bluuebunny/crossref_metadata_2025_split huggingface dataset:
The implications of Mineral Sector Reforms on the Livelihoods of Adjacent Local Communities in Simanjiro District, Tanzania
Authors: Mung’ong’o Henry George 
Published: January 2025

The aim of this study was to assess the governance of the tanzanite mineral resources at Mirerani in Simanjiro District. Specifically examining the effects of mineral legal reforms on the livelihoods of the local communities in the Simanjiro district. The study employed a mixed methods approach, combining qualitative and quantitative approaches with purposive and random sampling techniques. Data were collected through focus groups, in-depth interviews, and household questionnaire surveys were administered to 312 sampled heads of households. Thematic approach was used for analysing qualitative data and SPSS software was used to analyse quantitative data. The novel finding of this study is that while mineral reforms of the 1990s aimed to reduce the government’s control in natural resource governance, recent reforms through the Natural Wealth and Resources, Written Laws and the Natural Wealth Resource Contracts of 2017 which marked by the walling of tanzanite mining in Mirerani have powered the role of state control over mineral resource, raising Tanzanite profitability on markets scale while marginalizing the livelihoods assets of the local community surrounding the Tanzanite mineral site, by pushing many pastoralists out through reducing their access and control to grazing land, water resources through walling of the Mirerani Tanzanite mining site in 2017. With this evacuation resulted to low collection of fruits and roots causing food insecurity, deaths of livestock, decreased income, shrinking of pasture areas and unemployment. The study concludes that while reforms have restored the role of the state in the governance of mineral sector, ordinary citizens are deprived of their land, displaced, excluded and psychologically tortured. The study recommends that any government's management of natural resources must consider both national political and economic gains as well as the ability of displaced communities to maintain their standard of living.
Survei Motivasi Olahraga Sepakbola pada SMA Negeri 14 Sinjai
Authors: Ishar A.Anwar 
Published: January 2025

Penelitian ini bertujuan untuk mengetahui motivasi siswa SMA Negeri 14 sinjai barat dalam olahraga sepak bola. Jenis penelitian ini menggunakan penelitian deskriptif dimana peneliti menggambarkan kegiatan penelitian yang dilakukan pada objek tertentu secara jelas dan sistematis. Teknik pengambilan sampel yang digunakan pada penelitian ini adalah Total sampling. Total sampling adalah teknik pengambilan sampel dimana jumlah populasi sama dengan jumlah sampel. Sampel penelitian berjumlah 81 orang.Sampel penelitian adalah siswa IPS Kelas XI SMA Negeri 14 sinjai barat. Berdasarkan hasil penelitian ini di peroleh hasil, survey motivasi olahraga sepak bola SMA Negeri 14 sinjai barat dengan hasil yang sangat tinggi pada persentase 14.28%, kemudian kategori tinggi pada persentase 17.85%, kemudian kategori sedang pada persentase 28,57, kemudian kategori rendah pada presntase 17,85% diikuti dengan kategori sangat rendah pada persentase 21.42%. Hal tersebut karena dipengaruhi oleh factor-faktor seperti sarana dan prasarana, media pembelajaran,lingkungan,sehat fisik dan mental,sesuai bakat.
Upaya Meningkatkan Hasil Belajar Passing Menggunakan Kaki Bagian Dalam Pada Permainan Sepak Bola Melalui Metode Drill
Authors: Wirananda Rio 
Published: January 2025

Metode Drill adalah suatu cara mengajar dimana siswa melaksanakan kegiatan-kegiatan latihan, agar siswa memiliki keterampilan yang lebih baik dari sebelumnya. Dalam pembelajaran pendidikan jasmani, modifikasi pembelajaran juga diperlukan agar proses pembelajaran dapat mencerminkan karakteristik program pendidikan jasmani itu sendiri, yang berarti tugas ajar yang disampaikan harus memperhatikan perubahan kemampuan atau kondisi anak, serta dapat membantu mendorong terjadinya perubahan tersebut. Jenis penelitian ini adalah penelitian tindakan kelas (PTK). Tujuan penelitian ini untuk meningkatkan hasil Belajar Passing Kaki Bagian dalam melalui metode Drill. Jenis ini adalah Penelitian tindakan kelas. Penelitian tindakan kelas perbaikan dalam mengorganisasikan pembelajaran secara sistematis untuk mendapatkan hasil yang lebihbaik. Hasil penelitian menunjukkan belajar passing menggunakan kaki bagian dalam pada siswa kelas XI IPA di SMAN 1 Balla dapat meningkat pada siklus I sebesar 100% siswa yang tuntas. Sehingga penelitian berakhir pada siklus I. Kesimpulan Berdasarkan penelitian yang telah dilaksanakan, hasil belajar passing menggunakan kaki bagiandalam pada siswa kelas XI-IPA di SMAN 1 Balla dengan menerapkan metode drill mengalami peningkatan signifikan, penerapan hanya dengan satu siklus yang mana siklus tersebut terdiri dari lima kali pertemuan.
Penguatan Pendidikan Moral terhadap Remaja di Era Globalisasi
Authors: Mariyana Weni , Asy'arie Bima Fandi , Fathorrozy Fathorrozy 
Published: January 2025

Mengingat bahwa pendidikan moral saat ini selalu menjadi topik diskusi di setiap aktivitas pendidikan baik di sekolah maupun madrasah, maka sangat dibutuhkan strategi komprehensif yang dapat membantu remaja memperbaiki moral mereka untuk memahami keanekaragaman budaya dan berkontribusi positif. Adapun penelitian ini memiliki tujuan untuk mengidentifikasi dan mendeskripsikan penguatan pendidikan moral terhadap remaja di era globalisasi saat ini. Metode yang digunakan ialah library reseach (kepustakaan) dengan menggunakan pendekatan kualitatif. Data diperoleh dari dua sumber “Google Scholar” dan “ScienceDirect” dengan cara analisis konten. Hasil penelitain ini menunjukkan bahwa dalam meningkatkan pendidikan moral pada remaja meliputi: Memberi sikap yang baik, Memberi Pemahaman melalui contoh nyata, Memberi progam-program pendidikan moral, Memberi keterlibatan keluarga membangun kerja sama dengan sekolah, Memberi ketegasan dalam bergaul, Memberi ruang komunikasi secara terbuka, Memberi pendidikan multikultural, Memberi ruang untuk mengevaluasi diri. Melalui keseluruhan cara tersebut tentu dapat mengembangkan moral remaja agar tidak terpengaruh dengan perkembangan teknologi yang semakin pesat.
Kios Matematika: Inspirasi untuk Mencintai Matematika
Authors: Burais Listika 
Published: January 2025

Penerapan Kios Matematika adalah untuk meningkatkan motivasi belajar peserta didik pada pelajaran matematika di MTsS Lhong Raya Kota Banda Aceh.Penelitian ini dilakukan pada peserta didik kelas VII MTsS Lhong Raya tahun 2020/2021. Metode penelitian yang digunakan adalah penelitian kualitatif deskriptif. Pengumpulan data dilakukan dengan pemberian angket motivasi belajar peserta didik. Berdasarkan analisis data angket motivasi, menunjukkan bahwa penerapan kios matematika dapat meningkatkan motivasi belajar peserta didik. Hal ini terlihat dari peningkatan rata-rata hasil angket, yang awalnya hanya 55% menjadi 81%. Kios Matematika cocok diterapkan untuk menumbuhkan motivasi belajar pada peserta didik dan menjadi inspirasi untuk mencintai matematika.
Optimalisasi Penggunaan Statistik dalam Evaluasi Pembelajaran Pendidikan Agama Islam: Pendekatan Kuantitatif dalam Meningkatkan Kualitas Penilaian
Authors: Susanna  , Idris Jamaluddin , Duskri Muhammad 
Published: January 2025

Penelitian ini bertujuan untuk menganalisis peran statistik dalam meningkatkan kualitas evaluasi pembelajaran Pendidikan Agama Islam (PAI) di sekolah menengah atas. Pendekatan penelitian yang digunakan adalah metode campuran (mixed-method), mengombinasikan analisis kuantitatif dan kualitatif. Data kuantitatif diperoleh melalui angket dan tes, sedangkan data kualitatif diperoleh melalui wawancara dengan guru PAI. Subjek penelitian adalah 15 guru PAI yang mengajar di SMA negeri dan swasta di wilayah Kabupaten Nagan Raya, serta 30 peserta didik yang berasal dari sekolah-sekolah tersebut. Data dari tes dan angket dianalisis menggunakan perangkat lunak SPSS untuk menghitung statistik deskriptif (rata-rata, standar deviasi) dan inferensial (uji-t, regresi). Data wawancara dianalisis melalui coding untuk menemukan tema utama. Data dokumen hasil evaluasi dianalisis dengan pendekatan deskriptif, dan triangulasi data. Hasil penelitian menunjukkan bahwa penggunaan statistik, meskipun membantu dalam memberikan penilaian yang lebih objektif dan terukur, masih terbatas pada kemampuan guru dalam mengaplikasikan alat statistik yang ada. Sebagian besar guru memiliki kemampuan statistik yang berada pada kategori sedang, sehingga dibutuhkan pelatihan lebih lanjut untuk memaksimalkan potensi statistik dalam evaluasi pembelajaran. Simpulan dari penelitian ini adalah bahwa penggunaan statistik yang optimal dapat meningkatkan kualitas evaluasi pembelajaran PAI, terutama dalam menilai aspek kognitif, afektif, dan psikomotor peserta didik. Penelitian ini merekomendasikan penyelenggaraan pelatihan statistik untuk guru sebagai langkah untuk meningkatkan kompetensi dalam mengevaluasi hasil belajar secara lebih efektif.
ANALISIS VARIASI DESAIN PENAMPANG FONDASI DALAM TERHADAP EFISIENSI PELAKSANAAN (STUDI KASUS: GEDUNG POLIKLINIK RSUP PROF. DR. I.G.N.G. NGOERAH)
Authors: I Made Aryatirta Predana  , Made Dodiek Wirya Ardana  , I Gede Yogi Gangga Purnawardana  
Published: January 2025

Pada konstruksi bangunan, fondasi memiliki peran penting dalam menahan dan meneruskan beban struktur di atasnya ke tanah dengan daya dukung yang memadai. Namun, perencanaan fondasi yang baik tidak hanya mempertimbangkan daya dukung, tetapi juga aspek efisiensi metode pelaksanaannya. Pada kenyataannya, faktor efisiensi ini sering terabaikan dalam praktik lapangan, mengakibatkan perencanaan yang tidak optimal. Berdasarkan hal tersebut, dilakukan analisis alternatif desain fondasi untuk dibandingkan dengan desain fondasi eksisting, baik dari segi keamanan maupun efisiensi pelaksanaannya. Studi ini dilakukan di Proyek Pembangunan Gedung Poliklinik RSUP Prof. Dr. I.G.N.G. Ngoerah yang merupakan bangunan dengan struktur beton bertulang dengan lima lantai utama dan satu lantai basemen. Metode pelaksanaan instalasi tiang dibandingkan antara menggunakan hydraulic jack-in dan drop hammer. Hasil desain menunjukkan bahwa tipe fondasi eksisting (PE12 400) memiliki daya dukung tiang kelompok yang tinggi sebesar 9201,08 kN, namun memerlukan waktu instalasi tiang selama 37,25 menit dan produktivitas sebesar 3,74 m/menit. Dari berbagai alternatif, fondasi persegi tipe PP6 500 mampu menahan beban aksial dan lateral dengan memiliki daya dukung aksial sebesar 7262,27 kN dan lateral sebesar 1023,48 kN. Selain itu, fondasi tipe ini memerlukan waktu instalasi tiang selama 19,25 menit dan produktivitas 3,74 m/menit. Hal ini menjadikan fondasi persegi tipe PP6 500 sebagai alternatif terbaik untuk pemilihan tipe fondasi pada studi kasus ini.
Determinants of the Human Development Index in Pakpak Bharat Regency, Indonesia
Authors: Nurhalimah Boangmanalu  , Nurlina  , Asnidar  
Published: January 2025

This study analyzes the factors influencing the Human Development Index (HDI) in Pakpak Bharat Regency, Indonesia, from 2010 to 2022, focusing on the roles of Gross Regional Domestic Product (GRDP), education, and poverty. Secondary data from the Central Bureau of Statistics (BPS) and other supporting sources form the basis of this research. The analysis employs multiple linear regression along with classical assumption tests, including normality, multicollinearity, heteroscedasticity, and autocorrelation, as well as t-tests, F-tests, and the coefficient of determination. The results indicate that GRDP and education have significant positive effects on the HDI, while poverty has a negative but statistically insignificant impact. Collectively, GRDP, education, and poverty significantly influence the HDI, explaining 99.27% of its variance, with the remaining 0.73% attributable to unexamined factors such as healthcare, per capita income, and others. These findings underscore the critical interplay of economic and social variables in driving human development and provide a robust basis for targeted policy interventions in the region.
Examining Teaching Motivation and Classroom Practices of Public Secondary School Teachers in Ulanga Tanzania: A Self-Determination Analysis
Authors: Mpare Faruku Maulid , Zhichao Wang , Marjan Mwanakhamis 
Published: January 2025

Based on self-determination theory, this study explored how much secondary school teachers in public schools were motivated to work in their careers and how their motivation related to classroom practices. The study adopted a quantitative study design. A study recruited 70 secondary school teachers (male=36 and female=34) from different public schools who were randomly selected and involved. The questionnaire was administered to 70 teachers, and all the papers were returned positively. Teachers’ motivation was measured using the modified Work Tasks Motivation Scale for Teachers (WTMST) (Fernet C. et al., 2008). The Teachers’ classroom practices were measured using an adapted vignette-based instrument, the Situations-in-School (SIS) Questionnaire (Alterman A. et al., 2019).
The score for autonomy motivation was computed by averaging the subscale of intrinsic and identified motivation, and the score for controlling motivation was calculated by averaging the subscale of introjected and external motivation. The result indicates that, to a large extent, secondary school teachers are autonomously motivated to work in their careers. It also found that teachers’ autonomy motivation allied significantly with structure (need-supportive) and control (need-depriving) classroom practices. Controlling motivation and motivation are significantly related to control and chaos (need-depriving) classroom practices.
The study findings are crucial to educational stakeholders in addressing teachers' challenges to boost their motivation, which positively relates to their classroom teaching and, in turn, can affect students' performance. Conclusively, any change in the educational structure that promotes teacher motivation should result in improved levels of classroom teaching.
Morphological Variability of 23 Kola Genotypes [Cola nitida (Vent.) Schott & Endl.] from Côte d'Ivoire and Nigeria
Authors: Yaya Ouattara , Jean-Marc Séry Drolet , Yao Saraka Didier Martial , Alphonse Bouet , Sylvère Sié Raoul 
Published: January 2025

Twenty-three (23) kola genotypes from Côte d’Ivoire and Nigeria were assessed for their morphological traits. The objective of this study was to identify potentially promising genotypes for kola productivity improvement. This study highlighted the significant variations in phenotypic traits between the two origins, except for nuts length. Genotypes from Côte d’Ivoire produced large follicles with more nuts. Those from Nigeria have large leaves, thick cortex, and large but few nuts. Correlation analyses revealed complex relationships among these characteristics, potentially influencing yield. Furthermore, the classification of genotypes into clusters highlighted notable differences in terms of fruit weight and nut size. Cluster 2 (CIV-313, CIV-322, NIG-330, NIG-341, and NIG-352) stands out as the most interesting, showing the highest values for these traits. These findings could be valuable in productivity and quality improvement programs for kola nuts, by incorporating specific characteristics of each genotype to meet agronomic goals.
The Role of Chemistry in Achieving Sustainable Development Goals: Green Chemistry Perspective
Authors: Ogodo Uchenna P. , Abosede Olufunso O. 
Published: January 2025

Green chemistry, also referred to as sustainable chemistry, has emerged as a crucial framework for addressing global sustainability challenges and advancing the United Nations 2030 Sustainable Development Goals (UN-SDGs). By focusing on designing chemical products and processes that minimize hazardous substances, green chemistry reduces environmental pollution, conserves resources, and improves public health. It promotes safer, more efficient chemical processes aligned with sustainability principles. The twelve principles of green chemistry offer actionable strategies for achieving key SDGs. For example, green chemistry ensures clean water and sanitation (SDG 6) by minimizing toxic chemical releases into water systems and addresses climate action (SDG 13) through low-carbon technologies and sustainable energy sources. It supports responsible production and consumption (SDG 12) by advancing circular economy practices and fostering sustainable industrial processes. In Africa, green chemistry is drawing attention, demonstrating significant contributions to sustainable development. Conferences in Africa have fostered collaboration among researchers, policymakers, and industry leaders while African countries continue to adopt green technologies, including cleaner production techniques and renewable feedstocks in chemical manufacturing. Research laboratories across the continent are implementing techniques like solvent-free synthesis and bio-based catalysts, reducing environmental impacts and enhancing resource efficiency. This article highlights how green chemistry principles drive progress toward the UN-SDGs in Africa. By integrating these principles, green chemistry can help create a sustainable global economy, advancing environmental stewardship, social well-being, and economic growth.
Adaptive event‐triggered pinning synchronization control for complex networks with random saturation subject to hybrid cyber‐attacks
Authors: Ali M. Syed , Tajudeen M. Mubeen , Rajchakit Grienggrai , Priya Bandana , Thakur Ganesh Kumar 
Published: May 2023

SummaryThis research is concerned with the problem of pinning based output synchronization control for a complex networks with random saturation vulnerable to hybrid cyber‐attacks via an adaptive event‐triggered scheme (AETS). The output synchronization error systems are subject to suffer from deception attacks, replay attacks, and denial‐of‐service attacks. A novel hybrid cyber‐attack model is first constructed to integrate the three kinds of attacks into a synchronization of complex network. AETSs based on output synchronization errors with the consideration of hybrid cyber‐attacks, have been proposed to reduce the burden of communication. A pinning control strategy is used to decrease the control signal's input. By constructing a Lyapunov functional and using the linear matrix inequality technique, sufficient conditions are provided to ensure the output synchronization error system. Finally, a numerical simulation results are developed to illustrate the efficacy of the proposed theoretical methodology.
An Injectable Self‐Crosslinked Wholly Supramolecular Polyzwitterionic Hydrogel for Regulating Microenvironment to Boost Infected Diabetic Wound Healing
Authors: Pang Yudi , Wang Hongying , Yao Yuan , Chen Danyang , Yang Rong , Wang Zhuoya , Yang Jianhai , Li Yongmao , Liu Wenguang 
Published: May 2023

AbstractIt is highly desirable yet significantly challenging to fabricate injectable, self‐crosslinked, self‐fused, and antifouling polyzwitterionic hydrogels, whose successful preparation will expand their application scope in biomedical fields. Herein, for the first time, a novel zwitterionic monomer, carboxybetaine urethane acrylate (CBUTA) is designed and synthesized with a urethane group and zwitterion on the same side chain. The strong inter‐urethane H‐bonds and zwitterionic dipole–dipole interactions of side chains contribute to self‐crosslinked wholly supramolecular polyzwitterionic hydrogel that is directly formed from photoinitiated polymerization of CBUTA aqueous solution without adding any chemical crosslinkers. After being swollen in water, the polyCBUTA (PCBUTA) hydrogel is squeezed into small particles and freeze‐dried to obtain hydrogel powder. The injectable and wholly zwitterionic supramolecular PCBUTA hydrogel can be easily reconstructed by mixing hydrogel powder with water due to the recombination of H‐bonds of urethane groups and zwitterionic dipole–dipole interactions. The re‐formed PCBUTA hydrogel exhibits an excellent self‐fused and antifouling ability, and this injectable PCBUTA hydrogel, endowed with a microenvironment‐regulated function, demonstrates excellent glucose consumption, antioxidation, antibacterial, and angiogenesis ability, thus accelerating the infected diabetic wound healing. Overall, this work provides a promising strategy to develop injectable and wholly zwitterionic hydrogels that will find broad biomedical applications.
Soft Wearable Thermal Devices Integrated with Machine Learning
Authors: Zavareh Amir , Tran Brittany , Orred Christian , Rhodes Savannah , Rahman Md Saifur , Namkoong Myeong , Lee Ricky , Carlisle Cody , Rosas Miguel , Pavlov Anton , Chen Ian , Schilling Greg , Smith Marc , Masood Fahad , Hanks John , Tian Limei 
Published: May 2023

AbstractCore body temperature (CBT) is a vital parameter that provides insight into individuals' overall health. However, existing methods to monitor CBT are mainly invasive and limited to applications in operating rooms. This work reports a soft wearable thermal device with low power operation to accurately monitor the core temperature and overcome these limitations. The thermal device comprises multiple temperature sensors separated with insulating materials of different thermal conductivities. The design provides a well‐defined thermal gradient to characterize the heat flux across the device. Thermal simulation of the devices with finite element analysis provides guidelines on the device design. Experimental studies involving tissue phantom and human subjects characterize and validate the device performance. A machine learning approach can account for heterogeneous, hard‐to‐measure parameters among individuals such as tissue thermal conductivity and heat generation rate. The machine learning algorithms can be trained to accurately quantify the core temperature in human subjects using the zero‐heat‐flux device measured temperature as a reference. The results show that the mean core temperature difference between the zero‐heat‐flux and the devices is 0.01 °C with 95% limits of agreement in the range of −0.08 °C and 0.1 °C.
Implement the Materials Genome Initiative: Machine Learning Assisted Fluorescent Probe Design for Cellular Substructure Staining
Authors: Yang Yike , Ji Yumei , Han Xu , Long Yunxin , Stewart Callum , Wen Yiqiang , Lee Hok Yeung , Cao Tian , Han Jinsong , Chen Sijie , Li Linxian 
Published: May 2023

AbstractThe Materials Genome Initiative (MGI) is accelerating the pace of advanced materials development by integrating high‐throughput experimentation, database construction, and intelligence computation. Live‐cell imaging agents, such as fluorescent dyes, are exemplary candidates for MGI applications for two reasons: i) they are essential in visualizing cellular structures and functional processes, and ii) the unclear relationship between the chemical structure of fluorescent dyes and their live‐cell imaging properties severely restricts the current trial‐and‐error dye development. Herein, the MGI is followed to present an intelligent combinatorial methodology for predicting the staining cell ability of dyes utilizing machine learning (ML) driven by a structurally diverse combinatorial library. This study demonstrates how to high‐throughput synthesize 1,536 dyes and evaluate their imaging properties to establish a feature dataset for ML. A set of high‐precision ML‐predictors is then successfully modeled for assisting live‐cell staining and endoplasmic reticulum judgment. This approach is believed to bridge the gap between dye structure and corresponding staining behavior, and can accelerate the discovery of novel organelle‐specific stains.