Miracle-dz/UniFAR-FTUs huggingface dataset:
Higher training loads affect sleep in endurance runners: Can a high-heat-capacity mattress topper mitigate negative effects?

ABSTRACT This study investigates the impact of a training program on sleep among endurance runners and the benefits of chronically using a high-heat-capacity mattress topper (HMT). Twenty-one trained male athletes performed a 2-week usual training regimen, sleeping on a Low-heat-capacity Mattress Topper (LMT), followed by 2-week overload and taper periods. From overload, participants were assigned into two groups based on the mattress topper used: HMT (n = 11) or LMT (n = 10). Irrespective of the group, overload increased general stress and stress-reaction symptoms evaluated by questionnaires, with no decline in performance on a graded-exercise treadmill test, the majority of participant being “non-overreached” (n = 14). From a daily perspective, each additional 100 A.U. in training load, assessed using the session rating of perceived exertion, was associated with an impairment in subsequent sleep efficiency (β = -0.2%; p < 0.01), wake after sleep onset (β = +0.4 min; p < 0.05) and sleep onset latency (β = +0.5 min; p < 0.05), which was unaffected by HMT use. Practitioners should be aware of sleep needs, especially during excessive training loads, whereas implementing individualised sleep strategies. Further studies should be conducted on potential benefits of HMT among athletes in various sleep conditions.
Microorganisms associated with dump sites in Port Harcourt Metropolis, Nigeria

A total of ten soil samples were collected from four different dump sites in Port Harcourt Metropolis. The samples were examined for temperature, pH, total heterotrophic bacterial and fungal counts. The mean temperature values of the soils ranged from 27 to 28°C while the mean pH values ranged from 6.5 to 7.8. The total heterotrophic bacterial population ranged from 2.4 × 107 to 1.2 × 108 cfu/g while total fungal population ranged from 4.8 × 106 to 2.3 × 107 cfu/g. The bacteria population isolated from the waste dump sites were: Bacillus, Escherichia coli, Klebsiella, Proteus, Pseudomonas, Staphylococcus and Streptococcus species while the fungi included Aspergillus, Fusarium, Mucor, Penicillium and Saccharomyces species. The results showed that there was significant difference at 0.05 confidence limits between the pH levels at R(Ra:R1,R2; Rb:R3,R4) and U ( Ua:U1,U2; Ub: U3,U4). There was no significant difference at 0.05 confidence limits between the temperature levels, total heterotrophic bacterial and fungal counts at sites R and U. In dump sites R and U, there were no significant differences between the bacterial and fungal counts obtained in both sites. Key words: Dump sites, Port Harcourt metropolis, bacteria and fungi.
Fabrication of dissolving microneedles for transdermal delivery of protein and peptide drugs: polymer materials and solvent casting micromoulding method

Abstract Proteins and peptides are rapidly developing pharmaceutical products and are expected to continue growing in the future. However, due to their nature, their delivery is often limited to injection, with drawbacks such as pain and needle waste. To overcome these limitations, microneedles technology is developed to deliver protein and peptide drugs through the skin. One type of microneedles, known as dissolving microneedles, has been extensively studied for delivering various proteins and peptides, including ovalbumin, insulin, bovine serum albumin, polymyxin B, vancomycin, and bevacizumab. This article discusses polymer materials used for fabricating dissolving microneedles, which are poly(vinylpyrrolidone), hyaluronic acid, poly(vinyl alcohol), carboxymethylcellulose, GantrezTM, as well as other biopolymers like pullulan and ulvan. The paper is focused solely on solvent casting micromoulding method for fabricating dissolving microneedles containing proteins and peptides, which will be divided into one-step and two-step casting micromoulding. Additionally, future considerations in the market plan for dissolving microneedles are discussed in this article.
Effect of variables on exemestane-loaded albumin nanoparticles: statistical optimization and anti-cancer activity in MCF-7 cell lines

Abstract This research aimed to evaluate the effect of variables on exemestane-loaded bovine serum albumin nanoparticles (EXE-BSA NPs) to improve anti-breast cancer activity. EXE-BSA NPs were optimized using 32 factorial design, wherein the concentration of BSA (X1) and sonication time (X2) were independent variables and particle size (Y1) and %w/w entrapment efficiency (Y2) were dependent variables. The statistical optimization revealed a significant effect of BSA concentration on both variables, whereas sonication time affected only particle size. The optimized EXE-BSA NPs were spherical with 124.1 ± 2.62 nm particle size, 83.95 ± 1.06% w/w drug entrapment, and exhibited a biphasic release of 100% (w/w) drug over 72 h. The optimized formulation induced cytotoxicity in MCF-7 cell lines with an IC50 value of 21.46 µg/mL by MTT assay, almost half the free drug (54.87 µg/mL). Thus, statistically optimized EXE-BSA NPs were effective in MCF-7 cell lines and can be explored to treat estrogen receptor-positive breast cancer. Graphical Abstract
A multi‐layered network model identifies Akt1 as a common modulator of neurodegeneration

The accumulation of misfolded and aggregated proteins is a hallmark of neurodegenerative proteinopathies. Although multiple genetic loci have been associated with specific neurodegenerative diseases (NDs), molecular mechanisms that may have a broader relevance for most or all proteinopathies remain poorly resolved. In this study, we developed a multi‐layered network expansion (MLnet) model to predict protein modifiers that are common to a group of diseases and, therefore, may have broader pathophysiological relevance for that group. When applied to the four NDs Alzheimer's disease (AD), Huntington's disease, and spinocerebellar ataxia types 1 and 3, we predicted multiple members of the insulin pathway, including PDK1, Akt1, InR, and sgg (GSK‐3β), as common modifiers. We validated these modifiers with the help of four Drosophila ND models. Further evaluation of Akt1 in human cell‐based ND models revealed that activation of Akt1 signaling by the small molecule SC79 increased cell viability in all models. Moreover, treatment of AD model mice with SC79 enhanced their long‐term memory and ameliorated dysregulated anxiety levels, which are commonly affected in AD patients. These findings validate MLnet as a valuable tool to uncover molecular pathways and proteins involved in the pathophysiology of entire disease groups and identify potential therapeutic targets that have relevance across disease boundaries. MLnet can be used for any group of diseases and is available as a web tool at http://ssbio.cau. ac.kr/software/mlnet.
Leaky lessons learned: Efflux prone dopamine transporter variant reveals sex and circuit specific contributions of D2 receptor signalling to neuropsychiatric disease

Aberrant dopamine (DA) signalling has been implicated in various neuropsychiatric disorders, including attention‐deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), schizophrenia, bipolar disorder (BPD) and addiction. The availability of extracellular DA is sculpted by the exocytotic release of vesicular DA and subsequent transporter‐mediated clearance, rendering the presynaptic DA transporter (DAT) a crucial regulator of DA neurotransmission. D2‐type DA autoreceptors (D2ARs) regulate multiple aspects of DA homeostasis, including (i) DA synthesis, (ii) vesicular release, (iii) DA neuron firing and (iv) the surface expression of DAT and DAT‐mediated DA clearance. The DAT Val559 variant, identified in boys with ADHD or ASD, as well as in a girl with BPD, supports anomalous DA efflux (ADE), which we have shown drives tonic activation of D2ARs. Through ex vivo and in vivo studies of the DAT Val559 variant using transgenic knock‐in mice, we have uncovered a circuit and sex‐specific capacity of D2ARs to regulate DAT, which consequently disrupts DA signalling and behaviour differently in males and females. Our studies reveal the ability of the construct‐valid DAT Val559 model to elucidate endogenous mechanisms that support DA signalling, findings that may be of translational and/or therapeutic importance.
Gephyrocapsa huxleyi (Emiliania huxleyi) as a model system for coccolithophore biology

Coccolithophores are the most abundant calcifying organisms in modern oceans and are important primary producers in many marine ecosystems. Their ability to generate a cellular covering of calcium carbonate plates (coccoliths) plays a major role in marine biogeochemistry and the global carbon cycle. Coccolithophores also play an important role in sulfur cycling through the production of the climate‐active gas dimethyl sulfide. The primary model organism for coccolithophore research is Emiliania huxleyi, now named Gephyrocapsa huxleyi. G. huxleyi has a cosmopolitan distribution, occupying coastal and oceanic environments across the globe, and is the most abundant coccolithophore in modern oceans. Research in G. huxleyi has identified many aspects of coccolithophore biology, from cell biology to ecological interactions. In this perspective, we summarize the key advances made using G. huxleyi and examine the emerging tools for research in this model organism. We discuss the key steps that need to be taken by the research community to advance G. huxleyi as a model organism and the suitability of other species as models for specific aspects of coccolithophore biology.
Volatile Oil Profile of Prickly Ash (Zanthoxylum) Pericarps from Different Locations in China

Volatile oils of prickly ash (Zanthoxylum) pericarps have various potential biological functions with considerable relevance to food, pharmacological, and industrial applications. The volatile profile of oils extracted from prickly ash pericarps obtained from 72 plantations in China was determined by gas chromatography and mass spectrometry. Several chemometric analyses were used to better understand the volatile oil profile differences among different pericarps and to determine the key factors that affected geographical variations in the main volatile constituents of oils. A total of 47 constituents were detected with D-limonene, alfa-myrcene, and linalool as the most abundant. The volatile profile of pericarp oils was significantly affected by prickly ash species and some environmental factors, and the key factors that affected volatile profile variations for different prickly ash species were diverse. Chemometric analyses based on the volatile oil profile could properly distinguish Z. armatum pericarps from other pericarps. This study provides comprehensive information on the volatile oil profile of pericarps from different prickly ash species and different plantations, and it can be beneficial to a system for evaluating of pericarp quality. Moreover, this study speculates on the key environmental factors that cause volatile oil variations for each species, and can help to obtain better prickly ash pericarp volatile oils by improving the cultivated environments.
Origin of Precambrian iron formations

Bulk composition of Precambrian iron-formations is remarkably similar, despite differences in mineral facies. They differ from post-Precambrian iron formations in their low contents of alumina, titania, manganese, phosphorus, and lime. Uniformity of iron content, despite likelihood of variation due to sedimentary processes and depositional environment, suggests fundamental control at sources of materials. A model is proposed by which lateritic weathering in a reducing atmosphere yields solutions with Fe and Ca in approximately their 1:1 ratio of crustal abundance. These elements are deposited as banded calcite-siderite rocks. Different mineral facies are largely due to differing amounts of silica replacement, oxidation, etc., during diagenesis and metamorphism.
Using eDNA to survey amphibians: Methods, applications, and challenges

In recent years, environmental DNA (eDNA) has received attention from biologists due to its sensitivity, convenience, labor and material efficiency, and lack of damage to organisms. The extensive application of eDNA has opened avenues for the monitoring and biodiversity assessment of amphibians, which are frequently small and difficult to observe in the field, in areas such as biodiversity survey assessment and detection of specific, rare and threatened, or alien invasive species. However, the accuracy of eDNA can be influenced by factors such as ambient temperature, pH, and false positives or false negatives, which makes eDNA an adjunctive tool rather than a replacement for traditional surveys. This review provides a concise overview of the eDNA method and its workflow, summarizes the differences between applying eDNA for detecting amphibians and other organisms, reviews the research progress in eDNA technology for amphibian monitoring, identifies factors influencing detection efficiency, and discusses the challenges and prospects of eDNA. It aims to serve as a reference for future research on the application of eDNA in amphibian detection.
Item-specific neural representations during human sleep support long-term memory

Understanding how individual memories are reactivated during sleep is essential in theorizing memory consolidation. Here, we employed the targeted memory reactivation (TMR) paradigm to unobtrusively replaying auditory memory cues during human participants’ slow-wave sleep (SWS). Using representational similarity analysis (RSA) on cue-elicited electroencephalogram (EEG), we found temporally segregated and functionally distinct item-specific neural representations: the early post-cue EEG activity (within 0 to 2,000 ms) contained comparable item-specific representations for memory cues and control cues, signifying effective processing of auditory cues. Critically, the later EEG activity (2,500 to 2,960 ms) showed greater item-specific representations for post-sleep remembered items than for forgotten and control cues, indicating memory reprocessing. Moreover, these later item-specific neural representations were supported by concurrently increased spindles, particularly for items that had not been tested prior to sleep. These findings elucidated how external memory cues triggered item-specific neural representations during SWS and how such representations were linked to successful long-term memory. These results will benefit future research aiming to perturb specific memory episodes during sleep.
RECONSTRUCTION OF SEVERE DROUGHTS IN "PICO DE TANCÍTARO" NATIONAL PARK, MICHOACÁN

Pico de Tancítaro National Park is the most important source of water for the collection and recharge cycle of the aquifers located in western region of the state of Michoacán. Understanding the precipitation variability throughout time is crucial. Nonetheless, there is a lack of extensive and quality series on climatic data. For this reason, this work established the following objectives: 1) to reconstruct the precipitation variability for Pico de Tancítaro National Park based on the Abies religiosa growth rings, and 2) to analyze the drought frequency during the XXth century and the first decade of the XXIst century. Thus, some A. religiosa samples were taken and dated using standardized dendrochronological techniques. The quality of the dating as well as the quality of its climatic response were verified with the COFECHA software. These series presented a significant correlation (r=0.473; P < 0.01), which indicates their potential to generate dendroclimatic series. The precipitation of the last 127 years (18842010) was reconstructed. The severest droughts were reconstructed for the 1890-1896, 1948-1956, 19671971, 1982-1989, and 1998-2004 periods. It was also found that the Paricutín volcano eruption (1943) had a significant effect on regional climate. Reconstrucción de sequías. Julián Cerano-Paredes et al.
The effect of triple-dose-intravenous tranexamic acid on blood loss in patients undergoing total hip arthroplasty without affecting blood coagulopathy: A prospective thromboelastographic analysis

Objective: This study aimed to assess the safety and efficacy of triple-dose intravenous tranexamic acid (TXA) in patients following total hip arthroplasty (THA) using thromboelastography (TEG). Methods: One hundred thirty patients undergoing THA were prospectively enrolled in the study. According to the intravenous infusion TXA dose, patients were divided into single-dose (n = 65; mean age = 60.8 ± 8.1 years) and triple-dose groups (n = 65; mean age = 61.8 ± 8.6 years). Complete blood count (CBC), conventional coagulation tests (CCT), and TEG were conducted 1 day before the operation, on postoperative day 1 (POD1), and postoperative day 7 (POD7). Color Doppler ultrasonography was performed 1 day before the operation and on POD7. Drainage blood loss, total blood loss (TBL), hidden blood loss (HBL), deep vein thrombosis (DVT) incidence, and blood transfusion rates were calculated and recorded. The CCT, CBC, and TEG parameters were compared between the 2 groups. Results: Single- and triple-dose groups had significantly different hematocrit on POD7 (P < .05). No significant differences were found in CCT and hemoglobin at any corresponding time point between the 2 groups (P > .05). Despite the reaction time (R) on POD1 (P < .05), there were no significant differences in other TEG parameters at any other time point between the 2 groups (P > 0.05). For drainage blood loss and TBL, the triple-dose group had lesser blood loss than the single-dose group (P < .05). However, no significant differences were found for blood transfusion rate, HBL, or incidence of DVT (P > .05). Conclusion: Compared with single-dose, triple-dose TXA can be more effective in decreasing blood loss without increasing DVT incidence in patients undergoing THA. Although there is a notable disparity in the R time on POD1, the administration of triple-dose TXA does not substantially impact the coagulation status as assessed by TEG and CCT. Level of Evidence: Level I, Therapeutic study.
Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department

Background: Considering the large number of patients with pulmonary symptoms admitted to the emergency department daily, it is essential to diagnose them correctly. It is necessary to quickly solve the differential diagnosis between COVID-19 and typical bacterial pneumonia to address them with the best management possible. In this setting, an artificial intelligence (AI) system can help radiologists detect pneumonia more quickly. Methods: We aimed to test the diagnostic performance of an AI system in detecting COVID-19 pneumonia and typical bacterial pneumonia in patients who underwent a chest X-ray (CXR) and were admitted to the emergency department. The final dataset was composed of three sub-datasets: the first included all patients positive for COVID-19 pneumonia (n = 1140, namely “COVID-19+”), the second one included all patients with typical bacterial pneumonia (n = 500, “pneumonia+”), and the third one was composed of healthy subjects (n = 1000). Two radiologists were blinded to demographic, clinical, and laboratory data. The developed AI system was used to evaluate all CXRs randomly and was asked to classify them into three classes. Cohen’s κ was used for interrater reliability analysis. The AI system’s diagnostic accuracy was evaluated using a confusion matrix, and 95%CIs were reported as appropriate. Results: The interrater reliability analysis between the most experienced radiologist and the AI system reported an almost perfect agreement for COVID-19+ (κ = 0.822) and pneumonia+ (κ = 0.913). We found 96% sensitivity (95% CIs = 94.9–96.9) and 79.8% specificity (76.4–82.9) for the radiologist and 94.7% sensitivity (93.4–95.8) and 80.2% specificity (76.9–83.2) for the AI system in the detection of COVID-19+. Moreover, we found 97.9% sensitivity (98–99.3) and 88% specificity (83.5–91.7) for the radiologist and 97.5% sensitivity (96.5–98.3) and 83.9% specificity (79–87.9) for the AI system in the detection of pneumonia+ patients. Finally, the AI system reached an accuracy of 93.8%, with a misclassification rate of 6.2% and weighted-F1 of 93.8% in detecting COVID+, pneumonia+, and healthy subjects. Conclusions: The AI system demonstrated excellent diagnostic performance in identifying COVID-19 and typical bacterial pneumonia in CXRs acquired in the emergency setting.
The PB1 and the ZZ domain of the autophagy receptor p62/SQSTM1 regulate the interaction of p62/SQSTM1 with the autophagosome protein LC3B

Autophagy is a highly conserved cellular process that allows degradation of large macromolecules. p62/SQSTM1 is a key adaptor protein that interacts both with material to be degraded and with LC3 at the autophagosome, enabling degradation of cargos such as protein aggregates, lipid droplets and damaged organelles by selective autophagy. Dysregulation of autophagy contributes to the pathogenesis of many diseases. In this study, we investigated if the interaction of p62/SQSTM1 with LC3B could be regulated. We purified full‐length p62/SQSTM1 and established an in vitro assay that measures the interaction with LC3B. We used the assay to determine the role of the different domains of p62/SQSTM1 in the interaction with LC3B. We identified a mechanism of regulation of p62/SQSTM1 where the ZZ and the PB1 domains regulate the exposure of the LIR‐sequence to enable or inhibit the interaction with LC3B. A mutation to mimic the phosphorylation of a site on the ZZ domain leads to increased interaction with LC3B. Also, a small compound that binds to the ZZ domain enhances interaction with LC3B. Dysregulation of these mechanisms in p62/SQSTM1 could have implications for diseases where autophagy is affected. In conclusion, our study highlights the regulated nature of p62/SQSTM1 and its ability to modulate the interaction with LC3B through a LIR‐sequence Accessibility Mechanism (LAM). Furthermore, our findings suggest the potential for pharmacological modulation of the exposure of LIR, paving the way for future therapeutic strategies.