bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring HE4 alongside CA125 for Ovarian Cancer Diagnosis: A pilot clinical study
Authors: S Michael Crawford , Evans Colin , Shaw Alison , E Chloe Barr , Crosbie Emma 
Published: September 2023

[The Instructions to Authors state no abstract is required for a
Research Letter but the submission sysem demands one, so this text is
included.] In order to assess whether measuring HE4 might add to the
performance of CA125 in diagnosing ovarian cancer, we measured both
markers in 33 individuals with elevated CA125. We found that HE4
elevated above 150 pmol/l was present in all 9 cases of ovarian cancer
and in the single case of pancreatic cancer. HE4 levels below 77pmol/l
seen in 16 cases were associated with non-malignant gynaecological
conditions and with there being no identified cause for elevated CA125.
Two cases with HE4 between 77 and 149 pmol/l had no gynaecological
conditions and 2 had no an identifiable cause. Measuring both markers
could lead to improved sensitivity and specificity of the initial
diagnostic step.
PENERAPAN MODEL BLENDED LEARNING BERBANTUAN GOOGLE CLASSROOM UNTUK MENINGKATKAN AKTIVITAS DAN PRESTASI BELAJAR MATEMATIKA
Authors: L.H. Hapipi  , I.G.P. Sudiarta  , I.G.P. Suharta  
Published: September 2023

Penerapan model Blended Learning berbantuan Google Classroom dalam pembelajaran matematika bertujuan untuk meningkatkan aktivitas dan prestasi belajar matematika siswa. Penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan dalam tiga siklus. Subjek dalam penelitian ini adalah 32 orang siswa kelas XI MIPA 2 MAN Buleleng. Hasil penelitian menunjukkan persentase skor aktivitas belajar siswa meningkat dari siklus ke siklus dan mencapai kriteria baik pada akhir siklusnya, dengan persentase skor aktivitas belajar siswa pada siklus I, siklus II, dan siklus III berturut-turut yaitu 46%, 63,68% dan 70,62%. Skor rata-rata tes prestasi belajar matematika siswa yang berada pada kriteria tuntas meningkat pada setiap siklusnya yaitu 41,28, 67,44 dan 81,66 dengan persentase ketuntasan belajar klasikal siswa pada setiap siklusnya yaitu 21,87%, 59,37% dan 87,5%. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan model Blended Learning berbantuan Google Classroom dapat meningkatkan aktivitas dan prestasi belajar matematika siswa kelas XI MIPA 2 MAN Buleleng.

Kata kunci: blended learning, google classroom, aktivitas belajar, prestasi belajar matematika
EFEKTIVITAS MODEL PEMBELAJARAN PROJECT BASED LEARNING BERBASIS GAMIFIKASI TERHADAP KEMAMPUAN PENALARAN MATEMATIS SISWA
Authors: J. Ibrahim  , F. Rahmawati  
Published: September 2023

Siswa SMP N 2 Temanggung memiliki kemampuan penalaran matematis sedang, berdasarkan tes yang telah dilakukan. Hal ini disebabkan oleh fakta bahwa siswa tidak memiliki minat atau keinginan untuk belajar di kelas, dan mereka masih cenderung pasif. Oleh karena itu, model pembelajaran yang menyenangkan dan dapat menarik minat siswa untuk berpartisipasi secara aktif di kelas sangat penting. Penelitian ini bertujuan untuk menganalisis tingkat ketuntasan kemampuan penalaran matematis siswa yang diajar dengan model PjBL berbasis gamifikasi serta siswa yang diajar dengan model PjBL saja. Selanjutnya yaitu menganalisis kemampuan penalaran matematis siswa dengan model PjBL berbasis gamifikasi dibandingkan dengan model PjBL saja serta menganalisis peningkatan kemampuan penalaran matematis siswa dari kedua kelas. Penelitian ini merupakan quasi eksperimen yang menggunakan desain grup kontrol pretest-postest dengan cluster random sampling. Kelas VIII G terpilih sebagai kelas eksperimen dan Kelas VIII H terpilih sebagai kelas kontrol. Instrumen yang digunakan termasuk pedoman wawancara, lembar observasi keterlaksanaan pembelajaran, lembar validasi, dan soal tes kemampuan penalaran matematis siswa. Pengujian hipotesis menggunakan uji statistik Z untuk hipotesis pertama dan kedua, uji Independent Sample t-Test untuk hipotesis ketiga, serta uji Paired Sample t-Test dan analisis N-Gain untuk hipotesis keempat. Hasil uji hipotesis pertama diperoleh z-hitung = -1,48 < -z-tabel = -1,64 dimana H0 diterima dan hasil uji hipotesis kedua diperoleh z-hitung = -5,19 < -z-tabel = -1,64 dimana H0 ditolak. Selanjutnya hasil uji hipotesis ketiga diperoleh nilai t-hitung = -2,56 < t-tabel = 2,05 dimana H0 ditolak. Terakhir hasil uji hipotesis keempat kelas eksperimen diperoleh t-hitung = -4,83 < t-tabel = 2,05 dimana H0 ditolak, pada kelas kontrol diperoleh nilai t-hitung = -2,56 < t-tabel = 2,05 dimana H0 ditolak juga, sedangkan perhitungan N-Gain kelas eksperimen dan kelas kontrol masing-masing diperoleh skor 0,30 dan 0,14. Berdasarkan pengujian didapat kesimpulan bahwa kemampuan penalaran matematis siswa di kelas eksperimen mencapai ketuntasan secara klasikal. Sedangkan kelas kontrol belum mencapai ketuntasan secara klasikal. Selanjutnya rata-rata kemampuan penalaran matematis siswa kelas eksperimen lebih baik daripada kelas kontrol, serta peningkatan kemampuan penalaran matematis siswa kelas eksperimen pada kategori sedang, sedangkan peningkatan kemampuan penalaran matematis siswa kelas kontrol pada kategori rendah.
Pengaruh Pupuk Organonitrofos dan Volume Irigasi Terhadap Pertumbuhan Mint (Mentha piperita L.) Organik
Authors: Triyono Sugeng , Marisa Marisa , Haryanto Agus 
Published: September 2023

Mint (Mentha piperita L.) is one of the aromatic herbs. The aim of this research was to investigate the effect of organonitrophos (organic fertizer) and irrigation water volume on the growth and yield of organically cultivated mint. The experiment was conducted in a completely randomized design (CRD) with two factors, namely the dose of organonitrophos consisting of 4 levels: D0 (0%), D1 (10%), D2 (30%), and D3 (50%) of the total weight of the media, and irrigation volume consisting of I1 (20-40%), I2 (50-70%), and I3 (80-100%) of the field capacity. The results showed that the dose of organonitrophos fertilizer and irrigation water volume affected the growth and yield of mint. The treatment that statistically produced the highest oven-dried weight (18.67 grams per plant) was D3I2 (50% compost fertilizer and 50-70% irrigation water). The treatment that produced the highest fresh weight (104.7 grams per plant) and was the most efficient was D2I1 (30% compost dose and 20-40% irrigation water). However, as a consequence, the choice of D2I1 significantly reduced the weight of oven-dried yield to 13.33 grams per plant. Keywords: Organic, Mentha, Piperita, Organonitrofos, Irrigation
Rancang Bangun dan Uji Kinerja Alat Pemisah Kernel Sawit dari Cangkangnya dengan Menggunakan Larutan Garam
Authors: Hidayatullah Martin Sulung , Tamrin Tamrin , Oktafri Oktafri , Warji Warji 
Published: September 2023

. Palm oil has an important role to play in improving the country's foreign exchange. The largest selling point in palm oil is palm kernel oil (PKO), this palm kernel oil processing process involves a mixture of kernels and shells that will later be separated. This research aims to design the build and produce a prototype kernel separator from its shell by using a saline solution to minimize excess costs and able to separate the kernel and shell >80%. Methods carried out in this study include designing, manufacturing and testing. After that, prototype kernel separator with palm shell using salt solution with tool dimensions on container length 53 cm, width 40 cm, height 42 cm, water receiver body length 22 cm, width 16 cm, height 28. The kernel separator with palm shell using this saline solution is able to separate the kernel and shell mixture by 82%. Keywords: Design, Kernel,Palm Oil, Shell, Separation.
Mempelajari Sifat Fisik Kerupuk Berbahan Tepung Melinjo Dan Tepung Gaplek
Authors: Febrianty Alda Monica , Tamrin Tamrin , Kuncoro Sapto , Warji Warji 
Published: September 2023

The taste of crackers can be varied by mixing two or more raw materials. Crackers can be made from a mixture of melinjo flour and cassava (gaplek) flour. The purpose of this study is to know and indentify the physical characteristics of crackers made from a mixture of melinjo flour and geplek flour.This study used a completely randomized design (CRD) with 6 different treatments, these are the mixture of melinjo flour and gaplek flour P1(100%, 0%), P2 (80%, 20%), P3 (60%, 40%), P4 ( 40%,60%), (20%,80%), P6(0%,100%). This study uses several parameters to be measured such a hardness, density, color, taste, and crispness. The result of this study showed that the hardness of each treatment is relatively the same. The density of crackers showed that the higher the melinjo flour content, the higher the density. There was a change in the color of the crackers before and after they were fried. The results showed that the concentration of 20% melinjo flour and 80% cassava flour were the most preferred types of crackers by the panelists. Keywords: Crackers, Gaplek, Melinjo, Physical Characteristics And Mixture
Kinerja Industri Kecil Arang Tempurung Kelapa
Authors: Fadila Nabila Dea , Rahmawati Winda , Suharyatun Siti , Haryanto Agus 
Published: September 2023

Charcoal production from coconut shells is a promising alternative to utilize waste into charcoal products that have high economic value for a small industry. This study aims to determine the feasibility of a small-scale charcoal business that utilizes coconut shell waste. The research was carried out in January 2022 - June 2022 in the Tunas Mandiri coconut shell charcoal industry in Ambarawa Village, Pringsewu Regency. Field observations and sampling were carried out for three times. Parameters observed included process capacity, yield, characteristics of charcoal (density, moisture content, ash content, water absorption, calorific value), and economic analysis of the charcoal industry. The results showed that the Tunas Mandiri charcoal small industry produced two types of coconut shell charcoal, namely low quality charcoal and vacuum charcoal. Vacuum charcoal has good quality, namely water content 8.49%, ash content 2.04%, and calorific value 7475.00 cal/g (meeting the quality requirements of SNI No. 0258–79), while low quality charcoal has a moisture content of 29.92%, ash content of 3.72 %, and the calorific value is 6518.64 cal/g (does not meet the requirements of SNI No. 0258–79). The results showed that the shell charcoal business was economically feasible to run with a fairly high profit reaching Rp. 1,652,666.67 for each charcoal production process for 3-4 days. Keywords: Charcoal, Coconut Shell, Economy, Profit, Small-Scale Industry.
Mempelajari Pengaruh Suhu dan Konsentrasi Larutan Garam Terhadap Kadar Telur Asin Ayam
Authors: Yassa Tharry , Tamrin Tamrin , Rahmawati Winda , Warji Warji 
Published: September 2023

Eggs are one of the sources of protein, fat, minerals, and vitamins that are good for the body. Eggs are prone to deterioration in quality caused by physical damage in the form of cracks that can occur during packing, transportation, and storage. One way to prevent damage is by the salting method. Therefore, it is necessary to soak in a salt solution to become salted eggs. The purpose of this study was to determine the effect of the level of salt concentration and temperature during the immersion of eggs in a salt solution to obtain quality salted eggs. The temperatures used in this research of 50ᵒC, 55ᵒC, 60ᵒC, and 65ᵒC, and salt concentrations of 15%, 20%, and 25%. The parameters observed were the measurement of the salt concentration of the salted egg, the changing color in the salted egg yolk, and the taste test for the saltiness of the salted egg. The results obtained by soaking salted chicken eggs at 60ᵒC at a concentration of the salt solution (15%, 20%, 25%) have met the SNI standard quality of 2% because the higher the concentration of salt solution given, the salt content in the egg will also increase. The taste level of saltiness in salted egg chicken obtained an average score of 3 with the taste of egg with salty egg, in which the salt solution increases according to temperature and concentration. The color of the eggs produced at 60ᵒC and 65ᵒC changed from normal yellow to orange-colored yolk eggs. The increase in temperature and the concentration of different salt solutions on the salted egg yolk color is affected by diffusion currents, and It causes the taste of the salted egg to turn salty. Keywords: Chicken Salt Eggs, Salt Solution, Soaking.
Model Innovation Research of Cultivating Applied Art and Design Talents Based on Environmental Psychology
Authors: Yue Xiang 
Published: September 2023

Abstract
To achieve the training goal of applied innovative talents, this paper designs an innovative model of training applied art and design talents based on environmental psychology to improve the quality level and practical ability of art and design talents. The k-means algorithm is improved by introducing a particle swarm algorithm, using information entropy to verify the effect of the clustering. The improved algorithm is used in developing the talent training model to make the development results more reasonable. Based on the strength of the training performance of each classifier in the random forest, the individual classifiers are weighted to reduce the influence of the poorly performing classifiers on the talent training quality evaluation results. A multi-level fuzzy evaluation model is used to design a quality evaluation index system for applied talent training, which is used to measure the merits of the talent training model. To verify the feasibility of the designed model, the simulation analysis results show that the assessment achievement on course objectives 1-5 reached 0.6784, the average score on design content, methods and ideas was 4.34, and the comprehensive score of talent training quality evaluation was 85.64. It shows that environmental psychology can support the cultivation of applied art and design talents and promote the overall development of applied talents.
A multivariate nonlinear dynamic programming of female figures in Qing dynasty literature
Authors: Zeng Jing , Zhu Guixiang 
Published: September 2023

Abstract
To improve the recognition of female images in Qing Dynasty literature, this paper designs a multivariate nonlinear-based image dynamic programming model. Data-driven typical correlation analysis is used to extract the key controllable variables with the strongest correlation with female image features and use them as input variables for modeling so as to make the maximum correlation between different image features and improve the modeling efficiency. The nonlinear spatial state model is established by using the subspace identification method, and the female image planning model is substituted into the multivariate nonlinear analysis, and the parameters of the nonlinear fitting function about the image planning can be obtained. The simulation analysis of the image dynamic planning model based on multivariate nonlinearity is carried out, and the results show that the average annual failure time of the model designed in this paper is 12.6 hours, and the classification accuracy in female image classification is 96.3%, and the classification time is stable at 1.162 s. The results show that the multivariate nonlinear features of the model can carry out dynamic planning of female images in Qing dynasty literature and improve the classification of image feature recognition.
Teaching Strategies of English Speaking Informatization in Colleges and Universities in the Context of Computer-Assisted Language Learning
Authors: Zhang Zongning , Zhang Xianshi 
Published: September 2023

Abstract
In order to improve the quality of teaching spoken English, this paper reconstructs the semantic structure through the weight matrix, and the association matrix describes the mapping process in the context of computer-assisted language learning. Pooling layer vectors are computed, and translation transformation matrices are encoded in real time so as to extract language vector features. Feature regression evaluation is implemented in a restricted Boltzmann machine to enhance the decoding language target through human-computer interaction, described using nonlinear functions, and the text to be translated is input to the deeply structured semantics, which is processed by weighted averaging to form a spatial vector to complete the input layer mapping process for the utterance. To verify the feasibility of this teaching model, the effectiveness of the teaching strategy is analyzed. The results showed that the variance of spoken English of college students with computer assistance was 0.534, the memory rate increased by at least 0.07, and the value of the number of words memorized by college students increased by more than 98.72%. It can be seen that the proposed information-based teaching model of spoken English in colleges and universities breaks the traditional education method and makes the teaching strategy approach more diversified.
Analysis of the Design and Effectiveness Evaluation of Personalized English Teaching System for Mongolian College Students in Trilingual Context
Authors: Zhang Xiaohua 
Published: September 2023

Abstract
In order to promote the efficient development of English teaching in Mongolian colleges and universities, this paper constructs an English-personalized teaching system based on trilingual background. Firstly, BP neural network algorithm is used to manage and classify students’ learning data information and detect system teaching evaluation indexes by identifying students’ learning behavior characteristics. Secondly, the K-mean clustering algorithm is invoked in the detection process to improve the detection efficiency to ensure the accuracy of obtaining teaching evaluation indexes. Finally, to verify the effectiveness of the teaching system, a practical analysis of its teaching effect is conducted. The analysis results show that the completion rates of the teaching system constructed in this paper are 78.7% and 86% in course learning and course testing, respectively, and 81% and 75% in information management and knowledge management, respectively. And in the experimental group, the grade passing rate was generally improved by about 42.3%. It proves that the personalized English teaching system constructed in this paper effectively improves the teaching quality of Mongolian college students’ English and is beneficial to the long-term development of English teaching in Mongolian colleges and universities.
Dual Construction of “Composition” and “Analysis” in Composition and Technical Theory in the Context of Big Data
Authors: Huang Fei , Liao Meiqun 
Published: September 2023

Abstract
Based on big data technology, this paper firstly collects and pre-processes educational resources and builds a dual teaching system based on two basic concepts of “creation” and “analysis”, combining technology and theory. Secondly, the FCM clustering algorithm is used to cluster the student learning data and get the optimal clustering center, and the Lagrange multiplier method is used to optimize the objective function, identify the student learning characteristics, and conduct a dynamic pre-testing assessment. Finally, the quantum optimization algorithm dynamically assigns the assessment data to eliminate redundant data and construct a feature set library for individual student learning. The practical analysis and application results show that the effect feedback in the two courses of composition and orchestration reached 88% and 93%. In the music analysis and music composition assessments, the percentage of the number of students with performance range values of 100-90 averaged 43% and 42.75%, respectively. In addition, 72.97% of the students found the system helpful in independent learning ability. It indicates that the teaching system constructed in this paper can better serve the teaching of composition technique and further improve the teaching model and process.
Research on the quality of information disclosure of listed companies in the era of big data
Authors: Shen Chengrui 
Published: September 2023

Abstract
In order to further promote listed companies to achieve high-quality development, this paper constructs an information disclosure quality assessment system in the context of the big data era. Through big data technology, information disclosure data of listed companies are collected, stored as well as exported to promote the structuring and standardization of massive data. The KNN algorithm is used to classify and organize information features and define hierarchical categories, thus obtaining a more low-dimensional subset of data features. In evaluating and deciding the indicator weights among the levels, the class weights and maximum feature values are calculated using a stratified sampling algorithm, and the evaluation system is formed according to their average values as quantitative and qualitative indicators. To verify the effectiveness of this assessment system, the analysis results show that the system divides the quality of information disclosure into five assessment criteria, and the precision and smoothness can reach about 85.6% and 83.24% on average, respectively. It can be seen that the information disclosure quality assessment system constructed based on big data technology improves the authenticity, usefulness and comparability of information disclosed by enterprises.
Study on Regional Financial Innovation, Technological Progress Bias and High Quality Economic Development
Authors: Ma Li 
Published: September 2023

Abstract
This paper designs a coupled mechanism model of financial technology innovation and economic growth, aiming to analyze the impact path of technology finance and technological progress on economic development. Endogenous economic growth theory is adopted, with technological progress as an exogenous variable, and inputs of production factors and products are considered. The growth rate of capital accumulation is calculated using fuzzy principles taken into account from the likelihood distribution under the assumption that the output function is in generalized form. The value of the distance function is calculated considering the orientation efficiency to ensure profit maximization. After eliminating the effect of different magnitudes, the decision degree decomposition is clarified using the Marquist index. The decision unit boundary degrees are reassembled when the information contribution ratio is scaled up by a multiple. Production relative efficiency change index. According to the findings of the economic impact analysis, the eastern financial institutions’ loan growth rate is stable, the entropy index is steadily increasing, and the p-value for the regression coefficient of science and technology finance is less than 0.02. The standard deviation of regional economic growth variables is 1.0209. Consequently, the coupling mechanism model of financial innovation in science and technology and economic growth can encourage investment in such innovation, shorten the technological innovation cycle to speed up the transformation of outcomes and achieve high-quality economic development.