bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Use of Artificial Intelligence for Qualitative Data Analysis: The Case of ChatGPT
Authors: Morgan David L.
Published: October 2023

The potential use of artificial intelligence programs such as a ChatGPT to analyze qualitative data raises any number of questions, most notably whether it is possible to produce similar results without the demanding process of manual coding. In addition, there are questions about both the simplicity of using ChatGPT for qualitative data analysis and the potential time savings that it might provide This article addresses these questions by using ChatGPT to reinvestigate two qualitative datasets that were previously analyzed by more traditional methods. In particular, it examines the extent to which the responses from ChatGPT can recreate the themes that were originally chosen to summarize the two previous analyses. The results show that ChatGPT performed reasonably well, but in both cases it was less successful at locating subtle, interpretive themes, and more successful at reproducing concrete, descriptive themes. In doing so, the program was quite easy to use and required very little effort in comparison to approaches that rely on manual coding. It is important to recognize, however, that both coding and approaches based on artificial intelligence are simply tools that must be applied within a larger analytic process. Overall, this exploration suggests that artificial intelligence may well have the power to disrupt the coding of data segments as a dominant paradigm for qualitative data analysis.
Transnational media corporations in global media cities: A geographical approach to understanding media power through corporate office networks
Authors: Watson Allan , Derudder Ben , Hoyler Michael
Published: October 2023

A central concern of media scholars has been the discursive and economic power of a small number of transnational media corporations (TNMCs). In this paper, we advance research on TNMC power through a novel empirical analysis of their global-spatial organization, reflected in their corporate global office networks. Our findings reveal both global and regional corporate strategies and, further, demonstrate how US new media firms are expanding into Chinese global media cities to penetrate this emerging media market. Our analyses provide a crucial macro-level overview of the structural power of TNMCs to consolidate control over the global network of media.
Creating a shared mental model of performance: Coaches’ perspectives of key position-specific soccer actions
Authors: Barraclough Sam , Piggott David , Till Kevin , Kerr Adam , Emmonds Stacey
Published: October 2023

Important decisions surrounding talent identification (TID), talent development (TD) and (de)selection within elite youth soccer are often grounded in the subjective opinions of coaches. These opinions often stem from coaches’ observations of player performance, which have been shown to be susceptible to several biases. Additionally, previous research has failed to establish specific criteria on which such opinions are based, aside from a coach's own intuition and practical experience. This study aimed to create a communal language and aligned criteria for the specific purpose of evaluating players’ performances. Semi-structured interviews were undertaken with nine experienced coaches (13.6 ± 10.8 years) from a professional UK soccer academy to identify coaches’ perceptions of key position-specific soccer actions, performed during differing moments of the game, for evaluating individual match performance. Thematic analysis of the interview data permitted the extraction of several themes , posited to encompass the position-specific soccer actions highlighted by the coaches. Themes for outfield positions included attacking skills; defending skills; movements to receive, create or exploit space; receiving and releasing skills; support play; end product; press, recover to the ball, man or space; and tactical understanding. Goalkeeper themes included tactical understanding, positioning relative to the ball, danger, teammates and opponents, play forward, support play, choice of action and range of distribution. This study highlights an applied approach of creating a shared mental model for appraising player performances, which can facilitate discussion and knowledge exchange between coaches and practitioners, with the intention of improving decision-making around TID, TD and (de)selection decisions.
Long-term efficacy and adverse effects of cannabidiol in adjuvant treatment of drug-resistant epilepsy: a systematic review and meta-analysis
Authors: Liu Shengyi , He Zihua , Li Jinmei
Published: October 2023

Background:

Epilepsy is one of the most common chronic brain diseases. Almost one-third of patients have drug-resistant epilepsy (DRE). Cannabidiol is being considered as a potential novel drug for treating DRE.

Objectives:

To investigate long-term efficacy and safety of cannabidiol in treatment of DRE and the differences in cannabidiol treatment among patients with different characteristics.

Design:

Systematic review and meta-analysis.

Data sources and methods:

Medline, Embase, and CENTRAL were searched for literature. RevMan5.4 was used for meta-analysis. The Intention-to-treat set and the random effect were used as the main analysis. Subgroup analyses were performed according to age, dose, concomitant antiseizure medications (ASMs), epilepsy syndromes, and study designs.

Results:

Fifty studies were included in this systematic review. A total of 4791 participants were collected. The responder rates (seizure frequency reduced at least 50%) at 12-, 24-, 48-, 72-, 96-, and 144-week were 0.40 [0.36, 0.45], 0.39 [0.34, 0.44], 0.37 [0.30, 0.44], 0.27 [0.17, 0.37], 0.22 [0.14, 0.30], and 0.38 [0.23, 0.53]. Seizure-free rates were 0.04 [0.03, 0.06], 0.04 [0.03, 0.05], 0.03 [0.02, 0.05], 0.03 [0.02, 0.03], 0.02 [0.01, 0.03], and 0.04 [0.01, 0.06]. Proportion of adverse events were 0.72 [0.61, 0.83], 0.62 [0.42, 0.81], 0.60 [0.41, 0.79], 0.35 [0.14, 0.56], 0.83 [0.75, 0.90], and 0.96 [0.94, 0.99]. The pooled 12-, 24-, 48-, 96-, and 144-week proportion of serious adverse events were 0.15 [0.09, 0.21], 0.23 [0.14, 0.31], 0.10 [0.06, 0.15], 0.31 [0.24, 0.38], and 0.40 [0.35, 0.45]. Subgroup analyses showed that there was no significant difference on efficacy and safety among age subgroups and epilepsy syndromes subgroups. For most periods, there were no significant difference on efficacy among subgroups of dose and concomitant ASMs. However, higher doses and more concomitant ASMs were associated with higher proportion of adverse events.

Conclusion:

Cannabidiol treatment of DRE has stable efficacy and fewer adverse events in early period. Long-term use may have decreased efficacy and increased adverse events. Dose escalation may not increase efficacy, but may increase adverse events. Furthermore, cannabidiol use may reduce dosage of other ASMs without reducing efficacy, thereby reducing adverse effects. Cannabidiol may have similar effects in various epilepsy syndromes.

Trial registration:

PROSPERO (CRD42022351250).
Repetitive transcranial magnetic stimulation for chemotherapy-induced peripheral neuropathy in multiple myeloma: A pilot study
Authors: Yan Zhenzhuang , Cao Weiwei , Miao Lei , Li Juan , Wang Hui , Xu Dandan , Yu Hainan , Zhu Yuanxin
Published: October 2023

Objective:

Chemotherapy-induced peripheral neuropathy is one of the major toxicities in multiple myeloma patients, often resulting in dose reductions or treatment interruptions. Repetitive transcranial magnetic stimulation is a safe non-invasive neuromodulation therapy with potential benefits for chemotherapy-induced peripheral neuropathy. The objective of this study was to investigate the efficacy of repetitive transcranial magnetic stimulation treatment on chemotherapy-induced peripheral neuropathy in multiple myeloma patients.

Materials and methods:

We screened 30 multiple myeloma patients with chemotherapy-induced peripheral neuropathy who underwent repetitive transcranial magnetic stimulation treatment in this study. Prior to and following repetitive transcranial magnetic stimulation treatment, patients were assessed with nerve conduction velocity, visual analog scale and the European Organization of Research and Treatment of Cancer Quality of Life Questionnaire-CIPN 20-item scale (EORTC QLQ-CIPN20). Categorical and continuous variables were analyzed using Fisher’s exact test and Mann-Whitney U test respectively. A p-value < 0.05 (2-tailed) was considered statistically significant.

Results:

Following repetitive transcranial magnetic stimulation treatment, 24/30 (80.0%) patients reported a reduction in chemotherapy-induced peripheral neuropathy symptoms. Meanwhile, all 15 patients with grade 2 chemotherapy-induced peripheral neuropathy experienced improvements about themselves, compared to 8/10 patient with grade 3 chemotherapy-induced peripheral neuropathy and 1/5 with grade 4 chemotherapy-induced peripheral neuropathy. Visual analog scale scores decreased after repetitive transcranial magnetic stimulation treatment (5.40 ± 1.94 vs 3.10 ± 1.60, p < 0.001). We also observed enhancements in both motor conduction velocity and sensory conduction velocity of patients in bilateral median nerves, posterior tibial nerves, common ulnar nerves and peroneal nerves following repetitive transcranial magnetic stimulation treatment. Analysis of the European Organization of Research and Treatment of Cancer Quality of Life Questionnaire-CIPN 20-item scale data (17.68 ± 8.14 vs 10.50 ± 9.55, p < 0.001) revealed significant reductions in scores. Patients with grade 2–3 ( n = 25) exhibited a mean reduction of 8.89 ± 4.24 points, while those with grade 4 ( n = 5) showed a difference value of 3.54 ± 3.45, p < 0.001. No adverse events were observed.

Conclusion:

Our findings suggest that repetitive transcranial magnetic stimulation is a safe and effective therapeutic approach for ameliorating peripheral nerve injury and alleviating the chemotherapy-induced peripheral neuropathy symptoms in multiple myeloma patients. Early initiation of repetitive transcranial magnetic stimulation treatment may yield more favorable outcomes for these patients.
Spotify as a technology for integrating health, exercise and wellness practices into financialised capitalism
Authors: Till Chris
Published: October 2023

Spotify dominates the audio streaming industry and offers an almost limitless library of music and other ‘sounds’. They have recently made various interventions into health, exercise and wellness with the development of curated and personalised playlists focused on activities such as running, weightlifting and meditation and guided workouts interspersed with algorithmically generated playlists. This article suggests that the company are developing new means of datafying health, exercise and wellness practices such as monitoring activities, heart rate, mood and broadly the rhythms and tempos of their lives. While this is presented as beneficial to users to provide a more personalised experience, analysis of patent applications, financial statements and promotional materials targeting advertisers and investors suggest other objectives. Audio consumption is combined with the newly datafied activities to ‘bundle’ users into ‘audience commodities’ to be sold to advertisers. Furthermore, such innovations, and the potential to attract advertisers, form the materials through which Spotify construct stories to potential investors about the future profitability, or at least growth in market value, of the company essential for firms integrated into ‘financialised capitalism’. This represents a further opening up of aspects of everyday lives to commercial exploitation through datafication and contributes to an attempt to reposition health-related practices as assets which can be packaged for investment portfolios. The publications analysed in this article demonstrate some of the ways in which Spotify seek to both monitor and shape practices of users to make them more amenable to financialisation.
Tackling the COVID-19 infodemic among Syrian refugees in Lebanon: Development and evaluation of the “Wikaytek” tool
Authors: Semaan Juliette , Farah Christopher , Harb Reem Abou , Bardus Marco , Germani Aline , Elhajj Imad H
Published: October 2023

Objective

The COVID-19 infodemic has been a global public health challenge, especially affecting vulnerable populations such as Syrian refugees with limited internet access and functional, health, digital, and media literacies. To address this problem, we developed Wikaytek, a software to diffuse reliable COVID-19 information using WhatsApp, the preferred communication channel among Syrian refugees. In this paper, we describe the systematic development of the tool.

Methods

We undertook a pilot study guided by the Humanitarian Engineering Initiative (HEI)'s user-centered design framework, comprising five stages: (a) user research, including needs assessment and desk review of interventions with target users; (b) concept design based on platform and source selection, message format, concept testing, and architecture design; (c) prototyping and implementation, encompassing software development and system operation; (d) user testing (alpha and beta); and (e) evaluation through software analytics and user interviews. We reported a qualitative process evaluation.

Results

Wikaytek scrapes validated and reliable COVID-19-related information from reputable sources on Twitter, automatically translates it into Arabic, attaches relevant media (images/video), and generates an audio format using Google text-to-speech. Then, messages are broadcast to WhatsApp. Our evaluation shows that users appreciate receiving “push” information from reliable sources they can trust and prefer the audio format over text.

Conclusions

Wikaytek is a useful and well-received software for diffusing credible information on COVID-19 among Syrian refugees with limited literacy, as it complements the texts with audio messages. The tool can be adapted to diffuse messages about other public health issues among vulnerable communities, extending its scope and reach in humanitarian settings.
Effectiveness of Case Manager Led Multi-Disciplinary Team Approach on Glycemic Control Amongst T2DM Patients in Primary Care in Riyadh: A Retrospective Follow-Up Study
Authors: Alshowair Abdulmajeed , Altamimi Saleh , Alshahrani Saad , Almubrick Rehab , Ahmed Syed , Tolba Ali , Alkawai Fatimah , Alruhaimi Faisal , Alsafwani Eman , AlSuwailem Fatima , Abdalla Haiam , Abdel-Azeem Amro
Published: October 2023

Objectives:

Our study aims to assess the effectiveness of implementing a case manager-led Multidisciplinary Team approach in the primary healthcare setting on improving glycemic control and reducing cardiovascular risks for T2DM patients over a 6-month period.

Methods:

This retrospective record-based follow-up study was carried out on 3060 uncontrolled T2DM patients in primary healthcare centers in Riyadh First Health Cluster over a period of 6 months. The patient records are investigated and analyzed, including demographic characteristics and measurements of Hemoglobin A1c (HbA1c), Low-Density Lipoprotein Cholesterol (LDL-C), total cholesterol, and BP levels at enrollment and after 6 months of Multi-Disciplinary Team follow-up. The changes in the study variables and their correlations to each other are tested using Statistical Package for the Social Sciences software.

Results:

At enrollment, our patients were characterized by poor glycemic control (HbAIC > 8%). Most of them have high body weight with a mean BMI of (31.2 ± 1.7), and nearly two-thirds are either hypertensive or have dyslipidemia (43.4% and 47.3% respectively). After 6 months of MDT follow-up, there is a significant improvement in glycemic control among 1971 patients (64.4%), with a reduction in the mean level of different outcomes relative to baseline HbA1c (−15%, P < .001), total cholesterol (−9.0%, P < .001), LDL-C (−11.0%, P < .001), systolic BP (−7.7%, P < .001), and diastolic BP (−10.5%, P < .001). The improved glycemic control showed a significant positive correlation with the number of MDT visits but negatively correlated with BMI and the number of comorbidities. In addition, the improvements in secondary outcomes were positively and significantly correlated with such improvements in glycemic control.

Conclusion:

Case-manager-led MDT approach significantly improves glycemic control and significantly improves control over dyslipidemia and hypertension, reducing cardiovascular risks, and unfavorable events among such diabetic patients. We highly recommend developing more MDTs, training case managers, and rigorously evaluating the MDT approach.
Financing Efficiency and Influencing Factors of High-Tech Small and Medium-Sized Enterprises of Information Technology Industry in the China Yangtze River Delta
Authors: Xu Wei , Zhang Mengting , Wang Feng
Published: October 2023

High-tech small and medium-sized enterprises (high-tech SMEs) play a driving role in the economic transformation of the China Yangtze River Delta. However, comparatively little research and attention has been paid to evaluating the financing efficiency and investigating both external and internal influencing factors on financing efficiency based on the information of these enterprises. This study evaluates the financing efficiencies in a homogeneous environment of high-tech SMEs of information technology industry in the China Yangtze River Delta for the period 2014 to 2020 employing the panel three-stage Data Envelopment Analysis model. We have concluded that the financing technical efficiency presents a U-shaped trend from 2014 to 2020, at a moderate level due to the low pure technical efficiency; financing efficiency shows different spatial distribution patterns; most decision-making units are in the quasi-relatively inefficient range, while only a minority are at the efficiency frontier. Furthermore, the external and internal environmental factors are investigated based on Panel Stochastic Frontier Analysis and Tobit model. According to the empirical results, the optimization of the financial and technical environment contributes to financing efficiency; by contrast, a good economic and policy environment appears to restrict it; internal environmental factors such as growth ability, debt solvency, and the average age of managers have significant impacts on financing efficiency.
Dementia Researchers’ Inside Views on Research Networks and Alignment With Public Research Funding: A Qualitative Study
Authors: Fusdahl Peter , Testad Ingelin , Aarsland Dag , Braut Geir Sverre
Published: October 2023

This study presents the dementia researchers views of research networks, and how the networks fit into their pursuit of research objectives and dementia research funding. We conducted 10 semi-structured interviews with 10 leading dementia researchers in Norway, for a qualitative study inspired by grounded theory. The dementia researchers consider the six categories to determine the legitimacy of the proposed network and its proposing person. The six categories are: personal motivation, relationship and friendship, communication, research funding, research management, and network characteristics. The dementia researcher offers insights into best practice of research networks. The study suggests that leading dementia researchers collaborate effectively on research activities toward personal research interests and objectives, but these are not actively aligned coordinated with the interests of the public research funding institutions. Lack of coordination between the funded dementia researchers and the funding institutions limits the potential performance from the dementia research.
The value of Clinical signs in the diagnosis of Degenerative Cervical Myelopathy - A Systematic review and Meta-analysis
Authors: Jiang Zhilin , Davies Benjamin , Zipser Carl , Margetis Konstantinos , Martin Allan , Matsoukas Stavros , Zipser-Mohammadzada Freschta , Kheram Najmeh , Boraschi Andrea , Zakin Elina , Obadaseraye Oke Righteous , Fehlings Michael G. , Wilson Jamie , Yurac Ratko , Cook Chad E , Milligan Jamie , Tabrah Julia , Widdop Shirley , Wood Lianne , Roberts Elizabeth A. , Rujeedawa Tanzil , Tetreault Lindsay ,   AO Spine RECODE-DCM Diagnostic Criteria Incubator
Published: October 2023

Study Design

Delayed diagnosis of degenerative cervical myelopathy (DCM) is likely due to a combination of its subtle symptoms, incomplete neurological assessments by clinicians and a lack of public and professional awareness. Diagnostic criteria for DCM will likely facilitate earlier referral for definitive management.

Objectives

This systematic review aims to determine (i) the diagnostic accuracy of various clinical signs and (ii) the association between clinical signs and disease severity in DCM?

Methods

A search was performed to identify studies on adult patients that evaluated the diagnostic accuracy of a clinical sign used for diagnosing DCM. Studies were also included if they assessed the association between the presence of a clinical sign and disease severity. The QUADAS-2 tool was used to evaluate the risk of bias of individual studies.

Results

This review identified eleven studies that used a control group to evaluate the diagnostic accuracy of various signs. An additional 61 articles reported on the frequency of clinical signs in a cohort of DCM patients. The most sensitive clinical tests for diagnosing DCM were the Tromner and hyperreflexia, whereas the most specific tests were the Babinski, Tromner, clonus and inverted supinator sign. Five studies evaluated the association between the presence of various clinical signs and disease severity. There was no definite association between Hoffmann sign, Babinski sign or hyperreflexia and disease severity.

Conclusion

The presence of clinical signs suggesting spinal cord compression should encourage health care professionals to pursue further investigation, such as neuroimaging to either confirm or refute a diagnosis of DCM.
Unraveling transit service and land use components of the socio-spatial inequality of access
Authors: Janatabadi Fatemeh , Ermagun Alireza
Published: October 2023

This study proposes a framework that delineates the mobility and place components of access to help identify areas potentially suffering from insufficient transit service, limited job opportunities, or both. The framework introduces Spatial Inequality of Transit Services (SITS) and Spatial Inequality of Opportunities (SIO) measures to guide the structural reform of transit development policies through the lens of equity, equality, and need. It is tested on transit access to employment opportunities at the block group level in the Washington Metropolitan Area. Three observations are perceived. First, mobility and place components of access should be untangled to tailor effective transit and land use plans and policies. Second, transit services are less equally distributed than employment opportunities and disproportionately serve the residents of core cities. Third, carless and low-income households disproportionally reside in areas with better transit services regardless of their proximity to employment opportunities, and African Americans are discriminated against the most by the unequal distribution of employment opportunities. The findings serve as an essential input for developing regional transit plans and may be utilized to evaluate and prioritize proposed interventions based on their potential to reduce observed access deficiencies. However, further targeted research on residential location choice is necessary to delve into the decision-making processes, understand underlying motivations, identify potential barriers in seeking alternative options, and determine if it is a result of self-selection.
Green synthesis of silver nanoparticles using Adhatoda vasica leaf extract and its application in photocatalytic degradation of dyes
Authors: Chaudhari Ronak Kumar , Shah Priyanka A. , Shrivastav Pranav S.
Published: October 2023

The paper describes biogenic synthesis of silver nanoparticles (AgNPs) using Adhatoda vasica leaf extracts at room temperature. The prepared AgNPs were characterized by UV–visible spectroscopy, Fourier-transform infrared spectroscopy, powder X-ray diffraction, Energy dispersive X-ray (EDX), High Resolution Transmission Electron Microscope, Scanning Electron Microscopy and Thermogravimetric analyser. The bio reduction method is devoid of any toxic chemicals, organic solvents, and external reducing, capping and stabilizing agent. The synthesized AgNPs had spherical shape with particle size ranging between 3.88 and 23.97 nm and had face centered cubic structure. UV–visible spectral analysis confirmed the formation of AgNPs with a characteristic surface plasmon resonance band at 419 nm. The EDX pattern revealed the presence of elemental Ag in AgNPs. The prepared AgNPs were used for degradation of Amaranth, Allura red and Fast green in aqueous medium, with ≥ 92.6% efficiency within 15 min using 5 mg of AgNPs. The optical bandgap, Eg value of 2.26 eV for AgNPs was found to be effective for rapid photocatalytic degradation of all the three dyes. The degradation process was observed to follow pseudo first order kinetics.
LncRNA–protein interaction prediction with reweighted feature selection
Authors: Lv Guohao , Xia Yingchun , Qi Zhao , Zhao Zihao , Tang Lianggui , Chen Cheng , Yang Shuai , Wang Qingyong , Gu Lichuan
Published: October 2023

LncRNA–protein interactions are ubiquitous in organisms and play a crucial role in a variety of biological processes and complex diseases. Many computational methods have been reported for lncRNA–protein interaction prediction. However, the experimental techniques to detect lncRNA–protein interactions are laborious and time-consuming. Therefore, to address this challenge, this paper proposes a reweighting boosting feature selection (RBFS) method model to select key features. Specially, a reweighted apporach can adjust the contribution of each observational samples to learning model fitting; let higher weights are given more influence samples than those with lower weights. Feature selection with boosting can efficiently rank to iterate over important features to obtain the optimal feature subset. Besides, in the experiments, the RBFS method is applied to the prediction of lncRNA–protein interactions. The experimental results demonstrate that our method achieves higher accuracy and less redundancy with fewer features.
Biomarker detection using corrected degree of domesticity in hybrid social network feature selection for improving classifier performance
Authors: Zengin Hatice Yağmur , Karabulut Erdem
Published: October 2023

Background

Dimension reduction, especially feature selection, is an important step in improving classification performance for high-dimensional data. Particularly in cancer research, when reducing the number of features, i.e., genes, it is important to select the most informative features/potential biomarkers that could affect the diagnostic accuracy. Therefore, researchers continuously try to explore more efficient ways to reduce the large number of features/genes to a small but informative subset before the classification task. Hybrid methods have been extensively investigated for this purpose, and research to find the optimal approach is ongoing. Social network analysis is used as a part of a hybrid method, although there are several issues that have arisen when using social network tools, such as using a single environment for computing, constructing an adjacency matrix or computing network measures. Therefore, in our study, we apply a hybrid feature selection method consisting of several machine learning algorithms in addition to social network analysis with our proposed network metric, called the corrected degree of domesticity, in a single environment, R, to improve the support vector machine classifier’s performance. In addition, we evaluate and compare the performances of several combinations used in the different steps of the method with a simulation experiment.

Results

The proposed method improves the classifier’s performance compared to using the whole feature set in all the cases we investigate. Additionally, in terms of the area under the receiver operating characteristic (ROC) curve, our approach improves classification performance compared to several approaches in the literature.

Conclusion

When using the corrected degree of domesticity as a network degree centrality measure, it is important to use our correction to compare nodes/features with no connection outside of their community since it provides a more accurate ranking among the features. Due to the nature of the hybrid method, which includes social network analysis, it is necessary to investigate possible combinations to provide an optimal solution for the microarray data used in the research.
Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework
Authors: Mohammad Awwab , Siddiqui Farheen , Alam M. Afshar , Idrees Sheikh Mohammad
Published: October 2023

The commercial adoption of BCI technologies for both clinical and non-clinical applications is drawing scientists to the creation of wearable devices for daily living. Emotions are essential to human existence and have a significant impact on thinking. Emotion is frequently linked to rational decision-making, perception, interpersonal interaction, and even basic human intellect. The requirement for trustworthy and implementable methods for the detection of individual emotional responses is needed with rising attention of the scientific community towards the establishment of some significant emotional connections among people and computers. This work introduces EEG recognition model, where the input signal is pre-processed using band pass filter. Then, the features like discrete wavelet transform (DWT), band power, spectral flatness, and improved Entropy are extracted. Further, for recognition, tri-classifiers like long short term memory (LSTM), improved deep belief network (DBN) and recurrent neural network (RNN) are used. Also to enhance tri-model classifier performance, the weights of LSTM, improved DBN, and RNN are tuned by model named as shark smell updated BES optimization (SSU-BES). Finally, the perfection of SSU-BES is demonstrated over diverse metrics.
Identification of cell-type specific alternative transcripts in the multicellular alga Volvox carteri
Authors: Balasubramanian Ravi Nicholas , Gao Minglu , Umen James
Published: October 2023

Background

Cell type specialization is a hallmark of complex multicellular organisms and is usually established through implementation of cell-type-specific gene expression programs. The multicellular green alga Volvox carteri has just two cell types, germ and soma, that have previously been shown to have very different transcriptome compositions which match their specialized roles. Here we interrogated another potential mechanism for differentiation in V. carteri, cell type specific alternative transcript isoforms (CTSAI).

Methods

We used pre-existing predictions of alternative transcripts and de novo transcript assembly with HISAT2 and Ballgown software to compile a list of loci with two or more transcript isoforms, identified a small subset that were candidates for CTSAI, and manually curated this subset of genes to remove false positives. We experimentally verified three candidates using semi-quantitative RT-PCR to assess relative isoform abundance in each cell type.

Results

Of the 1978 loci with two or more predicted transcript isoforms 67 of these also showed cell type isoform expression biases. After curation 15 strong candidates for CTSAI were identified, three of which were experimentally verified, and their predicted gene product functions were evaluated in light of potential cell type specific roles. A comparison of genes with predicted alternative splicing from Chlamydomonas reinhardtii, a unicellular relative of V. carteri, identified little overlap between ortholog pairs with alternative splicing in both species. Finally, we interrogated cell type expression patterns of 126 V. carteri predicted RNA binding protein (RBP) encoding genes and found 40 that showed either somatic or germ cell expression bias. These RBPs are potential mediators of CTSAI in V. carteri and suggest possible pre-adaptation for cell type specific RNA processing and a potential path for generating CTSAI in the early ancestors of metazoans and plants.

Conclusions

We predicted numerous instances of alternative transcript isoforms in Volvox, only a small subset of which showed cell type specific isoform expression bias. However, the validated examples of CTSAI supported existing hypotheses about cell type specialization in V. carteri, and also suggested new hypotheses about mechanisms of functional specialization for their gene products. Our data imply that CTSAI operates as a minor but important component of V. carteri cellular differentiation and could be used as a model for how alternative isoforms emerge and co-evolve with cell type specialization.
A dual sgRNA library design to probe genetic modifiers using genome-wide CRISPRi screens
Authors: Guna Alina , Page Katharine R. , Replogle Joseph M. , Esantsi Theodore K. , Wang Maxine L. , Weissman Jonathan S. , Voorhees Rebecca M.
Published: October 2023

Mapping genetic interactions is essential for determining gene function and defining novel biological pathways. We report a simple to use CRISPR interference (CRISPRi) based platform, compatible with Fluorescence Activated Cell Sorting (FACS)-based reporter screens, to query epistatic relationships at scale. This is enabled by a flexible dual-sgRNA library design that allows for the simultaneous delivery and selection of a fixed sgRNA and a second randomized guide, comprised of a genome-wide library, with a single transduction. We use this approach to identify epistatic relationships for a defined biological pathway, showing both increased sensitivity and specificity than traditional growth screening approaches.
PVA enema ameliorates DSS-induced acute colitis in mice
Authors: Zhang Zhiyong , Kong Lingnan , Lv Ming , Yao Yukuan , Gao Li , Zhou Ruchen , Ma Wenlong , Li Jing
Published: October 2023

Background

Ulcerative colitis (UC) represents a clinically challenging condition characterized by persistent damage to the colonic epithelial mucosa as the principal pathological feature. Polyvinyl alcohol (PVA) solution, primarily composed of glue, is a biodegradable polymer material that has found utility in the medical field. This research endeavors to investigate the therapeutic potential of PVA water solution in ameliorating UC in mice.

Methods

UC was induced in 48 C57BL/6 mice by administering 2.5% DSS in their diet for 6 days. Mice were treated with different concentrations of PVA (0.1 mg/ml PVA, 0.3 mg/ml PVA, 1 mg/ml PVA, 3 mg/ml PVA, 10 mg/ml PVA) enemas (n = 6). Disease Activity Index (DAI) and histologic score were evaluated for inflammation degree. Furthermore, mouse colon organoids were cultured, which were used to assess the effects of PVA on expansion in vitro.

Results

PVA aqueous solutions (1 mg/ml and 3 mg/ml) were able to alleviate the DAI in mice. By DAY 6, there was a significant 3/5-fold decrease in DAI within the 1 mg/ml PVA group (p = 0.02). Histopathology scores demonstrated improvements, while the levels of inflammatory factors in the intestinal mucosal tissue were reduced. Additionally, it was confirmed that PVA could promote the expansion of colonic organoids in vitro.

Conclusions

In summary, our investigation has yielded findings indicating that PVA holds the potential to ameliorate symptoms associated with colitis in murine subjects afflicted by DSS-induced colitis, primarily through its facilitation of intestinal stem cell expansion. This study might provide a new candidate for the clinical treatment of ulcerative colitis.
Association between multimorbidity and informal long-term care use in China: a nationwide cohort study
Authors: Chen Shu , Si Yafei , Hanewald Katja , Li Bingqin , Wu Chenkai , Xu Xiaolin , Bateman Hazel
Published: October 2023

Background

The impact of multimorbidity on long-term care (LTC) use is understudied, despite its well-documented negative effects on functional disabilities. The current study aims to assess the association between multimorbidity and informal LTC use in China. We also explored the socioeconomic and regional disparities.

Methods

The study included 10,831 community-dwelling respondents aged 45 years and older from the China Health and Retirement Longitudinal Study in 2011, 2015, and 2018 for analysis. We used a two-part model with random effects to estimate the association between multimorbidity and informal LTC use. Heterogeneity of the association by socioeconomic position (education and income) and region was explored via a subgroup analysis. We further converted the change of informal LTC hours associated with multimorbidity into monetary value and calculated the 95% uncertainty interval (UI).

Results

The reported prevalence of multimorbidity was 60·0% (95% CI: 58·9%, 61·2%) in 2018. We found multimorbidity was associated with an increased likelihood of receiving informal LTC (OR = 2·13; 95% CI: 1·97, 2·30) and more hours of informal LTC received (IRR = 1·20; 95% CI: 1·06, 1·37), ceteris paribus. Participants in the highest income quintile received more hours of informal LTC care (IRR = 1·62; 95% CI: 1·31, 1·99). The estimated monetary value of increased informal LTC hours among participants with multimorbidity was equivalent to 3·7% (95% UI: 2·2%, 5·4%) of China’s GDP in 2018.

Conclusion

Our findings substantiate the threat of multimorbidity to LTC burden. It is imperative to strengthen LTC services provision, especially among older adults with multimorbidity and ensure equal access among those with lower income.
Statistical model of trajectories of reduced mobility in older people with locomotive disorders: a prospective cohort study with group-based trajectory model
Authors: Iwaya Tsutomu , Tanabe Hideki , Ohkuma Yusuke , Ito Ayumi , Hayashi Kunihiko , Ideno Yuki , Nagai Kazue , Akai Masami
Published: October 2023

Background

Today we experience “Super-aged society”, and a drastic increase in the number of older people needing assistance is an urgent matter for everyone from medical and socio-economical standpoints.

Locomotive organ dysfunction due to musculoskeletal disorders is one of the main problems in these patients. Although the concepts of frailty and sarcopenia have been proposed for functional decline, pain remains the main and non-negligible complaint in these of such disorders.

This prospective cohort study aimed to observe the changes of reduced mobility in patients with locomotive disorders and to determine the risk factors for functional deterioration of those patients using statistical modeling.

Methods

A cohort of older adults with locomotive disorders who were followed up every 6 months for up to 18 months was organized. Pain, physical findings related to the lower extremities, locomotive function in performing daily tasks, and Geriatric Locomotive Function Scale-25 (GLFS-25) score were collected to predict the progress of deterioration. Group-based trajectory analysis was used to identify subgroups of changes of GLFS-25 scores, and multinomial logistic regression analysis was performed to investigate potential predictors of the GLFS-25 trajectories.

Results

Overall, 314 participants aged between 65 and 93 years were included. The participants were treated with various combinations of orthopedic conservative treatments on an outpatient basis.

The in-group trajectory model analysis revealed a clear differentiation between the four groups. The mild and severe groups generally maintained their GLFD-25 scores, while the moderate group included a fluctuating group and a no change group.　This study showed that comorbidity of osteoporosis was related to GLFS-25 score over 18 months. Age was a weak factor to be moderate or severe group, but gender was not. In addition, the number of pain locations, number of weak muscles, one-leg standing time, grip strength and BMI significantly contributed to the change in GLFS-25 score.

Conclusions

This study proposes an effective statistical model to monitor locomotive functions and related findings. Pain and comorbid osteoporosis are significant factors that related to functional deterioration of activities. In addition, the study shows a patient group recovers from the progression and their possible contributing factors.
The roles of pets in long-term care at home: a qualitative study
Authors: Reniers Peter W.A. , Leontjevas R. , Declercq I. J.N. , Enders-Slegers M-J. , Gerritsen D. L. , Hediger K.
Published: October 2023

Background

Pets play very important roles for older adults. However, whether the same roles apply to pets of care clients receiving long-term care at home (LTCH) is unclear. This study aimed primarily to explore whether the roles of pets for LTCH-clients who own pets are comparable to the roles of pets for older adults in the general population. Furthermore, we explored potential pet-related problems that might be encountered in LTCH in practice, and the potential influences of pet ownership on caregiving relationships. These insights may help improve long-term care services in LTCH.

Methods

This project started with a study using the Consensual Qualitative Research method (CQR). We conducted semi-structured interviews based on themes from our previous review (e.g., Relational Aspects, Emotional Aspects, and Social Aspects). Secondly, an online survey was used to confirm the findings from the CQR study by calculating Content Validity Index scores (in SPSS 26) regarding contents, relevance, and clarity. The survey also included open-ended questions on potential pet-related problems and their impact on caregiving relationships for LTCH-clients, family caregivers, and professional caregivers.

Results

The CQR study found that the roles pets play for LTCH-clients (N = 8), family caregivers (N = 10), and professional caregivers (N = 10) were similar to the roles pets play for older adults in the general population. The online survey confirmed most of the CQR findings. In the survey, LTCH-clients (N = 4), family caregivers (N = 8), professional caregivers (N = 8), and researchers in human-animal studies and in geriatric care (N = 5) reported various potential problems that could arise from pet ownership by LTCH-clients, such as clients with deteriorating health being forced to part with their pets. Participants also reported potential positive and negative effects of pet ownership on caregiving relationships, such as pets being a nice topic of conversation, or, conversely, a source of disagreement in the LTCH context.

Conclusions

The roles pets play for LTCH-clients seem comparable to the roles pets play for older adults in the general population. In addition, LTCH-clients might experience pet-related problems specific to the LTCH context. Pets may influence caregiving relationships, either positively or negatively. Therefore, instruments and guidelines are needed to account for pets in LTCH.
Triglyceride-glucose index as a valuable predictor for aged 65-years and above in critical delirium patients: evidence from a multi-center study
Authors: Huang Xiaxuan , Cheng Hongtao , Yuan Shiqi , Ling Yitong , Tan Shanyuan , Tang Yonglan , Niu Chen , Lyu Jun
Published: October 2023

Background

The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older.

Methods

We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium.

Results

Participants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 (≥ 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences.

Conclusion

This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.
Latent tuberculosis in children and youth with type 1 diabetes mellitus in Dar es Salaam, Tanzania: a cross section survey
Authors: Majaliwa Edna S. , Muze Kandi , Godfrey Evance , Byashalira Kenneth , Mmbaga Blandina T , Ramaiya Kaushik , Mfinanga Sayoki G
Published: October 2023

Background

Data for latent tuberculosis in patients with type 1 Diabetes in Africa is limited. We assessed the prevalence of latent tuberculosis in youth and children with type 1 Diabetes in Dar es Salaam –Tanzania.

Methods

Our cross-sectional study recruited children and youth with T1DM by stage of puberty, glycaemic control, and age at diagnosis from January to December 2021 in Dar es Salaam. Participants were screened for the presence of latent Tuberculosis using the QuantiFERON test. A positive test was considered to have latent TB.

Results

Of the 281 participants, the mean age was 19 (± 6) years, 51.2% were female, and 80.8% had either a primary or secondary level of education at baseline. The prevalence of latent TB was 14.9% and was slightly higher in females (52.4%) than in males. This difference, however, was insignificant (p > 0.05). On the other hand, the proportion of latent TB was significantly higher in uncontrolled HbA1c levels (76.2%) than in those with controlled HbA1c (23.8%) [p = 0.046]. Duration of diabetes and age at diagnosis did not affect the occurrence of latent Tuberculosis [p > 0.05]. Meanwhile, in the regression model, participants with latent TB were more likely to have uncontrolled HbA1c. [p = 0.045]

Conclusions

Despite the methodological limitations, this survey highlights the high prevalence of latent TB among children and youth with diabetes; shouting for better control. These results clearly show the need to screen for Tuberculosis in children and youth with diabetes and start them on prevention as per protocol, especially in tuberculosis-endemic areas like Tanzania.