bluuebunny/crossref_metadata_2025 huggingface dataset:
Legal Risks and Prevention of the Sharing Economy Based on Artificial Intelligence
Authors: Dai Nana
Published: September 2023

To solve the conflicts between the transparency of capital and current restrictive regulations and regulations regarding consumers’ right to claim information and safety, this paper studies the legal risk and prevention path of the transparency of capital due to artificial intelligence. Firstly, the legal risk ways and means of the transparency of capital are constructed by the combined algorithm of SVR, BP, and RNN under the artificial intelligence algorithm, focusing on data tracking before and after the rectification of sharing enterprises with the combined algorithm of BP neural network and RNN to test whether the preventive measures are effectively implemented in place, and then the legal risk prevention path based on the government and enterprise levels is derived. The study concludes that shared travel legal disputes are rising between 2018 and 2022. Among the 10 types of violations sampled for investigation, age information was accessed in violation of the law the most, reaching 53,607,900, and the least in comparison, precise location information was accessed in violation of the law, 1,029,000. After warnings by government departments, the overall violations by enterprises after rectification were on a downward trend, with the incidence of violations controlled between 28.1% and 43.2%. The research on the legal risks of sharing economy in this paper has realistic value and reference significance to the legislation of transparency of capital.
The information dissemination path of the sense of community of contextual beauty universe based on the hierarchical analysis method - the science fiction film “Dune” as an example
Authors: Ai Hongjuan , Ding Pei , Moon Hyoun-Sun
Published: September 2023

Since its introduction into China, the film Dune has sparked heated discussions among Chinese moviegoers. This paper explores the sense of cosmic community embedded in Dune, and its cinematic aesthetics conveyed to audiences through the information dissemination path. This paper identifies the hierarchical analysis method as the main research method, first identifies the definition of cosmic community in terms of content, and then conducts an appreciation of the sense of cosmic community in the contextual beauty of “Dune”. The algorithmic framework is established by building a model of the hierarchical analysis method, while the priority weight allocation coefficient is calculated afterward to determine the priority weight of the program, and the results are evaluated using the fuzzy preference evaluation method. The data showed that the highest ratio of movie viewers who liked science and technology very much or more was 36.09% and 35.49%, respectively, while the ratio of movie viewers who were interested in the topics of universe and space exploration was 48.8%. The rating screen effects and movie music scored out of 10, and the average audience rating was above 8.2. And Dune belongs to the topic of cosmic exploration, indicating that at least in terms of the movie audience, Dune already has a large audience base in the early stage, which is one of the sources of the movie’s enthusiasm. This paper is feasible and meaningful to explore the research direction of Dune’s cosmic community of contextual beauty from the contextual level.
Analysis of the factors influencing the metabolic risk of students’ body functions in physical education institutions and the construction of a diagnostic model
Authors: Wang Kaiyin , Xie Qian
Published: September 2023

As a critical transition period from adolescence to youth, college students’ health behaviors, and physical forms are gradually maturing, and nowadays, college students’ obsession with smartphones largely causes great harm to their body function metabolism. This paper mainly evaluates and analyzes the physical function metabolic risk of college students in physical education institutions themselves by linear regression model and least squares method, studies the correlation between body fat percentage and physical fitness and functional metabolic risk of college students, analyzes the mediating effect of body fat percentage between physical fitness and physical function metabolic risk, and finally analyzes the body fat percentage, physical fitness and joint indexes of different genders. The results showed that the physical fitness index, including grip strength index and maximal oxygen uptake, could significantly diagnose the functional metabolic risk of college students. There may be professional and gender differences in grip strength index and maximal oxygen uptake to diagnose functional metabolic risk in college students. This study provides a reliable theoretical basis for coaches’ training programs.
Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model
Authors: Li Xue , Li Ling , Hu Binfeng
Published: September 2023

The establishment of an industrial benefit distribution mechanism for reservoir migrants in water conservancy and hydropower projects is a crucial part. This paper establishes the logistic regression model with gradient descent by deriving the objective function and using the gradient descent method to solve its approximate solution. Then, the model is applied to predict the total income and total expenditure of reservoir migrants before and after agricultural resettlement and tertiary resettlement, and the criteria for benefit compensation distribution are given based on the comparison before and after relocation. In the case of agricultural resettlement, the average share of equal compensation in the first 5 years accounts for 54.67% of the predicted income, and the predicted average annual growth rate of net income per capita is 17.86% with a discount rate of 3.12%. In the tertiary placement case, the predicted growth rates of wage income in the first 5 years are 7.49%, 4.84%, 10.56%, and 1.15%, respectively, and the average annual growth rate of transfer income is 7.01%, and the average annual growth rate of government subsidies is 0.80%. The prediction accuracy of the logistic regression model based on gradient decline reached 84.14%, and the analysis of the distribution of industrial benefits for reservoir migrants was credible. To let the living standard of migrants recover and exceed the level of non-relocation as soon as possible, it is necessary to give migrants certain compensation for production and life recovery based on the living standard measurement index.
Research on the evaluation system and satisfaction of cruise tourism in China based on the decentralized Internet
Authors: Qu Chao
Published: September 2023

Chinese cruise tourism is still in its initial stage, and the research on its evaluation system and satisfaction is not deep enough. In this paper, based on the decentralized, self-organizing net architecture, the network elements are defined, the formal representation of the network node index is studied, and the interests of the network nodes are abstracted as interest summary fingerprints to establish the decentralized network model. Then, the model was used to analyze the tourist satisfaction, trip evaluation, and high-frequency review terms of the head brands of Chinese cruise tourism. On average, 65.51% of cruise tourists rated themselves as satisfied and above, and 19.41% were dissatisfied. The average ratings (on a 5-point scale) of cruise ships on accommodation, dining, service, and entertainment are 4.49, 4.19, 3.91, and 3.93, respectively. The top 3 high-frequency words in tourists’ reviews are “restaurant”, “shopping,” and “tour escort”, and the weight of the first-level indicators of the evaluation system is (0.137, 0.296, 0.256, 0.311). This study has enriched the research method and content of cruise tourism satisfaction, and the constructed cruise tourism satisfaction evaluation system can better reflect the needs of tourists and be more timely.
Optimization of computer-assisted teaching mode in universities based on Dijkstra’s algorithm
Authors: Yin Li
Published: September 2023

In the context of digitalizing big data and information, optimizing the teaching model of colleges and universities is a key concern in the education sector. This paper optimizes the shortest path planning of the Dijkstra algorithm around the Floyd algorithm and ant colony algorithm, constructs the model of a computer-aided teaching system in colleges and universities through the Dijkstra algorithm, and constructs the system model indexes from three aspects: students’ cognitive ability, students’ learning performance, and students’ learning interest. A sample of 100 college students was randomly selected, and the accuracy performance of the samples was compared by the Dijkstra algorithm and improved Dijkstra, respectively. The accuracy rate of the improved Dijkstra algorithm fluctuated from 83% to 90%, with a variable rate of 7%, which was relatively small. Then the Dijkstra algorithm was used to analyze the weighting of the cognitive ability index, learning achievement index, and learning interest index. In the cognitive ability index, the memory ability weight of 34% performed better compared with the other five, the good weight in the learning achievement index performed better compared with the other categories, and the more interesting weight in the learning interest index performed better overall compared with the other five categories. This study has guiding reference value for optimizing computer-assisted teaching mode in colleges and universities to improve teaching quality and efficiency of colleges and universities.
A study on the effect of different machine learning algorithms on soccer footwork recognition under trajectory tracking theory
Authors: Li Chengjun , Yang Hao , Wang Jingyan
Published: September 2023

This paper aims to investigate the effectiveness and influencing factors of different machine learning algorithms on soccer footwork recognition. In this paper, we use inertial sensors to obtain the basic data of soccer players’ movements, then convert them into initial data of footwork using pose representation and pose-solving filtering. The value of K mainly influences the classification accuracy of KNN, and the highest accuracy of 67.23% is achieved when K is 5. The classification accuracy of SVM is related to the choice of the distance function. The accuracy of CNN is mainly affected by the size of the convolutional kernel and the convolutional step size, and the highest accuracy is 73.82%. The machine learning-based soccer step recognition can improve the recognition accuracy of traditional physical methods and provide scientific sports guidance for soccer players’ training.
Quantitative Evaluation of Piano Performance Technique and Style Based on Continuous Discretization Method
Authors: Mao Dandan , Liu Sha
Published: September 2023

The piano education industry occupies a huge market. However, the automatic piano performance evaluation function has shortcomings in the existing piano education. In this paper, we first design a piano performance evaluation model based on the continuous discretization method for piano performance audio and improve the piano performance feature filtering and feature extraction methods through cubic spline interpolation and support vector regression, respectively. Secondly, a piano performance evaluation system based on music theory knowledge is studied to evaluate the user’s performance ability based on the rating of rhythm, main melody, and musicality performance of different levels of score performance audio and to achieve the purpose of assisting piano teaching. The results show that the difference between the scoring based on the continuous, discrete model and the actual level value of the player is less than 0.05, and the output of the evaluation system can achieve consistency; in the comparison experiments, the accuracy of three traditional evaluation models, BP, RNN, and LSTM, is 45%, 42%, and 75%, respectively, while the accuracy of the continuous, discrete model is 78%, with an average performance improvement of 23%. The continuous, discrete piano performance evaluation model proposed in this paper is more effective and objective in evaluating users’ piano performance ability and provides a guiding reference for performance evaluation in the piano education industry.
An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm
Authors: Xie Qing
Published: September 2023

Exploring the evolution of translation of contemporary Chinese literature better presents Chinese literary charm to foreign readers. This paper starts with the Kalman filter algorithm and introduces its cost function that satisfies the error minimization and the Kalman filter gain. Then the BP neural network is illustrated, its minimization of mean square error is solved using the backpropagation algorithm, and the momentum factor is introduced to update the weight function of the BP neural network. The correlation between the Kalman gain and the filtering error is fitted using BP neural network to optimize the Kalman filtering algorithm, and the algorithm flow chart of the BP-KF algorithm is given. Finally, the BP-KF algorithm is used to analyze the data on the evolution of translation strategies and translation dissemination channels of contemporary Chinese literature on the Internet. From the evolution of the translation strategy, the number of translated works of additive French literature decreased by 5.28% year-on-year from 2016 to 2020, and the number of translated works of annotated French literature increased by nearly 11 times year-on-year from 2016 to 2020. In terms of the evolution of the translation and dissemination channels, the percentage of using the Internet to disseminate literary translation and mediation works reviews increased from 16.29% in 2017 to 41.65% in 2021, an increase of 25.36 percentage points. Based on the BP-KF algorithm, the evolution of translation of contemporary Chinese literature can be effectively analyzed, and the data can visually show the direction of the evolution of literary translation, thus expanding the influence of contemporary Chinese literature.
Exploring the optimization path of teaching in college piano course based on deep learning
Authors: Li Shanshan
Published: September 2023

Piano teaching should not continue to be limited to the mere cultivation of students’ performance skills but should be integrated into curriculum thinking and politics while following the characteristics of the profession. This paper conducts piano teaching experiments through deep learning LSTM algorithm and extracts a series of Civic and Political elements from them as a fitting point of piano teaching and curriculum Civic and Political to discuss, using multiple teaching modes to strengthen the cultural transmission of piano courses to improve students’ ideological and moral level and comprehensive quality. The experimental results show that the accuracy of the deep learning LSTM algorithm based on the integration of the deep learning piano course curriculum Civics is stable up to 98.17%, the average false detection rate is stable at 1.97%, the average positive recall rate is stable at 94.7%, and the negative recall rate is 73.2%, and the LSTM algorithm improves the integration degree by 31% compared with the traditional SVMSGD and RF algorithms. It shows that carrying out experiments of deep learning based on deep learning for teaching Civics in college piano courses effectively strengthens the cultural transmission of piano courses and improves students’ ideological and moral level and comprehensive quality.
Research on rural employment and entrepreneurship of undergraduates in the context of a rural revitalization strategy
Authors: Chang Liang , Chen Fang , Li Xuchao , He Hai
Published: September 2023

Exploring rural employment and entrepreneurship of undergraduate graduates in the context of rural revitalization strategy is conducive to providing human resources for rural revitalization. This paper starts from the Gaussian mixture model, introduces the specific principle of the Gaussian mixture model, then introduces the EM algorithm under the data mining algorithm, and points out that the EM algorithm is often used as an iterative optimization method for great likelihood estimation, and explains the principle and process steps of the algorithm in detail. The EM algorithm is used to solve the logarithmic great likelihood estimate of the Q function with conditional probability density function, and then the EM algorithm is applied to the Gaussian mixture model to update the values of its parameters, and the performance of the EM-GMM algorithm is also evaluated. Finally, the EM-GMM algorithm analyzes the impact of employment unit preference and employment promotion policies on the undergraduate graduates of four universities in a certain area. From the performance evaluation, the algorithm’s accuracy in this paper is 94.54%, which is 21.29 and 5.02 percentage points higher than that of the K-means-EM algorithm and FCM-EM algorithm, respectively. Regarding employment unit preference, 45.82% and 22.09% of undergraduate graduates are more inclined to be employed in township government agencies, state-owned enterprises, and institutions. Promoting rural employment and entrepreneurship of undergraduate graduates requires strengthening employment guidance and employment concept correction to provide fresh blood for rural revitalization.
Analysis of the framework for realizing core literacy in teaching physical education and health curriculum based on the ordinary differential error approximation method
Authors: Zhu Liang , Gu Rong
Published: September 2023

The key to implementing the fundamental task of establishing moral education is how the abstract and broad physical education and health curriculum core literacy is translated into concrete and visible physical education and health subject curriculum and teaching practice. This paper firstly explains the framework for the realization of core literacy in PE and health curriculum in teaching and learning, specifically from three perspectives: context, health behavior, and physical virtue. Secondly, the abstract core literacy of physical education and health curriculum is transformed into a side problem of ordinary differential equation with unknown parameter initial values by using the method of ordinary differential error approximation, which can obtain the parametric expressions of the approximation of function values at the nodes and realize the concretization. The experimental results show that there is a significant difference between the core literacy of physical education and health curriculum based on the ordinary differential error approximation method before and after the application of the core literacy in teaching, in which the comprehensive improvement of motor ability is 23.7%, the comprehensive improvement of health behavior is 19.2%, and the comprehensive improvement of physical morality is 26.6%. This paper successfully visualized the core literacy issues of physical education and health curriculum based on the ordinary differential error approximation method, which provided a reference for physical education teaching, improved the professional competence and quality of school physical education teachers, and formed the characteristics of school physical education and health curriculum.
The contemporary value and effective application of red education in college Civic and Political Education
Authors: Li Xiushan , Xu Wei , Jiang Lijie , Zhou Rong
Published: September 2023

Exploring the value and application of red education in college civic education is to inherit the red spirit better. Based on big data analysis technology, this paper constructs a wisdom Civic Education platform to analyze the value and application of red education integration in college Civic Education. Firstly, the density peak clustering algorithm is used to classify and analyze the data of college Civic Education, then the improved fruit fly optimization algorithm is used to filter and analyze the data of the density peak clustering algorithm, and finally, the TCFOA-DPC algorithm is used to mine and analyze the application of red education in college Civic Education. To verify the practicality of the wisdom Civic Education platform constructed in this paper, simulation experiments are conducted to analyze it. From the performance evaluation, the detection rate of red education resources by the platform of this paper can reach 98.27%, the false alarm rate is 2.43%, and the leakage rate is only 0.95%. In terms of application value, the platform of this paper taps into the incentive, attractiveness, inquiry, and identity in red education with percentages of 75.84%, 79.08%, 85.40%, and 81.96%, respectively. Thus, the intelligent Civic Education platform based on big data analysis technology can effectively analyze the application of red education in university Civic Education, which is conducive to increasing the transmission and development of the red spirit.
The mechanism of innovation-driven emerging technology generation based on big data fusion in the perspective of technological self-reliance and self-improvement
Authors: Ji Xionnong , Qin Jingran , Wu Juyi , Zhang Yachao
Published: September 2023

Emerging technologies create opportunities for later adopters to achieve technological and economic leapfrogging and are highly valued by governments and enterprises. In this paper, we first screen the key factors influencing innovation drive through data region feature extraction to achieve a synergistic innovation effect between collaborative innovation and R&D subjects. Secondly, the multidimensional data are fused, and the feature extraction is performed using Transformer’s encoder (Encoder) structure, and the bidirectional coding of the input sequence text is realized using the supporting MLM training method. Finally, by comparing the analysis with other multimodal fusion methods in the constructed real dataset, the high performance of this method on emerging technology innovation-driven problems is demonstrated. The experimental results show that the absolute path coefficient of the innovation environment on collaborative innovation capability is 0.728 and the standardized coefficient is 0.835, which indicates that the innovation environment has a significant positive correlation with the innovation capability of emerging technology R&D subjects. The innovation-driven performance of science and technology emerging technology generation mechanism based on big data fusion technology is improved by 34.2%. The innovation-driving model based on big data fusion technology proposed in this paper plays a positive role in promoting the agglomeration of emerging industries and effectively improves the innovation ability and the conversion rate of R&D results of emerging enterprises, which is of great strategic significance for future economic development.
Total and individual PBC-40 scores are reliable for the assessment of health-related quality of life in Greek patients with primary biliary cholangitis
Authors: I. Rigopoulou Eirini , Bakarozi Marianna , Dimas Ioannis , Galanis Konstantinos , Lygoura Vasiliki , K. Gatselis Nikolaos , Koulentaki Mairi , N. Dalekos George
Published: September 2023

Background

Primary biliary cholangitis (PBC) has been long associated with impairment of various aspects of health-related quality of life (HRQoL) with substantial differences among populations. This study evaluated for the first-time the HRQoL in Greek PBC patients in conjunction with clinical and laboratory parameters of patients.

Methods

We analyzed prospectively collected data regarding the HRQoL by using the PBC-40 and SF-36 questionnaires in 374 Greek PBC patients and 131 age- and sex-matched non-PBC controls.

Results

The PBC-40 questionnaire is a reliable tool for HRQoL assessment in Greek PBC patients (Cronbach's α > 0.7 for all domains). Implementation of PBC-40 and SF-36 demonstrated significant impairment of HRQoL in Greek PBC patients compared to controls (P < 0.001 for all comparisons). Emotional dysfunction, social impairment, and fatigue (100%, 80.5% and 78%, respectively) were amongst those with the highest, while cognitive dysfunction (32%) with the least impact on quality of life. Fatigue was associated with female sex (P = 0.02), longer disease duration (P = 0.01), presence of cirrhosis (P = 0.02) and positivity for PBC-specific ANA (P < 0.05), while social dysfunction with increased age (P < 0.001), longer disease duration (P < 0.001) and presence of cirrhosis (P = 0.004). Living in urban areas was linked to impaired social function (P = 0.04), cognition (P = 0.02), fatigue (P = 0.04) and increased total PBC-40 score (P = 0.01).

Conclusions

Implementation of PBC-40 and SF-36 revealed impaired HRQoL in Greek PBC patients with fatigue, social and emotional dysfunction exerting the highest impact. However, total, and individual PBC-40 scores were lower than that reported in studies from Northern/Central Europe and Canada. Deranged HRQoL was associated with severity of liver disease and presence of PBC-specific ANA.
FOSL2 participates in renal fibrosis via SGK1-mediated epithelial-mesenchymal transition of proximal tubular epithelial cells
Authors: Liu Naiquan , Li Dongyang , Liu Dajun , Liu Ying , Lei Jing
Published: September 2023

Background

Fos-related antigen 2 (FOSL2) plays a facilitative role in fibrotic disease; however, its role in renal fibrosis remains unclear. This study aimed to clarify the role and underlying mechanisms of FOSL2 in renal fibrosis.

Methods

Upregulated genes in unilateral ureteral obstruction (UUO)-injured kidneys were screened in Gene Expression Omnibus (GEO) databases, and overlapping genes were identified using Venn diagram software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed for these genes. The UUO-induced mouse model and transforming growth factor-β1 (TGF-β1)-induced cell model were used for the in vivo and in vitro studies.

Results

A total of 43 commonly upregulated genes were identified. GO and KEGG pathway analyses indicated that FOSL2 may be involved in fibrosis. Furthermore, FOSL2 was confirmed to be upregulated in UUO-injured kidneys and TGF-β1–induced cells. Knockdown of FOSL2 ameliorated interstitial fibrosis, extracellular matrix deposition, and epithelial-mesenchymal transition via the downregulation of fibronectin, α-smooth muscle actin (α-SMA), collagen type I (Col1a1 and Col1a2), and Col5a1 and upregulation of E-cadherin. Bioinformatics analysis revealed that serum/glucocorticoid regulated kinase 1 (SGK1) may be regulated by FOSL2 and involved in renal fibrosis. Further experiments confirmed that TGF-β1 enhanced SGK1 expression and transcription, which were reversed by FOSL2 silencing. Moreover, FOSL2 was bound to the SGK1 promoter, and SGK1 overexpression reversed the effects of FOSL2 silencing in TGF-β1–induced cells.

Conclusion

FOSL2 plays an essential role in promoting renal fibrosis in an SGK1-dependent manner, and targeting the FOSL2/SGK1 signaling axis may offer a potential strategy for the treatment of renal fibrosis.
Mini-dose methotrexate combined with methylprednisolone as a first-line treatment for acute graft-versus-host disease: A phase 2 trial
Authors: Xu Zhengli , Mo Xiaodong , Kong Yuan , Wen Qi , Han Tingting , Lyu Meng , Xu Lanping , Chang Yingjun , Zhang Xiaohui , Huang Xiaojun , Wang Yu
Published: September 2023

Background and Objectives

Acute graft-versus-host disease (aGvHD) remains a major complication after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Methylprednisolone (MP; 1–2 mg/kg/day) remains the standard first-line therapy for aGvHD, although no response is detected in nearly one-half of the patients with aGvHD. This study aimed to investigate the feasibility of mini-dose methotrexate (MTX) combined with standard-dose MP as a front-line therapy for aGvHD.

Materials and Methods

A prospective Phase 2 clinical trial was performed to evaluate the safety and efficacy of 5 mg/m2 MTX combined with 1 mg/kg/day MP as the initial therapy in 31 patients with aGvHD. Moreover, the effects of MTX combined with MP were explored in a humanized xenogeneic murine model of aGvHD.

Results

The overall response and complete response rate at 7 days after the initial treatment were 100% and 83%, respectively. The overall response rate on day 28 was 87%. The complete response rates for aGvHD grades I, II, and III were 100% (6/6), 82% (18/22), and 66% (2/3), respectively. Grade 3 toxicities occurred in only three patients presenting with cytopenia. Importantly, MTX and MP demonstrated synergistic effects on ameliorating aGvHD in humanized xenogeneic murine model.

Conclusion

The current study suggests that mini-dose MTX combined with standard-dose MP could potentially become a novel first-line therapy for patients with aGvHD.
Long-term outcomes of esophageal and gastric cancer patients with cardiovascular and metabolic diseases: A two-center propensity score-matched cohort study
Authors: Zhou Bo , Wang Zhixin , Dou Qifeng , Li Wenbin , Li Yangyang , Yan Zhengqiang , Sun Peisheng , Zhao Baosheng , Li Xiumin , Shen Fangfang , Zhang Bangjie , Guo Mingzhou
Published: September 2023

Background and Objectives

An increased risk of cardiovascular and metabolic diseases (CVMDs) among patients with cancer suggests a potential link between CVMD and cancer. The impact of CVMD on the survival time of patients with esophageal and gastric cancer remains unknown. We aimed to determine the incidence of CVMD and its impact on the longterm outcomes in esophageal and gastric cancer patients.

Methods

A total of 2074 cancer patients were enrolled from January 1, 2007 to December 31, 2017 in two hospitals, including 1205 cases of esophageal cancer and 869 cases of gastric cancer, who were followed up for a median of 79.8 and 79.3 months, respectively. Survival time was analyzed using the Kaplan–Meier method before and after propensity score matching.

Results

The incidence of CVMD in patients with esophageal and gastric cancer was 34.1% (411/1205) and 34.3% (298/869), respectively. The effects of hypertension, diabetes, and stroke on the long-term survival of esophageal and gastric cancer patients were not significant (all P > 0.05). The survival time was significantly longer in esophageal cancer patients without ischemic heart disease than in patients with ischemic heart disease, both before matching (36.5 vs. 29.1 months, P = 0.027) and after matching (37.4 vs. 27.9 months, P = 0.011). The survival time in gastric cancer patients without ischemic heart disease was significantly longer than in patients with ischemic heart disease, both before (28.4 vs.17.5 months, P = 0.032) and after matching (29.5 vs.17.5 months, P = 0.02).

Conclusion

The survival time of esophageal and gastric cancer patients with ischemic heart disease was significantly reduced compared to that of esophageal and gastric cancer patients without ischemic heart disease.
Formulasi dan Evaluasi Sediaan Blemish Balm Cream yang Mengandung Ekstrak Kulit Buah Delima (Punica granatum L.) sebagai Anti-aging dan Tabir Surya
Authors: Ismoyo Mellynia , Yoedistira Chresiani Destianita , Monica Eva
Published: September 2023

Dewasa ini seringkali muncul keluhan terkait kesehatan kulit wajah, dimana diantaranya meliputi kulit kering, keriput, dan tampak kusam. Salah satu cara menjaga kulit wajah agar tetap sehat yaitu dengan penggunaan Blemish Balm Cream. BB cream merupakan sediaan kosmetik wajah berbentuk ringan daripada foundation yang terdiri dari formula face powder dan foundation cream. Sediaan tersebut memiliki kandungan antioksidan cukup tinggi yang dilengkapi perlindungan terhadap sinar matahari dengan tingkat coverage medium. Kandungan polifenol kuat seperti flavonoid dan tanin pada kulit buah delima dapat memberikan manfaat sebagai antioksidan serta bahan tabir surya. Penelitian ini dilakukan agar mendapatkan formulasi yang optimum dari hasil evaluasi sediaan BB Cream dengan ekstrak kulit buah delima. Hasil evaluasi mutu selanjutnya diterapkan dengan pengujian organoleptis, homogenitas, tipe krim, stabilitas, hedonik, daya sebar, daya lekat, pH, viskositas, dan distribusi ukuran partikel. Selanjutnya dilakukan pengujian aktivitas antioksidan dan aktivitas tabir surya secara in vitro pada sediaan. Hasil penelitian menunjukkan konsentrasi ekstrak kulit delima sebesar 15% menghasilkan nilai antioksidan paling optimum sebesar 33,651 ppm dan nilai SPF sebesar 6,493. Dari hasil tersebut menunjukkan bahwa sediaan BB Cream tersebut cocok untuk dikembangkan lebih lanjut untuk manfaat anti-aging dan tabir surya.
Hubungan Durasi Penggunaan Gawai dengan Kejadian Astenopia pada Mahasiswa Program Studi Keperawatan saat Pandemi COVID-19
Authors: Mentari Delia , Mita Mita , Righo Argitya
Published: September 2023

Astenopia merupakan keluhan subjektif pada mata yang disebabkan adanya gangguan pada sistem akomodasi mata yang berkaitan dengan aktivitas yang dilakukan seperti penggunaan gawai. Gejala astenopia dapat berupa gejala okuler, gejala visual dan gejala ekstraokuler. Penelitian ini bertujuan untuk mengidentifikasi hubungan durasi penggunaan gawai dengan kejadian astenopia.  Penentuan sampel menggunakan stratified random sampling dan dilanjutkan dengan teknik purposive sampling sehingga jumlah responden yang diperoleh sebanyak 203 orang. Instrumen yang digunakan terdiri dari kuesioner durasi penggunaan gawai dan Visual Vatigue Index. Uji hipotesis menggunakan uji korelasi Spearman rho. Hasil analisa data didapatkan 3,9% responden memiliki durasi penggunaan gawai ringan, 79,8% durasi penggunaan gawai sedang dan 16,3% durasi penggunaan gawai berat. Kemudian 28,6% responden tidak mengalami astenopia dan 71,4% responden mengalami astenopia serta tidak terdapat hubungan antara durasi penggunaan gawai dengan kejadian astenopia (p=0,422 atau p>0,05). Tidak terdapat hubungan antara durasi penggunaan gawai dengan kejadian astenopia pada mahasiswa Program Studi Keperawatan saat pandemi COVID-19.
Review: Single Chain Fragment Variable sebagai Pemandu Diagnosis dan Terapi Bertarget Human Epidermal Growth Factor Receptor 2 Kanker Payudara
Authors: Priskila Miranda , Febrina Ellin
Published: September 2023

Single chain fragment variable (scFv) merupakan antibodi rekombinan yang terdiri dari bagian fragmen antigen-binding (Fab) antibodi dengan ukuran sangat kecil sekitar 26 -27 kDa. Secara umum scFv bersifat stabil ,dikode oleh satu gen sehingga akan mempermudah modifikasi genetik. Dibandingkan dengan antibodi lengkap, scFv yang memiliki aktivitas pengikatan antigen yang serupa memiliki kelebihan lain diantaranya adalah ukurannya yang kecil, penetrasi ke pembuluh darah dan jaringan yang lebih baik, serta imunogenisitas yang lebih rendah. Oleh karena itu, scFv memiliki potensi yang sangat baik untuk digunakan sebagai senyawa pemandu diagnosis maupun terapi penyakit. Hasil dari berbagai penelitian menunjukkan scFv anti-HER2 (Human Epidermal Growth Factor Receptor 2) dapat digunakan sebagai pemandu pada diagnosis kanker payudara HER2+ baik menggunakan Magnetic Resonance Imaging (MRI) ataupun positron-emission tomography (PET). Pada terapi kanker payudara bertarget reseptor HER2, scFv anti HER2 juga memiliki potensi digunakan sebagai pemandu untuk imunotoksin, antibody drug conjugate (ADC), prodrug, dan pretargeted radioimmunotherapy (PRIT).
Kajian Peresepan pada Pasien Geriatri dengan Gangguan Sistem Endokrin
Authors: Cahyaningsih Indriastuti , Latifah Faizah Nurul , Maziyyah Nurul , Orbayinah Salmah
Published: September 2023

Pertambahan usia dapat mempengaruhi kinerja fungsi organ tubuh dan berdampak terhadap rentannya populasi geriatri terserang penyakit, diantaranya adalah gangguan pada sistem endokrin. Geriatri memiliki resiko lebih besar untuk mendapatkan terapi polifarmasi sehubungan dengan penyakit dan komplikasi yang dideritanya. Polifarmasi dapat meningkatkan resiko peresepan obat yang tidak tepat atau Potentially Inappropriate Medications (PIMs). Penelitian ini dilakukan untuk mengetahui hasil kajian peresepan obat pada pasien geriatri dengan diagnosis gangguan endokrin. Penelitian ini merupakan penelitian deskriptif observasional dengan desain penelitian menggunakan desain cross–sectional. Pengumpulan data dilakukan secara retrospektif dari 211 rekam medis pasien geriatri yang dirawat inap di salah satu rumah sakit rujukan di Bantul, Indonesia dengan diagnosis gangguan pada sistem endokrin periode tahun 2018. Pengambilan sampel penelitian menggunakan teknik systematic random sampling dengan analisis data mengacu pada Beers Criteria 2019. Hasil penelitian menunjukkan bahwa terdapat 135 (63,9%) pasien dengan peresepan PIMs berdasarkan Beers Criteria 2019 dengan persentase obat terbesar adalah furosemide sebanyak 65 (30,8%) pasien. Dapat disimpulkan bahwa PIMs pada pasien geriatri dengan gangguan sistem endokrin tergolong tinggi sehingga membutuhkan perhatian dari tenaga kesehatan agar peresepan obat dapat aman dan efektif.
Implementasi SEM-Multiple Linear Regression dalam Prediksi Jumlah Pendaftaran Mahasiswa Baru di Perguruan Tinggi XYZ
Authors: Rahmadhani Amelia , Sihabudin Sahid Dadang Syarif , Lulu Widyasari Yohana Dewi
Published: September 2023

Bagi perguruan tinggi swasta (PTS), tidak menutup kemungkinan semakin banyak mahasiswa baru yang diterima, maka PTS tersebut akan terus eksis. Sebaliknya, jika PTS gagal menambah atau bahkan menurunkan jumlah mahasiswa baru setiap tahunnya, hal itu bisa berubah dengan tidak mampu beroperasi lagi bagi PTS dikarenakan pendapatan mereka satu-satunya hanya dari biaya kuliah mahasiswa. Tujuan penelitian ini diantaranya penentuan faktor-faktor yang mendukung prediksi pendaftaran mahasiswa di perguruan tinggi berdasarkan data sebelumnya, mengimplementasikan Multiple Linear Regression terhadap pendaftaran mahasiswa di perguruan tinggi, dan menganalisis tingkat akurasi hasil prediksi pendaftaran mahasiswa di perguruan tinggi. Penelitian ini menggunakan algoritma Multiple Linear Regression. Sebelum melakukan tahap prediksi, terlebih dahulu menentukan faktor-faktor yang mempengaruhi jumlah penerimaan mahasiswa baru menggunakan Structural Equation Modeling (SEM) dengan faktor promosi, biaya Pendidikan, tingkat kelulusan, informasi pendafataran, jenis kelamin dan nilai akreditasi. Berdasarkan hasil SEM didapat faktor promosi, biaya Pendidikan, tingkat kelulusan, informasi pendafataran, dan nilai akreditasi, dapat dilanjutkan ke tahap berikutnya karena faktor tersebut berpengaruh signifikan terhadap mahasiswa baru, sedangkan hasil prediksi menggunakan Multiple Linear Regression didapat bahwa nilai prediksi untuk tahun berikutnya adalah 486 orang calon mahasiswa baru, dengan hasil perhitungan MSE adalah 2657,79 dan MAE adalah 42.29, dimana semakin kecil hasil nilai MSE dan MAE yang diperoleh maka kesalahan pada sistem juga semakin sedikit serta R2 adalah 0.9280 (92,80%) menandakan bahwa pengaruh semua struktur eksogen pada struktur endogen kuat.
Implementasi Sistem Klasifikasi Tim Kerja Menggunakan Algoritma Naïve Bayes (Studi Kasus: PT.MNL)
Authors: Angelya Tasya , Rahman Abdul , Pradesan Iis
Published: September 2023

PT.MNL adalah perusahaan swasta yang bergerak dibidang jasa kehutanan khususnya Hutan Tanaman Industri. Perusahaan memiliki banyak areal kerja yang memiliki banyak tim kerja di semua arealnya. Mengingat besarnya tim kerja, pemilik perusahaan harus bisa menjaga kinerja tim kerjanya agar selalu berada dalam posisi baik. Dengan semakin banyaknya tim kerja maka data yang masuk ke dalam perusahaan semakin banyak pula, data-data tersebut tentunya perlu dimanfaatkan dengan cara mengolah dan menganalisis untuk menghasilkan suatu informasi yang berguna bagi perusahaan. Sehingga dapat digunakan dalam mengklasifikasikan seluruh anggota-anggota tim pada lokasi kerja tertentu. Maka dari itu, diperlukan sebuah teknologi Data Mining yang dapat membantu perusahaan dalam memilah nama tim yang sebaiknya dipilih. Metode yang dipakai untuk klasifikasi tim kerja adalah algoritma Naïve Bayes. Penelitian ini menghasilkan tingkat akurasi klasifikasi sebesar 93,66%, hasil recall 90,74% serta hasil precision sebesar 88,58% sehingga hal ini menunjukkan bahwa sistem klasifikasi tim menggunakan algoritma Naive Bayes dapat digunakan oleh pemilik perusahaan sebagai bahan pertimbangan dalam mengatur persebaran tim di setiap lokasi kerja.
Sistem Pendukung Keputusan Pemilihan Cafe Bagi Mahasiswa Kota Pontianak Dengan Metode SAW
Authors: Hanin Noerul , Adi Ahmad Cahyono
Published: September 2023

Pontianak merupakan salah satu kota yang memiliki banyak perguruan tinggi sehingga banyak orang dari berbagai daerah yang pergi ke kota ini untuk melanjutkan studi ke jenjang perguruan tinggi. Untuk menunjang kegiatan selama studi, mahasiswa membutuhkan fasilitas yang mendukung, seperti cafe yang menjadi salah satu tempat untuk mahasiswa mengerjakan pekerjaannya. Banyaknya cafe di Kota Pontianak menyebabkan mahasiswa memerlukan kriteria kualitas untuk menentukan cafe yang ideal untuk menunjang berbagai kegiatan. Beberapa kriteria yang diperlukan mahasiswa dalam menentukan cafe yang ideal antara lain yaitu fasilitas yang diberikan, lokasi cafe, serta suasana cafe. Kriteria kualitas cafe ini dapat ditentukan secara otomatis menggunakan sebuah sistem pendukung keputusan. Sistem ini menggunakan metode SAW (Simple Addictive Weighting) yang dapat mengklasifikasikan cafe bagi mahasiswa apakah tergolong ideal atau tidak. Hasilnya, semua cafe dapat diberi predikat dengan kriteria yang telah ditentukan, dimana pada simulasi ini, Cafe B adalah cafe yang paling ideal dengan nilai preferensi 0.78. Dengan adanya sistem rekomendasi pemilihan cafe bagi mahasiswa, diharapkan mampu memberikan manfaat bagi mahasiswa dalam memilih tempat cafe dan dapat memberi referensi bagi pemilik cafe tentang kriteria cafe yang dapat menarik bagi mahasiswa.
Constraints, Interventions and Prospects for Improving Pearl Millet (Pennisetum glaucum L) Production in the State of Eritrea - A review
Authors: okumu Oliver , Wendot Philip , N TesFamichael
Published: September 2023

Pearl millet (Pennisetum glaucum L.) is the second most important cereal grown in Eritrea after sorghum (Sorghum bicolor L.) grown under low input systems by small scale farmers. The crop utilizes soil moisture efficiently and has ability to tolerate soil toxicity and extreme temperatures than other cereals. It is a sustenance and food security crop important for its nutritive and cultural value and provides dietary energy and nutrition. However, despite the positive attributes and qualities of pearl millets for the present and future agriculture, production has been low. We attribute this to inadequate rainfall distribution, poor crop management by poorly resourced farmers, unavailability and high prices of farm inputs such as fertilizer and pesticides and low adoption of improved varieties by the farmers. This review outlines the constraints, interventions the government/ farmers have and can implement and the prospects of actions that can improve pearl millet production. As much as there have been efforts by the government and stakeholders to address these challenges and improve productivity of pearl millet, more needs to be done to meet the increasing demand of the increasing populations. This will enable farmers to intensify and diversify their agricultural systems and improve food security situation in the country. Unless a combined effort in soil fertility improvement, policies to promote use of modern varieties and conservation of and promotion of this crop biodiversity, the potential of this crop as famine and poverty alleviation among the rural poor will not be realized.
¿Neuro-orientación vocacional? La elección de carrera profesional basada en la especialización funcional del cerebro.
Authors: Manrique Aristizabal Julian Andres , Martinez Florez Juan Felipe , Valenzuela Reinoso Hector Orlando
Published: September 2023

Introducción.  Este estudio pretende someter a evaluación el modelo de dominancia cerebral de cuatro cuadrantes con el fin de contribuir a ampliar el debate de cómo la psicología cognitiva y la neurociencia pueden articularse con teorías de educación.
Método.  Mediante un diseño transversal de tipo descriptivo, se realizó la evaluación del perfil de aptitud profesional y la medición de la actividad cerebral con EEG a un grupo de 34 estudiantes de último año de educación secundaria mientras resolvían cuatro tareas cognitivas: razonamiento numérico, seguimiento de instrucciones, reconocimiento de emociones y rotación viso-espacial.  
Resultados. Los perfiles de aptitud profesional y el desempeño en las tareas cognitivas no se encuentran relacionados consistentemente con la actividad cerebral del cuadrante especifico al que se adscriben. Por otro lado, se aprecia que las puntuaciones en los perfiles de aptitud profesional varían de acuerdo con el ritmo eléctrico (alfa y beta) que exhiben los estudiantes al realizar las tareas cognitivas.
Discusión y conclusiones.  Los datos reportados contradicen el modelo de especialización cerebral por cuadrantes, siendo más congruentes con otras aproximaciones teóricas que conciben el funcionamiento cerebral a partir de redes neuronales de cooperación selectiva. Este estudio aporta evidencia empírica sobre las huellas fisiológicas de la cognición de dominio especifico, siendo importante para generar estrategias prácticas que permitan potenciar el aprendizaje, la evaluación o la orientación vocacional.
A bifactor-based Academic PsyCap Questionnaire for students and fresh graduates

Authors: Colledani Daiana , Anselmi Pasquale , Fabbris Luigi , Robusto Egidio
Published: September 2023

Introduction.  In the last two decades, great attention has been devoted to the four dimensions of the psychological capital (PsyCap): self-efficacy, hope, optimism, and resilience. These individual differences have been found to positively influence both academic and professional outcomes. This work aims to develop a bifactor-based version of the Academic PsyCap Questionnaire (APCQ), which is an instrument specifically meant for students and fresh graduates.
Method.  Cross-sectional data were collected in a large sample of Italian fresh graduates (N = 1,603).  Data were analysed through exploratory and confirmatory factor analysis. The invariance of the APCQ across males and females and across bachelor and master graduates was tested through Multiple-Group Confirmatory Factor Analyses. The relationships of the scores at the APCQ and its four scales with the soft skills were explored through Pearson’s correlations.
Results.  The questionnaire includes 20 items that have been found to adequately assess the four dimensions of self-efficacy, resilience, optimism, and hope, as well as the general factor of psychological capital.  The bifactor structure of the instrument is in line with the definition of PsyCap in the literature. The APCQ was found to be invariant across genders and levels of academic degrees. Moreover, the APCQ scales were found to be positively associated with a set of soft skills that are relevant to achieving academic and professional success.
Discussion and Conclusion.  The paper provides researchers, practitioners, and educators with a valid and reliable instrument that may help them to effectively evaluate PsyCap dimensions in students and fresh graduates in order to design effective interventions and tailored educational programs.
Antimicrobial Susceptibility of uropathogens-isolated from Nlalecatheterized patients
Authors: A. Ali AIaa
Published: September 2023

A total of 34 catheterized paraplegic patients with age range between 22-53 years old at Dijlah Rehacilitation Hospital (DRH) in Tikrit with signs and symptoms of urinary tract infection ( UTI ) were studied . All 34 ( lA0% ) patients were positive for significant UTI. The highest prevalent pathogen was Escherichia coli (47%). Only in 30 patients , the bacteriuria was associated with pus cells . Most of isolated organisms were highly sensitive to augmentin , ciirroiloxacin and cefatoxime