Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrasound-guided vacuum-assisted biopsy is an accurate type of biopsy to detect female breast cancer.

Gland Surg 2022 | https://dx.doi. org/10.21037/gs-21-807 We read the recent published paper by Lu and colleagues entitled “A systematic review and meta-analysis: value of ultrasound-guided vacuum-assisted biopsy (VAB) in the diagnosis and treatment of breast lesions” (1). Lu and colleagues confirm that ultrasound-guided VAB has excellent performance in the diagnosis of breast cancer. We appreciate Lu et al. (1) for the valuable study, however, we have several concerns that need to be elucidated in order to augment the validity of the Lu et al.’ (1) conclusions. First, in the results section of the abstract, the authors depicted that the platelet-lymphocyte ratio (PLR) and neutrophil to lymphocyte ratio (NLR) were the effect sizes. However, the indicators of PLR and NLR had nothing to do with this study. Actually, the PLR and NLR are abbreviations for positive likelihood ratio and negative likelihood ratio. Furthermore, the authors revealed ultrasound-guided VAB in the treatment of breast lesions in the title. However, this study aimed to assess the performance of ultrasound-guided VAB diagnosing breast cancer, and did not refer to the treatment of breast cancer. Therefore, we consider that the title of this article might not be appropriate. Second, this article is a systematic review and metaanalysis of diagnostic test accuracy studies. The odds ratio (OR) was introduced in the statistical analysis section. However, OR was not suitable for the present study and was not referred in the results section. Therefore, we believe that the unnecessary effect size depicted would result in misunderstanding. Furthermore, the assessment of the risk of bias and methodological quality of the included studies might be more appropriate by using the Quality Assessment of Diagnostic Accuracy Studies 2 tool, which is a revised quality assessment application developed definitely for a meta-analysis of diagnostic accuracy studies (2). Third, the ten studies included in the heterogeneity assessment showed significant heterogeneity (χ=37.10 for sensitivity, P=0.011; χ=32.00 for specificity, P=0.043). As the significant heterogeneity, meta-regression and subgroup analyses should be performed to explore potential sources of heterogeneity. The covariates such as country, year of publication, and sample size might be taken into account when meta-regression and subgroup analyses are performed. Fourth, the lack of evaluation of publication bias is an important issue. Publication bias is inherent to the publication process, where large or positive results are given precedence. Therefore, the Deeks’ funnel plot asymmetry test should be applied to evaluate publication bias, through a P value >0.05 showing no significant publication bias (3). Therefore, without analysis of publication bias, the clinical validity of the findings can be called into question. We appreciate that Lu et al. (1) analysed a valuable issue concerning the clinical efficacy on the use of ultrasoundguided VAB diagnosing breast cancer. We make these Letter to the Editor
Detecting Learning Patterns in Tertiary Education Using K-Means Clustering

We are in the era where various processes need to be online. However, data from digital learning platforms are still underutilised in higher education, yet, they contain student learning patterns, whose awareness would contribute to educational development. Furthermore, the knowledge of student progress would inform educators whether they would mitigate teaching conditions for critically performing students. Less knowledge of performance patterns limits the development of adaptive teaching and learning mechanisms. In this paper, a model for data exploitation to dynamically study students progress is proposed. Variables to determine current students progress are defined and are used to group students into different clusters. A model for dynamic clustering is proposed and related cluster migration is analysed to isolate poorer or higher performing students. K-means clustering is performed on real data consisting of students from a South African tertiary institution. The proposed model for cluster migration analysis is applied and the corresponding learning patterns are revealed.
Topology-Level Reactivity in Distributed Reactive Programs: Reactive Acquaintance Management using Flocks

Reactive programming is a popular paradigm to program event-driven applications, and it is often proposed as a paradigm to write distributed applications. One such type of application is *prosumer* applications, which are distributed applications that both produce and consume many events. We analyse the problems that occur when using a reactive programming language or framework to implement prosumer applications. We find that the assumption of an open network, which means prosumers of various types spontaneously join and leave the network, can cause a lot of code complexity or run-time inefficiency. At the basis of these issues lies *acquaintance management*: the ability to discover prosumers as they join and leave the network, and correctly maintaining this state throughout the reactive program. Most existing reactive programming languages and frameworks have limited support for managing acquaintances, resulting in accidental complexity of the code or inefficient computations. In this paper we present acquaintance management for reactive programs. First, we design an *acquaintance discovery* mechanism to create a *flock* that automatically discovers prosumers on the network. An important aspect of flocks is their integration with reactive programs, such that a reactive program can correctly and efficiently maintain its state. To this end we design an *acquaintance maintenance* mechanism: a new type of operator for functional reactive programming languages that we call `deploy-*`. The `deploy-*` operator enables correct and efficient reactions to time-varying collections of discovered prosumers. The proposed mechanisms are implemented in a reactive programming language called Stella, which serves as a linguistic vehicle to demonstrate the ideas of our approach. Our implementation of acquaintance management results in computationally efficient and idiomatic reactive code. We evaluate our approach quantitatively via benchmarks that show that our implementation is efficient: computations will efficiently update whenever a new prosumer is discovered, or a connected prosumer is dropped. To evaluate the distributed capabilities of our prototype implementation, we implement a use-case that simulates the bike-sharing infrastructure of Brussels, and we run it on a Raspberry Pi cluster computer. We consider our work to be an important step to use functional reactive programming to build distributed systems for open networks, in other words, distributed reactive programs that involve many prosumer devices and sensors that spontaneously join and leave the network.
Microcontroller Systems in Education for Sustainable Development Service. A Qualitative Thematic Meta-Analysis

Goal of the present paper is to answer the research question: Can the proper use of Microcontroller Board |Systems as educational tools help achieve the goals of Education for Sustainable Development? In order to answer the aforementioned question, a meta-analysis of the qualitative strategy of four recently published relevant papers was utilized. The technique of Thematic Analysis was used. The results show that the proper adaptation of Microcontroller Board Systems in the educational process can adequately help achieve the goals of the Education for Sustainable Development. In order to achieve these goals in the pedagogical framework, the Microcontroller System can be adapted in such a way as to serve the approaches of holistic & systemic thinking, HASS&STEM interdisciplinarity and multidisciplinarity, constructivist approach to knowledge, cooperative learning, critical thinking, cultivation of values, and learning satisfaction of the Education for Sustainable Development.
Online Optimal Service Selection, Resource Allocation and Task Offloading for Multi-Access Edge Computing: A Utility-Based Approach

Multi-access edge computing promises satisfactory user experience by offloading tasks to the MEC server deployed at the network edge. However, since the MEC server is often resource-limited as compared to the cloud infrastructure, how to efficiently utilize its resources for system performance optimization becomes a challenge. In this paper, we study this problem with the aim at maximizing user's QoE through jointly optimizing service selection, computation resource allocation and task offloading decision, which is less studied in existing literature. We formulate a mixed-integer nonlinear programming problem (MINLP) for the task and propose a utility-based approach together with a low-complexity resource-efficiency based heuristic to address the problem. We consider realistic settings, where centralized solutions may not apply and an optimal mechanism needs to adapt as system operates. A distributed algorithm based on the Lagrangian-dual based decomposition theory is proposed, and we prove all sub-problems derived can be efficiently solved. In line with the current VM technology, we develop a cost-aware online algorithm that explicitly incorporates the cost of service switches into service selection and resource allocation. We evaluate our mechanism through both synthetic and trace-driven simulations, and results indicate they are effective as compared to representative baseline algorithms.
On Synonyms Search Model

The problem of finding the most relevant documents as a result of an extended and refined query is considered. To solve it, a search model and a text preprocessing mechanism are proposed. It is proposed to use a search engine and a model based on an index using word2vec algorithms to generate an extended query with synonyms. To refine the search results, the idea of selecting similar documents in the digital semantic library is used. The paper investigates the construction of a vector representation of documents in relation to the data array of the digital semantic library LibMeta. Each piece of text is labeled. Both the whole document and its separate parts can be marked. Search through the library content, search for new terms and new semantic relationships between terms of the subject area becomes more meaningful and accurate. The task of enriching user queries with synonyms was solved. When building a search model in conjunction with word2vec algorithms, a "indexing first, then learning" approach is used, which allows obtaining more accurate search results. This work can be considered one of the first stages in the formation of a training data array for the subject area of problems of mathematical physics and the formation of a dictionary of synonyms for this subject area. The model was trained on the basis of the library's mathematical content. Examples of training, extended query and search quality assessment using training and synonyms are given.
An Analysis of Respiration with the Smart Sensor SENSIRIB in Patients Undergoing Thoracic Surgery

The paper examines the problem of respiration monitoring with easily wearable instrumentation by using a smart device that is properly designed and implemented with small and light components. The practical implementation is presented both in practical aspects and from experimental results by following a properly defined method with a medical-like protocol and specific procedure of testing. The results of a statistically significant campaign of experimental tests are reported with the characteristic data from the angles and acceleration components of a sensed rib both to validate the smart device and the procedure for respiration monitoring.
Analysis of Fluid-Structure Coupling Characteristics in Fan/compressor Rotor

With the development of the modern turbomachinery design technology,the effects of fluid-structure coupling on aerodynamic performance and structural dynamic characteristics can no longer be ignored.In this paper,the structural dynamic characteristics and aerodynamic performance are numerically simulated and studied by using the computational fluid dynamics and computational structural dynamics methods.The aerodynamic data and deformation displacement data are transferred between CFD and CSD by 3D linear interpolation and constant volume tetrahedron transformation respectively.Through comparing the aerodynamic force contour with displacement contour level on aerodynamic grids and structural grids,the data transfer approach is verified.Then,the fluid-structure coupling characteristics in a rotor are analyzed.The results show that,the stress,deformation displacement and vibration frequency are changed slightly under the action of aerodynamic force;but the mass flow ratio and total pressure ratio increase,and adiabatic efficiency decrease when the rotor blades are distorted.Moreover,as the rotate speed decrease,the coupling effect on mass flow ratio and total pressure ratio is reduced,but adiabatic efficiency decreases remarkably.
Bridging troubled water ‐ exploring improvement and patients' experiences using patient‐reported outcome measures in physiotherapy: A mixed‐method study

Increased use of patient‐reported outcomes in health care has been emphasized. Our aim was to use the Patient‐Specific Functional Scale (PSFS) to examine improvement in neck pain patients' activity limitations during physiotherapy treatment, with the purpose to explore the patients' experiences of using PSFS. The study illuminates whether and how PSFS can be useful in clinical physiotherapy.
Underlying mechanisms of disruptive mood dysregulation disorder in children: A systematic review by means of research domain criteria

Abstract Background A systematic overview of underlying mechanisms in the new disruptive mood dysregulation disorder (DMDD) diagnosis is needed. The Research Domain Criteria (RDoC) represent a system of six domains of human functioning, which aims to structure the understanding of the nature of mental illnesses. By means of the RDoC framework, the objective of this systematic review is to synthesize available data on children and youths <18 years suffering from DMDD as reported in peer reviewed papers. Methods A literature search guided by PRISMA was conducted using Medline, PsychInfo, and Embase, while the RDoC domains were employed to systematize research findings. Risk of bias in the included studies was examined. Results We identified 319 studies. After study selection, we included 29 studies. Twenty‐one of these had findings relating to >1 RDoC domain. The risk of bias assessment shows limitations in the research foundation of current knowledge on mechanisms of DMDD. Discussion Reviewing self‐report, behavior and neurocircuit findings by means of RDoC domains, we suggest that DMDD youths have a negative interpretation bias in social processes and valence systems. In occurrence of a negative stimuli interpretation, aberrant cognitive processing may arise. However, current knowledge of DMDD is influenced by lack of sample diversity and open science practices. Conclusion We found the six RDoC domains useful in structuring current evidence of the underlying mechanisms of DMDD. Important opportunities for future studies in this field of research are suggested. In clinical practice, this comprehensive summary on DMDD mechanisms can be used in psychoeducation and treatment plans.
Land evaluation for land use planning in Sambhunath municipality of Saptari district, Nepal

Dynamics of land use are closely related with society, development activities and environment. For the sustainable management of land resource of an area, land use may act as one of the elements of conflicts which could be resolved through land use planning ensuring equitable access and right of land to the owners. The present paper attempts to assess the land use for land use planning and infrastructure development through land evaluation including risk factors. Sambhunath municipality located within Saptari district of Nepal has been used as the study area to test the issues raised. Both qualitative and quantitative methods are used for data generation and analysis. Land use changes have been analyzed for the period 1986 to 2017. Potential land use zones have been identified through land suitability analysis using MCE-AHP and in relation to the risk factors such as flood, soil erosion, landslide, and fire. The infrastructure development plan has been allocated based on land use suitability index maps and planning guidelines. Land use projection have been made through Cellular Automata technique, and land use plans have been developed based on projected land use and optimized through SWOT analysis. Implementation strategy is developed based on legal framework to implement land use plan at local level. The land use change patterns are characterized by the increase of agriculture and built-up area and the decrease in areas under forest cover and water body simultaneously. Altogether 27 different criteria are identified and applied in land use suitability evaluation. Risk prone area is found mostly surrounding to the foot of Chure hill and along Khando river. Almost 46% of the total areas have been planned for future agriculture land use followed by residential, commercial, industrial and public uses which are 201 ha, 26 ha, 3ha, and 345 ha respectively. An implementation strategy has been devised to empower and enforcement for compliance of land use zone together with guidelines for outlined development activities.
Characterization of the pVHL Interactome in Human Testis Using High-Throughput Library Screening

Simple Summary The von Hippel–Lindau (pVHL) tumor suppressor is a protein that regulates the normal cell adaptation to low oxygen concentrations. When its function is altered by inherited or acquired mutation pVHL becomes causative of a familiar predisposition to develop different types of cancers. Besides this role, pVHL is also thought to have other relevant cell functions, and studies in mice demonstrated that this protein is crucial for correct testis development and sperm maturation. By scanning the testis-specific library, we identified 55 novel proteins that interact with the human pVHL, with many of them directly participating in metabolic pathways frequently altered in cancer. Furthermore, our results suggest that pVHL may be also important for correct gonad function in men. Abstract Functional impairment of the von Hippel–Lindau tumor suppressor (pVHL) is causative of a familiar increased risk of developing cancer. As an E3 substrate recognition particle, pVHL marks the hypoxia inducible factor 1α (HIF-1α) for degradation in normoxic conditions, thus acting as a key regulator of both acute and chronic cell adaptation to hypoxia. The male mice model carrying VHL gene conditional knockout presents significant abnormalities in testis development paired with defects in spermatogenesis and infertility, indicating that pVHL exerts testis-specific roles. Here we aimed to explore whether pVHL could have a similar role in humans by performing a testis-tissue library screening complemented with in-depth bioinformatics analysis. We identified 55 novel pVHL binding proteins directly involved in spermatogenesis, cell differentiation and reproductive metabolism. In addition, computational investigation of these new interactors identified multiple pVHL-specific binding motifs and demonstrated that somatic mutations described in human cancers reside in these binding regions. Collectively, these findings suggest that, in addition to its role in cancer formation, pVHL may also be pivotal in normal gonadal development in humans.
The Explanationist and the Modalist

Recent epistemology has witnessed a substantial opposition between two competing approaches to capturing the notion of non-accidentality in the analysis of knowledge: the explanationist and the modalist. According to the latest advocates of the former (e.g., Bogardus and Perrin 2020), S knows that p if and only if S believes that p because p is true. According to champions of the latter (e.g., safety and sensitivity theorists), S knows that p if and only if S's belief that p is true in a relevant set of possible worlds. Because Bogardus and Perrin's explanationism promises to deliver a plausible analysis of knowledge without any need for modal notions, it is an elegant proposal with prima facie appeal. However, such version of explanationism ultimately does not live up to its promises: in this paper, I raise some objections to their explanationist analysis of knowledge while showing that modalism is in much better shape than they think. In particular, I argue that their explanationist condition generates the wrong results in Gettier cases and fake-barn cases. I also offer and defend a novel version of modalism: I introduce a refined safety condition which is shown to successfully handle the same Gettier cases that beset Bogardus and Perrin's version of explanationism. The paper concludes with a reassessment of the explanationist's initial ambition to provide an analysis of knowledge without modal notions. The upshot will be that even if the prospects for such analysis remain dim, our money should be on the modalist, not the explanationist.
Role Of Computational Simulations In The Design Of Piston Rings

Abstract The paper presents computational approaches using modern strategies for a dynamic piston ring solution as a fluid structural problem. Computational model outputs can be used to understand design parameter influences on defined results of a primarily integral character. Piston ring dynamics incorporates mixed lubrication conditions, the influence of surface roughness on oil film lubrication, the influence of ring movement on gas dynamics, oil film formulation on a cylinder liner and other significant influences. The solution results are presented for several parameters of SI engine piston rings.
Productization and product structure enabling BIM implementation in construction

PurposeThis study aims to facilitate consistency of information in building information modelling (BIM) and address the current BIM gaps through the perspectives of the productization concept and product structure (PS). Design/methodology/approachThe study follows a conceptual research approach in conjunction with a single case study. First, the previous studies on BIM implementation, productization and PS are reviewed. Further, a case study is used to analyse the current state of productization in the construction sector and develop a functional PS for construction.FindingsA Part-Phase-Elements Matrix is proposed as a construction-specific PS to facilitate consistency in information and to enhance BIM. The proposed matrix provides new avenues to facilitate consistent information exchange through the interconnection between conceptual PS and standard building objects library, and encourage collaborative communication between stakeholders.Originality/valueThis study explores the core of the productization concept and PS as means to facilitate consistency of information and thus address the current gaps in BIM. This as building projects progressively move towards systematic modular and prefabricated construction where the flow of reliable information about product and construction offerings becomes increasingly important.