bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness Of Using Digital Storytelling Video In Teaching Speaking At SMK Telkom Banjarbaru
Authors: Ratnasari Sri Endang 
Published: August 2023

The efficiency of using a Digital Storytelling film in the classroom to teach speaking skills by means of question-and-answer sessions was evaluated at the eleventh SMK Telkom Banjarbaru.The purpose of this study is to investigate whether or not the use of digital story telling video is beneficial in enhancing the students' ability to communicate orally.
The researcher used a purposive sampling method and took only class X the sample of the research which consisted of 37 students. In addition, the researcher applied an instrument of this research namely oral test. In pre-test and post-test, the researcher gave the topics through digital storytelling video to stimulate the students to speak in their daily activity. In pre-test and post-test, one by one of the students asked to speak face to face with the researcher in the class. After pre-test, the researcher applied a media of teaching as a treatment then the result of post-test was compared with the result of the student’s pre-test and find out the improvement of the students‟ speaking ability.
The findings of the data analysis revealed that the mean score on pre-tests was 3.45, while the mean score on post-tests was 4.54. These findings were based on the fact that the pre-tests were administered before the post-tests. It was discovered that the result of the t-test was 10.33, which was higher than the value of the t-table, which was 1.688. The level of significance that was used was 0.05, and the degree of freedom (df) that was used was 37-1, which equaled 36. That the alternative hypothesis was accepted while the null hypothesis was rejected was the implication of this.
Analisis Kesulitan Pembelajaran Tematik Pada Peserta Didik Kelas IV-B SDN 4 Menteng Palangka Raya
Authors: Alhikmah Alhikmah , Riadin Agung 
Published: August 2023

Penelitian ini bertujuan untuk menganalisis kesulitan pembelajaran tematik pada peserta didik kelas IV-B SDN 4 Menteng Palangka Raya.
Metode yang di gunakan dalam penelitian ini adalah metode kualitatif. Teknik pengumpulan data yang di gunakan adalah observasi, wawancara dan dokumentasi. Hasil penelitian mengungkapkan peserta didik mengalami kesulitan belajar tematik dikarenakan peserta didik mengalami kesulitan dalam pembelajaraan yang dilaksanakan di dalam kelas.
Hasil penelitian menunjukan bahwa kesulitan belajar yang dialami peserta didik yaitu kesulitan dalam pembelajaran tematik yaitu kebingungan dalam perpindahan mata pelajaran, nilai hasil belajar rendah, mengganggu teman saat pembelajaran berlangsung, tidak fokus, tidak memahami materi kurang konsentrasi, dan di rumah lebih banyak bermain handphone.
Pengaruh Pemberian Pupuk Kandang Dan Pupuk Tsp Terhadap Pertumbuhan Kemiri (Aleurientis Moluccana Wild) Pada Tanah Aluvial
Authors: Tangkasiang Yos Andi 
Published: August 2023

Pengaruh Pupuk kandang dan pupuk TSP Terhadap Pertumbuhan Kemiri (Aleurintes moluccana Wild) Pada Tanah Aluvial, penelitian ini dilaksanakan selama tiga bulan, yaitu pada bulan Pebruari 2019 sampai dengan April 2019 di Desa Tangkiling, bertujuan untuk mengetahui pengaruh pemberian pupuk kandang (kotoran sapi) dan pupuk TSP terhadap pertumbuhan kemiri (Aleurintes moluccana Wild). Perlakuan yang diteliti adalah pupuk kandang dengan dosis 0; 0,3; 0,6; 0,9 kg/tumbuhan dan pupuk TSP 0; 4; 8; 12 gram/tumbuhan. Percobaan menggunakan Rancangan Acak Kelompok (RAK) dengan 3 (tiga) kali pengulangan. Berdasarkan pada hasil penelitian yang telah dilakukan di dapatkan hasil bahwa secara interaksi maupun secara tunggal pengaruh dari pupuk kandang dan pupuk TSP memberikan hasil yang nyata terhadap pertambahan tinggi tanaman. Pupuk kandang dan pupuk TSP tidak memperlihatkan perbedaan yang nyata terhadap pertambahan diameter batang dan jumlah daun. Kombinasi perlakuan terbaik adalah pupuk kandang dengan dosis 0,6 kg / tanaman dan 8 gram pupuk TSP / tanaman (K T ), rata – rata pertambahan tinggi tanaman yang terbesar, yaitu (17,08 cm). Pengaruh tunggal (pupuk kandang), didapatkan pada dosis 0,6 kg / tanaman (K ) dengan rata – rata pertambahan tinggi tanaman sebesar (14,88 cm). Dengan demikian penanaman kemiri agar didapatkan pertumbuhan yang baik dan maksimal khususnya pada tanah Aluvial perlu diikuti dengan pemupukan dan pemeliharaan, terutama pada tahap – tahap pertumbuhan awalnya, pemeliharaan dalam hal ini juga termasuk pembersihan dari tumbuhan pengganggu / gulma dll.
Budidaya Cabai Merah menggunakan JAKABA di Lahan Podsolik
Authors: Norliyani Anisa , Santi Maulida , Huda Jannatul , Mahdiannoor Mahdiannoor 
Published: August 2023

Cabai merah termasuk ke dalam kelompok sayuran unggulan nasional yang menjadi perhatian pemerintah Indonesia saat ini. Kendala yang sering terjadi pada budidaya cabai diantaranya, penggunaan pupuk yang kurang tepat dan banyaknya tanah yang bersifat marginal. Salah satu tanah yang bermasalah adalah tanah podsolik. Tanah podsolik memiliki kandungan hara yang rendah. Pemberian unsur hara yang dapat digunakan untuk meningkatkan unsur hara pada tanah adalah JAKABA yang dibuat dari hasil peraman air limbah cucian beras atau yang disebut dengan air leri. Tujuan penelitian (i) menentukan pengaruh pemberian JAKABA pada budidaya cabai merah di lahan podsolik, (ii) menentukan konsentrasi terbaik pemberian JAKABA pada budidaya cabai merah di lahan podsolik. Penelitian dilaksanakan di Desa Sumanggi Seberang Kecamatan Batang Alai Utara Kabupaten Hulu Sungai Tengah Provinsi Kalimantan Selatan bulan Juni-September 2022. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK), faktor yang diuji adalah konsentrasi JAKABA sebanyak 5 taraf, yang terdiri dari p1 = 0 ml/l per petak; p2 = 100 ml/l per petak; p3 = 300 ml/l per petak; p4 = 500 ml/l per petak dan p5 = 700 ml/l per petak. Pemberian JAKABA pada tanaman cabai merah di lahan podsolik tidak berpengaruh terhadap semua variabel pengamatan.
Water Quality of the Barito River Stream Murung Raya Regency The Impact of Gold Mining on Agricultural Activities
Authors: Fery Andrie Natallius , Susanto Agus , Sulistyowati Lilik 
Published: August 2023

Limbah kegiatan penambangan liar yang tidak diolah dahulu akan mengakibatkan pencemaran badan air sehingga berdampak pada kualitas air. Mengatasi permasalahan air menjadi kebutuhan segera dan memerlukan kajian dari berbagai penelitian sebagai solusi menghasilkan kebijakan yang sejalan SDGs (Sustainable Development Goals.) Sungai Barito menunjukkan keadaan kurang menunjang sebagai sumber air baku air minum, parameter fisik air seperti pH dan TSS masih di bawah baku mutu kelas II (salah satu peruntukkan kegiatan pertanian), tetapi belum ada data parameter Merkuri, Arsen, Kadmium, Nikel, Seng, Tembaga, Timbal dan Kromium heksavalen yang menunjukkan dampak merugikan dari pertambangan emas skala kecil. Sehingga perlu dilakukan penelitian kualitas air Sungai Barito Kabupaten Murung Raya. Tujuan Penelitian untuk menganalisa kualitas air sungai dan status pencemaran dampak dari pertambangan emas di aliran sungai Barito Kabupaten Murung Raya. Jenis penelitian deskriptif kuantitatif, sampel air sungai diambil dari 4 lokasi berdasarkan parameter Keputusan Menteri Negara Lingkungan Hidup Nomor 202 Tahun 2004 tentang Baku Mutu Air Limbah bagi Kegiatan Penambangan Bijih Emas/Tembaga, kemudian dianalisis dengan menggunakan metode STORET untuk status kualitas air berdasarkan PP no.22 tahun 2021. Hasil analisis kualitas air aliran sungai Barito Kabupaten Murung Raya dari kadar Timbal, TSS, Seng melebihi baku mutu air kelas II PP No. 22 Tahun 2021 pada 4 titik pantau. Status pencemaran air aliran sungai Barito Kabupaten Murung Raya hasil Metode STORET rata-rata skor -43,5 kondisi tercemar berat. Kesimpulan hasil studi menunjukkan kondisi air sungai aliran sungai Barito Kabupaten Murung Raya mengalami pencemaran dan tidak memenuhi baku mutu air kelas II salah satunya untuk kegiatan pertanian.
Pertumbuhan Dan Hasil Bawang Merah (Allium Ascalonicum L.) Akibat Pemberian Kompos Limbah Pasar Tradisional Dan Pupuk Npk Pada Tanah Spodosol
Authors: Aritonang Daniel , Zubaidah Siti , Atikah Titin Apung 
Published: August 2023

The aims of this study was to determined the effect of aplication waste compost traditional market and NPK to growth and yield of shallots (Allium ascalonicum L.) in the spodosols. This research was yield out in November 2018 until January 2019, at the installation of experimental garden of Agriculture, Faculty of Agriculture, University of Palangkaraya. This study used a Completely Randomized Design (CRD) which consist two factors, processing waste compost traditional market was K0 = 0 tons / ha (Control), K1 = 5 tons / ha, K2 = 10 tons / ha, K3 = 15 tons / ha and NPK treatment was, P0 = 0 kg / ha (Control), P1 = 300 kg / ha, P2 = 400 kg / ha. Each treatment was repeated 3 (three) replications to obtain 36 experimental units. To determined the effect of the treatment given to the yield of the observation, an analysis was carried out. If there was a real influenced from the yield of the analysis, then it will be continued with the BNJ test at the level of ɑ 5%. The yield of the average number of shallot tillers indicate that the combination of distribution waste compost traditional market (K) and NPK (P) with K3P1 treatment (15 tons / ha and 300 kg / ha) was the best combination of variable number of tillers 12,33. The aplication waste compost traditional market at a dose of 10 tons/ha able to increased plant height while 48,16 cm. Dose of 15 tons/ha able to increased number of tillers 9,56, fresh weight 91,80 g and dry tuber weight 53,73 g. While granting NPK at a dose of 400 kg/ha able to increased fresh weight 87,14 g, and dry tuber weight on shallots 49,49 g.
Analisis Pengaruh Jenis Papan, Berat Labur Perekat Dan Interaksinya Terhadap Sifat Fisika Dan Mekanika Papan Laminasi
Authors: Wulandari Febriana Tri , Lestari Dini , Dewi Ni Putu Ety Lismaya 
Published: August 2023

Peneliti ingin melihat apakah akan terjadi peningkatan kekuatan setelah kayu sengon dan bambu dikombinasikan menjadi papan laminasi. Jenis bambu yang akan digunakan untuk dijadikan bambu laminasi dalam penelitian ini adalah bambu petung (Dendrocalamus asper.Backer). Bambu petung dipilih karena memiliki diameter yang dapat mencapai 20 cm dengan tebal dinding antara 1-3 cm sehingga cocok digunakan menjadi bambu laminasi (Wulandari et.al, 2022). Kayu sengon (Paraserianthes falcataria) memiliki berat jenisnya 0,33 termasuk berat jenis ringan (0,29- 0,56) dengan kelas kuat III-IV (Sari, 2011). Tujuan dari penelitian ini mengetahui pengaruh jenis papan laminasi kayu sengon dan kombinasi kayu sengon bambu petung, pengaruh berat labur dan interaksi jenis papan laminasi dan berat labur terhadap sifat fisika dan mekanika serta kelas kuat papan laminasi yang dihasilkan. Metode yang digunakan dalam penelitian menggunakan metode eksperimen dengan rancangan percobaan Rancangan Acak Lengkap (RAL) faktorial denga 2 faktor dan 4 perlakuan dengan 3 ulangan. Berat labur berpengaruh nyata terhadap kadar air, MoR dan tidak berpengaruh nyata terhadap kerapatan, pengembangang tebal, penyusutan tebal, MoE. Jenis papan laminasi berpengaruh nyata terhadap kerapatan, kadar air, pengembangan tebal, penyusutan tebal. MoE dan tidak berpengaruh nyata terhadap MoR. Interaksi jenis papan laminasi dengan berat labur berpengaruh nyata terhadap kerapatan dan tidak berpengaruh nyata terhadap kadar air, pengembangan tebal, penyusutan tebal, MoE, MoR. Berdasarkan nilai sifat fisika dan mekanika maka papan laminasi jenis S1 (kombinasi sengon bambu petung) masuk kelas kuat III yang dapat digunakan untuk keperluan konstruksi-konstruksi berat terlindung dan papan laminasi jenis S2 (sengon) masuk kelas kuat IV dapat digunakan untuk keperluan konstruksi ringan yang terlindung.
Machine Learning Techniques for Analyzing Survival Data of Breast Cancer Patients in Baghdad
Authors: Ayad Mohammed Noor , Arebe Fadam Entsar 
Published: August 2023

The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal component algorithm, The second kernel principal component algorithm, and The last is the faster ICA algorithm. Then the important features extracted in the three algorithms for features extraction will be entered into machine learning algorithms: The first K nearest neighbor algorithm, The second survival tree algorithm (or regression tree), and the last random survival forests algorithm.
Two criteria for comparing the best models to estimate survival have relied on the MSE and the C-Index. The best model for estimating and predicting survival is the use of the fastest ICA algorithm with the random survival forest algorithm that gave the lowest amount to MSE and the highest value to the C-Index. Accordingly, we recommend doctors and medical professionals in Iraq adopt this model to estimate survival for patients with breast cancer.
Fuzzy Structural Analysis Using Improved Jaya-based Optimization Approach
Authors: Pham Hoang-Anh , Nguyen Ba-Duan 
Published: August 2023

A new approach to performing the α-level optimization in the fuzzy analysis of structural systems is developed in this study. The method uses a simple global optimizer, the Jaya algorithm, together with an innovative dimension reduction technique. The dimension reduction technique aims to transform the original large α-level optimization problem into a low-dimension one by making use of the monotonic behavior of the system output with respect to the input variables. Then, the Jaya algorithm is applied to solve the reduced max/min α-level optimization problems to determine the bounds of the fuzzy output. Two numerical examples, including a 2D truss and a 3D truss, with a relatively large number of fuzzy input variables are analyzed and the fuzzy displacements under static loads are predicted. It is demonstrated that the proposed approach can save a significant computational amount and also estimate the fuzzy displacement with high accuracy.
Digital Disruption in Healthcare and its Impact on Laboratory Services
Authors: Badrick Tony , Loh Tze Ping 
Published: August 2023

Clinical laboratories provide critical information for the diagnosis and management of disease and receive and send data to multiple sites every day. Laboratories are knowledge managers. We shall discuss digitalisation and disruption. Digitalisation is the act of changing business processes through the use of digital technology. Disruption is a radical change to an existing industry; examples include Uber, Waze and Airbnb. In the case of digital disruption, the enablers include advancement in mobile consumer technology, sensor technology, increasing consumer familiarisation and acceptance of digital platform and mobile technology, electronic payment technology and internet availability and stability. We reviewed these concepts in healthcare, where consumers can reach out to healthcare professionals as and when required, using the power of technology and the internet. This concept’s ‘triple aim’ is a medical system that delivers high quality, accessible, and low-cost healthcare. Barriers to healthcare digital disruption include privacy, personal data protection, cybersecurity, medico-legal liability, licensing, costs, regulations, limits of non-touch consultation (lack of physical examination), and the reluctance of clinical professionals to be involved. In laboratory medicine, there are many examples of digitalisation including some that meet the definition of disruption including mobile phlebotomists, mobile point-of-care laboratories and home testing. Digital disruption has been a disrupter in many areas. There are many areas in laboratory medicine where digital disruption will occur such as electronic medical records, mobile phones, and wearables. The impact may be significant.
Herdsmen and Farmers Crisis in Ekiti State, 2014 - 2018: An Interrogation
Authors: Lateef Oluwafemi Buhari  , Michael Ediagbonya  
Published: August 2023

This study examined the farmer and herder crisis in Ekiti State between 2014 and 2018. The research also traced the history of the Fulani in the State. A retrospect and review of the facts was made, in order that scholars would have an insight on perceptions as well as the strategic challenges that brought to fore the crisis.The study relied on documentary data. The documentary data were sourced from newspapers, journal papers, internet sources and correspondence. The documentary was subjected to internal and external criticism for authentication, and then to textual and contextual analyses. It also complimented the secondary data with few primary data, from unprinted sources.The research identified the influence of climate on the crisis.
Fabrication of polycaprolactone electrospun fibres with retinyl acetate for antioxidant delivery in a ROS-mimicking environment
Authors: Westwood Lorna , Emmerson Elaine , Callanan Anthony 
Published: August 2023

Background: Increased cancer rates denote that one in two people will be diagnosed with cancer in their lifetime. Over 60% of cancer patients receive radiotherapy, either as a stand-alone treatment or in combination with other treatments such as chemotherapy and surgery. Whilst radiotherapy is effective in destroying cancer cells, it also causes subsequent damage to healthy cells and surrounding tissue due to alterations in the tumor microenvironment and an increase in reactive oxygen species (ROS). This can cause extensive damage that impairs tissue function, and the likelihood of tissue regeneration and restoration of function is significantly reduced as new healthy cells cannot survive in the damaged environment. In the treatment of head and neck cancers, radiotherapy can cause salivary gland dysfunction. This significantly impairs the patient’s quality of life and there is currently no cure, only palliative treatment options. Tissue engineering approaches are used to mimic the microenvironment of the tissue and can mediate the damaged microenvironment via bioactive compounds, to support the delivery, survival, and proliferation of new, healthy cells into the damaged environment.Methods: In this study, retinyl acetate, a derivative of vitamin A, was successfully incorporated into electrospun polycaprolactone fibres.Results: SEM images and characterization analyses showed that all scaffolds produced had similar characteristics, including fiber morphology and scaffold wettability. The vitamin scaffolds were shown to exert an antioxidant effect through scavenging activity of both DPPH and hydroxyl radicals in vitro. Critically, the antioxidant scaffolds supported the growth of human submandibular gland cells and significantly upregulated the expression of GPx1, an antioxidant enzyme, when cultured under both normal conditions and under a simulated oxidative stress environment.Discussion: These results suggest that incorporation of retinyl acetate into electrospun fibres has may mediate the damaged microenvironment post cancer radiation therapy.
Postoperative delirium is a risk factor of institutionalization after hip fracture: an observational cohort study
Authors: Labaste François , Delort François , Ferré Fabrice , Bounes Fanny , Reina Nicolas , Valet Philippe , Dray Cédric , Minville Vincent 
Published: August 2023

IntroductionHip fracture is a common clinical problem in geriatric patients often associated with poor postoperative outcomes. Postoperative delirium (POD) and postoperative neurocognitive disorders (NCDs) are particularly frequent. The consequences of these disorders on postoperative recovery and autonomy are not fully described. The aim of this study was to determine the role of POD and NCDs on the need for institutionalization at 3 months after hip fracture surgery.MethodA population-based prospective cohort study was conducted on hip fracture patients between March 2016 and March 2018. The baseline interview, which included a Mini-Mental State Examination (MMSE), was conducted in the hospital after admission for hip fracture. NCDs were appreciated by MMSE scoring evolution (difference between preoperative MMSE and MMSE at day 5 &gt;2 points). POD was evaluated using the Confusion Assessment Method. The primary endpoint was the rate of new institutionalization at 3 months. We used a multivariate analysis to assess the risk of new institutionalization.ResultsA total of 63 patients were included. Thirteen patients (20.6%) were newly institutionalized at 3 months. Two factors were significantly associated with the risk of postoperative institutionalization at 3 months: POD (OR = 5.23; 95% CI 1.1–27.04; p = 0.04) and IADL evolution (OR = 1.8; 95% CI 1.23–2.74; p = 0.003).ConclusionOnly POD but not NCDs was associated with the risk of dependency and institutionalization after hip fracture surgery. The prevention of POD appears to be essential for improving patient outcomes and optimizing the potential for returning home.
Bioinformatics analysis of potential common pathogenic mechanism for carotid atherosclerosis and Parkinson’s disease
Authors: Wang Quan , Xue Qun 
Published: August 2023

BackgroundCerebrovascular disease (CVD) related to atherosclerosis and Parkinson’s disease (PD) are two prevalent neurological disorders. They share common risk factors and frequently occur together. The aim of this study is to investigate the association between atherosclerosis and PD using genetic databases to gain a comprehensive understanding of underlying biological mechanisms.MethodsThe gene expression profiles of atherosclerosis (GSE28829 and GSE100927) and PD (GSE7621 and GSE49036) were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) for these two disorders, we constructed protein-protein interaction (PPI) networks and functional modules, and further identified hub genes using Least Absolute Shrinkage and Selection Operator (LASSO) regression. The diagnostic effectiveness of these hub genes was evaluated using Receiver Operator Characteristic Curve (ROC) analysis. Furthermore, we used single sample gene set enrichment analysis (ssGSEA) to analyze immune cell infiltration and explored the association of the identified hub genes with infiltrating immune cells through Spearman’s rank correlation analysis in R software.ResultsA total of 50 shared DEGs, with 36 up-regulated and 14 down-regulated genes, were identified through the intersection of DEGs of atherosclerosis and PD. Using LASSO regression, we identified six hub genes, namely C1QB, CD53, LY96, P2RX7, C3, and TNFSF13B, in the lambda.min model, and CD14, C1QB, CD53, P2RX7, C3, and TNFSF13B in the lambda.1se model. ROC analysis confirmed that both models had good diagnostic efficiency for atherosclerosis datasets GSE28829 (lambda.min AUC = 0.99, lambda.1se AUC = 0.986) and GSE100927 (lambda.min AUC = 0.922, lambda.1se AUC = 0.933), as well as for PD datasets GSE7621 (lambda.min AUC = 0.924, lambda.1se AUC = 0.944) and GSE49036 (lambda.min AUC = 0.894, lambda.1se AUC = 0.881). Furthermore, we found that activated B cells, effector memory CD8 + T cells, and macrophages were the shared correlated types of immune cells in both atherosclerosis and PD.ConclusionThis study provided new sights into shared molecular mechanisms between these two disorders. These common hub genes and infiltrating immune cells offer promising clues for further experimental studies to explore the common pathogenesis of these disorders.