bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of plyometric training on measures of physical fitness in racket sport athletes: a systematic review and meta-analysis
Authors: Deng Nuannuan , Soh Kim Geok , Abdullah Borhannudin , Huang Dandan 
Published: December 2023

Background
Over the past decade, the popularity of racket sports has surged. Plyometric training (PT) has been the focus of extensive research because of the proven benefits it provides to athletes. However, there is a lack of systematic reviews and meta-analyses specifically evaluating the impact of PT on physical fitness metrics in racket sport athletes. This study aimed to conduct a comprehensive review and analysis of evidence derived from randomized controlled trials (RCTs) to evaluate the effects of PT on measures of physical fitness among racket sports athletes.

Methods
The electronic databases PubMed, Web of Science, SCOPUS, and SPORTDiscus were systematically searched up to June 2023 without placing any restrictions on the publication dates. The PICOS method was adopted to establish the inclusion criteria: (a) healthy athletes who participate in racket sports; (b) a PT program; (c) a control group; (d) assessment of physical fitness components pre- and post-PT; and (e) RCTs. The records’ methodological quality was assessed utilizing the Physiotherapy Evidence Database (PEDro) scale. The certainty in the evidence related to each outcome was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) assessment. A random-effects model was used to calculate effect sizes (ES; Hedges’ g) between experimental and control groups.

Results
There were 14 eligible studies of moderate-to-high-quality, involving 746 athletes in total. The results revealed small-to-moderate effects (p < 0.05) of PT on muscle power (ES = 0.46), muscle strength (ES = 0.50), sprint speed (ES = 0.45), change of direction ability (ES = 0.76), and reaction time (ES = 0.67), while no clear evidence was found on balance and flexibility. The training-induced changes in muscle power showed no significant difference (p > 0.05) between youth (ES = 0.72) and adults (ES = 0.40). There were also similar muscle power improvements (ES = 0.36–0.54 vs 0.38–0.56, all p > 0.05) for a length of ≤7 weeks with ≤14 total PT sessions vs >7 weeks with >14 total PT sessions, and ≤2 weekly sessions vs >2 sessions. No adverse effects were reported in the included studies regarding the PT intervention. The certainty of evidence varied from very low to moderate. Conclusions: Our findings demonstrated that PT has positive effects on important indices of physical fitness among athletes participating in racket sports. Future studies are required to clarify the optimal doses and examine interactions among training variables to further promote the physical fitness of this specific population.
Validation of an algorithm to assess regular and irregular gait using inertial sensors in healthy and stroke individuals
Authors: Ensink Carmen , Smulders Katrijn , Warnar Jolien , Keijsers Noel 
Published: December 2023

Background
Studies using inertial measurement units (IMUs) for gait assessment have shown promising results regarding accuracy of gait event detection and spatiotemporal parameters. However, performance of such algorithms is challenged in irregular walking patterns, such as in individuals with gait deficits. Based on the literature, we developed an algorithm to detect initial contact (IC) and terminal contact (TC) and calculate spatiotemporal gait parameters. We evaluated the validity of this algorithm for regular and irregular gait patterns against a 3D optical motion capture system (OMCS).

Methods
Twenty healthy participants (aged 59 ± 12 years) and 10 people in the chronic phase after stroke (aged 61 ± 11 years) were equipped with 4 IMUs: on both feet, sternum and lower back (MTw Awinda, Xsens) and 26 reflective makers. Participants walked on an instrumented treadmill for 2 minutes (i) with their preferred stride lengths and (ii) once with irregular stride lengths (±20% deviation) induced by light projected stepping stones. Accuracy of the algorithm was evaluated on stride-by-stride agreement of IC, TC, stride time, length and velocity with OMCS. Bland-Altman-like plots were made for the spatiotemporal parameters, while differences in detection of IC and TC time instances were shown in histogram plots. Performance of the algorithm was compared between regular and irregular gait with a linear mixed model. This was done by comparing the performance in healthy participants in the regular vs irregular walking condition, and by comparing the agreement in healthy participants with stroke participants in the regular walking condition.

Results
For each condition at least 1,500 strides were included for analysis. Compared to OMCS, IMU-based IC detection in both groups and condition was on average 9–17 (SD ranging from 7 to 35) ms, while IMU-based TC was on average 15–24 (SD ranging from 12 to 35) ms earlier. When comparing regular and irregular gait in healthy participants, the difference between methods was 2.5 ms higher for IC, 3.4 ms lower for TC, 0.3 cm lower for stride length, and 0.4 cm/s higher for stride velocity in the irregular walking condition. No difference was found on stride time. When comparing the differences between methods between healthy and stroke participants, the difference between methods was 7.6 ms lower for IC, 3.8 cm lower for stride length, and 3.4 cm/s lower for stride velocity in stroke participants. No differences were found on differences between methods on TC detection and stride time between stroke and healthy participants.

Conclusions
Small irrelevant differences were found on gait event detection and spatiotemporal parameters due to irregular walking by imposing irregular stride lengths or pathological (stroke) gait. Furthermore, IMUs seem equally good compared to OMCS to assess gait variability based on stride time, but less accurate based on stride length.
Genome-wide identification and expression analysis of growth-regulating factors in Dendrobium officinale and Dendrobium chrysotoxum
Authors: Zhu Shuying , Wang Hongman , Xue Qiqian , Zou Huasong , Liu Wei , Xue Qingyun , Ding Xiao-Yu 
Published: December 2023

Background
Dendrobium, one of the largest genera in Orchidaceae, is popular not only for its aesthetic appeal but for its significant medicinal value. Growth-regulating factors (GRFs) play an essential role in plant growth and development. However, there is still a lack of information about the evolution and biological function analysis of the GRF gene family among Dendrobiumspecies.

Methods
Growth-regulating factors from Dendrobium officinale Kimura et Migo and Dendrobium chrysotoxum Lindl. were identified by HMMER and BLAST. Detailed bioinformatics analysis was conducted to explore the evolution and function of GRF gene family in D. officinale and D. chrysotoxum using genomic data, transcriptome data and qRT-PCR technology.

Results
Here, we evaluated the evolution of the GRF gene family based on the genome sequences of D. officinale and D. chrysotoxum. Inferred from phylogenetic trees, the GRF genes were classified into two clades, and each clade contains three subclades. Sequence comparison analysis revealed relatively conserved gene structures and motifs among members of the same subfamily, indicating a conserved evolution of GRF genes within Dendrobiumspecies. However, considering the distribution of orthologous DoGRFs and DcGRFs, and the differences in the number of GRFs among species, we suggest that the GRF gene family has undergone different evolutionary processes. A total of 361 cis-elements were detected, with 33, 141, and 187 related to plant growth and development, stress, and hormones, respectively. The tissue-specific expression of GRFs showed that DoGRF8 may have a significant function in the stem elongation of D. officinale. Moreover, four genes were up-regulated under Methyl-jasmonic acid/methyl jasmonate (MeJA) treatment, showing that DoGRFs and DcGRFs play a crucial role in stress response. These findings provide valuable information for further investigations into the evolution and function of GRF genes in D. officinale and D. chrysotoxum.
Diagnostic value of albumin/fibrinogen ratio and C-reactive protein/albumin/globulin ratio for periprosthetic joint infection: a retrospective study
Authors: Ji Wei , Liu Zemiao , Lin Tao 
Published: December 2023

Background
The study aims to explore diagnostic value of albumin/fibrinogen ratio (AFR) and C-reactive protein (CRP)/albumin (ALB)/globulin (GLO) ratio (CAGR) for periprosthetic joint infection (PJI).

Methods
A retrospective analysis was conducted on clinical data collected from 190 patients who had joint replacement surgery in Qilu Hospital of Shandong University (Qingdao), from January 2017 to December 2022. Based on the occurrence of PJI after surgery, patients were divided as an infection group (10 cases) and non-infection group (180 cases). Diagnostic indicators were analyzed, univariate and multivariate logistic regression analyses were further performed to identify factors related to PJI. Sensitivity and specificity of AFR and CAGR, both individually and in combination, were calculated using ROC curves, and their diagnostic performance was compared based on the area under the curve (AUC).

Results
Levels of CRP, ESR, FIB, GLO, and CAGR were significantly higher in the infection group than in non-infection group (P < 0.05). Levels of ALB and AFR were significantly lower in infection group (P < 0.05). Multivariate logistic regression analysis reviewed that CRP (OR = 3.324), ESR (OR = 2.118), FIB (OR = 3.142), ALB (OR = 0.449), GLO (OR = 1.985), AFR (OR = 0.587), and CAGR (OR = 2.469) were factors influencing PJI (P < 0.05). The AUC for AFR and CAGR in diagnosing PJI were 0.739 and 0.780, while AUC for their combined detection was 0.858.

Conclusion
Abnormal levels of AFR and CAGR are associated with PJI, and their combined use has certain diagnostic value for PJI.
Enhancing Productivity: Artificial Intelligence’s Effect on Productivity of Nepalese Large-Scale Organizations
Authors: Pandey Dhruba Lal , Risal Nischal , Basnet Bhupindra Jung 
Published: December 2023

The primary issue of the study is to explore the effect of AI integration, user interface, user experience and quality on the productivity of the employees working in large scale organizations in Nepal. The aim of this investigation was to assess the impact of artificial intelligence (AI) on employee productivity in Nepalese organizations. The study assesses AI's effect on productivity, that may address the lack of empirical evidence in Nepal. The information was gathered using five-point Likert scale questionnaires administered online. The sample size for the study was 85. The data was analyzed using SPSS software. To explore the direct effect, indirect effect, and total effect of moderating variables, a process tool in SPSS developed by Andrew F. Hayes was used. The findings revealed that quality and AI integration had positive and significant effect on productivity whereas AI user experience and user interface had insignificant effect on employee productivity. The positive correlation between AI integration and productivity signifies the need for organizations to embrace seamless AI adoption. By integrating AI effectively into their workflows, they can streamline processes, harness data-driven insights, and ultimately enhance productivity.
Medical Error’ Incidence and Its Relation to Psychological Stressors among Nurses in Jeddah, Saudi Arabia
Authors: Alansari Wajdi , Alshaikhi Abdullah Hasan , Almutairi Mohanna , Kaki Dalia Khalid H. , Alzahrani Ali Ghurmullah 
Published: December 2023

Aim: This review aimed to assess the correlation between nurses’ exposure to psychosocial stressors and the occurrence of medical and medication errors in some hospitals of Jeddah and its correlation to other hospitals.
Methods: The study utilized a range of approaches. To conduct a thorough literature search, a total of five databases CINAHL, PubMed, COCHRANE, Google Scholar and Web of Science were employed.
Results: Using date filters, we ensured that the literature we retrieved was accurate and up to date for the last 5 years across all databases to ensure updated deep analysis evidence to find that from a total of 6019 studies, only seventeen studies were relevant to this review to be analyzed and discussed to find that to mitigate the likelihood of medical incidents/errors, it is imperative to consider factors such as current/recent illness, bodily discomfort, and emotional role as personal challenges for nurses. Additionally, addressing break periods during the night shift and working conditions as administrative concerns is crucial.
Conclusion: Research has demonstrated that medical errors constitute the most widespread kind of errors, posing a significant risk to patient safety. Many psychological factors are concerned with rising rates of errors among nurses. The implementation of proactive methods is a successful approach to mitigating medical errors within healthcare settings.
Age-Related Incidence and Peak Occurrence of Contralateral Breast Cancer
Authors: Kim Hakyoung , Yoon Tae In , Kim Seonok , Lee Sae Byul , Kim Jisun , Chung Il Yong , Ko Beom Seok , Lee Jong Won , Son Byung Ho , Lee Young Jin , Gwark Sungchan , Kim Hee Jeong 
Published: December 2023

ImportanceYoung patients with breast cancer have higher risk for developing contralateral breast cancer (CBC) and have epidemiologic characteristics different from those of older patients.ObjectiveTo examine the incidence and peak occurrence of CBC according to age at primary breast cancer (PBC) surgery.Design, Setting, and ParticipantsThis cohort study included patients who were diagnosed with and underwent surgery for unilateral nonmetastatic breast cancer at Asan Medical Center, Korea, between January 1, 1999, and December 31, 2013, with follow-up through December 31, 2018. Data were analyzed from December 1, 2021, through April 30, 2023. Patients were divided into 2 groups according to their age at surgery for PBC: younger (≤35 years) vs older (&amp;gt;35 years).Main Outcomes and MeasuresThe main outcomes were cumulative incidence and hazard rate of CBC in the entire study population and in subgroups divided by cancer subtype, categorized according to hormone receptor (HR) and ERBB2 status.ResultsA total of 16 251 female patients with stage 0 to III breast cancer were analyzed; all patients were Korean. The mean (SD) age was 48.61 (10.06) years; 1318 patients (8.11%) were in the younger group, and 14 933 (91.89%) were in the older group. Median follow-up was 107 months (IQR, 79-145 months). Compared with the older group, the younger group had significantly higher incidence of CBC (10-year cumulative incidence, 7.1% vs 2.9%; P &amp;lt; .001) and higher risk (hazard ratio, 2.10; 95% CI, 1.62-2.74) of developing CBC. The hazard rate, which indicates risk for developing CBC at a certain time frame, differed according to the subtype of primary cancer. In patients with the HR+/ERBB2– subtype, the risk increased continuously in both age groups. In patients with the triple negative subtype, the risk increased until approximately 10 years and then decreased in both age groups. Meanwhile, in the HR−/ERBB2+ subtype, risk peaked earlier, especially in the younger group (1.7 years since first surgery in the younger group and 4.8 years in the older group).Conclusions and RelevanceIn this cohort study, patients aged 35 years or younger with breast cancer had a higher risk of developing CBC than older patients. Moreover, young patients with the HR−/ERBB2+ subtype tended to have a shorter interval for developing CBC. These findings might be useful in guiding treatment decisions, such as contralateral prophylactic mastectomy.
Racial Equity in Living Donor Kidney Transplant Centers, 2008-2018
Authors: McElroy Lisa M. , Schappe Tyler , Mohottige Dinushika , Davis LaShara , Peskoe Sarah B. , Wang Virginia , Pendergast Jane , Boulware L. Ebony 
Published: December 2023

ImportanceIt is unclear whether center-level factors are associated with racial equity in living donor kidney transplant (LDKT).ObjectiveTo evaluate center-level factors and racial equity in LDKT during an 11-year time period.Design, Setting, and ParticipantsA retrospective cohort longitudinal study was completed in February 2023, of US transplant centers with at least 12 annual LDKTs from January 1, 2008, to December 31, 2018, identified in the Health Resources Services Administration database and linked to the US Renal Data System and the Scientific Registry of Transplant Recipients.Main Outcomes and MeasuresObserved and model-based estimated Black-White mean LDKT rate ratios (RRs), where an RR of 1 indicates racial equity and values less than 1 indicate a lower rate of LDKT of Black patients compared with White patients. Estimated yearly best-case center-specific LDKT RRs between Black and White individuals, where modifiable center characteristics were set to values that would facilitate access to LDKT.ResultsThe final cohorts of patients included 394 625 waitlisted adults, of whom 33.1% were Black and 66.9% were White, and 57 222 adult LDKT recipients, of whom 14.1% were Black and 85.9% were White. Among 89 transplant centers, estimated yearly center-level RRs between Black and White individuals accounting for center and population characteristics ranged from 0.0557 in 2008 to 0.771 in 2018. The yearly median RRs ranged from 0.216 in 2016 to 0.285 in 2010. Model-based estimations for the hypothetical best-case scenario resulted in little change in the minimum RR (from 0.0557 to 0.0549), but a greater positive shift in the maximum RR from 0.771 to 0.895. Relative to the observed 582 LDKT in Black patients and 3837 in White patients, the 2018 hypothetical model estimated an increase of 423 (a 72.7% increase) LDKTs for Black patients and of 1838 (a 47.9% increase) LDKTs for White patients.Conclusions and RelevanceIn this cohort study of patients with kidney failure, no substantial improvement occurred over time either in the observed or the covariate-adjusted estimated RRs. Under the best-case hypothetical estimations, modifying centers’ participation in the paired exchange and voucher programs and increased access to public insurance may contribute to improved racial equity in LDKT. Additional work is needed to identify center-level and program-specific strategies to improve racial equity in access to LDKT.
Dynamic event‐triggered asynchronous security load frequency control for semi‐Markov jump multi‐area power systems against deception attacks
Authors: Li Yulong , Li Xiaoqing , Cheng Jun , Shi Kaibo , Sun Wei 
Published: December 2023

AbstractThis paper focuses on the issue of dynamic event‐triggered (DET) asynchronous security load frequency control (LFC) for uncertain semi‐Markov jump interconnected multi‐area power systems (IMAPSs). Initially, the semi‐Markov process which in the presence of partially unknown transition rates (TRs) is exactly introduced to model the switching behaviors of the IMAPSs. Subsequently, the DET mechanism is scheduled to alleviate the transmission frequency and guarantee the desired control performance. Furthermore, the probabilistic deception attacks are taken into consideration, which is much more apt for the practical engineering background. Additionally, a hidden Markov model (HMM) is borrowed to depict the modes asynchronous phenomenon between the security controller and the semi‐Markov jump IMAPSs. Afterwards, on the basis of Lyapunov‐Krasovskii functional method and stochastic analysis technique, sufficient conditions with two cases are derived in the form of linear matrix inequalities (LMIs) to guarantee the stochastic stability with an performance of the semi‐Markov jump IMAPSs. Ultimately, a numerical example is exhibited to verify the solvability and practicability of the proposed control strategy.
Continuous Melt Spinning of Adaptable Covalently Cross‐Linked Self‐Healing Ionogel Fibers for Multi‐Functional Ionotronics
Authors: Tan Hui , Sun Lijie , Huang Hongfei , Zhang Luzhi , Neisiany Rasoul Esmaeely , Ma Xiaopeng , You Zhengwei 
Published: December 2023

AbstractStretchable conductive fibers play key roles in electronic textiles, which have substantial improvements in terms of flexibility, breathability, and comfort. Compared to most existing electron‐conductive fibers, ion‐conductive fibers are usually soft, stretchable, and transparent, leading to increasing attention. However, the integration of desirable functions including high transparency, stretchability, conductivity, solvent resistance, self‐healing ability, processability, and recyclability remains a challenge to be addressed. Herein, a new molecular strategy based on dynamic covalent cross‐linking networks is developed to enable continuous melt spinning of the ionogel fiber with the aforementioned properties. As a proof of concept, adaptable covalently cross‐linked ionogel fibers based on dimethylglyoximeurethane (DOU) groups (DOU‐IG fiber) are prepared. The resultant DOU‐IG fiber exhibited high transparency (>93%), tensile strength (0.76 MPa), stretchability (784%), and solvent resistance. Owing to the dynamic of DOU groups, the DOU‐IG fiber shows high healing performance using near‐infrared light. Taking advantage of DOU‐IG fibers, multifunctional ionotronics with the integration of several desirable functionalities including sensor, triboelectric nanogenerator, and electroluminescent display are fabricated and used for motion monitoring, energy harvesting, and human–machine interaction. It is believed that these DOU‐IG fibers are promising for fabricating the next generation of electronic textiles and other wearable electronics.
The general ratooning ability of rice yield‐related traits: A meta‐analysis
Authors: Shiraki Shutaro , Kywae  , Thura  , Mon Lae Lae , Cho Thin Mar , Myaing Kyaw , Ni Nwe , Oo May That , Poe Loon Poe , Thu Aung kyaw 
Published: December 2023

AbstractNumerous studies have attempted to pinpoint certain traits of rice varieties linked with great ratooning ability that may be used in cultural practice. However, both genetic and environmental variables affect rice's capacity for ratooning. We are able to measure the innovative ratooning ability that affects the decline in ratoon yield using the agronomic features of the main crop and ratoon rice in our global database for a meta‐analysis, drawn from 51 experiments in 14 countries. We discovered that changes in cultivar yield and maturity features, cropping location, and nitrogen fertilizer treatment may all affect a plant's capacity to tiller. On the other hand, the growth duration ratoon ability was less responsive to variations in cultivars and cropping location. We also found that ratooning changes the plant architecture for yield generation from bigger spikelets with fewer panicles to fewer spikelets (dropping 48%) with larger panicles (increasing 19%). We came to the conclusion based on our research that the decreased yield in ratoon crops may be caused by fast ear emergence and aggressive tillering, which negatively influence stem elongation, panicle differentiation, and a lack of nutrition, resulting in fewer spikelets (panicle−1). The present data are thoroughly summarized and analyzed in this research, which also clarifies the lack of knowledge around the characteristics that affect ratoon rice crop production.