Higher Values Research Articles

Determination of Heavy Metal Contents in some Medicinal Plants from The Region of Oran from Algeria

Background: Some heavy metals found in our environment are toxic; once absorbed by plants, they build up in tissues and are phased out. Other heavy metals are trace elements needed for human health, but they can be toxic in excess concentrations. Objective: The purpose of this study is both to confirm the necessary metals' recognized medicinal virtues and to raise awareness of the presence of harmful non-essential metals that could harm humans and the environment. Methods: This study depicts a profile of existence of heavy metals (Zn, Cu, Cd, Pb, Fe) in some important herbal plants used in some parts of the country as a food condiment like (Moringa oleifera, Artemesia campestis, Nigella sativa, Asparagus stipularis, Sesamum indicum, Ruta montana, Rhamnus alaternus, Pistacia lentiscus using atomic absorption spectrophotometer. Results: The heavy metals in these medicinal plants were in the range of 0.38-0.56ppm of Zn, 0.00- 0.69 ppm of Cu, 0.13-0.16 ppm of Cd, 0.26-0.52 ppm of Pb, 1.10-8.89 ppm of Fe. Of the eight medicinal plants/products examined, the prescribed limits were respected. For each plant, a test sample of 2 grams of powder is mineralized. Each mineral is analyzed by injection. For each element, a calibration curve is generated. Assay with atomic absorption devices (lead, copper, cadmium, nickel, manganese) is carried out. The results are expressed in mg/L for different species. The highest value is lead. Copper content is present in various extracts and is considered a good source. Conclusion: The obtained results are promising for human health. The zinc contained in Moringa is very valuable. The presence of iron in the species Rhamnus alaternus confirms its use in traditional medicine as an anti-anemic.

Comparison of individual quick freezing and traditional slow freezing on physicochemical, nutritional and antioxidant changes of four mango varieties harvested in two ripening stages

This research evaluated the physicochemical, nutritional and antioxidant changes of frozen cubes from four mango varieties (Tommy Atkins, Tommy Kent, Keitt, and Kent). The factors were the ripening stage (green-mature or GM and three-quarter or TQ) and freezing with the traditional slow freezing (TSF) or individual quick freezing (IQF). IQF mango cubes kept higher physicochemical, nutritional and antioxidant values (p < 0.05) than TSF mango cubes, depending on the ripening stage in each variety. IQF-GM mango cubes from all varieties exhibited the highest content of vitamin C, dietary fiber, minerals (Na, K, Ca, Mg, Cu, and Mn) and phenolic compounds, highlighting gallocatechin, gallic acid, epigallocatechin, and vanillic acid. In contrast, IQF-TQ mango cubes had the highest content of vitamin E, thiamine, riboflavin, niacin, and pyridoxine, as well as total carotenoids, including β-carotene, α-carotene, cryptoxanthin, zeaxanthin and lutein. This is the first report on changes in nutrients and antioxidants from frozen mango cubes with IQF, concluding that IQF is an excellent alternative to conserve nutrients and antioxidants of mango pulp in two ripening stages.

Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting Gestational Diabetes Mellitus in China.

Research suggests that lowering maternal morbidities associated with gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification. Therefore, the purpose of this study was to examine potential markers for identifying first-trimester pregnant women who are at high risk for developing GDM. This was a retrospective cohort study. The pertinent maternal clinical data were retrieved prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to identify potential GDM predictors. The predictive accuracy was evaluated using the area below the receiver operating characteristics curves. In comparison to the control group, the GDM group had significantly higher mean values for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p < 0.05). The Pearson's correlation coefficients indicated that the first-trimester FBG was significantly positively correlated with the second-trimester FBG. Higher FBG and BMI values were associated with an increased risk of developing GDM (odds ratio [OR] = 3.04, 95% confidence interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12-1.25). In terms of predicting GDM, the FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas that for BMI was 23.7 kg/m2. The first-trimester FBG and BMI could be utilized to predict gestational diabetes.

Design of drought early warning system based on standardized precipitation index prediction using hybrid ARIMA-MLP in Banten province

Drought Early Warning System (DEWS) is an effort to disseminate early warning information based on climate and hydrology aspects. The DEWS design uses ARIMA, MLP, and hybrid ARIMA-MLP models to predict drought based on SPI for 1, 3, and 6 months. Predictions were made using ERA5 monthly rainfall data from 1981-2022 corrected based on observation data on 9 grids of observation rain gauges in Banten Province. The design of the ARIMA model is determined by selecting the combination of p and q parameters with the lowest AIC value, while the MLP architecture is determined by referring to the study literature and by trial and error testing. ARIMA models and hybrid models are not able to follow actual data fluctuations and have high error values in both SPI1, SPI3, and SPI6, so they are not recommended in this study. The MLP model has the best prediction ability, namely in SPI6 prediction with NSE value reaching &amp;gt;0.5 and RMSE value.

Efficacious application of data-driven machine learning models for predicting and optimizing the flexural tensile strength of fiber-reinforced concrete

In the literature, a limited number of studies have utilized the random forest (RF) technique to model the flexural tensile strength (FTS) of steel fiber reinforced concrete (SFRC). This study established modeling of the FTS of SFRC containing mono-fibrous (exclusively crimped and hooked) systems. A comprehensive database of 193 records was used from 18 published studies (including 30 documents sampled by authors). Machine-learning numerical models were developed and evaluated. Partial dependence plots were constructed to visualize the relationship between the model parameters and rank the parameters based on their importance. It has been found that the RF model can be rationally used to predict and optimize the FTS of SFRC, as most of the predicted–tested results were close to the ±80% accuracy range. The model showed of underestimation nature for SFRC with high FTS values. The Gini index-based importance analysis showed that the fiber’s content and tensile strength had the highest significance among the other variables. A drastic increase in the FTS by an increase in the fibrous dosage was achieved. However, no major SFRC’s tensile strength enhancement for dosages was more than 1.5%, while its optimum diameter was 0.5–0.7mm. The results also illustrated that the effect of the fiber’s length is quite similar to that of the fiber content. However, no significant increase can be achieved by increasing the fiber’s length from 40 to 60mm.

Accelerating Globally Optimal Consensus Maximization in Geometric Vision.

Branch-and-bound-based consensus maximization stands out due to its important ability of retrieving the globally optimal solution to outlier-affected geometric problems. However, while the discovery of such solutions caries high scientific value, its application in practical scenarios is often prohibited by its computational complexity growing exponentially as a function of the dimensionality of the problem at hand. In this work, we convey a novel, general technique that allows us to branch over an n-1 dimensional space for an n-dimensional problem. The remaining degree of freedom can be solved globally optimally within each bound calculation by applying the efficient interval stabbing technique. While each individual bound derivation is harder to compute owing to the additional need for solving a sorting problem, the reduced number of intervals and tighter bounds in practice lead to a significant reduction in the overall number of required iterations. Besides an abstract introduction of the approach, we present applications to four fundamental geometric computer vision problems: camera resectioning, relative camera pose estimation, point set registration, and rotation and focal length estimation. Through our exhaustive tests, we demonstrate significant speed-up factors at times exceeding two orders of magnitude, thereby increasing the viability of globally optimal consensus maximizers in online application scenarios.

Tailoring the physical, optoelectronic and transport properties of novel lead-free Sodium perovskites Na2TeX6 (X = Cl, Br, I) using DFT computation for photovoltaic and thermal devices

In this work, we analyzed the system, elastic, electronics, optical, as well as thermoelectric properties of perovskites Na2TeX6 (X = Cl, Br, I) systems using a potential linearization augmented plane Wave method with the help of WIEN2k. code. The tolerance factor, fermi energy, and mechanical characteristics define the stability of perovskites Na2TeX6 (X = Cl, Br, I) systems. The electronic properties were calculated using the generalized gradient plus the modified Becke-Johnson method. The computed values of the compounds Na2TeX6 (X = Cl, Br, I) are 3.15 eV, 2.54 eV, and 1.85 eV, indicating that the analyzed materials have electronic material. We determined the optical characteristics based on the facts and hypotheses of the dielectric function, refractive index, reflection, and absorption coefficients, taking into consideration the usage in photovoltaic and optoelectronic devices. Investigation of their transport characteristics reveals that both materials have been thermodynamically stable. The compounds were predicted in the temperature range of 200-1200 K for electrical properties such as electrical conductance, Seebeck coefficient, thermal conductivity, and power factor. At low temperatures, the compounds had a good Seebeck coefficient, which shows that the hole is the main part of the system and the solids nature is p-type. The perovskites to Na2TeX6 (X = Cl, Br, I) compound's high zT values suggested that they may be employed in thermoelectric devices.

Fabrication of PVA-based electromagnetic interference shielding composite film by improving the dispersibility of carbon nanomaterial via m-LDH modification

A good dispersion of carbon (C) nanoparticles is a crucial factor to ensure good electrical conductivity and electromagnetic interference shielding effectiveness (EMI SE) performance of polymer-based composite films. In the present work, water-dispersed monolayer layered double hydroxides (m-LDH) was used to modify the C nanoparticles via an in-situ growth method and applied as the conductive fillers for polyvinyl alcohol (PVA) composite films. The prepared C@m-LDH hybrids displayed good water dispersibility due to the in-situ growth of m-LDH with high dispersibility and small particle size on the surface of C nanoparticles, as well as the synergistic effect of styrene-maleic anhydride copolymer attached to the m-LDH surface. The property testing experiments for the PVA composite films demonstrated that compared with pristine C nanoparticles, as-prepared C@m-LDH hybrids exhibited greatly enhanced the electrical conductivity and higher EMI SE performance. Moreover, PVA/C@m-LDH composite film exhibit remarkably low permeation thresholds, especially PVA/CB@m-LDH composite film, CB@m-LDH content is only 0.4 wt%. In order to further improve the electrical conductivity and EMI SE performance, hybrid fillers of CB@m-LDH/CNT@m-LDH were added in the composite films with different mass ratios. Among, the polymer composite films containing 30 wt% CB@m-LDH/CNT@m-LDH with a mass ratio of 12:1 achieves a high EMI SE value up to 29 dB at a thickness of 0.2 mm, indicating the potential use of these materials for electromagnetic shielding application in the X-band frequency region. The present study paves the way for designing high-performance polymer-based composite film by Cnanoparticles functionalization and altering processing conditions for efficient microwave shielding material.

Perspectives from Undergraduate Life Sciences Faculty: Are We Equipped to Effectively Accommodate Students With Disabilities in Our Classrooms?

Higher education has evolved in ways that may increase the challenges life science faculty face in providing accommodations for students with disabilities. Guided by Expectancy-Value Theory, we interviewed 34 life sciences faculty instructors from institutions nationwide to explore faculty motivation to create disability-inclusive educational experiences. We found that faculty in our sample perceive that providing most standard accommodations is a manageable but often challenging task. Further, faculty in our sample feel that improving accommodations necessitates additional support from their institutions. Most faculty had high attainment value for providing accommodations, in that they strongly believed that supporting students with disabilities is the fair and right thing to do. However, faculty did not perceive much utility value or intrinsic value in their task of providing accommodations, and most reported that providing accommodations can be a substantial burden on faculty. These findings imply that current approaches to providing inclusive educational experiences for students with disabilities rely primarily on the personal belief that providing accommodations is the right thing to do, which likely results in a flawed and inequitable system given that not all faculty equally share this conviction.

Exploring Tourist Behavior on Halal Food as an Option for Culinary Tourism

As one of the countries with the world’s largest Muslim population, Indonesia places a high value on halal, including halal food in culinary tourism. Culinary tourism has attracted the attention of several researchers in recent decades because it enhances tourists’ travel experiences. Although much research has been conducted from economics, marketing, service, and ingredients perspectives, research on tourists’ behavior in selecting food during culinary tours in destinations dominated by non-halal food is still rare. This paper aims to present a framework for tourists’ halal food consumption behavior and investigate the factors that Indonesian tourists consider when deciding to consume halal food. To gain deeper insights, the author conducted qualitative research by conducting in-depth interviews with fifteen tourists at the Suryakencana Chinatown Tour in Bogor City, West Java Province, Indonesia. This study discovered that push factors reflect attitudes toward consuming halal food, allowing individual tourist attitudes to create halal markets and culinary tours, ultimately influencing how tourists buy halal food.

Evaluation of Select Monarda Taxa in Montane and Piedmont Regions of Georgia: I. Horticultural Performance and Disease Tolerance

We evaluated several horticultural cultivars and species of Monarda, a genus native to North America with a center of diversity in the Southeast and advertised as beneficial to wildlife, to assess landscape performance with respect to vegetative habit, flower production, and disease tolerance in Georgia Piedmont and montane habitats. We established two experimental sites: the State Botanical Garden of Georgia in Athens (USDA Zone 8b) and the Georgia Mountain Education and Research Center in Blairsville (USDA Zone 7b). We then tracked plant performance over 2 years after establishment. Our study included 10 samples of Monarda, representing five cultivars and four species. Estimated height and width at flowering showed M. bradburiana, M. Sugar Buzz® Grape Gumball, and the M. punctata ecotypes were smaller than other tested taxa. M. fistulosa had the most flowers at the Blairsville site and equal flowering with M. punctata at the Athens location, but most taxa flowered for 2 to 3 months with ∼100 flowering stems per stand. All samples were susceptible to powdery mildew, but M. bradburiana displayed the highest level of tolerance. Otherwise, cultivars tended to be more tolerant to powdery mildew than species. The observed variations in horticultural characteristics and performance highlight the high value of this genus for Georgia landscapes.

Tensile yield behavior of isotactic polybutene-1

Relative to polyethylene or polypropylene, isotactic polybutene-1 (iPB-1) in form I is of high value for commercial applications due to its excellent mechanical properties; whereas, it tends to exhibit inconspicuous yield behavior closely related to poor energy consumption and thus weak toughness when subjected to uniaxial stretching. Regret, few studies had addressed how to control iPB-1 tensile yield behavior. As the tensile yield behavior of form I iPB-1 depended on the applied annealing temperature Ta and time ta as well as cyclic loading-unloading conditions, iPB-1 three-phase structure evolution was carefully characterized by wide-line solid-state 1H NMR. With Ta or ta increasing, the weakening tensile yield behavior of iPB-1 was accompanied by a decreasing rigid phase content which can be recognized by 1H NMR rather than DSC, revealing that a higher rigid phase content in iPB-1 favors a more significant typical tensile yield behavior. Therefore, the mutual contact possibility, dislocation and slip of iPB-1 rigid phase were proposed to be responsible for the tensile yield behavior. Furthermore, the weakening tensile yield behavior of iPB-1 due to annealing at a higher temperature can slowly recover back while further annealing at a lower temperature, implying the reversibility of destroyed rigid phase. Cyclic loading-unloading under a suitable fixed strain can promote formation of rigid phase in iPB-1, favoring appearance of the typical yield behavior. The results are of significance for understanding the structural origin of tensile yield behavior of iPB-1 and further tuning toughness of iPB-1 for its industrial applications.

Effect of Herbal Kunapajala and Different Organic Manures on Plant Growth, Quality and Yield of Withania Somnifera L. Dunal

Abstract: Cultivation of medicinal plants, especially high value medicinal plants is creating new dimension in the field of agriculture. The need for developing countries to acquire technologies and techniques for programmed cultivation of medicinal plants is a current issue. Ashwagandha, the 3rd important prioritized medicinal plant listed by National Medicinal Plant Board (NMPB) is also known as Indian Ginseng. Herbal medicines strongly involve mass appeal being safer and inexpensive. The traditional use of ‘Ashwagandha was to increase energy, youthful vigour, endurance, strength, health, nurture the time elements of the body, increase vital fluids, muscle fat, blood, lymph, semen and cell production. The total alkaloid content in the roots of the Indian types has been reported to vary between 0.13 and 0.31%, though much higher yields (upto to 4.3%) have been recorded elsewhere. In all, 13 components have been obtained chromatographically. Herbal kunapajala can be used as nutrient supplement at any growth stage of crop plant. The effectiveness of herbal kunapajala is due to the breakdown of complex compounds in to lower molecular weight compounds during the fermentation of ingredients and this make available nutrients to the plants. So, this study is planned to evaluate the effect of herbal kunapajala and organic manure on ashwagandha.

Physicochemical attributes and bacteriome diversity of Lake Tunari, Taraba State, Nigeria

Physicochemical parameters of aquatic habitats can play an influential part in shaping the microbial communities of water bodies. In this study, water samples from Lake Tunari were analysed for its microbiome and physicochemical attributes, using spectrophotometric and culture-dependent methodologies respectively. The temperature of the lake ranged from 28.00 – 29.00 (°C), while the pH ranged from 6.50 – 7.20. Heavy metals such as Manganese (0.48 ppm), Lead (0.14 ppm) and Selenium (0.10 ppm) showed significantly high values in selected parts of the lake, surpassing limits set by the World Health Organisation. Microbiome analysis revealed the largest phylum across sample sites as Proteobacteria, Firmicutes, and Planctomycetota with peak relative abundance values of 64.13%, 45.29% and 16.11% respectively. Bacterial genera such as Exiguobacterium, Methylocystis and Rhodoferax were detected from designated sites. The presence of these genera capable of tolerating, utilizing or degrading metal ions in water samples of the Lake might be indicative of chemical and metal trickles into the water body. In addition, relatively new and understudied bacterial phyla such as Gemmatimonadota, as well as unknown bacterial clades were identified from water samples of the lake. This study has revealed that Lake Tunari is not impervious to pollution, caused by either anthropogenic activities or from adjoining water channels. Environmental health awareness programs can be introduced to enlighten the populace, while scheduled microbial and physicochemical surveillance can be adopted, to control microbial contamination and curtail toxic material inflow into the Lake.

Arterial oxygen pressure during veno-venous extracorporeal membrane oxygenation may be increased by advancing the tip of the drainage cannula into the superior vena cava: a case report.

A simple and robust method for veno-venous extracorporeal membrane oxygenation (V-V ECMO) involves a drainage cannula into the inferior vena cava via the femoral vein (FV) and a reinfusion cannula into the right atrium (RA) via the internal jugular vein (IJV) (F-J configuration). However, with this method, the arterial oxygen (PaO2) is said to remain below 100mmHg.Since recently, in our ICU, to prevent drainage failure, we apply a modification from the commonly practiced F-J configuration by advancing the tip of the drainage cannula inserted via the FV into the superior vena cava (SVC) and crossing the reinfusion cannula inserted via the IJV in the RA (F(SVC)-J(RA) configuration). We experienced that this modification can be associated with unexpectedly high PaO2 values, which here we investigated in detail.Veno-arteriovenous ECMO was induced in a 65-year-old male patient who suffered from repeated cardiac arrest due to acute respiratory distress syndrome. His chest X-ray images showed white-out after lung rest setting, consistent with near-absence of self-lung ventilation. Cardiac function recovered and the system was converted to F(SVC)-J(RA) configuration, after which both PaO2 and partial pressure of pulmonary arterial oxygen values remained high above 200mmHg. Transesophageal echocardiography could not detect right-to-left shunt, and more efficient drainage of the native venous return flow compared to common F-J configuration may explain the increased PaO2.Although the F(SVC)-J(RA) configuration is a small modification of the F-J configuration, it seems to provide a revolutionary improvement in the ECMO field by combining robustness/simplicity with high PaO2 values.

Item performance of the scale for the assessment and rating of ataxia in rare and ultra-rare genetic ataxias.

The Scale for the Assessment and Rating of Ataxia (SARA) is widely used for assessing the severity and progression of genetic cerebellar ataxias. SARA is now considered a primary end point in several ataxia treatment trials, but its underlying composite item measurement model has not yet been tested. This work aimed to evaluate the composite properties of SARA and its items using item response theory (IRT) and to demonstrate its applicability across even ultra-rare genetic ataxias. Leveraging SARA subscores data from 1932 visits from 990 patients of the Autosomal Recessive Cerebellar Ataxias (ARCA) registry, we assessed the performance of SARA using IRT methodology. The item characteristics were evaluated over the ataxia severity range of the entire ataxia population as well as the assessment validity across 115 genetic ARCA subpopulations. A unidimensional IRT model was able to describe SARA item data, indicating that SARA captures one single latent variable. All items had high discrimination values (1.5-2.9) indicating the effectiveness of the SARA in differentiating between subjects with different disease statuses. Each item contributed between 7% and 28% of the total assessment informativeness. There was no evidence for differences between the 115 genetic ARCA subpopulations in SARA applicability. These results show the good discrimination ability of SARA with all of its items adding informational value. The IRT framework provides a thorough description of SARA on the item level, and facilitates its utilization as a clinical outcome assessment in upcoming longitudinal natural history or treatment trials, across a large number of ataxias, including ultra-rare ones.

Inadequacy of Meals Served and Food Waste in a Portuguese University Canteen

This study aims to evaluate food waste and the adequacy of portions served in a Portuguese university canteen. The sample included 10278 meals. Portions served and food waste (plate waste and leftovers) were measured through physical weighing. Portion inadequacy was determined, considering the Dietary Reference Values proposed by the European Food Safety Authority. The portions of all meal components served were inadequate. Meat, fish, salads and vegetables were those in the most inadequate portions (p &lt; 0.001), with the quantities of meat and fish served being well above the recommended level (+77%) and the quantities of salad and vegetables below the recommended level (−37.7%). During the study period, 1253.6 kg of food was wasted, representing a daily average of 65.9 kg of food waste (20.8%). It was estimated that 126.6 g of food was wasted per consumer per day. Salads and vegetables represented the food category with high food waste values (41.4%), mainly from plate waste (29.6%). Our findings show an inadequacy in terms of the portions served for all meal components. High food waste values were found, for vegetable soup, vegetables, salads and fruit; these were the items most rejected by consumers, compromising the achievement of nutritional goals for the lunches served in the university canteen.

Pelatihan dan Pendampingan Pembuatan Briket Batok Kelapa yang Ramah Lingkungan dalam Rangka Pengembangan Ekonomi Kreatif di Kelurahan Samaenre

This community service aims to develop the creative economy in Samaenre Village through the use of organic waste in the form of coconut shells. The problem found was the large amount of coconut shell waste and the lack of knowledge and skills of the community in utilizing the waste into goods of high economic value. The choice of this topic is based on the importance of supporting economic growth through utilizing local resource potential. The results of this activity show that providing training and assistance in making coconut shell briquettes is able to increase public awareness about the potential of local resources, create new business ideas or business opportunities in that place, and can preserve the environment. In conclusion, this community service highlights the importance of exploring your potential and taking advantage of existing opportunities. By strengthening the understanding of awareness regarding utilization concerns in the surrounding environment, we will be able to advance the wheels of the local economy.

Monitoring of Low Chl-a Concentration in Hulun Lake Based on Fusion of Remote Sensing Satellite and Ground Observation Data

China’s northern Hulun Lake is a significant body of water internationally. The issue of eutrophication has gained prominence in recent years. The achievement of precise chlorophyll-a (Chl-a) monitoring is crucial for safeguarding Hulun Lake’s ecosystem. The machine learning-based remote sensing inversion method has been shown to be effective in capturing the intricate relationship between independent and dependent variables; however, it lacks a priori knowledge and is limited by the quality of remote sensing data sources. The relationship between independent and dependent variables can be more accurately simulated with the use of suitable auxiliary variables. Therefore, three machine learning models—random forest (RF), adaptive boosting (AdaBoost), and extreme gradient boosting (XGBoost)—were established in this study using meteorological observation parameters as auxiliary variables combined with Sentinel-2 satellite image remote sensing band combinations as independent variables and measured Chl-a data as dependent variables. The estimation effects before and after the fusion of meteorological ground observation data were compared, and the best model was used to estimate the spatial–temporal variation trend of Chl-a in the regional water body. The results show that (1) the addition of meteorological parameters as auxiliary variables improved the precision of the three machine models; the decision coefficient (R2) rose by 7.25%, 5.71%, and 7.20%, respectively, to 0.76, 0.66, and 0.73. (2) The concentration of Chl-a in the lake region was projected from June to October 2019 to October 2021 using the RF optimal estimating model of meteorological fusion. The northeast, southwest, and south of the lake were where the comparatively high concentration values of Chl-a were located, whereas the lake’s center had a generally low concentration of the substance. Chromatically, Chl-a typically peaked in August after initially increasing and then declining. (3) The three rivers that feed into the river have varying levels of water pollution, with chemical oxygen demand (COD) and total nitrogen (TN) pollution being the most severe. This is what primarily caused the higher levels of Chl-a in the northeast, southwest, and south. This study is crucial for the preservation and restoration of Hulun Lake’s natural ecosystem and offers some technical support for the monitoring of the lake’s concentration of Chl-a.

Genome assembly of the rare and endangered Grantham’s camellia, Camellia granthamiana

Grantham’s camellia (Camellia granthamiana Sealy) is a rare and endangered tea species discovered in Hong Kong in 1955 and endemic to southern China. Despite its high conservation value, the genomic resources of C. granthamiana are limited. Here, we present a chromosome-scale draft genome of the tetraploid C. granthamiana (2n = 4x = 60), combining PacBio long-read sequencing and Omni-C data. The assembled genome size is ∼2.4 Gb, with most sequences anchored to 15 pseudochromosomes resembling a monoploid genome. The genome has high contiguity, with a scaffold N50 of 139.7 Mb, and high completeness (97.8% BUSCO score). Our gene model prediction resulted in 68,032 protein-coding genes (BUSCO score of 90.9%). We annotated 1.65 Gb of repeat content (68.48% of the genome). Our Grantham’s camellia genome assembly is a valuable resource for investigating Grantham’s camellia’s biology, ecology, and phylogenomic relationships with other Camellia species, and provides a foundation for further conservation measures.