bluuebunny/crossref_metadata_2025 huggingface dataset:
Experiences of parents and prospective parents when receiving a diagnosis of Down syndrome for their child in the perinatal period: a qualitative systematic review protocol
Authors: Robinette Bethany , Palokas Michelle , Christian Robin , Hinton Elizabeth
Published: September 2022

Objective:

The objective of this review is to synthesize qualitative evidence regarding the experiences of parents and prospective parents when receiving a diagnosis of Down syndrome for their child in the perinatal period.

Introduction:

Increased awareness of parental experiences when receiving a Down syndrome diagnosis for their child may help health care professionals provide the parental support needed to promote the best possible outcomes for these children.

Inclusion criteria:

The participants for this review are the parents and prospective parents of a child with Down syndrome. The phenomenon of interest is parents’ and prospective parents’ experiences when receiving the diagnosis of Down syndrome for their child in the perinatal period. Experiences of prospective parents, parents whose children are living or deceased, and those who terminated a pregnancy because of the diagnosis will be included.

Methods:

This review will follow JBI methodology for qualitative reviews. The databases to be searched include Academic Search Premier, AccessPediatrics, Health Source: Nursing/Academic Edition, MEDLINE, CINAHL, Scopus, PsycINFO, and Web of Science. Sources of unpublished studies and gray literature will include ProQuest Dissertations and Theses Sciences and Engineering Collection, MedNar, National Association for Down Syndrome, Down Syndrome International, and WorldWideScience. Studies will be critically appraised by 2 independent reviewers. All studies, regardless of methodological quality, will be included. Data will be extracted by 2 independent reviewers. Findings will be pooled using the meta-aggregation approach. Where textual pooling is not possible, the findings will be presented narratively. The final synthesized findings will be graded according to the ConQual approach.

Systematic review registration number:

PROSPERO CRD42021250813
Interventions to improve patient experience in mammography: a scoping review protocol
Authors: Ding Sandrine , Fontaine Tamara , Serex Magali , Reis Cláudia Sá dos
Published: September 2022

Objective:

The objective of this review is to map the global evidence on interventions aiming to enhance the patient experience during mammography examination.

Introduction:

Mammography is the examination of choice to detect breast cancer, which is the most common malignant condition among women globally. However, this examination can cause psychological distress, discomfort, and pain for patients. To limit these negative experiences, and to promote patient engagement in diagnostic and screening examinations, some interventions have been tested in clinical practice. Each intervention has key differing features that need to be explored in a scoping review. This mapping will help inform mammography professionals and researchers.

Inclusion criteria:

This review will consider studies that focus on women, men, transgender, nonbinary, or intersexual persons undergoing diagnostic or screening mammography. It will consider studies evaluating interventions and reporting data on the patient experience. These interventions may, for instance, be related to the information provided, breast compression, relaxation, medication, or physical environment. The review will also describe the outcomes related to patient experience (eg, anxiety, pain, discomfort).

Methods:

The search strategy will aim to find published and unpublished studies and will be conducted in MEDLINE, Embase, CINAHL, PsycINFO, Cochrane Central Register of Controlled Trials, Web of Science, and ProQuest Dissertation and Theses. Furthermore, three registries will be searched for ongoing studies. This review will be conducted following JBI methodology, utilizing the three-step search strategy with two independent reviewers performing study selection and data extraction. The results, frequencies, and conceptual categories will be presented in a tabular and narrative summary.

Scoping review registration:

Open Science Framework (https://osf.io/fn865/)
Safety and effectiveness of regional anesthesia compared with anesthetic techniques not using regional anesthesia on outcomes after free tissue flap surgery: a systematic review protocol
Authors: Smith Avery , Weigand Jean , Greenwood Jennifer , Tierney Kristine
Published: September 2022

Objective:

This systematic review will aim to evaluate the evidence on the effectiveness of regional anesthesia, when compared with general anesthesia alone, on the outcomes of free flap surgeries.

Introduction:

Free flap procedures involve complete separation of a flap of tissue from its native vascular bed, followed by reimplantation to a recipient site on the body. Optimal perfusion and successful neovascularization are crucial to survival of the grafted flap. Currently, no best-practice recommendations exist regarding the use of regional anesthesia in free flap surgeries. Regional anesthesia techniques have the potential to alter blood flow and neuroendocrine responses to surgical stress, which may impact perfusion and survival of free flap grafts. This potential for augmentation or hindrance of flap perfusion may have a significant impact on patient outcomes, thus meriting systematic review.

Inclusion criteria:

The review will include both experimental and observational (analytical only) study designs that examine the vascular outcomes of regional anesthesia compared with general anesthesia alone in free flap surgery.

Methods:

The databases to be searched include PubMed, CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science Core Collection, Embase, and gray literature sources. Identified studies will be independently assessed by two reviewers utilizing JBI critical appraisal tools. Data will be extracted using a standardized data matrix. Certainty of findings will be conducted using the Grading of Recommendations Assessment, Development and Evaluation approach. Narrative synthesis will be compiled and meta-analysis completed, where possible.

Systematic review registration number:

PROSPERO CRD42021283584
Evaluation of binomial distribution estimates of confidence intervals of speech-recognition test scores
Authors: Margolis Robert H. , Wilson Richard H.
Published: September 2022

Speech-recognition tests are a routine component of the clinical hearing evaluation. The most common type of test uses recorded monosyllabic words presented in quiet. The interpretation of test scores relies on an understanding of the variance of repeated tests. Confidence intervals are useful for determining if two scores are significantly different or if the difference is due to the variability of test scores. Because the response to each test item is binary, either correct or incorrect, the binomial distribution has been used to estimate confidence intervals. This method requires that test scores be independent. If the scores are not independent, the binomial distribution will not accurately estimate the variance of repeated scores. A previously published dataset with repeated scores from normal-hearing and hearing-impaired listeners was used to derive confidence intervals from actual test scores in contrast to the predicted confidence intervals in earlier reports. This analysis indicates that confidence intervals predicted by the binomial distribution substantially overestimate the variance of repeated scores resulting in erroneously broad confidence intervals. High correlations were found for repeated scores, indicating that scores are not independent. The interdependence of repeated scores invalidates confidence intervals predicted by the binomial distribution. Confidence intervals and confidence levels for repeated measures were determined empirically from measured test scores to assist in interpreting differences between repeat scores.
c-di-AMP signaling is required for bile salt resistance, osmotolerance, and long-term host colonization by
Clostridioides difficile
Authors: Oberkampf Marine , Hamiot Audrey , Altamirano-Silva Pamela , Bellés-Sancho Paula , Tremblay Yannick D. N. , DiBenedetto Nicholas , Seifert Roland , Soutourina Olga , Bry Lynn , Dupuy Bruno , Peltier Johann
Published: September 2022

To colonize the host and cause disease, the human enteropathogen
Clostridioides difficile
must sense, respond, and adapt to the harsh environment of the gastrointestinal tract. We showed that the production and degradation of cyclic diadenosine monophosphate (c-di-AMP) were necessary during different phases of
C. difficile
growth, environmental adaptation, and infection. The production of this nucleotide second messenger was essential for growth because it controlled the uptake of potassium and also contributed to biofilm formation and cell wall homeostasis, whereas its degradation was required for osmotolerance and resistance to detergents and bile salts. The c-di-AMP binding transcription factor BusR repressed the expression of genes encoding the compatible solute transporter BusAA-AB. Compared with the parental strain, a mutant lacking BusR was more resistant to hyperosmotic and bile salt stresses, whereas a mutant lacking BusAA was more susceptible. A short exposure of
C. difficile
cells to bile salts decreased intracellular c-di-AMP concentrations, suggesting that changes in membrane properties induce alterations in the intracellular c-di-AMP concentration. A
C. difficile
strain that could not degrade c-di-AMP failed to persist in a mouse gut colonization model as long as the wild-type strain did. Thus, the production and degradation of c-di-AMP in
C. difficile
have pleiotropic effects, including the control of osmolyte uptake to confer osmotolerance and bile salt resistance, and its degradation is important for host colonization.
Comparison of human amniotic membrane decellularisation approaches for hESC-derived RPE cells culture
Authors: Daniele Elena , Ferrari Barbara , Rassu Nicolò , Ben-Nun Joshua , Bosio Lorenzo , Barbaro Vanessa , Ferrari Stefano , Ponzin Diego
Published: September 2022

Objective

Recent clinical studies have shown that the transplantation of functional retinal pigment epithelium (RPE) cells can prevent the onset of RPE degeneration in age-related macular degeneration. This study aimed to investigate the potential of human amniotic membrane (hAM) as a viable scaffold for the growth and proliferation of pluripotent-derived RPE cells.

Methods and analysis

Three enzymatic hAM de-epithelialisation methods (thermolysin, trypsin-EDTA and dispase II) were assessed by histological analysis and optical coherence tomography (OCT). We generated RPE cells from a human embryonic stem cell (hESC) line subjected to spontaneous differentiation in feeder-free conditions. The hESC-derived RPE cells were seeded over denuded hAM at a density of 2.0×105cells/cm2and maintained in culture for up to 4 weeks. Immnofluorescence was carried out to evaluate the development of a confluent monolayer of RPE cells on the top of the hAM. Conditioned medium was collected to measure pigment epithelium-derived factor (PEDF) concentration by ELISA.

Results

Laminin α5 and collagen IV staining confirmed the efficiency of the de-epithelialisation process. In particular, thermolysin showed good retention of tissue integrity on OCT images and greater preservation of the hAM basement membrane. The hESC-derived RPE cells formed patches of pigmented cells interspersed along the denuded hAM, but failed to form a regular sheet of RPE cells. These cells expressed typical RPE markers, such as PMEL17 and RPE65, but they secreted low levels of PEDF.

Conclusion

The biological variability of the hAM could influence the adhesion and the expansion of hESC-derived RPE cells. Further studies are required to verify whether a non-confluent monolayer might represent a limit to transplantation.
Risk factors and outcomes with surgical bioprosthetic mitral valve dysfunction
Authors: Gwak Seo-Yeon , Ko Kyu-Yong , Cho Iksung , Hong Geu-Ru , Ha Jong-Won , Shim Chi Young
Published: September 2022

Background

There are insufficient data regarding the risk factors associated with valve dysfunction of bioprosthetic valves in the mitral position This study aimed to investigate the factors associated with bioprosthetic mitral valve (MV) dysfunction (MVD).

Methods

A total of 245 patients (age 67.2±11.2 years, 74.9% women) who were followed up for more than 5 years after surgical bioprosthetic MV replacement were analysed in the setting of retrospective study design. MVD was defined as an increased mean gradient of >5 mm Hg with limited leaflet motion and/or newly developed MV regurgitation of at least moderate severity on follow-up echocardiography. The clinical outcome was defined as a composite of cardiovascular mortality, redo MV surgery or intervention and heart failure-related hospitalisations.

Results

During a median of 96.0 months (IQR 67.0–125.0 months), bioprosthetic MVD occurred in 66 (27.6%) patients. Factors associated with bioprosthetic MVD detected by multivariate regression analysis were age at surgery (HR 0.98, 95% CI 0.96 to 0.99, p<0.001), chronic kidney disease (HR 3.27, 95% CI 1.74 to 6.12, p<0.001), elevated mean diastolic pressure gradient >5.5 mm Hg across the bioprosthetic MV early after operation (HR 2.02, 95% CI 1.08 to 3.78, p=0.028) and average haemoglobin level after surgery (HR 0.80, 95% CI 0.67 to 0.96, p=0.015). Patients with bioprosthetic MVD showed significantly poorer clinical outcomes than those without bioprosthetic MVD (log-rank p<0.001).

Conclusions

Young age at operation, chronic kidney disease, elevated pressure gradient across the bioprosthetic MV early after surgery and postsurgical anaemia are associated with bioprosthetic MVD. Bioprosthetic MVD is associated with poor clinical outcomes.
Driving chiral phase transition with ring diagram
Authors: Lo Pok Man , Szymański Michał , Redlich Krzysztof , Sasaki Chihiro
Published: September 2022

We study the dressing of four-quark interaction by the ring diagram, and its feeding back to the quark gap equation, in an effective chiral quark model. Implementing such an in-medium coupling naturally reduces the chiral transition temperature in a class of chiral models, and is capable of generating the inverse magnetic catalysis at finite temperatures. We also demonstrate the important role of confining forces, via the Polyakov loop, in a positive feedback mechanism which reinforces the inverse magnetic catalysis.
The applicability of hydrodynamics in heavy ion collisions at $$\sqrt{s_\mathrm{NN}}$$ = 2.4–7.7 GeV
Authors: Inghirami Gabriele , Elfner Hannah
Published: September 2022

To assess the degree of equilibration of the matter created in heavy-ion reactions at low to intermediate beam energies, a hadronic transport approach (SMASH) is employed. By using a coarse-graining method, we compute the energy momentum tensor of the system at fixed time steps and evaluate the degree of isotropy of the diagonal terms and the relative magnitude of the off-diagonal terms. This study focuses mostly on Au+Au collisions in the energy range $${\sqrt{s}_\mathrm{NN}}$$

s

NN

 = 2.4–7.7 GeV, but central collisions of lighter ions like C+C, Ar+KCl and Ag+Ag are considered as well. We find that the conditions concerning local equilibration for a hydrodynamic description are reasonably satisfied in a large portion of the system for a significant amount of time (several fm/c) when considering the average evolution of many events, yet they are rarely fulfilled on an event by event basis. This is relevant for the application of hybrid approaches at low beam energies as they are or will be reached by the HADES experiment at GSI, the future CBM experiment at FAIR as well as the beam energy scan program at RHIC.
D-meson production in high energy pA collisions within the QCD color dipole transverse momentum representation
Authors: dos Santos G. Sampaio , Machado M. V. T. , Gil da Silveira G.
Published: September 2022

The D-meson production is investigated by considering the unintegrated gluon distribution within the dipole approach in the momentum representation. We analyze the D-meson spectrum accounting for the effects of nonlinear behavior of the QCD dynamics which can be accordingly addressed in the dipole framework. The unintegrated gluon distribution is obtained by using geometric scaling property and the results are compared to the Glauber–Gribov framework. The absolute transverse momentum spectra and the nuclear modification ratios are investigated. Predictions are compared with the experimental measurements by the ALICE and LHCb Collaborations in pA collisions for different rapidity bins.
Leptons lurking in semi-visible jets at the LHC
Authors: Cazzaniga Cesare , de Cosa Annapaola
Published: September 2022

This Letter proposes a new search for confining dark sectors at the Large Hadron Collider. As a result of the strong dynamics in the hidden sector, dark matter could manifest in proton-proton collisions at the Large Hadron Collider in form of hadronic jets containing stable invisible bound states. These semi-visible jets have been studied theoretically and experimentally in the fully hadronic signature where the unstable composite dark matter can only decay promptly back to Standard Model quarks. We present a simplified model based on two messenger fields separated by a large mass gap allowing dark bound states to decay into pairs of oppositely charged leptons. The resulting experimental signature is characterized by non-isolated lepton pairs inside semi-visible jets. We propose a search strategy independent from the underlying model assumptions targeting this new signature, and discuss the orthogonality with respect to the existing searches. Remaining agnostic on the shape of the di-lepton spectrum, we determine the sensitivity of a dedicated analysis to the target signal. The proposed search can claim the $$3 \sigma $$

3
σ

evidence (exclusion) of the heavier mediator up to masses of 3.5 TeV (4.5 TeV) with the full Run 2 data of the LHC. Exploiting the resonant feature of the lepton pairs can enhance the sensitivity reach on a specific model. We estimate that an analysis using the di-lepton invariant mass information can reach $$5 \sigma $$

5
σ

discovery up to masses of 3.5 TeV and improve the exclusion up to more than 5 TeV.
Aerodynamics of a foil undergoing the coexisting of fast and slow pitching
Authors: Meng Qiwen , Chao Liming , Wang Wenxiu , Zhu Zhiying
Published: September 2022

The aerodynamic characteristics of the foil undergoing the coexisting of fast and slow pitching have been studied via Immersed Boundary (IB) method. With an adjustable parameter [Formula: see text], the foil kinematics is defined by making the period corresponding to the positive amplitude faster than that corresponding to the negative amplitude, and vice versa. An opposite scenario is observed at [Formula: see text] and [Formula: see text], where the positive lift is improved via decreasing [Formula: see text] at [Formula: see text] but the negative lift enlarges with increasing [Formula: see text] at [Formula: see text], which is of benefit to generate up-burst and dive of the pitching foil, respectively. The lift generation is investigated with the time history of the lift coefficient and the time-mean streamwise velocity, which renders a physical basis for understanding the behavior of flying animals.
Inspection of hybrid nanoparticles flow across a nonlinear/linear stretching surface when heat sink/source and thermophoresis particle deposition impacts are significant
Authors: Ramesh G. K. , Madhukesh J. K. , Khan Umair , Hussain Syed M. , Galal Ahmed M.
Published: September 2022

The aim of this paper is to highlight the impact of thermophoretic particle deposition (TPD) and heat source/sink on the steady two-dimensional laminar motion of Casson hybrid-type nanoliquid through a nonlinear stretched surface. Ordinary differential equations (ODEs) are created by taking a collection of partial differential equations (PDEs) and simplifying them using an appropriate similarity component. The reduced ODEs are then evaluated using the shooting method and Runge–Kutta–Fehlberg’s fourth and fifth orders. Finally, tables and graphs are used to display the numerical data. It is seen that the fluid velocity step-downs when the porous parametric quantity and solid nanoparticle values increase. Heat distribution is enhanced with an enhancement in the heat source/sink constraint. Concentration goes down with an enhancement in thermophoretic constraint. The use of nanoparticles improves heat dispersion but reduces concentration in the linear case while increasing axial velocity in the nonlinear scenario.
A POLYOSTIC FORM OF FIBROUS DYSPLASIA: CORRECTION OF THE SHORTENED AND DEFORMED RIGHT UPPER LIMB WITH TSF EXTERNAL FIXATOR SYSTEM– CASE REPORT
Authors: Megremis Panos K. , Megremis Orestis P.
Published: September 2022

Fibrous dysplasia (FD) is a congenital skeletal disorder characterized by the replacement of the bone marrow with fibrous tissue. FD may occur in isolation or association with endocrinopathies, and in that case, labeled McCune–Albright syndrome (MAS). FD can cause bone deformities or/and limb length discrepancies. The surgical intervention aims to correct limb deformities and length discrepancies while improving regional aesthetics.

We report a case of a 14-year-old girl with FD that had affected her upper limbs. More characteristic had been the shortening of the right humerus (10 cm discrepancy from the left humerus) and the gun-stock deformity of the elbow. On the X-ray, a prominent feature was the shortening of the humerus and the valgus deformity of its distal end. The lengthening and correction of the deformity of the right humerus had been performed using the Taylor spatial frame (TSF) system. The software program had provided us with the estimated minimum correction time of 143 days for 7 cm humeral lengthening. A total of 157 days had been needed to lengthen and correct the deformity.

The TSF system allows the simultaneous lengthening and correction of all the components of a multiplanar malformation of a limb and minimizes the required time.
Geological characterization and failure analysis of a catastrophic landslide in volcaniclastic soils: the Banjarnegara–Jemblung Landslide (Indonesia)
Authors: Wijaya I P.K. , Straka Wolfgang , Mergili Martin , Ottner Franz , Wriessnig Karin , Arndt Rainier , Andreatta Pia , Arifianti Yukni , Zangerl Christian
Published: September 2022

The Banjarnegara–Jemblung Landslide was triggered on 12 December 2014 near the village of Jemblung in Central Java (Indonesia). The disaster occurred on the northern slope of Gunung Telagalele and caused more than 100 fatalities, making it the most disastrous landslide to have occurred in Indonesia in the past few decades. The event was characterized by multiple slope failures forming two landslide events A and B, with two connected scarps but two separated runout paths. According to eyewitnesses, landslide A was mobilized only a few minutes after the initial failure of B. Initially, both landslides began as earth slides that developed subsequently into very to extremely rapid earth flows. Although the failure volume was moderate, both slide flows reached very high velocities of several metres per second and travelled long distances, leading to remarkably low travel angles of 14° and 15°. Field investigations confirmed that slope failure was exacerbated by its geological predisposition based on a slope-parallel layering of volcaniclastic sediments of different origin and age, as well as intensive tropical weathering that generated clay-rich soils. Temporal relationships, as well as stability analysis, indicate that antecedent rainfall over 2 months and heavy rainfall the day before triggered the slope failure.

Thematic collection:
This article is part of the Leading to Innovative Engineering Geology Practices collection available at:
https://www.lyellcollection.org/topic/collections/leading-to-innovative-engineering-geology-practices
Lock-Free High-performance Hashing for Persistent Memory via PM-aware Holistic Optimization
Authors: Chen Zhangyu , Hua Yu , Ding Luochangqi , Ding Bo , Zuo Pengfei , Liu Xue
Published: September 2022

Persistent memory (PM) provides large-scale non-volatile memory (NVM) with DRAM-comparable performance. The non-volatility and other unique characteristics of PM architecture bring new opportunities and challenges for the efficient storage system design. For example, some recent crash-consistent and write-friendly hashing schemes are proposed to provide fast queries for PM systems. However, existing PM hashing indexes suffer from the concurrency bottleneck due to the blocking resizing and expensive lock-based concurrency control for queries. Moreover, the lack of PM awareness and systematical design further increases the query latency. To address the concurrency bottleneck of lock contention in PM hashing, we propose clevel hashing, a lock-free concurrent level hashing scheme that provides non-blocking resizing via background threads and lock-free search/insertion/update/deletion using atomic primitives to enable high concurrency for PM hashing. By exploiting the PM characteristics, we present a holistic approach to building clevel hashing for high throughput and low tail latency via the PM-aware index/allocator co-design. The proposed
volatile announcement array
with a helping mechanism coordinates lock-free insertions and guarantees a strong consistency model. Our experiments using real-world YCSB workloads on Intel Optane DC PMM show that clevel hashing, respectively, achieves up to 5.7× and 1.6× higher throughput than state-of-the-art P-CLHT and Dash while guaranteeing low tail latency, e.g., 1.9×–7.2× speedup for the p99 latency with the insert-only workload.
Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance
Authors: Mastoras Aristeidis , Anagnostidis Sotiris , Yzelman Albert-Jan N.
Published: September 2022

GraphBLASis a recent standard that allows the expression of graph algorithms in the language of linear algebra and enables automatic code parallelization and optimization. GraphBLAS operations are memory bound and may benefit from data locality optimizations enabled by nonblocking execution. However, nonblocking execution remains under-evaluated. In this article, we present a novel design and implementation that investigates nonblocking execution in GraphBLAS. Lazy evaluation enables runtime optimizations that improve data locality, and dynamic data dependence analysis identifies operations that may reuse data in cache. The nonblocking execution of an arbitrary number of operations results in dynamic parallelism, and the performance of the nonblocking execution depends on two parameters, which are automatically determined, at run-time, based on a proposed analytic model. The evaluation confirms the importance of nonblocking execution for various matrices of three algorithms, by showing up to 4.11× speedup over blocking execution as a result of better cache utilization. The proposed analytic model makes the nonblocking execution reach up to 5.13× speedup over the blocking execution. The fully automatic performance is very close to that obtained by using the best manual configuration for both small and large matrices. Finally, the evaluation includes a comparison with other state-of-the-art frameworks for numerical linear algebra programming that employ parallel execution and similar optimizations to those discussed in this work, and the presented nonblocking execution reaches up to 16.1× speedup over the state of the art.
AppClassNet
Authors: Wang Chao , Finamore Alessandro , Yang Lixuan , Fauvel Kevin , Rossi Dario
Published: September 2022

The recent success of Artificial Intelligence (AI) is rooted into several concomitant factors, namely theoretical progress coupled with abundance of data and computing power. Large companies can take advantage of a deluge of data, typically withhold from the research community due to privacy or business sensitivity concerns, and this is particularly true for networking data. Therefore, the lack of high quality data is often recognized as one of the main factors currently limiting networking research from fully leveraging AI methodologies potential.

Following numerous requests we received from the scientific community, we release AppClassNet, a commercial-grade dataset for benchmarking traffic classification and management methodologies. AppClassNet is significantly larger than the datasets generally available to the academic community in terms of both the number of samples and classes, and reaches scales similar to the popular ImageNet dataset commonly used in computer vision literature. To avoid leaking user- and business-sensitive information, we opportunely anonymized the dataset, while empirically showing that it still represents a relevant benchmark for algorithmic research. In this paper, we describe the public dataset and our anonymization process. We hope that AppClassNet can be instrumental for other researchers to address more complex commercial-grade problems in the broad field of traffic classification and management.
Ethics in Linguistics
Authors: D'Arcy Alexandra , Bender Emily M.
Published: September 2022

In linguistics, ethics has long encompassed matters typically covered under regulatory oversight, but it is increasingly understood as relational and reciprocal, conferring responsibilities and obligations that extend beyond the work produced for other researchers. Those who study language are also coming to interrogate their professional responsibilities not only in how research is done but also in how research is conceived, framed, reported, discussed, and taught, as part of larger discussions around decolonization, intersectionality, and social justice. In this article, we review existing literature on ethics in linguistics, both as it relates to research and as it relates to broader practices, which we then situate within ongoing conversations across subfields. The overarching frame for our discussion is that ethical practice and scientific validity are aligned, and that dismantling dominant discourses and normative practices will serve to advance the work linguists do in meaningful ways.
Contradiction between Supply and Demand of Public Sports Services and Coping Strategies Based on the Genetic Algorithm
Authors: Lu Liu , Wei Wei
Published: September 2022

The current situation of China’s sports public service is not very satisfactory. This research analyzes not only the operation characteristics of the public sports service supply mode but also the connotation mechanism of the public sports service collaborative supply. The article also constructs the mechanism elements and the index system of the public sports service collaborative supply from the perspective of the genetic algorithm. Taking the eastern and central regions as research cases, this paper analyzes the actual situation of the collaborative supply of public sports services, and further explores the gap between urban and rural public sports. It puts forward the ideas and strategic paths for the innovative development of the collaborative supply model of public sports services. This research uses descriptive statistical analysis on the evaluation results of public sports service quality to examine the actual performance value of public sports service quality in various regions and uses the characteristics of different fitness of genetic algorithms to select the optimal supply and demand of public sports services in different regions. By analyzing the characteristics of insufficient supply and demand of public sports services in various regions, an optimal genetic algorithm model is constructed, and then combined with the scope of the study area and the number of people in the area, the genetic algorithm is used to continuously optimize until a set of optimal solutions appears, thus completing the optimal configuration of public sports services. The optimal path for the development of public sports in different regions is obtained, so as to promote the development of regional public sports. The study found that the satisfaction of sports funds in primary and middle schools in the east and middle is not very high, and the satisfaction with sports funds in middle schools is higher than that in primary schools, but only 50% of schools choose that sports funds are basically sufficient. The difference in satisfaction with sports funding in middle schools in the eastern and central regions is not obvious, and the satisfaction with sports funding in primary schools in the eastern region is higher than that in the central region. Judging from the amount of sports expenditures filled in by schools, 2000–3000 yuan per school year for primary schools and 4000–5000 yuan for middle schools are more common. Based on the calculation of 1,000 students in a school, the per capita sports expenditure is less than 10 yuan, which is very limited for sports training. This research will help to change the service concept and scientific decision-making and change the supply mode of sports public services. It will establish not only a vertical, complete, and horizontally smooth organizational structure and coordination mechanism but also a clear strategy for equalization of urban and rural sports public services.
Immunotherapeutic Value of Transcription Factor 19 (TCF19) Associated with Renal Clear Cell Carcinoma: A Comprehensive Analysis of 33 Human Cancer Cases
Authors: Cheng Xiaobao , Hou Jian , Wen Xiangyang , Dong Runan , Lu Zhenquan , Jiang Yi , Wu Guoqing , Yuan Yuan
Published: September 2022

Background. We aimed to study the relationship between transcription factor 19 (TCF19) and cancer immunotherapy in the 33 types of human cancers. Methods. The Cancer Genome Atlas database was analyzed to obtain the gene expression data and clinical characteristics for the cases of 33 types of cancers. GSE67501, GSE78220, and IMvigor 210 were included in the immunotherapy cohorts. Relevant data were obtained by analyzing the gene expression database. The prognostic value of TCF19 was determined by analyzing various clinical parameters, such as survival duration, age, the stage of the tumor, and sex of the patients. The single-sample gene set enrichment analysis method was used to determine the activity of TCF19 and the method was also used to assess the differences between the TCF19 transcriptome and protein levels. The correlation between TCF19 and various immune processes and elements such as immunosuppressants, stimulants, and major histocompatibility complexes were analyzed to gain insights into the role of TCF19. The coherent paths associated with the process of TCF19 signal transduction and the influence of TCF19 on immunotherapy biomarkers have also been discussed herein. Finally, three independent immunotherapy methods were used to understand the relationship between TCF19 and immunotherapy response. Results. It was observed that TCF19 was not significantly influenced by the age (5/33), sex (3/33), or tumor stage (3/21) of cancer patients. But the results revealed that TCF19 exhibited a potential prognostic value and could predict the survival rate of the patients. In some cases of this study, the activity and expression of TCF19 were taken at the same level (7/33). Conclusion. TCF19 is strongly related to immune cell infiltration, immunomodulators, and immunotherapy markers. Our study demonstrated that high expression levels of TCF19 are strongly linked with the immune-related pathways. Nevertheless, it is noteworthy that TCF19 is not significantly associated with immunotherapy response.
Computational Intelligence Powered Experimental Test on Energy Consumption Characteristics of Cold-Water Phase-Change Energy Heat Pump System
Authors: Wu Ronghua , Yu Hao , Xu Ying
Published: September 2022

In order to study the influence on the effective energy efficiency ratio, the energy consumption characteristics of a cold-water phase change heat pump system are discussed in this article. An experimental system of the cold-water phase-change energy heat pump system is designed and constructed, and then the deicing energy consumption and unit energy consumption of the heat pump system are analyzed by computational intelligence-powered methods. At last, the primary energy utilization ratio of the heat pump system is calculated. The results show that under the setting conditions, the deicing capacity of the heat pump system is about 0.135, the primary energy utilization ratio is about 1.145, and the COP (coefficient of performance) of the heat pump unit is between 2.8 and 3.2. Considering the system’s deicing energy consumption, the effective COP of the unit is between 2.42 and 2.76, so from this point, this kind of heat pump system can be widely used in the future. In order to improve the effective COP of the unit, the processes of ice making and melting should be further optimized to reduce heat loss and power loss.
Use of Anionic Surfactant-Modified Activated Carbon for Efficient Adsorptive Removal of Crystal Violet Dye
Authors: Goswami Rumi , Dey Amit Kumar
Published: September 2022

Studies have been carried out to investigate the removal of crystal violet (CV) cationic dye by using rice husk which was used as a raw material to prepare activated carbon (AC) and it was treated with anionic surfactant. In this process, AC was treated with three different anionic surfactants, namely, lauryl sulfate ACMAS, ACSDS, and ACHTAB. Characterization and analysis of optimum ACMAS were done using different techniques which were used which proves the adsorption of the dye by ACMAS. Effects of various physical parameters like time of contact, additive salts, initial dye concentration, effect of pH, and effect of adsorbent dose were studied. Minute changes in the dye removal capacity were observed due to the presence of various cations. Cations like NO2- caused an increase in the capacity of adsorption but cations like Fe2+decreased the capacity of adsorption in the sample solution. The effectiveness of film diffusion and intraparticle has been shown by mass transfer parameters. The various kinetic studies have shown that pseudo second-order kinetic study best suited with the experimental data. Error analysis and studies of isotherms have shown that the adsorption equilibrium was controlled by Langmuir isotherm study with maximum CV dye adsorption capacity of 235.7 mg/g. Thermodynamics studies revealed endothermicity of the process with negative [Formula: see text] values and positive [Formula: see text] and [Formula: see text] values. Activation energy of 48.31 kJ/mol suggested chemisorption process of the system. Column studies were carried out by using different models to study the variation of bed depth, dye concentration, flow rate, etc. Regeneration experiments have given the ability of the adsorbent to be reused. In this present study, it has been noticed that the use of anionic surfactant-treated activated carbon significantly improved the adsorption of dye and this is a process of adsorption in which not much attention has been given for research till date.
Progress of Muscle Chain Theory in Shoulder Pain Rehabilitation: Potential Ideas for Pulmonary Rehabilitation
Authors: Lv Shi , Wang Qian , Ni Qingbin , Qi Chunhua , Ma Yihong , Li Simin , Xu Yuzhen
Published: September 2022

Pulmonary dysfunction is very common in stroke patients. A study has shown that acute stroke patients often cause a series of pulmonary dysfunction due to primary damage to the respiratory center, which is an important reason for hindering disease treatment and recovery. American Thoracic Society (ATS) and the European Respiratory Society (ERS) pointed out that pulmonary rehabilitation (PR) can be applied to the rehabilitation of stroke patients to improve their lung function. PR can improve the respiratory muscle strength of stroke patients, which is beneficial to improving the respiratory function of patients. At the same time, it can also significantly increase the maximum oxygen intake of patients, effectively improve the cardiopulmonary function of stroke patients, and reduce respiratory complications such as aspiration pneumonia. However, the common dysfunction of joints and muscles such as shoulder pain after stroke will affect the process of pulmonary rehabilitation. This is mainly because the changes in the position of the shoulder girdle, the decrease in the range of motion of the cervical and thoracic spine, and the changes in the cervical spondylolisthesis position caused by the elevation of the upper limbs will directly affect the breathing movement during the pulmonary rehabilitation process. The instability of the spine will weaken the deep abdominal muscles and reduce the function of the diaphragm; moreover, changes in the alignment and stability of the cervical and thoracic spine will also lead to wrong breathing methods. Therefore, it is of practical clinical significance to evaluate the functional rehabilitation of shoulder joint muscles and evaluate the efficacy of stroke patients to improve their respiratory function. This article through an extensive review of domestic and foreign literature in recent years, combined with clinical practice experience, summarizes the practical application of chain structure theory in the fields of rehabilitation training, postural adjustment, pain relief, etc., and further studies the functional exercise method based on muscle chain theory. The research on the muscle chain of shoulder pain rehabilitation as a model illustrates the positive effect of reconstructing neuroarticular muscle function on the respiratory system, hoping to provide new ideas for the treatment of respiratory diseases in stroke patients.
Audio Watermarking Algorithm with a Synchronization Mechanism Based on Spectrum Distribution
Authors: Wu Qiuling , Ding Runyu , Wei Jiangchun
Published: September 2022

In order to solve the problem that it is difficult to extract the watermark when the carried audio is subjected to malicious attacks, audio watermarking algorithm based on spectrum distribution is proposed. An eigenvalue is designed to represent the spectrum distribution of the specified frequency-band, and then the binary watermark is embedded by adjusting the difference of the eigenvalues between two adjacent frequency-bands. The polarity of embedding depth is determined by comparing the values of the eigenvalues, which will minimize the modification about the audio so as to improve transparency. The binary watermark can be extracted blindly by judging the difference of the eigenvalues. The improved synchronization mechanism takes the small frame with the largest energy in the voiced frame as the synchronization mark to search the embedding and extracting location of the watermark, which makes the algorithm have strong robustness. Experimental results show that the proposed algorithm has large payload capacity, good transparency, low complexity, and strong robustness against most attacks.
MMP1 Overexpression Promotes Cancer Progression and Associates with Poor Outcome in Head and Neck Carcinoma
Authors: Zhang Wei , Huang Xinghong , Huang Rong , Zhu Hong , Ye Pu , Lin Xuyang , Zhang Shuangyue , Wu Meng , Jiang Feng
Published: September 2022

Matrix metalloproteinase-1 (MMP1) has been reported to play key roles in a variety of cancers by degrading the extracellular matrix. However, its carcinogenic roles have not been shown yet in head and neck squamous cell carcinoma (HNSCC). This study aimed to elucidate its expression pattern and functional roles as well as clinical significance in HNSCC. The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and immunohistochemistry (IHC) were utilized to determine the MMP1 expression pattern and the associations between its expression and patients’ outcome in HNSCC. Mice tongue squamous cell carcinoma model induced by 4-nitroquinoline 1-oxide (4NQO) and siRNA-mediated cellular assay in vitro were utilized to evaluate the oncogenic role of MMP1. The biological functions and cancer-related pathways involved in MMP1-related genes were found through bioinformatics analysis. Both mRNA and protein abundance of MMP1 were highly increased in HNSCC as compared to its non-tumor counterparts. MMP1 overexpression positively correlated with advanced tumor size, cervical node metastasis, and advanced pathological grade and lower patients’ survival. In the 4NQO-induced animal model, MMP1 expression increased along with the progression of the disease. In HNSCC cells, siRNA-mediated knockdown of MMP1 significantly inhibited cell proliferation, migration, and invasion and activated apoptosis and epithelia-mesenchymal transition (EMT). GSEA, GO, and KEGG analyses showed that MMP1 expression was significantly related to cancer-related pathways and cancer-related functions. Together, our results demonstrated MMP1 serves as a novel prognostic biomarker and putative oncogene in HNSCC.
Actuarial Measures, Regression, and Applications of Exponentiated Fréchet Loss Distribution
Authors: Abubakari Abdul Ghaniyyu
Published: September 2022

In this study, a new loss distribution, called the exponentiated Fréchet loss distribution is developed and studied. The plots of the density function of the distribution show that the distribution can exhibit different shapes including right skewed and decreasing shapes, and various degrees of kurtosis. Several properties of the distribution are obtained including moments, mean excess function, limited expected value function, value at risk, tail value at risk, and tail variance. The estimators of the parameters of the distribution are obtained via maximum likelihood, maximum product spacing, ordinary least squares, and weighted least squares methods. The performances of the various estimators are investigated using simulation studies. The results show that the estimators are consistent. The new distribution is extended into a regression model. The usefulness and applicability of the new distribution and its regression model are demonstrated using actuarial data sets. The results show that the new loss distribution can be used as an alternative to modelling actuarial data.
Electroacupuncture Stimulation Suppresses Postoperative Inflammatory Response and Hippocampal Neuronal Injury
Authors: Wang Xiang-feng , Lin Qin , Wang Guan-hui , Zhan Gen-ming , Liu Wei , Lin Zhi-wei
Published: September 2022

Postoperative cognitive dysfunction (POCD) is consequence of anesthesia and surgery that primarily affects older people. The prevention and treatment of POCD has drawn an increasing attention in recent decades. Here, we established the animal model mimicked POCD after femoral fracture surgery, and analyze the effect of acupuncture stimulation on postoperative cognitive function after femoral fracture surgery. Compared with the mock group, the cognitive function performance was significantly decreased both in the anaesthesia group and the surgery group, between which the symptoms were more severe in the surgery group. The peripheral inflammation response and the neuron impairment and inflammation response in the hippocampus were observed in the surgery group, but only peripheral inflammation response was detected in the anaesthesia group. These findings indicated the POCD was the synergistic outcome of anaesthesia and surgical stimulation but with different pathogenic mechanism. The surgery with mental tri-needles (surgery+MTN) group outperformed the surgery group in terms of cognitive function performance. The peripheral inflammation response and the neuron impairment and inflammation response in the hippocampus was significantly reduced by the electroacupuncture stimulation. Our findings indicated the protection of electroacupuncture form POCD after femoral fracture surgery is related to the inhibition of inflammation response and neuron impairment.