bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemanfaatan Limbah Minyak Jelantah Menjadi Lilin Aromaterapi dari Ekstrak Tanaman Jahe Untuk Meminimalisir Limbah Rumah Tangga Bagi Masyarakat Desa Merbau, Kec. Bunut, Pelalawan.
Authors: Fithry Dwi Annisa , Juneid Widuri , Yuniarti Yuniarti , Mahona Olvyna , Denita Vyrna Risky , Ramadhan Gilang
Published: January 2024

Desa Merbau merupakan desa yang memiliki potensi lingkungan. Potensi lingkungan yang terkenal di desa Merbau yaitu perkebunan sawit, jahe dan serai.Metode yang digunakan: 1. Komprehensif, program ini mengintervensi seluruh aspek untuk melakukan pelatihan pada kelompok Ibu-ibu PKK guna meningkatkan keahlian, keterampilan, dan pengetahuan (teknik membuat lilin aromaterapi dengan ekstrak jahe). 2. Berbasis pemanfaatan potensi alam lokal, karena memanfaatkan bahan alami yang berasal dari minyak jelantah, jahe, madu dan jeruk nipis.ada ketertarikan yang tinggi dari peserta untuk tahu lebih lanjut mengenai pemanfaatan minyak jelantah sebagai bahan dasar pembuatan lilin aromaterapi dengan ekstrak jahe.Program pengabdian masyarakat yang dilakukan dengan pelatihan , pendampingan dan penyuluhan inovasi minyak jelantah kepada Ibu PKK di Desa Merbau Kecamatan Bunut diharapkan meningkatkan perekonomian, kesadaran kebersihan, pemanfaatan limbah rumah tangga dan bahayanya penggunaan minyak goreng secara berulang.
Pendampingan Pengolahan Mpasi di Wilayah Kerja Puskesmas Dlingo II
Authors: Putri Silmina Esi , Hardiani Tikaridha , Eka Noviani Nor
Published: January 2024

Peningkatan kualitas asupan menu makanan balita sebagai upaya dalam melakukan pencegahan stunting di wilayah kerja Puskesmas Dlingo II. Data hasil survei status gizi Indonesia menujukan bahwa prevalensi balita stunting di Kabupaten Bantul pada tahun 2021 mencapai 19%, di tahun 2022 angka tersebut menurun menjadi 14%. Perkembangan stunting ini memberikan harapan untuk kelanjutan penurunan angka stunting di Kabupaten Bantul tahun 2023 dan masa yang akan datang. Metode yang digunakan dalam penelitian ini menggunakan pendekatan sosialisasi dalam meningkatkan pengetahuan orang tua terutama para ibu, mengenai pentingnya asupan menu makanan bergizi seimbang untuk balita. Tahap awal dilakukan sosialisasi interaktif dengan meliputi sesi penyampaian informasi tentang stunting, penyebab stunting, pencegahan stunting, jenis makanan yang diperlukan, serta cara memasak dan menghidangkan makanan yang kaya akan nutrisi. Tahap Implementasi dilakukan demonstrasi praktis dalam penyusunan menu makanan balita yang seimbang. Orang tua ikut berpartisipasi dalam sesi tanya jawab terkait masalah gizi dan pencegahan stunting. Hasil penelitian ini diharapkan dapat memberikan panduan praktis bagi orang tua dalam memilih serta menyusun menu makanan yang sesuai untuk balitnya guna mencegah terjadinya stunting.
Edukasi Kesehatan Mengenal Air Naqi Terhadap Pencegahan Mual dan Muntah di Rumah
Authors: Sandra Sandra , Eka Kartika Defi , Azzahara T. Aulya
Published: January 2024

Air naqi merupakan cairan perasan buah kurma yang mengandung karbohidrat, membantu meredakan mual dan muntah serta menyediakan nutrisi baik untuk tubuh terutama ketika berpuasa atau dalam kondisi sakit di rumah. Menggunakan air naqi sebagai alternatif alami, dapat mengurangi ketergantungan pada obat-obatan kimia atau sintetis. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman keluarga tentang pentingnya air naqi dalam menjaga kesehatan tubuh dan mencegah mual muntah di rumah. Metode pengabdian masyarakat dilakukan melalui kegiatan edukasi kesehatan terhadap 20 orang dan menggunakan booklet secara berkelompok. Pengetahuan peserta sebelum dan setelah mengikuti edukasi diidentifikasi menggunakan pre-test dan post-test yang berisi 10 pertanyaan dichotomous choice (benar atau salah). Pengetahuan peserta dalam mengenal air naqi disajikan dalam bentuk grafik. Rerata skor pre-test menunjukkan nilai 53 poin dan meningkat pada post – test sebesar 100 poin. Ini menunjukkan bahwa edukasi kesehatan mengenal air naqi di Perumahan Karya Pesona Mandiri, Panam-Pekanbaru, dapat meningkatkan pengetahuan peserta pada ranah kognitif. Disarankan kepada institusi pendidikan keperawatan untuk dapat terus meningkatkan kerjasama dengan masyarakat sebagai bagian dari kajian akademis dan praktis khususnya didalam intervensi keperawatan medikal bedah dan keluarga guna meningkatkan pengetahuan
Optimalisasi Peran Pendidikan Mahasiswa KKN Kelompok 55 Universitas Muhammadiyah Riau Dalam Membangun Generasi Masa Depan
Authors: Eka Putra  , Soni Soni , Hul Hasanah Sifa , Rinaldi Rinaldi , Ramadhanti Nurul
Published: January 2024

Tujuan utama pelaksanaan program Kuliah Kerja Nyata (KKN) Kelompok 55 Universitas Muhammadiyah Riau adalah memberikan pengalaman berharga kepada mahasiswa dalam menggali potensi desa dan memberikan kontribusi kepada masyarakat setempat. Pelaksanaannya melibatkan survei dan perencanaan program kerja. Beberapa lembaga pendidikan di di Desa Kuala Gading, Kecamatan Batang Cenaku, Kabupaten Indragiri Hulu, Provinsi Riau, pada 24 Juli hingga 31 Agustus 2023 menjadi sasaran Program Kerja mahasiswa KKN yang dilakukan rutin setiap harinya. Seluruh mahasiswa KKN berperan dalam membantu penyelenggaraan pendidikan di desa. Tidak hanya di sekolah, mahasiswa KKN juga mengadakan les gratis dan mengajar mengaji bagi anak-anak demi memaksimalkan kegiatan pendidikan di desa. Respons positif dari pihak desa diperoleh selama mengajar di berbagai lembaga pendidikan lokal, mulai dari tingkat Taman Kanak-Kanak (TK), Sekolah Dasar (SD), hingga Pondok Pesantren Tebu Ireng 4. Kolaborasi mahasiswa KKN tersebut diharapkan dapat memberikan dampak yang signifikan dalam keikutsertaan membangun generasi masa depan.
Pelatihan Media Pembelajaran Mengenal Huruf Dan Literasi Berbasis Animasi Bagi Guru Tk Aisyiyah Pekanbaru
Authors: Okmayura Finanta , Herlandy Pratama Benny , Vitriani Vitriani , Novalia Melly , Raja Widya Novchi
Published: January 2024

Pembelajaran Tatap Muka (PTM) terbatas yang dilakukan selama covid 19 dirasakan kurang efektif, karena sebelumnya siswa TK telah disuguhi dengan pembelajaran daring, yaitu melalui media whatsapp dan siswa diminta belajar bersama orang tuanya di rumah. Hal ini yang menyebabkan guru sulit memberikan dan menjelaskan materi pengenalan huruf  ketika sudah PTM di sekolah. Selain itu, media yang digunakan guru dalam pengenalan huruf juga kurang variatif. Hal inilah yang membuat kemampuan mengenal huruf dan membaca siswa di TK Aisiyah Bustanul Athfal V Pekanbaru belum bisa mencapai target sekolah. Oleh karena itu, Universitas Muhammadiyah Riau (UMRI) merasa terpanggil untuk membantu permasalahan yang tengah dihadapi oleh mitra melalui pelaksanaan PKM ini. Program ini dilakukan dalam dua bentuk, yaitu pertama melatih guru-guru untuk mampu membuat konten pengenalan huruf yang menarik dan interaktif. Yang kedua membuat video animasi berbasis android. Sebelumnya, media pembelajaran berbasis video animasi pengenalan huruf ini merupakan hasil penelitian pengabdi yang belum dipublikasikan tetapi sudah dievaluasi serta telah diujikan kepada responden, yang hasilnya dinilai praktis oleh guru dan peserta didik sebesar 86,66% dan 88,72% dalam kategori sangat praktis, sehingga dapat meningkatkan minat belajar siswa dalam mengenal huruf dan literasi membaca.
Pengolahan Jahe (Zingiber Officinale) Menjadi Puding Herbal Guna Meningkatkan Daya Tahan Tubuh Masyarakat di Desa Pulau Rengas
Authors: Nabillah Syilsilia Rizkiani , Nursyamsyah Ai , Purwanto Hadi , M.S Aliyah Faradina , Ghibran Ghifahri
Published: January 2024

Family medicinal plants or what are usually called TOGA are plants that can be cultivated in the home garden and have benefits as herbal medicines. Family medicinal plants can be an effort to prevent disease. The family medicinal plant used in this activity is ginger (Zingiber Officinale). Ginger is a plant from the Zingiberaceae tribe in the form of a rhizome which is very popular as a spice and medicinal ingredient. Because it is easy to find in traditional markets and is well known in the community. The activity was carried out in Pulau Rengas Village, Pangean District, Kuantan Singingi Regency, Riau. The aim of this activity is to provide education and encourage people to maintain and increase their immune system by consuming processed ginger products in the form of ginger pudding. Apart from that, it is hoped that the community can use their home gardens as a health aspect by planting family medicinal plants, namely ginger, in their yards. As a result, the people of Rengas Island Village can take advantage of the ginger planting and process it to make a product that is useful for increasing the body's immune system.
Pemetaan Tingkat Bahaya Banjir Menggunakan Metode Penginderaan Jauh Di Kecamatan Jatinegara Kota Administrasi Jakarta Timur
Authors: Seftiani Fini , Muzani Muzani , Handawati Rayuna
Published: January 2024

Bencana banjir yang sering terjadi baik terjadi akibat intensitas hujan yang deras ataupun luapan sungai ke daratan. Penelitian ini mengkaji pemetaan tingkat bahaya banjir di Kecamatan Jatinegara. Lokasi ini dipilih karena merupakan wilayah perkotaaan yang memiliki pemukiman padat penduduk dan dilewati oleh aliran sungai yang memiliki potensi wilayah bahaya banjir. Tingkat bahaya banjir dianalisis menggunakan parameter penggunaan lahan, curah hujan tahunan, ketinggian, kemiringan lereng dan kerapatan drainase. Metode yang digunakan adalah metode deskriptif kuantitatif dan penginderaan jauh untuk menghitung serta mendeskripsikan perhitungan parameter bahaya banjir. Pengolahan data menggunakan software ArcGis 10.5 dengan unit analisis 45unit lahan yang ada di Kecamatan Jatinegara. Hasilnya tingkat bahaya banjir di Kecamatan Jatinegara didapatkan area bukan wilayah banjir dan wilayah banjir. Bukan wilayah banjir memiliki luas 438,51 ha. Wilayah banjir memiliki 3 klasifikasi yaitu rendah dengan luas 64,22 ha atau 10,88% dari luas wilayah banjir, klasifikasi sedang dengan luas 310 ha atau 52,54% dari luas wilayah banjir, dan klasifikasi tinggi dengan luas 215,83 ha atau 36,58% dari luas wilayah banjir.
Analisis Variabilitas Emisi Karbon Monoksida Selama Penyelenggaraan MotoGP di Kabupaten Lombok Tengah
Authors: Giananti Attiya Shakila , Hanggadireksa Bimo , Rohman Muhammad Faisal , Syahputra Rizki , Saputra Agung Hari
Published: January 2024

Event MotoGP merupakan salah satu event olahraga yang populer di dunia. Namun, event ini juga dapat mengeluarkan emisi karbon monoksida (CO) yang dapat mempengaruhi kualitas udara di wilayah sekitar. Pada event MotoGP, emisi karbon monoksida merupakan salah satu jenis emisi yang dapat dihasilkan oleh mesin motor yang digunakan. Emisi karbon monoksida ini dapat mempengaruhi kualitas udara di sekitarnya dan dapat berdampak pada kesehatan manusia. Oleh karena itu, penting untuk mengetahui tingkat emisi karbon monoksida yang disumbangkan dari event MotoGP di berbagai lokasi dan bagaimana emisi tersebut mempengaruhi kualitas udara di sekitarnya. Untuk pertama kalinya, event MotoGP diadakan di Indonesia, tepatnya di daerah Lombok Tengah.  Event ini berlangsung pada tanggal 11 s.d. 20 Maret 2022 dimana hal ini memungkinkan untuk terjadinya peningkatan kadar karbon monoksida. Penelitian ini dilakukan dengan tujuan untuk mengetahui variabilitas sebaran kadar karbon monoksida (CO) mulai dari sebelum hingga setelah event MotoGP dilakukan. Dalam penelitian ini data diperoleh dari data citra satelit Sentinel 5P / TROPOMI dan diolah menggunakan Google Earth Engine. Hasil penelitian ini menunjukkan bahwa emisi karbon monoksida tertinggi di daerah Lombok Tengah terjadi pada puncak pelaksanaan event motoGP (20 Maret 2022). Emisi karbon cenderung mengalami peningkatan tiap perubahan periode. Berdasarkan data emisi CO tiap kecamatan di Kabupaten Lombok Tengah, kecamatan dengan emisi tertinggi adalah kecamatan Praya Timur dan Pujut dan kecamatan dengan emisi terendah adalah kecamatan Batukliang.
PENGEMBANGAN MEDIA PEMBELAJARAN VLOG (VIDEO BLOGGING) PADA MATERI PENGETAHUAN DASAR GEOGRAFI DI KELAS X IPS SMA NEGERI 1 TAPA
Authors: Abas Komala Dewi , Nurfaika Nurfaika , Mohamad Nurdin
Published: January 2024

A vlog is a video containing opinions, stories or daily activities which are usually written on a blog. Vlogs can be used as learning media because they are easy to create and manage by anyone. This research aims to develop learning media using Vlog (Video Blogging). The method used in the research is development research with the ADDIE model. The results of this research can be concluded that the development of learning media using Vlog (Video Blogging) has passed validity trials by material experts who got a percentage score of 86.66%, the next validator is a product expert validator who got a percentage score of 95.55% and finally by an expert validator learning which obtained a percentage of 88.57%. The results of students' responses to learning media using Vlog (Video Blogging) Basic Geography Knowledge material were carried out twice, namely a limited scale test and a general scale test. The limited test in class X-1 SMAN 1 Tapa got a result of 87.2%, while the general test in class Vlog (Video Blogging) can be used in the learning process in class related to basic Geography Knowledge material. Keywords: Vlog, Video Blogging, Basic Geography Knowledge, ADDIE
Efectos de largo plazo del Programa de Transferencias Monetarias Condicionadas, Familias en Acción, en la Inclusión Productiva de los productores de café en Colombia
Authors: Córdoba Claudia Carolina
Published: January 2024

En este artículo se presentan los efectos de largo plazo del programa de Transferencias Monetarias Condicionadas (TMC), Familias en Acción, en la inclusión productiva de los caficultores en Colombia. Estos efectos de largo plazo se estiman con el fin de evaluar las posibles sinergias en inclusión productiva y reducción de la pobreza que puede experimentar una población que ha recibido, de forma simultánea, por al menos una década, un programa de Transferencias Monetarias Condicionadas más un conjunto de bienes públicos dirigidos a impulsar su capacidad productiva para la generación de ingresos. Los resultados destacan que las sinergias entre los programas de TMC y los de Inclusión Productiva pueden explotarse mejor si ambos programas están diseñados para llegar a la misma población, en el mismo periodo de tiempo y se mantienen juntos por un periodo de tiempo largo.
Rubus puyumaensis, a new species of Rosaceae from Taiwan
Authors: Chen Po-Hao , Huang Juinn-Yih , Chung An-Ching
Published: January 2024

The genus Rubus L. (Rosaceae), comprising approximately 750 species and classified into 12 subgenera, is distributed worldwide and is one of the largest plant genera. In Taiwan, Rubus comprises 41 taxa, including 35 species, three varieties and three hybrids. Amongst the genus Rubus, the species, previously recorded as R. howii in Taiwan, was misidentified and this study recognised it as a new species.

Due to its distribution mainly in south-eastern Taiwan, we named this new species as Rubus puyumaensis, after the local aborigine tribe Puyuma. Taxonomic descriptions and colour photographs of the new species are provided to assist in identification. R. puyumaensis is most similar to R. howii and R. refractus. They can be distinguished by the colour of young leaves, leaf shape, arrangement of florets, trichomes of inflorescences, size of sepal lobes, petal colour, types and trichomes of filaments and the length of stamens and pistils.
Two new species of Rhizoplaca (Lecanoraceae) from Southwest China
Authors: Zhang Yanyun , Yin Yujiao , Wang Lun , Printzen Christian , Wang Lisong , Wang Xinyu
Published: January 2024

In this study, two new species, Rhizoplaca adpressa Y. Y. Zhang & Li S. Wang and R. auriculata Y. Y. Zhang, Li S. Wang & Printzen, are described from Southwest China, based on their morphology, phylogeny and chemistry. In phylogeny, the two new species are monophyletic, and sister to each other within Rhizoplaca chrysoleuca-complex. Rhizoplaca adpressa is characterized by its placodioid and closely adnate thallus, pale green and heavily pruinose upper surface, narrow (ca. 1 mm) and white free margin on the lower surface of marginal squamules, the absence of a lower cortex, and its basally non-constricted apothecia with orange discs that turn reddish-brown at maturity. Rhizoplaca auriculata is characterized by its squamulose to placodioid thallus, yellowish green and marginally pruinose squamules, wide (1−3 mm) and bluish-black free margin on the lower surface of marginal squamules, the absence of a lower cortex, and its basally constricted apothecia with persistently orange discs. Rhizoplaca adpressa and R. auriculata share the same secondary metabolites of usnic and placodiolic acids.
Modeling the SARS-CoV-2 sublineages XBB and BQ.1 in Mexico, considering multiple vaccinations, booster dose, waning immunity and cross-immunity
Authors: de León Ugo Avila-Ponce , Pérez Angel G. C. , Avila-Vales Eric
Published: January 2024

In a population with ongoing vaccinations, the trajectory of a pandemic is determined by how the virus spreads in the unvaccinated, vaccinated without boosters, and vaccinated with boosters, which will exhibit distinct transmission dynamics based on different levels of natural and vaccine-induced immunity. We found that enhancing the use of face masks in a partially vaccinated population is associated with a reduction of new infections, hospitalizations, and deaths. We highly recommend the use of a face mask with at least a 50% efficiency, such as improved cloth and surgical face masks, due to its effectivity and cost ratio. Our simulations indicated that there may be two upcoming Omicron waves (in the last months of 2022 and in May 2023). The magnitude of these waves will be 75% and 40% lower than their prior wave. Moreover, the size of these waves is heavily influenced by immunity parameters like waning immunity and cross-immunity protection. Hence, we recommend continuing the use of face masks to decrease transmission because we are not developing sterilizing immunity if we get infected by a prior sublineage, meaning that we can still get infected regardless of the acquired immunity.
The effect of innovation performance on the adoption of human resources analytics in business organizations
Authors: Bonilla-Chaves Eithel F. , Palos-Sánchez Pedro R. , Folgado-Fernández José A. , Marino-Romero Jorge A.
Published: January 2024

Our study objective is to examine the determinants that influence the adoption of human resource (HR) analytics, along with the influence of the external variable called Innovation Performance. The research model was developed by adapting the theoretical model of the unified theory of the acceptance and use of technology (UTAUT) by adding the external variable, Innovation Performance. The data was collected using a survey at Amazon Mechanical Turk (MTurk) in the USA. Initially, a total of 602 responses were obtained. Finally, a total of 554 questionnaires were obtained after using information quality filters for debugging. This study reveals that the main influence on the adoption of HR analytics is exerted by performance expectancy, social influence, facilitating conditions, and innovation performance on behavioral intention. Likewise, facilitating conditions, innovative performance, and behavior intention are the major influences for Use Behavior. This was found from an empirical analysis using the generalized structured component analysis (GSCA) software package that shows, with tabled data, the major relationships of the research model. This research into the use of HR Analytics investigated the standard determinants of UTAUT and the Innovation Performance external variable, that influence the adoption of HR analytics in business organization.
An optimization method for wireless sensor networks coverage based on genetic algorithm and reinforced whale algorithm
Authors: Sun Shuming , Chen Yijun , Dong Ligang
Published: January 2024

In response to the problem of coverage redundancy and coverage holes caused by the random deployment of nodes in wireless sensor networks (WSN), a WSN coverage optimization method called GARWOA is proposed, which combines the genetic algorithm (GA) and reinforced whale optimization algorithm (RWOA) to balance global search and local development performance. First, the population is initialized using sine map and piecewise linear chaotic map (SPM) to distribute it more evenly in the search space. Secondly, a non-linear improvement is made to the linear control factor 'a' in the whale optimization algorithm (WOA) to enhance the efficiency of algorithm exploration and development. Finally, a Levy flight mechanism is introduced to improve the algorithm's tendency to fall into local optima and premature convergence phenomena. Simulation experiments indicate that among the 10 standard test functions, GARWOA outperforms other algorithms with better optimization ability. In three coverage experiments, the coverage ratio of GARWOA is 95.73, 98.15, and 99.34%, which is 3.27, 2.32 and 0.87% higher than mutant grey wolf optimizer (MuGWO), respectively.
On the date of the epidemic peak
Authors: Moussaoui Ali , Meziane Mohammed
Published: January 2024

Epidemiologists have used the timing of the peak of an epidemic to guide public health interventions. By determining the expected peak time, they can allocate resources effectively and implement measures such as quarantine, vaccination, and treatment at the right time to mitigate the spread of the disease. The peak time also provides valuable information for those modeling the spread of the epidemic and making predictions about its future trajectory. In this study, we analyze the time needed for an epidemic to reach its peak by presenting a straightforward analytical expression. Utilizing two epidemiological models, the first is a generalized $ SEIR $ model with two classes of latent individuals, while the second incorporates a continuous age structure for latent infections. We confirm the conjecture that the peak occurs at approximately $ T\sim(\ln N)/\lambda $, where $ N $ is the population size and $ \lambda $ is the largest eigenvalue of the linearized system in the first model or the unique positive root of the characteristic equation in the second model. Our analytical results are compared to numerical solutions and shown to be in good agreement.
Investigating the Shipton Hoard
Authors: Fenlon Iain
Published: January 2024

In August 1840 a letter published in The Musical World announced the discovery of “four large iron chests filled with music-books”, some of great rarity, which have never been recovered. The truth is that the announcement is a hoax. But who perpetrated it? This essay sifts the evidence and attempts to solve the mystery.
Profectio Moysis in Aegyptum (1784): A “Fake” Neapolitan Oratorio?
Authors: Boaro Eric
Published: January 2024

One manuscript of an oratorio in I-Mc dating from 1784 is described, on its title page, as a pasticcio by “celebrated Neapolitan maestri”. I suggest that the source is actually a forgery and linked to three non-Neapolitan composers. The inference is that it was associ- ated with Naples purely for marketing reasons.
The “Authenticity” of the Reconstruction of Missing Parts? Some Reflections on a Misplaced Problem
Authors: Toffetti Marina
Published: January 2024

Some would argue that the idea we get of a composer by listening to his incomplete music in which a voice has been reconstructed is not “authentic”. But the idea we can get of him by ignoring his incomplete compositions altogether, as if they never existed, is much less “authentic”. The article examines the issue and validity of the reconstruction of polyphonic music with one or more missing parts in critical editions from a philosophical, philological and practical point of view and establishes some criteria for the acceptability of the results.
Authorship and Attribution in the Wurstisen Lute Book
Authors: Genov Yavor
Published: January 2024

The so called Wurstisen Lute Book (CH-Bu, Ms. F.IX.70) is a remarkable anthology containing a huge repertory that was written down in German lute tablature at the end of the sixteenth century. Serving most likely as a private music collection, it relatively infrequently contains names or indications of authors. The present article deals with what the scribe has left in the way of indications, shedding more light on, and interpreting, some of them. Additionally, the research suggests some sources that may have been at the disposal of the compiler, Emanuel Wurstisen, or were possibly related to his book when they came to be printed years later.
Debussy’s Old Hindu Chant (La Boîte à joujoux): Exotic Humorous Fakery and Rejuvenation of Music
Authors: Lassauzet Benjamin
Published: January 2024

Debussy’s ballet for children La Boîte à joujoux (1913) contains a fake “Old Hindu chant”. But the comic fakery seems to provide the key to understanding the deep meaning of the ballet, in which Debussy strives to rejuvenate and revitalize Western music by referring to the so-called spontaneity of both childhood and foreign traditions, for the sake of recovered authenticity.
Elevating Physical Education Teacher Through Technology Integration
Authors: AlKasasbeh Walaa Jumah , Amawi Adam Tawfiq
Published: January 2024

This paper explores how the integration of educational technology (EdTech) has been incorporated into the field of physical education (PE) and explores the difficulties encountered by Physical Education teachers (PETs) in successfully implementing technology. Through a systematic secondary literature review spanning the past decade, this paper identifies several key challenges, including unpreparedness, a trial-and-error approach, a shift in teaching priorities, and variations in teacher effectiveness. These challenges underscore the pressing need for readiness, adaptability, and preparation in the face of unforeseen disruptions, particularly in the context of online instruction. This study presents substantial recommendations to address these issues, emphasizing the pivotal role of technology-infused teacher education programs and advocating for Physical Education teachers’ education (PETE) faculty to embrace technology leadership. By implementing these recommendations, PETE programs can better equip preservice teachers and faculty members to harness technology for more effective learning experiences. Consequently, this endeavor aims to elevate the quality of PE in our increasingly digitalized era.
An In-Depth Review of ChatGPT’s Pros and Cons for Learning and Teaching in Education
Authors: Samala Agariadne Dwinggo , Zhai Xiaoming , Aoki Kumiko , Bojic Ljubisa , Zikic Simona
Published: January 2024

As technology progresses, there has been an increasing interest in using Chatbot GPT (Generative Pre-trained Transformer) in education. Chatbot GPT, or ChatGPT, gained one million users within the first week of launching in November 2022 and had amassed over 100 million active users by February 2023. This type of artificial intelligence uses natural language processing to convert it into a user. This paper presents a comprehensive analysis and review of 34 articles published on ChatGPT and its potential impact on education by utilizing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. This review analyzed various studies and articles to examine the strengths and limitations of GPT language models in education from 2018 to the present. The advantages of ChatGPT include its capacity to provide personalized and adaptive learning, instant feedback, and improved accessibility. However, there are potential drawbacks, such as the lack of emotional intelligence, the risk of overreliance on technology, and privacy concerns. This review suggests that ChatGPT has significant promise for education yet reinforces the necessity for further research and careful consideration of possible risks and limitations. Specifically, it pointed out potential invisible manipulations by instructing ChatGPT to answer educationrelated topics. The paper concludes by discussing the implications of ChatGPT for the future of education and emphasizing the need for further research in this field.
Adaptive and Personalized Learning in Industry 5.0 Education
Authors: Singh Harshit , Chauhan Usha , Chauhan S. P. S. , Saxena Agrima , Kumari Priti
Published: January 2024

The advent of Industry 5.0, characterized by advanced automation, interconnected systems, and data-driven decision-making, has revolutionized traditional industries, necessitating a highly skilled and adaptable workforce. This chapter explores the integration of adaptive and personalized learning strategies within the framework of Industry 5.0 education. By leveraging technological advancements such as artificial intelligence and machine learning, adaptive learning tailors educational content, pacing, and assessments to individual learners' needs, fostering engagement and knowledge retention. Personalized learning approaches enhance Industry 5.0 education by creating contextually relevant and immersive learning environments through simulations, virtual reality, and real-world case studies.
Artificial Intelligence and Machine Learning in Smart Education
Authors: Sharma Sheelesh Kumar , Dixit Ram Jee , Rai Deepshikha , Mall Shalu
Published: January 2024

Artificial intelligence and machine learning have the potential to transform education by making it more effective, personalized, and engaging. In the context of smarter education, these technologies can be used in many ways to enhance learning for students and teachers: Intelligent Content Creation: AI can create learning content such as quizzes, exercises, and interactive experiments based on the specific needs of the course; Education Analysis: AI can analyze data from a variety of sources, such as student interactions with lessons, attendance records, and assessment results to understand learning patterns and trends. Teachers can use this information to identify struggling students, adjust instruction, and create interventions to improve overall learning; Automatic Grading and Feedback: Machine learning algorithms can grade assignments and tests, providing instant feedback to students. These technologies allow students to explore complex concepts in a practical and engaging way, making learning more effective and memorable.
Conventional to Modern Agriculture Using Artificial Intelligence
Authors: Tripathi Smrati , Jeet Prasen , Khan Rijwan , Srivastava Akhilesh Kumar
Published: January 2024

Because of increased pollution and population, the agriculture system is being affected drastically. New technologies should be implemented in this sector. The author discussed irrigation techniques and patterns using artificial intelligence that can change our irrigation process and minimize water consumption. Artificial intelligence approaches for soil fertility properties, the connection between soil quality, effect of fertiliser on soil possession and crop fecundity, season's growth, modelling of some soil properties, and estimation of polluted soil are being discussed. One more essential factor that reduces crop growth, quality, and yield is called weeds. Different types of weed control applications using ANN and ANFIS model have been discussed. To minimize monetary losses for farmers, disease control becomes a necessary parameter for better crop production. Image-based strategies using machine learning and deep learning for exact location, order of the disease, for precise and accurate identification have been considered.
Wheat Crop Disease Detection and Classification Using Machine Learning
Authors: Dixit Nitin , Arora Rakhi , Gupta Deepak
Published: January 2024

The fundamental significance of agriculture in preserving human life and providing necessary resources has led to frequent references to it as the “backbone of human civilization.” In human cultures all over the world, the agricultural sector has played a significant role. In today's world, emerging technologies play a very important role in the agriculture sector. Machine learning is one of them; machine learning significantly contributes to the transformation of agriculture by facilitating data-driven decision-making, enhancing productivity, and optimizing numerous processes. There are so many areas where machine learning can be applied in agriculture processes like crop and soil monitoring, yield prediction, pest and disease management, etc. Pests and diseases are major obstacles to achieving higher productivity. The creation of effective techniques for the automatic detection and forecasting of pests and illnesses in crops is very much important. In this chapter, the authors use different machine-learning algorithms to detect early signs of pests, diseases, and weed infestations in crops.
Load Balancing Techniques in Cloud Computing
Authors: Talukdar Veera , Kurniullah Ardhariksa Zukhruf , Keshwani Palak , Khan Huma , Pramanik Sabyasachi , Gupta Ankur , Pandey Digvijay
Published: January 2024

In a cloud framework, conveyed figuring is a flexible and modest area. It permits the development of a strong environment that supports pay-per-view while taking client demands into account. The cloud is a grouping of replicated approaches that collaborate as one computing system with constrained scope. Spread management's main goal is to make it simple to provide consent to distant and geographically distributed resources. Cloud is taking little steps in the direction of a turn while dealing with a massive array of issues, among them organizing. There are many methods for determining how to correspond with the volume of work that a PC structure is expected to complete. According to the evolving scenario and such an effort, the scheduler modifies the occupations' coordinating situation. The suggestion for thinking Improvements to the assignment movement combination planning estimate have been made for assessment with FCFS and least fulfillment time booking and expert execution of initiatives.
Mastering Cloud Scalability
Authors: Patel Kaushikkumar
Published: January 2024

This chapter takes the reader on a journey through the world of cloud scalability, showing how crucial it is in today's digital world. It starts with the basics and then dives deep into understanding scalability, from how we measure it to new ways of building scalable systems. It also explores the balance between scalability, security, and following the rules. When it comes to real-world problems, the chapter offers practical solutions based on industry knowledge. Finally, it looks to the future, suggesting exciting new areas for research in the ever-changing digital landscape. Whether you're an IT pro, a business leader, or a researcher, this chapter offers valuable insights into the world of cloud scalability.
Integration of Data Science and Cloud-Based IoT Networks
Authors: Narayana Rao T. Venkat , Rao M. Raghavendra , Bhavana S.
Published: January 2024

In contemporary times, data science has made significant strides across various commercial domains, spanning business, finance, space science, healthcare, telecommunications, and the Internet of Things (IoT). The IoT emerges as a pivotal platform, orchestrating the convergence of people, processes, data, and physical objects to enhance our daily lives.. In light of these considerations, this chapter explores diverse frameworks for synchronized data processing, leveraging the strengths of various platforms. Numerous challenges impede the seamless integration of cloud computing, IoT, and data science collaboration. The integration of cloud and IoT offers a promising avenue to surmount these challenges, harnessing the wealth of data resources available in the cloud. This chapter presents a comprehensive overview of the technologies involved in merging data science with cloud-based IoT; this would expand the cloud capabilities and scope to scale for higher data storage and accessibility along with examining their advantages and confronting the associated challenges.
AI-Driven Cloud Computing to Revolutionize Industries and Overcome Challenges
Authors: Poonguzhali S. , Revathi A.
Published: January 2024

In recent years, the convergence of artificial intelligence (AI) and machine learning (ML) with cloud computing has sparked a revolution in the way businesses process, analyze, and utilize data. This synergy has paved the way for unprecedented advancements in various industries, from healthcare to finance, manufacturing to entertainment. This chapter explores the profound impacts of AI and ML integration in cloud computing, dissecting their implications on scalability, efficiency, security, and innovation. The integration of AI and ML algorithms within cloud computing infrastructures has led to a paradigm shift in the processing and analysis of large-scale datasets. Leveraging the extensive computational power and storage capabilities of cloud platforms, AI-driven models have demonstrated remarkable proficiency in tasks ranging from image and speech recognition to natural language processing. This has empowered businesses to extract valuable insights and automate complex processes, significantly enhancing operational efficiency.
Digital Labor
Authors: Dölkeleş Gülce
Published: January 2024

Today, with the rapid development of technology, the number and importance of people operating in digital fields are increasing. Digital labor includes the processes of producing, creating, and distributing information using the internet, computers, and digital technologies. Digital labor is a concept that brings the concept of traditional business to digital fields. Studies on the internet, social media, blogs, video platforms, and other digital media are examples of digital labor. This type of labor includes a variety of skills and may require expertise in areas such as creative thought, digital marketing, content production, written and visual communication. This study discusses what digital labor is, its role in content production, and its current importance.
Characterization Methods for Assessing Hybrid Nanomaterial Performance
Authors: Sagar Prem , Sangwan Sushma
Published: January 2024

The rapid development of nanotechnology has led to the emergence of hybrid nanomaterials with diverse applications across various fields. These materials combine different types of nanoparticles, organic molecules, or polymers to achieve enhanced properties and multifunctionality. To fully exploit the potential of hybrid nanomaterials, accurate and comprehensive characterization methods are crucial for assessing their performance and understanding their structure-function relationships. Characterization techniques such as electron microscopy, spectroscopy, and atomic force microscopy play a pivotal role in unravelling hybrid nanomaterials' intricate structures and properties, facilitating their integration into cutting-edge technologies and innovative solutions. This chapter aims to provide an in-depth exploration of the characterization techniques employed to evaluate the performance of hybrid nanomaterials, showcasing their significance in guiding material design and application development.
Prevalence and clinical correlates of restless legs syndrome in psychiatric patients: A cross-sectional study from North India
Authors: Aneja Jitender , Singh Jawahar , Udey Bharat
Published: January 2024

Background:

Restless legs syndrome (RLS) is a neuro-sensorimotor disorder which is scarcely researched and is commonly missed in routine psychiatry practice.

Aim:

To evaluate the prevalence of RLS and its correlates in patients with anxiety, depression, and somatoform disorders.

Methods:

A cross-sectional single-center study was undertaken in patients aged 18–65 years suffering from ICD-10 (International Statistical Classification of Diseases-10th edition) diagnosis of anxiety, depressive, and somatoform disorders. RLS was evaluated by using diagnostic criteria of International Restless Legs Syndrome Study Group (IRLSSG) and severity measured on IRLSSG scale. Depression and anxiety were rated on Hamilton Depression and Anxiety Rating Scales respectively, insomnia severity measured by Insomnia Severity Index (ISI), and quality of life measured by WHO Quality of Life-Brief version (WHO-QOL BREF) scale. Serum ferritin levels were measured for evaluating iron deficiency.

Results:

The rate of RLS was 66.7%, 50%, and 48% in patients with depressive, anxiety, and somatoform disorders, respectively, with no significant inter-group difference. Nearly one-third of patients suffered from severe to very severe symptoms of RLS, and quality of life was poorest in those with depressive disorders. RLS was significantly higher in females (P = 0.019), who were married (P = 0.040), diagnosed with severe depression (P = 0.029), and abused benzodiazepines (P = 0.045). On binary logistic regression, female gender and presence of clinical insomnia predicted occurrence of RLS.

Conclusion:

The prevalence of RLS is very high in patients with common psychiatric disorders which is often missed. Clinical enquiry and examination for reversible causes such as iron deficiency may assist in its diagnosis and improve clinical outcome.
Risk factors for coercion length at psychiatric hospitals in Israel: Relationship with staff
Authors: Miodownik Chanoch , Friger Michael D. , Teitelbaum Alexander , Demchuk Natalya , Zhuk Alexandra , Agababa Tsipora , Sokolik Shmuel , Lerner Paul P. , Calfon Nitsa , Lerner Vladimir
Published: January 2024

Background:

Coercive interventions continue to be applied frequently in psychiatric care when patients are at imminent risk of harming themselves and/or others.

Aim:

The purpose of this study was to demonstrate the relationship between the length of coercion and a variety of factors, including the sociodemographic background of patients, their diagnoses and the characteristics of hospital staff.

Methods:

This is a one-year cross-sectional retrospective study, including records of 298 patients who underwent restraint and/or seclusion interventions in male acute, closed wards in two psychiatric hospitals in Israel.

Results:

A higher proportion of academic nurses to nonacademic nurses on duty leads to a shorter coercion time (P < 0.000). The number of male staff on duty, without any relation to their level of education, also leads to the shortening of the coercion time.

Conclusion:

The presence of registered, academic female nurses, male staff on duty and the administration of medication before coercive measures can reduce the length of restriction.
Laparoscopic vs open surgery for gastric cancer: Assessing time, recovery, complications, and markers
Authors: Lu Yun-Yao , Li Yun-Xiao , He Meng , Wang Ya-Li
Published: January 2024

BACKGROUND

Gastric cancer (GC) is one of the most common cancers worldwide. Morbidity and mortality have increased in recent years, making it an urgent issue to address. Laparoscopic radical surgery (LRS) is a crucial method for treating patients with GC; However, its influence on tumor markers is still under investigation.

AIM

To determine the effects of LRS on patients with GC and their serum tumor markers.

METHODS

The data of 194 patients treated at Chongqing University Cancer Hospital between January 2018 and January 2019 were retrospectively analyzed. Patients who underwent traditional open surgery and LRS were assigned to the control (n = 90) and observation groups (n = 104), respectively. Independent sample t -tests and χ 2 tests were used to compare the two groups based on clinical efficacy, changes in tumor marker levels after treatment, clinical data, and the incidence of postoperative complications. To investigate the association between tumor marker levels and clinical efficacy in patients with GC, three-year recurrence rates in the two groups were compared.

RESULTS

Patients in the observation group had a shorter duration of operation, less intraoperative blood loss, an earlier postoperative eating time, and a shorter hospital stay than those in the control group (P < 0.05). No significant difference was observed between the two groups regarding the number of lymph node dissections (P > 0.05). After treatment, the overall response rate in the control group was significantly lower than that in the observation group (P = 0.001). Furthermore, after treatment, the levels of carbohydrate antigen 19-9, cancer antigen 72-4, carcinoembryonic antigen, and cancer antigen 125 decreased significantly. The observation group also exhibited a significantly lower incidence rate of postoperative complications compared to the control group (P < 0.001). Additionally, the two groups did not significantly differ in terms of three-year survival and recurrence rates (P > 0.05).

CONCLUSION

LRS effectively treats early gastric cancer by reducing intraoperative bleeding, length of hospital stays, and postoperative complications. It also significantly lowers tumor marker levels, thus improving the short-term prognosis of the disease.
Can African environmental ethics help in weathering Gardiner’s storm?
Authors: Van Jaarsveld Jessica
Published: January 2024

African environmental ethics (AEE) encompasses specific features that make it well-equipped to tackle many of the ethical issues posed by climate change. In particular, the African prescription to foster harmonious relations between oneself and other humans, non-human animals and nature as a whole, and the African notion of land ownership enable AEE to offer the moral and theoretical resources needed to deal with the climate change problem. I use Stephen Gardiner’s analysis - which likens climate change to a perfect moral storm - to show that traditional AEE can handle climate change’s most challenging aspects. Since, as Gardiner proposes, we lack an ethical theory capable of responding to the challenges posed by this perfect moral storm, it is significant to show the benefits that the African ethical approach offers in this regard. Such a systematic analysis, that uses Gardiner’s storm as a basis, has not been undertaken before.
Experiences of childlessness and adoption in marriage among Basotho: A two-cohort phenomenological study
Authors: Thabane Sophia
Published: January 2024

This article reports a two-cohort study conducted among adoptive parents in Maseru and Maputsoe Lesotho, in 2014 and 2019, with African research philosophy underpinning the study. The article reports data collected from 13 adoptive parents (eight parents in Cohort one and five parents in Cohort two) using in-depth interviews and later analysed through a six-step discourse analysis. In this regard, the role of elders in participants’ extended families were taken into account upon the study’s conceptualisation and implementation. The article focuses on participants’ reports of their experiences of both family childlessness and adoption. Women in Cohort one reported being abused by husbands and in-laws and excluded from family decisions. A woman in Cohort two reported being  excluded from social activities by her erstwhile friend subsequent to adopting. From a phenomenological standpoint, the participants attributed their treatment from husbands, in-laws, and friends to their family childlessness and adoption that is happening in a Basotho socio-cultural environment where it is not the norm.

How to reference using ASWNet style:

Thabane S. (2023). Experiences of childlessness and adoption in marriage among Basotho: A two-cohort phenomenological study African Journal of Social Work, 13(3), 136-146. https://dx.doi.org/10.4314/ajsw.v13i3.2

Visit journal website: https://ajsw.africasocialwork.net