bluuebunny/crossref_metadata_2025 huggingface dataset:
Can flaxseed supplementation affect circulating adipokines in adults? An updated systematic review and meta-analysis of randomized controlled trials
Authors: Abbasi Shaghayegh , Karimi Kiana , Hossein Moridpour Amir , Musazadeh Vali , Faghfouri Amir Hossein , Jozi Hannane
Published: September 2023

Introduction

The findings of randomized controlled trials (RCTs) regarding the effect of flaxseed on adipokine concentrations are conflicting. Therefore, the present meta-analysis was conducted to provide definite and conclusive results.

Methods

Systematically, Scopus, Embase, PubMed, Web of Science databases, and Google Scholar were searched for relevant literature published up to December 2022. Based on random-effect models, standard mean differences (SMDs) were calculated for net changes in adipokine concentrations.

Results

Overall, 13 RCTs (15 arms) were eligible to be included. The results indicated that leptin was significantly reduced after the intervention with flaxseed supplement (SMD = −0.69, 95% CI: −1.37, −0.01; p = 0.048; I2 = 92.0%, p < 0.001). In addition, flaxseed supplements had no considerable effect on plasma adiponectin (SMD = 0.52, 95% CI: −0.20, 1.25, p = 0.159; I2 = 92.0%, p < 0.001).

Discussion

Flaxseed significantly improves leptin but does not affect adiponectin concentrations. Additional future well-designed trials are required to further assess the potential benefits of flaxseed on adipokines in humans.
Circadian, hormonal, and sleep rhythms: effects on cancer progression implications for treatment
Authors: Jagielo Annemarie D. , Benedict Catherine , Spiegel David
Published: September 2023

Circadian, hormonal, and sleep rhythm disruptions are commonly experienced concerns among cancer patients throughout the cancer care continuum. This review aims to summarize the existing literature on circadian, hormonal, and sleep rhythms in the oncological population, focusing on circadian disruption and physiological and psychological abnormalities, disease progression, and chronomodulated treatment approaches. The findings demonstrate that subjectively and objectively measured circadian rhythm disruption is associated with adverse mental health and disease outcomes in patients with cancer. Chronomodulated chemotherapy, light therapy, cognitive behavioral therapy for insomnia, and physical activity have shown evidence of effectiveness in improving sleep, and occasionally, disease outcomes.
CCL22 and Leptin associated with steroid resistance in childhood idiopathic nephrotic syndrome
Authors: Zhaoyang Peng , Wei Li , Yanyan Jin , Wenqing Xiang , Haidong Fu , Jianhua Mao
Published: September 2023

Objective

Previous studies have indicated a decrease in T regulatory cells (Tregs) among patients with steroid-resistant nephrotic syndrome. CCL22 and Leptin influenced the immune function of Tregs through their respective pathways. This study aimed to compare patients with steroid-sensitive nephrotic syndrome (SSNS) and steroid-resistant nephrotic syndrome (SRNS) in terms of CCL22 and Leptin levels.

Methods

This prospective study included 117 children diagnosed with idiopathic nephrotic syndrome (INS). Peripheral blood samples were collected before initiating steroid therapy, and serum levels of CCL22 and Leptin were measured. Patients were categorized into three groups based on their response to steroid treatment. Renal biopsies were recommended for all children diagnosed with INS, with higher acceptance rates in glucocorticoid resistance patients.

Results

Based on the response to steroid treatment, 117 children were divided as groups of SSNS (82 cases), frequent relapse nephrotic syndrome (FRNS) (10 cases), and SRNS (25 cases). A total of 41 patients underwent kidney biopsy, 11 cases (13.4%) in SSNS, 7 cases (70.0%) in FRNS and 24 cases (96.0%) in SRNS. 30 cases were minimal change disease (MCD), 9 cases were mesangial proliferative glomerulonephritis (MsPGN) and 3 cases were focal segmental glomerulosclerosis (FSGS). The levels of Leptin were significantly higher in SR patients (1208.1 ± 1044.1 pg/ml) compared to SS patients (515.4 ± 676.9 pg/ml) and controls (507.9 ± 479.8 pg/ml), regardless of the pathological type. CCL22 levels were significantly elevated in SRNS (92.2 ± 157.0 pg/ml), but the difference seemed to be attributed to the specific type of pathology, such as Minimal change disease (MCD) (127.4 ± 206.7 pg/ml) and focal segmental glomerulosclerosis (FSGS) (114.8 ± 22.0 pg/ml). For SRNS prediction, the AUC of Leptin, CCL22, and the joint prediction index were 0.764, 0.640, and 0.806, respectively.

Conclusion

Serum levels of CCL22 and Leptin, detected prior to steroid therapy, were associated with steroid resistance in childhood INS.
Effect of high-starch or high-fibre diets on the energy metabolism and physical performance of horses during an 8-week training period
Authors: Martin Agathe , Lepers Romuald , Vasseur Maximilien , Julliand Samy
Published: September 2023

Large amounts of high-starch concentrates are traditionally fed to horses in training. However, this has been associated with digestive or muscle diseases and behavioural modifications. In parallel, it has been demonstrated that horses fed high-fibre, low-starch diets achieve the same performance over an exercise test as the ones fed high-starch diets. However, whether the same performance level can be maintained over a longer training cycle is still being determined. This study aimed to compare the evolution in physical performance and cardiorespiratory responses of two groups of French Trotters fed either a control high-starch (15.0 g dry matter hay/kg body mass/day + 6.6 g dry matter oats/kg body mass/day) or a high-fibre diet (75% of oats replaced by dehydrated alfalfa) over an 8-week training period. The horses that entered the trial were untrained for ≥4 months and previously fed hay only. Track training with speed monitoring included interval training sessions and 2400 m performance tests from week 1 to week 8 (W8). Before (week 0, W0) and after (week 9, W9) the training period, horses performed an incremental continuous exercise test during which cardiorespiratory parameters were measured. Both groups progressed to the same extent regarding physical performance measured during interval training sessions (acceleration: 0.16 m.s−2 at W0 and 0.40 m.s−2 at W8; p < 0.0001), the 2400 m performance test (average speed: 8.88 m.s−1 at W0 and 10.55 m.s−1 at W8; p < 0.0001), and the incremental continuous exercise test (speed during the fastest stage: 9.57 m.s−1 at W0 and 10.53 m.s−1 at W9; p = 0.030). Although oxygen consumption increased with training (p = 0.071), it was not influenced by the diet. On the contrary, carbon dioxide production increased in the high-starch group only (high-starch group: 84.0 vs. high-fibre group: 77.7 mL.kg−1.min−1 at W9; p = 0.031). The results illustrate that horses in both groups progressed similarly but did not use the same metabolic pathways during exercise. This hypothesis is supported by carbohydrate oxidation, which tended to increase in the high-starch group at W9 but decreased in the high-fibre group (p = 0.061). In conclusion, the substitution of high-starch by high-fibre diets enabled similar performance over an 8-week training period and altered energy metabolism in a way that could be beneficial during high-intensity exercise.
The regulatory ecosystem of data driven campaigning in the UK
Authors: Barclay Andrew , Gibson Rachel , Dommett Katherine
Published: September 2023

Political campaigns are increasingly described as data-driven, as parties collect and analyse large quantities of voter data to target their campaign messages in ever more granular ways, particularly online. These practices have increasingly been facing calls for greater regulation due to the range of harms they are seen to pose for citizens and democracy more generally. Such harms include the intrusions on voter privacy, reduced transparency in how messages are constructed and targeted at voters and exposure to increasingly divisive and polarizing political content. Given that data-driven campaigning (DDC) encompasses a range of different practices that are likely to fall under the remit of multiple agencies, it is not evident how suitable current regulatory frameworks are for addressing the harms associated with the growth of DDC. This paper takes a first step toward addressing that question by mapping an emergent regulatory “ecosystem” for DDC in the particular case of the UK. Specifically, we collect and analyse interview data from a range of regulators working directly or indirectly in the election campaigns and communication arena. Our analysis shows that while privacy violations associated with DDC are seen by regulators to be largely well covered by current legislation, other potential harms are given lesser to no priority. These gaps appear to be due to regulators lacking either the powers or the incentives to intervene.
Drivers for enhancing job performance of prison officers in Slovenia: effects of job attitudes, organizational, and work-related factors
Authors: Podgorski Katrin , Lobnikar Branko , Mihelič Anže , Prislan Mihelič Kaja
Published: September 2023

Maintaining order and safety in a prison environment heavily depends on prison officers, who daily interact with prisoners and are constantly dealing with dangerous situations. Their task performance is vital for the organizational performance and the fulfillment of the prisons’ mission. For managing prison officers’ job performance efficiently, it is important to understand the associated factors; however, job performance in a prison environment remains completely unexplored in Slovenia. This article presents a study conducted among Slovenian prison officers (n = 201), which examined their task performance, its association with job attitudes, and the role of organizational and work-related factors. The study results showed that the prison officers’ task performance is associated with their job satisfaction, but not with their job involvement. Moreover, their job satisfaction is associated with perceived organizational justice, job stress, and the dangerousness of the job. Based on these findings, we demonstrated that task performance depends on several direct and indirect factors that prison management should prioritize, the key ones being stress reduction, strengthening the feeling of organizational justice, and the ability to deal with the job-related dangers successfully. This article highlights organizational and work-related factors important for improving the prison officers’ well-being at work.
Raising bilingual autistic children in the UK: at the intersection between neurological and language diversity
Authors: Digard Bérengère Galadriel , Johnson Ellie , Kašćelan Draško , Davis Rachael
Published: September 2023

Introduction

While research shows no negative effects of bilingualism on autistic children’s development, due to misconceptions around both autism and bilingualism, bilingual parents and educational/clinical practitioners who advise them often express unfounded concerns that exposing autistic children to more than one language will cause confusion and developmental delays. To understand the reasons that drive these misconceptions, this study focuses on: identifying factors that impact family decisions about (not) raising autistic children bilingually; attitudes toward bilingualism expressed by the community, doctors, family members, and teachers; sources of information about bilingualism and autism available to families.

Methods

Through a mixed-method online survey, we explored these questions in 31 UK-based bilingual families with 34 autistic children (age M = 10.6 years; SD = 7.1).

Results

The families reported choosing bilingualism for their autistic child primarily so that the child can communicate with family and community members. Attitudes toward bilingualism in their networks were predominantly positive, with a large portion of individuals not having opinions possibly due to lack of information. Only about 1/3 of parents had access to information on bilingualism and autism, mostly found on the internet.

Discussion

We discuss these findings and offer future directions for research, practice, and battling stigmas around bilingualism and autism.
Toward understanding and enhancing self-determination: a qualitative exploration with autistic adults without co-occurring intellectual disability
Authors: Thompson-Hodgetts Sandy , Ryan Jacalyn , Coombs Emily , Brown Heather M. , Xavier Adrian , Devlin Christina , Lee Austin , Kedmy Adam , Borden Anne
Published: September 2023

Introduction

Self-determination is a fundamental human right positively related to quality of life. However, Autistic people are reported to be less self-determined than non-autistic people. We aimed to (1) understand what self-determination means to Autistic people from their perspective, (2) explore their perceptions of current barriers to being self-determined, and (3) learn from Autistic people about how they would like to be supported to be self-determined.

Methods

Semi-structured interviews were done with 19 Autistic adults without co-occurring intellectual disability. Data were analyzed by three Autistic and two non-autistic researchers through an iterative process of data familiarization, coding, and theme development, informed by reflexive thematic analysis. Autistic Community Partners (ACP) were also engaged throughout the study, and provided substantive feedback on all methods and results.

Results

Self-determination held the same meaning for Autistic people as non-autistic people. More specifically, participants discussed having the opportunity and support to make choices and decisions in life without unnecessary control from others. Experiences of self-determination were centered around: (1) lack of opportunity, influenced by ableist expectations and discrimination, and (2) executive processing differences that interfered with choice and decision-making. Desired areas of support related to providing opportunities to (1) make choices and exert autonomy, (2) be supported to unmask and be valued as one’s authentic Autistic self, and (3) offering pragmatic support for executive processing differences.

Conclusion

Autistic adults desire to be self-determined and can flourish with support, as they determine to be appropriate, which might look different from support commonly offered or sought by non-autistic people. Although individualized support was discussed, the ideal desired support was for an inclusive society that values and respects their neurodivergence, rather than imposing ableist expectations. An inclusive society is only achievable through reduced (or eliminated) stigma and prejudice against Autistic people.
Designing an evidence-based working method for medical work disability prognosis evaluation–an intervention mapping approach
Authors: Snoeck-Krygsman Sylvia P. , Donker-Cools Birgit H. P. M. , Jansen Lyanne P. , Hoving Jan L. , Schaafsma Frederieke G.
Published: September 2023

Purpose

Performing evidence-based work disability prognosis evaluation (WDPE) of clients on sick leave is a difficult task for physicians. The aim was to develop a working method to support physicians in performing evidence-based WDPE and to improve WDPE quality.

Materials and methods

Intervention Mapping (IM) supplemented with elements of the Behavior Change Wheel (BCW) guided project planning for developing the working method. This approach allowed combination with other frameworks and, e.g., behavior change theories. WDPE quality challenges were analyzed on various ecological levels, e.g., the individual (i.e., the physician), interpersonal (i.e., the client) and organizational level, culminating into a multilevel logic model of the problem. Determinants that contributed to this problem, e.g., lack of physicians’ knowledge on performing evidence-based WDPE, were identified. Performance objectives were formulated that could contribute to a desired change in WDPE quality. From the performance objectives and determinants (e.g., knowledge), change objectives were derived. In order to achieve these change objectives, suitable intervention functions (e.g., education) and policy categories (e.g., service provision) were identified, allowing the formulation of intervention components. Behavior change techniques (e.g., feedback on outcomes of a behavior) were selected to serve the intervention functions to deliver the desired change. This led to the conceptualization of an intervention plan.

Results

The intervention “Prognosable” is presented. It consists of a stepwise working method (SWM) for evidence-based WDPE. The SWM offers an overview of important aspects (e.g., medical condition, clients’ confidence in return-to-work) to consider in individual clients’ WDPE. The SWM helps physicians to identify crucial functional limitations, find and appraise evidence-based information, weigh all relevant prognostic aspects and it supports physicians to conclude with an evidence-based WDPE, tailored to the individual client. The intervention “Prognosable” was designed, which also includes an educational program and a supportive software tool to enable implementation of the SWM.

Conclusion

IM combined with BCW elements guided the development of a SWM for evidence-based WDPE. The SWM will be delivered through an educational program for physicians supported by a digital tool. The SWM, educational program and digital tool are ready to be implemented and evaluated in practice as the intervention “Prognosable.”
A new therapeutic approach in Gorham–Stout disease: a case report
Authors: Stawarz Katarzyna , Galazka Adam , Kissin Filip , Zwolinski Jakub
Published: September 2023

Background

Gorham–Stout disease is a rare condition of unknown prevalence and unknown exact cause. Its pathogenesis is based on enhanced osteoclastic activity leading to bone resorption and bone replacement by distended lymphatic vessels. Because of its rarity and a various range of symptoms the disease may give, diagnosis is challenging and a strong index of suspicion is required. Although it is a benign condition, the prognosis may be unpredictable. The treatment options suggested so far are limited, and every case should be provided with the best individual approach. Herein, we present a case report of Gorham–Stout disease managed with a regular lump drainage with a good response and control of the patient symptoms over a period of 20 years.

Case report

A 23-year-old male was admitted to the Head and Neck Cancer Clinic with a 6-month history of a left-sided neck lump. Other symptoms reported were neck pain and general weakness. The basic laboratory tests were within normal limits. On physical examination, a large round lump on the left side of a patient's neck and left armpit were noticed. They were about several centimeters in diameter, soft on palpation, but firmly attached to the underlying tissue. CT scan revealed large lymphatic left-sided masses of the neck and axillary fossa and multiple osteolytic lesions in the patient's vertebrae. Together with the biopsy findings and imaging studies, a diagnosis of Gorham–Stout Syndrome was made. The patient was then scheduled for a regular cystic drainage with good control of a disease for over a period of 20 years.

Conclusion

Gorham–Stout disease is a rare challenging condition, and the available treatment options remain sparse. Although surgical approach is effective, it is not always possible. In addition, the risk of radiotherapy-induced malignancy shows that this therapy may eventually result in unfavorable response. Depending on symptoms and the disease location, this condition requires an individual treatment plan. The presented case illustrates that a minimally invasive approach may result in a good control of the Gorham–Stout syndrome and may stand as an alternative treatment option for some patients with this condition.
Application of Intestinal Barrier Molecules in the Diagnosis of Acute Cellular Rejection After Intestinal Transplantation
Authors: Chen Yun , Tseng Sheng-Hong , Chen Chih-Yen , Tsai Ya-Hui
Published: September 2023

Diagnosing acute rejection after intestinal transplantation currently heavily relies on histopathological analysis of graft biopsies. However, the invasive risks associated with ileoscopic examination and the inaccessibility for biopsy after ileostomy closure hinder real-time detection of rejection responses. Molecules comprising the intestinal barrier have been identified as physiological and molecular biomarkers for various bowel conditions and systemic diseases. To investigate the potential of barrier function-related molecules in diagnosing rejection after intestinal transplantation, plasma samples were collected longitudinally from transplant recipients. The samples were categorized into “indeterminate for rejection (IND)” and “acute rejection (AR)” groups based on clinical diagnoses at each time point. The longitudinal association between plasma levels of these barrier function-related molecules and acute rejection was analyzed using the generalized estimating equations (GEE) method. Logistic GEE models revealed that plasma levels of claudin-3, occludin, sIgA, and zonulin were independent variables correlated with the clinical diagnosis of acute rejection. The subsequent prediction model demonstrated moderate ability in discriminating between IND and AR samples, with a sensitivity of 76.0%, specificity of 89.2%, and accuracy of 84.6%. In conclusion, monitoring plasma levels of claudin-3, occludin, sIgA, and zonulin shows great potential in aiding the diagnosis of acute rejection after intestinal transplantation.
A Word Embedding Model for Fault Localization using Bug and Software Change Repositories
Authors: Rehman Aqib , Sindhu Muddassar Azam , Maqbool Onaiza
Published: September 2023

Software developed and then deployed in a real world environment is inevitable to exhibit some undesirable behavior. Therefore, developers need to provide maintenance facilities to enable the bugs causing the undesirable behavior to be fixed. However, prior to fixing the bug, the suspicious part of the code needs to be identified. For this purpose, they usually perform fault localization. This can be done manually as well as automatically. Several techniques exist in the literature for fault localization. However, most of them are static based techniques because they do not depend on a specific programming language along with the possibility to work on underdeveloped software and some other benefits. These techniques are largely based on lexical matching of terms which leads to mismatch of terms, large precision value because of limited vocabulary of a programming language and some techniques consider the semantics but it is computationally expensive to localize faults through this. In this paper we have proposed a fault localization technique which is based on the machine learning concept of word embedding. Our proposed approach aims at looking at the relatedness between the bug terms and source code artifact. We mined the bug repositories and software change repositories to train the word embedding model on the mined repositories data. On the arrival of a new bug, the cluster of the bugs from the model is searched and the files from the software change repositories are retrieved which are used for fixing those bugs. We have compared the results of our approach with the latest technique proposed in year 2018 Pointwise Mutual Information (PMI) and Normalized Google Distance (NGD) which consider the context and also with existing lexical techniques Vector Space Model (VSM) and the semantic based method Latent Semantic Indexing (LSI). We have used the benchmark dataset “MoreBugs” which has been widely used in this domain. The results show that our approach outperforms other techniques.
Security in the Internet of Things: A Systematic Mapping Study
Authors: Aziz Omer , Akhtar Naveed , Aslam Naeem
Published: September 2023

The extend of clever gadgets has accelerated touchy statistics trade on the Internet the usage of most of the time unsecured channels. Since a large use of RFID (Radio-frequency Identification) tags in the transportation and development industries from 1980 to 1990, with the multiplied use of the Internet with 2G/3G or 4G when you consider that 2000, we are witnessing a new generation of related objects. A massive wide variety of heterogeneous sensors may also accumulate and dispatch touchy facts from an endpoint to a global community on the Internet. Privacy worries in Iot stay essential problems in the research. This paper aims to understand and additionally grant continuing doe’s research topic, challenge, and Future Direction related to Iot security. A systematic mapping finds out about (SMS) is thus utilized on the way to organize the chosen Articles into the following classification: contribution type, Type of Research, Iot Security, and their approach. We take out an overall of twenty-four Articles in support of this systematic discover out about also they categorize the following described criterion. The findings of this SMS are mentioned and the researcher was once given hints on the possible route for future research.
Urdu Sentiment Analysis Using Deep Attention-Based Technique
Authors: Ahmed Naeem , Amin Rashid , Ayub Huma , Iqbal Muhammad Munwar , Saeed Muhammad , Hussain Mudassar
Published: September 2023

Sentiment analysis (SA) is a process that aims to classify text into positive, negative or neutral categories. It has recently gained the research community's attentionbecause of the abundance of opinion data on the internet. Deep learning techniques are widely used for language processing but are seen as black boxes, and their effectiveness comes ininterpretability. The major goal of this article is to create an Urdu SA model that can comprehend review semantics without the need of language resources. Wedesign an attention-based neural network for the review level Urdu SA. For better results, we used atransfer learning approach that uses pre-trained embedding’s. The Visualization of attention weights isalso measuredthat uncovers the black box of the models and confirms their intuition, which aids in the interpretation of the model's learned representations. The proposed model is tested and evaluated in terms of accuracy and F1 score. The proposed model archives 91% accuracy and 88% F1 score,respectively.
Heart Diseases Prediction and Diagnosis using Supervised Learning
Authors: Safat Wajiha , Hussain Ijaz
Published: September 2023

The existing data for clinical diagnosis are often enlarged, but available tools are not efficient enough for decision making. Data mining techniques provide a user-oriented approach for clinical diagnosis and reduce risk factors. To improve clinical diagnosis, particularly for heart diseases, nine different data mining techniques have been applied for classification and clustering. We compare all these techniques for better prediction. Despite all recent research efforts, the literature lacks the application of multiple techniques on multiple data sets for heart disease prediction; which helps in decision making. In particular, this study is the augmentation of techniques for multiple data analysis by comparing four datasets with 14 attributes and a different number of instances. Another challenge is how to increase the accuracy of the decision-making process. Our research findings predict the better accuracy by using SMO and classification via regression for all data sets which shows the significant difference. Consequently, this research further helps to integrate the clinical decision support, thereby reducing medical errors, enhance patient safety, decrease unwanted practice variation, and improve patient recovery.
Salmonella Enteritidis ST11 Prosthetic Valve Endocarditis Complicated by a Paravalvular Abscess: Case Report and Literature Review
Authors: Kitaya Shiori , Katahira Shintaro , Baba Hiroaki , Saiki Yoshikatsu , Katori Yukio , Tokuda Koichi , Kanamori Hajime
Published: September 2023

Salmonella infection typically causes self-limiting gastroenteritis. However, in rare cases, it can lead to prosthetic valve endocarditis (PVE), especially in older adults with a history of valve replacement surgery. In this case study, we describe a case of Salmonella PVE in a man with a prosthetic aortic valve. Complications of PVE include abscess formation, which is associated with increased mortality. If a patient with a history of prosthetic valve replacement presents with symptoms suggestive of gastroenteritis or bacteremia, a thorough investigation should be conducted with suspicion of PVE. The prognosis of Salmonella PVE can be improved by promptly initiating appropriate antibiotics and administering them for an adequate duration, as well as by considering surgical intervention when necessary. Additionally, confirming negative blood cultures after treatment of Salmonella bacteremia is important to prevent the development of PVE and paravalvular abscesses.
The Genetics of Coronary Artery Disease: A Vascular Perspective
Authors: Quaye Leon N. K. , Dalzell Catherine E. , Deloukas Panos , Smith Andrew J. P.
Published: September 2023

Genome-wide association studies (GWAS) have identified a large number of genetic loci for coronary artery disease (CAD), with many located close to genes associated with traditional CAD risk pathways, such as lipid metabolism and inflammation. It is becoming evident with recent CAD GWAS meta-analyses that vascular pathways are also highly enriched and present an opportunity for novel therapeutics. This review examines GWAS-enriched vascular gene loci, the pathways involved and their potential role in CAD pathogenesis. The functionality of variants is explored from expression quantitative trait loci, massively parallel reporter assays and CRISPR-based gene-editing tools. We discuss how this research may lead to novel therapeutic tools to treat cardiovascular disorders.
Software Subclassification Based on BERTopic-BERT-BiLSTM Model
Authors: Bu Wenjuan , Shu Hui , Kang Fei , Hu Qian , Zhao Yuntian
Published: September 2023

With the continuous influx of application software onto the application software market, achieving accurate software recommendations for users in the huge software application market is urgent. To address this issue, each application software market currently provides its own classification tags. However, several problems still exist, such as the lack of objectivity, hierarchy, and standardization in these classifications, which in turn affects the accuracy of precise software recommendations. Accordingly, a customized BERTopic model is proposed to cluster the software description texts of the application software and the automatic tagging and updating of the application software tags are realized according to the clusters obtained by topic clustering and the extracted subject words. At the same time, a data enhancement method based on the c-TF-IDF algorithm is proposed to solve the problem of imbalance of datasets, and then the classification model based on the BERT-BiLSTM model is trained on the labeled datasets to classify the software in the dimension of the application function, so as to realize the accurate software recommendation for users. Based on the experimental verification of two datasets, 21 categories in the SourceForge dataset and 19 categories in the Chinese App Store dataset are subclassed by the clustering results of the customized BERTopic model, and the tags of 138 subclasses and 262 subclasses are formed, respectively. In addition, a complete tagged software description text dataset is constructed and the software tags are updated automatically. In the first stage of the classification experiment, the weighted average accuracy, recall rate, and F1 value can reach 0.92, 0.91, and 0.92, respectively. In the second stage, the weighted average accuracy, recall rate, and F1 value can all reach 0.96. After data enhancement, the weighted average F1 value of the classification model can be increased by up to two percentage points.
Recent Advances in Acoustic Technology in Food Processing
Authors: Zadeike Daiva , Degutyte Rimgaile
Published: September 2023

The development of food industry technologies and increasing the sustainability and effectiveness of processing comprise some of the relevant objectives of EU policy. Furthermore, advances in the development of innovative non-thermal technologies can meet consumers’ demand for high-quality, safe, nutritious, and minimally processed foods. Acoustic technology is characterized as environmentally friendly and is considered an alternative method due to its sustainability and economic efficiency. This technology provides advantages such as the intensification of processes, increasing the efficiency of processes and eliminating inefficient ones, improving product quality, maintaining the product’s texture, organoleptic properties, and nutritional value, and ensuring the microbiological safety of the product. This review summarizes some important applications of acoustic technology in food processing, from monitoring the safety of raw materials and products, intensifying bioprocesses, increasing the effectiveness of the extraction of valuable food components, modifying food polymers’ texture and technological properties, to developing biodegradable biopolymer-based composites and materials for food packaging, along with the advantages and challenges of this technology.
A Review of the Mechanical Properties of 17-4PH Stainless Steel Produced by Bound Powder Extrusion
Authors: Jones Jaidyn , Vafadar Ana , Hashemi Reza
Published: September 2023

17-4PH Stainless Steel is a mechanically high-performing alloy that is widely used across chemical and mechanical processing industries. The alloy is conventionally fabricated by cast methods, but emerging additive manufacturing techniques are presently offering an economic, efficient, and environmentally friendly alternative. Bound Powder Extrusion (BPE) is a relatively new additive manufacturing technique that is used to fabricate three-dimensional, free-form components. Investigation into the mechanical properties and behavior of 17-4PH stainless steel fabricated by BPE is vital to understanding whether this technique proposes a competitive substitute to the cast alloy within industry. Published literature has investigated the as-fabricated mechanical properties, microstructure, porosity, and post-processing heat treatment of the BPE alloy, with limited comparison evident among the papers. This paper, therefore, aims to review published findings on the mechanical properties of 17-4PH stainless steel produced by additive manufacturing techniques, with a key focus on BPE. It is important to highlight that this review study focuses on the MetalXTM 3D printer, manufactured by Markforged. This printer is among the widely utilized BPE 3D printers available in the market. The key results, together with the impact of post-heat treatments, were discussed and compared to provide a more comprehensive picture of the patterns that this alloy presents in terms of its microstructure and mechanical properties. This enables the manufacture of components relative to desired material performance, improving overall functionality. A comparison of yield strength, ultimate tensile strength (UTS), Young’s modulus, ductility, and hardness was made relative to microstructure, porosity, and density of published literature for the as-fabricated and post-heat-treated states, identifying areas for further research.
Leukaemic Presentation of Small-Cell Alk-Positive Anaplastic Large Cell Lymphoma in a Young Woman—Report of a Case with 9-Year Survival
Authors: Santonja Carlos , Morillo-Giles Daniel , Prieto-Pareja Elena , Soto-de Ozaeta Carlos , Serrano-del Castillo Cristina , Salgado-Sánchez Rocío , Yi-Shi Ana-Wu-Yang , Manso Rebeca , Rodríguez-Pinilla Socorro María
Published: September 2023

Anaplastic large cell lymphoma (ALCL) with leukaemic presentation (either ab initio or along the course of the disease) has been rarely reported. Irrespective of ALK expression in the neoplastic cells, it features a dismal prognosis. We report a rare case of leukaemic, small cell variant ALK-positive ALCL with 9-year survival in a young woman who was treated upfront with corticosteroids and standard chemotherapy, and review thoroughly the previously published cases. Such an unexpected, good outcome hints at the existence of different clinical subgroups in the leukaemic variant of ALK-positive ALCL.
The Immunomodulatory Role of Microbiota in Rheumatic Heart Disease: What Do We Know and What Can We Learn from Other Rheumatic Diseases?
Authors: Kohil Amira , Abdalla Wafa , Ibrahim Wisam N. , Al-Harbi Khalid M. , Al-Haidose Amal , Al-Asmakh Maha , Abdallah Atiyeh M.
Published: September 2023

Rheumatic heart disease (RHD) represents a serious cardiac sequela of acute rheumatic fever, occurring in 30–45% of patients. RHD is multifactorial, with a strong familial predisposition and known environmental risk factors that drive loss of immunological tolerance. The gut and oral microbiome have recently been implicated in the pathogenesis of RHD. Disruption of the delicate balance of the microbiome, or dysbiosis, is thought to lead to autoimmune responses through several different mechanisms including molecular mimicry, epitope spreading, and bystander activation. However, data on the microbiomes of RHD patients are scarce. Therefore, in this comprehensive review, we explore the various dimensions of the intricate relationship between the microbiome and the immune system in RHD and other rheumatic diseases to explore the potential effect of microbiota on RHD and opportunities for diagnosis and treatment.
Unexpected Tension Pneumothorax Developed during Anesthetic Induction Aggravated by Positive Pressure Ventilation: A Case Report
Authors: Ki Seunghee , Choi Beomseok , Cho Seung Bae , Hwang Seokwoo , Lee Jeonghan
Published: September 2023

Background and Objectives: Tension pneumothorax is a life-threatening emergency condition that requires immediate diagnosis and intervention. However, due to the non-specific symptoms and the rarity of its occurrence during surgery, anesthesiologists encounter difficulties in promptly diagnosing tension pneumothorax when it arises intraoperatively. Diagnosing tension pneumothorax can become even more challenging in unexpected situations in patients with normal preoperative evaluation for general anesthesia. Materials and Methods, Results: We report the case of a 66-year-old woman who underwent general anesthesia for oblique lateral interbody fusion surgery of her lumbar spine. Though she did not have any respiratory symptoms prior to the induction of anesthesia, auscultation following endotracheal intubation indicated decreased breathing sound in the left hemithorax of the chest. Subsequently, her vital signs showed tachycardia, hypotension, and hypoxemia, and the ventilator indicated a gradual increase in the airway pressure. We verified the proper depth of the endotracheal tube to exclude one-lung ventilation, and, in the meantime, learned that there had been unsuccessful attempts at left subclavian venous catheterization by the surgical department on the previous day. Tension pneumothorax was diagnosed through portable chest radiography in the operating room, and needle thoracostomy and chest tube insertion were performed immediately, which in turn stabilized her vital signs and airway pressure. The surgery was uneventful, and the chest tube was removed one week later after evaluation by the cardiothoracic department. The patient was discharged from hospital on postoperative day 14 without known complications. Conclusions: Anesthesiologists should be aware of the conditions and risk factors that may cause tension pneumothorax and remain vigilant for signs of its development throughout surgery, even for patients who show normal preoperative assessments. An undetected small pneumothorax without any symptoms can progress to tension pneumothorax through positive pressure ventilation during general anesthesia, posing a life-threatening situation. If a tension pneumothorax is highly suspected through clinical assessments, its prompt differentiation and timely diagnosis are crucial, allowing for rapid intervention to stabilize vital signs.
Synthesis of Pyridin-1(2H)-ylacrylates and the Effects of Different Functional Groups on Their Fluorescence
Authors: Yang Weiguang , Luo Danyang , Li Guanrong , Luo Qiaoli , Banwell Martin G. , Chen Lanmei
Published: September 2023

While fluorescent organic materials have many potential as well as proven applications and so have attracted significant attention, pyridine–olefin conjugates remain a less studied subset of such systems. Herein, therefore, we report on the development of the straightforward syntheses of pyridin-1(2H)-ylacrylates and the outcomes of a study of the effects of substituents on their fluorescent properties. Such compounds were prepared using a simple, metal-free and three-component coupling reaction involving 2-aminopyridines, sulfonyl azides and propiolates. The fluorescent properties of the ensuing products are significantly affected by the positions of substituents on the cyclic framework, with those located in central positions having the greatest impact. Electron-withdrawing groups tend to induce blue shifts while electron-donating ones cause red shifts. This work highlights the capacity that the micro-modification of fluorescent materials provides for fine-tuning their properties such that they may be usefully applied to, for example, the study of luminescent materials.
Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach
Authors: Zafar Kainat , Siddiqui Hafeez Ur Rehman , Majid Abdul , Rustam Furqan , Alfarhood Sultan , Safran Mejdl , Ashraf Imran
Published: September 2023

Despite significant improvement in prognosis, myocardial infarction (MI) remains a major cause of morbidity and mortality around the globe. MI is a life-threatening cardiovascular condition that requires prompt diagnosis and appropriate treatment. The primary objective of this research is to identify instances of anterior and inferior myocardial infarction by utilizing data obtained from Ultra-wideband radar technology in a hospital for patients of anterior and inferior MI. The collected data is preprocessed to extract spectral features. A novel feature engineering approach is designed to fuse temporal features and class prediction probability features derived from the spectral feature dataset. Several well-known machine learning models are implemented and fine-tuned to obtain optimal performance in the detection of anterior and inferior MI. The results demonstrate that integration of the fused feature set with machine learning models results in a notable improvement in both the accuracy and precision of MI detection. Notably, random forest (RF) and k-nearest neighbor showed superb performance with an accuracy of 98.8%. For demonstrating the capacity of models to generalize, K-fold cross-validation is carried out, wherein RF exhibits a mean accuracy of 99.1%. Furthermore, the examination of computational complexity indicates a low computational complexity, thereby indicating computational efficiency.
Attosecond-Level Delay Sensing via Temporal Quantum Erasing
Authors: Sgobba Fabrizio , Andrisani Andrea , Dello Russo Stefano , Siciliani de Cumis Mario , Santamaria Amato Luigi
Published: September 2023

Traditional Hong-Ou-Mandel (HOM) interferometry, insensitive to photons phase mismatch, proved to be a rugged single-photon interferometric technique. By introducing a post-beam splitter polarization-dependent delay, it is possible to recover phase-sensitive fringes, obtaining a temporal quantum eraser that maintains the ruggedness of the original HOM with enhanced sensitivity. This setup shows promising applications in biological sensing and optical metrology, where high sensitivity requirements are coupled with the necessity to keep light intensity as low as possible to avoid power-induced degradation. In this paper, we developed a highly sensitive single photon birefringence-induced delay sensor operating in the telecom range (1550 nm). By using a temporal quantum eraser based on common path Hongr-Ou-Mandel Interferometry, we were able to achieve a sensitivity of 4 as for an integration time of 2·104 s.
Painting, Talking, Rapping and Healing: U.S. Latine Youth and Young Adults Define Wellbeing through Arts-Based PAR
Authors: Armas Desiree , Juarez Israel , Ayala Jennifer , Dobles Jose , Estrada Alexia
Published: September 2023

This paper describes how a collective of Latine youth and adult allies used art-based approaches in a participatory action research project to better understand the ways in which young U.S. Latines make meaning of wellbeing. In this study, we interviewed 19 individuals who identified as Latino/a/e, ages 19–24, from Colorado, Washington state and New Jersey. Our team intentionally chose art-based approaches, including music and painting, as analytical tools and healing methods to synthesize the responses of the Latine youth we interviewed. We found that Latine youth and young adults initially struggle with defining wellbeing, considering it to be an overly abstract concept or something only achievable through expensive, Western-based medical practices. We also found that many Latine youth often link the root cause of a majority of their mental health issues to numerous systemic terrors such as racism, capitalism and sexism that directly harm their most intimate and supportive relationships: their immediate or extended family and friendships. Young Latine adults have identified these components as pillars of their wellbeing, along with the need for intergenerational conversations, a sense of convivencia, rootedness with freedom of movement and our right to healing and joy.
An algorithm for steganographic embedding of encrypted files in raster images
Authors: Ivanova Yoana
Published: September 2023

The aim of this paper is proposing a method for the application of algorithms for hiding an encrypted file inside of a digital image for cybersecurity purposes. The originality of the method is expressed in the possibility of studying the mathematical algorithms for creating computer graphics. The development of a comprehensive algorithm should contribute to the practical realization of the method proposed. It emphasizes on built-in algorithms in software systems for creating computer graphics and the advantages of steganographic embedding by opensource products that hides any archive file in a digital image. Its application contribution is supported by practical examples of software hiding and archiving an encrypted file in a graphic image.
Approaches and mechanisms for increasing capacity and internal building radio coverage of mobile cellular networks
Authors: Pasarelski Rosen
Published: September 2023

The aim of the report is to study different approaches and mechanisms for increasing the capacity and internal building radio coverage of mobile cellular networks. Various methods for indoor radio coverage are presented by comparing and analyzing the proposed solutions. On the occasion of overcoming the limitation of external microcells, other differentiated approaches are proposed for direct increase of the internal building signal. The approach consists of implementing antennas and equipment directly inside the buildings. These indoor antennas and radio engineering is defined as a distributed antenna system. With the development of mobile cellular networks of the fourth 4G and the introduction of the fifth 5G generation increasingly began to rely on a new optimal and effective approach to improving internal radio coverage and capacity in buildings and premises of end users presented as home base stations or femtocells.