bluuebunny/crossref_metadata_2025_split huggingface dataset:
Meningkatkan Kemampuan Kognitif Melalui Media Balok Angka Pada Anak Kelompok B Di Paud Mentari Desa Nanjungan
Authors: Fasiska Yesi , Haryono Mimpira , Sari Rika Partika 
Published: March 2024

Tujuan penelitian ini adalah untuk mengetahui kemampuan kognitif anak melalui media balok angka pada kelompok B di Paud Mentari Desa Nanjungan untuk mengetahui peningkatan kemampuan kognitif anak melalui media balok angka pada kelompok B di Paud Mentari Desa Nanjungan. Penelitian Tindakan Kelas (PTK) yang difokuskan pada keadaan atau situasi kelas, atau lazim dikenal dengan classroom action research prosedur yang digunakan berbentuk siklus (cycle). Hasil penelitian ini menunjukkan terjadi peningkatan tiap siklusnya. Dimana Siklus I pertemuan I sebesar 51 %, pertemuan ke II sebesar 57%. Dan siklus II pertemuan I sebesar 70%, pertemuan II sebesar 85%. Simpulan penelitian bahwa kemampuan kognitif anak melalui media balok angka di PAUD Mentari Desa Nanjungan mengalami peningkatan dengan kriteria Berkembang Sangat Baik (BSB).
Analisis Kemampuan Pembuktian Matematis Mahasiswa Melalui Pendekatan Deduktif pada Mata Kuliah Geometri
Authors: Afandi Ahmad , Angkotasan Nurma 
Published: March 2024

Penelitian ini merupakan penelitian deskriptif yang bertujuan untuk menganalisis kemampuan pembuktian matematis mahasiswa melalui pendekatan deduktif pada matakuliah geometri. Subjek penelitian adalah mahasiswa program studi pendidikan matematika semester I tahun akademik 2020/2021. Instrumen pada penelitian ini menggunakan instrumen tes yang terdiri dari 2 butir soal kemampuan pembuktian matematis. Indikator kemampuan pembuktian matematis yang digunakan pada penelitian ini yaitu kemampuan membaca pembuktian matematis dan kemampuan mengontruksi bukti matematis.Â Hasil penelitian menunjukan bahwa 16 mahasiswa dari 30 mahasiswa telah mampu membaca pembuktian matematis dan 14 mahasiswa dari 30 mahasiswa telah mampu mengontruksi pembuktian matematis.
PENGARUH PENERAPAN E-SAMSAT, KUALITAS PELAYANAN PAJAK DAN SANKSI PERPAJAKAN TERHADAP KEPATUHAN PAJAK KENDARAAN BERMOTOR DI KOTA BATAM
Authors: Tapun Ledi Angreni Tapun 
Published: March 2024

The purpose of this research is to obtain evidence that can influence for application in e-samsat, Tax Employee Service, And Tax Sunctions on Tax Payer Compliance paying vehicle tax in Batam City. 100 responders served as the study’s sample. Data was gathered via a questionnaire. Several research techniques are applied to fulfill the goal of the research including and descriptive statistical analysis, validity test, reability test,test classical assumption (normality test, multicollinearity test, heteroscedasticity test), multiple regression analysis, hipotesys test (t test, f test, coefficient determination test). The result of this study showed that the influence application of e-samsat, Tax Employee Service and tax sanctions have effect dan signifikan on tax compliance paying vehicle tax in Batam City.
Pain mechanisms in the transgender individual: a review
Authors: Anger Jennifer T. , Case Laura K. , Baranowski Andrew P. , Berger Ardin , Craft Rebecca M. , Damitz Lyn Ann , Gabriel Rodney , Harrison Tracy , Kaptein Kirsten , Lee Sanghee , Murphy Anne Z. , Said Engy , Smith Stacey Abigail , Thomas David A. , Valdés Hernández Maria del C. , Trasvina Victor , Wesselmann Ursula , Yaksh Tony L. 
Published: March 2024

Specific AimProvide an overview of the literature addressing major areas pertinent to pain in transgender persons and to identify areas of primary relevance for future research.MethodsA team of scholars that have previously published on different areas of related research met periodically though zoom conferencing between April 2021 and February 2023 to discuss relevant literature with the goal of providing an overview on the incidence, phenotype, and mechanisms of pain in transgender patients. Review sections were written after gathering information from systematic literature searches of published or publicly available electronic literature to be compiled for publication as part of a topical series on gender and pain in the Frontiers in Pain Research.ResultsWhile transgender individuals represent a significant and increasingly visible component of the population, many researchers and clinicians are not well informed about the diversity in gender identity, physiology, hormonal status, and gender-affirming medical procedures utilized by transgender and other gender diverse patients. Transgender and cisgender people present with many of the same medical concerns, but research and treatment of these medical needs must reflect an appreciation of how differences in sex, gender, gender-affirming medical procedures, and minoritized status impact pain.ConclusionsWhile significant advances have occurred in our appreciation of pain, the review indicates the need to support more targeted research on treatment and prevention of pain in transgender individuals. This is particularly relevant both for gender-affirming medical interventions and related medical care. Of particular importance is the need for large long-term follow-up studies to ascertain best practices for such procedures. A multi-disciplinary approach with personalized interventions is of particular importance to move forward.
„Dzieci Frankensteina”? Socjalizacyjne modyfikacje procesu edukacji w dobie sztucznej inteligencji
Authors: Wrzesień Witold 
Published: March 2024

CEL NAUKOWY: Celem jest teoretyczna diagnoza wpływu tempa współczesnych przemian cywilizacyjnych – stanowiących konsekwencje rozwoju technologii informatycznych – na specyfikę modyfikacji przestrzeni socjalizacji młodzieży i ich oddziaływanie na prognozowane zmiany modelu edukacyjnego przyszłości.
PROBLEM I METODY BADAWCZE: Problem badawczy zawiera się w pytaniu: W jakich zakre­sach skok cywilizacyjny, generowany poprzez kolejne etapy cyfrowej rewolucji, modyfikuje proces socjalizacji młodzieży, tworząc nowe jego przestrzenie i nowe realizowane wzory oddziaływań o cha­rakterze edukacyjnym? Jako metodę badawczą zastosowano selektywną analizę prac teoretycz­nych oraz raportów z badań z zakresu socjologii, pedagogiki, psychologii, psychiatrii, neurobiologii i technologii informatycznych, łącząc ją z efektami własnych prac badawczych.
PROCES WYWODU: W artykule analizie poddano kształtującą się w ostatnich latach nową jakość procesu socjalizacji młodych i jej efekty w przestrzeniach edukacji, wykorzystując wybrane elementy modelu pojęciowego stosowanego do analiz świata współczesnej młodzieży w czasach przyśpie­szonych przemian cywilizacyjnych.
WYNIKI ANALIZY NAUKOWEJ: W konsekwencji powstawania nowych możliwości, dynamicz­nego rozwoju technologii informatycznych, w tym zwłaszcza systemów sztucznej inteligencji, obserwujemy tworzenie się nowych podstaw procesu socjalizacji młodzieży, co zauważalnie zazna­cza swoją obecność w przestrzeniach edukacji.
WNIOSKI, REKOMENDACJE I APLIKACYJNE ZNACZENIE WPŁYWU BADAŃ: Pojawiają­ce się w następstwie szybkich przemian cywilizacyjnych modyfikacje procesu socjalizacji młodzie­ży przyczyniają się do kształtowania nowego modelu edukacji przyszłości, a istniejący dotychczas zaczyna tracić swoje znaczenie. Niezbędne wydaje się w takiej sytuacji wypracowanie stosownych mechanizmów stałego monitorowania wpływu systemów AI na ich użytkowników.
Sztuczna inteligencja w mediach - aspekt edukacyjny
Authors: Leja Barbara 
Published: March 2024

CEL NAUKOWY: Celem artykułu jest zaprezentowanie zastosowań sztucznej inteligencji w mediach i ich wpływu na edukację
PROBLEM I METODY BADAWCZE: Problem badawczy artykułu dotyczył odpowiedzi na pytanie: Jaki wpływ na edukację mają media z zastosowaniem w nich sztucznej inteligencji? Użytą metodą była analiza danych zastanych desk research oraz przeprowadzono analizę literatury przedmiotu.
PROCES WYWODU: W artykule krótko scharakteryzowano teoretyczne podstawy nowych mediów i sztucznej inteligencji, uwzględniając dane z raportów. Opisano również zastosowanie sztucznej inteligencji w dziennikarstwie, a następnie rolę mediów w edukacji.
WYNIKI ANALIZY NAUKOWEJ: Analiza dotyczyła oddziaływania na odbiorców mediów z zastosowaniem w nich sztucznej inteligencji. Wskazane zostały wielorakie korzyści i liczne zagrożenia mające wpływ na ich aspekt edukacyjny.
WNIOSKI, REKOMENDACJE I APLIKACYJNE ZNACZENIE WPŁYWU BADAŃ: W kontekście stałej obecności mediów cyfrowych w społeczeństwie niezbędna jest edukacja medialna odbiorców. W celu uzyskania jak najlepszych rezultatów w procesach dydaktycznych i wychowawczych używając mediów z zastosowaniem w nich sztucznej inteligencji, należy podkreślić znaczenie kształtowania świadomych i odpowiedzialnych postaw użytkowników mediów szczególnie wobec nowych technologii.
FAUNA BENTOS BERUKURAN LEBIH DARI 1MM DI MUARA SUNGAI SARIO, KOTA MANADO
Authors: Maatuil Try.J. , Mamangkey Noldy G. F. , Manembu Indri S. , Boneka Farnis B. , Ompi Medy , Pangkey Henneke 
Published: March 2024

Benthic fauna is a group of benthic organisms that live on the bottom of the water or bottom of sedimentary grounds or among sediments. This study aims to understand the distribution and types of benthic faunal organisms measuring > 1mm in the Sario river at a depth of 1-3 m. Benthos sampling was carried out using a grab sampler with three repetitions. The benthic sediment sample was sieved using a 1000 m (1.0 mm) sieve. The sediment retained in the sieve was identified based on its morphological characters using a stereomicroscope. Furthermore, the number of organisms found was counted and analyzed according to the calculation of the ecological index. The results of the identification of benthic faunal organisms >1mm got a total of 60 individuals from 9 families earning an average density of 222.1 ind/m2, Diversity Index 1.04 (medium category), Uniformity Index 0.47 (medium category), and Dominance Index 0.44 (no one dominates).
Keywords: Benthic Fauna, Sario River, Density, Ecological Index
Abstrak
Fauna bentos merupakan kelompok organisme bentos yang hidup di dasar perairan atau dasar sedimen maupun di antara sedimen. Penelitian ini bertujuan untuk mendapatkan gambaran distribusi dan jenis organisme fauna bentos yang berukuran > 1mm di daerah muara sungai Sario pada kedalaman 1-3 m. Pengambilan sampel bentos dilakukan dengan menggunakan grab sampler dengan pengulangan sebanyak tiga kali. Sampel sedimen bentos diayak menggunakan saringan 1000 µm (1,0 mm). Sedimen yang tertahan di saringan kemudian diidentifikasi berdasarkan karakter morfologi dengan menggunakan bantuan mikroskop stereo. Selanjutnya jumlah organisme yang ditemukan dihitung dan dianalisis menurut perhitungan indeks ekologi. Hasil identifikasi organisme fauna bentos
>1mm mendapatkan total 60 individu dari 9 famili mendapatkan hasil rata-rata kepadatan 222,1 ind/m2, Indeks Keanekaragaman 1,04 (kategori sedang), Indeks Keseragaman 0,47 (kategori sedang) dan Indeks Dominansi 0,44 (tergolong tidak ada yang mendominasi).
Kata Kunci: Fauna bentos, Muara Sungai Sari, Kelimpahan, Indeks ekologi
Sistem Pakar Diagnosa Kelainan Stunting Balita Menggunakan Metode KNN Berbasis Web
Authors: Wulandari Amalia Rizki , Avianto Donny 
Published: March 2024

Stunting in young children is a child nutrition problem in Indonesia. This research has the main objective of preventing and overcome it through a technique that can predict stunted babies based on data or information. This study using KNN method uses 125 test data and the value of k = 3 gives an accuracy of 96%. This includes 119 accurate predictions and 6 inaccurate predictions. The aim of this study is to predict the outcome of stunting in toddlers. If they fall into the stunting category, the parents of the toddler must pay more attention to the nutritional development of the toddler to be able to minimize the stunting rate in Indonesia.
Hubungan Antara Keterampilan Menyimak dengan Menulis Bahasa Arab pada Peserta Didik Kelas X MA DDI Lil Banat Parepare
Authors: Khaerati Nur 
Published: March 2024

This article discusses the relationship between listening skills and Arabic writing skills in Class X MA DDI Ujung Lare Parepare students. This research uses a quantitative type of research. This research is correlation research. The results of this research show: 1) The total score for the Arabic listening skills variable obtained from the research results is 3477: 4000 = 0.869 or 86.9% of the specified criteria, and is in the high category. 2) The total variable score on Arabic writing skills for Class 3) Based on the t valuecountof 3.811 is consulted with the t value table (3.811 > 0.681, meaning that there is a significant correlation or relationship between listening skills and Arabic writing skills in Class X MA DDI Ujung Lare Parepare students.
Keywords: Listening Skills, Arabic writing skills.
The Need To Visualize Sudoku
Authors: Ipe Navin , Kulkarni Raghavendra V. 
Published: March 2024

Publication reference:
https://doi.org/10.1007/978-981-99-9037-5_10
Sudoku puzzles are easily solved using backtracking algorithms. Yet,
literature is scattered with various shy and often opaque attempts at
using evolutionary algorithms and hybridizing them with known strategies
of solving the puzzle. Evolutionary methods are serendipitous in nature,
and this paper demonstrates the behaviour of such serendipity under
constraints, using visuals that depict the sheer magnitude of the
problem space and the nature in which intertwined constraints affect the
scope for locating a solution, with the hope that it could inspire a new
way of looking at the problem. We propose a method of visualizing the
sudoku fitness landscape, the vastness and complexity of even partially
brute forcing the puzzle, and a unique method of mutating puzzle states
using circular swaps. These insights could potentially serve as a link
to comprehend the problem space when designing solutions for vast,
multidimensional problems. Additionally, finding the optimal solution
for some puzzles was notably harder, compared to puzzles in the same
category of given clues. A short investigation was conducted into this
phenomenon, which revealed hints that compel us to propose that the
direction of research that should be taken, is in discovering more about
puzzle states and definitive mathematical properties of the puzzle,
rather than merely designing brute-force, stochastic or hybrid
approaches of finding solutions.
Dimensional Outlier Detection
Authors: Yang Jiawei , Rahardja Sylwan , Rahardja Susanto 
Published: March 2024

Few outlier detectors have considered all industrial standards in time
complexity, space complexity, accuracy, interpretability, and
scalability, which is very challenging in big data applications. To
address these challenges, we proposed a framework for dimensional
outlier detection (FDOD) to detect outliers that are dimensionally
separable. Based on FDOD, two detectors were discovered. Both
outperformed all 22 baseline state-of-the-art detectors including 10
detectors published in recent three years with 18 real-world datasets.
Compared to existing standards, one proposed detector had around 4%
improvement evaluated by the area under the receiver operating
characteristic (ROC AUC) and required only 42% computational time and
13% memory usage and another proposed detector was even better. The
techniques suggested are suitable for deployment in mobile settings that
require the utilization of lightweight models. This study also poses a
question to the outlier detection domain that whether technically
complex solutions are really needed for outlier detection in big data
applications since normally complex solutions require more computational
resources. Besides, we advocate for opening larger outlier detection
datasets from the industry to support the development of outlier
detection in big data. The implementation of the proposed methods can be
found on www.OutlierNet.com for
reproducibility.
Identification and Quantification of Common Adulterants in Extra Virgin Olive Oil Using Microwave Dielectric Spectroscopy Aided by Artificial Neural Network Classifiers
Authors: Alarcon Julio C. P. , Souza Mateus I. O. , Pepino Vinicius Marrara , Borges Ben-Hur Viana 
Published: March 2024

(This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version
may no longer be accessible.)
In this work, we combine microwave dielectric spectroscopy and machine
learning techniques to assess the authenticity of extra virgin olive oil
(EVOO). We investigate four common adulterants of EVOO, namely soybean
oil, corn oil, sunflower oil, and canola oil. We use a low-cost spiral
shaped microwave resonator-based sensor operating at 546.8 MHz to detect
changes in the complex permittivity of oil samples. A vector network
analyzer (VNA) is used to extract complex scattering parameters S11 and
S21 that serves as inputs for two artificial neural network models. The
first model, using only the real and imaginary parts of S21, achieves an
overall accuracy of 95.8% in predicting the applied adulterant in test
samples. In contrast, the second model, incorporating the real and
imaginary parts of both S11 and S21, attains a 100% accuracy for test
samples. Additionally, we investigate the relationship between the
measured |S21| (in dB) and the adulteration level,
expressed as the percentile value of the volume of adulterant per volume
of the sample (mL/mL). For each adulterant, a calibration equation is
developed using partial least squares regression (PLSR) to predict
adulteration levels up to 50%. The maximum root mean square error
(RMSE) is 2.1% for canola oil adulteration prediction. PLSR yields RMSE
values of 0.9% for soybean oil, 1.1% for corn oil, and 1.0% for
sunflower oil adulteration. This methodology offers both qualitative and
quantitative analyses of EVOO, capable of identifying adulterations as
low as 5% with a simple, portable, and practical system.
Experimental validation of an Actor-Critic Model Predictive Force Controller for robot-environment interaction tasks
Authors: Pozzi Alessandro , Ferrentino Enrico , Petrone Vincenzo , Puricelli Luca , Chiacchio Pasquale , Braghin Francesco , Roveda Loris 
Published: March 2024

In industrial settings, robots are typically employed to accurately
track a reference force to exert on the surrounding environment to
complete interaction tasks.
Interaction controllers are typically used to achieve this goal. Still,
they either require manual tuning, which demands a significant amount of
time, or exact modeling of the environment the robot will interact with,
thus possibly failing during the actual application.
A significant advancement in this area would be a high-performance force
controller that does not need operator calibration and is quick to be
deployed in any scenario.
With this aim, this paper proposes an Actor-Critic
Model Predictive Force Controller
(ACMPFC), which outputs the optimal setpoint to follow in order
to guarantee force tracking, computed by continuously trained neural
networks.
This strategy is an extension of a reinforcement learning-based one,
born in the context of human-robot collaboration, suitably adapted to
robot-environment interaction.
We validate the ACMPFC in a real-case scenario featuring a Franka Emika
Panda robot.
Compared with a base force controller and a learning-based approach, the
proposed controller yields a reduction of the force tracking MSE,
attaining fast convergence: with respect to the base force controller,
ACMPFC reduces the MSE by a factor of 4.35.
ESTRATÉGIAS PARA O CUIDADO DE PACIENTES COM DOENÇA CRÔNICA
Authors: Nascimento Maria Eduarda Bezerra do , Laurindo Ashley Caymmi de Albuquerque , Santos Pedro Henrique Cavalcanti Chaves , Mendes Alan Eduardo Seglin , Silva Jéssica Sampaio , Pena Bianca Marinho Sampaio , Massena Thalita Pires , Luz Rafael Augusto Liston da , Jesus Elizabete da Silva Dantas de , Silva Lídia Amélia Félix da , Ribeiro Lígia Lopes , Silva Fabio Jose Antonio da 
Published: March 2024

Embora o Sistema Integrado de Saúde (SUS) tenha conseguido muitas coisas, o rápido envelhecimento da população, a natureza mutável da epidemia e muitas mudanças socioeconómicas causaram, nos últimos anos, novos desafios para o SUS. Entre eles, a atenção aos pacientes com doenças crônicas e problemas que surgem no sistema de saúde existente, no nível macro (administrativo, jurídico, autônomo) e no nível micro, ou seja, aqueles envolvidos em: processos de trabalho. A coleta de dados, esta foi realizada por meio das seguintes: Base de Dados de Enfermagem (BDENF), Biblioteca Eletrônica Científica Online (SCIELO), PubMed e Literatura em Ciências da Saúde da América Latina e do Caribe (LILACS). Neste sentido de grupo de cuidados adequado, este artigo focará no processo de criação de uma rede local de saúde; trabalho governamental; reforço dos cuidados de saúde primários (CSP); o papel da APS no tratamento de pacientes críticos. Nesse sentido, descreveremos e comentaremos as ações recentes do Ministério da Saúde que se equiparam ao conceito de tratamento de pessoas com doenças crônicas.
Interleukin 8 and bronchial phagocytes in patients with non-allergic asthma and diverse respiratory responses to cold stimulus
Authors: Pirogov A. B. , Prikhodko A. G. , Perelman J. M. 
Published: March 2024

Introduction. The role of phagocytes, regulated by interleukin 8 (IL-8), in the formation of the bronchial response to environmental stimuli in patients with asthma is not well understood.Aim. To study the functional activity of IL-8 and the pool of phagocytic cells in the inflammatory pattern of the bronchi in patients with non-allergic asthma during inhalation exposure to cold air.Materials and methods. In 129 patients with mild to moderate asthma, the content of IL-8 and the cellular composition of sputum before and after the bronchoprovocation test with isocapnic hyperventilation with cold air (-20°C) (IHCA) were analyzed.Results. Based on the results of the IHCA by the assessment of changes in FEV1 (Δ,%), 54 patients (1st group) were verified with cold airway hyperresponsiveness (CAHR), the comparison group consisted of asthma patients (2nd group, n=75) who did not respond to the trigger (ΔFEV1 = -18.9±1.2 and -3.3±0.4%; p<0.0001, respectively). The content of neutrophils in sputum before provocation was 41.1±2.2% and 34.5±2.2% (p><0.05), macrophages – 36.2±2.7% and 43.1±2.5% (p> ˂ 0.0001, respectively). The content of neutrophils in sputum before provocation was 41.1±2.2% and 34.5±2.2% (p ˂ 0.05), macrophages – 36.2±2.7% and 43.1±2.5% (p>0.05), respectively. In response to the IHCA in the 1st group, the number of neutrophils increased to 48.2±2.0% (p ˂ 0.05), macrophages decreased to 28.7±2.1% (p ˂ 0.01), and the level of IL-8 increased from 12838±2328 to 17412±2980 pg/mL (p ˂ 0.05). In the 2nd group, the concentration of IL-8 before the IHCA was 14639±2691 pg/mL, after the test 10545±1746 pg/mL (p>0.05); the number of neutrophils after the test 40.0±2.3% (p>0.05); macrophages – 35.8±2.0% (p ˂ 0.01).Conclusion. In asthma patients with CAHR, the inflammatory pattern of the bronchi in response to the cold trigger shows enhanced IL-8 activity and more pronounced changes in the content of phagocytes, mobilized with the involvement of this cytokine.
Технологічні особливості командної роботи в управлінні проєктами
Authors: Оліярник В. В. , Романовський О. О. 
Published: March 2024

Розглянуто сучасні підходи до командної роботи в управлінні проєктами, які охоплюють модель PAEI Адізеса, 16 типів особистостей за класифікацією Ізабели Муерс і Катаріни Брігс, інструменти тімбілдингу та використання віртуальних інструментів на базі AI-технологій.
Проаналізовано, як різноманітні стилі лідерства (PAEI) можуть впливати на командну динаміку та досягнення цілей проєкту. З'ясовано, як врахування різниць у типах особистостей може сприяти побудові більш ефективних та згуртованих команд.
Також розглянуто практичне застосування інструментів тімбілдингу для підвищення комунікації та співпраці в колективі. Зазначено, що використання віртуальних інструментів на базі AI-технологій дає змогу оптимізувати робочі процеси, аналізувати дані та надавати персоналізовані рекомендації для ефективного управління проєктами. Запропоновано комплексний підхід до забезпечення успішної та продуктивної командної роботи в управлінні проєктами.