Miracle-dz/UniFAR-FTUs huggingface dataset:
Congestive heart failure and sepsis: a retrospective study of hospitalization outcomes from a rural hospital in Southwest Missouri

Abstract Background Sepsis is the leading cause of death in hospitalized patients and significant effort has been made to facilitate early diagnosis and management. However, aggressive treatment can have negative effects, especially in patients with unstable volume status, such as those with congestive heart failure. Methods We used electronic medical records to perform a retrospective study looking at hospital outcomes in patients from Southwest Missouri who were admitted with sepsis and had a comorbid diagnosis of hypertensive heart failure. Our primary outcome was in-hospital mortality. Results We studied a total of 184 patients with the diagnosis of hypertensive heart failure with sepsis, and 348 patients with the diagnosis of sepsis that served as the baseline group. There was a total of 37 (20%) deaths in the hypertensive heart failure group and a total of 94 (27%) deaths in the baseline group. Conclusion Our study showed no significant difference between the baseline group and those with hypertensive heart disease with heart failure.
Wideband bandpass filter based on U‐slotted SW‐HMSIW cavities

A wideband bandpass filter (BPF) is designed based on U‐slotted slow wave half mode substrate integrated waveguide (SW‐HMSIW) cavities. Similar to the substrate integrated waveguide (SIW), the SW‐HMSIW can also achieve a highpass characteristic while the lateral dimensions can be reduced by about 50%. By etching a U‐shape slot on the SW‐HMSIW cavity, a multiple‐mode resonator (MMR) can be realized, which can achieve a wide passband response and make the overall dimension of the filter much more compact. A wide passband, covering from 6.0 GHz to 10.65 GHz with a FBW about 58.13% is achieved. The measured minimum insertion losses including the losses from SMA connectors are 1.1 dB and return losses are better than 10 dB. Besides, the group delay varies between 0.2 and 0.5 ns within the passband. To validate its practicability, a wideband SW‐HMSIW BPF fabricated on a double‐layer printed circuit board (PCB) is designed and examined. The proposed filter has a more than 54% size reduction compared to the other designs reported in open literatures. The measured results have a good agreement with the simulated results. The effective size of the fabricated filter is about 27 mm × 8.55 mm.
Tourists’ Intentions During COVID-19: Push and Pull Factors in Extended Theory of Planned Behaviour

The way people travel has been entirely altered by COVID-19. Additionally, past studies reported that tourist behaviour has shifted because of the pandemic. Therefore, tourism management must identify the variables that impact tourists’ decisions to travel during COVID-19. However, the problem arises since research into tourist motivation, behaviour, and intention to travel in Southeast Asia is still scarce. In light of this issue, this study aims to bridge the gap by analysing tourists’ travel intentions during COVID-19 using the theory of planned behaviour broadened with push and pull factors. An online survey among Indonesians was employed to acquire data using judgment sampling. Three hundred sixty-one surveys were completed, and the data were analysed using the PLS-SEM technique. Based on the findings, only one variable had no significant effect on the intention to travel during COVID-19. Besides that, attitude towards a behaviour was the most potent variable affecting a tourist’s decision to travel. Thus, this study contributes both theoretically and practically.
Applying Information Technology To Decision-Making: The EPA GeoBook Applied To Greenway Planning

The purpose of this thesis is to examine the role information technology could play in the planning process, by studying the role GeoBook played in its application to greenway planning. Technology has continued to advance through the years, so it is important that the planning process incorporates these technologies so as to become more proficient at making decisions. Because our natural resources are limited, we have the responsibility to steward them to the best of our ability and to make the most educated decisions possible. By incorporating modem science into land-use decisions, decision­ makers can make more informed decision. This thesis examines the background of the GeoBook and its capabilities, followed by a look at the GeoBook's role in the French Broad Blueway. I chose to study the GeoBook because habitat fragmentation is the number one threat to ecosystem biodiversity and health. Ecosystems cannot survive in isolation, and the Southeastern Ecological Framework is a system that can combat this threat.
Robust output consensus of networked negative imaginary systems via an integral quadratic constraint approach

This paper deals with the robust output consensus problem of networked homogeneous and heterogeneous negative imaginary (NI) systems under external disturbances via the integral quadratic constraint (IQC) approach. Applying the IQC-based NI stability result and properties of the network graph, a necessary and sufficient IQC-based condition is given for robust output consensus of networked homogeneous NI systems without poles at the origin. This condition depends on the corresponding complementary IQCs at zero and infinite frequencies as well as all eigenvalues of the Laplacian matrix associated with the network graph, and it covers the dc loop gain condition in the earlier literature by constructing appropriate IQC multipliers. Moreover, the robust output consensus can be preserved along a path by IQC-based conditions. Subsequently, the robust output consensus problem is also considered for homogeneous NI systems having poles at the origin by adding an assumption related to the largest eigenvalue of the Laplacian matrix. Besides, sufficient IQC-based conditions for the heterogeneous case are described by different IQC multipliers. Finally, some examples are shown to illustrate the main results.
Culture du café robusta (Coffea canephora): risques liés à la variabilité et au changement climatique dans le bassin de production du Moungo, Littoral-Cameroun

Le climat est l’un des facteurs les plus importants de la production des cultures. Il influence tant positivement que négativement l’ensemble des activités agricoles et a une action marquée sur le rendement des cultures. Les changements présents dans les éléments constituant le climat permettent de comprendre le niveau de productivité actuel, de concevoir et/ou modifier les pratiques des producteurs. L’objectif de cette étude était de déterminer l’effectivité d’un changement du climat et d’identifier les risques possibles de ces changements climatiques sur la culture du Café Robusta. La série de données de 44 ans (1974 -2017) pour les précipitations et le nombre de jours de pluie, celle de 38 ans (1980 - 2017) pour les températures moyennes et celle de 37 ans (1981 -2017) pour l’humidité relative moyenne, ont été obtenues à la station météorologique de Nkongsamba. Ces séries ont été ensuite découpées en deux périodes de 30 ans chacune. La détection des changements dans les séries s’est faite par le logiciel changepoint.np de R et la méthode PELT, tandis que la comparaison des deux périodes de 30 ans chacune s’est faite à l’aide du test de Student et celui de Wilcoxon. Les résultats ont montré que les changements climatiques sont réels dans le bassin de production du Moungo. Ils sont caractérisés par l’augmentation des températures moyennes de 0,9°C, couplée à une réduction de 20 jours de pluie et la baisse de 1,3% de l’humidité relative. Par ailleurs une réduction de 10 jours de pluies entre les deux périodes de 30 ans a été observée. Elle est couplée à une augmentation des températures moyennes de 0,8°C. Les risques causés par ces changements sur la culture du café robusta sont légers. Toutefois ces changements concourent aux conditions favorables de développement du principal ravageur du caféier Hypothenemus hampei. L’association du café avec des espèces agroforestières, ainsi qu’une protection phytosanitaire adéquate, peut réduire la pression du ravageur et augmenter les rendements du café.
From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science

Islets of Langerhans are multicellular microorgans located in the pancreas that play a central role in whole-body energy homeostasis. Through secretion of insulin and other hormones they regulate postprandial storage and interprandial usage of energy-rich nutrients. In these clusters of hormone-secreting endocrine cells, intricate cell-cell communication is essential for proper function. Electrical coupling between the insulin-secreting beta cells through gap junctions composed of connexin36 is particularly important, as it provides the required, most important, basis for coordinated responses of the beta cell population. The increasing evidence that gap-junctional communication and its modulation are vital to well-regulated secretion of insulin has stimulated immense interest in how subpopulations of heterogeneous beta cells are functionally arranged throughout the islets and how they mediate intercellular signals. In the last decade, several novel techniques have been proposed to assess cooperation between cells in islets, including the prosperous combination of multicellular imaging and network science. In the present contribution, we review recent advances related to the application of complex network approaches to uncover the functional connectivity patterns among cells within the islets. We first provide an accessible introduction to the basic principles of network theory, enumerating the measures characterizing the intercellular interactions and quantifying the functional integration and segregation of a multicellular system. Then we describe methodological approaches to construct functional beta cell networks, point out possible pitfalls, and specify the functional implications of beta cell network examinations. We continue by highlighting the recent findings obtained through advanced multicellular imaging techniques supported by network-based analyses, giving special emphasis to the current developments in both mouse and human islets, as well as outlining challenges offered by the multilayer network formalism in exploring the collective activity of islet cell populations. Finally, we emphasize that the combination of these imaging techniques and network-based analyses does not only represent an innovative concept that can be used to describe and interpret the physiology of islets, but also provides fertile ground for delineating normal from pathological function and for quantifying the changes in islet communication networks associated with the development of diabetes mellitus.
Investigation of the Pharmacological Effect and Mechanism of Jinbei Oral Liquid in the Treatment of Idiopathic Pulmonary Fibrosis Using Network Pharmacology and Experimental Validation

Overview: Idiopathic pulmonary fibrosis (IPF) is a disease caused by many factors, eventually resulting in lung function failure. Jinbei oral liquid (JBOL) is a traditional Chinese clinical medicine used to treat pulmonary diseases. However, the pharmacological effects and mechanism of the action of JBOL on IPF remain unclear. This study investigated the protective effects and mechanism of the action of JBOL on IPF using network pharmacology analysis, followed by in vivo and in vitro experimental validation. Methods: The components of JBOL and their targets were screened using the TCMSP database. IPF-associated genes were obtained using DisGeNET and Drugbank. The common targets of JBOL and IPF were identified with the STRING database, and a protein–protein interaction (PPI) network was constructed. GO and KEGG analyses were performed. Sprague–Dawley rats were injected with bleomycin (BLM) to establish an IPF model and treated orally with JBOL at doses of 5.4, 10.8, and 21.6 ml/kg. A dose of 54 mg/kg of pirfenidone was used as a control. All rats were treated for 28 successive days. Dynamic pulmonary compliance (Cdyn), minute ventilation volume (MVV), vital capacity (VC), and lung resistance (LR) were used to evaluate the efficacy of JBOL. TGF-β–treated A549 cells were exposed to JBOL, and epithelial-to-mesenchymal transition (EMT) changes were assessed. Western blots were performed. Results: Two hundred seventy-eight compounds and 374 targets were screened, and 103 targets related to IPF were identified. Core targets, including MAPK1 (ERK2), MAPK14 (p38), JUN, IL-6, AKT, and others, were identified by constructing a PPI network. Several pathways were involved, including the MAPK pathway. Experimentally, JBOL increased the levels of the pulmonary function indices (Cdyn, MVV, and VC) in a dose-dependent manner and reduced the RL level in the BLM-treated rats. JBOL increased the epithelial marker E-cadherin and suppressed the mesenchymal marker vimentin expression in the TGF-β–treated A549 cells. The suppression of ERK1/2, JNK, and p38 phosphorylation by JBOL was validated. Conclusion: JBOL had therapeutic effects against IPF by regulating pulmonary function and EMT through a systemic network mechanism, thus supporting the need for future clinical trials of JBOL.
Psychometric Properties of Four Common Clinical Tests for Assessing Hamstring Flexibility in Young Adults

Objective: To examine the psychometric properties of four common hamstring muscle flexibility tests involving the straight leg raise (SLR), passive knee extension (PKE), sit and reach test (SRT) and toe touch test (TTT) in young adults. Methods: Forty-three young healthy adults (mean age 27.4 years) were recruited for 3 repeated sessions of hamstring flexibility assessments using the 4 tests mentioned above and the subsequent isokinetic examinations. The first two sessions (S1 and S2) were conducted by two different raters randomly on the first day (D1), and the third session (S3) was conducted by the same rater as S1 3 days later (D4). The next day (D5), the isokinetic performances of knee extensors and flexors of the dominant leg were assessed. To evaluate the interrater (S1 vs. S2) and test-retest (S1 vs. S3) reliability of hamstring flexibility tests, intraclass correlation coefficients (ICCs), standard errors of measurement, and the minimum detectable differences were calculated. Correlation analyses were performed to study the association of each hamstring flexibility test with the isokinetic muscle function of the knee flexors (H) and extensors (Q), including the peak torque (PT), total amount of work (TW) and average power (AP). Results: Excellent interrater and test-retest reliability of hamstring flexibility tests involving the SLR, PKE, SRT and TTT were confirmed with ICCs ranging from 0.923 to 0.986. Fair correlations were found between the 4 hamstring flexibility tests and the H/Q for the PT at angular speeds of 180°/s (Pearson’s r at 0.330–0.449). In addition, the PKE was fairly correlated with the AP of the hamstring (Pearson’s r = 0.320) and the H/Q for the TW (Pearson’s r = 0.345) and AP (Pearson’s r = 0.386) at angular speeds of 180°/s. Conclusions: This study confirmed that the SLR, PKE, SRT and TTT were reliable flexibility tests for hamstring muscles in young healthy adults, and the PKE might be a more valid outcome measure to predict hamstring injury.
FullSight: A Feasible Intelligent and Collaborative Framework for Service Function Chains Failure Detection

Network function virtualization (NFV) is a ground-breaking technology that decouples network functions (NFs) from customized hardware to support more flexible network services and network resource allocation. However, these improvements also lead to an increase in the possibility of service function chain (SFC) failure due to hardware failures, software bugs, or resource contention. This could lead to minor problems or even serious consequences. Unfortunately, the existing failure detection methods have multiple issues, such as small detection range, single detection function, heavy overhead, and low accuracy. Consequently, we propose FullSight, a feasible framework based on deep learning (DL) models that can efficiently integrate both the control plane and programmable data plane for fault detection and classification. This framework obtains the status and indicators of components and network that cause service quality performance degradation through two planes. These indicators are ultimately sent to the knowledge plane for preprocessing, dimensionality reduction, and fault analysis. In addition, we propose two algorithms based on text convolutional neural network (textCNN) and bidirectional encoder representations from transformers (BERT) to classify SFC faults. We implement and evaluate the proposed FullSight prototype extensively on a prototype with thirteen programmable switches and twenty end-hosts. Our experimental results show that FullSight can rapidly and accurately detect and identify eight categories of fine-grained SFC failures, compared with other state-of-the-art methods. Besides, compared with SFC Path Tracer and Pingmesh, our framework can reduce the average bandwidth overhead of the data plane by 57% and 84%, respectively, and achieve detection accuracy of more than 98%.
Overtime or fragmentation? Family transactions and working time during the COVID‐19 pandemic

Abstract What changes affected the working time of employees required to work from home by the 2020 French health measures? Drawing on a qualitative survey of a municipal water company, based on interviews, direct observations, and questionnaires, the author shows how telework prompted by the COVID‐19 pandemic restructured working time and redistributed the power of regulation. During lockdown periods, working hours were extended and work rhythms changed, with considerable variation depending on the family configuration: confinement with family was not conducive to extended working hours, instead tending to fragment them, whereas isolated teleworkers experienced the opposite effect.
Pathophysiological Changes in Erythrocytes Contributing to Complications of Inflammation and Coagulation in COVID-19

Higher thrombotic burden in the acute phase of COVID-19 relies on a complex interplay between pro-inflammatory cytokine/chemokine release, increased endothelial dysfunction/damage, and potential sepsis-induced coagulopathy development in severe cases, all promoting coagulation activation. Plasma levels of cytokines and chemokines are known to be increased in COVID-19 however, are much higher in severe infections. Increased levels of IL-1β, IL-6, and IL-8 are known to play an important role in both acute and chronic inflammation, resulting in pathological clotting. However, little has been published on the effects of these interleukins on red blood cells (RBCs). Evidence shows that cytokines have a negative effect on the RBCs ultrastructure and introduce signs of eryptosis. Eryptosis can be described as a form of suicidal death of RBCs characterized by distinct findings of cell shrinkage, membrane blebbing, activation of proteases, and phosphatidylserine exposure at the outer membrane leaflet. Red blood cells from COVID-19 patients had increased levels of glycolytic intermediates, accompanied by oxidation and fragmentation of ankyrin, spectrin beta, and the N-terminal cytosolic domain of band 3 (AE1). Significantly altered lipid metabolism was also observed, in particular, short- and medium-chain saturated fatty acids, acyl-carnitines, and sphingolipids. Emerging research suggests that RBCs may contribute to a precision medicine approach to sepsis and have diagnostic value in monitoring complement dysregulation in COVID-19-sepsis and non-COVID sepsis as research indicates that complement activation products and viral antigens are present on RBCs in patients with COVID-19.
In Vitro and In Vivo Characterization of a New Strain of Mosquito Flavivirus Derived from Culicoides

Mosquito-specific flaviviruses comprise a group of insect-specific viruses with a single positive RNA, which can affect the duplication of mosquito-borne viruses and the life growth of mosquitoes, and which have the potential to be developed as a vaccine platform for mosquito-borne viruses. In this study, a strain of mosquito flavivirus (MFV) YN15-283-02 was detected in Culicoides collected from Yunnan, China. The isolation of the purified MFV YN15-283-02 from cell culture failed, and the virus was then rescued by an infectious clone. To study the biological features of MFV YN15-283-02 in vitro and in vivo, electron microscopy, phylogenetic tree, and viral growth kinetic analyses were performed in both cell lines and mosquitoes. The rescued MFV (rMFV) YN15-283-02 duplicated and reached a peak in C6/36 cells at 6 d.p.i. with approximately 2 × 106 RNA copies/μL (RNA to cell ratio of 0.1), but without displaying a cytopathic effect. In addition, the infection rate for the rMFV in Ae. aegypti show a low level in both larvae (≤15%) and adult mosquitoes (≤12%).
Enhanced Lion Optimization with Efficient Path Routing Equalization Technique against DoS Attack in Wireless Sensor Network

In WSN, DoS (denial of service) attack makes shortcoming system. The packets travel over and over in the sensor network. By that, all the assets like data transmission, memory, and vitality are squandered by this attack. However, the attacker ought to optimize its attacker plan for request to boost the impact on the system performance because of the deficiency of vitality at the aggressor side. Denial of service (DoS) attack on the Internet has become a squeezing issue. By staying away from these sorts of attacks, network performance can be improved. Therefore, security is a fundamental requirement for these networks. Effective routing is necessary in order to overcome the issued faced by the crosslayer in the DOS attack of the WSN network for the purpose of good transmission. This research work mainly focuses on performance evaluation using optimization methods. To establish the efficient path in the crosslayer against DoS attack, this paper has proposed enhanced lion optimization with an efficient path routing equalization technique (LOEPRE). If any failure node occurs in the network, then the node is recognized and the transfer of the data packet is done to the other node. Retransmission of data causes overload in the network. The proposed model focuses on these issues and overcomes these issues by improving the path efficiently with robust security. It consists of three phases: the initial phase includes the route discovery in the network. In the second phase, the transfer of data is done in the high router path for security purposes. Finally, the efficient path routing equalization technique is used for minimizing the overload in the network; it provides the equalized path length in the network and is highly efficient. Hence, the proposed LOEPRE technique is used to achieve energy efficiency in wireless network for prolonged network lifetime and minimum packet latency and minimize consumption of energy. Moreover, the simulation outcome of the proposed LOEPRE method is highly robust while comparing to the existing methods EFCRS, SSPRA ELOER, EFLOR, and TSTP. It achieves better performance than existing algorithms in comparing metric connectivity ratio, end-to-end delay, overhead, throughput, and packet delivery ratio.