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A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications

Author(s): Espinosa S; Silva JF; Céspedes S;

A central challenge in hypothesis testing (HT) lies in determining the optimal balance between Type I (false positive) and Type II (non-detection or false negative) error probabilities. Analyzing these errors' exponential rate of convergence, known as e ...

Article GUID: 39056958


NREM sleep brain networks modulate cognitive recovery from sleep deprivation

Author(s): Lee K; Wang Y; Cross NE; Jegou A; Razavipour F; Pomares FB; Perrault AA; Nguyen A; Aydin Ü; Uji M; Abdallah C; Anticevic A; Frauscher B; Ben ...

Decrease in cognitive performance after sleep deprivation followed by recovery after sleep suggests its key role, and especially non-rapid eye movement (NREM) sleep, in the maintenance of cognition ...

Article GUID: 39005401


Modelling reindeer rut activity using on-animal acoustic recorders and machine learning

Author(s): Boucher AJ; Weladji RB; Holand Ø; Kumpula J;

For decades, researchers have employed sound to study the biology of wildlife, with the aim to better understand their ecology and behaviour. By utilizing on-animal recorders to capture audio from freely moving animals, scientists can decipher the vocalizat ...

Article GUID: 38932958


Carbon based sensors for air quality monitoring networks; middle east perspective

Author(s): Shahid I; Shahzad MI; Tutsak E; Mahfouz MMK; Al Adba MS; Abbasi SA; Rathore HA; Asif Z; Chen Z; ...

IoT-based Sensors networks play a pivotal role in improving air quality monitoring in the Middle East. They provide real-time data, enabling precise tracking of pollution trends, informed decision- ...

Article GUID: 38831915


The impact of directed choice on the design of preventive healthcare facility network under congestion

Author(s): Vidyarthi N; Kuzgunkaya O;

Preventive healthcare (PH) programs and services aim at reducing the likelihood and severity of potentially life-threatening illness by early detection and prevention. The effectiveness of these programs depends on the participation level and the accessibil ...

Article GUID: 24879402


Social network dynamics, infant loss, and gut microbiota composition in female Colobus vellerosus during time periods with alpha male challenges

Author(s): Samartino S; Christie D; Penna A; Sicotte P; Ting N; Wikberg E;

The gut microbiota of group-living animals is strongly influenced by their social interactions, but it is unclear how it responds to social instability. We investigated whether social instability associated with the arrival of new males and challenges to th ...

Article GUID: 38735025


The immunomodulatory effect of oral NaHCO3 is mediated by the splenic nerve: multivariate impact revealed by artificial neural networks

Author(s): Alvarez MR; Alkaissi H; Rieger AM; Esber GR; Acosta ME; Stephenson SI; Maurice AV; Valencia LMR; Roman CA; Alarcon JM; ...

Stimulation of the inflammatory reflex (IR) is a promising strategy for treating systemic inflammatory disorders. Recent studies suggest oral sodium bicarbonate (NaHCO3) as a potential activator of ...

Article GUID: 38549144


Substrate specificity mapping of fungal CAZy AA3_2 oxidoreductases

Author(s): Zhao H; Karppi J; Mototsune O; Poshina D; Svartström J; Nguyen TTM; Vo TM; Tsang A; Master E; Tenkanen M; ...

Background: Oxidative enzymes targeting lignocellulosic substrates are presently classified into various auxiliary activity (AA) families within the carbohydrate-active enzyme (CAZy) database. Amon ...

Article GUID: 38539167


CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets

Author(s): Islam M; Zunair H; Mohammed N;

Crafting effective deep learning models for medical image analysis is a complex task, particularly in cases where the medical image dataset lacks significant inter-class variation. This challenge is further aggravated when employing such datasets to generat ...

Article GUID: 38492455


Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach

Author(s): Sasikumar DSN; Thiruselvam P; Sundararajan V; Ravindran R; Gunasekaran S; Madathil D; Kaliamurthi S; Peslherbe GH; Selvaraj G; Sudhakaran SL ...

Parkinson's disease (PD) is a complex neurological disease associated with the degeneration of dopaminergic neurons. Oxidative stress is a key player in instigating apoptosis in dopaminergic ne ...

Article GUID: 38460310


A network approach to subjective cognitive decline: Exploring multivariate relationships in neuropsychological test performance across Alzheimer's disease risk states

Author(s): Grunden N; Phillips NA; ;

Subjective cognitive decline (SCD) is characterized by subjective concerns of cognitive change despite test performance within normal range. Although those with SCD are at higher risk for developing further cognitive decline, we still lack methods using obj ...

Article GUID: 38458017


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