bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH KOMPETENSI TERHADAP KINERJA PEGAWAI NEGERI SIPIL DI SESPIM LEMDIKLAT KEPOLISIAN REPUBLIK INDONESIA
Authors: Surtiani Ani , Kurniasih Iin , Mulyati Yuyun , Sandjaya Teguh 
Published: April 2023

Tujuan penelitian ini adalah untuk menganalisis pengaruh kompetensi terhadap kinerja Pegawai Negeri Sipil (PNS) di Sespim Lemdiklat Polri. Penelitian ini menggunakan pendekatan kuantitatif. Teknik pengumpulan data menggunakan kuesioner sebagai instrumen utama yang disebar kepada 62 responden dari total populasi 159 orang.Hasil penelitian menunjukan variabel kompetensi PNS di Sespim Lemdiklat Polri memperoleh skor sebesar 2046 dengan rata-rata 4,13 termasuk pada kategori baik. Variabel kinerja PNS di Sespim Lemdiklat Polri memperoleh skor sebesar 2602 dengan rata-rata 4,20 termasuk pada kategori baik. Dengan nilai R square sebesar 0,701, maka diperoleh KD sebesar 49,14% yang menunjukan besarnya pengaruh variabel (X) terhadap variabel (Y). Sedangkan 50,86% merupakan variabel lain yang berpengaruh tetapi tidak dikaji dalam penelitian ini. Dengan demikian kompetensi berpengaruh terhadap kinerja pegawai di Sespim Lemdiklat Polri. Saran penelitian ini adalah para pegawai perlu meningkatkan pengetahuan terkait peraturan yang dikeluarkan Kapolri, sungguh-sungguh dalam menyelesaikan pekerjaan sesuai prosedur dan menjalin komunikasi yang baik, selain itu setiap pimpinan pada unit organisasi harus mampu memberikan keleluasaan kepada para pegawai untuk berpartisipasi sehingga mendorong terwujudnya kinerja yang baik. The purpose of this study was to analyze the effect of competence on the performance of Civil Servants (PNS) in the Sespim Lemdiklat Polri. This research used a quantitative approach. The data collection technique used a questionnaire as the main instrument distributed to 62 respondents from a total population of 159 people. The results showed that the competency variables of civil servants obtained a score of 2046 with an average 4,13 belongs to the good category. The performance variable of civil obtained a score of 2602 with an average score 4,20 belongs to the good category. With an R square value of 0.701, a KD of 49.14% was obtained which shows the magnitude of the influence of the variable (X) on the variable (Y). Meanwhile, 50.86% is another variable that has an effect but was not studied in this study. Thus, competence affects the employees performance at the Sespim Lemdiklat Polri. The research recomendation are employees need to increase knowledge related to the regulations, be serious in completing work according to procedures and establish good communication, besides that leader must be able to provide flexibility to employees participate to the realization of good performance.
PERUBAHAN PROSESI KESENIAN DALAM PERNIKAHAN ADAT SUNDA
Authors: Aliza Duriah , Kintan Astari , Indrawardana Ira , Suwartapradja Opan Suhendi 
Published: April 2023

Pernikahan adalah bagian dari budaya, dalam sebuah tradisi pernikahan terdapat ritual yang berdasarkan adat istiadat sesuai dengan daerah asal pengantin dan dipercayai oleh masyarakatnya. Pada perkawinan adat Sunda, masyarakat akan melakukan acara ritual perkawinan dengan adat Sunda. Adanya kemajuan teknologi berdampak pada suatu pergeseran budaya dapat dengan menyesuaikan dengan kebutuhan zaman. Perubahan pada prosesi kesenian perkawinan adat Sunda terjadi karena lebih memenetingkan efektifitas dibanding sakralitas. Marriage is part of culture, in a wedding tradition there are rituals based on customs according to the area of origin of the bride and groom and trusted by the community. In traditional Sundanese marriages, the community will carry out wedding rituals with Sundanese customs. The existence of technological advances has an impact on a cultural shift that can adapt to the needs of the times. Changes to the traditional Sundanese wedding art procession occurred because effectiveness was more important than sacredness.
Ionized calcium-to-phosphorus ratio predicts neoplasia in azotemic dogs: a retrospective study of 105 cases
Authors: McDaniel Kaylyn , Guess Sarah C. , Haines Jillian , Sellon Rance K. 
Published: April 2023

Abstract

OBJECTIVE
To evaluate dogs with total hypercalcemia, azotemia, and normal serum phosphorus concentrations to determine whether a calcium-to-phosphorus ratio (Ca:P) or ionized Ca:P (iCa:P) could be utilized to predict underlying neoplasia.

ANIMALS
105 dogs were included in the study. Thirty-seven percent (n = 39) had known neoplasia, and 63% (66) had no evidence of neoplasia.

PROCEDURES
A retrospective medical records search was performed. An observational cutoff of 2.5 for Ca:P and 0.33 for iCa:P was used for determining sensitivity and specificity between the neoplasia and nonneoplasia groups.

RESULTS
Total hypercalcemia was higher in dogs with neoplasia compared to nonneoplastic cases of hypercalcemia. Ca:P of 2.5 had an 80% sensitivity and 46% specificity for predicting neoplasia. iCa:P of 0.33 had a 92% sensitivity and 77% specificity for predicting neoplasia in azotemic dogs.

CLINICAL RELEVANCE
The sensitivity and specificity of Ca:P was low, making it an unreliable tool to predict neoplasia in this specific study population. However, iCa:P may have some usefulness in determining presence of neoplasia in patients with high calcium, azotemia, and normal phosphorus.
Changes in the frequency of ABO and Rh blood group phenotypes in Polish donors from Lower Silesia
Authors: Chmielewski Piotr Paweł 
Published: April 2023

Abstract
The aim of this study was to explore temporal and spatial variability of the frequency of the ABO and Rhesus blood group phenotypes in Polish donors from Lower Silesia between 1946 and 1990. Data on 158,134 individuals (113,714 men and 44,420 women) were obtained from two databases containing information about blood donors from Lower Silesia. The rate and direction of changes in the frequency of the blood groups were evaluated with regression analysis and Pearson’s correlation coefficient. Significant differences in the frequencies were found for the analysed period. The largest differences were observed for A and O blood groups. A significant increase in the frequency of the A group and a decrease in the O group were noted. The incidence of the AB group in both sexes did not change significantly. However, an insignificant decreasing trend in the frequency of the AB group in men was observed. An opposite and significant trend for this blood type was found in women. For the B group, the increase was significant in both sexes but it was greater in men. A significant increase in the frequency of the Rh(+) factor was noted. These results suggest that there were minor differences in the frequencies of ABO and Rh blood groups between the counties. This study demonstrated microevolutionary changes, thereby contributing new information to the field. These findings can be useful for the management of blood banks and the interpretation of microevolutionary changes.
Trigger points in medical practice - current therapeutic directions
Authors: Wanat Marta , Nowak Bernadetta , Świątko Ada , Mirkowski Karol , Domański Jurand , Dąbrowski Paweł , Domagała Zygmunt 
Published: April 2023

Abstract
Recent scientific evidence suggests that one of the causes of myofascial pain syndromes responsible for the occurrence of chronic headaches, among other things, may be increased or impaired with trigger point therapy.
This paper presents the results of a non-systematic literature review on trigger point therapy.
The analysis shows a clear increase in scientific interest in invasive trigger point pain treatment techniques. Invasive therapy consists primarily of the use of injections and dry needling. Injections of anesthetics or botulinum toxin are methods that, in addition to their possible therapeutic effect, may carry side effects. In contrast, dry needling does not have a fully scientifically-proven effect. Recent scientific data also indicates that the aforementioned method may have a limited clinical effect.
The performed analysis did not demonstrate a significant advantage in invasive techniques over typical non-invasive techniques. It is therefore necessary to design randomized multi-center clinical trials to definitively verify the efficacy of these techniques in the treatment of tension-type trigger point-dependent myofascial pain.
Exploring the path of network security and student privacy protection in smart campus based on Markov model
Authors: Li Delu 
Published: April 2023

Abstract
With the advent of technological society, data and intelligence have become the directional trend of development, and the network security of smart campus has become the focus of public attention day by day. The personalization of college students and the development of intelligent analytics have brought about a whole new change in privacy protection. The intertwining of campus networks and privacy protection is a complex and very real issue, and research based on the privacy protection of college students has become more urgent. Using Markov model as a computational analysis tool, this paper deeply investigates the security and usage degree of smart campus network security technology, and it propose a complete Markov- network security technology system. The calculation shows that the intrusion detection system has the highest security of 51% and the widest usage of 63%. This is followed by firewall technology with 19% security and 26% usage. Based on the above techniques, the system security of the proposed Markov-network security technique is 57%, which is much better than the 43% of the traditional network model.
Research on the path of integrating blockchain technology into the teaching of film and television courses in higher education institutions
Authors: Chen Lina 
Published: April 2023

Abstract
With the development and popularity of the Internet, blockchain technology is gradually integrated into the teaching of film and television courses in higher education institutions, and how to use blockchain technology for teaching has become a new research hotspot. This paper takes PBFT algorithm as the theoretical basis and constructs PBFT-blockchain model. The teaching situation of film and television courses and the teaching path of film and television courses are studied in depth. The calculation results show that the number of traditional courses is relatively single, and the satisfaction of teachers and students is only 15.2%. The calculation result of film and television resources is “scarce”. The satisfaction rate of students and teachers was only 18.3%. The highest satisfaction rate of students and teachers is the length of teaching, which is 41.4%. It is calculated that the weight of teaching strategy in the teaching path is 67%, and the proportion of teaching results under this weight is 78%. The weight of teaching format in the teaching path is 58%, and the corresponding teaching outcomes under this weight is 84%. The highest weight in the teaching path is the teaching session. Its weight is 83%, and the teaching outcome is 91%. Through the PBFT-blockchain teaching model, two designs of teaching sessions are proposed: problem/event-initiated teaching and material-initiated teaching.
Research on the innovation of youth network media literacy education in the context of Internet + education
Authors: Xie Yan 
Published: April 2023

Abstract
This paper first discusses the background and theoretical basis of the youth network media literacy education under the Internet + education, and believes that the network media literacy framework under the Internet + education has an efficient school system, good school management, high-quality teachers, and perseverant students, contribute to educational success. Therefore, in order to improve the education of young people’s network media literacy, it needs to be constructed in many aspects. First, the background, theoretical basis and era background of the youth network media literacy framework are introduced in detail. Then, according to the theoretical basis of literacy, a complete set of online media literacy education framework for teenagers in the context of Internet + education is designed, including the core literacy layer, the information literacy framework, the Steam literacy layer and the MOOC literacy framework. Finally, after the questionnaire results and analysis, the framework proposed in this paper can improve the literacy ability of young people. The experimental results also show that not only the network media literacy ability is improved, but also the students’ horizons and vision are obviously broadened.
Harmonic current variation characteristics of shunt capacitors based on full-phase FFT algorithm
Authors: Liu Ke , Song Rui , Liu Yutong , Han Jun , Zhang Wenqian 
Published: April 2023

Abstract
Shunt capacitors can effectively improve the system voltage level and increase the economy of grid operation. However, under the effect of harmonics, the capacitor bank is prone to harmonic resonance, which causes overcurrent and overvoltage and threatens the safe operation of the capacitor itself and the system. To avoid damage to capacitors due to harmonics, the harmonic current variation characteristics of shunt capacitors are investigated. Based on the established mathematical model of shunt capacitors, the characteristics of harmonic current amplification under different harmonic states are analyzed. Based on the amplification characteristics and sampling law, the harmonic current signal is acquired using the full-phase fast Fourier transform algorithm. The full-phase fast Fourier transform algorithm is improved by the phase difference algorithm to complete harmonic current detection. The experiments show that the dynamic response time is 1.6 cycles with minimum steady-state error before and after the load current jump. When the capacitor changes from unit power factor to 0.89 inductance, the harmonic current at point A changes from 17.59A to 21.34A and 11.65 to 22.38A, respectively. The deviation values are 3.75A and 10.73A, respectively. It shows that the algorithm has good tracking ability for load currents and can effectively detect the harmonic currents of shunt capacitors and obtain accurate variation characteristics. It can ensure that the harmonic content of the shunt capacitor in the distribution system is relatively reasonable, and realize the safe, stable and economic operation of the equipment.
Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations
Authors: Xue Han , Jia Jing , Jiang Shan 
Published: April 2023

Abstract
This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemic prevention and control model. Then, the nonlinear differential equation of epidemic propagation dynamics is deduced. Secondly, this paper uses the exponential equation to fit the curve, takes three days as the optimal window time, and estimates the turning point of the urban public epidemic. Again, this paper establishes a dynamic model of dynamic experience transfer. Finally, this paper uses the COVID19 example to verify the public epidemic prevention and control problems described in the text. Experimental simulations show that the algorithm can better grasp important epidemiological dynamics.
Secure transmission of wireless energy-carrying communication systems for the Internet of Things
Authors: Zhou Gang , Peng Mingyang , Li Yan , Wang Jian , Lian Chen 
Published: April 2023

Abstract
The Internet of Things, as an important part of important data aggregation, forwarding and control, is often subject to risks such as eavesdropping or data loss due to the huge amount of received data. Based on this, this paper introduces the GA-LM-BP algorithm, BP network, and LM-BP algorithm deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy error of GA-LM-BP, BP and LM-BP algorithms shows a downward trend, from 0.029 to 0.011; the training time is reduced by 208 mins, and the training speed is increased to 74%, indicating that GA-LM-BP deep learning Excellent performance in the security and confidentiality of data transmission in the Internet of Things. In addition, we further analyzed GA-LM-BP from COP, SOP and STP to verify its reliability and safety.
Research on the application of traditional culture in landscape design
Authors: Liu Zhihong 
Published: April 2023

Abstract
In order to make the landscape design concept break through the traditional barriers and achieve diversification and nationalized development, this paper proposes a landscape design model that integrates traditional culture to effectively integrate traditional culture and landscape design. First use active adaptation technology to test the algorithm convergence ability, and then sample the basic situation of landscape design, reconstruct the collected information, construct the characteristic information flow, and use the linear regression analysis model and the Internet of Things technology to construct the distribution The structure model is used to analyze its characteristics. Then, by introducing the nonlinear dynamic inertia weight coefficient, according to the traditional particle swarm algorithm, the optimized particle swarm algorithm is proposed, and its robustness is tested, the error is analyzed, and the error values are all less than 0.1.Finally, the model in this paper is experimentally tested in a quantitative way. The results show that the traditional culture and landscape design fusion model proposed in this paper has a reasonable error value and has practical application significance.
Sports Science Movement model based on fractional differential equation
Authors: Yang Lifen , Wang Zhijun 
Published: April 2023

Abstract
In order to construct the morphological model of Chinese excellent calisthenics athletes, overcome the shortage of evaluation of single and multiple indexes in the study of the morphology of calisthenics athletes in the past, the author proposes a sports science model research based on fractional differential equation. Sports biomechanics, as an independent discipline within sports science, the general task of the study of motion biomechanics is to evaluate the effect of force on perfectly achieving a given goal in the process of interaction between biological system and external environment, the author takes the outstanding male calisthenics athletes of Chinese college students as the research object, and adopts the method of literature and mathematical statistics, the morphological indexes were analyzed and studied, and the morphological model was established, through factor analysis, the morphology of Chinese outstanding male college student aerobics athletes is divided into four factors: Body fullness factor, limb scale factor, body width factor, body circumference factor, the weights of the four factors are 0.36, 0.31, 0.17 and 0.15, respectively. Chinese outstanding male college student aerobics athletes have the morphological characteristics of medium height and well-developed upper arm and lower limb muscles.
Research on secure Internet of things gateway technology based on multi-communication methods
Authors: Fan Ying , Chen Yang , Shi Zhenyu , Peng Mingyang , Zhang Ziying 
Published: April 2023

Abstract
The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy errors of GRU, LSTM, and SRU algorithms show a downward trend, from 0.024 to 0.010%; the training time is reduced by 254 minutes, and the training speed is increased to 86%, indicating the excellent performance of SRU deep learning in IoT gateways.
Relationship Between Physical Activity Sedentary Behavior and Body Mass Index in Children and Adolescents Based on FIT Model
Authors: Liang Dong , Lu Yanwen , Sun Zhang , Zhang Jun , Han Liu 
Published: April 2023

Abstract
This study conducted a questionnaire survey on the physical condition of high school students based on FIT. The correlation between sedentary behavior, exercise level and physical fitness was studied. In this paper, the fuzzy C-average clustering method of the BP neural network is used to make statistics and classification of students’ physical condition. This paper collates the biological quality data of college students. Then this paper makes a comprehensive classification, classification and quantitative assessment of the data. The study found that college students’ sedentary habits varied from individual and family backgrounds. Family factors influence students’ physical exercise. Physical exercise was positively correlated with sedentary behavior and body mass index in adolescents. The accuracy of clustering combined with the BP neural network can reach 94%.
Study of frictional wear properties of materials for mechanical seals
Authors: Yang Guijuan , Zhang Huifang , Zhang Lirong 
Published: April 2023

Abstract
Wear of seal materials is a widespread problem in the aerospace, petrochemical, and electric power fields, leading not only to low efficiency of mechanical equipment, but also to increased energy consumption and reduced safety performance. Therefore, this paper establishes the SCA-wear model based on the tensile constraint algorithm to calculate and analyze the friction and wear performance of mechanical seal materials. The friction coefficients of different loads at 200°C and 10 min after the test time stabilize, and fluctuate in the range of 0.35 at 30N, 0.26 at 70N, and 0.48 at 90N. The frictional wear of the C/C composite mechanical seal material is at least 15.6%. The reason is that it is composed entirely of carbon. It has many advantages of carbon and graphite materials. Therefore, the frictional wear of the C/C composite seal material is low.
Strategies for improving Chinese language proficiency based on artificial intelligence technology
Authors: Sun Yuanyuan 
Published: April 2023

Abstract
In recent years, the development of artificial intelligence technology and theory has been rapid, and the application in language science has been gradually comprehensive and diversified, especially the accuracy rate of artificial intelligence for Chinese language is up to 90%. In the era of artificial intelligence, the effect of different structures and parameters of arithmetic models on Chinese language recognition varies greatly. Language science is an important research area for realizing machine-human communication, and accurate comprehension of the meaning of linguistic expressions is the key to realize communication. In this paper, we construct a speech system that is different from the traditional stable time series for the irreplaceable characteristics of artificial intelligence technology to improve Chinese language ability. A dynamic Bayesian network (DBN) is used for modeling and analysis, and a DBN construction method is investigated to import a hidden Markov model in a speech recognition system to reveal the interactions between nodes within multiple time slices. The accuracy of dynamic Bayesian networks in Chinese dialect inference algorithms is demonstrated using Matlab simulations to characterize the reliability of speech features using a speech spectrogram. It proves that artificial intelligence technology and Chinese language science are complementary and mutually reinforcing, showing a good and rapid development trend.