bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Civic Education Paths in Universities Based on the Subordination Matrix Model
Authors: Xiong Moli
Published: September 2023

Because of the lack of an assessment system for the current construction of curriculum thinking in colleges and universities, which leads to the slow promotion of thinking and teaching, this paper proposes an assessment algorithm for curriculum thinking based on the subordination matrix model. Firstly, it establishes the set of variables and the set of assessment levels of the course Civics elements; secondly, it uses the segmentation function to determine the subordination coefficients of each course Civics element and further establishes the subordination coefficient matrix; finally, it assigns the coefficients according to the weight of the importance of the course Civics elements in this assessment level and then calculates the comprehensive score of the whole course Civics system. The results show that in the case of the University of S, the main influence of “teaching effectiveness” is 0.415, followed by “teaching content” with a weight of 0.339; the overall score is 55.4, which is in the middle level. The overall rating is 55.4, which is at a medium level. Through optimizing the path of Civics education based on the subordination matrix scoring system proposed in this paper, Civics teaching is effectively visualized, the evaluation system of the construction of Civics in the college curriculum is improved, and the promotion of Civics teaching is accelerated.
Evaluation mechanism of local universities’ faculty construction based on SOAP technology
Authors: Lin Haiyan
Published: September 2023

Accelerating the construction of a high-quality faculty that can adapt to the development of schools is one of the important issues facing universities today. In this paper, we build a comprehensive evaluation system for university teachers based on SOAP technology and hierarchical analysis, adding new security feature elements to the extended namespace of SOAP messages to achieve the system’s ability to handle access control, data confidentiality, and integrity. The system uses hierarchical analysis to hierarchize complex problems, decomposing them into different constituent factors according to the problem and the goals to be achieved and aggregating and combining the factors at different levels according to their interconnectedness and affiliation to form a multi-level analysis structure model. Using this system to analyze the teaching evaluation of college teachers and the six factors of teaching, we get a combined 91.35 and 84.35 for teacher 1 and teacher 2, respectively. From the comparison results, we can see that the teaching effect of Teacher 1 is generally higher than the other five factors, and the teaching attitude of Teacher 1 is lower than the other five factors, which shows that the teaching of Teacher 1 can achieve a good teaching effect. Therefore, the comprehensive evaluation system of college teachers established in this paper based on SOAP technology and hierarchical analysis method has good practicality.
Probabilistic neural network-based diagnosis of blockage faults in air conditioning and refrigeration units
Authors: Wang Yujie
Published: September 2023

The refrigeration unit is a core component of the air conditioner, and its typical faults are pipe scaling and blockage, which can cause refrigerant leakage in serious cases, and these faults can affect the cooling effect of the air conditioner and even affect the safety of using the air conditioner in serious cases. Therefore, it is necessary to study the fault diagnosis system of the refrigeration unit. The traditional fault diagnosis system for refrigeration units, which generally uses wireless sensor networks to transmit data, is a challenge because of its slow diagnosis speed and the low accuracy rate of fault diagnosis for refrigeration units. This paper uses a probabilistic neural network (PNN) to debug a blockage fault diagnosis algorithm system for simulated fault training. The system successfully achieves four levels of pre-warning for blockage faults: “uncertainty, micro-blockage, blockage, and severe blockage”, with the fastest pre-warning time of “uncertainty, micro-blockage” being less than 2 seconds. The experimental results of this paper show that the PNN system can take timely measures against blockage faults, and the fault diagnosis accuracy of the model reaches 97.97%, which is 13.34% higher than the traditional fault identification algorithm. The PNN model can pinpoint the blockage faults of the refrigeration unit, which enables the working state of the refrigeration unit to be continuously optimized, and the air conditioner to maintain energy-efficient operation. The fault simulation of the air conditioning refrigeration unit in automatic control mode verifies the blockage fault diagnosis’s accuracy and the algorithm’s feasibility, providing reference and learning for the development of fault diagnosis algorithms.
LightGBM model applied in the teaching course of Civic Education integrating red culture
Authors: Huang Tao
Published: September 2023

To effectively promote the integration of red culture and Civic Education courses in higher education institutions, we aim to spread red culture, pass on red genes, and enrich and enhance the specific contents of Civic Education in higher education institutions. Based on the LightGBM model and then combined with the Civic Education Red Culture, this paper constructs two examples of evaluation indexes for the application of Civic Education Integrated Red Culture in teaching courses, i.e., teaching course foundation construction and teaching course effect evaluation and also conducts a comparison experiment for the performance of this paper’s model with four other models. The results show that the four performance indicators of the LightGBM model are higher than those of the other four models, with values of 0.1239, 0.0326, 0.1364, and 0.4625 for each evaluation indicator. 21.40%, 30.42%, 26.36%, and 21.82%. The overall evaluation of the teaching course effect indicators is 90.73% above C grade, among which the average percentages of A, B, C, and D indicators are 43.94%, 27.83%, 18.96%, and 9.27%, respectively, which shows that the teaching course evaluation of Civic and Political Education integrating red culture is very good. Based on the LightGBM model, Civic and Political Education integrating red culture can be well applied in teaching courses, and Civic and Political Education relying on red culture can be given a new life. In the future, we will continue to explore the same points of red and ideological and political education and promote the synergistic development of ideological and political education and red culture.
The use of red cultural and creative design in tourism cultural and creative design based on the background of big data
Authors: Gu Haiyan
Published: September 2023

Exploring the use of red cultural design in tourism creative design is to innovate creative tourism products. In this paper, the mathematical principle of support vector machine is introduced in detail in big data, and the optimal classification discriminant function is sought using the Lagrange multiplier method. The principle of the particle swarm optimization algorithm is also explained, and the steps and flow chart of the particle swarm optimization algorithm is given. The SVM algorithm is optimized according to the particle swarm optimization algorithm, and the PSO-SVM model is constructed. Finally, the PSO-SVM model is used for index mining of the application of red tourism cultural and creative design, which is analyzed and explained from two aspects of design elements and design performance, respectively.

Regarding design, functional, cultural, formal, and spiritual elements account for 63.18%, 59.63%, 40.39%, and 35.99%, respectively. Regarding design performance, the percentages of symbolic refinement, imagery transformation, imitation reconstruction, and modeling isomorphism are 54.69%, 51.81%, 33.48%, and 32.75%, respectively. Based on the background of big data, the PSO-SVM model can effectively analyze the way of using red cultural and creative design in tourism cultural and creative design, focusing on highlighting the spirit and cultural connotation of red culture.
An experimental study of the carbohydrate exchange method combined with aerobic exercise to intervene in the physical health of obese college students
Authors: Luo Guangxia , Cao Miao , Zhao Xiaopeng , Wu Gang , Wang Chunli , Yu Hui , Li Ming , Liu Ming , Liu Yang
Published: September 2023

The purpose of investigating the carbohydrate exchange method in combination with aerobic exercise for obese college students is to help college students have better bodies to cope with their academic life. This paper introduces the qualitative and quantitative analysis technique based on near-infrared spectroscopy, starting from the analysis of the carbohydrate exchange method, and explains the physical, mathematical, and chemical information bases, respectively. A NIR detection model is constructed using the NIR spectroscopy detection method, and the main evaluation indexes of the model are given. Three experimental groups, namely, carbohydrate exchange method, aerobic exercise, and carbohydrate exchange method combined with aerobic exercise were set up to investigate the physical health interventions for obese college students. In the single test, the FPG, BUN, TC, and HbA1c values of the subjects in the carbohydrate exchange experiment group were reduced by 18.61%, 17.33%, 11.09%, and 18.16%, respectively. The FPG, BUN, TC, and HbA1c values were reduced by 23.42%, 18.84%, 11.62%, and 13.48%, respectively, in subjects in the aerobic exercise experimental group. From the carbohydrate exchange method combined with the aerobic exercise experimental group, the subjects’ FPG, BUN, TC, and HbA1c values were reduced by 28.38%, 22.24%, 11.27%, and 27.4%, respectively, which was a better level of intervention than the single experimental group. Thus, the carbohydrate exchange method combined with aerobic exercise can be an effective intervention for the physical health of obese college students.
Design of a text evaluation and interaction system for university English textbooks based on a perceptual machine model in the context of globalization
Authors: Lei Wanrong
Published: September 2023

In the globalization of big data, how to use big data technology to evaluate the text of college English teaching materials and design the interactive system is a hot issue of current concern. In this paper, firstly, we design the interactive system of university English teaching based on the middle dense vector, knowledge embedding vector, learning feature vector, and other letter cores of fused interactive information, implement the interactive interaction system and debug it. Then the index system is constructed based on the evaluation data of English majors and students in a Normal University on university English teaching materials. Finally, the university English teaching materials evaluation grade data analysis uses a multilayer perceptron neural network. The results showed that the accuracy rate of nine indicators was 73.56%~80.36% for excellent evaluation grade, 86.23%~88.53% for good evaluation grade, and 63.96%~69.43% for average evaluation grade. The accuracy rate of good evaluation grades is higher than the other two categories. This study comprehensively and accurately analyzes the text evaluation of college English textbooks by English majors and students in central China; this university to improve the applicability and group of college English textbooks in a targeted way and promote the improvement of the teaching quality of college English courses in universities.
Improvement of the financial management supervision system of universities in the context of big data
Authors: Shan Jingjing
Published: September 2023

This paper first describes the process of the BP neural network mining algorithm, then applies the optimization algorithm to optimize the BP neural network model to improve its performance. The data mining algorithm is used to mine the financial management and supervision data of colleges and universities and analyze the problems in the financial management and supervision system of colleges and universities in terms of the financial management reimbursement process, budget process, financial information entry, and financial supervision respectively, and put forward suggestions for improvement. Regarding the awareness of financial information in colleges and universities, only about 30% of the people in each project said they understood it. In terms of financial work satisfaction, more than 50% are satisfied and very satisfied. On the problems of the reimbursement process, 87.75% of people think the approval process is long, 70.5% think the reimbursement rework rate is high, and 57.6% think the reimbursement queuing time is long. It is difficult to track the budget progress on a financial budget, lack of modern technology in the financial system, and lack of budget supervision are the top three, accounting for 77.3%, 77.5%, and 69.6%, respectively. Financial management in universities should keep up with the times and actively reform for the existing problems.
The use of new media technology in the creation of media animation under the threshold of big data
Authors: Guan Ping
Published: September 2023

This paper first introduces the support vector machine mining algorithm to find the optimal linearly bounded hyperplane utilizing a nonlinear transformation. Then the algorithm’s comparison criterion is introduced, and its performance is evaluated in terms of accuracy and other aspects. Finally, the support vector machine mining algorithm is used to mine and analyze the problems of traditional animation and the impact of new media technology on the creation of media animation. Among the existing problems, the most important one is that 67.9% of people think the animation content has no connotation and is boring. 7.8% of people think that the technology is not up to the standard and the use of new technology is lacking, and 55% think that the theme is old and repetitive. In the influence of new media technology on media animation creation, 67% think new media technology makes animation themes diversified, 73% think new media technology makes animation content young and theme civilians grounded. 79% think new media technology keeps animation creation up with the times, and connotation and creativity are improved. New media technology makes media animation’s connotation theme sublimated, but it also should reflect on its shortcomings in time with the development of the times.
Information technology system to promote drug production command supervision
Authors: Zhou Jing
Published: September 2023

Drug quality problems caused by problems in drug production processes generally cannot be effectively controlled by current drug quality standards, leading to potential safety risks for drugs. This paper applies the information system to promote the command and control of drug production to the quality control of the drug production process. By using five key quality technology points affecting drug quality as the input of the improved PSO-BP algorithm for network training based on the GMP (Good Manufacturing Practice) standard, the output of the classification prediction network is used to determine whether the drug is qualified or not to achieve the purpose of drug quality control. The parameters of the BP algorithm are optimized to minimize the output error after the PSO algorithm is improved by invoking the linear variational operator. The results show that the average absolute error and the average relative error of the improved PSOBP algorithm are 0.129 and 1.86%, respectively, and the average absolute error and the average relative error of the PSOBP algorithm are 0.694 and 8.28%, respectively, compared with the PSO-BP algorithm, the error of the improved PSOBP algorithm is effectively reduced. The improved PSO-BP algorithm proposed in this paper can be used for drug production command supervision, and it effectively reduces the inferiority rate of drug production and fundamentally eliminates the circulation market of inferior drugs.
Exploring English-Chinese Translation Skills Based on Big Data Technology
Authors: Hu Rong
Published: September 2023

This paper first explores and evaluates English-Chinese translation skills through deep learning in machine learning based on big data technology, focusing on applying convolutional neural networks and long and short-term memory network models in English-Chinese translation. Then it is to construct a deep learning evaluation model based on the dataset with text-level labels of English-Chinese translation. The structure of the deep learning evaluation model consists of three categories: data representation of text, feature extraction of text, and text classifier. Finally, the research object is determined from the purpose of the study, and the data analysis is performed on the experimental and control groups using the deep learning model to characterize the fluency by the continuous convergence of the data. The results showed that the continuous convergence of the experimental group remained in the range of 76.95% to 82.6%, and its average value was 79.76%. The continuous convergence of the control group remained in the range of 60.15% to 71.92%, with a mean value of 67.02%. The average convergence value of the experimental group was 12.74% higher than that of the control group, and the experimental group outperformed the control group. This study should learn and cultivate English-Chinese translation skills while improving the efficiency and accuracy of English-Chinese translation, which is a guiding reference value for the progress of translation talents.
Empirical evidence of coupling and coordination between circular economy and foreign trade based on big data
Authors: Liu Qian , Yao Xuesong , Pei Lei
Published: September 2023

Promoting foreign trade development based on a circular economy is the key to dealing with the problems between the resource environment and economic growth. This paper first constructs a comprehensive evaluation index system of circular economy and foreign trade by taking 19 urban agglomerations in China as research objects. Secondly, the entropy value method is used to measure and analyze the circular economy development and foreign trade development of Chinese urban agglomerations from 2014 to 2021. Finally, the coupled coordination level of circular economy and foreign trade of Chinese urban agglomerations was measured using the coupled coordination degree model in physics, and the spatial and temporal evolution process of the synergistic development of circular economy and foreign trade of Chinese urban agglomerations was studied. The results show that the mean values of the coupling coordination degree of circular economy and foreign trade in the east and west regions of China from 2014 to 2021 are generally maintained above 0.85, and all tend to 0.95 equilibrium value, which is at a high coupling stage, indicating that there is an obvious interaction between the circular economy and foreign trade in China. This paper analyzes the spatial and temporal evolution of the coupling degree and coupling coordination degree of circular economy and foreign trade in Chinese urban agglomerations and provides a theoretical basis for governments at all levels to formulate policies and regulations on the synergistic development of circular economy and foreign trade in Chinese urban agglomerations.
The use of management accounting and financial accounting in financial management based on multiple linear regression algorithm
Authors: Liu Yu
Published: September 2023

Artificial intelligence has had varying degrees of impact on various industries, and many traditional financial tasks have been replaced by artificial robots, which will inevitably lead to the transformation of financial accounting to management accounting, which is also the key to the continuous development of enterprises. Firstly, this paper proposes a multiple linear regression algorithm, which is solved by the classical least squares method, while the parity results of the least squares method are relatively stable and generally do not have valuation drift. Then, we analyze management accounting and financial accounting, analyze the importance of using both in enterprise financial management and propose some specific application paths based on this to provide help for enterprise financial management. Finally, a multiple regression algorithm is used to analyze management accounting and financial accounting data. The regression analysis results showed that the coefficient of management accounting and financial accounting change and the degree of competition was 0.7952, t=2.4457, F=5.9813, R2=0.0520, and management accounting and financial accounting change were not significantly influenced by the size of the enterprise and competition. This study improves the traditional accounting concept, establishes a perfect accounting system, realizes the integration of organizations, and pays attention to the importance of consolidating original resources to provide some theoretical guidance for the effective improvement of enterprise financial management quality.
The positive impact of increased government bailout on weakening corporate default risk
Authors: Zhang Yadong
Published: September 2023

Along with the increasing uncertainty of the global economy and the spread of the new crown pneumonia epidemic, the risk challenges to economic development have increased significantly, and the risk of corporate debt defaults has become more pronounced. As an important component of the capital market, the bond market also began to experience credit bond defaults during this period. Since 2021 the global bond market has shown a sharp increase in defaults, with the default rate of non-state enterprise bonds significantly higher than the overall market, and the capital market has also ushered in a period of pain and accelerated credit risk release. Enterprises are on the verge of bankruptcy restructuring and urgently need the government to provide a bailout and stabilize the market. Therefore, this paper uses the financial data of Chinese listed companies from 2016-2021, constructs a relief intensity variable using the equity pledge rate of listed companies before the relief (2021), and empirically analyzes the impact of local government relief and financing cost on the default risk of listed companies using an intensity double difference model. The results of this study show that: (1) local government bailout significantly reduces the default rate of listed companies by 13%; (2) the effect of local government bailout varies significantly depending on whether listed companies have connected transactions with financing platform companies, and the increase of bailout intensity increases the return on assets of listed companies with related transactions with financing platform companies by 9.8%, which laterally reduces the default rate of corporate debt; (3) the cost of financing is an important mechanism by which local government bailouts affect the credit default rate of listed companies, with a regression correlation of 0.75; (4) the above effect is more pronounced in regions with a higher degree of marketization, with a 9% increase in the effect. The findings of this paper are important for actively managing the risk of dual corporate debt and credit defaults and enhancing the effectiveness of macroeconomic regulation during the epidemic period.
The Confederate Admiralty Court at Key West
Authors: Jarvis Robert M.
Published: September 2023

In 1861, the Confederate States of America authorized the establishment of a “Court of Admiralty and Maritime Jurisdiction” at Key West. Although a judge was appointed, the court never sat because the island remained in Union hands throughout the Civil War. After first describing the court's creation and staffing, this article highlights the various procedural and practical problems the court would have faced if it had been able to operate.
Letter to Editor Quality of 2017 Population Census of Pakistan by Age and Sex
Authors: Wazir Asif , Goujon Anne
Published: September 2023

This Letter to Editor is a supplement to the previously published article in the Journal of Official Statistics (Wazir and Goujon 2021).

In 2021, a reconstruction method using demographic analysis for assessing the quality and validity of the 2017 census data has been applied, by critically investigating the demographic changes in the intercensal period at national and provincial levels. However, at the time when the article was written, the age and sex structure of the population from the 2017 census had not yet been published, making it hard to fully appreciate the reconstruction of the national and subnational level populations.

In the meantime, detailed data have become available and offer the possibility to assess the reconstruction’s outcome more in detail. Therefore, this letter aims two-fold: (1) to analyze the quality of the age and sex distribution in the 2017 Population census of Pakistan, and (2) to compare the reconstruction by age and sex to the results of the 2017 population census. Our results reveal that the age and sex structure of the population as estimated by the 2017 census suffer from some irregularities. Our analysis by age and sex reinforces the main conclusion of previous article that the next census in Pakistan should increase in quality with an inbuild post-enumeration survey along with post-census demographic analysis.
Database Reconstruction Is Not So Easy and Is Different from Reidentification
Authors: Muralidhar Krishnamurty , Domingo-Ferrer Josep
Published: September 2023

In recent years, it has been claimed that releasing accurate statistical information on a database is likely to allow its complete reconstruction. Differential privacy has been suggested as the appropriate methodology to prevent these attacks. These claims have recently been taken very seriously by the U.S. Census Bureau and led them to adopt differential privacy for releasing U.S. Census data. This in turn has caused consternation among users of the Census data due to the lack of accuracy of the protected outputs. It has also brought legal action against the U.S. Department of Commerce. In this article, we trace the origins of the claim that releasing information on a database automatically makes it vulnerable to being exposed by reconstruction attacks and we show that this claim is, in fact, incorrect. We also show that reconstruction can be averted by properly using traditional statistical disclosure control (SDC) techniques. We further show that the geographic level at which exact counts are released is even more relevant to protection than the actual SDC method employed. Finally, we caution against confusing reconstruction and reidentification: using the quality of reconstruction as a metric of reidentification results in exaggerated reidentification risk figures.
A Rejoinder to Garfinkel (2023) – Legacy Statistical Disclosure Limitation Techniques for Protecting 2020 Decennial US Census: Still a Viable Option
Authors: Muralidhar Krishnamurty , Domingo-Ferrer Josep
Published: September 2023

In our article “Database Reconstruction Is Not So Easy and Is Different from Reidentification”, we show that reconstruction can be averted by properly using traditional statistical disclosure control (SDC) techniques, also sometimes called legacy statistical disclosure limitation (SDL) techniques. Furthermore, we also point out that, even if reconstruction can be performed, it does not imply reidentification. Hence, the risk of reconstruction does not seem to warrant replacing traditional SDC techniques with differential privacy (DP) based protection. In “Legacy Statistical Disclosure Limitation Techniques Were Not an Option for the 2020 US Census of Population and Housing”, by Simson Garfinkel, the author insists that the 2020 Census move to DP was justified. In our view, this latter article contains some misconceptions that we identify and discuss in some detail below. Consequently, we stand by the arguments given in “Database Reconstruction Is Not So Easy:: :”.
A Note on the Optimum Allocation of Resources to Follow up Unit Nonrespondents in Probability Surveys
Authors: Tam Siu-Ming , Holmberg Anders , Wang Summer
Published: September 2023

Common practice to address nonresponse in probability surveys in National Statistical Offices is to follow up every non respondent with a view to lifting response rates. As response rate is an insufficient indicator of data quality, it is argued that one should follow up non respondents with a view to reducing the mean squared error (MSE) of the estimator of the variable of interest. In this article, we propose a method to allocate the nonresponse follow-up resources in such a way as to minimise the MSE under a quasi-randomisation framework. An example to illustrate the method using the 2018/19 Rural Environment and Agricultural Commodities Survey from the Australian Bureau of Statistics is provided.
A Survey Analysis: The Current Real Estate Marketing Situation in the China Greater Bay Area in the Context of the COVID-19 Epidemic
Authors: Kong Juan , Kepili Ema Izati Binti Zull
Published: September 2023

Real estate in the Guangdong-Hong Kong-Macao Greater Bay Area (also known as the Greater Bay Area, GBA) - a good representation of China’s advanced and developed urban agglomeration - has received considerable attention from the international community in recent years. However, the real estate market has been under extraordinary stress due to the expansion of COVID-19 in China, the strain on people’s livelihoods brought on by the coronavirus pandemic, and the Chinese government’s series of epidemic preventive initiatives. This study used a combination of qualitative and quantitative techniques, making use of interviews and questionnaires as instruments. It examined China’s GBA real estate market as the pandemic looms. The primary goals are to demonstrate the current state of the GBA’s real estate industry, pinpoint the factors holding back its growth, and estimate when the market might finally experience a breakthrough. Our findings suggested that the impact of COVID-19 on the GBA real estate sector in China is evident, but that it still has a bright future despite the negative externalities. This is because the city has a large population, high purchasing power, and is close to some of the most developed areas in southern China. This study establishes a baseline for studying the impact of China’s “One Belt, One Road” initiative on the GBA real estate market in the future. It also provides valuable resources for China’s GBA’s real estate industry.
Review of Clustering Methods Used in Data-Driven Housing Market Segmentation
Authors: Skovajsa Štěpán
Published: September 2023

A huge effort has already been made to prove the existence of housing market segments, as well as how to utilize them to improve valuation accuracy and gain knowledge about the inner structure of the entire superior housing market. Accordingly, many different methods on the topic have been explored, but no universal framework is yet known. The aim of this article is to review some previous studies on data-driven housing market segmentation methods with a focus on clustering methods and their ability to capture market segments with respect to the shape of clusters, fuzziness and hierarchical structure.
HUKUM PIDANA MATI DI INDONESIA BERDASARKAN PERSPEKTIF HAK ASASI MANUSIA DAN ALTERNATIF PENEGAKAN HUKUM
Authors: Cahyani Gisella Tiara , Sholehah Siti Bilkis , Salsabillah Dara Nurul , Ramandhana Muhammad Alwan , Pratama Revand Arya , Antoni Herli
Published: September 2023

Abstrak Hukum pidana mati merupakan hukuman dengan skala sanksi paling berat untuk pelaku tindak pidana luar biasa seperti narkotika, pembunuhan berencana, terorisme dan kejahatan terhadap keamanan negara. Di satu sisi, keberadaan sanksi berupa pidana mati dibutuhkan untuk kejahatan tertentu, namun di sisi yang lain penerapan hukum pidana mati di Indonesia dihadapkan pada hak asasi manusia, khususnya hak untuk hidup yang dijamin oleh UUD 1945 Pasal 28A ayat (1). Meskipun terdapat pembaruan dalam Kitab Undang-Undang Hukum Pidana (KUHP) terbaru yang mengatur masa percobaan selama 10 tahun, pro dan kontra tetap terjadi dalam penerapan pidana mati. Dalam artikel ini, penelitian dilakukan untuk menjawab permasalahan terkait keberadaan sanksi pidana mati dalam kaitannya dengan hak asasi manusia, dengan menggunakan metode penelitian hukum normatif. Hasil analisis menyimpulkan bahwa penggunaan hukuman mati akan terus menimbulkan kontroversi yang terus memunculkan perdebatan publik karena bertentangan dengan hak untuk hidup dan prinsip-prinsip keadilan.Kata Kunci : Hukum, Pidana Mati, Hak Asasi Manusia (HAM). AbstractThe death penalty is a punishment with the most severe sanction scale for perpetrators of extraordinary crimes such as narcotics, premeditated murder, terrorism, and crimes against state security. On the one hand, the existence of sanctions in the form of the death penalty is required for certain crimes, but on the other hand, the application of the death penalty in Indonesia is faced with human rights, especially the right to life which is guaranteed by the 1945 Constitution Article 28A paragraph (1). Even though there is an update in the latest Criminal Code (KUHP) which regulates probation for 10 years, pros and cons still occur in the application of the death penalty. In this article, research is conducted to answer problems related to the existence of capital punishment concerning human rights, using normative legal research methods. The results of the analysis conclude that the use of the death penalty will continue to generate controversy which continues to generate public debate because it is contrary to the right to life and the principles of justice.Keywords: Law, Death Penalty, Human rights.
Faktor-Faktor yang Berhubungan dengan Perilaku Hidup Bersih dan Sehat (PHBS) pada Santri MTS di Pondok Pensantren Al-Amanah Al-Gontory Tahun 2020
Authors: Ernyasih Ernyasih , Sari Melinda Mega
Published: September 2023

Perilaku Hidup Bersih dan Sehat (PHBS) ditatanan pesantren merupakan perpaduan dari tatanan institusi pendidikan dan tatanan rumah tangga yang bertujuan untuk membudayakan PHBS bagi santri, pendidik dan pengelola pesantren agar mampu mengenali dan mengatasi masalah kesehatan dilingkungan pesantren dan sekitarnya. Tujuan dalam penelitian ini adalah mengetahui faktor-faktor yang berhubungan dengan Perilaku Hidup Bersih dan Sehat (PHBS) pada Santri MTS di Pondok Pensantren Al-Amanah Al-Gontory tahun 2020. Desain penelitian menggunakan cross sectional dengan sampel 134, teknik pengambilan sampel menggunakan random sampling. Adapun analisis data dalam penelitian ini menggunakan uji statistik chi-square. Hasil analisis menunjukkan bahwa variabel yang berhubungan dengan PHBS diketahui adalah pengetahuan (p value=0,000), sikap (p value =0,009), sarana prasarana (p value =0,000) peran guru (p value =0,000) dan peran teman sebaya (p value =0,000). Sedangkan variabel yang tidak berhubungan yaitu umur (p value =0.184) dan jenis kelamin (p value =0,610). Diharapkan pondok pesantren membentuk peraturan terkait PHBS serta melakukan kegiatan penyuluhan rutin tentang manfaat dari penerapan PHBS.---Clean and Healthy Living Behavior (PHBS) in a pesantren setting is a combination of educational institutions and household structures that aim to cultivate PHBS for students, educators and pesantren managers to be able to recognize and overcome health problems in the pesantren environment and its surroundings. The purpose of this study was to determine the factors associated with Clean and Healthy Living Behavior (PHBS) in MTS Santri at Al-Amanah Al-Gontory Islamic Boarding School in 2020. The research design used a cross sectional study with a sample of 134, the sampling technique used random sampling. . The data analysis in this study used the chi-square statistical test. The results of the analysis show that the variables related to PHBS are known to be knowledge (p value = 0,000), attitude (p value = 0.009), infrastructure (p value = 0,000), the role of the teacher (p value = 0,000) and the role of peers (p value. = 0,000). Meanwhile, the unrelated variables were age (p value = 0.184) and gender (p value = 0.610). It is hoped that Islamic boarding schools will form regulations related to PHBS and carry out routine outreach activities about the benefits of implementing PHBS.
Strategi Bauran Pemasaran Rumah Sakit di Era Covid-19 (Study Rumah Sakit X)
Authors: Fajrini Fini , Andriyani Andriyani , Suherman Suherman , Latifah Noor , Herdiansyah Dadang , Romdhona Nur , Ernyasih Ernyasih
Published: September 2023

Pandemi Covid-19 mengubah banyak perilaku konsumen yang mengakibatkan berbagai macam bisnis menjadi anjlok, tak terkecuali rumah sakit. Hal ini berpengaruh pada biaya pemasukan penerimaan dan operasional rumah sakit. Penelitian ini bertujuan untuk mengetahui gambaran strategi bauran pemasaran Rumah Sakit X di Era Covid 19. Penelitian ini merupakan analisis kualitatif dilaksanakan di RS X dan informan penelitian ini adalah manajer marketing unit pelayanan. Penelitian ini dilaksanakan pada Juni sampai dengan Oktober 2020. Hasil penelitian yang didapatkan pada faktor produk, RS X sudah melakukan dengan pelayanan drive thru, faktor harga RS X memiliki sistem virtual account dan juga bisa menggunakan jasa pembayaran lain, faktor promosi RS X merubah metode marketing ke versi digital, faktor petugas telah menggunakan APD sesuai protokol dan jika pasien membutuhkan perawatan rawat inap RS X akan memisahkan antara pasien covid dan tidak covid, faktor fasilitas fisik lokasi RS X berada di lokasi strategis walaupun banyak pelayanan kesehatan lain di wilayah tersebut. Strategi bauran pemasarran RS yang dilakukan RS X ini bisa menjadi bahan rujukan atau referensi RS lain untuk bisa survive di tengah badai Covid yang melanda dunia.
Penularan Tuberkulosis Paru dalam Anggota Keluarga di Wilayah Kerja Puskesmas Siko Kota Ternate
Authors: Aja Nursia , Ramli Ramli , Rahman Hamidah
Published: September 2023

Mayoritas penularan tuberkulosis paru (TB paru) berasal dari luar lingkungan keluarga, akan tetapi intervensi komprehensif dalam lingkungan keluarga penderita TB paru juga penting. Salah satu cara penularan TB paru adalah melalui udara. Hal ini berarti bahwa salah satu risiko terjadinya penularan adalah melalui kontak dekat yaitu dari lingkungan keluarga. Penelitian ini bertujuan untuk melihat hubungan antara pengetahuan tentang pencegahan penularan TB paru, upaya pencegahan dalam keluarga dan dukungan keluarga terhadap pencegahan penularan TB paru. Rancangan penelitian yang digunakan adalah studi potong lintang serta teknik pengambilan sampel secara total sampel. Populasi yaitu penderita TB paru tahun 2019 yang ada di wilayah kerja Puskesmas Siko Kota Ternate dan diperoleh sebanyak 47 orang. Analisis data menggunakan uji Chi-square dengan taraf signifikansi pada p < 0,05. Hasil analisis menunjukkan terdapat hubungan yang signifikan antara pengetahuan (p = 0,021; PR = 1,478; 95% CI = 1,172 - 1,865), dan upaya pencegahan penularan (p= 0,046; PR=1,440; 95% CI= 1,159 –1,788) dengan insiden penularan TB paru. Pelaksanaan program pencegahan penularan TB paru perlu dilakukan secara komprehensif dan juga skirining ke anggota keluarga penderita dilakukan secara teratur agar angka penurunan TB paru cepat tercapai.
Diamonds of the Morgogor placer (Anabar, Yakutia)
Authors: Vyatkin S. V. , Kriulina G. Y. , Bardukhinov L. D. , Garanin V. K.
Published: September 2023

Research subject. The placer diamond deposit of the Morgogor River, Anabar, Yakutia. The geological history of this deposit has not been reliably established, and the root sources remain unknown. Aim. To describe the mineralogical and spectroscopic characteristics of diamonds from the Morgogor river deposit in comparison with the previously studied diamonds from the Ebelyakh river placer. To divide the studied diamonds into genetic groups, presumably reflecting the primary sources of demolition, according to the distribution of A-centers. To assess the stability of mineralogical and spectroscopic features for the identification of genetic groups. Materials and Methods. Data on 1386 diamond crystals mined from 1978 to 2018 were used. Detailed descriptions were made for 1168 of them; IR spectroscopic studies were carried out for 103 diamonds; informative EPR spectra were obtained for 61 diamonds. Results. Using IR spectroscopy data, the Morgogor diamonds were divided into three groups based on the content of A-centers according to the methodology previously developed for the study of Ebelyakh diamonds. The diamonds of the studied groups differed significantly in terms of the habitus and morphology of crystals, the development of plastic deformation processes, the content of inclusions, the presence and diversity of visual luminescence, as well as associations of paramagnetic centers. The difference between the Morgogor and Ebelakh samples consisted in the ratio of the shares of genetic groups, which can be interpreted as the influence of a geographical factor, i.e., location in relation to the sources and directions of demolition at all stages of placer formation. Conclusions. The diamonds of the Morgogor river have the same three primary sources as the diamonds of the Ebelakh river. Statistical separation of crystals by primary sources - genetic groups - is possible based on the distribution of the content of A-centers. This separation forms groups, whose diamonds differ not only in IR characteristics, but also in the morphological features and the nature of luminescence. The statistically significant samples of diamonds from various Anabar placers differ in the ratio of the shares of genetic groups, which reflects their geographical location, adjusted for the directions of demolition in the processes of formation and redeposition of placers. The data obtained can be used to identify the directions of demolition and, ultimately, to search for its primary sources.
Spontaneous Umbilical Endometriosis: Case Report of a Cyclical Painful Umbilical Swelling
Authors: Tagar Esteem , Owobu Clifford Ikhuoria , Ojebo Julian
Published: September 2023

Primary or spontaneous umbilical endometriosis is the presence of ectopic endometrial tissue in the umbilicus in the absence of previous surgery. It is a rare entity but should be considered as a possible differential diagnosis in cases of umbilical disorders even if the patient has no typical symptoms of pelvic endometriosis.
Analisis Yuridis Pertanggungjawaban Tindak Pidana Pencucian Uang Melalui Aset Kripto Di Indonesia
Authors: Yuda Bayu Pratama , Yoserwan Yoserwan , Afrizal Riki
Published: September 2023

Both Indonesia and countries that guide the establishment of crypto asset regulations such as America, Singgapura, and Japan, also face challenges related to their aspects and systems. With these aspects and systems, it will continue to complicate criminal liability for perpetrators who commit laundering. Theissues raised are; 1. How is the regulation regarding Money Laundering Crimes committed through Crypto Assets in Indonesian criminal law, 2. How is the Responsibility for Money Laundering Crimes committed through Crypto Assets. The research method used is normative juridical by examining from the point of view in the form of aspects of legality and criminal responsibility for perpetrators of money laundering through crypto assets based on Indonesian positive law. The results of the research obtained are; 1. The existing regulations in Indonesia currently relating to crypto assets, none of which include criminal provisions for perpetrators who use crypto assets as a mode of committing criminal acts. However, provisions in Law No. 11 of 2008 concerning Electronic Information and Transactions can be imposed on actors who use crypto assets as a new medium in committing criminal acts. And the use of crypto assets can also be classified as a mode of committing money laundering crimes, provided that the money converted into crypto assets comes from the proceeds of criminal acts as stated in article 2 of Law No. 8 of 2010 concerning the Prevention and Eradication of Money Laundering. 2. Criminal liability for perpetrators who misuse crypto assets as a mode of committing money laundering can be subject to articles 3, 4, and 5 of Law Number 8 of 2010 concerning the Prevention and Eradication of Money Laundering. This is based on the normative error theory, the principle of strict liability and based on the judge's consideration in the decision of case No. 1240/Pid.Sus/2022/PN.Tng
Evolução e tendências do uso de Aeronaves Remotamente Pilotadas no Brasil (2017-2022) e suas implicações para o geoprocessamento
Authors: Paz Otacílio Lopes de Souza , Ribeiro Ivandra Alves , Berra Elias Fernando , Paula Eduardo Vedor
Published: September 2023

As aeronaves remotamente pilotadas (RPA) revolucionaram o campo do Sensoriamento Remoto, democratizando a aquisição de dados geoespaciais aéreos. No Brasil, o uso das RPAs é regulamentado pela Agência Nacional de Aviação Civil (ANAC), por meio de cadastros em sistemas específicos vinculados ao Departamento de Controle do Espaço Aéreo. Como os dados de cadastro das RPAs são disponibilizados na internet, há uma oportunidade de analisar quantitativamente a evolução e o cenário atual do uso de RPAs no Brasil. Objetiva-se realizar esse balanço, apresentando o uso das RPAs no Brasil, elencando quantidades de cadastros, fabricantes e modelos das RPAs e ramos de atuação, tendo como recorte temporal de 2017 a 2022. Os dados tabulares foram coletados no endereço eletrônico da ANAC e do Portal Brasileiro de Dados Abertos, sendo analisados com uso do software Microsoft Excel. Foi observado aumento de 269% no total de RPAs cadastradas, com expressiva concentração no Distrito Federal, São Paulo, Santa Catarina, Mato Grosso do Sul e Paraná. Também foi identificado crescimento do número de registros de RPAs para uso profissional e por pessoas jurídicas, corroborando a ideia de uma progressiva profissionalização do uso das RPAs no País. Predomina no Brasil o uso de RPAs do tipo quadrimotor. A análise dos diversos ramos de aplicação permitiu uma classificação em quatro grandes áreas: recreação, comercial, poder público e pesquisas científicas. Os resultados corroboram a ideia de que as RPAs têm sido amplamente utilizadas em estudos técnico-científicos, sobretudo nas áreas de planejamento e gestão do território. Ao final, apresenta-se uma discussão/reflexão dos usos das RPAs em pesquisas científicas no campo do geoprocessamento.