Insight into endoplasmic reticulum-mitochondria contacts in human amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis(ALS) is a fastprogressing fatal neurodegenerative disease and the most common form of motor neuron disease.There is currently no cure and approximately 90% of cases are sporadic.ALS shares genetic causes,clinical and neuropathological features with frontotemporal dementia,the second most common form of presenile dementia.ALS and frontotemporal dementia are therefore considered a disease spectrum(Abramzon et al.,2020).

Microbiological and Physico-Chemical Analysis of the Waters of the “Mamouwol” Stream in the Urban District of Mamou (Republic of Guinea)

Water is essential to life and to the sustainable socio-economic development of a nation, It is therefore interesting to have a better knowledge of the quality of this water. The aim was to determine the degree of microbiological and physico-chemical pollution of the water of the “Mamouwol” river in the town of Mamou. To do this, we chose four (4) sampling sites spread throughout the town of Mamou. During the month of March (2024), 4 water samples were analyzed to monitor the water quality of this river. The average values of the flora analyzed show that these water are heavily contaminated with bacteria indicative of fecal and metal pollution. This study showed that sites: Mam4;Mam2 and Mam1 contain the highest loads, with Total Coliform counts ranging from 1534 CFU/100 ml to 2100 CFU/100 ml, the number of faecal coliforms varies between 526 and 1240 CFU/100 ml, and that of faecal streptococci between 526 and 841 CFU/100 ml. Metal content, BOD5 and COD all comply with the laboratory’s analysis criteria, although they vary from point to point.

Sensors Applied to Plant Breeding: Leaf Reflectance Indices (LRIs) and Resistance to Anthracnose in Capsicum annuum L. var. annuum

The present work investigated the efficiency of leaf reflectance indices in the identification of Capsicum annuum L. var. annuum resistant to anthracnose in the fruit. Twenty-five F5:6 families originating from contrasting parents were assessed;the parents were accession UENF 2285 (susceptible to anthracnose) and accession UENF 1381, a hot pepper resistant to anthracnose in the fruit. The experiment was carried out in an experimental field in Campos dos Goytacazes, Rio de Janeiro, Brazil, between May and October of 2021. The treatments were arranged in a randomized block design, with three replications and five plants per plot. Fifteen LRIs were estimated using a CI-710 portable mini leaf spectrometer. The assessments covered all plant growth after flowering, and a total of six assessments were performed at 15-days intervals, beginning at 35 and ending 120 days after flowering (DAFs). Analysis of variance in a split-plot scheme was performed, as were tests of mean groupings and principal components analysis (PCA). The best period for evaluating leaf reflectance indices in C. annuum var. annuum is 120 days after flowering. The leaf reflectance indices PRI, CNDVI and Ctr2 stood out as effective in distinguishing between resistant and susceptible genotypes.

A Novel Ensemble Learning System for Cyberattack Classification

Nowadays,IT systems rely mainly on artificial intelligence(AI)algorithms to process data.AI is generally used to extract knowledge from stored information and,depending on the nature of data,it may be necessary to apply different AI algorithms.In this article,a novel perspective on the use of AI to ensure the cybersecurity through the study of network traffic is presented.This is done through the construction of a two-stage cyberattack classification ensemble model addressing class imbalance following a one-vs-rest(OvR)approach.With the growing trend of cyberattacks,it is essential to implement techniques that ensure legitimate access to information.To address this issue,this work proposes a network traffic classification system for different categories based on several AI techniques.In the first task,binary models are generated to clearly differentiate each type of traffic from the rest.With binary models generated,an ensemble model is developed in two phases,which allows the separation of legitimate and illegitimate traffic(phase 1)while also identifying the type of illegitimate traffic(phase 2).In this way,the proposed system allows a complete multiclass classification of network traffic.The estimation of global performance is done using a modern dataset(UNSW-NB15),evaluated using two approaches and compared with other state-of-art works.Our proposal,based on the construction of a two-step model,reaches an F1 of 0.912 for the first level of binary classification and 0.7754 for the multiclass classification.These results show that the proposed system outperforms other state-of-the-art approaches(+0.75%and+3.54%for binary and multiclass classification,respectively)in terms of F1,as demon-strated through comparison together with other relevant classification metrics.

Pressure drop of structured packing in pilot column and comparison to common correlations

Packed columns are widely used in the chemical industry such as absorption,stripping,distillation,and extraction in the production of e.g.organic chemicals,and pharmaceuticals.Pressure loss and pressure drop correlations are of special interest when it comes to the hydrodynamic properties of a column.The pressure loss across the column is of interest in the design phase when the size of the blower to drive the gas stream through the column has to be decided.The loading point and flooding point are also influenced by the pressure loss and the area of operation is determined from these points.This work examines four different correlations on pressure drop.The correlations are(i)Ergun’s equation(1952),(ii)an improved version of Ergun’s equation by Stichlmair,Bravo,and Fair(1989),(iii)an equation developed by Billet and Schultes(1999),and(iv)an equation by Rocha,Bravo,and Fair(1993).The complexity of the correlations is increasing in the mentioned order,Ergun’s equation being the simplest one.This study investigates if the more complicated correlations give better predictions to pressure drop in packed columns.This is determined by comparing the correlations to experimental data for pressure drop in a packed column with 8.2 m of structured packing using water as the liquid and atmospheric air as the gas.Seven experiments were carried out for determining the pressure drop in the column with liquid flows varying from 0 to 500 kg·h^(-1).At constant liquid flow,the gas flow was varied from approximately 10 to 70 kg·h^(-1).The pressure drop across the non-wetted column was best described by the correlation by Rocha et al.while the pressure drop for liquid flows from 100 to 500 kg·h^(-1)was,in general,best described by Stichlmair’s equation.For an irrigated column,the highest deviation was a predicted pressure drop 69.6%lower than measured.The best prediction was 0.1%higher than the measured.This study shows,surprisingly,that for a system of water and atmospheric air,complicated correlations on pressure drop determination do not provide better estimates than simple equations.

Challenges in the Detection and Attribution of Northern Hemisphere Surface Temperature Trends Since 1850

Since 2007,the Intergovernmental Panel on Climate Change(IPCC)has heavily relied on the comparison between global climate model hindcasts and global surface temperature(ST)estimates for concluding that post-1950s global warming is mostly human-caused.In Connolly et al.,we cautioned that this approach to the detection and attribution of climate change was highly dependent on the choice of Total Solar Irradiance(TSI)and ST data sets.We compiled 16 TSI and five ST data sets and found by altering the choice of TSI or ST,one could(prematurely)conclude anything from the warming being“mostly human-caused”to“mostly natural.”Richardson and Benestad suggested our analysis was“erroneous”and“flawed”because we did not use a multilinear regression.They argued that applying a multilinear regression to one of the five ST series re-affirmed the IPCC's attribution statement.They also objected that many of the published TSI data sets were out-of-date.However,here we show that when applying multilinear regression analysis to an expanded and updated data set of 27 TSI series,the original conclusions of Connolly et al.are confirmed for all five ST data sets.Therefore,it is still unclear whether the observed warming is mostly human-caused,mostly natural or some combination of both.

Evaluation of the Bacteriological Pollution of the Waters of the Lake of Sonfonia Commune of Ratoma (Republic of Guinea) 2021

The quality of surface waters is often altered by the presence of bacteria of faecal origin, as a result of untimely discharge of solid and liquid waste from households. The Sonfonia Lake located in the commune of Ratoma is under the influence of various forms of pollution resulting for the most part from anthropic activities. Field visits, interviews with resource persons and bacteriological analysis were carried out to assess the level of this pollution. Two water sampling campaigns were carried out during the low-water period and two others during the flood period of 2021. The comparison of the levels of faecal contamination bacteria in the present study with a previous one carried out in 2018 on the waters of the same lake, indicates an increase in the level of faecal coliforms and faecal streptococci that exceed the indicator values recommended by the WHO. These results show that Lake Sonfonia is polluted. This could be related to the increase in anthropogenic and demographic activities during the last four years. On the other hand, the analysis of the results showed the absence of pathogenic germs such as salmonella. The Mann-Whitney U statistical test was used to compare the value of the means of each of the variables observed during the two seasons.

Monitoring of the Physico-Chemical Parameters of the Waters of Lake Sonfonia,Municipality of Ratoma(Republic of Guinea)2021

As part of the determination of the possible impact of human activities on surface waters, case of Lake Sonfonia, six sampling sites were selected according to their solicitation by the population and their exposure to probable sources of pollution. The objective of this work is to monitor the physico-chemical quality of the waters of Lake Sonfonia during the low water level (March) and during the flood period (August) of the year 2021. Two sampling campaigns of water were carried out in dry weather and two others in cold weather. Parameters such as temperature, pH, EC (Electrical Conductivity), dissolved oxygen, TDS (Total Dissolved Solids) were measured in situ. Suspended matter, phosphate, nitrate, nitrite, sulphates, total iron, COD (Chemical Oxygen Demand) were measured in the laboratory by the colorimetric method. Stata 15 software was applied for the statistical analysis of the data and the correlation test between the parameters gave highly significant correlations. It has been noted that the situation is not very good and that this pollution comes mainly from human activities.

近40a来基于低分辨率遥感数据和GIS的全球城市时空变化研究

近几十年来,全球生态系统、气候和生物多样性已不同程度受到人口快速增长和城市持续扩张带来的负面影响.使用低分辨率遥感影像数据和GIS技术定量分析了近40a全球城市时空变化.世界数字化图(Digital Chart of the World,DCW)城市图层代表1960年至1970年的全球城市面积,利用MODIS影像数据、稳定夜间光数据和城市格网人口密度数据编制的全球土地覆盖数据城市图(GlobalLand Cover by National Mapping Organization,GLCNMO)代表2003年时的全球城市面积.计算了1960年和2003年全球城市的城市用地比重和年城市增长率指数,从区域尺度、国家尺度和单个城市尺度分析了全球城市扩展的时空变化过程.结果表明:在1960年代发达国家城市面积较大,而发展中国家城市面积小得多;到2003年发展中国家有相当大的变化,新增长的城市区域快速扩大.近40a来发展中国家城市区域发展速度远快于发达国家,与欧洲和北美国家相比,发展中国家城市结构更紧凑和密集.

基于DCW和GLCNMO数据的新疆绿洲城市时空变化特征分析

城市化是社会发展的必然过程。近年来,在新疆城市化发展进程中,城市用地明显向外扩张。本文使用低分辨率遥感影像数据和GIS技术,分别从宏观和中观尺度定量分析了新疆近40a来城市时空变化。利用DCW和GLCNMO数据分别计算了1960年和2003年新疆城市的城市用地比重和年城市增长率指数,从区域尺度和单个城市尺度分析了新疆城市扩张的时空变化过程。结果表明新疆城市结构体系不合理,城市等级规模差距较大;城市化进程存在明显的地域差异,北疆城市多,扩张强度大,南疆城市少,扩张强度较小;城市规模总体上不断扩大,外延式扩张明显,城市化进程正处于加速发展阶段。最后,本文在对新疆城市化进程分析的基础上,从科学构建城市体系,区域平衡角度着手,提出了未来新疆城市发展战略的一些对策和建议。

Mediterranean Berries as Inhibitors of Lipid Oxidation in Porcine Burger Patties Subjected to Cooking and Chilled Storage

The efifciency of extracts from Arbutus unedo L. （AU）, Crataegus monogyna L. （CM）, Rosa canina L. （RC）, and Rubus ulmifolius Schott. （RU） to inhibit lipid oxidation in raw, cooked and cooked and chilled （2°C/12 d） porcine burger patties, was investigated. The modiifcation of the fatty acid proifle during processing treatments （cooking and chilling）, the quantitative measurements of thiobarbituric acid reactive substances （TBA-RS）, and lipid-derived volatiles, were used as indicators of lipid oxidation. Polyunsaturated fatty acids （PUFA） gradually decreased during cooking and the subsequent storage of cooked burger patties with this decrease being signiifcantly greater （P〈0.05） in control patties than in those with added berry extracts. In accordance, the control patties showed signiifcantly higher TBA-RS numbers and counts of lipid-derived volatiles in all treatments when compared to the berry-added counterparts （P〈0.05）. Results from the present work show, for the ifrst time, that extracts from A. unedo, C. monogyna, R. canina, and R. ulmifolius are promising antioxidants which could enhance the nutritional, safety and sensory properties of porcine burger patties.

Potential of Zimbabwean commercial probiotic products and strains of Lactobacillus plantarum as prophylaxis and therapy against diarrhoea caused by Escherichia coli in children

Objective: To evaluate the potential of commercial fermented products sold in the country,and strains of Lactobacillus plantarum(L,plantarum)as prophylaxis and therapy against diarrhoea in children,Methods: The antimicrobial potential of cultures of lactobacilli enriched from 4 Zimbabwean commercial food/beverage products: Dairibord Lacto sour milk(DLSM),Probrand sour milk(PSM),Kefalos Vuka cheese(KVC) and Chibuku opaque beer(COB); and four strains of L,plantarum obtained from Balkan traditional cheeses against clinical strains of Escherichia coli(E,coli) was assayed using the well diffusion method,Three commercial paediatric antidiarrhoeal drug products: Biogaia(BG),Prolife(PL) and Probio Junior(PJ) and a mutant strain of E,coli [strain 11105(ATCC)- a vitamin B-12 auxotroph and penicillin G acylase-producing strain] were used as controls,An agar diffusion assay and a competitive exclusion assay were carried out on Mueller Hinton agar,Results: Crude cultures of putative lactobacillus strains obtained from Zimbabwean dairy products(Probrand sour milk,Kefalos Vuka vuka cheese and Chibuku opaque beer) had significantly higher antimicrobial activities against clinical strains of E,coli than strains of L,plantarum isolated from Balkan cheeses(CLP1,CLP2 or CLP3) and crude microbial cultures from commercial paediatric probiotic products(BG,PJ and PL) of a culture of Lactobacillus rhamnosus LGG(P<0.05),Conclusions: The putative Lactobacilli from four commercial Zimbabwean dairy products(Probrand sour milk,Kefalos Vuka vuka cheese and Chibuku opaque beer),and three strains of L,plantarum from Balkan cheeses(CLP1,CLP2 or CLP3) exhibited high antibacterial activities that can be harnessed to control paediatric diarrhoea that is caused by pathogenic strains of E,coli,Studies to characterise the probiotic potential of the live cultures in the products and the new strains of L,plantarum are underway.

基于遥感的乌鲁木齐市景观格局演变分析

以1990、1999和2010年的3期Landsat TM/ETM影像及数字高程图像(DEM)为数据源,综合利用RS、GIS技术与景观生态学的理论和研究方法,对乌鲁木齐市近20a间的景观格局变化及其各景观类型空间转化特点进行了分析。结果表明:随着时间的推移,研究区的景观格局发生了较大的变化,其建设用地和林地的增加及未利用地的减少较为明显,其他植被有减少的趋势,水体面积有所增加;城市景观类型转移变化上,5种景观类型相互之间转化频繁,其他植被和未利用地主要转化为建设用地。因地形条件的制约,城市以"T"字形轴向式扩展显著,各景观类型发生转换的空间主要位于城市的西北和东北地区。在景观类型水平上,建设用地景观的优势度增强、边界越来越复杂和聚集度呈增长;其他植被优势度下降,破碎化程度增加;水体景观形状较为规则,破碎化程度降低;未利用地破碎化程度加强,优势度和聚集程度下降。在景观水平上,城市景观整体破碎化程度增加,形状趋于复杂,景观异质性增强,表现出多样化和均匀化的发展趋势。

新疆皮山县绿洲需水量变化与绿洲稳定性

[目的]探讨和评价新疆地区皮山县在水资源供需平衡状况和水资源约束条件下的绿洲稳定性,为该区域生态环境保护提供决策支持与科学依据。[方法]基于1998—2012年Landsat TM/ETM+遥感影像数据和基础地理数据,在RS技术的支持下对皮山县绿洲进行了土地利用信息提取,结合水文和气象数据(气温、降水数据)估算皮山县绿洲15a来的社会经济和自然生态系统综合需水量,并在此基础上进行分析。[结果]皮山县绿洲渠系利用系数低,耕地灌溉定额高,耕地耗水比例大,且社会经济耗水量不断增加。15a间皮山县绿洲需水量增加了2.73×108 m3,现状供给量存在很大的缺口。2010年缺水总量到达2.74×108m3,虽然2012年缺水有所缓解,但自然生态环境缺水量增加,占到水资源总缺水量的59.75%,供需表现出很大的不平衡性。[结论]从现有的绿洲面积看,水资源供给量存在较大的缺口,绿洲已处于极不稳定状态。

Effects of Aerosol Vertical Inhomogeneity on the Upwelling Radiance and Satellite Remote Sensing of Surface Reflectance

There are two widely used radiative models without consideration of aerosol inhomogeneity for satellite remote sensing application, the Homogeneous Model and the Two-layer Model with aerosol in the lower layer. In this paper, effects of the aerosol vertical inhomogeneity on upwelling radiance and satellite remote sensing of surface reflectance are analyzed through numerical simulations by using two models. As shown in the simulations by using 24 representative aerosol models, there is often a considerably large error in upwel-ling radiance calculated by two models (Homogeneous and Two-layer) for the short wavelength channel with strong molecular scattering, owing to the difference between molecular and aerosol scattering proper-ties. For the long wavelength channel, the error is small if aerosol optical parameters are less variable with height, but it could also be significant if there are aerosol layers with different scattering phase functions and single scattering albedo. The radiance errors by the Homogeneous Model and the Two-layer Model can be up to 31.4% and 31.5% for the clean atmosphere, and in case of turbid atmosphere 67.8% and 59.2%, respectively. The radiance error could result in a large uncertainty of surface reflectance retrievals, especially for the short wavelength channel and the strongly absorbing aerosol. For the turbid atmosphere with strong-ly absorbing aerosol, the Homogeneous Model and the Two-layer Model are not suitable for atmospheric correction application. Key words Satellite remote sensing - Aerosol inhomogeneity - Surface reflectance - Radiance

Animal models used to study direct peripheral nerve repair: a systematic review

Objective:Peripheral nerve repair is required after traumatic injury.This common condition represents a major public health problem worldwide.Recovery after nerve repair depends on several factors,including the severity of the injury,the nerve involved,and the surgeon’s technical skills.Despite the precise microsurgical repair of nerve lesions,adequate functional recovery is not always achieved and,therefore,the regeneration process and surgical techniques are still being studied.Pre-clinical animal models are essential for this research and,for this reason,the focus of the present systematic review(according to the PRISMA statement)was to analyze the different animal models used in pre-clinical peripheral nerve repair studies.Data sources:Original articles,published in English from 2000 to 2018,were collected using the Web of Science,Scopus,and PubMed databases.Data selection:Only preclinical trials on direct nerve repair were included in this review.The articles were evaluated by the first two authors,in accordance with predefined data fields.Outcome measures:The primary outcomes included functional motor abilities,daily activity and regeneration rate.Secondary outcomes included coaptation technique and animal model.Results:This review yielded 267 articles,of which,after completion of the screening,49 studies were analyzed.There were 1425 animals in those 49 studies,being rats,mice,guinea pigs,rabbits,cats and dogs the different pre-clinical models.The nerves used were classified into three groups:head and neck(11),forelimb(8)and hindlimb(30).The techniques used to perform the coaptation were:microsuture(46),glue(12),laser(8)and mechanical(2).The follow-up examinations were histology(43),electrophysiological analysis(24)and behavioral observation(22).Conclusion:The most widely used animal model in the study of peripheral nerve repair is the rat.Other animal models are also used but the cost-benefit of the rat model provides several strengths over the others.Suture techniques are currently the first option for nerve repair,but the use of glues,lasers and bioengineering materials is increasing.Hence,further research in this field is required to improve clinical practice.

Effect of double-balloon enteroscopy on pancreas:An experimental porcine model

AIM： To evaluate the effect of double-balloon enteros- copy （DBE） on pancreas histology and levels of pancre- atic enzymes. METHODS： Conventional upper gastrointestinal endos- copy was performed on five control pigs. Oral DBE was performed with an EN-450T5 enteroscope on 20 pigs. Two experimental groups （10 pigs each） were defined according to DBE duration： 90 rain for Group 1 and 140 min for Group 2. During oral insertion, the balloons were not inflated in the descending part of the duodenum to avoid the minor duodenal papilla. Serum amy- lase, lipase and C-reactive protein （CRP） levels were monitored before the procedure and repeated every 30 min until the exploration was finished, as well as 24 h and 7 d after. After the procedure and for a total of 7 d, the pigs were observed twice a day for signs of de- creased activity, irritability, vomiting or anorexia. Gross and microscopic examination of the pancreas was per- formed on day 7. RESULTS： All animals tolerated DBE without clini- cal manifestations of acute pancreatitis. Experimental groups had higher levels of enzymes than the control group at 24 h. Throughout the exploration, the amylase levels increased significantly above the baseline 24 h after DBE, although the increase was not statistically significant and did not reach 20% of the baseline. An increase in lipase and CRP was observed at 24 h after the procedure, although by day 7, all enzymatic lev- els had returned to baseline. No differences between Groups 1 and 2 were found for any enzyme and sam- pling site during and after the procedure. Similarly, no correlation between insertion depth and enzyme levels was observed. Direct in situ and post-removal inspec- tion of the pancreas did not show any evidence of fluid collection, abscesses or hemorrhage. Histological examination of the pancreas from Groups 1 and 2 re- vealed the existence of focal areas （0.14-0.26 mm2） of ischemic necrosis in 47.4% of the animals. In the pigs with damaged pancreas, the left lobe （tail） was always affected. However, this only happened in 83.3% of the samples from the right lobe （head） and in 33.3% of the samples from the body of the pancreas. Significant differences were found between the left lobe （tail） and the body for the percentage of affected pancreas. Both the size of the lesions and the percentage of affected pancreas were higher in the left pancreatic lobe （tail）. The presence of the lesions was not related to the ex- ploration length.CONCLUSION： The increase in pancreatic enzymes after DBE could be related to focal points of pancreatic ischemic necrosis due to mechanical stress.

Interrelationship Analysis of L-Band Backscattering Intensity and Soil Dielectric Constant for Soil Moisture Retrieval Using PALSAR Data

The purpose of this paper is to study about the interrelationship between the backscattering intensity of PALSAR data and the laboratory measurement of dielectric constant and soil moisture. The characterization of the dielectric constant of arid soils in the 0.3 - 3 GHz frequency range, particularly focused in L-band was analyzed in varied soil moisture content and soil textures. The interrelationship between the relative dielectric constant with soil textures and backscattering of PALSAR data was also analyzed and statistical model was computed. In this study, after collecting the soil samples in the field from top soil (0 - 10 cm) in a homogeneous area then, the dielectric constant was measured using a dielectric probe tool kit. For investigated of the characteristics and behaviors of the dielectric constant and relationship with backscattering a variety of moisture content from 0% to 40% and soil fraction conditions was tested in laboratory condition. All data were analyzed by integrating it with other geophysical data in GIS, such as land cover and soil texture. Thus, the regression model computed between measured soil moisture and backscattering coefficient of PALSR data which were extracted as same point of each soil sample pixel. Finally, after completing the preprocessing, such as removing the speckle noise by averaging, the model was applied to the PALSAR data for retrieving the soil moisture map in arid region of Iran. The analysis of dielectric constant properties result has shown the soil texture after the moisture content has the largest effected on dielectric constant. In addition, the PALSAR data in dual polarization are also able to derive the soil moisture using statistical method. The dielectric constant and backscattering shown have the exponential relationship and the HV polarization mode is more sensitive than the HH mode to soil moisture and overestimated the soil moisture as well. The validation of result has shown the 4.2 Vol-% RMSE of soil moisture. It means that the backscattering analysis should consider about other factors such a surface roughness and mix pixel of vegetation effective.

Integrated Use of Existing Global Land Cover Datasets for Producing a New Global Land Cover Dataset with a Higher Accuracy: A Case Study in Eurasia

It has been commonly acknowledged that the current global mapping projects have encountered the accuracy challenge. By conducting a comparison among the four existing global land cover datasets (MODIS LC, GLC2000, GLCNMO and GLOBCOVER), it has been identified that certain areas’ accuracy has dragged down the overall accuracy of these global land cover datasets. In this paper, those areas have been defined as the “unreliable area”. This study has recollected the training data from the “unreliable area” within the above four mentioned datasets and reclassified the “unreliable area” by using two supervised classifications. The final result has shown that compared with any existing datasets, a relatively higher accuracy has been able to achieve.

Estimating Hansen solubility parameters of organic pigments by group contribution methods

The Hansen solubility parameters(HSP)are frequently used for solvent selection and characterization of polymers,and are directly related to the suspension behavior of pigments in solvent mixtures.The performance of currently available group contribution(GC)methods for HSP were evaluated and found to be insufficient for computer-aided product design(CAPD)of paints and coatings.A revised and,for this purpose,improved GC method is presented for estimating HSP of organic compounds,intended for organic pigments.Due to the significant limitations of GC methods,an uncertainty analysis and parameter confidence intervals are provided in order to better quantify the estimation accuracy of the proposed approach.Compared to other applicable GC methods,the prediction error is reduced significantly with average absolute errors of 0.45 MPa^(1/2),1.35 MPa^(1/2),and 1.09 MPa^(1/2) for the partial dispersion(δD),polar(δP)and hydrogen-bonding(δH)solubility parameters respectively for a database of 1106 compounds.The performance for organic pigments is comparable to the overall method performance,with higher average errors forδD and lower average errors forδP andδH.