bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect and safety of acupoint thread embedding in treatment of overweight and obese women: study protocol of a randomized controlled trial
Authors: Li Xiying , Zhao Yilin , Gunes Aylin , Li Guancheng , Xia Jingyu , Zheng Huimin , Jin Qi , Xu Wenqing , Xu Shifen , Yin Xuan 
Published: December 2024

Abstract

Background: Obesity is a major health concern over the world, affecting female’s physical and psychological health. Acupoint thread embedding (ATE) treatment is an innovative method based on Traditional Chinese Medicine (TCM) theories and can provide long term stimulation on acupoints. However, its efficacy for weight-loss among female patients remains questionable primarily due to insufficient high-level evidence.
Methods: This is a patient-assessor-blinded, randomized, sham controlled clinical trial that will conduct in a TCMhospital in Shanghai. A total of 132 eligible participants will be randomly assigned to either group, receiving ATE with health education or sham ATE with health education. Participants will receive 6 sessions of real or sham ATE intervention once in every 2 weeks for 12 weeks, with an additional 12 weeks of follow-upperiod. Primary outcome will be the change of body mass index between baseline and end of treatment. Secondary outcomes will include changes in the body weight, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, body fat percentage measured by body composition analyzer, liver stiffness measured by liver elastography, self-rated questionnaires including Impact of Weight on Quality-of-Life-Lite Scale, Visual Analogue Scale of appetite,Well-Being Index and Hamilton Rating Scale for Anxiety, and blood tests results about glucolipid metabolism. All adverse events will be assessed by the treatment emergent symptom scale. Outcomes will be collected at baseline, week 6, week 12 and week 24 during the intervention and follow-up.
Discussion: This study will investigate the effect and safety of ATE in the treatment of overweight and obesity among female patients. The findings of this study will contribute to reveal the therapeutic benefits of ATE in losing weight.
Ethics and dissemination: This trial has received ethical clearance from the Ethics Committee of Shanghai Municipal Hospital of Traditional Chinese Medicine under the registration number 2024SHL-KY-10-01. All participants will provide their written informed consent prior to their enrolment. The findings will be disseminated through peer-reviewed publications and scholarly conferences.
Trial registration number: ClinicalTrials.gov ID: NCT06316310
Differences in Gastrointestinal Motility in Adults with Type 1 and Type 2 Diabetes Using Wireless Motility Capsule
Authors: Garg Samita , Syed Hareem , Elkin Baila , Shah Ravi , Valencia Sara , Bena James , Morrison Shannon , Cline Michael , Lembo Anthony 
Published: December 2024

Abstract

PURPOSE:
Gastrointestinal motility disorders are common in diabetes, though their prevalence and distribution are unclear. The Wireless Motility Capsule (WMC) assesses transit times and pressures of the entire gastrointestinal tract in a single study. This study aimed to evaluate the prevalence, patterns, and factors of gastrointestinal transit abnormalities using WMC in diabetes patients.
METHODS:
This retrospective observational study included Type 1 (T1D) and Type 2 Diabetes (T2D) patients who underwent WMC testing. Whole gut transit time (WGTT), gastric emptying time (GET), small bowel transit time (SBTT), and colon transit time (CTT) were analyzed. Univariate and multivariable analyses identified risk factors for delayed transit.
RESULTS:
A total of 482 patients (mean age of 54.2 years, 74% female) were included. Of these, 20.2% had T1D and 79.8% had T2D. Delayed transit was observed in 75.7% with delayed GET (58.8%) being the most common abnormality. In multivariable analysis, increasing BMI was associated with lower odds of delayed WGTT (OR 0.97 [0.94, 0.99]; p-value < 0.012), while increasing age (OR 1.03 [1.01, 1.04]; p-value < 0.001) and female gender (OR 0.53 [0.32, 0.86]; p-value < 0.011) were associated with increased odds of delayed CTT.
CONCLUSION:
This study highlights the high prevalence of gastrointestinal transit abnormalities in diabetes, with delayed gastric emptying being most common. Risk factors for delayed colonic transit include older age, female gender, and shorter diabetes duration. HbA1C levels were not significantly associated with transit delays. Identifying intestinal dysmotility in diabetes can guide early management strategies to improve outcomes.
Satisfaction survey of early clinical exposure in medical students: a cross-sectional study
Authors: Kachuei Maryam , Rezazadeh Mohammad , Hoseinzadeh Mohammad , Hashemi Akram , Mousavi Ashraf Sadat , Heidari Amirhossein 
Published: December 2024

Abstract

Introduction: Early clinical exposure (ECE), one type of vertical integration model between preclinical and clinical subjects, is a teaching-learning technique that improves early medical students' professionalism. Conventional medical training delays clinical exposure until later years, potentially diminishing students' motivation and confidence. This study aims to evaluate the satisfaction and perception of third-year medical students from the ECE program.
Method: A cross-sectional survey was conducted involving a convenience sample of 93 third-year medical students participating in an ECE program from December to March 2023 in the emergency ward. Data were collected using a validated semi-structured questionnaire, administered immediately after the program and three months later, after the students officially entered the clinical setting. Quantitative and qualitative analyses were conducted to assess students' satisfaction and perceptions.
Results: Out of 93 participants, 80 completed the questionnaire. Most of the students found ECE to be an effective program with a satisfaction rate of over 90% in terms of benefits for the clinical years, helping to adapt to the clinical environment, giving confidence to communicate with supervisors and patients, and taking medical history and physical examination individually or in groups of two or more people. However, results show a significant decrease in the attitude towards the ECE program after entering the hospital (P value = 0.001). Qualitative feedback highlighted the effectiveness of ECE in helping students adapt to the clinical environment, the need for prolonged interaction with supervisors, and the integration of ECE across all courses.
Discussion: The ECE program significantly improved students' initial confidence and adaptability to clinical environments. However, the observed decline in long-term satisfaction suggests a gap between the structured ECE experience and the complexities of real clinical practice. Continuous adaptation and integration of ECE throughout medical training are essential to sustain students' motivation and confidence as they transition to clinical roles.
Comparison of centralised and decentralised operational costs of multi-microgrid systems considering reliability and flexibility criteria
Authors: Abbasi Shahriar 
Published: December 2024

Abstract

The main purpose of formation of multi-microgrid (MMG) in both centralised and decentralised mode is to ensure the microgrid (MG) of providing load-generation balance. Minimising operational cost and maximising profit as well as more efficient and sustainable management in MMGs have been exciting research topics in recent years. However in the previous literature, an accurate and scientific comparison of centralised and decentralised MMGs has still remained as a research gap. Focusing on this gap is the main contribution of the current research; it is focused on comparison of centralised and decentralised MMGs from the operational cost viewpoint, including RESs (PV and WT), fossil fuel generators (FFG), and ESS. Moreover, the operational costs of centralised and decentralised MMGs considering reliability and flexibility criteria will be compared. The study will be done in a test power system with real specifications considering two possible scenarios. The simulations will be done in MATLAB platform using the MATPOWER package and Gurobi solver. The simulations results show that total daily operational cost of centralized MMGs is notably less than this cost in decentralized MMGs. Demand response become better when the MMGs are centrally scheduled. Also the reliability criterion of EENS is less, i.e., the power system becomes more reliable with centralized MMGs. Power losses in centralized MMGs decrease, but the CO2 emission increases.
An Enhanced Adaptive Inductance Estimator for Predictive Current Control Strategy of Grid-tied Inverters
Authors: Li Yanyan , Liu Zhenkun , Guo Leilei , Wu Zhenjun , Wang Yanfeng 
Published: December 2024

Abstract

This article proposes a new adaptive inductance estimator based on a full-order sliding mode virtual flux observer (FOSVFO), dedicating to improve the parameter robustness of predictive current control (PCC) strategy for grid-tied inverters (GTIs). First, the drawback of the sensitivity to grid frequency deviation of the conventional FOSVFO-based inductance estimator is analyzed, and a complex-coefficient filter is creatively introduced to filter the grid voltage. Then, the filtered grid voltage and the observed virtual flux are utilized to design inductance estimator to counteract the effect of frequency deviation. Second, an inductance adaptive law is deduced by a newly designed Lyapunov function, which ensures the inductance estimator operates well with zero active power, overcoming another drawback of the conventional FOSVFO-based inductance estimator. Based on the proposed adaptive inductance estimator, the performance of the PCC for GTIs is improved significantly. Comparative experiments validate the effectiveness and superiority of the proposed techniques.
Spatial rainfall estimation applying machine learning techniques in a semi-arid basin
Authors: Rodríguez-Carrillo Jose Armando , González-Trinidad Julian , Silva-Avalos Raul Ulices , Júnez-Ferreira Hugo Enrique , Moreno-Chavez Gamaliel , Robles-Rovelo Cruz Octavio , Contreras-Rodríguez Ada Rebeca 
Published: December 2024

ABSTRACT

Rainfall is one of the most important meteorological phenomena since it provides water to the Earth's surface, which has a significant impact on the daily life of human beings. Gaining the knowledge of its behavior in a semi-arid basin is an important and challenging task to take advantage of this natural resource, given that water is usually scarce in such regions. Artificial intelligence and machine learning algorithms help to identify rainfall patterns and trends within a region. Multiple linear regression, random forest (RF), support vector machine, and artificial neural network (ANN) algorithms were implemented using daily rainfall data from climatological stations located within the basin using one station as a predictor variable and the remaining ones as input variables. The metrics to evaluate the model were the coefficient of determination (R2), mean absolute error, root mean square error, and the Kling–Gupta efficiency coefficient. The results showed that the daily rainfall prediction is better individually than overall, finding that the models obtained by RF and ANN simulate better daily rainfall in the basin.
Assessment of water quality of the Narmada River (India) using the fuzzy water quality index method
Authors: Rahi Dal Chand , Chandak Rajeev , Vishwakarma Amit 
Published: December 2024

ABSTRACT

This study aims to assess the water quality of the Narmada River utilizing the fuzzy water quality index (FWQI) method. In this context, samples of water were gathered from six stations for various parameters such as turbidity, pH, DO, BOD5, TDS, TSS, COD, EC, TH, TA, and chloride from 2017 to 2022. Due to contamination from urbanization, water quality assessment has become essential. To address this requirement, the water quality index (WQI) was developed which incorporates various water quality parameters and expresses total water quality into a single value. Nowadays, a new method, the FWQI has been developed. To develop FWQI, 11 inputs, single output, Mamdani method, And operators, fuzzy inference rules, and centroid methods for defuzzification have been used. The average values of FWQI at the first, second, third, fourth, fifth, and sixth stations were 61.28, 57.66, 62.18, 61.90, 50.00, and 49.96, respectively. Meanwhile, the average values of WQI for the same stations were 57.98, 57.40, 58.97, 58.85, 48.39, and 49.03. The findings from both methods revealed that water quality was poor at the first four stations and good at the last two stations. This new index could serve as an alternative approach to assessing water quality.
Unveiling Indazole: Novel Synthetic Pathways and Biological Potentials
Authors: Pathak Shilpi , Goswami Anmol , Sharma Kenika 
Published: December 2024

Abstract:
Indazole, a heterocyclic molecule, has emerged as a useful scaffold in synthetic and medicinal
chemistry due to its broad biological activity and ease of synthesis. This article thoroughly
analyzes unique synthetic methods used to diversify indazole derivatives, such as metal-catalyzed
reactions, ecologically friendly approaches, and novel multicomponent reactions. These advances
have increased the efficiency and selectivity of indazole synthesis and its structural variety, paving
the path for new biological applications. Furthermore, indazole-based compounds have demonstrated
promising biological activities, particularly as anticancer, antibacterial, and anti-inflammatory
medicines. This review summarizes the present state of indazole research, focusing on synthetic
techniques and biological features that make indazole an attractive target for future drug discovery.
A Comprehensive Review of Wound Healing Therapies: The Crucial Role of Collagen
Authors: Singh Aniket , Rede Pankhita 
Published: December 2024

Background:
Wound healing is a complex biological process crucial for tissue repair.
Understanding the diverse types and stages of wound healing, molecular factors, and the role of
different collagen types with smart approach is vital for advancing therapeutic strategies.

Objective:
This study aims to comprehensively explore types and stages of wound healing, molecular
factors influencing the process, the involvement of various collagen types, and propose a
smart approach for optimized wound healing. Additionally, it aims to outline future perspectives
in this field.

Method:
A review of literature encompassing wound healing types, stages, molecular factors, collagen
subtypes, and emerging smart wound healing into innovative approaches for controlled
wound healing, focusing on advanced drug delivery systems. Microspheres, diverse nanoparticles,
liposomes, hydrogels, and nanofibers.

Results:
The investigation revealed distinct types of wound healing (such as primary, secondary,
and tertiary), various stages (hemostasis, inflammation, proliferation, remodelling), molecular factors
(growth factors, cytokines), and different collagens (Type I, III, IV) influencing wound repair.
The smart approach involves integrating advanced technologies like smart dressings (nanoparticles,
hydrogels, and nanofibers) and personalized interventions for enhanced healing outcomes.

Conclusion:
Understanding the intricacies of wound healing, the impact of molecular factors, and
the differential roles of collagen types provides a foundation for developing innovative and personalized
smart approaches to wound care. Future perspectives should focus on advancing targeted
therapies, precision medicine, and integrating cutting-edge technologies to revolutionize wound
healing practices. These smart delivery systems offer precise control over drug release kinetics, targeting,
and bioavailability.
Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis: Literature Review
Authors: Downing Gregory J , Tramontozzi Lucas M , Garcia Jackson , Villanueva Emma 
Published: December 2024

Background
The integration of information technology into health care has created opportunities to address diagnostic challenges. Internet searches, representing a vast source of health-related data, hold promise for improving early disease detection. Studies suggest that patterns in search behavior can reveal symptoms before clinical diagnosis, offering potential for innovative diagnostic tools. Leveraging advancements in machine learning, researchers have explored linking search data with health records to enhance screening and outcomes. However, challenges like privacy, bias, and scalability remain critical to its widespread adoption.

Objective
We aimed to explore the potential and challenges of using internet search data in medical diagnosis, with a specific focus on diseases and conditions such as cancer, cardiovascular disease, mental and behavioral health, neurodegenerative disorders, and nutritional and metabolic diseases. We examined ethical, technical, and policy considerations while assessing the current state of research, identifying gaps and limitations, and proposing future research directions to advance this emerging field.

Methods
We conducted a comprehensive analysis of peer-reviewed literature and informational interviews with subject matter experts to examine the landscape of internet search data use in medical research. We searched for published peer-reviewed literature on the PubMed database between October and December 2023.

Results
Systematic selection based on predefined criteria included 40 articles from the 2499 identified articles. The analysis revealed a nascent domain of internet search data research in medical diagnosis, marked by advancements in analytics and data integration. Despite challenges such as bias, privacy, and infrastructure limitations, emerging initiatives could reshape data collection and privacy safeguards.

Conclusions
We identified signals correlating with diagnostic considerations in certain diseases and conditions, indicating the potential for such data to enhance clinical diagnostic capabilities. However, leveraging internet search data for improved early diagnosis and health care outcomes requires effectively addressing ethical, technical, and policy challenges. By fostering interdisciplinary collaboration, advancing infrastructure development, and prioritizing patient engagement and consent, researchers can unlock the transformative potential of internet search data in medical diagnosis to ultimately enhance patient care and advance health care practice and policy.
OS ORGANISMOS INTERNACIONAIS E A REGULAÇÃO DAS POLÍTICAS EDUCACIONAIS BRASILEIRAS (1990-2017): RETROCESSOS E GOLPES NA RECOMPOSIÇÃO DO CAPITAL
Authors: Lameira Aida Patrícia Fernandes , Silva Élido Santiago da 
Published: December 2024

Esse artigo é parte de uma dissertação de mestrado. Tem por objetivo, analisar a influência dos organismos internacionais na regulação da educação pública brasileira entre os anos 1990 e 2017, no intento descobrir como se deu tal influência e se as reformas implementadas nesse último período no Brasil, como a Reforma Trabalhista (Lei 13.467/2017 e a Reforma do Ensino Médio (Lei 13.145/2017), são reflexo dessa influência. Para isso, analisa alguns aspectos da conjuntura político-econômico internacional das décadas de 1970-1990, bem como as diretrizes político-educacionais apontadas por esses organismos internacionais aos países latino-americano, como o Brasi. Os principais aportes teóricos utilizados na fundamentação do trabalho são: Esteves, Souza, (2020); Leher (1999); Jacomeli (2010); Antunes (2018); Ramos (2017). Como metodologia adotou-se a análise documental, analisando documentos oficiais elaborados por esses organismos nesses períodos, além da análise bibliográfica específica. Concluiu-se que os Organismos Internacionais influenciaram as políticas públicas nos anos de 1990 e 2017, os quais foram marcados por pacotes de medidas neoliberais visando a reconfiguração do Estado brasileiro dentro do modelo neoliberal, como demanda da política de recomposição das bases de acumulação capitalista, que levou à implementação de reformas, entre elas, a Reforma Trabalhista (Lei 13.467/2017) e a Reforma do Ensino Médio, (Lei 13.415/2017). Tais achados permitem concluir que o trabalho alcançou os objetivos propostos.
Antônio Carlos, autor de Constituições
Authors: Heráclio do Rêgo André Ricardo 
Published: December 2024

The subject of this article is Antônio Carlos Ribeiro de Andrada, brother of the Patriach of the Independence of Brazil, José Bonifácio de Andrada e Silva. Antônio Carlos played an essential role in the Revolutioin of Pernambuco, in 1817, as well as in the Constitucional Assemblies of Lisbon, in 1821, and of Brazil, in 1823. In these three occasions, he developed a constitucional legacy which influenced the constitutionalisms of both sides of the Atlantic.
Retrospective evaluation of outpatient intravenous ketamine-lidocaine infusions for the palliation of cancer pain in dogs and cats
Authors: Iocolano Kari E. , Looney Andrea , Balkman Cheryl E. , Hume Kelly R. , Boesch Jordyn M. , Sylvester Skylar R. 
Published: December 2024

Abstract

OBJECTIVE
To evaluate the clinical benefit and adverse events following outpatient intravenous (IV) ketamine-lidocaine (KL) infusions for palliation of cancer pain in dogs and cats.

METHODS
Medical records from 15 years (2008 to 2023) were searched and data reviewed retrospectively. Animals were prescribed ketamine (0.15 mg/kg/h) and lidocaine (3 mg/kg/h in dogs and 1.5 mg/kg/h in cats) diluted in 250 mL (cats or dogs < 15 kg) or 500 mL (dogs ≥ 15 kg) of 0.9% saline administered IV at 2.5 mL/kg/h for 4 to 6 hours.

RESULTS
A total of 105 dogs and 9 cats (114 animals) were included. The most common tumor types treated were appendicular osteosarcoma in dogs (n = 45 [43%]) and oral squamous cell carcinoma in cats (4 [44%]). All animals received concomitant oral analgesic medications. Animals received a median of 2 KL infusions (range, 2 to 49 KL infusions). The overall clinical benefit rate was 76% following the first KL infusion, as defined by an improvement in at least 1 evaluated clinical sign. The likelihood of clinical response was improved with a ketamine infusion rate ≥ 2 µg/kg/min, total ketamine dose of ≥ 0.5 mg/kg, and lidocaine infusion rate ≥ 25 µg/kg/min.

CONCLUSIONS
Outpatient IV KL infusions were well-tolerated in dogs and cats with cancer and provided a high rate of clinical benefit when combined with standard anti-cancer and analgesic therapies.

CLINICAL RELEVANCE
Management of cancer pain often requires multimodal analgesia. Given the clinical benefit and minimal toxicity observed with outpatient KL infusions, KL infusions should be considered as an adjunctive treatment to use in combination with anticancer therapy, oral and topical analgesics, and interventional therapies in dogs and cats for palliation of refractory cancer pain from advanced disease.