Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology of infantile hydrocephalus in Al-Madinah, Saudi Arabia: Prevalence study

Background: Hydrocephalus is a common condition in which cerebral spinal fluid (CSF) accumulates in the brain which eventually causes ventricular dilatation. This study aimed to determine the prevalence of infantile hydrocephalus in Madinah, Saudi Arabia from 2016 to 2017. Methodology: This was a retrospective cohort study conducted at Maternity and Children Hospital which is considered as the main pediatric hospital in Al Madinah city. All cases diagnosed with hydrocephalus during the first year of their life were included. The data required for the study was collected from the patient’s files, hospital data system, and previous studies. Descriptive analysis was done, where numbers and percentages were used to present all categorical variables. Results: Totally, 33 confirmed cases of infantile hydrocephalus were observed. The calculated prevalence was 1.1 per 1,000 live births. Of these 33 cases, 17 were boys and 16 were girls. Age ranged from 1 day to 336 days. Majority of the confirmed cases had congenital obstructive hydrocephalus (21 cases), while nine cases had communicating hydrocephalus and three babies had acquired obstructive hydrocephalus. Conclusion: A decline in the prevalence has been validated in the present study. Studies done in Saudi Arabia exhibited lower proportion in comparison from the studies done abroad. Although more research studies are needed to validate this claim as there are certain factors that should be considered such as the duration of data collection and study settings.
Application of Linear Friction Welding Technique to Aircraft Engine Parts

KUROKI Hiroshi : General Manager, Engine Technology Department, Research & Engineering Division, Aero-Engine & Space Operations NEZAKI Koji : General Manager, Welding Technology Department, Production Engineering Center, Corporate Research & Development WAKABAYASHI Tsukasa : Manager, Production Planning Department, Manufacturing Division, Aero-Engine & Space Operations NAKAMURA Kenji : Manager, Production Planning Department, Manufacturing Division, Aero-Engine & Space Operations
Extent of adoption of improved package of practices of rice cultivation technology by the beneficiary and non-beneficiary farmers in Hanumangarh district of Rajasthan

The study was conducted in Hanumangarh district of Rajasthan as the district had highest area and production of rice crop as compared to other district of Sri Ganganagar region. Three Panchayat samities were selected from district having highest area under rice crop and demonstrations were conducted under MMA about improved package of practices of rice crop. The Department of Agriculture, Govt. of Rajasthan has conducted demonstration on improved package of practices of rice cultivation technology in these twelve villages under MMA scheme. All the respondents who had participated in demonstration on improved package of practices of rice cultivation technology were called as beneficiary. Equal numbers of non-beneficiary farmers, who did not participate in the demonstrations, fromeach selected villages were also selected to make the study comparable. In all 210 respondents were included for the study purpose out of which 50 per cent i.e. 105 were beneficiaries and remaining 105 non-beneficiaries were rice growers. Data were collected by personal interview method. Various statistical measures viz., chi-square test, 'z' test, 't' test and spearman's rank correlation tests were used for analyzing the data. The beneficiary farmers possessed more knowledge than the non-beneficiary farmers. There existed similarity in rank assignment pattern and a significant difference in the knowledge level of beneficiary and non-beneficiary farmers.
Research on the Influence Dimensions of Project- Based Learning on College Students’ English Learning Ability*

This paper aims to study whether project-based learning can have a significant influence on the English learning ability of college students and the influence dimensions through a combination of quantitative and qualitative analysis. To this end, 80 sophomores were randomly selected as the tracking respondents. They were given a questionnaire survey of the same content at the end of the freshman year (traditional English class) and the end of the sophomore year (project-based learning reform) respectively to obtain the significance of changes in their learning ability with paired sample t-test. Meanwhile, the research team also conducted random classroom interviews with the follow-up subjects, and asked them to write a personal summary to reflect on their one-year project-based learning. Through the analysis of the above data and information, it is believed that project-based learning promotes the comprehensive development of students' English learning ability. Specifically, four dimensions, i.e., students' teamwork ability, selfmonitoring ability, language expression ability and network application ability, are significantly improved, while the enhancement of thinking ability approaches but does not reach a significant level, which may be due to its complicated nature. The feedback from most students shows that under the condition that traditional English classes can't mobilize students' learning initiative, project-based learning with the project group as the evaluation unit is indeed an effective means to “force” students to improve their learning ability. Keywords—project-based learning; traditional English class; English learning ability
DECLARATION OF ORIGINALITY

5 KEYWoRDs 5 aBstRaKt 5 Klíčová slova 5 BIBlIoGRaphIc cItatIon 5 DEclaRatIon oF oRIGInalItY 7 acKnoWlEDGEMEnt 9 oBsah 11 pREFacE 13 1 ovERvIEW oF thE cuRREnt statE oF KnoWlEDGE 15 1.1 Evolutional analysis 15 1.1.1 History of Formula One 15 1.1.2 History of Formula SAE 18 1.1.3 Future of Motorsports 21 1.2 TECHNICAL ANALYSIS 22 1.2. 1 Competition 22 1.2. 2 Vehicle 22 1.2. 3 Regulations 24 1.3 DESIGN ANALYSIS 26 2 pRoBlEM analYsIs anD thEsIs oBjEctIvEs 31 3 DEsIGn vaRIants 32 3.1 Methodology 32 3.2 1D Concept 33 3.3 2D Concept 34 3.4 3D Concept 35 4 shapE, coMposItIon, coloR anD GRaphIc solutIon 38 4.1 Dragon 3 Concept 38 4.1.1 Shape and Composition 38 4.1.2 Color and Graphic Solution 40 4.2 Dragon D Concept 42 4.2. 1 Shape and Composition 42 4.2. 2 Color and Graphic Solution 45 5 stRuctuRal, tEchnoloGIcal anD ERGonoMIc solutIon 46 5.1 Dragon 3 46 5.1.1 Manufacturing process 48 5.1.2 Ergonomics 50 5.2 Dragon D 53 5.2. 1 Ergonomics 55 6 DIscussIon 57 conclusIon 60 REFEREncEs 61 lIst oF FIGuRE REFEREncEs 63 lIst oF FIGuREs anD GRaphs 65 lIst oF annExEs 67 Table of contents
Corporate Governance and Equity Prices

Shareholder rights vary across firms. Using the incidence of 24 unique governance rules, we construct a "Governance Index" to proxy for the level of shareholder rights at about 1500 large firms during the 1990s. An investment strategy that bought firms in the lowest decile of the index (strongest rights) and sold firms in the highest decile of the index (weakest rights) would have earned abnormal returns of 8.5 percent per year during the sample period. We find that firms with stronger shareholder rights had higher firm value, higher profits, higher sales growth, lower capital expenditures, and made fewer corporate acquisitions.
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but also across different languages. Current unsupervised adversarial approaches show that it is possible to build a mapping matrix that aligns two sets of monolingual word embeddings without high quality parallel data, such as a dictionary or a sentence-aligned corpus. However, without an additional step of refinement, the preliminary mapping learnt by these methods is unsatisfactory, leading to poor performance for typologically distant languages. In this paper, we propose a weakly-supervised adversarial training method to overcome this limitation, based on the intuition that mapping across languages is better done at the concept level than at the word level. We propose a concept-based adversarial training method which improves the performance of previous unsupervised adversarial methods for most languages, and especially for typologically distant language pairs.
A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling

The ability to model, analyze, and predict execution time of computations is an important building block that supports numerous efforts, such as load balancing, benchmarking, job scheduling, developer-guided performance optimization, and the automation of performance tuning for high performance, parallel applications. In today’s increasingly heterogeneous computing environment, this task must be accomplished efficiently across multiple architectures, including massively parallel coprocessors like GPUs, which are increasingly prevalent in the world’s fastest supercomputers. To address this challenge, we present an approach for constructing customizable, cross-machine performance models for GPU kernels, including a mechanism to automatically and symbolically gather performance-relevant kernel operation counts, a tool for formulating mathematical models using these counts, and a customizable parameterized collection of benchmark kernels used to calibrate models to GPUs in a black-box fashion. With this approach, we empower the user to manage trade-offs between model accuracy, evaluation speed, and generalizability. A user can define their own model and customize the calibration process, making it as simple or complex as desired, and as application-targeted or general as desired. As application examples of our approach, we demonstrate both linear and nonlinear models; these examples are designed to predict execution times for multiple variants of a particular computation: two matrix-matrix multiplication variants, four discontinuous Galerkin differentiation operation variants, and two 2D five-point finite difference stencil variants. For each variant, we present accuracy results on GPUs from multiple vendors and hardware generations. We view this highly user-customizable approach as a response to a central question arising in GPU performance modeling: how can we model GPU performance in a cost-explanatory fashion while maintaining accuracy, evaluation speed, portability, and ease of use, an attribute we believe precludes approaches requiring manual collection of kernel or hardware statistics.
Size Ramsey numbers of triangle-free graphs with bounded degree

The size Ramsey number r̂(H) of a graph H is the smallest number of edges in a graph G which is Ramsey with respect to H, that is, such that every two-colouring of the edges of G contains a monochromatic copy of H. A seminal result of Chvátal, Rödl, Szemerédi and Trotter implies that for any ∆ there exists a constant b such that r̂(H) ≤ bn for every graph H with n vertices and maximum degree ∆. Recently, Kohayakawa, Rödl, Schacht and Szemerédi obtained the first subquadratic bound for this class of graphs, showing that r̂(H) = O(n2−1/∆+o(1)). Our main result is an improvement on this bound, namely, r̂(H) = O ( n 1 ∆−1/2 +o(1) ) , when H is also triangle-free. In particular, this improves the upper bound on the size Ramsey number of bipartite graphs with bounded degree. Following Kohayakawa et al., we work in the random setting, showing that for any ∆ there exist constants c and C such that the binomial random graph G(n, p) is with high probability Ramsey for all triangle-free graphs with cn vertices and maximum degree at most ∆, provided p ≥ (C log n/n)1/(∆−1/2). A crucial point is that this goes below the probability (log n/n), which is a natural boundary for problems that involve embedding a large graph of maximum degree ∆ in G(n, p). Our proof uses the sparse regularity lemma, the recently proven K LR conjecture and ideas of Ferber, Škorić and the authors on universality in random graphs. One of the new ingredients is a deterministic embedding strategy based on an incrementation argument and may be of independent interest.
AEI-2013-262 IGC-13 / 1102 Color / kinematics duality for general abelian orbifolds of N = 4 super Yang-Mills theory

To explore color/kinematics duality for general representations of the gauge group we formulate the duality for general abelian orbifolds of the SU(N), N = 4 super Yang-Mills theory in four dimensions, which have fields in the bi-fundamental representation, and use it to construct explicitly complete four-vector and fourscalar amplitudes at one loop. For fixed number of supercharges, graph-organized L-loop n-point integrands of all orbifold theories are given in terms of a fixed set of polynomials labeled by L representations of the orbifold group. In contrast to the standard duality-satisfying presentation of amplitudes of the N = 4 super YangMills theory, each graph may appear several times with different internal states. The color and R-charge flow provide a way to deform the amplitudes of orbifold theories to those of more general quiver gauge theories which do not necessarily exhibit color/kinematics duality on their own. Based on the organization of amplitudes required by the duality between color and kinematics in orbifold theories we show how the amplitudes of certain nonfactorized matter-coupled supergravity theories can be found through a double-copy construction. We also carry out a comprehensive search for theories with fields solely in the adjoint representation of the gauge group and amplitudes exhibiting color/kinematics duality for all external states and find an interesting relation between supersymmetry and existence of the duality.
On Information Acquisition, Noise Trading, and Speculation*

This paper provides a micro foundation for the behavior assumptions as well as outcomes in noisy rational expectations equilibrium models. If there are gains from trade, and all agents are rational and can acquire costly information, then equilibria in double auction markets may have the following properties. (i) Ex ante identically informed agents evolve endogenously to noise traders, speculators, and defensive traders. (ii) Because of endogenous noise trading the price is not fully revealing. (iii) Because of defensive trading the allocation is inefficient. In addition, some market microstructure implications are discussed.
Conditional generative adversarial network for 3D rigid‐body motion correction in MRI

Subject motion in MRI remains an unsolved problem; motion during image acquisition may cause blurring and artifacts that severely degrade image quality. In this work, we approach motion correction as an image‐to‐image translation problem, which refers to the approach of training a deep neural network to predict an image in 1 domain from an image in another domain. Specifically, the purpose of this work was to develop and train a conditional generative adversarial network to predict artifact‐free brain images from motion‐corrupted data.
Predicting therapist ratings of treatment progress and outcomes with the MMPI-2-RF.

OBJECTIVE We examined the ability of scores on the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) scales to predict treatment progress (compliance and activity in therapy) and outcome at termination (success in therapy, readiness for termination, and functioning at termination). METHOD Our sample included 448 (185 males, 263 females) community mental health center outpatients with an average age of 32.2 years (standard deviation = 10.2). We used MMPI-2-RF (self-report) indicators of personality and psychopathology and a composite outcome variable that represents therapist ratings of clients' treatment progress and outcomes. RESULTS Scores on several MMPI-2-RF scales were correlated and associated with increased risk for poorer psychotherapy progress and outcomes in a mental health outpatient sample. CONCLUSIONS Clinicians can utilize the MMPI-2-RF to identify clients at risk for therapy process challenges and adverse outcomes, suggesting possible problem areas for intervention.
Altered neuropsychological performance and reduced brain volumetrics in people living with HIV on integrase strand transfer inhibitors.

OBJECTIVES Neuropsychiatric symptoms have been reported in people living with HIV (PLWH) on integrase strand transfer inhibitors (INSTIs) in post marketing analysis. Limited data exists regarding brain integrity (function and structure) in PLWH prescribed INSTIs compared to other HIV treatment regimens. DESIGN A cross-sectional analysis of PLWH on combined antiretroviral therapy (cART) aged >18 years at a single institution. METHODS Neuropsychological tests were administered to calculate domain deficit scores (DDS) in learning/memory, executive function, and motor/psychomotor domains. Cortical and subcortical volumes from magnetic resonance imaging were obtained using the FreeSurfer software suite (v5.3) (Harvard University, Boston, MA). RESULTS Of 202 participants, median age 55 (48, 60) years old, 49% were on INSTI-based cART. PLWH on INSTIs were similar to individuals on non-INSTIs in terms of age, sex, race, education years, smoking history, depression scores, psychiatric medication use, presence of hepatitis C infection, history of substance use, HIV infection duration and recent or nadir CD4+ T cell count. Participants in the INSTI group performed worse than non-INSTI users in the verbal learning and memory domain (1.25 (interquartile range; 0.25, 2) versus (0.25 (0, 1.8); p = 0.02). The INSTI and non-INSTI groups were similar for other cognitive domains. Frontal, brain stem, and cerebellar volumes were reduced in INSTI compared to non-INSTI users (all p = <0.05). CONCLUSION We demonstrated modest differences in learning/memory performance and smaller brain volumes in PLWH on INSTI-based regimens compared to non-INSTI users. Prospective studies are needed to define mechanisms and the clinical significance of reduced brain integrity in PLWH on INSTIs.
A meta-analysis on the prognosis of exosomal miRNAs in all solid tumor patients

Background: It has been reported that the encapsulated miRNAs from exosomes are potential biomarkers of tumors prognosis. Yet, the results are controversial, so it is obliged to do a meta-analysis to reach a definite conclusion. Materials and methods: Studies were searched for published in PubMed, Embase, and Web of Science databases until April 20, 2018. A meta-analysis was conducted to appraise the role of exosomal miRNAs in prognosis of cancer patients. Results: The different exosomal miRNAs expression was remarkably related to overall survival (OS) (hazard ratio [HR] = 2.02, 95% confidence interval [CI]: 1.84–2.21) and disease-free survival (DFS) (HR = 2.43, 95% CI: 1.86–3.17) of cancer patients. High exosomal miR-21 expression was associated with poor OS (HR = 2.59; 95% CI: 1.71–3.90) and DFS (HR = 1.84; 95% CI: 1.37–2.47). High exosomal miR-451a expression was associated with poor OS (HR = 4.81; 95% CI: 2.33–9.93) and DFS (HR = 2.64; 95% CI: 1.62–4.31). High exosomal miR-1290 expression was associated with poor OS (HR = 1.73; 95% CI: 1.29–2.33). Low exosomal miR-638 expression was associated with poor OS (HR = 2.25; 95% CI: 1.46–3.46). Conclusion: The expression levels of exosomal miRNAs, particularly miR-21, miR-451a, miR-1290, and miR-638 could strongly predict prognosis of solid tumor patients and might be a potential target for tumor treatment.
Diagnosis and treatment of patients with comorbid substance use disorder and adult attention-deficit and hyperactivity disorder: a review of recent publications.

PURPOSE OF REVIEW Attention-deficit and hyperactivity disorder (ADHD) often presents with comorbid substance use disorders (SUD). Due to similarities in key symptoms of both disorders and suboptimal efficacy of the available treatments, clinicians are faced with difficulties in the diagnosis and treatment of these patients with both disorders. This review addresses recent publications between 2017 and 2019 on the etiology, prevalence, diagnosis and treatment of co-occurring ADHD and SUD. RECENT FINDINGS ADHD is diagnosed in 15-20% of SUD patients, mostly as ADHD with combined (hyperactive/inattentive) presentation. Even during active substance use, screening with the Adult ADHD Self-Report Scale (ASRS) is useful to address whether further diagnostic evaluation is needed. After SUD treatment, the diagnosis of ADHD generally remains stable, but ADHD subtype presentations are not. Some evidence supports pharmacological treatment with long-acting stimulants in higher than usual dosages. Studies on psychological treatment remain scarce, but there are some promising findings on integrated cognitive behaviour therapy. SUMMARY Diagnosis and treatment of patients with comorbid ADHD and SUD remain challenging. As ADHD presentations can change during active treatment, an active follow-up is warranted to provide treatment to the individuals' personal strengths and weaknesses.
Sudden gains in the alliance in cognitive behavioral therapy versus brief relational therapy.

OBJECTIVE Two decades of empirical research suggest that changes in symptoms are not linear, and many patients gain much of their symptom reduction in one between-sessions interval. Theoretically, such gains are expected to be manifested in the working alliance as well, following a rupture session; however, no study to date has directly examined between-sessions sudden gains in the alliance. In the present study we examined whether ruptures predict subsequent sudden gains in the alliance, which in turn show an effect on outcome that is specific to the treatment in which the alliance is conceptualized as an active mechanism of change. METHOD In a sample of 241 patient-therapist dyads, patients received either brief relational therapy (BRT), in which the alliance is conceptualized as an active mechanism of change, or cognitive-behavioral therapy (CBT), in which it is not. We examined whether patient and therapist reports of ruptures predicted sudden gains in alliance in the subsequent session, and whether early sudden gains in alliance were significantly associated with treatment outcome in BRT versus CBT. RESULTS Rupture sessions, as reported by therapists but not by patients, predicted a sudden gain in both patient and therapist-reported alliance in the subsequent session. Findings revealed a moderating effect of treatment condition on the association between sudden gains and treatment outcome, in which gains in alliance were associated with better treatment outcome in BRT than in CBT. CONCLUSIONS The findings support the potential role of gains in alliance as a specific mechanism of change in BRT versus CBT. (PsycINFO Database Record (c) 2019 APA, all rights reserved).