bluuebunny/crossref_metadata_2025 huggingface dataset:
Compreender A Violência Escolar: Uma Revisão Rápida sobre as Características, Fatores Associados e Intervenções
Authors: Cunha Josafá Moreira da , Amaral Hellen Tsuruda , Ricci Bianca Nicz , Roza Sarah Aline , Yano Vitor Atsushi Nozaki
Published: October 2023

As instituições de ensino devem ser ambientes acolhedores e seguros para promover o aprendizado e o desenvolvimento dos estudantes. No entanto, a segurança nas escolas tem sido comprometida por uma série de incidentes de violência escolar, que abrange desde vitimização entre pares e bullying até ataques armados (Polanin et al., 2020, Silva et al., 2020). Este estudo realiza uma revisão rápida de revisões sistemáticas sobre violência escolar conduzidas no Brasil e no exterior, com o objetivo de compreender as características da violência escolar, seus fatores associados, ataques armados em escolas e possíveis medidas de prevenção e intervenção diante da violência escolar. Foi adotada uma abordagem de revisão rápida, seguindo o protocolo PRISMA (Page et al., 2020), com ênfase em revisões sistemáticas sobre violência escolar, as quais foram rastreadas por meio da busca de títulos em onze bases de dados. Foram recuperadas 1738 publicações e, após a exclusão das duplicatas, triagem das referências e avaliação da qualidade dos textos completos localizados, 127 estudos foram mantidos na análise. As categorias resultantes da análise foram: características da violência escolar (15% dos estudos), fatores associados à violência escolar (45,7%), intervenções diante da violência escolar (33,8%) e ataques armados às escolas (5,5%). Os resultados destacaram a complexidade da violência escolar e a heterogeneidade das taxas de prevalência de violência escolar, além de destacar a necessidade de mais pesquisas sobre a violência escolar no contexto brasileiro para a o desenvolvimento e avaliação de intervenções inclusivas e culturalmente adequadas.
Pathogenicity of some entomopathogenic fungi on wheat weevil Sitophilus granarius (L., 1758) (Coleoptera: Curculionidae)
Authors: ALTINOK Mahmut Alper , KESDEK Memiş , KORDALI Şaban , USANMAZ BOZHÜYÜK Ayşe , ALTINOK Hacer Handan
Published: October 2023

In the present study, the toxicities of seven entomopathogenic fungal isolates, Beauveria bassiana (ARSEF-4984), Isaria farinosa (ARSEF-3580), Isaria fumosorosea (ARSEF-4501), Lecanicillium muscarium (ARSEF-5128), L. muscarium (ARSEF-972), Lecanicillium lecanii (TR38/11) and L. muscarium (Ve6), were tested against the adults of granary weevil, Sitophilus granarius (L., 1758) (Coleoptera: Curculionidae), under laboratory conditions (25±1°C, 75±5% RH and 14h light:10h dark). Studies were conducted in Atatürk University (Erzurum, Türkiye), in 2018. Fungal isolates were sprayed to adults at two different conidial concentrations (1×105 and 1×107 ml-1). Mortality percentages were observed on the 2nd, 4th, 6th, 8th, and 10th days of treatment. A commercial isolate of L. muscarium were used as positive control and sterile water+0.25% Tween 20 used as negative control. The results demonstrated that the mortality rates of S. granarius adults treated with entomopathogenic fungi ranged from 1.01% to 98.9% across 10-day period. Higher concentration and longer exposure periods resulted in increasing virulence on the adult individuals. Among the strains tested, at 1×107 ml-1 concentration, I. fumosorosea, L. muscarium (ARFES-5128) and L. lecanii isolates displayed 97.85%, 94.62% and 93.58% cumulative mortalities respectively, on S. granarius adults by the 10th day of the experiment. These three isolates are regarded as highly promising biological control agents.
The nematode assemblages of a lake ecosystem (Lake Korugöl Natural Park, Düzce, West Black Sea Cost of Türkiye): ecology and biodiversity patterns with first reports of 10 genera to the Türkiye nematofauna
Authors: ÇAKMAK Taylan
Published: October 2023

This research was conducted to reveal the soil nematode fauna of Korugöl, Düzce and to contribute to the nematode diversity of the Western Black Sea Region of Türkiye. Field studies within the scope of the study were implemented in 2021. As a result of the study, 29 families, 45 genera and 46 nematode taxa were identified. 10 nematode taxon, namely Aporcelinus, Baladorylaimus, Dorylaimoides, Euteratocephalus, Labronemella, Laimydorus, Lindseyus, Metateratocephalus, Paractinolaimus and Tripylella are the first report for Türkiye's nematofauna. Classification of nematodes according to their feeding types were: 27.27% bacterivorous nematodes, 2.10% fungivoresnematodes, 1.51% herbivorous nematodes, 16.35% predator nematodes and 52.77% omnivorous nematodes.
On the Properties of r-Circulant Matrices Involving Generalized Fermat Numbers
Authors: KULOǦLU Bahar , ESER Engin , ÖZKAN Engin
Published: October 2023

-circulant matrices have applied in numerical computation, signal processing, coding theory, etc. In this study, our main goal is to investigate the r-circulant matrices of generalized Fermat numbers which are shown by We obtain the eigenvalues, determinants, sum identity of matrices. Also we find upper and lower bounds for the spectral norms of generalized Fermat r-circulant matrices. Beside these, we present 〖GR〗_(a,b,r)^* matrix in the form of the Hadamard product of two matrices as 〖GR〗_(a,b,r)^*=A.B. In addition, we get the right and skew-right circulant matrices for . Finally, we examine their different norms (Spectral and Euclidean) and limits for matrix norms.
SYNTHESIS, CHARACTERIZATION OF CeO2@Ag HOLLOW SPHERES AND EVALUATION OF THEIR CATALYST ACTIVITY FOR THE REDUCTION OF 4-NP
Authors: Cui Shu , Zhao Haixin , Liu Chengyou , Yu Hai , Li Nan , Li Xiaotian
Published: October 2023

A CeO2@Ag hollow spherical composite catalyst was synthesized with the template method. Firstly, a SiO2@CeO2 core-shell structure was synthesized using SiO2 spheres as the template, and then the SiO2 core was removed by etching to obtain hollow CeO2 spheres. The CeO2 hollow microspheres have a large specific surface area, which can effectively suppress the aggregation of Ag nanoparticles, leading to CeO2@Ag with a regular morphology and well dispersed Ag nanoparticles. There is a strong synergistic effect between CeO2 and Ag, which is beneficial to improving the catalytic performance. As a result, the CeO2@Ag hollow spherical composite catalyst can reduce 4-nitrophenol efficiently.
Early machine learning prediction of hospitalized patients at low risk of respiratory deterioration or mortality in community-acquired pneumonia: Derivation and validation of a multivariable model
Authors: Odeyemi Yewande E. , Lal Amos , Barreto Erin F. , LeMahieu Allison M. , Yadav Hemang , Gajic Ognjen , Schulte Phillip
Published: October 2023

Current prognostic tools for pneumonia predominantly focus on mortality, often neglecting other crucial outcomes such as the need for advanced respiratory support. The objective of this study was to develop and validate a tool that predicts the early risk of non-occurrence of respiratory deterioration or mortality. We conducted a single-center, retrospective cohort study involving hospitalized adult patients with community-acquired pneumonia (CAP) and acute hypoxic respiratory failure from January 2009 to December 2019 (n = 4379). We employed the gradient boosting machine (GBM) learning to create a model that estimates the likelihood of patients requiring advanced respiratory support (high flow nasal cannula [HFNC], non-invasive mechanical ventilation [NIMV], and invasive mechanical ventilation [IMV]) or facing mortality during hospitalization. This model utilized readily available data including demographic, physiologic, and laboratory data, sourced from electronic health records and obtained within the first six hours of admission. Out of the cohort, 890 patients (25.2%) either required advanced respiratory support or died during their hospital stay. Our predictive model displayed superior discrimination and higher sensitivity (cross-validation C-statistic = 0.71; specificity = 0.56; sensitivity = 0.72) compared to the pneumonia severity index (PSI) (C-statistic = 0.65; specificity = 0.91; sensitivity = 0.24; P value < 0.001), while maintaining a negative predictive value (NPV) of approximately 0.85. These data demonstrate that our machine learning model predicted the non-occurrence of respiratory deterioration or mortality among hospitalized CAP patients more accurately than the PSI. The enhanced sensitivity of this model holds potential for reliably excluding low-risk patients from pneumonia clinical trials.
Short-term forecasting of electricity prices using generative neural networks
Authors: Kaukin Andrej , Pavlov Pavel , Kosarev Vladimir
Published: October 2023

This article studies the predictive abilities of the generative-adversarial neural network approach in relation to time series using the example of price forecasting for the nodes of the Russian free electricity market for the day ahead. As a result of a series of experiments, we came to the conclusion that a generative adversarial network, consisting of two models (generator and discriminator), allows one to achieve a minimum of the error function with a greater generalizing ability than, all other things being equal, is achieved as a result of optimizing the static analogue of the generative model – recurrent neural network. Our own empirical results show that with a near-zero mean square error on the training set, which is demonstrated simultaneously by the recurrent and generative models, the error of the latter on the test set is lower. The adversarial approach also outperformed alternative reference models in out-of-sample forecasting accuracy: a convolutional neural network adapted for time series forecasting and an autoregressive linear model. Application of the proposed approach has shown that a generative-adversarial model with a given universal architecture and a limited number of explanatory factors, subject to additional training on data specific to the target node of the power system, can be used to predict prices in market nodes for the day ahead without significant deviations.
Poeti della Marea: Canti bardici gallesi dal VI al X secolo
Authors: Serpillo Giuseppe
Published: October 2023

Review a: Francesco Benozzo (a cura di). Poeti della Marea: Canti bardici gallesi dal VI al X secolo. 2022. Udine: Forum Editrice, 2022, 227 pp., € 30.00
Pemodelan Hasil Panen Padi terhadap Ketergantungan Cuaca Ekstrem di Indonesia Menggunakan Copula Gaussian
Authors: Yuningsih Sri , Rohaeti Embay , Faridhan Yasmin Eka
Published: October 2023

Good paddy crop yield needs enough water, no more and no less. Extreme weather often causes paddy farmer financial loss; it may decrease paddy crop yield, or even crop failure. Extreme weather occurs when there is low intensity (0-100 mm) or high intensity rainfall (300-500 mm). A model is developed using Gaussian copula to estimate paddy crop yield when extreme weather occurred. Parameter estimation for the copula model is done using Kendall-Tau approach.  Secondary data from Statistics Indonesia used in this study is paddy crop yield and rainfall data from year 2014 to 2018. The generated Gaussian copula model isC_0.01884 (0.5,0.63)=Φ_0.01884 (Φ^(-1) (0.5),Φ^(-1) (0.63)). The model shows a weak dependency between paddy crop yield and rainfall in Indonesia.Keywords: Extreme Weather, Gaussian Copula, Paddy Crop. AbstrakHasil panen padi yang baik memerlukan air yang cukup, tidak kekurangan dan tidak kelebihan air. Cuaca ekstrem merupakan salah satu penyebab kerugian para petani padi, karena ketika cuaca ekstrem terjadi dapat berakibat menurunnya hasil panen padi, bahkan gagal panen. Cuaca ekstrem terjadi jika curah hujan berintensitas rendah (0-100 mm) dan intensitas tinggi (300-500 mm). Pemodelan dilakukan untuk menduga hasil panen padi saat terjadi cuaca ekstrem menggunakan Copula Gaussian. Pendugaan parameter untuk model Copula dilakukan dengan pendekatan Kendall-Tau. Data penelitian yang digunakan merupakan data sekunder dari Badan Pusat Statistika yaitu data hasil panen padi (dalam satuan ton) pada tahun 2014-2018 dan data curah hujan (dalam satuan mm) pada tahun 2014-2018.  Model Copula Gaussian yang dihasilkan adalah C_0.01884 (0.5,0.63)=Φ_0.01884 (Φ^(-1) (0.5),Φ^(-1) (0.63)). Model tersebut menunjukkan ketergantungan yang lemah antara hasil panen padi dengan curah hujan di Indonesia.
Penyelesaian Masalah Penugasan dengan Metode Rafi Aziz Uddin Bhuiyan (RAUB), Hungarian Method, dan Heuristic Method
Authors: Antikah Antikah , Wulan Elis Ratna , Muhtarulloh Fahrudin
Published: October 2023

This study discusses the implementation of the Rafi Aziz Uddin Bhuiyan (RAUB) Method, Hungarian Method, and Heuristic Method in solving assignment problems for both minimization case and maximization case in balanced and unbalanced conditions. To determine the better method in solving the assignment problem, we then compared the three methods. Based on the analysis conducted, the Hungarian Method produces a better optimal solution with fewer number of iterations than the RAUB Method and the Heuristic Method. So, it can be concluded that the assignment problem can be solved better by using the Hungarian Method than the RAUB Method and the Heuristic Method.Keywords: Assignment Problem, Heuristic Method, Hungarian Method, Rafi Aziz Uddin Bhuiyan (RAUB) Method.AbstrakPenelitian ini membahas tentang penerapan Rafi Aziz Uddin Bhuiyan (RAUB) Method, Hungarian Method, dan Heuristic Method dalam menyelesaikan masalah penugasan untuk kasus minimasi dan kasus maksimasi baik dalam keadaan seimbang maupun tidak seimbang. Selanjutnya, untuk menentukan metode yang lebih baik dalam menyelesaikan masalah penugasan, ketiga metode tersebut dibandingkan. Berdasarkan analisis yang dilakukan, Hungarian Method menghasilkan solusi optimal yang lebih baik dengan jumlah iterasi yang lebih sedikit dibandingkan dengan RAUB Method dan Heuristic Method. Sehingga dapat disimpulkan bahwa masalah penugasan dapat diselesaikan dengan lebih baik menggunakan Hungarian Method daripada RAUB Method dan Heuristic Method.
Modelisasi Tassel dengan Penggabungan Hasil Deformasi Tabung, Bola, Prisma Segi Sepuluh, dan Kurva Bezier
Authors: Faisahro Wakik , Ubaidillah Firdaus , Juliyanto Bagus
Published: October 2023

A tassel is a curtain strap that functions as a curtain hook when the curtain is opened. The Tassel components generally consist of the head, main body, and bottom, usually equipped with tassel accents. This research aims to construct the geometric shape of the tassel mathematically. In this study, the tassel modeling is divided into two stages. Firstly, modeling the components of a tassel by combining some of the deformation results of geometric objects and Bezier curves. The geometrical objects used are tubes, toruses, hexagonal prisms, and spheres. The Bezier curves used are of degrees two, three, and four. Secondly, combining the modeling results of each deformed tassel component. The tassel component is combined by dividing the z-axis into three parts, namely the head, body, and bottom. The tassel model can be visualized using Maple 18 software.Keywords: Bezier, Curve, Deformation, Prism, Tassel.AbstrakTassel adalah tali gorden yang berfungsi sebagai pengait gorden saat gorden dibuka. Komponen tassel secara umum terdiri dari bagian kepala, bagian badan, dan bagian bawah yang biasanya dilengkapi dengan aksen rumbai- rumbai. Tujuan penelitian ini adalah membangun bentuk geometri dari tassel secara matematis. Pemodelan tassel ini dibagi menjadi dua tahap. Tahap pertama adalah memodelkan komponen tassel dengan menggabungkan beberapa hasil deformasi benda geometri dan kurva Bezier. Benda geometri yang digunakan adalah tabung, torus, prisma segi sepuluh, dan bola. Kurva Bezier yang digunakan adalah kurva Bezier derajat dua, tiga, dan empat. Tahap kedua adalah menggabungkan hasil pemodelan dari masing-masing komponen deformasi tassel. Komponen tassel digabungkan dengan membagi sumbu z menjadi tiga bagian, yaitu bagian kepala, badan, dan bawah. Model tassel yang diperoleh divisualisasikan menggunakan software Maple 18.
A Note on Relative Normal Subgroups
Authors: Mahatma Yudi , Hadi Ibnu , Sekti Binastya Anggara
Published: October 2023

Let G be finite group and α∈Aut(G). In 2016, Ganjali and Erfanian introduced the notion of a normal subgroup of G which is relative to α, called the α-normal subgroup. In detail, N is an α-normal subgroup of G if for every g∈G and n∈N we have g^(-1) nα(g)∈N. In this research, we show that if N is an α-normal subgroup of G and τ∈Aut(G) then N is τ-normal in G if and only if α(g)τ(g^(-1) )∈N for every g∈G.Keywords: Group, Normal subgroup, α-normal subgroup.AbstrakMisalkan G grup hingga dan α∈Aut(G). Tahun 2016, Ganjali dan Erfanian memperkenalkan ide tentang suatu subgrup normal dari G relatif terhadap α, dinamakan subgrup normal-α. Secara rinci, N adalah suatu subgrup normal-α dari G apabila untuk setiap g∈G dan n∈N berlaku g^(-1) nα(g)∈N. Dalam penelitian ini diperlihatkan bahwa jika N adalah suatu subgrup normal-α dari G dan τ∈Aut(G) maka N normal-τ di G jika dan hanya jika α(g)τ(g^(-1) )∈N untuk setiap g∈G.
Peramalan Jumlah Kunjungan Wisatawan Menggunakan Model Generalized Space Time Autoregressive-Seemingly Unrelated Regression-Neural Network
Authors: Putri Raihan Ayita , Puspita Entit , Agustina Fitriani
Published: October 2023

The Generalized Space Time Autoregressive (GSTAR) model is a stationary space time model. One of the data that has a space time phenomenon is the number of tourist visits. The number of tourist visits is sometimes difficult to predict because it has patterns and characteristics that are difficult to identify. The model that considers non- linear elements is a neural network. The parameter estimation of the GSTAR model used is the Seemingly Unrelated Regression (SUR) model. This method is able to overcome the correlation between residuals every location. Data on the number of tourist visits in Magelang Regency is one of the time series data that has links between locations, has correlated residuals, and also nonlinear data patterns so that it can be modeled with the GSTAR-SUR-NN model. In this research, steps were taken to find out the best model and the results of forecasting the number of tourist visits at four locations in Magelang Regency, namely Telaga Bleder, Borobudur Temple, Bukit Rhema, and Mendut Temple with the GSTAR-SUR-NN model. The model chosen to predict the number of tourist visits at four tourist sites in Magelang Regency for the next 12 months is GSTAR(1,1)-SUR-NN(4,7,4) because this model produces better forecast results than the GSTAR( 1,1)-SUR.Keywords: GSTAR-SUR, Neural Network, Tourist Visit.AbstrakModel Generalized Space Time Autoregressive (GSTAR) adalah suatu model space time yang stasioner. Salah satu data yang memiliki fenomena space time adalah jumlah kunjungan wisatawan. Jumlah kunjungan wisatawan terkadang sulit untuk diprediksi karena memiliki pola dan karakteristik yang sulit untuk diidentifikasi. Model yang mempertimbangkan unsur non linier adalah Neural Network (NN). Pendugaan parameter model GSTAR yang digunakan adalah model Seemingly Unrelated Regression (SUR). Metode ini mampu mengatasi adanya korelasi antar residual setiap lokasi. Data jumlah kunjungan wisatawan di Kabupaten Magelang merupakan salah satu data runtun waktu yang memiliki keterkaitan antar lokasi, memiliki residual yang berkorelasi, dan juga pola data yang nonlinier sehingga dapat dimodelkan dengan model GSTAR-SUR-NN. Pada penelitian ini dilakukan beberapa tahapan untuk mengetahui model terbaik dan hasil peramalan jumlah kunjungan wisatawan pada empat lokasi di Kabupaten Magelang, yaitu Telaga Bleder, Candi Borobudur, Bukit Rhema, dan Candi Mendut dengan model GSTAR-SUR-NN. Model yang dipilih untuk meramalkan jumlah kunjungan wisatawan di empat tempat lokasi wisata di Kabupaten Magelang untuk 12 bulan mendatang adalah GSTAR(1,1)-SUR-NN(4,7,4) karena model ini menghasilkan hasil ramalan lebih baik daripada model GSTAR(1,1)-SUR.
Optimisasi Pendistribusian Dana Bantuan Operasional Sekolah (BOS) dengan Pendekatan Fuzzy Goal Programming
Authors: Kusmiati Mia , Novianingsih Khusnul , Agustina Fitriani
Published: October 2023

Distributing School Operational Assistance (BOS) fund is a problem encountered by the Government to distribute the BOS fund to each school. The amount of BOS fund is calculated based on the number of students with the distribution of BOS fund each quarter varying. In practice, the distribution of BOS fund did not follow the government regulations because the amount of funds received by schools often did not match with the number of students. In this paper, we optimize the distribution of BOS fund to obtain the distribution of BOS funds that accordance with BOS technical guidelines. The problem of distributing BOS funds is solved using the Fuzzy Goal Programming (FGP) approach. The FGP model gives the value of goals for each objective and finds a solution that satisfies all constraints. The computational results show that the FGP model can solve the multi-objective problem in the distribution of BOS funds and the model gives good solutions.Keywords: BOS Fund Distribution, Fuzzy-Crisp Method, Fuzzy Goal Programming, Goal Programming, Multi-Objective, Optimal Solution. AbstrakPendistribusian dana Bantuan Operasional Sekolah (BOS) adalah suatu permasalahan yang dihadapi Pemerintah dalam pembagian dana BOS untuk tiap sekolah. Besaran dana BOS untuk setiap sekolah ditentukan berdasarkan jumlah siswa dengan pendistribusian yang nilainya berubah setiap triwulan. Namun pada prakteknya, pendistribusian dana BOS itu tidak megikuti ketentuan pemerintah karena jumlah dana yang diterima sekolah sering kali tidak sesuai dengan jumlah siswanya. Tujuan optimalisasi pendistribusian dana BOS yaitu untuk memperoleh hasil pendistribusian dana BOS yang sesuai dengan petunjuk teknis BOS. Pada penelitian ini, masalah pendistribusian dana BOS akan diselesaikan menggunakan pendekatan model Fuzzy Goal Programming (FGP). Model FGP membentuk nilai goals untuk setiap tujuan dan mencari sebuah solusi yang memberi pencapaian pada semua kendala. Hasil implementasi model FGP untuk masalah pendistribusian dana BOS pada tiap SMKN di Kota Bandung menunjukkan bahwa model FGP yang dibangun mampu menyelesaikan masalah multi objektif pada pendistribusian dana BOS dan mampu memberikan solusi yang baik.
Karakteristik estimator Analisis Komponen Utama untuk mengestimasi Model Variabel Laten menggunakan metode High-Dimensional AIC
Authors: Lukman Lukman
Published: October 2023

Makalah ini bertujuan untuk mengetahui sifat estimator Analisis Komponen Utama (AKU) untuk mengestimasi model variabel laten. Metode yang digunakan adalah metode High-Dimensional AIC (HAIC) dengan simulasi data berdistribusi Bernoulli. Tahapannya adalah: (1) menentukan matriks AKU; (2) membuat model estimator AKU untuk mengestimasi variabel laten dengan menggunakan HAIC; (3) mensimulasikan data distribusi Bernoulli dengan pengulangan 1.000.748 kali. Hasil simulasi menunjukkan model estimator AKU bekerja dengan baik.
Penyelesaian Masalah Perencanaan Produksi Dengan Pendekatan Fuzzy Goal Programming
Authors: Ashar Novelia Tria , Novianingsih Khusnul , Hidayat Asep Syarif
Published: October 2023

Masalah perencanaan produksi yang dialami oleh sebuah perusahaan biasanya disebabkan oleh sistem perencanaan produksi yang kurang baik. Sistem perencanaan produksi yang baik akan memberikan kepuasan terhadap perusahaan dengan target yang diinginkan dan juga dengan bahan baku yang tersedia. Pada penelitian ini, masalah perencanaan produksi akan diselesaikan dengan model fuzzy goal programming. Model  fuzzy goal programming mencari solusi optimal berdasarkan target yang diinginkan perusahaan. Hasil implementasi model fuzzy goal programming pada masalah perencanaan produksi kaos kaki di sebuah perusahaan di Kabupaten Majalengka menunjukkan bahwa dengan menggunakan model fuzzy goal programming hasil yang diperoleh lebih optimal dibandingkan dengan menggunakan model goal programming.
Pemodelan Matematika untuk Aliran Darah dengan Tekanan yang Berubah Secara Periodik
Authors: Ramadhan M. Rizqi , Yulianti Kartika , Kustiawan Cece
Published: October 2023

Darah mengalir setiap detik di dalam seluruh tubuh. Aliran darah yang membawa zat-zat yang diperlukan untuk aktivitas organ-organ tubuh, seperti oksigen dan zat-zat nutrisi lainnya. Aliran darah yang terjadi akibat dari perubahan tekanan darah secara periodik menyebabkan kecepatan aliran darah berubah-ubah di setiap waktu. Tujuan penelitian ini membuat model matematika untuk kecepatan aliran darah dengan tekanan yang berubah. Model tersebut dibangun dari persamaan Navier Stokes untuk kecepatan aliran fluida satu arah dengan koordinat polar silinder dan persamaan kontinuitas. Pencarian solusi analitik dari model dilakukan dengan metode pemisahan variable. Berdasarkan model tersebut diperoleh profil kecepatan alirah darah dan faktor-faktor yang mempengaruhinya yaitu jari-jari pembuluh darah, amplitudo gradien tekanan darah, frekuensi gradien tekanan darah dan viskositas kinematik darah.
Penentuan Daerah Rawan Polusi Udara dengan Menggunakan Logika Fuzzy Metode Mamdani
Authors: Atalla Muhammad Naufal , Lukman Lukman , Agustina Fitriani
Published: October 2023

The purpose of this research is to determine whether an area in the Bandung city is categorized as an area prone to air pollution or not, which is illustrated in the form of a thematic map. In this study, Fuzzy Inference System (FIS) is used with the Mamdani method. The parameters determining the vulnerability used among others are PM10 concentration, SO2 concentration, and rainfall. In this study, 89 data were used. The results showed that the city of Bandung is categorized as an area not prone to air pollution with an average vulnerability value of 17,235. However, in March there were areas categorized as air pollution-prone namely Regol, Lengkong, Kidul, Buahbatu, Rancasari, and Gedebage Districts with a vulnerability value of 47.5. Based on the results of this study, it is hoped that people will be aware of the air conditions in the environment where they live and realize the importance of maintaining air quality.Keywords: Air Pollution, Fuzzy Logic,  Geographic Information System, Mamdani Method, Thematic Map. AbstrakPenelitian ini bertujuan agar masyarakat menyadari kondisi udara di lingkungan tempat mereka hidup dan menyadari pentingnya menjaga kualitas udara. Fuzzy Inference System (FIS) merupakan sistem yang digunakan dalam pengambilan keputusan dari sejumlah data yang memiliki ketidakpastian fuzzy antara lain dalam Sistem Informasi Geografis (SIG). Dalam penelitian ini FIS digunakan dalam pengambilan keputusan untuk menentukan suatu daerah rawan polusi udara di Kota Bandung yang digambarkan dalam bentuk peta tematik. Parameter-parameter penentu kerawanan yang digunakan antara lain konsentrasi PM10, konsentrasi SO2, dan curah hujan. Metode yang digunakan dalam sistem ini adalah metode Mamdani. Data yang digunakan pada penelitian ini sebanyak 89 data. Secara umum pada peta, dapat dilihat bahwa Kota Bandung dikategorikan sebagai daerah tidak rawan polusi udara dengan nilai kerawanan rata-rata sebesar 17,235. Namun pada Bulan Maret terdapat daerah yang dikategorikan rawan polusi udara yaitu Kecamatan Regol, Lengkong, Bandung Kidul, Buahbatu, Rancasari, dan Gedebage dengan nilai kerawanan sebesar 47,5. Berdasarkan hasil penelitian ini, diharapkan masyarakat menyadari kondisi udara di lingkungan tempat mereka tinggal dan menyadari pentingnya menjaga kualitas udara.
Ottoman-papal Relations and the General European Context Through the Prism of the Prince Jem Factor
Authors: Samchenko Felix
Published: October 2023

The traditional view of historiography that the relations between the Ottoman Empire and the classical West were consistently hostile is partly justified, but still in a large part of aspects it does not correspond to reality. This can best be traced on the example of its relationship with the Holy See, which ideologically was its main opponent, as well as the center responsible for the organization of the crusade against the Ottomans and the organization of the entire anti-Ottoman struggle. Nevertheless, the Roman Popes did not hesitate to enter into political agreements with the Ottoman Sultan when the question arose of keeping his brother Jem in honorary captivity. Moreover, the Prince Jem factor caused an increase in internal contradictions within Christendom, leading to a direct confrontation between Pope Alexander VI Borgia and the French King Charles VIII, resulting in the Pope entering into a de facto alliance with Bayezid II. During these events, the Holy See lost a significant part of its authority among the states of Christian Europe, which, moreover, did not hesitate to protect their interests to its detriment, in particular, demanding Jem to bypass the Vatican in order to play their own political-diplomatic game with the Ottomans. These events show how deep intra-European contradictions were and how much they affected the general system of diplomatic relations with the Ottoman Empire. In addition to this, from now on the Ottoman Empire took its place in the pan-European system of international relations, ceasing to be the image of an all-encompassing enemy, and becoming a very real situational partner and an organic element of inter-European diplomacy, which was actively used for mutual blackmail and sometimes as an effective lever of a peculiar system of restraints and counterbalance within Christendom.
Birinci Basamak Sağlık Kuruluşlarında Yanık Yönetimi
Authors: TULUMTAŞ Öykü Su , ŞİMŞEK Erhan
Published: October 2023

Yanıklar, kişinin sağlığı ve yaşam kalitesi üzerinde önemli etkileri olabilen ve ölüme yol açabilen, önlenebilir ancak potansiyel olarak yaşamı değiştirebilen yaralanmalardır. Sebep oldukları morbidite ve mortalite ile yanıklar, birey ve toplum için büyük bir sorundur. Yanıklar her zaman her yerde oluşabilirler ve genelde gerçekleştiklerinde etrafta sağlık personeli bulunmamakla birlikte yaralıya müdahale için sağlık personelinin gelmesini beklemek zaman kaybıdır. Yanık yönetimi oldukça karmaşık ve çok yönlüdür ancak yüksek kaliteli yanık bakımı, yaralanmadan hemen sonra ilk yardımla başlar. Yanık durumunda, araştırmalar uygun ilk yardımın erken uygulanmasının yaralanma sonrasında hasta sonuçlarını iyileştirdiğini göstermektedir. Yanıkta ilk yardım iki aşamada uygulanabilir. Bunlar; yanığın olduğu kaza bölgesinde gerçekleştirilecek işlemler ve yanığa uğrayanların ilgili tedavi birimlerine ulaştırılmasından sonra gerçekleştirilecek işlemlerdir. Yanık birinci basamakta sık karşılaşılabilen, çoğu aile hekimlerince tedavi edilebilen, tedavisi uzun sürebilen ve pahalı olabilen, tedaviye rağmen kötü ve kalıcı sonuçları olabilen bir travmadır. Tedavisinden çok önlenmesi önem arz etmekte olup, ilk yardım prognozda çok önemlidir ve bu konuda toplumun bilgi sahibi olması gerekmektedir. Bu kapsamda birinci basamakta çalışan sağlık personelince yanığın tanınması, yanık derecesinin ve sevk kriterlerinin bilinmesi, yanık derecesine göre tedavilerin ayarlanarak uygulanması önem arz etmektedir. Birinci basamak sağlık kuruluşlarında yanık hastasına uygulanabilecek tedavi ve işlemler kısıtlı olmakla birlikte hastanın zamanında ve doğru sevki önemlidir. Bundan dolayı birinci basamak sağlık kuruluşlarında yanık yönetimi için uygulanacak algoritmaların hazırlanması gerekmektedir. Bu amaçla çalışmamızda güncel veriler ele alınarak birinci basamak sağlık kuruluşlarında yanık yönetimi için algoritma oluşturulmaya çalışılmıştır.
Antihipertansif İlaçlar ve Teratojenite Alanında Güncel Araştırmalar
Authors: ALTINTAŞ AYKAN Duygun
Published: October 2023

Gebelikte hipertansif bozukluklar, dünya çapında gebeliklerin en yaygın tıbbi komplikasyonlarındandır. Gebelik sırasında hipertansiyonu tedavi etme kararı, hem anne hem de fetüs için riskleri ve yararları göz önünde bulundurularak alınmalıdır. Hipertansiyon tedavisinin amacı maternal riski azaltmak olsa da, seçilen ajanlar fetüs için güvenli olmalıdır. Uzun vadeli prognoz, tahmini maternal risk ve beklenen fetal sonuçlar multidisipliner bir yönetim planı oluşturularak hasta ile paylaşılmalıdır. Bu çalışmada, gebelik sırasında hipertansiyon tedavisine ilişkin kılavuzlar, antihipertansif ilaçların gebelikte maruziyeti ile ilgili hayvan çalışmaları ve insan gebelik raporları incelenmiştir. Antihipertansif ilaçların gebelikte kullanımının güvenliliği ve oluşabilecek potansiyel teratojenik etkileri derlenmiştir.
Apigenin'in potansiyel farmakolojik etkileri üzerine bir derleme
Authors: SUSAM Solmaz , ÇIKIM Gürkan
Published: October 2023

Apigenin, günlük hayatta tükettiğimiz meyve ve sebzelerde bolca bulunan, çeşitli sağlık sorunlarının önlenmesinde ve tedavisinde önemli bir rol oynayan flavonoidlerden biridir. Apigeninin, başlıca anti-oksidan, anti-inflamatuvar ve anti-neoplastik olmak üzere çeşitli farmokolojik etkileri bulunmakla birlikte, bu etkilerini spesifik yolaklardaki proteinleri up ya da down regüle ederek sergilemektedir. Bu çalışmada apigeninin özellikle inflamasyon, oksidan-antioksidan denge, kanser, apoptozis ve hücre döngüsü üzerine etkilerine odaklanılmış ve bu özellikleri in vivo ve in vitro çalışmalarla desteklenmiştir. Yapılan araştırmalar neticesinde apigeninin anti-inflamatuvar, anti-oksidan ve anti-kanserojen özellikler sergilediği neticesine varılmıştır. Bununla birlikte apigeninin hasar görmüş, yıpranmış ya da kanseröz hale dönüşmüş hücreleri apoptozise yönlendirdiği, hücre döngüsünü çeşitli kontrol noktalarında durdurarak bu tür hücrelerin çoğalmasını engellediği ve bu şekilde antiproliferatif etki sergilediği gözlenmiştir.
sedução e o perigo da leitura em Teolinda Gersão e Lygia Fagundes Telles
Authors: Cordeiro Fernando Henrique Crepaldi
Published: October 2023

Este trabalho tem como objetivo realizar uma leitura dos contos “O leitor”, publicado por Teolinda Gersão em Histórias de ver e andar (2002), e “A caçada”, publicado por Lygia Fagundes Telles em Antes do baile verde (1970), tendo como eixo dois elementos centrais e entrelaçados: a leitura e a metalinguagem. A narrativa da autora portuguesa enfoca um protagonista-narrador que realiza um processo tríplice de leitura durante a obra: é o leitor de uma série de histórias policiais que favorecem o escape da solidão e da mecanização de sua vida cotidiana; é o leitor de sua própria condição e das suas experiências no mundo; e, por fim, é o leitor das tradições do gênero policial. Esse processo triplo de leitura despoleta um questionamento acerca dos perigos e prazeres associados a essa atividade. Já o texto de Lygia Fagundes Telles nos propõe uma narrativa na qual ficção e realidade se interpenetram justamente no processo de leitura, conduzido pelo protagonista da obra, de uma tapeçaria que representa uma cena de caça. Pode-se pensar, desse modo, o conto da brasileira como uma espécie de alegoria (fantástica?) da própria recepção do artefato literário, uma vez que desdobra a relação caçador-caça figurada no tapete para a leitor-texto. Na narrativa de Telles, contudo, a leitura implica uma reversão dessa relação. Embora de maneiras distintas e dialogando com diferentes tradições, ambas as obras encenam a sedução e o perigo da leitura.
estilo na crítica textual
Authors: Cambraia César Nardelli
Published: October 2023

O presente trabalho tem como objetivo discutir o papel do estilo na crítica textual, enfocando especialmente seus domínios de aplicação e a questão da variação linguística. Há dois momentos em que o estilo é utilizado como critério para resolução de tarefa: na transcrição de testemunhos e na seleção de variantes. Uma das grandes dificuldades para a aplicação do critério do estilo na seleção de variantes está relacionada à variação linguística. Com base na discussão realizada, defendeu-se que, para operacionalizar a aplicação desse critério em casos de variação linguística, é pertinente considerar a frequência das variantes, o que significa ser necessário conjugar uma abordagem qualitativa com quantitativa.
Relationship between the Authentic Leadership and Big Personality Trait of Neuroticism: An Empirical Study
Authors: Baker Jasmine J.
Published: October 2023

The scope of study that has been done on the significant personality impact of neuroticism on authentic leadership has been relatively minimal.  Using a correlational method, this study aims to investigate the relationship between neuroticism's primary personality trait and authentic leadership's components (self-awareness, internalized moral perspective, balanced processing, and relational transparency). The authentic leadership questionnaire (ALQ) is used to examine leaders' personalities and authentic leadership styles. The results of this research showed that there is a negative correlation between neuroticism and all authentic leadership dimensions. This was the key takeaway from the study.
COMPREENDENDO A FORMAÇÃO DE NANOESTRUTURAS EM GELO ASTROFÍSICOS ATRAVÉS DA DINÂMICA MOLECULAR CLÁSSICA
Authors: Silva Priscila Alves da , Oliveira Sergio Pilling Guapyassu de , Amarim Rodrigo Garcia
Published: October 2023

Astrophysical ices (formed by water, among other molecules) act as a catalyst and a reservoir of carbonaceous species, both of which have major implications for astrobiology. In this work, we studied the formation of astrophysical ice nanostructures found in the interstellar medium, having a sheet of graphene as a catalyst substrate, using the classical molecular dynamics technique to model these astrophysical environments. For this, two systems were designed: the first composed of graphene and  and the second composed of graphene,  and . Initially, a simulation box was built where the area was delimited by graphene whose height varied from 4, 6, 8 and 10 nm. The molecules were evenly distributed throughout the box. The molecular dynamics technique proved to be a promising tool to understand the phenomenon of adsorption of molecules on the substrate, allowing us to realize that the random distribution of molecules in the system interferes with the geometric structure formed by an ice nanostructure. This study allows us to understand, from the nanometric point of view, the influence of some physical-chemical parameters, regarding the formation of nanostructures of astrophysical ices, such as the number of hydrogen bonds, the initial size of the simulation box, and its density during the freezing process
APLICAÇÃO DO MÉTODO DE ELEMENTOS FINITOS NA ANÁLISE DE CONCRETO ASFÁLTICO CONTENDO RAF COMO AGREGADO
Authors: Dyer Paulo Paiva Oliveira Leite , Lauer Coppio Gustavo José , De Simones Cividanes Luciana , Silva Silvelene Alessandra , Gutierrez Klinsky Luis Miguel , Betioli Ribeiro Dimas , Geimba de Lima Maryangela
Published: October 2023

Industrial waste reusing, such as Waste Foundry Sand (WFS) is an alternative to reducing mineral aggregates use. This waste is similar to the aggregates; however, it is necessary to prove its technical viability. In this sense, computational models by Finite Element Methods (FEM) complement empirical results, simulating the behavior of this alternative pave. In this paper, a computational model was built using FEM, simulating the behavior of Hot Mix Asphalt (HMA) containing WFS as an aggregate in the Abaqus software environment. This model was validated by comparing response data with empirical results. And then, analyzed for its mechanical behavior and in two case studies. The results obtained were satisfactory when compared to empirical results. Confirming the applicability of FEM in road engineering, particularly in HMA containing WFS.
TBICheck: a rapid test to rule-out CT scans in mild Traumatic Brain Injury patients
Authors: Sanchez Jean-Charles
Published: October 2023

Introduction The TBICheck TM Rapid test is an immunochromatographic rapid test capable of assisting in the triage of patients with mild Traumatic Brain Injury (mTBI) suspected of brain lesions. It quantitatively determines heart-type Fatty Acid Binding Protein (H-FABP) levels in whole blood, serum, or plasma. The aim of the present study was to evaluate its technical performance and test it in two different cohorts of mTBI patients as a potential diagnostic tool for detecting brain lesions in patients with mTBI. Material and methods Description of the assay: Linearity and low limit of quantification (LLOQ) of TBICheck TM lateral flow assay were determined using serial dilution of standardized samples. Results were read using the TBICheck TM Reader, a mobile photometric immunoassay analyzer based on reflectance measurements to capture the optical density. Obtained results were compared to classical ELISA assays, Meso Scale Diagnostics (MSD). Patient cohorts: Two different cohorts of adult mTBI patients were included: a retrospective one including 82 patients and a prospective one including 65 patients. Values of H-FABP area under the curve (AUC), specificity (SP), sensitivity (SE) and negative predictive value (NPV) were calculated. Results The H-FABP dose response fitted a linear regression within the range of 0.5-25 ng/mL. LLOQ in blood was 0.5 ng/mL. High Spearman correlation was found (ρ=0.933, p<0.001) when MSD ELISA and TBICheck TM concentrations were compared. In the retrospective cohort, when the clinical sensitivity was set at 100%, a specificity value of 32.9% was obtained. In the prospective cohort, the SP value raised to 66.1% with 100% SE, meaning that 6 out of 10 patients might be discharged on the basis of their serum H-FABP concentration at hospital admission. Conclusions The quantification of H-FABP by using the TBICheck TM Rapid test on adult mTBI patients may allow to rule out the need of a CT-scan reducing the radiation exposure and avoiding the long waiting times in emergency units. It may lead to savings in hospital resources and assists medical doctors to provide the most appropriate treatment to the patients.
Single spot albumin to creatinine ratio as an independent predictor of 12 years follow-up mortality in acute coronary syndromes without ST-segment elevation.
Authors: Higa Claudio
Published: October 2023

Background: Up to date there is no evidence of the association between microalbuminuria, measured as single spot urine albumin to creatinine ratio (ACR), with very long-term mortality in patients with non-ST segment Elevation Acute Coronary Syndromes (NSTE-ACS). Aim: To evaluate the association between admission ACR and very long-term all-cause mortality in an unselected cohort of NSTE-ACS patients. Methods: A prospective cohort study was conducted, including patients with NSTE- ACS admitted in the Intensive Care Unit. The ACR was determined in spontaneous urine samples during the first 24 hours after admission and analyzed by immunoturbidimetry. The primary endpoint was all-cause mortality during the follow-up. Actuarial survival curves were compared by log rank test and a logistical Cox regression analysis was performed to identify variables independently associated with mortality in the follow-up. Statistics were calculated using the IBM Statistics program SPSS version 26. Results: 600 patients were analyzed. The overall average ACR value was 7 mg/gr (95% CI 4-26). 76% had normoalbuminuria (ACR 0-30 mg/gr), 22% had microalbuminuria (ACR 30-300 mg/gr), and 1.5% had macroalbuminuria (ACR > 300 mg/gr). The median and interquartile range of follow-up was 12 years (95% IC 11-14). The average IAC among those who met the primary endpoint was 59.15 mg/gr (95% CI 52-66) and among the survivors, 27.66 mg/gr (95 % CI 63-77), p 0,003. ACR terciles were defined by 33th and 66th percentiles: tercile 1: patients with IAC of 0 to 4 mg/gr, tercile 2: IAC from 4 to 17 mg/g and tercile 3 values greater than 17mg/gr. Strong associations were observed between ACR with age, hypertension, stroke and history of COPD, previous use of angiotensin II converter/blocking enzyme inhibitors, systolic blood pressure at admission, ST segment deviation, left ventricle ejection fraction and elevation of serum Troponin T and CPK MB. All cause-mortality during the follow-up was 14% (CI 95% 11-17). Elevation of ACR was significantly associated with long term mortality risk: log rank test chi square: 133.936, p = 0.0001. By multivariate Cox regression analysis adjusted by age, gender, diabetes, hypertension, serum creatinine, troponin T elevation, ST segment deviation, previous AMI, prior use of aspirin, statins and percutaneous coronary intervention after hospitalization, the ACR was independently associated with a 12-year follow-up mortality: OR 13 (95% IC 5-35; p 0.0001). Conclusion: Single spot urine ACR at admission is a strong predictor of 12-year follow- up mortality in an unselected cohort of patients with NSTE-ACS.
A Model for Plastic Neutrality in Dialysis: Converting Surrogate Plastic Waste to Sinkable Pebbles
Authors: Ravichandran Palani
Published: October 2023

Dialysis plastic waste is a growing problem in India, with an estimated 3 million kilograms generated each year. Effective disposal of dialysis plastic waste is not uniformly addressed, and there is a need for sustainable solutions. This study evaluated a plastic pebble model made from surrogate plastic equivalent to twice that generated during dialysis. The model was evaluated for its potential to offset dialysis plastic waste and its role in achieving sustainability in dialysis. Additionally, the model was used to advocate for and carry forward a campaign for plastic neutrality in dialysis. The amount of dialysis plastic waste generated in one month by 25 patients was quantified. The sinkable plastic pebble aggregate model was created by purchasing waste plastic, double the quantity of calculated DPW, from the market. The purchased plastic was then repurposed into sinkable plastic pebble aggregate to mimic blue metal. Various sample products were made in the form of slabs and bricks using sinkable plastic pebble aggregate, and compared to those made from blue metal and fired bricks. The stability and strength of the different products were compared, and the costs were analysed. The methodology was further used for advocacy and to campaign for plastic neutrality. The results showed that the sinkable plastic pebble aggregate model is a feasible and effective way to reduce plastic waste in dialysis. It is cost-effective, contributes to a circular economy, and helps reduce mining for blue metal and fertile soil for bricks. The model can also advocate for the use of plastic-neutral materials in dialysis to reduce environmental pollution. To conclude Sinkable plastic pebble surrogate model is a promising solution for offsetting plastic waste in dialysis. It is cost-effective, environmentally friendly, and it helps to campaign for plastic neutrality in dialysis. Further study is needed to assess its impact on a larger scale.
A Modification of the Rectus Muscle Repair for Repair Ventral Hernias: Case Report
Authors: Cawich Shamir
Published: October 2023

Background: In an attempt to avoid mesh-related complications, many authorities have described non-mesh repair of midline ventral hernias. We described rectus muscle repair (RMR) for ventral hernias in 1993, but we noticed that a limitation was the inability to repair large hernia defects. We now describe a modification of this technique that allows it to be used for larger defects. Methods: We report a case in which the modified RMR was used to repair a large ventral hernia. In the original RMR, sutures were placed through each rectus abdominis to approximate the muscles, thereby obliterating the linea alba and repairing the hernia. In this modification of the RMR, the hernia sac and the linea alba were imbricated and a vertical relaxing incision was made in each anterior rectus sheath, keeping the underlying muscle and posterior sheath intact. Results: This relaxing incision is a useful modification of the original RMR, especially where there is significant tension on the suture line. This patient had an uneventful recovery with no recurrence on clinical examination at his last clinical review 5 years post-operation. Conclusion: The modified RMR repair for ventral hernias is an acceptable alternative to mesh repair. It brings a low complication profile and avoids the burden of mesh-related complications.
Noticias del BID : Vol. 11, no. 11, noviembre 1984
Authors:   Banco Interamericano de Desarrollo
Published: October 2023

Noticias del BID, publicación mensual que tiene por objetivo informar acerca de las actividades del Banco Interamericano de Desarrollo.