Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of multiple types of genome-wide datasets and analysis of functional relationships among genes in the human genome

Recent technological advances in high-throughput data acquisition provide us with various types of large-scale datasets, such as whole genome sequences, gene expression, protein-protein interactions, functional pathways, location of transcription factor binding sites, etc. These datasets are not only large but also highly heterogeneous. Making biologically meaningful inferences requires a simultaneous computational analysis of these diverse genome-wide datasets. Such analyses, in turn, require linking heterogeneous data sets (data integration) and representing them in a form suitable for computational studies (data representation). These tasks are addressed by bioinformatics, a highly interdisciplinary field of science that, among its other goals, aims to integrate diverse and mutually complementary sources of 'omic' data (e.g., genomic, proteomic, etc.) into a single coherent systems biology framework in order to provide functional inference, reveal essential features of gene and protein interaction networks, and ultimately to model these networks. The results of such integrative studies have several key advantages (Gerstein et al, 2002; Greenbaum et al, 2001; Vidal, 2001). In particular, using multiple sources of information may allow us to reduce systematic noise inherently present in all types of experimental data. Integrative approaches are also important for the studies of complex diseases, such as cancer (Wachi et al, 2005), since predicting the status of disease cases based on multiple biomarkers represents a starting point towards translating genomics research into clinical medicine. The integrative approach can also be used for predicting properties of one type of data based on other types of 'omic' (genomic, proteomic, etc) data Such a promise of the integrative approach is based on the general assumption that, within a given genome, there exist interrelationships between heterogeneous types of genomic data (Grigoriev, 2001). Since even seemingly different data types describe various functional aspects of the same genome (e.g., the human genome), it seems reasonable to anticipate the existence of non-random associations among them. However, the existence of such associations needs to be verified and their strength needs to be quantified for each particular combination of data types (Vidal, 2001). In this chapter, we use the term 'association' instead of 'correlation' in order not to confuse it with correlation between expression profiles. A number of studies have demonstrated the existence of non-random pairwise associations between different types of large-scale 'omic' datasets. 'Non-random association' or just 'association' in this context means that genes that are functionally related with respect to one data type also tend to be related with …
Cross-linked matrix rigidity and soluble retinoids synergize in nuclear lamina regulation of stem cell differentiation

A nanofilm of cross-linked collagen-I is equivalent to a relatively stiff matrix, which stiffens the nucleus, correlating broadly with lamin-A (including mutant progerin), retinoic acid transcription factor level and activity, and osteoinduction. In vitro results are supported by studies of ectopic bone formation in vivo.
Direct probing of the Wigner function by time-multiplexed detection of photon statistics

We investigate the capabilities of loss-tolerant quantum state characterization using a photon-number resolving, time-multiplexed detector (TMD). We employ the idea of probing the Wigner function point-by-point in phase space via photon parity measurements and displacement operations, replacing the conventional homodyne tomography. Our emphasis lies on reconstructing the Wigner function of non-Gaussian Fock states with highly negative values in a scheme that is based on a realistic experimental set-up. In order to establish the concept of loss-tolerance for state characterization, we show how losses can be decoupled from the impact of other experimental imperfections, i.e. the non-unity transmittance of the displacement beamsplitter and non-ideal mode overlap. We relate the experimentally accessible parameters to effective ones that are needed for an optimized state reconstruction. The feasibility of our approach is tested by Monte Carlo simulations, which provide bounds resulting from statistical errors that are due to limited data sets. Our results clearly show that high losses can be accepted for a defined parameter range, and moreover, that—in contrast to homodyne detection—mode mismatch results in a distinct signature, which can be evaluated by analysing the photon number oscillations of the displaced Fock states.
Quality of Experience and Risk Perception in High-Altitude Rock Climbing

Six climbers were monitored during an expedition in the Himalaya, comprising 13 days of traveling and 26 days of mountaineering. The aim was the investigation of the quality of experienceand risk perception associated with high-altitude rock climbing. By means of experience sampling method, participants provided on-line repeated self-reports about activities carriedout, and the associated quality of the experience, in terms of mood, intrinsic motivation, potency, confidence, engagement, and risk assessment. The experience fluctuation model wasapplied to identify experiential profiles on the basis of the perception of environmental challenges and personal skills. When both challenges and skills were positive, flow experience wasreported. In particular, we found that the opportunity for experiencing flow can motivate climbers to take part in a risky expedition. The results showed that risk played a minor role in climbing,in line with a goal-directed approach to risk seeking. These findings have two implications: (a) Studies on motivation in sport should distinguish between risk and search for challenges andopportunities for action, especially in dealing with extreme sports; (b) In the recreational domain, outdoor programs, among other things, should aim at providing opportunities for flowand personal development.
A low-power digital GFSK receiver with mid-value filtering frequency offset estimator and soft anti-overlap slicer

In this paper, a digital Gaussian frequency-shift keying receiver with a data-aided mid-value filtering frequency offset estimator (MFFOE) and a soft anti-overlap slicer (SAS) is presented. The presented MFFOE can estimate carrier frequency offset (CFO) rapidly with a mid-value selector and a Kalman filter. The proposed SAS can eliminate the influence of intersymbol interference. Cooperated with MFFOE and SAS, the receiver offers considerable improvement on bit error rate (BER). The design is implemented in a standard 180-nm CMOS technology. The chip area is only 0.70 mm2. When the full function is activated, the power consumption is 0.56 mW from a 1.5-V supply. The verification results show that at 14 dB SNR and 200 KHz CFO, the proposed receiver achieves BER < 0.1%.
Novel realization of adaptive sparse sensing with sparse least mean fourth algorithm

Nonlinear sparse sensing (NSS) techniques have been adopted for realizing compressive sensing (CS) in many applications such as Radar imaging and sparse channel estimation. Unlike the NSS, in this paper, we propose an adaptive sparse sensing (ASS) approach using reweighted zero-attracting normalized least mean fourth (RZA-NLMF) algorithm which depends on several given parameters, i.e., reweighted factor, regularization parameter and initial step-size. First, based on the independent assumption, Cramer Rao lower bound (CRLB) is derived as for the performance comparisons. In addition, reweighted factor selection method is proposed for achieving robust estimation performance. Finally, to verify the algorithm, Monte Carlo based computer simulations are given to show that the ASS achieves much better mean square error (MSE) performance than the NSS.
On the Translation of Chinese Current Political New Words

The continuous emergences of new words as well as the gradual disappearances of old words are the law of the development of language and vocabulary. Along with the development and progress of Chinese society, there are large numbers of new words emerged in our daily lives. The quality of the Chinese new words’ translations, especially those new words related to the nation’s current politics and economy, directly affects China’s foreign political, economical and cultural communications. Therefore, it is of vital significance to make researches on the translations of the current political new words, so as to strengthen the Sino-foreign exchanges and cooperation in various aspects. This paper starts from some elementary translation theories, combines with China’s current situations, and tries to find some proper basic principles and specific methods to translate Chinese new words.
EVIDENCE‐BASED MANAGEMENT: THE VERY IDEA

This essay critically evaluates the recent phenomenon of ‘evidence-based management’ in public services that is especially prominent in health care. We suggest that the current approach, broadly informed by evidence-based health care, is misguided given the deeply contested nature of ‘evidence’ within the discipline of management studies. We argue that its growing popularity in spite of the theoretical problems it faces can be understood primarily as a function of the interests served by the universalization of certain forms of managerialist ‘evidence’ rather than any contribution to organizational effectiveness. Indeed, in a reading informed by the work of French geographer Henri Lefebvre, we suggest that in the long term the project is likely to inhibit rather than encourage a fuller understanding of the nature of public services. We conclude with a call for forms of organizational research that the current preoccupations of the evidence-based project marginalize if not write out altogether.
Semi-automatic phonetic labelling of large corpora

The aim of the present paper is to present a methodology to semi-automatically label large corpora. This methodology is based on three main points: using several concurrent automatic stochastic labellers, decomposing the labelling of the whole corpus into an iterative refining process and building a labelling comparison procedure which takes into account phonologic and acoustic-phonetic rules to evaluate the similarity of the various labelling of one sentence. After having detailed these three points, we describe our HMM-based labelling tool and we describe the application of that methodology to the Swiss French POLYPHON database.
Operator performance and subjective response in control of flexible manufacturing systems

Abstract In this study, allocation of functions and system size (number of machines) were manipulated to test their effects on operator performance and subjective response in a flexible manufacturing system (FMS). An experiment was conducted using a cross-over design with three independent variables: number of machines, task allocation, and sequence of task presentation. Operator performance was measured by response time, and subjective response assessed using two questionnaires. Physiological measures were also taken (EKG and respiratory rate). The results revealed that the number of machines in the system did not affect performance or subjective or physiological response while the effect of allocation level was significant for both performance and subjective response.
Maxillary protraction at early ages. The revolution of new bone anchorage appliances.

PURPOSE An update is provided on the different types of early treatment for class III malocclusions of maxillary origin. There is an increasing tendency to prescribe maxillary orthopedic treatment with skeletal anchorage, with the purpose of enhancing the skeletal and reducing the dentoalveolar effects--offering a management option for children with important deformations that otherwise would have to wait until adult age to receive surgical treatment. METHOD A literature review has been made of maxillary bone orthopedic traction appliances in growing children with class III malocclusions. A Medline (PubMed) search was made using the following MeSH terms: Cephalometric, Child, Malocclusion class III/therapy, Extraoral traction appliances, Palatal expansion, Bone plates, Skeletal anchorage, Orthodontic anchorage. RESULTS Many articles show that the greatest maxillary advances are obtained at very early ages, though with a greater tendency towards relapse. However skeletal anchorage has been seen to afford a lesser relapse rate and greater dentofacial orthopedic efficiency due to its low dentoalveolar impact. In any case, further randomized clinical studies are needed to firmly establish the quantifiable differences in terms of maxillary advance, optimum traction age, optimum traction appliance and potential side effects. At present, the incorporation of surgically inserted bone anchorage appliances (miniplates and miniscrews) offers a purely orthopedic approach to treatment, with minimization of the undesirable side effects of traditional dentofacial orthopedic compensation based on dentoalveolar anchorage. Nevertheless, further studies are needed to consolidate the supporting scientific evidence in this field.
The origins of voices: links between life history and voice hearing in a survey of 100 cases

A data synthesis is presented from 100 clinical cases, 80% with a diagnosis of schizophrenia or other psychotic disorder, in which Romme and Escher’s “construct” method was used to formulate voice-hearing content and characteristics in relation to life events. Across the sample, most participants heard between two and five voices and the average duration of voice hearing was 18 years. At least one adverse childhood experience was reported by 89% of the sample, including family conflict, neglect, physical/sexual/emotional maltreatment, and bullying. In addition, a broad range of acute, precipitating stressors were associated with the onset of voice hearing itself in both childhood and adulthood. In 94% of cases, it was possible to clearly formulate the underlying emotional conflicts embodied by the voices (e.g., low self-worth, anger, shame and guilt). Representations for voice identity (e.g., disowned aspects of self, a family member, a past abuser) were formulated in 78% of cases. It is proposed that many individuals hear voices that make psychological sense in the context of life events, and that this information can be clinically applied in ways that serve personal recovery.
Stochastic Stability of Jump Discrete-Time Linear Systems With Markov Chain in a General Borel Space

Necessary and sufficient conditions for stochastic stability (SS) of discrete-time linear systems subject to Markov jumps in the parameters are considered, assuming that the Markov chain takes values in a general Borel space S. It is shown that SS is equivalent to the spectrum radius of a bounded linear operator in a Banach space being less than 1, or to the existence of a solution of a Lyapunov type equation. These results generalize several previous results in the literature, which considered only the case of the Markov chain taking values in a finite or infinite countable space.
Measuring Effect of Graduate Student Service Learning Experiences: Pre-Post Self- Efficacy of Counseling and Educational Diagnostician Students

Abstract Advanced standards for the preparation of special education and counseling students require programs to incorporate collaboration experiences and collect outcome data for these experiences. Graduate students in the Educational Diagnostician and Counseling programs, collaboratively provided academic and career assessment to first-year at risk college students in a cross-disciplinary Service-Learning project. Pre-and post self-efficacy scales were administered along with prompted reflective writing. Paired t-test results indicated statistically significant differences ( p <. 05) for students from both programs indicating increases in professional self-efficacy. The Linguistic Inquiry and Word Count program was applied for analysis of the prompted reflective writing and revealed evidence of cognitive processes, such as insight, and positive affect about professional collaboration. The participants assessed by the graduate students also rated the experience positively.
Fibre Content and Cellularity of the Bone Marrow of the Iliac Crest, Vertebral Column and Sternum in Chronic Myeloproliferative Disorders

Heterogeneous content of fibres and haematopoesis within the bone marrow may affect diagnosis and staging in chronic myeloproliferative disorders (CMPDs). To evaluate their distribution, we conducted a post mortem histomorphometric study of 22 patients with CMPD in chronic phases. In bone marrow specimens from the anterior and posterior iliac crest (right and left of each), the sternum, the 7th thoracic and the 3rd lumbar vertebra, the argyrophil fibres were counted using the line intersection method and the cellular and fatty bone marrow using the point count method. Statistical analysis was performed by direct comparison of the sites. The distribution of fibres was almost homogeneous in the patients with low fibre content, revealing a random diversity in more advanced stages of marrow fibrosis. 1/22 patient had no fibre increase in one specimen of the iliac crest and overt myelofibrosis in the other sites. 1/22 patient had myelofibrosis in two sites of the iliac crest and no fibre increase in vertebral column and sternum. The bone marrow cellularity was almost homogeneously increased in all patients. Myelofibrosis proved to be a generalised process with heterogeneous grades of severity in different regions of the bone marrow in CMPDs. No topographical bias was found. In contrast to the homogeneous increase of the bone marrow cellularity the topographical heterogeneity of the fibre content may limit the representativity of single bone marrow biopsies in patients with CMPDs.
Within-Sulfonylurea-Class Evaluation of Time to Intensification with Insulin (ZODIAC-43)

Background Previous studies have shown that many within-class differences exist between sulfonylureas (SUs), however, whether differences exist regarding the time it takes between initiating an SU and the need to intensify treatment with insulin is unclear. The aim of this study was investigate the relationships between the three frequently used sulphonylureas, prescribed as dual therapy next to metformin, and the time needed to treatment intensification with either insulin or oral triple therapy in patients with type 2 diabetes mellitus. Methods Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) is a prospective observational cohort study set in primary care in the Netherlands. Annually collected data on diabetes medication and clinical variables within ZODIAC are used to evaluate the primary outcome, time to insulin and secondary outcome, time to either insulin or triple oral therapy. For statistical analysis a time-dependent cox proportional hazard model was used. Results 3507 patients were included in the analysis, with a mean age of 61 (SD 11.4) and a median HbA1c of 6.8% [IQR 6.4–7.4] (50.8 mmol/mol [IQR 46.4–57.4]). The hazard ratio (HR) for the primary endpoint was 1.10 (95% CI 0.78–1.54) for metformin/glimepiride and 0.93 (95% CI 0.67–1.30) for metformin/tolbutamide with metformin/gliclazide as reference group. The HR for the secondary outcome was 1.04 (95% CI 0.78–1.40) and 0.85 (95% CI 0.64–1.13), respectively. Conclusion In this large Dutch primary care cohort, new users of neither gliclazide, glimepiride nor tolbutamide as dual therapy with metformin, resulted in differences in the time needed for further treatment intensification.
An exploration of the Sandtray Play Approach for narrative skills development in first language Afrikaans-speaking Grade 3 learners with specific learning disability

Children with specific learning disability (SLD) struggle with reading, spelling and/or writing, and tend to have poor narrative skills (Fey, Catts, Proctor-Williams, Tomblin & Zhang, 2004; Scanlon, 2013). Although learners with SLD mostly use grammatical sentences after discharge from conventional speech-language therapy, they often still struggle with creating narratives and find comprehension tasks challenging. For this study, I chose an action research design (McNiff & Whitehead, 2013). I used a lesser known therapy approach with some of these learners, in an attempt to ascertain whether kinetic methods of teaching language can improve their narrative skills. The research question posed was: What changes in narrative skills (if any), measured in terms of micro and macro structure, are brought about by the Sandtray Play Approach (STPA) in first language (L1) Afrikaans-speaking Grade 3 learners with SLDs? I used the STPA with four L1 Afrikaans-speaking Grade 3 boys with SLD over a course of six weeks (on average two therapy sessions per week). During each session, they each choose a variety of miniature objects with which they individually built a so-called “Sandworld” in their own sandtray. After each Sandworld was built, the boys took turns telling their story and listening to those of the other group member. After each narration, each listener made one positive comment and asked one question about the story. During the intervention period, I regularly presented mini-sessions teaching the participants how to create, improve and expand their narratives. The Language in Multilingual Society: Multilingual Assessment of Narratives (LITMUS: MAIN-Afrikaans) (Gagarina, Klop, Kunnari, Tantele, Valimaa, Baluciuniene, Bohnacker, & Walters, 2012) was used to analyse preand post-intervention narratives in terms of story structure components; (in)completeness of episodes; mean length of utterance (in words); and use of subordinating and co-ordinating conjunctions, conjunctive adverbs and internal state terms. The preand post-intervention results of the four boys in the experimental group were compared to those of four boys who did not receive any STPA intervention and who formed the control group. All eight participants had been clinically diagnosed as presenting with an SLD. Stellenbosch University http://scholar.sun.ac.za
Stability and $l_1$ Gain Analysis of Boolean Networks With Markovian Jump Parameters

This paper presents some results on stability and <inline-formula><tex-math notation="LaTeX">$l_1$</tex-math> </inline-formula> gain analysis of Boolean networks with Markovian jump parameters. A necessary and sufficient condition for global stability of the concerned Boolean networks is given in terms of linear programming by utilizing the semi-tensor product of matrices and some properties of linear positive systems. Then, the definition of Lyapunov function for stochastic Boolean networks is presented and Lyapunov theorem is derived. Moreover, an <inline-formula> <tex-math notation="LaTeX">$l_1$</tex-math></inline-formula> gain problem for stochastic Boolean networks with external disturbances is formulated and solved by a sufficient condition. Examples are shown to illustrate the effectiveness of the obtained results.
Exploiting correlations for efficient content-based sensor search

Billions of sensor (e.g., in mobile phones or tablet pcs) will be connected to a future Internet of Things (IoT), offering online access to the current state of the real world. A fundamental service in the IoT is search for places and objects with a certain state (e.g., empty parking spots or quiet restaurants). We address the underlying problem of efficient search for sensors reading a given current state - exploiting the fact that the output of many sensors is highly correlated. We learn the correlation structure from past sensor data and model it as a Bayesian Network (BN). The BN allows to estimate the probability that a sensor currently outputs the sought state without knowing its current output. We show that this approach can substantially reduce remote sensor readouts.