Miracle-dz/UniFAR-FTUs huggingface dataset:
The Water Transport System in Astrocytes–Aquaporins

Highlights (AQPs) are transmembrane proteins responsible for fast water movement across cell membranes, including those of astrocytes. The expression and subcellular localization of AQPs in astrocytes are highly dynamic under physiological and pathological conditions. Besides their primary function in water homeostasis, AQPs participate in many ancillary functions including glutamate clearance in tripartite synapses and cell migration. Abstract Astrocytes have distinctive morphological and functional characteristics, and are found throughout the central nervous system. Astrocytes are now known to be far more than just housekeeping cells in the brain. Their functions include contributing to the formation of the blood–brain barrier, physically and metabolically supporting and communicating with neurons, regulating the formation and functions of synapses, and maintaining water homeostasis and the microenvironment in the brain. Aquaporins (AQPs) are transmembrane proteins responsible for fast water movement across cell membranes. Various subtypes of AQPs (AQP1, AQP3, AQP4, AQP5, AQP8 and AQP9) have been reported to be expressed in astrocytes, and the expressions and subcellular localizations of AQPs in astrocytes are highly correlated with both their physiological and pathophysiological functions. This review describes and summarizes the recent advances in our understanding of astrocytes and AQPs in regard to controlling water homeostasis in the brain. Findings regarding the features of different AQP subtypes, such as their expression, subcellular localization, physiological functions, and the pathophysiological roles of astrocytes are presented, with brain edema and glioma serving as two representative AQP-associated pathological conditions. The aim is to provide a better insight into the elaborate “water distribution” system in cells, exemplified by astrocytes, under normal and pathological conditions.
An integrated structural health monitoring system based on Lamb waves

Structural Health Monitoring (SHM) has the potential of providing significant economic benefits through predictive maintenance and identification of damages in structures at an early stage. In particular, active SHM systems based on Lamb wave propagation can be applied to structures of different materials, including composites. In this paper, a portable and totally autonomous SHM system which excites and detects Lamb waves is proposed. Detected signals are processed in-situ and in real time in order to estimate the damage location. The result is then communicated wirelessly to the user, in the form of a spatial map of the damage probability distribution.
Investigação-formação-ação no Ensino de Ciências: perspectivas para a constituição do TPACK dos professores

Apresentamos um recorte da tese de doutorado da primeira autora. Investigamos as compreensões dos professores de Ciências, em formação inicial e continuada, sobre a constituição do conhecimento tecnológico e pedagógico do conteúdo (TPACK), em processos interativos de investigação-formação-ação (IFA) com as tecnologias da informação e comunicação (TIC). A partir do referencial da IFA, framework TPACK e abordagem histórico-cultural, propomos a implementação do modelo Investigação-formação-ação no Ensino de Ciências (IFAEC), articulando formação de professores e desenvolvimento de currículo. Neste artigo, expomos a proposta da IFAEC e perspectivas para a constituição do TPACK dos professores de Ciências por meio das compreensões teóricas resultantes dos dados empíricos e pesquisas da área.
Sizing, Analysis, and Verification of Axial Flux-Switching Permanent Magnet Machine

This paper proposes the analytical design methods of axial flux-switching permanent magnet (AxFSPM) machines. The analytical design methods take the influences of electric and magnetic loadings into account to calculate the specific sizing and scalability of the AxFSPM machine. In addition, the winding functions are implemented to derive the self-, mutual-, d-axis, and q-axis inductances. The results of analytical design methods indicate that the magnetic loading has bigger impact on the stator dimensions of AxFSPM machines than the electrical loading. The d- and q-axis inductances of the all-pole-wound AxFSPM machines are similar under the same number of slots and turns. A prototype is manufactured using analytical design methods. The experimental results show that the prototype machine achieves target specification and the usefulness of the proposed design method is verified.
Detection of anomalies in key performance indicator data by a convolutional long short-term memory prediction model

The rapid development of Internet technology has led to increasingly complex web service systems. The resulting large number of component interactions pose a challenge to anomaly detection, which is realized primarily by operation and maintenance (OM) personnel through the deployment, management, and monitoring of various key performance indicators (KPIs). Anomalous behaviors during daily OM often cause problems in KPI data; these problems include high noise, high dimensionality, and large-scale data streams. In addition, anomalies in KPI data occur infrequently and are of various types. These factors are the cause of the very low accuracy currently observed in conventional machine learning methods for detecting anomalies in large OM systems. Hence, a convolutional long short-term memory (C-LSTM) neural network is presented in this study to detect anomalies in small datasets that contain a variety of anomalies. First, a sliding window is used to preprocess the KPI data. Then, a C-LSTM neural network, which combines the features of the convolutional neural network (CNN) and LSTM algorithms, is employed to effectively model the time and numerical information contained in the preprocessed KPI data. Finally, the C-LSTM algorithm is tested on the datasets used in the competition of the Artificial Intelligence for Information Technology Operations (AIOPs) Active Network Management (ANM) 2018 Fall Project. The results show that the C-LSTM prediction algorithm outperforms the conventional LSTM and CNN algorithms in terms of its capacity to detect anomalies in small datasets that contain various anomalies, with a 12.90% higher accuracy, 5.68% higher recall, and 9.58% higher F1-score.
A Comparison of Rhizospheric and Endophytic Bacteria in Early and Late-Maturing Pumpkin Varieties

To determine whether rhizospheric and endophytic bacteria contribute to the ripening of pumpkins, an analysis was conducted on rhizospheric and endophytic bacteria and soil fertility in the rhizospheres of early and late-maturing pumpkin varieties. The results showed higher nitrogen and abscisic acid content and more gibberellin-producing bacteria in the rhizospheres or endophytes of the early maturing varieties. Greater soil fertility and more abundant rhizospheric and endophytic bacterial genera with a greater metabolic function might be important mechanisms for early ripening. Rhodococcus, Bacillus, and Arthrobacter can be considered the functional bacteria in promoting pumpkin maturation. On the other hand, Ralstonia could be the functional bacterium that delays ripening.
A construction of Hopf algebras in braided monoidal category by weak Hopf algebras

Let $(H, \mathcal{R})$ be a quasitriangular weak Hopf algebra, $A$ a weak Hopf algebra, and $f$ a weak Hopf algebra map between $H$ and $A$. Then we show that $A$ induce a Hopf algebra $C_{A}(A_{s})$ in the category ${}_{H}\mathcal{M}$, which generalizes the transmutation theory introduced by Majid. Furthermore, we construct a Hopf algebra $C_{H}(H_{s})_F$ in the category ${}_H\mathcal{M}_F$ for any cocommutative weak Hopf algebra $H$ and a weak invertible unit 2-cocycle $F$, which generalizes the result in [5]. Finally, we consider the relation between $C_{H}(H_s)_{F}$ and $C_{\widetilde {H}}(\widetilde{H}_{s})$, and obtain that they are isomorphic as objects in the category ${}_{\widetilde {H}}\mathcal{M}$, where $(\widetilde{H}, \widetilde{\mathcal{R}})$ is a new quasitriangular weak Hopf algebra induced by $(H, \mathcal{R})$.
Impacto del ejercicio en la glucosa en pacientes con diabetes tipo 1 usuarios de sistema hibrido de asa cerrada con uso de objetivo temporal

Contexto: el consenso sobre el manejo del ejercicio para los pacientes con diabetes tipo 1 (DM1) no incluye recomendaciones para pacientes usuarios de sistemas híbridos de asa cerrada (SHAC). Objetivo: describir en pacientes con DM1, usuarios de SHAC con uso de objetivo temporal, el comportamiento de la glucosa intersticial durante ejercicio aeróbico (EA) y de resistencia (ER). Metodología: estudio piloto descriptivo en el cual se incluyeron pacientes mayores de 18 años tratados con SHAC. Se registraron datos demográficos basales y se programaron sesiones de actividad física de EA de intensidad moderada y ER de acuerdo con las recomendaciones del consenso. En ambas sesiones se indicó uso del objetivo temporal 60 minutos antes y medir la glucosa capilar durante la actividad física (basal, 15, 30, 45 y 60 minutos). Al finalizar las sesiones de ejercicio se descargaron los datos del dispositivo. Resultados: se incluyeron 10 pacientes (80? % mujeres, edad promedio 41,1 ± 11,8 años) con TIR entre 70-180 mg/dl > 90? %. Durante el EA, el promedio de glucosa basal, 15, 13, 45 y 60 minutos fue de 147,1 ± 24,1 mg/dl, 131,4 ± 15,5 mg/dl, 131,4 ± 15,5 mg/dl, 107,9 ± 17 mg/dl y 101,3 ± 19,5 mg/dl, p < 0,05, respectivamente. Durante el ER no se observaron cambios significativos con respecto a la glucosa basal y 36 horas posterior a la actividad física se presentaron 2,75 eventos de hipoglucemia nivel 1, sin hipoglucemia severa. Conclusiones: el EA disminuye los niveles de glucosa de forma temprana y significativa, mientras que en el ER los niveles de glucosa permanecen estables. Los datos reportados en este estudio sugieren que el uso de SCHA es seguro si se siguen las pautas del consenso y se programa el objetivo temporal.
ISO 9001 y Gestión Académica para Entidades Universitarias

The ISO 9001 standards in different versions 2008 and 2015, serve the organizations to implement a Quality Management System so that they can create products or provide quality services for the client or end user. As the universities providing educational services, having to train students of quality in this changing competitive environment, they can not manage their business processes in an inorganic way, that is, with chaotic processes. The present article presents a development model applying the ISO 9001 standards, seeking to influence the satisfaction of the academic coordinators of the Faculty of Administrative Sciences of the University object of study, and expecting impact in turn in the satisfaction of the students, in Basis of a recurrent process of continuous improvement.
Effects of Chronic Bifidobacteria Administration in Adult Male Rats on Plasma Metabolites: A Preliminary Metabolomic Study

Probiotics are live microorganisms distributed in the gastrointestinal tract that confer health benefits to the host when administered in adequate amounts. Bifidobacteria have been widely tested as a therapeutic strategy in the prevention and treatment of a broad spectrum of gastrointestinal disorders as well as in the regulation of the “microbiota-gut-brain axis”. Metabolomic techniques can provide details in the study of molecular metabolic mechanisms involved in Bifidobacteria function through the analysis of metabolites that positively contribute to human health. This study was focused on the effects of the chronic assumption of a mixture of Bifidobacteria in adult male rats using a metabolomic approach. Plasma samples were collected at the end of treatment and analyzed with a gas chromatography-mass spectrometry (GC-MS) platform. Partial least square discriminant analysis (PLS-DA) was performed to compare the metabolic pattern in control and probiotic-treated rats. Our results show, in probiotic-treated animals, an increase in metabolites involved in the energetic cycle, such as glucose, erythrose, creatinine, taurine and glycolic acid, as well as 3-hydroxybutyric acid. This is an important metabolite of short-chain fatty acids (SCFA) with multitasking roles in energy circuit balance, and it has also been proposed to have a key role in the prevention and treatment of neurodegenerative diseases.
Effectiveness of the Human Oral Microbe Identification Microarray in Identifying Periodontal Pathogens: A Systematic Review

The aim of this review was to investigate the effectiveness of the Human Oral Microbe Identification Microarray (HOMIM) in identifying and quantifying bacterial species of the oral microbiome in periodontal disease. The search for articles was conducted in CENTRAL, CINAHL, MEDLINE and EMBASE by two reviewers, and included articles published in English between January 1990 and December 2021. The selected articles were human observational studies in adults between 18 and 65 years, presenting specific predefined keywords. Articles were initially selected by title and abstract; articles that met the inclusion criteria were analyzed for methodological quality using a detailed checklist for quality assessment. Data were extracted and reported using the PRISMA tool. The study design, sample, follow-up period, collection and microbial analysis methods, statistical treatment, results and discussion were quality assessed and risk of bias was evaluated using the Cochrane Risk-of-Bias tool. A narrative synthesis approach was used to synthesize and interpret the extracted data. From the initial search, 2931 articles were retrieved; 51 of these were then selected after screening by title and abstract. Subsequently, 8 articles met the inclusion after full-text reading and were classed according to methodological quality as high (2), moderate (3) or low (3). Studies included in this review were of high and medium quality. Data from the Human Oral Microbe Identification Microarray (HOMIM) provide much more robust results, showing major shifts between periodontal health and periodontal disease. Compared to earlier techniques such as Denaturing Gradient Gel Electrophoresis (DGGE), HOMIM represents a more effective approach for quantification due to its high sensitivity; thus, it is able to identify a high prevalence of periodontal pathogens and novel species in low abundance. The literature provides moderate evidence that the Human Oral Microbe Identification Microarray (HOMIM) is more effective in identifying and quantifying bacterial species of the oral microbiome in periodontal disease, compared to earlier molecular and non-molecular methods such as Denaturing Gradient Gel Electrophoresis (DGGE) and a culture-based approach with phenotypic tests.
Association Between High-Sensitivity C-Reactive Protein and Prognosis of Patients with Acute Cerebral Infarction

Purpose To investigate the association of serum high-sensitivity C-reactive protein (hs-CRP) with the severity of neurological deficits and prognosis in patients with acute cerebral infarction (ACI). Patients and Methods In this retrospective analysis, 119 patients with ACI were recruited from January to December 2020. The serum hs-CRP level was measured by a latex-enhanced immunoturbidimetric assay. The severity of neurological deficits and prognosis of ACI patients were assessed using the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale (mRS). Multivariate logistic analysis was performed and receiver operating characteristic (ROC) curves were plotted to evaluate the value of hs-CRP in predicting the prognosis of ACI. Results The patients with a more favorable prognosis (mRS score 0–2) had a lower median serum hs-CRP level than those with a worse prognosis (mRS score 3–6) (3.32 IQR: 1.51, 8.04 to 17.93 IQR:16.02, 19.01; P<0.001). After adjusting for potential confounders, multivariable linear regression showed that serum hs-CRP level was independently associated with NIHSS score (Beta = 0.952, P<0.001) and mRS score (Beta=0.878, P<0.001). Multivariate logistic analysis revealed that high hs-CRP level was an independent predictor of the poor prognosis in patients with ACI (adjusted1 OR = 1.995; 95% CI = 1.499–2.655; adjusted2 OR = 2.75; 95% CI = 1.015–7.457). ROC curve analysis indicated that the area under the curve for hs-CRP to predict poor prognosis was 0.986. The cutoff value, sensitivity, and specificity were 11.835 mg/L, 95%, and 92.5%, respectively. In terms of ischemic stroke subtypes, the serum hs-CRP level was higher in large-artery atherosclerosis (LAA) patients than in those with small-artery occlusion (SAO) and cardioembolism (CE). In addition, the patients with LAA had higher scores of NIHSS and mRS than those with SAO and CE. Conclusion Serum hs-CRP level is an independent predictor of prognosis, and an efficient index to discriminate patients with ACI, especially for those with LAA.
Multifocal Neuroarthropathy of the Knee and Foot Induced by Physical Training of the Lower Extremities in a Patient With Latent Autoimmune Diabetes in Adults

Charcot neuroarthropathy is a progressive arthropathy associated with neuropathy. In patients with diabetes, Charcot neuroarthropathy mostly affects the foot. In the present case, we encountered a rare presentation of Charcot neuroarthropathy of the knee and foot in a patient with latent autoimmune diabetes in adults. The patient, who may have developed the disease as a result of inappropriate physical exercise, was treated with total knee arthroplasty.
Rare Inherited Cholestatic Disorders and Molecular Links to Hepatocarcinogenesis

Hepatocellular carcinoma (HCC) is the most common primary liver cancer affecting adults and the second most common primary liver cancer affecting children. Recent years have seen a significant increase in our understanding of the molecular changes associated with HCC. However, HCC is a complex disease, and its molecular pathogenesis, which likely varies by aetiology, remains to be fully elucidated. Interestingly, some inherited cholestatic disorders that manifest in childhood are associated with early HCC development. This review will thus explore how three genes that are associated with liver disease in childhood (ABCB11, TJP2 and VPS33B) might play a role in the initiation and progression of HCC. Specifically, chronic bile-induced damage (caused by ABCB11 changes), disruption of intercellular junction formation (caused by TJP2 changes) and loss of normal apical–basal cell polarity (caused by VPS33B changes) will be discussed as possible mechanisms for HCC development.
Reflection and dissipation of Alfvén waves in interstellar clouds

Context. Supersonic nonthermal motions in molecular clouds are often interpreted as long-lived magnetohydrodynamic (MHD) waves. The propagation and amplitude of these waves is affected by local physical characteristics, most importantly the gas density and the ionization fraction. Aims. We study the propagation, reflection and dissipation of Alfven waves in molecular clouds deriving the behavior of observable quantities such as the amplitudes of velocity fluctuations and the rate of energy dissipation. Methods. We formulated the problem in terms of Elsasser variables for transverse MHD waves propagating in a one-dimensional inhomogeneous medium, including the dissipation due to collisions between ions and neutrals and to a nonlinear turbulent cascade treated in a phenomenological way. We considered both steady-state and time-dependent situations and solved the equations of the problem numerically with an iterative method and a Lax-Wendroff scheme, respectively. Results. Alfven waves incident on overdense regions with density profiles typical of cloud cores embedded in a diffuse gas suffer enhanced reflection in the regions of the steepest density gradient, and strong dissipation in the core’s interior. These effects are especially significant when the wavelength is intermediate between the critical wavelength for propagation and the typical scale of the density gradient. For larger wave amplitudes and/or steeper input spectra, the effects of the perpendicular turbulent cascade result in a stronger energy dissipation in the regions immediately surrounding the dense core. Conclusions. The results may help to interpret the sharp decrease of line width observed in the environments of low-mass cloud cores in several molecular transitions.
Time-aware Multi-layer Interest Extraction Network for Click-Through Rate Prediction

Click-through rate (CTR) prediction, which is used to estimate the probability of a user clicking on a candidate item, acts as a core task in recommender system. Previous researchers model user's historical behaviors as a sequence and apply sequential models to extract user interests. However, user behaviors result from multiple factors, including not only their interests but also the time, especially in time-sensitive scenes. While a few researchers have considered behavior time in sequential modeling, the target predicted time is still ignored. In this paper, we propose a novel network for CTR prediction dubbed Time-aware Multi-layer Interest Extraction network (TMIE), which considers the influence imposed by user behavior time and the target predicted time along-side with modeling user interests. Specifically, we design and employ time-aware GRU as low-layer interest extractor to capture primary interests. Then simplified transformer is applied as high-layer extractor to further explore the mutual relevance among user's interests. We perform abundant comparative experiments on both public and industrial datasets and the excellent results demonstrate the rationality and effectiveness of our methods. Notably, our heuristic work is an exciting attempt to catch up the synergistic impact of behavior time and multi-layer user interests in CTR prediction.
A Typology of Crowd Configurations Based on Crowd Attributes and Their Impacts on Crowdsourcing Outcomes

Crowdsourcing, as a crowd-centered approach, is becoming increasingly popular for organizations to conduct outsourcing, research and development (R&D), and marketing. The effectiveness of a crowdsourcing initiative, as manifested in specific outcomes, depends significantly on the salient characteristics of the configured crowd. This study aims to investigate which business purposes necessitate which crowds with which characteristics. Contributions of this study include: 1) introducing and defining three crowd attributes to depict the salient characteristics of a crowd, and 2) proposing a typology of eight crowd configurations by combining high or low levels of the three crowd attributes and examining each crowd configuration to highlight the relationships between crowd attributes and crowdsourcing outcomes. Eight mini cases corresponding to the eight crowd configurations are presented to illustrate how crowd configurations were implemented in real-life situations. The theoretical and practical implications are discussed respectively.