bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gravidez na adolescência: o impacto do planejamento familiar na realidade socioeconômica
Authors: Oliveira Arthur Machado , Borges Joyce da Silva , Santos Ana Cristina Doria dos 
Published: February 2023

Objetivo: Analisar as principais abordagens sobre os impactos socioeconômicos no planejamento familiar decorrente da gravidez na adolescência. Metodologia: Nesse estudo, optou-se por fazer uma revisão narrativa da literatura para identificar os estudos realizados sobre a gravidez na adolescência, designada para adolescentes de 12 a 18 anos, suas causas e consequências e as ações da equipe de saúde na prevenção da gravidez não planejada na adolescência. Resultados E Discussão: Foram escolhidos 9 artigos na plataforma Scientific Electronic Library online (Scielo) ,6 na Literatura Latino – Americana e do Caribe de Ciências da Saúde (LILACS) e 16 na Medical Literature Analysis and Retrievel System Online (Medline). Além de repercussões sociais e sobre a saúde da gestante, também retrataram sobre o prejuízo aos recém-nascidos. Conclusão: A importância a prevenção da gravidez adolescência, que na maioria das vezes é indesejada e traz consequências negativas a adolescente, criança e contexto familiar. O estudo permitiu compreender como principais fatores para a gravidez na adolescência a situação financeira vulnerável, baixa escolaridade, raça negra ou parda, falta da figura paterna, e, com histórico familiar de mãe também com gestação na adolescência.
INFORMATION RETRIEVAL (IR) PENCARIAN IDE POKOK DALAM TEKS ARTIKEL OLAHRAGA BERBAHASA INGGRIS MENGGUNAKAN METODE MMR (MAXIMUM MARGINAL RELEVANCE)
Authors: Malik Kamil , Jasri Moh , Mashuri Ahmad Sanusi 
Published: February 2023

Pengenalan wajah merupakan suatu teknologi dari komputer untuk mengidentifikasi wajah seseorang pada suatu gambar maupun video. Banyak metode yang bisa digunakan untuk pengenalan wajah antara lain metode fisherface, local binary pattern histogram, dan eigenface. Peneliti sebelumnya menerapkan pengenalan wajah menggunakan metode eigenface untuk mengidentifikasi wajah mahasiswa di Universitas Nurul Jadid. Akan tetapi, metode eigenface hanya fokus pada citra dengan objek tidak bergerak, sehingga belum bisa diterapkan pada video. Untuk itu, pada penelitian ini diusulkan suatu metode yang dapat mengidentifikasi wajah pada video yaitu metode haar cascade dan deep learning. Metode haar cascade merupakan suatu metode yang dapat mendeteksi posisi letak wajah pada suatu video dan metode deep learning untuk mengenali wajah yang sudah terdeteksi pada video. Hasil uji coba yang dilakukan metode haar cascade dapat mendeteksi adanya wajah pada video secara baik. Akan tetapi metode haar cascade juga mendeteksi yang bukan wajah pada data testing. Hasil dari uji coba pada gambar dengan metode haar cascade dan deep learning teridentifikasi secara benar dengan tingkat akurasi 99,6%. Hasil uji coba metode haar cascade dan deep learning pada video mahasiswa berhasil dilakukan jika komposisi warna dan tingkat cahayanya sama dengan data training dan jika tidak sesuai dengan data training maka tidak berhasil mengidentifikasi wajah mahasiswa pada video secara benar.
Rancang Bangun Sistem Monitoring Absensi Dan Pelanggaran Siswa Berbasis Web Dan Bot Telegram
Authors: Faid Mochammad , Oktavianti Shely , Rudiyantono Mokhammad 
Published: February 2023

Absensi dan pelanggaran siswa sering kali menjadi masalah yang harus segera diselesaikan karena jika tidak ditangani dengan baik maka kedisplinan dan juga rasa tanggung jawab tidak akan terbentuk kepada siswa. Dalam penelitian ini penulis mencoba membuat sebuah sistem untuk memonitoring terkait absensi siswa dan pelanggaran siswa yang memanfaatkan fitur dalam Telegram Bot-API(robot telegram) yang bisa membantu pihak sekolah untuk memantau anak didiknya sehingga mutu dari tiap siswa dapat ditingkatkan. Dimasa pandemi yang masih meraba Indonesia ini, bentuk pembelajaran yang masih menerapkan sistem daring (dalam jaringan) setidaknya memerlukan berbagai upaya untuk mempermudah proses yang terjadi di dalamnya. Di aplikasi Bot-Telegram yang dibuat oleh penulis kali ini, dapat membantu/mempermudah seorang guru dalam mengabsensi siswanya.Guru dapat langsung melakukan absensi melalui aplikasi Bot-API(robot telegram) dan akan langsung dapat tersimpan ke database. Aplikasi Telegram dipilih karena aplikasi ini gratis, ringan dan multiplatform dengan Bot API(robot telegram) yang cukup lengkap dan makin berkembang. Segala bentuk respon sudah dirancang dinamis dengan memanfaatkan sumber daya yang ada, dan sudah dibuat dalam penelitian ini sebagai prototype dengan beberapa perintah.
Klasifikasi Pemberian Bantuan Kepada Masyarakat Terdampak Covid-19 Dengan Menggunakan Al-Goritma C4.5 Didesa Demung Kemacatan Besuki Kabupaten Situbondo
Authors: Muafi Muafi , . Irfan Ardiansyah , . Hasan Basori 
Published: February 2023

Masyarakat Indonesia mengalami ekonomi yang sulit diakibatkan oleh Covid19, untuk mengatasi masalah pemerintah memberi bantuan kepada masyarakat terdampak pandemi Covid19. Desa Demung Kecamatan Besuki Kabupaten Situbondo, juga termasuk wilayah yang cukup memperhatinkan, dalam kenyataan situbondo sudah masuk kedalam zona hitam, sehingga banyak masyarakat situbondo yang terdampak oleh covid19, adapun tujuan penelitian adalah membuat pohon keputusan yang bisa dijadikan penentuan penerimaan bantuan, adapun data yang digunakan didapat dari kantor desa demung kecamatan besuki kabupaten situbondo, dengan menggunakan Algoritma C4.5 yang menggunakan tools datamining yaitu weka, hasil dari penelitia ini didapat rule atau pohon keputusan C4.5, dengan akurasi yang terbaik 90% training dan 10% testing, dengan nilai akurasi 74.09%
Optimasi Metode Naïve Bayes Menggunkanan Algoritma Particle Swarm Optimization (Pso) Untuk Prediksi Penyakit Diabetes Mellitus
Authors: Sukron Moh. , Supriadi Ahmad , Sulton Rizal 
Published: February 2023

Deabetes Mellitus merupakan salah satu penyakit dimana terdapat tingkat kadar gula (glukosa) yang tinggi didalam darah dalam kontek defisiensi insulin relatif dan resistensi insulin. Diabetes Mellitus sulit untuk diprediksikan. Dengan pemannfaatan database pasien, peneliti mencoba mengolah variabel pasien Deabetes Mellitus dalam medapatkan akurasi prediksi penyakit Diabetes Mellitus dengan memanfaatkan data mining. Metode yang digunakan adalah Naive Bayes, namun metode Naïve Bayes memiliki kelemahan yaitu hasil probabilitas kurang berjalan seara optimal dan sering salah pada atribut. Guna mengatasi kelemahan Naïve Bayes, salah satu cara yaitu dengan metode pembobotan atribut menggunakan algotima Prticle Swarm Optimization (PSO). Hasil penelitain menunjukkan akurasi metode naïve bayes menghasilkan akurasi sebesar 86,80% dan Naïve Bayes dengan Particle Swarm Optimization (PSO) menghasilkan akurasi 89,84%. Dari hasil tersebut dapat disimpulkan metode naive bayes yang di optimasi dengan pembobotan atribut di dapatkan nilai akurasi yang lebih baik dengan peningkatan akurasi 3,04%.
Influence of non-genetic factors on first lactation and lifetime performance traits in Nili-Ravi buffaloes
Authors: Tamboli Pooja , Bharadwaj Anurag , Chaurasiya Amit Kumar , Jan Mustafa H. , Kumar Sanjay , Khanna Sudhir 
Published: February 2023

The objective of this research was to evaluate the effects of various non-genetic factors on first lactation and lifetime productivity in Nili-Ravi buffaloes, including season of birth, period of birth, age at first calving, season of first calving, period of first calving, and number of lactations completed. The livestock data on first lactation and lifetime performance traits relevant to 501 Nili-Ravi buffaloes were collected from the history sheet of the animal for a period from 1983 to 2017 (i.e., 35 years) and maintained at the Indian Council of Agricultural Research—Central Institute for Research on Buffaloes (ICAR-CIRB) sub-campus, in Nabha, Punjab, India. To evaluate the least-squares means (LSMs) and the effect of non-genetic factors on performance traits, a least-squares analysis model was applied. The overall LSM for age at first calving (AFC) was 45.03 ± 0.40 months and ranged from 34 to 54 months. The results indicated that the effect of AFC was highly significant (p ≤ 0.01) on first lactation total milk yield (FLTMY), first lactation standard milk yield (305 days or less) (FLSMY), first peak milk yield (FPY), and first lactation length (FLL) in the Nili-Ravi breed of buffaloes. FLTMY, FLSMY, and FPY were highest (2,250.08 ± 48.16 kg, 1,944.68 ± 31.20 kg, and 9.32 ± 0.16 kg/day, respectively) for animals with an AFC of 42–48 months. Furthermore, FLTMY, FLSMY, and FLL were highest (2,411.02 ± 68.68 kg, 2,008.81 ± 44.49 kg, and 357.43 ± 8.13 days, respectively) in animals that first calved in the autumn season. However, the lowest first dry period (FDP), first service period (FSP), and first calving interval (FCI) (110.63 ± 7.42 days, 125.48 ± 9.04 days, and 443.63 ± 9.00 days, respectively) were found for animals that first calved in the rainy season. The overall LSM for herd life (HL), productive life (PL), productive days (PDs), unproductive days (UDs), total lifetime milk yield (total LTMY), standard lifetime milk yield (standard LTMY), milk yield per day of productive life (MY/PL), milk yield per day of productive days (MY/PDs), and milk yield per day of herd life (MY/HL) were estimated as 3,779.84 ± 31.86 days, 2,078.55 ± 24.32 days, 1,552.74 ± 20.06 days, 525.81 ± 12.44 days, 10,229.71 ± 195.31 kg, 9,203.64 ± 173.52 kg, 4.86 ± 0.08 kg/day, 6.46 ± 0.08 kg/day, and 2.66 ± 0.04 kg/day, respectively. The effect of AFC on HL, PDs, UDs, total LTMY, and standard LTMY was highly significant (p ≤ 0.01). Furthermore, the effect of season of first calving on HL, PL, and PDs was significant (p ≤ 0.05). In addition, the effect of the period of first calving on HL, PDs, standard LTMY, and total LTMY was significant (p ≤ 0.05). In these contexts, it can be concluded that the buffaloes of the Nili-Ravi breed with an AFC of 42–48 months performed better than animals with a later AFC in terms of production, reproduction, and lifetime traits.
Role of amino acid metabolism in mitochondrial homeostasis
Authors: Li Qiaochu , Hoppe Thorsten 
Published: February 2023

Mitochondria are central hubs for energy production, metabolism and cellular signal transduction in eukaryotic cells. Maintenance of mitochondrial homeostasis is important for cellular function and survival. In particular, cellular metabolic state is in constant communication with mitochondrial homeostasis. One of the most important metabolic processes that provide energy in the cell is amino acid metabolism. Almost all of the 20 amino acids that serve as the building blocks of proteins are produced or degraded in the mitochondria. The synthesis of the amino acids aspartate and arginine depends on the activity of the respiratory chain, which is essential for cell proliferation. The degradation of branched-chain amino acids mainly occurs in the mitochondrial matrix, contributing to energy metabolism, mitochondrial biogenesis, as well as protein quality control in both mitochondria and cytosol. Dietary supplementation or restriction of amino acids in worms, flies and mice modulates lifespan and health, which has been associated with changes in mitochondrial biogenesis, antioxidant response, as well as the activity of tricarboxylic acid cycle and respiratory chain. Consequently, impaired amino acid metabolism has been associated with both primary mitochondrial diseases and diseases with mitochondrial dysfunction such as cancer. Here, we present recent observations on the crosstalk between amino acid metabolism and mitochondrial homeostasis, summarise the underlying molecular mechanisms to date, and discuss their role in cellular functions and organismal physiology.
Fabrication of novel oxochalcogens halides of manganese and tin nanocomposites as highly efficient photocatalysts for dye degradation and excellent antimicrobial activity
Authors: Umar Misbah , Mansoor Sana , Javed Mohsin , Hussain Nadia , Bajaber Majed A. , Iqbal Shahid , Alhujaily Ahmad , Mohyuddin Ayesha , Ajaz Humayun , Rauf Abdul , Bahadur Ali , Al-Fawzan Foziah F. , Elkaeed Eslam B. 
Published: February 2023

The dark brown and white crystals of manganese and tin (Mn2Se3Cl2O7 and SnSe3O4Cl) have been synthesized by solid-state reaction at 450 C. The morphology and the elemental analysis of newly synthesized compounds were studied by SEM and EDX Analysis. SEM analysis reveals that the particle size for Mn2Se3Cl2O7 was found to be 0.2–2.5 μm and for SnSe3O4Cl 2.0–6.0 μm. The EDX studies showed the presence of Mn, Se, O, Cl, and Sn elements. Powdered XRD confirmed the presence of a new phase present in these compounds. Under UV-vis irradiation, the kinetics of methylene blue (MB) degradation catalyzed by produced nanoparticles were monitored. The dye degradation efficiency was estimated, and results reveals that after 150 min of irradiation, almost 75% of the dye was degraded in the presence of Mn compound while 71% degradation was shown by Sn compound. Both composites display antimicrobial activity against Staphylococcus aureus and Escherichia coli with a maximum value of 34.5 mm. The maximum antimicrobial activity shown by Mn-incorporated nanocomposites estimated at 32.5 mm was against Gram-positive bacteria and 26.4 mm against Gram-negative bacteria. Similarly, the maximum antifungal activity shown by Sn incorporated estimated at 33.9 mm was compared to Gram-positive bacteria and 27.8 mm against Gram-negative bacteria.
Impact of biochar on the fungal decay resistance of hemp-polylactic acid composites against wood basidiomycetes
Authors: Zouari Mariem , Mikuljan Marica , Schwarzkopf Matthew 
Published: February 2023

Natural fibers reinforced composites represent a sustainable alternative to synthetic polymer-based materials. However, natural fibers are susceptible to fungal degradation which reduces the lifespan of the composites in use. The objective of this study was to investigate the effect of biochar (BC) on improving the resistance to fungal decay of polylactic acid (PLA) and hemp-PLA composites. The influence of incremental BC loadings (0, 5, 10, and 20 wt%) on physiological and morphological properties of the composites was evaluated. Weight loss, color stability, microscopic observations, and water contact angle measurements were performed during and after 5-months of exposure to white (Trametes Versicolor) and brown (Fomitopsis Betulina) rot fungi. We found that the addition of 10 wt% BC decreased the total weight loss in PLA and hemp-PLA composites by 93% and 34%, respectively in the case of exposure to white rot and by 66% and 83%, respectively in the case of exposure to brown rot as compared to neat PLA. BC addition improved the color stability of the composites. The color change in hemp-PLA samples loaded by 10 wt% of BC decreased by 44% and 37%, in the case of exposure to white and brown rots, respectively as compared to hemp-PLA reference. Moreover, samples containing BC (5 wt% and 10 wt%) had higher gloss after the decay test among all other samples. Micrographs revealed that white and brown rots invaded the surface of the composites at the beginning of the incubation period and then accessed the interior of the materials. Micro-cracks occurred in samples containing hemp fibers which enabled the fungi to invade the internal structure of the composites. At the same time, fungi grew on the surface of samples without hemp fibers except for PLA with 20% BC content which had a porous surface that allowed fungi to access the interior. The hydrophobicity of all samples increased during the first 3 months of the incubation and then decreased again by the end of the incubation as the surface of the composites started to be damaged. Our study provided a novel direction of BC as an organic additive in bio-composites. Uncovering the potential of BC in improving the resistance to fungal decay of natural fibers-reinforced composites paves the way for BC’s utilization as a renewable additive in various applications such as bio-based packaging materials.
A nomogram prediction model for lymph node metastasis risk after neoadjuvant chemoradiotherapy in rectal cancer patients based on SEER database
Authors: Liu Xiaoshuang , Sha Li , Huang Cheng , Kong Xiancheng , Yan Feihu , Shi Xiaohui , Tang Xuefeng 
Published: February 2023

BackgroundRectal cancer patients who received neoadjuvant chemoradiotherapy (CRT) may have a lower cancer stage and a better prognosis. Some patients may be able to avoid invasive surgery. It is critical to accurately assess lymph node metastases (LNM) after neoadjuvant chemoradiotherapy. The goal of this study is to identify clinical variables associated with LNM and to develop a nomogram for LNM prediction in rectal cancer patients following nCRT.MethodsFrom 2010 to 2015, patients were drawn from the Surveillance, Epidemiology, and End Results (SEER) database. To identify clinical factors associated with LNM, the least absolute shrinkage and selection operator (LASSO) aggression and multivariate logistic regression analyses were used. To predict the likelihood of LNM, a nomogram based on multivariate logistic regression was created using decision curve analyses.ReslutThe total number of patients included in this study was 6,388. The proportion of patients with pCR was 17.50% (n=1118), and the proportion of patients with primary tumor pCR was 20.84% (n = 1,331). The primary tumor was pCR in 16.00% (n=213) of the patients. Age, clinical T stage, clinical N stage, and histology were found to be significant independent clinical predictors of LNM using LASSO and multivariate logistic regression analysis. The nomogram was developed based on four clinical factors. The 5-year overall survival rate was 78.9 percent for those with ypN- and 66.3 percent for those with ypN+, respectively (P&lt;0.001).ConclusionPatients over 60 years old, with clinical T1-2, clinical N0, and adenocarcinoma may be more likely to achieve ypN0. The watch-and-wait (WW) strategy may be considered. Patients who had ypN0 or pCR had a better prognosis.
Hereditary predisposition to malignant myeloid hemopathies: Caution in use of saliva and guideline based on our experience
Authors: Perani Alexandre , Bourthoumieu Sylvie , Rizzo David , Chauzeix Jasmine , Dauriat Benjamin , Turlure Pascal , Girault Stéphane , Veyrune Léa , Roubinet Maxime , Feuillard Jean , Yardin Catherine , Gachard Nathalie 
Published: February 2023

BackgroundPredisposition to myeloid malignancies is a field at the border of hematology and genetics. Knowledge in this domain has so rapidly increased that WHO defined in 2016 the new “Myeloid Neoplasms with Germline Predisposition” category of tumors. High throughput sequencing is frequently performed in tumors either for diagnosis or prognosis, but this approach may identify potential germline variants that have to be confirmed on non-infiltrated tissues.MethodIn this study, we systematically compared NGS data from genetic analysis performed on all sample types (bone marrow, blood, saliva, skin fibroblasts and hair follicles) in 29 patients, and 44 of their relatives (blood and saliva).ResultsWe showed that saliva was usable for relatives, but only for 24% (7/29) of our patients. Most of patients’ saliva were either “non-contributive” (14/29 i.e., 48% because clearly or probably infiltrated) or “inconclusive” (8/29 corresponding to 28%).ConclusionThe recommendations for the use of saliva we present here focus on the importance of collecting saliva during remission when possible. Moreover, we propose hair follicles as an alternative to skin biopsy, that remains the gold standard especially in case of allogenic hematopoietic stem cells transplantation. Technological progresses have revolutionized the diagnosis of predisposition to solid or hematological malignancies, and it is very likely that new techniques will help to manage the familial predisposition in the future.
Predictive values of clinical data,molecular biomarkers, and echocardiographic measurements in preterm infants with bronchopulmonary dysplasia
Authors: Wang Huawei , Yan Dongya , Wu Zhixin , Geng Haifeng , Zhu Xueping , Zhu Xiaoli 
Published: February 2023

ObjectiveWe aimed to use molecular biomarkers and clinical data and echocardiograms that were collected during admission to predict bronchopulmonary dysplasia (BPD) in preterm infants with gestational age ≤32 weeks.MethodsEighty-two patients (40 with BPD, BPD group and 42 healthy as controls, non-BPD group) admitted to the Department of Neonatology of the Children's Hospital of Soochow University between October 1, 2018, and February 29, 2020, were enrolled in this study at the tertiary hospital. Basic clinical data on the perinatal period, echocardiographic measurements, and molecular biomarkers (N-terminal-pro-B-brain natriuretic peptide, NT-proBNP) were collected. We used multiple logistic regression analysis to establish an early predictive model for detecting BPD development in preterm infants of gestational age ≤32 weeks. We also used a receiver operating characteristic curve to assess the sensitivity and speciﬁcity of the model.ResultsNo significant differences were found between the BPD and non-BPD groups in terms of sex, birth weight, gestational age, incidence of asphyxia, maternal age, gravidity, parity, mode of delivery, premature rupture of membranes &gt;18 h, use of prenatal hormones, placental abruption, gestational diabetes mellitus, amniotic fluid contamination, prenatal infections, and maternal diseases. The use of caffeine, albumin, gamma globulin; ventilation; days of FiO2 ≥ 40%; oxygen inhalation time; red blood cell suspension infusion volume (ml/kg); and proportion of infants who received total enteral nutrition (120 kcal/kg.d) ≥24 d after birth were higher in the BPD group than in the non-BPD group. The levels of hemoglobin, hematocrit, and albumin in the BPD group were significantly lower than those in the non-BPD group. The total calorie intake was significantly lower in the BPD group on the 3rd, 7th, and 14th day after birth than in the non-BPD group (P &lt; 0.05). The incidence rates of patent ductus arteriosus (PDA), pulmonary hypertension, and tricuspid regurgitation were significantly higher in the BPD group than in the non-BPD group (P &lt; 0.05). The serum level of NT-proBNP 24 h after birth was significantly higher in the BPD group than in the non-BPD group (P &lt; 0.05). Serum NT-proBNP levels were significantly higher in infants with severe BPD than in those with mild or moderate BPD (P &lt; 0.05).ConclusionAs there were various risk factors for BPD, a combining clinical data, molecular biomarkers, and echocardiogram measurements can be valuable in predicting the BPD. The tricuspid regurgitation flow rate (m/s), NT-proBNP (pg/ml), ventilator-associated pneumonia, days of FiO2 ≥ 40% (d), red blood cell suspension infusion volume (ml/kg), and proportion of infants who received total enteral nutrition (120 kcal/kg.d) ≥24 d after birth were the most practical factors considered for designing an appropriate model for predicting the risk of BPD.