Geodorum laxiflorum Griff. (Orchidaceae) is relectotypified here by superseding Bhatt & al. (2015) and by designating a CAL-specimen as lectotype of G. laxiflorum, as the lectotype designated by Bhatt & al. (2015) for the name is found erroneous. Morphological variations along with an overlooked character of the labellum of this Indian endemic and vulnerable species of orchid are presented based on study of livespecimens collected in the wild for the first time from two Indian states. Further, the name Eulophia diffusiflora M.W. Chase, Kumar & Schuit. is synonymised under G. laxiflorum until Eulophia R. Br. is conserved against Geodorum Andrews.

This study aimed to establish an association between induced cytokines and COVID-19 disease severity and moderate to help in prognosis and clinical care in both vaccinated and non-vaccinated patients, Immune parameters for COVID-19 patients with or without previous vaccination are evaluated.

Pollen morphological studies of 10 species and 3 varieties of Melanoseris Decne. (Cichorieae-Asteraceae) were conducted from Pakistan and Kashmir. Pollen were studied by using Light microscope, Fluorescent microscope and Scanning Electron Microscope. Pollen of seven taxa were examined for the first time including four endemic species to the study area. Pollen grains are usually isopolar, spheroidal to oblate-spheroidal, elliptic to rarely circular in equatorial view, hexagonal in polar view, trizonocolporate and echinolophate with 15 lacunae. Significant variation has been found mainly in the size of pollen, number of echinae and sculpturing of the polar area. Agglomerative cluster analysis based on the 14 pollen morphological characters, showed that diameter of polar and equatorial axis, pollen size and polar axis were the most valuable variables in explaining total variation and separating the studied taxa. All the examined taxa were grouped into two distinct pollen-types viz., Melanoseris alii – type and Melanoseris stewartii – type. Keys to the pollen types and species of each pollen type are provided. The correlation between the results of recent phylogenetic studies and the present palynological results are discussed.

This paper implements a hybrid encryption algorithm by combining multiple chaotic systems with the Sea Lion Optimization algorithm (SLO) and Discrete Hartley Transforms. Before the input image is converted to frequency domain, it is confused using Lorenz’s chaotic system and partitioned into four equal parts. After transforming the four sections into the frequency domain, the confusion operations are performed on each section using the chaotic strings generated by the Uruk 4D chaotic system. Using the Sea Lion Optimization (SLO) algorithm, a third phase of confusion is implemented to increase randomness and break down the statistical correlation between the image’s components. The final image is encrypted using a bit-stream from a chaotic Nahrain 3D system. The results of security tests and analyses conducted with the new hybrid algorithm indicate that it provided a high level of resistance to predictable statistical invasion in comparison with other encryption conventional techniques.

Feeding difficulties in children with cerebral palsy are common, yet there is no comprehensive view of the caregivers’ experiences. This review utilized the JBI meta-aggregation approach to synthesize qualitative literature regarding the feeding experiences of caregivers of children with cerebral palsy. Using a comprehensive search strategy databases and grey literature were searched that identified 619 studies for screening, with 11 studies included in the review: 239 findings were extracted for analysis resulting in 22 categories and six synthesized findings. The synthesized findings included the impact of feeding on caregivers and the family, feeding and feeding difficulties, caregivers’ perceptions of support, feeding as an essential part of being a mother and family, feeding decisions, and impact of a gastrostomy tube. The review captured studies that varied in country (income type) and method of feeding. Credibility and dependability for all synthesized findings were at the moderate level.

Reciprocity, which refers to a behavior in which someone returns goods as a consequence of having received goods beforehand. In the present study, we investigated whether theory of mind is linked to different type of reciprocity. Moreover, we explored whether mental time travel and empathy mediate the relation between the theory of mind and reciprocity. A sample of 202 children (63.9%girls, Mage=54.64months) participated in the study. The parents completed the empathy questionnaire, while the children completed the theory of mind, mental time travel, and reciprocity experiments. Results indicated that theory of mind was positively associated with different types of reciprocity. The relationship between theory of mind and different types of reciprocity was mediated by mental time travel and empathy. The implications of these findings highlight the significance of social cognitive abilities and emotional understanding in promoting positive reciprocal interactions among children.

A document by yufei wang. Click on the document to view its contents.

Reanalysis products, or gridded datasets more broadly, are often used in place of surface observations. While they have been shown to capture long-term statistics on global or regional levels, it is still unclear how well they perform at the tails of the distribution, especially on daily timescales. Four widely used datasets, ERA5, ERA5-Land, MERRA-2, and PRISM, were assessed for their ability to capture extreme heat, extreme cold, and heavy precipitation events over the contiguous US (CONUS). While biases are evident in each dataset, particularly across the western US for temperature and along the Gulf Coast for heavy precipitation, all datasets do reasonably well in capturing extreme events and trends. Extreme heat is better represented than extreme cold or heavy precipitation. While no dataset emerges as a clear best for extreme heat, PRISM generally performs best for extreme cold and the bias-adjusted MERRA-2 dataset generally performs best for heavy precipitation days.

Detecting maturity of fruits and vegetables, especially avocados, is a critical task in modern agriculture and supply chain management. Moreover, the accurate assessment of maturity can improve the harvesting time and ensure consistent quality for consumers through the supply chain process. A key approach to achieving this is the non-destructive estimation of produce quality. Vision-Based Tactile Sensing (VBTS) technologies, which mimic human tactile perception, offer a novel approach to address this challenge. This paper focuses on the use of two notable VBTS technologies, GelSight and Facebook's DIGIT sensor. Using these technologies, we developed two novel datasets that assess the avocado maturity using the transformer models, marking a novel contribution in this area. We adapted several transformer architectures to the task, conducting experiments on both image classification and regression to estimate avocado firmness. Among the variants tested, the PoolFormer displayed notable results with accuracy of 92% in detecting avocado maturity level when used with tactile data. The datasets and code used in this study will be shared at this URL. Index terms-Vision-based tactile sensors (VBTS), Vision Transformer (ViT), self-attention block, maturity classification.

INTRODUCTIONHelicobacter pylori (H. pylori) infection have been reported to be the most common human infection, affecting about 50% of the global population (1–3). By the age of 5 years about 50% of children are infected and this rate has been reported to exceed 90% during adulthood (4). A recently hospital based study in Uganda among children aged 1 to 15 years found the prevalence to be 24.3% and this increased with increasing age (1). A previous study which was conducted in the Bugando Medical Center on Helicobacter pylori infection in children < 12 years of age reported a prevalence of 42.9%. It was clearly reported that the prevalence increased with increase in age (5). Treating all children could expose them to unnecessary antibiotics therapy hence promoting antimicrobial resistance (AMR) development. On the other hand invasive tests to establish causes of symptoms are not widely available in many settings in LMICs. The joint ESPGHAN/NASPGHAN guidelines recommend confirmation of H. pylori infection by invasive methods such as upper gastrointestinal endoscopy, thereafter provision of eradication therapy preferably proton pump inhibitor plus two antibiotics for 14 days to the H . pylori infected children who have gastric or duodenal ulceration or erosions. Confirmation of eradication is performed at least 4 weeks after completion of antibiotic treatment and 2 weeks after proton pump inhibitors (PPI ) cessation using the urea breath test or H. pylori stool antigen test (6).

Syngman Rhee 1, *1 Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Korea* Corresponding Author: Syngman.Rheex@gmail.com

Background: The use of Aspirin in the primary prevention of cardiovascular disease (CVD) is still a topic of debate, especially in patients with diabetes. The present meta-analysis aims to rule out the efficacy of Aspirin in patients with diabetes and to compare the effectiveness of Aspirin with a placebo (or no treatment) for the primary prevention of CVD and all-cause mortality events in people with diabetes. Materials and Methods: An extensive and systematic search was conducted in Medline (via PubMed), Cinahl (via Ebsco), Scopus, and Web of Sciences from 1988 to December 2020. A detailed literature search was conducted using Aspirin, cardiovascular disease (CVD), diabetes, and efficacy to identify trials of patients with diabetes who received Aspirin for primary prevention of CVD. Demographic details with the primary outcome of events and bleeding outcomes were analyzed. The risk of bias (RoB) in included studies was evaluated using the QUADAS-2 tool. Results: A total of 5 studies out of 13 were included with 23,570 diabetic patients; 11,738 allocated to Aspirin and 11,832 allocated to the placebo group. In patients with diabetes, there was no difference between Aspirin and placebo with respect to the risk of all-cause death with a confidence interval (CI) varying 0.63 to 1.17. In addition, there were no differences in the bleeding outcomes with an odds ratio of 1.4411 (CI 0.47 to 4.34). Conclusion: Aspirin has no significant risk on primary endpoints of cardiovascular events and the bleeding outcomes in diabetic patients compared to placebo. More research on the use of Aspirin alone or in combination with other antiplatelet drugs is required in patients with diabetes to supplement currently available research.

Significant efforts are made to eliminate biases from models and observations, especially at operational centres. However, these biases still significantly impact the quality of assimilated data products. In the case of numerical weather prediction, residual biases can result in suboptimal utilization of available data or even render them unusable. In climate research based on re-analyzed datasets, it can be difficult to distinguish between accurate signals and trends from inaccurate ones caused by biases in models and data.This study used a detection algorithm written in the R language to perform statistical computing and data analysis. The algorithm was applied to a synthetic study utilizing pseudo-stations based on ERA5 to simulate and detect instrumental effects. Rather than using observational data from real-world sources, the study generated artificial scenarios to guarantee the quality of the data assessment.ERA5 is a well-known atmospheric reanalysis product that was used to create simulated or pseudo-weather stations. These stations were designed to mimic actual stations but were generated computationally to enable controlled experimentation. The study constructed twenty-five pseudo-stations in Frankfurt, Germany, within the latitude 49–50° and longitude 8–9° in the Northern Hemisphere. The study utilized the ERA5 land surface dataset of hourly 2-m air temperature of September in 2013 and 2014. The study tool significantly improves data quality assessment by evaluating the synthetic dataset's precision, dependability, and general robustness. It introduces a range of factors to assess the degree to which the data quality can be enhanced and maintained, including station movements, errors, and noise.To determine the likelihood of the threshold correlation occurring at our confirmed noise threshold, the correlation values occurring at 1.53 for each locational trial were extracted. Our threshold correlation was evaluated to see if it occurred within a likely range of correlations occurring at 1.53 degrees of noise, where 0.9744052 is less than 0.9744667 but greater than 0.9781093. This process helps improve detection methods for data anomalies, contributing to advancements in data quality assessment.

Using fine-scale measurements in the northwestern Sea of Japan, we estimated the vertical mixing parameters in the sea water column extended from the lower part of the thermocline downward to the near-bottom layer above the continental slope. The vertical scales of the turbulent patches were determined together with the turbulent dissipation rate and diapycnal diffusivity based on the conductivity, temperature, and depth data obtained by an Aqualog moored profiler from April through October 2015. The Thorpe-scale method was used to estimate the vertical mixing parameters as well as the vertical heat and salt fluxes. The enhanced vertical mixing, as well as enhanced upward heat flux and downward salt flux, occurred below the mixed layer despite strong density stratification. By comparing the turbulent dissipation rate and diapycnal diffusivity estimates derived via the Thorpescale method and the estimates of the same parameters obtained earlier by applying the finescale parameterization method to the same dataset in addition to the collocates of the current velocity measurements, the comparative accuracy evaluation of both methods was carried out. Finally, by compiling the vertical mixing data obtained by the Thorpe-scale method and the finescale parameterization approach, the generalized depth profile for the background diapycnal diffusivity is presented for the depth range from 70 to 350 m.

The pervasive influence of the internet in contemporary society has transformed the manner in which we access information and engage with services, emphasizing its paramount role in our daily lives. Nevertheless, this convenience is accompanied by an escalating array of cyber threats that persistently evolve and adapt, presenting substantial hazards to individuals' digital identities and sensitive data. To shield against these threats, it is imperative to cultivate secure browsing habits. This systematic review scrutinizes three fundamental dimensions of secure browsing habits: evading untrusted websites and downloads, employing secure connections (such as HTTPS), and exercising prudence when utilizing public Wi-Fi networks. By scrutinizing current research in this domain, our objective is to offer valuable insights and practical recommendations, empowering individuals to fortify their online security. In the contemporary digital terrain, the ability to distinguish between safe and untrustworthy websites and downloads stands as a pivotal element of secure browsing habits. Recent research underscores the proliferation of malevolent websites and deceptive downloads that have the potential to compromise personal data and privacy. To mitigate these risks, individuals must nurture the capacity to recognize and avoid dubious sources of online content. Another critical facet of secure online navigation involves the use of secure connections, particularly those fortified by the HTTPS protocol. HTTPS encrypts the data exchanged between a user's web browser and the visited website, thwarting potential eavesdropping and data interception by malicious entities. Our review delves into the most recent research on the prevalence of HTTPS adoption and its influence on overall online security. Public Wi-Fi networks, while offering convenience, have garnered notoriety as hotspots for cyberattacks. Research in this domain underscores the vulnerabilities inherent in these networks and the imperative need for adopting cautious practices while using them. Our systematic review investigates the perils associated with public Wi-Fi, the prevalence of cyber threats in such environments, and strategies to safeguard sensitive information while connected to these networks. Building upon the insights derived from our systematic review, we proffer a set of pragmatic recommendations aimed at reinforcing online security. These recommendations encompass the significance of regularly updating software, the use of reputable antivirus software, the adoption of password management tools, and the cultivation of user awareness concerning phishing and social engineering tactics. This systematic review serves as a comprehensive exploration of the pivotal facets of secure browsing habits in an epoch marked by digital interconnectedness and online perils. By synthesizing the latest research, we furnish individuals with the knowledge and tools necessary to navigate the digital realm securely and to effectively shield their digital identities and sensitive information. In doing so, we aspire to embolden individuals to mitigate online risks and to interact with the internet with heightened confidence and enhanced security.

Incorporating observational data in carbon-cycle models provides a systematic framework for understanding complex ecosystem carbon dynamics, contributing essential insights for climate change mitigation and land ability to continue acting as a carbon sink. This study addresses the challenge of accurately quantifying carbon fluxes and pools, focusing on the information content of remote sensing observations. The research explores the impact of assimilating multiple observational datasets into the CARbon DAta MOdel fraMework (CARDAMOM). Satellite observations such as solar-induced fluorescence (SIF) and vegetation optical depth (VOD) are used as proxies for photosynthesis and aboveground biomass, respectively. The study aims to answer key questions about the reliability of remote sensing data in constraining the ecosystem respiration flux and sizes and dynamics of carbon pools and the relative usefulness of SIF and VOD across five FLUXNET sites. We conclude that assimilating remote SIF and VOD instead of site-based net ecosystem exchange did not deteriorate and even improved model predictions for all metrics except for interannual variability. Notably, the improved results correspond to a consistent shift in values for crucial model parameters across all five investigated sites.

Particle-fluid separation by settling is an ubiquitous process in Earth and Planetary Sciences. The rate of growth and the initial structure of cumulate layers in magma oceans or, over smaller scales, crustal magmatic systems depend on the crystal settling dynamics in melt-rich environments. The settling velocity of particles is controlled by a balance between buoyancy

A document by Dr. Vishal V. Bhende. Click on the document to view its contents.

A document by Francisco Muro. Click on the document to view its contents.

Space gravity missions have enabled the quantification of ocean mass increase over the past two decades due to exchanges between continents and oceans. Globally, non-steric sea level rise is predominantly driven by melting polar ice sheets and mountain glaciers. However, continental hydrological processes also contribute to sea level change at significant magnitudes. We show that for most coastal areas in low-to-mid latitudes, up to half of local non-steric sea level rise is due to changes in water storage in ice-free continental regions. At other locations the direct attraction effect of anthropogenic pumping of groundwater over the duration of the GRACE and GRACE-FO mission offsets sea level rise from ice sheet and glacier melt. If these trends in continental hydrological storage were to slow or stop, these regions would experience greatly accelerated sea-level rise, posing a risk to coastal settlements and infrastructure, however, sea level rise elsewhere would be reduced.

A document by Hairui Zhao. Click on the document to view its contents.

This paper represents a pioneering effort to investigate multifractal dynamics that exclusively encompass the return time series of USA Education Group Stocks concerning two non-overlapping periods (before, during, and after COVID-19). Given this, we employ the Multifractal Detrended Fluctuations Analysis (MF-DFA). In this sense, we investigate the generalized Hurst exponent ℎ(𝑞) and the Rényi exponent 𝜏 (𝑞) for each asset and quantify their statistical properties, which allowed us to observe separately the contributing small scale (primarily via the negative moments 𝑞) and the large scale (via the positive moments 𝑞). We perform a fourth-degree polynomial regression fit to estimate the complexity parameters that describe the degree of multifractality of the underlying process. Also, we shall apply the inefficiency multifractal index to assess the COVID-19 shock for both periods. Our findings show that for both periods, the majority of these assets are marked by multifractal dynamics associated with persistent behaviour (𝛼 0 > 0.5), a higher degree of multifractality and the dominance of large fluctuations. At the same time, most of these assets show asymmetry parameter (𝑅 > 1) for both periods, indicating that large fluctuations contributed more to multifractality in the time series of returns.

Monitoring cognitive vigilance during attentive tasks, such as the psychomotor vigilance test (PVT), helps evaluate performance. EEG can be used to track the type of attentive control being used during task progression: top-down (TD; goal-driven) or bottom-up (BU; salient driven). This is contingent on the dichotomous view of attention (Gaspelin & Luck, 2018), which excludes a third proposed mechanism: selection bias (Awh et al., 2012). In this literature review, it is proposed that low frequency beta (β) waves are a strong index of TD control. BU control, however, lacks a clear EEG metric such as proposed gamma (𝛾) waves (Buschman & Miller, 2007). Additionally, mission constraints prevent the ideal use of both spatial fMRI and temporal EEG. For such a metric, a follow up investigation measuring changes in β wave activity from baseline may provide an indirect metric of BU control. Furthermore, a general lack of understanding of BU control and its possible task subsets warrants exploration.

A document by Jose A. Martínez. Click on the document to view its contents.