Repositioning of moxidectin: a promising approach in cutaneous leishmaniasis therapy by Al Samra Lynn, El Nahas Mohamad, Mneimneh Ilham, Tokajian Sima, Nemer Georges, Sinno Aia, Rahy Kelven, Thoumi Sergio, Zibara Zahraa, El Khatib Ahmad, Sabbagh Dalal, Guillot Jacques, Karam Louna, Ali Lazo, Baghdadi Ruqaya, Al Khoury Charbel

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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

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Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: A case study on orca (Orcinus orca) vocalizations by Fabio Frazao, Ruth Joy, Michael Dowd

“…In this study, we compare 9 acoustic representations and evaluate how they affect the performance of a DNN in classifying acoustic signals. …”
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations by V. Murugesh, M. Priyadharshini, T. R. Mahesh, Esmael Adem Esleman

“…Abstract Solving Ordinary Differential Equations (ODEs) is an essential and very challenging computational problem in many areas of science and engineering like physics, biology, control system, and economics. …”
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ANCHOR-Grid: Authenticating Smart Grid Digital Twins Using Real-World Anchors by Mohsen Hatami, Qian Qu, Yu Chen, Javad Mohammadi, Erik Blasch, Erika Ardiles-Cruz

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HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures by M. Rus, M. Rus, H. Mihanović, M. Ličer, M. Ličer, M. Kristan

“…The classical approach to this challenge involves computationally intensive ocean models that typically calculate sea levels relative to the geoid, which must then be correlated with local tide gauge observations of sea surface height (SSH). …”
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CosPoint Transformer: Enhancing 3-D Semantic Segmentation With Cosine Similarity Attention and Cross-Attention by Thien Huynh-The, Minh-Thanh Le, Won Jae Ryu, Anh-Kiet Vo

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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

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Human–forest interaction of useful plants in the Wof Ayzurish Forest, North Showa Zone, Ethiopia: cultural significance index, conservation, and threats by Yirefu Tefera, Ermias Lulekal, Bikila Warkineh

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Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction by Zhibo Wang, Ling Zhu, Shunli Liu, Dalue Li, Jingnong Liu, Xiaoming Zhou, Yuxi Wang, Ruiqing Liu

“…The performance of clinical, radiomic, and combined nomogram models was evaluated in both cohorts. Results Of the 188 patients, 92 underwent surgical resection, while 96 did not. …”
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SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation by Brandon Theodorou, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun

“…Our research introduces SECONDGRAM, a robust framework utilizing neural diffusion models enhanced with self-conditioned learning and gradient manipulation techniques. These models are computer algorithms that simulate how information changes. …”
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Simultaneous inactivation of antibiotic-resistant bacteria and degradation of antibiotic-resistant genes in alkalised human urine by Natnael Demissie, Natnael Demissie, Annika Nordin, Prithvi Simha, Isis Conroy, He Sun, Anna Schnürer, Björn Vinnerås, Adey Desta, Adey Desta

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Exploring antimicrobial properties and oral health benefits of salix subserrata willd: unveiling the potential beyond its use as traditional chewing stick by Fekade Beshah Tessema, Tilahun Belayneh Asfaw, Mesfin Getachew Tadesse, Rakesh Kumar Bachheti, Yilma Hunde Gonfa, Dawit Sitotaw Addisie, Terefe Gebremariam Aregahegn, Tigist Getachew Tadesse, Megersa Aboneh

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Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter by Sena Alemu Wondimu, Desalegn Tsega Dagne, Kinde Anlay Fante

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Structural modification of supply chains in the imperatives of circular economy by Ivan Kudrenko, Almas Mukhametov, Emin Shahin Aslanov

“…To achieve this, the research employs a range of statistical methods, including Six Sigma, Pareto analysis, Theory of Constraints, and regression analysis, to identify and address weaknesses within the supply chain. Mathematical computations are utilized to evaluate the effectiveness and necessity of implemented technologies within the supply chain links. …”
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Hepatic Dearterialization for Nonresectable Liver Tumors in Five Dogs and Two Cats by Michelle T. Nguyen, Chick Weisse, Stacy Kaneko

“…Repeat imaging identified tumor regression in 3/4 patients evaluated by computed tomography (CT). Survival time ranged from 50 to 505 days. …”
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An open-source interactive AI framework for assisting automatic literature review in forensic medicine: Focus on brain injury mechanisms. by Ya-Wen Liu, Dong-Hua Zou, He-Wen Dong, Yuan-Yuan Liu, En-Hao Fu, Zhi-Ling Tian, Ning-Guo Liu

“…Third, gold standard were translated into computational languages to evaluate ASReview's capacity to address real-world systematic review objectives.…”
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Effects of Incorporating Carboxymethyl Chitosan into PMMA Bone Cement Containing Methotrexate. by Bo-Ming Liu, Ming Li, Bao-Sheng Yin, Ji-Yang Zou, Wei-Guo Zhang, Shou-Yu Wang

“…Implants of MTX-PMMA and (CMCS+MTX)-PMMA cement were evaluated in vivo in guinea pig femurs over time using spiral computed tomography with three-dimensional image reconstruction, and SEM at 6 months. …”
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Diagnostic value of plasma homocysteine for diabetic kidney disease:a meta-analysis by CHEN Ren-gui, GAO Ping, WU Xiao-yan

“…Objective To evaluate the diagnostic value of plasma homocysteine for diabetic kidney disease(DKD).Methods The databases of the Cochran Library,PubMed,CNKI,WanFang Database,and CBM were retrieved by computer for collecting the relative literature about diagnostic value of plasma homocysteine for DKD from inception to September 20 th,2015.Two reviewers independently and strictly screened literature according to the inclusion and exclusion criteria.The tools of quality assessment of diagnostic accuracy studies(QUADAS) were used to assess the quality of included studies.Meta-analysis was then performed using Meta-Disc 1.4 software.The pooled sensitivity,specificity,positive likehihood ratio,negative likelihood ratio and diagnostic odds ratio(DOR)were calculated,the summary receiver operating characteristic curve(SROC) was drawn,and the area under the curve(AUC) and Q* value were calculated.The publication bias was evaluated using Stata11.0 software.Results A total of 15 studies involving 2964 cases were inculded.The results of metaanalysis showed that the pooled sensitivity was 0.78(95%CI:0.75- 0.80);specificity was 0.85(95%CI:0.83- 0.87);positive likehihood ratio was 5.87(95%CI:3.81- 9.04);negative likelihood ratio was 0.26(95%CI:0.17- 0.39);DOR was 27.02(95%CI:12.52- 58.30);the AUC of SROC was 0.9154;Q* value was 0.8481.Deek’s funnel plot showed that there was no significant publication bias.Conclusions The present research evidence showed that the test of plasma homocysteine has the higher value of diagnosing DKD.Because of an intermediate-level sensitivity,it still needs the test of combination with urine mircoalbumin to reduce missing diagnostic rate.…”
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