bluuebunny/crossref_metadata_2025 huggingface dataset:
Ground-Level Alternobaric Vertigo: A Contemporary Perspective on Eustachian Tube Dysfunction and Balance
Authors: Kim Hee-Young
Published: July 2024

This chapter delves into Ground-Level Alternobaric Vertigo (GLAV), with a particular emphasis on its interaction with Eustachian Tube Dysfunction (ETD). GLAV’s prevalence under normal ground-level conditions is gaining attention, highlighting the need for improved understanding and clinical differentiation. Our investigation begins with an examination of GLAV etiology and symptoms before moving on to the evolution of diagnostic and treatment techniques. We track the route from first misdiagnoses to improved comprehension, using sophisticated diagnostics such as tympanometry and encouraging Eustachian tube catheterization. The incorporation of current breakthroughs in GLAV detection and therapy is an important component of this chapter. This includes a full assessment of innovative pharmacological therapies and tactics for managing middle ear cavity pressure, emphasizing the necessity of continuous research for increased diagnostic precision and knowledge of long-term effects. The chapter’s contribution is to advocate for a reevaluation of historical and contemporary vertigo cases for correct diagnosis. It promotes the use of tympanometry in diagnostic protocols and emphasizes the need of joint research in the field of vestibular diseases. This all-encompassing approach makes the chapter an essential resource for healthcare practitioners and academics, matching the dynamic growth of medical knowledge and practices in vestibular sciences.
The Argentine State and the Transfer of Immigrants to the Country (1850–1914)
Authors: Fernández Alejandro
Published: July 2024

Argentina was the second recipient country of transatlantic immigrants until 1930. Most of them arrived through migratory chains of relatives and countrymen, who financed and managed the transfers autonomously without using subsidies. However, at different times in the second half of the nineteenth century and the beginning of the twentieth century, the Argentine state-developed plans to finance the travel tickets of emigrants based on the assumption that their future contribution to the national economy as producers and consumers would have to justify the expense incurred. In addition, the state created facilities to house emigrants for a period after their arrival, inform them of work opportunities and transport them free of charge to places in the interior of the country where they wished to settle. In some cases, these plans left the management of the transfer of emigrants in the hands of the state itself, while in others, they proposed using agreements with the shipping companies that covered the South Atlantic route. The chapter will analyze these plans to attract emigrants, investigating the aspects that were put into practice and the reasons why in other cases they failed.
Sideband Peak Count – a new nonlinear ultrasonic technique for monitoring damage progression in engineering materials
Authors: Kundu Tribikram ,   University of Arizona, Zhang Guangdong ,   University of Arizona
Published: July 2024

Linear ultrasonic (LU) techniques used by majority of the researchers working in material damage monitoring, are reliable for detecting relatively large defects. If the defect dimensions are in the range of the ultrasonic wavelength or larger, then those defects can be detected by analyzing the scattered ultrasonic fields. Material damage affects LU parameters such as ultrasonic wave speed and attenuation and their changes are detectable for relatively large defects. However, for small defects (when defect dimensions are significantly smaller than the wavelength of the propagating signal) the changes in the LU parameters are too small to detect or measure reliably. For detecting small defects engineers often use high frequency ultrasonic signals to make the defect dimensions greater than the wavelength. However, high frequency signals attenuate quickly and therefore, only very small regions near the ultrasonic probe can be inspected in this manner. Inspecting large structures by high frequency ultrasonic signals requires moving the probe mechanically from one point to the next and therefore, can be very time consuming. Nonlinear ultrasonic (NLU) technique on the other hand does not need to satisfy this restricting condition that the wavelength of the signal must be smaller than the defect size. NLU works well when the signal wavelength is much larger than the defect size. Therefore, relatively low frequency signals that can propagate a long distance and monitor a large area of a structure can be used for NLU measurements. Different NLU techniques can be used for detection and monitoring of small damages in a specimen. A relatively new NLU technique called the Sideband Peak Count-Index or SPC-I technique has been developed by the author and his collaborators. SPC-I technique for monitoring different types of materials – composites, metals, concrete, and other cement-based materials has been found to be effective. Along with those success stories of SPC-I the effect of topography and the advantage of topological sensing is also discussed in this presentation.
Deep learning for ultrasound surface echo detection
Authors: Cosarinsky Guillermo ,   Spanish National Research Council (CSIC), Muñoz Mario , Cruza Jorge F. , Rubio Adrián , Camacho Jorge ,   Spanish National Research Council (CSIC),   Spanish National Research Council (CSIC),   Spanish National Research Council (CSIC),   Spanish National Research Council (CSIC)
Published: July 2024

Ultrasound array imaging techniques are often applied using a coupling medium to transmit waves from the transducer to the scanned component. In this type of tests, the echoes generated by the wave reflection at the component surface contain information that can be used to estimate the surface shape and its position relative to the probe, which are needed to compute the imaging focal laws. The most interesting feature to extract from surfaces echoes is the Time of Flight (TOF) for each reception channel. TOF measurement in acoustic signals is a problem that frequently arises not only in Non Destructive Testing (NDT), but also in medical imaging, geophysics and other fields. The surface echo in a signal is usually identified as the first high amplitude peak, and is traditionally detected with standard methods as threshold crossing, peak search or matched filters. All these methods are easily affected by Signal to Noise Ratio, which might be high in some channels, for example if the ray arrives at the corresponding element at a low sensibility angle. Moreover, spurious echoes from bubbles, the emission signal tail or echoes from other parts of the component can be incorrectly labelled as surface echoes. This kind of outliers are difficult to filter by conventional means and, thus, there is a need for more robust surface estimation methods. In this work, we study the application of a deep 3D Convolutional Neural Network (CNN) to detect surface echoes in Full Matrix Capture (FMC) ultrasound data. The CNN is trained using signals acquired with a matrix array and a reference component, using a robotic arm set-up to measure the probe position and orientation relative to the component. Thus, with knowledge of the set-up geometry, a model is used to compute the theoretical surface echo TOFs, which are used to label the data for training. The model was tested with a validation set, presenting good agreement with the ground truth. The results were compared with the threshold crossing method observing a significant reduction of outliers in the TOF estimation.
Smart inspection of rail wheels with matrix arrays
Authors: Würschig Thomas ,   Waygate Technologies (former GE Inspection Technologies), Franzen Andreas , Henrix Frank , Kahmann Frank , Chinta Prashanth Kumar , Werner Daniel ,   Waygate Technologies (former GE Inspection Technologies),   Waygate Technologies (former GE Inspection Technologies),   Waygate Technologies (former GE Inspection Technologies),   Waygate Technologies (former GE Inspection Technologies),   Waygate Technologies (former GE Inspection Technologies)
Published: July 2024

Rail wheels are one of the most safety critical safety components of rolling stock. Any failure can lead to

catastrophic events resulting in high material damage and personal injury or even fatalities. Therefore, international

railway standards require non-destructive inspection by means of ultrasound testing (UT) on a regular basis. Due

to increasing distances, loads and speeds there are increasing demands on the precision and the scope of testing.

However, the inspection of train wheels is complicated due to the large variety of wheel geometries and the further

influence of different milage. Moreover, extended inspection areas up to a full body inspection define many

different defect positions, which are to some part difficult to access. This article describes industrial solutions,

which allow the full-body inspection of train wheels including face, flange, web and tread for volumetric defects

(from 2mm diameter) and surface cracks (from 5 mm length and 1 mm depth). In the latest upgrade, these systems

can be now equipped with matrix probes. At the beginning of the article basic principles and general probe

configurations will be discussed. The main part of this article is then dedicated to highlight the positive impact of

the implementation of matrix probes. Besides a reduction of the form factor due to the decreased number of probes,

matrix probes allow a direct coupling check thus fundamentally amending the existing state-of-the-art. Other

advantages refer to improved settings for a higher reliability of the system. Finally, it is outlined in which way

matrix probes provide additional functionalities to extend the current state-of-the-art towards a smart inspection.
Implementasi Metode Weighted Moving Average (WMA) Pada Prediksi Penjualan Gas Elpiji Berbasis Website
Authors: Rifadli Syahril , Sari Rafika
Published: July 2024

Kekurangan stok gas elpiji di wilayah Villa Mas Garden Kota Bekasi menciptakan sebuah keresahan pada warga setiap pada akhir bulan, hal ini disebabkan pangkalan gas elpiji selalu kehabisan stok jika sudah mendekati akhir bulan. Dikarenakan pangkalan yang menyiapkan stok pada awal bulan tidak dapat memprediksi jumlah pasti barang yang akan terjual dan yang harus disediakan sesuai permintaan pasar. Penelitian ini bertujuan untuk membuat suatu sistem untuk memprediksi hasil penjualan dan stok barang yang harus disediakan agar pengelola pangkalan tidak lagi kesulitan dalam menyediakan jumlah barang sesuai permintaan pasar pada bulan berikutnya. Penulis akan membuat sistem prediksi menggunakan metode Weighted Moving Average (WMA). Weighted Moving Average merupakan metode rata-rata bergerak yang memiliki bobot. Dalam pembangunan sistem ini penulis menggunakan metode pengembangan Rapid Application Development (RAD). Hasil dari penelitian ini yaitu terciptanya sebuat website yang akan membantu pemilik Pangkalan Azzagas untuk memprediksi perkiraan stok bulan Juni mendatang dengan nilai rata-rata hasil error yang didapatkan yaitu nilai MAD sebesar 100, nilai MSE sebesar 11,6 dan nilai MAPE sebesar 8,86%.
Literatur Review: Penerapan Deep Reinforcement Learning Dalam Business Intelligence
Authors: Ridho Muhammat Rasid , Fajrah Nofriani , Fifi Fifi
Published: July 2024

Business Intelligence merupakan kombinasi alat, seperti gudang data, pemrosesan analitis online (OLAP), dan dasbor. Gudang data mengumpulkan data yang akurat, bersih, dan terperinci dari berbagai sumber untuk analisis mendalam, sementara pemrosesan analitis online (OLAP) mendukung analisis multidimensi secara real-time dan memungkinkan pengguna menerapkan operasi seperti agregasi, pemfilteran, pengguliran, dan penelusuran. Peneliti mencoba menerapkan Deep Reinforcement Learning (DRL). DRL merupakan teknik yang menjanjikan untuk memecahkan masalah dunia nyata. Hal ini dapat digunakan untuk mengatasi tantangan yang biasa dihadapi dalam tugas pengambilan keputusan berurutan, seperti ketidakpastian dan dimensi variabel. Metode deep learning yang dapat digunakan untuk Business Intelligence antara lain deep neural network (DNN). Model DNN ini menjanjikan kinerja prediksi yang melampaui model pembelajaran mesin tradisional. Adapun temuannya Double Deep Q Learning dapat digunakan untuk meningkatkan kecerdasan bisnis dengan mengoptimalkan pemanfaatan sumber daya dan mengurangi waktu kalkulasi dalam masalah pengemasan persegi panjang skala besar. Ini juga dapat digunakan untuk pemodelan lawan dalam sistem multi-agen, yang memungkinkan identifikasi berbagai pola strategi lawan.
Penerapan Support Vector Machine Untuk Analisis Sentimen Pada Layanan Ojek Online
Authors: Tukino Tukino , Fifi Fifi
Published: July 2024

Dalam era digital yang semakin maju, layanan ojek online seperti GoJek telah menjadi solusi transportasi yang populer di kota-kota besar termasuk Batam. Memahami sentimen pengguna terhadap layanan ini sangat penting bagi perusahaan untuk meningkatkan kualitas dan kepuasan pelanggan. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap layanan GoJek di Kota Batam menggunakan metode Support Vector Machine (SVM). Data yang digunakan dalam penelitian ini dikumpulkan dari ulasan pengguna di media sosial dan aplikasi GoJek. Proses analisis meliputi pengumpulan data, pra-pemrosesan data, ekstraksi fitur menggunakan TF-IDF, dan klasifikasi sentimen menggunakan SVM. Hasil penelitian menunjukkan bahwa model SVM memiliki kinerja yang kuat dalam mengklasifikasikan sentimen pengguna dengan akurasi rata-rata 88.5%, presisi 88.6%, recall 88.2%, dan F1-Score 88.4%. Meskipun kinerja untuk sentimen positif dan negatif sangat baik, model menunjukkan tantangan dalam mengklasifikasikan ulasan netral. Untuk meningkatkan kinerja, disarankan penerapan teknik data augmentation, tuning hyperparameters, dan eksplorasi metode pembelajaran mesin yang lebih canggih. Penelitian ini memberikan wawasan berharga untuk meningkatkan strategi bisnis dan kualitas layanan GoJek di Kota Batam, serta berkontribusi pada pengembangan analisis sentimen di industri transportasi online.
Analisis Kepuasan Customer pada Sdtechnology Computer dengan Algoritma Decision Tree
Authors: Azwanti Nurul , Putria Narti Eka
Published: July 2024

Kepuasan pelanggan merupakan salah satu indikator penting bagi keberhasilan sebuah perusahaan dalam mempertahankan dan mengembangkan basis pelanggan. Penelitian ini bertujuan untuk menganalisis kepuasan pelanggan pada Sdtechnology Computer dengan menggunakan algoritma Decision Tree. Data yang digunakan dalam penelitian ini diperoleh melalui survei yang disebarkan kepada pelanggan Sdtechnology Computer, yang mencakup berbagai aspek layanan seperti kualitas produk, pelayanan pelanggan, harga, dan pengalaman keseluruhan. Algoritma Decision Tree dipilih karena kemampuannya dalam menangani data kategorikal dan numerik serta interpretasinya yang mudah dipahami. Hasil analisis menunjukkan faktor-faktor utama yang mempengaruhi kepuasan pelanggan dan memberikan wawasan berharga bagi perusahaan dalam meningkatkan layanan mereka. Model Decision Tree yang dibangun mampu mengidentifikasi pola-pola signifikan dari data survei, yang kemudian digunakan untuk memprediksi tingkat kepuasan pelanggan. Temuan penelitian ini mengungkapkan bahwa kualitas produk dan pelayanan pelanggan adalah faktor paling dominan yang mempengaruhi kepuasan pelanggan. Selain itu, penetapan harga yang kompetitif juga berkontribusi signifikan terhadap kepuasan keseluruhan. Dengan memahami faktor-faktor ini, Sdtechnology Computer dapat merancang strategi yang lebih efektif untuk meningkatkan kepuasan dan loyalitas pelanggan. Penelitian ini menyimpulkan bahwa algoritma Decision Tree adalah alat yang efektif dalam analisis kepuasan pelanggan dan dapat digunakan sebagai dasar pengambilan keputusan yang lebih baik untuk meningkatkan kualitas layanan perusahaan.
Metode Agile Scrum Dalam Pengembangan Sistem Pengendali Stok Barang
Authors: Arnomo Sasa Ani , Kurniawan Dwi Ely
Published: July 2024

Pengendali persediaan bertanggung jawab untuk membuat keputusan mengenai kebijakan keluar masuk barang. Produksi dan prosedur harus diperhitungan dengan tepat agar dari semua yang ditangani memperlancar prose produksi. Terkadang terdapat beberapa kekurangan dalam proses pencatatan dan pengolahan persediaan barang pada suatu Perusahaan. Terkait hal itu akan berdampak pada proses produksi dan transaksi penjualan. Perancangan sistem yang diusulkan adalah agile scrum. Scrum merupakan sebuah model yang mengutamakan kecepatan pengembangan yang terdisi dari Product Bcklog, Sprint Planning Meeting, Sprint Backlog, Sprint, Daily Scrum, Sprint Review, Sprint Retrospective, dan Finished Work. Penyusunan daftar prioritas fitur dan kebutuhan sistem dalam bentuk Product Backlog mendukung percepatan pengembangan sistem pengendali stok barang.
Prophet al-Khiḍr: Between the Qur’anic Text and Islamic Contexts
Authors: Muhammad Asad Latif
Published: July 2024

Khiḍr is neither well-known or well-theorized, despite the fact that he frequently appears in Muslim literature and that several Muslim civilizations have adopted his tale as their own. Building upon the extensive research and comprehensive analysis of the mysterious prophet Khiḍr by Patrick Franke and Talat Halman, Prophet al-Khiḍr: Between the Qur’anic Text and Islamic Contexts by Irfan A. Omar adds to a growing correction to this. By examining Khiḍr through a “wider frame of understanding” in Prophet al-Khiḍr, Omar hopes to demonstrate the important intersectional connections between the Khiḍr narrative and other savior-sage type stories. This covers both symbolic and legendary viewpoints in addition to textual and literary representations (22) and to ‘’examine Khiḍr’s diverse attributes as a celestial messenger entrusted with aiding the pious and truth-seekers, irrespective of time or location, status, or faith’’ (27).  Omar's efforts have given us a rich, widely portrayed, painstakingly detailed, composite, and colorful picture of the Khiḍr tale throughout Islamic history and genres.
Analysis of Empowerment Efforts and Implementation of Funeral Corpses in Indonesia
Authors: Azkarrula Youla Afifah , Abshor Muhammad Ulil , Adela Fina Marliana , Maghfiroh Afif , Amalia Indah Sholikhatul
Published: July 2024

In Indonesian society, it is customary for Modin to handle the deceased remains of locals. However, this poses several issues in Indonesian society, particularly in densely populated cities. This study examines attempts to empower and implement funeral corpses in Indonesia. This study is the outcome of practical research by UIN Walisongo Semarang students on funeral bodies in society. This is a field research report based on qualitative data gathered through interviews, observations, and documentation. The study's sample locations were Tabanan City in Bali, Surabaya City in East Java, Semarang City in Central Java, and Jakarta City. The resulting community empowerment initiative involves organizing mentoring events and training on funeral bodies for long-term benefits.
Literature Review on Effective Use of Modern Modalities in Management of Intra-Axial Brain Lesions
Authors: Uzoma Okoro Emmanuel ,   Department of Neurosurgery, Neurology and Psychiatry, Uzhhorod National University, Ukraine., Taras Havryliv , Julia Aigbogun , Andriy Smolanka
Published: July 2024

The significant health burden caused by intra-axial brain lesions and the difficulties associated with their diagnosis and treatment have prompted a large number of researchers and practitioners to investigate various diagnostic and treatment modalities for their effectiveness and safety. This study focuses on evaluating different pre-, intra- and postoperative techniques and analyzes their advantages and limitations to ultimately improve the management of this type of brain lesion. Through a critical analysis of various scientific sources, this research aimed to synthesize existing knowledge on the topic. Magnetic resonance imaging plays a crucial role in diagnosing and managing brain tumors. Functional MRI identifies functional brain areas, but tumor-induced blood flow changes can affect its reliability. Connectome analysis provides information on functional localization and brain networks, which became possible using diffusion tensor imaging, that visualizes white matter pathways, aiding in tumor boundary delineation and surgical planning. Studies suggest this method can predict tumor histology and prognosis. Intraoperative MRI improves the extent of tumor resection and potentially patient survival. But due to its limitations it has alternative intraoperative techniques, like intraoperative ultrasound, fluorescence-guided surgery, direct electrical stimulation, deep brain stimulation, but evidence for most of these methods is limited for most brain tumors. Only ultrasound showed real-time tumor visualization and residual disease analysis offering high accuracy and is relatively inexpensive compared to ioMRI. This study can be useful to neurosurgeons, neuro-oncologists, neurologists, neuro-radiologists, and will demonstrate prospects for further research.
Early Childhood Onset Vanishing White Matter Disease with Multiple Cranial Nerve Enhancement: A New Consensus Criteria?
Authors: Albassam Fahad , Almutairi Muneer , Ahmed Alzaid Saleh
Published: July 2024

Vanishing White Matter Disease (VWM), also known as Childhood Ataxia with Central Nervous System Hypomyelination (CACH), although a rare neurological condition, is a prevalent hereditary leukoencephalopathy with a characteristic phenotype of gradual neurologic deterioration with ataxia being a prominent feature. It is characterized by a wide range of onset, from antenatal and infantile periods to early childhood and later adulthood periods. The early childhood form is considered the prevailing form, characterized by a preceding phase of normal development until the second or 3rd year of life, followed by progressive neurologic deterioration, accentuated by certain stressors, such as infections or minor trauma. Diagnosis is achieved based on the clinical pretext combined with distinctive MRI brain features, confirmed by DNA analysis detection of elf2B mutation. Our case is a healthy 18-month-old male who after a preceding upper respiratory tract infection, developed an ataxic gait, encephalopathy, and recurrent generalized seizures. Physical assessment revealed signs of generalized spasticity and hyperreflexia. Neuroimaging revealed diffuse symmetric supratentorial and infratentorial diffuse white matter hypomyelination. Interestingly, there was notable enhancement of the 3rd and 5th cranial nerves. Differential diagnosis included acute demyelinating leukoencephalopathies; and neuromatobolic disorders with acute presentations (including leukodystrophies, hypomyelinating disorders, and mitochondrial encephalopathies). In the early course of his management, he received immunomodulatory therapy in the form of pulse steroids, intravenous immunoglobulins, and oral tapering course of steroids. He had limited response to these interventions. Whole exome sequencing yielded a homozygous mutation in EIF2B3, confirming the diagnosis of VWMD/CACH. The presence of enhancing cranial neuropathies represent an atypical phenotype reported in other case reports and should alert the physician to avoid unnecessary intervention with immunosuppressive therapies.
Impact of the Stroke Law in Neuquén. First Experience in Argentina
Authors: Miriam Vicente , Gabriela Parada , Santiago Hasdeu , César Castro , Lisandro Orbea , Florencia Albornoz
Published: July 2024

This study examines the impact of Neuque n's pioneering Stroke Law in Argentina, focusing on its enactment and implementation. Neuque n, facing a high stroke incidence, established the first Argentinean legislation for stroke management, including prevention, acute treatment, and rehabilitation. The law led to the creation of the Provincial Stroke Network and inclusion of alteplase in the Neuque n Therapeutic Formulary. Results demonstrate advancements in healthcare delivery, with significant implications for public health policy and stroke management in Argentina. The study highlights challenges, particularly during the COVID-19 pandemic, and suggests future directions for comprehensive stroke care.
Unveiling women leadership dynamics in public relations: Insights and influential factors
Authors: Yueqin Yang ,   Taylor's University, Malaysia, Ai Ling Ong ,   Taylor's University, Malaysia
Published: July 2024

The rapid evolution of information technology and the globalisation of markets underscore the paramount importance of competition for highly skilled professionals in the corporate landscape. Within this context, women leaders play a pivotal role in the development of public relations (PR) by virtue of their distinctive leadership styles and artistic approaches This research paper aims to investigate the various elements as well as factors that contribute to the phenomenon of women leadership. Employing a dual methodology of theoretical exploration and quantitative analysis, the paper attempts to establish a nuanced understanding of the correlation between women leadership and its substantial influencing factors. Drawing from the amalgamation of findings from a comprehensive questionnaire survey and prior research content, the paper categorises these factors into three overarching aspects, namely individual factors, organisational factors, and societal factors. The research’s conclusions offer valuable insights into the intricated relationship among these complex interconnected factors. Among the salient conclusions drawn from the study, cognitive integration, influence and inspire, innovation, resilience, and emotional control emerge as crucial components of women leadership. The research underscores the significant influence of personal, organisational, and societal factors on women leadership, with moral quality standing out as a particularly impactful personal factor.
Galactagogos: Principais fitoterápicos e evidências disponíveis
Authors: Schaidhauer Flavia Gheller
Published: July 2024

Este eBook aborda a importância do conhecimento sobre fitoterápicos galactagogos no contexto da amamentação, enfatizando que o manejo clínico deve ser sempre priorizado. A utilização de galactagogos não deve ser uma prática de rotina, mas sim orientada pelas necessidades específicas de cada mãe e bebê. O texto ressalta a relevância de estar informado sobre as evidências disponíveis, mesmo quando a qualidade das referências não é ideal. Isso se deve ao fato de que o conhecimento das possíveis opções pode auxiliar profissionais de saúde e mães a tomarem decisões mais informadas sobre a lactação. Uma seção do eBook apresenta uma tabela com dosagens recomendadas dos principais fitoterápicos galactagogos, acompanhada de uma descrição de seus efeitos colaterais e interações possíveis. Isso fornece um recurso útil para a prática clínica, permitindo que profissionais considerem tanto os benefícios quanto os riscos associados ao uso desses compostos. Em suma, o eBook defende a necessidade de um manejo cuidadoso e baseado em evidências quando se considera o uso de galactagogos, promovendo uma abordagem personalizada e segura para a amamentação.
Peran Guru PAI dalam Membentuk Karakter Kedisiplinan Siswa Melalui Kegiatan Keagamaan (Jamaah Sholat Dhuha) di SMA Ma’arif Pandaan
Authors: Wahid Ahmad Fiqih Mahfudhi
Published: July 2024

Peran guru pendidikan agama Islam adalah usaha secara sadar untuk mempersiapkan peserta didik memahami (mengetahui), terampil dalam melaksanakan (melakukan) dan mengamalkan (menjadi) agama Islam melalui kegiatan pendidikan. Dari ketiga aspek tersebut, "being aspect" (agama atau menjalani kehidupan berdasarkan ajaran dan nilai-nilai Islam) menjadi tujuan utama pendidikan agama Islam di sekolah. Disiplin adalah ketaatan pada aturan dan norma kehidupan berbangsa dan bernegara yang berlaku dan dilaksanakan secara sadar, ikhlas dan fisik. Sehingga timbul rasa malu ketika melanggar disiplin dan bertakwa kepada Tuhan Yang Maha Esa. Hasil penelitian menunjukkan bahwa peran guru PAI dalam meningkatkan kedisiplinan dalam kegiatan keagamaan adalah dengan 1) memberikan teladan dan teladan, 2) memberikan nasehat, 3) menegakkan disiplin, 4) membiasakan diri, 5) sebagai penyelenggara 6) sebagai motivator. Saran peneliti adalah berkolaborasi antara sekolah, siswa dan orang tua atau wali murid dalam meningkatkan kedisiplinan dalam kegiatan keagamaan di sekolah, orang tua dan guru memberikan dukungan dan motivasi agar tujuan dapat tercapai dengan baik. Siswa diharapkan dapat mengikuti kegiatan keagamaan, patuh dan taat pada peraturan sekolah dan guru sehingga pelaksanaan kegiatan keagamaan berjalan dengan tertib dan khusyuk.
Análisis de la pertinencia de los organismos de gestión de recursos hídricos en el desarrollo de la provincia de Manabí
Authors: Cevallos Cevallos Viviana Rocío , Valencia Zambrano Xavier Horacio
Published: July 2024

La gestión efectiva de los recursos hídricos es crucial para el desarrollo sostenible de la provincia de Manabí. Se destaca la importancia de evaluar los modelos existentes y los cambios institucionales en la búsqueda de una gestión eficiente del recurso hídrico. El objetivo de esta investigación es analizar la pertinencia de los organismos de gestión de recursos hídricos en el desarrollo de la Provincia de Manabí, considerando modelos previos y cambios institucionales. Se realizó un estudio cualitativo utilizó métodos documentales y bibliográficos, aplicando el enfoque analítico-sintético, involucró la revisión de documentos gubernamentales, informes técnicos y datos sobre gestión hídrica. Se implementó una búsqueda exhaustiva en fuentes académicas y entrevistas a expertos y miembros de comunidades locales. El análisis se basó en 25 documentos seleccionados con criterios específicos, apoyado por una matriz de análisis documental y un cuestionario de entrevista. Los resultados se basan en la continuidad en los modelos de gestión hídrica en Manabí, con cambios institucionales de la Secretaría Nacional del Agua (SENAGUA) y fusión con el Ministerio del Ambiente. Se identifican logros y desafíos, destacando la importancia de la participación comunitaria y la necesidad de evaluar el impacto institucional de estas transformaciones. La fusión SENAGUA-Ministerio del Ambiente ha generado tanto aspectos positivos como desafíos en la gestión hídrica. Se destaca la importancia de cumplir con las competencias institucionales establecidas en las leyes y regulaciones. La relevancia de la Constitución Política del Estado en la gestión del agua en Manabí se subraya como un factor clave.
Impact of public investment on economic growth of Phu Yen province
Authors: Trần Văn Trí ,   State Bank of Vietnam, Phu Yen branch, Lê Công Hướng ,   Department of Planning and Investment of Phu Yen Province, Viet Nam
Published: July 2024

The purpose of this study is to determine the impact of public investment on the economic growth of Phu Yen province and on that basis, the author recommended some solutions to use this investment more effectively. The study uses the vector error correction model (VECM - Vector Error Correction Model) with data collected from Phu Yen Provincial Statistical Yearbook and related agencies in 27 years, from 1996 to 2022. The research results show that public investment has a positive impact on the economic growth of Phu Yen province in both the short and long term, in which the level of impact in the long term is higher than in the short term. In addition, the research results also show that labor working in the economy also positively impacts long-term and short-term economic growth. For private investment, it has a negative impact on GRDP growth in the short term and a positive impact in the long term. These findings have important implications for public investment management activities in Phu Yen province.
The Effect of Red Spinach Juice on Hemoglobin Levels in Pregnant Women: A Randomized Controlled Trial
Authors: Sari Endang , Mekar Zenni Radhia  , Hanifa Zaini S
Published: July 2024

Introduction: Iron deficiency anemia is a prevalent health concern among pregnant women globally, including Indonesia. Red spinach (Amaranthus tricolor), rich in iron and other nutrients, holds promise as a natural intervention. This randomized controlled trial aimed to investigate the efficacy of red spinach juice in improving hemoglobin levels in pregnant women in West Sumatra.
Methods: This study enrolled 180 pregnant women (18-35 years) with mild anemia (hemoglobin 10.0-10.9 g/dL) in their second trimester. Participants were randomly assigned to either the intervention group (daily red spinach juice, 200 mL) or the control group (standard iron supplementation) for eight weeks. Hemoglobin levels were measured at baseline, week four, and week eight.
Results: A significant increase in hemoglobin levels was observed in both groups (p < 0.001). However, the intervention group exhibited a greater mean increase in hemoglobin (1.8 g/dL) compared to the control group (1.2 g/dL) at week eight. There were no significant differences in adverse events between the groups.
Conclusion: Red spinach juice demonstrates potential as an effective adjunct or alternative to standard iron supplementation in improving hemoglobin levels in pregnant women with mild anemia. Further research is warranted to confirm these findings and investigate long-term effects.
Research on the cooling garment based on acupoints cold stimulation under a high-temperature environment
Authors: Zhang Yingshuai , Yang Yiyong , Cheng Jia , Ji Linhong
Published: July 2024

When the human body experiences heat stress beyond the normal range, it may affect health and work efficiency to a certain extent. This study aimed to investigate the effectiveness of cold stimulation on Dazhui point (GV14), bilateral Xinshu points (B15), bilateral Danshu points (B19), and bilateral Quchi points (LI11) in the body to relieve heat strain in a high-temperature environment. The experiment results showed that the skin temperature (Tskin), tympanic temperature (Tty), heart rate (HR), the physiological strain index based on heart rate (PSIHR), thermal sensation (TS), and thermal comfort (TC) of the participants with acupoints cold stimulation were better than those without acupoints cold stimulation (p < 0.05). Tskin decreased by an average of 0.04 ± 0.46Ԩ. Tty decreased by an average of 0.08 ± 0.21Ԩ. The study concluded that cold stimulation at acupoints could reduce the heat strain and improve the thermal comfort of the human body.
Effect of size and location of an intermediate aerodisk mounted sharp tip spike on the drag reduction over a hemispherical body at mach 2.0
Authors: Jadhav Akash , Tembhurnikar Payal , Bhosale Mrunal , Nandy Jhumki , Sarwar Gulam , Sahoo Devabrata
Published: July 2024

To minimize forebody drag in high-speed flying vehicles such as missiles and rockets, contemporary research has focused on computational methods to analyze drag reduction strategies. This study investigates the efficacy of an intermediate aerodisk mounted on a sharp-tip spike at a Mach number of 2.0. Through a parametric analysis, variations in aerodisk size and location on the spike stem are explored. Results indicate that reducing the size of the intermediate aerodisk to 3 mm maintains identical reattachment shock strength but leads to higher pressure values at the transition from separation shock to reattachment shock. The model with an expanded 5 mm aerodisk size exhibits the second-lowest peak pressure coefficient for reattachment shock, suggesting improved flow recirculation and lower heating levels. Conversely, a 6 mm aerodisk size increases reattachment shock pressure but enhances flow recirculation, impacting total drag. Overall, the study concludes that an intermediate aerodisk, particularly with a 5 mm diameter, provides an optimal configuration for drag reduction before flow separation.
Predicting Automotive Air Conditioning System performance through Deep learning
Authors: Gavali Pradipkumar , Yadav S.D.
Published: July 2024

Automotive Air Conditioning System (AACS) involves phase change of the refrigerant, to provide a comfortable environment in the vehicle cabin. The phase change is governed by many complex equations. Therefore, a technique that can validate the results and predict the system performance is required to avoid tedious calculations. Deep Neural Networks (DNN) are better at learning complex non-linear relationships between performance metrics. Experimental data is used to train the specified DNN model. Compressor speed, air temperature at the inlet of the evaporator, and refrigerant flow rate are used as input, while coefficient of performance, compressor work, and heat loss have been used as output parameters to train the model. Predicted results are compared by using statistical measures such as Root Mean Square Error, Mean Square Error as well as Correlation Coefficient. Based on the results obtained, the specified DNN model can be effectively used in predicting and validating the performance of the AACS.
Effects of nanofillers on the wear and frictional properties of cellulosic fibre-reinforced composites under varying applied loads
Authors: Hussain H.S. , Ridzuan M.J.M. , Abdul Majid , Rahman M.T.A. , Ismail Mohd , Khasri Azduwin , Yudhanto Ferriawan
Published: July 2024

This study explores the impact of nanofillers on the wear and frictional characteristics of Cellulosic fibre-reinforced composites. With increasing demand for lightweight and durable materials in various industries, understanding the effects of nanofillers on composite performance is crucial. In this research, pin-on-disc trials were conducted under applied loads ranging from 80 N to 140 N, maintaining a constant 50% fibre volume fraction, a sliding distance of 3000 m, and a velocity of 1 m/s. The incorporation of 5 phr graphite powder was systematically investigated, compared to a graphite-absent control group, to elucidate the nanofiller's influence. Experimental results revealed a notable decrease in the Coefficient of Friction (COF) by 2.63 % to 9.09 % across different applied loads. Moreover, the Specific Wear Rate (SWR) exhibited a significant reduction at all loads, with the most substantial decrease of 61.45 % observed at 80 N. SEM analysis provided further insights, indicating a shift in wear mechanisms towards less damaging interactions. These findings highlight the potential of these composites for high-stress tribological applications in industries.
Connectedness in graded ditopological texture spaces
Authors: Ekmekçı Ramazan
Published: July 2024

The aim of this paper is to introduce two different types of connectedness notions for graded ditopological texture spaces: the connectedness function which gives the grade of connectedness of a set and the connectedness spectrum by means of spectrum idea. Also, the properties of these connectedness notions and their relationships with the connectedness notion in ditopological case are investigated. Further, the relation between these two different types of connectedness notions is studied.
Thực hiện tốt chính sách ưu đãi người có công với cách mạng góp phần ổn định chính trị - xã hội, phát triển đất nước
Authors: Lê Huy Vịnh
Published: July 2024

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Tư tưởng Hồ Chí Minh về quyền con người và điều kiện bảo đảm thực hiện quyền con người
Authors: Nguyễn Phương Uyên
Published: July 2024

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Những trở ngại cần tháo gỡ cho hoàn thiện khung pháp lý về phân quyền, phân cấp quản lý nhà nước
Authors: Huỳnh Văn Thới
Published: July 2024

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Phát huy quyền làm chủ của Nhân dân trong phản biện chính sách
Authors: Bùi Thị Ngọc Mai
Published: July 2024

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Vai trò của mạng xã hội trong hoạt động của các cơ quan quản lý nhà nước ở Việt Nam
Authors: Vũ Thị Hương Thảo
Published: July 2024

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Các biện pháp hạn chế quyền của nhà đầu tư nước ngoài - Vấn đề pháp lý đặt ra cho Việt Nam
Authors: Nguyễn Thu Hương
Published: July 2024

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Hoạt động từ thiện nhân đạo, trợ giúp của Phật giáo Việt Nam góp phần bảo đảm an sinh xã hội
Authors: Phạm Thị Thùy
Published: July 2024

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Pháp luật về hoạt động bảo mật thông tin khách hàng trong các dịch vụ ngân hàng số
Authors: Phan Lê Ngọc Châu
Published: July 2024

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Đổi mới và nâng cao chất lượng đánh giá cán bộ, công chức tại tỉnh Quảng Ninh
Authors: Nguyễn Minh Hải
Published: July 2024

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Quảng Nam thúc đẩy phong trào phụ nữ khởi nghiệp
Authors: Ngô Tuấn Vinh
Published: July 2024

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Nghiên cứu mô hình quản lý nhà nước đối với trường đại học tư thục ở một số nước trên thế giới - Giá trị tham khảo cho Việt Nam
Authors: Phùng Kim Anh
Published: July 2024

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Hoàn thiện pháp luật về kiểm soát quyền lực của một số quốc gia - Ý nghĩa đối với chính quyền địa phương cấp tỉnh ở Việt Nam hiện nay
Authors: Cao Thị Hà
Published: July 2024

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E-FireGuard: Empowering firefighters through innovative E-commerce solutions
Authors: Kale Sankalp , Malvi Nikhil , Omble Saurav , Jagtap Yash , Narawade Athrava , Fattepurkar Gopika
Published: July 2024

For firefighters to remain safe and successful in ever-more-complex and tough firefighting situations, they must have access to state-of-the-art equipment. Nevertheless, obtaining the newest firefighting technology is frequently hampered by conventional procurement techniques. This article introduces “E-FireGuard,” a cutting edge E-commerce platform created to solve these issues and provide firemen with simple access to top- notch gear. Firefighters may easily browse, buy, and evaluate a variety of firefighting goods online with E-FireGuard. Procurement procedures may be expedited because to the platform's user-friendly design, extensive product selection, and safe payment alternatives. Moreover, E-FireGuard facilitates the adoption of cutting-edge technology and best practices by acting as a center for cooperation, information exchange, and innovation among firefighters.
Effect of Ti3C2-MXene size on cell viability of human carcinoma cells
Authors: Dong Tianyi , Qi Ming , Ji Shuxia , Liu Kailin , Shi Peng , Geng Chong
Published: July 2024

MXene nanoflakes, a new type of transition metal carbides, nitrides, and carbonitrides (named as MXene) have emerged as biocompatible transition metal structures, which illustrate desirable performance for various applications due to their unique physicochemical, and compositional virtues. MXenes are currently expanding their application from optical, chemical, electronic, and mechanical fields towards biomedical areas. In terms of biomedical applications, the biological toxicity of MXenes materials in different forms must be considered inevitably. In this paper, Ti3C2-MXene nanoflakes with different sizes have been prepared by means of wet etching method combined with powerful ultrasonication for exploring the effect in human breast carcinoma cells (MDA-MB-231 Cells) and human thyroid carcinoma cells (GLAG-66 Cells). Clinically representative MDA-MB-231 Cells and GLAG-66 Cells are selected as experimental subjects and their biotoxicities are characterized when exposed to Ti3C2-MXene nanoflakes with different sizes and concentrations. The results show that Ti3C2-MXene nanoflakes with sizes below 200 nm is almost non-toxic to MDA-MB-231 Cells and GLAG-66 Cells at low concentrations, and enhance their bioactivity and proliferation. When the nanoflake size is above 200 nm, Ti3C2-MXene has a significant inhibitory effect on the proliferation of the cells. This phenomenon may be due to the different roles of Ti3C2-MXene materials at different scales in cell proliferation as well as in complex physiological processes. This result is of great significance for material screening and design before biological experiments using Ti3C2-MXene.
Socio-economic Factors Associated with Desired Number of Antenatal Care Visits in Tanzania
Authors: Mwalupani Nsajigwa , Macha Laura , Zakayo Edmund
Published: July 2024

This study analyses socioeconomic factors associated with the desired number of Antenatal Care (ANC) visits in Tanzania. The data are extracted from the Tanzania Demographic Health Survey and Malaria Indicator. The study employed Multilevel Logistic Regression analysis using TDHS-MIS 2022. The findings show that more than two-thirds of women attended at least 4 visits (desirable), while one-third of women attended less than 4 visits (undesirable). Over half of women attained primary education, while the majority had health insurance. About half of women were aged between 25 and 34 years, and 41.2% were economically classified as poor. Furthermore, the study revealed that the place of residence, educational level, distance to the health facility, access to health insurance, marital status, husband/partner's education level, birth order, women’s age, wealth index, work status, and family size indicated associations with the number of ANC visits. The study findings recommend that policymaking should focus on formulating policies and programmes that address factors reducing maternal and infant morbidity and mortality during pregnancy and birth. There is a need to carry out a qualitative survey to assess how and why social, cultural, and community factors influence desired number of ANC visits among women.
Drivers of Small-Scale Farmers' Adoption of Mobile Phone Technology for Rice Production and Marketing in Dodoma Region
Authors: Mwaseba Steven , Dimoso Provident , Timothy Shauri
Published: July 2024

Despite the benefits of Mobile Phone Technology (MPT) in enhancing agricultural communication in Tanzania, a significant gap exists between the rise in mobile phone subscriptions and the actual adoption of MPT by farmers for agricultural production and marketing. This study utilised multinomial logistic regression to analyse factors influencing MPT adoption among 454 small-scale farmers in Bahi District, Dodoma Region. The findings indicated that 62 percent of the farmers adopted MPT, while 38 percent did not. Key factors influencing MPT adoption for rice production communication only included; having household members under 15 years, mobile phone ownership, time spent on using mobile phones, land size, use of hired labour, market distance and distance to all-weather roads. This study revealed that significant determinants for the adoption for rice marketing communication only were farmer’s sex, time spent on mobile phones and market distance. Further, the study showed that significant factors for the adoption for combined rice production and marketing communication were the farmer’s education level, mobile phone ownership, land size, use of family and hired labour, and market distance. Understanding these factors provides a foundation for developing interventions to increase MPT adoption among key stakeholders. Increased adoption of MPT will improve access to market information and agricultural practices in rural areas, thereby enhancing rice production and marketing and improving farmers’ livelihoods.