bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of turmeric (Curcuma longa) supplementation on glucose metabolism in diabetes mellitus and metabolic syndrome: An umbrella review and updated meta-analysis
Authors: Pathomwichaiwat Thanika , Jinatongthai Peerawat , Prommasut Napattaoon , Ampornwong Kanyarat , Rattanavipanon Wipharak , Nathisuwan Surakit , Thakkinstian Ammarin 
Published: July 2023

Aims
This study aims to comprehensively review the existing evidence and conduct analysis of updated randomized controlled trials (RCTs) of turmeric (Curcuma longa, CL) and its related bioactive compounds on glycemic and metabolic parameters in patients with type 2 diabetes (T2DM), prediabetes, and metabolic syndrome (MetS) together with a sub-group analysis of different CL preparation forms.

Methods
An umbrella review (UR) and updated systematic reviews and meta-analyses (SRMAs) were conducted to evaluate the effects of CL compared with a placebo/standard treatment in adult T2DM, prediabetes, and MetS. The MEDLINE, Embase, The Cochrane Central Register of Control Trials, and Scopus databases were searched from inception to September 2022. The primary efficacy outcomes were hemoglobin A1C (HbA1C) and fasting blood glucose (FBG). The corrected covered area (CCA) was used to assess overlap. Mean differences were pooled across individual RCTs using a random-effects model. Subgroup and sensitivity analyses were performed for various CL preparation forms.

Results
Fourteen SRMAs of 61 individual RCTs were included in the UR. The updated SRMA included 28 studies. The CCA was 11.54%, indicating high overlap across SRMAs. The updated SRMA revealed significant reduction in FBG and HbA1C with CL supplementation, obtaining a mean difference (95% confidence interval [CI]) of –8.129 (–12.175, –4.084) mg/dL and –0.134 (–0.304, –0.037) %, respectively. FBG and HbA1C levels decreased with all CL preparation forms as did other metabolic parameters levels. The results of the sensitivity and subgroup analyses were consistent with those of the main analysis.

Conclusion
CL supplementation can significantly reduce FBG and HbA1C levels and other metabolic parameters in T2DM and mitigate related conditions, including prediabetes and MetS.

Trial registration
PROSPERO (CRD42016042131).
Does Daylight Saving Time in the Southern United States Save Energy? – Evidence from a Natural Experiment in Arizona
Authors: Li Chenghao 
Published: July 2023

Abstract
This paper investigates why Arizona does not implement Daylight Saving Time based on energy consumption in the Southern states of the United States. Daylight Saving Time is a practice of adjusting clocks to extend daylight during the day, which can affect energy usage and conservation. While Daylight Saving Time is commonly believed to save energy, Arizona has been exempt from it since 1968, citing concerns of increased energy consumption due to longer daytime. This study employs synthetic control to construct a synthetic Arizona with Daylight Saving Time and compare it with Arizona without Daylight Saving Time. This paper provides evidence supporting the Daylight Saving Time exemption in Arizona by analyzing state-level panel data on energy consumption and related factors.
Parent-Reported Clinical Utility of Pediatric Genomic Sequencing
Authors: Smith Hadley Stevens , Ferket Bart S. , Gelb Bruce D. , Hindorff Lucia , Ferar Kathleen D. , Norton Mary E. , Sahin-Hodoglugil Nuriye , Slavotinek Anne , Lich Kristen Hasmiller , Berg Jonathan S. , Russell Heidi V. 
Published: July 2023

BACKGROUND AND OBJECTIVES
Genomic sequencing (GS) is increasingly used for diagnostic evaluation, yet follow-up care is not well understood. We assessed clinicians’ recommendations after GS, parent-reported follow-up, and actions parents initiated in response to learning their child’s GS results.

METHODS
We surveyed parents of children who received GS through the Clinical Sequencing Evidence Generating Research consortium ∼5 to 7 months after return of results. We compared the proportion of parents who reported discussing their child’s result with a clinician, clinicians’ recommendations, and parents’ follow-up actions by GS result type using χ2 tests.

RESULTS
A total of 1188 respondents completed survey measures on recommended medical actions (n = 1187) and/or parent-initiated actions (n = 913). Most parents who completed recommended medical actions questions (n = 833, 70.3%) reported having discussed their child’s GS results with clinicians. Clinicians made recommendations to change current care for patients with positive GS results (n = 79, 39.1%) more frequently than for those with inconclusive (n = 31, 12.4%) or negative results (n = 44, 11.9%; P &lt; .001). Many parents discussed (n = 152 completed, n = 135 planned) implications of GS results for future pregnancies with a clinician. Aside from clinical recommendations, 13.0% (n = 119) of parents initiated changes to their child’s health or lifestyle.

CONCLUSIONS
In diverse pediatric clinical contexts, GS results can lead to recommendations for follow-up care, but they likely do not prompt large increases in the quantity of care received.
STRUCTURAL DYNAMIC OF SEAGRASS COMMUNITIES IN THE PHU QUOC ISLAND (KIEN GIANG PROVINCE)
Authors: Huong Tu Thi Lan 
Published: July 2023

Three seagrass species at eight sites in the Phu Quoc island (Kien Giangprovince) were surveyed using the quadrat sampling method in May 2006, September and December 2007. Density, biomass ofthree species and environmental factors were analyzed to determine dynamics and correlation using ANOVA - two factor. ANOVA showed that temperatures, turbidirty, rain fall influence seagrass density as well as biomass. Three seagrass species reached maximum shoot density and biomass in December (dry season) anddecline in May (rainy season). Average total biomass ofseagrasses ranged from 210 DWg/m2 (Enhalus acoroides); 225.52 DWg/m2 (Cymodocea serrulata); 239.23 DWg/m2 (Thalassia hemprichii). Average shoot density ofEnhalus acoroides: 74 shoots/m2; Thalassia hemprichii: 520 shoots/m2; Cymodocea serrulata: 774 shoots/m2.
Overview of major cutaneous and subcutaneous skin problems in horses and their associated risk factor in and around Bishoftu town
Authors: Alemayo Negera , Soressa Bakala , Bikila Abebe 
Published: July 2023

Horses are the most important animals in the packing and transport systems of Ethiopia. Though disease and related problems are significant impediments to their performance, their socioeconomic contribution is frequently undervalued; as a result, their welfare is severely jeopardized. As a result, this cross-sectional study was carried out to identify the major skin problem of working horses in and around Bishoftu town, as well as associated risk factors. A total of 414 working horses were considered for the study. Selected horses were clinically examined for visible skin lesions, and a questionnaire survey was performed simultaneously. The overall prevalence of skin problems was found to be 60%. In decreasing order, the skin problems recorded in the study were wound (41.3%), epizootic lymphangitis (16.4%), and sarcoids (1.9%). There was a significant difference (x2 = 15.66, p 0.05) in the prevalence of wounds among different body condition scores; horses in poor body condition were more exposed to wounds than horses in better body condition. There was a significant difference (p 0.05) in the prevalence of wound up by age group, indicating that horses in their senior years were particularly vulnerable. Injuries caused by an improper harness and saddle design were more prevalent (x2 = 409.93, p = 0.000). A slightly higher proportion of wounds was encountered in the chest area of the body (24%). There was a significant difference (x2 = 4.0028, p 0.05) in the prevalence of epizootic lymphangitis depending on the type of work that indicated that cart horses were more highly affected than pack horses. But there was no significant difference based on age, body condition score, or housing system. There was a significant difference in the prevalence of sarcoids between horses that had been sheltered and those that had not; the non-sheltered horses had a significantly higher prevalence than the sheltered horses. The anatomical distribution of the occurrence of wounds on the horses was found to indicate an association between areas of harnessing, packing, and inappropriate hobbling. This study showed wounds as a major skin problem for working horses in the region. A comprehensive equine health programme should be implemented in order to alleviate the prevailing problem.
predictors need for complementary interventions using mobile application technology in women with breast cancer
Authors: Dewi Inggriane , Tri Widianti Anggriyana , Fatmawati Ariani , Wulandari Silfia , Indah Sarirudi Tita 
Published: July 2023

Background. Some women with breast cancer tend to have psycho-social stress, embarrassment from the disease’s treatment, and difficulty asking for help. Furthermore, several studies indicate limited use of complementary online intervention in mental and spiritual health care, particularly when using mobile-based technologies.
Purpose. This study identifies the key factors that affect the need for mobile-app complementary interventions and the variables affecting them among Indonesian breast cancer patients.
Methods. A cross-sectional survey study with a simple random sampling technique included 112 patients between May and July 2022. The research instrument used is The Quality of Life-Breast Cancer questionnaire, Functional Assessment of Chronic Illness Therapy–Spiritual Well-Being (FACIT-Sp), Palliative Performa Scale Version 2, and The Need for Complementary Interventions using mobile-app technology (NCIM) to measure Predictors of The Need for Complementary Interventions. Meanwhile, multiple linear stepwise regression was used, and the potential multicollinearity effects among NCIM predictive variables were assessed through the collinearity analysis of variable inflation factors.
Results. The mean score of NCIM was 25.17 and ranged from 10 to 40, and multiple regression analysis showed that the psychological and social dimensions of quality of life, as well as Facit-Sp, significantly affected the NCIM. This explains 8.5% of the total variance in the need for Mobile-app Complementary Intervention.
Conclusion. Women with breast cancer have a high need for complementary interventions based on mobile technology. This study can provide the development of complementary intervention using mobile application technology.
Effectiveness of m-health based self-management on self-efficacy in patients with cancer: A systematic review and meta-analysis
Authors: Anakotta Olivya , Rochmawati Erna , Saidi Sanisah Binti 
Published: July 2023

Introduction: M-health has been developed and tested through studies in various settings and found was useful for providing knowledge and experience for nurses in cancer care settings. However, none has synthesized the effectiveness of m-health on self-management of patients with cancer. To evaluate the effect of interventions using mobile-based application on patient’s self-management. Outcome measures were patients’ medical adherence, self-efficacy and self-management level and health literacy.
Method: The review is reported in accordance with the guidelines of the PRISMA statement. A systematic was conducted in five databases. Randomized controlled trials and quasi-experimental trial were eligible for inclusion.
Results: Eight studies were including. There was no significant effect on self-efficacy after interventions using mobile-based applications (SMD = 0.36, CI 95%, [ 0.16, 0.56 ], p < 0.00006). Qualitative synthesis shows that the use of m-health can improve changes in health behavior, health literacy and physical activity.
Conclusion: M-health app interventions may improve self-efficacy in cancer patients. Meanwhile, changes in health behavior in patients can be significantly improved using m-health based self-management. M-health can be integrated into health services for the management of patients with cancer.
Discovering the perceived social benefits of young peoples’ involvement in juvenile sports clubs including sports clubs’ friends and club involvement as perceived by youth members
Authors: Hogan Conor 
Published: July 2023

Abstract
By young people participating in sport they are experiencing many holistic benefits that are not only physical in nature but also beneficial to their social lives. For almost a century and a half young Irish sports participants have had the opportunity to participate in their native team games of hurling, camogie, and Gaelic football. Although volunteer-led and unprofessional sports for young and adult athletes alike, their governing bodies provide young people with an informal yet organised avenue to experience real-life socialisation with their peers and adult leaders. This paper seeks to establish the perceived social benefits of young peoples’ involvement in juvenile sports clubs including sports clubs’ friends and club involvement as perceived by youth members. As a result of this research, it is obvious that the respondents of this study (who identify as females and males only between the ages of 11 and 18 years of age) feel that having fun, being friends, and having respect for teammates are a social benefit. Adopting these practices will also help with sports success. Another notable outcome of this study showed that the young people researched could be good friends and would be dependable for the respondents if required by them in their lives. They felt happy because of the socialisation that they were experiencing as a result of being involved in their sporting clubs and perceived those in their social network enhanced their lives.
Gene Variant Analysis for the Detection of Hemophilia: A Literature Review
Authors: Sumathi N. , Kumari K. Anitha 
Published: July 2023

Background::
Proteins act as clotting factors to stop bleeding at the lesion site.
This implies that people with hemophilia tend to bleed longer after an injury and are more
prone to internal bleeding. Depending on the type of hemophilia, individuals with hemophilia
will have lesser amounts of factor VIII or factor IX than people without it.

Objective::
By analyzing the gene variant of hemophilia affected patient we can predict the severity
of disease at earlier stage which helps to avoid further complications.

Methods::
Predicting hemophilia can be achieved through potential technologies like machine
learning. Using these technologies, one can detect and predict the severity of hemophilia, such
as mild, moderate, or severe.

Results::
y comparing the methods used in protein structure analysis, the advantages and limitations
of methods used in protein structure analysis are discussed.

Conclusion::
The best practices in predicting hemophilia are highlighted in this study and particularly
aim at the basic understanding of applying the potential technologies in the prediction
of hemophilia and its severity. This study represents recent research on hemophilia and the use
of different machine learning techniques (MLT) in this area.
Real-World Adherence and Effectiveness of Remote Patient Monitoring Among Medicaid Patients With Diabetes: Retrospective Cohort Study
Authors: Park Sulki , Kum Hye-Chung , Zheng Qi , Lawley Mark A 
Published: July 2023

Background
The prevalence of diabetes in the United States is high and increasing, and it is also the most expensive chronic condition in the United States. Self-monitoring of blood glucose or continuous glucose monitoring are potential solutions, but there are barriers to their use. Remote patient monitoring (RPM) with appropriate support has the potential to provide solutions.

Objective
We aim to investigate the adherence of Medicaid patients with diabetes to daily RPM protocols, the relationship between adherence and changes in blood glucose levels, and the impact of daily testing time on blood glucose changes.

Methods
This retrospective cohort study analyzed real-world data from an RPM company that provides services to Texas Medicaid patients with diabetes. Overall, 180 days of blood glucose data from an RPM company were collected to assess transmission rates and blood glucose changes, after the first 30 days of data were excluded due to startup effects. Patients were separated into adherent and nonadherent cohorts, where adherent patients transmitted data on at least 120 of the 150 days. z tests and t tests were performed to compare transmission rates and blood glucose changes between 2 cohorts. In addition, we analyzed blood glucose changes based on their testing time—between 1 AM and 10 AM, 10 AM and 6 PM, and 6 PM and 1 AM.

Results
Mean patient age was 70.5 (SD 11.8) years, with 66.8% (n=255) of them being female, 91.9% (n=351) urban, and 89% (n=340) from south Texas (n=382). The adherent cohort (n=186, 48.7%) had a mean transmission rate of 82.8% before the adherence call and 91.1% after. The nonadherent cohort (n=196, 51.3%) had a mean transmission rate of 45.9% before and 60.2% after. The mean blood glucose levels of the adherent cohort decreased by an average of 9 mg/dL (P=.002) over 5 months. We also found that variability of blood glucose level of the adherent cohort improved 3 mg/dL (P=.03) over the 5-month period. Both cohorts had the majority of their transmissions between 1 AM and 10 AM, with 70.5% and 53.2% for the adherent and nonadherent cohorts, respectively. The adherent cohort had decreasing mean blood glucose levels over 5 months, with the largest decrease during the 6 PM to 1 AM time period (30.9 mg/dL). Variability of blood glucose improved only for those tested from 10 AM to 6 PM, with improvements of 6.9 mg/dL (P=.02). Those in the nonadherent cohort did not report significant changes.

Conclusions
RPM can help manage diabetes in Medicaid clients by improving adherence rates and glycemic control. Adherence calls helped improve adherence rates, but some patients still faced challenges in transmitting blood glucose levels. Nonetheless, RPM has the potential to reduce the risk of adverse outcomes associated with diabetes.
Agriculture as a Catalyst for New Forms of Urban Habitat in Residential Architecture. A Case of Multi-Family and Mixed Housing Estates from 2010–2021 – European, American and Asian Context
Authors: Kleszcz Justyna 
Published: July 2023

Abstract
The article presented herein constitutes a research summary on urban, residential housing forms connected with agriculture developed in the years 2010–2021 throughout Northern America, Asia and Europe. The presented research was aimed at a comprehensive and comparative analysis of contemporary architecture, concerning new spatial phenomenon, analysing both the external form and the internal structure – formal and functional, of the resulting housing development. The method of global sampling was chosen as the possible examples of housing estates related to greenery or agriculture are spread worldwide. The paper aims to identify the main trends in creating a new form of urban living and to find the main points generating changes in the structure of buildings in connection with urban agriculture. Seven case studies were selected for the study, relating to both conceptual and already completed projects, showing a number of differences between the theoretical approach and its implementation, both in terms of the adopted assumptions and parameters of the obtained space in relation to housing estates combining architecture and greenery from that period. Case studies from Asia, North America and Europe created a background for comparison with the first Polish example of this type of development, located in Poznań.
Sentiment Analysis Framework using Deep Active Learning for Smartphone Aspect Based Rating Prediction
Authors: Muralidhar Rathan , Hulipalled Vishwanath R 
Published: July 2023

Abstract
Social media are a rich source of user generated content where people express their views towards the products and services they encounter. However, sentiment analysis using machine learning models are not easy to implement in a time and cost effective manner due to the requirement of expert human annotators to label the training data. The proposed approach uses a novel method to remove the neutral statements using a combination of lexicon based approach and human effort. This is followed by using a deep active learning model to perform sentiment analysis to reduce annotation efforts. It is compared with the baseline approach representing the neutral tweets also as a part of the data. Considering brands require aspect based ratings towards their products or services, the proposed approach also categorizes predicting ratings of each aspect of mobile device.
Possible Scenarios of the Evolution of the Russian-Ukranian War from the Perspective of the Gerasimov Doctrine
Authors: Grigore Laurențiu , Bojor Laviniu 
Published: July 2023

Abstract
In this article, we conduct an objective analysis of the Russian-Ukrainian war from the perspective of strategic military art. We start by formulating five working hypotheses, which are anchored in the reality of the battlefield and extended to the economic, diplomatic and technical-scientific domains. The Gerasimov doctrine represents the basis for interpretation of all the actions and activities carried out by the Russians in this confrontation and a strong point in drawing real and probable conclusions. We believe that an interpretation of the war outside this doctrine is an erroneous process, false and unrelated to scientific research. The Russian Federation, although the heir of the former USSR and furthermore of the Tsarist Empire, thinks and acts in a completely different way after the year 2000. In this regard, the military action conducted between Ukraine and Russia is supporting the economic actions directed against other military and economic powers and China plays an essential role in this global economic and political confrontation. This scientific approach highlights a new way of understanding the current and future military phenomenon and represents a starting point for other studies related to this theme..
Technology During the Post-Pandemic Era: Adaptation or Limitation?
Authors: Duralia Daniela 
Published: July 2023

Abstract
According to The Guardian, “Professors, programmers and journalists could all be out of a job in just a few years” [1]. In North America, long before the pandemic, some high schools (both public and private) replaced books and notebooks with laptops. In universities, the students preferred listening to the recordings of the lectures taken on their computers or phones instead of actively taking notes during the classes. Technology has been the topic of many debates among teachers, parents, and students. Seen both advantageous and disadvantageous, technology in the classroom has become indispensable to teaching. Technology has proven to have been the only way out of the pandemic crisis regarding business and education. The trend in the education field in a post-pandemic context resulted from a blend between teaching approaches and technology use. However, in a post-pandemic context, this trend has been seen as one of the central factors leading to an increase in the lack of inperson socialization for youths and a principal distraction from their studies. Moreover, the development of more advanced software (A.I. Bot ChatGPT) has started to influence the teaching process regarding assignments. However, the real question is how and to what extent the use of technology can be advantageous for students today.