Industrial wastewater causes water and soil pollution, leading to life-threatening issues. Wastewater comprises several dyes, detergents, phenols, chemical salts, and heavy metals which enhance temperature, pH, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) load, total suspended solids, Total Dissolved Solids (TDS), chlorides, sulfate, and nitrate of affected sites. Dye effluent is highly toxic and leads to mutagenic and carcinogenic outcomes on living beings. Environmental laws are being passed more frequently to control mostly azo-based dyes in the environment. The effluent must be treated before being discarded directly into the ecological ecosystem so that it can be reutilised and recycled for domestic purposes. In the present scenario, using a physicochemical-based approach is inefficient for eliminating contaminants as the process is expensive, and a secondary pollutant, sludge, is produced after the treatment. Being cheap and eco-friendly, the therapy of dye-laden water using microorganisms is a trend. The authors of the current review study have tried to bridge the gap in the bioremediation of dye wastewater. The review imparts an overview of the textile industry, the generation of wastewater by it, the environmental pollution caused, and its impact on the ecosystem. The discussion mainly focuses on the detailed analysis of the last few decades on the decolorisation efficiencies of numerous bioremediation techniques involved in treating textile dye effluent. Additionally, the authors have tried to include the most recent developments in this area. By using eco-friendly methods, this study will undoubtedly help dyestuff companies and researchers.
{"title":"TEXTILE EFFLUENT TREATMENT METHODS AND LIMITATIONS: A SUSTAINABLE AND ECOLOGICAL ASPECT","authors":"Preeti Chaurasia, Nakuleshwar Dut Jasuja, Sanjeev Kumar","doi":"10.55766/sujst-2023-06-e01655","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e01655","url":null,"abstract":"Industrial wastewater causes water and soil pollution, leading to life-threatening issues. Wastewater comprises several dyes, detergents, phenols, chemical salts, and heavy metals which enhance temperature, pH, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) load, total suspended solids, Total Dissolved Solids (TDS), chlorides, sulfate, and nitrate of affected sites. Dye effluent is highly toxic and leads to mutagenic and carcinogenic outcomes on living beings. Environmental laws are being passed more frequently to control mostly azo-based dyes in the environment. The effluent must be treated before being discarded directly into the ecological ecosystem so that it can be reutilised and recycled for domestic purposes. In the present scenario, using a physicochemical-based approach is inefficient for eliminating contaminants as the process is expensive, and a secondary pollutant, sludge, is produced after the treatment. Being cheap and eco-friendly, the therapy of dye-laden water using microorganisms is a trend. The authors of the current review study have tried to bridge the gap in the bioremediation of dye wastewater. The review imparts an overview of the textile industry, the generation of wastewater by it, the environmental pollution caused, and its impact on the ecosystem. The discussion mainly focuses on the detailed analysis of the last few decades on the decolorisation efficiencies of numerous bioremediation techniques involved in treating textile dye effluent. Additionally, the authors have tried to include the most recent developments in this area. By using eco-friendly methods, this study will undoubtedly help dyestuff companies and researchers.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"37 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139863894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e0850
Sandeep Malhotra, Hemant Goklani, Kinjal Solanki
In various Computer vision applications for better visualization, interpretation and better recognition, we frequently want to change an image in one style into another one which is a large research area of compressive sensing. Algorithms on compressed sensing are in demand to create better reconstruction of the images while taking less computational time and requiring less storage capacity. In the present work attempts are put in the same direction and brought an algorithm which includes semi coupled dictionary learning (SCDL) model of compressed sensing with Singular Value Decomposition (SVD) based Generalized Cross Validation (GCV) algorithm. Using this algorithm one can find the different value of regularization parameters for different sizes of images and that helps to get better reconstruction of the images with ease while doing experiments on cross style image synthesis problems.
{"title":"CROSS STYLE IMAGE SYNTHESIS THROUGH SEMI COUPLED DICTIONARY LEARNING AND GENERALIZED CROSS VALIDATION ALGORITHM","authors":"Sandeep Malhotra, Hemant Goklani, Kinjal Solanki","doi":"10.55766/sujst-2023-06-e0850","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e0850","url":null,"abstract":"In various Computer vision applications for better visualization, interpretation and better recognition, we frequently want to change an image in one style into another one which is a large research area of compressive sensing. Algorithms on compressed sensing are in demand to create better reconstruction of the images while taking less computational time and requiring less storage capacity. In the present work attempts are put in the same direction and brought an algorithm which includes semi coupled dictionary learning (SCDL) model of compressed sensing with Singular Value Decomposition (SVD) based Generalized Cross Validation (GCV) algorithm. Using this algorithm one can find the different value of regularization parameters for different sizes of images and that helps to get better reconstruction of the images with ease while doing experiments on cross style image synthesis problems.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"45 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e0134
Md. Imran Hasan Bappy
Beam deflection under load and concrete cracking is a ubiquitous phenomenon, present in all types of concrete structures. This research work represents a comparative analysis of experimental and theoretical deflections of simply supported beams with different proportions of mild steel as reinforcement and also different curing conditions i.e. Painting, Air and Water curing. Theoretical deflections were measured using AS 3600-2018, ACI 318-14 and Eurocode 2:2004. To differentiate among these codes Shrinkage was kept variable by different curing conditions. Crack width was measured by image processing using ImageJ software and compared with theoretical results using Eurocode 2:2004 and ACI 224.1R-07. Processing of RGB images with sufficient information will provide the parameters of cracks. RGB images were converted into Gray scale proceed by a filtering and thresholding. Crack parameters were automatically determined by Ridge Detection plugin. Deflections of simply supported beams from experimental and calculation results using AS 3600-2018, Eurocode 2:2004 and ACI 318-14 are very close. Image processing is a very effective technique in the study of crack in concrete and for automatic detection “Ridge Detection” plugin is very helpful.
{"title":"INSTANTANEOUS LOAD-DEFLECTION BEHAVIOUR OF REINFORCED CONCRETE BEAMS","authors":"Md. Imran Hasan Bappy","doi":"10.55766/sujst-2023-06-e0134","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e0134","url":null,"abstract":"Beam deflection under load and concrete cracking is a ubiquitous phenomenon, present in all types of concrete structures. This research work represents a comparative analysis of experimental and theoretical deflections of simply supported beams with different proportions of mild steel as reinforcement and also different curing conditions i.e. Painting, Air and Water curing. Theoretical deflections were measured using AS 3600-2018, ACI 318-14 and Eurocode 2:2004. To differentiate among these codes Shrinkage was kept variable by different curing conditions. Crack width was measured by image processing using ImageJ software and compared with theoretical results using Eurocode 2:2004 and ACI 224.1R-07. Processing of RGB images with sufficient information will provide the parameters of cracks. RGB images were converted into Gray scale proceed by a filtering and thresholding. Crack parameters were automatically determined by Ridge Detection plugin. Deflections of simply supported beams from experimental and calculation results using AS 3600-2018, Eurocode 2:2004 and ACI 318-14 are very close. Image processing is a very effective technique in the study of crack in concrete and for automatic detection “Ridge Detection” plugin is very helpful.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"53 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e0850
Sandeep Malhotra, Hemant Goklani, Kinjal Solanki
In various Computer vision applications for better visualization, interpretation and better recognition, we frequently want to change an image in one style into another one which is a large research area of compressive sensing. Algorithms on compressed sensing are in demand to create better reconstruction of the images while taking less computational time and requiring less storage capacity. In the present work attempts are put in the same direction and brought an algorithm which includes semi coupled dictionary learning (SCDL) model of compressed sensing with Singular Value Decomposition (SVD) based Generalized Cross Validation (GCV) algorithm. Using this algorithm one can find the different value of regularization parameters for different sizes of images and that helps to get better reconstruction of the images with ease while doing experiments on cross style image synthesis problems.
{"title":"CROSS STYLE IMAGE SYNTHESIS THROUGH SEMI COUPLED DICTIONARY LEARNING AND GENERALIZED CROSS VALIDATION ALGORITHM","authors":"Sandeep Malhotra, Hemant Goklani, Kinjal Solanki","doi":"10.55766/sujst-2023-06-e0850","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e0850","url":null,"abstract":"In various Computer vision applications for better visualization, interpretation and better recognition, we frequently want to change an image in one style into another one which is a large research area of compressive sensing. Algorithms on compressed sensing are in demand to create better reconstruction of the images while taking less computational time and requiring less storage capacity. In the present work attempts are put in the same direction and brought an algorithm which includes semi coupled dictionary learning (SCDL) model of compressed sensing with Singular Value Decomposition (SVD) based Generalized Cross Validation (GCV) algorithm. Using this algorithm one can find the different value of regularization parameters for different sizes of images and that helps to get better reconstruction of the images with ease while doing experiments on cross style image synthesis problems.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"24 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139805844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e01216
Taraka Ramarao Challa, Pathivada SaiKiranmai
Naproxen is a non-steroidal anti-inflammatory (NSAID) drug that can be used as an analgesic, anti-inflammatory, and antipyretic. Objectives: The study’s major goal was to improve the drug’s solubility and dissolution rate, as well as its oral bioavailability. Methods: Physical mixture, kneading process, and solvent evaporation method were used to make Naproxen solid dispersions (SDs). Using a two-level factorial design and three independent components, X1 β-Cyclodextrin, X2: Kolliphor p-188, and X3: PVPK-30 and designed by a Design expert (DOE). The formulation was studied by flow parameters, physical characteristics, Fourier-transform infrared spectroscopy, and comparative investigations with commercially available Naprosyn and F2. Major Results: In vitro performance of solid dispersions SD’s was favorable (100% drug release 20 minutes), compared to a pure drug, where 100 percent drug release takes 80 minutes. The FTIR spectra of pure drug and combinations with excipients were having no chemical interaction. The F44
{"title":"DESIGN AND DEVELOPMENT OF ANTI-INFLAMMATORY DRUG NAPROXEN SOLID DISPERSIONS AND FORMULATIONS BY FACTORIAL DESIGN APPROACH","authors":"Taraka Ramarao Challa, Pathivada SaiKiranmai","doi":"10.55766/sujst-2023-06-e01216","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e01216","url":null,"abstract":"Naproxen is a non-steroidal anti-inflammatory (NSAID) drug that can be used as an analgesic, anti-inflammatory, and antipyretic. Objectives: The study’s major goal was to improve the drug’s solubility and dissolution rate, as well as its oral bioavailability. Methods: Physical mixture, kneading process, and solvent evaporation method were used to make Naproxen solid dispersions (SDs). Using a two-level factorial design and three independent components, X1 β-Cyclodextrin, X2: Kolliphor p-188, and X3: PVPK-30 and designed by a Design expert (DOE). The formulation was studied by flow parameters, physical characteristics, Fourier-transform infrared spectroscopy, and comparative investigations with commercially available Naprosyn and F2. Major Results: In vitro performance of solid dispersions SD’s was favorable (100% drug release 20 minutes), compared to a pure drug, where 100 percent drug release takes 80 minutes. The FTIR spectra of pure drug and combinations with excipients were having no chemical interaction. The F44<F88<F77<F11<F66<F55<F33<F2 depicts the order of released various formulations. The release profiles of F2 and the Naprosyn tablet are similar. These findings suggest that a new naproxen tablet formulation, including the β-Cyclodextrin: Kolliphor - p188 complex, could be a viable alternative for improving oral bioavailability.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"27 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139863199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e0134
Md. Imran Hasan Bappy
Beam deflection under load and concrete cracking is a ubiquitous phenomenon, present in all types of concrete structures. This research work represents a comparative analysis of experimental and theoretical deflections of simply supported beams with different proportions of mild steel as reinforcement and also different curing conditions i.e. Painting, Air and Water curing. Theoretical deflections were measured using AS 3600-2018, ACI 318-14 and Eurocode 2:2004. To differentiate among these codes Shrinkage was kept variable by different curing conditions. Crack width was measured by image processing using ImageJ software and compared with theoretical results using Eurocode 2:2004 and ACI 224.1R-07. Processing of RGB images with sufficient information will provide the parameters of cracks. RGB images were converted into Gray scale proceed by a filtering and thresholding. Crack parameters were automatically determined by Ridge Detection plugin. Deflections of simply supported beams from experimental and calculation results using AS 3600-2018, Eurocode 2:2004 and ACI 318-14 are very close. Image processing is a very effective technique in the study of crack in concrete and for automatic detection “Ridge Detection” plugin is very helpful.
{"title":"INSTANTANEOUS LOAD-DEFLECTION BEHAVIOUR OF REINFORCED CONCRETE BEAMS","authors":"Md. Imran Hasan Bappy","doi":"10.55766/sujst-2023-06-e0134","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e0134","url":null,"abstract":"Beam deflection under load and concrete cracking is a ubiquitous phenomenon, present in all types of concrete structures. This research work represents a comparative analysis of experimental and theoretical deflections of simply supported beams with different proportions of mild steel as reinforcement and also different curing conditions i.e. Painting, Air and Water curing. Theoretical deflections were measured using AS 3600-2018, ACI 318-14 and Eurocode 2:2004. To differentiate among these codes Shrinkage was kept variable by different curing conditions. Crack width was measured by image processing using ImageJ software and compared with theoretical results using Eurocode 2:2004 and ACI 224.1R-07. Processing of RGB images with sufficient information will provide the parameters of cracks. RGB images were converted into Gray scale proceed by a filtering and thresholding. Crack parameters were automatically determined by Ridge Detection plugin. Deflections of simply supported beams from experimental and calculation results using AS 3600-2018, Eurocode 2:2004 and ACI 318-14 are very close. Image processing is a very effective technique in the study of crack in concrete and for automatic detection “Ridge Detection” plugin is very helpful.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"28 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139806029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e01198
Sanjita Das, Vikash Chauhan, Rohan Verma
Nyctanthes arbortritis (Parijat tree) is a medicinal plant that has long been utilized in a variety of Ayurvedic formulations to treat a range of ailments. Many medicinal qualities like analgesic, antipyretic, antifungal, antibacterial, and anti-cancer properties, have been identified through comprehensive research on the pharmacological screening of Nyctanthes arbortritis. It has been demonstrated that the plant both inhibits the growth of certain cancer cells and has cytotoxic effects on them. As a promising therapy option for a range of inflammatory and pain related disorders, the extracts of its different plant parts have also been discovered to possess strong anti-inflammatory and analgesic activity. The plant extracts also have strong antifungal and antibacterial properties, which makes them a possible medicinal source for the creation of novel antibiotics. In this article, we have represented the collective scientific information about the various phytoconstituents and pharmacological activities of the Nyctanthes arbortritis.
{"title":"NYCTANTHES ARBORTRITIS LINN: AN ETHNOPHARMACOLOGICAL MIRACULOUS NATURAL RESOURCE","authors":"Sanjita Das, Vikash Chauhan, Rohan Verma","doi":"10.55766/sujst-2023-06-e01198","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e01198","url":null,"abstract":"Nyctanthes arbortritis (Parijat tree) is a medicinal plant that has long been utilized in a variety of Ayurvedic formulations to treat a range of ailments. Many medicinal qualities like analgesic, antipyretic, antifungal, antibacterial, and anti-cancer properties, have been identified through comprehensive research on the pharmacological screening of Nyctanthes arbortritis. It has been demonstrated that the plant both inhibits the growth of certain cancer cells and has cytotoxic effects on them. As a promising therapy option for a range of inflammatory and pain related disorders, the extracts of its different plant parts have also been discovered to possess strong anti-inflammatory and analgesic activity. The plant extracts also have strong antifungal and antibacterial properties, which makes them a possible medicinal source for the creation of novel antibiotics. In this article, we have represented the collective scientific information about the various phytoconstituents and pharmacological activities of the Nyctanthes arbortritis.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"148 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139862947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e01836
My Tran Trung, Thien Le Van, Binh Dang Xuan, Lan Dang Thi Mai, Duc Vu Minh
Mastitis still remains an economic disease in dairy farms all over the world. This study aimed to report the prevalence of this disease in large-scale farms in Vietnam, the pathogens profile, and first report the detection of Mycoplasma bovis (M. bovis) by applying conventional culture and real-time PCR (polymerase chain reaction) methods. We examined 64,802 enrolled dairy cows from six farms in Vietnam, yielding 1,874 (2.9%) total cases of clinical mastitis. The majority of the 14 pathogens were identified. Klebsiella spp. accounted for 21.0% of the total isolates. Streptococcus uberis (S. uberis), Escherichia coli (E. coli), other Streptococcus spp, and Coagulase-Negative Staphylococci (CNS), followed at 12.6, 7.6, 6.0, and 5.5 percent, respectively. The rest pathogens include Pseudomonas spp., Enterococcus faecalis, Enterobacter spp., Bacillus spp., Citrobacter spp., Pasteurella spp., Proteus spp., and Staphylococcus aureus were isolated with less than 1% each. To the best of our knowledge, this is the first report for detecting M. bovis in mastitis milk samples in Vietnam, where 35 out of 1,422 samples submitted in 2022 were M. bovis positive. Moreover, of the 35 positive cases, 11 cases had only M. bovis, while 24 cases had M. bovis and other pathogens, including 13 Enterobacteriaceae, 7 Streptococcus spp., and 4 CNS.
{"title":"PREVALENCE OF BOVINE MASTITIS AND THE FIRST DETECTION OF MYCOPLASMA BOVIS IN VIETNAM’S DAIRY FARMS","authors":"My Tran Trung, Thien Le Van, Binh Dang Xuan, Lan Dang Thi Mai, Duc Vu Minh","doi":"10.55766/sujst-2023-06-e01836","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e01836","url":null,"abstract":"Mastitis still remains an economic disease in dairy farms all over the world. This study aimed to report the prevalence of this disease in large-scale farms in Vietnam, the pathogens profile, and first report the detection of Mycoplasma bovis (M. bovis) by applying conventional culture and real-time PCR (polymerase chain reaction) methods. We examined 64,802 enrolled dairy cows from six farms in Vietnam, yielding 1,874 (2.9%) total cases of clinical mastitis. The majority of the 14 pathogens were identified. Klebsiella spp. accounted for 21.0% of the total isolates. Streptococcus uberis (S. uberis), Escherichia coli (E. coli), other Streptococcus spp, and Coagulase-Negative Staphylococci (CNS), followed at 12.6, 7.6, 6.0, and 5.5 percent, respectively. The rest pathogens include Pseudomonas spp., Enterococcus faecalis, Enterobacter spp., Bacillus spp., Citrobacter spp., Pasteurella spp., Proteus spp., and Staphylococcus aureus were isolated with less than 1% each. To the best of our knowledge, this is the first report for detecting M. bovis in mastitis milk samples in Vietnam, where 35 out of 1,422 samples submitted in 2022 were M. bovis positive. Moreover, of the 35 positive cases, 11 cases had only M. bovis, while 24 cases had M. bovis and other pathogens, including 13 Enterobacteriaceae, 7 Streptococcus spp., and 4 CNS.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"55 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139864646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e0736
Ştefan Ţălu, Davide Frumento
Inflammatory Bowel Diseases (IBDs) are a class of gastrointestinal chronic inflammations, comprehending Ulcerative Colitis (UC) and/or Crohn Disease (CD) and affecting genetically predisposed subjects. IBDs represent a high cost for the health system, and they are characterized by a very specific co-morbidity. For such reasons, and since a positive correlation between IBDs and Diabetes Mellitus (DM) has been observed in the past, the aim of this work is to provide such result with a more solid basis through a cohort study, considering 49 consecutive patients comorbid with IBDs and Type 2 Diabetes (T2D). A high correlation between IBDs and T2D was observed. Interestingly, UC was showed the higher correlation, with a particularly high peak within the 65 to 74 years old range. Being T2D a both environmentally and genetically driven pathology (like IBDs), these diseases association could be due to environmental factors. Furthermore, 70.8% of case-control patients (48 cases versus 96 controls, consecutively selected) were suffering from UC, while CD held the remaining 25.0% (4.2% stood for undetermined colitis). This evidences that, among IBDs, the most related to DM is UC, although CD remains a related pathology. Interestingly, CD was found to be absent in the 55-64 years old range. Conversely, cohort study highlighted 73.81% of cohort was suffering from UC, while CD held the remaining 21.43% (4.76% was for non-determined colitis). This confirms that, among IBDs, the most linked to T2D is UC.
{"title":"A LINKAGE BETWEEN INFLAMMATORY BOWEL DISEASES AND TYPE 2 DIABETES","authors":"Ştefan Ţălu, Davide Frumento","doi":"10.55766/sujst-2023-06-e0736","DOIUrl":"https://doi.org/10.55766/sujst-2023-06-e0736","url":null,"abstract":"Inflammatory Bowel Diseases (IBDs) are a class of gastrointestinal chronic inflammations, comprehending Ulcerative Colitis (UC) and/or Crohn Disease (CD) and affecting genetically predisposed subjects. IBDs represent a high cost for the health system, and they are characterized by a very specific co-morbidity. For such reasons, and since a positive correlation between IBDs and Diabetes Mellitus (DM) has been observed in the past, the aim of this work is to provide such result with a more solid basis through a cohort study, considering 49 consecutive patients comorbid with IBDs and Type 2 Diabetes (T2D). A high correlation between IBDs and T2D was observed. Interestingly, UC was showed the higher correlation, with a particularly high peak within the 65 to 74 years old range. Being T2D a both environmentally and genetically driven pathology (like IBDs), these diseases association could be due to environmental factors. Furthermore, 70.8% of case-control patients (48 cases versus 96 controls, consecutively selected) were suffering from UC, while CD held the remaining 25.0% (4.2% stood for undetermined colitis). This evidences that, among IBDs, the most related to DM is UC, although CD remains a related pathology. Interestingly, CD was found to be absent in the 55-64 years old range. Conversely, cohort study highlighted 73.81% of cohort was suffering from UC, while CD held the remaining 21.43% (4.76% was for non-determined colitis). This confirms that, among IBDs, the most linked to T2D is UC.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":"7 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139802990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.55766/sujst-2023-06-e01216
Taraka Ramarao Challa, Pathivada SaiKiranmai
Naproxen is a non-steroidal anti-inflammatory (NSAID) drug that can be used as an analgesic, anti-inflammatory, and antipyretic. Objectives: The study’s major goal was to improve the drug’s solubility and dissolution rate, as well as its oral bioavailability. Methods: Physical mixture, kneading process, and solvent evaporation method were used to make Naproxen solid dispersions (SDs). Using a two-level factorial design and three independent components, X1 β-Cyclodextrin, X2: Kolliphor p-188, and X3: PVPK-30 and designed by a Design expert (DOE). The formulation was studied by flow parameters, physical characteristics, Fourier-transform infrared spectroscopy, and comparative investigations with commercially available Naprosyn and F2. Major Results: In vitro performance of solid dispersions SD’s was favorable (100% drug release 20 minutes), compared to a pure drug, where 100 percent drug release takes 80 minutes. The FTIR spectra of pure drug and combinations with excipients were having no chemical interaction. The F44
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