Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of physical, psychological, and sexual intimate male partner violence on women's mental health: depressive symptoms, posttraumatic stress disorder, state anxiety, and suicide.

OBJECTIVE This study aimed to determine the impact of lifetime physical, psychological, and sexual intimate male partner violence (IPV) on the mental health of women, after controlling for the contribution of lifetime victimization. The comorbidity of depressive symptoms and posttraumatic stress disorder (PTSD) and their relation to state anxiety and suicide were also assessed. METHODS Physically/psychologically (n = 75) and psychologically abused women (n = 55) were compared with nonabused control women (n = 52). Information about sociodemographic characteristics, lifetime victimization, and mental health status (depressive and state anxiety symptoms, PTSD, and suicide) was obtained through face-to-face structured interviews. RESULTS Women exposed to physical/psychological and psychological IPV had a higher incidence and severity of depressive and anxiety symptoms, PTSD, and thoughts of suicide than control women, with no differences between the two abused groups. The concomitance of sexual violence was associated with a higher severity of depressive symptoms in both abused groups and a higher incidence of suicide attempts in the physically/psychologically abused group. The incidence of PTSD alone was very rare, and depressive symptoms were either alone or comorbid with PTSD. The severity of state anxiety was higher in abused women with depressive symptoms or comorbidity, as was the incidence of suicidal thoughts in the physically/psychologically abused group. Lifetime victimization was not a predictor of the deterioration of mental health in this study. CONCLUSIONS These findings indicate that psychological IPV is as detrimental as physical IPV, with the exception of effects on suicidality, which emphasizes that psychological IPV should be considered a major type of violence by all professionals involved.
Elasto-plastic analysis of functionally graded metal-ceramic beams under mechanical loading

The elasto-plastic analysis of functionally graded (FG) metal-ceramic beams under mechanical loading by using the finite element method is presented. A bilinear stress-strain relation with isotropic hardening is assumed for elasto-plastic behaviour of metal, and the effective elasto-plastic properties of the functionally graded material are evaluated by using Tamura-Tomota-Ozawa (TTO) model. A nonlinear beam element based on the classical beam theory is formulated and employed in the analysis. The element employed nonlinear von K\'am\'an strain-displacement relationship is derived by using the neutral surface as reference plane. The layer beam approach, in which the plastic rate equation is solved at Gauss points, is adopted in updating the stress and evaluating the element nodal force vector and tangent stiffness matrix. Numerical examples are given to show the accuracy of the derived formulation and to illustrate the effect of the material distribution and plastic deformation on the behavior of the beams. The formation and propagation of plastic zone during the loading process is also examined and highlighted.
Selection of Apis mellifera workers by the parasitic mite Varroa destructor using host cuticular hydrocarbons

SUMMARY The parasitic mite, Varroa destructor, is the most important threat for apiculture in most bee-keeping areas of the world. The mite is carried to the bee brood cell, where it reproduces, by a nurse bee; therefore the selection of the bee stage by the parasite could influence its reproductive success. This study investigates the role of the cuticular hydrocarbons of the European honeybee (Apis mellifera) in host-selection by the mite. Preliminary laboratory bioassays confirmed the preference of the varroa mite for nurse bees over pollen foragers. GC-MS analysis of nurse and pollen bees revealed differences in the cuticular hydrocarbons of the two stages; in particular, it appeared that pollen bees have more (Z)-8-heptadecene than nurse bees. Laboratory experiments showed that treatment of nurse bees with 100 ng of the pure compound makes them repellent to the varroa mite. These results suggest that the mite can exploit the differences in the cuticular composition of its host for a refined selection that allows it to reach a brood cell and start reproduction. The biological activity of the alkene encourages further investigations for the development of novel control techniques based on this compound.
VLRU: Buffer management in client-server systems

SUMMARY In a client-server system, when LRU or its variant buﬀer replacement strategy is used on both the client and the server, the cache performance on the server side is very poor mainly because of pages duplicated in both systems. This paper introduces a server buﬀer replacement strategy which uses a replaced page-id than a request page-id, for the primary information for its operations. The importance of the corresponding pages in the server cache is decided according to the replaced page-ids that are delivered from clients to the server, so that locations of the pages are altered. Consequently, if a client uses LRU as its buﬀer replacement strategy, then the server cache is seen by the client as a long virtual client LRU cache extended to the server. Since the replaced page-id is only sent to the server by piggybacking whenever a new page fetch request is sent, the operation to deliver the replaced page-id is simple and induces a minimal overhead. We show that the proposed strategy reveals good performance characteristics in diverse situations, such as single and multiple clients, as well as with various access patterns.
Biomarkers of alcohol misuse: recent advances and future prospects

Alcohol abuse and dependence are highly prevalent in many cultures and contribute considerably to the global burden of health and social issues. The current inability to accurately characterise long-term drinking behaviours is a major obstacle to alcoholism diagnosis and treatment. Therefore, it is of great importance to develop objective diagnostic tools to discern subjects with excessive alcohol use and alcoholism or to confirm abstinence. Research over past years has revealed several biochemical compounds with considerable potential for accurate reflection of alcohol intake. This review will address the issue of alcohol biomarker definition, the types of molecules used as so-called traditional biomarkers, and the compounds that can serve as novel biomarker candidates or components of biomarker panels.
Evolution and Development of Modular Control Architectures for 1D Locomotion in Six-legged Animats

An evolutionary approach is used to design neural control architectures for virtual sixlegged animats. Using a geometry-oriented variation of the cellular encoding scheme and syntactic constraints that reduce the size of the genetic search space, the developmental programs of straight locomotion controllers are first evolved. One such controller is then included as the first module in a larger architecture, in which a second neural module is evolved and develops connections to the first one, so as to set locomotion on or offaccording to sustained or instantaneous external control signals. Such an incremental approach should prove useful to the automatic design of relatively complex control architectures that might, in particular, implement some cognitive abilities over and above mere stimulus-response mechanisms.
Null space based discriminant sparse representation large margin for face recognition

In this paper, we propose a novel subspace learning algorithm, termed as null space based discriminant sparse representation large margin (NDSLM). There are two contributions in the paper. First, we propose a new expectation to obtain the neighborhood information for large margin subspace learning, i.e., the within-neighborhood scatter and between-neighborhood scatter are modeled by the sparse reconstruction weights of the samples from the same class and different classes, respectively. Since the neighborhood information formed by sparse representation can capture non-linearities in the data, the proposed method possesses more discriminative information than the traditional large margin learning methods with the expectation using Euclidean distance, etc. Second, the large margin information integrated into the model of Fisher criterion makes the discriminating power of NDSLM further boosted. NDSLM addresses the small sample size problem by solving an eigenvalue problem in null space. Experiments on ORL, Yale, AR, Extended Yale B and CMU PIE five face databases are performed to evaluate the proposed algorithm and the results demonstrate the effectiveness of NDSLM.
The In Vitro and In Vivo Wound Healing Properties of the Chinese Herbal Medicine “Jinchuang Ointment”

“Jinchuang ointment” is a traditional Chinese herbal medicine complex for treatment of incised wounds. For more than ten years, it has been used at China Medical University Hospital (Taichung, Taiwan) for the treatment of diabetic foot infections and decubitus ulcers. Three different cases are presented in this study. “Jinchuang” ointment is a mixture of natural product complexes from nine different components, making it difficult to analyze its exact chemical compositions. To further characterize the herbal ingredients used in this study, the contents of reference standards present in a subset of the ointment ingredients (dragon's blood, catechu, frankincense, and myrrh) were determined by HPLC. Two in vitro cell based assay platforms, wound healing and tube formation, were used to examine the biological activity of this medicine. Our results show that this herbal medicine possesses strong activities including stimulation of angiogenesis, cell proliferation, and cell migration, which provide the scientific basis for its clinically observed curative effects on nonhealing diabetic wounds.
Multilingual WSD with Just a Few Lines of Code: the BabelNet API

In this paper we present an API for programmatic access to BabelNet -- a wide-coverage multilingual lexical knowledge base -- and multilingual knowledge-rich Word Sense Disambiguation (WSD). Our aim is to provide the research community with easy-to-use tools to perform multilingual lexical semantic analysis and foster further research in this direction.
Non-Orthogonal Multiple Access for Cooperative Communications: Challenges, Opportunities, and Trends

NOMA is a promising radio access technique for next-generation wireless networks. In this article, we investigate the NOMA-based cooperative relay network. We begin with an introduction of the existing relay-assisted NOMA systems by classifying them into three categories: uplink, downlink, and composite architectures. Then we discuss their principles and key features, and provide a comprehensive comparison from the perspective of spectral efficiency, energy efficiency, and total transmit power. A novel strategy called hybrid power allocation is further discussed for the composite architecture, which can reduce the computational complexity and signaling overhead at the expense of marginal sum rate degradation. Finally, major challenges, opportunities, and future research trends for the design of NOMA-based cooperative relay systems with other techniques are also highlighted to provide insights for researchers in this field.
Visual acuity in fish consumers of the Brazilian Amazon: risks and benefits from local diet

Abstract Objective To examine the associations between near and distant visual acuity and biomarkers of Hg, Pb, n-3 fatty acids and Se from the local diet of fish-eating communities of the Tapajós River in the Brazilian Amazon. Design Visuo-ocular health and biomarkers of Hg (hair, whole blood, plasma), Pb (whole blood), Se (whole blood and plasma) and n-3 fatty acids (plasma total phospholipids) were assessed in a cross-sectional study. Setting Lower Tapajós River Basin (State of Pará, Brazil), May to July 2006. Subjects Two hundred and forty-three adults (≥15 years) without diagnosed age-related cataracts or ocular pathologies. Results Near visual acuity was negatively associated with hair Hg and positively associated with %DHA, with a highly significant Log Hg × age interaction term. Stratifying for age showed that while young people presented good acuity, for those aged ≥40 years, clinical presbyopia was associated with hair Hg ≥ 15 μg/g (OR = 3·93, 95 % CI 1·25, 14·18) and %DHA (OR = 0·37, 95 % CI 0·11, 1·11). A similar age-related pattern was observed for distant visual acuity in relation to blood Pb, but the evidence was weaker. Conclusions These findings suggest that Hg and Pb may affect visual acuity in older persons, while DHA appears to be protective for near visual acuity loss. In this population, with little access to eye care, diet may have an important influence on visuo-ocular ageing.
Polymerase chain reaction on cerebrospinal fluid for diagnosis of virus-associated opportunistic diseases of the central nervous system in HIV-infected patients

Objective:To assess the diagnostic reliability of polymerase chain reaction (PCR) on cerebrospinal fluid (CSF) for virus-associated opportunistic diseases of the central nervous system (CNS) in HIV-infected patients. Design:CSF samples from 500 patients with HIV infection and CNS symptoms were examined by PCR. In 219 patients the PCR results were compared with CNS histological findings. Methods:Nested PCR for detection of herpes simplex virus (HSV) type 1 or 2, varicella zoster virus (VZV), cytomegalovirus (CMV), Epstein–Barr virus (EBV), human herpesvirus 6 (HHV-6), and JC virus (JCV) DNA. Histopathological examination of CNS tissue obtained at autopsy or on brain biopsy. Results:DNA of one or more viruses was found in CSF in 181 out of 500 patients (36%; HSV-1 2%, HSV-2 1%, VZV 3%, CMV 16%, EBV 12%, HHV-6 2%, and JCV 9%). Among the 219 patients with histological CNS examination, HSV-1 or 2 was detected in CSF in all six patients (100%) with HSV infection of the CNS, CMV in 37 out of 45 (82%) with CMV infection of the CNS, EBV in 35 out of 36 (97%) with primary CNS lymphoma, JCV in 28 out of 39 (72%) with progressive multifocal leukoencephalopathy. Furthermore, HSV-1 was found in one, VZV in four, CMV in three, EBV in three, HHV-6 in seven, and JCV in one patient without histological evidence of the corresponding CNS disease. Conclusions:CSF PCR has great relevance for diagnosis of virus-related opportunistic CNS diseases in HIV-infected patients as demonstrated by its high sensitivity, specificity, and the frequency of positive findings.
Service Discovery Method Based on User Intent

This paper introduces a method that supports a user who has only a vague idea of service use in discovering suitable mobile applications. The proposal allows the user to add application functions after selecting the purpose of service use from a list of novel application functions. The proposal is based on our concept of ISHI (Intent of Service and Human Interface) which works as an interface between service and user. ISHI can automatically determine the importance level and the novelty level of an application from various data. The proposed method is based on not only natural language but also the structured data of mobile applications. User experiments show that the proposed method yields, compared to the conventional method, better performance with respect to the time duration of application search and the frequency of recourse to new service functions.
Cardiac Stem Cell Treatment in Myocardial Infarction: A Systematic Review and Meta-Analysis of Preclinical Studies.

RATIONALE Cardiac stem cells (CSC) therapy has been clinically introduced for cardiac repair after myocardial infarction (MI). To date, there has been no systematic overview and meta-analysis of studies using CSC therapy for MI. OBJECTIVE Here, we used meta-analysis to establish the overall effect of CSCs in preclinical studies and assessed translational differences between and within large and small animals in the CSC therapy field. In addition, we explored the effect of CSC type and other clinically relevant parameters on functional outcome to better predict and design future (pre)clinical studies using CSCs for MI. METHODS AND RESULTS A systematic search was performed, yielding 80 studies. We determined the overall effect of CSC therapy on left ventricular ejection fraction and performed meta-regression to investigate clinically relevant parameters. We also assessed the quality of included studies and possible bias. The overall effect observed in CSC-treated animals was 10.7% (95% confidence interval 9.4-12.1; P<0.001) improvement in ejection fraction compared with placebo controls. Interestingly, CSC therapy had a greater effect in small animals compared with large animals (P<0.001). Meta-regression indicated that cell type was a significant predictor for ejection fraction improvement in small animals. Minor publication bias was observed in small animal studies. CONCLUSIONS CSC treatment resulted in significant improvement of ejection fraction in preclinical animal models of MI compared with placebo. There was a reduction in the magnitude of effect in large compared with small animal models. Although different CSC types have overlapping culture characteristics, we observed a significant difference in their effect in post-MI animal studies.
Dynamic and Balanced Control of Three-Phase High-Power Dual-Active Bridge DC–DC Converters in DC-Grid Applications

The three-phase dual-active bridge (DAB) is a dc–dc converter, which provides galvanic isolation, inherent soft-switching capability, and small filter size. In this study, the dynamic behavior of three-phase DAB is analyzed and a dynamic control strategy is developed. Furthermore, a compensation technique is implemented to compensate unbalanced transformer phase currents. The latter is often caused by asymmetric leakage inductances. State space averaging and first harmonic approximation models, both for the steady state and transient analysis, are developed to describe the dynamic behavior of the three-phase DAB. The accuracy of the models is compared with a detailed circuit simulation and the benefits of each model are identified. When the transferred power of the DAB changes fast, the transformer currents can become unbalanced, leading to oscillations in the output current. A unique control method is presented, which allows settling of the transformer currents within one-third of the switching period. Additionally, the transformer currents stay symmetrical and oscillations are avoided. Based on this fast current control, an outer voltage controller is designed. The comparison of the control system using the fast current control and the conventional quasi-steady-state control demonstrates the potential advantages of the new approach under dynamic conditions. In practice, it is difficult to achieve completely symmetrical short-circuit impedances in a high-power medium-voltage transformer. Asymmetric leakage inductances, however, result in unbalanced phase currents and higher dc current ripple in a three-phase DAB. The new control scheme that is developed here can be extended to compensate any unbalances in the transformer. This approach enables effectively the balancing of the three-phase currents. The new control schemes are experimentally verified.
Integrating computational protein function prediction into drug discovery initiatives

Pharmaceutical researchers must evaluate vast numbers of protein sequences and formulate innovative strategies to identify valid targets and discover leads against them in order to accelerate drug discovery. The ever‐increasing number and diversity of novel protein sequences identified by genomic sequencing projects and the success of worldwide structural genomics initiatives have spurred great interest and impetus in the development of methods for accurate, computationally empowered protein function prediction and active site identification. Previously, in the absence of direct experimental evidence, homology‐based protein function annotation remained the gold standard for in silico analysis and prediction of protein function. However, with the continued exponential expansion of sequence databases, this approach is not always applicable, as fewer query protein sequences demonstrate significant homology to protein gene products of known function. As a result, several non‐homology‐based methods for protein function prediction that are based on sequence features, structure, evolution, biochemical, and genetic knowledge have emerged. This works reviews current bioinformatic programs and approaches for protein function prediction/annotation and discusses their integration into drug discovery initiatives. The development of such methods to annotate protein functional sites and their application to large protein functional families is crucial to successfully using the vast amounts of genomic sequence information available to drug discovery and development processes. Drug Dev Res 72: 4–16, 2011. © 2010 Wiley‐Liss, Inc.
Sintering and Oxidation of GdB4 Synthesized by B4C Reduction Method

Gadolinium tetraboride (GdB 4 ) was synthesized by reduction of Gd 2 O 3 using boron carbide in presence of carbon. Effect of temperature on product quality was investigated. Pure GdB 4 powder was obtained in vacuum at 1500 o C. Pressureless sintering experiments revealed that sintering takes place only above 1600 o C. A maximum density of 77.1% of the theoretical value was obtained at 1800 o C by pressureless sintering. Hot pressing resulted in 95.5% of theoretical density at the lower temperature of 1700 o C under 35 MPa pressure. Hardness and fracture toughness of dense GdB 4 were measured and found to be 21.4 GPa and 2.3 MPa · m 1/2 , respectively. After exposure to air at 900 o C, the formation of a porous and non-protective oxide layer was observed.
Conceptual ecological model of the Sian Ka’an Biosphere Reserve, Quintana Roo, Mexico

Located on the Caribbean Coast in the State of Quintana Roo, the Sian Ka’an Biosphere Reserve (RBSK) is one of Mexico’s largest protected areas. The ecosystems of Sian Ka’an and the Greater Everglades are similar in many respects. The natural systems of Quintana Roo, Mexico and Florida’s Greater Everglades and adjacent coastal ecosystems support economically important fisheries and tourism industries. Both systems are threatened by growing human populations and associated development, as well as other stressors on the ecosystem, including unsustainable uses, agricultural and urban development, and increased extraction of natural resources. Valuable lessons in ecosystem ecology and management are being learned from the South Florida Ecosystem Restoration Initiative (SFERI) that can and should be applied to the Sian Ka’an Biosphere Reserve. Conceptual ecological models have been used in Greater Everglades ecosystems to communicate major issues in restoration and to identify attributes and biological indicators for evaluating alternative restoration plans and for designing monitoring and assessment programs. The conceptual ecological model for RBSK is a conservation model rather than a restoration model; it does not explain effects that have already occurred but, rather, hypothesizes effects that, based on experience, are likely to occur. Stressors in the Sian Ka’an Conceptual Ecological Model are driven by local and national societal needs and not natural drivers. Attributes identified were similar to those in Greater Everglades systems and included hydrology and water quality, upland, wetland and coastal fauna, and vegetation patterns. Visual aesthetics also were identified as significant. Linkages between stressors and attributes are being used to design and communicate science and management needs for the Reserve.