Text Databases Research Articles

Innovation and Sustainability in the Amazon with the Use of Blockchain

Objective: The general objective of this study is to model the implementation of a blockchain system for solid wastemanagement in a government agency. The specific objectives of the results are to identify the main challenges in implementing a blockchain system for solid waste management in Public Management (1); characterize the blockchain models identified in this investigation (2); and develop a blockchain system model for solid waste management in a government agency (3). Theoretical Framework: The Theory of New Public Management, discussed in Madan and Ashok (2022), is the basis of this study, considering the notes of these authors, who address the dominant paradigm in public administration. Method: This research has a qualitative or mixed approach, as it includes parametric elements based on architecture such as blockchain, supported by bibliographical research and documentary analysis. The bibliographical research was based on elements of an integrated solid waste management system, through a framework, as conceptualized in the specific topic of this study. The Content Analysis method was used to research documents and other textual or audiovisual databases on solid waste management and blockchain technology. This research method allowed us to extract relevant information from the data collected, organize it into thematic categories, and interpret it in light of the theoretical framework obtained. By applying Content Analysis, patterns, meanings, and nuances were identified that could enrich the understanding of the phenomenon studied, ensuring an in-depth and contextualized analysis. Results and Discussion: The scenario of research on solid waste management in Brazil is marked by significantchallenges that reflect the complexity of the country's socioeconomic and environmental context. According to Agência Brasil (2023), the generation of solid waste has increased alarmingly, with data from 2021 indicating that more than 80 million tons were produced, of which only 32.5% were correctly disposed of. Thisreality highlights the urgent need for effective and innovative public policies that address integrated waste management. Research Implications: The relevance of implementing a blockchain system in public governance is highlighted, considering the growing demand for innovative and sustainable solutions. Originality/Value: This study is of interest to government managers, academics involved in applied research onblockchain in waste management, politicians and other leaders committed to excellence in management, and other professionals committed to promising results in the relationship between innovation and sustainability in organizations.

Association between perceived discrimination and pulse wave velocity: a scoping review

Racial discrimination is a chronic stressor that may contribute to cardiovascular disease (CVD) disparities in non-Hispanic Black (NHB) adults. NHB adults experience greater perceived discrimination (PD) and CVD risk compared with non-Hispanic White adults. Although the association between PD and some subclinical CVD markers has been examined, the relationship between PD and arterial stiffness has not been established, limiting our understanding of the impact of PD on CVD.ObjectiveThe objective of this review was to summarise the literature on the relationship between PD and arterial stiffness.DesignSystematic scoping review.Data sourcesPubMed, Embase, SPORTDiscus with full text and CINALH+ with full text databases were searched from inception to 10 July 2023.Eligibility criteriaAdults (≥18 years), arterial stiffness measured as pulse wave velocity (PWV), PD assessment, and randomised control trial or observational study designs.Data extraction and synthesisOf 453 articles identified, four studies were included. Two studies were cross-sectional (United States, Brazil), one was longitudinal (United Kingdom), and another was a randomized control trial (United States).ResultsThe age of the study populations ranged from 18 years to 75 years and one study evaluated a clinical population. All studies used different PWV devices and PD assessments. Associations between PD and PWV varied by geographical region, sex, clinical status and study design.ConclusionResearch evaluating the association between PD and PWV is scarce and heterogeneous in PD and PWV assessments. There is an inconclusive association between PD and PWV.

Efficacy of continuous glucose monitoring in people living with diabetes and end stage kidney disease on dialysis: a systematic review

BackgroundPatients with diabetes on dialysis experience wide variations in glucose levels and an increased risk of hypoglycaemia. Due to the inaccuracies of HbA1c in dialysis patients, JBDS-IP and KDIGO recommend the use of continuous glucose monitoring (CGM). We conducted a systematic review to examine the current evidence for CGM use and its impact on clinical outcomes in patients with diabetes on dialysis.MethodsA search of MEDLINE(R) ALL, Ovid Emcare, Journals@Ovid Full Text and Embase databases were conducted. Clinical or observational trials in adults with Type 1(T1D) or Type 2 (T2D) diabetes on dialysis and CGM intervention reporting on glycaemic outcomes were included.ResultsOf the 936 citations identified, 49 duplicates were removed. 887 citations were screened by title and abstract. 9 full texts were reviewed and a further 7 excluded due to duplications or failure to meet to selection criteria. Data was extracted for 2 studies, both prospective before-and-after interventional studies with no control group. Joubert et al. (2015) showed results for 15 participants with T1D. Mean CGM glucose level decreased from 8.37mmol/L at baseline to 7.7mmol/L at the end of the CGM period (p < 0.05) while HbA1c decreased from 6.9 to 6.5% (p < 0.05) during the same period. Mean CGM was lower on dialysis days (7.68mmol/L vs. 7.8mmol/L, p < 0.05). Képénékian et al. (2014) reported on data from 29 T2D patients. Following a 3 month CGM-adapted insulin regimen, HbA1c decreased from 8.4% at baseline to 7.6% (p < 0.01) by the end of study. Mean CGM values decreased from 9.9mmol/L to 8.9mmol/L (p = 0.05) and the frequency of glucose values > 10mmol/L decreased from 41 to 30% (p < 0.05), without a significant increase in hypoglycaemia frequency. Both studies were deemed to be of ‘good’ quality.ConclusionEvidence demonstrating the benefits of CGM in patients with diabetes receiving dialysis is lacking. There is a need for well-designed randomised controlled trials to ascertain the benefits of this technology in this patient group.Trail registrationPROSPERO registration number: CRD42023371635, https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=371635.

Exploring associations between urban soundscape and contextual factors based on a textual data-driven analysis and mapping approach: A case study in Daejeon, Korea

In soundscape research, it is crucial to understand how contextual factors are associated with people’s perception of acoustic environments. This study proposes a Textual Data-driven Context Analysis and Mapping Method (TD-CAMM), aiming at comprehensively exploring the intricate relationship between soundscape and contextual factors. Through a case study employing TD-CAMM, we demonstrate its effectiveness in quantitatively analyzing text-based contextual data, facilitating the identification of patterns and interrelations among diverse contextual elements via statistical analyses. Utilizing collected contextual data including the purpose of visit, time of use, sound source, emotion, and perceived affective quality, we conducted a hierarchical cluster analysis to characterize soundscapes of the selected locations, revealing four distinct clusters. Subsequently, association rule analysis was performed to identify unique associations among contextual elements shaping the soundscapes within each cluster. Cluster 1, the 'Nightlife Zone of Noisy Urban Settings' was characterized by 'Restless' and 'Noisy' emotions associated with nighttime activities. Cluster 2, the 'Lively Human-Centered Zone for Day and Evening Activities' reflected vibrant human interactions. Cluster 3, identified as 'Restless and Noisy Urban Traffic' was marked by transportation sounds, emphasizing urban bustle. Lastly, Cluster 4, the 'Tranquil Urban Nature Walk' encompassed serene natural spaces with 'Tranquil' emotions amidst natural sounds. These findings present a comprehensive approach to evaluating urban soundscapes, with potential applications in future urban soundscape research and design.

Grammatical Alliance in the Acehian Language

This research aims to describe the grammatical alliance system found in the Acehnese language. The research method used in this research is descriptive-qualitative. Miles and Huberman Model Qualitative Data Analysis Techniques Miles and Huberman can be carried out in three stages, namely data reduction, data display, and conclusion drawing and verification. Data was collected through online or offline searches, including from digital text databases and online sources, in Acehnese, namely Acehnese song lyrics. Comparison with relevant literature was also used to ensure the consistency and validity of the findings. Based on this, 16 lines were found in two Aceh-language regional songs. The data found that the Acehnese language belongs to the accusative type, which treats S the same as A and gives a gives a different treatment to P (S = A ≠ P).

Oral Bacterial Lysate OM-85: Advances in Pharmacology and Therapeutics.

Bacterial lysates are known for having immunomodulatory properties and have been used mainly for the prevention and treatment of respiratory tract infections (RTIs). However, rigorous studies are needed to confirm the clinical efficacy of bacterial lysates with various bacterial antigen components, preparation methods, administration routes and course of treatment. OM-85, an oral standardized lysate prepared by alkaline lysis of 21 strains from 8 species of common respiratory tract pathogens, is indicated as immunotherapy for prevention of recurrent RTIs and acute infectious exacerbations of chronic bronchitis. OM-85 acts on multiple innate and adaptive immune targets and can restore type 1helper T (Th1)/Th2 balance. Sporadic studies have shown advances in pharmacology and therapeutics of OM-85, and thus an update review is necessary. Literature was retrieved by searching PubMed, Web of science, Embase, CNKI, and Full Text Database of Chinese Medical Journals. New roles of OM-85 were discovered in prevention and treatment of lung cancer, pulmonary tuberculosis, SARS-CoV-2 infection, allergic rhinitis, pulmonary fibrosis, atopic dermatitis, and nephrotic syndrome. Pharmacoeconomic values of OM-85 were demonstrated in prophylaxis and treatment of RTIs, chronic obstructive pulmonary disease, asthma, chronic bronchitis, rhinosinusitis and allergic rhinitis. Two consecutive courses of OM-85 (6 or 12 months apart) could prevent recurrent RTIs in children. Maternal OM-85 treatment could offer benefits for offspring. Product-specific response was observed. The efficacy of OM-85 may be associated with patient's characteristics (eg, severity of the disease, age, immune response pattern, malignancy risk stratification). OM-85 can improve effectiveness of standard care for some primary diseases, and carry significant pharmacoeconomic implications. The benefits shown by OM-85 in vitro and in vivo, when extrapolated to humans, are exciting but also require caution. Individualized treatment may need to be considered. It is necessary to compare the efficacy and safety of various bacterial lysate preparations.

A Transfer Learning Approach for Arabic Image Captions

Background: Arabic image captioning (AIC) is the automatic generation of text descriptions in the Arabic language for images. Applies a transfer learning approach in deep learning to enhance computer vision and natural language processing. There are many datasets in English reverse other languages. Instead of, the Arabs researchers unanimously agreed that there is a lack of Arabic databases available in this field. Objective: This paper presents the improvement and processing of the available Arabic textual database using Google spreadsheets for translation and creation of AR. Flicker8k2023 dataset is an extension of the Arabic Flicker8k dataset available, it was uploaded to GitHub and made public for researches. Methods: An efficient model proposed using deep learning techniques by including two pre-training models (VGG16 and VGG19), to extract features from the images and build (LSTM and GRU) models to process textual prediction sequence. In addition to the effect of pre-processing the text in Arabic. Results: The adopted model outperforms better compared to the previous study in BLEU-1 from 33 to 40. Conclusions: This paper concluded that the biggest problem is the database available in the Arabic language. This paper has worked to increase the size of the text database from 24,276 to 32,364 thousand captions, where each image contains 4 captions.

User Sentiment Analysis Based on Securities Application Elements.

Designing securities applications for mobile devices is challenging due to their inherent complexity, necessitating improvement through the analysis of online reviews. However, research applying deep learning techniques to the sentiment analysis of Korean text remains limited. This study explores the use of Aspect-Based Sentiment Analysis (ABSA) as an effective alternative to traditional user research methods for securities application design. By analyzing large volumes of text-based user review data of Korean securities applications, the study identifies critical elements like "update", "screen", "chart", "login", "access", "authentication", "account", and "transaction", revealing nuanced user sentiments through techniques such as PMI, SVD, and Word2Vec. ABSA offers deeper insights compared to overall ratings, uncovering hidden areas of dissatisfaction despite positive biases in reviews. This research demonstrates the scalability and cost-effectiveness of ABSA in mobile-application design research.

An innovative linked Electronic Health Record derived data ecosystem for understanding the complexities of health and ageing.

ObjectiveWe describe the creation of an Electronic Health Record (EHR) derived linked data platform within the Australian National Centre for Healthy Ageing (NCHA). ApproachOur approach involved establishing a core set of EHR data suitable for research from the sole public health provider within a defined geographic region. Relevant items were selected based on published literature and consensus processes and curated within a specialised research data warehouse. Curation involved: data validation, quality assessment, internal linkage between episodes and data harmonisation/merging. An AI supported natural language processing pipeline was implemented to extract text-based data. Approvals were obtained from government agencies to link commonwealth claims data (primary care, medication, aged care, death) and state administrative hospital data, for all residents aged ≥60 years. Publicly available datasets were scoped for inclusion and collaborations established to incorporate local council data. ResultsA core of 113 curated items for &gt;900,000 people over 10 years have been established across 4 hospitals and 10 community/outpatient services. Linked state and commonwealth data were obtained for 179,089 residents aged &gt;60 years (Jan 2010-May 2021, linkage accuracy 98.4%). Environmental (greenery, air pollution, walkability) and Census data have been incorporated for each neighbourhood (Statistical Area 1). Data access, extraction and release has been tested through over 30 use-case projects in: dementia, residential aged care, medication use, homelessness, environmental impacts on health and ageing and health service redesign. ImplicationsThe NCHA Data Platform provides an international exemplar for the use of linked EHR data in advancing population health research.

StethoSpeech: Speech Generation Through a Clinical Stethoscope Attached to the Skin

We introduce StethoSpeech, a silent speech interface that transforms flesh-conducted vibrations behind the ear into speech. This innovation is designed to improve social interactions for those with voice disorders, and furthermore enable discreet public communication. Unlike prior efforts, StethoSpeech does not require (a) paired-speech data for recorded vibrations and (b) a specialized device for recording vibrations, as it can work with an off-the-shelf clinical stethoscope. The novelty of our framework lies in the overall design, simulation of the ground-truth speech, and a sequence-to-sequence translation network, which works in the latent space. We present comprehensive experiments on the existing CSTR NAM TIMIT Plus corpus and our proposed StethoText: a large-scale synchronized database of non-audible murmur and text for speech research. Our results show that StethoSpeech provides natural-sounding and intelligible speech, significantly outperforming existing methods on several quantitative and qualitative metrics. Additionally, we showcase its capacity to extend its application to speakers not encountered during training and its effectiveness in challenging, noisy environments. Speech samples are available at https://stethospeech.github.io/StethoSpeech/.

A Novel Hybrid Attention-Based Dilated Network for Depression Classification Model from Multimodal Data Using Improved Heuristic Approach

Automatic depression classification from multimodal input data is a challenging task. Modern methods use paralinguistic information such as audio and video signals. Using linguistic information such as speech signals and text data for depression classification is a complicated task in deep learning models. Best audio and video features are built to produce a dependable depression classification system. Textual signals related to depression classification are analyzed using text-based content data. Moreover, to increase the achievements of the depression classification system, audio, visual, and text descriptors are used. So, a deep learning-based depression classification model is developed to detect the person with depression from multimodal data. The EEG signal, Speech signal, video, and text are gathered from standard databases. Four stages of feature extraction take place. In the first stage, the features from the decomposed EEG signals are attained by the empirical mode decomposition (EMD) method, and features are extracted by means of linear and nonlinear feature extraction. In the second stage, the spectral features of the speech signals from the Mel-frequency cepstral coefficients (MFCC) are extracted. In the third stage, the facial texture features from the input video are extracted. In the fourth stage of feature extraction, the input text data are pre-processed, and from the pre-processed data, the textual features are extracted by using the Transformer Net. All four sets of features are optimally selected and combined with the optimal weights to get the weighted fused features using the enhanced mountaineering team-based optimization algorithm (EMTOA). The optimal weighted fused features are finally given to the hybrid attention-based dilated network (HADN). The HDAN is developed by combining temporal convolutional network (TCN) with bidirectional long short-term memory (Bi-LSTM). The parameters in the HDAN are optimized with the assistance of the developed EMTOA algorithm. At last, the classified output of depression is obtained from the HDAN. The efficiency of the developed deep learning HDAN is validated by comparing it with various traditional classification models.

A Conceptual Study of Charakokta Visha Vega and Chikitsa

Whenever a person is exposed to Visha, it follows a course of Visha vega before causing the death of the person. Aim: To study the eight visha vega according to Acharya Charaka along with Veganusar chikitsa. Objective: To study different Dravya and Karma used during eight Visha vega management. Material &amp; methods: For this review eight Visha vega will be analysed from the Charaka Samhita. For the study of Dravya used, Rasapanchaka and their corresponding pharmaceutical studies would be obtained from Dravyaguna text and CCRAS plant database, API, PubMed, Google Scholar, and Ayurvedic text. Discussion: Acharya Charaka mentioned 8 Vega of Visha or 8 stages of Visha along with their symptoms in each Vega and also their management in every Vega. Every Vega represents a Dhatu which visha enter by crossing over the respective kala with the force of Vayu as per Acharya Sushurta known as Vegantara. Also the symptoms in each Vega are of the Dhatu in which it resides and produces the symptoms according to its respective Dhatu. After analysing the Raspanchak of Dravya’s used during Vega most of the dominant Rasa was Tikta and Katu, Laghu ruksha guna, Katu vipaka and Ushna veerya respectively. Conclusion: After their Raspanchak evaluation it was concluded that the dominant Rasa was Tikta and Katu, Laghu ruksha guna, Katu vipaka and Ushna veerya. So it is can be said that the drugs used during treatment, are similar in properties to the Visha. These Dravya’s used possess the same potential similar to visha to fight against the Visha, so that it can reach the places where visha has been placed in the body and use in present times as per the complexities of visha. And the Hetuvipritarthkari chikista siddhant is also established in terms of Visha chikitsa.

Enhancing kNN classification with crow search optimization for dynamic text-based data categorization

Enhancing kNN classification with crow search optimization for dynamic text-based data categorization

Current Status of Research on the Treatment of Insomnia with Acupuncture

Insomnia is a non-organic sleep disorder that currently affects the quality of life of people around the globe, and has received widespread attention at home and abroad. Current treatments such as psychotherapy, medication, and physical therapy can improve patients' sleep quality, but they have drawbacks such as high price, drug resistance, and easy to damage the skin, whereas acupuncture has significant efficacy, few side effects, low price, and ease of use in the treatment of insomnia. Acupuncture is widely recognised in the treatment of insomnia, and research on different acupuncture therapies is increasing year by year. By searching the Chinese Journal Full Text Database (CNKI), Wanfang Database and PubMed Database, relevant clinical randomised controlled trials of acupuncture for insomnia in the past 6 years were included for generalisation and summary, aiming to provide clinicians with new ideas and methods for the treatment of insomnia.

Né ἰατρίνη né μαῖα: i saperi «speciali» della iatromaea/ἰατρόμαια

Abstract Neither ἰατρίνη nor μαῖα: the «special» knowledge of the iatromaea/ἰατρόμαια Especially in the last thirty years both the ἰατρίναι/medicae and the μαῖαι/obstetrices have received particular attention from scholars both for a more precise framing of these female «professions» within activities that are not exclusively manual but also intellectual, and in order to reconstruct the legal status, the possibilities of social affirmation and the opportunities of economic income of these two specific professional profiles. The subject of analysis here is a figure in its own right, that of the iatromaea/ἰατρόμαια, a term attested by very rare epigraphic mentions in Latin and Greek, absent from the databases of papyrus texts and a veritable hapax in literary testimonies. After reviewing the inscriptions that certify the existence of this word and the hypotheses formulated by moderns regarding its possible meaning, the paper attempts to trace the professional profile of this specialist, identifying, through a comparison with the sources, similarities and differences with the other types of therapists and making an interpretative proposal in conclusion regarding the specific knowledge and skills of the iatromaea/ἰατρόμαια.

Clinical efficacy and pain control of diode laser-assisted flap surgery in the treatment of chronic periodontitis:A systematic review and meta-analysis

ObjectiveTo assess the diode laser-assisted periodontal flap surgery's clinical effectiveness and postoperative pain management in treating chronic periodontitis, and to offer evidence-based medical justification for the procedure's clinical use. Data sources and study selectionIn this study, a computer combined with manual search was used to search for articles on diode laser-assisted periodontal flap surgery for the treatment of chronic periodontitis published from the establishment of the database to September 2023. The databases searched included China Academic Journal Full Text Database (CNKI), China Biomedical Literature Database (CBM), Chinese Science and Technology Journal Database (VIP), Wanfang Database, PubMed, Web of science, Cochrane Library, Embase, and Scopus. Two researchers independently performed the screening and study selection, following the inclusion and exclusion standards to extract basic information and required data. Meta-analysis of the included literature was performed using Revman V5.4 software. ResultThirteen articles were analyzed. Meta-analysis showed that the use of the diode laser was effective in reducing patients' probing pocket depth (PPD) at 3 and 6 months postoperatively (3 months: MD = −0.46, 95 % CI = [−0.89, −0.03], P = 0.04; 6 months: MD = −0.35, 95 % CI = [−0.63, −0.06], P = 0.02), was able to effectively improve 3 month clinical attachment level (CAL) (MD = −0.36, 95 % CI = [−0.66, −0.06], P = 0.02), and was able to promote wound healing and reduce patients' early postoperative pain (MD = 0.67, 95 % CI = [0.01, 1.32], P = 0.05; MD = −1.67, 95 % CI = [−2.23, −1.00], and P < 0. 001), while for gingival index (GI), the use of diode laser did not have a significant effect. ConclusionsThe available evidence suggests that the use of a diode laser adjunct is effective in reducing PPD, improving CAL, promoting wound healing, and reducing early postoperative pain in patients compared with flap application alone; however, for GI, diode lasers did not show any improvements. Clinical significancePeriodontal flap surgery fails to eliminate microorganisms from the soft tissue wall, potentially leading to recolonization, reinfection, and accompanying side effects such as pain and swelling. The use of a diode laser reduces PPD, improves CAL, and relieves early postoperative pain.

Отруєння фосфором як професійне та екологічно обумовлене захворювання в умовах війни у світлі рекомендацій Міжнародної організації праці 2022 року

Abstract. The issue of diagnosis, registration and monitoring of diseases related to phosphorus poisoning is extremely important, taking into account Russia’s use of phosphorous ammunition on the territory of Ukraine. The system of recognition and monitoring of occupational and environmentally determined diseases needs to be adapted to modern requirements of European legislation. Aim. Analysis of the system for determining occupational phosphorus poisoning in Ukraine and its comparison with modern requirements of The International Labor Organization. Materials and Methods. The analytical review of scientific publications is carried out using abstract databases of scientific libraries PubMed, Medline and text databases of scientific publishers Pub Med, Central, BMJ group and other VIP databases. The analysis of reporting materials of The State Labor Service of Ukraine (SLSU), methodological approaches of The International Labor Organization (ILO) is carried out. Methods of system, comparative, and content analysis are used. Results. The results obtained in the study indicate an extremely low prevalence of toxic lesions of occupational and environmentally determined genesis in Ukraine: chemical intoxication accounts for less than 0.2% in the structure of occupational diseases, and phosphorus poisoning has not been registered in the last 20 years. Significant discrepancies were found in the system of recognition of occupational phosphorus poisoning in Ukraine in comparison with the methodological recommendations of The International Labor Organization-2022. In contrast to the instructions for the application of the list of occupational diseases (LOD) of The International Labor Organization-2022, similar documents in Ukraine do not provide a characteristic of phosphorus properties, its toxicological profile, the minimum duration of exposure that causes occupational disease, the duration of the latent period, which complicates the recognition of occupational diseases, objectification of the diagnosis, and also leads to a distortion of statistical indicators regarding occupational morbidity. Conclusions. The recognition system of occupational phosphorus poisoning in Ukraine needs to be adapted to the European recommendations and requirements recommended by the ILO. First of all, this concerns the list of occupational diseases and instructions for its use, bringing them to the norms of international legislation will allow unifying the diagnostic system, objectifying it and establishing a system for registering occupational diseases at the proper level. The problem is particularly relevant given the high risk of phosphorus intoxication of the population, military and certain professional groups on the territory of military operations in Ukraine. Keywords: phosphorus, occupational poisoning, military operations, list of occupational diseases.

Multimodal deep learning for dementia classification using text and audio

Dementia is a progressive neurological disorder that affects the daily lives of older adults, impacting their verbal communication and cognitive function. Early diagnosis is important to enhance the lifespan and quality of life for affected individuals. Despite its importance, diagnosing dementia is a complex process. Automated machine learning solutions involving multiple types of data have the potential to improve the process of automated dementia screening. In this study, we build deep learning models to classify dementia cases from controls using the Pitt Cookie Theft dataset from DementiaBank, a database of short participant responses to the structured task of describing a picture of a cookie theft. We fine-tune Wav2vec and Word2vec baseline models to make binary predictions of dementia from audio recordings and text transcripts, respectively. We conduct experiments with four versions of the dataset: (1) the original data, (2) the data with short sentences removed, (3) text-based augmentation of the original data, and (4) text-based augmentation of the data with short sentences removed. Our results indicate that synonym-based text data augmentation generally enhances the performance of models that incorporate the text modality. Without data augmentation, models using the text modality achieve around 60% accuracy and 70% AUROC scores, and with data augmentation, the models achieve around 80% accuracy and 90% AUROC scores. We do not observe significant improvements in performance with the addition of audio or timestamp information into the model. We include a qualitative error analysis of the sentences that are misclassified under each study condition. This study provides preliminary insights into the effects of both text-based data augmentation and multimodal deep learning for automated dementia classification.

Effectiveness of Kinesio tape in the treatment of patients with patellofemoral pain syndrome: A systematic review and meta-analysis.

To evaluate the clinical effectiveness of the Kinesio tape in the treatment of patellofemoral pain syndrome (PFPS) by meta-analysis. Two investigators independently conducted an electronic literature search to assess the outcomes of intramuscular patches for PFPS. Electronic databases included PubMed, Embase, Web of Science, Cochrane Library, Wanfang Database, Chinese Journal Full Text Database (CNKI), and Wipo Database from November 2023. Extracted inclusion indicators included pain score VAS or NRS, knee function assessment knee pain syndrome (Kujala) score, and knee symptom score Lysholm knee score scale. Data were extracted and then meta-analyzed using Review Manager 5.3 software and Stata 17.0 software. Fourteen studies were included, all of which were randomized controlled studies. The results showed that short-term pain relief was superior in the Kinesio tape (KT) group compared with the control group, with a statistically significant difference in the results (MD = -1.54, 95% CI [-2.32, -0.76], P = .0001); medium-term pain relief was superior in the KT group compared with the control group, with a statistically significant difference in the results (MD = -0.84, 95% CI [-1.50, -0.18], P = .01); long-term pain relief in the KT group was better than the control group, with statistically different results (MD = -0.56, 95% CI [-0.98, -0.13], P < .00001). In contrast, there was no significant difference between the KT group and the control group in the assessment of knee function (MD = -0.98, 95% CI [-4.03, 2.06], P = .03), and there was no significant difference between the KT group and the control group in the Lysholm knee score scale score of knee symptoms (MD = 4.18, 95% CI [-6.70, 15.05], P = .45). Kinesio taping can effectively relieve the pain of PFPS, but has no significant effect on the improvement of knee joint function and symptoms.

Efficacy and safety evaluation of Allisartan Isoproxil in patients with hypertension: a meta-analysis.

This study aimed to evaluate the effectiveness and safety of Allisartan Isoproxil in the management of hypertension. A comprehensive search was conducted across both English and Chinese databases, including the Cochrane Library, Embase, PubMed, Web of Science, Chinese Journal Full Text Database (CNKI), Wanfang Digital Periodical Full Text Database, and VIP Chinese Periodical Database (VIP), up to March 24, 2024. Randomized controlled trials (RCTs) investigating alisartan axetil for hypertension management were selected. Literature quality was assessed, and data were extracted for meta-analysis using Stata 15.1 software. The quality of evidence for outcome indicators was evaluated using the GRADE system level. Six RCTs involving 767 participants were included. Meta-analysis revealed that, compared to placebo, the Allisartan Isoproxil group exhibited a significant reduction in systolic blood pressure (SBP) [WMD = -8.08, 95% CI (-11.81, 4.10), p = 0.000] and brachial-ankle pulse wave velocity (baPWV) [SMD = -0.69, 95% CI (-1.17, 0.20), p = 0.006]. However, the reduction in diastolic blood pressure (DBP) was not statistically significant [WMD = -5.48, 95% CI (-11.07, 0.10), p = 0.054]. Additionally, compared to calcium channel blockers (CCB) and angiotensin II receptor blockers (ARB), Allisartan Isoproxil did not significantly affect SBP [WMD = 0.20, 95% CI (-3.71, 4.10), p = 0.921] or DBP [WMD = 0.16, 95% CI (-2.11, 2.43), p = 0.891]. Allisartan Isoproxil demonstrated superior effects in increasing nitric oxide (NO) levels and decreasing endothelin (ET) levels compared to control groups [WMD = 9.56, 95% CI (6.42, 12.71), p = 0.000], [WMD = -7.42, 95% CI (-11.13, -3.71), p = 0.000], and showed a higher effective control rate of blood pressure [RR = 1.26, 95% CI (1.13, 1.41), p = 0.000]. Subgroup analysis did not reveal significant differences. Regarding safety, there were no statistically significant differences in adverse events between the Allisartan Isoproxil group and the control groups [RR = 0.99, 95% CI (0.74, 1.32), p = 0.928], and no fatal adverse events were reported. Allisartan Isoproxil is effective in reducing SBP and baPWV, increasing NO, decreasing ET, and achieving a higher control rate of blood pressure in patients with essential hypertension. These benefits are achieved with minimal adverse reactions. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023467869, identifier PROSPERO CRD42023467869.