bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of machine learning models for invasive Breast cancer classification – towards early diagnosis
Authors: Rajendran Krishnamoorthy Hema Nandini , Karuppasamy Ramanathan
Published: June 2024

Invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC) are the most common forms of breast cancer and leading causes of death among women globally. Early detection of these subtypes with the aid of routinely collected demographic and clinical data is a feasible strategy and facilitates cancer routine care. Due to its widespread use, it could potentially benefit from the use of machine learning models to aid clinicians in their diagnosis workflow. Thus, we aimed to develop ML models using data retrieved from electronic health records corresponding to 1021 patients to accurately predict and classify these subtypes. Of note, prediction models were built using decision trees, naïve bayes, logistic regression, random forest and support vector machine. The classifiers' performances were assessed using accuracy, precision, recall and area under the curve. It is worth noting that the SVM model outperformed the ILC and IDC diagnostic response with an overall accuracy of 83% (AUC score 85%, precision 88% and recall 30%) than the other models. These findings highlight that it is feasible to develop a precise prognostic model by fusing various clinical and demographic data. The positive outcomes show the promise of using machine models as diagnostic aid tools for pathologists in clinical practice.
Les Cassidinae de la faune belge (Coleoptera Chrysomelidae), catalogue et atlas. Entretiens sur les Chrysomelidae de Belgique et des régions limitrophes 18
Authors: Fagot Jean
Published: June 2024

Dans le cadre de la réalisation du catalogue des Chrysomelidae de Belgique, nous présentons les catalogue et atlas de la sous-famille des Cassidinae mis à jour à la date du 15 novembre 2022. Ce catalogue est adapté à la nomenclature récente et complété par une carte des occurrences connues de nous dans le pays. Un commentaire accompagne chaque espèce.
LOGAN: Log Analyzer Simulation Sebagai Media Simulasi Analisis Log Berbasis Data Generator
Authors: Koprawi Muhammad , Putra Wahyu Sukestyastama , Ashari Wahid Miftahul , Kuswanto Jeki , Nugraha Anggit Ferdita
Published: June 2024

Aktivitas pengunjung sebuah website akan tersimpan di server pada file yang bernama access log. Access log menyimpan berbagai informasi penting seperti IP address pengunjung sampai user agent yang digunakan (browser, sistem operasi, dan sebagainya). Untuk mendapatkan file access log setidaknya harus memiliki akses ke server sehingga file tersebut dapat diambil kemudian dianalisis. Pada penelitian ini, dibuat sebuah sistem yang digunakan sebagai alat untuk membuat file access log secara otomatis dan dirancang mirip seperti format file access log yang ada pada server. Selain sebagi alat untuk membuat file access log, sistem ini juga dirancang untuk melakukan analisis informasi terhadap file access log tersebut dengan menyajikannya dalam bentuk visualisasi. Metode yang digunakan untuk mengembangkan sistem ini adalah metode pengembangan Rapid Application Development (RAD). Metode RAD dipilih salah satunya karena siklus pengembangan yang relatif lebih cepat dan singkat tetapi tetap dapat menghasilkan kualitas sistem yang baik. Untuk pengujian terhadap sistem dilakukan beberapa skenario yaitu membuat file temporary access log dengan 1000 baris log yang menghasilkan waktu rata-rata 0,791 detik, proses insert data ke database yang bersumber dari file temporary access log menghasilkan waktu rata-rata 0,271 detik, dan skenario terakhir yaitu membuat log on the fly kemudian langsung insert data ke database menghasilkan waktu rata-rata 4,833 detik. Sehingga dari hasil pengujian tersebut didapatkan skenario yang efektif dan tidak membebani sistem terutama bagian database yaitu membuat file temporary access log terlebih dahulu kemudian insert data ke database yang bersumber dari file temporary access log.
Prediksi Jumlah Target dan Realisasi Wajib Pajak Atas PBB – P2 Menggunakan Multi Regression, Regression Lasso, dan PCRPrediksi Jumlah Target dan Realisasi Wajib Pajak Atas PBB – P2 Menggunakan Multi Regression, Regression Lasso, dan PCR
Authors: Pardede Jasman
Published: June 2024

Perubahan besaran Pajak Bumi dan Bangunan memberikan dampak bagi beberapa sektor maupun masyarakat di Kota Bandung, karena perubahan yang cukup signifikan dalam besaran Pajak Bumi dan Bangunan ini memberikan pengaruh pada kesadaran dan juga kepedulian masyarakat dalam membayar pajak. Terdapat beberapa penggunaan machine learning dalam penentuan pajak ini dimana salah satunya adalah dengan memprediksikan sebuah besaran Target dan Realisasi pada Pajak Bumi Bangunan, sehingga dilakukan sebuah penelitian dengan membandingkan metode Multi Regression, Regression Lasso, dan PCR (Principle Component Regression) untuk menentukan jumlah prediksi terbaik pada Target dan Realisasi penerimaan Pajak Bumi dan Bangunan di Kota Bandung. Hasil pengujian yang telah dilakukan, didapatkan bahwa Regression Lasso memiliki nilai keakuratan prediksi terbaik sebesar 79.08%. Hasil tersebut diakibatkan karena Regression Lasso dapat mengestimasi parameter, mengatasi permasalah multicolinearity yang terjadi pada data yang digunakan dan menyeleksi variabel yang ada untuk mendapatkan nilai keakuratan prediksi terbaik. Sehingga dapat disimpulkan bahwa terdapat pengaruh positif pada variabel Ketetapan, Target, dan Realisasi yang saling berkaitan. Hal tersebut saling mempengaruhi besarannya, dimana ketetapan mempengaruhi jumlah target, dan jumlah target mempengaruhi jumlah realisasi pada model yang terbentuk, dan proses pre – processing membuat model Regression Lasso ini menjadi lebih baik.
Klasifikasi Covid-19 menggunakan Arsitektur DarkCovidNet pada Citra Radiografi X-ray Dada
Authors: Wahyuningrum Rima Tri , Putra Wahyu Zainur , Satoto Budi Dwi , Sari Amillia Kartika , Sensusiati Anggraini Dwi
Published: June 2024

Covid-19 adalah penyakit severe acute respiratory syndrome. Coronavirus menjadi penyebab gangguan pernapasan dan infeksi paru paru, sehingga dapat menyebabkan kematian. Penyakit Covid-19 sudah tersebar ke seluruh negara termasuk negara Indonesia. Meskipun saat ini, Covid-19 telah mereda namun pencegahan maupun penanganannya tetap dibutuhkan. Oleh karena itu sangat diperlukan alat untuk mendiagnosis penyakit Covid-19 pada X-ray dada. Penggunaan klasifikasi citra berfungsi untuk memproses penggabungan piksel pada suatu citra ke dalam kelompok untuk diinterpretasikan sebagai bentuk properti yang spesifik. Dengan klasifikasi citra, mampu mempermudah pengelompokan individu untuk mewakili fitur kelas citra. Pada penelitian citra radiografi X-ray dada ini, menggunakan multiclass-classification yang terdiri dari 3 kelas yaitu: Covid-19, Normal (No-Findings), dan Pneumonia. Dataset yang diperoleh berjumlah 4.945 citra X-ray.  Pertama, dilakukan proses input citra dan resize image. Setelah itu dilakukan pembagian data yaitu 80% sebagai data train dan 20% sebagai data test. Pada proses pelatihan (train) akan menggunakan model DarkCovidNet. Arsitektur yang diusulkan terdiri dari 19 convolutional layer dan 5 maxpooling. Model ini terdapat proses DarkNet (DN). DN terdiri dari proses convolutional, batch normalization dan LeakyReLU. Pada skenario uji coba menggunakan optimasi Adam, reduce learning rate, dan menambahkan 3 hidden layer. Hasil uji coba terbaik terdapat pada uji coba keempat dengan hasil akurasi sebesar 95,85%, F1-score 95,89%, AUC 99,48%. Dengan demikian model DarkCovidNet tersebut sangat bagus dalam melakukan klasifikasi citra X-ray dada.
Efisiensi Pertukaran Data Client-Server menggunakan Web Socket pada Perangkat Berbasis Internet of Things
Authors: Nugraha Kristian Adi
Published: June 2024

Internet of Things (IoT) banyak digunakan dengan tujuan membantu mempermudah hidup masyarakat dalam wujud perangkat-perangkat yang dapat bekerja secara otomatis. Perangkat IoT secara umum dapat dipantau atau dikendalikan menggunakan perangkat lain seperti komputer atau telepon seluler melalui perantara server yang dikenal sebagai Application Programming Interface (API). Umumnya, protokol yang digunakan untuk pertukaran data antara client dan server adalah Message Queuing Telemetry Transport (MQTT). Namun MQTT memiliki beberapa kelemahan di sisi kehandalan dan keamanan data, sehingga tidak dapat digunakan pada segala jenis kondisi dan situasi. Sebagai alternatif, terdapat protokol Hypertext Transfer Protocol (HTTP) yang dapat mengakomodasi kekurangan tersebut. Namun HTTP memiliki kelemahan di mana server tidak dapat mengirimkan data kepada client apabila client tidak mengirimkan request terlebih dahulu. Sementara pada perangkat IoT, data seharusnya bisa dikirimkan oleh kedua belah pihak. Terdapat satu buah protokol lain yang dapat menjadi solusi dari kedua kebutuhan tersebut, yaitu Web Socket. Penelitian ini bertujuan untuk mengimplementasikan arsitekur client-server berbasis Web Socket untuk melakukan pertukaran data antara perangkat IoT dengan server. Hasil pengujian menunjukkan bahwa protokol Web Socket memiliki nilai latency yang paling rendah di antara protokol yang lain, yaitu dengan nilai rata-rata antara 10,75 sampai dengan 23,29 milidetik. Rentang tersebut termasuk kategori yang baik, sehingga dapat disimpulkan bahwa Web Socket dapat digunakan sebagai alternatif pengganti MQTT.
Deteksi Email Spam menggunakan Algoritma Convolutional Neural Network (CNN)
Authors: Bachri Chris Moulana , Gunawan Wawan
Published: June 2024

Deteksi email spam merupakan isu penting dalam keamanan siber di Indonesia, yang menempati posisi delapan teratas di dunia dalam hal pengiriman spam. Untuk mengatasi tantangan ini, penelitian ini memperkenalkan penggunaan algoritma Convolutional Neural Network (CNN). Dengan kemampuan superior dalam mempelajari dan mengenali pola dari dataset besar, CNN menawarkan pendekatan berbasis kecerdasan buatan yang lebih efektif daripada metode tradisional. Penelitian ini mengembangkan model CNN dengan menganalisis teks dari 15.271 email berbahasa Inggris dan Indonesia dengan menggunakan teknik pembersihan teks dan Tokenization. Hasilnya menunjukkan keefektivitasan CNN yang signifikan dalam mengklasifikasikan email dengan tingkat akurasi tinggi sebesar 99.67% untuk data uji 20%, 99.64% untuk data uji 30%, dan 99.63% untuk data uji 40%. Berdasarkan hasil pengujian tersebut menunjukkan bahwa algoritma CNN berpotensi kuat dalam meningkatkan keamanan digital.
Uji Nilai Akurasi pada Neural Machine Translation (NMT) Bahasa Indonesia ke Bahasa Tiochiu Pontianak dengan Mekanisme Attention Bahdanau
Authors: San Lo Bun , Sujaini Herry , Tursina Tursina
Published: June 2024

Mesin penerjemah merupakan cabang penting dari pemrosesan bahasa alami yang bertujuan untuk menerjemahkan bahasa alami menggunakan komputer. Mesin penerjemahan statistik sudah banyak diuji dalam kasus terjemahan bahasa lokal/daerah oleh penelitian di Indonesia. Penelitian mesin penerjemahan neural beberapa tahun belakangan ini, terus menjadi pilihan dalam mesin penerjemahan yang bahkan sampai saat ini sudah diterapkan pada google. Mesin penerjemah dimanfaatkan sebagai usaha dalam membudidayakan suatu bahasa lokal/daerah untuk komputasi, supaya bahasa tersebut tidak hilang karena pengaruh bahasa dilingkungan tempat tinggal yang berbeda-beda. Dalam pengujian ini mekanisme yang digunakan dalam mesin terjemahan neural adalah mekanisme attention Bahdanau dari uji akurasi penerjemahan Bahasa Indonesia ke Bahasa Tiochiu. Mekanisme attention Bahdanau muncul sebagai pengujian peningkatan akurasi terbaik saat ini berkat penggunaan rumus skor attentionnya. Adapun pengujian bahasa alami yang digunakan adalah kalimat bahasa Indonesia diterjemahkan ke kalimat bahasa Tiochiu Pontianak dengan mekanisme Attention Bahdanau pada Mesin Penerjemah Neural. Data korpus pararel yang diuji adalah 500 kalimat dengan data latih adalah 4500 kalimat. Perlunya dilakukan penelitian terhadap mekanisme attention untuk nilai akurasi tertinggi berdasarkan nilai skor BLUE dan ahli bahasa. Langkah-langkah yang digunakan dalam menguji dan mendapatkan nilai akurasi skor BLEU mekanisme attention dimulai dari metode membagi data uji secara validasi k-fold cross sebanyak 10 data uji dan masing-masing data uji tersebut dilatih sebanyak tujuh kali pengujian dari jumlah epoch kelipatan 10. Setelah didapatkan skor nilai akurasinya dari pelatihan sebanyak 70 kali tersebut dihitung dan dicari rata-rata nilai akurasi tertinggi didasarkan jumlah epoch didapatkan serta uji manual oleh ahli bahasa dengan mengambil sampel dari data uji yang memiliki akurasi tertinggi tersebut. Hasil uji mekanisme mesin terjemahan neural dengan attention Bahdanau yang didapatkan terdapat pada sampel uji6. Rata-rata nilai akurasi paling tinggi sebesar 18,41% pada epoch 50, dan uji oleh ahli bahasa pada 167 kalimat terjemahan memperoleh nilai akurasi sebesar 54,51%. Serta uji otomatis BLEU paling tinggi dengan pengujian k-fold cross validation pada sampel uji6 dengan jumlah epoch 50 sebesar 24,26%. Nilai akurasi otomatis BLEU tertinggi pada sampel Uji6 dengan tanpa Attention Bahdanau sebesar 12,41%. Sehingga dapat disimpulkan bahwa dengan mekanisme Attention Bahdanau adalah tingkat hasil akurasi yang terbaik.
Implementasi Pengukuran Kenyamanan Visual Pada Ruang Perkantoran berbasis Internet of Thing
Authors: Indahsari Rina Dewi , Sendari Siti , Irianto Wahyu Sakti Gunawan
Published: June 2024

Pencahayaan yang cukup secara alami dibutuhkan manusia dalam beraktivitas. Gedung perkantoran sebagai tempat beraktivitas memerlukan pengaturan pencahayaan agar penghuninya mendapatkan kenyamanan visual.  Biaya yang tinggi tidak selalu mampu memberikan kenyamanan yang dibutuhkan. Untuk itu perlu dilakukan pengukuran kenyamanan visual pada ruang perkantoran untuk menerapkan kondisi pencahayaan yang paling efektif sesuai kondisi ruangan dan kebutuhan penghuninya. Penggunaan pencahayaan buatan (lampu) akan membantu panca indera penglihatan manusia dalam mengakses informasi. Pengukuran tingkat cahaya dilakukan menggunakan sensor BH1750 yang dikoneksikan dengan Arduino modul wifi ESP8266. Sistem mampu menyimpan hasil pengukuran tingkat cahaya secara real time dan ditampilkan melalui dashboard website. Hasil pengukuran dikombinasikan dengan data cuaca dan kebiasaan penghuni dalam mengatur pencahayaan buatan (lampu). Dari hasil eksperimen dan observasi pada ruang perkantoran dengan luas 64,8 m2 menunjukkan bahwa kenyamanan visual mampu di dapatkan dengan pencahayaan buatan (lampu) sepanjang hari. Hasil eksperimen menunjukkan bahwa masing-masing bagian dalam ruangan menerima tingkat pencahayaan yang berbeda. Pengukuran tingkat pencahayaan berbasis IoT mampu menunjukkan hasil bahwa 2 dari 5 titik meja kerja telah mememiliki pencahayaan yang baik dan memberikan kenyamanan visual bagi penghuninya. Dari hasil survey menunjukkan bahwa kenyamanan visual penghuni berada pada tingkat cahaya 100 lux atau lebih.
Implementasi Algoritma Aho-Corasick pada Pencarian di Aplikasi Lost and Found
Authors: Sulaeman Naufal Ferdy , Murnawan Murnawan
Published: June 2024

Pencarian informasi yang efisien dan akurat merupakan tantangan dalam pengembangan aplikasi Lost and Found. Penelitian ini mengeksplorasi implementasi algoritma Aho-Corasick pada sistem pencarian di aplikasi Lost and Found. Algoritma Aho-Corasick, sebuah algoritma pencarian string efisien, digunakan untuk meningkatkan kinerja dan ketepatan pencarian objek yang hilang. Penelitian ini berfokus pada desain dan implementasi algoritma Aho-Corasick dalam pengembangan fitur pencarian di aplikasi Lost and Found. Pertama, studi dilakukan untuk memahami prinsip kerja algoritma Aho-Corasick serta keunggulan dalam konteks aplikasi ini. Selanjutnya, algoritma tersebut diimplementasikan dalam lingkungan pengembangan aplikasi dan disesuaikan dengan kebutuhan fitur pencarian yang diinginkan. Aplikasi ini diciptakan dengan menggunakan sistem backend (API) dan frontend, sehingga API (Application Programming Interface) dari aplikasi ini dapat digunakan dalam devices yang berbeda pada pengembangan selanjutnya. Metode pengujian yang digunakan melibatkan sejumlah skenario pencarian yang berbeda untuk mengukur kinerja algoritma Aho-Corasick. Parameter yang diukur meliputi waktu respons pencarian, ketepatan hasil pencarian, dan penggunaan sumber daya sistem. Berdasarkan hasil pengujian, algoritma Aho-Corasick yang menghasilkan waktu total 145.68 ms terbukti memiliki waktu pemrosesan yang lebih cepat 300% dibandingkan dengan metode pencocokan kata kunci pencarian dengan laporan yang tersimpan dalam database yang mencatatkan waktu total 459.93 ms.
Perbandingan Gini Index dan Chi Square pada Sentimen Analsis Ulasan Film menggunakan Support Vector Machine Classifier
Authors: Purbolaksono Mahendra Dwifebri , Pratama Deninsyah Tiya Bella , Hamzah Fahmi
Published: June 2024

Pada era informasi ini semakin banyak penilaian, pendapat dan pandangan yang dapat ditemukan secara luas di dunia maya. Contohnya adalah ulasan film, di mana penonton berbagi pandangannya mengenai sebuah film. Ulasan film adalah platform di mana para penggemar film dapat mengungkapkan pendapat mereka, baik itu dalam bentuk komentar negatif atau pun positif. Sebagian besar website untuk ulasan film sudah memiliki rating atau bintang, namun rating tinggi tidak selalu diiringi oleh ulasan yang baik begitu pun sebaliknya. Untuk itu, dibutuhkan metode untuk menganalisis teks dengan tujuan mengklasifikasikan apakah ulasan film tersebut termasuk dalam kategori negatif ataupun positif. Teknik yang digunakan adalah analisis sentimen atau opinion mining. Analisis sentimen adalah bidang dalam machine learning yang bertujuan untuk mengambil informasi bersifat subjektif dari teks ulasan. Salah satu metode klasifikasi machine learning adalah Support Vector Machine (SVM). Namun semakin banyak data akan muncul beberapa masalah yaitu banyaknya kata atau fitur yang tidak relevan menyebabkan kinerja pengklasifikasian menurun. Fitur tidak relevan akan menyebab perfomansi yang rendah. Seleksi fitur Gini Indeks dan Chi-Square dibandingkan untuk mengatasi masalah kata yang tidak relevan. Pada penelitian ini, metode klasifikasi SVM kombinasikan dengan metode seleksi fitur untuk meningkatkan performansi. Kombinasi SVM dan Gini Index menghasilkan performansi F1-score sebesar 85.8%. Sedangkan menggunakan SVM dan Chi-Square menghasilkan performansi F1-score tertinggi yaitu sebesar 89.2%.
Predicting Student Academic Performance Based on Psychological Test using Machine Learning
Authors: Simaremare Mario E. S. , Limbong San A. , Sirait Estomihi R. , Hasibuan Cristina S.
Published: June 2024

It is essential to consider the psychological aspect of selecting new students to determine the success of prospective students. The psychological aspect is measured by a psychological test that shows the level of prospective students' abilities in social, emotional, personality, and potential to live at university. This paper proposes an approach to predicting student performance based on their psychological test scores using the Decision Tree and Random Forest algorithms. The dataset used in this study was taken from the student academic record at Institut Teknologi Del, which includes years of psychological test scores and the Grade Point Average (GPA) from studying at the Institute. More specifically, the dataset used includes the 2019, 2020, and 2021 class years. However, there are gaps in the dataset used, including missing values and psychological test attributes such as TIU, TIU Category, Work Achievement, Work Tempo, Accuracy, and Consistency, which are unavailable in other datasets. This is shown in the correlation heatmap, which shows the level of correlation for each attribute, which is still classified as a very weak correlation. Therefore, we came up with two approaches. The first approach is to use as many records as possible (Analysis on records), and the opposite of the second is to take advantage of more features (Analysis based on features). The two approaches are compared to determine which performs better for the classification model. Our results show that studies that emphasize the use of records produce slightly better performance than analyses that emphasize features. In more detail, the random forest algorithm produces the best performance compared to the decision tree algorithm in each Analysis, the RMSE value is 0.4552, and the MAE value is 0.3514. Moreover, none of the psychological test attributes strongly correlate to GPA and hence do not guarantee student performance.
Analysis of Indigenious Vegetation Diversity in Urban Area of Bekasi Regency
Authors: Hakim Dani Lukman , Adji Riyanto , Satwhikawara Rachmi
Published: June 2024

The primary role of vegetation is to provide structural support for the surrounding ecosystem, while also contributing to the visual appeal of the road environment. The presence of Green Open Space (GOS) as a venue for sustaining the urban environment is inherently essential, owing to its substantial capacity to enhance both the qualitative and quantitative aspects of urban living. This study aimed to analyze the indigenous vegetation well-suited for developing GOS along road routes within the urban center of Bekasi Regency. The study utilizes a multi-faceted approach, including field surveys, and historical data comparison, to offer a comprehensive analysis of spatial and temporal variations in vegetation diversity. The analysis of vegetation diversity involved the quantification of canopy density, dominance frequency, important/historical value, function in landscape design, and habitat profile analysis of vertical and horizontal structures. These measurements collectively provided an assessment of the state of local vegetation that is being inventoried. The vegetation in Bekasi Regency, within both GOS and urban residential areas, generally meets satisfactory standards in supporting ecological functions. However, in specific residential locations, there remains a lack of diversity in local and rare vegetation. In summary, the study underscores the pressing demand for comprehensive conservation approaches that effectively harmonize development initiatives with the protection of indigenous biodiversity. The results of this study offer a pivotal asset for policymakers and environmental planners in crafting sustainable development strategies for Bekasi Regency.
Eco-Friendly Synthesis of Aluminium Nanoparticles from Rice Straw Extract: A Novel Approach to Combat Antimicrobial Resistance in Staphylococcus aureus and Escherichia coli
Authors: Gideon Mathew , Aliyu Dikko Nathan
Published: June 2024

This study presents an eco-friendly synthesis of aluminium nanoparticles (AlNPs) using rice straw extract (Rs-AlNPs) to address antimicrobial resistance. ATR-FTIR spectroscopy indicated the reduction and involvement of hydroxyl, alkane, overtone, and carbonyl groups in nanoparticle formation, evidenced by the disappearance of characteristic peaks. SEM analysis revealed Rs-AlNPs with an average diameter of 70-103 nm, predominantly spherical with slight agglomeration. EDX analysis confirmed aluminium as the predominant element (49.11%) with significant contributions from potassium (24.99%), magnesium (11.26%), and silicon (6.82%), consistent with rice straw composition. XRD analysis identified microcline (42%), enstatite (21%), quartz HP (16%), and osumilite (20%) as major crystalline phases, indicating a high aluminium content. Antimicrobial tests demonstrated dose-dependent efficacy against Staphylococcus aureus and Escherichia coli. For S. aureus, inhibition zones increased from 8.0 mm at 50 µg to 16.0 mm at 100 µg, while for E. coli, zones increased from 2.0 mm at 25 µg to 14.8 mm at 100 µg. These findings underscore the potential of Rs-AlNPs as effective antimicrobial agents and highlight a sustainable approach to nanoparticle synthesis using agricultural waste, offering a viable solution to combat antimicrobial resistance.
Chemoselective silver-catalyzed nitrene transfer: Tunable syntheses of azepines and cyclic carbamimidates
Authors: Schroeder Emily , Lin Chenxi , Dai Zhenyao , Griffin Amory , Hotvedt Thomas , Guzei Ilia , Schomaker Jennifer
Published: June 2024

Azepines and their saturated azepane counterparts are important moieties in bioactive molecules but are underrepresented in current drug screening libraries. Herein, we report a mild and efficient azepine formation via silver-catalyzed dearomative nitrene transfer. A 2,2,2-trichloroethoxysulfonyl (Tces)-protected carbamimidate nitrene precursor, coupled with the appropriate ligand for silver, is essential for achieving the unexpected chemoselectivity between arene dearomatization and benzylic C(sp3)–H amination. Potential applications in the late-stage diversification of azepines to complex molecular scaffolds and diastereoselective hydrogenations to high Fsp3 azepanes are also highlighted.
A deamination-driven biocatalytic cascade for the synthesis of ribose-1-phosphate
Authors: Motter Jonas , Westarp Sarah , Barsig Jonas , Betz Christina , Dagane Amin , Kaspar Felix , Neumair Lena , Kemper Sebastian , Neubauer Peter , Kurreck Anke
Published: June 2024

Ribose-1-phosphate (Rib1P) is a key substrate for the synthesis of difficult-to-access nucleoside analogues by nucleoside phosphorylases. However, its use in preparative synthesis is hampered by low yields and low selectivity during its preparation by conventional methods. Although biocatalysis permits straightforward access to Rib1P directly from natural nucleosides, these transformations are tightly thermodynamically controlled and suffer from low yields and non-trivial work-up procedures. To address these challenges, we developed a biocatalytic cascade that allows near-total conversions of natural guanosine into α-anomerically pure Rib1P. The key to this route is a guanine deaminase, which removes the accumulated guanine byproduct. Under optimised conditions, this cascade proved readily scalable to the gram scale, delivering isolated yields of up to 79% and a purity of 94% without any chromatography. Our cascade approach reduced the need for toxic reagents and purification steps inherent to previous methods, reducing the environmental burden of the route, as confirmed by CHEM21 Zero Pass and E-factor calculations. Thus, our work will broadly strengthen the applicability of nucleoside phosphorylase-mediated chemistry.
Escenarios y modalidades de la visibilidad y participación política de mujeres originarias en artículos periodísticos (Argentina, 2000-2019)
Authors: Cebrelli Alejandra
Published: June 2024

El trabajo pretende contextualizar y marcar hitos (momentos) en los procesos de emergencia de las mujeres wichi, qom, guaraní y koya en diversos escenarios históricos, legibles en artículos publicados en medios gráficos de referencia dominante en Argentina. Se trata de narrativas del yo fragmentarias, fruto de complejos contratos de interlocución que permiten leer, de manera sesgada, historias otras en las voces de mujeres de pueblos originarios, ignoradas o acalladas que, a lo largo de las dos primeras décadas del siglo XXI, han podido hacerse escuchar con diversas estrategias, de acuerdo con las diferentes coyunturas como así también con las líneas y encuadres de cada medio. Por lo mismo, dan cuenta de formas de visibilidad que van de la cosificación al silenciamiento, de la apropiación a la donación de la palabra, de la estetización al estigma como resultado de negociaciones, no siempre conscientes, para tomar la propia voz y la propia imagen en el espacio público desde un rol no siempre marcado genéricamente. Cada escenario pone en evidencia modalidades de participación  política que da cuenta tanto de las formas de protagonismo femenino en esas comunidades en tensión con las estrategias de participación en el espacio público en coyunturas tendientes a un modelo de país populista o neoliberal.
Último Estado do Campo
Authors: Stella Marcello Giovanni Pocai
Published: June 2024

Este artigo busca através da pesquisa de trajetórias pessoais e profissionais de autore(a)s brasileiro(a)s contemporâneo(a)s, estreantes em prosa ficcional (conto, crônica e romance) entre 1988 e 2015, compreender as dinâmicas e lógicas do polo de circulação restrita do campo literário brasileiro na virada do século XX para o século XXI. A partir do caminho percorrido pela pesquisa proponho que tal polo do campo literário encontra-se fortemente influenciado por lógicas econômicas advindas do polo mais comercial da literatura. Promovendo em seu interior o surgimento de posições duplas de autore(a)s e editoras, em outras palavras, autore(a)s e editoras são constantemente levados a se utilizar de estratégias mais comerciais para se promover mesmo entre seus pares mais eruditos, não podendo prescindir delas Ã  revelia muitas vezes de seus interesses.
A construção imagética do índio e a prática fotográfica contemporânea
Authors: Amaral Micael , Oliveira Marília
Published: June 2024

As fotografias que se seguem resultaram das viagens realizadas Ã  aldeia Tukum, território indígena Tupinambá de Olivença, nos anos de 2017 e 2018. Elas foram construídas de forma pactuada com a comunidade indígena no propósito de narrar uma pequena parte do cotidiano da aldeia. Buscou-se por uma estética e narrativa que demostrasse o envolvimento dos índios com a mata, representado pelas crianças, mulheres e homens camponeses empoderados e politicamente engajados, guiados pelos seus ancestrais, cuja cultura e luta se relacionam intrinsecamente com a terra. Essas imagens podem ser pensadas como um dos vetores possíveis, somados aos outros mecanismos próprios de interpretação da consciência étnica e cultural indígena. É uma produção fotográfica compartilhada, fruto de vivências e trocas intencionadas no reconhecimento das indianidades do povo Tukum.
Amores aos Montes:
Authors: Kessler Claudia , Zola Juliê Makumbi Pontes , Zanini Maria Catarina Chitolina
Published: June 2024

Este artigo realiza uma reflexão sobre o amor romântico na sociedade ocidental contemporânea, tendo em vista questões que se referem ao amor, ao consumo, suas significações e implicações. São analisados valores e práticas sociais que influenciam namaneira como são estabelecidas as relações de amor, suas expectativas e desfechos possíveis. Por meio da análise dos atos de um espetáculo de rua produzido pelo grupo Teatro Por Que Não? de Santa Maria (RS), dividida em quatro atos, objetiva-se refletir acerca de como amor e consumo se intercruzam na sociedade contemporânea e quais as implicações destas dinâmicas.
Analysis of structures and movement parametres of self-climbing platforms and development prospects
Authors: Krupenin F. R. , Kurakina E. V.
Published: June 2024

Introduction. For high-rise building construction self-climbing platforms based on hydraulic drive are used, lifting the formwork for monolithic structures. These lifting mechanisms differ in structures, characteristics and parameters. There is a need to introduce high-tech equipment in the industry. To create self-climbing platforms for high-rise construction, it is necessary to conduct research in the field of operation of lifting vehicles.

Materials and methods. Platforms based on climbing profile for the analysis were used. The design features of the specified type of platforms were considered. The main parameters were speed of lifting, maximum lifting height and load capacity.

Results. Graphical data on the main structural elements and the lifting process were obtained the specified type of platforms. Graphical data on hydraulic system is provided and the mechanism of movement is considered in detail. The basic formulas for determining the platform lifting speed and maximum load capacity required for the choosing of specified lifting vehicles.

Discussion and conclusion. Existence of factors affecting the lifting speed of platforms and their maximum load capacity provides grounds for the development of a method for calculating and designing the considered transport and technological equipment in Russian Federation. One of the ways to develop this lifting equipment is integration of accessory mechanisms into their structure for fulfilling additional works during the construction of high-rise buildings, in this way forming a single transport and technological complex.
Smart and Intelligent Weather Adaptive Street Lighting System Using IoT
Authors:   Professor, Department of Electrical & Electronics Engineering, Sengunthar Engineering College (Autonomous), Tamil Nadu, INDIA, D Sathiyaraj
Published: June 2024

In this paper, an Internet of Things (IoT)- based smart and intelligent weather-adaptive street lighting system containing an Arduino UNO, an ESP 8266, an LDR, a voltage sensor, a current sensor, a PIR, a relay, and a mobile or web application is designed and implemented. This project's primary goal is to create an intelligent and adaptable street lighting system that will guarantee constant lighting for rural residents. This project is to minimize the electricity losses, reduce the manpower used in manually switching on-off the street lights and & energy cost. There are three primary parts to the system: An Arduino NANO, ESP 8266 is a Wi-Fi module for signal transfer and a smart phone that can operate web page servers. These days, consumers are searching for smart systems that require less maintenance and use less energy. This intelligent street light only turns on when needed, and it continues to run on its own subsequent evenings even in the absence of sunlight. Furthermore, an Arduino NANO was used to include a PIR sensor, which detects motion and turns on the lights to bright mode by turning on more lights. Taking those factors into account, these smart streetlights are equipped with an Internet of Things (IoT) powered adaptive system that can detect malfunctions and send message to parent system.
A Study on Difficulties Faced by Entrepreneurs While Exporting Products with Reference to Erode District
Authors:   Assistant Professor, Department of Master of Business Administration, Sengunthar Engineering College (Autonomous),  Ph.D. (Part-Time) Research Scholar, Department of Management Studies, Periyar University, Salem, INDIA, Maheswari Uma , V.R. Dr.Palanivelu ,   Professor and Head, Department of Management Studies,  Periyar University, Salem, INDIA
Published: June 2024

Difficulties faced while exporting are challenging and can delay the exporting process a lot, because of which the importer can easily switch to another exporter, even though having experience of exporting of more than 5year with frequency of regular export, major difficulties faced by exporters are complex Export procedure as the export procedure includes some of the complex paper-work sometime the quality also played major role in export as the standard set by the importing country does not match exported goods quality. Language was also one of the barriers for communication which leads to misleading of information’s. Letter of credit and documents against payment was most trusted method of payment of majority of the respondents, for the respondents who exports raw material are not more affected with cultural difference whereas exporters with finished goods are affected with cultural difference.
La medicina social y las ciencias sociales en América Latina: tensiones conceptuales para la transformación de la salud pública en el siglo XX
Authors: Castro Arachu
Published: June 2024

El desarrollo de la salud pública en América Latina durante el siglo XX combin , desde el principio, el marco de la medicina social sobre los or genes sociales, pol ticos y ambientales de la enfermedad con los aportes del trabajo de campo de la antropolog a m dica. A pesar de la hegemon a del modelo m dico, el surgimiento del marco de la medicina preventiva legitim a n m s la participación de los cient ficos sociales en el estudio de la multicausalidad de la enfermedad. Sin embargo, las limitaciones que trajo consigo la falta de contextualización hist rica y pol tica del modelo de la medicina preventiva dieron paso al movimiento latinoamericano de medicina social, basado en el materialismo hist rico, y al desarrollo tanto de la epidemiolog a cr tica como de la antropolog a m dica cr tica.
Career barriers of female education administrators: Systematic review and a qualitative meta-synthesis
Authors: Asena Yücedašlar , N. Bilge Uzun , Cenk Akay , Yusuf İnandi
Published: June 2024

In many societies, women are assigned missions such as being a good mother, a good wife, an unpaid domestic worker, a child caregiver and an emotional person. These missions attributed to women may prevent them from revealing their potential and talent in the workplace. Undoubtedly, though these roles, assigned to women by society, are attempted to be explained with glass ceiling and gender stereotypes, these inequalities against women could be related to many more complex historical, social, political, and cultural factors. This study aims to reveal and discuss the career barriers experienced by female education administrators. A qualitative meta-synthesis method was employed in this study through a systematic review of 21 studies included in the analysis. ENTREQ-PRISMA statements and CASP protocol were used to improve the reporting of systematic review and qualitative meta-synthesis. As a result of this systematic review, the career barriers experienced by female education administrators clustered under four themes, including family-related barriers, organizational structure-related barriers, women's self-imposed psychological barriers, and social structure- related barriers.
Secondary school students' dropout risk: A study of mixed methods
Authors: Duygu Seyma Avsar , Cenk Akay , Haci Ismail Arslantas
Published: June 2024

The aim of this study is to determine the dropout risk levels of secondary school students and to contribute to the literature by making suggestions to researchers according to the results obtained. For this reason, the research was carried out using the mixed method. For this purpose, the School Dropout Risk Scale was prepared by quantitative methods, and the sample was determined by simple random sampling method. In the qualitative method, a semi-structured interview form was prepared and the sample was determined with maximum diversity sampling. In quantitative data analysis; gender, class repetition, absenteeism status, t-test for the student's work status variable and Anova were used for the school achievement variable. According to the results of the research, it has been determined that the risk levels of secondary school students leaving school are at an intermediate level across the scale and in the lower dimensions of the scale. It was found that all the variables included in the study caused a change in the risk of dropping out of school. According to the students' opinions, peer bullying, low socioeconomic status of the family, lack of interest in school, family pressure for the student to drop out of school, the administration giving unfounded punishments to students, insufficient school resources lead to reasons for dropping out.
Research on the Campus Cultural Landscape of the Tibetan-Yi Corridor: Taking the Middle and Primary Schools in Meigu County of Liangshan Yi Autonomous Prefecture as an Example
Authors: Wang Xueli , Dong Hangchuan , Pan Xi , Yu Siwei
Published: June 2024

In view of rural revitalization, the Meigu area, as a key region of the Tibetan-Yi Corridor, faces challenges in educational development and the construction of campus cultural landscapes. Campus landscape culture, as the foundation of campus culture, is one of the important factors affecting the quality of campus education. Integrating traditional cultural elements such as Yi patterns and totems into the design can effectively enhance the aesthetic of the campus, promote the local ethnic characteristic culture, and inject new vitality into rural revitalization. Therefore, this paper applies traditional Yi cultural elements to the design of campus cultural landscapes. This is of great significance for improving the rural school environment and enhancing students’ enthusiasm for learning and cultural identity. Besides, it provides an alternative for the preservation and development of local culture.
Analysis of Detection and Monitoring Technology in the Construction and Maintenance of Large Bridges
Authors: Xiang Shengzhong , Su Qin , Zhang Shili
Published: June 2024

Currently, there is significant attention placed on the construction, management, and maintenance of large service bridges. Within the realm of bridge maintenance management, the utilization of detection and monitoring technology is indispensable. By employing these technologies, we can effectively identify any structural defects within the bridge, promptly uncover unknown risks, proactively establish maintenance strategies, and prevent the rapid deterioration of bridge conditions. This article aims to explore the advantages of applying bridge monitoring and testing technology and to discuss various methods for implementing detection and monitoring technology throughout the construction, management, and maintenance phases of large bridges. Ultimately, this will contribute to ensuring the safe operation of large bridges.
Analysis of Roadbed Pavement Designs for Highway Reconstruction and Upgrading
Authors: Ding Haonan , Yang Zhipan , Gan Wei
Published: June 2024

This paper focuses on the route and roadbed pavement design in highway reconstruction and upgrading projects. It discusses the importance of project design for highway reconstruction and upgrading, highlighting key aspects of route design and roadbed pavement design. The analysis reveals that the main design considerations in these projects include controlling factors of route reconstruction, expansion, and upgrading, as well as route plan design and longitudinal section design combined with roadbed pavement. In roadbed pavement design, it is crucial for designers to thoroughly collect existing data and make reasonable use of the current roadbed and pavement to develop a comprehensive design scheme. This analysis aims to provide a reference for the reasonable design of such projects.
Expression and Clinical Significance of CMTM6 and PD-L1 in Colorectal Cancer
Authors: Shi Zhe , Zhou Liyuan
Published: June 2024

Objective: To study the expression of CMTM6 in colorectal cancer tissues and explore its relationship with tumor stage, lymph node metastasis, and prognosis. Methods: All patients underwent surgical resection and histopathological examination, and the collected tissue specimens were pathologically classified and divided into 41 cases in the cancer group and 75 cases in the paracancerous group to observe and analyze the expression of CMTM6 and PD-L1. Results: There was no statistically significant difference in the comparison of gender, age, disease duration, and other data between the two groups (P > 0.05); the high expression rate of CMTM6 in the tissues of the cancer group and the 2 groups of the paracarcinoma group was 82.93% and 1.33%, respectively, with statistically significant differences (P < 0.05), and the high expression rate of PD-L1 in the tissues of the cancer group and the 2 groups of the paracarcinoma group were 85.37% and 8.00%, respectively, with statistically significant differences (P < 0.05). The relationship between high expression of CMTM6 and PD-L1 and tumor diameter, differentiation degree, distant metastasis, and lymphatic metastasis was not statistically significant when compared between groups (P > 0.05). Conclusion: CMTM6 and PD-L1 are one of the factors predicting poor prognosis of colorectal cancer, and can be used as one of the reference indexes for treatment selection of colorectal cancer patients.
DA-SEIN E LIBERDADE EM HEIDEGGER
Authors: Santos Silva Carlos César
Published: June 2024

Este artigo busca discutir a filosofia de Martin Heidegger no que tange ao tema pre-sença e liberdade a partir da obra Ser e Tempo. A apresentação de nossa pesquisa se dá de modo a compreender o tema do sentido do ser e sua estrutura ontológica de modo a apreender a questão do ser como abertura de um poder-ser compreensivo. Num momento posterior a esse retomamos a estrutura ontológica do ser a partir do horizonte da temporalidade que se demonstra como o horizonte no qual o sentido do ser se dá. Em seguida tratamos da liberdade do ser no mundo, que é pre-sença, como um poder-ser livre e responsável que assume o seu projeto de ser no seu modo de ser mais próprio, ser-para-morte. A pre-sença livre vai se monstrar como aquela que assume a sua possibilidade mais própria e se responsabiliza pelo seu projeto de ser.
A DECLARAÇÃO DA ARTE COMO EXPERiÊNCIA DE VERDADE EM GADAMER
Authors: Pegado Antonio , Ferreira da Silva Júnior Almir
Published: June 2024

Em seu propósito de repensar a relação entre verdade e método, a hermenêutica filosófica retoma o problema filosófico da compreensão, privilegiando como referência nuclear a experiência de verdade da arte como um acontecimento ontológico, cuja singularidade amplia a construção de saber sobre a realidade humana e dirige uma crítica ao modelo metodológico da racionalidade científica moderna. O objetivo deste artigo é analisar o caráter de abertura ontológica da arte enquanto experiência de verdade e formação humana, considerando a natureza de sua linguagem declarativa e o modo de ser do seu próprio desvelamento (aletheia). Enquanto expressão de finitude, como a declaração da arte, em seu vir-à-fala, é determinante para uma hermenêutica da formação? Apresenta-se a explicitação da declaração atualizada da arte em seu caráter de verdade ontológica como experiência de jogo, símbolo e festa. Destaca-se a relação hermenêutica entre arte e formação ressaltando a experiência hermenêutica da arte em seu horizonte de abertura, interação dialógica e ampliação de perguntas de sentido acerca da realidade existencial humana.
A ANGÚSTIA NA OBRA LITERÁRIA DE HARUKI MURAKAMI A PARTIR DE UMA LEITURA FILOSÓFICA E PSICANALÍTICA
Authors: Da Silva Santos Ferreira Marcos Antonio
Published: June 2024

Essa pesquisa teve como proposta realizar um estudo acerca da angústia na obra do escritor Haruki Murakami (1949-), tendo como ponto de apoio secundário a teoria de Sigmund Freud (1858-1939) da angústia. Visamos, com esse estudo, lançar luz sobre a literatura como modelo de leitura da vida humana, em nosso caso, uma leitura das angústias humanas a partir da literatura. Para isso, iremos abordar o próprio gênero literário em que a obra de Murakami está circunscrita, os principais conceitos que dão suporte a esse caráter angustiante, presentes no texto murakamiano, e a influência de concepções e ideias filosóficos em sua obra. Como por exemplo, a teoria da Vontade de Arthur Schopenhauer (1788-1860) e a ideia do lugar do pensamento, postulado por Hannah Arendt (1906-1975) no quarto capítulo da obra “A vida do espírito".
MEMÓRIAS DA DOCÊNCIA: SENTIDOS E PERCEPÇÕES SOBRE PRÁTICAS EDUCATIVAS NO DELTA DO RIO PARNAÍBA (1980-1990)
Authors: Costa dos Santos José Marcelo , Ferro Maria do Amparo Borges
Published: June 2024

Este estudo contempla memórias, práticas e significados da docência em povoados ribeirinhos do Delta do Rio Parnaíba, no recorte de 1980 a 1990. O objetivo geral da pesquisa é analisar aspectos de práticas pedagógicas docentes em contextos ribeirinhos no Delta do Rio Parnaíba, a partir de memórias de professoras aposentadas. Especificamente, buscamos: caracterizar a prática pedagógica docente de professoras na região de Ilha Grande de Santa Isabel, no período de 1980 a 1990; identificar dificuldades e desafios enfrentados pelas docentes ribeirinhas; apresentar perspectivas sobre os sentidos e significados da docência. Trata-se de uma pesquisa histórica, de abordagem qualitativa, no viés metodológico da História Oral. A técnica empregada foi o relato de história oral de vida, uma adaptação da entrevista de história oral, tendo como colaboradoras duas professoras aposentadas. A base teórica se ampara, dentre outros, em autores como: Brandão (2007), Franco (2016; 2015), Freire (1999), Hablbwachs (2013), Meihy (2005), Zabala (1998). A pesquisa mostrou que a prática das professoras que atuaram em Ilha Grande de Santa Isabel, no período de 1980 a 1990, se configurou como um processo de travessias, marcado por dificuldades, desafios, realização profissional e práticas educativas que mudaram e marcaram vidas.