bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pendampingan guru sekolah dasar dalam menciptakan hybrid learning yang menyenangkan di tengah recovery pendidikan pasca covid
Authors: Sumantri Syarif 
Published: December 2022

Hybrid learning adalah pembelajaran yang mengkombinasikan strategi penyempaian pembelajaran menggunakan kegiatan tatap muka, pembelajaran berbasis komputer (offline), dan komputer secara online (internet dan mobile learning). Hasil analisis lebih dalam tentang model pembelajaran hybrid yang diterapkan pada masa pandemi Covid-19 ini dapat digunakan sebagai bahan pertimbangan pengambilan kebijakan di masa depan. Dalam rangka meningkatkan kualitas hasil pembelajaran pasca covid, penulis akan mengadakan pengabdian masyarakat tentang pendampingan guru dalam mengembangkan hybrid learning yang menyenangkan bagi siswa Sekolah Dasar di tengah recovery pendidikan pasca covid. Pengabdian masyarakat ini akan diadakan di sekolah dasar wilayah Kecamatan Mande. Kegiatan ini bertujuan untuk memberikan solusi kepada sekolah mitra yang memiliki kesulitan dalam mengimplementasikan hybrid learning. Dengan adanya kegiatan pengabdian ini, diharapkan guru dapat mengembangkan hybrid learning yang menyenangkan bagi siswa Sekolah Dasar.Metode yang digunakan dalam workshop ini adalah focus grup discussion (FGD) dan partisipasi peserta dalam pelatihan. Langkah-langkah sebagai berikut 1) melakukan sosialisasi tentang pentingnya pemanfaatan media pembelajaran yang menarik, kompatible, praktis baik untuk guru maupun siswa 2) memberikan pengenalan cara pemanfaatan media pembelajaran berbasis digital di weeb secara gratis, 3) peserta secara kelompok membuat media berdasarkan aplikasi gratis di weeb, 4) Peserta mengunakan media pembelajaran berbasis digital yang cocok di Sekolah Dasar. Berdasarkan hasil evaluasi terhadap pelaksanaan workshop ini menunjukan respon positif dari guru SD sebesar 81% dan kepuasan pelaksanaan pelatihan sebesar 72%.
Hubungan Budaya Sekolah dengan Pro Environmental Behavior Siswa
Authors: Andzari Aisyah , Purwandari DA , Yuliani Shahibah 
Published: December 2022

Abstract
This study aims to obtain empirical data or facts that are actually true and reliable regarding the relationship between school culture and pro-environmental behavior in students. This research is motivated by the existence of a school culture that is useful for strengthening pro environmental behavior for students. The method used in this research is correlational quantitative method. The population used in this study were 351 grade 8 students of SMP Negeri 281 Jakarta, while the sample in this study amounted to 185 students. The research hypothesis was tested using Pearson Product Moment correlation analysis. The results of the analysis found that the school culture and students' pro environmental behavior were good. The results showed that there was a positive and strong relationship between school culture and pro environmental behavior among students of SMP Negeri 281 Jakarta.
The DEVELOPMENT PRINCIPLE OF A CONTEXTUAL BASED TEACHING BOOK ON ENVIRONMENTAL EDUCATION FOR PRIMARY SCHOOL TEACHERS
Authors: Saputri Aprilia Eki 
Published: December 2022

Tujuan penelitian ini adalah untuk mengungkap prinsip-prinsip yang dibutuhkan dalam pengembangan buku ajar PLH untuk Guru SD berbasis kontekstual. Terlaksanakannya penelitian ini sebagai sarana analisis kebutuhan di awal kegiatan pengembangan buku ajar untuk Mata Kuliah PLH. Penelitian ini menggunakan pendekatan kualitatif sebagai kerangka utamanya. Data dalam penelitian ini diambil menggunakan triangulasi teknik yaitu: studi dokumentasi, observasi, dan wawancara. Triangulasi teknik tersebut sekaligus untuk menjaga kevalidan data yang diperoleh. Analisis data diakukan secara kualitatif melalui proses reduksi, display, verifikasi, dan pengambilan kesimpulan. Hasil penelitian ini menyatakan bahwa terdapat tujuh buah prinsip yang dibutuhkan dalam pengembangan buku ajar PLH berbasis kontekstual. Prinsip-prinsip tersebut adalah: prinsip pembelajaran berbasis masalah; problem solving; berbasis HOTS; kemandirian belajar; literasi kritis; siswa aktif; situasi didaktis dan situasi pedagogis; serta reflektif. Dengan menggunakan ketujuh prinsip tersebut diharapkan agar mahasiswa dan atau guru SD yang menggunakan buku tersebut dapat belajar secara mandiri berdasarkan permasalahan lingkungan yang kontekstual, menganalisis penyebab, mampu memberikan solusi, serta melakukan perbaikan dan penjagaan lingkungan hidup sesuai dengan kondisi lingkungan yang ideal. Berdasarkan hasil penelitian ini, dapat dilakukan studi lanjutan dengan mengembangkan bahan ajar sesuai dengan prinsip-prinsip di atas. Buku ajar yang dikembangkan dapat berupa buku ajar cetak maupun noncetak atau berbasis multimedia agar dapat digunakan dalam pembelajaran jarak jauh (PJJ) atau secara daring sekalipun untuk memenuhi kebutuhan belajar pada masa pandemik seperti sekarang ini.
Complex Late Triassic-Middle Jurassic Subduction-Related Magmatic History from Detritus of Nominal Middle Jurassic Brooks Range Ophiolite, Northern Alaska
Authors: Fredriksson Charlotte , Pease Victoria 
Published: December 2022

AbstractIn northern Alaska, the Early Cretaceous sedimentary Yukon-Koyukuk basin documents the progressive unroofing of the adjacent Brooks Range orogen. Igneous clasts in the lower conglomerate are believed to originate from ophiolitic rocks of the two uppermost allochthons in the Brooks Range, the Brooks Range ophiolite and the Angayucham terrane. The emplacement of these oceanic terranes onto the continental margin of the Arctic Alaska terrane documents the initiation of Brookian orogenesis. While most agree that the Angayucham terrane represents a widespread distribution of Late Devonian oceanic crust and Triassic-Early Jurassic oceanic plateau(s)/island(s), the age and origin of the Brooks Range ophiolite remains controversial. We present new age, whole-rock chemistry, and isotopic data from igneous clasts as well as a few Angayucham terrane outcrop samples from the NE Yukon-Koyukuk basin. Our results show that the igneous clasts are mostly subduction-related and more likely to represent eroded material from the Brooks Range ophiolite rather than the Angayucham terrane. Our Late Triassic, and Early and Middle Jurassic zircon crystallization ages for the igneous clasts, combined with their immobile trace element compositions documenting various stages of oceanic subduction (mature arc and later rifting), suggest a long-lived subduction system that was active in the Late Triassic and throughout the Middle Jurassic. Radiogenic lead and neodymium isotopic results yield juvenile signatures for both the igneous clasts and the Angayucham terrane, pointing to their formation in an intraoceanic setting distal from the continental rocks and sediments of the Arctic Alaska terrane. These new data, combined with the published data of others, allow us to propose a revised tectonic model that integrates Late Triassic island arc formation with the tectonic development and emplacement of the Brooks Range ophiolite.
Impact of exposure to sunlight before consumption of packaged potable water (Sachet Water) in Calabar Metropolis, Cross River State, Southeastern Nigeria
Authors: Umoafia Nikita Elkanah , Edet Uwem Okon , Joseph Akaninyene Paul , Henshaw Okoroiwu Uchechi , Nkagafel Mbim Elizabeth , Obeten Honour , Edet Bassey Okon , Edet Asanga , Richard Ibor , Nwaokorie Francisca O. , Nkang Nkoyo , Nkang Ani 
Published: December 2022

Abstract
Background
Potable water have been shown to be a source of contamination due to poor handling during its supply chain process. It is common practice for sachet water, a widely consumed potable water across Nigerian and West African cities to be exposed to sunlight for hours daily before they are sold to consumers. This practice coupled with the polyethene plastic packaging could cause leaching of heavy metals and other chemical components of the plastic package into the sachet water, and also cause its biological quality to deteriorate posing great public health concerns which prompted this study.
Methods
Three (3) sachet water brands (n = 4 per brand) were collected and exposed to sunlight daily for 14, 28, and 48 days were analyzed for heavy metals, total hardness, and other physico-chemical parameters using standard protocols. In addition, we also evaluated total heterotrophic bacteria and coliform counts, and antibiotic susceptibility of resulting isolates.
Results
All brands of the exposed sachet water recorded increased levels of physico-chemical parameters (except pH) and heavy metals compared to the control group in a linear fashion to exposure time. Zn was the most ingested from sachet water brands. The ADD, HQ, and HI evaluations revealed that consuming these brands of sachet water exposed to different durations of sunlight could be expose consumers to Cr, Cd, Pb, As, and Ni toxicities. The CR of Cr, As, and Ni in all brands of the sachet water exposed to sunlight were above the safe value of 10− 4, indicating a likelihood of the population having cancer after over 60 years of exposure. Ni posed the highest carcinogenic risk in all sachet water brands exposed to sunlight for 42 days. All the brands evaluated failed to meet the World Health Organization and national safety limits for total heterotrophic bacteria and total coliform counts. Six out nine isolates elaborated extracellular amylase while all produced protease, enzymes linked with biofilm formation and pathogenicity, respectively. Furthermore, the isolates showed multi-drug resistance.
Conclusion
The potential health risk inherent in this practice has significant public health implications for the consumers across Nigeria and the West African region.
A qualitative study about Explanatory Models of alcohol use disorder among Ugandans
Authors: Rudenstrand Hanna , Bäärnhielm Sofie 
Published: December 2022

Abstract
Background
Alcohol use disorder (AUD) is a growing clinical problem in Uganda. The alcohol consumption is among the most voluminous worldwide. Explanatory models (EMs) of illness are important as they have consequences for treatment. Clinicians´ knowledge about patients´ EMs can improve understanding of the latter´s perspectives and adapting treatments. There is a lack of African studies about EMs of AUD. The aim of this study was to explore EMs for AUD among hospitalized patients and their relatives at the alcohol and drug unit (ADU) at Butabika hospital in Uganda.
Methods
An adapted version of the Explanatory Model Interview Catalogue (EMIC) was used for interviews with ten patients and five relatives to investigate how both hospitalized patients with AUD and their relatives understand the disease. Data were analysed for themes with a qualitative content analysis and support of the software program, OpenCode 4.03.
Results
Five major themes were identified from the patient interviews: “Context promotes AUD”; “Alcohol is part of culture”; “Spiritual causes of AUD in the community”; “Help through Western medicine and religious sources is preferred” and “Social problems and stigmatization”. Six major themes identified from the interviews with relatives were: “Numerous causes of drinking alcohol”; “Devastating consequences of drinking alcohol”; “Exploiting persons with AUD”; “Others’ suffering”; “Relatives struggling for help” and “Suggested solutions”.
Conclusions
Patients’ EMs of AUD included social and spiritual explanations. Alcohol is seen as an important part of the Ugandan culture among both patients and their relatives. The results indicate it is important in clinical contexts to investigate the EMs of the patients and relatives.
Knowledge-Graph-Enabled Biomedical Entity Linking: A Survey
Authors: Shi Jiyun , Yuan Zhimeng , Guo Wenxuan , Ma Chen , Chen Jiehao , Zhang Meihui 
Published: December 2022

Abstract
Biomedical Entity Linking (BM-EL) task, which aims to match biomedical mentions in articles to entities in a certain knowledge base (e.g., the Unified Medical Language System), draws dramatic attention in recent years. BM-EL can help to disambiguate medical terms and link to rich semantic information in the biomedical knowledge base, which can act as an essential means for many downstream applications.Although entity linking tasks have been investigated in the general domain and achieved great success, many challenges remain in the biomedical field, for instance, highly complex terminology, less training data, and entity ambiguity.In this survey, we categorize BM-EL methods into rule-based, machine learning, and deep learning models according to the development of the model paradigm and provide a comprehensive review of each approach.In-depth study of current BM-EL efforts, we group the model architectures into four categories: joint entity recognition and linking, graph-based global entity disambiguation, cross-lingual architectures, and model-efficiency improvement.We further introduce six well-established datasets that are commonly used for BM-EL tasks. Furthermore, we present a comparison of the different methods and discuss their advantages and disadvantages.Finally, we discuss the limitations of existing methods for BM-EL and discuss promising future research directions.
Multimorbidity Prevalence and Contributing Factors in Saudi Arabia
Authors: Bah Sulaiman , Hussain Mehwish , AlHotheyfa Raghad , AlNujaidi Heba Yaagoub , Al-Qahtani Mona , AlAnsary Naof , Herzallah Nawal , BinDhim Nasser F , Althumiri Nora A. , Albagmi Faisal Mashel 
Published: December 2022

Abstract
Purpose: This study aims to examine the prevalence of multimorbidity in Saudi Arabia and identify the contributing factors.
Methods: A population-based cross-sectional study of 23,098 participants was conducted in 2020 across all 13 administrative regions of Saudi Arabia. Univariable and Multivariable logistic regression models were run to measure the effect of modifiable and non-modifiable risk factors on multimorbidity.
Results: A total of 23,098 participants from the 13 administrative regions completed the interview. Fifty percent of the participants were female, with a mean of 36.9 years (SD 13.9 years; range: 18—90 years). The majority of participants were Saudi nationals (95.2%). The overall prevalence of multimorbidity in this sample is 23.3%, with no differences between genders. This study has found that consuming vegetables and fruits and smoking (cigarettes, shisha/waterpipe, and electronic cigarettes) were significantly associated with multimorbidity status. It was also found that performing intense and moderate physical activity was negatively associated with multimorbidity.
Conclusion: This research has estimated the prevalence of multimorbidity in Saudi Arabia to be 23.3%. Judging by international research and the health profile of Saudi Arabia, this prevalence rate seems to be an underestimate. More research is needed to confirm the accurate prevalence of multimorbidity in Saudi Arabia.
Process parameters optimization model for robotic abrasive belt grinding of aero-engine blades
Authors: Yang Zhongqiang , Huang Zhi , Wang Hongyan , Wang Limin , Yang Han 
Published: December 2022

Abstract
Reducing carbon emissions during belt grinding is of great significance for environmentally friendly production in the manufacturing industry. In this paper, in order to better grinding aero-engine titanium alloy blades with the abrasive belt, an improved NSGA-II multi-objective optimization algorithm was proposed, which reduced the carbon emissions during the grinding process while ensuring the same surface roughness and material removal rate. Firstly, through analysis and finite element simulation, the model of abrasive belt grinding force is established and the rationality of the model is verified by experiments; furthermore, the carbon emission model of abrasive belt grinding and the multi-objective optimization model based on the improved NSGA-II algorithm are established; finally, the results of the algorithm are verified and compared through numerical simulation and experiments. Compared with the NSGA-II algorithm and the MOPSO algorithm, the optimization results of the algorithm in this paper have better diversity and uniformity, and can find better non-dominated optimal solutions, the process parameters selected by the algorithm in this paper can more effectively reduce the carbon emissions during grinding. The optimization method proposed in this paper has certain reference significance for engineering practice.
Synthesising a minimal cell with artificial metabolic pathways
Authors: Kurisu Minoru , Katayama Ryosuke , Sakuma Yuka , Kawakatsu Toshihiro , Walde Peter , Imai Masayuki 
Published: December 2022

Abstract
A synthetic minimal cell is an artificial vesicle reproduction system in which a chemical and physico-chemical transformation network is regulated by information polymers. In this study, we synthesise such a minimal cell consisting of three units: energy production, information polymer synthesis, and vesicle membrane growth. Supplied ingredients are converted to energy currencies which trigger the synthesis of an information polymer, where the vesicle membrane plays the role of a template. The information polymer promotes membrane growth. By tuning the membrane composition and permeability to osmolytes, the growing vesicles show recursive reproduction over several generations. Our “synthetic minimal cell” greatly simplifies the scheme of contemporary living systems while keeping their essence. Therefore, the chemical pathways and the reproduction pathways are well described by kinetic equations and by applying the membrane elasticity model, respectively. This study provides new insights to better understand the differences and similarities between non-living forms of matter and life.
Adaptive Programmable Networks for In Materia Neuromorphic Computing
Authors: Stenning Kilian , Gartside Jack , Manneschi Luca , Cheung Christopher , Chen Tony , Vanstone Alex , Love Jake , Holder Holly , Caravelli Francesco , Everschor-Sitte Karin , Vasilaki Eleni , Branford Will 
Published: December 2022

Abstract

Nanomagnetic artificial spin-systems are ideal candidates for neuromorphic hardware. Their passive memory, state-dependent dynamics and nonlinear GHz spin-wave response provide powerful computation.
However, any single physical reservoir must trade-off between performance metrics including nonlinearity and memory-capacity, with the compromise typically hard-coded.
Here, we present three artificial spin-systems and show how tuning system geometry and dynamics defines computing performance.

We engineer networks where each node is a high-dimensional physical reservoir, implementing parallel, deep and multilayer physical neural network architectures. This solves the issue of physical reservoir performance compromise, allowing a small suite of synergistic physical systems to address diverse tasks and provide a broad range of reprogrammable computationally-distinct configurations. These networks outperform any single reservoir across a broad taskset. Crucially, we move beyond reservoir computing to present a method for reconfigurably programming inter-layer network connections, enabling on-demand task optimised performance.
Balance-directed protein engineering of IsPETase enhances both PET hydrolysis activity and thermostability
Authors: Lee Seul Hoo , Seo Hogyun , Hong Hwaseok , Park Jiyoung , Ki Dongwoo , Kim Mijeong , Kim Hyung-Joon , Kim Kyung-Jin 
Published: December 2022

Abstract
A mesophilic PETase from Ideonella sakaiensis (IsPETase) has been shown to exhibit high PET hydrolysis activity, but its low thermostability limits its industrial applications. We herein developed an engineering strategy for IsPETase to enhance PET hydrolysis activity, thermostability, and protein folding of the enzyme. Balance-directed Z1-PETase variant outperforms the stability-directed Z2-PETase variant under both mesophilic and thermophilic conditions, although Z2-PETase exhibits higher thermostability than Z1-PETase. The Z1-PETase is also superior to Fast-PETase, Dura-PETase, and LC-CICCG in terms of depolymerization rate regardless of temperature conditions we tested. Thus, maintaining a balance between PET hydrolysis activity and thermostability is essential for the development of high-performance PET hydrolases. In a pH-stat bioreactor, Z1-PETase depolymerized > 90% of both transparent and colored post-consumer PET powders within 24 and 8 hours at 40°C and 55°C, respectively, demonstrating that the balance-directed IsPETase variant produced herein may be applicable in the bio-recycling of PET.
The correlation between LDL-C/HDL-C and Hypertension: a case control study
Authors: Zhang Jianling , Li Gang 
Published: December 2022

Abstract
Dyslipidemia is a risk factor of hypertension, which can promote the occurrence and development of hypertension. In this study, we collect data of 362 elderly patients to explore the correlation between blood lipid indexes and hypertension in the elderly population. Patients were divided into two groups : hypertensive group and control group. Multivariate logistic regression analysis, Spearman correlation analysis and receiver operating characteristics (ROC) curve were used to analyze the correlation between blood lipid and hypertension and its predictive value for hypertension. We found that The levels of LDL-C/HDL-C in hypertensive group were higher than those in control group, and the levels of LDL-C/HDL-C in moderate and severe hypertension groups were higher than those in mild hypertension group (P < 0.05). Multivariate logistic regression analysis showed that LDL-C/HDL-C was an independent risk factor for hypertension. Correlation analysis showed that LDL-C/HDL-C was positively correlated with the severity of hypertension (r = 0.580, P < 0. 01). ROC curve analysis showed that area under the curve (AUC) of LDL-C/HDL-C in predicting hypertension was 0. 937 (95%CI: 0.914-0. 961, P < 0.01). When the cut-off value was 4.276, the specificity and sensitivity were 96.2% and 75. 20%. In conclusion, LDL-C/HDL-C is an independent risk factor for hypertension and has predictive value for hypertension.
Comparison of the Efficacy of SP-VATS Segmentectomy, SP-VATS Lobectomy, and 3P-VATS of Lobectomy in NSCLC Patients
Authors: Wang Chuanqiang , Jiang Jindong , Sun Zhao 
Published: December 2022

Abstract
Objective: To analyze and study the clinical efficacy of single portal video-assisted thoracoscopic surgery (SP-VATS) segmentectomy, SP-VATS lobectomy, and conventional three portal video-assisted thoracoscopic surgery(3P-VATS) of lobectomy in the clinical treatment of non-small cell lung cancer （NSCLC)
Method: Patients (n=180) with NSCLC treated in our hospital within two years (from June 2020 to June 2022) were randomly grouped (red, white and yellow bullets grouping) into groups A (conventional 3P-VATS of lobectomy, n= 60), B (SP-VATS segmentectomy, n= 60) and C (SP-VATS lobectomy, 60 cases). The clinical effects of three surgeries on NSCLC were compared and studied.
Results: Compared with group A (conventional three-port thoracoscopic lobectomy), the levels of lung function-related indicators (FVC, FEV1, and MVV) were higher in groups B (SP-VATS segmentectomy) and C (SP-VATS lobectomy) (P<0.05); serum inflammation (IL-6, TNF-a, and CRP) and serum oxidative stress (Substance P and cortisol) were lower after treatment (P<0.05). The overall incidence of complications after surgery was lower (P<0.05), and the clinical efficacy was more significant (P<0.05).
Conclusion: Compared with the clinical application of traditional 3P-VATS of lobectomy, SP-VATS segmentectomy, and SP-VATS lobectomy have significant efficacy in the clinical application which can improve the reduction of serum inflammation and serum oxidative stress-related index levels, which have more outstanding therapeutic advantages such as effectiveness and safety.