Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization and immobilization of Trametes versicolor laccase on magnetic chitosan–clay composite beads for phenol removal

Abstract Laccase from Trametes versicolor was immobilized on magnetic chitosan–clay composite beads by glutaraldehyde crosslinking. The physical, chemical, and biochemical properties of the immobilized laccase and its application in phenol removal were comprehensively investigated. The structure and morphology of the composite beads were characterized by SEM, TGA, and FTIR analyses. The immobilized laccase showed better storage stability and higher tolerance to the changes in pH and temperature compared with free laccase. Moreover, the immobilized laccase retained more than 75% of its original activity after 10 cycles. The efficiency of phenol removal by immobilized laccase was about 80% under the optimum conditions after 4 h.
Elliptic Cohomology, P-adic Modular Forms and Atkin's Operator U P

We construct a p-adic version of Elliptic Cohomology whose coefficient ring agrees with Serre’s ring of p-adic modular forms. We then construct a stable operation Ûp in this theory agreeing with Atkin’s operator Up on p-adic modular forms. Throughout the paper we assume given a fixed prime p ≥ 5. We begin as in [2] by considering the universal Weierstrass cubic (for Z(p) algebras) Ell/R∗: Ell:Y 2 = 4X − g2X − g3 where R∗ = Z(p)[g2, g3] is the graded ring for which |gn| = 4n. We can also assign gradings 4, 6 to X, Y respectively. Now the discriminant ∆Ell = g 2 − 27g 3 is non-zero and hence Ell is an elliptic curve over R∗. Thus we can define an abelian group structure on Ell considered as a projective varietysee [5], [11]. This has the unique point at infinity O = [0, 1, 0] as its zero. We can take the local parameter T = − Y and then the group law on Ell yields a formal group law (commutative and 1 dimensional) F over R∗. This is explained in detail in for example [11]. Associated to this is an invariant differential ω Ell = dT ∂ ∂Y F E``(T, 0) = dX Y which can also be written as ω Ell = d log E`` (T ). The formal group law F is classified by a unique homomorphism φ: L∗ −→ R∗ where L∗ is Lazard’s universal ring (given its natural grading). But topologists are aware that L∗ is isomorphic to MU∗, the coefficient ring of complex (co)bordism MU∗( ), and moreover the natural orientation for complex line bundles in this theory has associated to it a universal formal group law F . This is all explained in for example [1]. Thus we obtain a genus φE``: MU∗ −→ R∗. The ring R∗ can be identified with a ring of modular forms for SL2(Z) which are holomorphic at i∞ as explained in [2]. Under this identification we have R∗ ∼= S(Z(p))∗ where g2 ←→ 1 124 and g3 ←→ − 1 216 E6 and E2n denotes the weight 2n Eisenstein function. We will use this identification without further comment. Now Elliptic Cohomology is usually defined by first localising R∗ at the multiplicative set generated by ∆Ell which makes R∗[∆−1 Ell] universal for elliptic curves. However, this is not necessary if we only worry about the formal group law (in fact such a Weierstrass cubic is always non-singular at O). We define a functor on the category of finite CW complexes by E``[1]∗( ) = R∗(V1)⊗MU∗MU( ) where V1 ∈ R2(p−1) is the image of the Eisenstein function Ep−1 in R∗. ‡ We would like to thank the SERC for support whilst this research was carried out.
Unsatisfied customer call detection with deep learning

In this paper, we describe our practical efforts for applying speech emotion recognition(SER) in customer care scenarios. We systematically analyze the challenges we observe in our data, which are very different from speech emotion databases uttered by actors. Our contributions are two-fold. One, we propose a 2-level framework to measure the customers satisfaction score on the conversation level. We explore most acoustic and semantic features reported in previous work for SER and propose a few new features such as rhythm features. Second, we combine a fully connected deep neural network model with acoustic features, a convolutional neural network model with semantic features as well as rules from business experiences. We compare our approach with a few methods reported in the literature. The obtained system can detect unsatisfied customer calls with 64.4% precision at the recall of 30%. The precision is 18% absolutely better than a decent baseline built on top of traditional classification algorithms.
Factors influencing organizational knowledge transfer: implication for corporate performance

Purpose – Whilst knowledge transfer is a major strategy for managing contemporary organizations the impact of the key factors influencing the rate of organization knowledge transfer is relatively unknown. As a contribution to this identified gap this paper aims to discuss the influence of particular organizational factors (IT systems, structured learning strategies, innovative organizational culture, and flexible structure and design) on knowledge transfer using a conceptual framework derived from the literature. The effect of both explicit and tacit knowledge transfer on innovative capabilities and organizational performance is to be examined.Design/methodology/approach – The survey study, conducted amongst 1,086 high‐tech companies, targeted chief executive officers), CFOs (chief financial officers), COOs (chief operation officers) or top managers/administrators as they provided more reliable environmental and organizational information.Findings – The study findings, based on a sample response rate of 1.
The evolution of early Foraminifera

Fossil Foraminifera appear in the Early Cambrian, at about the same time as the first skeletonized metazoans. However, due to the inadequate preservation of early unilocular (single-chambered) foraminiferal tests and difficulties in their identification, the evolution of early foraminifers is poorly understood. By using molecular data from a wide range of extant naked and testate unilocular species, we demonstrate that a large radiation of nonfossilized unilocular Foraminifera preceded the diversification of multilocular lineages during the Carboniferous. Within this radiation, similar test morphologies and wall types developed several times independently. Our findings indicate that the early Foraminifera were an important component of Neoproterozoic protistan community, whose ecological complexity was probably much higher than has been generally accepted.
Recreational facilities and leisure-time physical activity: An analysis of moderators and self-efficacy as a mediator.

OBJECTIVE To examine socio-demographic and psychosocial moderators, and self-efficacy as a mediator of the cross-sectional relationships between having access to recreational facilities and leisure-time physical activity (LTPA); to investigate the extent to which the environment-LTPA associations could be explained by self-selection to neighborhoods. DESIGN A two-stage stratified sampling design was used to recruit 2,650 adults (aged 20-65) from 32 urban communities varying in walkability and socioeconomic status. Participants reported perceived access to facilities and home equipment for LTPA, weekly minutes of LTPA, self-efficacy for and enjoyment of LTPA, reasons for neighborhood selection, and socio-demographic characteristics. MAIN OUTCOME MEASURES Self-reported recreational walking and other forms of moderate-to-vigorous LTPA expressed in MET-minutes. RESULTS Specific types of recreational facilities were independently associated with LTPA. Age, education, being overweight/obese, reasons for neighborhood selection, enjoyment of, and self-efficacy for LTPA moderated these relationships. Self-efficacy was not a significant mediator of these cross-sectional associations. CONCLUSION These findings have potentially significant implications for the planning of environmental interventions aimed at increasing population-level LTPA particularly in those who are less attitudinally inclined to being physically active.
An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks

The Internet of Things (IoT) is a recent evolutionary technology that has been the primary focus of researchers for the last two decades. In the IoT, an enormous number of objects are connected together using diverse communications protocols. As a result of this massive object connectivity, a search for the exact service from an object is difficult, and hence the issue of scalability arises. In order to resolve this issue, the idea of integrating the social networking concept into the IoT, generally referred as the Social Internet of Things (SIoT) was introduced. The SIoT is gaining popularity and attracting the attention of the research community due to its flexible and spacious nature. In the SIoT, objects have the ability to find a desired service in a distributed manner by using their neighbors. Although the SIoT technique has been proven to be efficient, heterogeneous devices are growing so exponentially that problems can exist in the search for the right object or service from a huge number of devices. In order to better analyze the performance of services in an SIoT domain, there is a need to impose a certain set of rules on these objects. Our novel contribution in this study is to address the link selection problem in the SIoT by proposing an algorithm that follows the key properties of navigability in small-world networks, such as clustering coefficients, path lengths, and giant components. Our algorithm empowers object navigability in the SIoT by restricting the number of connections for objects, eliminating old links or having fewer connections. We performed an extensive series of experiments by using real network data sets from social networking sites like Brightkite and Facebook. The expected results demonstrate that our algorithm is efficient, especially in terms of reducing path length and increasing the average clustering coefficient. Finally, it reflects overall results in terms of achieving easier network navigation. Our algorithm can easily be applied to a single node or even an entire network.
A Single Case Study of Cognitive Remediation Therapy with an Adolescent with Disordered Eating

Picky eating is currently not included in the diagnostic classification system DSM-IV TR as a distinct category of eating disorders in childhood. It can reach clinical significance requiring intervention when it results in chronic nutritional inadequacies and/or harmful impact on social development or family functioning. Studies have shown that patients with eating disorders have difficulties with executive functioning. These findings have been used to develop an intervention based on cognitive remediation therapy (CRT) which targets thinking skills and their role in the development and maintenance of an eating disorder. To further investigate, this study assessed the efficacy of an 8-week, intensive cognitive training program in a pre-adolescent with picky eating behaviors. The participant was assessed before and after the eight sessions using assessments of executive function and a personality measure. The parent participated in a clinical interview and completed a paper-and-pencil measure of executive functioning at baseline and post-treatment. Assessment results showed improvements in logical planning, shifting, and self-confidence. The participant was aware of an improvement in his attention. Participant feedback was generally negative towards cognitive training. This study suggests that cognitive training appears promising as an intervention in improving executive functioning. The short nature and promising results of this intervention make it an attractive addition in the school setting for at-risk students with disordered eating.
A low-power clock gating cell optimized for low-voltage operation in a 45-nm technology

This paper discusses a novel clock gating cell (CGC) optimized for low-power and low-voltage operation. First, the limitations of the conventional CGC topology are analyzed and several improvements are proposed. Next, the new CGC topology is introduced and compared to the conventional one in terms of dynamic clock power, leakage, area, timing, and low-voltage operation. Finally, the paper discusses the silicon measurements taken to verify the correct functionality of the new circuit in a 45-nm technology optimized for low standby power.
Improved Modeling of Cross-Decoder Phone Co-Occurrences in SVM-Based Phonotactic Language Recognition

Most common approaches to phonotactic language recognition deal with several independent phone decodings. These decodings are processed and scored in a fully uncoupled way, their time alignment (and the information that may be extracted from it) being completely lost. Recently, we have presented two new approaches to phonotactic language recognition which take into account time alignment information, by considering time-synchronous cross-decoder phone co-occurrences. Experiments on the 2007 NIST LRE database demonstrated that using phone co-occurrence statistics could improve the performance of baseline phonotactic recognizers. In this paper, approaches based on time-synchronous cross-decoder phone co-occurrences are further developed and evaluated with regard to a baseline SVM-based phonotactic system, by using: 1) counts of n-grams (up to 4-grams) of phone co-occurrences; and 2) the degree of co-occurrence of phone n-grams (up to 4-grams). To evaluate these approaches, a choice of open software (Brno University of Technology phone decoders, LIBLINEAR and FoCal) was used, and experiments were carried out on the 2007 NIST LRE database. The two approaches presented in this paper outperformed the baseline phonotactic system, yielding around 7% relative improvement in terms of CLLR. The fusion of the baseline system with the two proposed approaches yielded 1.83% EER and CLLR=0.270 (meaning 18% relative improvement), the same performance (on the same task) than state-of-the-art phonotactic systems which apply more complex models and techniques, thus supporting the use of cross-decoder dependencies for language recognition.
How to increase serotonin in the human brain without drugs.

For the last 4 decades, the question of how to manipulate the serotonergic system with drugs has been an important area of research in biological psychiatry, and this research has led to advances in the treatment of depression. Research on the association between various polymorphisms and depression supports the idea that serotonin plays a role, not only in the treatment of depression but also in susceptibility to depression and suicide. The research focus here has been on polymorphisms of the serotonin transporter, but other serotonin-related genes may also be involved.1–5 In the future, genetic research will make it possible to predict with increasing accuracy who is susceptible to depression. Much less attention has been given to how this information will be used for the benefit of individuals with a serotonin-related susceptibility to depression, and little evidence exists concerning strategies to prevent depression in those with such a susceptibility. Various studies have looked at early intervention in those with prodromal symptoms as well as at population strategies for preventing depression.6–11 Obviously, prevention is preferable to early intervention; moreover, although population strategies are important, they are ideally supplemented with preventive interventions that can be used over long periods of time in targeted individuals who do not yet exhibit even nonclinical symptoms. Clearly, pharmacologic approaches are not appropriate, and given the evidence for serotonin's role in the etiology and treatment of depression, nonpharmacologic methods of increasing serotonin are potential candidates to test for their ability to prevent depression.
Correlation of in vivo and ex vivo 1H-MRI with histology in two severities of mouse spinal cord injury

Spinal cord injury (SCI) is a debilitating neuropathology with no effective treatment. Magnetic resonance imaging (MRI) technology is the only method used to assess the impact of an injury on the structure and function of the human spinal cord. Moreover, in pre-clinical SCI research, MRI is a non-invasive method with great translational potential since it provides relevant longitudinal assessment of anatomical and structural alterations induced by an injury. It is only recently that MRI techniques have been effectively used for the follow-up of SCI in rodents. However, the vast majority of these studies have been carried out on rats and when conducted in mice, the contusion injury model was predominantly chosen. Due to the remarkable potential of transgenic mice for studying the pathophysiology of SCI, we examined the use of both in and ex vivo 1H-MRI (9.4 T) in two severities of the mouse SCI (hemisection and over-hemisection) and documented their correlation with histological assessments. We demonstrated that a clear distinction between the two injury severities is possible using in and ex vivo 1H-MRI and that ex vivo MR images closely correlate with histology. Moreover, tissue modifications at a remote location from the lesion epicenter were identified by conventional ex vivo MRI analysis. Therefore, in vivo MRI has the potential to accurately identify in mice the progression of tissue alterations induced by SCI and is successfully implemented by ex vivo MRI examination. This combination of in and ex vivo MRI follow-up associated with histopathological assessment provides a valuable approach for further studies intended to evaluate therapeutic strategies on SCI.
Performance-based assessments and demand for personal care in older Japanese people: a cross-sectional study

Objectives To identify appropriate clinical tests for determining the demand for personal care in older Japanese people. Design Cross-sectional observation study. Setting Obu Study of Health Promotion for the Elderly (Obu, Aichi) and Tsukui Ordered Useful Care for Health (241 day-care centres) cohorts in Japan. Participants A total of 10 351 individuals aged 65 years or older (6791 with personal care and 3560 without personal care) participated in the study. Measures Physical performance tests included grip strength, the chair stand test, walking speed at a comfortable pace, and the timed up-and-go test. Personal care was defined as participants who had been certified in the national social long-term care insurance in Japan. Results Individuals who received personal care showed a significantly poorer performance than those without personal care for all physical performance tests (p<0.001). Gait speed was the most useful of the physical performance tests to determine the demand for personal care (receiver operating characteristic curve statistics: men, 0.92; women, 0.94; sensitivity: men, 86; women, 90; specificity: men, 85; women, 85). After adjustment for age, sex, cognitive impairment and other physical tests, all physical performance tests were individually associated with the demand for personal care. A slow gait speed (<1 m/s) was more strongly correlated with the demand for personal care than other performance measures (gait speed OR: 5.9; 95% CI: 5.0 to 6.9). Conclusions Clinical tests of physical performance are associated with the demand for personal care in older people. Preventive strategies to maintain physical independence may be required in older adults who show a gait speed slower than 1 m/s. Further research is necessary to confirm these preliminary results.
Intentions and Intentionality: Foundations of Social Cognition

Social interaction requires social cognition -- the ability to perceive, interpret, and explain the actions of others. This ability fundamentally relies on the concepts of intention and intentionality. For example, people distinguish sharply between intentional and unintentional behavior; identify the intentions underlying others' behavior; explain completed actions with reference to intentions, beliefs, and desires; and evaluate the social worth of actions using the concepts of intentionality and responsibility. Intentions and Intentionality highlights the roles these concepts play in social cognition. Taking an interdisciplinary approach, it offers cutting-edge work from researchers in cognitive, developmental, and social psychology and in philosophy, primatology, and law. It includes both conceptual and empirical contributions.
The effect of SNPs in CYP450 in chloroquine/primaquine Plasmodium vivax malaria treatment

Background: Chloroquine/primaquine is the current therapy to eliminate Plasmodium vivax infection in the Amazon region. Aims: This study investigates CYP1A2, CYP2C8, CYP2C9, CYP3A4 and CYP3A5 genetic polymorphisms influence on cloroquine/primaquine treatment. Patients & methods: Generalized estimating equations analyses were performed to determine the genetic influence in parasitemia and/or gametocytemia clearance over treatment time in 164 patients. Results: An effect of CYP2C8 low-activity alleles on treatment was observed (p = 0.01). From baseline to first day of treatment, wild-type individuals achieved greater reduction of gametocytes than low-activity allele carriers. CYP2C9 and CYP3A5 genes showed a trend for gametocytemia and parasitemia clearance rates. Conclusion: Future studies should be performed to access the extent of CYP2C8, CYP2C9 and CYP3A5 gene polymorphisms influence on cloroquine/primaquine treatment.
Activating somatic mutations in diffuse large B-cell lymphomas: lessons from next generation sequencing and key elements in the precision medicine era

Abstract Diffuse large B-cell lymphoma (DLBCL) is the most common form of lymphoma, accounting for 30–40% of newly diagnosed non-Hodgkin lymphomas. Historically, DLBCL has been thought to involve recurrent translocations of the immunoglobulin heavy (IGH) locus and the deregulation of rearranged oncogenes. Whole exome sequencing (WES) of more than 200 DLBCLs has completely redefined the genetic landscape of the disease by identifying recurrent single nucleotide variants and providing new therapeutic opportunities in DLBCL molecular subtypes. Some of these somatic mutations target genes that play a crucial role in B-cell function (B cell receptor [BCR] signaling, nuclear factor κB [NF-κB] pathway, Toll-like receptor [TLR] signaling and phosphatidylinositol 3-kinase [PI3K] pathway), immunity, cell cycle/apoptosis or chromatin modification. In this review, following an overview of the somatic mutations reported in DLBCL, we focus on activating and clustered mutations targeting genes including MYD88, CD79A/B, EZH2 and CARD11 and discuss their clinical and therapeutic relevance in the precision medicine era.
Sulphur and zinc abundances in Galactic stars and damped Lyα systems

High resolution spectra of 34 halo population dwarf and subgiant stars have been obtained with VLT/UVES and used to derive sulphur abundances from the λλ8694. 0, 8694.6 and λλ9212. 9, 9237.5 SI lines. In addition, iron abundances have been determined from 19 Fell lines and zinc abundances from the λλ4722. 2,4810.5 lines. The abundances are based on a classical ID, LTE model atmosphere analysis, but effects of 3D hydrodynamical modelling on the [S/Fe], [Zn/Fe] and [S/Zn] ratios are shown to be small. We find that most halo stars with metallicities in the range -3.2 -1, [S/Fe] decreases with increasing [Fe/H]. Hence, sulphur behaves like other typical α-capture elements, Mg, Si and Ca. Zinc, on the other hand, traces iron over three orders of magnitude in [Fe/H], although there is some evidence for a small systematic Zn overabundance ([Zn/Fe] ≃ +0.1) among metal-poor disk stars and for halo stars with [Fe/H] < -2.0. Recent measurements of S and Zn in ten damped Lyα systems (DLAs) with redshifts between 1.9 and 3.4 and zinc abundances in the range -2.1 < [Zn/H] < -0.15 show an offset relative to the [S/Zn] - [Zn/H] relation in Galactic stars. Possible reasons for this offset are discussed, including low and intermittent star formation rates in DLAs.