Pub Date : 2022-09-06DOI: 10.24271/psr.2022.335846.1129
Faridoon Ismael Qadir, J. Shakor, S. Raheem, Ismael Abdulla
Background and aim : anxiety disorders are among the most frequent psychiatric disorders that nearly one-third of the population is being affected by an anxiety disorder during their life. Psychoeducation has been used as the main anxiety management for patient diagnosed with anxiety disorder. The aim of the study to asses effectiveness of psycho- educational program among patients diagnosed with anxiety. Methodology : A quasi-experimental design was carried out on 82 patients diagnosed with anxiety disorder. The patients attended a knowledge-based psycho-educational program, and anxiety level was measured using the Zang anxiety self-rating scale in pre- post- intervention status. The data was analyzed using the statistical package for social sciences (SPSS) version (23). Results: this study has demonstrated that anxiety was high among female (67.1%) and high educated (44.9%) comparatively. The study has also indicated that psychoeducation program has significant impact on decreasing the anxiety severity. The percentage of severe anxiety in pre-intervention state was (40.2%), mild and moderate anxiety level was (9.8%) and (50%) respectively, while in post-intervention status, severe anxiety level was (20.7%), mild and moderate anxiety level were (15.9%), (63.4%) respectively. Conclusion : This study concluded that psych - education intervention could significantly reduce level of anxiety among anxiety patients. The impact of a psychiatric education program is primarily due to increased knowledge about anxiety and improved problem-solving skills for anxiety sufferers. Anxiety was observed less frequent in male, single and less educated, while anxiety was more severe comparatively.
{"title":"Relation of Demographic and Impact of Psych educational Program on Anxiety Level in Patient Diagnosed with Generalized Anxiety Disorder in Garmian Psychiatric Center/Kalar","authors":"Faridoon Ismael Qadir, J. Shakor, S. Raheem, Ismael Abdulla","doi":"10.24271/psr.2022.335846.1129","DOIUrl":"https://doi.org/10.24271/psr.2022.335846.1129","url":null,"abstract":"Background and aim : anxiety disorders are among the most frequent psychiatric disorders that nearly one-third of the population is being affected by an anxiety disorder during their life. Psychoeducation has been used as the main anxiety management for patient diagnosed with anxiety disorder. The aim of the study to asses effectiveness of psycho- educational program among patients diagnosed with anxiety. Methodology : A quasi-experimental design was carried out on 82 patients diagnosed with anxiety disorder. The patients attended a knowledge-based psycho-educational program, and anxiety level was measured using the Zang anxiety self-rating scale in pre- post- intervention status. The data was analyzed using the statistical package for social sciences (SPSS) version (23). Results: this study has demonstrated that anxiety was high among female (67.1%) and high educated (44.9%) comparatively. The study has also indicated that psychoeducation program has significant impact on decreasing the anxiety severity. The percentage of severe anxiety in pre-intervention state was (40.2%), mild and moderate anxiety level was (9.8%) and (50%) respectively, while in post-intervention status, severe anxiety level was (20.7%), mild and moderate anxiety level were (15.9%), (63.4%) respectively. Conclusion : This study concluded that psych - education intervention could significantly reduce level of anxiety among anxiety patients. The impact of a psychiatric education program is primarily due to increased knowledge about anxiety and improved problem-solving skills for anxiety sufferers. Anxiety was observed less frequent in male, single and less educated, while anxiety was more severe comparatively.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68882591","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 : 2022-08-26DOI: 10.24271/psr.2022.351832.1149
Sabat Muhamad, H. Veisi
A text-to-speech (TTS) system converts the texts into speech in a specific language. Several TTS systems generate natural-like speech signals in numerous languages, such as English. On the other hand, the Kurdish language has just been examined. Existing preliminary research on Kurdish speech synthesis has utilized old methods and has generated low-quality speech. They also lack important aspects of speech, including intonation, emphasis, and rhythm. Some approaches were presented to address these challenges, including the use of concatenative systems. For example, the unit selection or statistical parametric methods. On the other hand, they need a great deal of time, effort, and domain knowledge. An additional factor for Kurdish speech synthesizers' low performance is the absence of publicly available speech corpora, unlike English, which has many freely-available corpora and audiobooks. The motivation of this paper is to create a Central Kurdish speech corpus and generate a human-like speech from the Kurdish text. This paper explains how to utilize Tacotron 2, an end-to-end neural network architecture and HiFi-GAN vocoder, to produce a high-quality, realistic, and human-like Kurdish voice. This work utilizes "text, audio" pairings, which contain 10 hours of recorded audio samples and texts collected from the Internet and textbooks. It shows how to use English character embedding as the pre-trained knowledge with Kurdish characters as input and how to preprocess these audio examples to get a great outcome. Our evaluations for various types of texts show a mean opinion score of 4.1, comparable with state-of-the-art synthesizers in other languages. 2022 Production by the University of Garmian. This is an open access article under the LICENSE https://creativecommons.org/licenses/by-nc/4.0/
{"title":"End-to-End Kurdish Speech Synthesis Based on Transfer Learning","authors":"Sabat Muhamad, H. Veisi","doi":"10.24271/psr.2022.351832.1149","DOIUrl":"https://doi.org/10.24271/psr.2022.351832.1149","url":null,"abstract":"A text-to-speech (TTS) system converts the texts into speech in a specific language. Several TTS systems generate natural-like speech signals in numerous languages, such as English. On the other hand, the Kurdish language has just been examined. Existing preliminary research on Kurdish speech synthesis has utilized old methods and has generated low-quality speech. They also lack important aspects of speech, including intonation, emphasis, and rhythm. Some approaches were presented to address these challenges, including the use of concatenative systems. For example, the unit selection or statistical parametric methods. On the other hand, they need a great deal of time, effort, and domain knowledge. An additional factor for Kurdish speech synthesizers' low performance is the absence of publicly available speech corpora, unlike English, which has many freely-available corpora and audiobooks. The motivation of this paper is to create a Central Kurdish speech corpus and generate a human-like speech from the Kurdish text. This paper explains how to utilize Tacotron 2, an end-to-end neural network architecture and HiFi-GAN vocoder, to produce a high-quality, realistic, and human-like Kurdish voice. This work utilizes \"text, audio\" pairings, which contain 10 hours of recorded audio samples and texts collected from the Internet and textbooks. It shows how to use English character embedding as the pre-trained knowledge with Kurdish characters as input and how to preprocess these audio examples to get a great outcome. Our evaluations for various types of texts show a mean opinion score of 4.1, comparable with state-of-the-art synthesizers in other languages. 2022 Production by the University of Garmian. This is an open access article under the LICENSE https://creativecommons.org/licenses/by-nc/4.0/","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43363703","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 : 2022-08-24DOI: 10.24271/psr.2022.351619.1144
Zanist Q. Hama-Aziz, R. Mustafa, H. Neima
Water productivity relates to the amount of yield per unit of water used. Water productivity is not reported for most crops in Iraq and the Kurdistan Region of Iraq (KRI) where water scarcity recently forces farmers to shift from traditional farming methods including surface irrigation on bare soil to modern practices including drip irrigation and mulch. This study is the first attempt in Iraq and KRI to calculate and report water productivity for tomato ( Solanum lycopersicum ) under drip irrigation with plastic mulch at the farm scale. Data of yield production, the number of irrigation, irrigation duration, and data of cost and benefit of production were collected in 2021 from 32 farmers who produced tomato from an area of 95 ha. The yield, water use, and water productivity were then calculated. The mean values were 82.7 ton ha -1 , 31,083 m 3 ha -1 , and 2.8 kg m -3 for yield, water use, and water productivity, respectively. Hence, to produce 1 kilogram of tomato, 350 liter of water was applied. Farmers irrigate the farms each time 2-3 times longer than in previous years. Thus, this water productivity value is lower than many values reported in the literature for drip irrigation and surface irrigation even, likely due to lower rainfall amount in 2020-21 compared to the previous season. Cost-benefit analysis shows that 21% of production benefits are water use, 14% is production cost and the remaining 65% is a net benefit. Although a substantial amount of water is used, tomato production is a profitable emerging business in the area. The recent shift from surface irrigation on bare soil to drip irrigation and mulch is a successful strategy in adaptation to current water scarcity in the region.
{"title":"Farm-scale water productivity for tomato with mulched drip irrigation","authors":"Zanist Q. Hama-Aziz, R. Mustafa, H. Neima","doi":"10.24271/psr.2022.351619.1144","DOIUrl":"https://doi.org/10.24271/psr.2022.351619.1144","url":null,"abstract":"Water productivity relates to the amount of yield per unit of water used. Water productivity is not reported for most crops in Iraq and the Kurdistan Region of Iraq (KRI) where water scarcity recently forces farmers to shift from traditional farming methods including surface irrigation on bare soil to modern practices including drip irrigation and mulch. This study is the first attempt in Iraq and KRI to calculate and report water productivity for tomato ( Solanum lycopersicum ) under drip irrigation with plastic mulch at the farm scale. Data of yield production, the number of irrigation, irrigation duration, and data of cost and benefit of production were collected in 2021 from 32 farmers who produced tomato from an area of 95 ha. The yield, water use, and water productivity were then calculated. The mean values were 82.7 ton ha -1 , 31,083 m 3 ha -1 , and 2.8 kg m -3 for yield, water use, and water productivity, respectively. Hence, to produce 1 kilogram of tomato, 350 liter of water was applied. Farmers irrigate the farms each time 2-3 times longer than in previous years. Thus, this water productivity value is lower than many values reported in the literature for drip irrigation and surface irrigation even, likely due to lower rainfall amount in 2020-21 compared to the previous season. Cost-benefit analysis shows that 21% of production benefits are water use, 14% is production cost and the remaining 65% is a net benefit. Although a substantial amount of water is used, tomato production is a profitable emerging business in the area. The recent shift from surface irrigation on bare soil to drip irrigation and mulch is a successful strategy in adaptation to current water scarcity in the region.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47484048","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 : 2022-08-15DOI: 10.24271/psr.2022.343112.1136
Amad Abdulqudos, A. Abdulrahman
Zinc Oxide (ZnO) nanoparticles (NPs) were biosynthesized by using a leaf extract of Allium Calocephalum Wendelbow (ACW) plant. The impact of various zinc salts on the characteristic’s properties of synthesized ZnO NPs and which salt is more suitable for the synthesis of the ZnO NPs were investigated. The used different zinc salts were Zinc Nitrate Hexahydrate (ZNH), Zinc Acetate (ZA), and Zinc Chloride (ZC). The properties of synthesized NPs were studied using a variety of characterization techniques. The FTIR analysis and UV-Visible spectroscopy of ACW plant leaf extract proved to suggest this extract is a better choice for the green synthesis of ZnO NPs. The UV–Visible spectra of leaf extract showed two distinct absorption peaks in the region of 262 nm and 350 nm at ambient temperature. The FE-SEM analysis revealed a spherical form of ZnO NPs having an (average) mean size in the range of (21.61-63.12) nm. Also, XRD results revealed the formation of a hexagonal wurtzite structure. The crystal size of produced ZnO NPs along the (002) diffraction peak was in the range of (16.91 to 28.19) nm for different Zinc salt. The EDX analysis shows that the produced ZnO NPs are very pure. The FTIR results displayed there is no obvious peak in the monitoring range, suggesting that the ZnO NPs created via using ACW Leaf Extract. Also, the UV-Vis. results of ZnO NPs showed that the sharpness peak in exciton absorption region, and UV absorption edge were found (381-397) nm, which is corresponding to the E g of the ZnO NPs, and the investigated E g of ZnO NPs was in the range of (3.12-3.25) eV. In addition, from all obtained results of the fabricated ZnO NPs, the ZnO NPs synthesized from zinc salt which is the Zinc Nitrate Hexahydrate showed the very high-quality and improved rather than the ZnO NPs synthesized from other zinc salts.
{"title":"Biosynthesis and Characterization of ZnO Nanoparticles by using Leaf Extractionof Allium Calocephalum Wendelbow Plant","authors":"Amad Abdulqudos, A. Abdulrahman","doi":"10.24271/psr.2022.343112.1136","DOIUrl":"https://doi.org/10.24271/psr.2022.343112.1136","url":null,"abstract":"Zinc Oxide (ZnO) nanoparticles (NPs) were biosynthesized by using a leaf extract of Allium Calocephalum Wendelbow (ACW) plant. The impact of various zinc salts on the characteristic’s properties of synthesized ZnO NPs and which salt is more suitable for the synthesis of the ZnO NPs were investigated. The used different zinc salts were Zinc Nitrate Hexahydrate (ZNH), Zinc Acetate (ZA), and Zinc Chloride (ZC). The properties of synthesized NPs were studied using a variety of characterization techniques. The FTIR analysis and UV-Visible spectroscopy of ACW plant leaf extract proved to suggest this extract is a better choice for the green synthesis of ZnO NPs. The UV–Visible spectra of leaf extract showed two distinct absorption peaks in the region of 262 nm and 350 nm at ambient temperature. The FE-SEM analysis revealed a spherical form of ZnO NPs having an (average) mean size in the range of (21.61-63.12) nm. Also, XRD results revealed the formation of a hexagonal wurtzite structure. The crystal size of produced ZnO NPs along the (002) diffraction peak was in the range of (16.91 to 28.19) nm for different Zinc salt. The EDX analysis shows that the produced ZnO NPs are very pure. The FTIR results displayed there is no obvious peak in the monitoring range, suggesting that the ZnO NPs created via using ACW Leaf Extract. Also, the UV-Vis. results of ZnO NPs showed that the sharpness peak in exciton absorption region, and UV absorption edge were found (381-397) nm, which is corresponding to the E g of the ZnO NPs, and the investigated E g of ZnO NPs was in the range of (3.12-3.25) eV. In addition, from all obtained results of the fabricated ZnO NPs, the ZnO NPs synthesized from zinc salt which is the Zinc Nitrate Hexahydrate showed the very high-quality and improved rather than the ZnO NPs synthesized from other zinc salts.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45589940","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 : 2022-07-26DOI: 10.24271/psr.2022.333252.1124
Miran Saeed
In this article, two wideband microstrip rectangular patch antennas have been designed and simulated for V band communication systems at resonant frequencies 45 GHz and 60 GHz. Rogers RO4730G3 is used as a substrate dielectric with dielectric constant 2.98. The dimensions of the antennas are 6.23mm*6.7mm*0.7mm and 6mm*6.4mm*0.7mm respectively, with very simple geometrical configuration. To investigate the performance, the designs were then simulated using (CST) Studio Suite software package. The dimensions have been well studied and optimized to obtain acceptable results of Voltage Standing Wave Ration (VSWR), return loss, gain, bandwidth (BW) and radiation pattern. The 45 GHz antenna provides a gain of 6.73 dBi with the BW of 5.5 GHz and 1.03 of VSWR. Meanwhile, the 60 GHz design offers 6.92 dBi of gain with BW of 11.57 GHz and 1.05 of VSWR. The achieved results illustrate that both designs provide a good performance and are applicable for future 5G communication systems or any applications in the V band region. the the
{"title":"Design and Simulation of Rectangular Microstrip Patch Antennas (45 GHz and 60 GHz) for V-band Applications","authors":"Miran Saeed","doi":"10.24271/psr.2022.333252.1124","DOIUrl":"https://doi.org/10.24271/psr.2022.333252.1124","url":null,"abstract":"In this article, two wideband microstrip rectangular patch antennas have been designed and simulated for V band communication systems at resonant frequencies 45 GHz and 60 GHz. Rogers RO4730G3 is used as a substrate dielectric with dielectric constant 2.98. The dimensions of the antennas are 6.23mm*6.7mm*0.7mm and 6mm*6.4mm*0.7mm respectively, with very simple geometrical configuration. To investigate the performance, the designs were then simulated using (CST) Studio Suite software package. The dimensions have been well studied and optimized to obtain acceptable results of Voltage Standing Wave Ration (VSWR), return loss, gain, bandwidth (BW) and radiation pattern. The 45 GHz antenna provides a gain of 6.73 dBi with the BW of 5.5 GHz and 1.03 of VSWR. Meanwhile, the 60 GHz design offers 6.92 dBi of gain with BW of 11.57 GHz and 1.05 of VSWR. The achieved results illustrate that both designs provide a good performance and are applicable for future 5G communication systems or any applications in the V band region. the the","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42813278","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 : 2022-06-01DOI: 10.24271/psr.2022.312664.1101
D. Hussein, Mstafa Rashad, K. Mirza, D. Hussein
Widespread internet use and the web have brought about new ways of expressing individual sentiments. A sentiment is defined as an individual's view in which feelings, attitudes, and thoughts can be represented. When it comes to analysing and extracting Sentiment analysis and opinion mining are two of the most prominent disciplines of research. They derive insights using text data through numerous sources like Facebook and Twitter. Sentiment analysis frequently elicits information on how people feel about various events, brands, products, or businesses. Researchers collect and improvise replies from the general public to conduct evaluations. This paper looks into sentiment analysis for classifying Twitter subscriber tweets. This approach can help analysing the information gathered and stored in positive, neutral and negative opinions. This information is first pre-processed before creating feature vectors. On the basis of machine learning, classification methods were used. The study's algorithms are used Maximum Entropy, Naive Bayes and Support Vector Machine; they are used to categorize documents as positive or negative. The dataset for this paper are obtained from Twitter and includes subscribed tweets by using the API. Following pre-processing, machine learning methods are used to determine whether the tweets are positive or negative. Social Medi.
{"title":"Machine Learning Approach to Sentiment Analysis in Data Mining","authors":"D. Hussein, Mstafa Rashad, K. Mirza, D. Hussein","doi":"10.24271/psr.2022.312664.1101","DOIUrl":"https://doi.org/10.24271/psr.2022.312664.1101","url":null,"abstract":"Widespread internet use and the web have brought about new ways of expressing individual sentiments. A sentiment is defined as an individual's view in which feelings, attitudes, and thoughts can be represented. When it comes to analysing and extracting Sentiment analysis and opinion mining are two of the most prominent disciplines of research. They derive insights using text data through numerous sources like Facebook and Twitter. Sentiment analysis frequently elicits information on how people feel about various events, brands, products, or businesses. Researchers collect and improvise replies from the general public to conduct evaluations. This paper looks into sentiment analysis for classifying Twitter subscriber tweets. This approach can help analysing the information gathered and stored in positive, neutral and negative opinions. This information is first pre-processed before creating feature vectors. On the basis of machine learning, classification methods were used. The study's algorithms are used Maximum Entropy, Naive Bayes and Support Vector Machine; they are used to categorize documents as positive or negative. The dataset for this paper are obtained from Twitter and includes subscribed tweets by using the API. Following pre-processing, machine learning methods are used to determine whether the tweets are positive or negative. Social Medi.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47583407","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 : 2022-04-05DOI: 10.24271/psr.2022.311246.1098
Karzan Salih
The ribosome is a macromolecular system that has a significant role in synthesizing protein within all living cells. Ribosome in eucaryotic cell consists of two subunits; including small (40S) and large (60S) ribosomal subunits. Moreover, each subunit contains one or more molecules of ribosomal RNA (rRNA) and several ribosomal proteins (r-protein). The purification and isolation of ribosomal proteins from the other cellular organelles are a highly complicated process that needs to do several purification steps. In this study, the cytosolic ribosomal proteins in the Arabidopsis thaliana cell culture have been purified from other organelles. Also, several types of proteases have been studied to find the best one that hydrolyzes peptide bonds to be analyzed by mass spectrometry protein identification applications. The results have shown that by using double addition of sucrose cushion into the purified sample and using trypsin enzyme, we could purify large number of ribosomal proteins in the sample.
{"title":"Purification of cytosolic ribosome in Arabidopsis thaliana using different proteases","authors":"Karzan Salih","doi":"10.24271/psr.2022.311246.1098","DOIUrl":"https://doi.org/10.24271/psr.2022.311246.1098","url":null,"abstract":"The ribosome is a macromolecular system that has a significant role in synthesizing protein within all living cells. Ribosome in eucaryotic cell consists of two subunits; including small (40S) and large (60S) ribosomal subunits. Moreover, each subunit contains one or more molecules of ribosomal RNA (rRNA) and several ribosomal proteins (r-protein). The purification and isolation of ribosomal proteins from the other cellular organelles are a highly complicated process that needs to do several purification steps. In this study, the cytosolic ribosomal proteins in the Arabidopsis thaliana cell culture have been purified from other organelles. Also, several types of proteases have been studied to find the best one that hydrolyzes peptide bonds to be analyzed by mass spectrometry protein identification applications. The results have shown that by using double addition of sucrose cushion into the purified sample and using trypsin enzyme, we could purify large number of ribosomal proteins in the sample.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"14 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41261383","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：