bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategic Management in Islamic Full Day School ‎Institutional Development in the Era of Artificial ‎Intelligence
Authors: M Hadi Prasetyo  , Istikomah‎  , Eni Fariyatul  , Normadiah bin Daud  , Engku Ahmad Zaki bin Engku Alwi  
Published: July 2024

Manajemen strategi dalam pengembangan kelembagaan islamic full day school memiliki komponen utama yaitu yang pertama analisa lingkungan organisasi berfungsi sebagai deteksi awal dan prediksi ancaman dan peluang, kedua analisa profil organisasi berfungsi sebagai deteksi kelemahan dan kekuatan oraganisasi, ketiga startegi organisasi berfungsi sebagai pencapaian tujuan organisasi.[1]. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan case study. Hasil dari penelitian menunjukkan bahwa dalam manajemen strategi dalam penegembangan kelembagaan islamic full day school di era artfical intelegen, terdapat tiga hal yang harus diperhatikan, pertama, manajemen strategi, diproses ini dipelukan analisis SWOT, dilakukan secara menyeluruh terhadap lingkungan internal dan eksternal sekolah, mengidentifikasi kekuatan, kelemahan, peluang, dan ancaman pendidikan masa depan yang berkaitan dengan penggunaan teknologi. Dengan analisis tersebut akan mempermudah penyusunan visi dan misi serta target dan program. Selanjutnya Kedua. Strategi Pengembangan Kelembagaan, memerlukan Rencana Strategis (RENSTRA), yang merupakan dokumen yang berisikan tujuan jangka panjang dan jangka pendek pendidikan masa depan dalam penggunaan teknologi Artifical Intelegence (AI). Rencana tersebut meliputi langkah-langkah spesifik yang harus diambil untuk mengintegrasikan pendidikan masa depan dalam kegiatan sehari-hari sekolah. Dan perlu diperhatikan yakni penguatan fundamental, penguatan eksistensi dan membangun kemitraan serta komunitas. Ketiga Sistem Penjamin Mutu, dilakukan secara komintem dan konsisten dalam pengembangan kelembagaan, maka secara otomatis lembaga tersebut lembaga berkualitas. Sesuai dengan ketentuan kementerian pendidikan dan kebudayaan sistem penjaminan mutu, diselenggarakan oleh intern lembaga atau disebut dengan Sistem Penjamin Mutu Internal (SPMI) dan yang diselenggarakan oleh Pemerintah sebagai penanggungjawab utama dari sistem mutu pendidikan atau Sistem Penjamin Mutu Eksternal (SPME).

[1] Nazarudin, Manajemen Startegik, NoerFikri Offset, 2020.
Separation of siderite from calcite by differential reaction with dilute ethanoic acid: mineralogical and isotopic (δ13C, δ18O) effects
Authors: Crowley Stephen F. , Hughes Thomas 
Published: July 2024

ABSTRACT
A simple procedure is described for the separation of siderite, from mixtures of siderite and calcite, for carbon and oxygen isotope analysis based on the selective decomposition of calcite by reaction with stoichiometric excess ethanoic acid. Artificial mixtures, prepared from two naturally occurring materials (concretionary siderite containing approximately equal quantities of low-Mg and high-Mg siderite, and low-Mg calcite), are used to test the selectivity of calcite removal, investigate the potential for differential acid decomposition of siderites of differing geochemical composition, and assess the effect of separation procedures on the isotopic composition of recovered carbonate. Acidification results in complete removal of calcite and only minor (&lt; 2 wt %) siderite decomposition. Isotopic effects are limited with minimal difference between untreated (experimental control) and acid-treated materials. Discrepancies are attributed to preferential decomposition (greater reactivity) of (low δ13C, δ18O) high-Mg over (high δ13C, δ18O) low-Mg siderite in moderately acidic solvents. Observed departures from true isotopic compositions are insignificant for most geochemical applications when compared with other sources of uncertainty associated with the interpretation of siderite stable-isotope data sets in natural systems.
Well-to-Wheel Analysis of Ethanol-Gasoline Flex-Fuel Hybrid Vehicle
Authors: Rao R S S , Vaibhav M N , Himabindu M , Ravikrishna R V 
Published: July 2024

Abstract

India's reliance on crude oil imports to meet its energy demands, coupled with the escalating pollution issues stemming from contemporary vehicle technologies, underscores the urgency of evaluating prospective future fuel and propulsion systems. This necessitates a comprehensive examination of the entire fuel cycle, spanning from production to utilization in propulsion systems, commonly referred to as a Well-to-Wheels (WTW) analysis. This report comprises three essential segments: the Well-to-Tank (WTT) analysis, the Tank-to-Wheel (TTW) analysis, and the amalgamated WTW analysis. The WTT segment assesses the energy consumption and emissions generated during fuel production, while the TTW stage focuses on the energy usage and CO₂ emissions associated with vehicle operation across a typical Indian driving cycle. Integration of both WTT and TTW results yields final WTW estimates of energy consumption and CO₂ emissions. The WTW energy consumption, efficiency, and CO₂ emissions were scrutinized across three vehicle/fuel configurations for a passenger sedan within the Indian context: ethanol-gasoline blended fuel powering a Hybrid Electric Vehicle (HEV), a gasoline-powered conventional vehicle, and a Battery Electric Vehicle (BEV). These vehicles were simulated using Matlab Simulink-based software – Autonomie over the Modified Indian Drive Cycle (MIDC). The current electricity generation mix with its substantial reliance on coal accounting for nearly 70%, renders the electricity pathway less efficient and emits high levels of CO₂. Consequently, BEVs exhibit efficiency comparable to conventional gasoline vehicles but with higher CO₂ emissions from a WTW perspective. This contradicts the prevailing public perception that EVs are environmentally superior and have significantly reduced impact compared to conventional vehicles. This study underscores that hybridization and biofuel utilization notably enhance WTW efficiency and reduce CO₂ emissions. Specifically, hybrids powered by ethanol and ethanol-gasoline blends demonstrate superior WTW efficiency and reduced CO₂ emissions compared to their conventional counterparts. Significantly, the WTW CO₂ emissions are lowest for the E100-HEV, primarily due to the powertrain's efficiency and the carbon neutrality of sugarcane ethanol. The combination of sugarcane ethanol with hybrid technologies holds considerable promise in enabling India to diminish its reliance on crude oil imports while mitigating environmental impacts.
Municipal solid waste incineration slag as potential materials in green engineering as partial or total substitutes for conventional cement in future decades
Authors: Ventura¹ Sebastião , Maia Lino 
Published: July 2024

Abstract

In the context of this research to characterize the slags from the incineration of municipal solid waste as potential supplementary cementitious materials, the principle of comparative analysis of the physical, chemical and mechanical potentials of the portland cement . Was chosen, complemented with Fly Ash in some specific cases. The bases of objective study, we had two slags matured and ground during one night with a weight equal to 25% of the weight of the balls in the mill, designated Slag-Mat1n25%, as well as another slag matured with grinding in the same duration of one night and with a weight equal to 50% of the weight of the balls in the mill designated Slag-Mat1n50%, as well as another unmatured slag called Slag-NMatLL. The percentage proportions of the oxides as main elements and a description of the minor constituent elements in the materials were also determined and presented, thus allowing the elaboration of an analytical table demonstrating the nature of the oxide, namely its molar mass, density, melting and boiling point, as well as the nature of its crystalline structure, all in the chemical part. Also, in the main oxide elements, the ternary phase diagram, the silica and alumina modules, as well as the lime saturation factor were analyzed. Also, the potential reactivity to alkalis of the aggregates, as well as the determination of the Electrical Resistivity Objectives and Description: The objectives and purpose of the data described in this work support our intention of a continuous and in-depth study on the characterization of slag as supplementary cementitious materials. The descriptions refer to the authors' data set duly referenced in this work.
High-precision detection modeling reveals fundamental structural scales of amorphous materials
Authors: Zheng Wen , Cui Jiamei , Lai Yexin , Liu Yanjun , Zhang Y.-H 
Published: July 2024

Abstract

The characterization of amorphous materials has been a long-standing challenge in materials science due to their lack of long-range order, which makes it difficult to define structural metrics. Here, we describe a 2D amorphous system-based high-precision detection model(HPDM) that utilizes the concepts of “bag” and instances to achieve image-level classification to structure-level segmentation of amorphous systems without any additional dynamical information. We introduce an order parameter that describes the structural evolution in amorphous phase transitions and demonstrate the accuracy of HPDM in detecting amorphous microstructures. A fundamental structural scale for 2D amorphous systems can be obtained based on the optimal detection dimensions of HPDM for finite-scale systems, eliminating the need to calculate structural and dynamical information. Our findings and methodology hold significant scientific implications for understanding the nature of disordered structures in amorphous materials.
Dynamics of soil CH 4 and CO 2 fluxes from cattle urine with and without a nitrification inhibitor, and dung deposited onto a UK grassland soil
Authors: Dlamini Jerry , Chadwick David , Cardenas Laura 
Published: July 2024

Abstract

Food production systems associated with livestock management are significant sources of greenhouse gases (GHGs). Livestock excreta is one of the primary sources GHG emissions from grazing livestock. Against this context, a field experiment was established in a UK grassland to establish the extent of soil CH4, CO2, and N2O fluxes upon the deposition of (i) cattle urine (U), (ii) urine + DCD (U + DCD), (iii) artificial urine (AU), and dung (D), and compared with a (iv) control, where neither urine nor dung was applied. Applications of excreta were made at three periods during the grazing season; early-, mid, and late-season. Soil N2O emissions data have been published already; hence this paper summarizes the emissions of soil-borne CH4 and CO2 emissions, and explores in particular, the effects of the addition of DCD, a nitrification inhibitor used to reduce direct and indirect N2O emissions from urine patches, on these C-GHGs. Soil moisture, soil temperature, and nitrate (NO3−) and ammonium (NH4+) availability and C addition were key controls of both soil CH4 and CO2 emissions. The dung treatment stimulated the production and subsequent emissions of soil CH4 and CO2, a significantly high net CH4 and CO2-based GWP. The findings of the current study lay a foundation for an in-depth understanding of the magnitude and dynamics of soil-borne soil CH4 and CO2 upon urine and dung deposition during three different seasons. This study implies that the use of DCD may have the potential to reduce C-GHGs from the urine and dung of grazing animals.
Predictors of preterm birth and the available services in major maternal facilities in the Gambia: a qualitative study
Authors: Nget Musa , Conteh Amie , Badjie Mansour 
Published: July 2024

Abstract

Background: Being born before 37 weeks of gestational age or before 259 days from the first day of a woman’s last menstrual period is defined as preterm birth, according to the WHO. Being born too early is now the leading cause of death in children younger than five years worldwide. This study will determine the predictors of preterm birth and the available services designed to rehabilitate the preterm outcomes at a maternal hospital in The Gambia.
Objective: To identify the predictors of preterm birth and to find out the available services in major maternal facilities in The Gambia.
Materials and Methods: A qualitative study design was used, and in-depth interviews with the key informants were undertaken to identify the predictors of preterm birth and determine the available services designed to rehabilitate preterm outcomes.
Results: The data support the theory that the analysis identifies pre-eclampsia, history of previous preterm delivery, premature rupture of membrane, late antenatal booking, a birth interval of fewer than two years, birth to twins, history of bleeding during pregnancy, urinary tract infection during pregnancy, gestational diabetes, advance maternal age, caesarian section mode of delivery as the key risk factors of preterm birth among women who delivered in the BMCHH during the study period. The data also suggests that interventions like family planning, early and regular antenatal visits, immediate breastfeeding of the baby, and cord care are significant approaches in reducing the burden of preterm birth.
Conclusion: Preterm birth among women delivering in BMCHH in the Gambia is a significant problem. Pre-eclampsia, preterm premature rupture of the membrane, history of preterm birth, advanced maternal age, birth to twins, late antenatal booking, urinary tract infection, bleeding during pregnancy, and interpregnancy interval are the major predictors of preterm birth. According to the study, pre-eclampsia is the major predictor of preterm birth. Prompt identification of all risk factors associated with preterm birth will help policy makers to apply immediate and appropriate specific interventions. Early and regular antenatal care and family planning offered as a package of interventions could substantially reduce the incidence and complications related to PTB and will subsequently increase the likelihood of newborn survival. All these interventions put together will increase the survival rate of preterm neonate especially in low resource settings, such as the Gambia.
The utilization of zakat for improving economic growth in Indonesia (case study at BAZNAS of Kendal regency)
Authors: Syarifah Lailatus 
Published: July 2024

Purpose – This study aimed to analyse the utilization of Zakat at BAZNAS Kendal Regency.Method – This study used a qualitative approach with interview as the data collection strategy. Result – The utilization of productive Zakat by BAZNAS of Kendal regency was implemented well.Implication – This study can assist the government in making a policy and regulation related to zakat managementOriginality – This was the first study examining zakat management in Kendal Regency.
Metagenomic evaluation of bacteria in drinking water using full-length 16S rRNA amplicons
Authors: Taylor William , Devane Megan Louise , Russell Kathryn , Lin Susan , Roxburgh Colin , Williamson Judy , Gilpin Brent John 
Published: July 2024

ABSTRACT
Escherichia coli and total coliforms are important tools for identifying potential faecal contamination in drinking water. However, metagenomics offers a powerful approach for delving deeper into a bacterial community when E. coli or total coliforms are detected. Metagenomics can identify microbes native to water systems, track community changes and potential pathogens introduced by contamination events, and evaluate the effectiveness of treatment processes. Here, we demonstrate how the dual application of traditional monitoring practices and metagenomics can improve monitoring and surveillance for water resource management. The robustness of long-read metagenomics across replicates is demonstrated by the effect and interaction between manganese filters and bacterial communities, as well as the impact of chlorination after coliform detection. These examples reveal how metagenomics can identify the complex bacterial communities in the distribution system and the source waters used to supply drinking water treatment plants (DWTPs). The knowledge gained increases confidence in identified causes and mitigations of potential contamination events. By exploring bacterial communities, we can gain additional insights into the impact of faecal contamination events and treatment processes. This insight enables more precise remediation actions and enhances confidence in communicating health risks to drinking water operators and the public.
“Green” Synthesis of Substituted Tetraketones with Prominent Bactericide Effect
Authors: Muniz Roosenilson , Matos Mateus J. , de N. de Oliveira Alex , Porto André L.M. , Pokutsa Alexander , Oliveira Francisco F. , Jimenez David E.Q. , Ferreira Irlon M. 
Published: July 2024

:
Effective and “green” synthesis of tetraketone derivatives was elaborated. The last
compounds developed prominent bactericide activity against both MIC and MBC S. aureus
(ATCC-6538P) bacteria. The novelty of this approach is concluded in the application of
Al(OH)3 catalyst for the Knoevenagel-Michael cascade reaction of aromatic aldehydes and 1,3-
cyclic diketones in water. The process is chemoselective and affords high yield of tetraketones
under benign conditions. The catalyst maintained 80% of initial activity within four cycles.
The proposed method can be regarded as an alternative to the existing syntheses of biologically
active tetraketones that utilize homogeneous and expensive heterogeneous catalysts.
Detection of a Diagnostic Model and Comprehensive Examination of Diabetic Retinopathy Utilizing Genes Linked to Endoplasmic Reticulum Stress
Authors: Zhang Yan , Huang Yihong , Guo Maosheng , Chen Wanzhu , Wu Yuyu 
Published: July 2024

Objectives:
The aim of this study was to reveal the biological functionalities associated
with endoplasmic reticulum stress (ERS)-related genes (ERSGs) in the context of diabetic
retinopathy (DR).

Methods:
Differentially expressed genes (DEGs) within the DR group and the Control group
were identified and then integrated with ERSGs. Gene Ontology (GO) and Gene Set Enrichment
Analysis (GSEA) methodologies were used to investigate potential biological mechanisms.
A diagnostic model for ERS and a nomogram were formulated based on biomarkers selected
through the Least Absolute Shrinkage and Selection Operator method. The diagnostic
efficacy of this model was thoroughly evaluated. ERS-associated subtypes were identified, and
the Single-Sample GSEA (ssGSEA) and CIBERSORT algorithms were used to assess immune
infiltration.

Results:
We identified 10 ERS-related DEGs (ERSRDEGs) within the DR Group. Subsequently,
a diagnostic model was constructed based on 5 ERS genes, namely CCND1, IGFBP2, TLR4,
TXNIP, and VIM. The validation analysis demonstrated the commendable diagnostic performance
of the model. Analysis of the ssGSEA immune characteristics revealed a positive correlation
in the DR group between myeloid-derived suppressor cells (MDSC), regulatory T cells
(Tregs), and CCND1 TXNIP. Furthermore, a significant negative correlation was observed between
central memory CD4 T cells and CCND1. In the context of CIBERSORT, the results indicated
a positive correlation between macrophages and IGFBP2, as well as Tregs and IGFBP2
in the DR group. Notably, a conspicuous negative correlation was identified between resting
mast cells and IGFBP2.

Conclusion:
The present study provides novel diagnostic biomarkers for DR from an ERS perspective.
The experience of teaching national history and the foundations of constitutional knowledge in the late 1930s early 1940s (using the example of railway schools in the Kursk region)
Authors: Korovin V. V. , Korovin R. V. 
Published: July 2024

The relevance of the topic under discussion is determined by the significant social importance of school history education. Over thirty years of Russian society's and state's life in conditions of ideological and political diversity, as well as the complete erosion of the Western-scale liberal values, has led to most Russians realizing the need to adhere to traditional moral principles based on ideas of patriotism and humanism. The domestic education system is the main vehicle for this. Therefore, the controversial experience of teaching history in schools arouses professional interest among researchers and practicing teachers.The purpose of the study is to reveal the peculiarities of teaching history in the pre–war years on the basis of archival documents and published materials on the example of departmental educational institutions of railway transport.Objectives: to characterize the contradictions of the process of introducing historical and social sciences disciplines into school education; to reflect the role of historical knowledge in the patriotic education of the younger generation.Methodology. The research was based on the principles of objectivity and historicism. To solve the tasks set by the author, the methods of historical-genetic, historical-systemic, historical-comparative, typological, retrospective were used.Results. The study of the experience of teaching the historical and social sciences cycle of academic disciplines in the pre-war years on the example of departmental educational institutions of railway transport made it possible to objectively assess the impact of humanitarian training of students on the formation of their civic position and the education of patriotic feelings, which had a decisive impact on the behavior of graduates of railway schools during the period of military trials and subsequent restoration of the national economy.Conclusions. The experience of teaching history and the foundations of constitutional knowledge accumulated in the pre-war period is worthy of application in the context of modern reform of historical education. Recognition of the leading role of national history in shaping the worldview of the younger generation requires a systematic approach in teaching and educating young people based on love and respect for their Homeland.
A Systematic Empirical Evaluation of Machine Learning Algorithm on Energy Prediction
Authors: Ibtehaj Ul Haq  , Khan Waqar , Khan Yusra , Rizvi Syed Sajjad Hussain , Akhtar Shamim , Kumar Pardeep 
Published: July 2024

The energy crisis has alerted all scientists and researchers in every field. The evident increase in the usage of electronic items causes high electricity consumption. Especially in residential households and high-rise apartments, buildings show high electrical loads. This study is designed to forecast the energy need using AI prediction models and find the most efficient model to predict the future loads of any household considering its surroundings, like weather, air pressure, room temperature and others. This is a comprehensive comparative study that provides a comprehensive comparison between regression models. The finding of the study is that by using the optimum model, we can achieve the best results in predicting electricity load.
PENGEMBANGAN VIDEO ANIMASI MENGGUNAKAN POWTOON PADA MATA PELAJARAN IPAS DAERAHKU KEBANGGAANKU DI KELAS KELAS V SD NEGERI 104607 SEI ROTAN
Authors: Rahmayani Ulina , Rangkuti Irsan 
Published: July 2024

: Penelitian ini bertujuan untuk mengetahui : kelayakan, kepraktisan serta keefektifan video animasi menggunakan powtoon pada mata pelajaran IPAS Daerahku Kebanggaanku Topik A dalam meningkatkan hasil belajar siswa kelas V SD. Nilai persentase dari aspek materi yang diberikan oleh validator adalah 89% dengan kategori kelayakan “SANGAT LAYAK”. Nilai persentase dari aspek soal yang diberikan oleh validator adalah 88% dengan kategori kelayakan “SANGAT LAYAK”. Nilai persentase dari aspek media yang diberikan oleh validator adalah 96% dengan kriteria kelayakan “ SANGAT LAYAK”. Nilai persentase dari aspek kepraktisan yang diberikan oleh validator adalah 92% dengan kriteria kelayakan “SANGAT PRAKTIS”. Dari hasil perbandingan rata-rata pre-test dan post-test, ditemukan bahwa terdapat nilai 84% dengan kriteria kepraktisan “ SANGAT EFEKTIF”.