bluuebunny/crossref_metadata_2025 huggingface dataset:
Penggunaan Beberapa Jenis Sistem Hidroponik dan Sumber Nutrisi Yang Berbeda Pada Pertumbuhan dan Produksi Tanaman Sawi Pagoda (Brassica narinosa)
Authors: Silitonga Yusnita Wahyuni , Harahap Samsinar -
Published: August 2024

Penelitian ini bertujuan untuk menguji pertumbuhan dan produksi tanaman sawi pagoda (Brassica narinosa) dengan beberapa sistem hidroponik dan penambahan nutrisi dari sumber hara yang berbeda. Penelitian  dilakukan di kebun percobaan dalam rumah kasa. Fakultas pertanian Universitas Muhammadiyah Tapanuli Selatan, Kelurahan Batang Ayumi Julu, Kecamatan Padangsidimpuan Utara Kota Padangsidimpuan Provinsi Sumatera Utara, yang berada pada ketinggian + 450 m pdl. Penelitian ini dimulai pada bulan Januari sampai dengan Maret 2024. Rancangan percobaan yang digunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK) dengan dua faktor, Faktor 1= jenis hidroponik dan Faktor 2 = komposisi nutrisi.Berdasarkan penelitian dilapangan diperoleh hasil, ada pengaruh sistem hidroponik dan sumber nutrisi yang berbeda terhadap tinggi tanaman. Perlakuan yang paling ideal atas interaksi sistem hidroponik dengan komposisinutrsisi terhadap tinggi tanaman adalah H3K3 dengan perlakuan model hidroponik tower dengan komposisinutrisi AB Mix+Air Kolam ikan lele ikan lele ikan lele  dengan tinggi rata-rata yaitu 15,66 cm. Kemudian, ada pengaruh sistem hidroponik dan komposisinutrisi yang berbeda terhadap jumlah daun. Perlakuan yang paling ideal atas interaksi sistem hidroponik dengan komposisinutrsisi terhadap tinggi tanaman adalah H3K3 dengan perlakuan model hidroponik tower dengan komposisinutrisi AB mix +Air Kolam ikan lele dengan tinggi rata-rata yaitu 15,44 helai daun.Serta ada pengaruh sistem hidroponik dan komposisinutrisi yang berbeda terhadap berat tanaman. Perlakuan yang paling ideal atas interaksi sistem hidroponik dengan komposisinutrsisi terhadap tinggi tanaman adalah H2K3 dengan perlakuan model hidroponik wick dengan komposisinutrisi AB mix +Air Kolam ikan lele dengan tinggi rata-rata yaitu 18,29 gram.
PENGARUH PEMBERIAN PUPUK ORGANIK PLANMATE DAN BEBERAPA VARIETAS TERHADAP PERTUMBUHAN DAN PRODUKSI TANAMAN KACANG PANJANG (Vigna sinensis L)
Authors: Mamud Amir -
Published: August 2024

Tujuan penelitian ini adalah untuk mengetahui Pengaruh Pemberian Pupuk Organik planmate dan Beberapa Varietas Terhadap Pertumbuhan dan Produksi Tanaman Kacang Panjang (Vigna sinensis L). Penelitian ini dilaksanakan pada bulan juni  - Agustus 2023. Rancangan yang digunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK) faktorial dengan dua factor yaitu : Faktor pemberian pupuk Organik Planmate disimbolkan (N) terdiri dari 4 taraf yaitu : N0 = Kontrol (tanpa pupuk), N1 = 1,5 cc /liter air, N2 = 2 cc /liter air, N3 = 2,5 cc/liter air. Faktor beberapa varietas disimbolkan (V) Terdiri Dari 3 Taraf yaitu : V1 = Varietas Bintang Asia, V2 = Varietas Matahari, V3 = Varietas Hijau Super. Dari hasil analisa secara statistik pada perlakuan pupuk organik planmate tidak menunjukan pengaruh yang nyata terhadap tinggi tanaman pada umur 2, 3 dan 4 minggu setelah tanam jumlah cabang umur 2, 3, dan 4 minggu setelah tanam, berat polong per sampel dan berat polong per plot pada pengamatan panen 1, tetapi berpengaruh nyata pada pengamatan panen 2 dan 3. Dari hasil analisa secara statistik pada perlakuan beberapa varietas tidak menunjukan pengaruh yang nyata terhadap tinggi tanaman pada umur 2, 3 dan 4   minggu setelah tanam, jumlah cabang umur 2, 3, dan 4 minggu setelah tanam, berat polong per sampel pada pengamatan panen 1 dan 2, tetapi berpengaruh nyata pada panen 3 berat polong per plot. Dari hasil analisa secara statistik kedua perlakuan tidak menunjukan pengaruh yang nyata terhadap semua parameter yang diamati. Namun hasil terbaik dalam penelitian ini terdapat pada perlakuan pupuk organik planmate yaitu pada berat polong per plot.
Respon Karakter Agronomis Tanaman Sorgum (Sorgum bicolor L) terhadap Beberapa Jenis Pupuk Kandang
Authors: Silitonga Yusnita Wahyuni
Published: August 2024

Sorgum merupakan salah satu tanaman penghasil karbohidrat dan mempunyai potensi besar untuk dikembangkan di Indonesia. Pupuk organik merupakan salah satu pupuk alternatif yang dapat dimanfaatkan untuk menekan ketergantungan terhadap pupuk kimia sintetik. Salah satu jenis pupuk organik adalah pupuk yang berasal dari kotoran hewan (pupuk kandang) seperti pupuk kandang sapi, ayam, kambing dan lainnya yang berasal dari kotoran hewan. Tujuan dari penelitian ini adalah untuk melihat pupuk kandang terbaik terhadap pertumbuhan dan produksi tanaman sorgum. Metode penelitian ini adalah eksperimen dengan menggunakan Rancangan Acak Kelompok. Data dianalisis menggunakan ANOVA kemudian uji lanjut Duncan 5%. Parameter yang digunakan adalah tinggi tanaman, jumlah daun, diameter batang, umur berbunga, umur panen, bobot 1000 biji, bobot biji per tanaman, bobot biji per plot, panjang malai. Perlakuan beberapa pupuk kandang memberikan pengaruh terhadap parameter pengamatan, dan perlakuan terbaik terlihat pada perlakuan pupuk kandang ayam dan kambing.
PENGARUH SUHU AIR DAN LAMA PERENDAMAN TERHADAP PERKECAMBAHAN BIJI BALAKKA (Phyllanthus emblica L)
Authors: Harahap Darmadi Erwin
Published: August 2024

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana suhu air, lama perendaman, dan interaksi keduanya mempengaruhi perkecambahan biji balakka. Metode penelitian yang digunakan adalah Rancangan Acak Lengkap (RAL) Faktorial : Faktor 1 dengan perlakuan suhu air (S) terdiri dari 3 taraf perlakuan, yaitu :S1=  Perendaman dengan suhu  300C ; S2 = Perendaman dengan suhu 600C dan  S3 = perendaman dengan suhu 900C. Sedangkan faktor ke 2 perlakuan lama perendaman (L) dengan 3 taraf : L1 = 10 menit ; L2 = 20 menit dan L3 = 30 menit. Hasil penelitian menunjukkan bahwa perlakuan Daya Kecambah (%) , Panjang plumula (cm) dan panjang radikula (cm) tidak berbeda nyata terhadap perkecambahan biji balakka
RESPON PERTUMBUHAN VEGETATIF TANAMAN KAKAO (Theobroma cacao L) DENGAN PEMBERIAN PUPUK ORGANIK POS DAN PUPUK GANDASIL
Authors: Siregar Elda Sari , Nasution Fery Endang
Published: August 2024

ABSTRAK Pada Penelitian ini menggunakan metode Rancangan Acak Kelompok (RAK) faktorial dengan dua faktor yaitu pupuk Organik POS dan pupuk gandasil. Pada parameter tinggi tanaman umur 4, 6, 8, 10, 12 mst, parameter diameter batang pada umur 4, 6, 10 dan 12 mst, parameter jumlah daun pada umur 4, 6, 8, dan 10 mst, dan para meter luas daun pada umur 4, 8, 10 dan 12 mst menunjukkan adanya pengaruh yang nyata terhadap pemberian pupuk organik tetapi, pada parameter diameter batang saat umur tanaman 8 mst dan parameter luas daun pada umur 6 mst tidak menunjukkan pengaruh yang nyata. Pada parameter tinggi tanaman umur 4, 6, 8, 10, 12 mst, parameter diameter batang pada umur 4 dan 6 mst, parameter jumlah daun pada umur 6 dan 8 mst, dan parameter luas daun pada umur 8, 10 dan 12 mst menunjukkan adanya pengaruh yang nyata terhadap pemberian pupuk gandasil, tetapi pada pengamatan diameter batang pada umur 8, 10 dan 12 mst, pengamatan di jumlah daun di umur 4 juga 10 mst, pengamatan luas daun pada umur 4 dan 6 mst tidak menunjukkan pengaruh yang nyata dengan pemberian Gandasil. Tidak berpengaruh nyata terhadap interaksi pemberian Pupuk Organik dan pupuk gandasil terhadap parameter tinggi tanaman, diameter batang, jumlah daun dan luas daun pada umur 4, 6, dan 8, tetapi pada pengamatan luas daun di umur 10 dan 12 mst berpengaruh nyata untuk interaksi kedua pupuk tersebut. Berdasarkan hasil penelitian ini bahwa pemberian pupuk organik POS dalam dosis 150 gr/polybag dan pemberian pupuk gandasil dalam dosis 6 gr/liter air memberikan hasil yang terbaik terhadap pertumbuhan vegetatif tanaman Kakao
The Role of Mesenchymal Stem/Stromal Cells and Their Extracellular Vesicles in Rheumatoid Arthritis
Authors: Abaszadeh Amir , Salehi Oveis , Badali Ahmadreza , Javanmardi Dorsa , Sarlak Alireza , Lotfalian Azam , Poudineh Maryam
Published: August 2024

There is presently no cure for the chronic inflammatory disease rheumatoid arthritis (RA), which affects the joints and other organs. Mesenchymal stem/stromal cells (MSCs) are adult stem cells that are widely studied in inflammatory diseases. Several studies have shown the therapeutic effects of MSCs in preclinical and clinical RA. However, there are a few concerns regarding the use of MSCs, such as immune rejection and malignancy. Since MSCs exert their potential effects in a paracrine manner, more attention has been paid to their extracellular vesicles (MSC-EVs). In the current study, we reviewed the application of MSCs and their EVs in RA. A better understanding of the mechanisms driving MSC and MSC-EVs in RA offers insight into possible treatment options for RA.
Diagnosis and Treatment Based on Functional Movement Impairment: A New Model of Functional Restoration Directed to Correction of Pathoanatomic and Pathophysiology of Tissues-Part I
Authors: Shahbazi Majid , Rafsanjani DehQazi Hossein
Published: August 2024

One of the most prevalent diseases in humans is musculoskeletal dysfunction. The source of these problems is usually multifactorial, including mechanical, psychological, and chemical. A specific diagnosis is rarely achieved for most musculoskeletal disorders, especially chronic conditions. This can be one of the reasons for the ineffectiveness of the various treatments offered. Various models have been proposed to address this problem to make more accurate diagnoses and effective treatments. Each of these models has its limitations. It seems that the previous models had limited information, such as the type of damaged tissue, the stage of tissue repair, the functional aspect of the disorder, other parts of the movement chain disorder, psychological features, and a lack of correlation between medical diagnosis and physiotherapy diagnosis. In the present study, an attempt is made to provide a new and more comprehensive model by considering the limitations of other models. In the first step, the therapist or physician identifies the biomechanical source of the disorder. The patient’s functional movement impairments are identified, and a Neuro-Musculo-Skeletal disorder related to functional movement impairment is assessed. Finally, to label the patient’s problem, medical (Patho-Anatomical Model) and physical therapy (Movement System Classification Models) views are considered. Therefore, the medical diagnosis of the patient is expressed along with the joints that play a role in aggravating the patient’s symptoms with movement. One case study is provided at the end to clarify the method of diagnosis. Future research is necessary to improve the validity of the methodology.
Long-Term Outcomes and Survival Rates of Patients Undergoing Biopsy Vs. Maximum Safe Resection for Thalamic Lesions: A Short Review on Current Evidence
Authors: Jangholi Ehsan , Anjomshoaa Hadi , Malek Mohammadi Parvin , Rostambeygi Parisa , Halili Afsaneh , Rahimi Mohammad , Aeinfar Kamkar
Published: August 2024

The thalamic lesion is one of the most challenging tumors with significant mortality and morbidities. Current literature highlights the importance of individualized treatment strategies tailored to the specific characteristics of the lesion and the patient. In terms of efficacy, studies have demonstrated that maximal safe resection (MSR) of thalamic lesions can lead to better tumor control, prolonged progression-free survival, and improved overall survival rates compared to biopsy alone. However, the feasibility of achieving MSR is highly dependent on the location, size, and histology of the lesion, as well as the patient's functional status and overall health. Also, surgical interventions in the thalamus carry inherent risks of neurological deficits, including sensory, motor, and cognitive impairments, depending on the extent of surgical resection and proximity to eloquent neural structures. On the other hand, biopsy remains a valuable diagnostic tool for obtaining tissue samples and establishing a definitive histological diagnosis in cases where MSR is not feasible or poses a high risk of neurological complications. Indeed, biopsy is preferred in patients with advanced age, significant comorbidities, or lesions located in eloquent regions of the thalamus where aggressive surgical resection may result in considerable morbidity. Quality of life (QoL) outcomes, including functional status, symptom burden, and overall well-being, are important endpoints in evaluating the impact of treatment approaches for thalamic lesions on patients' daily activities. While MSR may offer potential long-term benefits in terms of tumor control and survival outcomes, it may also be associated with a higher risk of neurological deficits and functional impairments that can impact QoL postoperatively. Conversely, biopsy may involve less invasive procedures and shorter recovery times, resulting in better preserved functional status and improved QoL in selected patient populations.
Value Added Tax on Financial Services in the EU: The Complete Story
Authors: Antonov Lyubomir
Published: August 2024

The paper provides an extensive overview of the VAT exemption of financial services in the EU. The topic is surrounded by conceptual and practical challenges. The main issues are presented in a retrospective plan. They have been clearly defined and discussed since the very inception of the EU VAT system. The difficulties this tax regime is faced with today reveal the logical sequence that can be traced as far back as the 1970s. In its first part, the paper looks at the topic from a historical perspective, exploring the inclusion of financial services within the scope of the first VAT rules. Further insight is subsequently provided on the application of the VAT exemption over the past decades until the present-day rules. At its core, the text relies mostly upon the CJEU case law. Capital issues for VAT fiscal neutrality are also given careful consideration. This is the major concern inspiring the Commission’s attempts and proposals for VAT reforms. After a concise examination of the efforts to revise the legislation, the paper focuses on the most recent developments in the financial industry, which is a major stakeholder concerned by the recent aspirations of Brussels.
BENTUK DAN PROSES PENCIPTAAN KARYA TARI ABHIMANTRA PADA KOMPETISI FESTIVAL KESENIAN INDONESIA 2023 DENPASAR BALI
Authors: Anastasya Kusuma Wardani  , Soemaryatmi Soemaryatmi
Published: August 2024

Penelitian bertujuan menjelaskan secara analitik tentang sebuah proses penciptaan karya tari dalam konteks kompetisi atau perlombaan FKI 2023 yang membuka peluang pada mahasiswa terbaik di Institut perguruaan tinggi seni, untuk tampil sebagai juara. Melihat fakta-fakta proses penciptaan karya tari Abhimantra yang diciptakan dalam konteks perlombaan ini, menarik untuk dibahas secara ilmiah karena membuka wacana untuk memahami bentuk karya dan proses penciptaannya dalam konteks perlombaan, yang karakternya selalu berada dalam tekanan psikologis untuk menang, mewakili kelompok atau institusi, dan kreatif dalam ruang sempit aturan-aturan lomba. Rumusan permasalahan pada tulisan ini adalah mempertanyakan 1) bentuk Karya Tari Abhimantra dan 2) proses penciptaan Karya Tari Abhimantra. Metode penelitian artikel yang digunakan adalah penelitian kualitatif dengan penggalian data pengamatan partisipatif karena penulis adalah penari dalam karya Abhimantra. Penelitian ini menggunakan teori analisis Sumandiyo Hadi tentang bentuk dan proses penciptaan karya tari dan teori analisis Ahimsa Putra tentang teks dan konteks karya seni. Melalui penelitian ini disimpulkan bahwa 1) Karya tari Abhimantra adalah karya tari bentuk duet atau pasangan yang menggunakan konsep garap tari surealis bersumber dari pengembangan vokabuler Gaya Surakarta, ekplorasi gerak-gerak volume besar, gerak ekstrim yang beresiko, dan ekplorasi unsur pendukung koreografi seperti tata busana, rias, tata cahaya, serta musik, 2) penciptaan karya tari ini tidak bisa leluasa karena harus mengikuti Juknis lomba, dan 3) secara psikologis penciptaan tari ini di bawah tekanan keinginan untuk memenangkan perlombaan dan 4) karya tari Abhimantra koreografi yang khas dalam konteks kepentingan perlombaan. Penulisan artikel ilmiah ini memandang bahwa, pada proses penciptaan karya tari Abhimantra adalah kreativitas yang harus mencurahkan lebih banyak energi kreatif agar mampu mewujudkan karya tari yang berhasil dalam konteks perlombaan.
Kata kunci: Karya Tari; Kompetisi; Bentuk; Proses Penciptaan; Teks dan Konteks.
Proses Penciptaan Tari Belanger di Sanggar Raden Kuning Ogan Ilir
Authors: Sari Desi Puspita , Kurniawan Irfan
Published: August 2024

Tari Belanger merupakan karya tari kreasi baru yang mengangkat cerita tradisi nenek moyang terdahulu yang ada di Desa Seri Tanjung, yang menceritakan proses pemandian anak-anak perempuan yang beranjak remaja untuk menghindari masalah ataupun tolak balak. Peneliti melakukan wawancara terhadap koreografer tari Belanger yaitu Ana Nurkadina. Manfaat peneliti ini untuk mengenalkan dan melesetarikan tradisi kesenian yang hampir hilang yang berada di lingkungan sekitar desa Seri Tanjung. Bagi peneliti sejenis supaya bisa menjadi referensi penelitian. Penelitian ini menggunakan metode kualitatif, teknik pengambilan dan pengumpulan data menggunakan teknik observasi, wawancara, dan dokumentasi. Hasil dari penelitian ini tari Belanger merupakan Proses penciptaan tari Belanger menggunakan metode konstruksi I dan II menurut teori Jacqueline Smith.
Kata Kunci : Penciptaan; Tari Belanger; Sanggar Raden Kuning.
BENTUK PENYAJIAN TEATER LEGENDA BUKIT PENDAPE DI FESTIVAL SRIWIJAYA
Authors: Ramadina Dianita Puteri , NAD Nugroho , Hasan Hasan
Published: August 2024

Penelitian ini adalah suatu kajian tekstual tentang Teater Legenda Bukit Pendape pada Tim Kesenian Kabupaten Musi Banyuasin. Adapun masalah dalam penelitian ini adalah Bagaimana Bentuk Penyajian Teater Legenda Bukit Pendape Oleh Tim Kesenian Kabupaten Musi Banyuasi di Festival Sriwijaya Palembang 2021, sedangkan tujuan penelitian ini adalah untuk mengetahui dan menjelaskan Bagaimana Bentuk Penyajian Teater Legenda Bukit Pendape Oleh Tim Kesenian Kabupaten Musi Banyuasi di Festival Sriwijaya Palembang 2021. Metode penelitian yang digunakan adalah metode kualitatif dengan teknik pengumpulan data Observasi, Wawancara, dan dokumentasi. Berdasarkan penelitian didapatkan hasil Bentuk Penyajian Teater Legenda Bukit Pendape yaitu meliputi : persiapan, latihan olah tubuh, olah vokal, pernapasan serta pendukung pertunjukan yang terdiri dari Tata Rias, Tata Busana, Tata Suara, Tata Cahaya, Properti, dan Tata Panggung.
Kata Kunci: Bentuk Penyajian; Teater Tradisional; Legenda Bukit Pendape.
THE CONCEPT OF AN INFORMATION SYSTEM FOR FORECASTING THE TEMPERATURE REGIME OF THE EARTH’S SURFACE BASED ON MACHINE LEARNING
Authors: PAVLOVA Olga , ALEKSEIKO Vitalii
Published: August 2024

The paper presents the concept of an information system for forecasting the temperature regime of the Earth’s surface using machine learning. Forecasting is based on historical data for a specific area. In order to increase the accuracy of forecasting results, an analysis of the features of climatic zones was carried out to identify patterns. A comparison of the dependence of the average monthly temperatures of the earth’s surface in countries depending on their location in climate zones was carried out.
The analysis of sources and scientific publications confirmed the relevance of the chosen research topic. Historical aspects of forecasting changes in climatic indicators are considered. Modern methods and approaches to temperature forecasting, their advantages and disadvantages are analyzed. An overview of the subject area was conducted and the regularities of temperature changes according to climate features were determined.
A comparison of temperature regimes for countries located in different climate zones was made. For clarity, graphs of temperature changes were plotted and average indicators were calculated for each climate zone.
The results of the study confirm the need to adjust the temperature forecast for certain areas, taking into account their location in a specific climate zone. The revealed regularities in the temperature regime of the countries indicate the need for an individual approach to forecasting and the use of such machine learning methods that are best adapted to the dependencies observed in the climate zone.
The architecture of the information system for forecasting future temperatures depending on the climatic features of the studied territories is proposed. A concept has been formed for further research to find more accurate and effective approaches to predicting climate parameters and achieving the goals of sustainable development.
ROBUSTNESS EVALUATION OF MACHINE LEARNING ALGORITHMS FOR NEUROCOMPUTER INTERFACE SOFTWARE USING DISTRIBUTED AND PARALLEL COMPUTING
Authors: BRYK Oleksandr , STEFANYSHYN Ivan , STEFANYSHYN Volodymyr , PASTUKH Oleh
Published: August 2024

This article highlights the field of information technology for brain-computer interaction, and the main goal is to use it to determine patterns of human brain activity using electroencephalography (EEG) data. During the execution of the article, machine learning methods were used, namely such classifiers as  Random Forest, Multi-Layer Perceptron (MLP), and Logistic Regression. The investigation begins with real-world experiments recording EEG signals during finger movement tasks, providing valuable insight into the complex dynamics of brain operation and interaction.
Utilizing 10-fold cross-validation, the performance of each classifier is rigorously evaluated across various metrics, including accuracy, f1_weighted та roc_auc_ovr_weighted. Through this process, the robustness and consistency of classifier performance are assessed, with dispersion values computed to gauge variability across iterations. The findings reveal nuanced differences among the classifiers, with MLP demonstrating the highest robustness, followed by Logistic Regression and Random Forest.
The main goal of the article was to find out the importance of such a classifier performance parameter as robustness. Software robustness is a key characteristic, especially in medical applications, where consistent and reliable performance of information technology is paramount. Neural interfaces offer many avenues for solving various limb problems, spinal cord injuries, and neurological diseases in humans. These devices contribute to improving the quality of life by minimizing these problems in people, which leads to increased mobility and functional capabilities of people. The article also emphasizes the potential associated with the transformation of neurointerface technologies in expanding human capabilities and revolutionizing human-machine interaction.
In conclusion, the research contributes to advancing the field of brain-computer interaction by leveraging machine learning algorithms to decode neural signals and uncover hidden patterns within EEG data. By identifying the most stable classifier, the study lays the groundwork for the development of robust neurointerface technologies with practical applications in healthcare, rehabilitation, and beyond. Through interdisciplinary collaboration and innovative methodologies, the journey towards unlocking the full potential of brain-computer interaction continues, promising new horizons in human augmentation and technological innovation.
MODEL OF PROCESS FOR ENSURING FAULT TOLERANCE IN INTERNET OF THINGS NETWORKS
Authors: NICHEPORUK Andrii , DARIYCHUK Oleksandr , DANCHUK Serhii
Published: August 2024

The paper presents a model for providing fault tolerance in the Internet of Things network, describes key concepts, entities and connections, and also defines the main stages and processes that are included in providing fault tolerance. This model is the basis of the functioning of the fault tolerance system. The concept of a fault tolerance system that integrates into existing Internet of Things networks is proposed. The concept of fault tolerance agents is introduced, which make up the basis of the fault tolerance system, and which communicate with each other to ensure the exchange of information about the occurrence of a fault. Two local fault tolerance mechanisms are proposed, which determine the functionality of the agents.
THE BEST STRATEGY FOR DEALING WITH BUSINESS CONFLICTS: STRATEGIC CHOICES IN DRAFTING CLAUSES IN ARBITRATION AGREEMENTS AND THE APPLICATION OF EXPEDITED PROCEDURES
Authors: Wiguna Adhi Gani , Ansari Teuku Syahrul , Astawa I Ketut , Setiady Tri
Published: August 2024

Arbitration or the root word in (Latin) ''arbitrare'' means "the process or method of deciding a dispute through an independent arbitrator or referee". This definition is one of them because legal experts have different opinions or views even though their opinions have the same meaning. Talking about arbitration or arbitration institutions, there has actually been and has been practiced throughout the centuries for the first time introduced by the Greek community before Christ. As for Indonesia, arbitration is known and recognized by citizens as an alternative to problem solving through non-litigation. Alternative dispute resolution, such as arbitration and mediation, is now a popular choice in resolving business conflicts. The method used to collect data is by conducting literature searches published in scientific research articles and journals. The literature search was conducted using several loaded search engines, such as Google Scholar, Pubmed, and Science Direct.  This method is an alternative that is considered more effective and efficient than going through the courts, because the process is faster, lower costs, and the resulting decisions are final and binding. The purpose of this study is how to choose a strategy in drafting clauses in the Arbitration agreement for dispute resolution
Racial Composition and Perceptions of Microaggressions: Implications for High School Counselors
Authors: Robinson Samantha , Perryman Kristi , Shoge Kendra
Published: August 2024

This study examined the impact racial composition of prior environment (specifically, high school and neighborhood environments) has on reported racial microaggression occurrence among self-identified minority college students in the Midwest. Participating students completed the Racial Microaggression Scale, a survey instrument whose primary domain is intended to assess the frequency of occurrence for racial microaggressions. Findings indicated that racial composition of high school and neighborhood environments has a statistically significant effect on reported racial microaggression occurrence. Additionally, findings indicated that microaggression themes of criminality and undesirability are particularly related to the racial composition of prior environment, with students from a majority minority background reporting incidents of criminality and undesirability themed racial microaggressions more frequently than their peers. Implications will be included for professional school counselors working with these students at the high school level.
Bending the Riemann Critical Strip to a Lunula: No Zeroes in 1/2 < Re(z) < 1
Authors: Fortunato Lorenzo
Published: August 2024

The critical strip of the Riemann \(\zeta(z)\) is transformed into a crescent-like lunula and the critical line into the unit circle by a conformal transformation. In the new extended complex plane, the argument principle is used to show that there are no zeroes outside of the unit circle, thus proving that there are no zeroes in the right half of the strip, \(1/2 < Re(z) < 1\).
Practical experience from USA, Europe and Qatar in building a learning environment to support start-ups and its applicability to Vietnam
Authors:   University of the Economics and Law, VNUHCM, Vietnam, Thanh Phùng Bình , Hong Nguyen Uyen ,   University of the Economics and Law, VNUHCM, Vietnam, Đức Phạm Chính ,   University of the Economics and Law, VNUHCM, Vietnam
Published: August 2024

Entrepreneurship education serves as a pivotal driver of economic advancement globally, acknowledged for its multifaceted contributions to fostering innovation, generating employment opportunities, and catalyzing overall economic growth trajectories. However, the landscape of entrepreneurship education exhibits notable diversity, characterized by varying approaches, policies, and support mechanisms across different countries and even within specific regions. Despite its recognized importance, scholarly inquiry into the nuanced implementation of entrepreneurship education in Vietnam remains relatively limited. Consequently, this research endeavors to address this gap by embarking on a comprehensive exploration and comparative analysis of entrepreneurship education policies, support systems, and resource allocation strategies across diverse national contexts. By drawing upon illuminating case studies from a spectrum of countries, each distinguished by its unique socio-cultural milieu, this study aims to distill best practices and glean valuable insights that can inform and enrich the development of entrepreneurship education initiatives in Vietnam. Through a meticulous and nuanced examination, the research endeavors to furnish policymakers, educators, and stakeholders in Vietnam with actionable recommendations aimed at bolstering the efficacy and impact of entrepreneurship education endeavors in the nation. In doing so, it seeks to cultivate a more conducive environment for entrepreneurial innovation and economic prosperity.
Formative measurement structure of consumer animosity: The case of Vietnamese consumers towards Chinese products
Authors:   An Giang University, VNU-HCM, Vietnam, Hung Dang Vu , Thành Nguyễn Long ,   Tra Vinh University, Vietnam, Thị Lê Thiên Hương ,   An Giang University, VNU-HCM, Vietnam
Published: August 2024

Research on animosity in Vietnamese consumer behavior has yet to be extensively conducted. Regarding measurement structure, consumer animosity is a latent construct with a formative structure. However, studies in Vietnam predominantly use a reflective structure, indicating a mismatch between the structure and theoretical definition. This study aims to examine the causal measurement structure of the concept of consumer animosity and test its influence on willingness to purchase. The study was conducted with a preliminary survey of 180 customers in August 2023, followed by a formal survey of 200 customers in September 2023. The results from the analysis of 174 valid survey responses met the requirements, confirming the appropriateness of the causal measurement structure for assessing the concept of consumer animosity. The study identified two dimensions consumer animosity dimensions: cultural and pandemic animosity. The results of the nomological validity test affirmed the inverse relationship between consumer animosity and willingness to purchase products from the target country, consistent with previous studies. Future research should utilize the causal measurement structure to assess consumer animosity comprehensively and accurately. Several implications can be drawn: (1) Chinese investors, businesses, and entrepreneurs should pay attention to the cultural behavior towards Vietnamese consumers, and (2) Vietnamese consumers may become less concerned about negative emotions as the consequences of the COVID-19 pandemic are resolved.
Personalized learning paths recommendation system with collaborative filtering and content-based approaches
Authors:   University of Economics and Law, Ho Chi Minh City, Vietnam, Duong Thanh Tran Phong ,   Vietnam National University, Ho Chi Minh City, Vietnam, Bao Vu Khang ,   University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam, Nhat Doan Minh ,   University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam, Truc Dang Quynh ,   University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam, Viet Dang Quang ,   University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam, Trung Ho Thanh ,   University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam
Published: August 2024

Recommender systems have undergone a transformative evolution, reshaping user interactions across diverse domains. Notably, the emphasis on personalized learning paths has grown significantly in education. This research paper delves into the performance evaluation of User-based Collaborative Filtering and Content-based recommendation techniques to develop innovative recommender systems explicitly tailored to Information Systems students. By integrating the primary dataset collection rooted within the Knowledge - Skill - Attitude framework for students in the Faculty of Information Systems at the University of Economics and Law, this study assesses how effectively these two separate models develop personalized recommendation systems. Furthermore, the empirical evaluation of two distinct models, the Collaborative Filtering and Content-Based approach, across key metrics such as Precision, Recall, and F1-Score, provides a comprehensive view of their effectiveness in generating a Recommendation System for the University of Economics and Law. Findings reveal that the Collaborative Filtering approach excels in Precision, achieving a perfect score. At the same time, the Content-based technique demonstrates superior recall capabilities, suggesting its potential to cater to diverse educational needs. This paper also highlights the transformative role of recommendation systems in higher education, particularly in enhancing student engagement through personalized learning experiences and aligning curricula with industry requirements. Recognizing the limitations inherent in deploying either model independently, future research should propose a hybrid approach that combines the strengths of both Collaborative Filtering and Content-based methods, aiming to mitigate the existing drawbacks of the distinct model. The findings provide actionable insights for students, universities, and businesses to enhance educational content and career development tools and pave the way for future research on hybrid recommendation methodologies, which promise a more tailored and efficient learning experience for learners.
Pengaruh Financial Awareness Dan Love Of Money Terhadap Pengelolaan Keuangan Generasi Z
Authors: Fransiska Helen , Sri Dewi
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh financial awareness dan love of money terhadap pengelolaan keuangan generasi Z. Penelitian ini menggunakan metode kuantitatif dan jenis data primer. Populasi dalam penelitian ini adalah generasi Z di Kota Palembang. Teknik pengambilan sampel yang digunakan adalah metode purposive sampling dengan menyebarkan kuesioner dan diperoleh 104 responden. Analisis data yang digunakan dalam penelitian adalah analisis statistik deskriptif, pengujian instrumen penelitian, pengujian asumsi klasik, dan pengujian hipotesis. Hasil penelitian ini menunjukkan bahwa financial awareness dan love of money berpengaruh terhadap pengelolaan keuangan generasi Z.
Pengaruh Penggunaan Informasi Akuntansi Dan Literasi Keuangan Terhadap Keberhasilan Usaha Pada Umkm Di Kota Palembang
Authors: Cecilia Harefa Regina , Sri Dewi
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan informasi akuntansi dan literasi keuangan terhadap keberhasilan usaha pada UMKM di Kota Palembang. Data yang digunakan dalam penelitian ini adalah data primer melalui kuesioner. Populasi dalam penelitian ini adalah UMKM di kota Palembang. Sampel dalam penelitian ini yaitu UMKMyang jenis usahanya pedagang. Sampel ditetapkan berdasarkan metode purposive sampling yaitu sebanyak 116 responden. Pengujian dilakukan dengan menggunakan program SPSS 22. Pada penelitian ini sudah memenuhi uji validitas, uji reliabilitas, analisis statistik deskriptif, uji asumsi klasik, uji hipotesis, dan uji regresi linier berganda. Hasil penelitian menunjukkan bahwa variabel penggunaan informasi akuntansi berpengaruh positif terhadap keberhasilan usaha pada UMKM di Kota Palembang dan variabel literasi keuangan berpengaruh positif terhadap keberhasilan usaha pada UMKM di Kota Palembang.
Analisis Pengaruh Good Corporate Governance Terhadap Creative Accounting Behaviour Dalam Perekayasaan Pelaporan Keuangan
Authors: Alvernia Calista , Maimunah Mutiara
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh mekanisme GCG, yaitu komite audit, komisaris independen, kepemilikan manajerial, dan kepemilikan institusional terhadap creative accounting behaviour yang diwakilkan oleh manajemen laba. Data yang digunakan adalah data sekunder. Populasi dalam penelitian ini adalah perusahaan sektor properti dan real estate yang terdaftar di Bursa Efek Indonesia. Teknik pengambilan sampel merupakan non-probability sampling. Populasi penelitian yaitu 85 perusahaan dengan 119 sampel. Pengujian hipotesis dilakukan dengan analisis regresi berganda. Hasil penelitian ini menunjukkan bahwa komite audit, komisaris independen, dan kepemilikan manajerial tidak berpengaruh terhadap creative accounting yang diproksikan oleh manajemen laba, sedangkan kepemilikan institusional berpengaruh positif terhadap creative accounting yang diproksikan oleh manajemen laba.
Muscular Injection of Botox Exacerbates Seizures Through TNF-alpha and Oxidative Stress in Mice
Authors: Hassanpourezatti Majid , Hosseini Mehdi
Published: August 2024

Background: Recent research has revealed the central adverse effects of Botox after intramuscular injection. The aim of this study was to examine the role of brain oxidative stress factors and circulatory cytokines as indicators of the severity of seizures following acute intramuscular (IM) injection of Botox in mice. Methods: Botox (1, 5 and 30 U, IM) was injected 60 minutes before inducing maximal electroshock (MES) seizures. Nitric oxide (NO), malondialdehyde (MDA) and glutathione (GSH) levels were measured in the brain. Tumor necrosis factor-alpha (TNF-α) levels were also determined in the serum. The motor coordination was assessed after Botox administration by using the chimney test. Results: Botox (5 and 10 U/kg, IM) significantly reduced the duration of hindlimb extension (HLE) and elevated levels of NO and MDA in the brain compared to the seizure group. Additionally, the administration of Botox (1 and 5 U, IM) increased the level of GSH in the brain, while 30 U decreased it. All Botox dosages demonstrated an enhancing effect on serum TNF-α levels compared to the seizure group. Botox at 5 and 30 U induced locomotor incoordination in mice. Conclusion: Our results showed that IM injection of Botox can lead to the exacerbation of tonic-clonic seizures by stimulating oxidative stress in the brain and increasing circulating TNF-α levels in mice.
Development of a GC-MS Method for the Analysis of Selected Opioids in Human Hair Samples
Authors: Soltaninejad Kambiz , Shiri-Ghaleh Vida , Koohi Mohammad Kazem , Hassan Jalal
Published: August 2024

Background: Hair samples are recognized as alternative biological specimens in forensic and clinical toxicology for detecting drug abuse and poisoning. Forensic testing for opioids in hair has become a useful diagnostic measure for assessing chronic drug usage through segmental analysis. However, accurate, sensitive and specific analytical methods are needed. The aim of this study was to introduce a simple, sensitive and specific GC-MS method for the identification and quantitation of selected and commonly abused opioids (tramadol, methadone, morphine, and codeine) in hair samples. Methods: After external decontamination, a 50 mg portion of powdered hair sample was combined with hydrochloric acid (0.1 M) and incubated on a magnetic stirrer at 56°C for 16 hours. Then, 1 mL of sodium hydroxide (0.1 M) and 2 mL of phosphate buffer (1 M, pH=8.4) were added. Chloroform-isopropanol (ratio: 80:20 V/V) was utilized as the extracting solvent and the sample was homogenized and centrifuged for 5 minutes (at 3500 rpm). After centrifugation, the organic phase was dried using dry nitrogen gas. The sample was derivatized with N-methyl-N-(trimethylsilyl) trifluoroacetamide (MSTFA). The blank, standards, and real samples were subsequently analyzed by GC-MS.Results: The limits of detection in the linearity experiments ranged from 0.12 to 0.21 ng/mg. According to the validation results, the method exhibited linearity in the concentration range of 0.1-2.5 ng/mg for all analytes, with calibration curve slopes ranging from R2=0.98 to 0.99. Good inter and intra-day precision relative standard deviations (RSDs) were observed to be <3.5% for all compounds. Extraction efficiency varied from 91.8 to 102.4%. Conclusion: The validation and analysis of actual samples indicate that this method is straightforward, sensitive, and specific for the analysis of opioids in routine hair analysis.
Venomous Aquarium Fish Stings
Authors: Sanaei-Zadeh Hossein
Published: August 2024

Despite the rarity of venomous aquarium fish stings, physicians sometimes encounter them. Therefore, it is essential to be familiar with these stings’ clinical effects and know how to approach and treat them. I searched through PubMed, PubMed Central, Scopus, and Google Scholar and found only a few case reports on this subject. To the best of my knowledge, no published articles review or present case series about all venomous aquarium fish, explaining their stings’ clinical manifestations and management. As you know, some aquarium fish, such as piranhas and snakeheads, are not venomous, but they may bite the finger or hand
A Comprehensive Machine Learning Approach for Advanced Vehicle Detection and Counting
Authors: Bindu Sree
Published: August 2024

The exponential rise of urban areas and the associated surge in transportation congestion. Consequently, this study offers a thorough method for vehicle recognition and counting via the use of machine learning, as well as an effective system for real-time traffic monitoring, with the aim of reducing traffic. The first step is to develop a model that can identify and follow moving cars in still photos or video. This research delves into the topic of teaching a computer to count automobiles using machine learning, a kind of artificial intelligence. The purpose of this study is to provide a computational model for intelligent vehicle detection and tracking at a given location and time of day, using real-time images of passing cars. This approach uses OpenCV to evaluate the model's car detection and counting capabilities, and convolutional neural networks (CNNs) for object recognition and classification. The techniques laid the groundwork for early improvements, which were often enhanced using machine learning classifiers such as random forests and support vector machines (SVMs). To automate the process and get useful information regarding traffic patterns and management.
Exploring the Factors that Facilitate Gender Disparity in Access to Fertile Farmlands in Nadowli-Kaleo District
Authors: Okantey Emmanuel Okaitei
Published: August 2024

The paper explores the factors contributing to gender disparity in access to fertile farmlands in the Nadowli-Kaleo district. It highlights the significant imbalance in land ownership between men and women, influenced by cultural norms, inheritance practices, and patriarchal systems. The study emphasizes the need for interventions to promote gender equity in land ownership and empower women economically. The research employed a case study design to investigate the specific phenomenon of gender disparities in land access in the Nadowli-Kaleo district. This approach allowed for an in-depth exploration of sociocultural, economic, and environmental factors contributing to the gender gap in land ownership. Purposive selection was used to choose 198 participants for the study. The study focused on individuals residing in the Nadowli-Kaleo district, particularly those involved in agriculture and land ownership. The participants ranged from 24 to 65 years old, providing diverse perspectives on the issue of gender disparities in access to farmland. Face-to-face interviews with the assistance of interview guides were utilized to collect data from the participants. The data collected were transcribed, organized, and presented with relevant quotations to support the findings. The study revealed a significant gender disparity in land ownership, with men predominantly owning larger tracts of farmland compared to women who typically owned 1-3 acres or none at all. Factors such as gender, kinship, marital status, and cultural customs were identified as influencing access to land in the district. Based on the findings, recommendations were made.
ЦИФРОВІЗАЦІЯ В О СВІТІ: ПОРІВНЯННЯ ПІДХОДІВ УКРАЇНСЬКИХ І БАЛТІЙСЬКИХ ДОСЛІДНИКІВ ДО ВИЗНАЧЕННЯ ПОНЯТТЯ ТА ЗАВДАНЬ
Authors: ВІРОТЧЕНКО Світлана
Published: August 2024

У вік цифрових технологій та швидкої трансформації суспільства цифровізація стає не лише стратегічною метою, але й необхідністю для забезпечення ефективного функціонування освітнього простору. Українські та балтійські дослідники розглядають це явище як ключ до сучасного й інноваційного навчання, що підвищує конкурентоспроможність освіти та стимулює індивідуальний розвиток учасників освітнього процесу. Мета статті полягає в проведенні порівняльного аналізу підходів дослідників з України та країн Балтії до визначення суті цифровізації в освіті й основних завдань реалізації цього процесу в контексті розбудови сучасного освітнього простору. Методологія. Аналіз, систематизація та теоретичне узагальнення досліджень українських і балтійських дослідників щодо визначення поняття та ролі цифровізації в освіті; порівняння та зіставлення стратегій, підходів і результатів цифровізації в освіті в Україні та країнах Балтії. Наукова новизна статті полягає в тому, що вперше здійснено систематизацію та порівняння підходів українських і балтійських учених до визначення поняття й основних завдань цифровізації освіти з огляду на технологічні, соціокультурні та стратегічні аспекти цього процесу в контексті створення сучасного освітнього простору. Висновки. Цифровізація освіти в Україні та країнах Балтії сприймається як шлях до розбудови інноваційного освітнього простору та управління його процесами. Упровадження цифрових ініціатив у сферу освіти відбувається у відповідності до національних стратегій розвитку, що враховують європейські стандарти та рекомендації. Наукові дослідження акцентують на педагогічних аспектах цифровізації, таких як впровадження нових методів навчання й оцінка їх ефективності. Інтеграція цифрових інструментів у навчальний процес сприяє залученню студентів і підвищенню їхньої мотивації, інтересу до навчання. Цифровізація освіти сприяє забезпеченню доступності й якості освіти, розвитку індивідуальних навчальних потреб і зростанню конкурентоспроможності освітніх систем у міжнародному контексті.