bluuebunny/crossref_metadata_2025 huggingface dataset:
Computational Analysis of Tsunami Wave Behaviour for Three Historical Tsunami Events using T-Impulse Model
Authors: Mohamed E., Syed , Selvan C. M. Pon
Published: February 2024

Natural catastrophes pose a serious threat to both human life and the environment because they are unpredictable. One of the most devastating natural disasters is a tsunami, and forecasting models are essential to preventing catastrophic damage to the environment and people along the coast. In the Impulse model, the generation of a tsunami depends on the impulse force generated during the event. Understanding tsunamis begins with simulating the tsunami generation process. This process involves simulating both the motion of the seafloor and the subsequent motion of the water above for tsunamis caused by underwater earthquakes. This modeling strategy can mimic all three stages of a tsunami: generation, propagation, and run-up. Three separate earthquake tsunami events—the 1755 Lisbon earthquake, the 1964 Alaska earthquake, the 2004 Sumatra earthquake are each investigated in this research. To demonstrate its relevance to current events and various ocean locations, the results of these events are compared and confirmed with the observed data. Analyzing the parameters used in this modeling study and identifying the parameter that has the most influence will demonstrate their significance in tsunami generation. The seabed displacement profile, seawater deformation, changes in tsunami characteristics during propagation, the tsunami’s travel time, earliest arrival time, the tsunami wave height at the coast, and inundation distance are the anticipated findings from this study. The major objective of this study is to obtain the maximum and most accurate result possible using the fewest parameters possible.
Prototipo para la detección y clasificación de productos alimenticios mediante visión artificial en base al color
Authors:   Instituto Superior Tecnológico Vicente Fierro, Villarreal Ger Lucio Orlando
Published: February 2024

El presente trabajo muestra un prototipo que aplica la visión artificial como una herramienta útil en los procesos de manufactura que requieren clasificar sus productos, ya sea por defectos, cumplimiento de normas, por característica como peso, contorno, color, en general para el control de la calidad de los productos. El proyecto tiene como objetivo desarrollar un prototipo para la detección y clasificación de productos alimenticios mediante visión artificial tomando como referencia el color. Para el desarrollo del proyecto, al ser de tipo experimental, se procede a escoger los componentes para el diseño del prototipo, así como la característica del objeto que se requiere controlar, en este caso, el color; la siguiente etapa es configurar un algoritmo que permita que el prototipo detecte la característica elegida del objeto; para este propósito, el lenguaje de programación utilizado es Python, que se rige bajo licencia de software libre y cuenta entre otras con la librería, OpenCV, una biblioteca de visión por computador de código abierto que tiene 500 funciones y alrededor de 2500 algoritmos; en la siguiente fase se integran los componentes del prototipo: cámara web, fuente de iluminación, computador o mini controlador, software de procesamiento de imágenes, pantalla de visualización. Se realiza pruebas en tiempo real para validar el prototipo, resultando en un prototipo funcional de acuerdo al objetivo planteado. Esto permite concluir que los sistemas de detección de defectos o de control de calidad basados en visión artificial pueden adaptarse a los procesos de manufactura, mejorando su productividad y competitividad.
Diagnostic and therapeutic role of endoscopic ultrasound in liver diseases: A systematic review and meta-analysis
Authors: Gadour Eyad , Awad Abeer , Hassan Zeinab , Shrwani Khalid Jebril , Miutescu Bogdan , Okasha Hussein Hassan
Published: February 2024

BACKGROUND

In hepatology, the clinical use of endoscopic ultrasound (EUS) has experienced a notable increase in recent times. These applications range from the diagnosis to the treatment of various liver diseases. Therefore, this systematic review summarizes the evidence for the diagnostic and therapeutic roles of EUS in liver diseases.

AIM

To examine and summarize the current available evidence of the possible roles of the EUS in making a suitable diagnosis in liver diseases as well as the therapeutic accuracy and efficacy.

METHODS

PubMed, Medline, Cochrane Library, Web of Science, and Google Scholar databases were extensively searched until October 2023. The methodological quality of the eligible articles was assessed using the Newcastle-Ottawa scale or Cochrane Risk of Bias tool. In addition, statistical analyses were performed using the Comprehensive Meta-Analysis software.

RESULTS

Overall, 45 articles on EUS were included (28 on diagnostic role and 17 on therapeutic role). Pooled analysis demonstrated that EUS diagnostic tests had an accuracy of 92.4% for focal liver lesions (FLL) and 96.6% for parenchymal liver diseases. EUS-guided liver biopsies with either fine needle aspiration or fine needle biopsy had low complication rates when sampling FLL and parenchymal liver diseases (3.1% and 8.7%, respectively). Analysis of data from four studies showed that EUS-guided liver abscess had high clinical (90.7%) and technical success (90.7%) without significant complications. Similarly, EUS-guided interventions for the treatment of gastric varices (GV) have high technical success (98%) and GV obliteration rate (84%) with few complications (15%) and rebleeding events (17%).

CONCLUSION

EUS in liver diseases is a promising technique with the potential to be considered a first-line therapeutic and diagnostic option in selected cases.
Intention offloading: Domain-general versus task-specific confidence signals
Authors: Sachdeva Chhavi , Gilbert Sam J.
Published: February 2024

Intention offloading refers to the use of external reminders to help remember delayed intentions (e.g., setting an alert to help you remember when you need to take your medication). Research has found that metacognitive processes influence offloading such that individual differences in confidence predict individual differences in offloading regardless of objective cognitive ability. The current study investigated the cross-domain organization of this relationship. Participants performed two perceptual discrimination tasks where objective accuracy was equalized using a staircase procedure. In a memory task, two measures of intention offloading were collected, (1) the overall likelihood of setting reminders, and (2) the bias in reminder-setting compared to the optimal strategy. It was found that perceptual confidence was associated with the first measure but not the second. It is shown that this is because individual differences in perceptual confidence capture meaningful differences in objective ability despite the staircase procedure. These findings indicate that intention offloading is influenced by both domain-general and task-specific metacognitive signals. They also show that even when task performance is equalized via staircasing, individual differences in confidence cannot be considered a pure measure of metacognitive bias.
The role of word form in gender processing during lexical access: A theoretical review and novel proposal in language comprehension
Authors: Sá-Leite A. R. , Lago S.
Published: February 2024

In contrast to language production, there are few comprehension models of the representation and use of grammatical gender in long-term memory. To bridge this gap, we conducted a systematic review of empirical studies on the role of gender-form regularities in the recognition of nouns in isolation and within sentences. The results of a final sample of 40 studies suggest that there are two routes for the retrieval of gender during real-time comprehension: a form-based route and a lexical-based route. Our review indicates that the use of these routes depends on the degree of gender transparency of the language and the degree of overtness of the experimental paradigm. To accommodate these findings, we incorporate a dual-route mechanism within a general model of lexical access in comprehension, the AUSTRAL (Activation Using Structurally Tiered Representations and Lemmas) model, and identify directions for future research.
Temel İbadetler Konusunda Hanefîler ve Şâfiîler Arasındaki Farklılıklar
Authors: Ünverdi Muhammed
Published: February 2024

İslam, insanları düşünmeye sevk eden, onları dogmatik fikirlerden ve donmuş düşüncelerden arındıran bir dindir. Bu nedenle akıl, ilahi hitabın anlaşılmasında en önemli etkenlerden biri olarak göze çarpmaktadır. İyiyi kötüden ayıracak, iyi olanı, güzel ve faydalı olanı bulacak olan şüphesiz akıldır. Müctehidler de İslam teşriînin anlaşılması hususunda, iyiyi ve doğruyu bulmak için çalışmış ve zekâlarını olanca güçleriyle zorlayarak kendi görüşlerini ortaya koymuşlardır. Bu bağlamda müctehidlerin birbirlerinden farklı hükümlere ulaşmaları ve bunun sonucunda da bazı meselelerde ihtilâfın vuku bulması olağandır. Bu ihtilâflar, nasları anlayış yolunun farklılığı (hafî, müşkil, mücmel, sarih, kinaye, mecaz, hakikat, hâs, amm, mutlak, mukayyed); nasların delaletinin, müctehidin bu manalara vukufundan kaynaklanan farklı sonuçlarının olması; hadisleri delil alırken, hadislerin farklı kategorize edilmesi ve farklı yorumlanmaları (mütevatir, meşhur, haber-i vahid, mürsel, muttasıl, munkatı, merfu) gibi etkenlere bağlıdır.
Kılavuzlar ve Olgular Işığında Kardiyolojik Vakalara Güncel Yaklaşımlar
Authors: Ceylan Büşra , Saygı Mehmet , Küçükler Nagehan , Güz Göksel , Demirkıran Aykut , Ebren Cansu , Altunova Mehmet , Koca Çiğdem , Bulu Aykut , Duman Hatice , Ceren İmran , Doğan Ömer , Turan Şerifler Nazlı , Aydın Gökhan , Çağlar Sayın , Aytekin Deniz , Kadife İskender , Avcı Rauf , Kalaycı Süleyman , Görgülü Gülçin Halise , Seyman Çetinkaya Gülbin , Yılmaz Samet , Karaca Özlem , İyigün Ufuk
Published: February 2024

Daha Önce Major Gastrointestinal Kanaması Olan ve İskemik Risk Skoru Yüksek Atrial Fibrilasyon Hastasına Yaklaşım
Büşra CEYLAN
Akut Koroner Sendrom Geçiren ve Af Nedeniyle Yoak Kullanan Hastada Antikoagülan/Antiplatelet Yönetimi
Mehmet SAYGI
Paroksismal Atriyal Fibrilasyonu Olan Hastada Ritm Kontrolü
Nagehan KÜÇÜKLER
Atrioventriküler Tam Blok Hastasında Tedavi Yaklaşımı
Göksel GÜZ
Vasovagal Senkobu Olan Hastada Tedavi Yaklaşımı
Aykut DEMİRKIRAN
Sekonder Mitral Yetersizliğinde Tanı ve Tedavi Seçenekleri
Cansu EBREN
İleri Aort Darlığında Traskateter Aortik Valve Replasmanı (Tavı) Tedavisi
Mehmet ALTUNOVA
Sol Taraf Kalp Hastalığına Eşlik Eden Triküspid Yetersizliğinin Tedavisi
Çiğdem KOCA
Diyabetes Mellitus Hastalarında Kardiyovasküler Risk Tahmini ve Risk Faktörlerinin Uygun Tedavisi
Aykut BULUT
Kronik Böbrek Hastalarında Kardiyovasküler Risk Yönetimi
Hatice DUMAN
Kanser Hastalarında Kardiyotoksisiteden Korunma ve Kardiyovasküler Risk
İmran CEREN
Atrial Septal Defekt
Ömer DOĞAN
Opere Fallot Tetralojisi Hastalarının Takibi ve Takip Sürecinde Sık Karşılaşılan Sorunların Tedavisi
Nazlı TURAN ŞERİFLER
Aort Koarktasyonu Tanısı ve Tedavisi
Gökhan AYDIN
Koroner Arter Anomalisi Olan Hastalarda Tanı ve Uygun Tedavi Seçenekleri
Sayın ÇAĞLAR
Spor Müsabakalarına Katılacak Sporcularda Kardiyolojik Değerlendirme
Deniz AYTEKİN
Düşük Ejeksiyon Fraksiyonlu Kalp Yetersizliği Hastalarının Yapabileceği Sporlar
İskender KADİFE
Antiplatelet ve Antiagregan Kullanımı İle İlgili Öneriler
Rauf AVCI
Tam Revaskülarizasyon ve Aşamalı Revaskülarizasyon Önerileri
Süleyman KALAYCI
Diyabetik Nstemı Hastalarına Yaklaşım
Gülçin Halise GÖRGÜLÜ
Akut Kalp Yetersizliği Hastasına Yaklaşım
Gülbin SEYMAN ÇETİNKAYA
İleri Evre Kalp Yetersizliği Hastalarında Medikal Tedavi Dışı Tedavi Yöntemleri
Samet YILMAZ
Korunmuş EF’li Kalp Yetersizliği Olgusu
Özlem KARACA
Kardiyorenal Sendrom Tanı ve Tedavisi
Ufuk İYİGÜN
Gezdikçe Yazdıklarım
Authors: Sönmez Savaş
Published: February 2024

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Mechanisms for radical reactions initiating from N-hydroxyphthalimide esters
Authors: Azpilcueta-Nicolas Carlos R , Lumb Jean-Philip
Published: February 2024

Due to their ease of preparation, stability, and diverse reactivity, N-hydroxyphthalimide (NHPI) esters have found many applications as radical precursors. Mechanistically, NHPI esters undergo a reductive decarboxylative fragmentation to provide a substrate radical capable of engaging in diverse transformations. Their reduction via single-electron transfer (SET) can occur under thermal, photochemical, or electrochemical conditions and can be influenced by a number of factors, including the nature of the electron donor, the use of Brønsted and Lewis acids, and the possibility of forming charge-transfer complexes. Such versatility creates many opportunities to influence the reaction conditions, providing a number of parameters with which to control reactivity. In this perspective, we provide an overview of the different mechanisms for radical reactions involving NHPI esters, with an emphasis on recent applications in radical additions, cyclizations and decarboxylative cross-coupling reactions. Within these reaction classes, we discuss the utility of the NHPI esters, with an eye towards their continued development in complexity-generating transformations.
Tinjauan Atas Penanganan Keluhan Pelanggan Pada Hotel The Mirah Bogor
Authors: Nurmayani Nazia , Nurendah Yulia , Pujiastuti Sri
Published: February 2024

Industri perhotelan di kota Bogor semakin berkembang seiring dengan terus bertambahnya jumlah hotel yang ada di kota Bogor. Hal ini menyebabkan adanya persaingan yang ketat sehingga perusahaan harus memiliki kualitas pelayanan yang baik agar dapat bersaing, penanganan keluhan pelanggan adalah salah satu cara dalam meningkatkan kualitas pelayanan. Penelitian bertujuan untuk mengetahui : 1) Bagaimana penanganan keluhan pelanggan pada Hotel The Mirah. 2) Hambatan dalam penanganan keluhan pelanggan pada Hotel The Mirah. 3) Bagaimana upaya untuk mengatasi hambatan dalam penanganan keluhan pelanggan pada Hotel The Mirah.
Berdasarkan hasil dari tinjauan ini, diketahui bahwa : 1) Hotel The Mirah menangani keluhan pelanggan dengan metode ILEAD (Identify, Listen, Empathize, Apologize, dan Deliver solution). 2) Terdapat hambatan dalam penanganan keluhan pelanggan yaitu mengetahui karakter pelanggan, tingkat kepuasan tamu yang berbeda, dan Tamu menyampaikan keluhan tanpa melihat keadaan. 3) Adapun upaya yang dilakukan oleh Hotel The Mirah dalam menangani hambatan tersebut yaitu dengan memberikan pelayanan terbaik, bekerja dengan profesional sesuai dengan prosedur perusahaan, dan melakukan peningkatan fokus dan cepat tanggap dalam melakukan penanganan keluhan pelanggan.
 
Kata kunci keluhan pelanggan, pelayanan
Efektivitas Peran Bappeda Dalam Perencanaan Pendapatan Asli Daerah (PAD) Di Kabupaten Aceh Barat Daya
Authors: Yusnira Desi , Sartika Dewi
Published: February 2024

Increasing PAD (Pendapatan Asli Daerah) or local original income will have a good influence on increasing regional development and development. The better the contribution of PAD to the APBD (Anggaran Pendapatan dan Belanja Daerah), the less the government's fiscal dependence will be. This research was conducted to find out how effective the role of Bappeda is in planning local revenue in Southwest Aceh Regency. The type of research used is qualitative research with descriptive analysis method, which is research that refers to the preparation of theories formed by collecting data, compiling data, and analysing data. The data used in this study were sourced from primary and secondary data, which were obtained through observation and interviews. The results of the study concluded that in general the role of the Regional Development Planning Agency of Southwest Aceh Regency in Planning for Regional Original Revenue (PAD) is included in the criteria very effective, this can be seen from the average value of the effectiveness level of regional original revenue revenue of Southwest Aceh Regency during 2019 to 2022 which is 107.51%.
A new genus Meyameta for South African “Napta” straminea and description of its sister species from Namibia (Lepidoptera, Lasiocampidae)
Authors: Prozorov Alexey M. , Volkova Julia S. , Saldaitis Aidas , Prozorova Tatiana A. , Sulak Harald , Yakovlev Roman V. , Traore Mohamed M. , Revay Edita E. , Müller Günter C.
Published: February 2024

A new genus Meyameta gen. n. is established for the South African Glocia straminea Aurivillius, 1921 which was considered within the Madagascan genus Napta Guenée, 1865 (type species Napta serratilinea Guinée, 1865) and a new species Meyameta roberti sp. n. from Namibia is described. The new genus is compared with the genera Napta and Henometa Aurivillius, 1927 (type species South African Pachymeta clarki Aurivillius, 1909).
Glutamine Modulates Heat Shock Proteins, Endoplasmic Reticulum Stress and Cell Death in Rats with Thioacetamide-Induced Severe Acute Liver Failure
Authors: G Schemitt* Elizangela , Rosa Carlos GS , S Fillmann Henrique , S Dias Alexandre , A Marroni Claudio , P Marroni Norma
Published: February 2024

Severe Acute Liver Failure (SALF) is characterized by sudden dysfunction of liver cells in previously healthy persons without known underlying liver disease. Effective therapeutic approaches are necessary in an attempt to minimize the damage resulting from liver failure. Glutamine is considered to be an amino acid that plays many essential metabolic functions. This study was designed to evaluate the action of glutamine in protecting against cellular disturbances resulting from Thioacetamide (TAA)-induced SALF in rats. Two doses of thioacetamide (400 mg/kg) and 3 doses of glutamine (25 mg/kg) (ip) were administered. The experiment lasted 48 hours. Glutamine reduced blood levels of AST and ALT in TAA-treated rats. Histological evaluation indicated that glutamine acted in tissue protection by reducing the inflammatory infiltrate, ballooning and centrilobular necrosis induced by SALF, consequently restoring the hepatic parenchyma. Glutamine increased total protein levels and decreased carbonylated protein levels in the liver of SALF animals. Glutamine also acted by modulating HSF-1 and heat shock proteins expression, as well as by decreasing the expression of proteins involved in endoplasmic reticulum stress (GRP78, ATF6 and CHOP), and modifying the expression of apoptosis-related (Bcl -2, Bax and caspase 3) and autophagy-related (mTOR, Beclin1 and LC3α/β) proteins. These effects related to changes in PI3K, Akt and FOXO3a expression. Data obtained support a potential hepatoprotective role of glutamine in SALF.
Oxygen Toxicity
Authors: Jing SHI , Jiaqi Yan , Chenyang Yan , Tingting Zhang , Yi-qun* FanG
Published: February 2024

In a broad sense, if the oxygen partial pressure is higher than the oxygen partial pressure at atmospheric pressure (21kPa), they can be called high partial pressure oxygen or hyperoxia. Hyperoxia is often used in diving operations, underwater special operations and clinic treatment. When in diving operations. Hyperoxia can shorten the decompression time after diving and avoid decompression sickness. In underwater special operations, a fully closed breathing apparatus is used to breathe high partial pressure. Oxygen can also improve its concealment. Hyperoxia can also improve the function of ischemic and hypoxic tissues in clinic treatment. However, if the oxygen pressure exceeds a certain threshold, or the breathing oxygen exceeds a certain time, it will cause adverse effects on the body, that is, oxygen toxicity. Currently, oxygen toxicity is a major factor that limited oxygen use in diving operations, underwater special operations, and clinical treatment. Oxygen toxicity is divided into lung type, brain type and eye type. When the oxygen partial pressure is between at 60 ~ 200 kPa, the damage to the body is mainly manifested in the lungs. It is called pulmonary oxygen toxicity. When the oxygen partial pressure exceeds 300 kpa, the damage caused by oxygen toxicity is mainly manifested in the central nervous system, which is called central nervous system oxygen toxicity or brain-type oxygen toxicity.
Automated Falls Detection Using Visual Anomaly Detection and Pose-based Approaches: Experimental Review and Evaluation
Authors: Qiu Yuting , Meng James , Li* Baihua
Published: February 2024

Falls are a pervasive problem facing elderly populations, associated with significant morbidity and mortality. Prompt recognition of falls, especially in elderly people with cognitive or physical impairments who cannot raise the alarm themselves, is a challenge. To this end, wearable sensors can be used to detect fall behaviour, including smartwatches and wristbands. These devices are limited by their intrusiveness, require user compliance and have issues around endurance and comfort, reducing their effectiveness in elderly populations. They can also only target patients already recognised as falls risks, and cannot apply to non-identified patients. Leveraging state of the art AI deep learning, we introduce two types of automated fall detection techniques using visual information from cameras: 1) self-supervised autoencoder, distinguishing falls from normal behaviour as an anomaly detection problem, 2) supervised human posture-based fall activity recognition. Five models are trained and evaluated based on two publicly available video datasets, composed of activities of daily living and simulated falls in an office-like environment. To test the models for real-world fall detection, we developed two new datasets, including videos of real falls in elderly people, and more complex backgrounds and scenarios. The experimental results show autoencoder detectors are able to predict falls directly from images where the background is pre-learned. While the pose-based approach uses foreground body pose only for AI learning, better targeting complex scenarios and backgrounds. Video-based methods could be a potential for low-cost and non-invasive falls detection, increasing safety in care environments, while also helping elderly people retain independence in their own homes.
A Review of Genetic Algorithm: Operations and Applications
Authors: Faizatulhaida Md Isa  , Wan Nor Munirah Ariffin  , Muhammad Shahar Jusoh  , Erni Puspanantasari Putri
Published: February 2024

This article presents a review of the Genetic Algorithm (GA), a prominent optimization technique inspired by natural selection and genetics. In the context of rapidly evolving computational methodologies, GA have gained considerable attention for their efficacy in solving complex optimization problems across various domains. The background highlights the growing significance of optimization techniques in addressing real-world challenges. However, the inherent complexity and diversity of problems necessitate versatile approaches like GA. The problem statement underscores the need to explore the underlying operations and applications of GA to provide a nuanced understanding of their capabilities and limitations. The objectives of this review encompass delving into the fundamental genetic operators, such as selection, crossover, and mutation, while examining their role in maintaining diversity and converging toward optimal solutions. Methodology-wise, a systematic analysis of existing literature is undertaken to distil key insights and trends in GA applications. The main findings show the adaptability of GA in tackling problems spanning engineering, economics, bioinformatics, and beyond. By facilitating the discovery of optimal or near-optimal solutions within large solution spaces, GA proves its mettle in scenarios where traditional methods fall short. The conclusion underscores the enduring relevance of GA in the optimization landscape, emphasizing their potential to remain a pivotal tool for addressing intricate real-world challenges, provided their parameters are fine-tuned judiciously to balance exploration and exploitation.
Фразеология в современной коммуникации : от вербальной к мультимодальной репрезентации
Authors: Aleksandrova E. V.
Published: February 2024

Данная монография рассматривает фразеологическую единицу во всем многообразии ее использования в современном коммуникативном пространстве: от вербального текста (художественной литературы, газетной статьи и ее заголовка или публичного выступления) до мультимодальных единств (мемов, анимированных изображений, графических элементов и т. д.). Читателям предлагается посмотреть на фразеологию в аспекте филологической герменевтики, которая предполагает переход от традиционно рассматриваемого уровня значений на уровень смысловых отношений и рассмотрение фразеологической единицы как системы явных и неявных смыслов. Монография представляет собой теоретическое обобщение некоторых аспектов исследования фразеологии в рамках международного исследовательского проекта «Фразеологический аспект в обучении иностранному языку на основе визуальной метафоризации». Исследование выполнено при поддержке РФФИ и АНФ в рамках научного проекта № 21-512-14002. Работа рассчитана на широкий круг читателей и может быть полезна студентам лингвистических направлений подготовки, магистрантам и аспирантам, а также лингвистам и филологам, интересующимся вопросами фразеологии, межкультурной коммуникации и перевода.
OBSERVASI PROGRAM PENGENALAN LAPANGAN PERSEKOLAHAN (PLP) II DI PAUD TERPADU CITRA BAKTI
Authors: Ngura Elisabeth , Wona Melania Santika , Wangge Elisabet Klaudia , Wea Maria Rosari
Published: February 2024

PAUD merupakan singkatan dari Pendidikan Anak Usia Dini. Anak merupakan individu yang belum dewasa. Sedangkan anak usia dini merupakan anak yang berada pada rentang usia 0 sampai 6 tahun Pengenalan Lapangan Persekolahan (PLP) merupakan salah satu mata kuliah wajib yang harus ditempuh oleh seluruh mahasiswa STKIP Citra Bakti Ngada yang mengambil jurusan kependidikan. Dalam pelaksanaannya, mahasiswa melaksanakan tugas-tugas kependidikan dan tenaga pendidik dalam hal ini guru yang meliputi kegiatan praktek mengajar atau kegiatan kependidikan lainnya.

Jenis penelitian ini adalah penelitian lapangan (field research) dalam bentuk penelitian deskriptif yang menggambarkan mengenai situasi-situasi atau kejadian-kejadian. Penelitian yang berusaha memuat deskriptif fenomena yang diselidiki dengan cara melakukan dan mengklasifikasi fakta atau karakteristik fenomena tersebut secara faktual
UPAYA MENINGKATKAN HASIL BELAJAR NUMERASI MELALUI METODE PROBLEM-BASED LEARNING PADA PESERTA DIDIK KELAS VI UPTD SD NEGERI DAMU
Authors: Anu Maria Kalista , Bhoke Wilibaldus
Published: February 2024

Tujuan penelitian ini adalah untuk mengetahui peningkatkan hasil belajar numerasi melalui metode problem based learning ( PBL ) pada peserta didik kelas VI UPTD SD Negeri Damu. Subjek penelitian adalah peserta didik kelas VI yang terdaftar di UPTD SD Negeri Damu sebanya 7 orang. Teknik pengumpulan data melalui observasi, catatan lapangan, dokumentasi, wawancara dan tes. Data dikumpulkan  kemudian dianalisis menggunakan teknik persentase. Hasil penelitian menunjukkan bahwa pembelajaran numerasi khususnya pada kelas VI sudah mulai meningkat. Hal ini dilihat dari perolehan nilai rata-rat dari hasil belajar numerasi siswa yang sebelumnya 5,27% naik menjadi 6,21%. Nilai rata-rata tes akhir yang diberikan pada masing-masing siklus meningkat. Nilai rata-rata tes akhir hasil belajar matematika sebesar siswa pada siklus I sebesar 60,9 pada siklus II sebesar 70 dan pada siklus III sebesar 85,5. Jumlah siswa yang mencapai kriteria prestasi rendah juga mendaptkan peningkatan. Pada siklus I jumlah siswa sebanyak 3 orang sebanyak 42,85%, pada siklus II ada berjumlah 2 siswa sebanyak 28,57% dan pada siklus III berjumlah 2 siswa sebanyak sebesar 28,57%.
PENDAMPINGAN PENGGUNAAN MEDIA MAZE DALAM MENGENAL ANGKA DI TKK ST. GABRIEL MANGULEWA
Authors: Deo Maria Goreti , Bhara Maria Aneti Konstantina , Mamo Yuliana , Nafsia Andi
Published: February 2024

Pendidikan Anak Usia Dini bertujuan untuk mendorong berkembangnya pontensi AUD agar memiliki kesiapan untuk menempuh pendidikan selanjutnya. Memaknai kesiapan menempuh pendidikan selanjutnya mencakup kemampuan-kemampuan yang diperlukan untuk menunjang keberhasilan anak dalam mengikuti pendidikan di jenjang lebih tinggi. Maze angka merupakan alat permainan edukatif yang dapat digunakan dlam mengenalkan angka pada anak. Tujuan dari pendampingan ini adalah memanfaatkan media maze di TKK St. Gabriel Mangulewa untuk meningkatkan kemampuan mengenal angka bagi anak usia 5-6 tahun. Media Maze angka ini merupakan alat permainan yang baik bagi perkembangan beberapa aspek, salah satunya aspek Kognitif AUD. Hal ini dilihat dari pendampingan dalam penggunaan Media Maze di TKK St. Gabriel Mangulewa. Kemampuan kognitif adalah keterampilan berbasis otak yang dieperlukan untuk melakukan suatu tugas dari yang sederhana hingga kompleks. Pada anak-anak, kemampuan kognitif berarti kemampuan anak berpikir, memahami, mengeksplorasi, dan mencari tahu hal-hal disekitar mereka.
IMPLEMENTASI NILAI-NILAI KARAKTER BAGI PESERTA DIDIK MELALUI KEGIATAN PENDAMPINGAN IMAN DI SD INPRES MALAFAI
Authors: Malo Martha , Ngura Elisabeth Tantiana , Dhiu Konstantinus Dua , Nafsia Andi
Published: February 2024

Pendidikan karakter merupakan aspek penting dalam pembentukan pribadi dan moral peserta didik. Salah satu metode yang efektif dalam mengimplementasikan nilai-nilai karakter adalah melalui kegiatan pendampingan iman. Kegiatan  ini bertujuan untuk mendiskripsikan implementasikan nilai-nilai karakter peserta didik melalui kegiatan pendampingan iman di UPTD SD Inpres Malafai.  Penelitian ini menggunakan jenis penelitian deskriptif kualitatif. Metode obesrvasi, wawancara dan dokumentasi.   

Subyek dalam kegiatan adalah siswa-siswa UPTD SD Inpres Malafai dengan jumlah peserta didik 64 siswa. Hasil penelitian ini menunjukkan Pendidikan karakter memiliki makna lebih tinggi dari pendidikan moral, karena pendidikan karakter tidak hanya berkaitan dengan masalah benar – salah, tetapi bagaimana menanamkan kebiasaan (habit) tentang hal-hal yang baik dalam kehidupan sehingga peserta didik memiliki kesadaran dan pemahaman yang tinggi serta kepedulian dan komitmen untuk menerapkan kebajikan dalam kehdupan sehari-hari. Pembinaan iman merupakan sebuah kegiatan pengembangan  untuk membentuk kepribadian seseorang melalui berbagai kegiatan yang benilai religius. seperti sekami, katekese, berdoa bersama, ziarah bersama, baca kitab suci, sharing bersama, ibadah bersama serta peneguhan-peneguhan yang bertujuan baik.

Pendidikan karakter merupakan aspek penting dalam pembentukan pribadi dan moral peserta didik. Salah satu metode yang efektif dalam mengimplementasikan nilai-nilai karakter adalah melalui kegiatan pendampingan iman. Kegiatan  ini bertujuan untuk mendiskripsikan implementasikan nilai-nilai karakter peserta didik melalui kegiatan pendampingan iman di UPTD SD Inpres Malafai.  Penelitian ini menggunakan jenis penelitian deskriptif kualitatif. Metode obesrvasi, wawancara dan dokumentasi.   

Subyek dalam kegiatan adalah siswa-siswa UPTD SD Inpres Malafai dengan jumlah peserta didik 64 siswa. Hasil penelitian ini menunjukkan Pendidikan karakter memiliki makna lebih tinggi dari pendidikan moral, karena pendidikan karakter tidak hanya berkaitan dengan masalah benar – salah, tetapi bagaimana menanamkan kebiasaan (habit) tentang hal-hal yang baik dalam kehidupan sehingga peserta didik memiliki kesadaran dan pemahaman yang tinggi serta kepedulian dan komitmen untuk menerapkan kebajikan dalam kehdupan sehari-hari. Pembinaan iman merupakan sebuah kegiatan pengembangan  untuk membentuk kepribadian seseorang melalui berbagai kegiatan yang benilai religius. seperti sekami, katekese, berdoa bersama, ziarah bersama, baca kitab suci, sharing bersama, ibadah bersama serta peneguhan-peneguhan yang bertujuan baik.
Um Balanço das regionalizações do saneamento básico após a revisão do Marco Regulatório (Lei nº 14.026/2020)
Authors: Pollini Paula , Clauzet Mariana , Barbosa Eduardo Caetano
Published: February 2024

Este artigo explora especificamente sobre o "incentivo e direcionamento à regionalização do saneamento", o eixo estruturante da regionalização do saneamento, em que os estados são incentivados a agrupar seus municípios em regiões, por meio de lei estadual. O tema não é recente no Brasil, tendo sido tratado na década de 1970 e também após o marco promulgado em 2007, sendo registradas iniciativas regionais/estaduais em diversas oportunidades e sob distintos arranjos, tendo em vista a escala (por exemplo, consórcios, contratos de programa) e a viabilidade da prestação (subsídios entre municípios e entre usuários – via prestadoras). Entretanto, embora a prestação dos serviços seja um dos objetivos da regionalização, o disposto na legislação de 2020 não deve ser confundido com a prestação regionalizada dos serviços, como se aborda adiante neste texto. Por isso, é oportuno o registro dos arranjos liderados pelos estados para o cumprimento da lei.
Precisamos desenterrar a drenagem urbana no Brasil
Authors: Mendes Alesi Teixeira
Published: February 2024

O texto fala sobre a drenagem urbana no Brasil e como essa percepção tem mudado ao redor do mundo. O autor, Hippolyto da Silva, escreveu um artigo em 1937 criticando a construção de galerias subterrâneas sem consideração pelo espaço urbano na superfície. Ele defende que a drenagem urbana pode ser valorizada se vista de forma sustentável, integrada e multifuncional. Essa percepção tem se espalhado pelo mundo, com cidades incorporando sistemas de drenagem urbana sustentáveis e infraestrutura verde para gerenciar águas pluviais e melhorar a qualidade da água nos rios locais. No entanto, essa incorporação ainda é embrionária e a percepção em torno da drenagem urbana continua limitada à expansão e ao reforço das galerias subterrâneas, com pouca eficiência em gerenciar a qualidade da água.
Desenvolvimento regional no Brasil : contribuições do Ipea para uma economia política das políticas regionais
Authors: Monteiro Neto Aristides
Published: February 2024

O ensaio traz o registro de um esforço de pesquisa realizado na Diretoria de Estudos e Políticas Regionais, Urbanas e Ambientais (Dirur) desde 2015 até o presente no campo do desenho, da implementação e do monitoramento da Política Nacional de Desenvolvimento Regional (PNDR). Corresponde a trabalhos realizados no âmbito de longa parceria institucional com o Ministério do Desenvolvimento Regional para avaliação e atualização daquela política. A sistematização dos estudos empreendidos mostra como a Dirur vem, ao lado de outros esforços nas áreas urbana, ambiental, federativa e de sustentabilidade rural, notabilizando sua expertise em reflexões apuradas e adequadas às demandas do governo brasileiro. A pesquisa empreende simultaneamente diagnósticos de processos e reconfigurações territoriais em curso no país e discute os temas da governança, de atores e instrumentos da PNDR em consonância com o contexto, a correlação de forças políticas e as possibilidades institucionais prevalecentes para organizar suas sugestões de melhorias.
Uma Agenda sobre federalismo no Brasil
Authors: Mendes Constantino Cronemberger , Vasconcellos Ronaldo Ramos
Published: February 2024

O federalismo é um princípio político e organizacional que divide o poder entre o governo central e unidades subnacionais, como estados e municípios, permitindo uma considerável autonomia política e administrativa. Essa estrutura visa equilibrar o poder e adaptar políticas públicas às necessidades locais em um país diversificado como o Brasil, com vasta extensão territorial e desigualdades regionais. Estudos do Instituto de Pesquisa Econômica Aplicada (Ipea) abordam desafios do federalismo brasileiro, como as persistentes desigualdades regionais e a eficácia das transferências de recursos entre os níveis de governo. Também exploram a importância de garantir a responsabilidade fiscal e coordenar competências entre diferentes esferas de governo. O Boletim Regional, Urbano e Ambiental da Diretoria de Estudos e Políticas Regionais, Urbanas e Ambientais (Dirur) do Ipea tem sido um veículo para disseminar estudos e análises sobre o federalismo brasileiro. Os temas abordados incluem reforma tributária, sustentabilidade ambiental, educação e saúde, participação da sociedade civil e a relação entre governo federal e estados. As tendências e áreas promissoras de pesquisa sobre federalismo no Brasil incluem a integração com a sustentabilidade ambiental, reforma tributária, melhoria na prestação de serviços públicos, envolvimento da sociedade civil, desafios digitais, gestão de crises, equidade de gênero, estudos comparativos internacionais, avaliação de políticas públicas e uma abordagem interdisciplinar. Em resumo, o federalismo desempenha um papel crucial na governança brasileira, adaptando-se às complexidades do país. Pesquisas contínuas são essenciais para enfrentar os desafios e aproveitar as oportunidades do federalismo, garantindo uma governança democrática eficaz e equitativa no Brasil.
Analysis of push and pull factors influencing the migration of Ugandan domestic workers to Saudi Arabia
Authors: Asiimwe Florence Munyonyo , Musinguzi Denis
Published: February 2024

The study explored the push and pull factors driving Ugandan domestic workers to migrate to Saudi Arabia. The research paradigm employed was social constructivism, where individuals seek to understand their world and develop meanings based on their experiences. A qualitative approach using a phenomenological research design was utilised. Data was collected from a sample of eighteen (18) respondents through unstructured interviews to identify the factors contributing to the migration of Ugandan domestic workers to Saudi Arabia. Thematic analysis was conducted during data analysis. The migration factors were presented in concept maps created using Nvivo 10.0. The study uncovered that push factors varied from person to person, but major ones included poverty, unemployment, school dropout, family obligations, marital neglect, domestic violence, personal development goals, poor working conditions, work-related challenges, peer influence, and single parenting. Pull factors include the influence of Arabian family culture that promotes the demand for maids, bilateral labour agreements, adventure, attractive job prospects, free travel documents, cost-effective job processes, and an easy migration process. The study concluded that without effectively addressing push factors to provide long-term solutions, the migration of Ugandan domestic workers to Saudi Arabia will persist. It is recommended that the Government of Uganda take steps to create a conducive environment with satisfying employment opportunities for these young individuals to reduce the number of people seeking jobs outside Uganda. This involves generating employment opportunities to regulate internal domestic work and make it highly profitable, thereby encouraging young people to remain in Uganda.
Antipredator behavior of a nonsmooth ecological model with a state threshold control strategy
Authors: Chen Shuai , Qin Wenjie
Published: February 2024

A nonsmooth ecological model was proposed and analyzed, focusing on IPM, state-dependent feedback control strategies, and anti-predator behavior. The main objective was to investigate the impact of anti-predator behavior on successful pest control, pest outbreaks, and the dynamical properties of the proposed model. First, the qualitative behaviors of the corresponding ODE model were presented, along with an accurate definition of the Poincaré map in the absence of internal equilibrium. Second, we investigated the existence and stability of order-k (where k = 1, 2, 3) periodic solutions through the monotonicity and continuity properties of the Poincaré map. Third, we conducted numerical simulations to investigate the complexity of the dynamical behaviors. Finally, we provided a precise definition of the Poincaré map in situations where an internal equilibrium existed within the model. The results indicated that when the mortality rate of the insecticide was low or high, the boundary order-1 periodic solution of the model was stable. However, when the mortality rate of the insecticide was maintained at a moderate level, the boundary order-1 periodic solution of the model became unstable; in this case, pests and natural enemies could coexist.
SASEGAN-TCN: Speech enhancement algorithm based on self-attention generative adversarial network and temporal convolutional network
Authors: Lv Rongchuang , Chen Niansheng , Cheng Songlin , Fan Guangyu , Rao Lei , Song Xiaoyong , Lv Wenjing , Yang Dingyu
Published: February 2024

Traditional unsupervised speech enhancement models often have problems such as non-aggregation of input feature information, which will introduce additional noise during training, thereby reducing the quality of the speech signal. In order to solve the above problems, this paper analyzed the impact of problems such as non-aggregation of input speech feature information on its performance. Moreover, this article introduced a temporal convolutional neural network and proposed a SASEGAN-TCN speech enhancement model, which captured local features information and aggregated global feature information to improve model effect and training stability. The simulation experiment results showed that the model can achieve 2.1636 and 92.78% in perceptual evaluation of speech quality (PESQ) score and short-time objective intelligibility (STOI) on the Valentini dataset, and can accordingly reach 1.8077 and 83.54% on the THCHS30 dataset. In addition, this article used the enhanced speech data for the acoustic model to verify the recognition accuracy. The speech recognition error rate was reduced by 17.4%, which was a significant improvement compared to the baseline model experimental results.
Science 4.0 as a Model of Scientific Activity in an Innovative Environment of Industry 4.0
Authors: Mehdiyev Shakir A. , Fataliyev Tahmasib Kh.
Published: February 2024

Technological innovations in the generation, storage, transmission, and processing of data have transformed traditional scientific activities and contributed to the accelerated development of the concept of “data-driven science.” The article analyzes the image of Science 4.0 in a new format since organizing and managing scientific activities with the widespread use of the Industry 4.0 technological platform has become relevant here. A four-level classification of stages in the development of science and the use of e-Science as a technological platform for Science 4.0 is proposed. The essence of Science 4.0 is revealed in the analysis of works devoted to scientific research with broad involvement of the internet of things, cyber-physical systems, artificial intelligence, cloud computing, big data analytics, and other intelligent solutions. Implementation of the proposed concept contributes to an increase in the efficiency of scientific research and supports solutions for the operational management of science.
Manufacturing Process Optimization in the Process Industry
Authors: Liu Shilin , Cheng Hanlie
Published: February 2024

This paper introduces a technology, a data-driven optimization model of manufacturing service in intelligent manufacturing process using deep learning algorithm and resource agent (DDR), and a data-driven resource agent that represents available manufacturing resources. Asset agent is an intelligent module of entity production unit, which has powerful functions of data processing and service management. This paper includes the method of designing expert-based processes, the current process realization model, and the key performance indicators (KPI) used to evaluate the optimization work. The model aims to maximize efficiency, reduce the cost of manufacturing resources, improve the production and maintenance efficiency of network resources, and improve the manufacturing service level. Finally, the efficiency and technical feasibility of the model are evaluated through a typical example of industrial product production process.
Digital Twin System Utilizing Hybrid Approach of Physics Model and Machine Learning for Pipe Stuck Early Identification and Warning Based on Real-Time Data
Authors: Zhang Jiawei , Wang Haige , Ji Guodong , Zhuo Lubin , Zhao Zhixue , Liu Xiaoao , Chen Weifeng
Published: February 2024

Pipe stuck accident is one of the primary causes contributing to NPT (Non-Productive Time) in the drilling industry, incurring global financial losses amounting to hundreds of millions annually. For decades, Practices and techniques have been formulated and developed to avoid and tackle this downhole accident, while the early detection and proactive management are critical for effectively preventing this issue at its early stage.

This paper presents the development and implementation of a novel digital Twin system, which amalgamates physics-based modeling and machine learning to facilitate real-time monitoring and early warning of pipe stuck while drilling. The system performs a real-time simulation of hook load, torque, and SPP (Standpipe Pressure) under various drilling states based on T&D and wellbore hydraulics models, which undergo verification and calibration within predefined computing cycles in order to enhance accuracy and reduce error margins. The PSRI (Pipe Stuck Risk), ranging from 0-100%, is based on ROC (Rate of change) of these three actual drilling parameters and the deviation of the simulated value from actual ones under different drilling states, is proposed to provide a comprehensive risk assessment over time series regardless of drilling state. A Continuous, real-time assessment of pipe stuck risk, categorized into low (green), medium (yellow), and high (red) levels, can be realized with thresholds for parameter deviation and ROC derived from historical data of wells with and without pipe stuck accidents and RFA (Random Forest Algorithm).

The system is designed to alert users such as drillers or monitoring specialists with visual and auditory signals when a high-risk scenario is detected, prompting immediate preventative or corrective actions. Case studies have shown that the system could provide early warnings of high-risk of pipe stuck typically between 30 minutes to 2 hours ahead, particularly during back-reaming and tripping operation. This capability demonstrates the system’s effectiveness in early identification and detection of this downhole accident under different drilling states.

The system exemplifies a paradigm shift towards more efficient, safe, and predictive operational modes for early detection and warning of pipe stuck, demonstrating digital twin-driven technique could enhance the capture and utilization of digital data for cost containment and operational efficiency gains while drilling, thereby minimizing NPT and enhancing drilling optimization.