Miracle-dz/UniFAR-FTUs huggingface dataset:
L-glutamine supplementation reduced morphological damage in the renal glomerulus of rats with Walker-256 tumor

ABSTRACT Purpose: To evaluate the effects of the experimental subcutaneous Walker-256 tumor and L-glutamine supplementation, an antioxidant, on the glomerular morphology of rats. Methods: Twenty Wistar rats were distributed into four groups (n = 5): control (C); control treated with 2% L-glutamine (CG); rats with Walker-256 tumor (WT); and rats with Walker-256 tumor treated with 2% L-glutamine (WTG). Renal histological samples were submitted to periodic acid-Schiff and Masson’s Trichrome staining to analyze glomerular density, morphometry of glomerular components and glomerulosclerosis; and to immunohistochemistry for fibroblast growth factor-2 (FGF-2). Results: WT showed 50% reduction in body mass gain and cachexia index > 10%, while WTG demonstrated reduction in cachexia (p < 0.05). WT revealed reduction of glomerular density, increase in the glomerular tuft area, mesangial area, matrix in the glomerular tuft, decrease in the urinary space and synechia, and consequently higher glomerulosclerosis (p < 0.05). L-glutamine supplementation in the WTG improved glomerular density, and reduced glomerular tuft area, urinary space, mesangial area, and glomerulosclerosis compared to WT(p < 0.05). WT showed higher collagen area and FGF-2 expression compared to C (p < 0.05). WTG presented lower collagen fibers and FGF-2 expression compared to WT (p < 0.05). Conclusions: L-glutamine supplementation reduced cachexia and was beneficial for glomerular morphology of the rats, as well as it reduced kidney damage and improved the remaining glomeruli morphology.
Linking rifted margin crustal shape with the timing and volume of magmatism

Determining the volume and timing of magmatism during rifting and breakup is challenging due to the similar density and seismic velocity of inherited continental crust, magmatic additions and serpentinized mantle; and the difficulty of dating magmatic additions. Here rules of thumb to estimate these are proposed based on the characteristics of the top basement and Moho on seismically imaged margins. A simple kinematic model is used to generate first‐order crustal shapes of margins as a function of magma volume and timing of emplacement, which are successfully compared to a representative number of rifted margins. It appears that ‘magma‐rich margins’ require melt emplacement in advance of crustal thinning but not necessarily enhanced melt volume, while margins with exhumed mantle require a delay in melt emplacement but not necessarily a low magmatic volume. An alternative classification for the magma‐poor/magma‐rich dichotomy is proposed to better represent the crustal shape variability of rifted margins.
Review of Liquefaction Around Marine Structures by B. Mutlu Sumer

Owing to the growth of activities in the marine environment, the phenomenon of fluid–soil structures around marine infrastructures has attracted great attention among coastal and geotechnical engineers. Seabed liquefaction is one of the key failure mechanisms around marine installations such as breakwaters, pipelines, platforms, and offshore wind turbine foundations. Therefore, evaluation of the seabed instability around marine structures is particularly important for engineers involved in the design of foundations of marine infrastructures.
Climate‐driven variability in lake and wetland distribution across the Prairie Pothole Region: From modern observations to long‐term reconstructions with space‐for‐time substitution

This study was designed (1) to explore the links between climate variability and the population dynamics of closed‐basin surface water bodies of the Prairie Pothole Region (PPR) in North America, and (2) to test the validity of space‐for‐time (SFT) substitution approach for the analysis of hydrologic systems. Observational results from 1981 to 2000 show that the climate with respect to annual residual moisture (ε, i.e., precipitation minus potential evaporation or evapotranspiration) of the PPR changed across space (over 0.6 m) and time (over 0.3 m in central North Dakota), causing spatiotemporal variability in water areas and water body numbers. Spatial analysis of a suite of surface water complexes along a spatial ε gradient in the Missouri Coteau shows that a four parameter Boltzmann function quantitatively describes how the number of water bodies (N) varied as a function of 5‐year average annualε (R2 = 0.76). Temporal analysis of monthly N data (1931–2005) reconstructed by a hydrologic model also demonstrates that values of temporally varying N were highly correlated with εand yielded a nearly identical Boltzmann function. This result confirms the validity of SFT substitution and suggests that detailed modern spatial data can be used to interpret hydrologic system behaviors under past or future climate conditions. This study also has important regional‐scale implications for water resources management by providing a complete picture of the spatiotemporal water body distribution across the entire PPR and the potential for rapidly converting climate predictions into surface water assessments.
Combining uncertainty information with AI recommendations supports calibration with domain knowledge

Abstract The use of Artificial Intelligence (AI) decision support is increasing in high-stakes contexts, such as healthcare, defense, and finance. Uncertainty information may help users better leverage AI predictions, especially when combined with their domain knowledge. We conducted a human-subject experiment with an online sample to examine the effects of presenting uncertainty information with AI recommendations. The experimental stimuli and task, which included identifying plant and animal images, are from an existing image recognition deep learning model, a popular approach to AI. The uncertainty information was predicted probabilities for whether each label was the true label. This information was presented numerically and visually. In the study, we tested the effect of AI recommendations in a within-subject comparison and uncertainty information in a between-subject comparison. The results suggest that AI recommendations increased both participants’ accuracy and confidence. Further, providing uncertainty information significantly increased accuracy but not confidence, suggesting that it may be effective for reducing overconfidence. In this task, participants tended to have higher domain knowledge for animals than plants based on a self-reported measure of domain knowledge. Participants with more domain knowledge were appropriately less confident when uncertainty information was provided. This suggests that people use AI and uncertainty information differently, such as an expert versus second opinion, depending on their level of domain knowledge. These results suggest that if presented appropriately, uncertainty information can potentially decrease overconfidence that is induced by using AI recommendations.
The Utility of Responsive Neurostimulation for the Treatment of Pediatric Drug-Resistant Epilepsy

Drug-resistant epilepsy (DRE) has a strongly negative impact on quality of life, as well as the development of pediatric patients. Surgical treatments have evolved over time, including more invasive craniotomies for resection or disconnection. More recently, neuromodulation techniques have been employed as a less invasive option for patients. Responsive neurostimulation (RNS) is the first closed-loop technology that allows for both treatment and device data collection, which allows for an internal assessment of the efficacy of treatment. This novel technology has been approved in adults and has been used off label in pediatrics. This review seeks to describe this technology, its history, and future directions.
Markov Chain Signal Generation Based on Single Magnetic Tunnel Junction

Markov chain (MC) is a stochastic model that describes a sequence of events where the probability of each event depends only on the previous state. Such memoryless property makes MC widely used in machine learning and encryption, but the hardware implementation of MC generation remains challenging. This paper presents a hardware solution for generating MC signals using only one industry-ready magnetic tunnel junction (MTJ). High quality standard MC signal has been generated with low error and good randomness. The proposed solution also demonstrates the potential in increasing the generation speed. The presented solution offers a hardware-friendly implementation of MC signal in semiconductor chips.
Stakeholders’ perception of factors influencing adoption of a pediatric weight management intervention: a qualitative study

Background Childhood obesity is highly prevalent in the United States and disproportionately impacts communities of color and low-income populations; these disparities have worsened during the COVID-19 pandemic. Adoption of effective pediatric weight management interventions (PWMIs) that have been evaluated among low-income diverse populations is needed. The Healthy Weight Clinic PWMI, a package co-developed by the American Academy of Pediatrics and Massachusetts General Hospital, helps health centers establish multidisciplinary Healthy Weight Clinics based on previous randomized controlled trials which demonstrated effectiveness. We sought to identify the factors influencing successful adoption of this PWMI and understand adaptations needed prior to implementation in new sites. Methods We interviewed 20 stakeholders, 10 from two health centers in Mississippi where the Healthy Weight Clinic PWMI will be piloted (pre-implementation sites) and 10 from health centers that have previously implemented it (sites in maintenance stages). Separate interview guides informed by the Consolidated Framework for Implementation Research (CFIR) were developed for the pre-implementation sites and those in maintenance stages, including questions related to adaptations of the PWMI in response to the COVID-19 pandemic. Qualitative data analysis was conducted using directed content analysis based on CFIR constructs. Adaptations in response to the pandemic were categorized using Framework for Reporting Adaptations and Modifications-Expanded (FRAME). Results In pre-implementation sites, an inner setting facilitator mentioned was a positive learning climate. Characteristics of individuals that can facilitate adoption include staff willingness to learn, valuing evidence-based care for childhood obesity, and culturally and weight-sensitive staff. In terms of patient needs and resources (outer setting), social drivers of health are barriers to adoption, but creative solutions were suggested to mitigate these. Other facilitators related to the intervention included its multidisciplinary model and adaptability. Similar themes were elicited from sites in maintenance stages; adaptations brought on by the pandemic, such as telehealth visits and content modification to align with distancing guidelines and the effects of social isolation were also described. Conclusion Understanding the factors influencing adoption of an evidence-based PWMI informs necessary adaptations and implementation strategies required to facilitate nationwide dissemination of PWMIs, with the goal of reaching the populations most at-risk.
Ten Years of Product Market Reform in OECD Countries - Insights from a Revised PMR Indicator

This paper describes patterns and developments of regulation that potentially affect product market competition in OECD countries over the past decade. It uses the 2008 update and revision of the OECD indicators of product market regulation (PMR) that integrate to a larger extent than in the past information on sector-specific regulation and adapt a simpler and more transparent aggregation technique. The results show that OECD countries have extensively liberalised product markets over the past ten years and – as a consequence - convergence of regulation across OECD countries can be observed. However, reforms appear to have slowed in the most recent period (2003-2008) as compared with the earlier period (1998- 2003). Easing of product market regulation appears to have been driven to a considerable extent by reforms in sector-specific regulation, notably as regards the gas, electricity and telecommunications markets. Countries appear also to have followed consistent reform approaches. However, scope for further reform remains, especially as regards controls of governments over businesses, and as regards certain sectors such as professional services and retail trade. Dix ans de reformes sur le marche des produits dans les pays de l'OCDE : Un apercu sur la base d'un indicateur RMP revise Ce papier decrit les evolutions observees en matiere de reglementation potentiellement entravant le jeu de la concurrence sur les marches de produits des pays de l'OCDE au cours des dix dernieres annees. On utilise une version actualisee et revisee des indicateurs de reglementation des marches de produits (RMP) qui integre dans des proportions plus vastes que par le passe des informations sur les reglementations sectorielles et utilise une technique d'agregation plus simple et transparente. D'apres les resultats, les pays de l’OCDE ont considerablement liberalise leurs marches de produits depuis dix ans et – par consequence – la convergence des reglementations peut etre observee. Cependant, le rythme des reformes semble avoir ralenti ces dernieres annees (de 2003 a 2008) par rapport a la periode precedente (de 1998 a 2003). Sur l’ensemble de la periode, les reformes de la reglementation semblent avoir repose considerablement sur la reforme des reglementations sectorielles, notamment dans les marches du gaz, de l’electricite et des telecommunications. Les pays semblent avoir egalement introduit des reformes d'une facon coherente. Cependant, il existe encore des marges de manœuvre considerables, notamment en termes du controle exerce par l'Etat, et dans quelques secteurs, tels que les services professionnels et le commerce de detail.
Mathematical modeling and control the process of fuel combustion in gas combustion furnaces

In this manuscript, the results of mathematical modeling and control of the fuel combustion process in gas-burning furnaces are presented. The physical principles of constructing a primary measuring transducer for the selective measurement of the concentration of harmful substances (CO) and (CnHm) in exhaust gas mixtures are substantiated based on the spectrophotometric method of measurement in the absorption bands of the IR range, which ensures selectivity in determining the target parameters. An original combined optical scheme of a three-component (hydrocarbons, carbon monoxide, and dioxide) gas analyzer based on the infrared measurement method has been developed. A meaningful statement is made and a solution is given to the problems of automatic control of the efficiency of the fuel combustion process as an extremal problem of maximum speed. The efficiency of the system functioning is characterized by the amount of losses caused by the search for the optimum of the statistical characteristics of the dynamic object under study. A comparative analysis of methods for solving problems of extreme control by "increment" and by "second difference" indicates that the performance and quality of regulation is not inferior to the well-known traditional systems for controlling the efficiency of fuel combustion in gas-burning furnaces.
Marine microbial intact polar diacylglycerolipids and their application in the study of nutrient stress and bacterial production

Intact polar membrane lipids are essential components of microbial membranes and recent work has uncovered a diversity of them occurring in the ocean. While it has long been understood that lipid composition varies across microbial groups, the microbial origins of the intact polar lipids in the surface ocean remain to be fully explained. This study focused on identifying the microbial sources of intact polar diacylglycerolipids (IP-DAGs) in the surface waters of the western North Atlantic Ocean. We used three approaches to define these microbial sources: (i) C tracing to identify photoautotrophic and heterotrophic production of the major classes of IP-DAGs, (ii) cell sorting flow cytometry of Prochlorococcus, Synechococcus and heterotrophic bacteria to determine IP-DAG composition and (iii) regrowth incubations targeting IP-DAG production by heterotrophic bacteria. Stable isotope tracing indicated that sulfoquinovosyldiacylglycerol (SQDG) and diacylglyceryl-trimethyl-homoserine (DGTS) were produced predominantly by photoautotrophs, while phosphatidylglycerol (PG) production was dominated by heterotrophic bacteria. Of the cells sorted with flow cytometry, Prochlorococcus and Synechococcus were found to have abundant glycolipids, while heterotrophic bacteria were dominated by phospholipids. The regrowth incubations showed that the growth of heterotrophic bacteria correlated with an increase in the concentration of PG, phosphatidylethanolamine (PE) and monoglycosyldiacylglycerol (MGDG). The finding of MGDG in heterotrophic bacteria differs from previous work, which had asserted that the membranes of heterotrophic bacteria in this environment were composed entirely of phospholipids. Overall, our findings indicate that phytoplankton are the primary source of SQDG and DGTS, while heterotrophic bacteria are the dominant source of PG, making these three compounds promising biomarkers for the study of microbes in the surface ocean. 2011 Elsevier Ltd. All rights reserved.
Seismic stress state of a high earth dam using the spectroscopic method

The reliable and safe operation of earth dams located in seismic regions of the Republic of Uzbekistan requires engineers and researchers to constantly improve the design normative methods for their calculation in order to identify safety margins and stability under various types of loads. A method is proposed for calculating the seismic stress state of an earth dam (on the example of the Pskem HPP being designed), based on the spectral method, in accordance with the current standards for the design of hydro-technical structures in seismic areas. Structural and piecewise non-homogeneous physical and mechanical characteristics of soils of the structure body were provided by Hydroproject JSC of the Republic of Uzbekistan. The results of the calculations show that under a horizontal seismic impact, the dam performs transverse oscillations. It was determined that the maximum vertical stresses are observed in the lower part of the upper slope, where the maximum hydrostatic pressure is reached. The maximum shear stresses appear at the base of the dam and on the surface of the downstream slope, where the risk of loss of strength under shear is greater.
Recovery Effect of Hot-Carrier Stress on γ-ray-Irradiated 0.13 μm Partially Depleted SOI n-MOSFETs

Many silicon-on-insulator (SOI) metal–oxide–semiconductor field-effect transistors (MOSFETs) are used in deep space detection systems because they have higher radiation resistance than bulk silicon devices. However, SOI devices have to face the double challenge of radiation and conventional reliability problems, such as hot carrier stress, at the same time. Thus, we wondered whether there is any interaction between reliability degradation and irradiation damage. In this paper, the effect of hot-carrier injection (HCI) on γ-ray-irradiated partially depleted (PD) SOI n-MOSFETs with a T-shaped gate structure is investigated. A strange phenomenon that accelerated the annealing effect on irradiation devices caused by HCI in 5 s was observed. That is, HCI has fast recovery ability on the irradiated narrow-channel n-MOSFETs. We explain the physical mechanism of this recovery effect qualitatively. Moreover, we designed a comparable experiment to evaluate the effect on the wide-channel devices. These results show that the narrow-channel devices are more sensitive to irradiation and HCI effects than wide-channel devices.
Robust Analysis of XXE Attack Produced by Malware

Malware Analysis is one of the major growing sections in the cyber security area. Various trends and types have been introduced in the industry for example static malware analysis, Dynamic malware analysis, hybrid malware analysis and machine learning-based malware analysis techniques. There is various malware introduced for example virus, Worms, ransomware, spyware, botnets, etc. Security threats have increased drastically over the period. From viruses, spyware, worms, trojans, and ransomware to many zero-day Malware is reported and exploited in different platforms. Platforms like Windows, Android, and Cloud (Iaas or Paas). The Phenomenon is like attackers always making targets to humans via social engineering methodology or Phishing. When we talk about humans, the first thing that comes to mind of an attacker is the platform from which they will be able to concentrate on the target. The basic approach used mainly in detecting Malware in any platform is signature-based detection, which is quite beneficial. Still, as Malware is designed to be more obfuscated, detecting those malicious activities using a signature-based approach takes a lot of work. After the signature-based method, the behavior-based process is used to detect Malware. As some drawbacks appeared in both approaches, then, researchers found methodologies that can use Machine Learning Algorithms, for example, KNN, Random Forest, Nearest Neighbor, etc.
Occurrence and characterization of plasmids carrying tmexCD1-toprJ1, bla DHA-1, and bla CTX-M-127, in clinical Klebsiella pneumoniae strains

Objective Today, the emergence of Klebsiella pneumoniae with the tmexCD1-toprJ1 gene cassette in patients has presented a significant clinical challenge. Methods To present the detailed genetic features of the tmexCD1-toprJ1 gene cassette of K. pneumoniae strain F4_plasmid pA, the whole bacterial genome was sequenced by Illumina and nanopore platforms, and mobile genetic elements related to antibiotic resistance genes were analyzed with a series of bioinformatics methods. Results K. pneumoniae strain F4 was determined to be a class A+C beta-lactamase, and was resistant to routinely used antibiotics, especially tigecycline, because of the oqxAB gene localized on the F4_chromosome and tmexCD1-toprJ1 on F4_plasmid A. After plasmid transfer assays, the F4_plasmid pA or F4_plasmid pB could be recovered with an average conjugation frequencies of 3.42×10-4 or 4.19×10-4. F4_plasmid pA carried tmexCD1-toprJ1 and bla DHA-1 accompanied by genetic intermixing of TnAs1, Tn5393, TnAs3, and In641, while F4_plasmid pB, bearing bla CTX-M-174, had structural overlap of TnAs3 and In641. Conclusions We suggested that plasmids carrying tmexCD1- toprJ1 might be strongly related to IS26-integrated loop intermediates. This study showed that due to the structural evolution of F4 and related strains, their resistances were so strong that effective antibiotics were virtually unavailable, therefore their spread and prevalence should be strictly controlled.