bluuebunny/crossref_metadata_2025 huggingface dataset:
An overview of streamflow prediction using random forest algorithm
Authors: M.M Jibril  , Aliyu Bello  , Ismail I Aminu  , Awaisu Shafiu Ibrahim  , Abba Bashir  , Salim Idris Malami  , Habibu M.A  , Mohammed Mukhtar Magaji
Published: October 2022

Since the first application of Artificial Intelligence in the field of hydrology, there has been a great deal of interest in exploring aspects of future enhancements to hydrology. This is evidenced by the increasing number of relevant publications published. Random forests (RF) are supervised machine learning algorithms that have lately gained popularity in water resource applications. It has been used in a variety of water resource research domains, including discharge simulation. Random forest could be an alternate approach to physical and conceptual hydrological models for large-scale hazard assessment in various catchments due to its inexpensive setup and operation costs. Existing applications, however, are usually limited to the implementation of Breiman's original algorithm for extrapolation and categorization issues, even though several developments could be useful in handling a variety of practical challenges in the water sector. In this section, we introduce RF and its variants for working water scientists, as well as examine related concepts and techniques that have earned less attention from the water science and hydrologic communities. In doing so, we examine RF applications in water resources, including streamflow prediction, emphasize the capability of the original algorithm and its extensions, and identify the level of RF exploitation in a variety of applications.
Implementation of Rehabilitation for Narcotics Addicts in Positive Legal Perspective and Islamic Law
Authors: Analisa Lisa , Kamarusdiana Kamarusdiana , Adhha Nurul
Published: October 2022

This study aims to analyze the concept of rehabilitation of addicts at BABESREHAB BNN Lido West Java so that obstacles and challenges in the implementation of rehabilitation for narcotics addicts can be identified with the help of empirical normative analysis. This research also aims to analyze the actualization – in social rehabilitation, especially the mental coaching room. This research was a legal research with an interdisciplinary socio-legal study. The author uses this study model in order to describe legal issues more meaningfully from both a theoretical and practical point of view. This research was conducted at the Rehabilitation Center of the National Narcotics Agency (BABESREHAB BNN Lido West Java) Lido because this rehabilitation institution is a large rehabilitation center directly owned by the government, which was suspected to have made a major contribution to the success of rehabilitation in accordance with applicable laws and policies. This study also uses a mixed methodology consisting of reviewing legal documents and government policies and institutions under it, focus group discussions, and semi-structured interviews. This study also uses an ethnographic content analysis approach known as Ethnographic Content Analysis (ECA). Research informants consisted of 7 practitioner staff and 4 informants from rehabilitation residents. This study concludes that rehabilitation in Indonesia still requires attention from all parties, government, private, and family in solving all obstacles and challenges in its implementation. The allegation that the Lido National Narcotics Agency Rehabilitation (BABESREHAB BNN Lido West Java) which is directly controlled by the government, has contributed greatly to the success of rehabilitation in accordance with the law, applicable policy, as well as - not yet fully confirmed. This study found several problems in the implementation of rehabilitation, namely, (1) there is no reach out for prospective rehabilitation residents, (2) there are still dilemmas in forced rehabilitation, resident motivation, and vocational training (3) limited number of functional personnel, (4) lack of awareness legal and policy context, (5) Islamic mental development curriculum is not yet comprehensive.
Penetration of International Economic Law in the Development of the Cyber Notary Concept in Indonesia
Authors: Lubis Ikhsan , Murwadji Tarsisius , Sukarja Detania , Rosmalinda Rosmalinda
Published: October 2022

This study aims to describe the penetration of international economic law in the development of the cyber notary concept in Indonesia. The development of the world today, which has entered the Industrial Revolution 4.0, has forced international law to develop the idea of a cyber notary. It needs to be conducted because Indonesia has no legal instrument to regulate cyber notaries. This study adopts legal research conducted to examine the problem in a normative juridical approach where the author examines various laws and regulations because normative juridical conceptualizes law as a written norm and is poured into legislation used as a benchmark for the community. The study results indicate that various legal instruments have been established, such as legal norms regarding Cyber Notaries in Indonesia, which are contained in the Act, in particular a. Law No. 2 of 2014 concerning amendments to Law No. 30 of 2004 concerning the Position of a Notary. Law No. 11 of 2008 concerning Information and Electronic Transactions (UU ITE), Law No. 40 of 2007 concerning Limited Liability Companies.
Automated Corrosion Analysis With Prior Domain Knowledge-Informed Neural Networks
Authors:   Schlumberger, Benslimane Salma , Kherroubi Josselin ,   Schlumberger, Singh Kamaljeet ,   Schlumberger, Le Calvez Jean-Luc ,   Schlumberger, Berard Thomas ,   Schlumberger, Lemarenko Mikhail ,   Schlumberger
Published: October 2022

Well-integrity operations require knowledge of pipe conditions throughout the production life cycle of the wells. Corrosion defects in wellbores can have disastrous consequences on the safety and cost of operations and must therefore be closely monitored. However, data analysis over thousands of feet of a well for picking corrosion defects remains manual and time-consuming and still relies on a high level of expertise. To streamline and automate this data analysis process, we build on the availability of large public datasets and the recent progress of deep learning methods and propose a workflow to perform automated corrosion detection, identification of multishape damage, and casing thickness analysis for collapse and burst pressure calculations. Our proposed workflow is a custom deep learning network that integrates domain-knowledge constraints, performs multitype defect detections, and ultimately improves pipe corrosion evaluation in an efficient and consistent manner. We first design an unsupervised, labelfree autoencoder that reconstructs the background while discarding anomalies. In a second step, we combine our unsupervised model with a lightweight supervised learning task targeting the detection of elongated defect type. We trained our model end-to-end on more than 20 opensource ultrasonic datasets containing eclectic defects while paying special attention to balancing the learning of the different tasks and the model’s convergence. During the inference phase, we performed predictions on sliding windows of the test wells. The physics a priori constraint enabled a gain of 0.4 points (F1 score) and a high overall accuracy of 95%, and the combination of the supervised head with the autoencoder resulted in an accurate decomposition of the input image into meaningful components. This method of data analysis using artificial intelligence and machine learning techniques on a single well or wells at field level in time-lapse provides a consistent, efficient, and reliable answer for deciding whether to operate the well at a lower operating envelope or to plan an intervention/workover.
Best Image: Deep Learning for Saliency Estimation Using Expert Rankings
Authors:   Schlumberger, Loviken Pontus , Bize-Forest Nadege ,   Schlumberger, Quesada Daniel ,   Schlumberger, Mahfoudh Fatma ,   Schlumberger, Kherroubi Josselin ,   Schlumberger
Published: October 2022

When analyzing borehole image data, more is generally better. More sensors, higher resolution and multiple post-processing filters are typical strategies for ensuring that no important reservoir information is being missed. Handling large amounts of data can however be a hurdle. Storing the information at the time of measurement or sending large size data from downhole to the edge rig and then to the town geologist becomes a challenge. Analysis is another issue: How do you decide which channel to look at to extract the best information for reservoir characterization? In this work we propose a saliency score network, that given an interval of a borehole image assigns a score predicting how “interesting” a domain expert would find said interval. Having access to such scores brings several advantages and possibilities. Plotting scores versus depths provides a quick at-a-glance overview of a borehole image, for quality control, and for identifying and interpreting intervals that store the important information. The scores can also be used in a more direct way as a filter. Sections of a well containing no relevant information can be discarded at the point of collection to minimize data storage, and if using multiple sensors only the best sensor reading for each depth can be stored and sent to the interpreter. To create this scoring network two main problems had to be overcome: how to capture the preferences of the experts, and how to train a neural network to replicate these preferences. To capture the preferences of the experts we developed a labelling tool that allowed them to create a ranking from least interesting to most interesting, of more than 2000 images showing sections from different wells and depths. The expert made this ranking by comparing pairs of images and indicating which one was more interesting, or marking them as equal. A convolutional neural network, designed to capture the features and textures of borehole images, was then trained to assign a score to each image, using a pairwise loss that forces higher ranked images to get higher scores. We show that this type of training, where the network focuses on the relative scores between images, rather than predicting absolute scores, performs better in predicting their relative order. The trained network was able to identify relevant sections of wells, and where there was a discrepancy in quality between the sensors, select the better ones in agreement with expert evaluation.
Fracture Characterization Combining Borehole Acoustic Reflection Imaging and Geomechanical Analyses
Authors:   China University of Petroleum (East), Tang Xiao-Ming , Wang Pei-Chun ,   CNOOC, Li Shengqing ,   China University of Petroleum (East), Xiong Lei ,   CNOOC, Zhang Hanlin ,   China University of Petroleum (East)
Published: October 2022

The assessment of fracture fluid conducting capability in reservoirs is of great significance for hydrocarbon production, especially for tight reservoirs with fractures as the main reservoir fluid transport conduits. In recent years, the dipole shear-wave reflection imaging technology has been effectively applied to identify near-well formation fractures and determine their orientation; but the evaluation of the fluid conducting effectiveness of the acoustically-imaged fractures remains a challenging task. To accomplish this task, this paper proposes a method that combines the dipole acoustic reflection imaging with a geo-mechanical analysis to determine the stress state on the fracture surface. The fracture orientation and inclination, as obtained from the borehole reflection imaging, are combined with in-situ stress condition to calculate the effective stress state of the fracture surface using a 3D Mohr diagram analysis, which, when compared with the Mohr-Coulomb failure criterion, determines whether the fracture is in the critically stressed state and is therefore fluid conductive. Most importantly, our analysis shows that the typical 180-degree fracture orientation azimuth uncertainty in the dipole shear-wave imaging does not affect the determination of the stress state on the fracture surface in the Mohr-diagram analysis, so that the two methods can be effectively combined to form a new method for evaluating the fluid conducting effectiveness of fractures. The application examples from fractured reservoirs show the effectiveness of the new evaluation method, and the evaluation results can be used to provide useful information for field development and production planning.
Estimation of Matrix Properties From Geochemical Spectroscopy Logs Using Machine Learning
Authors:   Schlumberger-Doll Research, Gkortsas Vasileios-Marios , Craddock Paul ,   Schlumberger-Doll Research, Miles Jeffrey ,   Schlumberger-Doll Research, Datir Harish ,   Schlumberger, Venkataramanan Lalitha ,   Schlumberger
Published: October 2022

General machine learning-based algorithms have been developed to predict important matrix properties and an estimate of their uncertainties. Grain density, neutron porosities, cross sections for thermal neutron absorption (Sigma) and fast neutron elastic scattering (FNXS) are the considered properties. The models are trained in a proprietary core database of more than 2000 samples from a global distribution of sedimentary rocks. The performance of the matrix property predictions is demonstrated in independent core data and case studies from the field. The machine-learning models provide a significant improvement in accuracy over linear regression models, while eliminating the need for user inputs. The models help to account for the presence of unmeasured thermal absorbers (e.g., boron) through geochemical associations among the available log elements. The nonlinear models also provide better precision despite accounting for statistical noise on the input elements from logging measurements. We use field datasets to illustrate the improved performance in wells from the North Sea penetrating complex lithologies.
Peran Obat Herbal dalam Pandemi Covid-19
Authors: Hussaana Atina
Published: October 2022

Pencegahan dan penurunan kasus baru dari Covid-19 tidak terlepas dari melakukan dan menerapkan pola hidup sehat serta meminum obat herbal. Obat herbal sangat beragam ditemui di Indonesia, hal ini dapat membantu dalam mencegah penularan covid-19 dan dapat meningkatkan hidup sehat. Metode penelitian yang digunakan adalah metode kualitatif berdasarkan dari data sekunder yang diperoleh dari referensi kepustakaan data yang terkait dengan penelitian. Teknik pengumpulan data menggunakan teknik dokumentasi yakni mengumpulkan data dari berbagai referensi. Jenis data berupa data sekunder yang berupa data kuantitatif dari e-book, junal publikasi dan berita online serta video youtube yang terkait dengan peran obat herbal pada pandemi covid-19. �pada penelitian ini diperoleh informasi bahwa enam obat herbal seperti kunyit (Curcuma longa L.), temulawak (Curcuma xanthorriza Roxb), meniran (Phyllantus niruri L.), jambu biji (Psidium guajava), Jahe dan Sambilito.ditemukannya senyawa atau zat antiviral yang dapat mencegah penyebaran Covid-19 hal ini juga sudah dilakukan uji klinis sehingga dapat dikonsumsi dengan dosis yang pas untuk menghindari adanya efek samping.Prevention and decrease in new cases of Covid-19 is inseparable from doing and implementing a healthy lifestyle and taking herbal medicines. Herbal medicine is very diverse found in Indonesia, this can help in preventing the transmission of covid-19 and can promote a healthy life. The research method used is a qualitative method based on secondary data obtained from data literature references related to research. Data collection techniques use documentation techniques, namely collecting data from various references. The type of data is in the form of secondary data in the form of quantitative data from e-books, publications and online news as well as Youtube videos related to the role of herbal medicine in the pandemic-19.� In this study, information was obtained that six herbal remedies such as turmeric (Curcuma longa L.), temulawak (Curcuma xanthorriza Roxb), meniran (Phyllantus niruri L.), guava (Psidium guajava), Ginger and Sambilito.the discovery of antiviral compounds or substances that can prevent the spread of Covid-19 has also been carried out clinical trials so that it can be consumed at the right dosage to avoid side effects.
The Legal Ethics in Financial Technology: How is it Regulated?
Authors: Tiranda Yeheskiel Minggus , Rizki Lutfi Trisandi
Published: October 2022

The FinTech sector in ASEAN has grown dramatically. Southeast Asian FinTechs like GoJek and Grab grew from early roots to become digital economy behemoths. New players enter the fray on a regular basis, drawn in by their success and the region's market potential for the people. The purpose of this research is to find out the regulations and ethics of financial law that are used for the welfare of the people. The approach method used was a normative juridical approach, the results of the research result state that: Regulations or laws provide a level of trust, security, and comfort for the community and are something that the state must do without exception as a state of law. One form of protection is the establishment of laws or regulations relating to lending activities, specifically to protect users' rights. To ensure that this process is successful, the state intervenes in the contractual relationship between consumers and business actors, aiming to create a balanced relationship between users and business actors. Funder protection is concerned with protection. Law provided in an effort to obtain goods and services from potential losses due to their use.
The Human Resource Development Strategies in Improving Employee Performance in Cooperatives
Authors: Yuslem Nawir , Sugianto Sugianto , Ichsan Reza Nurul
Published: October 2022

This research aims to find out and analyze human resource management strategies in improving employee performance in cooperatives and determine the results of SWOT analysis of employee performance improvement strategies with IFAS and EFAS matrix can be identified important factors both from the external environment and the internal environment that become strengths, weaknesses, opportunities and threats from improved performance. The research conducted in this study was qualitative descriptive using SWOT analysis. From the results of the analysis obtained growth strategy or growth oriented strategy, this strategy signifies the state of the company that is strong and able to continue to grow by taking opportunities and opportunities that exist. To achieve maximum turnover. This strategy was chosen because the calculation results are in quadrant I where the total weighted score of weaknesses is 2.710504 while the total weighted score of the opportunity-threat 2.653142. The position on this quadrant is very profitable and can be applied to the maximum.
Exploring the Intellectual Property Rights Potential of an Intangible Heritage
Authors: Paserangi Hasbir , Yunus Ahsan , Anwar Riyad Febrian
Published: October 2022

This Article discusses the unique and distinct characteristics of Songkok to Bone product as economic potential product with promising market share to reach countries such as Malaysia and Singapore. However, until now, this potential has not been accommodated with protective efforts to secure the intellectual property rights aspect of this product, namely geographical indications. The purpose of this study was to analyze the potential protection of intellectual property rights in the form of Geographical Indications for Songkok to Bone products. The approach method used in this research is a normative and empirical approach by reviewing the laws and regulations relating to Geographical Indications and conducting direct interviews with the local government of Bone Regency and Songkok To Bone craftsmen in Paccing Village and Compong e Village in the District of Awangpone, Bone Regency. The results showed that the ignorance of the craftsman community (including the local government in Bone Regency) about the importance of protecting intellectual property rights for the songkok to bone product as well as the economic benefits of the registration, became the driving factors that the Songkok To Bone product had not been registered as a Geographical Indication Rights for the people of the Bone Regency, especially by the Songkok To Bone craftsmen.
The Notary Law Politics in the Notary Position Act
Authors: Iriantoro Agung
Published: October 2022

This study aims to determine the legal politics of the political aspects behind the process of forming laws and policies in a particular field, as well as greatly influencing the performance of relevant government institutions in that field in applying the provisions of legal products and policies, and also determine the policies of these institutions in a practical and operational setting. This research is a qualitative research with a normative juridical approach. Notary activities in Indonesia are heavily influenced by politics and law itself. The conclusion is that political influence can be seen from the making of a political product in the form of a special law that regulates the position of a notary, namely Act No. 2 of 2014 jo. No. 30 of 2004 concerning the Position of a Notary. And the status of Indonesia, which is a state of law, of course, will also affect the actions and actions of notaries because they must be guided by the applicable laws.
Multi-Emotion Recognition Model with Text and Speech Ensemble
Authors:   Korean Institute of Smart Media, Yi Moung Ho , Lim Myung Jin , Shin Ju Hyun
Published: October 2022

Due to COVID-19, the importance of non-face-to-face counseling is increasing as the face-to-face counseling method has progressed to non-face-to-face counseling. The advantage of non-face-to-face counseling is that it can be consulted online anytime, anywhere and is safe from COVID-19. However, it is difficult to understand the client's mind because it is difficult to communicate with non-verbal expressions. Therefore, it is important to recognize emotions by accurately analyzing text and voice in order to understand the client's mind well during non-face-to-face counseling. Therefore, in this paper, text data is vectorized using FastText after separating consonants, and voice data is vectorized by extracting features using Log Mel Spectrogram and MFCC respectively. We propose a multi-emotion recognition model that recognizes five emotions using vectorized data using an LSTM model. Multi-emotion recognition is calculated using RMSE. As a result of the experiment, the RMSE of the proposed model was 0.2174, which was the lowest error compared to the model using text and voice data, respectively.
Development, quality assessment and nutritive valorization of Spirulina platensis in yogurt spread
Authors: Nazir Fahid , Saeed Muhammad , Abbas Asad , Majeed Muhammad Rizwan , Israr Muhammad , Zahid Hamza , Ilyas Muhamad , Nasir Muhammad
Published: October 2022

Dairy products are an excellent source of lactose, water-soluble vitamins, proteins and minerals. They are not considered a key source of bioactive compounds, despite their positive nutritional benefits. The main objective of this study was to develop yogurt spread fortified with Spirulina platensis (SP) and to valorize its impact on the physicochemical properties, shelf life, and quality assessment of the yogurt spread during storage yogurt spread at 0, 14, and 28 d. SP is threadlike blue-green cyanobacteria or microalgae containing polyphenols, phytochemicals like flavonoids and carotenoids which act as antioxidants. Yogurt was developed by using low-fat milk fortified with SP by 1.5, 2.5, and 3.5% respectively to assess the shelf life of spread. The acquired data was inspected by using two-factor factorial designs (two-way analysis of variance) and LSD (Least significant difference) test was used for relative comparison of treatments. Physicochemical characteristics in yogurt spread were 75.6% moisture, 0.68% ash, 4.20 pH, 1.16% acidity, and 0.24mg of iron. Sensory evaluation of yogurt spread was done at different storage periods (0, 14, and 28 d). The current study revealed that SP can be fortified in yogurt spread for utilization of its bioactive substance’s benefits which in return can boost human health.
A meta-analysis of the effect of gamma irradiation on chicken meat quality: Microbiology and colour
Authors: Dimov Krasimir , Popova Teodora
Published: October 2022

A meta-analysis of the effect of gamma irradiation on the microbial status and colour in raw chicken meat was performed. A total of 14 studies were selected and data about the total viable count (TVC), coliforms (TCC), instrumental colour measurements - lightness (L*), redness (a*) and yellowness (b*) was extracted for evaluation in gamma treated and untreated meat. Due to the high between study heterogeneity, the meta-analysis was conducted through random-effects model applied on the raw mean difference (effect size) for each outcome of interest. The results of the meta-analysis showed that gamma irradiation considerably decreased TVC and TCC (P<0.001). Gamma rays also significantly diminished L* (P=0.013), but increased a* and b* (P<0.001). The meta-regression models showed that the dose of the radiation contributed to the overall effect of irradiation TVC (P=0.006), TCC (P=0.074) and a*(P=0.007). The effect of gamma rays on TVC was further influenced by storage (P=0.007), while package affected the increase of a* (P=0.100).
Comparison of Green Technologies for Valorizing Sugar Beet Leaves (Beta vulgaris L.)
Authors: Lante Anna , Ebrahimi Peyman , Mihaylova Dasha
Published: October 2022

This study is focused on the valorization of sugar beet leaves (Beta vulgaris L.), a prominent by-product wasted during the process of sugar. For doing so, Ultrasound-Assisted Extraction (UAE), Pressurized Liquid Extraction (PLE), and Maceration Extraction (ME) methods were compared by evaluating the extraction yield, Total Phenolic Compounds (TPC), Total Flavonoid Content (TFC), individual phenolic profile, and antioxidant activity (e.g., DPPH, FRAP, and ABTS). Ethanol and water (70% V/V) were employed as extracting solvents. The TPC for UAE and PLE methods was 4.90±0.083 and 6.46±0.33 (mg GAE/mL), respectively, differing significantly (P<0.05) from each other. Moreover, the TFC in the PLE method was the highest with 1.45±0.06 mg QE/mL (P<0.05). The antioxidant activity of extracts was significantly different as the PLE method yielded the highest quantities. Benzoic acid was present only in the PLE extracts, while PLE and ME methods recovered the highest quantity of syringic acid (0.35±0.00 mg/L) and pyrogallol (74.80±0.01 mg/L), respectively. However, the extraction yield obtained by the UAE method (19.58±0.33%) had a significant statistical difference from other methods. Therefore, despite the higher TPC and antioxidant activity reached by the PLE method, it was proved that UAE yields higher polyphenolic compounds with a lower quantity of beet leaves.
A Phenomenological Study on the Experience of Conducting Qualitative Research in Counseling Graduate Students
Authors:   Korean Association for Qualitative Inquiry, An Yujin , Kim Myeungchan
Published: October 2022

The purpose of this study is to increase accessibility to qualitative research by providing specific data on how counseling and qualitative research interact with each other by examining the experiences of graduate students majoring in counseling. To this end, the data was analyzed by conducting in-depth interviews with a total of seven graduate students majoring in counseling by applying the Giorgi phenomenological research method. As a result of the data analysis, 21 subcomponents and 8 components were derived. The results of the study were ‘Interest in myself and others becomes the basis of the study’, ‘Experienced trial and error in interviews with research participants’, ‘Trying to elicit the story of the research participants’, ‘Appropriate distance from research participants’, ‘I tried to maintain the quality of my research’, ‘Feeling that the work of a counselor and a qualitative researcher is similar’, ‘Growing up as a counselor through research’, ‘I myself grew up’, and ‘I came to know the meaning of research’. This study is meaningful in that it provided an in-depth understanding of the experience of performing qualitative research of graduate students in counseling major. In addition, basic data on the attitudes that graduate students of counseling major should have while conducting qualitative research are provided. This study is meaningful in that it increases access to qualitative research among graduate students of counseling majors and provides data on the connection between qualitative research and the development of counselors
A special education teacher’s experience of physical injuries: Focusing on the four-year change process
Authors:   Korean Association for Qualitative Inquiry, Sung Han Na
Published: October 2022

The purpose of this study was to examine the physical injuries experienced by the author at a special school by using the self-cultural descriptive method, focusing on the four-year change process. The researcher’s personal memories, transcripts of peer teacher interviews, and cultural artifacts were collected as qualitative data, and 4 core categories and 12 subcategories were generated according to a comprehensive analysis procedure based on pragmatic eclecticism. As a result of the study, first, the researcher experienced changes in emotions and emotions with the passage of time, such as embarrassment and anxiety, anger and depression, and fear and responsibility. Second, the researcher experienced a dilemma between continuous injuries due to educational intervention efforts, and experienced changes in perceptions of physical injuries and aggressive behaviors, such as feeling the need to cope with various types of aggressive behaviors. Third, the researcher experienced a change in human rights awareness, from the perception that student human rights and teaching rights are a contrasting concept to the creation of a school environment where everyone can learn and live safely. Fourth, the researcher also experienced changes in the action of internal and external protective factors overcoming injuries. The results of this study can be used as basic data for improving the quality of education and creating a safe educational environment by providing special education teachers who have experienced physical injuries an opportunity to ponder and reflect in the future to help them overcome difficulties caused by injuries
PENERAPAN NILAI-NILAI PANCASILA DALAM MENGATASI COVID-19 DI KELURAHAN LAGOA JAKARTA UTARA
Authors: Rosida Ida
Published: October 2022

Pandemi covid-19 ini telah menjadi bancana global dan bukan hanya terjadi di Indonesia,. Seluruh dunia terkena dampak negatif dari Covid-19 ini. Pandemi Covid-19 yang tengah dihadapi oleh Indonesia sejak bulan Maret 2020, bukan hanya Indonesia saja melainkan seluruh dunia. Di Indonesia sendiri pandemi Covid-19 telah mengubah kebiasaan masyarakat Indonesia yang suka berkumpul dan melakukan aktivitas secara normal. Covid-19 ini memberikan tantangan yang berkaitan bagaimana cara menanggulangi pendemi Covid-19 ini. Disisi lain ada kemajuan pengetahuan dalam digitalisasi. Artikel ini mengemukakan penerapan nilai-nilai pancasila dalam penanggulangi covid-19 dengan metode Literature review dengan teknik membbuat ringkasan (summarize) yang akan memberikan solusi bagaimana cara dan strategi menanggulangi Covid-19 ini dengan penerapan nilai-nilai Pancasila yang akan menjadi langkah yang baik untuk mengingatkan masyarakat, akan nilai-pancasila dalam kehidupan. Kita sebagai warga Negara Indonesia jangan pernah lupa untuk menerapkannila-nilai pancasila sebagai pedoman hidup bangsa dalam menanggulangi pandemic Covid-19. Kata Kunci: Pancasila, Nilai, Covid-19
Hubungan Religiusitas Dan Resiliensi Dalam Mempengaruhi Kesehatan Mental Masyarakat Terhadap Pandemic Covid 19
Authors: Tanamal Nini Adelina
Published: October 2022

Covid-19 oleh WHO dinyatakan sebagai Pandemi dan menyebabkan perubahan dalam tatanan kehidupan manusia. Penyebaran Covid-19 telah memberikan berbagai efek negatif terhadap kesehatan mental. Salah satu faktor protektif penurunan kesehatan mental adalah resiliensi. Tinjauan literatur ini bertujuan untuk mengetahui model teoritik dari faktor-faktor yang mempengaruhi resiliensi. Hasil studi ini menunjukkan bahwa resiliensi dapat dipengaruhi oleh religiusitas, dukungan sosial dan spiritualitas. Religiusitas, dukungan sosial dan spiritualitas dapat menjadi pendukung peningkatan resiliensi, di mana resiliensi dapat menjadi faktor protektif penurunan kesehatan mental di masa pandemi Covid-19. Penelitian ini menggunakan metode kuantitatif dan analisis deskriptif. Hasil temuan yang diperoleh, 83,3% responden menyatakan bahwa Kesehatan mental yang berkaitan dengan resiliensi berpengaruh terhadap religiusitas sesorang dan sisanya menyatakan “mungkin”. Temuan lainnya, 95,2% responden menyatakan bahwa bukan hanya religiusitas tetapi dampak sosial di masa pandemi akibat kurangnya pengetahuan spiritual dan kesehatan mental dan 4,8% menyatakan “tidak”. Lalu, sebanyak 73,8% responden menyatakan adanya pandemi berakibat pada kegiatan religius yang dibatasi dengan sistem daring (online) dilakukan jarak jauh menjadi salah satu faktor terjadinya gangguan pada Kesehatan mental dan 26,2% menyatakan “tidak”. Kemudian, 95,2% responden menyatakan menerima dengan syukur semua situasi supaya Kesehatan mental terjaga di masa pandemi. Maka dari itu, hubungan religiusitas dan Resiliensi bagi Kesehatan mental di masa pandemi ini sangatlah penting, supaya perubahan ini menguatkan spiritual dan hubungan sosial antar sesama terus terjaga.
Peran Kebudayaan Dalam Dunia Pendidikan THE ROLE OF CULTURE IN THE WORLD OF EDUCATION
Authors: Widyastuti Myta
Published: October 2022

Pendidikan secara praktis tak dapat dipisahkan dengan nilai budaya.  Kebudayaan merupakan bagian dari pendidikan. Keduanya sangat erat hubungannya karena saling melengkapi dan mendukung satu sama lainnya. Namun dalam perkembangannya kebudayaan mengalami proses globalisasi, ini sangat berpengaruh pada pendidikan. Pendidikan yang tidak dilandasi oleh prinsip dan kaidah-kaidah budaya itu akan menyebabkan peserta didik tercabut dari akar budayanya. Maka tujuan dari penelitian ini, mengetahui hubungan antara kebudayaan dan pendidikan, Peran Landasan budaya dalam pendidikan. Penelitian ini adalah penelitian Kualitatif dengan menggunakan metode library research tanpa disertai uji empiric. Hasil dari penelitian ini, antara budaya dan pendidikan terdapat hubungan yang sangat erat, kebudayaan adalah bagian dari pendidikan. Budaya dalam pendidikan bangsa merupakan inti dari suatu proses. Semakin tinggi kebudayaan makin tinggi pula pendidikan atau cara mendidiknya. Pendidikan yang terlepas dari kebudayaan akan menyebabkan alienasi dari subjek yang didik dan seterusnya kemungkinan matinya kebudayaan itu sendiri.  Pendidikan yang tidak dilandasi oleh prinsip dan kaidah-kaidah budaya itu akan menyebabkan peserta didik tercabut dari akar budayanya. Maka seluruh lapisan baik orang tua, guru maupun pemerintah berperan dalam mengajarkan kebudayaan melalui pendidikan.
A PHENOMENOLOGICAL STUDY OF LIVED EXPERIENCES OF PARENTS AT A YOUNG AGE
Authors: Gula Louie Petere
Published: October 2022

This study aims to find out the experiences encountered by the parents at a very young age considering their maturity and financial capabilities. This study highlights the form of gathering data which is conducted using an interview. This is done in a dyad form wherein only one respondent  is involved in the interview. The term qualitative research refers to the collection and analysis of non-numerical data and is sometimes based on a phenomenon which could be in a form of a survey questionnaire or an interview. Based on the data and analysis; poverty is the main reason for entering a marriage. Generally, the kind of life wished by everybody to have was not merely dictated by fate, it was a manifestation of personal choice. Each individual has their own choices in what to pursue and to sacrifice, the only sure thing that a person can do is to prepare for the consequences that await in the process
NUMERICAL LITERACY APPROACH IN MATHEMATICS EDUCATION IN JUNIOR HIGH SCHOOL
Authors: Fawziawati Dewi
Published: October 2022

Mathematics is a basic science, both its applied aspects and its reasoning aspects have an important role in the effort to master science and technology. Seeing the importance of the role of learning mathematics in all fields of science, it is not surprising that the government is very concerned with the development of mathematics at all levels of education in Indonesia. This research is a type of qualitative research, using descriptive method. While the notion of qualitative research can be understood as a research procedure that utilizes data and has the aim of describing and analyzing events, social dynamics, phenomena and attitudes of individual and group perceptions of something, the results of this study explain that, mathematics as one of the most important subjects that must taught to students at every school level, is a benchmark in creating competitive human resources. In learning mathematics itself, various basic abilities are needed, including partial ability, numerical ability, verbal ability, reasoning ability and so on. Numerical ability is one of the intelligence factors that play an important role in learning mathematics. These abilities are special that students have, and are very closely related to numbers and can be observed when students work on math problems such as multiplication, addition, subtraction, division and taking roots. Therefore, the numerical ability of students must be considered and trained continuously, especially when the teaching and learning process is being carried out in the classroom
Label-Free Direct Mass Spectrometry Analysis of the Bystander Effects Induced in Chondrocytes by Chondrosarcoma Cells Irradiated with X-rays and Carbon Ions
Authors: Gilbert Antoine , Payet Valentin , Bernay Benoît , Chartier-Garcia Elisabeth , Testard Isabelle , Candéias Serge M. , Chevalier François
Published: October 2022

Background: Radiation-induced bystander effects are induced changes in cells that were not themselves directly irradiated but were in the vicinity of a radiation path. Such effects, which occur in the microenvironment of an irradiated tumor, remain poorly understood and depend on the cell type and irradiation quality. This study aimed to evaluate bystander effects in non-irradiated chondrocytes that received conditioned medium from irradiated chondrosarcoma cells. Methods: SW1353 chondrosarcoma cells were irradiated with X-rays and carbon ions, each at 0.1 Gy and 2 Gy, and the conditioned media of the irradiated cells were transferred to T/C-28A2 chondrocytes and Human Umbilical Venous Endothelial Cells (HUVECs). The whole proteome of bystander chondrocytes was analyzed by label-free mass spectrometry, and a comparative study was performed by dose and irradiation quality. HUVECs were evaluated for inflammatory cytokine secretion. Results: The bystander response of chondrocytes to X-ray irradiation primarily affected the protein translation pathway (DHX36, EIF3B, EIF3D, EIF3M, EIF5, RPL6, RPLP0, RPS24, SYNCRIP), IL-12 (AIP, BOLA2, MIF, GAS6, MIF, PDGFRB) and the oxidative stress pathway (MGST3, PRDX2, PXDN, SOD2, TXN, TXNL1). Following carbon-ion irradiation, the G1/S pathway (PCBP4, PSMD12, PSME, XIAP) and mitotic G2 DNA damage checkpoint pathway (MRE11, TAOK1, UIMC1) were engaged. Changes in the regulation of chromosome separation (BCL7C, BUB3, CENPF, DYNC1LI1, SMARCA4, SMC4) were associated with only low-dose X-ray and carbon-ion irradiation. Modification of the protein translation pathway represented at least 30% of bystander effects and could play a role, possibly along with stress granules, in reduction in cellular metabolism to protect proteins. Stress granules were significantly enriched according to an interaction map. Conclusions: All these accessions corresponded to a window of the proteins modulated in response to the bystander effect. Our chondrosarcoma model clarified the nature of the bystander response of chondrocytes and may suggest several interesting new mechanisms that are specific to particular irradiation doses and qualities.
The Effects of Tangning Ziyabitusi on Gut Microbiota and T lymphocyte Subsets in Impaired Glucose Regulation Rats
Authors: Zhao Bingyao , Nuli Rebiya , Jiao Yi , Zhang Bing , Wang Ling , Guan Yaqun
Published: October 2022

Background: Impaired glucose regulation (IGR) represents the prediabetic state and is associated with gut microbiota (GM) dysbiosis and chronic inflammation. Tangning Ziyabitusi Tablet (TZT) is a Chinese Uyghur herbal medicine with preventative and therapeutic effects on diabetes, but its hypoglycemic mechanisms are unclear. Methods: Thirty-six male Wistar rats were divided into the normal diet (ND) and IGR groups. The IGR group was given a high-fat diet (HFD). After the IGR model establishment, the ND group was divided into ND and ND+TZT groups, and the IGR group into IGR and IGR+TZT groups. After 8 weeks of TZT administration, 16S rRNA sequencing and untargeted metabolomics were performed on fecal samples. Mesenteric lymph nodes were also collected, and T lymphocytes separated after rats were sacrificed. Flow cytometry was used to characterize different CD4+ T cell subsets in mesenteric lymph nodes. Finally, we analyzed the correlation between GM and characteristic fecal metabolites. Results: Impaired glucose tolerance and insulin resistance were improved in the IGR+TZT group when compared with the IGR group. Bacterial 16S rRNA sequencing results showed that Sobs and Chao1 indices in the IGR group were significantly decreased, but were increased in the IGR+TZT group. The relative abundance of Bacteroidetes was decreased while the relative abundance of Firmicutes was increased in the IGR group. Adlercreutzia abundance was decreased after TZT administration, while the abundance of Christensenellaceae_R-7_group, norank_f_norank_o_Clostridia_UCG-014, UCG-005, and Eubacterium_nodatum_group was increased in the IGR+TZT group. Lymph node CD4+ T cell proportions in the IGR group were significantly increased, while they were significantly decreased in the IGR+TZT group. Correlation analysis showed that tumor necrosis factor-α, interleukin-6, T helper cells (Th1, Th2, Treg), and insulin had a greater impact on GM community structure. Conclusions: TZT improved glucose tolerance and ameliorated GM dysbiosis in IGR rats. Additionally, TZT significantly modulated CD4+ T cell subset proportions in rat mesenteric lymph nodes and fecal metabolism. Moreover, correlation analysis showed that key microbiota was closely related to IGR indices. Thus, TZT modulated GM composition and immune functions of the intestinal mucosa. We provide useful information for the investigation of active mechanisms and the clinical application of TZT.
The unknown information transmission anomaly of precognition
Authors: Le Tam-Tri
Published: October 2022

Precognition (if existing) would suggest that it might be possible for the mind to take in knowledge relating to actual future occurrences under unidentified circumstances and via unidentified mechanisms.
Methods and Algorithms for Correlation Analysis in R
Authors: Makowski Dominique , Ben-Shachar Mattan S. , Patil Indrajeet , Lüdecke Daniel
Published: October 2022

Correlations tests are arguably one of the most commonly used statistical procedures, and are used as a basis in many applications such as exploratory data analysis, structural modelling, data engineering etc. In this context, we present correlation, a toolbox for the R language and part of the easystats collection, focused on correlation analysis. Its goal is to be lightweight, easy to use, and allows for the computation of many different kinds of correlations.
Rejecting “nativeness” to produce a more accurate and just Linguistics
Authors: Birkeland Annie , Block Adeli , Craft Justin T. , Sedarous Yourdanis , Wu Gou , Namboodiripad Savithry
Published: October 2022

Both the concept of NATIVE SPEAKER/SIGNER and the term itself have been widely critiqued across fields of language research. However, this term is still often used uncritically by linguists, with some disciplines centering the behavior and knowledge of NATIVE SPEAKERS as the main object of inquiry. We argue that the term NATIVE SPEAKER/SIGNER should not be treated as an objective analytic category. Instead, it is a language ideological assemblage, a cluster of related language ideologies which assume essentialized relationships between linguistic practices and social identities. By valorizing normative modes of language learning and use, NATIVENESS excludes already marginalized language users. Rather than simply avoiding the term or replacing it, we argue that linguists must interrogate the role of this concept and its associated theoretical baggage. We anticipate that moving away from NATIVENESS and the ideas surrounding it will encourage linguists to account for the diverse linguistic repertoires held by all language users, force theoretical approaches to center non-normative language use, and lead overall to a more accurate and just discipline
Enjoying Art: The Experience of Beauty from Understanding Regularities
Authors: Serrao Fabrizio
Published: October 2022

Art production and enjoyment is a universal human behavior, yet the reasons why it evolved remain elusive. Works of art can convey strong emotions, and various authors attempted to explain the enjoyment of such emotions from an evolutionary perspective. Other authors focused instead on emergent properties of works of art: patterns and coherence, symmetry and proportions, harmony and consonance. Here, I argue that all these emergent properties fall into the definition of regularity, as well as other features that have been overlooked and yet create beauty in all arts (including literature). More precisely, I define a regular composition as having its elements arranged according to a rule that is understandable ‘a priori.’ Furthermore, I propose two novel evolutionary insights into the enjoyment of complex regularities. First, the enjoyment may stem from the drive to gain information on the environment, which would result in a preference for those arrangements that can be understood ‘a priori’ but provide information on a variety of elements. Second, because regularity is mostly a product of life, the attraction to regular stimuli might have evolved to promote the detection of living beings. This would encourage the interaction with other organisms in accordance with Wilson’s ‘biophilia’ hypothesis.