bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Convolutional Neural Networks Transfer Learning Models for Disease Classification of Food Crop
Authors: Faurina Ruvita , Rahma Silvia , Vatresia Arie , Susanto Agus 
Published: February 2025

Indonesia is an agricultural country with 29% of the workforce working in the agricultural sector, however, farmers' knowledge and practices depend on informal local wisdom based on inherited past practices. Moreover, identifying diseases in plants is difficult to do with human vision so that intelligent technology is needed.Â In this paper, an architecture of CNN models such as MobileNetV2, ResNetV50, InceptionV3 and DenseNet121 will be built to detect diseases based on leaf images of several crops obtained from the agroai dataset containing multiple crops namely bean, chili, corn, potato, tomato and tea. The model is used through transfer learning for feature extraction of the trained model with imagenet weights, with 4 fully connected layers. Each model for each crop will be compared to get the best model based on the accuracy of training, evaluation and testing. ResNet50 has the best performance for four type of plants, including bean plants with training accuracy of 99.49%, validation of 99.52%, testing of 98.96%, chili plants with training accuracy of 98.03%, evaluation of 98.75%, testing of 100%, tea plants with training accuracy of 99.62%, evaluation of 99.6%, testing of 99.74% and tomato plants with training accuracy of 99.62%, validation of 99.7%, testing of 99.37%. Moreover, MobileNetV3 has the best performance for 2 types of crops that is corn with training accuracy of 99.22%, validation of 99.69%, testing of 99.55%, and potato with training accuracy of 99.62%, evaluation of 99.60%, testing of 99.74%.
Identification of Indonesian Traditional Foods Using Machine Learning and Supported by Segmentation Methods
Authors: Rangkuti Abdul Haris , Kerta Johan Muliadi , Mogot Roderik Yohanes , Athala Varyl Hasbi 
Published: February 2025

Traditional food is essential in preserving cultural heritage and is a vital part of Indonesian cuisine. In this research, we implement a methodology to identify the traditional Indonesian food using machine learning algorithms supported by various segmentation methods. This research aims to provide an efficient and accurate approach to classifying traditional foods, which can contribute to promoting and preserving Indonesia's culinary heritage. To conduct this research, we conducted experiments on 34 types of conventional Indonesian food originating from various provinces in Indonesia. The analysis of food images involved several segmentation algorithms, including Sobel, Prewitt, Robert, Scharr, and Canny filters. After the segmentation process, we proceeded with feature extraction and classification using traditional machine learning algorithms such as the Random Forest algorithm, Decision Tree, and derivatives of the SVM algorithm. These algorithms aimed to recognize the 34 types of traditional food. After conducting several experiments, we found that Random Forest with Robert's segmentation method was the highest-performance algorithm. It produced extraordinarily accurate results on the test dataset, with an accuracy performance of 85.52%, recall of 84.63%, precision of 83.77%, and an f1 score of 82.49%. Additionally, the best-performing algorithms with execution time averaged less than 1 minute. Another experimental result showed that the Random Forest algorithm with the Canny operator achieved an accuracy of 81.51%, recall of 84.97%, precision of 86.8%, and an f1 score of 85.61% on the test dataset. Furthermore, the Random Forest algorithm with the Sobel operator achieved accuracy results of 78.4%, recall of 65.3%, precision of 62.3%, and an f1 score of 63.71%. In the SVM algorithms derivative, the Sigmoid SVM combined with the Scharr operator achieved the highest performance in its category across all classification metrics. In conclusion, this research offers valuable insights into classifying traditional Indonesian dishes using traditional machine learning algorithms. Simultaneously, this research aims to promote the appropriate and effective preservation and recognition of traditional Indonesian food.
Uwagi wstępne
Authors: Dobroński Adam 
Published: February 2025

Z zadowoleniem przyjąłem propozycję zredagowania ostrołęckiego „Zeszytu Naukowego", poświęconego tym razem dziejom regionu w latach 1918-1939. To miły obowiązek dla członka Ostrołęckiego Towarzystwa Naukowego, rodaka z Ostrowi Mazowieckiej. Nie owe sentymenty są w tym przypadku jednak najważniejsze, lecz pilna potrzeba rozwinięcia badań historycznych i popularyzacji ich wyników. Temu celowi służą również konferencje organizowane przez OTN, we współpracy z innymi instytucjami i placówkami Ostrołęckiego. Odbyliśmy takowe w 70 rocznicę odzyskania niepodległości przez II Rzeczpospolitą oraz w 50 rocznicę wybuchu II wojny światowej. I właśnie materiał z obu spotkań naukowych, przerobiony i uzupełniony, stanowi podstawę tego tomiku. Wierzę, że okaże się bardzo przydatny, między innymi w pracy z młodzieżą szkolną. Czekamy na opinie, by uwagi wykorzystać przy tworzeniu następnych historycznych pozycji OTN.

Skan artykułu udostępniony z zasobów prowadzonego przez Muzeum Historii Polski repozytorium BazHum.
Odzyskani niepodległości przez Polskę w 1918 roku w świadomości ostrołęckich maturzystów
Authors: Pajka Stanisław 
Published: February 2025

Od pamiętnego 1918 roku minęło 70 lat. W ciągu tego czasu różnie interpretowano okoliczności i przyczyny odzyskania przez Polskę niepodległości. Jak jawi się ten fakt z tej odległej perspektywy w świadomości maturzystów? Próba odpowiedzi na to właśnie pytanie stanowiła główny cel podjętego badania i jednocześnie wyznaczała jego problematykę. Choć podjęte badania miały na celu ukazanie także elementów orientacji w zakresie interesującej nas problematyki, to główną uwagę skupiono na świadomości. Terminem tym określam przekonania, idee, wizje, postawy psychiczne maturzystów 1 dotyczące tego historycznego wydarzenia. Rozpatrywano je nie tylko z punktu widzenia zgodności lub braku zgodności z wiedzą historyczną, ile z punktu widzenia źródła kształtowania tych przekonań (szkoła, rodzina) oraz ich ideowotwórczego oddziaływania na świadomość historyczną.

Skan artykułu udostępniony z zasobów prowadzonego przez Muzeum Historii Polski repozytorium BazHum.
COMPARAÇÃO ENTRE DIFERENTES TRATAMENTOS PARA O MANEJO DE AVES: UMA REVISÃO BIBLIOGRÁFICA
Authors: Lacerda Glenda Pessoa , Faria Luana Martins Ferreira de , Gonçalves Maria Luiza de Oliveira , Pereira Vanessa Oliveira Silva 
Published: February 2025

O AVE é um dos principais contribuintes para a incapacidade e morte em todo o mundo. Essa condição é classificada em dois tipos e diversos subtipos, cada um com sua abordagem e procedimentos diferentes entre si. Dentre os tratamentos utilizados para sua recuperação ou reversão é encontrado o uso de medicamentos trombolíticos, intervenções cirúrgicas e terapias farmacológicas. Essa revisão tem como objetivo a atualização de técnicas empregadas para o tratamento de AVEs, seja por via farmacológica ou cirúrgica, por meio da compilação de resultados de estudos recentes sobre o assunto.
RANCANG BANGUN SISTEM AKSES PINTU GERBANG BERBASIS IOT DENGAN PERINTAH SUARA
Authors: Syaputra Anjayani , Samsuma Delsi , Masjun Efendi Muhamad 
Published: February 2025

Penelitian ini bertujuan untuk membangun sistem akses gerbang berbasis IoT yang dapat dikendalikan melalui perintah suara menggunakan Google Voice Assistant. Metode penelitian yang digunakan adalah prototipe, dengan perangkat keras terdiri dari mikrokontroler NodeMCU ESP8266, motor stepper 28byj-48, motor servo SG90, dan keypad 4x4. Perangkat lunak yang digunakan adalah Arduino IDE dan aplikasi Blynk. Hasil penelitian menunjukkan bahwa prototipe yang dihasilkan mampu membuka dan menutup gerbang dari jarak jauh tanpa memerlukan tenaga fisik, menjadikannya lebih efisien dan praktis. Sistem ini memungkinkan pengguna men gontrol akses gerbang dengan mudah melalui aplikasi Blynk dan Google Assistant. Inovasi ini diharapkan dapat meningkatkan kenyamanan dan keamanan dalam pengelolaan akses gerbang serta berkontribusi pada pengembangan lebih lanjut dalam otomasi rumah pintar.
Kata Kunci : Internet of Things (IoT), Pintu Gerbang, ESP8266, Arduino Uno, Google Voice Assistant
SISTEM REKOMENDASI INFORMASI PEMECAHAN MASALAH DESKTOP DENGAN MODEL COLLABORATIVE FILTERING DI TELKOMSEL REGIONAL JAWA TENGAH
Authors: Alfian Karim Fathur Rahman  , Ghufron  
Published: February 2025

Desktop problem seringkali tidak dapat terelakkan dari keseharian pekerja kantoran seperti halnya di perusahaan Telkomsel. Sebagai salah satu perusahaan telekomunikasi di Indonesia, para pekerja tentu akan secara maksimal dalam melayani para kustomer nya. Jika terjadi masalah atau kendala pada laptop mereka, tentu hal ini sedikit menghambat kinerjanya. Maka dari itu, dibutuhkan sebuah sistem informasi yang dapat membantu untuk memecahkan masalah dekstop pada laptop karyawan. Selain itu, dengan penerapan metode collaborative filtering sebagai metode rekomendasi pada sistem akan sangat membantu dalam penyelesaian masalah. Sistem memuat artikel yang berisi guidance atau cara-cara menyelesaikan masalah desktop yang berbasis web. Evaluasi prediksi model untuk artikel yang akan menjadi rekomendasi target bernilai 0.6763. Nilai ini cukup bagus dikarenakan distribusi rating yang kurang merata pada setiap usernya. Untuk real case nya memang tidak semua pengguna melakukan rating ke semua artikel.

Kata Kunci : Sistem Rekomendasi, Masalah Desktop, Collaborative Filtering, Artikel, Rating
Factors related to the incidence of low birth weight
Authors: Rahmadani Maghrisa , Ningrum Novalia Widiya , Fajriannor TM M , Maolinda Winda 
Published: February 2025

Background: Low birth weight (LBW) remains a significant concern, particularly for newborn mortality in the neonatal period. It serves as a crucial public health indicator for maternal health, nutrition, access to healthcare services, and poverty. LBW is not solely influenced by pre-pregnancy maternal characteristics, but also by risk factors encountered during pregnancy.
Objective: Knowing the factors related to the incidence of low birth weight in laboring mothers.
Method: This analytic observational study employed a cross-sectional approach. A sample of 308 mothers giving birth were recruited using purposive sampling at Idaman Hospital, Banjarbaru. Categorical data is systematically presented in a frequency distribution table, and the associations between variables are statistically analyzed using the Chi-square test, utilizing SPSS software for accurate computation and interpretation of results.
Results: The results showed that 71.8% of mothers delivering babies were not at risk (20-35 years old), 72.1% were not anemic, 77.3% did not experience pregnancy-induced hypertension, 78.6% did not have premature rupture of membranes and 76% did not deliver LBW babies. Statistical analysis revealed significant relationships between age (p-value = 0.024), anemia (p-value = 0.009), pregnancy-induced hypertension (p-value = 0.014), and premature rupture of membranes (p-value = 0.031) with the incidence of LBW.
Conclusion: This study shows the association between age, anemia, pregnancy-induced hypertension, and premature rupture of membranes with the incidence of LBW.
External threats to modern Poland in the assessments of the Polish press
Authors: Babenko Oksana Vasil'evna 
Published: February 2025

The research considers articles by Polish journalists devoted to the external threats of modern Poland as the subject of research. They reflect the opinions of the authors on the most relevant aspects of this issue. Based on the materials of the most famous media outlets Dziennik Zachodni, Gazeta Wyborcza, Polityka, Rzeczpospolita and Wprost, coverage of Poland's foreign policy problems in late 2023 and early 2024 is demonstrated, when an information campaign launched in Western countries intensified, related to the dissemination of false information about Moscow's upcoming invasion of Europe. It is emphasized that the materials of Polish publications are biased, especially publications about Russia. Special attention is paid to the background of the issue – the Three Seas project and Polish-American relations. The characteristics of all used newspapers and magazines are given. As a research method, content analysis is used, which allows analyzing the content of the publications in question in the media. The novelty of the work lies in the fact that for the first time it provides a comprehensive analysis of the materials of the leading Polish media on the topic of the article. The author concludes that in the Polish press the main external threat is considered to be the threat from Russia. In order to eliminate this threat, the Poles propose measures to strengthen Ukraine in order to defeat Russia as soon as possible. Polish media pay great attention to Russia's special operation in Ukraine, which they call the war of Russia with Ukraine, and are afraid of Moscow's further advance to the West. At the same time, journalists often refer to the opinions of Western politicians, military and journalists. Some Polish journalists publish optimistic articles about the possibility of a peaceful settlement of the Russian-Ukrainian conflict and the elimination of the military threat from Russia. However, in general, the Polish press remains negative towards the Kremlin.
Determining Biochemical Parameters in Patients under Tuberculosis Treatment
Authors: A Ndiaye , A Samba , S Thiam , IY Soumah , F Diedhiou , A R Tounkara , N F Coly , F Cissé , F Diallo 
Published: February 2025

Introduction: Tuberculosis (TB) is an infectious disease caused, in most cases, by Mycobacterium tuberculosis (KOCH's bacillus). It remains a major public health problem despite various therapeutic strategies implemented, such as first-line and second-line anti-tuberculosis drugs (in the case of MDR-TB) which can have dire effects on certain organs (liver, kidney, thyroid, etc.). This study was conducted to evaluate parameters such as transaminases, creatinine, uric acid, and ionogram in tuberculosis patients who are under treatment.
Methods: This is a retrospective study conducted from August 2021 to December 2023. It involves 172 patients with tuberculosis treated according to WHO recommendations at the National Tuberculosis Control Program (NTP). Renal transaminases and biomarkers were assayed using enzymatic and colorimetric methods with the A15® multiparametric analyzer (Biosystems). The analysis of the results and the correlation tests were performed with Excel 2013 software.
Results: The majority of patients involved in this study were male (sex ratio = 3.3). During treatment, an increase in mean aspartate amino transferase (AST) was observed (p=0.0036). For alanine amino transferase (ALT), this is a slight increase from the mean that was observed (p= 0.137). Unlike creatinine and uric acid, we found non-significant associations with p=0.897 and p=0.890, respectively.
Conclusion: Our study showed that the risk of hepatotoxicity and dysthyroidism should be monitored in patients on anti-tuberculosis treatment. However, it would be relevant to consider the nature of the drugs used.
Lei Geral de Proteção de Dados: Compliance nos Escritórios Contábeis do Recôncavo Baiano
Authors: Ferreira Alison Silva , Da Cruz Oliveira Nverson , Dos Santos Silva Luiz Ivan 
Published: February 2025

O objetivo deste estudo foi verificar se os fatores de perfil empresarial contribuem para que os escritórios de contabilidade do Recôncavo Baiano se adequem a Lei Geral de Proteção de Dados. Neste sentido, através de questionário como instrumento de coleta de dados, obteve-se informações de 55 escritórios de contabilidade da região do recôncavo baiano a respeito do grau de adequação dos mesmos à LGPG. A partir dos dados coletados, infere-se um nível de adequação geral igual a 3,33 de uma escala de 1 a 5 para a amostra analisada. Mediante aplicação de regressão múltipla, os resultados também mostram que, as variáveis Tempo de Funcionamento; Porte; Quantidade de Funcionários e; Concorrência, são explicativas do grau de adequação dos escritórios de contabilidade do recôncavo baiano a um nível de 56,08%, conforme apresentado pelo coeficiente R² da equação. Contudo, as variáveis de Porte e Concorrência apresentam relação inversamente proporcional ao grau de adequação à LGPD, destacando a necessidade de maior atenção a fim de melhorar a conformidade com a LGPD. Dessa forma, atendendo aos regulamentos, espera-se que os escritórios de contabilidade implementem sistemas de proteção de modo para evitar a exposição e compartilhamento indevido de informações, a partir da adoção de mecanismos de governança corporativa de dados.
Guiding Stem Cell Tenogenesis by Modulation of Growth Factor Signaling and Cell‐Scale Biophysical Cues in Bioengineered Constructs
Authors: Teixeira Simão P. B. , Pardo Alberto , Bakht Syeda M. , Gomez‐Florit Manuel , Reis Rui L. , Gomes Manuela E. , Domingues Rui M. A. 
Published: February 2024

AbstractTendon injuries and tendinopathies are increasingly prevalent health problems currently lacking effective treatments. Tissue engineering offers promising strategies to boost the low innate regenerative ability of tendons. Within this context, the simultaneous leveraging of both physical and biochemical cues by engineered scaffolding systems can be explored to promote a stronger tenogenic response from stem cells. Here, molecularly imprinted polymeric nanoparticles (MINPs) against transforming growth factor (TGF)‐β3 are combined with bioinspired anisotropic hydrogels to produce tenogenesis‐inductive constructs. MINPs are first solid phase‐imprinted against a TGF‐β3 epitope, achieving an affinity comparable to monoclonal antibodies. MINPs and magnetically‐responsive microfibers are then encapsulated together with adipose‐derived stem cells within gelatin‐based hydrogels, applying a magnetostatic field during gelation to align the microfibers. The created anisotropic microstructure guides cell growth and elongation unidirectionally, while MINPs act as artificial receptors for TGF‐β3, potentiating its paracrine action in the cellular microenvironment. The combination of both stimuli proves effective at increasing TGF‐β signaling, which promotes the expression of tendon‐associated genes and corresponding protein synthesis, suggesting that microstructural cues and biomolecule sequestration act in tandem to direct cell fate commitment. Overall, this system recapitulates several elements of tendon development, constituting a promising strategy for the regeneration of this tissue.
Lipid Microfluidic Biomimetic Models for Drug Screening: A Comprehensive Review
Authors: Fernandes Eduarda , Cardoso Vanessa F. , Lanceros‐Méndez Senentxu , Lúcio Marlene 
Published: February 2024

AbstractDeveloping new drugs is a complex, time‐consuming, and expensive process, essential to identify potential pharmacokinetic issues in the early stages to avoid investment in nonpromising candidates. Nearly half of all drug targets and key drug‐metabolizing enzymes are found in intracellular environments, compartmentalized by semipermeable barriers, the cell membranes. Inspired by their lipidic bilayer structure, lipid‐based biomimetic platforms are being developed to understand the biochemical and biophysical processes at the cellular membrane level. Considering the pharmaceutical industry's demands for efficient in vitro high throughput screening tools, microfluidic technology emerges as a promising solution to address challenges in lipid biomimetic models for screening applications. This involves the transformation of commonly used lipid‐based biomimetic models, like supported lipid bilayers and lipid vesicles, to miniaturized approachs and their evolution into a new generation of bilayer models. These include pore‐suspended and free‐standing lipid bilayers, black lipid membranes, and droplet interface bilayers. This review provides an overview of both generations of lipid biomimetic models used in drug‐membrane screening applications. Moreover, it delves into the intricacies of their production through microfluidic approaches and examines their screening applications in drug‐membrane interaction. The review concludes with a critical analysis of potential future directions in this rapidly evolving field.
Synthesis and Chiroptical Properties of Radially Extended Carbazole with Chiral [2.2]Paracyclophane Core
Authors: Hasegawa Masashi , Xiao Wanli , Ishida Yuki , Asahi Kazuyuki , Nishikawa Hiroyuki , Ohno Reo , Hayauchi Daisuke , Hasegawa Miki , Mazaki Yasuhiro 
Published: February 2024

Abstract[2.2]Paracyclophanes ([2.2]PCs) with substituents at specific positions possesses planar chirality and stands as a promising building unit for the development of chiroptical materials associated with polarized light. However, one of the easily accessible starting materials, bromo‐substituted [2.2]PC, shows low reactivity, and effective methods for π‐extension of planar chiral [2.2]PC are limited. Herein, an effective π‐extension method has established for chiral [2.2]PC with four substitutions from 4,7,12,15‐tetrabromo[2.2]PC. This has led to tetrakis(trimethylsilylphenyl)‐[2.2]PC that serves as a versatile building resource for radial‐type chiral π‐conjugated compounds with a [2.2]PC core. In this study, synthesizing compounds are further succeeded with the introduction of carbazole (Cbz4‐[2.2]PC and tBuCbz4‐[2.2]PC) and investigated their chiroptical properties and chiral induction ability in achiral π‐conjugated polymers. A thin film of [Poly[9,9‐dioctylfluorenyl‐2,7‐diyl)‐alt‐(benzo[2,1,3]thiadiazol‐4,7‐diyl)]] (F8BT) with 3wt% Cbz4‐[2.2]PC prepared by spin‐coating exhibits circularly polarized luminescence (CPL) properties with a high dissymmetry factor (|glum| = 0.01), which is much higher than that of Cbz4‐[2.2]PC in CH2Cl2 solution. By contrast, the doped film of F8BT with 3wt% tBuCbz4‐[2.2]PC exhibited only weak CPL properties. In addition, these chiral compounds show facile redox properties owing to the presence of carbazole units. Furthermore, Cbz4‐[2.2]PC undergoes electropolymerization to produce an insoluble thin film on the electrode.
Revealing the Role of Binary Distortion in PMS Activation over Spinel toward Efficient New Pollutants Removal
Authors: Wang Pengfei , Zhao Zhiyong , Zhang Lijun , Zhan Sihui , Li Yi 
Published: February 2024

AbstractImproving peroxymonosulfate (PMS) activation efficiency to enhance simultaneous generation of radicals and non‐radicals is essential for removing new pollutants (NPs) in complex waters. However, achieving this with standard lattice‐structured heterogeneous catalysts remains challenging due to inefficient electron transfer. Here, CuCo2O4 properties are successfully tuned by controlling lattice distortion, enabling simultaneous PMS oxidation and reduction. Unlike the slow rate of electron transfer in heterogeneous metal catalysts with standard lattice structures, the highly active binary lattice distortion in CuCo2O4 alters the structure and electron distribution, exposes more Cu and Co sites, lowers the PMS adsorption barriers, and realizes the synergistic production of SO4•−/•OH), and 1O2. The k‐value for ciprofloxacin is as high as 17.83 min−1 M−1, 29.42 times higher than that with non‐binary lattice distortion. Additionally, the developed intermittent reactor consistently maintains a removal rate above 95% over five cycles in actual wastewater treatment scenarios. This work provides a new avenue for achieving the removal of new pollutants in complex water bodies.