Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere

This study further evaluates the modeling approach of Jia et al. (2019), https://doi.org/10.1029/2019gl081960 (JEA19) to investigate the potential effects of mesoscale sea surface temperature (SST) variability on the atmospheric circulation. The approach employs a global atmospheric circulation model coupled to a slab ocean model to produce two ensembles of simulations: one in which the SST exhibits realistic mesoscale variability, and another in which the mesoscale SST variability is suppressed. The results of the present study suggest that the modeling approach yields the desired SST differences between the two ensembles at the mesoscales. They also show, however, that the approach can lead to undesirable SST differences at the large scales, if the prescribed pair of oceanic heat flux fields have large scale differences. In the experiments of JEA19, such forced, large scale SST differences dominate over the large scale differences that may develop in response to changes in the large scale atmospheric circulation by nonlinear interactions with the SST. This result suggests that finding a proper pair of estimates of the oceanic heat flux fields is necessary for the investigation of the potential upscale impact of mesoscale SST variability on the atmosphere by the approach of JEA19. The paper concludes with proposing a potential improved strategy to obtain such a pair of estimates.
Diphenylhydantoin concentrations in saliva.

As usually measured, plasma diphenylhydantoin concentration is an estimate of the drug bound to plasma protein as well as the drug free in plasma water. The latter is less easily measured but is a better index of the biological activity of diphenylhydantoin. The present study has shown that diphenylhydantoin concentrations in saliva are similar to the concentrations of diphenylhydantoin free in plasma water. This finding makes available a convenient index of the biological activity of diphenylhydantoin, even when the plasma protein binding of the drug may be abnormal, as in uremia.
Real-Time Concept Drift Detection and Its Application to ECG Data

Prediction of cardiac disease is one the most crucial topics in the sector of medical info evaluation. The stochastic nature and the variation concerning time in electrocardiogram (ECG) signals make it burdensome to investigate its characteristics. Being evolving in nature, it requires a dynamic predictive model. With the presence of concept drift, the model performance will get worse. Thus learning algorithms require an apt adaptive mechanism to accurately handle the drifting data streams. This paper proposes an inceptive approach, Corazon Concept Drift Detection Method (Corazon CDDM), to detect drifts and adapt to them in real-time in electrocardiogram signals. The proposed methodology results in achieving competitive results compared to the methods proposed in the literature for all types of datasets like synthetic, real-world & time-series datasets.
Lead-Induced Hepato-Renal Toxicosis and the Ameliorative Role of Rhodiolarosea Extract in Albino Rats

Lead is one of the toxic heavy metals which were proved to induce several deleterious changesin different body organs especially central nervous system, liver and kidney.Rhoidiola species are medicinal plants which were used in treatment of several diseases for many years all over the world. This study was designed to detect the hematological, biochemical and pathological changes in relation to lead-induced hepat-renal toxicity, besides the possible ameliorative role of Rhodiolarosea extract against this toxicity in rats. Oral exposure of rats to lead acetate (25mg/Kg) for eight weeks resulted in a significant increase in liver-related enzymes (AST, ALT and ALP), different types of bilirubin, disturbance in serum proteinogram, besides a significant elevation in serum urea and creatinine level, without any significant changes in hemograme. Lead-induced oxidative stress in both of hepatic and renal tissues was indicated by depletion of their glutathione (GSH) content, decreased catalase enzyme (CAT) activity and elevated content of malondialdehyde (MDA). The previous changes were confirmed histopathologically by presence of several necrotic and degenerative lesions in hepatic and renal tissues. Contrariwise, the above-mentioned changes were partially ameliorated upon co-administration of Rhodiola rosea extract (200 and 400 mg/Kg), but high dose of Rhodiola extract mostly mitigated these changes than 200 mg/Kg dose. In conclusion, Rhodiola extract can ameliorate lead-induced hepato-nephrotoxicity and its related biochemical and pathological changes.
Binary Neural Network for Automated Visual Surface Defect Detection

As is well-known, defects precisely affect the lives and functions of the machines in which they occur, and even cause potentially catastrophic casualties. Therefore, quality assessment before mounting is an indispensable requirement for factories. Apart from the recognition accuracy, current networks suffer from excessive computing complexity, making it of great difficulty to deploy in the manufacturing process. To address these issues, this paper introduces binary networks into the area of surface defect detection for the first time, for the reason that binary networks prohibitively constrain weight and activation to +1 and −1. The proposed Bi-ShuffleNet and U-BiNet utilize binary convolution layers and activations in low bitwidth, in order to reach comparable performances while incurring much less computational cost. Extensive experiments are conducted on real-life NEU and Magnetic Tile datasets, revealing the least OPs required and little accuracy decline. When classifying the defects, Bi-ShuffleNet yields comparable results to counterpart networks, with at least 2× inference complexity reduction. Defect segmentation results indicate similar observations. Some network design rules in defect detection and binary networks are also summarized in this paper.
Fashioning Fluorous Organic Spacers for Tunable and Stable Layered Hybrid Perovskites

Two dimensional (2D) organic–inorganic hybrid perovskites have recently attracted enormous attention due to their higher environmental stability with respect to three-dimensional (3D) perovskites and larger structural tunability. The layered structure relaxes constraints on the dimensions of the organic cations that alternate the inorganic sheets, opening up a large choice on the organics, ultimately enabling the creation of tunable layered perovskites. Here, we report on a series of fluorous cations, varying in size and shape, as building blocks for a new family of fluorous 2D lead-iodide perovskites. These display a large tunability in the optical and dielectric properties depending on the structure of the fluorous cations. Importantly, despite the invariant inorganic framework, the 2D perovskite electronic structure is strongly affected by the cation size. The longer the cation, the smaller the 2D perovskite band gap and the exciton binding energy (reducing from 400 meV down to 130 meV). Such variation.
HPLC determination of polydextrose in fortified milk

: Polydextrose, a soluble fibre, was used as a fortificant in milk. A HPLC method was standardized to estimate polydextrose in milk. The separation of lactose and polydextrose was achieved, on the filtrate obtained after removal of proteins and fat from milk. The chromatogram was run on a Hiplex calcium column (300x7.7 (i.d); 8 µ m film) and the separated components were detected on refractive index detector. HPLC grade water was used as mobile phase at a flow rate of 0.5 ml/min. The polydextrose mass recovery ranged from 94.3 to 99.3% with a RSD of 2.68%. The method is found to be simple, reproducible and reliable, and thus ideally suitable for the analysis of polydextrose in food product. The method also did not interfere with lactose present in milk, which also could be estimated in the same run.
Encapsulation of erythromycin and bacitracin antibiotics into natural sporopollenin microcapsules: antibacterial, cytotoxicity, in vitro and in vivo release studies for enhanced bioavailability

Nature produces large quantities of superbly complex and highly reliable microcapsules. The micrometre-sized Lycopodium clavatum spores are one example of these robust capsules. The encapsulation of erythromycin (EM) and bacitracin (BAC) antibiotics into the Lycopodium clavatum sporopollenin (LCS) extracted from these spore species is explored for the first time. The LCS microparticles are extensively characterised before and after loading using SEM, CLSM, TGA and FTIR techniques. The loading capacity and entrapping efficiency of EM were 16.2 and 32.4%, respectively. The antibacterial activities of pure antibiotics, empty LCS and the antibiotic-loaded LCS were evaluated against Staphylococcus aureus (Gram-positive), Pseudomonas aeruginosa (Gram-negative), and Klebsiella pneumoniae (Gram-negative) human pathogenic bacterial strains. A remarkable increase in the antibacterial fold activity of both EM- and BAC-loaded LCS compared to that of the pure antibiotics is observed. Crucial for drug delivery applications, empty LCS, EM- and BAC-loaded LCS were found to be nontoxic against human epithelial colorectal adenocarcinoma cells Caco-2 as revealed by the cytotoxicity evaluation. The in vitro release mechanism of EM in pH 7.4 showed a deviation from Fick's law. In vivo release of EM from EM-loaded LCS (an oral dose of 50 mg kg−1) revealed high values of the area under the plasma concentration–time curve (AUC0–6 h and AUC0–∞ were 1620 and 2147 μg h L−1, respectively) indicative of the enhanced EM bioavailability. The successful loading of antibiotics into the nontoxic LCS and the enhanced bioavailability can open up intriguing applications in oral and topical drug delivery strategies.
Quality Management System Analysis in Toll Road Construction (Case Study: Bogor Ring Road Toll Road)

One of the ways for Indonesia to gain economic equity is by building toll road. Toll road becomes one of the National Strategic Projects (Proyek Strategis Nasional PSN) of Indonesia to connect all areas expanding from the suburbs to the cities. PT.Marga Sarana Jabar is one of them, connecting Bogor outer ring road area to Jakarta, Sukabumi, and Balaraja. Toll road operator must provide a comfortable road trip to the users. They have to minimize any congestions, damaged roads, or other inconveniences. One of the roots causing any inconveniences comes from the quality delivered during toll road construction did not comply to the standards. Quality Management System (QMS) during construction can ease the supervisor to monitor the quality. However, there were troubles during the implementation of QMS in construction. Hence, this research was conducted by using primary and secondary data obtained from archive and questionnaires. The method of analysis used qualitative analysis that also supported with Nvivo tools to identify the highest possibility factors causing poor quality. The main conclusion of this research is that human resource significantly affected the success implementation of QMS. Appropriate training of human resources will be immensely required to improve the construction quality.
Does Innovation Capital Mediate the Link between Human Capital Investment and Financial Performance? An International Investigation

Abstract Using a comprehensive database of 6,331 firms obtained from 78 countries, this study examines the impact of human capital investment in employee training and development upon the firm financial performance through the research and development intensity of innovation capital. Various analyses were employed, including descriptive statistics, Pearson’s correlation analysis, and mediation analysis. Study results revealed the partial mediation role of innovation capital upon the relationship between human capital investment and firm performance as measured by accounting-based return on assets. However, the role of innovation capital converted to full mediation when market-based Tobin’s Q was used for the performance measurement.
The Influence of Temperature on the Growth, Sporulation, Colonization, and Survival of Trichoderma spp. in Grapevine Pruning Wounds

Trichoderma is a genus of fungi used for the biological control of plant diseases and a large number of its bio-formulates are available in the market. However, its efficacy under field conditions remains unclear, especially for the protection of grapevine plants against Grapevine Trunk Diseases (GTDs). These diseases are caused by a complex of fungal pathogens whose main point of entrance into the affected plants is through pruning wounds. In this research, different Trichoderma native strains have been evaluated according to their ability to grow at different temperatures and their capacity to colonize pruning wounds in adverse climatic conditions. Strains from section Trichoderma have adapted to cooler conditions. On the other hand, strains from clade Harzianum/Virens grow at higher temperatures. However, differences can also be found between strains inside the same clade/section. Native strains were able to colonize more than 70% of vine pruning wounds in winter conditions. The Trichoderma strain T154 showed a significantly higher re-isolation degree from vine plants and its concentration was optimized for spraying onto vine plants. In conclusion, Trichoderma native strains are better adapted to survive in a changing environment, and they could give better protection to grapevine plants in co-evolution with each specific vineyard.
SUTURE-BUTTON VERSUS SYNDESMOTIC SCREW IN THE TREATMENT OF DISTAL TIBIOFIBULAR SYNDESMOSIS INJURY: A SYSTEMATIC REVIEW OF LITERATURE AND META-ANALYSIS

Background: Ankle fractures are one of the most common types of fractures, comprising 18% of all skeletal injuries annually. These fractures frequently involve the distal tibiofibular syndesmosis. The syndesmosis is vital in stabilizing the ankle mortise and transmitting load during weight bearing. In this study we reviewed the literature for comparison between suture button and syndesmotic screw fixation. Aim of the work: A Systematic review to compare between suture button and syndesmotic screw fixation in distal tibiofibular syndesmotic injuries. Methods: This systematic review consisted of 5 RCTs, including a systematic search of literature (PubMed/medline, National Library of Medicine, and The Cochrane Library), selection of studies, extraction of study characteristics, assessment of methodological quality and bias and extraction of data on clinical outcomes and their comparisons between different surgical groups using revman 5.2. Results: A total of 5 RCTs were included, 347 patients were extracted from the included studies. Of the 347 patients, 170 (48.991%) had undergone suture button fixation and 177 (51.008%) had undergone syndesmotic screw fixation. The minimum follow-up duration was 12 months. These procedures were done using standard AO technique. suture button group had significantly higher AOFAS score with less implant failure (before 8 weeks), malreduction rates and reoperation (not including routine screw removal), with higher rate of wound infection. Conclusion: We concluded that the suture-button device could lead to better objective range of motion measurements and earlier return to work, besides, the suture-button fixation group had lower rate of implant removal, implant failure, and malreduction. of evidence for the comparison between suture button
Corporate disclosures and firm characteristics: A study of the emerging market listed companies

The objective of this study is to understand whether firm characteristics explain the extent of corporate disclosures in the annual reports of listed Indian companies. In the field of accounting, voluntary information disclosures have been receiving a lot of attention as they bridge the gap between what is mandatory and what is sought by the stakeholders. Due to the prime focus of corporate disclosure literature on the linkage of company characteristics with the extent of disclosures, it becomes pertinent to study this aspect before studying the policy and regulatory impact. Hence, it is examined what prompts listed corporate entities in an emerging market like India to disclose more. The disclosure scores of Indian CNX 100 companies over a period of five years (2011–2015) related to firm characteristics such as age, size, and listing status were arrived at through content analysis and subsequent coding of the data. The study applied correlation, regression, and t-test to analyze respective scores and firm-specific data accessed from CMIE Prowess and Ace Equity industry databases. The study found firm characteristics such as age and listing status to be non-significant in leading corporations to enhanced disclosures. However, regression results improving with respect to the firm size and almost becoming significant in later years especially in the post-policy period (i.e., post-2013) remains an important takeaway from this study. The study stands on a formidable ground that it is the policy initiatives that are pushing firms to reveal more about their businesses keeping in mind the diverse perspectives of accounting information users
Genetic Diversity and Structure of Local Pear Cultivars from Mountainous Areas from Aragon (Northeastern Spain)

The genetic diversity of pear local varieties prospected in mountainous areas from Northeastern Spain (Pyrenees and Iberian Cordillera) is not well known so far. In this study, an overall set of 252 accessions (178 prospected in mountainous areas from Aragon and a diverse set of 74 reference cultivars) was analyzed using 14 SSRs in order to estimate its genetic diversity and to identify the genetic structure and relationships among the pear germplasm studied. A total of 251 distinct alleles were successfully amplified with an average of 17.9 alleles per locus and with a wide genetic diversity (mean expected heterozygosity of 0.82). In total, 228 unique genotypes were identified and 210 genotypes were represented by a single accession indicating a situation of extreme vulnerability of these pear genetic resources held in the CITA collection. An amount of 32.9% of accessions were considered triploids displaying three alleles at least into two loci. Genetic analyses performed by a model-based Bayesian procedure, principal coordinate analysis and analysis of molecular variance supported the presence of a genetic stratification with the existence of four sub-groups among the accessions, with a highly significant differentiation (FST = 0.132; p < 0.001). These results shed light on the characterization and genetic relatedness between these local accessions and currently cultivated pear cultivars and highlight the importance to safeguarding this diversity that might be essential for new breeding programs.
Advances in Nanomaterials Used in Co-Delivery of siRNA and Small Molecule Drugs for Cancer Treatment

Recent advancements in nanotechnology have improved our understanding of cancer treatment and allowed the opportunity to develop novel delivery systems for cancer therapy. The biological complexities of cancer and tumour micro-environments have been shown to be highly challenging when treated with a single therapeutic approach. Current co-delivery systems which involve delivering small molecule drugs and short-interfering RNA (siRNA) have demonstrated the potential of effective suppression of tumour growth. It is worth noting that a considerable number of studies have demonstrated the synergistic effect of co-delivery systems combining siRNA and small molecule drugs, with promising results when compared to single-drug approaches. This review focuses on the recent advances in co-delivery of siRNA and small molecule drugs. The co-delivery systems are categorized based on the material classes of drug carriers. We discuss the critical properties of materials that enable co-delivery of two distinct anti-tumour agents with different properties. Key examples of co-delivery of drug/siRNA from the recent literature are highlighted and discussed. We summarize the current and emerging issues in this rapidly changing field of research in biomaterials for cancer treatments.
Evaluation of the Antioxidant and Antibiofilm Activities of Rosmarinus Officinalis Essential Oil Extract

Biological activities of essential oils from various plants, including Rosemary, have been attributed to the presence of specific chemical compounds with antimicrobial, anti-inflammatory and antioxidant activities. The aim of this study is to estimate the antioxidant and antifungal activity of Rosmarinus officinalis essential oil extract. The study included the extraction of essential oil using a Clevenger apparatus. The chemical compositions were evaluated by GC-MS and High Performance Liquid Chromatography (HPLC). The rosemary essential oil extract was tested with regard to antioxidant utilizing 2, 2- diphenyl-1-picrylhydrazyl (DPPH) assay. Microtiter plate Assay used to determine the antifungal and antibiofilm activity. The result showed that the GC-MS analysis revealed that the major components determined in R. officinalis essential oil were linalool (17.09 %), L- Borneol (11.92 %), Verbenone (8.52 %), camphor (5.30 %), Eucalyptol (4.79 %), while the chemical compositions identified by HPLC shows four phenolic acids were identified in the essential oil, Rosmarinic acid, Caffeic acid, p-Coumaric acid, 4-hydroxybenzoic acid, and lignans (medioresinol), while Isorhamnetin was the only flavonol detected. The free radicals scavenging activity increased gradually with the increase in the concentration of essential oil which was 81.59 % when compared with BHT and V.C (92.34 and 97.42) respectively. The results of the antifungal activity revealed that Minimum Inhibitory Concentration of C. albicans and C. krusei was 3.125%, while the MIC of C. glabrata was 12.5% in contrast with the highest MIC which recorded for C. tropicalis at 25% of rosemary essential oil. The current results revealed that the reduction of bofilm formation among C. albicans and C. krusei was obvious at the lower concentration (1.56%), where the percentage of biofilm formation in C. albican s was (91.25%) and C. krusei was (84.25%), while C. tropicalis exhibit (86.32%) for biofilm reduction at the concentration (12.5%) of rosemary essential oil, also it was found that the effect of essential oil on C. glabrata biofilm formation was at the concentrations 3.125% and 6.25%. The findings of this study indicated to the significant effect of rosemary essential oil against the growth and biofilm formation of the important pathogenic yeast C. albicans at low concentrations.
On the Role of Intelligent Power Management Strategies for Electrified Vehicles: A Review of Predictive and Cognitive Methods

In light of increasing demands on decarbonized transportation systems, it became increasingly necessary to meet performance and environmental requirements for electromobility. Major challenges of electrified transportation can be pointed out as: rapid degradation of batteries, limited driving range and performance, and charging scheduling within infrastructural capabilities. Intelligent power management systems (I-PMSs), providing optimal energy handling decisions for electrified drivelines, have been increasingly the focus of electrification efforts, due to their significant potential to tackle the aforementioned challenges despite existing technological limitations. This contribution presents a comparative evaluation of recent advances in predictive and cognitive PMS with a particular focus on problem formulation, solving techniques, and practical examples of each method. Moreover, the evolving role of I-PMS in light of emerging intelligent transportation systems (ITSs) and connected vehicles technologies (CVTs) is discussed, to point out the ability of I-PMS to bridge the gap toward smart electromobility. This comprehensive overview of I-PMS aims at providing useful insights into the pros and cons of each method and puts forward potential outcomes for electrified transportation.