Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlating Cyberchondria and Health Anxiety: Demographic Insights from Stable Asthma Patients

Objective: With the increasing ubiquity of internet, the phenomenon of cyberchondria is becoming progressively widespread in today's digital society. This study investigates the correlation between health anxiety and cyberchondria severity and evaluates the influence of demographic factors in stable asthma patients. Methods: This cross-sectional study incorporated a sample of 51 patients with stable asthma. Sociodemographic data were systematically documented, and participants completed the Health Anxiety Inventory (HAI) and Cyberchondria Severity Scale-12 (CSS-12). Data analyses were performed using IBM SPSS Statistics v.22, Pearson and Spearman correlation analyses were employed to investigate relationships between variables, and multivariate linear regression was used to identify potential predictors of health anxiety. Results: The sample primarily consisted of female (76.5%) and married (74.5%) individuals with a mean age of 41.47 years (SD:12.92). Smokers reported higher median scores in health anxiety compared to non-smokers, with a significant difference (p=0.023), while no significant difference in cyberchondria severity was seen across smoking statuses (p=0.380). A moderate positive correlation between health anxiety and cyberchondria severity scores was also identified (r=0.415, p=0.002). The regression analysis indicated that together, cyberchondria severity, smoking status, and education level accounted for a significant proportion of the variance in health anxiety scores (Adjusted R^2:0.374, p<0.001). Conclusion: The study establishes a connection between health anxiety and cyberchondria severity in patients with stable asthma. The results suggest that health interventions targeting modifiable factors could be beneficial in reducing health anxiety within this patient group.
OpenStreetMap Infrastructure Mapping and Its Usage on Flood Impact Assessment Using InaSAFE in Surabaya

OpenStreetMap has become one of the open data sources used for humanitarian purpose in the last decade. This paper focus on mapping process and flood impact assessment using InaSAFE on exposure data in Surabaya provided by OSM. Key infrastructure mapping by of one of the OSM groups HOT ID in Surabaya has provided various lessons and benefits for Surabaya. These lessons learned are very useful to improve the quality of OSM infrastructure data intrinsic quality and data management, particularly data that related to key and vulnerable infrastructure in the field of disaster risk reduction. Keywords―Administrative boundary, data duality, infrastructure data, OpenStreetMap.
Pengaruh Film Dilan 1990 Terhadap Minat Kunjungan Ke Kota Bandung Dalam Masa Pandemi COVID-19 Dengan Moderasi Perceived Risk

Perancangan/penelitian ini tentang pemasaran pariwisata dengan tujuannya untuk menyelidiki dan mengetahui pengaruh film Dilan 1990 terhadap minat kunjungan wisatawan ke Kota Bandung, serta untuk menyelidiki dan mengetahui perubahan pengaruh film Dilan 1990 terhadap minat kunjungan wisatawan ke Kota Bandung dalam masa pandemi COVID-19 dengan efek moderasi perceived risk. Metode yang dipergunakan adalah analisis kuantitatif dan menggunakan tekinik SEM-PLS, serta berbentuk penelitian eksploratif. Hasilnya menunjukkan bahwa film Dilan 1990 memberikan pengaruh positif dan signifikan terhadap minat kunjungan ke Kota Bandung, serta perceived risk tidak memoderasi hubungan antara film dengan minat kunjungan
INFLUENCE OF AGE ON SUSCEPTIBILITY AND ON IMMUNE RESPONSE OF MICE TO EASTERN EQUINE ENCEPHALOMYELITIS VIRUS

The experiments described in this paper were carried out with the Rockefeller Institute strain of albino mice and with the Eastern strain of the virus of equine encephalomyelitis. 1. The observation was confirmed that with increasing age of mice there occurred a decrease in susceptibility to intraperitoneal injection of active virus; also, the length of incubation period of those which succumbed increased with age. 2. The mice of various age groups which survived an intraperitoneal injection of active virus were indistinguishable in their antibody response. 3. Young mice, vaccinated with formalin-inactivated. virus when 2, 5, and 7 days old, gave an immune response to such a degree that they showed (a) measurable peritoneal immunity which increased with small increments of age, (b) no cerebral resistance, and (c) detectable amounts of neutralizing antibody in their sera which paralleled, though at a considerably lower level, their peritoneal resistance. 4. The peritoneal resistance induced as a result of vaccination was shown to be not local, but a general, systemic immunity, specific for the Eastern strain. Such a peritoneal resistance was demonstrable by the 4th day after beginning of vaccination of 10-days-old mice. 5. After intraperitoneal injection of active virus, large amounts of virus were recoverable from the blood of non-vaccinated young mice; none was found in the blood of vaccinated young mice; a minimal amount was detectable in the blood of non-vaccinated adult mice. 6. The bearing of age on the degree of immune response of which mice are capable and on their susceptibility to the virus has been discussed.
Draft Genome Sequence of Marine Cyanobacterium Synechococcus sp. Strain NKBG042902, Which Harbors a Homogeneous Plasmid Available for Metabolic Engineering

ABSTRACT The marine cyanobacterium Synechococcus sp. strain NKBG042902 was isolated from coastal areas in Japan. Strain NKBG042902 has four plasmids: pSY8, pSY9, pSY10, and pSY11. Moreover, the hybrid plasmid pUSY02 containing pSY11 and Escherichia coli plasmid pUC18 was constructed for this strain. The genetic manipulation technique using pUSY02 was established for this strain and used in metabolic engineering. Here, we report the draft genome sequence of this strain, which has 77 contigs comprising a total length of 3,319,479 bp, with a G+C content of 49.4%.
Does Abnormal spinal Reciprocal Inhibition lead to Co-Contraction of Antagonist Motor Units? A Modeling Study

It is suggested that co-contraction of antagonist motor units perhaps due to abnormal disynaptic I(a) reciprocal inhibition is responsible for Parkinsonian rigidity. A neural model of Parkinson's disease bradykinesia is extended to incorporate the effects of spindle feedback on key cortical cells and examine the effects of dopamine depletion on spinal activities. Simulation results show that although reciprocal inhibition is reduced in DA depleted case, it doesn't lead to co-contraction of antagonist motor neurons. Implications to Parkinsonian rigidity are discussed.
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation

A tunable radial basis function (RBF) network model is proposed for nonlinear system identification using particle swarm optimisation (PSO). At each stage of orthogonal forward regression (OFR) model construction, PSO optimises one RBF unit's centre vector and diagonal covariance matrix by minimising the leave-one-out (LOO) mean square error (MSE). This PSO aided OFR automatically determines how many tunable RBF nodes are sufficient for modelling. Compared with the-state-of-the-art local regularisation assisted orthogonal least squares algorithm based on the LOO MSE criterion for constructing fixed-node RBF network models, the PSO tuned RBF model construction produces more parsimonious RBF models with better generalisation performance and is computationally more efficient.
The ClpP Peptidase Is the Major Determinant of Bulk Protein Turnover in Bacillus subtilis

ABSTRACT Measurements of overall protein degradation rates in wild-type and clpP mutant Bacillus subtilis cells revealed that stress- or starvation-induced bulk protein turnover depends virtually exclusively on the ClpP peptidase. ClpP is also essential for intracellular protein quality control, and in its absence newly synthesized proteins were highly prone to aggregation even at 37°C. Proteomic comparisons between the wild type and a ΔclpP mutant showed that the absence of ClpP leads to severe perturbations of “normal” physiology, complicating the detection of ClpP substrates. A pulse-chase two-dimensional gel approach was therefore used to compare wild-type and clpP mutant cultures that had been radiolabeled in mid-exponential phase, by quantifying changes in relative spot intensities with time. The results showed that overall proteolysis is biased toward proteins with vegetative functions which are no longer required (or are required at lower levels) in the nongrowing state. The identified substrate candidates for ClpP-dependent degradation include metabolic enzymes and aminoacyl-tRNA synthetases. Some substrate candidates catalyze the first committed step of certain biosynthetic pathways. Our data suggest that ClpP-dependent proteolysis spans a broad physiological spectrum, with regulatory processing of key metabolic components and regulatory proteins on the one side and general bulk protein breakdown at the transition from growing to nongrowing phases on the other.
Effect of intramedullary polymethylmethacrylate and autogenous cancellous bone on healing of frozen segmental allografts

This study was designed to compare bone mineral density, periosteal callus production. new bone formation, bone porosity, histologic appearance, and union of mid‐diaphyseal segmental allografts of the femur stabilized with an interlocking nail technique in a canine model 4 months after the procedure. An in vivo study was performed to compare the effects of augmenting interlocking nail fixation with an interlocking nail alone, intramedullary polymethylmethacrylate, intramedullary polymelhylmethacrylate and autogenous cancellous bone applied to the periosteal surface of the host‐allograft junction, autogenous cancellous bone applied to the endosteal surface of the allograft, autogenous cancellous bone applied to the periosteal surface of the host‐allograft junction, and autogenous cancellous bone applied to the periosteal surface of the hostallograft junction and to the endosteal surface of the allograft. There were no differences among treatments for bone mineral density at any time interval. Callus area 4 weeks after the procedure was greater along the lateral and cranial surfaces for treatments with periosteal cancellous bone (p < 0.05). New bone within the allograft segment did not differ among treatments and was reduced compared with the host‐allograft junctions (p < 0.05). The amount and quality of bone tissue at the host‐allograft junctions were greatest with treatments of intramedullary polymethylmethacrylate and autogenous cancellous bonc applied to the periostcal surface of the host‐allograft junction and of autogenous cancellous bone applicd to the periosteal surface of the host‐allograft junction and to the endosteal surface of the allograft (p < 0.05). The rate of bone union was lower, and there was a greater gap (non‐bone tissue) remaining between host and allograft bone with treatment involving just intramedullary polymethylmethacrylate than with other treatments (p < 0.05). The results suggest that augmenting interlocking nail fixation with intramedullary polyrnethylmethacrylate by itself offers no advantage but that a combination of intramedullary polymethylmethacrylate and cancellous bone at the periosteal surface or of cancellous bone within the medullary canal and at the periosteal surface improves the quality of healing at 6 months.
Efficient User Identification and Semi-Blind Channel Estimation for MU-MIMO Systems

In this letter, we consider an uncoordinated access to the uplink of MU-MIMO cellular networks. Based on randomly rotated modulation constellations, we propose an efficient approach to blind identification of active users and estimation of all involved channels, up to a discrete phase ambiguity. To eliminate this ambiguity, we use short orthogonal pilot sequences. To improve the obtained channel estimates, we also rely on a combination of pilot-based and blind channel estimates. Moreover, since no coordination is assumed with the base station the problem of pilot contamination can occur when some active users use the same pilot sequence. As a solution for this problem, we propose an efficient semi-blind recovery of all contaminated channel estimates.
Altered response to thyroid hormones by breast and ovarian cancer cells.

BACKGROUND In this study, L-thyroxine (T4), 3',3,5-triiodo-L-thyronine (T3), 3,5-diiodo-L-thyronine (T2), reverse T3; 3',5',3-triiodo-L-thyronine (RT3) and transferrin were added to breast cancer cell lines Hs 578T, MDA-MB-231, MDA-MB-468, and T-47D and ovarian cancer cell line OVCAR-3 to test the response to cell proliferation. MATERIALS AND METHODS Breast and ovarian cancer cell lines were placed in serum-free medium prior to addition of effector. Proliferation was determined by thymidine incorporation. For Northern analysis, RNA was isolated and c-fos, cjun and TIEG expression assessed. RESULTS No compound provided uniform results across all cell lines. T2 inhibited proliferation in Hs 578T and MDA-MB-468, had no effect in MDA-MB-231 and OVCAR-3, and stimulated proliferation in T-47D cells. T3 inhibited proliferation in all cell lines except T-47D in which two-state behavior occurred, with increased proliferation at low concentrations (< or = 10(-6) M) and decreased proliferation at high concentrations (> or = 10(-5) M). RT3 inhibited proliferation in Hs 578T, MDA-MB-231, and T-47D but had no effect in MDA-MB-468 and OVCAR-3. T4 inhibited proliferation in Hs 578T, MDA-MB-231, and MDA-MB-468 and had two-state behavior in T-47D and OVCAR-3. Finally, transferrin increased proliferation only in OVCAR-3 cells. Protooncogene expression was increased by both transferrin and T4 in the cell lines tested. CONCLUSIONS Correlation of iodines and proliferative responses were used to determine "essential" iodines necessary to produce the observed effect. Interaction between these cancer cells and non-physiological concentrations of thyroid hormone can be explained by thyroid hormone receptors with altered binding properties. Thus, interaction of thyroid hormones and cancer cells may differ from what occurs with normal cells.
A New Bayesian Approach to Multiple Intermittent Fault Diagnosis

Logic reasoning approaches to fault diagnosis account for the fact that a component cj may fail intermittently by introducing a parameter gj that expresses the probability the component exhibits correct behavior. This component parameter gj, in conjunction with a priori fault probability, is used in a Bayesian framework to compute the posterior fault candidate probabilities. Usually, information on gj is not known a priori. While proper estimation of gj can have a great impact on the diagnostic accuracy, at present, only approximations have been proposed. We present a novel framework, BARINEL, that computes exact estimations of gj as integral part of the posterior candidate probability computation. BARINEL's diagnostic performance is evaluated for both synthetic and real software systems. Our results show that our approach is superior to approaches based on classical persistent fault models as well as previously proposed intermittent fault models.
IoT-based Monitoring System using Tri-level Context Making for Smart Home Services

The advancements in Wireless Sensor Networks (WSN) & Internet technologies, a new trend in era of ubiquity is being realized. The Enormous increase in users of Internet & modifications on internetworking technologies enable networking of everyday objects. The “Internet of Things (IoT)” is about physical items talking each other, machine to machine communications and person to computer communications will extended to “things”. The Key technologies that drive future IoT related to Smart sensor technologies including Nanotechnology, WSN and Miniaturization . The integrated network architecture and the interconnecting mechanisms for reliable measurements of parameters by smart sensors and transmission of data via internet . The system which can use to update the values or parameters in home by internet via different communication protocols but in our proposed system we are using Ethernet protocol which is fastest protocol currently available in market. In our system we have designed two sections one has AT89S52 microcontroller interfaced with sensors. The other section has ARM7 microcontroller connected with Ethernet protocol. The two sections can communicate by Zigbee wireless module in which Sensor Node sends data to Ethernet section. The Ethernet section will update data in to internet via Ethernet protocol. So we can view status of parameters and can control it via internet.
2-Edge Connectivity in Directed Graphs

Edge and vertex connectivity are fundamental concepts in graph theory. While they have been thoroughly studied in the case of undirected graphs, surprisingly, not much has been investigated for directed graphs. In this article, we study 2-edge connectivity problems in directed graphs and, in particular, we consider the computation of the following natural relation: We say that two vertices v and w are 2-edge-connected if there are two edge-disjoint paths from v to w and two edge-disjoint paths from w to v. This relation partitions the vertices into blocks such that all vertices in the same block are 2-edge-connected. Differently from the undirected case, those blocks do not correspond to the 2-edge-connected components of the graph. The main result of this article is an algorithm for computing the 2-edge-connected blocks of a directed graph in linear time. Besides being asymptotically optimal, our algorithm improves significantly over previous bounds. Once the 2-edge-connected blocks are available, we can test in constant time if two vertices are 2-edge-connected. Additionally, when two query vertices v and w are not 2-edge-connected, we can produce in constant time a “witness” of this property by exhibiting an edge that is contained in all paths from v to w or in all paths from w to v. We are also able to compute in linear time a sparse certificate for this relation, i.e., a subgraph of the input graph that has O(n) edges and maintains the same 2-edge-connected blocks as the input graph, where n is the number of vertices.
FANCD2 and DNA Damage

Investigators have dedicated considerable effort to understanding the molecular basis underlying Fanconi Anemia (FA), a rare human genetic disease featuring an extremely high incidence of cancer and many congenital defects. Among those studies, FA group D2 protein (FANCD2) has emerged as the focal point of FA signaling and plays crucial roles in multiple aspects of cellular life, especially in the cellular responses to DNA damage. Here, we discuss the recent and relevant studies to provide an updated review on the roles of FANCD2 in the DNA damage response.
Exploiting speech for recognizing elderly users to respond to their special needs

In this paper we show how to exploit raw speech data to gain higher level information about the user in a mobile context. In particular we introduce an approach for the estimation of age and gender using well known machine learning techniques. On the basis of this information, systems like for example a mobile pedestrian navigation system, can be made adaptive to the special needs of a specific user group (here the elderly). First we provide a motivation why we consider such an adaptation as necessary, then we outline some adaptation strategies that are adequate for mobile assistants. The major part of the paper is about (a) identifying and extracting features of speech that are relevant for age and gender estimation and (b) classifying a particular speaker, treating uncertainty, and updating the user model over time. Finally we provide a short outlook on current work.
I Treated the Way You Treated Me: The Effect of Leader Hypocrisy on Employees’ Voice Behavior

Purpose In recent years, due to the increasingly prominent role of voice behavior in leader decision-making and organizational performance, such behavior has become a central topic for scholars. A majority of studies explore the “uphold” effects of multiple leader behavior toward the voice behavior; nonetheless, our study revealed the “undo” effect --- leader hypocrisy on voice behavior. Drawing on social cognitive theory, we investigated the relationship between leader hypocrisy and voice behavior, examined the mediating effects of cognition-based trust and affect-based trust, and the moderating effect of moral identity. Patients and Methods We conducted a three-wave survey in a large Chinese corporation to test the hypothesized model. We collected 562 employees to participate in this survey. Results The results show that leader hypocrisy negatively impacts employees’ cognition-based and affect-based trust, and both types of trust mediate the relationship between leader hypocrisy and voice behavior, respectively. In the meantime, moral identity manifested the negative effect of leader hypocrisy on cognition-based and affect-based trust. Conclusion Our research not only enriches the related research on leader hypocrisy and voice behavior but also uncovers the underlying mechanism through which leader hypocrisy affects voice behavior and the boundary conditions of this effect. Meanwhile, our research provides a theoretical reference for increasing employees’ voice behavior and promoting the healthy development of enterprises.
Identification of known and novel immunogenic T‐cell epitopes from tumor antigens recognized by peripheral blood T cells from patients responding to IL‐2‐based treatment

In previous studies CD8+ T cells specific for melanocyte antigens have been frequently found in melanoma patients responding to interleukin‐2 (IL‐2)‐based therapies. In our study we analyzed the suitability of using circulating T cells from melanoma patients with clinical response after IL‐2‐based therapy to identify novel T‐cell epitopes from defined tumor antigens. Using unstimulated peripheral blood mononuclear cells and the interferon‐γ (IFN‐γ) ELISPOT assay, we studied CD8+ T‐cell responses against 5 peptides from the tumor antigen tyrosinase (Tyr) selected by epitope prediction using an HLA‐A1‐binding computer algorithm. T cells specifically secreting IFN‐γ in response to 3 of these 5 peptides, namely, Tyr (454–463), Tyr (146–156) and Tyr (243‐251), could be detected in 4 of 4 HLA‐A1‐positive patients with clinical response. In contrast, no T‐cell responses against these peptides were seen in 6 HLA‐A1‐positive melanoma patients with progressive disease and in 8 healthy subjects. We could generate specific cytotoxic T lymphocytes (CTL) against Tyr (454–463) using peptide‐pulsed autologous dendritic cells as antigen‐presenting cells. The induced CTLs efficiently killed melanoma cells that express HLA‐A1 and tyrosinase. The peptides Tyr (146–156) and Tyr (243‐251) had recently been identified as CTL epitopes by other groups. Further ex vivo characterization of the T cells reactive against the novel epitope Tyr (454–463) in 1 patient by multicolor flow cytometry showed specific CD3+/CD8+/IFN‐γ+ T cells with frequencies of up to 0.41% of the CD3+/CD8+ T‐cell population. Most of this T‐cell population also expressed granzyme B. Our data confirm that in patients with tumor regressions induced by immunotherapy or chemoimmunotherapy circulating T cells reactive with tyrosinase epitopes can frequently be detected. Peripheral blood T cells from such patients are a valuable source for screening peptides selected by epitope prediction This strategy facilitates the rapid identification of immunogenic T‐cell epitopes that are probable targets of immune‐mediated tumor rejection. © 2002 Wiley‐Liss, Inc.