Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Traditional retention time approaches heavily rely on the use of standard compounds, which is limited by the speed of synthesis and manufacture of standard products, and is time-consuming and labor-intensive. Recently, machine learning and artificial intelligence algorithms have been applied to retention time prediction, which show unparalleled advantages over traditional experimental methods. …”
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Investigating a caregiver-assisted social skills group programme for primary and early high school-aged children with acquired brain injury or cerebral palsy: protocol for a pilot... by Koa Whittingham, Roslyn N Boyd, Rose Gilmore, Leanne Sakzewski, Nicola Hilton, Afroz Keramat, Bianca Thompson, Jacqui Barfoot, Christine T Moody

“…Secondary outcomes include the Social Skills Improvement System Social-Emotional Learning Edition Rating Forms and Quality of Play Questionnaire immediately postintervention, 12 weeks postintervention (26 weeks postbaseline), 36 weeks postintervention (52 weeks postbaseline) for retention. …”
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A novel multi-model estimation of phosphorus in coal and its ash using FTIR spectroscopy by Arya Vinod, Anup Krishna Prasad, Sameeksha Mishra, Bitan Purkait, Shailayee Mukherjee, Anubhav Shukla, Nirasindhu Desinayak, Bhabesh Chandra Sarkar, Atul Kumar Varma

“…In this article, we explore the potential of FTIR spectroscopy combined with machine learning models (piecewise linear regression—PLR, partial least square regression—PLSR, random forest—RF, and support vector regression—SVR) for quantifying the phosphorus content in coal and coal ash. …”
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Роль искусственного интеллекта в прогнозировании трудных дыхательных путей у взрослых: обзор литературы... by Андрей Юрьевич Зайцев, А. Б. Сорокин, Ю. А. Зайцев, К. В. Дубровин, Э. Г. Усикян

“…Поисковыми словами для англоязычных баз данных были artificial intelligence, deep learning, difficult airways; для русскоязычных — искусственный интеллект, глубокое машинное обучение, трудные дыхательные пути. …”
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Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

“…Results 823 samples, 531 from a 12.2 megapixel camera and 256 from a 12.2 megapixel camera, were collected. 26 samples were excluded by the study coordinator for irregularities. 97% of fingernails and 68% of skin samples were successfully identified by a post-trained machine learning model. Separate models built to detect anemia using images taken from the Pixel 3 had an average precision of 0.64 and an average recall of 0.4, whereas models built using the Pixel 6 had an average precision of 0.8 and an average recall of 0.84. …”
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CEST imaging combined with 1H-MRS reveal the neuroprotective effects of riluzole by improving neurotransmitter imbalances in Alzheimer’s disease mice by Yuanyu Shen, Xiaolei Zhang, Siqi Liu, Lijing Xin, Wentao Xuan, Caiyu Zhuang, Yue Chen, Beibei Chen, Xinhui Zheng, Renhua Wu, Yan Lin

“…Results GluCEST, GABACEST and 1H-MRS consistently revealed higher levels of Glu and GABA in the brain of riluzole-treated AD mice compared to untreated controls, which were associated with improvements in spatial learning and memory. The cognitive improvements significantly correlated with the increased GluCEST signals and Glu levels. …”
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Wunsch nach Mitgestaltung als Berufswahlmotiv – eine qualitative Analyse zur Berufswahl von Studierenden der Sonderpädagogik by Ralf Schieferdecker, Veronika Dumbacher, Teresa Sansour, Gregor Frirdich

“…Regardless of whether reference is made to smaller learning groups, a different understanding of performance or more diverse career prospects, the opposite pole is always the mainstream teaching profession. …”
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Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

“…In studies using deep learning for 2D images, those employing CNN reported a mean error of 5.11 days (95% CI: 1.85, 8.37) in gestational age estimation, while one using DNN indicated a mean error of 5.39 days (95% CI: 5.10, 5.68). …”
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A PEDAGOGIA DA ALTERNÂNCIA COMO PROPOSTA DE EDUCAÇÃO NO CAMPO: UM ESTUDO NA ESCOLA FAMÍLIA AGRÍCOLA ITAPIREMA EM RONDÔNIA, BRASIL by Claudineia Ferreira dos Santos, Charles Carminati de Lima, Yanet Reimondo Barrios, Daniete Fernandes Rocha

“…It was found that the teaching and learning relationship among teachers and students of the EFA is based on four pillars: Integral Education, Alternation Pedagogy, Social Inclusion and Associativism. …”
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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…Our proposed machine learning pipeline showcases the potential of reservoir computing to define causality and therefore directed graph networks, which can in turn be used in a directed graph classifier and explainable analysis of neuroimaging data. …”
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Baseline liver fibrosis-4 score correlates to the progression of anxiety and cognitive impairment in patients with Parkinson’s disease by Yongqing Cheng, Yongqing Cheng, Li Chen, Honghong Zhu, Yingchao Ge, Lei Li, Yan Guo, Xin Wang, Shuangfei You, Guojun He, Shouru Xue

“…Differences in the progression of clinical scales over five years were compared using generalized linear mixed models (GLMM).ResultsBaseline FIB-4 levels positively correlated to scores of baseline section III of the Unified-Parkinson Disease Rating Scale (UPDRS III) (r = 0.145, p = 0.017), Epworth Sleepiness Scale (EPSS) (r = 0.140, P = 0.022), Hopkins Verbal Learning Test (HVLT)-delayed recall (r = 0.128, P = 0.036) and HVLT-retention (r = 0.128, p = 0.036). …”
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Dynamics and associations of selected agrometeorological variables in Robusta growing regions of Uganda by Ronald Ssembajwe, Catherine Mulinde, Saul D. Ddumba, Godfrey H. Kagezi, Ronald Opio, Judith Kobusinge, Frank Mugagga, Yazidi Bamutaze, Anthony Gidudu, Geoffrey Arinaitwe, Mihai Voda

“…We employed novel trend test and signal decomposition methods along with machine learning and correlation methods. Results show significantly increasing trends in monthly Vapor Pressure Deficit (VPD) in Amolatar, Kabale and Mbale while, Arua, Kituza and Masindi had decreasing trends. …”
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Call to Action: Lead Pharmacy into the Next Decade by Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Gregory Zumach

“…Currents in Pharmacy Teaching and Learning, 2021;13(10): 1259-1260. • Kouzes, JM, & Posner, BZ. …”
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Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

“…Recent trends indicate that mobile health technologies and machine learning have emerged as key focal points in the application of artificial intelligence in the field of chronic disease management.ConclusionDespite significant advancements in the application of AI in chronic disease management, several critical challenges persist. …”
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Vertical distribution and variability of soil organic carbon and CaCO3 in deep Colluvisols modeled by hyperspectral imaging by Jessica Reyes-Rojas, Julien Guigue, Daniel Žížala, Vít Penížek, Tomáš Hrdlička, Petra Vokurková, Aleš Vaněk, Tereza Zádorová

“…A variety of nonlinear machine learning techniques such as cubist regression tree (Cubist), random forest (RF), support vector machine regression (SVMR) and one linear technique partial least square regression (PLSR) were compared to determine the most suitable model for the prediction of SOC and CaCO3 content in each profile. …”
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Development and validation of an integrated model for the diagnosis of liver cirrhosis with portal vein thrombosis combined with endoscopic characters and blood biochemistry data:... by Jie Yang, Xu Zhang, Jia Chen, Xianghong Hou, Minghong Shi, Longlong Yin, Longchun Hua, Cheng Wang, Xiaolong Han, Shuyan Zhao, Guolan Kang, Ping Mai, Rui Jiang, Hongwei Tian

“…Variables were collected from blood test and endoscopic signs using machine learning method (ML). Logistic regression determined risk factors. …”
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Effects of a multicomponent resistance-based exercise program with protein, vitamin D and calcium supplementation on cognition in men with prostate cancer treated with ADT: seconda... by Helen Macpherson, Robin M Daly, Patricia M Livingston, Declan G Murphy, Patrick J Owen, Timo Rantalainen, Niamh L Mundell, Jeremy L Millar, Steve F Fraser, Jack Dalla Via, Stephen J Foulkes

“…Objectives The aim of this preplanned secondary analysis of a 12-month randomised controlled trial was to investigate the effects of a multicomponent exercise programme combined with daily whey protein, calcium and vitamin D supplementation on cognition in men with prostate cancer treated with androgen deprivation therapy (ADT).Design 12-month, two-arm, randomised controlled trial.Setting University clinical exercise centre.Participants 70 ADT-treated men were randomised to exercise-training plus supplementation (Ex+ Suppl, n=34) or usual care (control, n=36).Intervention Men allocated to Ex + Suppl undertook thrice weekly resistance training with weight-bearing exercise training plus daily whey protein (25 g), calcium (1200 mg) and vitamin D (2000 IU) supplementation.Primary and secondary outcome measures Cognition was assessed at baseline, 6 and 12 months via a computerised battery (CogState), Trail-making test, Rey auditory-verbal learning test and Digit span. Data were analysed with linear mixed models and an intention-to-treat and prespecified per-protocol approach (exercise-training: ≥66%, nutritional supplement: ≥80%).Results Sixty (86%) men completed the trial (Ex + Suppl, n=31; control, n=29). …”
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COMUNICARE ALL’UNIVERSITÀ: QUANDO L’INTERAZIONE ORALE SI FA PLURILINGUE by Cristiana Cervini, Emanuela Paone

“…In this contribution, we aim to explore the characteristics of academic communication in teaching and learning contexts of intercomprehension between Romance languages, based on a corpus of oral interactions in Italian, Portuguese, and Spanish, video-recorded during training courses addressed to students of Management Engineering and Veterinary Medical Sciences from the University of Bologna, the Universidad Nacional de Rosario, and the Universidade de São Paulo. …”
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Importance and fitness of family medicine milestone project from America to Taiwan by Shih-Ming Li, Yaw-Wen Chang, Ming-Nan Lin, Chi-Wei Lin, Chyi-Her Lin, Cheng-Chieh Li, Ming-Hwai Lin, Yin-Fan Chang, Zih-Jie Sun, Fang-Yih Liaw, Jaw-Shiun Tsai, Shinn-Jang Hwang, Li-Kuang Chen, Jin-Shang Wu

“…Abstract Background The six core competencies of ACGME - patient care (PC), medical knowledge (MK), systems-based practice (SBP), practice-based learning and improvement (PBLI), professionalism (PROF), and interpersonal and communication skills (ICS) - represent domains in which physicians must ultimately demonstrate competence. …”
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Can Ethiopia eliminate malaria? Malaria burden: insights from the pre-elimination era, current challenges and perspectives by Dagmawi Woldesenbet, Yalewayker Tegegne, Abdulhakim Mussema, Elias Tamene, Kemal Mohamed, Wagaw Abebe, Melese Mekuria, Kasahun Bogale, Habtamu Geremew, Mufta Muzemil Shifa, Mulugeta Aemero Tegegne

“…To reverse the rising trend of malaria cases, it is necessary to customize intervention strategies through active community engagement, rigorous healthcare infrastructure, and learning from countries that have successfully eliminated malaria.ConclusionWhile past successes are notable, they do not guarantee current progress, highlighting the need for rigorous implementation of strategies and adaptation of intervention methods to ensure the success of malaria elimination efforts. …”
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