Analysis Of Quantitative Parameters Research Articles

Baseline estimation using optimized asymmetric least squares (O-ALS)

Baseline drift widely exists in the spectral measurements due to instrumental nonlinearity. It negatively affects the qualitative or quantitative analysis of chemical and physical parameters, thus, an accurate baseline estimation is needed. An improved algorithm, optimized asymmetric least squares smoothing (O-ALS), is designed based on the traditional ALS algorithm to achieve effective estimation. First, an appropriate smooth factor is selected according to the number of second-order concave points (NSCP) of a measured spectrum. Then, the asymmetric penalty factor is adaptively optimized in each iteration based on the differences between the estimated baseline and the measured spectrum. Various simulated and real measured data, including Fourier Transform Spectrometer spectrum, chromatogram, and ion mobility spectroscopy, have been used for evaluation. All results achieve a high precision, which suggests that our algorithm is effective, flexible, and robust.

Water loss and shrinkage prediction in 3D printed concrete with varying w/c and specimen sizes

In 3D printed concrete (3DPC), the absence of formwork leads to increased shrinkage compared to traditional cast concrete which uses formwork. This increase in shrinkage is primarily due to the rapid evaporation of moisture during the early stages. Therefore, our research focused on how the initial water content and the exposed surface area affect the total shrinkage by varying water-to-cement ratio (w/c) and the surface-to-volume ratio (s/v). For 3DPC with high w/c, we used calcium formate (CaF) to improve its printability by increasing static yield stress. Dry environment makes the evaporation the predominant mode of water loss, significantly decelerating the hydration process in samples with fully exposed surfaces. At 28 d, the evaporated moisture in 3DPC is 2.8 times higher than the moisture consumed by hydration. A predictive model for the shrinkage properties of 3DPC has been developed by considering that 3DPC experiences both hydration and evaporation simultaneously from early stages on the basis of the water mass conservation principle. The predictions were found to align with actual shrinkage test results, as evidenced by quantitative analysis of parameters like internal RH, mass loss, degree of hydration, and porosity, thus validating the accuracy of the model.

Histogram analysis of MR quantitative parameters: are they correlated with prognostic factors in prostate cancer?

To investigate the correlation between quantitative MR parameters and prognostic factors in prostate cancer (PCa). A total of 186 patients with pathologically confirmed PCa who underwent preoperative multiparametric MRI (mpMRI), including synthetic MRI (SyMRI), were enrolled from two medical centers. The histogram metrics of SyMRI [T1, T2, proton density (PD)] and apparent diffusion coefficient (ADC) values were extracted. The Mann‒Whitney U test or Student's t test was employed to determine the association between these histogram features and the prognostically relevant factors. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the differentiation performance. Spearman's rank correlation coefficients were calculated to determine the correlations between histogram parameters and the International Society of Urological Pathology (ISUP) grade group as well as pathological T stage. Significant correlations were found between the histogram parameters and the ISUP grade as well as pathological T stage of PCa. Among these histogram parameters, ADC_minimum had the strongest correlation with the ISUP grade (r = -0.481, p<0.001), and ADC_Median showed the strongest association with pathological T stage (r = -0.285, p=0.008). The ADC_10th percentile exhibited the highest performance in identifying clinically significant prostate cancer (csPCa) (AUC 0.833; 95% CI 0.771-0.883). When discriminating between the status of different prognostically relevant factors, a significant difference was observed between extraprostatic extension-positive and -negative cancers with regard to histogram parameters of the ADC map (10th percentile, 90th percentile, mean, median, minimum) and T1 map (minimum) (p=0.002-0.032). Moreover, histogram parameters of the ADC map (90th percentile, maximum, mean, median), T2 map (10th percentile, median), and PD map (10th percentile, median) were significantly lower in PCa with perineural invasion (p=0.009-0.049). The T2 values were significantly lower in patients with seminal vesicle invasion (minimum, p=0.036) and positive surgical margin (10th percentile, 90th percentile, mean, median, and minimum, p=0.015-0.025). Quantitative histogram parameters derived from synthetic MRI and ADC maps may have great potential for predicting the prognostic features of PCa.

Optimization of irrigation period improves wheat yield by regulating source-sink relationship under water deficit

The optimization of irrigation scheduling presents an effective methodology for augmenting crop yields and enhancing water utilization efficiency. Nonetheless, a comprehensive understanding of the intricate mechanisms through which this strategy influences crop growth and yield formation is yet to be fully understood. In this study, a field experiment was conducted during the winter wheat cultivation period from 2018 to 2020 on two wheat cultivars: JM418, known for its drought tolerance, and SX828, known for its drought sensitivity. These treatments were subjected to four distinct irrigation schedules and two sowing stages. The timing of irrigation was specifically designed to coincide with the visibility of the 3rd, 4th, 5th, and 6th leaves for normal and postponed sowing. Our findings revealed that commencing irrigation at the stage when the 4th leaf becomes visible serves as an advantageous strategy for deficit irrigation. This approach significantly amplified winter wheat yield by 6.96–54.09 % and improved water use efficiency by 9.88–47.62 %. Quantitative analysis of source ability parameters demonstrated that postponed irrigation adversely affected the mean leaf area index (MLAI), total leaf area duration (TLAD), and biomass at maturity (BAM). Furthermore, an increase in mean net assimilation rate (MEAR) and harvest index (HI) was noted during the delayed irrigation phase when the 4th leaf was visible. The highest spike count per hectare was observed when irrigation was executed at the 4th leaf visibility stage, with an average increase of 13.98 %. Conversely, with a postponed irrigation schedule, the mean count of grain number per spike decreased by 2.47, while the 1000-grain weight saw an increase of 1.65 g. Higher sink capacity was obtained with irrigation when the 3rd and 4th leaves were visible. Despite this, the grain-leaf ratios when irrigated at the 4th, 5th, and 6th leaf visibility stages were significantly higher than those irrigated at the 3rd leaf visibility stage. In conclusion, our findings elucidate that the irrigation strategy coinciding with the 4th leaf visibility stage exhibits superior grain yield and water use efficiency (WUE) stability. This can be attributed to the enhanced harvest index, effective spike number per unit area, and biomass accumulation. Concurrently, the number of grains per panicle and the 1000-grain weight were relatively balanced. Our research offers novel insights into the mechanism of source-sink regulation in crops under deficit irrigation conditions and lays the groundwork for the development of precise and efficient irrigation strategies.

Quantitative analysis of water quality parameters and their influence on the Pacific white shrimp (Litopenaeus vannamei) culture: A case study of Rancong mariculture area in Lhokseumawe, Aceh, Indonesia

Water quality is one of several aspects that affect the success of aquaculture business. This study analyzes water quality and assesses its impact on aquaculture enterprises in the Rancong pond region of Lhokseumawe City. The study ran from November to December 2018. The water quality of the Rancong pond was sampled directly and tested in multiple labs. The field survey and purposive sampling strategy separated the research location into four stations with three water sampling points. Temperature, salinity, turbidity, brightness, pH, dissolved oxygen, alkalinity, total organic matter, BOD5, total ammonia nitrogen, nitrite, nitrate, phosphate, lead (Pb), total Vibrio bacteria, total general bacteria, and phytoplankton types and abundance were measured. The suitability of water quality is assessed using descriptive analysis, scoring, and matching. The investigation indicates that the quality and maintenance of the source water are highly suitable (S1). Traditional vannamei shrimp ponds in Rancong, Lhokseumawe City, should be maintained as fisheries cultivation areas.

Plankton Diversity and Hydro-biological Parameters at Wazirabad Barrage in Yamuna River

This study conducted a comprehensive investigation into the qualitative and quantitative analysis of plankton diversity and Physico-chemical water quality parameters in the Yamuna River. Samples were collected from the Wazirabad barrage from June 2022 to November 2022, revealing a diverse phytoplankton community consisting of 50 genera distributed across five major classes. The abundant classes were Bacillariophyceae, with 18 genera, followed by Chlorophyceae with 20 genera, Cyanophyceae with 9 genera, Euglenophyceae with 2 genera, and Dianophyceae represented by a single genus. The qualitative analysis uncovered a zooplankton community with 20 genera from Protozoa and Rotifera, Copepoda, and Cladocera. Protozoa were represented by two genera, Copepods exhibited eight genera, Cladocera included five genera, and Rotifera featured four genera. The most abundant class of phytoplankton is Chlorophyceae and Zooplankton is Copepods. Physico chemical water quality parameters more fluctuation during the study period. These findings offer valuable insights into the biodiversity and composition of phytoplankton and zooplankton communities in the Wazirabad Barrage ecosystem.

Machine-learning approach for prediction and analysis of quantitative and qualitative parameters of binary polar liquids

Machine-learning approach for prediction and analysis of quantitative and qualitative parameters of binary polar liquids

The relationship between renal and retinal parameters in uncomplicated hypertension in middle-aged people

Background. Controlled arterial hypertension (HTN) does not mean complete regression of preclinical target organ damage. Objective. To study the relationship between indicators characterizing the structural and functional state of the kidneys and retina in middle-aged patients with uncomplicated HTN, receiving combination antihypertensive therapy (AHT) and having office systolic (SBP) and diastolic (DBP) blood pressure levels &lt; 140 and &lt; 90 mmHg. Design and methods. We examined 87 patients (65 males and 22 females, average age 50,5 ± 4,87 years) with stage I and II HTN without clinically significant concomitant pathology taking double combined AHT (group average office level of SBP and DBP 134 ± 12,3 and 84 ± 14,5 mmHg, respectively). For at least the previous 12 months, patients had regularly received voluntary dual combination AHT based on pharmacological blockade of the renin-angiotensin-aldosterone system. HTN patients underwent a comprehensive assessment of the structural and functional state of the kidneys and fundus of the eye. To assess the relationships between biomarkers of kidney and retinal damage in the examined individuals within the entire set of studied parameters, correlation analysis and comparative analysis of the same quantitative (renal or retinal) indicators were used in subgroups of individuals divided according to a conditionally selected qualitative characteristic corresponding to the norm or deviation from the norm (value central retinal arterial equivalent (CRAE ≥ or &lt; 145 μm), central retinal venous equivalent (CRVE ≥ or &lt; 227 μm), albumin-creatinine ratio (ACR ≥ or &lt; 10 mg/g), foveal avascular zone area (FAZ ≥ or &lt; 0,36 mm²). Statistical processing of data was carried out using the Basic Statistics / Tables modules of the application package Statistica for Windows (version 12). The relationship between quantitative renal and retinal indicators was studied using the Pearson r correlation coefficient. Comparative analysis of quantitative parameters within the examined group, conditionally subdivided according to a certain qualitative criterion, was performed using the nonparametric Mann-Whitney U-test. Results. CRVE values directly correlated with ACR (r = 0,30; p = 0,037), FAZ area — with ACR (r = 0,40; p = 0,005), subfoveal choroidal thickness (SCT) — with estimated glomerular filtration rate (eGFR) (r = 0,45; p = 0,001); CRAE values inversely correlated with serum urea (r = –0,34; p = 0,019), SCT — with serum creatinine (r = –0,36; p = 0,011). Patients with ACR ≥ 10 mg/g compared with patients with ACR &lt; 10 mg/g were characterized by significantly lower values of the retinal arteriovenous ratio (0,646 ± 0,09 and 0,689 ± 0,08, respectively, p = 0,016). Patients with FAZ area ≥ 0,36 mm² compared with those with FAZ area &lt; 0,36 mm² had higher proteinuria values (0,101 ± 0,13 and 0,075 ± 0,14 mg/g, respectively, p = 0,01). Conclusions. Middle-aged patients with uncomplicated HTN without clinically significant concomitant pathology, receiving double combined AHT, demonstrate significant associations of indicators characterizing the structural and functional state of the kidneys and retinal microcirculation in terms of their preclinical damage.

Wykorzystanie ilościowych wskaźników form strukturalnych do geologicznego i statystycznego modelowania struktur o złożonej budowie

Computer processing of geological data is widely used to process geological information. Therefore, an assessment of the structures as potential reservoir traps for oil and gas was carried out on the basis of quantitative parameter analysis. This approach made it possible to reasonably confirm certain regularities. To identify these regularities in the relationships between the numerical parameters of complex structures, computer geological and statistical modeling of the studied objects of the Boryslav-Pokuttya zone was carried out using correlation and cluster analysis. In general, correlation analysis allows analyzing the set of determined values and is aimed at identifying and studying the systems that form some values included in this set. Classification of any objects by meaningful groups is carried out by the method of cluster analysis. To model the processes that formed local structures and to determine the patterns of their spread, a large volume of quantitative indicators was processed. On the basis of quantitative indicators, it was possible to evaluate the results of studies of the tectonic stresses and deformations distribution, which will contribute to more reliable determination of reservoir potential for oil and gas. In turn, this will significantly increase the geological effectiveness of oil and gas exploration in the Boryslav-Pokuttya area. The contemporary form of structures and their spatial arrangement result from the long-termimpact of tectonic forces over geological time. Different manifestations of tectonic activity in successive geological epochs leads to specific changes in the structural plan of geological formations, influencing the potential oil and gas content within them (formation, unforming, and re-forming of traps and, accordingly, hydrocarbon reservoirs). The structures of the Boryslav-Pokuttya zone have undergone a complex and lengthy formation process: from the formation of flysch folds to very complex structural forms. This complexity is contributed to the influence of the magnitude and nature of the tectonic forces. The morphological diversity of the structures, can be described by numerical parameters, which can be used as a basis for classifying these structures in the Boryslav-Pokuttya zone.

Establishment of nonobstructive coronary microcirculatory disorders in rabbits using three established methods and a comparative study

To compare the merits and drawbacks of three approaches for establishing a rabbit model of nonobstructive coronary microcirculatory disease, namely, open thoracic subtotal ligation of coronary arteries, ultrasound-guided cardiac microsphere injection, and sodium laurate injection. New Zealand rabbits were allocated to four groups: a normal group (Blank group), an Open-chest group (Open-chest), a microsphere group (Echo-M), and a sodium laurate group (Echo-SL), each comprising 10 rabbits. The rabbits were sacrificed 24 h after the procedures, and their echocardiography, stress myocardial contrast echocardiography, pathology, and surgical times were compared. The results demonstrated varying degrees of reduced cardiac function in all three experimental groups, the Open-chest group exhibiting the most significant decline. The myocardial filling in the affected areas was visually analyzed by myocardial contrast echocardiography, revealing sparse filling at rest but more after stress. Quantitative analysis of perfusion parameters (β, A, MBF) in the affected myocardium showed reduced values, the Open-chest group having the most severe reductions. No differences were observed in stress myocardial acoustic imaging parameters between the Echo-M and Echo-SL groups. Among the pathological presentations, the Open-chest model predominantly exhibited localized ischemia, while the Echo-M model was characterized by mechanical physical embolism, and the Echo-SL model displayed in situ thrombosis as the primary pathological feature. Inflammatory responses and collagen deposition were observed in all groups, with the severity ranking of Open-chest > Echo-SL > Echo-M. The ultrasound-guided intracardiac injection method used in this experiment outperformed open-chest surgery in terms of procedural efficiency, invasiveness, and maneuverability. This study not only optimizes established cardiac injection techniques but also offers valuable evidence to support clinical investigations through a comparison of various modeling methods.

ПРОГНОЗНЫЕ ПАРАМЕТРЫ РЕЗУЛЬТАТИВНОСТИ УПРАВЛЕНИЯ ЦИФРОВОЙ ТРАНСФОРМАЦИЕЙ ЭКОНОМИЧЕСКИХ БИЗНЕС-СИСТЕМ

The article presents a mathematical apparatus for predicting the effectiveness of managing the digital transformation of economic business systems. The methodological basis of the study is an adapted version of the KNN (k-Nearest Neighbors) method or the random forest method when working with a large amount of data. The proposed approach allows us to determine the type of digitalization of the business ecosystem (strong, medium-strong, etc.). Particular attention is paid to the applicability of the KNN method for predicting digital transformation management parameters. The stages of implementation of the method are presented, starting from collecting initial data and ending with assessing the quality of the model using the RMSE (Root Mean Square Error) or R-square metrics. The possibilities of using the algorithm are described using specific examples, including determining the optimal number of nearest neighbors (k) and choosing a distance metric. The analysis is performed on the basis of a multidimensional feature space in which the distance between objects is measured using the Euclidean metric. The algorithm for dividing data into training and test samples, as well as the computational aspects of applying the method, including program code in Python using the scikit-learn, NumPy and SciPy libraries, are discussed in detail. The study has practical significance for specialists in the field of digital transformation management, providing tools for qualitative and quantitative analysis of management parameters and making informed decisions.

Analysis of the effect of grouting parameters on pile-soil interaction of grouted piles

Reasonable control of grouting parameters was the key to improving the pile-soil interaction. However, quantitative analysis on the effect of grouting parameters on the pile-soil interaction was still lacking. This article developed an intelligent post-grouting system for precise control and quantitative analysis of grouting parameters. The conventional preparation method for shear tests were improved in this article. By changing the normal stress of the pile-soil interface during grouting, the test sample could simulate the grout distribution of the pile-soil interface at different depths. Through the improved experimental methods, a more accurate analysis of the mechanism for the pile-soil interaction was achieved. And the effectiveness of the intelligent post-grouting system was further verified by the case application. The results indicated that increasing the grout volume could improve the interface shear strength when the normal stress and grouting pressure were constant. This improvement effect caused by increasing grout volume decreased when the normal stress was high. Increasing the grouting pressure increased the interface shear strength when the normal stress and the grout volume remained constant. This improvement effect caused by increasing grouting pressure decreased when the grout volume was small. By appropriately controlling the two grouting parameters, the cohesion and the shear strength of the pile-soil interface were increased by 5.8–18.8 times and 1.16–2.91 times, respectively. The results indicated that the intelligent post-grouting system could accurately control the grouting parameters and effectively improve the pile-soil interaction of bored piles. The intelligent post-grouting system effectively reduced geotechnical engineering risks and improved the bearing capacity of pile.

An acupuncture manipulation classification system based on three-axis attitude sensor and computer vision.

To explore the action characteristics of acupuncture manipulations by combining visual and sensor technique, so as to improve the identification and classification accuracy of acupuncture manipulations and to quantificate the classifiations. In this paper, the time domain features of acupuncture physical parameters and dynamic gesture features in the video of acupuncture manipulations are combined together to identify and classify acupuncture techniques. The acupuncture needle manipulation processes of 2 acupuncture experts and 3 young acupuncturists were selected as the study objects. The collected data included 4 basic manipulation techniques：lifting-thrusting reinforcing, lifting- thrusting reducing, twisting reinforcing and twisting reducing methods, all of which were performed by right-handed doctors. During acupuncture manipulation, a three-axis attitude sensor was used to acquire finger moving acceleration velocity and needle-rotating angle velocity, followed by analyzing the parameters of hand-moving velocity, amplitude, strength and angle. The mapping relationship among physical parameters and different manipulating methods was formed in time domain. The computer vision technology was employed to extract the spatio-temporal features of the acupuncture manipulation video images, and a hybrid model of three-dimensional convolutional neural network (3D CNN) and long- and short-term memory (LSTM) neural network were used for the recognition and classification of dynamic gestures of hand in acupuncture manipulation videos. Then the time-domain features of physical parameters were combined with the dynamic gestures in the classification process, with the manipulation classification realized. In performing the lift-thrusting reinforcing method, the needle insertion speed was faster and the force was larger, while the needle lifting speed was slower and the force was smaller. And in performing the lift-thrusting reducing method, the needle lifting speed was faster, the force was stronger, and the needle insertion speed was slower and the force was smaller. In the performance of twisting reinforcing, the leftward twisting force was bigger and the rotation amplitude was larger, while in performing the reducing method, the rightward twisting force was larger and the rotation amplitude was larger. When using the mean value of time of acceleration, speed, and amplitude as the basis of discrimination, the accuracy rates of lifting-thrusting reinforcing and reducing were 95.56% and 93.33%, while those of the two twisting manipulations were 95.56% and 91.11%, respectively. Compared with the classification method that only uses the sensor to obtain the manipulation information, the recognition accuracy was significantly improved. The acupuncture manipulation classification system can achieve quantitative analysis of physical parameters and dynamic recognition of acupuncture techniques, providing a certain foundation for the quantification and inheritance of acupuncture techniques.

Алгоритм оценки деформации плит перекрытий по пролетно-опорным схемам здания

Planning the supporting structures of a building is a problem of an extremely wide choice. At the same time, the estimation of one option by the finite element method takes too much time to apply automated and decision support tools. Therefore, it is proposed to identify a quickly calculated estimation of the supports plan which would allow comparing two support plans correctly in terms of potential deformations. To achieve this, the existing heuristic approaches modeling the functional relationship between the plan of supports and the resulting deformations were analyzed. In this paper spans are taken as the basis for the estimation. Further, the problem of spans determining is formulated which is reduced to the problem of the geometric coverage of multicoherent orthogonal polygon. The objective function is the maximization of the correlation between the detected estimate and the actual calculated values of deformations. To determine the spans on the floor area, a new algorithm based on the sweep line algorithm is proposed which consists of three steps: partitioning the floor area, determining the proximity of partitioned sections and assembling sections into spans. In order to determine the main estimate for a span-support topology, a single span estimation is derived based on three parameters: span area, aspect ratio and topology of supports that bound the span. Since the last parameter is qualitative, an additional analysis of quantitative parameters that can correctly describe it was carried out. The analysis criterion was the correlation with the calculated deformations in the span. The parameter of the maximum perimeter distance between the supports was recognized as the best parameter. The best function for estimating the spans was selected. In addition, various approaches to assembling spans from partition sections at the last step of the algorithm were analyzed.

Ames test study designs for nitrosamine mutagenicity testing: qualitative and quantitative analysis of key assay parameters.

The robust control of genotoxic N-nitrosamine (NA) impurities is an important safety consideration for the pharmaceutical industry, especially considering recent drug product withdrawals. NAs belong to the 'cohort of concern' list of genotoxic impurities (ICH M7) because of the mutagenic and carcinogenic potency of this chemical class. In addition, regulatory concerns exist regarding the capacity of the Ames test to predict the carcinogenic potential of NAs because of historically discordant results. The reasons postulated to explain these discordant data generally point to aspects of Ames test study design. These include vehicle solvent choice, liver S9 species, bacterial strain, compound concentration, and use of pre-incubation versus plate incorporation methods. Many of these concerns have their roots in historical data generated prior to the harmonization of Ames test guidelines. Therefore, we investigated various Ames test assay parameters and used qualitative analysis and quantitative benchmark dose modelling to identify which combinations provided the most sensitive conditions in terms of mutagenic potency. Two alkyl-nitrosamines, N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) were studied. NDMA and NDEA mutagenicity was readily detected in the Ames test and key assay parameters were identified that contributed to assay sensitivity rankings. The pre-incubation method (30-min incubation), appropriate vehicle (water or methanol), and hamster-induced liver S9, alongside Salmonella typhimurium strains TA100 and TA1535 and Escherichia coli strain WP2uvrA(pKM101) provide the most sensitive combination of assay parameters in terms of NDMA and NDEA mutagenic potency in the Ames test. Using these parameters and further quantitative benchmark dose modelling, we show that N-nitrosomethylethylamine (NMEA) is positive in Ames test and therefore should no longer be considered a historically discordant NA. The results presented herein define a sensitive Ames test design that can be deployed for the assessment of NAs to support robust impurity qualifications.

A systematic review and meta-analysis of the effect of art-based psychological distraction on school-aged children’s pain and anxiety during painful procedures

Abstract Aim. This study aimed to investigate whether arts-based interventions are effective in reducing the pain and anxiety of children during venipuncture. Material and methods. Our search involved 9 databases, including Cumulative Index to Nursing and Allied Health Literature, ScienceDirect, Scopus, MEDLINE, EMBASE via PsycINFO, LILACS, ERIC, Web of Science, Google Scholar, and Dissertation Abstracts International until 31 December 2021. Clinical trials in humans published in English randomized or non-randomized were the main criteria for eligibility. Results. We included five RCTs in our review and all were included in our meta-analysis. Quantitative analysis of different clinical parameters was described. In the art-based intervention compared with the control group in terms of reduction in pain mean deviation was -0.68; 95% confidence interval: -1.14, -0.22), whereas the art-based intervention compared with the control group in terms of anxiety reduction mean deviation: -0.78; 95% confidence interval: -1.47, -0.09) during venipuncture procedures. Conclusions. In this study, art-based interventions were found to be effective for children undergoing venipuncture. However, most studies have a high risk of bias and are of low quality, so the results cannot be generalized.

Variability of the Moroccan sweet chestnut (Castanea sativa Mill.): Contribution of the morphological parameters and qualitative descriptors of the nut

The areas occupied by the common chestnut tree, Castanea sativa Mill. are continuously declining on an international scale. In Morocco, the chestnut trees are present in a restricted geographical area in the North and remains relatively unknown in the rest of the kingdom. This study represents the first contribution to the characterization and the evaluation of phenotypic similarities among Moroccan populations of Castanea sativa Mill. through univariate and multivariate statistical analysis of quantitative parameters and qualitative descriptors of fruits. The analysis was conducted on 13,455 fruits from 299 trees distributed across 31 populations from three regions. Ten qualitative descriptors were evaluated: nut shape (NSh), nut size (NSz), area of pubescence on upper part (AP), area of hilum (AH), shape of border line of hilum and pericarp (BSh), color of skin (CSk), glossiness (Gl), kernel color (CKr), coat adherence to kernel (CoA), and kernel inner-cavity (KC). In addition, the number of fruits/cupule (N/B), the number of fruits/kilo (N/K), and the average weight of fruits (W) were measured along with 11 quantitative parameters: nut length (NL), nut width (NW), nut thickness (NT), hilum length (HL), hilum width (HW), NL/NW, NT/NL, NT/NW, NW/HL, HW/NT, and HW/HL. The results of statistical analysis conducted on the 24 quantitative and qualitative parameters studied (ANOVA and SNK mean comparison test) demonstrated a very highly significant intra and inter-population variability for all the studied parameters. The correlation matrix analysis of the 12 quantitative parameters reveals a strong correlation between the fruit and hilum measurements, specifically NL, NW, NT, HW, and HL. Principal Component Analysis (PCA) and UPGMA analyses have shown the structuring of the 31 populations subdivided into two groups with subgroups, indicating significant diversity. The overall results highlighted a high genotypic variability of Moroccan populations of the chestnut trees and can be used to develop programs that aim to preserve the existing genetic variability of the chestnut tree and establish an in-situ collection of genetic resources in a geographically restricted area in the North of Morocco.

Gait Domains May Be Used as an Auxiliary Diagnostic Index for Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with cognitive dysfunction and behavioral impairment. We aimed to use principal components factor analysis to explore the association between gait domains and AD under single and dual-task gait assessments. A total of 41 AD participants and 41 healthy control (HC) participants were enrolled in our study. Gait parameters were measured using the JiBuEn® gait analysis system. The principal component method was used to conduct an orthogonal maximum variance rotation factor analysis of quantitative gait parameters. Multiple logistic regression was used to adjust for potential confounding or risk factors. Based on the factor analysis, three domains of gait performance were identified both in the free walk and counting backward assessments: "rhythm" domain, "pace" domain and "variability" domain. Compared with HC, we found that the pace factor was independently associated with AD in two gait assessments; the variability factor was independently associated with AD only in the counting backwards assessment; and a statistical difference still remained after adjusting for age, sex and education levels. Our findings indicate that gait domains may be used as an auxiliary diagnostic index for Alzheimer's disease.

Congenital myasthenic syndromes: a retrospective natural history study of respiratory outcomes in a single centre.

Respiratory problems are a major cause of morbidity and mortality in patients with congenital myasthenic syndromes, a rare heterogeneous group of neuromuscular disorders caused by genetic defects impacting the structure and function of the neuromuscular junction. Recurrent, life-threatening episodic apnoea in early infancy and childhood and progressive respiratory failure requiring ventilation are features of certain genotypes of congenital myasthenic syndromes. Robb et al. published empirical guidance on respiratory management of the congenital myasthenic syndromes, but other than this workshop report, there are little published longitudinal natural history data on respiratory outcomes of these disorders. We report a retrospective, single-centre study on respiratory outcomes in a cohort of 40 well characterized genetically confirmed cases of congenital myasthenic syndromes, including 10 distinct subtypes (DOK7, COLQ, RAPSN, CHAT, CHRNA1, CHRNG, COL13A1, CHRNE, CHRNE fast channel syndrome and CHRNA1 slow channel syndrome), with many followed up over 20 years in our centre. A quantitative and longitudinal analysis of key spirometry and sleep study parameters, as well as a description of historical hospital admissions for respiratory decompensation, provides a snapshot of the respiratory trajectory of congenital myasthenic syndrome patients based on genotype.

Types and sedimentary genesis of barriers and interlayers in the composite turbidite sand bodies of a deep-water canyon: A case study of the Central Canyon in the Qiongdongnan Basin

Deep-water oil and gas is currently the hot spot and difficulty of global oil and gas exploration, and the complex flow process inside the turbidite channels of deep-water canyons makes it difficult to characterize reservoir structures, identify barriers and interlayers and clarify the spatial distribution laws of reservoirs, which restricts the development of deep-water oil and gas. Taking the Central Canyon of the Qiongdongnan Basin as an example, this paper identifies and characterizes the barriers and interlayers of composite channel scale by means of seismic sedimentology, based on three-dimensional seismic and core data. Then, based on the turbidite filling process, barriers and interlayers are classified, and their genesis and control factors are analyzed. Finally, a development model of deep-water barriers and interlayers is established based on the quantitative analysis of sediment transportation system parameters. And the following research results are obtained. First, based on sedimentary genesis, barriers and interlayers are classified into four types, namely mudstone interlayers of lateral (aggradational) turbidite channel genesis (type A), mudstone interlayers of fine-grained turbidite channel genesis (type B), barriers of hemipelagic deep-water sediment genesis (type C), and calcareous petrophysical interlayers (type D). Second, based on the filling stage, barriers and interlayers are divided into four combination sequences, i.e., the initial canyon formation stage with strong sediment supply conditions (type A + type C and type B+ type C), the initial canyon formation stage with weak sediment supply conditions (type B + type C), the stable canyon development/late reworking stage with strong sediment supply conditions (types A + type D), and the stable canyon development/late reworking stage with weak sediment supply conditions (type D). Third, the development types and combination sequences of barriers and interlayers are controlled by the change of sediment transportation volume and terrain slope in the canyon. In the initial canyon formation stage, there is sufficient space for the development of turbidite, and the development of thin barriers and interlayers is controlled by sediment dischage volume, while the development of thick barriers and interlayers is controlled by terrain slope change. In the stable canyon development/late reworking stage, turbidite undergoes superimposed development and overbank. The sediment supply is the primary control factor of barrier and interlayer thickness, and the terrain slope change is the secondary factor. In conclusion, the development model of barriers and interlayers can be used to describe and predict the reservoir structure models under the same sedimentary background and provides a technical support for the exploration and development of deep-water oil and gas.