bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH KONDISI RUANG SIMPAN DAN BAHAN PENGEMAS TERHADAP DAYA SIMPAN BENIH JAGUNG PULUT VARIETAS URI
Authors: Devita Kotten Cornelia Deserinda , Pudjihartati Endang 
Published: December 2023

ABSTRAK Jagung pulut merupakan salah satu bahan pokok selain beras yang dapat mendukung diversifikasi dan industri pangan. Rendahnya ketersediaan benih bermutu membuat jagung pulut memiliki tingkat produktivitas yang rendah dan sulit berkembang dalam skala luas. Penelitian ini bertujuan untuk mengetahui pengaruh pengaruh kondisi ruang simpan dan bahan pengemas terhadap mutu benih jagung pulut. Penelitian ini menggunakan rancangan split plot. Petak utama berupa perlakuan kondisi ruang simpan yang terdiri dari ruang kamar, ruang AC, dan kulkas. Anak petak berupa kemasan simpan yang terdiri dari 4 taraf yaitu kaleng tin, alumunium foil, plastik PP, dan karung plastik. Hasil penelitian menunjukkan bahwa perlakuan yang terbaik untuk mempertahankan mutu fisik dan mutu fisiologis yaitu pada suhu dan kelembapan rendah (ruang AC dan kulkas) dengan menggunakan bahan pengemas kaleng tin dan plastik PP. Interaksi perlakuan antara kondisi ruang simpan kamar dan bahan pengemas karung plastik tidak mampu mempertahankan daya berkecambah (DB) hingga akhir penyimpanan (4 bulan). ABSTRACT Sticky corn is a staple ingredient other than rice that can support diversification and the food industry. The low availability of quality seeds means that corn has a low level of productivity and is difficult to develop on a wide scale. This research aims to determine the influence of storage room conditions and packaging materials on the quality of sticky corn seeds. This research used a split plot design. The main plot was a treatment of the condition of the storage room which consists of the bedroom, AC room and refrigerator. The subplot was in the form of storage packaging consisting of 4 levels, namely tin cans, aluminum foil, PP plastic and plastic sacks. The results of the research showed that the best treatment to maintain physical quality and physiological quality was at low temperature and humidity (AC room and refrigerator) using packaging materials such as tin cans and PP plastic. The treatment interaction between the storage room conditions and the plastic sack packaging material was unable to maintain germination capacity (DB) until the end of storage (4 months).
РОБОТА ДЕРЕВ’ЯНИХ БАЛОК В УМОВАХ КОСОГО ЗГИНУ ЗА РІЗНИХ КУТІВ НАХИЛУ
Authors: Павлюк А.П, , Гомон С.С., 
Published: December 2023

Виконано моделювання та розрахунок дерев'яних балок в умовах косого згину з використанням програмного комплексу «Ліра». Розрахунок балок проводився за різних кутів нахилу ­від 1 до 25. Проведено аналіз зміни напружень та деформацій на різних рівнях навантаження – від 0,2Fmax до 0,8Fmax. Встановлено, що збільшення кута нахилу призводить до збільшення деформацій балок та максимальних значень напружень в стиснутій та розтягнутій зонах поперечного перерізу. Збільшення кута нахилу в більшій мірі впливає на прогини в площині у–у. Приріст величин повних прогинів та максимальних напружень стиску і розтягу на верхніх рівнях навантаження більший, в порівнянні з аналогічними величинами на нижніх рівнях навантаження при зміні кута нахилу балок від 1 до 25.

Виконано моделювання та розрахунок дерев'яних балок в умовах косого згину з використанням програмного комплексу «Ліра». Розрахунок балок проводився за різних кутів нахилу ­від 1 до 25. Проведено аналіз зміни напружень та деформацій на різних рівнях навантаження – від 0,2Fmax до 0,8Fmax. Встановлено, що збільшення кута нахилу призводить до збільшення деформацій балок та максимальних значень напружень в стиснутій та розтягнутій зонах поперечного перерізу. Збільшення кута нахилу в більшій мірі впливає на прогини в площині у–у. Приріст величин повних прогинів та максимальних напружень стиску і розтягу на верхніх рівнях навантаження більший, в порівнянні з аналогічними величинами на нижніх рівнях навантаження при зміні кута нахилу балок від 1 до 25.
SUSTAINING CLASS INTERACTION AND COLLABORATIVE LEARNING IN A VIRTUAL CLASSROOM
Authors: Yustisia Karlina Karadila , Lailiyah Malikhatul , Lia Fitriana Cinta 
Published: December 2023

The teaching and learning activity must continue even in any situation or time, and most educational settings use online learning to keep it on the path. To achieve specific goals in 21st-century learning skills, improving students' collaborative skills in problem-solving, solution-finding, decision-making, and bargaining is crucial. The main focus of the investigation was how to improve students' collaborative learning when learning a language. This research explained the phase applied to progress the class interaction through collaborative learning in a virtual classroom. In the learning process, the students were divided into two groups. The first was the learning group, where the students gained knowledge, then regrouped in the teaching group and presented what they had learned from the learning group. Six open-ended questions were given to assess the students’ knowledge-building and experience in the learning and teaching groups. Research showed that most students agreed and were satisfied with this group collaboration activity in a virtual classroom. The result also indicated that students perceive group work satisfaction positively, with an average mean of 3.7. By utilizing video-teleconference technologies to their full potential, students can engage in virtual networking interactions and develop close relationships to solve problems with one another. Even if the entire teaching and learning process takes place online, the students can still engage in discussions with each small group which could result in collaborative learning.
Pengaruh Beban Kerja dan Keselamatan & Kesehatan Kerja (K3) Terhadap Produktivitas Kerja Karyawan di PT Cipta Abadi Bogor
Authors: Oktavianti Novi , Nariah Nariah , Astuti Aprilia 
Published: December 2023

Tujuan penelitan adalah untuk mengetahui pengaruh secara parsial dan simultan beban kerja, keselamatan kerja dan produktivitas kerja karyawan PT Cipta Abadi. Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini adalah seluruh karyawan PT. Cipta Abadi. Sedangkan sampel yang digunakan dalam penelitian ini adalah sampel jenuh sebanyak 90 responden. Teknik pengumpulan data dengan cara kuesioner dan Teknik analisis data menggunakan uji instrument, uji asumsi klasik, analisis jalur, uji t-hitung dan uji f-hitung. Hasil penelitian menunjukan, Pengaruh beban kerja (X1) terhadap produktivitas kerja (Y) pada PT. Cipta Abadi berpengaruh signifikan yang dapat dilihat dari nilai t-hitung lebih besar dari t-tabel dari hasil uji t t-tabel sebesar 18,243> 1.663 dan taraf signifikansi lebih kecil sebesar 0.000 < 0.05. Maka H0 ditolak dan H1 diterima. Pengaruh Kesehatan keselamatan kerja (X2) terhadap kepuasan kerja (Y) pada PT. Cipta Abadi berpengaruh secara signifikan yang dapat dilihat dari nilai t-hitung lebih besar dari t-tabel sebesar 12,630 > 1.663 dan taraf signifikansi lebih kecil sebesar 0.000 < 0.05. Maka H0 ditolak dan H2 diterima.Pengaruh Beban kerja (X1) terhadap Kesehatan keselamatan Kerja (Y) pada PT. Cipta Abadi berpengaruh secara signifikan dapat dilihat dari nilai t-hitung lebih besar dari t Nilai F hitung lebih besar dari F-tabel sebesar 185.527 > 3,101 dengan signifikansi F sebesar 0,000 < 0,05. Maka H0 ditolak dan H3 diterima.
Pengaruh Debt to Equity Ratio, Return On Asset, Dan Earning Per Share Terhadap Harga Saham Pada PT Mustika Ratu Tbk Periode Tahun 2010-2021
Authors: Lutfi Asep Muhammad , Wahyuni Siti Indah 
Published: December 2023

Penelitian ini bertujuan untuk mengetahui pengaruh Debt to Equity Ratio, Return On Asset, Earning Per Share Terhadap Harga Saham.perusahaan yang diteliti adalah PT Mustika Ratu Tbk periode 2010-2021. Data yang digunakan adalah data sekunder menggunakan metode penelitian deskriptif dan data tersebut bersifat kuantitatif, metode analisis yang dipakai pada penelitian ini adalah analisis regresi linier berganda dan uji hipotesis yaitu uji t dan uji f. variable yang digunakan adalah Debt to Equity Ratio(X1), Return On Asset (X2), Earning Per Share(X3) terhadap Harga Saham (Y). hasil pengujian Debt to Equity Ratio(X1) terhadap harga saham nilai thitung (-3,292) > ttabel (2,306) dengan nilai signifikasi (0,011<0,05) Sehingga H01 berpengaruh negatif dan diterima dan Return On Asset (X2) dengan nilai thitung (2,384) >ttabel (2,306) dengan nilai signifikasi (0,044<0,05) Sehingga Ho2 diterima maka kedua variable tersebut terdapat pengaruh signifikan secara parsial.sedangkan Earning Per Share(X3) memiliki nilai thitung (-1,099) < ttabel (2,306) dengan nilai signifikasi (0,204 > 0,05) Sehingga Ho3 ditolak maka tidak terdapat pengaruh signifikan secara parsial. dimana Fhitung 11,896 > Ftabel 3,86 dengan nilai signifikasi (0,003<0,05) dapat disimpulkan secara simultan bahwa Debt to Equity Ratio (DER), Return On Asset (ROA), dan Earning Per Share (EPS) berpengaruh signifikan terhadap Harga Saham. Dan mengindikasikan bahwa kontribusi variabel Return On Asset (ROA), Debt to Equity Ratio (DER), dan Earning Per Share (EPS) terhadap harga saham adalah sebesar 81% sedangkan 19% ditentukan oleh faktor lain.
Perancangan Strategis Sistem Informasi Financial Planning Management dengan Robo-Advisor
Authors: Saputra Yogi , Nurpajriah Ela Siti , Kustinah Siti , Putri Novianti Indah 
Published: December 2023

The pace of information technology growth in the modern day is so rapid that financial fraud has now spread to renewable technologies. The only approach to guarantee future financial security is to invest. However, the vast array of investment options—including stocks, gold, and other investments—often makes it difficult for people to make the best decision. Many millennials are still apprehensive about investing. This results from a lack of understanding about effective investing. A machine learning information system is necessary to assist in the selection of investment products in order to boost the community's and millennials' interest in investing. The Markowitz and K-Nearest Neighbor algorithms were used in the system's construction. Finding recommendations for investment portfolios that match the risk profile can be aided using the K-Nearest Neighbor approach, which is a machine learning technique. Based on a comparison of the sharpe ratio findings from system calculations and manual calculations, the accuracy level of the Markowitz and KNN approaches, which was set at 99.15%, was established.
The Effectiveness of Orai Application in Teaching Reading Aloud
Authors: Kusumah Cita Mustika , Maulidia Humaira Restu 
Published: December 2023

Students often get nervous when they have to speak up in English in front of people. This situation also happens in reading aloud subjects at one of the private universities in Bandung. Most of the students are not confident to do public speaking in English. It is related to the students’ pronunciation, intonation, pace, and filler. In line with technological development, the Orai application can be an alternative way of teaching reading aloud. This research focuses on how the Orai application can help the students to be able to speak in English confidently and loudly in the class. This research employed a quantitative design by using classroom action research (CAR). The data collections of the research were pre-test, post-test, and questionnaire. The result of the study shows that the Orai application improved student performances in reading aloud subjects.
An aptamer and Au/Si CCA based SERS sensor for ultra-sensitive detection of Vimentin during EMT in gastric cancer
Authors: Cheng Lingling , Xu Jianlin , Yuan Hua , Zhao Qihao , Yue Wei , Ma Shuang , Lu Weimin 
Published: December 2023

Introduction: In this study, a surface-enhanced Raman scattering (SERS) sensor based on a functionalized Au/Si cap-cone array (Au/Si CCA) was constructed using the identity-release strategy to detect Vimentin changes during epithelial-mesenchymal transition (EMT) in gastric cancer (GC).Methods: The periodic structure of Au/Si CCA, which can form “hot spots” with high density and regular arrangement, is a substrate with excellent performance. Au/Si CCA was functionalized with aptamers as the capture substrate, and Au nanocubes (AuNCs) were modified with 5-carboxyfluorescein (5-FAM) labelled complementary strand as SERS probe. The capture substrate and SERS probe were assembled by hybridization, and the SERS signal intensity of 5-FAM was greatly enhanced. The binding of Vimentin to the aptamer resulted in a broken connection between the SERS sensor Au/Si CCA array and AuNCs, which resulted in a decrease in the signal intensity of 5-FAM. The identity-release strategy requires only a simple step of reaction to achieve rapid detection of target proteins, which has clinical practicability.Results: Using this protocol, the concentration of Vimentin in GES-1 cells could be successfully detected, and the detection limit was as low as 4.92 pg/mL. Biological experiments of Vincristine, Oncovin (VCR)-treated GES-1 cells effectively mimicked the EMT process, and Vimentin changes during EMT could be accurately detected by this method.Discussion: This study provides a selective, ultra-sensitive and accurate assay for Vimentin detection, which may provide a means for the future detection of EMT process in GC.
Fast but transient recovery of aquatic and terrestrial communities after a large dam removal
Authors: Dézerald Olivier , Roussel Jean-Marc , Lanoë Elven , Beauverger Thibaut , Bazin Alan , Rodríguez-Pérez Héctor , Dufour Simon , Bernez Ivan , Piscart Christophe 
Published: December 2023

IntroductionEcological restoration through dam removals receives increasing attention from scientists, environmental managers and policy makers. However, most dam removal projects focus on small structures (&lt; 10 m in height) and on few ecosystem compartments at a time (e.g. river morphology, reservoir sedimentation, aquatic invertebrates, terrestrial vegetation), but rarely aquatic and riparian ecosystems simultaneously.MethodsWe explored the joint taxonomic recovery (temporal patterns in α- and β-diversity) of three communities after the removal of the Vezins dam (36 m in height; Sélune River, France): aquatic benthic invertebrates, riparian invertebrates, and the riparian vegetation. These communities were monitored yearly, during three years after the dam removal, on sites located within (n = 3; restored sites) and outside (n = 3; two upstream and one downstream; non-impounded sites) the former reservoir.ResultsResults showed a fast recovery of the three ecological communities, as patterns in α-diversity between restored and non-impounded sites were not necessarily different from each other 1.5 years after complete reservoir dewatering. The mean number of species or morphospecies (± standard deviation) reached up to 28.2 ± 5.2, 17.0 ± 2.3 and 77.5 ± 11.2 for the aquatic invertebrates, and the riparian vegetation and invertebrates, respectively. Relative to the sampled area, the riparian invertebrates were the most diversified of all ecological communities with &gt; 500 taxa (i.e., pooling all sites and years). In addition, in some restored sites, α-diversity kept increasing over time while species turnover (β-diversity) remained high after three years for all ecological communities suggesting a transient recovery (i.e., still facing temporal changes in species diversity and composition). This recovery was mediated by the identity of the ecological community as inter-annual changes in α- and β-diversity of the riparian vegetation were less pronounced compared to those of aquatic and terrestrial invertebrates. This recovery depended also on site-specific features as the most distant restored site from the former dam had more time for recovery following the slow reservoir dewatering and through increased sedimentation in the downstream site.DiscussionDifferential patterns of recovery in α- and β-diversity found in this study are discussed in light of species functional traits and ecosystem functioning.
The impact of a blended multidisciplinary training for the management of obstetric haemorrhage in Mbeya, Tanzania
Authors: Mbwele Bernard , Twaha Amani , Maksym Kasia , Caputo Matthew , Mkenda Delfina D. , Halpern Helen , Berney Sylvia , Kaminyoge Elias A. , Kaminyoge Mpoki S. , Kaler Mandeep , Sobhy Soha , Hillman Sara L. 
Published: December 2023

BackgroundThe Maternal Mortality Rate (MMR) in Tanzania is 78 times higher than that of the UK. Obstetric haemorrhage accounts for two-thirds of these deaths in Mbeya, Tanzania. A lack of healthcare providers' (HCPs') competencies has been the key attribute. This study measured the impact on HCP's competencies from a blended training programme on obstetric haemorrhage.MethodsA “before and after” cohort study was undertaken with HCPs in 4 hospitals in the Mbeya region of Tanzania between August 2021 and April 2022. A multidisciplinary cohort of 34 HCPs (doctors, nurses, midwives, anaesthetists and radiologists) were enrolled on a blended face-to-face and virtual training course. The training was delivered by a multidisciplinary team (MDT) from London, UK, assisted by local multidisciplinary trainers from Mbeya, Tanzania and covered anaesthetic, obstetrics, haematology and sonographic use.ResultsThere were 33 HCP in the cohort of trainees where 30/33 (90.9%) of HCPs improved their Anaesthesia skills with a mean score improvement of 26% i.e., 0.26 (−0.009 −0.50), 23 HCPs (69.7%) improved obstetric skills 18% i.e., 0.18 (−0.16 to 0.50), 19 (57.6%), (57.6%) improved competences in Haematology 15%.i.e., 0.15 (−0.33 to 0.87), 20 out of 29 HCPs with ultrasound access (68.8%) improved Sonographic skills 13%.i.e., 0.13 (−0.31 to 0.54). All 33 HCPs (100%) presented a combined change with the mean score improvement of difference of 25% i.e., 0.25 (0.05–0.66). The deaths attributed to obstetric haemorrhage, the mortality rate declined from 76/100,000 to 21/100,000 live births. Actual number of deaths due to obstetric haemorrhage declined from 8 before training to 3 after the completion of the training.ConclusionThis comprehensive blended training on anaesthetic surgical, haematological, and sonographic management of obstetric haemorrhage delivers a significant positive impact on the detection, management and outcomes of obstetric haemorrhage.
Artificial intelligence-based spatio-temporal vision sensors: applications and prospects
Authors: Li Zhixue , Sun Hongwei 
Published: December 2023

Introduction: Advances in machine vision and mobile electronics will be accelerated by the creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture recognition of visual information and data pre-processing. Several new types of vision sensors have been devised in the last decade to solve these drawbacks, one of which is neuromorphic vision sensors, which have exciting qualities such as high temporal resolution, broad dynamic range, and low energy consumption. Neuromorphic sensors are inspired by the working principles of biological sensory neurons and would be useful in telemedicine, health surveillance, security monitoring, automatic driving, intelligent robots, and other applications of the Internet of Things.Methods: This paper provides a comprehensive review of various state-of-the-art AI vision sensors and frameworks.Results: The fundamental signal processing techniques deployed and the associated challenges were discussed.Discussion: Finally, the role of vision sensors in computer vision is also discussed.
The nitrogen-dependent GABA pathway of tomato provides resistance to a globally invasive fruit fly
Authors: Li Hao , Zhang Yuan , Li Hu , V. P. Reddy Gadi , Li Zhihong , Chen Fajun , Sun Yucheng , Zhao Zihua 
Published: December 2023

IntroductionThe primary metabolism of plants, which is mediated by nitrogen, is closely related to the defense response to insect herbivores.MethodsAn experimental system was established to examine how nitrogen mediated tomato resistance to an insect herbivore, the oriental fruit fly (Bactrocera dorsalis). All tomatoes were randomly assigned to the suitable nitrogen (control, CK) treatment, nitrogen excess (NE) treatment and nitrogen deficiency (ND) treatment.ResultsWe found that nitrogen excess significantly increased the aboveground biomass of tomato and increased the pupal biomass of B. dorsalis. Metabolome analysis showed that nitrogen excess promoted the biosynthesis of amino acids in healthy fruits, including γ-aminobutyric acid (GABA), arginine and asparagine. GABA was not a differential metabolite induced by injury by B. dorsalis under nitrogen excess, but it was significantly induced in infested fruits at appropriate nitrogen levels. GABA supplementation not only increased the aboveground biomass of plants but also improved the defensive response of tomato.DiscussionThe biosynthesis of GABA in tomato is a resistance response to feeding by B. dorsalis in appropriate nitrogen, whereas nitrogen excess facilitates the pupal weight of B. dorsalis by inhibiting synthesis of the GABA pathway. This study concluded that excess nitrogen inhibits tomato defenses in plant-insect interactions by inhibiting GABA synthesis, answering some unresolved questions about the nitrogen-dependent GABA resistance pathway to herbivores.
Genetic architecture of adult-plant resistance to stripe rust in bread wheat (Triticum aestivum L.) association panel
Authors: Atsbeha Genet , Mekonnen Tilahun , Kebede Mulugeta , Haileselassie Teklehaimanot , Goodwin Stephen B. , Tesfaye Kassahun 
Published: December 2023

Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a severe disease in wheat worldwide, including Ethiopia, causing up to 100% wheat yield loss in the worst season. The use of resistant cultivars is considered to be the most effective and durable management technique for controlling the disease. Therefore, the present study targeted the genetic architecture of adult plant resistance to yellow rust in 178 wheat association panels. The panel was phenotyped for yellow rust adult-plant resistance at three locations. Phonological, yield, yield-related, and agro-morphological traits were recorded. The association panel was fingerprinted using the genotyping-by-sequencing (GBS) platform, and a total of 6,788 polymorphic single nucleotide polymorphisms (SNPs) were used for genome-wide association analysis to identify effective yellow rust resistance genes. The marker-trait association analysis was conducted using the Genome Association and Prediction Integrated Tool (GAPIT). The broad-sense heritability for the considered traits ranged from 74.52% to 88.64%, implying the presence of promising yellow rust resistance alleles in the association panel that could be deployed to improve wheat resistance to the disease. The overall linkage disequilibrium (LD) declined within an average physical distance of 31.44 Mbp at r2 = 0.2. Marker-trait association (MTA) analysis identified 148 loci significantly (p = 0.001) associated with yellow rust adult-plant resistance. Most of the detected resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance and mapped on chromosomes 1A, 1B, 1D, 2A, 2B, 2D, 3A, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6A, 6B, 7A, and 7D. However, 12 of the discovered MTAs were not previously documented in the wheat literature, suggesting that they could represent novel loci for stripe rust resistance. Zooming into the QTL regions in IWGSC RefSeq Annotation v1 identified crucial disease resistance-associated genes that are key in plants’ defense mechanisms against pathogen infections. The detected QTLs will be helpful for marker-assisted breeding of wheat to increase resistance to stripe rust. Generally, the present study identified putative QTLs for field resistance to yellow rust and some important agronomic traits. Most of the discovered QTLs have been reported previously, indicating the potential to improve wheat resistance to yellow rust by deploying the QTLs discovered by marker-assisted selection.