Miracle-dz/UniFAR-FTUs huggingface dataset:
The Results of Clinician-Focused Implementation Strategies on Uptake and Outcome of Measurement-Based Care in General Mental Health Care

BACKGROUND: Measurement-Based Care (MBC) is a promising way to improve outcomes in clinical practice, but the implementation of MBC is often problematic and the uptake by clinicians is low.METHODS: We used an effectiveness-implementation hybrid design based on Grol and Wensing’s implementation framework to examine the results of clinician-focused implementation strategies on both clinicians’ uptake of MBC and outcomes of MBC for clients in general mental health care. Primary outcomes were questionnaire completion rate and discussion of feedback. Secondary outcomes were treatment outcome, treatment length, and satisfaction with treatment. RESULTS: There was a significant medium effect of the MBC implementation strategies on questionnaire completion rate (one part of the clinicians’ uptake), but no significant effect on the amount of discussion of the feedback (the other part of the clinicians’ uptake). Neither was there a significant effect on clients’ outcomes (treatment outcome, treatment length, satisfaction with treatment). CONCLUSIONS: Establishing and sustaining MBC in real world general mental health care is very complex. Our study helps to disentangle the effects of MBC implementation strategies on differential clinician uptake, but the effects of MBC implementation strategies on client outcomes need further examination.
What drives the spatial variability of primary productivity and matter fluxes in the north-west African upwelling system? A modelling approach

A comparative box analysis based on a multi-decadal physical–biogeochemical hindcast simulation (1980–2009) was conducted to characterize the drivers of the spatial distribution of phytoplankton biomass and production in the north-west (NW) African upwelling system. Alongshore geostrophic flow related to large-scale circulation patterns associated with the influence of coastal topography is suggested to modulate the coastal divergence, and then the response of nutrient upwelling to wind forcing. In our simulation, this translates into a coastal upwelling of nitrate being significant in all regions but the Cape Blanc (CB) area. However, upwelling is found to be the dominant supplier of nitrate only in the northern Saharan Bank (NSB) and the Senegalo-Mauritanian (SM) regions. Elsewhere, nitrate supply is dominated by meridional advection, especially off Cape Blanc. Phytoplankton displays a similar behaviour with a supply by lateral advection which equals the net coastal phytoplankton growth in all coastal regions except the Senegalo-Mauritanian area. Noticeably, in the Cape Blanc area, the net coastal phytoplankton growth is mostly sustained by high levels of regenerated production exceeding new production by more than twofold, which is in agreement with the locally weak input of nitrate by coastal upwelling. Further offshore, the distribution of nutrients and phytoplankton is explained by the coastal circulation. Indeed, in the northern part of our domain (i.e. Saharan Bank), the coastal circulation is mainly alongshore, resulting in low offshore lateral advection of nutrients and phytoplankton. Conversely, lateral advection transports coastal nutrients and phytoplankton towards offshore areas in the latitudinal band off the Senegalo-Mauritanian region. Moreover, this latter offshore region benefits from transient southern intrusions of nutrient-rich waters from the Guinean upwelling.
"There's a big tag on my head":exploring barriers to treatment seeking with women who use methamphetamine in Sydney, Australia

Background Australia has a high prevalence of regular use of methamphetamine (MA). While half of people who use MA regularly are women, they make up only one third of people seeking treatment for MA use disorder (MaUD). There is a lack of qualitative research into the facilitators and barriers to treatment for women who use MA regularly. The study seeks a better understanding of the experiences and treatment preferences of women who use MA, to inform person-centred changes in practice and policy that break down barriers to treatment. Methods We conducted semi-structured interviews with 11 women who frequently use MA (at least once a week), and who are not engaged in treatment. Women were recruited from health services surrounding a stimulant treatment centre at an inner-city hospital. Participants were asked about their MA use and health service needs and preferences. Thematic analysis was completed using Nvivo software. Results Three themes were developed from participants' responses around experiences of regular MA use and treatment needs: 1. Resistance of stigmatised identity including dependence; 2. Interpersonal violence; 3. Institutionalised stigma. Clear service delivery preferences were also elicited, including continuity of care, integrated health care, and provision of non-judgmental services. Conclusion Gender-inclusive health care services for people who use MA should actively work to address stigma, support a relational approach to assessment and treatment, and seek to provide structurally competent health care that is trauma and violence informed, and integrated with other services. Findings may also have application for substance use disorders other MA.
Verifying Embedded Graphics Libraries leveraging Virtual Prototypes and Metamorphic Testing

Embedded graphics libraries are part of the firmware of embedded systems and provide complex functionalities optimized for specific hardware. After unit testing of embedded graphics libraries, integration testing is a significant challenge, in particular since the hardware is needed to obtain the output image as well as the inherent difficulty in defining the reference result. In this paper, we present a novel approach focusing on integration testing of embedded graphic libraries. We leverage Virtual Prototypes (VPs) and integrate them with Metamorphic Testing (MT). MT is a software testing technique that uncovers faults or issues in a system by exploring how its outputs change under predefined input transformations, without relying on explicit oracles or predetermined results. In combination with virtualizing the displays in VPs, we even eliminate the need for physical hardware. This allows us to develop a MT framework automating the verification process. In our evaluation, we demonstrate the effectiveness of our MT framework. On an extended RISC-V VP for the GD32V platform we found 15 distinct bugs for the widely used TFT eSPI embedded graphics library, confirming the strength our approach.
Assay sensitivity and specificity

59 Background : Circulating free DNA sequencing (cfDNA-Seq) can portray cancer 60 genome landscapes but highly sensitive and specific technologies are necessary to 61 accurately detect mutations with often low variant frequencies. 62 Methods : We developed a customizable hybrid-capture cfDNA-Seq technology 63 using off-the-shelf molecular barcodes and a novel duplex DNA-molecule 64 identification tool for enhanced error correction.
Gestural Interaction and Reading Skills: A Case of Study with People with Down Syndrome

People with Down syndrome present cognitive difficulties that affect their reading skills. In this study we present results about the use of gestural interaction with Kinect sensor to improve the reading skills of students with Down syndrome. Following a case of study method for small samples with disabilities, measuring different variables related to reading skills in an experimental group and in a control group. We found improvements in the visual association, visual comprehension, sequential memory, and visual integration after this stimulation in the experimental group compared to the control group. Also, we found that the number of error and delay time of interaction decrease between sessions in the experimental group.
Application and Performance Improvement of Transfer Learning on ICBHI Lung Sound Dataset

Chronic respiratory diseases are one of the leading causes of morbidity and mortality worldwide. How to prevent the disease or to diagnose and treat it effectively in the early stage has always been a focused medical research area. In this paper, a neural network that was pre-trained based on a large audio event dataset called AudioSet is transferred and applied in the training and testing of the Respiratory Sound database ICBHI; in addition, various methods are used in data preprocessing, neural network configuration and post-processing to improve the performance of the transfer learning model. The final model can not only converge quickly, but also use the accuracy calculation method provided by ICBHI Challenge to reach 81.1% in the four classification tasks containing normal, crackle, wheeze and both respiratory sounds, which is superior to the previous methods. This paper also analyzes the unbalanced distribution of the respiratory cycle dataset based on demographic data on the binary classification task (normal and abnormal). The binary classification model scored 85.5% and 81.1% on the female test group and the male test group, respectively. To address the above differences due to the unbalanced dataset, we used a restricted mixup approach to successfully reduce the difference between the male and female test groups to 0.82%.
Adherence to a Mediterranean diet associated with lower blood Adherence to a Mediterranean diet associated with lower blood pressure in a US sample: Findings from the Maine-Syracuse pressure in a US sample: Findings from the Maine-Syracuse Longitudinal Study Longitudinal Study

Hypertension is a key modifiable risk factor for cardiovascular disease. The Mediterranean diet (MedDiet) may be associated with improvements in blood pressure. However, few studies have examined the association between MedDiet adherence and blood pressure in non-Mediterranean populations, and findings are mixed. We analyzed cross-sectional data (Wave 6) for 851 participants of the Maine-Syracuse Longitudinal Study. MedDiet adherence was calculated using food frequency questionnaire data and a literature-based MedDiet adherence score. Dependent variables included systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP). Separate linear robust regression analyses revealed significant associations between MedDiet adherence and for SBP ( b = −0.69, 95% CI = [−1.25, −0.20]), DBP ( b = −0.33, 95% CI = [−0.58, −0.04]), and MAP ( b = −0.45, 95% CI = [−0.77, −0.11]), but not for PP. These findings indicate that
Automated veriﬁcation of countermeasure against detector-control attack in quantum key distribution

Attacks that control single-photon detectors in quantum key distribution using tailored bright illumination are capable of eavesdropping the secret key. Here we report an automated testbench that checks the detector’s vulnerabilities against these attacks. We illustrate its performance by testing a free-running detector that includes a rudimentary countermeasure measuring an average photocurrent. While our testbench automatically ﬁnds the detector to be controllable in a continuous-blinding regime, the countermeasure registers photocurrent signiﬁcantly exceeding that in a quantum regime, thus revealing the attack. We then perform manually a pulsed blinding attack, which controls the detector intermittently. This attack is missed by the countermeasure in a wide range of blinding pulse durations and powers, still allowing to eavesdrop the key. We make recommendations for improvement of both the testbench and countermeasure.
An Arti ﬁ cial Neural Network Reveals the Nucleation Mechanism of a Binary Colloidal AB 13 Crystal

: Colloidal suspensions of two species have the ability to form binary crystals under certain conditions. The hunt for these functional materials and the countless investigations on their formation process are justi ﬁ ed by the plethora of synergetic and collective properties these binary superlattices show. Among the many crystal structures observed over the past decades, the highly exotic colloidal icosahedral AB 13 crystal was predicted to be stable in binary hard-sphere mixtures nearly 30 years ago, yet the kinetic pathway of how homogeneous nucleation occurs in this system is still unknown. Here we investigate binary nucleation of the AB 13 crystal from a binary ﬂ uid phase of nearly hard spheres. We calculate the nucleation barrier and nucleation rate as a function of supersaturation and draw a comparison with nucleation of single-component and other binary crystals. To follow the nucleation process, we employ a neural network to identify the AB 13 phase from the binary ﬂ uid phase and the competing fcc crystal with single-particle resolution and signi ﬁ cant accuracy in the case of bulk phases. We show that AB 13 crystal nucleation proceeds via a coassembly process where large spheres and icosahedral small-sphere clusters simultaneously attach to the nucleus. Our results lend strong support for a classical pathway that is well-described by classical nucleation theory, even though the binary ﬂ uid phase is highly structured and exhibits local regions of high bond orientational order.
Sky High : Coordinating Muscles for Optimal Jump Performance

In the study of human movement, experimental measurement is generally limited to the kinematics of the body segments, external reaction forces, and electromyographic (EMG) signals. While these data are essential for characterizing movement, important information is missing. For example, because the body is actuated by more muscles than it has degrees of freedom, we cannot uniquely solve for the muscle forces that give rise to an observed motion. Yet, knowledge of muscle force is essential for quantifying the stresses placed on bones and also for understanding the functional roles of muscles in normal and pathological movement. Using dynamic models of the musculoskeletal system to simulate movement provides not only a means of estimating muscle forces, but also a framework for investigating how the various components of the musculoskeletal system interact to produce movement.
Novel Soft-Start Technique for Grid Integration of LCL-filtered Inverters

Start-up inrush current is the major threat on the reliability of the power electronic converters which may occur due to even a micro-level mismatch in the grid synchronization of inverters. This paper presents a novel technique to limit the inrush current while simultaneously reducing the synchronizing time. A feedforward voltage loop is introduced along with a current control loop with varying weightage (gain factors). In addition, the current control loop gain is adjusted at the start-up so that it catches up faster to further reduce the inrush current. A detailed investigation of the causes of the inrush current and the effect of the control loop dynamics is carried out. The effectiveness of the proposed technique is compared with various other start-up techniques in the literature. The results are validated through simulation and experimentation.
Magnetization dynamics in bistable systems

The magnetization dynamics in ferromagnetic materials will depend on the specific shape of the system’s energy landscape. In most systems, the energy landscapes can be approximated as paraboloids, resulting in a typical elliptical precession of the magnetization. However, this model is not always applicable to more complex potentials, which can present exotic precessions. The aim of this project was to measure the magnetization dynamics in a system where a non-parabolic potential was expected. From the dynamics, it would then be possible to estimate the energy potential of the system. In order to measure magnetization dynamics, time-resolved MOKE (magneto-optic Kerr effect) measurements were performed using a pump-and-probe technique. A permalloy (Fe 20 Ni 80 ) thin film with an uniaxial in-plane anisotropy was used as a sample, presumably presenting a bistable energy potential with two close minima at certain applied external magnetic fields. By measuring one component of the magnetization in the plane of the sample, the shape of the precession in this landscape could be extracted. The results show the expected parabolic precessions at higher external fields, from which energy landscapes could be constructed. The dynamics measured at one particular field also indicate a bistable energy potential although no exotic precessions were found.
Leadership and Organizational Strategy

Strategic planning, an umbrella term used to include and summarize such activities as planning, performance measurement, program budgeting, and the like, has proven to be very useful but limited. It is a technical fix that gets at only part of the question of organizational effectiveness and only deals with some of the dilemmas organizations face. The efforts of public administrators to control organizational endeavors are essential, necessary, and aligned with current best practices. But the control mechanisms ultimately prove to be only part of the puzzle. In the face of such realities, the notion of strategic thinking emerges to fill the gaps and overcome the limitations that experience with strategic planning has proven to exhibit. This paper presents an integration of leadership ideas, strategic thinking and traditional planning activities in an effort to make important connections and important distinctions. The result is an outline of the foundations of strategic thinking.
Comparative genomic analysis and proteolytic properties of Lactobacillus curieae CCTCC M2011381

Lactobacillus curieae CCTCC M2011381, a novel strain initially isolated from the brine of stinky tofu, acts as a starter in soymilk but not in milk. We investigated how evolution and physiology help L. curieae adapt to the soy environment. To do so, its whole genome was obtained through a large-scale sequencing using Illumina HiSeq 4000 and PacBio RSII. A comparative genome analysis between the strain and other four non-starter dairy strains, namely Lactobacillus brevis ATCC 367, Pediococcus pentosaceus ATCC 25745, L. plantar-um WCFS1, and L. reuteri JCM 1112 was carried out based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Cluster of Orthologous Groups (COG) of protein databases. The results indicated that the assembled genome comprised one circular chromosome (2.1 Mb) without a plasmid. The strain was not only phylogenetically close to L. brevis ATCC 367, but also had a close COG distribution to L. brevis ATCC 367. The strain lacked cell envelope proteinase (CEP) which is used for the initiation of casein utilisation, and some oligopeptide transporter systems for the di-, tri-, and tetrapeptides (Dpp system) as detected by rapid annotation using the Subsystem Technology annotation sever. However, it did have an oligopep-tide transporter (Opp) system, a peptidolysis system, and an amino acid synthetic pathway. The present work provides insight into the evolution of the L. curieae M2011381 proteolytic system, and its application in the fermentation of soy material.
STUDIES CARRIED OUT ON THE TOPIC OF SOCIAL RESPONSIBILITY: a view of the behavior of bibliographic production

: The subject of social responsibility has been debated for more than eight decades, initially at an international level and from the 90s onwards in Brazil, arising from different approaches and interests of different agents. This article aimed to show the development of this bibliographical production in the field of management, specifically mapping national and international works resulting from studies published between 2007 and 2022, in national and international journals. The indicators of authorship, objectives, methodology, field of application and conclusions of these studies were analyzed. The results of the analysis showed that the theme is dynamic and multidisciplinary and that there is a need to improve the concept. It can also be seen in the studies that there are varied conceptions of the concept, ranging from philanthropy to sustainability, with more recent research discussing indicators for the implementation and measurement of socially responsible actions so that theory is combined with practice. These procedures contribute to innovation on the topic, thus arousing the interest of researchers as well as companies and/or organizations in the implementation of permanent actions.
A Pan-Cancer Analysis of the Immunological and Prognostic Role of BUB1 Mitotic Checkpoint Serine/Threonine Kinase B (BUB1B) in Human Tumors.

BACKGROUND BUB1 mitotic checkpoint serine/threonine kinase B (BUB1B) is a member of the spindle assembly checkpoint family and is related to cancer disease progression, invasion, metastasis, and functional promotion of angiogenesis. Several studies have noted that the BUB1B gene is frequently upregulated in various types of cancers. However, the expression patterns of BUB1B across different cancer types and its diagnostic and prognostic potential have not been investigated from a pan-cancer perspective. METHODS The Cancer Genome Atlas (TCGA) data were used to explore the diagnostic and prognostic immunological potential of BUB1B in 33 cancer types. RESULTS BUB1B was almost universally upregulated across all cancers, with increased protein expression in at least six cancer types and an enhanced phosphorylation level of S670 in two cancer types. Furthermore, BUB1B expression was negatively associated with clinical progression and prognosis in most cancers. BUB1B expression was positively associated with tumor mutational burden and microsatellite instability in 17 and 7 cancer types, respectively, and there was a correlation between BUB1B expression and DNA methylation at multiple probes in 30 cancer types. Additionally, a positive relationship existed between BUB1B expression and the infiltration levels of Th2, Tcm, and T helper cells, whereas BUB1B showed a negative correlation with the infiltration levels of other immune cells in multiple cancers. Moreover, functions associated with cell cycle progression and ubiquitin-mediated proteolysis were involved in the functional mechanism of BUB1B. CONCLUSIONS Our pan-cancer study offers a comprehensive understanding of the role of BUB1B in tumorigenesis and tumor immunity across different types of cancer.
Query-Focused Extractive Summarization based on Deep Learning: Comparison of Similarity Measures for Pseudo Ground Truth Generation

Query-focused summarization aims to produce a single, short document that summarizes a set of documents that are relevant to a given query. While some deep learning approaches have recently been applied to solve this task, how to automatically generate reliable ground truth labels for training remains an open problem. In this study, we employ eight existing textual similarity measures to generate ground truth labels at the sentence level given a reference summary. We then feed these diﬀerent labelled data to deep learning approaches to generate extractive summaries. We use the DUC 2005-2007 benchmark datasets in our experiment. Our study shows that ROUGE-WE2 and ROUGE-SU measures achieved the best ROUGE scores in all deep neural models we employed.