Miracle-dz/UniFAR-FTUs huggingface dataset:
The association between employment- and housing-related financial stressors and marital outcomes during the 2007-2009 recession

This study examined the association between recession-related employment problems, recession-related housing problems, and marital quality. It used a national sample of married couples between the ages of 18 and 55. The analyses revealed that housing problems were negatively associated with wives’ reports of marital satisfaction and positively associated with wives’ and husbands’ reports of divorce proneness. Feelings of economic pressure fully mediated the association between housing problems and wives’ marital satisfaction and housing problems and husbands’ feelings of divorce proneness. Feelings of economic pressure only partially mediated the association between housing problems and wives’ reports of divorce proneness. Interestingly, recession-related employment problems were not associated with participants’ marital quality.
Role of Cytochrome P 450 Monooxygenase in the Bioactivation of Aflatoxin B 1

In a previous study, the gene EgP450 that encodes the proteins of 505 amino acids was isolated from oil palm. The recombinant protein EgP450 is bound to phenylurea-like herbicides which detoxify the substance. Aflatoxin B1 (AFB1), a mycotoxin produced by Aspergillus sp. , is another toxic compound that is known to cause acute toxic effects and act as a hepatocarcinogenic agent. This study aimed to examine the role of EgP450 enzyme in mycotoxin bioactivation in human mesenchymal stem cells (hMSCs). Docking analysis showed that EgP450 is bound to the group of carcinogens, which includes AFB1, n-(2-fluorenyl) acetamide, n-n-butyl-n-butan-4-ol-nitrosamine, n-nitrosodiethylamine, n-nitrosodiethylamine and n-nitrosodimethylamine. An in vivo aflatoxin toxicity test on hMSCs and AFB1 induces the expression of Bmi-1 which is one of the markers for the development of cancer. The presence of EgP450 at 0.15 μg/mL could reduced the Bmi-1 expression in AFB1 induced cells. Moreover, this protein also showed some antioxidant activity. These results exhibited the enormous potential of EgP450 in the detoxification processes.
Flying Ad-hoc Networks : Review

With the advancement of technology the role of UAV (Unmanned Aerial Vehicles) is growing rapidly. In the modern era very popular and advanced technologies are present which are used for communication purpose. With the advancement of technologies many challenging tasks are also associated like development and maintenance cost, integration etc. This paper reports the use of FANET in various areas and provides a path to known about the various challenging tasks in FANET. As literature indicated that the UAVs are attractive technology for many civilian and military applications. Due to the high and frequent mobility of the nodes, maintaining a communication link between the UAVs is a challenging task. Thus this paper lights on the main tasks of FANET and their use in the modern era.
On the comparison and the synergistic effect of chemical AOP and hydrodynamic cavitation

The recent regulation policies and an increasing public concern are focusing on the presence of priority and emerging pollutant in water. In order to obtain high efficiencies on their abatement in the prevention and remediation of water sources, the Advanced Oxidation Processes (AOP) are among the most interesting and reliable opportunities. Although they have shown a great potential, their employment in waste water treatment plants is still unsatisfactory mainly because of the elevated treatment cost. A great opportunity is given by hybrid cavitation techniques offering low energy consumption. When applied individually hydrodynamic cavitation (HC), often gives insufficient removal percentage degradation, but its efficacy can be significantly enhanced by combining it with other advanced oxidation processes such as Fenton-like treatments. The research study presents the preliminary results of an experimental campaign with the aim of optimizing the process of hybrid HC oxidation and individuating its feasibility in removing emerging pollutants. This paper focuses on the parallel and combined treatment of HC/Fenton and HC/Activated Persulfate, by evaluating the synergistic index and the energy consumption in the pnitrophenol (pNP) degradation.
Waiting times of scheduled patients in the presence of emergency requests

In this contribution we investigate the impact of emergency requests on the waiting times of scheduled patients. Patients are scheduled at equidistant points in time and each patient requires a fixed examination time. However, emergency requests may interrupt a patient’s examination and the latter has to start all over after such an interruption. The current investigation applies to an emergency room setting in the sense that we evaluate the impact of emergency requests for radiology on the waiting times of scheduled patients. We illustrate our approach by means of some numerical examples.
Effects of Servicescape, Waiting Motivation and Conformity on Time Perception and Behavioral Intentions

The purpose of this study is to explore the associations that potentially impact time perception of waiting customers. Using the constructs of servicescape, motivation, and conformity, the current study tries to figure out the definite causal relationship among variables. Survey questionnaire was administrated to collect data from 335 customers in Taiwanese food and restaurant industry. The results show that waiting motivation has significantly direct effects on servicescape, conformity, time perception, and behavioral intentions. Furthermore, servicescape has a significantly direct effect on behavioral intentions, and conformity has a significantly direct effect on time perception. The findings indicate customers’ waiting motivation should be key factor to affect the full structural model, specifically reference group influence, such as word-of-mouth from friends and media coverage. Suggestions and managerial implications are discussed in the study, and would provide contribution both to the body of knowledge in the filed of marketing and mangers to improve quality of consumer relationship.
The ‘ long-term ’ e ff ects of universal school-based anxiety prevention trials : A systematic review

Objective: Previous reviews demonstrate that universal school-based anxiety prevention programs are generally effective in the short-term, but have not yet provided a clear evaluation of the longer-term effects. This review focuses exclusively on randomized controlled trials (RCTs) of universal school-based anxiety prevention programs that included a follow-up at 12-months or beyond. Method: In total, 359 references from previous reviews in the field were screened; PubMed and PsychInfo were also systematically searched. Eight studies met criteria (each based on cognitive-behavioural principles) comprising 7522 children aged nine-18 years. Risk of bias in most studies was high, thus a formal meta-analysis was
On the Relationship Between Weak and Strong Deniable Authenticated Encryption

Consider a scenario in which a whistleblower (Alice) would like to disclose confidential documents to a journalist (Bob). Bob wants to verify that the messages he receives are really from Alice; at the same time, Alice does not want to be implicated if Bob is later compelled to (or decides to) disclose her messages, together with his secret key and any other relevant secret information. To fulfill these requirements, Alice and Bob can use a deniable authenticated encryption scheme. In this paper we formalize the notions of strongand weak deniable authentication, and discuss the relationship between these definitions. We show that Bob can still securely authenticate messages from Alice after all his secret information is revealed to the adversary, but only when using a weakly (but not strongly) deniable scheme. We refer to this ability as post-compromise message authentication. We present two efficient encryption schemes that provide deniable authentication. Both schemes incur overhead similar to that of non-deniable schemes. As such, they are suitable not only when deniability is needed, but also as general encryption tools. We provide details of the encryption, decryption, forgery and keygeneration algorithms, and formally prove that our schemes are secure with respect to confidentiality, data authentication, and strongand weak deniable authentication.
Abnormal Neural Responses to Facial Expression Images in Major Depressive Patients

1Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan 2Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan 3Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan 4Integrated Brain Research Laboratory, Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan 5Psychiatry Department, Taipei Veterans General Hospital, Taipei, Taiwan
APPLICATION OF THERMAL AND ISOTHERMAL METHODS FOR COMPATIBILITY STUDIES OF METOPROLOL SUCCINATE WITH CARBOPOL POLYMERS

Article history Assessment of compatibility of drug with excipients helps not only in systemic selection of excipients for formulation development but also in developing strategies to mitigate stability related problems in the dosage forms. In the present investigation drug-excipients compatibility study was conducted for Metoprolol Succinate with Carbopol as polymers for development of controlled drug delivery system using non-thermal, thermal and isothermal methods. While the results of Infrared studies (non-thermal) indicated compatibility, the differential scanning calorimeter (thermal) thermograms showed physical incompatibility among drug and polymers. The literature review about physical behaviour of Carbopol at high temperature prompted to undertake isothermal stress testing by HPLC. The results of isothermal stress testing were studied, interpreted carefully and can be concluded that Metoprolol Succinate and Carbopol polymers were found to be compatible.
Modeling biogeochemical processes in sediments from the Rhône River prodelta area (NW Mediterranean Sea)

In situ oxygen microprofiles, sediment organic carbon content, and pore-water concentrations of nitrate, ammonium, iron, manganese, and sulfides obtained in sediments from the Rhone River prodelta and its adjacent continental shelf were used to constrain a numerical diagenetic model. Results showed that (1) the organic matter from the Rhone River is composed of a fraction of fresh material associated to high first-order degradation rate constants (11-33 yr−1); (2) the burial efficiency (burial/input ratio) in the Rhone prodelta (within 3 km of the river outlet) can be up to 80 %, and decreases to ~20 % on the adjacent continental shelf 10-15 km further offshore; (3) there is a large contribution of anoxic processes to total mineralization in sediments near the river mouth, certainly due to large inputs of fresh organic material combined with high sedimentation rates; (4) diagenetic by-products originally produced during anoxic organic matter mineralization are almost entirely precipitated (>97 %) and buried in the sediment, which leads to (5) a low contribution of the re-oxidation of reduced products to total oxygen consumption. Consequently, total carbon mineralization rates as based on oxygen consumption rates and using Redfield stoichiometry can be largely underestimated in such River-dominated Ocean Margins (RiOMar) environments.
An Efficient Attack Resistance Model UsingApplication Based Polynomial Distribution

Due to the increasing threat to the Internet on both popular Internet sites and Internet infrastructure, it is very challenging to provide reliable data transfer in a more secured manner for time-critical applications in an energyefficient way. Several attack resistance schemes have been proposed to increase the effect of detection rate and the limitations of security, minimize the power overload, and energy consumption. However, they all disregard the time factor they take to accomplish the task of providing security and therefore miss significant opportunities for attack resistance. In this paper, we propose new approach called as the Application based Polynomial Distribution (A-PD) model for mitigating the problems related to application oriented DDOS attack. With carefully designed attack resistance strategies, A-PD model distributes the application services prior to sending the packet data streams. Since the distribution of packet data streams is performed in an efficient manner, the abnormality of service or the attack rate is minimized. The organization of packet data stream is performed using polynomial distribution according to the classification of application services using probability density function. The application of probability density function increases the detection rate and accordingly equate with the network traffic. Our techniques significantly outperform the state-of-the-art works. In comparison to prior work, our experimental results show that our model outperforms better in terms of detection rate, execution time, minimizing load overhead achieve. This, in turn, leads to improved security
Ionic Coulomb blockade and anomalous mole fraction effect in the NaChBac bacterial ion channel and its charge-varied mutants

Background. The selectivity of biological cation channels is defined by a short, narrow selectivity filter, having a negative net fixed charge Qf . Voltage gated bacterial channels (NaChBac and some others) are frequently used in biophysics as simplified models of mammalian calcium and sodium channels. We report an experimental, analytic and numerical study of the effects of Qf and bulk ionic concentrations of Ca2+ and Na+ on conduction and selectivity of NaChBac channels, wild type and Qf -varied mutants. Methods. Site-directed mutagenesis and voltage clamp recordings were used to investigate the Na+ /Ca2+ selectivity, divalent blockade and anomalous mole fraction effect (AMFE) for different NaChBac wild type/mutants channels and the properties dependence on Qf . Experimental results were compared with Brownian dynamics simulations and with analytic predictions of the ionic Coulomb blockade (ICB) model, which was extended to encompass bulk concentration effects. Results. It was shown that changing of Qf from –4e (for LESWAS wild type) to –8e (for LEDWAS mutant) leads to strong divalent blockade of the Na+ current by micromolar amounts of Ca2+ ions, similar to the effects seen in mammalian calcium channels. The BD simulations revealed a concentration-related logarithmic shift of the conduction bands. These results were shown to be consistent with ICB model predictions. Conclusions. The extended ICB model explains the experimental (divalent blockade and AMFE) and simulated (multi-ion bands and their concentration-related shifts) selectivity phenomena of NaChBac channel and its charge-varied mutants. These results extend the understanding of ion channel selectivity and may also be applicable to biomimetic nanopores with charged walls.
Steganalysis for Reversible Data Hiding based on Neural Networks and Convolutional Neural Networks

Lossless data hiding techniques is a technique that is very interested. In which there is a large amount of reversible information hidden technologies. This technique is technically possible to restore the original image after extracting the information from the stego image. The stego image (image to be hidden secret data) is not detected hardly any variable. There are many studies for this field is published. Secret information is hidden on the pixel space, frequency (cosine, wavelet) coefficient space or difference image coefficient space. However, by analysing meticulously between the cover image and the stego image on these space can be detect abnormal signs. In my previous work, we produced a steganalytic techniques based on analysing the transform coefficient histogram with the correct detection ratio between 88% and 92%. In this article, my team give another method to improve the detection ratio of that steganalysis based on Neural Networks (NNs) and Convolutional Neural Networks (CNNs). Our test results show 94% correct detection rates for NNs and 93% for CNNs, this is a better result than our previous method. This proposed approach can be applied to detect stego images on spatial and other frequency domain.
INTEGRATED DESIGN OF STEEL CASTINGS FOR SERVICE PERFORMANCE

An integrated approach is presented for the design of structural components made of steel castings that couples casting simulation with stress and fatigue simulation of the part in service. The casting simulation is used to predict the location, size, and shape of porosity defects in the part. The porosity predictions are then transferred to finite element stress analysis and fatigue analysis codes in order to predict the strength and fatigue life of the part in the presence of porosity. Strength and fatigue measurements on test specimens cast with varying levels of porosity are performed to establish relations between the mechanical properties and the porosity; in particular, it is shown how the elastic modulus and the fatigue notch factor depend on the size and shape of the porosity. An industrial case study is used to validate the present simulation methodology. The case study illustrates that a large pore in a low stressed area of the casting may be far less detrimental than a small amount of microporosity in an area that is subject to high tensile stresses. The proposed integrated approach leads to the design of more reliable castings, tailored inspection standards, and decreased reliance on factors of safety.
A Circularly-Polarized Compact Wideband Patch Antenna Loaded by Metamaterial Structures

In this paper a compact wideband aperture coupled microstrip patch antenna (MPA) with impedance bandwidth of 26.3% is designed. Size reduction of the radiating element and the slot in the ground plane is achieved by incorporating an interdigital capacitor (IDC) in the patch and a complementary split ring resonator (CSRR) close to the slot which offers composite right/left-hand (CRLH) antenna. An interdigital capacitor in the patch acts as series left-hand component, and the slot together with the CSRR in the ground plane acts as a left-hand parallel inductor. By this technique, the patch and slot dimensions compared with the initial designed antenna are reduced about 26.2% and 30.2%, respectively. Through cutting CSRRs with different arrangements in the ground plane, a dual frequency band antenna is designed. Finally, a compact wideband circularly-polarized (CP) MPA is proposed through imposing various perturbations in the current route in the ground plane of the antenna. The maximum gain and the impedance bandwidth of the designed CP antenna are 8.4 dBi and 25%, respectively. Two designed antennas are fabricated and tested. The measurement results confirm the simulation ones.
Heat current in the magnetic field : Nernst-Ettingshausen effect above the superconducting transition

For maintaining gauge invariance in a magnetic field, the heat current operator should include the magnetic term. Taking this term into account, we revised calculations of the Nernst-Ettingshausen effect above the superconducting transition. We found that the fluctuations of the modulus of the order parameter do not change the particle-hole asymmetry (PHA) of the thermomagnetic effects. As in the normal state, the thermomagnetic effects in the fluctuation region are proportional to the square of PHA and, therefore, small. Large Nernst effect observed in the high-$T_c$ cuprates requires vortex-like excitations due to the phase fluctuations, which are beyond the Gaussian-fluctuation theory.
Testing Self-adaptive Software: Requirement Analysis and Solution Scheme

Self-adaptive software reconfigures automatically at run-time in order to react to environmental changes and fulfill its specified goals. Thereby, the system runs in a feedback loop which includes monitoring, analysis, adaptation planning, and execution. To assure functional correctness and non-functional adequacy, verification and validation is required. Hence, the feedback loop’s tasks have to be examined as well as the adapted system behavior that spans a much more complex decision space than traditional software. To reduce the complexity for testers, models can be employed and later be used to generate test cases automatically—an approach called Model-based Testing. Alternatively, the models can be executed directly for which simulation-based validation can be employed. For both methods, an engineer has to specify validation models expressing the system’s externally perceivable behavior as well as expectations derived from requirements. In this paper, we perform a Failure Mode and Effects Analysis on a generic perspective on selfadaptive software in order to derive additional requirements to be coped within test modeling. Besides functional requirements, we discuss non-functional requirements in particular. From these requirements, a reference solution scheme is derived that can be used to construct and evaluate validation methods for selfadaptive software. For illustration, we provide an example from the home robotics domain. Keywords—Self-adaptive Software; Model-based Testing; Simulation; Failure Modes and Effects Analysis.
Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

In this letter, a novel deep learning framework for hyperspectral image classification using both spectral and spatial features is presented. The framework is a hybrid of principal component analysis, deep convolutional neural networks (DCNNs) and logistic regression (LR). The DCNNs for hierarchically extract deep features is introduced into hyperspectral image classification for the first time. The proposed technique consists of two steps. First, feature map generation algorithm is presented to generate the spectral and spatial feature maps. Second, the DCNNs-LR classifier is trained to get useful high-level features and to fine-tune the whole model. Comparative experiments conducted over widely used hyperspectral data indicate that DCNNs-LR classifier built in this proposed deep learning framework provides better classification accuracy than previous hyperspectral classification methods.
The Effect of Upright Positions During The First Stage of Labour on Childbirth Types: A Meta-Analysis

Amac: Dogumun 1. evresinde rutin epidural analjezi almayan annelere uygulanan dik pozisyonlarin dogum tipi uzerine etkisini belirlemektir. Yontemler: Calismada meta-analiz yontemi kullanilmistir. Anahtar kelimeler ve dahil edilme kriterleri dogrultusunda 1970-2015 yillarinda yapilmis arastirmalar toplam 10 veri tabaninda taranmistir. Calismalarin yanlilik riskleri degerlendirilmis, yayin yanliligi, rastgele etkiler modeli ile genel etki buyuklugu, heterojenite testleri ve duyarlilik analizleri yapilmistir. Bulgular: Dahil edilme kriterleri dogrultusunda toplam 13 calisma (n=2441) analize dahil edilmistir. Rastgele etkiler modeline gore normal dogum orani genel etki buyuklugu; 1.035 (% 95 CI=0.961-1.115), mudahaleli dogum orani 0.871 (% 95 CI=0.591-1.285) ve sezaryen dogum orani 0.625 (% 95 CI= 0.416-0.940) olarak hesaplanmistir. Duyarlilik analizi sonucunda sezaryen dogum oranina ait risk oraninin 0.602 (%95 CI=0.319-1.134) ile istatistiksel olarak onemsiz duzeyde oldugu, ancak etki buyuklugu guven araliginin ve heterojenitenin daha genis oldugu dikkat cekmektedir. Sonuc: Dogumun 1. evresinde rutin epidural analjezi almayan annelerde dik pozisyonun normal dogum, mudahaleli dogum uzerine etkisinin onemsiz, ancak sezaryen dogum oranini azaltmada etkili oldugu saptanmistir. Arastirmacilara konuya iliskin metodolojisi uygun bir bicimde planlanmis deneysel calismalarin yapilmasi onerilmektedir. Dik pozisyonun herhangi bir zararinin saptanmamis olmasi, sezaryen dogumu azaltmada etkisinin onemli olmasi nedeni ile annelerin dogumda dik pozisyon kullanimin tesvik edilmesi, ancak pozisyonlara bireysel faktorleri dikkate alarak karar verilmesi onerilmektedir.