Model: yodyamahesa/paper-recommendation-bgem3-kd
Author: yodyamahesa
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:12000, loss:CosineSimilarityLoss, arxiv:1908.10084, base_model:BAAI/bge-m3, base_model:finetune:BAAI/bge-m3, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-m3
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:12000, loss:CosineSimilarityLoss
base_model: BAAI/bge-m3
widget: source_sentence: the development of the food and beverage culinary industry is growing very rapidly. making food and beverage business owners, especially restaurants, have to make the right decision to stay in a very strong competition, restaurant owners must be ready to always innovate and remain to be able to meet consumer needs through products that can attract customers and determine strategies promotions that can boost sales. stored transaction data has information that can be extracted by data mining techniques, for example knowing the pattern of sales in purchases by consumers. information about sales patterns can be used by o! fish restaurants to create more potential promotional strategies to boost sales by referring to items (menus) that are often purchased together. . to be able to find out the purchase patterns by consumers simultaneously, knowing what products are often purchased simultaneously can be used data mining techniques using a priori algorithms. a priori algorithm is used to generate association rules. information about the association’s rules in purchasing items (menus) by consumers can be used by o! fish restaurants to create more potential promotional strategies to boost sales by referring to a combination of items that are often purchased simultaneously. later the results of this study are in the form of a website-based application to analyze purchasing patterns (item association rules) by consumers where the purchase pattern can be used as recommendations in determining the promotion development strategy for o! fish restaurants.
sentences: analysis of histopathology slides is a critical step for many diagnoses, and in particular in oncology where it defines the gold standard. in the case of digital histopathological analysis, highly trained pathologists must review vast whole-slide-images of extreme digital resolution (100,000^2 pixels) across multiple zoom levels in order to locate abnormal regions of cells, or in some cases single cells, out of millions. the application of deep learning to this problem is hampered not only by small sample sizes, as typical datasets contain only a few hundred samples, but also by the generation of ground-truth localized annotations for training interpretable classification and segmentation models. we propose a method for disease available during training. even without pixel-level annotations, we are able to demonstrate performance comparable with models trained with strong annotations on the camelyon-16 lymph node metastases detection challenge. we accomplish this through the use of pre-trained deep convolutional networks, feature embedding, as well as learning via top instances and negative evidence, a multiple instance learning technique fromatp the field of semantic segmentation and object detection., this paper develops recommendations for selecting and connecting three single-phase transformers as a neutral-deriving transformer bank to ground a 480v low-voltage power system supplied from a delta-connected source transformer. assumptions made are that the system has no 277v loads and the bank is used solely as a source of ground fault current., new normal atau normal baru merupakan suatu cara hidup baru atau cara baru dalam menjalankan aktivitas hidup di tengah situasi pandemi coronavirus disease 2019 (covid-19) yang sedang melanda dunia saat ini. hal ini diperlukan untuk menjawab masalah kehidupan selama pandemi, dan sebuah adaptasi manusia untuk mempertahankan hidupnya. menjawab tantangan di era new normal, di mana masyarakat dihantui perasaan kecemasan dan mulai timbul sikap apriori maka diperlukan hubungan interpersonal yang dapat menciptakan nilai-nilai bertoleransi, simpati, dan empati. dalam hal inilah diperlukan pemimpin yang mampu menggerakkan dan mengarahkan semua anggotanya dalam satu ritme yang selaras. pemimpin yang berani hadir terdepan memberikan teladan di tengah-tengah masyarakat. berani menindak dengan tegas setiap pelanggaran protokol kesehatan, dan tentunya senantiasa memperhatikan kesejahteraan masyarakat. berkenaan dengan hal tersebut, maka seorang pemimpin dapat mengaktualisasikan ajaran asta brata dalam kitab rāmāyaṇa untuk menjawab tantangan bagi pemimpin di era new normal ini., source_sentence: kesadaran masyarakat akan kesehatan sudah semakin tinggi, begitu pula mengenai makanan dan minuman. susu merupakan salah satu minuman yang bermanfaat untuk tubuh dan kesehatan manusia, yang terbentuk dari olahan gizi hewan diantaranya berasal dari sapi perah yang mengandung protein dan kalsium yang dapat menjaga kesehatan gigi dan tulang. mengingat bahan bersangkutan berbentuk cairan maka konsekuensinya yaitu sukar untuk diketahui kemurniannya secara kasat mata, terutama yang berada dipasaran. susu mudah dipalsukan dengan cara dipalsukan dengan menambahkan bahan lain. atas dasar informasi terdahulu, adalah sangat layak dicari suatu model kearah penetuan kondisi kemurniaannya. pada penelitian ini penulis bertujuan untuk mengidentifikasikan kemurnian pada susu sapi dengan cara melihat dari hasil rekaman video tetesan bulir-bulir susu sapi, dengan cara melihatnya frame by frame agar dapat menetukan jatuhnya bulir susu sapi per tetesan. deteksi yang akan dilakukan menggunakan metode discrete cosine transform (dct) dan klasifikasi dengan support vector machine (svm). discrete cosine transform adalah sebuah teknik yang digunakan untuk merubah sinyal menjadi komponen frekuensi dasar sedangkan svm sendiri adalah sebuah metode klasifikasi dengan tujuan menemukan hyperplane terbaik yang memisahkan kelaskelas yang ada. berdasarkan hasil skenario pengujian terhapad sistem identifikasi dan klasifikasi kemurnian susu sapi dengan parameter kecepatan jatuhnya bulir susu sapi,warna dan bentuk tetesan jatuh nya bulir susu sapi, hasil tertingggi untuk identifikasi bentuk adalah 82.5% dengan waktu komputasi 92.5589 detik dan identifiasi warna adalah 52.5% dengan waktu komputasi 5.1749 detik kata kunci: discrete cosine transform, support vector machine
sentences: daging sapi merupakan salah satu bahan makanan yang penting untuk memenuhi kebutuhan gizi salah satunya protein. nilai gizi daging sapi yang tinggi sangat bermanfaat bagi pertumbuhan manusia. dari kandungan tersebut, daging sapi merupakan salah satu bahan makanan yang populer di dunia terutama di indonesia. kualitas daging sapi bisa dilihat dari banyaknya marbling atau guratan-guratan putih yang tersebar pada daging dan nampak seperti membentuk pola marmer. semakin banyak marbling nya, semakin bagus kualitas suatu daging. marbling daging sapi sering dianggap sebagai indikator utama, namun saat ini, tidak ada metode dan standar kuantitatif di indonesia. klasifikasi lebih mengandalkan mata manusia. metode ini sangat subjektif dan acak, menghasilkan klasifikasi yang lambat dan tidak akurat. peningkatan konsumsi daging sapi di indonesia sangat signifikan setiap tahunnya, maka diperlukan sebuah sistem guna membantu masyarakat khususnya anak milenial mengetahui beragam jenis kualitas daging dengan tepat dan jelas. berdasarkan masalah di atas peneliti mengusulkan sebuah aplikasi klasifikasi kualitas daging marmer menggunakan convolutional neural network untuk mengklasifikasikan pada sistem dengan menggunakan dataset berupa gambar berjumlah 300 gambar dan tiga jenis kualitas daging marmer seperti daging kualitas tinggi, daging kualitas menengah, daging kualitas rendah kemudian diimplementasikan ke dalam bentuk aplikasi menggunakan android studio. proses klasifikasi pada daging dihasilkan dengan menggunakan metode convolutional neural network (cnn) dengan modul tensorflow digunakan untuk proses training dan testing data dengan hasil akhir training mendapatkan akurasi 96,67 persen dan testing mendapatkan akurasi 88,15 persen, rekomendasi sistem membantu pelanggan dalam menemukan produk yang relevan dan baru dengan lebih efektif. penilitian ini menguraikan prediksi penjualan pada sebuah toko ritel dan sistem rekomendasi produk yang diterapkan untuk toko ritel tersebut. data terdiri dari informasi penjualan selama 7 tahun sebanyak 12.099 transaksi. association rule merupakan algoritma yang membantu dalam memberikan dukungan keputusan pada produk yang dibeli secara bersamaan oleh pelanggan. pola yang dihasilkan terhadap barang yang dibeli oleh pelanggan sangat penting untuk meningkatkan target penjualan agar menjadi lebih tepat sasaran dengan berbagai tindakan yang bisa dilakukan seperti memberikan promosi dan diskon. penelitian ini juga menggunakan algoritma fp-growth untuk pendekatan asosiasi. hasil dari penelitian ini adalah rule yang berguna untuk memberikan rekomendasi promosi suatu produk secara lebih tepat, yaitu dengan menghasilkan 3 rule ketika menggunakan minimum support 0.2 dan minimun confidence 0.5. kata kunci : rekomendasi, association, rule, ritel, fp-growth, recently, deep learning has yielded transformative success across optics and photonics, especially in optical metrology. deep neural networks (dnns) with a fully convolutional architecture (e.g., u-net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks, such as fringe denoising, phase unwrapping, and fringe analysis. however, the task of training a dnn to accurately identify an image-to-image transform from massive input and output data pairs seems at best naïve, as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning practice. to this end, we introduce a physics-informed deep learning method for fringe pattern analysis (pi-fpa) to overcome this limit by integrating a lightweight dnn with a learning-enhanced fourier transform profilometry (leftp) module. by para-meterizing conventional phase retrieval methods, the leftp module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples, while circumventing the requirement of collecting a large amount of high-quality data in supervised learning methods. guided by the initial phase from leftp, the phase recovery ability of the lightweight dnn is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end networks. experimental results demonstrate that pi-fpa enables more accurate and computationally efficient single-shot phase retrieval, exhibiting its excellent generalization to various unseen objects during training. the proposed pi-fpa presents that challenging issues in optical metrology can be potentially overcome through the synergy of physics-priors-based traditional tools and data-driven learning approaches, opening new avenues to achieve fast and accurate single-shot 3d imaging, source_sentence: objective to explore the relationship between dietary factors and the risk of gallbladder cancer. methods a population-based case-control study was conducted in urban shanghai from june 1997 to may 2001 involving interviews with 368 incident cases of gallbladder cancer aged of 35 to 74 years and 895 population controls frequency-matched to cases by gender and age in five-year groups. an unconditional logistic regression was performed to calculate the adjusted odds ratios (ors) and 95% confidence intervals (cis). results women in the highest quarter intake of total allium vegetables had a statistically significant lower risk of gallbladder cancer(or= 0. 55, 95%ci:0. 31-0. 97; ptrend=0. 06) than those in the lowest quarter. comparison with the non-intake group showed reduction in risk for women in the highest intake group for garlic (or = 0. 59, 95%ci: 0. 34-0. 99; ptrend = 0.03) and onion (or = 0.52, 95%ci: 0.30-0.91; ptrend=0. 01). compared with women with the lowest quarter of intake of preserved foods, the adjusted odds ratios of gallbladder cancer were increased from 1. 06 to 1. 88 and 2. 31 with increasing quarter of intake (ptrend0. 001). similar results were observed for intake of allium vegetables and preserved foods among men, although not statistically significant. conclusion allium vegetables, especially garlic and onion intake may have protective effect against gallbladder cancer, and the effect was more pronounced for women than for men. however, preserved foods intake appeared to be associated with an increased risk of gallbladder cancer.
sentences: wheelchairs are a tool for people with disabilities who have difficulty walking to do their daily activities. users of conventional wheelchairs will quickly get tired if they have to walk long distances. the application of technology has expanded in all fields including biomedical. with the advancement of technology, a variety of wheelchair control interfaces have been developed.in this study, the researchers will develop on the navigation control of the movement of the electric wheelchair based on the identification of the finger posture of the hand. five finger patterns represent the motion of the wheelchairs to move forward, backwards, right, left, and stop. the research data set was successfully collected as much as 8000 data per finger pattern with a total of 40,000 samples. the proposed methods by the researchers are using deep learning methods such as convolutional neural network (cnn) and long short-term memory (lstm). the combination of cnn and lstm was chosen because the cnn method is highly focused on solving current object recognition problems. the combination with the lstm method is expected to increase the degree of accuracy of the identification of five finger patterns that represent the movement of the wheelchair: forward, backward, right, left, and stop. based on the results of offline testing, the accuracy score was 96.9% and the average response time was 179 ms. the highest accurate value in the advanced class was 99.7% and the lowest accurately in the stop and right classes was 97.9%. the greatest recall or sensitivity value at the stop class is 99.6% and the least recall value on the left class is 9.7%. the system is capable of predicting as much as ±6 frames per second. (fps). abstrak kursi roda merupakan alat bantu bagi penyandang disabilitas yang mengalami kesulitan berjalan untuk melakukan aktifitas sehari-hari. pengguna kursi roda konvensional akan cepat lelah jika harus berjalan jauh. penerapan teknologi telah merambah pada semua bidang termasuk dalam bidang biomedis. seiring dengan perkembangan teknologi, telah dikembangkan berbagai antarmuka kontrol kursi roda.pada penelitian ini peneliti akan melakukan pengembangan pada kontrol navigasi pergerakan kursi roda elektrik berdasarkan pengenalan pose jari tangan. lima pola jari tangan mewakili pergerakan kursi roda untuk bergerak maju, mundur, kanan, kiri, dan berhenti. dataset penelitian yang berhasil dikumpulkan sebanyak 8000 gambar data tiap pola jari tangan dengan total sampel sebanyak 40000 gambar. metode yang peneliti usulkan menggunakan metode deep learning yaitu convolutional neural network (cnn) dan long short-term memory (lstm). metode gabungan cnn dan lstm dipilih karena metode cnn sangat mumpuni untuk menyelesaikan permasalahan pengenalan objek saat ini. penggabungan dengan metode lstm diharapkan menambah tingkat akurasi dari pengenalan lima pola jari tangan yang mewakili pergerakan kursi roda yaitu maju, mundur, kanan, kiri, dan berhenti. berdasarkan hasil pengujian offline didapatkan nilai akurasi sebesar 96,9% dan rata-rata time respon sebesar 179 ms. nilai presisi paling besar pada kelas maju sebesar 99,7% dan nilai presisi paling kecil pada kelas berhenti dan kanan sebesar 97,9%. nilai recall atau sensivitas paling besar pada kelas berhenti sebesar 99,6% dan nilai recall paling kecil pada kelas kiri sebesar 96,7%. sistem yang dibuat mampu melakukan prediksi sebanyak ±6 frame per second (fps)., kebakaran adalah salah satu bencana yang sering terjadi. penyebab sering terjadinya kebakaran yaitu karena kelalaian manusia, dan hubungan arus pendek listrik. bencana kebakaran tidak hanya merusak bangunan bahkan menimbulkan banyak korban. saat ini banyak alat pendeteksi api menggunakan sensor panas, ion, infrared. namun penggunaan sistem alarm ini tidak akan bekerja hingga partikel mencapai sensor. oleh karena itu diperlukan sistem deteksi api yang dapat mendeteksi kebakaran dengan cepat. dalam tugas akhir ini diimplementasikan perangkat lunak pendeteksi api menggunakan deteksi gerak, deteksi warna menggunakan probabilitas warna, region growing, ekstraksi fitur wavelet dan klasifikasi piksel menggunakan support vector machines. hasil dari deteksi bentuk akan digunakan dalam proses penentuan api. dataset yang digunakan dalam proses uji coba berisi enam puluh tujuh video dengan panjang video enam sampai enambelas detik yang diambil dari berbagai sumber. performa terbaik yang dihasilkan adalah true positif sebesar 96.32%, false positif sebesar 1.46% dan missing rate sebesar 2.23% =============================================================================================== fire is one of the disasters that often occur. the cause of frequent occurrence of fires are due to human negligence and short-circuits. fire does not only damaged buildings even cause many victim. currently many of fire detectors use heat sensors, ion, and infrared. however, the use of this alarm system will not work until the particles reach the sensor. therefore, there has to be a fire detection system that can detect fires quickly. in this final project fire-detection software is implemented using motion detection, color detection using color probabilities, region growing, features extraction using wavelet and pixel classification using support vector machines. the results from shape detection will be used in the process of determining the fire. the dataset used in the testing process contains sixtyseven videos with a length of six to sixteen second video taken from various sources. the resulting performance is the best at 96.32% true positive, 1.46% false positif and missing rate of 2.23%., objective to study the role of dietary and nutritional factors in the etiology of urolithiasis. methods two hundred and fourty-one pairs of urolithiasis patients and controls were selected, and matched on age and sex, and without having urinary, endocrine, metabolic, or other related diseases. subjects were given with a standardized semi-quantitative questionnaire to inquire their demographic features and diet information. data were analyzed according to their respective property. conditional logistic regression were used to compute odds ratio and 95% confidence interval. results the following variables were found to have significant in single factor logistic regression analysis: do not fond of drinking water [or(no:yes) = 1.914 (95% ci: 1.272 - 2.881)]; drinking less purified water [or(once:more) = 0.771 (95% ci: 0.614 - 0.967)]; drinking less liquid [or(one cup more) = 0.273 (95% ci: 0.076 - 0.978)]; eating salted food [or(highest:common) = 3.382 (95% ci: 2.133 - 5.362), or(higher:common) = 1.435 (95% ci: 1.252 - 1.645)]; fond of sweet food [or(most:no) = 4.509 (95% ci: 2.457 - 8.277), or(more:no) = 1.562 (95% ci: 1.305 - 1.870)]; intake of animal oil [or(yes:no) = 2.222 (95% ci: 1.012 - 4.880)]; over intake of protein, fat and phosphorus; less intake of carbohydrate, dietary fibre and vitamin c. conclusion results indicated that dietary and nutritional factors were important risk factors to the etiology of urinary calculi., source_sentence: recent advancements in vision-language models (vlms) have marked a significant leap in bridging the gap between computer vision and natural language processing. however, traditional vlms, trained through contrastive learning on limited and noisy image-text pairs, often lack the spatial and linguistic understanding to generalize well to dense vision tasks or less common languages. our approach, solid foun-dation clip (sf-clip), circumvents this issue by implicitly building on the solid visual and language understanding of foundational models trained on vast amounts of unimodal data. sf-clip integrates contrastive image-text pretraining with a masked knowledge distillation from large foundational text and vision models. this methodology guides our vlm in developing robust text and image representations. as a result, sf-clip shows exceptional zero-shot classification accuracy and enhanced image and text retrieval capabilities, setting a new state of the art for vit-b/16 trained on yfcc15m and cc12m.moreover, the dense per-patch supervision enhances our zero-shot and linear probe performance in semantic segmentation tasks. a remarkable aspect of our model is its multilingual proficiency, evidenced by strong retrieval results in multiple languages despite being trained predominantly on english data. we achieve all of these improvements without sacrificing the training efficiency through our selective application of masked distillation and the inheritance of teacher word embeddings.
sentences: background data that assess maternal and infant outcomes in hepatitis c virus (hcv)-infected mothers are limited. aim to investigate the frequency of complications and the associated risk factors. methods we performed a cohort study to compare pregnancy and fetal outcomes of hcv-viremic mothers with those of healthy mothers. risk factors were analyzed with logistic regression. results among 112 consecutive hcv antibody-positive mothers screened, we enrolled 79 viremic mothers. we randomly selected 115 healthy mothers from the birth registry as the control. compared to healthy mothers, hcv mothers had a significantly higher frequency of anemia [2.6% (3/115) vs 19.0% (15/79), p < 0.001] during pregnancy, medical conditions that required caesarian section [27.8% (32/115) vs 48.1% (38/79), p = 0.004], and nuchal cords [9.6% (11/115) vs 34.2% (27/79), p < 0.001]. in addition, the mean neonatal weight in the hcv group was significantly lower (3278.3 ± 462.0 vs 3105.1 ± 459.4 gms; p = 0.006), and the mean head circumference was smaller (33.3 ± 0.6 vs 33.1 ± 0.7 cm; p = 0.03). in a multivariate model, hcv-infected mothers were more likely to suffer anemia [adjusted odds ratio (or): 18.1, 95% confidence interval (ci): 4.3-76.6], require caesarian sections (adjusted or: 2.6, 95%ci: 1.4-4.9), and have nuchal cords (adjusted or: 5.6, 95%ci: 2.4-13.0). their neonates were also more likely to have smaller head circumferences (adjusted or: 2.1, 95%ci: 1.1-4.3) and lower birth weights than the average (≤ 3250 gms) with an adjusted or of 2.2 (95%ci: 1.2-4.0). the vertical transmission rate was 1% in hcv-infected mothers. conclusion maternal hcv infections may associate with pregnancy and obstetric complications. we demonstrated a previously unreported association between maternal hcv viremia and a smaller neonatal head circumference, suggesting fetal growth restriction., in this paper, we present a novel scene text detection method that combines the advantages of component-based methods and region-based methods, while overcoming their inherent limitations. we first extract text regions as candidates, and then aggregate these text components in these regions into words and text lines. to separate non-text components in the background from text components, we perform both character-level filtering and word-level classification with a trained linear svm (support vector machine) classifier. our extensive experiments on icdar2003 and icdar2011 datasets have shown that our method outperforms the state-of-the-art methods in text detection., genre musik adalah hal yang sangat penting bagi penikmat musik. penikmat musik tidak lagi hanya mencari musik berdasarkan artis tetapi juga mencari musik berdasarkan genre musiknya. banyak berbagai macam alat elektronik pribadi yang berkemampuan sebagai pemutar musik seperti ponsel dan pemutar mp3 dilengkapi dengan kemampuan untuk mengklasifikasikan musik berdasarkan genre. tugas akhir ini mengimplementasikan penggunanaan support vector machine (svm) untuk mengklasifikasi suatu file audio mp3 ke dalam genre musik tertentu. sebelum diklasifikasi, file audio mp3 dirubah ke dalam format wav kemudian diekstraksi fitur-fitur audionya dengan mengimplementasikan penggunaan fast fourier transformation (fft). uji coba dilakukan dengan menggunakan kernel svm yang berbeda-beda seperti kernel ‘gaussian’ dan kernel ‘polinomial’ serta kombinasi penggunaan fitur yang berbeda-beda pula. hasil uji coba dihitung rataan benar dan salahnya serta dihitung kompleksitas waktunya untuk kemudian dibandingkan, source_sentence: pemrosesan bahasa alami berhubungan dengan cara manusia berkomunikasi dengan mesin menggunakan bahasa yang digunakan oleh manusia sesuai dengan lingkungan sekitarnya untuk memberikan respon atau perintah. pada penelitian ini, dirancang aplikasi yang mampu merekayasa bahasa alami sebagai suatu perintah yang dapat dimengerti komputer untuk melakukan operasi transformasi geometri dua dimensi. masukan bagi aplikasi berupa kalimat perintah akan melalui proses scanner , parser , dan translator yang merupakan bagian dari pemrosesan bahasa alami. keluaran dari pemrosesan bahasa alami ini menghasilkan solusi bagi kalimat masukan disertai dengan tampilan grafik dua dimensi untuk transformasi geometri. pada tahap scanner , kalimat perintah akan dibaca dan dikelompokkan ke dalam token-token. pada tahap parser , token-token akan dikelompokkan menjadi struktur sintak sesuai dengan aturan produksi yang telah disusun. pada tahap translator , struktur sintak akan diterjemahkan ke dalam operasi transformasi geometri yang bersesuaian. keluaran dari aplikasi akan memberikan solusi akhir berupa titik koordinat akhir hasil transformasi. sistem dibuat dengan mempertimbangkan beberapa kalimat perintah operasi transformasi dan kemudian dicari struktur kalimat yang memiliki kesamaan untuk kemudian disusun aturan produksi agar sistem mampu menangani kalimat masukan. hasil pengujian menunjukkan bahwa sistem mampu menangani beberapa kalimat masukan mengenai empat perintah operasi transformasi geometri dasar selama kalimat yang menjadi masukan memiliki struktur yang sesuai dengan aturan produksi yang disusun.
sentences: bleeding as a major cause of high maternal mortality rate in indonesia begins with anemia.the prevalence of anemia was found different in other countries. adolescence is a vulnerable age group to anemic. anemia in adolescence girls will have an impact on reproductive health. the purposeof this study to determine the relationship between the intake of energy nutrients, iron proteinm and menstrual pattern with the incidence of anemia in adolescent girls in kebumen regency in 2016. this research is an analytic observational with case control design.the sample in this study of 120 respondents.the study was conducted in may-june 2016. data were collected by questionnaire instruments and semi quantitative- food frequency quotionare ( sq-ffq).data analysis included univariate analysis of the frequency distribution of research variables, bivariate analysis withchi_square test, and multivariate logistic regression analysis. the results showed that there was a significant relationship between energy intake of p = (0.047), protein p = (0,000), iron p = (0.002), menstrual pattern p = (0.001) with anemia incidence in adolescent girls. multivariate analysis of logistic regression showed the most dominant variable on the occurrence of anemia was protein nutrient intake of or 4.255 in ci (1,850-9,784). kebumen district health office needs to socialize school intensive nutrition program intensively and comprehensively to reduce the incidence of adolescent anemia. the activities of socialization and provision of iron supplementation should be carried out continuously with good evaluation after implementation. keywords: anemia, adolescence girl, nutrient intake, menstrual pattern, objective(s):few data are available from resource-limited countries on long-term outcomes of hiv-infected women who initiate antiretroviral therapy (art) during pregnancy. design:analysis of data from adult patients enrolled in the mtct-plus initiative who initiated art between 2003 and 2006 in seven countries in sub-saharan africa and thailand. methods:mean population changes were assessed and multivariable mixed linear regression modeling was used to examine covariate effects on differences in absolute cd4+ cell count responses. kaplan–meier methods were used to examine program retention combining survival and losses to follow-up. results:of 2229 individuals initiating art, 1688 were women, of which 605 were pregnant (median gestational age 7 months), 1083 were not pregnant, and 541 were men. the average cd4+ response by 30 months on art was 451 cells/μl among women who were pregnant at art initiation as compared with 435 cells/μl among nonpregnant women (p = 0.53) and 349 cells/μl among men (p < 0.001). in multivariable analysis, lower cd4+ cell increase was independently associated with male sex, older age, and lower cd4+ cell count at initiation. after 30 months on art retention was 0.85 with no retention differences between pregnant women, nonpregnant women, and men. conclusion:hiv-infected women in resource-limited countries who start art during pregnancy have similar or better long-term cd4+ cell count responses as compared with other adults. these data support efforts to provide pregnant hiv-infected women with access to art in resource-limited countries., the purpose of this research is to examine the capital effect and land area toward the coffee farmers income in lewa jadi village, bandar district, bener meriah regency. this research based on quantitative approach. the sampel used is the communities of coffee farmers who the coffee ground about 73 respondents. the primary data as the instrument of collecting data utilized in this study. the primary data is obtained by distributing questonnaires to the coffee farmers. the data analysis used in this study is multiple linear regression test, classic assumption test, multicoliniarity test, heterokedasticity test, determinant test, t test, f test with spss version 16. the result of study shows that the variable of capital has the possitive and significant effect toward the coffee farmers income in lewa jadi village, bandar district, bener meriah regency. next, the variable of land area has the possitive and significant effect too on the income of coffee farmers in lewa jadi village, bandar district, bener meriah regency. keywords: capital, land area, income. abstrak penelitian ini bertujuan untuk menguji pengaruh modal dan luas lahan terhadap pendapatan petani kopi di desa lewa jadi kecamatan bandar kabupaten bener meriah. metodelogi yang digunakan adalah pendekatan kuantitatif.sampel yang digunakan adalah masyarakat petani kopi yang mempunyai lahan kopi sebanyak 73 responden.instrumen pengumpulan data menggunakan data primer. data primer diperoleh dengan cara penyebaran angket (kuisioner) kepada petani kopi. analisis data yang digunakan pada penelitian ini adalah uji regresi linear berganda, uji asumsi klasik, uji multikoleniaritas, uji heterokedastisitas, uji determinan, uji t, uji f dengan bantuan spss versi 16.hasil penelitian yang dilakukan menunjukan bahwa variabel modal berpengaruh positif dan signifikan terhadap pendapatan petani kopi di desa lewa jadi kecamatan bandar kabupaten bener meriah. dan variabel luas lahan berpengaruh positif dan signifikan terhadap pendapatan petani kopi di desa lewa jadi kecamatan bandar kabupaten bener meriah. kata kunci: modal, luas lahan, pendapatan.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
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Created: 2025-08-12 01:30:56