Prevalence and determinants of Acute Respiratory Infections in children under five in rural mysuru: insights from a cross-sectional study by Nayanabhai Shabad, Anchu R Nath, Manirsha P V

“…Materials & methods A community-based cross-sectional study was conducted in rural areas of Mysuru from January to June 2024. A sample of 400 children under five years old was selected using a convenience sampling method. …”
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Donafenib combined with sintilimab for advanced hepatocellular carcinoma: a single arm phase II trial by Xiaoyang Hong, Yongjian Guo, Wenbo Shi, Kangshun Zhu, Licong Liang, Liteng Lin, Ye Chen, Jingwen Zhou, Jingjun Huang, Jiabai Huang, Yaozhu Wu, Wensou Huang, Mingyue Cai

“…As 3 patients (50.0%) experienced DLTs during safety run-in, the initial dose of donafenib was adjusted to 200 mg once daily for subsequent patients. …”
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Scoping review: relationship between glucose tolerance and pulmonary decline in cystic fibrosis by Raina Tomoda, Deborah Jane Holmes-Walker

“…Electronic database searches were performed on Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE), and the Cochrane Central Register of Controlled Trials in June 2023. Studies that assessed glucose levels from glucose tolerance test (GTT) and/or CGM and their relationship to %FEV1 and FVC were included. …”
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Determinants of burnout syndrome among undergraduate nursing students in Poland: a cross-sectional study by Katarzyna Szwamel, Wiesława Kowalska, Ewa Mazur, Anna Janus, Iwona Bonikowska, Justyna Jasik-Pyzdrowska

“…Methods A cross-sectional study was conducted among 841 bachelor’s degree nursing students from March 2022 to June 2022. The Maslach Burnout Inventory, Athens Insomnia Scale, Modified Hospital Anxiety and Depression Scale, and Perceived Stress Scale were used. …”
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Production of Biogas and Bio-fertilizer from Abattoir Waste as Sustainable Management, Eastern Ethiopia, 2019 by Sina Temsgen Tolera, Fekade Ketema Alemu

“…The study concluded that huge amount of biogas and dry bio-fertilizer yields could produce from abattoir waste  through fed batch anaerobic digestion. …”
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Laparoscopic suture repair for perforated peptic ulcer disease: a meta-review and trial sequential analysis by S. I. Panin, T. V. Nechay, I. V. Sazhin, K. Yu. Melnikov-Makarchuk, A. V. Sazhin, A. V. Puzikova, A. N. Akinchits, A. V. Bykov

“…Meta-epidemiology, as a form of evidence synthesis, allows for the pooling of data and assessment of the diversity present in multiple and overlapping SRs.Aim of the researchThis study aimed to summarize evidence from systematic reviews of randomized controlled trials and reanalyze outcome data on laparoscopic suture repair of perforated peptic ulcers using trial sequential analysis (TSA).Materials and methodsThe Cochrane Library, PubMed, Embase, CINAHL, eLibrary, and ClinicalTrials.gov were searched before 1 June 2024. …”
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Bacteraemia in a Nigerian hospital: Implementing antimicrobial resistance surveillance by Adewale A. Amupitan, Adeyemi T. Adeyemo, Adefunke O. Amupitan, Temitope O. Obadare, Aaron O. Aboderin

“…Methods: Case finding was by WHO Global AMR and Use Surveillance System (GLASS). Blood samples were processed between May 2017 and June 2018, using BACTEC blood culture system. …”
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Spatial and temporal epidemiology of SARS-CoV-2 virus lineages in Teesside, UK, in 2020: effects of socio-economic deprivation, weather, and lockdown on lineage dynamics by Moss, E.D., Rushton, S.P., Baker, P., Bashton, M., Crown, M.R., dos Santos, R.N., Nelson, A., O’Brien, S.J., Richards, Z., Sanderson, R.A., Yew, W.C., Young, G.R., McCann, C.M., Smith, D.L.

“…Examination of viral lineages at the sub-regional scale was less useful in terms of investigating covariate associations but may be more useful for tracking spread within communities. …”
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Perspectives of substance use disorder counselors on the benefits and drawbacks of medications for opioid use disorder by Nicholas C. Cardamone, Rebecca E. Stewart, Kyle M. Kampman, Steven C. Marcus

Subjects: “…Medications for opioid use disorder…”
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The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults by Hehua Zhang, Yong Feng, Honghao Yang, Yuqian Li, Zheng Ma, Liuxin Li, Liangkai Chen, Yuhong Zhao, Lishen Shan, Yang Xia

“…PM2.5 exposure was predicted using a validated Land Use Regression model. Incident asthma was identified by linking with medical encounters or first occurrence source. …”
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Characteristics and contributing factors of adverse drug reactions: an analytical study of patients with tuberculosis receiving treatment under the National TB Program of India [ve... by Jay Patel, Priya Bhavsar, Harsh Shah, Sandul Yasobant, Deepak Saxena, Anish Sinha, Somen Saha, Yogesh Patel

“…ADR with mild symptoms was reported by more than a quarter (29%) of TB patients during the intensive phase (77%). …”
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The Muscadine Grape (Vitis rotundifolia Michx) by Peter C. Andersen, Ali Sarkhosh, Dustin Huff, Jacque Breman

“…Wild muscadine grapes are functionally dioecious due to incomplete stamen formation in female vines and incomplete pistil formation in male vines. …”
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The prevalence of malaria in the five districts of Limpopo Province, South Africa, 2015 - 2017 by M T Lamola, A Musekiwa, A de Voux, C Reddy, M Morifi, P C Mutevedzi

“…In South Africa (SA), malaria is endemic in three of nine provinces – KwaZulu-Natal, Mpumalanga and Limpopo. During 2010 - 2014, SA reported that ~47.6% of all malaria cases were imported. …”
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Exclusive breastfeeding practices and factors affecting them in urban areas of Uttar Pradesh by Prakhar Sharma, Neha Bansal, Abha Kaul

“…Among the children, 62.5% were male. Colostrum was given by 86% of mothers, and 40% introduced pre-lacteal feeds. …”
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Cord Blood pH and Lactate- A Step Ahead in Diagnosis of Fetal Acidaemia in Patients with Abnormal Cardiotocography by Indrani Mukhopadhyay, Sanjay Singh, Sushila Kachatti

“… OBJECTIVES: Electronic fetal monitoring (EFM) is used to identify early signs of fetal deterioration. …”
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The impact of mobile health interventions on service users' health outcomes and the role of health professions: a systematic review of systematic reviews by Fathiya Alkhuzaimi, Deborah Rainey, Christine Brown Wilson, Jacqueline Bloomfield

“…Methods Five electronic databases—EMBASE, CINAHL Plus, Medline, Web of Science, and the Cochrane Library—were searched for systematic reviews published between 1 January 2015 and 8 June 2024. Reviews focused on the impact of mHealth interventions on service users' outcomes and the role of health professions in promoting adoption were included. …”
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MUC5B modulation of early oral biofilm glucose metabolism by Carolina Robertsson, Carolina Robertsson, Julia Davies, Gunnel Svensäter, Anders Bay Nord, Niclas Norrström, Claes Wickström

Subjects: “…salivary mucin MUC5B…”
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Establishment of a rapid and quantitative method for detecting the range of infection exposure in preclinical dental education by Ayaka Ueda, Yuki Shinoda-Ito, Kazu Takeuchi-Hatanaka, Takashi Ito, Shintaro Ono, Kimito Hirai, Kazuhiro Omori, Tadashi Yamamoto, Shogo Takashiba

“…The mixed liquid of yogurt and hand lotion was used as artificial saliva. …”
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Perbandingan Aplikasi Algoritma Kernel K-Means pada Graf Bipartit dan K-Means pada Matriks Dokumen- Istilah dalam Dataset Penelitian Covid-19 RISTEKBRIN by Budi Nugroho

“…Indeks Dunn digunakan karena dalam dataset tidak tersedia informasi awal mengenai label atau nama dari masing-masing klaster. Hasil penelitian ini menunjukkan bahwa algoritma  kernel k-means memberikan validasi yang sedikit lebih baik dibandingkan dengan k-means. …”
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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…The main objectives of this study were to (1) evaluate the application of machine learning (ML) algorithms to predict the average daily gain (ADG), feed conversion ratio (FCR), and residual feed intake (RFI) values during the whole growing and furring period (15 weeks from August 1st to November 14th) using less expensive features such as sex, color type, age, BW and length; (2) find the most significant contributing feature within the growth and furring period to predict the ADG, FCR and RFI. …”
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