bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH TERPAAN KONTEN VIDEO #OOTD DI TIKTOK TERHADAP PERILAKU KONSUMTIF MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS RIAU
Authors: Nugroho Pramudia , Rumyeni
Published: March 2024

The social media that is currently dominating and widely used is TikTok. The features in the TikTok app are very diverse, one of which is hashtags. One video content often seen on TikTok is #OOTD or outfit of the day. This study aimed to see the effect of exposure to #OOTD video content on the consumptive behavior of students of the Faculty of Economics and Business of Riau University. The research method used is quantitative, with an explanatory approach and a questionnaire as the main instrument in data collection. In determining the sample using the unknown population formula and the results obtained were 100 respondents. Purposive sampling was used as a sampling technique. The S-R theory is used, whereas the stimulus-response theory assumes that spoken words (oral-written), non-verbal cues, pictures, and specific actions stimulate other people to respond a certain way. Based on the results of this study, the independent variable (X) #OOTD Video Content on TikTok has an influence of 48.5% on the dependent variable (Y) Consumptive Behavior of students of the Faculty of Economics and Business, Riau University. This, H0 is rejected, and Ha is accepted.
REPRESENTASI KEPEMIMPINAN PATIH GAJAH MADA DALAM MEMIMPIN PASUKAN BHAYANGKARA MELALUI KARYA TARI “TANDYA” MENGGUNAKAN METHODS of CONSTRUCTION JACQUELINE MARY SMITH-AUTARD
Authors: Mustika Nimas Cahyani , Hoesodiningsih Rr Yvonne Triyoga , Soewardjo B. Kristiono
Published: March 2024

Tujuan dari karya tari ini adalah untuk merepresentasikan Patih Gajah Mada dalam memimpin Pasukan Bhayangkara melalui karya tari TANDYA. Karya tari ini berjudul “Tandya”, menggunakan Metode Konstruksi oleh Jacqueline Mary Smith-Autard dalam bukunya yang berjudul Komposisi Tari (Petunjuk praktis dalam berkarya tari secara sukses dan kreatif); rangsang tari, Motif Komposisi, Motif Komposisi untuk Kelompok, Bentuk Tari, Elemen Konstruksi, Gaya, Improvisasi dalam Proses Komposisi, Pendekatan Alternatif dan Eksperimental dalam Komposisi Tari. Proses pembuatan karya tari meliputi pencarian ide, rangsang tari, ekplorasi, improvisasi, formasi, seleksi evaluasi dan kecerdasan. Karya tari ini meningkatkan pelestarian gaya Jawa Timuran, yang berasal dari gaya Malang dan gaya Banyuwangi. Motif-motif gaya Jawa Timuran yang divariasi meliputi: Tanjak Putra Gagah yang dikembangkan menjadi Tanjak Pengkor, Ukel yang dikembangkan menjadi Ukel Ngeruji, Laku Nyiji dikembangkan menjadi Laku Ngawang. Ulap-ulap dikembangkan menjadi Ulap-ulap Naga, Cangkah Paju, dan Ngeber Kerep. Karya Tari TANDYA ditampilkan pada hari Selasa, 9 Juli 2019 di Plaza Universitas Negeri Jakarta dengan durasi 31:03 menit.
Penerapan Pembelajaran Tari Berbasis Online Learning
Authors: Nasya Saskia Aldila  , Rahmida Setiawati  , Ojang Cahyadi
Published: March 2024

Penelitian ini bertujuan untuk mengetahui proses pembelajaran tari Sirih Kuning siswa X-UPW di SMK N 27 Jakarta serta mendeskripsikan hasil yang diperoleh siswa setelah melalui pembelajaran tari yang dilakukan berbasis online learning. Metode penelitian berupa deskriptif kualitatif dengan teknik pengumpulan data berupa wawancara, observasi, studi pustaka, dan studi dokumen. Teknik analisis data menggunakan Miles dan Huberman berupa reduksi data, penyajian data, dan kesimpulan. Teknik keabsahan data menggunakan teknik triangulasi dengan mengecek dan menyocokan data yang telah diperoleh dari wawancara dengan data hasil pengamatan. Hasil penelitian ini diketahui bahwa pembelajaran tari berbasis online learning dapat berjalan lancar apabila menggunakan platform yang tepat. Siswa terlihat lebih aktif dan antusias selama pembelajaran tari menggunakan platform zoom dan whatsapp. Penggunaan platform ini membantu siswa menjalin interaksi selama kegiatan pembelajaran. Metode demonstrasi membantu siswa untuk lebih memahami materi yang diajarkan, sedangkan metode drill membantu siswa lebih mandiri dalam menyerap materi dengan cara latihan.
Kajian Nilai Pendidikan pada Tari Betangas
Authors: Anindri Mutia
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis bentuk koreografi, rias, busana serta nilai pendidikan pada tari Betangas , selain itu secara umum penelitian ini dilakukan untuk melestarikan kebudayaan di Kabupaten Banyuasin sebagai bentuk apresiasi, tari Betangas  tercipta dari sebuah ketertarikan koreografer terhadap prosesi adat Betangas  untuk para calon pengantin wanita. Betangas  merupakan proses mandi uap secara tradisional yang dilakukan oleh setiap calon pengantin sebelum memasuki hari pernikahannya. Selain secara harafiah Betangas  ini adalah untuk menghilangkan bau badan, sehingga pada hari pernikahannya pengantin akan jadi lebih segar, cantik dan berseri-seri untuk memasuki fase kehidupan baru. Tari Betangas  diciptakan untuk untuk menguatkan identitas Kabupaten Banyuasin. Pada penelitian ini, digunakan pendekatan kualitatif dengan metode deskriptif analisis, teknik pengumpulan data berupa observasi, wawancara, teknik dokumentasi dan studi pustaka. Melalui metode tersebut, peneliti akan membahas lebih dalam terkait struktur koreografi tari Betangas  dalam kajian Etnokoreologi  dan juga penjelasan lebih akurat terkait rias, busana pada tari Betangas . Berdasarkan hasil penelitian, maka dapat disimpulkan bahwa gerakan pada tari Betangas  masuk ke dalam beberapa kategori yaitu, gesture, locomotion, button signal dengan dua desain yaitu simetris dan asimetris. Tata rias yang digunakan pada tari Betangas  menggunakan jenis rias korektif serta dibalut dengan busana tari yang tertutup sesuai dengan pengaruh budaya Melayu yang bernuansa islami dan hidup dalam tatanan masyarakat kabupaten Banyuasin. Pada tari Betangas  pun terdapat berbagai nilai budaya dan Pendidikan yang tersirat dalam gerak-gerak simbolik yang didukung oleh makna-makna yang terkandung dalam penggunaan properti dan kostum yang digunakan oleh para penari.
Peningkatan Kemampuan Musikalitas Melalui Metode Gamelan Mulut (Gamut) pada Mata Kuliah Iringan Tari Betawi-Sunda
Authors: Cahyadi Ojang , Suwandi Tuteng , Haerudin Deden
Published: March 2024

Dalam kondisi darurat covid’19, semua perkuliahan harus dilaksanakan secara online/virtual termasuk perkuliahan praktek Iringan Tari. Mahasiswa dan dosen harus melaksanakan perkuliahan praktek dengan media suara/vocal manusia/mulut sebagai media utama dalam mempraktekan sebuah iringan tari baik Iringan Tari Sunda maupun Iringan Tari Betawi sesuai RPS semester berjalan.  Kondisi ini tidaklah mudah, karena mahasiswa harus memiliki kemampuan musikal yang memadai, hal yang paling sederhana adalah mahasiswa harus mampu menangkap melodi secara harmonis, harus mampu menangkap irama/ritme, dan tempo dalam sebuah iringan tari.  Kajian teori dalam penelitian ini menggunakan teori acapella, musikalitas, dan gamut (gamelan mulut) yang menjelaskan mengenai kemampuan musikal, aspek kemampuan musikal, faktor yang mempengaruhi kemampuan musikal. Metode penelitian menggunakan penelitian tindakan model Kurt Lewin, penelitian yang dilakukan oleh pengajar di dalam kelasnya sendiri melalui refleksi diri, dengan tujuan untuk memperbaiki kinerjanya, sehingga hasil belajar menjadi meningkat. Setelah melalui beberapa tahapan siklus, dari mulai pra siklus, siklus I, dan siklus II, terjadi peningkatan yang signifikan dari kemampuan musikalitas mahasiswa melalui penerapan metoda gamut (gamelan mulut).
Pengembangan Gerak Uncul sebagai Dasar Penciptaan Karya Tari “Aer Sengketa”
Authors: Mega Suryanti  , Deden Haerudin  , B. Kristiono Soewardjo
Published: March 2024

Karya tari berjudul Aer Sengketa berasal dari tradisi Kesenian Ujungan. Dimana kesenian Ujungan di interpretasikan sebagai bentuk legitimasi rasa syukur atas berhasilnya panen padi dan mempererat silaturahmi antar pesilat dari berbagai penjuru. Dengan diiringi musik sampyong sebagai pengiring tari Uncul dalam berlangsungnya permainan Ujungan dikombinasikan dengan musik topeng menambah suasana agar lebih dramatis. Kara tari ini memiliki jumlah penari yang akan digunakan adalah 8 orang penari, 10 pemain silat, 8 penari uncul dan 2 bobotoh.  Tujuan Penciptaan Tari untuk mempresentasikan budaya masyarakat Betawi dalam bentuk rasa syukur karena keberhasilan atas panen padi dan mempererat tali silaturahmi antar pesilat di berbagai penjuru.Metode Penciptaan Tari menggunakan Moving From Within dari buku Alma M. Hawkins yang berjudul “Moving From Within: A Method For Dance Making” yang di terjemahkan oleh I Wayan Dibia menjadi “Bergerak Menurut Kata Hati”. Hasil dari penciptaan tari Aer Sengketa memperkaya motif gerak gaya tari Betawi sebagai berikut Gibang, Kewer, Goyang Plastik, Goyang Cendol, Selancar, dan juga gerak silat silo macan, mincit.
Meningkatkan Kemampuan Daya Ingat Melalui Model Ekspositori Bagi Anak Kelas III dalam Menari Tari Tradisional Di Sanggar Tari Dahayu Astramaya
Authors: Alverina Clara , Dwi Kusumawardani  , Tuteng Suwandi
Published: March 2024

Penelitian bertujuan menganalisis proses dan hasil penerapan model ekspositori. Permasalahan dalam penelitian ini yaitu kurangnya daya ingat peserta pelatihan dan pembelajaran yang belum mengarah kepada daya ingat. Penelitian ini menggunakan metode penelitian tindakan kelas (PTK) dari Kemis dan MC Taggart dengan penerapan model ekspositori. Penelitian ini dilakukan dengan 2 siklus. Setiap siklus terdiri dari 4 tahap, yaitu perencanaan, tindakan, pengamatan dan refleksi. Teknik pengumpulan data menggunakan teknik observasi, wawancara dan tes. Penelitian melibatkan kolaborator untuk melakukan penilaian dan evaluasi hasil dari model ekspositori untuk meningkatkan daya ingat. Hasil penelitian menunjukan bahwa penerapan model ekspositori dapat meningkatkan daya ingat pada peserta pelatihan berdasarkan hasil nilai pra – siklus 55,58, siklus I menjadi 62,34 dan siklus II menjadi 79,21.
Pendekatan Konstruktivisme Dalam Pembelajaran Seni Tari Untuk Meningkatkan Hasil Belajar Siswa
Authors: Thahirah Nida , Budiman Agus
Published: March 2024

Penelitian ini mengkaji tentang penggunaan pendekatan konstruktivisme dalam pembelajaran seni tari. Pendekatan konstruktivisme merupakan model pembelajaran yang memberikan kesempatan kepada siswa untuk mengembangkan kreativitas mereka melalui berbagai kegiatan dalam interaksi edukatif, yang memungkinkan mereka melakukan eksplorasi dan menemukan pengetahuan secara mandiri. Tujuan penelitian ini untuk mendapatkan pemahaman menyeluruh mengenai pengaruh pendekatan konstruktivisme terhadap peningkatan hasil belajar siswa SMA kelas XI pada materi fungsi, jenis, bentuk dan nilai estetis tari kreasi. Metode penelitian ini menggunakan pendekatan kuantitatif pre-experimental design (One Group Pretest-Posttest). Subjek penelitian berjumlah 36 siswa pada satu kelas eksperimen. Instrumen penelitian yang digunakan terdiri dari soal pre-test dan post-test yang berjumlah 15 soal pilihan ganda dengan lima pilihan jawaban, lembar kerja siswa disertai dengan permainan yang berkaitan dengan materi yang dibahas, dimana materi tersebut berbeda tiap pertemuannya sebagai upaya untuk mendukung pendekatan konstruktivisme, kuesioner keefektifan pembelajaran dengan menggunakan pendekatan konstruktivisime, dan pertanyaan wawancara. Hasil penelitian ini membuktikan bahwa pembelajaran dengan menggunakan pendekatan konstruktivisme dapat meningkatkan hasil belajar siswa, hasil analisis dari rata-rata penilaian sebelum diterapkan penerapan berada pada kategori rendah, hasil post-test melalui penerapan pendekatan konstruktivisme meningkatkan rata-rata nilai dengan kategori tinggi. Hasil kuesioner juga menunjukkan bahwa penggunaan pendekatan konstruktivisme dalam pembelajaran seni tari mendapatkan respons positif dari siswa. Pada hasil presentase nilai menunjukan pendekatan konstruktivisme efektif meningkatkan hasil belajar siswa serta menciptakan suasana belajar yang lebih menarik, sehingga siswa dapat mengembangkan kreativitas mereka melalui interaksi edukatif, melakukan eksplorasi, dan menemukan pengetahuan secara mandiri. Selain itu, pendekatan konstruktivisme juga berhasil meningkatkan motivasi belajar siswa SMA kelas XI.
Religious People Beetwen Fashion Androgini and Nonbinary Gender
Authors: Risdianti Tressa , Jamin Ahmad , Damni Albertos
Published: March 2024

Androgynous fashion trends incorporate men’s and women’s clothing elements and are often embraced by individuals who challenge traditional gender norms. This research project aims to explore the reactions of religious individuals to non-binary people wearing androgynous clothing in everyday life. Using a narrative inquiry approach, this research collects interview data to analyze critical issues from the informants’ points of view. Informants were selected through an Outcome-based sampling method from Muslim-majority communities and Islamic college. Examining the responses of community members and students is essential to understand their attitudes toward critical issues better. Research analysis involves two distinct stages. First, it is essential to identify patterns in the data obtained from the two groups of informants based on the derived themes. Second, these patterns must be thoroughly compared with theoretical perspectives to ensure that comprehensive and holistic data is produced. Research indicates that religious individuals and students often share different perspectives regarding non-binary individuals who opt for an androgynous appearance.
The Variations in the Phytochemical Attributes of Nerium Oleander, Ricinus Communis, Calotropis Procera and Withania Somnifera From Three Ecological Zones of Pakistan
Authors: Tazeen Khola , Sajid Zahoor Ahmad , Akbar Khalid Farooq
Published: March 2024

The phyto-climatic diversity in a region presents the life form of vegetation. Plants produce vast and diverse variety of phytochemicals to communicate and minimize the climatic threats. In the current study, the variations in the phytochemical attributes of four plant species (Nerium oleander, Ricinus communis, Calotropis procera and Withania somnifera)from three ecological zones of Pakistan (sandy desert, irrigated & rain-fed plains) were investigated. The phenolic acids, flavonoids and tannins were quantitatively analyzed by methanolic extraction and standardized methods. The results revealed that zone rainfed lands and zone sandy desert showed the maximum amount of phytochemicals in all species and also exhibited the extreme environmental conditions. The irrigated plains had less stressful environmental condition and maximum amount of soil organic matter that resulted in minimum amount of phytochemicals in plant species. Previous research also supports the evidence that environmental stresses like temperature stresses, water stresses, high light intensities increase, and organic matter hinders the accumulation of phytochemicals. This study proved that same species in different ecological zones show different amounts of phytochemicals due to environmental variations, although environmental stresses exert the effects on plants to produce more phytochemicals.
A Novel method for Delineating Thick and Thin Sub Surface layers of the Earth using Wavelet Local Maxima Lines
Authors: N.E Ramesh , S Pushpa Mala.
Published: March 2024

The earth's subsurface layers are investigated using seismic reflection signals. The reflection signals contain data on both the velocity and the thickness of the various layers. The wavelet transforms are a useful technique for seismic stratigraphy because they can detect abrupt changes in subsurface layers. Seismic data is recorded using a single channel and a single sensor with two different offsets using a typical common mid-point (CMP) data acquisition method. The Morlet continuous wavelet transform is shown to be the most effective for resolving discontinuities in thin and thick layers among the wavelets tested. Additionally, it is concluded that the continuous wavelet transform's local maxima lines, which are formed from frequency atoms, are the best places to look for velocities to be interpreted. Decomposing a 1D time domain signal into a 2D image with time and frequency domain is more advanced than traditional amplitude-based 1D time domain signal analysis. The velocity of the various layers can be calculated using the local maxima lines' arrival times at two different offsets. It is possible to determine the depth of the layers by utilizing the velocity and the offset distance in the calculation. Different velocities can lead to a misinterpretation of the layers 'it can be avoided by reordering the layers based on the actual depth to the surface.
Effect of low salt diet on progression of chronic kidney disease: A prospective, open-label, randomized controlled trial
Authors: Trakarnvanich Thananda , Chailimpamontree Worawon , Kantachuvesiri Surasak , Anutrakulchai Sirirat , Manomaipiboon Basmon , Ngamvitchukorn Tanun , Suraamornkul Swangjit , Trakarnvanich Thanphisit , Kurathong Sathit
Published: March 2024

A causal relationship between salt intake and hypertension, stroke, and kidney disease has been established. However, whether reduced salt intake leads to lower blood pressure has been intensely debated. In this prospective, open-label, randomized controlled trial, we examined the impact of low-salt diet on blood pressure, renal function, and other metabolic parameters. Herein, 194 patients with chronic kidney disease (CKD) stage 1–3 were randomized into the low-salt (intervention) and control groups. The intervention group was provided a salt diet (1.5 gm/day) for 3 months. The control group consumed their usual diet; daily food intake was recorded. Renal function tests; 24-hour urinary sodium excretion; urinary protein; and serum calcium, phosphorus, and electrolyte levels were recorded monthly. Blood pressure decreased significantly in both groups; systolic blood pressure reduction at 3 months was significantly greater in intervention group (-6.57, p < 0.001) compared to control group (-0.58, p = 0.072). Mean reduction in 24-hour urine sodium excretion were greater in intervention group and reached significant level at month 2 (-14.45, p = 0.032). Mean reduction in estimated glomerular filtration rate was significantly higher in control group. Thus, a sodium-restricted diet can help reduce blood pressure and slow the progression of renal insufficiency in patients with CKD.
ClinicalTrials.Gov Identifier: NCT05716386 on 28/01/2023
Investigation of cross-opsonic effect leads to the discovery of PPIase- domain containing protein vaccine target to prevent infections by Gram-positive ESKAPE pathogens
Authors: SADONES Océane , Kramarska Eliza , Laverde Diana , Berisio Rita , Huebner Johannes , Romero-Saavedra Felipe
Published: March 2024

Background:
Enterococcus faecium and Staphylococcus aureus are the Gram-positive pathogens of the ESKAPE group, known to represent a great threat to human health due to their high virulence and multiple resistances to antibiotics. Combined, enterococci and S. aureusaccount for 26% of healthcare-associated infections and are the most common organisms responsible for blood stream infections. We previously showed that the peptidyl-prolyl cis/trans isomerase (PPIase) PpiC of E. faecium elicits the production of specific, opsonic, and protective antibodies that are effective against several strains of E. faecium and E. faecalis. Due to the ubiquitous characteristics of PPIases and their essential function within Gram-positive cells, we hypothesized a potential cross-reactive effect of anti-PpiC antibodies.
Results:
Opsonophagocytic assays combined with bioinformatics led to the identification of the foldase protein PrsA as a new potential vaccine antigen in S. aureus. We show that PrsA is a stable dimeric protein able to elicit opsonic antibodies against the S. aureus strain MW2, as well as cross-binding and cross-opsonic in several S. aureus, E. faecium and E. faecalis strains.
Conclusions:
Given the multiple antibiotic resistances S. aureusand enterococci present, finding preventive strategies is essential to fight those two nosocomial pathogens. The study shows the potential of PrsA as an antigen to use in vaccine formulation against the two dangerous Gram-positive ESKAPE bacteria. Our findings support the idea that PPIases should be further investigated as vaccine targets in the frame of pan-vaccinomics strategy.
Mendelian Randomization Investigation: Exploring the Relationship Between Sphingomyelin levels and Hypertrophic Cardiomyopathy Risk through Interleukin-10 levelsExpression
Authors: shi jian , li han
Published: March 2024

In our Mendelian Randomization (MR) analysis, we explored the intricate association between sphingomyelin concentrations and the susceptibility to hypertrophic cardiomyopathy (HCM), with a particular emphasis on the intermediary role of interleukin-10 (IL-10) expression. This investigation was propelled by the pivotal functions that lipids and inflammatory mechanisms serve in the realm of cardiovascular health and pathology, noting the involvement of various lipid species, sphingomyelin included, in the etiology of HCM. As a principal constituent of cellular membranes, sphingomyelin is recognized for its capacity to modulate cellular architecture, signal transduction, and regulatory mechanisms, thereby potentially influencing myocardial rigidity and the propensity towards fibrotic changes. Our research underscored sphingomyelin's capacity to influence HCM risk via the IL-10 mediated inflammatory pathway, given IL-10's anti-inflammatory attributes. The targeting of the lipid-inflammatory nexus presents itself as an innovative therapeutic avenue for HCM management. Subsequent inquiries should endeavor to corroborate these outcomes through expanded genetic and environmental examinations, delve into additional mediatory factors, and ascertain the therapeutic viability of modulating sphingomyelin metabolism and inflammatory pathways across varied demographic cohorts.
Robust fossil evidence for Proboscidean frugivory and its lasting impact on South American ecosystems
Authors: González Erwin , Loayza Andrea , Segovia Ricardo , Rivals Florent , Petermann Alia , Pedraza Iván Ramírez , Asevedo Lidiane , Tornero Carlos , Labarca Rafael , Latorre Claudio
Published: March 2024

Most megaherbivores in the Americas went extinct around 10,000 years ago, presumably disrupting the long-distance seed dispersal of large, fleshy-fruited plant species1. The neotropical anachronism hypothesis of Janzen and Martin2 is often used to explain many key adaptations of these "megafaunal fruit" plants, yet it lacks robust paleoecological evidence. Here, we use a multiproxy approach that provides unequivocal evidence of widespread frugivory by the extinct South American proboscidean Notiomastodon platensis. Using a model that reveals the extinction effects of these megafaunal dispersers in modern ecosystems, we show how losing these interactions has increased the extinction risk of megafaunal fruit plants in regions across South America lacking smaller surrogate dispersers. We further discuss the extent of functional changes that current ecosystems may undergo with continuing anthropogenic pressures.
Machine Learning-Based Yield Prediction for First-Row Transition Metal Catalyzed Cross-Coupling Reactions
Authors: C Rajalakshmi , Vijay Vivek , Vijayakumar Abhirami , Santhoshkumar Parvathi , Kottooran John B , Abraham Ann Miriam , G Krishnaveni , S Anjanakutty C , Varghese Binuja , Thomas Vibin Ipe
Published: March 2024

The advent of first-row transition metal-catalyzed cross-coupling reactions has marked a significant milestone in the field of organic chemistry, primarily due to their pivotal role in facilitating the construction of carbon-carbon and carbon-heteroatom bonds. Traditionally, the determination of reaction yields has relied on experimental methods, but in recent times, the integration of efficient machine learning techniques has revolutionized this process. Developing a highly accurate predictive model for reaction yields applicable to diverse categories of cross-coupling reactions, however, remains a formidable challenge. In our study, we curated an extendable dataset encompassing a wide range of yields of cross-coupling reactions catalyzed by first-row transition metals through rigorous literature mining efforts. Using this dataset, we have developed an automated and open-access reaction model, employing both regression and classification methodologies. Our ML model could be used even by non-expert users, who can solely input the reaction components as datasets to predict the yields. We have achieved a correlation of 0.46 using the Random Forest regression approach and an accuracy of 0.54 using the K-Nearest Neighbours (KNN) classification which employs hyperparameter tuning. Considering the vast chemical space of our small dataset encompassing various transition metals catalysts and different categories of reactions, the above results are commendable. By releasing an open-access dataset comprising cross-coupling reactions catalyzed by 3d-transition metal, our study is anticipated to make a substantial contribution to the progression of predictive modeling for sustainable transition metal catalysis, thereby shaping the future landscape of synthetic chemistry.
Investigation of Fattening Performance, Slaughter, Carcass and Some Meat Quality Characteristics of Imported Simmental, Charolaise and Belgian Blue x Holstein F1 Bullocks
Authors: Ünal Necmettin , Polat Mustafa , Yakan Akin
Published: March 2024

This research was carried out to examine the fattening performance, slaughter, carcass and some meat quality characteristics under intensive fattening conditions of Simmental, Charolaise and Belgian Blue x Holstein F1 bullocks imported from Europe to Türkiye. The animal material of the study was consisted of 13 Simmental, 14 Charolaise and 15 Belgian Blue x Holstein F1 (BBxH F1) bullocks, in totally 42 heads. Data for fattening performance were taken for 9 months of fattening period between the ages of 11–19 months. The bullocks were fed ad libitum with total mixed ration (TMR) (17% crude protein and 2700 kcal/kg DM metabolic energy). The fattening period of the Simmental, Charolaise and BBxH F1 bullocks was started at the 11 month of age with the live weight of 415.63 ± 10.72, 434.78 ± 15.97 kg and 405.60 ± 16.83 kg (P > 0.05), and finished at 19 month of age with the live weight of 648.04 ± 17.54, 742.91 ± 17.50 and 680.51 ± 15.02 kg (P < 0.001), respectively. In the genotypes, the means during whole fattening period were determined as 0.969 ± 0.053, 1.313 ± 0.076, and, 1.146 ± 0.055 kg (P < 0.001) for average daily weight gains (ADWG); 12.349, 9.192 and 10.368 kg for feed conversion rate (FCR); 62 ± 1.11, 60.12 ± 0.77, and 58.33 ± 0.83% for chilled dressing percentages, respectively. In the genotypes, while the ratios of total meat in the whole carcass were obtained as 79.20 ± 0.69, 74.96 ± 0.52 and 76.52 ± 0.98% (P < 0.01), the ratios of total bone were 17.57 ± 0.13, 15.49 ± 0.72 and 16.17 ± 0.49%, respectively. The means for the meat quality traits in the genotypes ascertained at 24th hours after slaughter were obtained as 5.54 ± 0.03, 5.65 ± 0.16, and 5.59 ± 0.06 for pH of longissimus thoracic muscle; 41.71 ± 1.14, 37.73 ± 2.22, and 43.22 ± 1.17 for L* (P < 0.05); 19.39 ± 0.64, 17.91 ± 1.76, and 19.40 ± 0.29 for a*; 11.93 ± 0.33, 10.66 ± 1.38, and 11.35 ± 0.39 for b*; 16.45 ± 0.40, 13.72 ± 1.08, and 15.85 ± 0.95% for water holding capacity; 23.16 ± 1.85, 26.28 ± 1.16, and 18.37 ± 0.94% for cooking loss (P < 0.01), respectively. In conclusion, it was determined that the fattening performances of imported Simmental, Charolaise, and BBxH F1 bullocks under intensive fattening conditions were acceptable, and the best in Charolaise bullocks compared to the other genotypes. While the ratios of the valuable cuts in the whole carcass, and some meat quality characteristics was the lowest in Charolaise, it was determined that the ratios of various bones in the whole carcass was higher in the Simmental bullock compared to the other genotypes.
Sourcing twin transitions: How the ICT sector influences green technology development in European cities
Authors: Barbieri Nicolò , Montanaro Alessandro , Gerli Paolo , Mora Luca
Published: March 2024

The growing interest and prominent position of urban environments in the European policy agenda contrast sharply with the limited attention they have received in existing research regarding their role in twin transitions. This article examines whether and to what extent the expansion of the Information and Technology (ICT) sector in urban settings influences their advancement in green technology domains. Leveraging a unique dataset focused on city-level developments, we find that cities with a larger ICT sector are more likely to experience the emergence of green technologies. Moreover, our analysis reveals that examining the heterogeneity of green technologies uncovers significant policy insights. Specifically, a more dynamic ICT sector contributes to notable advancements in cutting-edge technological fields like carbon capture and storage, energy production, and transportation.
The presence of a significant endophytic fungus in mycobiome of rice seed compartments
Authors: Jeong Eunji , Abdellaoui Najib , Lim Jae Yun , Seo Jeong-Ah
Published: March 2024

Seed microbial communities have been known to have a crucial role in the life cycle of a plant. In this study, we examined the distribution of the fungal communities in three compartments (husk, brown rice, and milled rice) of the fourteen rice seed samples using Illumina MiSeq sequencing. A total of 894 fungal operational taxonomic units were found at 97% sequence identity, and ten fungal genera distributed throughout the three compartments of the rice seeds were identified as the core mycobiome of the rice seed. Based on the diversity analysis, the distribution of the fungal community in milled rice was found to be more diversified, evenly distributed, and differently clustered from the other two compartments. Among core mycobiome, Moesziomyces dominated almost 80% of the fungal communities in the outer compartments of rice seeds, whereas the abundances of other endophytic pathogenic fungi declined. Our results provide that antagonistic yeast Moesziomyces may be able to control the endogenous pathogenic fungal communities in rice seeds, hence maintaining the quality of rice seeds. In addition, the distribution of fungal communities differs depending on the rice seed’s compartment, indicating that the compartment can affect the distribution of the seed microbial community.
Exploring multiple bioprocess monitoring modalities for Large-scale 3D Bioprinted Tissue Cultivation
Authors: CHASTAGNIER Laura , Pragnere Sarah , Gimènez Yilbert , Loubière Céline , el-Kholti Naima , Mazarakis Kleanthis , Schmidberger Timo , Olmos Eric , Lambert Simon Auguste , Marquette Christophe , Petiot Emma
Published: March 2024

In tissue engineering (TE) and regenerative medicine (RM), challenges persist in achieving optimal tissue maturation due to uncontrolled physicochemical environments and the necessity for a dynamic nutrient supply. Real-time monitoring tools are crucial to address these challenges effectively. Our study evaluates nondestructive qualification tools for pre-implantation tissue assessment, aiming to enhance their quality assessment capabilities and broaden their biomedical applications. These tools target internal tissue structure, nutritive medium flow paths, and tissue metabolic state. We extend the capabilities of tissue culture monitoring by integrating advanced bioprocess technologies like Raman spectroscopy or in-vivo imaging tools like magnetic resonance imaging (MRI). Through comparative analysis with Computational Fluid Dynamics (CFD) simulations and MRI velocity mapping, we highlight the synergistic relationship between simulation-based and experimental approaches in optimising tissue feeding and oxygenation. MRI emerges as a precious tool for longitudinal tissue development monitoring, surpassing traditional destructive methods. Our findings underscore the importance of dynamic regulation in tissue culture protocols, facilitated by continuous monitoring and adjustment of the physicochemical tissue environment. Based on evidence from industrial cell-culture processes, Raman spectroscopy emerges as a standard tool for monitoring metabolic tissue. These advancements significantly propel RM and TE, paving the way for comprehensive studies and quantitative analyses essential for developing functional engineered tissues across diverse biomedical applications.
Highly efficient removal of heavy metals from wastewater by MnO2-NP-CPC and γ-Fe2O3-NP-CPC nanomaterials: modeling and optimization with machine learning (Artificial Neural Network).
Authors: Belcaid Ayoub , Beakou Buscotin Horax , Bouhsina Saad , Anouar Abdellah
Published: March 2024

In this study, two nanomaterials with excellent adsorption capacities were developed to remove chromium (VI) and cobalt (II) heavy metals efficiently from wastewater. MnO2-NP-CPC and γ-Fe2O3-NP-CPC nanomaterials were successfully synthesized using an agricultural waste which is cassava peels, and characterized by different techniques namely FTIR, XRD, BET, SEM, and EDX analysis. The experimental tests for the adsorption process were done in a batch system, and the influence of various parameters such as temperature, initial concentration, pH, and contact time on the biosorption of cobalt (II) and chromium (VI) were fully investigated. Furthermore, the Qmax were 546,32 mg/g and 349,59 mg/g for chromium (VI) and cobalt (II) respectively. The results fitted well the monolayer Langmuir with the pseudo-second-order model, revealing that chemisorption controls heavy metals removal, while the thermodynamic sorption was an endothermic and spontaneous reaction. Artificial Neural Network (ANN) model was developed to predict as well as to simulate the experimental results, for this purpose, the proposed model was based on five independent inputs or variables and one output or response which is the predicted adsorbed amount of Cr (VI) and Co (II), the predicted results were in good agreement with the experimental values, indeed the proposed ANN model showed an appreciable prediction accuracy with high optimization ability for chromium (VI) and cobalt (II) removal. Hence the present work has great potential for the industrial and environmental applications of biochar and nanomaterials especially in wastewater treatment and green chemistry.
Air and surface temperatures differently drive terrestrial carbon and water cycles in the high latitudes
Authors: TANG Jing , Chen Shouzhi , Belda David , Rinnan Riikka , Körner Christian , Fu Yongshuo
Published: March 2024

High-latitude vegetation can experience much higher surface temperatures (Tsurf, at radiative equilibrium) than the ambient air temperature (Tair). In snow-free seasons, Tsurf is closely linked to plant physiological and biochemical processes. We drove the dynamic ecosystem model LPJ-GUESS with reanalysis data ERA5-land Tsurf and 2-m Tair to understand regional responses to these two temperatures. We show that plant growth in the tundra is stimulated by warmer Tsurf in the summer months, but in the boreal forests, colder Tsurf in the non-summer months constrains leaf development and enzyme activity for the growing season. Tsurf drives higher primary productivity of tundra plant individuals, but in the boreal forests, productivity is co-influenced by less productive individuals and compensatory changes in vegetation structure (coverage and density). This study demonstrates the importance of forcing temperature in simulating high-latitude ecosystem processes and calls for using correct plant-experienced temperatures to reduce uncertainties in estimating responses and feedback to the climate.
Nomogram prediction for the risk of medical adhesive-related skin injury at the peripherally inserted central catheter insertion site in patients with cancer
Authors: hu mengdie , wang xiaoyu , sun wenyuan , li yang , li xin , zheng qian , gao guanghui
Published: March 2024

Objective To establish a nomogram graph model to accurately predict the risk of medical adhesive-related skin injury(MARSI) at the peripherally inserted central catheter(PICC) insertion site in patients with cancer. Methods Based on data from patients with cancer in Hospital of China, the independent risk factors of MARSI at the PICC insertion site were identified by the logistic univariable and multivariable analysis and were integrated to construct a nomogram, which was validated externally.The predictive effectiveness of the nomogram was evaluated by the receiver operating characteristic curve (ROC) and calibration curve. Results A total of 352 cancer patients were included for analysis.The nomogram incorporated independent MARSI risk factors at the PICC insertion site including delayed cycle of catheter maintenance, moist skin, history of skin allergy, activated partial thromboplastin time(APTT). The C-index of the nomogram model was 0.917 and 0.864 in the training and validation cohort, respectively, demonstrating good discriminative power. The calibration plots of the nomogram revealed excellent agreement between the predicted and actual probabilities. Conclusions We established and validated a novel nomogram for predicting the risk of MARSI at the PICC insertion site in patients with cancer. The nomogram model could precisely estimate the MARSI risk at the PICC insertion siteof cancer patients and identify high-risk patients who are in need of a specific treatment strategy.
Machine Learning Models for Predicting Heart Failure: Unveiling Patterns and Enhancing Precision in Cardiac Risk Assessment
Authors: Navaei Mahdi , Doogchi Zohreh
Published: March 2024

Introduction:
In the modern era, significant efforts are being made to forecast heart diseases using medical data and advancements in data science. Cardiovascular diseases (CVDs) stand as the foremost cause of global mortality, annually claiming millions of lives and contributing to about 31% of total deaths. Heart failure, a prevalent complication of CVDs, necessitates early diagnosis and management for individuals with a history of cardiovascular ailments or those at high risk. Machine learning models offer promising prospects in this regard.
Methodology:
This study employs five distinct machine learning models: logistic regression, support vector classifier, decision tree classifier, random forest classifier, and K-nearest neighbors. These models are applied to analyze medical data accurately. The dataset comprises information from over 900 individuals sourced from reputable medical institutions. It includes various features such as age, sex, chest pain severity, blood pressure, cholesterol levels, blood sugar levels, electrocardiogram results, and other pertinent medical characteristics.
Results:
Upon evaluation using different metrics, the performance of the machine learning models varied. Logistic regression demonstrated the highest accuracy in predicting heart failure at 88%, while the support vector classifier also achieved 88%. The decision tree classifier fell below 85%, the random forest classifier attained 84%, and the K-nearest neighbors classifier showed an accuracy of 82%. The analysis of the dataset revealed a balanced distribution and highlighted gender-based disparities in heart failure. Significant correlations with heart disease were observed for factors such as age, chest pain severity, blood glucose levels, and indicators of physical activity.
Conclusion:
Combining multiple machine learning models facilitates early detection of heart failure. However, selecting the most appropriate model requires careful consideration of project requirements, considering the observed variations in accuracy across different models.
Inbreeding depression affects the growth of seedlings of an African timber species with a mixed mating reproductive system, Pericopsis elata (Harms) Meeuwen
Authors: Angbonda Dieu Merci , Ilunga-Mulala Crispin , Bourland Nils , Beeckman Hans , Boyemba Faustin , Hatakiwe Hulda , Ngongo Jean Pierre , Hardy Olivier
Published: March 2024

Selfing or mating between related individuals can lead to inbreeding depression (ID), which can influence the survival, growth and evolution of populations of tree species. As selective logging involves a decrease in the density of congeneric partners, it could lead to increasing biparental inbreeding or self-fertilization, exposing the population to higher ID. We assessed the influence of inbreeding on the growth of a commercial timber species, Pericopsis elata (Fabaceae), which produced about 54% of self-fertilized seedlings in a natural population of the Congo basin. We followed the survival and growth of 540 plants raised in a plantation along a gradient of plant density (0.07 to 15.9 plants per m2). Parentage analysis allowed us distinguishing selfed and outcrossed seedlings. The annual growth was higher for outcrossed than selfed plants, on average by 10.8% for diameter and 12.9% for height growth. Based on the above ground biomass after 41 months, we estimated ID at δ = 0.32, while a life-time estimate of ID based on the proportions of selfed plants at seedling and adult stages led to δ = 0.7. The level of ID on growth rate did not change significantly with age but tended to vanish under high competition. P. elata is a particularly interesting model because inbreeding depression is partial, with about 26% of reproducing adults resulting from selfing, contrary to most tropical tree species where selfed individuals usually die before reaching adulthood. Hence, the risks of ID must be considered in the management and conservation of the species.
Paenibacillus spp. may facilitate anaerobic soil disinfestation under low temperature condition
Authors: SHISHIDO Masahiro , Pitti Eduardo , Momma Noriaki , Kobara Yuso , Usami Toshiyuki
Published: March 2024

We screened bacteria that may promote the suppressive effect on Ralstonia solanacearum in anaerobic soil disinfestation (ASD) using 1% ethanol at low temperatures (< 30℃). Among 22 isolates grown under anaerobic condition, we selected three isolates that their inoculation significantly suppressed the R. solanacearum population after ASD at 25℃. Based on the 16S rRNA sequences, two isolates were inferred as Paenibacillus polymyxa and the other as Paenibacillus sp. Using qPCR primers designed for these strains, we found that all strains increased in the soil after ASD at 25℃. When ASD was performed using 1% ethanol inoculated with or without these three strains in a concrete frame field site for the mean temperature of 26.3℃, the R. solanacearum population was significantly decreased in the inoculation treatment at the depth of 10 cm. These results suggest that these Paenibacillus strains have the potential to promote the ASD effect using 1% ethanol at low temperatures.
A machine learning approach to predict gene expression levels based on stochastic simulation
Authors: taweraqi Nada Al , King Ross
Published: March 2024

Purpose: Genes are key players in cellular systems as they control different aspects of cell behaviour and progression. Abnormalities in gene activities are indicators of cancer development and pathogenesis. However, despite the many advances in prediction tools and algorithms, predicting gene expression levels is considered challenging due to the noisy measurements of genes and the high complexity of the cellar networks. This study highlights the role of literature knowledge represented as signalling pathways in improving machine learning models' performance as they predict changes in gene expression levels.
Methods: In this work, we introduce simulation-based machine learning models, where we combine stochastic simulation models with multi-target machine learning models to predict gene expression levels.Prior knowledge of gene activities is used to run simulations to infer gene similarities based on their activities.Then these similarities are used to build the machine learning models.
Results: The results show that our method significantly outperforms the baseline, which does not include the literature knowledge.Moreover, It turns out that models of multi-target regression are sensitive to the number of included targets.Also, these models manage to capture the relationship between different targets even if their performance varies in the level of individual genes.
Prediction model for specific cutting energy of nickel-based Inconel 718 under NMQL condition
Authors: Pan Zhirong , Bin Yao , Cai Zhiqin , Lan Qixin
Published: March 2024

The cutting characteristics of Inconel 718 alloy are high hardness and surface hardening, resulting in fast tool wear, severe chipping, and inadequate machining accuracy. To overcome these challenges, this article proposes a method to enhance the cutting performance by injecting fullerene C60 nanoparticle cutting fluid with minimum quantity lubrication (MQL) into the cutting zone. Leveraging the Johnson-Cook constitutive model and the imaginary heat source method, this study simulates the cooling effect and friction reduction characteristics of the cutting contact interface under minimum quantity lubrication conditions, and assessment of cutting energy consumption using predicted and measured specific cutting energy (SCE). Through friction wear tests, the friction coefficient changes under various lubrication conditions are measured and analyze the impact of lubrication conditions on friction and wear mechanism. The cutting test results reveal that variations in cutting parameters significantly influence energy efficiency, with specific cutting energy exhibiting a downward trend as the material removal rate (MRR) increases. Notably, C60 nanoparticle minimum quantity lubrication (NMQL) stands out excellent friction reduction and cooling effects among other lubrication methods. Experimental data demonstrate that NMQL compared with dry cutting, flood cutting and pure MQL, the specific cutting energy is reduced by 31.3%, 19.13%, and 17.37%, respectively, and the cutting energy performance is significantly improved. The maximum error of the SCE prediction model is 17.5%, and the prediction results align well with the experimental findings. This article offers fresh insights for advancing machining theory and exploring sustainable green machining of nickel-based alloys.
Safety assessment of S-1: Real-world adverse event analysis from the FAERS database
Authors: Zhao Di , Liu Jie
Published: March 2024

Background
The aim of this study was to gather information on adverse drug events (ADEs) associated with S1 from the US Food and Drug Administration Adverse Event Reporting System (FAERS) to evaluate its safety and provide a reference for drug use.
Methods
We searched the raw data of the FAERS database from its establishment to the third quarter of 2023 to screen ADE reports involving S-1. Signal detection indicators, including ROR, PRR, BCPNN, and MGPS, were used to perform statistical analysis and systematic classification of adverse drug events (ADEs) based on corresponding threshold conditions.
Results
A total of 186,085,022 REAC reports, and 2,011 PT signals induced by S1 as the PS were obtained. Among them, there were 856 adverse event reports of S1 as the PS. In addition, the average age of patients was 65 years and 6 months. Through screening analysis, a total of 126 PT signals involving 18 SOSCs were identified. Mainly involved in vascular disorders, general disorders, and administration site conditions such as skin and subcutaneous tissue disorders. PT with high occurrence frequency includes papules/rash/pruritus; we also found hypertension with an ROR of 95% CI 90-77121-1156 and uterine cancer with an ROR of 95% CI 90-7292-2817.
Conclusions
Mining and analysis of real-world adverse event data of S1 is helpful in finding potential risk signs or symptoms of adverse drug reactions, suggesting that clinical attention should be paid not only to the adverse reactions mentioned in the drug instructions but also to new suspected adverse reactions and clinical standardized medication to ensure patient medication safety.