bluuebunny/crossref_metadata_2025 huggingface dataset:
Formulation and Evaluation of Quercetin-loaded Banana Starch Nanoparticles
Authors: Kumar Dharmendra , Sharma Pramod Kumar
Published: May 2023

Aims:

Formulation and evaluation of quercetin-loaded nanoparticles

Background:

Nowadays, polymeric nanoparticles are one of the most chosen drug delivery systems for the treatment of life-threatening diseases such as cancer. Drug loading, drug entrapment, and drug release have been the challenges in nanoformulations till now. Various researchers are working to improve these limitations.

Objective:

Formulation of quercetin-loaded starch nanoparticles .Evaluation of drug loading, entrapment, size release, and activity of prepared starch nanoparticles

Methods:

In the present study, starch was isolated from a novel source, i.e., unripe banana fruit. Banana starch contains amylose and amylopectin in a certain ratio. Quercetin-loaded banana starch nanoparticles were prepared using the nano-precipitation method. Drug loading and drug entrapment were determined by different methods.

Results:

The enhanced water absorption capacity of prepared nanoparticles proved the breaking of intra-molecular bonding of amylopectin. In-vitro drug release of quercetin was found to be sustained for up to 12 hours from prepared nanoparticles. SEM was used to determine the particle size and morphology of prepared particles, which were found to be 67.67-133.27 and spherical, respectively. The antioxidant activity of prepared nanoparticles was evaluated by the DPPH scavenging model. The MTT assay for cytotoxicity studies was done using H661 lung cancer cell lines.

Conclusion:

In this research work, banana as a new source of starch was used to prepare quercetin nanoparticles by nano-precipitation method. The various factors of starch that affect the properties of nanoparticles such as water/oil absorption capacity, drug entrapment/loading, and drug release profile were studied. This study also revealed the effect of starch on particle morphology and size. The yield of prepared nanoparticles was lower than expected but particle size and shape were satisfactory. Prepared nanoparticles were evaluated for their antioxidant and cytotoxic potential. Finally, researchers felt the ratio of amylase and amylopectin were considerable factors in the selection of any starch for the formulation of any drug delivery system. This ratio affects the precipitation of nanoparticles, their properties such as oil/water absorption, drug entrapment, and loading as well as the drug release profile of the formulation.
Analisis Kemampuan Kognitif Mahasiswa terhadap Soal Matematika Model TIMSS
Authors: Safitra Muhammad David , Jayanti Regita Dwi , Shafa Shalshabilla , Putri Ratu Ilma Indra , Simarmata Ruth Helen , Nueraeni Zuli
Published: May 2023

Penelitian memiliki tujuan untuk melihat analisis kemampuan kognitif yang dimiliki mahasiswa melalui soal pengembangan model TIMSS matematika yang sudah valid serta reliabel. Metode yang dipakai pada peneliti adalah metode  deskriptif dengan pendekatan kualitatif dan kuantitatif. Deskriptif kualitatif yaitu untuk mengetahui penilaian mahasiswa mengenai dimensi, konstruk, dan bahasa pada soal, kemudian deskriptif kuantitatif dikarenakan pada proses pengumpulan data, penafsiran data yang telah dikumpulkan serta tampilan hasil yang disajikan menggunakan angka diperoleh tiga soal berkarakteristik TIMSS yang akan diuji coba lapangan kepada Mahasiswa Pendidikan Matematika Universitas Sriwijaya. Berdasarkan hasil penelitian, yang pertama kemampuan kognitif  mahasiswa pada indikator 1 dapat dikategorikan sangat rendah.  Kedua, kemampuan kognitif  mahasiswa pada indikator 2 dapat dikategorikan cukup dan yang terakhir kemampuan kognitif  mahasiswa pada indikator 3 dapat dikategorikan sangat tinggi. Dapat disimpulkan, bahwa Mahasiswa Pendidikan Matematika Universitas Sriwijaya secara keseluruhan rata-rata memiliki kemampuan kognitif yang cukup baik.Research have the aim to see the analysis of cognitive abilities possessed by students through the problem of developing a mathematical TIMSS model that is valid and reliable. The method used in researchers is descriptive method with qualitative and quantitative approaches. Qualitative descriptive is to find out student assessments regarding dimensions, constructs, and language in the questions, then quantitative descriptive due to the data collection process, interpretation of the data that has been collected and the display of results presented using numbers.there are three questions with TIMSS characteristics that will be field tested to students. Sriwijaya University Mathematics Education. Based on the results of the study, first the cognitive abilities of students on indicator 1 can be categorized as very low. Second, the cognitive abilities of students in indicator 2 can be categorized as sufficient and finally the cognitive abilities of students in indicator 3 can be categorized as very high. It can be concluded, that the students of Sriwijaya University Mathematics Education as a whole have fairly good cognitive abilities.
Articulate Storyline 3 sebagai Media Pembelajaran Interaktif di Masa Pandemi Covid-19 untuk Meningkatkan Penguasaan Konsep Siswa SMA pada Hukum Kekekalan Momentum: Uji Kelayakan
Authors: Nurmarwaa Syarifa , Raraningrum Adela Ocha , Wardani Sekar Irma , Setiaji Bayu
Published: May 2023

Suatu pembelajaran yang berkualitas adalah ketika pendidik dapat menempatkan perannya dengan baik dalam proses pembelajaran sehingga dapat mencapai tujuan pembelajaran. Salah satu cara yang dilakukan ialah menciptakan media pembelajaran yang akan digunakan. Penelitian ini bertujuan untuk menciptakan media pembelajaran interaktif menggunakan software Articulate Storyline 3 untuk meningkatkan penguasaan konsep siswa SMA terhadap hukum kekekalan momentum dan mengetahui hasil validasi/kelayakan media pembelajaran berbasis software Articulate Storyline 3. Jenis penelitian yang digunakan adalah penelitian dan pengembangan (Research and Development). Subjek penelitian adalah guru SMA dan dosen ahli di bidang pendidikan fisika. Pengumpulan data yang digunakan adalah dengan kuesioner dengan analisis data kuantitatif. Berdasarkan hasil penelitian diperoleh bahwa media yang digunakan sangat layak dengan indeks 4,3 dan materi cukup layak disajikan dengan indeks 3,8. Kemudian untuk instrumen latihan soal diperoleh rata-rata indeks sebesar 0,79 yang mana hal tersebut menjelaskan bahwa latihan soal terbukti valid untuk meningkatkan pemahaman konsep siswa
E-Modul Analitical Mechanics Problem Based Learning: Alternatif untuk Mengukur Kemampuan Berpikir Analisis Siswa
Authors: Prastowo Riyan , Adiningsih Endang Tri , Kaffah Rashinatun , Setiaji Bayu
Published: May 2023

Penelitian ini bertujuan untuk menghasilkan E-modul Analitical Mechanics Problem Based Learning yang layak digunakan dalam pembelajaran fisika. Metode penelitian menggunakan bagian RD. Instrumen yang digunakan adalah angket uji kelayakan modul dan angket uji validasi. Validatornya adalah enam dosen fisika dari Universitas Negeri Yogyakarta. Soal-soal dalam modul ini telah memenuhi indikator kemampuan berpikir analitis berdasarkan taksonomi Bloom. Hasil penelitian menunjukkan bahwa modul Analitical Mechanics Problem Based Learning secara umum layak untuk digunakan pada pembelajaran Fisika. Modul ini memiliki skor kelayakan umum 4,3  sehingga termasuk dalam kategori layak. Hasil uji validitas soal diperoleh skor CVR 1 sebagai skor sempurna pada semua sub indikator. Jadi, himpunan soal dalam modul ini valid. Soal-soal dalam modul termasuk dalam kategori sangat berguna. Sehingga, baik modul maupun soal dapat digunakan untuk mengukur kemampuan berpikir analisis siswa pada materi Mekanika Analitik.
Analisis Kebutuhan Bahan Ajar pada Materi Elektrokimia Topik Korosi berbasis Pendekatan STEM-PjBL berbantuan Video Pembelajaran
Authors: Rokhim Deni Ainur , Widarti Hayuni Retno , Syafruddin Afis Baghiz
Published: May 2023

Bonus demografi menjadi pilar peningkatan produktifitas negara sehingga dapat dimanfaatkan dengan baik. Tujuan penelitian ini adalah menjelakan analisis terhadap kebutuhan dalam pengembangan bahan ajar pada topik korosi berbasis STEM-PjBL berbantu video pembelajaran. Metode yang digunakan penelitian deskriptif dengan teknik kuisioner terbuka dan tertutup. Hasil penelitian didapatkan guru dan siswa masih mengunakan bahan ajar konvensiaonal yang belum terintegrasi dengan pendekatan dan metode. Selain itu, bahan ajar tersebut belum mengunakan teknologi informasi dan komunikasi. Dengan demikan dapat diketahui bahwa secara keseluruhan masih diperlukan pengembangan buku ajar topik korosi yang berbasis pendekatan dan metode tertentu dengan terintegrasi teknologi informasi dan komunikasi
Model Matematika Sitr pada Penyebaran Penyakit Tuberculosis di Provinsi Aceh
Authors: Zahwa Naurah , Nabilla Ulya , Nurviana Nurviana
Published: May 2023

Tuberkulosis (TB) adalah suatu infeksi menular yang berakibat kematian disebabkan oleh Mycobacterium tuberculosis , Mycobacterium bovis atau Mycobacterium africanum . Provinsi Aceh merupakan provinsi dari Indonesia yang memiliki potensi penyebaran Tuberkulosis . penderitaan Tuberculosis mengalami gejala batuk dahak bercampur darah 3 minggu-12 minggu, demam selama tiga minggu atau lebih, sesak nafas dan nyeri dada, penurunan nafsu makan, berat badan turun, rasa kurang enak badan, perasaan di malam hari. Penelitian bertujuan untuk mengetahui model penyebaran penyakit Tuberkulosis dan analisis model kestabilan penyakitTuberkulosis . Penelitian ini menggunakan model matematika SITR yang melibatkan 4 kompartemen yaitu Suspectible (𝑆), Infective ( I), Treatment (T), dan Recovery (𝑅). Data yang digunakan adalah data sekunder yang diperoleh dari Dinas Kesehatan Aceh melalui Dinas Kesehatan Aceh. Dari penelitian ini diperoleh model SITR, dua titik yaitu titik-titik yang penyakit dan titik-titik tersebut, kestabilan kesimbangan dan akhir dari model SITR nilai reproduksi dasar R 0 = 0,124010090. Demikian, pemodelan matematika pada penyebaran penyakit Tuberkulosisini dapat membantu Pemerintah Aceh atau Dinas Kesehatan mengantisipasi penularan penyakit Tuberkulosis .
Pengembangan Modul Fisika berbasis Numbered Team in Guided Discovery (NTGD) pada Materi Mekanika Analitik untuk Meningkatkan Kemampuan Berpikir Analisis Siswa SMA
Authors: Sari Citra Kurnia , Anisa Zulfa Lutfi , Sholiha Imroatullaili , Setiaji Bayu
Published: May 2023

Penelitian ini bertujuan untuk menghasilkan modul fisika berbasis numbered team in guided discovery (NTGD) materi mekanika analitik khususnya persamaan Lagrange untuk meningkatkan kemampuan berpikir analisis siswa. Metode penelitian menggunakan research and development (RnD). Instrumen yang digunakan adalah angket uji validitas soal dan uji kelayakan modul. Uji validitas yang dilakukan yaitu validitas konstruk dari pendidikan fisika UNY. Soal latihan dalam modul ini memenuhi indikator keterampilan berpikir analisis berdasarkan taksonomi Bloom. Hasil uji validitas soal diperoleh skor CVR 1 sebagai skor sempurna pada semua sub indikator. Jadi, himpunan soal pada modul sudah valid. Soal pada modul termasuk dalam kategori sangat berguna dengan revisi. Hasil penelitian menunjukkan bahwa modul mekanika analitik berbasis (NTGD) secara umum layak digunakan pada pembelajaran fisika dengan revisi. Modul ini mempunyai skor 4,7 sehingga termasuk pada kategori sangat layak. Modul telah direvisi berdasarkan komentar validator dan disesuaikan dengan teori. Sehingga baik soal maupun modul dapat digunkan unutuk meningkatkan kemampuan berpikir analisis siswa.
Pemodelan Faktor Lama Penyelesaian Skripsi Mahasiswa Menggunakan Analisis Regresi Dummy
Authors: Supriadi Nanang , Fajriyah Anna , Intan Suri Fraulein
Published: May 2023

Beragam kondisi akademis mahasiswa mengakibatkan perbedaan waktu yang diperlukan untuk menyelesaikan skripsi. Ada mahasiswa yang dapat menyelesaikan skripsi tepat enam bulan sesuai dengan target akademik universitas, tetapi ada juga yang kurang atau lebih dari enam bulan. Faktor-faktor yang mempengaruhi lama penyelesaian skripsi mahasiswa anatar lain adalah topik penelitian, jenis penelitian, jenis data, IPK, bidang keahlian dosen pembimbing, jenis kelamin mahasiswa dan jenis kelamin dosen pembimbing. Tujuan tulisan ini adalah mengkaji model terbaik untuk memprediksi atau menggambarkan lama penyelesaian skripsi mahasiswa berdasarkan faktor-faktor tersebut di atas. Beberapa faktor tersebut mempunyai bentuk data kualitatif (kategorik), salah satu metode untuk mengkuantitatifkan atribut yang bersifat kualitatif dengan cara membentuk variabel yang sifatnya artifisial (dummy) ke dalam model persamaan regresi dengan mengambil nilai 1 dan 0. Variabel dummy sering juga disebut variabel boneka, binary, kategorik atau dikotom. Sehingga analisis yang digunakan untuk menjelaskan hubungan suatu variabel tak bebas Y dengan menggunakan satu atau lebih variabel bebas X dalam tulisan ini adalah analisis regresi dummy. Berdasarkan hasil analisis data diperoleh persamaan model terbaik dalam memprediksi lama penyelesaian skripsi yaitu  dimana X1adalah variable besar IPK mahasiswa.
Pengaruh Sikap Gemar Membaca dan Program Literasi terhadap Hasil Belajar IPA Fisika
Authors: Angelia Siahaan Ayudiah
Published: May 2023

Penelitian ini bertujuan untuk melihat pengaruh serta hubungan antara sikap gemar membaca dan program literasi terhadap hasil belajar IPA Fisika. Metode penelitian yang digunakan adalah dengan pendekatan kuantitattif dengan metode penelitian korelasi. Sampel penelitian ini adalah siswa/siswi SMP Negeri 9 Kota Jambi kelas VII-C dan VII-E dengan total jumlah adalah 60 orang. Teknik yang digunakan adalah cluster random sampling. Untuk mendapatkan data yang baik, maka dilakukan teknik analisis data dengan menggunakan 2 aplikasi yaitu Microsoft Excel dan SPSS versi 25. Bentuk uji yang dilakukan untuk data angket dan soal adalah uji normalits dan uji korelasi. Hasil yang diperoleh adalah sikap gemar membaca mempengaruhi hasil belajar IPA Fisika dan keduanya memiliki hubungan dan pelaksanaan program literasi mempengaruhi gemar membaca siswa dan hasil belajar IPA SMP.
Kemampuan Berpikir Analitis Siswa dalam Memecahkan Masalah Matematis
Authors: Mahyastuti Intan , Dwiyana Dwiyana , Hidayanto Erry
Published: May 2023

Salah satu kemampuan berpikir yang penting untuk dikuasai oleh siswa adalah kemampuan berpikir analitis, karena dapat meningkatkan kemampuan berpikir tingkat tinggi siswa sehingga mereka dapat mengembangkan kemampuan mereka sendiri. Artikel ini bertujuan untuk menganalisis kemampuan berpikir analitis siswa SMP dalam memecahkan masalah matematis melalui pemberian tes pemecahan masalah. Tiga siswa SMP kelas VII diambil secara acak untuk mewakili siswa berkemampuan analitis. Hasil kajian menunjukkan bahwa ketiga siswa tersebut masih belum dapat memecahkan masalah dengan sempurna. Sehingga tiap-tiap subjek yang dipilih adalah siswa yang dapat mendiskripsikan masing-masing indikator  kemampuan berpikir analitis: differentiating, organizing, dan atributing. S1 tidak menunjukkan perbedaan dalam menjawab masalah walaupun telah memecahkan masalah matematika, S2 tidak hati-hati dalam mencari FPB, dan S3 dapat mengorganisir masalah tetapi hanya berpikir sampai jumlah dua angka dibagi menjadi kelas yang sama. Kemampuan berpikir analitis siswa masih kurang.
The Global Malnutrition Composite Score Quality Measure-Seize this Opportunity to Benefit Older Adult Care and Health Equity!
Authors: Brown Philip , Buelsing Sowards Dana , Pittman Mary , Leger Gisele , Manns Susan
Published: May 2023

In August 2022, the Centers for Medicare and Medicaid Services (CMS) adopted its first-ever nutrition electronic clinical quality measure (eCQM), known as the Global Malnutrition Composite Score (GMCS) as part of the Inpatient Hospital Quality Reporting (IQR) Program. Starting in January 2024, hospitals can self-select to include the GMCS as one of three optional eCQMs for reporting. This article focuses on the importance of addressing malnutrition to improve the overall health of the aging population, reduce preventable healthcare expenditures and achieve greater health equity. A detailed explanation of the development of the GMCS, its components, its utility, and the critical role of registered dietitian nutritionists (RDNs) in promoting its adoption are discussed. The successful implementation of malnutrition quality measures and their positive impact on patient care and business operations is exemplified through the experience of the Novant Health New Hanover Regional Medical Center of Southeastern North Carolina. A recommended process for RDNs to pursue to secure the adoption of the GMCS at their respective hospitals and supporting resources are reviewed.
Internet-Based Behavioral Activation for Depression: Systematic Review and Meta-Analysis
Authors: Alber Carolin Sophie , Krämer Lena Violetta , Rosar Sophia Marie , Mueller-Weinitschke Claudia
Published: May 2023

Background

Behavioral activation is an effective treatment for reducing depression. As depressive disorders affect many people worldwide, internet-based behavioral activation (iBA) could provide enhanced treatment access.

Objective

This study aimed to investigate whether iBA is effective in reducing depressive symptoms and to assess the impact on secondary outcomes.

Methods

We systematically searched MEDLINE, PsycINFO, PSYNDEX, and CENTRAL up to December 2021 for eligible randomized controlled trials. In addition, a reference search was conducted. Title and abstract screening, as well as a full-text screening, was conducted by 2 independent reviewers. Randomized controlled trials that investigated the effectiveness of iBA for depression as a treatment or main component were included. Randomized controlled trials had to report depressive symptoms, with a quantitative outcome measure and assess an adult population with depressive symptoms above cutoff. Two independent reviewers performed the data extraction and risk of bias assessment. Data were pooled in random-effects meta-analyses. The primary outcome was self-reported depressive symptoms posttreatment. This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines.

Results

A total of 12 randomized controlled trials, with 3274 participants (88% female, 43.61 years) were included. iBA was more effective in reducing depressive symptom severity posttreatment than inactive control groups (standardized mean difference −0.49; 95% CI −0.63 to −0.34; P<.001). The overall level of heterogeneity was moderate to substantial (I2=53%). No significant effect of iBA on depressive symptoms could be found at 6-month follow-up. Participants assigned to iBA also experienced a significant reduction of anxiety and a significant increase in quality of life and activation compared to the inactive control groups. The results remained robust in multiple sensitivity analyses. The risk of bias assessment revealed at least some concerns for all studies, and there was evidence of slight publication bias.

Conclusions

This systematic review and meta-analysis implies that iBA is effective in reducing depressive symptoms. It represents a promising treatment option, providing treatment access where no treatment is available yet.

Trial Registration

International Prospective Register of Systematic Reviews CRD42021236822; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=236822
Main evidence of nursing care for patient’s kidney disease in the intensive care unit
Authors: Araújo Antônia Célia Florindo de , santos Lidyane Rodrigues Oliveira , Passos Maria Eduarda , Silva Camila Santos , Silva Maria Eduarda Pereira Passos da , Santos Christianne da Silva Teles Torres , Rodrigues Ana Carla de Sousa , Silva Aryanne Cristina Ferreira da
Published: May 2023

Introduction: Renal Failure is a pathology that affects about 10% of the world population, which has the possibility of treatment, in the most serious cases, renal replacement therapy (RRT). The main evidence of care in the Intensive Care Unit is fundamental for safe and effective performance Methodology: integrative review formulated through research in original articles using the PICO method, the research took place from May to July 2021 using the following descriptors: Renal Failure, Care of Nursing and Intensive Care Unit in the following databases: Latin American and Caribbean Literature on Health Sciences Information (LILACS), Virtual Health Library (BVS), Scientific Electronic Library Online (SciELO) and BDENF respecting the limits for publication between 2016 and 2021. Results: Nursing actions are guidelines regarding food balance and fluid intake, management of intradialytic complications and their prevention, such as monitoring signs of acceleration, administration of anticoagulants, antiemetics, saline solution acid-base control and access route maintenance. Conclusion: The use of care protocols and in this environment streamlines the work of the professional nurse in managing the intradialytic occurrence, continuing education and offering training are essential for adequate care.
Quality and Palatability of Beef Subprimals Subjected to Various Frozen/Refrigerated Storage Conditions
Authors: Curry Shelley A. , Arnold Ashley , Savell Jeffrey W. , Gehring Kerri B.
Published: May 2023

The objective of this study was to evaluate the impact of various combinations of refrigerated and frozen storage on quality and palatability attributes in ribeye roll and top sirloin butt subprimals and steaks. USDA Choice boneless ribeye rolls (n=40) and top sirloin butts (n=40) were aged under refrigeration for 21 d before being assigned to 1 of 4 treatments. Treatments included (1) Frozen subprimals/Frozen steaks, in which subprimals were frozen for 30 d, thawed for 7 d, and portioned into steaks that were frozen for 30 d, then thawed for 2 d before evaluation; (2) Frozen subprimals/Refrigerated steaks, in which subprimals were frozen for 30 d, thawed for 7 d, and portioned into steaks for evaluation; (3) Refrigerated subprimals/Frozen steaks, in which subprimals were portioned into steaks that were frozen for 30 d, then thawed for 2 d before evaluation; and (4) Refrigerated subprimals/Refrigerated steaks, in which subprimals were portioned into steaks for evaluation within 7 d of portioning. Beef steaks from the ribeye rolls and top sirloin butts were evaluated to determine the impact of storage treatments on purge, color, cooking yield, tenderness, and consumer acceptability. For both subprimals, purge varied (P<0.0001) among steak treatments, with Refrigerated/Refrigerated being the lowest for both subprimals. For both steak types, cook yield was highest (P<0.05) for Refrigerated/Refrigerated treatment. Refrigerated/Refrigerated ribeye steaks had among the lowest Warner-Bratzler shear force values, and similar (P>0.05) consumer ratings were observed for ribeye steaks. Frozen/Frozen top sirloin steaks had the lowest (P<0.05) consumer ratings for overall liking, flavor liking, and juiciness liking. Storage conditions played a greater role in quality and consumer acceptability for top sirloin steaks than ribeye steaks. Overall, freezing both subprimals and steaks posed the greatest challenge in quality and palatability.
Spatio-temporal variation of dung beetle (Coleoptera: Scarabaeidae) assemblages in a community ecological reserve of southeastern Mexico
Authors: Ahuatzin Diana A. , Dáttilo Wesley , Escobar-Hernández Fernando , Demeza Albina , Arellano Lucrecia
Published: May 2023

Despite the relevance of community ecological reserves, little is known about changes in spatio-temporal biodiversity patterns in these reserves. Here, we analyzed the spatio-temporal dynamics of the dung beetle assemblages in 4 different environments (primary forest, riparian vegetation, secondary forest, and pasture) in the Bajlum Pakal Community Ecological Reserve, in Chiapas, Mexico. We found that the spatial dynamics showed differences among the analyzed environments, with higher diversity in the tropical rainforest and riparian vegetation. The temporal dynamics did not present a relationship with the richness and diversity of species; therefore, spatial dynamics were more important for explaining the diversity of beetles from all environments. When evaluating the spatial turnover, we found that the most important component of β diversity was β2 (between environments), which suggests that the environmental variation provided by the great spatial heterogeneity of the environments modulates the diversity patterns of beetles in this reserve. Conservation strategies must consider changes in the spatio-temporal dynamics that modulate species assemblages to determine their responses to changes in land use. It is important to maintain the existence of community ecological reserves that conserve biodiversity and connectivity in tropical landscapes, as well as the quality of life of its inhabitants.
Speech Emotion Recognition Using Deep Learning
Authors: Kambale Prof. Jagdish , Khedkar Abhijeet , Patil Prasad , Sonone Tejas
Published: May 2023

Abstract: Due to different technical developments, speech signals have evolved into a kind of human-machine communication in the digital age. Recognizing the emotions of the person behind his or her speech is a crucial part of Human-Computer Interaction (HCI). Many methods, including numerous well-known speech analysis and classification algorithms, have been employed to extract emotions from signals in the literature on voice emotion recognition (SER). Speech Emotion Recognition (SER) approaches have become obsolete as the Deep Learning concept has come into play. In this paper, the algorithm for identifying speech-based emotions is implemented using deep learning. It also provides an overview of deep learning methodologies and examines some recent research that makes use of these methods. It makes use of a dataset of various emotional voices and then aids in the identification of that emotion. It will be beneficial for the computers or robots to understand humans more clearly and function in accordance with it.
Peer-to-Peer Car-Sharing System Using Blockchain Technology
Authors: Pharande Rutuja , Gunjal Shubhangi , Mahale Abhishek , Patil Prof. Aparna
Published: May 2023

Abstract: Peer-to-peer car-sharing is a car-sharing service can be built that decentralizes the interaction between users of the app and ensures that no single entity has control over the transaction or the information involved. The project also ensures customer privacy and provides fair and accurate pricing by eliminating third-party services, and it is possible to do all of this by using smart contracts. Implementation of automation of most of the tasks and creating a crypto token that is specific to the application for use in payment for services. This leads to Exchange for carsharing service between the passenger and driver.
Study and Synthesis of Bio-fuel from Jatropha Vegetable Oil
Authors: Chavda Nikunj , Rathod Priyeshnath
Published: May 2023

Abstract: This work has been carried out to produce biodiesel and inspect how the production from Jatropha seeds oil, methanol and using a catalyst as Potassium iodide Aluminium oxide (KI Al2O3). This Methodology dried jatropha seeds ware used. This seed oil is extracted from the jatropha seed by applying the Soxhlet extraction method with methanol as the organic solvent and screw-type mechanical expeller. In the oil free fatty acid content of jatropha seeds oil was 0. 800.i.e.is ≤ 2. After using the transesterification process and the ratio of methanol: oil ratio was 12:1, 0.5 g of catalyst and temperature of the reaction was 60 °C for 4 hours of reaction time with stirring at 600 rpm. The cloud point was 7°C. The pour point was 2°C, density was 0.38 g/cm3 and flash point was 155 °C.
A Systematic Review: Digital Twin in Healthcare
Authors: M S Dr. Roopa
Published: May 2023

Abstract: In recent years, patient-specific, precise treatment and diagnosis have been needed in order to advance efficiency in the healthcare domain. Digital Twin (DT) is a technology that pin-points the Industry 4.0 Revolution. Apart from the manufacturing and automotive industries, DTs in the healthcare sector are also advancing. Traditional analysis of clinical scans uses biomarkers,wherein the diagnostic stage involves numerous scans before the actual treatment is provided. The healthcare staff mostly depends on indigenous knowledge, which is insufficient in the face of unforeseen circumstances. Lack of personalised medication and treatment is still in the infant stages of development. In this paper, we have analysed and reviewed various method- ologies, technologies and proposed solutions for case-specific scenarios of Digital Twin. The correlation between personalised medication and the impact of Digital Twin in the healthcare domain is among our findings. The framework and software are used to provide micro-services, better prediction, and an interface to the ML and DT models. By incorporating these models, optimal, individualised care can be administered in a healthcare environment.
UV-C Based Disinfectant Robot
Authors: Raghuwanshi Akshay , Lomte V. M. , Naik Pushkaraj , Patil Sakshi , Kadam Chaitrali
Published: May 2023

Abstract: UVC (ultraviolet-C) light has been proven to kill various bacteria and viruses, including the COVID-19-producing virus, which has been discovered to be a powerful disinfectant. Manual UVC disinfection, on the other hand, can be tiresome, time-consuming, and hazardous for human operators. As our senior project, we developed a UVC-based disinfection robot to address these problems. Our robot has been designed to move and clean on its own in a variety of applications including hospitals, schools, and public places. Ultrasonic sensors for navigation and obstacle avoidance, a mobile platform, a UVC light source, and an Arduino microcontroller for communication and control comprise the robot.We conducted a microbiological test to gauge the robot's performance by comparing the number of microbe cells on a surface before and after UVC disinfection. Our findings demonstrated the robot's effectiveness as a disinfection tool by showing that bacterial colonies were reduced by 93.9%. By measuring UVC radiation levels at various angles and at various distances from the light source, we were also able to assess the safety of the robot. Our findings demonstrated that the robot complied with safety requirements for UVC radiation exposure to humans.
Seguridad jurídica como fin del derecho
Authors: Vargas Morales Ricardo Alberto
Published: May 2023

Dentro de los fines perseguidos por el derecho se encuentran la justicia, el bien común y la seguridad jurídica. La seguridad jurídica en tanto fin del derecho también constituye un valor de este y forma parte de su concepto. La aproximación a su definición abre sendas en distintos sentidos que deben ser aprehendidos. Este artículo analizar las diversas acepciones que emanan de sus divisiones fundamentales, sus principales manifestaciones en el ordenamiento jurídico chileno y sus problemas esenciales.
Peran Manajemen Sumber Daya Manusia dalam Meningkatkan Kinerja Karyawan di Masa Pandemi
Authors: Widiartini Ni Putu , Aprinica Ni Putu Isha
Published: May 2023

Penelitian ini mengenai peran manajemen SDM dalam meningkatkan kinerja karyawan. Tujuannya untuk mengetahui bagaimana peran manajemen SDM dalam meningkatkan kinerja karyawan di masa pandemi. teknik pengumpulan data yang digunakan yaitu observasi dan wawancara. Jenis data yang digunakan dalam penelitian ini adalah kualitatif. Dari hasil penelitian dan pembahasan dapat diperoleh bahwa peran manajemen sumber daya manusia dalam meningkakan kinerja karyawan yaitu dengan cara mengecek kuantitas hasil kerja, kualitas kerja, menanyakan hal tentang keinisiatifan saat interview, ketelitian karyawan, kepemimpinan, kejujuran serta kreativitas karyawan. selain itu maanjemen sumber daya manusia selalu memberikan training kepada setiap karyawan setiap bulan untuk meningkatkan skill dan ilmu karyawan.
 
This research is about the role of HR management in improving employee performance. The goal is to find out how the role of HR management in improving employee performance during the pandemic. Data collection techniques used are observation and interviews. The type of data used in this research is qualitative. From the results of research and discussion, it can be seen that the role of human resource management in improving employee performance is by checking the quantity of work, quality of work, asking questions about initiative during interviews, employee accuracy, leadership, honesty and employee creativity. In addition, human resource management always provides training to each employee every month to improve employee skills and knowledge.
RANCANG BANGUN JARINGAN WIRELESS LAN DAN INTERNET BERBASIS CLOUD PADA UNIVERSITAS BINA BANGSA GETSEMPENA
Authors: Danuasmo Satrio , Nazuarsyah Nazuarsyah , Ginting Rossiana Br
Published: May 2023

The internet is now a part of our lives. Where to create an infrastructure that requires a design, analysis, and implementation to build a network that has comfort, security, and high reliability. Universitas Bina Bangsa Getsempena (UBBG) requires an internet infrastructure network that can be used for high mobility. UBBG builds a network in stages, which emphasizes the level of need for the academic community. In designing this network, it is determined the budget plan provided by the University regarding infrastructure development in the campus environment. In the first phase of this design, the focus is on Wireless Fidelity (Wi-Fi) access, internet access in laboratories, and University Local Area Network (LAN) networks. The results of this study are the effectiveness of network use, the number of connected clients, and the amount of traffic usage
Detecting and considering a relative tidal gravimeter drift
Authors: Chistiakova E.A.
Published: May 2023

Thorough study of the equipment is essential before any measurements are made. Relative tidal gravimeters are complex technical devices; they enable measuring gravity time variations with high accuracy (1 μGal). The main source of systematic errors is their instrumental drift. Value and nonlinearity of the drift for each unit is individual. There are plenty of considering methods; they depend on material and technical opportunities. The simplest and less resource-consuming algorithm is to take the drift into account using the piecewise linear approximation technique. This research deals with assessing the accuracy of accounting the instrumental drift of the gPhoneX#117 (Micro-g LaCoste, USA) tidal gravimeter using the specified means. For this purpose, the drift was obtained through approximation by polynomials of the first and second degree was estimated in comparison with the results of reference (absolute) observations. It is concluded that the method of piecewise linear approximation can only be used for rejecting poor quality measurements. It is recommended to identify, control and accounting the instrumental drift by comparing measurements with the data of regular absolute monitoring.
Spectral Characterization of Avocado Persea Americana Mill. Cv. Hass Using Spectrometry and Imagery from the Visible to Near-Infrared Range
Authors: Torres-Madronero Maria C. , Rondón Tatiana , Franco Ricardo , Casamitjana Maria , Trochez González Johana
Published: May 2023

Remote sensing technologies, such as spectral imaging, have great potential for crop monitoring. Spectral systems measure the energy reflected and emitted by a surface, typically between the visible and near-infrared regions of the electromagnetic spectrum. This paper presents a spectral characterization of avocado (Persea americana Mill. cv. Hass) using spectrophotometry and spectral imaging. The study uses data from four avocado farms, which were collected in situ using spectrometers and GreenSeeker sensors and remotely using satellites such as Landsat 8 and Sentinel 2. The spectral signatures captured by the in situ and remote sensors were compared and subsequently related to vegetation indices. Spectrometry revealed differences between young and mature leaves, particularly in the 480 nm to 650 nm region of the spectrum, which showed color changes in young avocado leaves. The analysis of satellite data highlighted significant differences between Sentinel 2 and Landsat 8 spectral signatures. These differences are likely due to several factors, including collection date, preprocessing, and spatial resolution of the data. Finally, the vegetation indices derived from in situ and satellite measurements displayed different scales. For in situ data, the Normalized Difference Vegetation Index (NDVI) values were around 0.9 for the spectrometers and 0.7 for the GreenSeeker sensors. However, the NDVI values derived from satellite data were around 0.4 for Sentinel 2 and 0.3 for Landsat 8.
Data envelopment analysis is introduced to analyze highway operation efficiency and ETC innovative customer service strategy
Authors: Gao Ce , Liu Guandong , Wei Xuchen
Published: May 2023

In recent years, as the era of electronic payment has brought about the
development of intelligent multi-scale forecasting of highway traffic in
my country, it has also been developed because of its late start.
Expressway intelligence, in simple terms, is the combination of human
operation intelligent technology, digital transmission and analysis and
professional skills mastery in the process of highway management. This
technology can imitate people’s thinking and analysis capabilities to
ensure that the original plan is normal run. The core point of the goal
of realizing highway intelligence is the relationship between the road,
the driving vehicle and the owner and the establishment of a relatively
stable and efficient transportation route. From the perspective of
intelligent areas that have implemented multi-scale prediction of
expressway traffic, it is mainly reflected in the form of ETC,
multi-scale prediction of networked traffic, that is, according to the
province or larger area, a one-time payment method is adopted for
all-in-one cards. Form a complete set of intelligent flow multi-scale
prediction system system, maximize the consideration of road users and
economic development needs, effectively solve the closed flow
multi-scale prediction system generated by different attributions or
business entities and improve the efficiency of expressway use and
service quality , Reduce the corresponding energy consumption and lay a
good foundation for the sustainable development of highways in our
country.
An integrated study to decipher immunosuppressive cellular communication in the PDAC environment.
Authors: Avşar Gülben , Pir Pınar
Published: May 2023

Pancreatic ductal adenocarcinoma (PDAC) is one the most aggressive
cancers and characterized by a highly rigid and immunosuppressive tumor
microenvironment (TME). The extensive cellular interactions are known to
play key roles in the immune evasion, chemoresistance and poor
prognosis. Here, we used the spatial transcriptomics, scRNA-seq and bulk
RNA-seq datasets to enhance the insights obtained from each to decipher
the cellular communication in the TME. The complex crosstalk in PDAC
samples were revealed by the single-cell and spatial transcriptomics
profiles of the samples. We show that tumor-associated macrophages
(TAMs) are the central cell types in the regulation of microenvironment
in PDAC. They colocalize with the cancer cells and tumor-suppressor
immune cells and take roles to provide an immunosuppressive environment.
LGALS9 gene which is upregulated in PDAC tumor samples in comparison to
healthy samples was also found to be upregulated in TAMs compared to
tumor-suppressor immune cells in cancer samples. Additionally, LGALS9
was found to be the primary component in the crosstalk between TAMs and
the other cells. The widespread expression of P4HB gene and its
interaction with LGALS9 was also notable. To the best of our knowledge,
this publication is the first study which demonstrates the upregulation
of P4HB in PDAC at the transcriptomics level. Our findings point to a
profound role of TAMs via LGALS9 and its interaction with P4HB that
should be considered for the further elucidation as target in the
combinatory immunotherapies for PDAC.
Simplified Three-Phase SSI for PV System Application Controlled via Model Predictive Control
Authors: Elthokaby Youssuf , Abdelsalam Ibrahim , Abdel-Rahim Naser , Mohamed Islam
Published: May 2023

In this paper, for standalone and grid-connected PV systems, a
three-phase simplified split-source inverter (SSI) is proposed and
controlled using a model-predictive control (MPC). The maximum power
point tracking (MPPT) approach used is an incremental conductance method
based on a PI controller for both systems. The standalone system is
composed of PV modules, a three-phase SSI, and a bidirectional power
DC-DC converter that connects a battery bank and a DC-side capacitor.
The output AC voltages of SSI are controlled using model-predictive
control. The bidirectional power DC/DC converter regulates the DC-link
voltage (DCLV). The grid-connected system consists of PV modules, a
three-phase SSI, and an AC-side L-filter. The DC-link PI controller
generates reference currents for the MPC algorithm. The MPC uses these
reference currents to adjust and deliver the PV power to the grid while
regulating the DCLV. The PI controllers’ parameters are selected for
both systems using the Harris Hawks optimization method. Both PV systems
simulation results show that under various operating conditions, they
have succeeded in fixing a DCLV and producing a high-quality AC output
voltage and current at low THD. Experimental results for the three-phase
standalone PV system used to verify the system’s performance.
A New Continuous Class-E Mode Based on the General Theory of High-Efficiency Continuous Power Amplifier
Authors: Wei Xuepeng , Luo Yonglun , Wu Yulan , Yuan Guoqing , Chang Rong , Hong Guoping
Published: May 2023

By multiplying with the continuous factor (CF), the conventional Class-
F / F - 1 , Class-J power amplifier (PA) can be expanded to their
corresponding continuous modes, resulting in a great degree of freedom
for broadband design. However, this method can hardly apply to other
types of PAs. In view of this problem, the continuous mode is deeply
analyzed from the perspective of equation solving for the first time,
and a general theory for high-efficiency broadband continuous PA design
is proposed. In this theory, the continuous impedance space does not
rely on a mapping relationship achieved by multiplying with the CF, but
on a direct solution of the high-efficiency equations to obtain the
broadband design space. This approach is simpler and has the potential
to provide greater design space. As a validation, this theory is used
for the analysis of Class-E PAs and a new continuous Class-E (NC-E) PA
is presented. With knee-point voltage and finite harmonics taken into
account, this type of PA greatly expands the broadband design space of
Class-E PAs, and also has the advantage of harmonic matching. The NC-E
PA is designed and manufactured using GaN HEMT CGH40010F, which achieves
40.6∼41.6dBm output power and 66.2%∼74.2% drain efficiency (DE) in the
frequency band of 2.5-3.8GHz.
Substorm Driven Chorus Waves: Decay Timescales and Implications for Pulsating Aurora
Authors: Troyer Riley N , Jaynes Allison N , Hartley David P , Meredith Nigel P , Hua Man , Bortnik Jacob
Published: May 2023

Energetic electron precipitation (EEP) associated with pulsating aurora
can transfer greater than 30 keV electrons from the outer radiation belt
region into the upper atmosphere and can deplete atmospheric ozone via
collisions that produce NOx and HOx molecules. Our knowledge of exactly
how EEP occurs is incomplete. Previous studies have shown that pitch
angle scattering between electrons and lower-band chorus waves can cause
pulsating aurora associated with EEP and that substorms play an
important role. In this work, we quantify the timescale of chorus wave
decay following substorms and compare that to previously determined
timescales. We find that the chorus decay e-folding time varies based on
magnetic local time (MLT), magnetic latitude, and wave frequency. The
fastest decay occurs for lower-band chorus in the 21 to 9 MLT region and
compares well to the timescale of Troyer et al. (2022) for energetic
pulsating aurora. We are able to further support this connection by
modelling our findings in a quasi-linear diffusion simulation. These
results provide observations of how chorus waves behave after substorms
and add additional statistical evidence linking energetic pulsating
aurora to substorm driven lower-band chorus waves.
The Lifecycle of New Zealand Atmospheric Rivers and Relationship with the Madden-Julian Oscillation
Authors: Prince Hamish D , Gibson Peter B , Cullen Nicolas J.
Published: May 2023

New Zealand atmospheric river (AR) lifecycles are analyzed to examine
the synoptic conditions that produce extreme precipitation and regular
flooding. An AR lifecycle tracking algorithm, novel to the region, is
utilized to identify the genesis location of New Zealand ARs: the
location where moisture fluxes enhance and become distinct synoptic
features capable of producing impactful weather conditions. Genesis
locations of ARs that later impact New Zealand cover a broad region
extending from the Southern Indian Ocean (90°E) into the South Pacific
(170°W) with the highest genesis frequency being in the Tasman Sea. The
most impactful ARs, associated with heavy precipitation, tend to
originate from distinct regions based on landfall location. Impactful
North Island ARs tend to originate from subtropical regions to the
northwest of New Zealand, while impactful South Island ARs are
associated with genesis over southeast Australia. The synoptic
conditions of impactful AR genesis are identified with North Island ARs
typically associated with a cyclone in the central Tasman Sea along with
a distant, persistent low pressure off the coast of West Antarctica.
South Island AR genesis typically occurs in conjunction with moist
conditions over Australia associated with a zonal synoptic-scale
wavetrain. The Madden–Julian oscillation (MJO) is examined as a
potential source of variability that modulates New Zealand AR
lifecycles. It appears that the MJO modulates AR characteristics,
especially during Phase 5, typically bringing more frequent, slow moving
ARs with greater moisture fluxes to the North Island of New Zealand.
Global runoff partitioning based on Budyko-constrained machine learning
Authors: Cheng Shujie , Hulsman Petra , Koppa Akash , Beck Hylke E. , Cheng Lei , Miralles Diego G.
Published: May 2023

Understanding the partitioning of runoff into baseflow and quickflow is
crucial for informed decision-making in water resources management,
guiding the implementation of flood mitigation strategies, and
supporting the development of drought resilience measures. Methods that
combine the physically-based Budyko framework with machine learning (ML)
have shown promise in estimating global runoff. However, such ‘hybrid’
approaches have not been used for baseflow estimation. Here, we develop
a Budyko-constrained ML approach for baseflow estimation by
incorporating the Budyko-based baseflow coefficient (BFC) curve as a
physical constraint. We estimate the parameters of the original Budyko
curve and the newly developed BFC curve based on 13 climatic and
physiographic characteristics using boosted regression trees (BRT). BRT
models are trained and tested in 1226 catchments worldwide and
subsequently applied to the entire global land surface at a 0.25° grid
scale. The catchment-trained models exhibit strong performance during
the testing phase, with R2 values of 0.96 and 0.88 for runoff and
baseflow, respectively. Results reveal that, on average, 30.3% (spatial
standard deviation std=26.5%) of the continental precipitation is
partitioned into runoff, of which 20.6% (std=22.1%) is baseflow and
9.7% (std=10.3%) is quickflow. Among the 13 climatic and physiographic
characteristics, topography and soil-related characteristics generally
emerge as the most important drivers, although significant regional
variability is observed. Comparisons with previous datasets suggest that
global runoff partitioning is still highly uncertain and warrants
further research.