bluuebunny/crossref_metadata_2025 huggingface dataset:
POPULASI BAKTERI DAN RESPIRASI MIKROBA TANAH PADA RHIZOSFER TANAMAN JAGUNG ( Zea mays L.) YANG DIBERI PUPUK TERPADU DAN BIOCHAR SEKAM PADI PADA MASA VEGETATIF MAKSIMUM
Authors: Saputra Eta , Putu Silawibawa , Susilowati Lolita Endang , Dewi Rika Andriati Sukma
Published: March 2024

This study aims to determine the Bacterial Population and Microbial Respiration in the rhizosphere of corn plants due to the application of integrated fertilizers and rice husk biochar soil amendments during the maximum vegetative period. This research was conducted using an experimental method with polybag experiments in a greenhouse from July to September 2021. The experiment was arranged using a completely randomized design (CRD) with 7 treatment combinations P0 (control treatment), P1 (Urea + phonska administration), P2 ( Giving Urea + Phonska + Biochar), P3 (Giving Urea + Phonska + BPF), P4 (Giving Urea + Phonska + Biochar + BPF), P5 (Giving Urea + Phonska + BPF + Compost), P6 (Giving Urea + Phonska + Biochar) + BPF + Compost). Each treatment was repeated 3 times, so as many as 21 units of experimental polybags were obtained. Parameters measured were total bacterial population, population of phosphate solubilizing bacteria, soil microbial respiration, pH, cation exchange capacity, and C-Organic. The results showed that the application of integrated fertilizers (inorganic, compost and biological-BPF) and rice husk biochar had a significant effect. on the total bacterial population, BPF and soil microbial respiration in the corn plant rhizosphere observed at the maximum vegetative period. From this study, it was concluded that the combination of inorganic fertilizer + organic fertilizer + bpf and biochar was the best combination in increasing the total population of bacteria, phosphate solubilizing bacteria and soil microbial respiration.
ANALISIS PREFERENSI KONSUMEN TERHADAP GULA SEMUT AREN DI PULAU LOMBOK
Authors: Selamet Ario Jamari , Budastra I Ketut , Efendy Efendy
Published: March 2024

This study aims to: (1) Describe consumer buying behavior towards Crystals Palm Sugar from point of purchase, purchase frequency, purchase amount and purchase purposes on Lombok Island, (2) Analyze consumer preferences on Crystals Palm Sugar attributes on Lombok Island.

The method used is the descriptive method. The unit of analysis in this study was the consumers of crystals palm sugar on the island of Lombok. Determination of the sample area using purposive sampling with the consideration that West Lombok Regency is an crystals palm sugar production location and sale location and the city of Mataram is a crystals palm sugar production retail outlet. The number of respondents in this study was 50 respondents that were determined by the accidental sampling technique. The types of data used are qualitative data and quantitative data. The data sources used are primary data and secondary data. The data analysis used was an interval scale evaluation and it was processed by conjoint analysis with the help of the SPSS version 25 application.

The results of this study indicate that: (1) The purchasing behavior of crystals palm sugar consumers in Lombok Island is that they prefer to buy at the production site, twice a month, the number of purchases is > 1000 gr in a month, and the purpose of the purchase is for consumption. (2) Crystals palm sugar attributes that are consumer preferences based on utility value are original flavor 0.095, IDR15,000-IDR25,000 price 0.357, permanent bag packaging type 0.180, BPOM label 0.590, halal label 0.855, and 1000gr size 0 .332. The crystals palm sugyar attributes that respondents considered the most when choosing crystal palm sugar on Lombok Island in sequence, starting from most considered to least considered, were halal label value 23,599, price 21,068, BPOM label value 17,002, packaging type value 16,511, size value 14,601, and last one is the aroma attribute with an importance value of 7.219.
STRATEGI PENGEMBANGAN USAHA KELOMPOK WANITA TANI (KWT) “VIDA BERSEMI” (STUDI KASUS: KELURAHAN PADURENAN KECAMATAN MUSTIKA JAYA, KOTA BEKASI)
Authors: Rizaldi Arya Rahman , Amir Indra Tjahaja , Rizkiyah Noor
Published: March 2024

Penelitian ini bertujuan untuk merumuskan strategi yang tepat untuk pengembangan usaha, Kelompok Wanita Tani (KWT) Vida Bersemi. Metode analisis yang digunakan dalam penelitian ini menggunakan analisis deskriptif, analisis dan matriks SWOT, matriks I-E, dan metode QSPM. Hasil penelitian ini menunjukan bahwa terdapat sepuluh faktor internal dan sepuluh faktor eksternal yang mempengaruhi dengan hasil perhitungan IFE senilai 2.577 dan EFE senilai 2.824. Berdasarkan identifikasi I-E, KWT Vida Bersemi menempati posisi pada sel lima yaitu strategi Hold and Maintain. Berdasarkan SWOT matriks, terdapat delapan alternatif strategi yang telah dirumuskan berdasarkan hasil analisis dari faktor lingkungan, yaitu SO1 yaitu mengoptimalkan peran anggota kelompok, SO2 yaitu Memperluas jangkauan pemasaran produk, WO1 yaitu dilakukan sosialisasi dari Pemerintah, WO2 yaitu mulai berkerjasama dengan mitra setempat, ST1 yaitu meningkatkan kegiatan promosi, ST2 yatiu mengoptimalkan lokasi dan teknologi produksi, ST3 yaitu memfokuskan kegiatan penelitian dan pelatihan, dan WT1 yaitu melakukan pengembangan produk. Berdasarkan hasil analisis matriks QSPM, terdapat dua strategi prioritas yang dapat dilakukan oleh perusaahaan, diataranya SO1 yaitu mengoptimalkan peran anggota kelompok tani untuk meningkatkan kinerja, dan ST2 yaitu mengoptimalkan lokasi dan teknologi produksi untuk memenuhi permintaan pasar.Kata Kunci : Strategi, EFE, IFE, SWOT, QSPM
THE IMPACT OF PRICE POLICY SUPPORT ON INDONESIAN CASSAVA FARMERS
Authors: Rachman Muhamad Emil , Nursan Muhammad
Published: March 2024

Cassava is a carbohydrate-producing plant that can replace other crops such as rice and corn which are widely consumed by the community. The price policy of cassava farmers in the last five years has decreased very significantly, so it is necessary to conduct research on the impact of policies issued by the government. Factors in producing cassava also need to be improved, one of which is increasing productivity through fertilizer subsidies so that the output produced is positive from upstream to downstream, especially in the economy of Indonesian cassava farmers. This study aims to see the impact of the price policy of cassava farmers and production supporting factors in the form of fertilizer subsidy policies so that farmers' welfare levels. This study uses data from 2000 to 2019, the simultaneous equation model consists of 20 equations which are estimated using the Two Stage Least Square (2SLS) method.
PENGARUH PEMBERIAN KOMBINASI MEDIA TANAM PUPUK KASCING DAN ARANG SEKAM TERHADAP PERTUMBUHAN DAN HASIL TANAMAN PAKCOY (Brassica rapa L.)
Authors: Suryaningsih Liana , Ngawit I Ketut , Deona Elisabet Berbara Bare
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh pemberian kombinasi media tanam arang sekam dan pupuk kascing terhadap pertumbuhan dan hasil tanaman pakcoy (Brassica rapa L.). Penelitian ini dilakukan pada bulan April-juni 2023, di Jalan Jempiring No. 9 Gomong Baru Nusa Tenggara Barat (NTB) dengan menggunakan Rancangan Acak Lengkap (RAL) faktorial yang terdiri dari 2 faktor 15 kombinasi perlakuan dan 3 ulangan. Faktor I terdiri dari 3 taraf yaitu m1 perlakuan arang sekam : tanah (1:1), m2 arang sekam : tanah (1:2), m3 arang sekam : tanah (1:3). Faktor perlakuan ke II dosis pupuk kascing dengan 5 taraf yaitu: dosis d1= 20 gram/polybag, d2= 30 gram/polybag, d3= 40 gram/polybag, d4= 50 gram/polybag, d5= 60 gram/polybag. Data hasil penelitian dianalisis menggunakan sidik ragam (ANOVA) pada taraf 5% dan diuji lanjut dengan BNJ taraf 5%. Hasil penelitian menunjukkan bahwa kombinasi pemberian media tanam arang sekam dan pupuk kascing tidak berbeda nyata terhadap pertumbuhan dan hasil tanaman pakcoy (Brassica rapa L.). Pemberian media tanam arang sekam pada perlakuan m3 (arang sekam : tanah 1:3) memberikan hasil terbaik pada parameter tinggi tanaman, jumlah daun, dan bobot basah per tanaman. Pemberian mandiri dosis pupuk kascing tidak berbeda nyata terhadap semua parameter pengamatan, namun dosis tertinggi pupuk kascing yang digunakan (60 gram per polybag) cenderung memberikan pengaruh yang baik terhadap pertumbuhan dan hasil pakcoy.
Fisioterapia: uma abordagem contemporânea - Volume 6
Authors: Silva Marlla Souza da , Araruna Fernanda Oliveira Sousa , Maia Sandra Cristina , dos Santos Sousa Leydianne
Published: March 2024

A fisioterapia enquanto ciência do movimento humano, estuda os diversos sistemas responsáveis pelo adequado funcionamento das respostas motoras frente aos estímulos recebidos. Nessa obra, encontram-se reunidos trabalhos de conclusão de curso – TCC, abordando de forma integral os temas mais relevantes da área da fisioterapia, servindo de referência bibliográfica para atualização profissional e acadêmica. Os estudos aqui apresentados abrangem temas clássicos, contudo com uma perspectiva da reabilitação atual. Além disso, também estão disponíveis pesquisas que abordam assuntos mais complexos, de forma clara e concisa.
Business intelligence tools in finance: A review of trends in the USA and Africa
Authors: Adetumi Adewumi  , Ese Eigbadon Oshioste  , Onyeka Franca Asuzu  , Ndubuisi Leonard Ndubuisi  , Kehinde Feranmi Awonnuga  , Onyeka Henry Daraojimba
Published: March 2024

This paper provides a comprehensive overview of the current trends in Business Intelligence (BI) tools within the finance sector, with a specific focus on the divergent landscapes of the USA and Africa. As the financial industry evolves, the integration of advanced BI tools has become imperative for informed decision-making and sustainable growth. This review examines key developments, challenges, and opportunities shaping the implementation of BI tools in both regions. In the USA, financial institutions are witnessing a surge in BI tool adoption, driven by the increasing need for real-time data analytics, regulatory compliance, and risk management. The integration of artificial intelligence and machine learning algorithms in BI tools is enabling predictive analytics, empowering financial professionals to make strategic decisions in a rapidly changing market environment. Additionally, the emergence of cloud-based BI solutions is enhancing scalability and accessibility, facilitating seamless collaboration and data-driven insights. Contrastingly, the African financial landscape is experiencing a gradual but promising shift towards BI tool utilization. The continent, characterized by diverse economies and regulatory frameworks, faces unique challenges such as infrastructure limitations and varying levels of technological readiness. However, the potential for BI tools to revolutionize financial operations, improve transparency, and facilitate financial inclusion is evident. Governments and financial institutions are investing in technology infrastructure and skill development to harness the transformative power of BI tools. This review underscores the importance of understanding regional nuances in the adoption of BI tools, recognizing that effective implementation requires tailored strategies. As both the USA and Africa navigate the evolving financial landscape, the convergence of technological advancements and strategic planning will undoubtedly play a pivotal role in shaping the future of BI tools in the finance sector
Cybersecurity risks in online banking: A detailed review and preventive strategies applicatio
Authors: Adedoyin Tolulope Oyewole  , Chinwe Chinazo Okoye  , Onyeka Chrisanctus Ofodile  , Chinonye Esther Ugochukwu
Published: March 2024

In an era where the digital transformation of the banking sector intersects with the escalating complexity of cyber threats, this paper endeavors to dissect the multifaceted realm of cybersecurity within the banking industry. With a backdrop of increasing online banking adoption and the concomitant rise in cybercrime, the study aims to illuminate the current cybersecurity landscape, evaluate the efficacy of existing frameworks and propose strategic enhancements to fortify digital defenses. Employing a methodological amalgam of literature review and analysis of recent cybersecurity incidents, this investigation delves into the intricacies of cyber threats, the financial repercussions of breaches and the robustness of current cybersecurity measures in banking. The scope of this paper encompasses a comprehensive examination of recent cyber incidents, an assessment of the financial impact of cyber-attacks, an evaluation of the effectiveness of existing cybersecurity frameworks and the formulation of strategic recommendations for bolstering cybersecurity measures. Through this scholarly inquiry, key findings emerge, highlighting the critical need for dynamic cybersecurity strategies that integrate advanced technologies, promote regulatory compliance and foster a culture of cybersecurity awareness. Conclusively, the study posits that the banking sector must embrace a holistic and adaptive approach to cybersecurity, underscored by strategic investments in technology, education, and collaboration. Recommendations advocate for the integration of Big Data analytics, artificial intelligence and continuous risk assessment methodologies to navigate the evolving cyber threat landscape effectively. This paper serves as a clarion call to banking institutions, urging a reinvigorated commitment to cybersecurity resilience in safeguarding financial assets and customer trust against the backdrop of digital transformation.
Deep learning-based retinal abnormality detection from OCT images with limited data
Authors: Mohammad Talebzadeh  , Abolfazl Sodagartojgi  , Zahra Moslemi  , Sara Sedighi  , Behzad Kazemi  , Faezeh Akbari
Published: March 2024

In the realm of medical diagnosis, the challenge posed by retinal diseases is considerable, given their potential to complicate vision and overall ocular health. A promising avenue for achieving highly accurate classifiers in detecting retinal diseases involves the application of deep learning models. However, overfitting issues often undermine the performance of these models due to the scarcity of image samples in retinal disease datasets. To address this challenge, a novel deep triplet network is proposed as a metric learning approach for detecting retinal diseases using Optical Coherence Tomography (OCT) images. Incorporating a conditional loss function tailored to the constraints of limited data samples, this deep triplet network enhances the model’s accuracy. Drawing inspiration from pre-trained models such as VGG16, the foundational architecture of our model is established. Experiments use open-access datasets comprising retinal OCT images to validate our proposed approach. The performance of the suggested model is demonstrated to surpass that of state-of-the-art models in terms of accuracy. This substantiates the effectiveness of the deep triplet network in addressing overfitting issues associated with limited data samples in retinal disease datasets.
A comprehensive review of Building Energy Management Systems (BEMS) for Improved Efficiency
Authors: Wags Numoipiri Digitemie  , Ifeanyi Onyedika Ekemezie
Published: March 2024

Building Energy Management Systems (BEMS) play a crucial role in enhancing energy efficiency and sustainability in buildings. This abstract provides a comprehensive review of BEMS, focusing on its components, benefits, challenges, and future trends. BEMS is a centralized system that monitors and controls building services, such as heating, ventilation, air conditioning, lighting, and other systems, to improve energy efficiency and occupant comfort. The key components of BEMS include sensors, controllers, communication networks, and user interfaces. These components work together to collect data on building performance, analyze energy consumption patterns, and optimize system operation. One of the primary benefits of BEMS is its ability to reduce energy consumption and costs. By monitoring and controlling building systems based on occupancy schedules and environmental conditions, BEMS can significantly reduce energy waste. Additionally, BEMS can improve occupant comfort and productivity by maintaining optimal indoor environmental conditions. Despite its benefits, BEMS faces several challenges, including high upfront costs, complexity of installation, and integration issues with existing building systems. However, advancements in technology, such as the Internet of Things (IoT) and cloud computing, are addressing these challenges and making BEMS more accessible and cost-effective. Looking ahead, the future of BEMS is promising, with continued advancements in technology driving its adoption and integration into smart building systems. The integration of artificial intelligence and machine learning algorithms into BEMS is expected to further improve its energy-saving capabilities and enhance building performance. In conclusion, BEMS is a key technology for improving energy efficiency and sustainability in buildings. By leveraging its components and capabilities, BEMS can help reduce energy consumption, lower costs, and create healthier and more comfortable indoor environments.
Pengaruh Penggunaan Alat Peraga Dakota terhadap Hasil Belajar
Authors: Tri Anjani Ratih , Pravitasari Dyah , Rosa Sinensis Arini
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan alat peraga dakota terhadap hasil belajar siswa kelas IV SDN 01 Tugu Harum. Desain penelitian yang digunakan adalah Pre-Experimental Design dengan One-Group Pretest-Posttest Design. Adapun subjek penelitian nya yaitu siswa kelas IV SDN 01 Tugu Harum yang terdiri dari 28 siswa. Dalam penelitian ini diperoleh hasil nilai rata-rata pretest43,75 % dan nilai rata-rata posttest yaitu 86,79 %. Berdasarkan uji hipotesis menggunakan software SPSS versi 25 melaluiuji paired sampel t test diperoleh nilai signifikansi 0,000 < 0,05 yang artinya Ho ditolak dan Ha diterima. Sehingga dapat disimpulkan bahwa terdapat pengaruh yang signifikan penerapan alat peraga dakota terhadap hasil belajar siswa kelas IV SDN 01 TuguHarum.
Evaluasi Strategi Pemasaran Produk bagi Pedagang Kaki Lima Selama Masa Pandemi Covid 19 di Stadion Bangkalan
Authors: Arisinta Octaviana
Published: March 2024

Penelitian ini bertujuan untuk mengetahui strategi pemasaran produk bagi pedagang kaki lima selama masa pandemi cvid 19 di stadion Bangkalan. Teknik yang digunakan dalam penelitian ini yaitu menggunakan Teknik observasi, wawancara, dan dokumentasi. Sumber data yang gunakan ialah data primer dan sekunder, Selanjutnya analisis data yang terdiri dari pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Pedagang Kaki Lima yang ada di Stadion Kota Bangkalan menggunakan konsep strategi Bauran Pemasaran untuk menarik minat beli konsumen diantaranya penerapan strategi Produk,  Harga, Tempat, dan Promosi, dengan penerapan starategi tersebut mereka mampu menarik sabagian besar masyarakat yang ada di wilayah Kota Bangkalan atau pun masyarakat yang ada di luar Kota Bangkalan agar mereka datang berbelanja di Stadion Kota Bangkalan. Minat Beli atau kemauan konsumen untuk berbelanja di Pedagang Kaki Lima yang ada di stadion kota Bangkalan dipengaruhi beberapa alasan seperti, konsumen lebih memperhatikan kualitas produk yang dijual, harga yang tawarkan, suatu tempat yang strategis dan nyaman, serta pelayanan yang di berikan oleh Pedagang Kaki Lima Itulah mengapa konsumen tidak akan bosan untuk datang berbelanja di Stadion Kota Bangkalan.
Peran Akuntansi dalam Etika Bisnis Islam
Authors: Harisah  , Sahi Ahmad
Published: March 2024

Every sharia business activity requires accurate recording to provide confidence for everyone who has an interest, the accurate recording will be read with the role of good sharia accounting so that every activity will be easy to read. Thus, this study was reviewed using a theoretical qualitative method by describing some of the results of previous studies and adequate theories. This study found that accounting is one of the activities that must be carried out by business people to reflect every transaction made that will have a positive impact on business people and all parties who need accurate data related to the business, and this accounting is also a form of ethics for business actors. a business that is by the sharia concept
Analisis SiLPA Sebagai Alat Ukur Pengelolaan APBD pada Dinas Perindustrian dan Perdagangan Kabupaten Blitar
Authors: Amelia Fitri , Khoiriawati Novi
Published: March 2024

Funds and Budget Calculation Excess Remaining (SiLPA) is the difference in funding from the realization of the revenues and expenditures for one period. The existence of SILPA in a period indicates the excess remaining financing in that period. The objective of this research was to analyze the performance of APBD management and found out the causes of SILPA in the period 2016 – 2020. This research was carried out at the Department of Industry and Trade of Blitar Regency using descriptive qualitative methods. Data collection techniques were carried out by observation, interviews, and documentation. The results showed that the performance of APBD management was good and efficient. Meanwhile, the existence of SILPA was due to the efficiency of spending and exceeding income.

Keywords : APBD, SiLPA
Analisis Teknikal Saham Kalbe Farma dengan Menggunakan Moving Average Convergence Divergence dan Stochastic Ocillator Selama Pandemi Covid-19 Periode 2020-2021
Authors: Mustaqim M. , Putrihadiningirum Devika Cherly , Wahyuningtiyas Nanik
Published: March 2024

The purpose of this study is to provide information to assist you in making decisions to buy or sell stock prices by analyzing the stock performance of Kalbe Farma. The moving average convergence indicators and the stochastic oscillator shows that Kalbe Farma is a pharmaceutical company with an excellent opportunity during the Covid-19 pandemic. This research is a descriptive study using secondary data on Kalbe Farma's stock price, while the population in this study is the total stock price of PT. Kalbe Farma. The sample in this study is the stock price of Kalbe Farma for the 2020-2021 period. The result of this study is that the Kalbe Farma Company did not experience a significant difference in share prices during the Covid-19 pandemic. The moving average convergence also shows that Kalbe Farma's stock has two golden crosses and three death crosses. This indicator means a signal to sell shares three times and buy shares twice from 2020 to 2021. The stochastic oscillator gives five oversold signals where investors have a good opportunity to buy shares and three overhold signals where investors have an excellent chance to sell their shares.
 
Tujuan dari penelitian ini adalah untuk memberikan informasi untuk membantu Anda dalam mengambil keputusan untuk membeli atau menjual harga saham dengan menganalisis kinerja saham Kalbe Farma. Indikator konvergensi moving average dan stochastic oscillator menunjukkan bahwa Kalbe Farma merupakan perusahaan farmasi dengan peluang yang sangat baik selama pandemi Covid-19. Penelitian ini merupakan studi deskriptif dengan menggunakan data sekunder harga saham Kalbe Farma, sedangkan populasi dalam penelitian ini adalah total harga saham PT Kalbe Farma. Sampel dalam penelitian ini adalah harga saham Kalbe Farma periode 2020-2021. Hasil penelitian menunjukkan bahwa harga saham perusahaan Kalbe Farma tidak mengalami perbedaan yang signifikan selama pandemi Covid-19. Konvergensi moving average juga menunjukkan bahwa saham Kalbe Farma memiliki dua golden cross dan tiga death cross. Indikator ini merupakan sinyal untuk menjual saham sebanyak tiga kali dan membeli saham sebanyak dua kali dalam medio 2020 hingga 2021. Stochastic oscillator memberikan lima sinyal oversold di mana investor memiliki peluang bagus untuk membeli saham dan tiga sinyal overhold di mana investor memiliki peluang bagus untuk menjual sahamnya.
An Application of Fintech for A Modern Islamic Financial Industry: Challenges and Practical Solutions
Authors: Ajib Wan Hasanah Megat
Published: March 2024

Fintech can be defined as a digital financial service by using sophisticated technologies through software systems. This paper aims to define Fintech in an understandable definition. This study also attempts to find out the challenges of Fintech application in the modern Islamic financial industry. Then, practical solutions are recommended in this paper to address the arising current challenges to ensure the maximization of Fintech usage in a modern Islamic financial industry. This paper relies on past literature, past studies, published reports, online news, and official website portals related to the topic. The qualitative method is used for this study by reviewing the collected past literature reviews to achieve the objective of the research. Hence, the findings revealed that there are 12 challenges of Fintech application encountered by the Islamic financial industry; ; (1) Regulation framework; (2) Human resources; (3) Sharia-compliant issue; (4) Security risk; (5) High competition from Fintech Firms; (6) Clients’ and Investors’ trust; (7) Adaptation of new Fintech tools; (8) Government support; (9) Lack of IT skills by the client; (10) Lack of technology and capital venture; (11) Islamic Financial Business Model and its management; and lastly (12) Penetration of international market. Next, practical solutions are suggested for every Fintech challenge to achieve the second research objective of this paper. The practical solutions are targeted to the national and global policymakers. This paper helps to improve Fintech usage in the Islamic financial industry with the latest sophisticated technologies to be able to sustain in the market while maintaining its reputation.
Potensi Cash Waqf Linked Sukuk sebagai Instrumen Pemulihan Ekonomi Nasional Pasca Pandemi
Authors: Faiza Nurlaili Adkhi Rizfa
Published: March 2024

The need for large funds for National Economic Recovery after the Covid-19 pandemic requires various low-cost, high-efficiency, and sustainable instruments. This study aims to analyze the potential of Cash Waqf Linked Sukuk (CWLS) as an instrument for National Economic Recovery in Indonesia. Collaborating on Sukuk as an instrument that can mobilize funds and waqf with its unique nature can generate income and finance productive activities where returns or profits will be stored for future funding. This study uses an exploratory qualitative approach by reviewing and analyzing facts, expert opinions, theories, and previous research on CWLS and its development potential. This study found that the CWLS collaboration model can be an alternative to sustainable Islamic financial instruments in Indonesia and has the potential as an instrument to obtain cheap and easy funds to accelerate post-pandemic national economic recovery. This instrument is very suitable because it has high flexibility, appeals to the Muslim philanthropic middle class, and is sustainable alms from waqf to be distributed to beneficiaries.
SCIENTIFIC AND PRACTICAL CONFERENCE “TO THE 100TH ANNIVERSARY OF NORTHERN AGRICULTURE”, DEDICATED TO THE CENTENNIAL OF THE POLAR EXPERIMENT STATION OF VIR
Authors:   N.I. Vavilov All-Russian Institute of Plant Genetic Resources, KHLESTKINA E.K. , UKHATOVA YU.V. ,   N.I. Vavilov All-Russian Institute of Plant Genetic Resources, SOKOLOVA E.A. ,   N.I. Vavilov All-Russian Institute of Plant Genetic Resources
Published: March 2024

The program and conference materials of the Scientific and Practical Conference “To the 100th Anniversary of Northern Agriculture”, dedicated to the Centennial of the Polar Experiment Station of VIR, are published. The Conference was held in Apatity, Murmansk Province, on August 10–11, 2023 (hereinafter referred to as the Event/Conference). Promoting the ideas of the “northering” of crop cultivation and employing the modern agrobiological and genetic technologies, VIR presents the results of the century-long activities of its scientific subdivisions in the aforesaid sphere, starting from the 1920s. In 1923, following Nikolay Vavilov's initiative, Khibiny Base Station was founded, which later became the Polar Division of VIR (1931–1935). In February 1935, this subdivision of the Institute was renamed the Polar Experiment Station of VIR. Two sections were organized within the framework of the Event: “Plant Genetic Resources and Breeding”, and “Modern Agrobiotechnologies for the Development of Northern Agriculture”. The Conference was attended by leading scientists and experts from the major research and breeding centers of the northern regions of Russia. The Conference was financially supported by Helicon Company LLC. Addressed to a wide range of experts in the field of the work with bioresource collections, including students, postgraduate students and young scientists under the age of 39. Conference materials are published as submitted. The authors (coauthors) of the published abstracts are responsible for the impartiality and reliability of the data presented.
Stress management system development as a condition for human evolution in response to emerging threats
Authors: Zihan Li
Published: March 2024

The focus of this article is on how contemporary youth groups are experiencing the stress associated with the transition to distance learning due to the COVID-19 pandemic, quarantine measures, and the demands of social isolation. Considering the world historical experience of building the theory and system of stress management, some organizational measures of improvement of higher education institutions' activity as the main resource of overcoming stress condition of students and study groups are offered.
Historical position and ambition of Chinese table tennis in the world sports
Authors: Guorong Ou
Published: March 2024

Within the framework of this article, we will analyze more clearly the position of China's table tennis in world sports and how China's ambition to dominate this sport will be.
Overview of the development of China’s sports fitness and leisure industry from the perspective of “Healthy China”
Authors: Nannan Zhang
Published: March 2024

The rapid development of Chinese society has provided the masses for conditions, that have contributed to the development of the sports, fitness and leisure industries. The innovation of the governance model is carefully analyzed, and finally, relevant countermeasures and suggestions are put forward in the long run. The paper will clearly put forward “new tasks for promoting the construction of a healthy China" and officially upgraded “Healthy China" to a one policy and in June 2016, the State Council issued the “National Fitness Plan" (2016-2020).
A study on cultural interaction and ethical construction in the translation of national cultural classics
Authors: Chen Chen
Published: March 2024

This article studies the cultural interaction and ethical construction in the foreign translation of national cultural classics. On the basis of combing the existing research on translation ethics, a new overall framework of translation ethics research will be constructed with the help of related concepts and research methods of ethics, with a view to promoting the in-depth development of translation ethics research.
Impacts of Inequality and Poverty on COVID-19 in Indonesia
Authors: Setyowati Nur , Amalina Nur Sabila Soraya
Published: March 2024

Purpose: The purpose of this study was to investigate how inequality and poverty contributed to COVID-19 cases and mortality using panel regression. Design/methodology/approach: The data cover semiannual observations during the COVID-19 period spanning from 2019 to 2022 in 34 provinces in Indonesia. This study split samples into high- and low-inequality provinces and apply the fixed effect panel regression on COVID-19 cases and mortality. Findings: The results suggest that the effect of inequality on the spread of COVID-19 was greater in low-inequality provinces. Whereas poverty and unemployment positively influenced the total cases in high-inequality provinces. The variable of unmet health facility had a negative impact on COVID-19 cases, but education positively influenced COVID-19 cases. There were identical results for all the variables when looking at COVID-19 mortality, except for unemployment. Unemployment showed a positively significant influence on COVID-19 mortalities in all samples, whereas it only influenced COVID-19 cases in high-inequality provinces. Originality/value: the most crucial outcome of this study concerns the distinctive implications for different types of inequality and their impact on COVID-19.
PENGARUH PENGGUNAAN TEKNOLOGI DALAM PEMASARAN PARIWISATA SELAMA MASA PANDEMI COVID-19 DI INDONESIA
Authors: Iswanto Dedy , Amol Febriyanti , Sangadji Suwandi S. , Halawa Forman
Published: March 2024

Technology has an important role to play in advancing sustainable tourism destinations. The purpose of this study is to determine the effect of technology on tourism marketing during the COVID-19 pandemic in Indonesia which can be used as material for decisions by tourism practitioners and is useful for researchers in the tourism sector. This research was conducted using a systematic literature review (SLR) of 2 reference articles from Scopus. The results show no antecedents from tourism marketing that were studied during the COVID-19 pandemic. In addition, there is a positive influence of technology on tourism marketing during the COVID-19 pandemic. There are several consequences of technology adoption in tourism marketing: trust, visitors' interest, and tourist behavior. However, this research still has limitations on the reference sources used (only Scopus), so it is recommended to add a database for future researchers and other research problem formulations.
Estimating the Energy of Dissipative Neural Systems
Authors: Fagerholm Erik , Leech Robert , Turkheimer Federico , Scott Gregory , Brázdil Milan
Published: March 2024

There is, at present, a lack of consensus regarding precisely what is meant by the term 'energy' across the sub-disciplines of neuroscience. Definitions range from deficits in the rate of glucose metabolism in consciousness research to regional changes in neuronal activity in cognitive neuroscience. In computational neuroscience virtually all models define the energy of neuronal regions as a quantity that is in a continual process of dissipation to its surroundings. This, however, is at odds with the definition of energy used across all sub- disciplines of physics: a quantity that does not change as a dynamical system evolves in time. Here, we bridge this gap between the dissipative models used in computational neuroscience and the energy-conserving models of physics using a mathematical technique first proposed in the context of fluid dynamics. We go on to derive an expression for the energy of the linear time-invariant (LTI) state space equation. We then use resting-state fMRI data obtained from the human connectome project to show that LTI energy is associated with glucose uptake metabolism. Our hope is that this work paves the way for an increased understanding of energy in the brain, from both a theoretical as well as an experimental perspective.
Linking Work Values to Occupational Information: Development and Psychometric Evaluation of the Occupational Values Inventory (OVI)
Authors: heimpel nicholas francesco , Hoff Kevin , Liu Zihan , Chu Chu , Oswald Frederick Louis , Rounds James
Published: March 2024

We developed the Occupational Values Inventory (OVI), a 30-item measure that expands the content coverage of work values by linking into a broad range of O*NET occupational descriptors, including Work Activities and Work Contexts, along with salary data from the Bureau of Labor Statistics. The OVI assesses 11 values—Interpersonal, Outdoor, Physical, Leadership, Salary, Prestige, Variety, Interest, Work Hours, Knowledge Utilization, and Autonomy—providing an updated and refined coverage of values relevant to people and occupations in the modern labor market. Study 1 (N = 768) developed and refined the OVI’s scales using conceptual and psychometric criteria, also reporting initial evidence in support of reliability and validity. Studies 2 and 3 provide further evidence for the reliability and criterion-related validity of the OVI based on longitudinal samples of recent graduates from universities (N = 816) and community colleges (N = 560). OVI scales and profiles were associated with occupational aspirations and choice; profile congruence with O*NET occupations was associated with subjective career outcomes including career choice satisfaction. Overall, the OVI provides a short, reliable, and refined measure of work values relevant to a broad range of workers with a range of potential uses in research and applied settings.
Analyzing Arabia and Japan's Energy Security Activities within Saudi-Japan 2030 vision
Authors: Riansyah Raden Bagus Andreas , Juned Mansur
Published: March 2024

Bilateral cooperation between Saudi Arabia and Japan takes various forms. As an illustration, the two countries have demonstrated their long-term commitment to working together in multiple fields, which ultimately sparked the Saudi-Japan Vision 2030. In this context, collaboration in the energy security sector is essential, especially with Saudi Arabia, which wishes to switch from fossil to renewable energy. This study will review further the implementation of Saudi Arabia-Japan bilateral cooperation through Saudi-Japan Vision 2030 in energy security. Next, the research will explore the various projects, activities, and types of collaboration that have been undertaken between the two countries under the vision they share.
Assessing the performance of microcomb based photonic sig-nal processors with different microwave signal waveforms
Authors: Moss David
Published: March 2024

Microwave photonic (MWP) signal processors, which process microwave signals based on photonic technologies, bring advantages intrinsic to photonics such as low loss, large processing bandwidth, and strong immunity to electromagnetic interference. Optical microcombs can offer a large number of wavelength channels and compact device footprints, which make them powerful multi-wavelength sources for MWP signal processors to realize a variety of processing functions. In this paper, we experimentally demonstrate the capability of microcomb-based MWP signal proces-sors to handle diverse input signal waveforms. In addition, we quantify the processing accuracy for different input signal waveforms, including Gaussian, triangle, parabolic, super Gaussian, and nearly square waveforms. Finally, we analyze the factors contributing to the difference in the pro-cessing accuracy among the different input waveforms, and our theoretical analysis well elucidates the experimental results. These results provide a guidance for microcomb-based MWP signal pro-cessors when processing microwave signals of various waveforms.
Approximating eye gaze with head pose in a virtual reality microteaching scenario for pre-service teachers
Authors: Moser Ivan , Hlosta Martin , Bergamin Per Bernard , Ramnarain Umesh , Van der Westhuizen Christo , Penn Mafor , Mdlalose Noluthando , Pila Koketso , Ogegbo Ayodele
Published: March 2024

Although immersive virtual reality (IVR) technology is becoming increasingly accessible, head-mounted displays with eye tracking capability are more costly and therefore rarely used in educational settings outside of research. This is unfortunate, since combining IVR with eye tracking can reveal crucial information about the learners' behavior and cognitive processes. To overcome this issue, we investigated whether the positional tracking of learners during a short teaching exercise in IVR (i.e., microteaching) may predict the actual fixation on a given set of classroom objects. We analyzed the positional data of pre-service teachers from 23 microlessons by means of a random forest and compared it to two baseline models. The algorithm was able to predict the correct eye fixation with an F1-score of .8637, an improvement of .5770 over inferring eye fixations based on the forward direction of the IVR headset (head gaze). The head gaze itself was a .1754 improvement compared to predicting the most frequent class (i.e., Floor). Our results indicate that the positional tracking data can successfully approximate eye gaze in an IVR teaching scenario, making it a promising candidate for investigating the pre-service teachers' ability to direct students' and their own attentional focus during a lesson.
Beyond Individual Stress Reduction - The Mindful Students Program Benefits University Students and Their Environment
Authors: Blanke Elisabeth Sophie , Krämer Susanne , Loy Laura S. , Müller-Liebmann Christian , Nestler Steffen , Kunzmann Ute
Published: March 2024

Objectives: While mindfulness-based interventions (MBIs) for university students usually aim at stress prevention and reduction, MBIs have the potential to also have societal benefits. In the present study, we introduce an MBI, the Mindful Students Program (MSP), which aims at developing an ethical perspective of interdependence between the individual and its social and ecological environment. We hypothesized that the MSP fosters not only mindfulness and individual stress reduction, but also prosociality and pro-environmental behavior as primary outcomes.Methods: The MSP was delivered to university students as an elective course within their curriculum. Across three semesters, university students (N = 203) were surveyed in a pre-post design, in comparison to two control groups (N = 302), one with an interest in mindfulness, waiting for an online intervention (referred to as waitlist) and a passive control group without any specific interest in mindfulness (referred to as passive). Acceptance and adverse effects were also monitored.Results: In comparison to the control groups, students receiving the MSP experienced decreases in stress, and increases in mindfulness and pro-environmental behavior. Contrary to expectations, levels of prosociality, which were already high at the beginning of the intervention in the MSP group, did not change. Students were highly satisfied with the MSP, even when adverse events occurred, which were, however, mostly mild in nature.Conclusions: The MSP appears to be an effective and safe means of helping individuals to improve their own well-being within the university context, whilst also fostering pro-environmental action which may benefit society at large.
Measuring and understanding parties' anti-elite strategies
Authors: Licht Hauke , Abou-Chadi Tarik , Barbera Pablo , Hua Whitney
Published: March 2024

This article presents a new measure and analysis of parties' anti-elite appeals. In order to measure parties' anti-elite appeals we apply crowd-sourced coding, supervised machine learning, and novel cross-lingual transfer learning techniques to parties' Twitter posts.Our dataset records quarterly estimates of parties' anti-elite strategies for 20 countries between 2008 and 2021. Based on these indicators, we analyze whether parties' anti-elite rhetoric reflects the potential costs and benefits of this electoral strategy.We find that mainstream parties use anti-elite rhetoric less frequently when they are more likely to be included in the next governing coalition. When challenger parties do well in the polls they become more anti-elitist. Our article not only contributes to the literature on democratic competition by introducing and applying a new measure of anti-elite strategies, but also outlines a novel, modular and scalable procedure to measure party appeals using social media posts.
Temperamental underpinnings of borderline personality disorder and its facets
Authors: Brud Piotr Paweł , Cieciuch Jan
Published: March 2024

Temperament is claimed to be the basis for personality; therefore, discovering the temperamental underpinnings of borderline personality disorder and its facets is crucial for understanding this personality disorder. In this article, we explore these underpinnings by using a new model of temperament, based on the Regulative Theory of Temperament, the Big Two of temperament, and the Circumplex of Personality Metatraits. Two studies were conducted on adults – the first was in a general population sample (N = 315) and the second was in a clinical sample (N = 113) in people with a diagnosis of borderline personality disorder. The following measurements were used: The Screening Instrument for Borderline Personality Disorder (SI-Bord), the Five‑Factor Borderline Inventory – Short Form (FFBI-SF), and the Temperament Metadimensions Questionnaire (TMQ). General borderline was explained by Reactivity (high Sensitivity) and Activity (high Dynamism). At the facet level, the Borderline Internalizing Facet was mainly explained by Reactivity (high Sensitivity), while the Borderline Externalizing Facet was explained by Activity (high Dynamism) in addition to Reactivity (high Sensitivity). The results of our study revealed specific temperamental underpinnings of borderline and its facets. Reactivity underlies all borderline facets, while Activity differentiates between the Borderline Externalizing Facet and Borderline Internalizing Facet.
Recursive K-index and iterative H-index
Authors: Knar Eldar
Published: March 2024

An aggregated recursive K-index (Kazakhstan Science Index) is proposed as the new scientometric indicator and the “Kazakhstan Science Citation Index”.In particular, it is proposed to switch from a pure strategy for assessing the quality and effectiveness of R&D using the H-index (Hirsch index) to a mixed strategy (in the context of publication activity as a combination of cooperative and noncooperative games) using the K-index on subnational and H-index on international or differentiated levels. In the context of a hybrid strategy of the scientist's payoff functions. This transition is correct and in demand for a number of national scientific systems with limited financial, material, infrastructural and linguistic (in terms of the English language) potential. Scientific systems with highly developed indigenous (autochthonous) characteristics are also needed in some scientific areas.Some results on the counterproductivity of the Hirsch index for the Kazakh scientific system are presented. In particular, a significant increase in the H-index of Kazakh scientists was noted as the degree of scientific localization (national participation) decreased and as the degree of “foreign content” in science-intensive content increased within the framework of international joint collaboration. The ability of the delocalization of local scientific content in joint publications to increase the H-index of Kazakh scientists was discovered. This effect is interpreted and confirmed by the positive and negative correlation coefficients between the Hirsch indices and the form and degree of participation (role functions) of Kazakh scientists in joint publications.
Unified theory of emotion nature requires naturalistic multimodal emotion data
Authors: Angkasirisan Thanakorn
Published: March 2024

There is the hundred-year emotion war, where one group of theorists believes that emotions are innate and experienced and expressed as discrete categories, and the other believes emotions are constructed with experiences varying between cultures and contexts. Modern approaches, utilising machine learning and big data, promise to overcome the traditionally contrasting perspectives on emotion. Emotion research should integrate physiological, experiential, and behavioural data to gain a comprehensive insight into emotion’s high dimensional characteristics and potentially establish multimodal emotion coherence. This novel methodological framework offers a direction for a significant advancement in emotion science, aiming for a holistic understanding of human emotions.