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De-identified qualitative dataset of Black and Latino young men in Tampa Bay, Florida. Interviews were conducted across three phases of data collection between 2020 and 2023. While semi-structured interview guides were used, questions were iteratively refined to follow emerging themes. The analytic dataset includes participant-level experiential theme tables documenting coded excerpts and representative quotations linked to transcript locations.

Coastal communities like Tampa Bay, Florida, are exposed to multiple natural hazards, including extreme high temperatures and hurricane-related impacts such as wind, storm surge, and precipitation. The seasonality of hurricanes and high temperatures increase the chances of compound flooding-heat events, which can produce greater impacts than either hazard alone. In the future, rising global temperatures and sea levels will further increase the likelihood of these flooding-heat compound events. Nature-based solutions can help reduce the impact of these two hazards, as green spaces lower temperatures, increase infiltration rates, and enhance surface friction, effectively reducing flood propagation and depth. Here, we investigate how nature-based solutions can improve the resilience of coastal communities along Tampa Bay. To do so, we simulate storm surge flooding under different what-if scenarios that include the implementation of nature-based solutions. Nature-based solutions are simulated through different friction coefficients in a flooding model. Flooding maps are overlaid with extreme heat wave data from satellite data to characterize compound hazards at the local scale. Results identify hotspots for flooding and heat risk across Tampa Bay, quantifying the increase in flood depth under various sea rise scenarios, and pinpoint optimal locations for nature-based interventions that reduce compound flood and heat risk. The resulting maps are then used to evaluate how nature-based solutions may reduce risk in vulnerable communities, identified using Socio-Vulnerability Index (SoVI) data. Findings indicate Ana Maria Island is an optimal location to implement a nature-based solution, where flood depths could be reduced by 2.9 km².

Introduction: Irritable bowel syndrome (IBS) is a prevalent chronic functional gastrointestinal disorder characterized by recurrent abdominal pain associated with changes in stool frequency and form, as well as symptoms such as bloating and abdominal distension. Its pathophysiology involves complex mechanisms, including visceral hypersensitivity, altered intestinal motility, microbiota dysbiosis, and neuroimmune modulation within the brain-gut axis. Despite the availability of conventional treatments, IBS management remains challenging due to limited long-term efficacy and treatment-related adverse effects. In this context, acupuncture and electroacupuncture have been investigated as complementary approaches capable of modulating brain-gut communication and improving symptom control. Objective: To evaluate the efficacy of acupuncture therapy in the management of IBS in adults. Methods: This integrative review involved a wide search of main databases (PubMed, Cochrane Library, Scopus and Web of Science), retrieving 1.934 articles, of which 7 were included. The review focused on adults with IBS receiving acupuncture, excluding studies with other comorbidities or non-acupuncture treatments. Article screening was conducted in Rayyan by two blinded researchers, who independently assessed titles and abstracts according to the inclusion and exclusion criteria. After unblinding, discrepancies were resolved by consensus. Data was then systematically extracted using a standardized protocol. Finally, all information was compiled to this present study. Results: Acupuncture was associated with significant improvements in IBS symptom severity, quality of life, and clinical response compared with conventional pharmacological treatments. Studies demonstrated greater reductions in IBS severity scores, higher response rates, and decreased symptom recurrence among patients receiving acupuncture. Comparisons with sham acupuncture presented inconsistent findings, although acupuncture remained a safe and well-tolerated intervention with a low incidence of adverse events. Conclusion: Acupuncture appears to be an effective and safe therapeutic option for IBS, improving symptoms and quality of life. Further high-quality studies are needed to confirm its long-term role in clinical practice. Keywords: Irritable Bowel Syndrome; Acupuncture; Electroacupuncture; Complementary Therapies.

Introduction: Infertility is a critical global health issue with a growing incidence, affecting millions of couples worldwide. Although modern western treatments are effective, they face barriers such as high costs, limited access, and risks of serious complications, such as ovarian hyperstimulation syndrome. Acupuncture stands out as a therapeutic promise because it is a safe and accessible technique. It can potentiate clinical pregnancy rates, reduce anxiety, and balance hormones, in addition to optimizing uterine blood flow. Methods: This integrative review selected 24 studies through searches in four databases - PubMed, Cochrane, Web of Science, and Scopus - totaling 104,117 patients. Independent screening via Rayyan followed the removal of duplicates using Zotero software. Data extraction was performed independently by two researchers using a standardized form to ensure accuracy. Methodological rigor was ensured by the AMSTAR 2, Jadad, and QSAT tools. The complete search strategy was deposited in Mendeley Data, ensuring transparency and total research reproducibility. Results: Analysis of the studies indicates that acupuncture can optimize reproductive medicine outcomes. This impact is particularly relevant regarding clinical pregnancy rates, in which the largest reviewed sample (n=65,388) demonstrated the technique's superiority compared to both placebo (RR 1.31) and the absence of adjuvant treatment (RR 1.25). However, the literature still reflects controversies, with some analyses failing to identify statistical significance when compared to the placebo group. Conclusion: Acupuncture demonstrates therapeutic potential in female infertility, optimizing reproductive outcomes. However, further large-scale studies are still required to consolidate these findings and fill the gaps regarding its application in the treatment of pathologies associated with the male factor. Keywords: “Acupuncture therapy”, “Acupuncture”, “Infertility”, “Adult”, “Men”, “Women”

Introduction: Dry Eye Syndrome (DES) is a multifactorial disease commonly managed with palliative therapies that do not target its underlying pathophysiological mechanisms. Acupuncture has emerged as a complementary therapy with potential neuroimmune and anti-inflammatory effects. Objective: To evaluate the efficacy of acupuncture in the management of DES compared with placebo or conventional treatments. Methods: This is an integrative review conducted using PubMed, Cochrane Library, Scopus, and Web of Science databases through May 2026. Randomized controlled trials, systematic reviews, and meta-analyses evaluating acupuncture in adults with DES were included. Of the 1,128 records identified, 12 studies met the eligibility criteria. Methodological quality was assessed using the QSAT, JADAD, and AMSTAR 2 tools. Results: Acupuncture consistently improved objective outcomes, including tear break-up time (TBUT), Schirmer test scores, and corneal fluorescein staining (CFS), compared with artificial tears. Electroacupuncture and acupuncture combined with conventional therapy further enhanced tear production and treatment response. In contrast, evidence for subjective outcomes, including the Ocular Surface Disease Index (OSDI) and Visual Analog Scale (VAS), remained inconsistent across studies. Reported adverse events were mild, supporting the favorable safety profile of acupuncture. Conclusion: Acupuncture appears to be a safe and clinically relevant complementary therapy for DES, particularly for improving tear production, tear film stability, and ocular surface integrity. However, the certainty of the evidence is limited by methodological heterogeneity and risk of bias. Further high-quality randomized controlled trials with standardized protocols are needed to confirm its long-term efficacy. Keywords: Acupuncture; Electroacupuncture; Dry Eye Syndrome; Ocular Surface Disease; Therapeutics.

Introduction: Stroke is a leading cause of disability worldwide. Spasticity affects 20% to 40% of survivors, resulting in functional dependence and biopsychosocial impacts. Effective management is challenging, and acupuncture is emerging as an expanding therapeutic alternative. Objective: To evaluate the efficacy of acupuncture in treating post-stroke spasticity in adults. Methods: This integrative review involved a wide search of main databases (PubMed, Cochrane Library, Scopus and Web of Science), retrieving 1.003 articles, of which 13 were included. The review focused on adults with post-stroke spasticity receiving manual acupuncture, scalp acupuncture, and electroacupuncture; excluding studies involving pediatric patients, spasticity resulting from conditions other than stroke, or interventions unrelated to acupuncture. Article screening was conducted in Rayyan by two blinded researchers, who independently assessed titles and abstracts according to the inclusion and exclusion criteria. After unblinding, discrepancies were resolved by consensus. Data was then systematically extracted using a standardized protocol. Finally, all information was compiled to this present study. Results: Most meta-analyses evaluating the efficacy of acupuncture using the Modified Ashworth Scale (MAS) demonstrated significant positive effects in reducing muscle tone. Similarly, assessments using the Fugl-Meyer Assessment (FMA) and the Barthel Index (BI/MBI) yielded significant results favoring the use of acupuncture. Furthermore, according to a 2026 network meta-analysis, the combination of scalp acupuncture and body acupuncture had the highest probability of being the best intervention for reducing MAS (SUCRA = 81.53%) and associated pain (VAS SUCRA = 69.24%). Conclusion: Acupuncture appears to be effective in reducing spasticity, especially when combined with rehabilitation. Larger, multicenter randomized clinical trials following STRICTA and CONSORT guidelines are recommended for greater statistical precision. Keywords: “Acupuncture Therapy”; “Adult”; "Muscle Spasticity"

Supplementary data material for Assessment of Potentially Toxic Element Levels in Honeys from Northeastern Türkiye: Health Risk Analysis and Spatial Distribution Mapping

Qualitative Data Table for "Step Up to Step Down: California Foster Parents’ Perspectives on Supporting Youth Transitioning from Congregate Care"

This dataset contains anonymized responses from a questionnaire investigating higher education students' attitudes toward the use of Generative Artificial Intelligence (GenAI) in learning. The survey examines students' perceptions, experiences, and acceptance of GenAI technologies as learning support tools, together with their views on personalization, engagement, learning effectiveness, decision-making support, ethical concerns, and future educational applications. The questionnaire was administered to university students enrolled in higher education programs. All responses were collected anonymously and contain no personally identifiable information. The dataset includes: - demographic characteristics of respondents (e.g., gender, age group, field of study, academic level); - previous experience with Generative AI tools; - frequency and purpose of GenAI use in learning; - Likert-scale responses measuring attitudes toward GenAI-assisted learning; - perceived educational benefits and challenges; - perceptions of personalization, engagement, and decision-support capabilities; - concerns related to academic integrity, privacy, bias, and over-reliance on AI; - coding rules for questionnaire variables. The dataset is intended to support research on artificial intelligence in education, technology acceptance, digital learning, educational decision support, and cognitive computing. It may also be used for statistical analysis, machine learning, educational data mining, structural equation modeling, and comparative studies across institutions or countries.

This dataset contains the foundational spatial data matrices and the Python source code (coupling Random Forest-SHAP and Optimal Parameters-based Geographical Detector) utilized for identifying the ecological thresholds and nonlinear driving mechanisms of habitat quality in Enshi Prefecture, China (2000-2025).