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Journal articles on the topic 'PTM MODEL'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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1

Han, Ye, Fei He, Qing Shao, Duolin Wang, and Dong Xu. "MTPrompt-PTM: A Multi-Task Method for Post-Translational Modification Prediction Using Prompt Tuning on a Structure-Aware Protein Language Model." Biomolecules 15, no. 6 (2025): 843. https://doi.org/10.3390/biom15060843.

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Post-translational modifications (PTMs) regulate protein function, stability, and interactions, playing essential roles in cellular signaling, localization, and disease mechanisms. Computational approaches enable scalable PTM site prediction; however, traditional models focus only on local sequence features from fragments around potential modification sites, limiting the scope of their predictions. Recently, pre-trained protein language models (PLMs) have improved PTM prediction by leveraging biological knowledge derived from extensive protein databases. However, most PLMs used for PTM site pr

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2

Cao, Yu (Kevin). "What is Predictive Technology Model (PTM)?" ACM SIGDA Newsletter 39, no. 3 (2009): 1. http://dx.doi.org/10.1145/1862891.1862892.

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Ariyani, Hana, Ida Rosidawati, Novita Ramadanty, et al. "Establishment of Integrated Non-Communicable Disease Development Post (Posbindu PTM) in Muhammadiyah Branch Leadership (PCM) Area, Mangkubumi District, Tasikmalaya City." ABDIMAS: Jurnal Pengabdian Masyarakat 6, no. 3 (2023): 4113–17. http://dx.doi.org/10.35568/abdimas.v6i3.3510.

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Non-Communicable Diseases (NCDs) are still a global problem that causes death every year. One of the efforts to prevent and control NCDs is by establishing Integrated Non-Communicable Disease Development Post (Posbindu PTM). The purpose of this activity is to initiate the formation of Posbindu PTM in the area of the Muhammadiyah Branch Manager/Pimpinan Cabang Muhammadiyah (PCM) Mangkubumi District, Tasikmalaya City. The strategies used are recruitment, outreach, formation, training of cadres and simulations of Posbindu PTM implementation. The method of implementing the activity is through part

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Li, Pengfei, Min Zhang, Peijie Lin, Jian Wan, and Ming Jiang. "Visual-Text Reference Pretraining Model for Image Captioning." Computational Intelligence and Neuroscience 2022 (January 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/9400999.

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People can accurately describe an image by constantly referring to the visual information and key text information of the image. Inspired by this idea, we propose the VTR-PTM (Visual-Text Reference Pretraining Model) for image captioning. First, based on the pretraining model (BERT/UNIML), we design the dual-stream input mode of image reference and text reference and use two different mask modes (bidirectional and sequence to sequence) to realize the VTR-PTM suitable for generating tasks. Second, the target dataset is used to fine tune the VTR-PTM. To the best of our knowledge, VTR-PTM is the

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Park, Inhwan, Jaehyun Shin, Hoje Seong, and Dong Sop Rhee. "Comparisons of Two Types of Particle Tracking Models Including the Effects of Vertical Velocity Shear." Water 12, no. 12 (2020): 3535. http://dx.doi.org/10.3390/w12123535.

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In this study, two types of particle tracking models were presented to investigate the applicability in the two-dimensional solute mixing simulations. The conventional particle tracking model, denoted as PTM, was developed based on Fick’s law, which adopted the dispersion coefficient to calculate the random displacements. The other model is the particle dispersion model (PDM), which computes the shear dispersion process by dividing into two computation procedures as the shear translation and the vertical mixing. The PTM and the PDM included the effects of vertical profiles of velocity in the c

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NOERLIANI, DONY. "EVALUASI PASCA PELATIHAN KADER POSBINDU PTM ANGKATAN I DI LATKESMAS MURNAJATI TAHUN 2020 DENGAN PENDEKATAN MODEL KIRKPATRIC." COMMUNITY : Jurnal Pengabdian Kepada Masyarakat 1, no. 1 (2021): 42–56. http://dx.doi.org/10.51878/community.v1i1.508.

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Penyakit Tidak Menular (PTM) dapat dicegah dengan mengendalikan factor resikonya. Upaya untuk menunjang program pemerintah dalam pengendalian factor resiko PTM serta terlaksananya pencegahan dan pengendalian factor resiko PTM berbasis peran serta masyarakat secara terpadu, rutin dan periodic maka diperlukan strategi khusus yaitu dengan pendidikan dan pelatihan kader Posbindu PTM. Tujuan dari penelitian ini adalah untuk mengevaluasi perubahan perilaku peserta Diklat Kader Posbindu PTM angkatan I dalam menerapkan hasil belajarnya pada pelaksanaan tugas sebagai kader Posbindu PTM di wilayah kerja

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Faatih, Mukhlissul, Riswal Hanafi Siregar, Amir Su'udi, et al. "ASSESSING INDIVIDUAL PERCEPTION IN UTILIZATION OF NON-COMMUNICABLE DISEASES POST (NCDS POST) USING A HEALTH BELIEF MODEL (HBM) APPROACH." Media Penelitian dan Pengembangan Kesehatan 33, no. 3 (2023): 102–9. http://dx.doi.org/10.34011/jmp2k.v33i3.1662.

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Fasilitas Posbindu PTM telah menjadi komponen penting dalam kebijakan kesehatan. Penelitian mengungkapkan bahwa hal tersebut belum dimanfaatkan secara optimal. Penelitian ini bertujuan untuk mengetahui hubungan persepsi peserta dengan pemanfaatan Posbindu PTM. Penelitian menggunakan desain cross-sectional dan dilakukan di lima provinsi di Indonesia. Pengumpulan data dilakukan dengan wawancara dan pengisian kuesioner pada bulan Agustus-Oktober 2021. Analisis dilakukan dengan uji statistik beda mean. Kami melibatkan 420 peserta dalam penelitian ini. Hasil penelitian menunjukkan sebagian besar pe

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Chafai, Narjice, and Bouabid Badaoui. "Genetic Analysis of Days Open in Moroccan Holstein Using Different Models to Account for Censored Data." Animals 14, no. 24 (2024): 3614. https://doi.org/10.3390/ani14243614.

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Reproductive efficiency is a key element of profitability in dairy herds. However, the genetic evaluation of fertility traits is often challenged by the presence of high censorship rates due to various reasons. An easy approach to address this challenge is to remove the censored data from the dataset. However, removing data might bias the genetic evaluation. Therefore, addressing this issue is crucial, particularly for small populations and populations with limited size. This study uses a Moroccan Holstein dataset to compare two Gaussian linear models and a threshold linear model to handle cen

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Wang, Hang, and David Miller. "Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion." Entropy 22, no. 3 (2020): 326. http://dx.doi.org/10.3390/e22030326.

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In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the dictionary explained by a universal shared model. Further, in LDA all topics are in principle present in every document. In contrast, PTM gives sparse topic representation, determining the (small) subset of relevant topics for each document. A customized Bayesian information criterion (BIC) was derived, balancing model complexity and goodness of fit, wi

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Devnath, Bappy Chandra, and Satyendra N. Biswas. "Low Power Full Adder Design Using PTM Transistor Model." Carpathian Journal of Electronic and Computer Engineering 12, no. 2 (2019): 15–20. http://dx.doi.org/10.2478/cjece-2019-0011.

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Abstract At present the processing power of the digital electronic chip is enormous and that has been possible because of the continuous improvement of the design methodology and fabrication technology. So, the data processing capability of the chip is increased significantly. Data processing in the electronic chip means the arithmetic operation on that data. For that reason, ALU is present in any processor. Full adder is one of the critical components of arithmetic unit. Improvement of the full adder is necessary for improving the computational performance of a chip. In order to design an eff

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Alkuhlani, Alhasan, Walaa Gad, Mohamed Roushdy, Michael Gr Voskoglou, and Abdel-badeeh M. Salem. "PTG-PLM: Predicting Post-Translational Glycosylation and Glycation Sites Using Protein Language Models and Deep Learning." Axioms 11, no. 9 (2022): 469. http://dx.doi.org/10.3390/axioms11090469.

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Post-translational glycosylation and glycation are common types of protein post-translational modifications (PTMs) in which glycan binds to protein enzymatically or nonenzymatically, respectively. They are associated with various diseases such as coronavirus, Alzheimer’s, cancer, and diabetes diseases. Identifying glycosylation and glycation sites is significant to understanding their biological mechanisms. However, utilizing experimental laboratory tools to identify PTM sites is time-consuming and costly. In contrast, computational methods based on machine learning are becoming increasingly e

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Su, Meng, Danfeng Cao, Zhe Wang, Yanwen Duan, and Yong Huang. "Fatty Acid Synthase Inhibitor Platensimycin Intervenes the Development of Nonalcoholic Fatty Liver Disease in a Mouse Model." Biomedicines 10, no. 1 (2021): 5. http://dx.doi.org/10.3390/biomedicines10010005.

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Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease affecting about 25% of world population, while there are still no approved targeted therapies. Although platensimycin (PTM) was first discovered to be a broad-spectrum antibiotic, it was also effective against type II diabetes in animal models due to its ability to inhibit both bacterial and mammalian fatty acid synthases (FASN). Herein, we report the pharmacological effect and potential mode of action of PTM against NAFLD in a Western diet/CCI4-induced mouse model and a free fatty acids (FFAs)-induced HepG2 cell model. The p

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Wei, Kun, Zhe Xu, and Cheng Deng. "Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 20 (2025): 21465–73. https://doi.org/10.1609/aaai.v39i20.35448.

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Class-Incremental Learning (CIL) requires an artificial intelligence system to learn different tasks without class overlaps continually. To achieve CIL, some methods introduce the Pre-Trained Model (PTM) and leverage the generalized feature representation of PTM to learn downstream incremental tasks continually. However, the generalized feature representations of PTM are not adaptive and discriminative for these various incremental classes, which may be out of distribution for the pre-trained dataset. In addition, since the incremental classes cannot be learned at once, the class relationship

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Ferliana, Christine, Harwanto, and Suhartik. "PENGEMBANGAN MODEL LATIHAN PUKULAN DASAR TEKNIK FOREHAND DAN BACKHAND OLAHRAGA TENIS MEJA PADA ATLET PEMULA DI PERKUMPULAN TENIS MEJA (PTM) CHYNBHAR SURABAYA." STAND : Journal Sports Teaching and Development 4, no. 2 (2023): 112–20. http://dx.doi.org/10.36456/j-stand.v4i2.7903.

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This study aims to see the application of development methods and models used in improving forehand and backhand strokes in table tennis games for novice athletes at the Chynbhar table tennis association (PTM) Surabaya. From the results of the analysis obtained there was a very significant increase from the pretest, treatment and posttest methods. The average increase in forehand practice results of 5 (five) novice athletes at PTM Chynbhar was 62% (total increase in forehand strokes of 310 : 5 = 62), while the increase in backhand training results from 5 (five) novice athletes at PTM Chynbhar

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He, Tie-Ke, Hao Lian, Ze-Min Qin, Zhen-Yu Chen, and Bin Luo. "PTM: A Topic Model for the Inferring of the Penalty." Journal of Computer Science and Technology 33, no. 4 (2018): 756–67. http://dx.doi.org/10.1007/s11390-018-1854-z.

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Chen, Xiao Zhou. "Score Model Based on Forward-Reverse Databases for Phosphopeptides Identification." Advanced Materials Research 898 (February 2014): 827–30. http://dx.doi.org/10.4028/www.scientific.net/amr.898.827.

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Identification of phosphorylated peptides takes into account factors relevant in matching, building models, and score algorithms. In the paper we make a detailed comparative analysis among various phosphorylation identification methods, and study current mainstream algorithms in database searching and identification, and compares various aspects and methods of algorithms in site assessment. Based on the theory of forward-reverse databases searching, It is proposed a new score model to ensure the quality of identification. Our result shows that PTM and Mascot score models were strongly correlat

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Akram, Nouman, and Thomas Kienberger. "A Combined Investment and Operational Optimization Approach for Power-to-Methanol Plants." Energies 17, no. 23 (2024): 5937. http://dx.doi.org/10.3390/en17235937.

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In the global effort for industrial decarbonization, repurposing closed coal-fired power plants into power-to-methanol (PtM) plants offers a promising pathway to reduce CO₂ emissions while leveraging existing infrastructure. This study introduces a novel combined optimization approach using mixed-integer linear programming (MILP) to simultaneously optimize the investment and operation of a PtM plant, assessing its economic viability. The model incorporates the operational flexibility of proton exchange membrane (PEM) electrolyzers in response to fluctuating electricity prices through a piecewi

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Nie, Xiaonan, Yi Liu, Fangcheng Fu, et al. "Angel-PTM: A Scalable and Economical Large-Scale Pre-Training System in Tencent." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3781–94. http://dx.doi.org/10.14778/3611540.3611564.

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Recent years have witnessed the unprecedented achievements of large-scale pre-trained models, especially Transformer models. Many products and services in Tencent Inc., such as WeChat, QQ, and Tencent Advertisement, have been opted in to gain the power of pre-trained models. In this work, we present Angel-PTM, a productive deep learning system designed for pre-training and fine-tuning Transformer models. Angel-PTM can train extremely large-scale models with hierarchical memory efficiently. The key designs of Angel-PTM are a fine-grained memory management via the Page abstraction and a unified

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Sun, Hai-Long, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, and Han-Jia Ye. "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 19 (2025): 20699–707. https://doi.org/10.1609/aaai.v39i19.34281.

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Class-Incremental Learning (CIL) requires models to continually acquire knowledge of new classes without forgetting old ones. Despite Pre-trained Models (PTMs) have shown excellent performance in CIL, catastrophic forgetting still occurs as the model learns new concepts. Existing work seeks to utilize lightweight components to adjust the PTM, while the forgetting phenomenon still comes from parameter and retrieval levels. Specifically, iterative updates of the model result in parameter drift, while mistakenly retrieving irrelevant modules leads to the mismatch during inference. To this end, we

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Policybrief, Submission, Nuri Andarwulan, Purwiyatno Hariyadi, and Safira Firdaus. "Efektifkah Penerapan Cukai Minuman Berpemanis untuk Menurunkan Risiko Penyakit Tidak Menular di Indonesia?" Policy Brief Pertanian, Kelautan, dan Biosains Tropika 6, no. 2 (2024): 893–99. https://doi.org/10.29244/agro-maritim.0602.893-899.

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Asupan gula, garam dan lemak dari pangan yang dikonsumsi diduga menjadi faktor risiko PTM. Rerata asupan gula masyarakat Indonesia masih memenuhi rekomendasi WHO dan PerMenkes No. 30 tahun 2013. Identifikasi sumber pangan yang berkontribusi terhadap asupan gula dapat digunakan sebagai input strategi pengendalian asupannya. Hasil survey konsumsi pangan menunjukkan bahwa jenis pangan sebagai kontributor utama asupan gula adalah pangan olahan, diikuti oleh pangan siap saji dan masakan rumah tangga. Menurut UNICEF, tidak ada satu pun kebijakan tunggal yang mampu secara efektif mengatasi permasalah

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Isobe, Atsuhiko, Shin’ichiro Kako, Pil-Hun Chang, and Takeshi Matsuno. "Two-Way Particle-Tracking Model for Specifying Sources of Drifting Objects: Application to the East China Sea Shelf." Journal of Atmospheric and Oceanic Technology 26, no. 8 (2009): 1672–82. http://dx.doi.org/10.1175/2009jtecho643.1.

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Abstract The two-way Lagrangian particle-tracking model (PTM) is proposed for specifying sources of objects drifting with random-walk processes on the sea surface. First, to determine object source candidates, modeled particles are released from the point (hereafter, “receptor”) where an observer finds the objects using a backward-in-time PTM with modeled ocean currents of which directions are reversed in sign. Second, the modeled particles are released from these source candidates in a forward-in-time PTM using ocean currents originally computed in hydrographic models. Third, the source candi

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Braun, Claude M. J., and Anik Guimond. "Visual Hypo and Hypergnosia as Exemplars of Poles of Psychic Tonus in the Occipital Lobes: Multiple Case Analyses." Behavioural Neurology 19, no. 4 (2008): 153–68. http://dx.doi.org/10.1155/2008/139436.

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The “psychic tonus” model or PTM [1] of hemispheric specialization states that the left hemisphere is a psychic and behavioral activator and that the right hemisphere is an inhibitor. The PTM predicts that the tonus of visual representation ought to manifest hemispheric specialization in the occipital lobes. Specifically PTM predicts that pathological positive visual tonus (visual hallucination) ought to be associated more frequently with right occipital lesions. PTM also predicts that pathological negative visual tonus (loss of visual imagery) ought to result more often from left occipital le

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Rohmayanti, Rohmayanti, Dwi Istutik, Islamiyah Islamiyah, Rafika Rahmawati, and Zunna Septiandani. "Pembentukan Kader Posbindu PTM Tingkatkan Skill Kader dan Partisipasi Warga Sebagai Upaya Mengatasi Penyakit Tidak Menular di Desa Rambeanak, Magelang." Community Empowerment 6, no. 3 (2021): 404–10. http://dx.doi.org/10.31603/ce.4221.

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Posbindu Penyakit Tidak Menular (PTM) belum terbentuk di Desa Rambeanak. Salah satu upaya yang dapat dilakukan dalam pencegahan dan mengendalikan penyakit tersebut adalah pemberdayaan kader kesehatan desa, melalui Posbindu PTM. Tujuan dari kegiatan ini adalah menginisiasi pembentukan Posbindu PTM untuk meningkatkan pengetahuan dan keterampilan kader sehingga dapat meningkatkan partisipasi warga memeriksakan kesehatannya. Strategi yang digunakan adalah dengan sosialisasi, pelatihan, pendampingan kegiatan serta monitoring evaluasi kegiatan. Metode pelaksanaan dengan pemberdayaan masyarakat parti

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Sopyan, Amalia Arofah Puji, and Eliana Sidipurwanty. "Mengurai Kompleksitas Pemberdayaan Tanah Masyarakat: Pelajaran dari Gugus Tugas Reforma Agraria di Bangka Tengah." Tunas Agraria 7, no. 2 (2024): 201–20. http://dx.doi.org/10.31292/jta.v7i2.296.

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Community Land Empowerment (PTM) and the role of the Agrarian Reform Task Force (GTRA) are important to overcome inequality in land access in Indonesia. However, improving coordination between sectors is necessary to enhance the effectiveness of PTM implementation. This research aims to determine the role of GTRA in implementing PTM and various developments in access arrangements in Central Bangka Regency, as well as the problems and solutions faced. The research uses qualitative methods by collecting data through document reviews, interviews, and literature studies, as well as qualitative des

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Indah Naryanti, Farid Agushybana, Eko Sediyono, Cahya Tri Purnami, and Aris Puji Widodo. "Evaluation of Acceptance of Non-Communicable Disease Information System Applications Based on User Experience." Community Medicine and Education Journal 3, no. 2 (2022): 248–51. http://dx.doi.org/10.37275/cmej.v3i2.222.

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The mortality rate due to non-communicable diseases (PTM) in Indonesia is higher than the global death rate. The non-communicable disease information system (SI-PTM) was created to assist programmers in facilitating their work. This study aims to evaluate the acceptance of the information system needed to determine the user's desire to use the SI-PTM. This research is an observational study. Respondents in this study were Semarang City Health Center officers who were appointed as operators of the non-communicable disease information system (SI-PTM). Data were collected using a questionnaire co

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Dewi, Erlinda Rahma, Ayu Nur Hidayati, Ainun Indriani Purwoko, Cici Nurhayati, and Dita Purwinda Anggrella. "Kesiapan Guru PAUD dalam Menghadapi Pembelajaran Tatap Muka Terbatas." Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini 6, no. 6 (2022): 7204–13. http://dx.doi.org/10.31004/obsesi.v6i6.2166.

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Berubahnya sistem pendidikan dari daring menjadi PTM, kembali memberikan tantangan bagi guru agar dapat mencapai capaian pembelajaran peserta didik. Tujuan penelitian ini adalah untuk mengetahui kesiapan dari guru PAUD dalam pelaksanaan PTM terbatas dari segi internal ataupun eksternal. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data berupa wawancara dan observasi. Subyek penelitian ini adalah guru kelas and kepala sekolah. Hasil penelitian yaitu persiapan guru dalam pelaksanaan PTM terbatas pada segi internal dengan strategi bermain sambil belajar d

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Ma, Li, and Lei Huang. "Research on the Application of Project Teaching Method in the New Model of Software Engineering Course." Scalable Computing: Practice and Experience 25, no. 1 (2024): 229–40. http://dx.doi.org/10.12694/scpe.v25i1.2287.

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Software engineering course is one of the core courses of computer science. The students trained in the current teaching mode can no longer meet the market demand for high-technology talents. Based on this, the research attempts to optimize the traditional software engineering teaching mode by using the project teaching method (PTM). According to the basic concept of PTM and course characteristics, the reform path of PTM in software engineering course is explored in the experiment. Then in the experiment, the indicators that affect teaching reform effect is selected and a evaluation model is b

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Chen, Zhen, Xuhan Liu, Fuyi Li, et al. "Large-scale comparative assessment of computational predictors for lysine post-translational modification sites." Briefings in Bioinformatics 20, no. 6 (2018): 2267–90. http://dx.doi.org/10.1093/bib/bby089.

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Abstract Lysine post-translational modifications (PTMs) play a crucial role in regulating diverse functions and biological processes of proteins. However, because of the large volumes of sequencing data generated from genome-sequencing projects, systematic identification of different types of lysine PTM substrates and PTM sites in the entire proteome remains a major challenge. In recent years, a number of computational methods for lysine PTM identification have been developed. These methods show high diversity in their core algorithms, features extracted and feature selection techniques and ev

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Solida, Adila, Andy Amir, Evy Wisudariani, and Fitri Widiastuti. "Integrasi Posbindu PTM dan Prolanis Pada Pelayanan Diabetes Melitus Di Kota Jambi." Jurnal Ners 9, no. 2 (2025): 2677–81. https://doi.org/10.31004/jn.v9i2.36445.

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Penyakit Tidak Menular (PTM) masih menjadi penyebab kematian utama di dunia dan di Indonesia saat ini, salah satunya adalah penyakit Diabetes Melitus. Di Kota Jambi, prevalensi penyakit diabetes mellitus yang tinggi dan terus meningkat menjadi beban penyakit yang menurunkan produktivitas masyarakat. Kebijakan dan program pengendalian penyakit seharusnya memadai, namun hasil penelitian menemukan bahwa terdapat kesenjangan besar antara program dan beban PTM yang harus diatasi. Posbindu-PTM dan Prolanis merupakan dua program yang berupaya mengendalikan penyakit diabetes melitus, namun belum ada k

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Indah, Naryanti, Agushybana Farid, and Sediyono Eko. "Evaluation of Non-Communicable Disease Information System Acceptance (SI-PTM) using the Technology Acceptance Model (TAM)." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 347–51. https://doi.org/10.5281/zenodo.6789538.

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Non-communicable diseases (NCDs) cause 71% of deaths in the world and 76% in Indonesia. Therefore, a systematic and continuous health surveillance system is needed for control and prevention measures with complete, up-to-date and real-time recording and reporting. 90% of excel manual recording and delivery of reports are done by email. So we need an information system that supports surveillance of noncommunicable diseases. The model used in this study uses the Technology Acceptance Model to determine perceptions of usefulness, perceived convenience, attitudes and user intentions. This type of

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KUSNIATI, ETTI, DELLA PAULINDA, and ROSI WIDIAWATI. "IMPLEMENTASI PELAKSANAAN POS PEMBINAAN TERPADU PENYAKIT TIDAK MENULAR (POSBINDU PTM) DI PUSKESMAS PEKIK NYARING BENGKULU TENGAH." Journal of Nursing and Public Health 12, no. 1 (2024): 139–47. http://dx.doi.org/10.37676/jnph.v12i1.6351.

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Pendahuluan: Pos Pembinaan Terpadu Penyakit Tidak Menular merupakan peran serta masyarakat dalam melakukan kegiatan deteksi dini dan pemantauan factor risiko PTM yang dilaksanakan secara terpadu, rutin, dan periodic Sasaran utama program Pos bindu PTM adalah kelompok masyarakat sehat, berisiko dan penyandang PTM berusia 15 tahun keatas. Tujuan penelitian ini mendeskripsikan Implementasi Program Pelaksanaan Pos PembinaanTerpadu Penyakit Tidak Menular di Puskesmas Pekik Nyaring Bengkulu Tengah. Metode yang digunakan dalam penelitian ini yaitu metode deskriptif kualitatif. Teknik pengumpulan data

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Maryani, Rima Arum, Ranto Ranto, and Towip Towip. "UPAYA PENINGKATAN PRESTASI BELAJAR MOTOR BAKAR MAHASISWA PRODI PTM FKIP UNS MELALUI PENERAPAN MODEL PEMBELAJARAN FLIPPED LEARNING." NOZEL Jurnal Pendidikan Teknik Mesin 7, no. 1 (2025): 21. https://doi.org/10.20961/nozel.v7i1.93690.

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Penelitian ini bertujuan untuk mengetahui apakah dengan penerapan model pembelajaran flipped learning dapat meningkatkan prestasi belajar mahasiswa Prodi PTM FKIP UNS pada mata kuliah motor bakar. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam tiga siklus dengan setiap siklus terdiri atas perencanaan tindakan, pelaksanaan tindakan, observasi, dan refleksi. Subjek penelitian adalah mahasiswa semester II Prodi PTM FKIP UNS kelas Motor Bakar A yang berjumlah 42 orang. Teknik pengumpulan data menggunakan tes dan dokumentasi. Validitas data menggunakan validitas is

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Tang, Shuxian, Ying Zhao, Haitao Wang, et al. "Preparation of the Sodium Alginate-g-(Polyacrylic Acid-co-Allyltrimethylammonium Chloride) Polyampholytic Superabsorbent Polymer and Its Dye Adsorption Property." Marine Drugs 16, no. 12 (2018): 476. http://dx.doi.org/10.3390/md16120476.

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A polyampholytic superabsorbent polymer (PASAP), sodium alginate-g-(polyacrylic acid-co-allyltrimethylammonium chloride) (SA-g-(PAA-co-PTM)), was prepared by free-radical graft copolymerization and characterized. The polymer exhibited pH-dependent swelling behaviors with extremely high swelling ratios, and was saline tolerant. The dye adsorption properties of SA-g-(PAA-co-PTM) were investigated using methylene blue (MB) as a cationic dye model. It was found that its dye adsorption capacity was significantly affected by the TM content in PASAP and pH of dye solution. The dye adsorption kinetics

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Cui, Huanqing, Li Cai, Sen Wang, Xiaoqiang Liu, and Xiaokuo Yang. "Accurate reliability analysis method for quantum-dot cellular automata circuits." International Journal of Modern Physics B 29, no. 29 (2015): 1550203. http://dx.doi.org/10.1142/s0217979215502033.

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Probabilistic transfer matrix (PTM) is a widely used model in the reliability research of circuits. However, PTM model cannot reflect the impact of input signals on reliability, so it does not completely conform to the mechanism of the novel field-coupled nanoelectronic device which is called quantum-dot cellular automata (QCA). It is difficult to get accurate results when PTM model is used to analyze the reliability of QCA circuits. To solve this problem, we present the fault tree models of QCA fundamental devices according to different input signals. After that, the binary decision diagram (

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Zhang, Zhiwei, Yajie Dou, Xiangqian Xu, and Yuejin Tan. "A PTM-Based Framework for Enhanced User Requirement Classification in Product Design." Electronics 13, no. 8 (2024): 1458. http://dx.doi.org/10.3390/electronics13081458.

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Accurately identifying and classifying customer requirements is crucial for successful product design. However, traditional methods for requirement classification, such as Kano models based on questionnaires, can be time-consuming and may not capture all requirements accurately. Analyzing large volumes of user reviews using simple natural language processing techniques can also result in accuracy issues. To address these challenges, we propose a framework that combines pre-trained models (PTMs), Kano models, and the sentiment analysis technique. Our approach integrates an LDA-K-Means model enh

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Fadhilah, Siti, Dian Monalisa Rusliani, Arum Nuryati, and Bima Suryantara. "Deteksi Dini Faktor Risiko Penyakit Tidak Menular pada Remaja Karang Taruna: Skrining dan Upaya Pencegahan." Room of Civil Society Development 4, no. 1 (2025): 222–33. https://doi.org/10.59110/rcsd.537.

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Prevalensi Penyakit Tidak Menular (PTM) di Indonesia terus meningkat akibat perubahan gaya hidup dan urbanisasi. PTM tidak hanya menyerang usia lanjut, tetapi juga dapat terjadi pada usia muda. Pengabdian kepada masyarakat ini bertujuan untuk mendukung implementasi skrining PTM pada kelompok remaja Karang Taruna Tunas Harapan guna meningkatkan kesadaran akan pentingnya kesehatan sejak dini. Skrining dilakukan terhadap 24 peserta berusia 19–33 tahun menggunakan metode pengukuran antropometri (tinggi badan, berat badan, lingkar lengan atas), tekanan darah, kadar hemoglobin, serta kadar gula dara

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Sutarya, D., I. R. Pamungkas, H. Sukma, and DS A Sartono. "The Effect of Catalysts Addition to Silicone Rubber as Pressure Transmitting Medium in the Pebble Fuel Production Process." Journal of Physics: Conference Series 2048, no. 1 (2021): 012017. http://dx.doi.org/10.1088/1742-6596/2048/1/012017.

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Abstract Pebble Fuel is a spherical fuel for high temperature gas-cooled reactors (HTGR). This fuel must have a homogeneous density distribution. Hyperelastic material is used as a pressure transmitting medium (PTM) material in making Pebble fuel using the cold quasi-isostatic pressing method. PTM material properties and characteristics were predicted using the finite element analysis method. The problem is the type of material used and its suitable composition to make a pressure-transmitting medium that has the properties and characteristics of the material as predicted. This research discuss

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Magno, Melissa A., Arpita Nandi, and Ingrid E. Luffman. "Using Spatial Regression to Model Potentially Toxic Metal (PTM) Mobility Based on Physicochemical Soil Properties." Applied and Environmental Soil Science 2019 (August 4, 2019): 1–12. http://dx.doi.org/10.1155/2019/6432571.

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Mining processes generate waste rock, tailings, and slag that can increase potentially toxic metal (PTM) concentrations in soils. Un-reclaimed, abandoned mine sites are particularly prone to leaching these contaminants, which may accumulate and pose significant environmental and public health concerns. The characterization and spatial delineation of PTMs in soils is vital for risk assessment and soil reclamation. Bumpus Cove, a once active mining district of eastern Tennessee, is home to at least 47 abandoned, un-reclaimed mines, all permanently closed by the 1950s. This study evaluated soil p

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Eissa, Yomna, Hyeoung-Joon Kim, Joon Ho Moon, et al. "Multicenter, Real-World Experience Study of FLT3-Inhibitor Post-Transplant Maintenance Therapy Following Allogeneic Hematopoietic Stem Cell Transplantation in Acute Myeloid Leukemia with FLT3-ITD." Blood 144, Supplement 1 (2024): 778. https://doi.org/10.1182/blood-2024-208622.

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Introduction Patients of acute myeloid leukemia (AML) with FLT3-internal tandem duplication (ITD) carry a considerably higher risk of relapse, even after allogeneic hematopoietic stem cell transplantation (HCT). Post-transplant maintenance (PTM) using FLT3 inhibitors (FLT3i) is known to reduce the risk of relapse and to improve long-term outcomes significantly. Although there are randomized trials analyzing the outcomes of the different FLT3i PTM, real-world experience data is still lacking. Accordingly, we performed a multicenter retrospective study to analyze the survival benefit of FLT3i PT

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Yanti, Aqlima, M. Yani, Irwan Saputra, Nasrul Zaman, and T. Maulana. "An Analysis of Determinants Affecting the Utilization of Integrated Non-Communicable Disease Service Posts (Posbindu PTM) in the Ulee Kareng Public Health Center, Banda Aceh City: A Health Belief Model Approach." International Journal of Medical Science and Dental Health 11, no. 06 (2025): 101–27. https://doi.org/10.55640/ijmsdh-11-06-13.

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Non-communicable diseases (NCDs) are the leading cause of mortality worldwide, including in Indonesia, with a growing prevalence particularly in low- and middle-income countries. Banda Aceh City has recorded increasing rates of hypertension and diabetes mellitus. However, the utilization of early detection services through the Integrated Non-Communicable Disease Service Post (Posbindu PTM) remains suboptimal, with only 32% of the target population visiting the service at Ulee Kareng Public Health Center—far below the national target of 100%. This low utilization rate is presumed to be linked t

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Holzhäuser, Ulrich, and Rodney K. Lambert. "Analysis of tracheal mechanics and applications." Journal of Applied Physiology 91, no. 1 (2001): 290–97. http://dx.doi.org/10.1152/jappl.2001.91.1.290.

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We have developed a mathematical model for a tracheal ring that consists of a “horseshoe” of cartilage with its tips joined by a membrane. The ring is subjected to a uniform transmural pressure (Ptm) difference. The model was used to calculate the cross-sectional area ( A) of the trachea. Whereas the mechanics of the deformation of the cartilage were analyzed using elastica theory, the posterior membrane was treated as a simple membrane that is inextensible under changes in Ptm. The membrane can be specified to be of any length less than baseline and thus can represent a posterior membrane und

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Xiao, Jie, William Lee, Jianhui Jiang, and Xuhua Yang. "Circuit reliability estimation based on an iterative PTM model with hybrid coding." Microelectronics Journal 52 (June 2016): 117–23. http://dx.doi.org/10.1016/j.mejo.2016.03.013.

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Melton, Alexandra, Lara A. Doyle-Meyers, Robert V. Blair, et al. "The pigtail macaque (Macaca nemestrina) model of COVID-19 reproduces diverse clinical outcomes and reveals new and complex signatures of disease." PLOS Pathogens 17, no. 12 (2021): e1010162. http://dx.doi.org/10.1371/journal.ppat.1010162.

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The novel coronavirus SARS-CoV-2, the causative agent of COVID-19 disease, has killed over five million people worldwide as of December 2021 with infections rising again due to the emergence of highly transmissible variants. Animal models that faithfully recapitulate human disease are critical for assessing SARS-CoV-2 viral and immune dynamics, for understanding mechanisms of disease, and for testing vaccines and therapeutics. Pigtail macaques (PTM, Macaca nemestrina) demonstrate a rapid and severe disease course when infected with simian immunodeficiency virus (SIV), including the development

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Memah, Herlina P., Nurseha Djaafar, Jane A. Kolompoy, Jon W. Tangka, Ellen Pesak, and Johana Tuegeh. "<b>Pembentukan Desa Sehat Lansia Dalam Pengendalian Penyakit Tidak Menular Dengan Pendekatan Ipe/Ipc Melalui Pemberdayaan Kader Dan Tenaga Kesehatan</b>." Jurnal Pengabdian Masyarakat Komunitas Kesehatan 3, no. 1 (2025): 25–30. https://doi.org/10.47718/rzygzb68.

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Desa Sehat Lansia” merupakan inovasi sosial yang bertujuan meningkatkan kesadaran keluarga dan lansia dalam pengendalian penyakit tidak menular (PTM) seperti obesitas, hiperurisemia, hipertensi, dan diabetes melitus. Di Desa Kalasey II, cakupan skrining PTM masih rendah—dari 289 lansia, hanya 17,30% yang telah diskrining, dengan prevalensi hipertensi (8,65%), diabetes melitus (6,92%), dan obesitas (10,38%). Hambatan utama meliputi keterbatasan fasilitas, akses layanan, dan biaya. Data juga menunjukkan prevalensi hipertensi (60%), diabetes (50%), obesitas (60%), dan hiperkolesterol (30%). Kader

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Linthwaite, Victoria L., and Martin J. Cann. "A methodology for carbamate post-translational modification discovery and its application in Escherichia coli." Interface Focus 11, no. 2 (2021): 20200028. http://dx.doi.org/10.1098/rsfs.2020.0028.

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Carbon dioxide can influence cell phenotypes through the modulation of signalling pathways. CO 2 regulates cellular processes as diverse as metabolism, cellular homeostasis, chemosensing and pathogenesis. This diversity of regulated processes suggests a broadly conserved mechanism for CO 2 interactions with diverse cellular targets. CO 2 is generally unreactive but can interact with neutral amines on protein under normal intracellular conditions to form a carbamate post-translational modification (PTM). We have previously demonstrated the presence of this PTM in a subset of protein produced by

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Napier, Rebecca D., Julie Clark, and R. John Halsey. "Gifted Adolescent Girls Speak Out: A Psychosocial Theoretical Model of Career Development." Australasian Journal of Gifted Education 32, no. 2 (2023): 5–24. http://dx.doi.org/10.21505/ajge.2023.0012.

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The Psychosocial Theoretical Model of Gifted Adolescent Girls’ Career Development (PTM) is a framework which reveals the interrelated factors that influence career development for gifted adolescent girls. The model was developed during the completion of a PhD thesis (Napier, 2020) and provides important new insights to support their career trajectories and encourage further research. The PTM is a comprehensive and compact guide for gifted education stakeholders in their advisory, support, and decision-making roles for this population. In particular, it facilitates both population and more besp

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Vagiona, Aimilia-Christina, Sofia Notopoulou, Zbyněk Zdráhal, Mariane Gonçalves-Kulik, Spyros Petrakis, and Miguel A. Andrade-Navarro. "Prediction of protein interactions with function in protein (de-)phosphorylation." PLOS ONE 20, no. 3 (2025): e0319084. https://doi.org/10.1371/journal.pone.0319084.

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Protein–protein interactions (PPIs) form a complex network called “interactome” that regulates many functions in the cell. In recent years, there is an increasing accumulation of evidence supporting the existence of a hyperbolic geometry underlying the network representation of complex systems such as the interactome. In particular, it has been shown that the embedding of the human Protein-Interaction Network (hPIN) in hyperbolic space (H2) captures biologically relevant information. Here we explore whether this mapping contains information that would allow us to predict the function of PPIs,

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Kitanovski, Vlado, and Jon Yngve Hardeberg. "Objective evaluation of relighting models on translucent materials from multispectral RTI images." Electronic Imaging 2021, no. 5 (2021): 133–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.5.maap-133.

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In this paper, we evaluate the quality of reconstruction i.e. relighting from images obtained by a newly developed multispectral reflectance transformation imaging (MS-RTI) system. The captured MS-RTI images are of objects with different translucency and color. We use the most common methods for relighting the objects: polynomial texture mapping (PTM) and hemispherical harmonics (HSH), as well as the recent discrete model decomposition (DMD). The results show that all three models can reconstruct the images of translucent materials, with the reconstruction error varying with translucency but s

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Justil-Guerrero, Hugo Jesús, Jorge Luis Arroyo-Acevedo, Juan Pedro Rojas-Armas, et al. "Evaluation of Bioactive Compounds, Antioxidant Capacity, and Anti-Inflammatory Effects of Lipophilic and Hydrophilic Extracts of the Pericarp of Passiflora tripartita var. mollissima at Two Stages of Ripening." Molecules 29, no. 20 (2024): 4964. http://dx.doi.org/10.3390/molecules29204964.

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Chronic disease inflammation requires safe complementary treatments. The pericarp of Passiflora tripartita var. mollissima (PTM) contains potential anti-inflammatory metabolites. This study aimed to evaluate the bioactive components, antioxidant capacity, and anti-inflammatory effects of PTM extracts at two ripening stages. The bioactive compounds in the hydrophilic and lipophilic extracts of mature and green pericarps were identified by GC-MS and UV–VIS, while the antioxidant capacity was measured by free radical reduction. Anti-inflammatory effects were tested using a rat paw edema model wit

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Hapsari, F. R., D. Samsudewa, E. T. Setiatin, et al. "Seasonal effect on semen quality of Limousine and Simmental bulls." Journal of the Indonesian Tropical Animal Agriculture 47, no. 4 (2022): 340–45. http://dx.doi.org/10.14710/jitaa.47.4.340-345.

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This study aimed to determine the effect of breed and season on the semen quality of AI bulls. The material used was n= 78,648 records of ejaculated semen from 85 Limousine and 88 Simmental bulls collected between period 2010 and 2020. Semen qualities evaluated in the study were: ejaculate vol-ume (Vol), pH, individual sperm motility (ISM), sperm concentration (SC), and post-thawing motility (PTM). The data was analyzed by using a MIXED model with breeds and seasons as fixed effects and animals as random effects. The seasons were significant (p<0,05) on Vol, ISM, SC, and PTM, then the inter

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