Increased Fracture Risk After Bariatric Surgery: a Case-Controlled Study with a Long-Term Follow-Up حسب Omar Suhail Alsaed (14151861)

"…The median duration for time to fracture was 4.17 years for the surgical group and 6.09 years for controls (p-value = 0.097). …"

Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases حسب Kesmodel, Susan

"…Conclusion Neither the use of BV nor timing of BV administration was associated with an increase in complication rates. …"
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Increased Frequency of Severe Hypoglycemia with the Modified-Release Gliclazide Compared to Glimepiride in Diabetic Older Adults; Propensity Score-Adjusted Analysis حسب Ahmed Fouad Algendy (18102706)

"…The risk of SHEA (Adjusted Odds Ratio AOR 6.74, p=0.002), falls (AOR 1.43, p=0.003), fractures (AOR 1.43, p=0.01), CVEA (AOR 1.66, p< 0.001), recurrent ED admission (AOR 1.39, p=0.002) were significantly higher. At the same time, documented hypoglycemia was insignificantly higher (AOR 1.17, p= 0.444) with gliclazide MR compared to glimepiride. …"

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction حسب Yassine Himeur (14158821)

"…This paper presents an efficient non-intrusive load monitoring framework that consists of the following main components: (i) a novel fusion of multiple time-domain features is proposed to extract appliance fingerprints; (ii) a dimensionality reduction scheme is introduced to be applied to the fused time-domain features, which relies on fuzzy-neighbors preserving analysis based QR-decomposition. …"

Effect of sulfonated poly (ether ether ketone) on the sensitivity of polyvinylidene fluoride-based resistive humidity sensors حسب Shoaib Mallick (14578565)

"…Moreover, the response and recovery times of the PVDF-SPEEK (2.5−5 wt%) are found to be 25 s and 65 s, respectively.…"

A heuristics for HTTP traffic identification in measuring user dissimilarity حسب Adeyemi R. Ikuesan (14157123)

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation حسب Rawan AlSaad (14159019)

"…However, in practice, a patient’s visits are irregularly spaced over a relatively long period of time, and disease progression patterns exhibit non-stationarity. …"

Towards electric digital twin grid: Technology and framework review حسب Md. Mhamud Hussen Sifat (17337913)

"…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …"

Challenges for road safety in fast developing societies: We need a vision zero to permanently reduce accidents and save life and health by facing fast increasing traffic حسب Kurt Bodewig (19794543)

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…In this article, we investigate the problem of missing data or noisy information in the context of real-time monitoring and forecasting of traffic congestion for road networks in a city. …"

Exendin-4 promotes GSIS without increasing β-cell number through upregulation of glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes in hPSC-deriv... حسب Abdoulaye Diane (14152749)

"…</p> <p>Conclusion: Our data demonstrated for the first time in 3D differentiation of hPSC-derived β-cells that addition of Exendin-4 promotes GSIS through upregulation of both glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes without increasing β-cell number.…"

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring حسب Zina Chkirbene (16869987)

"…In this context, Deep Reinforcement Learning (DRL) emerges as a technological advancement that improves the healthcare by enabling smart, adaptive, and real-time decision-making processes. Existing DRL applications in resource allocation, however, face significant challenges. …"

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities حسب Liaqat Ali (641438)

"…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …"

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"

Surgical Management of Hepatic Benign Disease: Have the Number of Liver Resections Increased in the Era of Minimally Invasive Approach? Analysis from the I Go MILS (Italian Group o... حسب Ardito, Francesco

"…During the same period, 3713 liver resections (open + MILS) were performed and 407 (11.0%) were for BD. A time-trend analysis showed that the total number of MILS and the number of MILS for malignant disease significantly increased, but this increasing trend was not documented for the number of MILS for BD, which remained stable during the study period of time. …"
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Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique حسب Iqbal Hassan (22155274)

"…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …"

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations حسب Mohamed Massaoudi (16888710)

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

"…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …"

"Development of Authentic Annual and Seasonal Lightning Thunderstorms Day Maps for Saudi Arabia" حسب Shwehdi, M. H.

"…The southern region in general, and especially the cities of Abha, Taif and Al-Baha, has shown greater numbers of thunderstorm days all year round. …"
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