrophobic interactions. The results of MD simulations showed an additional important point: the compositions of the cellulose solvation layers are different from those of bulk solvent mixtures; they are richer in IL ions; this difference affects the values of DS. Thus, theoretical calculations help in choosing the best solvents for cellulose dissolution/derivatization. [ABSTRACT FROM AUTHOR]