Pearson Correlation Research Articles

Comparative analysis of hand dynamometer measurements across different arm positions: implications for rehabilitation and functional assessment

Background and Study Aim. Grip strength is a crucial measure of human physical capability, affecting activities from daily tasks to athletic performance. Variations in arm position during grip strength measurement may influence the results, which has significant implications for both rehabilitation and functional assessment. This study explores the impact of different arm positions on grip strength to enhance understanding of human biomechanics and inform rehabilitation and sports training practices. Material and Methods. Forty right-handed male volunteers (mean age 18.27 ± 0.90 years) participated in the study. Grip strength was measured using a CAMRY Model: EH101 hand dynamometer. Measurements were taken across four arm positions: seated with elbow extension, 90-degree elbow flexion, 90-degree elbow flexion with pronation, and 90-degree elbow flexion with supination. Each position was tested three times. The highest recorded value for each position was used for analysis. Results. The dominant right hand exhibited higher grip strength across all positions compared to the non-dominant left hand. Significant differences were noted, with the greatest grip strength in the extension position. Statistical analysis using paired t-tests indicated significant differences (p < 0.001) between the right and left hands across all positions. Pearson correlation coefficients highlighted strong relationships between different arm positions. Multiple linear regression analysis showed significant predictors of grip strength variability based on arm position, age, and BMI. Conclusions. Arm position significantly influences grip strength performance, underscoring the importance of standardized positioning in ergonomics. Standardizing arm position can optimize performance and mitigate injury risks in activities requiring robust grip strength. These findings have practical implications for rehabilitation protocols, sports training programs, and ergonomic assessments. The results emphasize the need for consistency in grip strength evaluations to ensure accurate and reliable results.

Saudi EFL Students’ Attitudes Toward the Target Culture and Its Relationship with Their Linguistic Backgrounds

Culture and language have long been focal points of investigation, and both have been intensively discussed in the academic literature, but little attention has been paid to the influence of EFL students’ linguistic backgrounds on their attitudes toward the target culture, especially in the Saudi context. This mixed-method study aimed to explore the impact of learners’ linguistic backgrounds (mainly their language academic achievement levels and contexts of language learning) on their attitudes toward the target culture. The data was collected using an online questionnaire. A total of 84 students from the Faculty of Language and Translation at King Khaled University participated in this study. A Pearson correlation coefficient test and thematic analysis were used to interpret the data. The results showed a significant relationship between the participants’ linguistic backgrounds and their attitudes. The results also indicated that the participants had an overall positive attitude toward the integration of the target culture into language learning. In light of the findings, EFL students’ linguistic background should be taken into consideration before embedding the target culture into language learning.

Correlation of obesity indices with metabolic syndrome among Igbos in Enugu and their optimal cut-off points

Background: Metabolic syndrome also known as insulin resistance syndrome or Syndrome X, represents an association of risk factors for cardiovascular disease and type 2 diabetes mellitus. Its central diagnostic criteria include obesity, impaired fasting glucose, low HDL-cholesterol; elevated triglycerides levels and high blood pressure. Insulin resistance is believed to be the main cause of Metabolic Syndrome and is connected to the level of visceral or intra-abdominal adipose tissue, which could be assessed either by calculating body mass index or by measuring waist circumference. Objectives: This study aimed at determining the correlation of indices of obesity with metabolic syndrome among Igbos in Enugu and their optimal cut-off points. Method: This was a cross-sectional community-based descriptive survey carried out in Enugu Metropolis involving 469 apparently healthy adult volunteers age range 18-75 screened for metabolic syndrome using the Joint Interim Statement definition. Stratified random sampling technique was used in the selection of participants. The data obtained were coded and analyzed into percentages, mean and standard deviation using the Statistical Package for Social Sciences (SPSS), version 23. t-test was used to compare continuous variables for associations, while Youden index and Receiver Operating Characteristic analysis were used to determine optimal cut-off point of the obesity indices that best balances sensitivity and specificity of the obesity indices. Pearson correlation coefficient was used to examine correlation between obesity indices and cardiovascular risks. Statistical significance is set at p< 0.05 and 95% confidence interval. Result: The study revealed that all indices of obesity showed positive correlation with metabolic syndrome. BMI showed the least strength of correlation while WC is the best discriminator for predicting Metabolic Syndrome however, the optimal cut-off point of the obesity indices differ from the standard cut-off points. Conclusion: All the obesity indices used in the study showed positive correlation with metabolic syndrome however, WC is to be preferred in screening for metabolic syndrome. The optimal cut-off point obtained can be applied specifically for Igbos in Enugu

Analysis of the Characteristics and Influencing Factors of Perinatal Obsessive-Compulsive Symptoms in Elderly Parturients.

Aims/Background Perinatal obsessive-compulsive symptoms are significant predictors of increased postpartum anxiety, depression, and bipolar disorder. These symptoms have persistent adverse effects on both mothers and children. Currently, there are few reports in the literature on obsessive-compulsive disorder in elderly parturient women in China. This study primarily discusses the clinical characteristics of perinatal obsessive-compulsive symptoms in elderly parturient women and analyzes their influencing factors, aiming to provide references for clinical prevention and treatment. Methods This research employed a cross-sectional design, utilizing a convenience sampling method to select elderly parturients who delivered at Panjin Central Hospital from September 2022 to August 2023. The assessment instruments included a general data questionnaire, the Yale-Brown Obsessive Compulsive Scale (Y-BOCS), the self-rating anxiety scale (SAS), the edinburgh postpartum depression scale (EPDS), and the sense of coherence scale (SOC-13). The relationship between the severity of obsessive-compulsive symptoms and negative emotions and psychological burden was examined through Pearson correlation analysis. Additionally, the influencing factors of perinatal obsessive-compulsive symptoms were analyzed using multivariate logistic regression. Results In this study, a total of 124 questionnaires were distributed, and 122 valid questionnaires were recovered, yielding an effective recovery rate of 98.39%. Among the 122 elderly parturients, 37 were positive for perinatal obsessive-compulsive disorder, accounting for 30.33% (37/122). Among the 37 elderly parturients with perinatal obsessive-compulsive symptoms, 64.86% had both obsessive-compulsive thoughts and behaviors, 21.62% had obsessive-compulsive thoughts as the main symptom (8/37), and 13.51% had obsessive-compulsive behaviors (5/37). Multivariate logistic regression analysis showed that pregnancy history, pregnancy complications, fetal health, SOC-13 score, SAS score, and EPDS score were independent risk factors for positive perinatal obsessive-compulsive symptoms (p < 0.05). Conclusion The incidence of perinatal obsessive-compulsive symptoms in elderly parturient women is high. Obsessive-compulsive thoughts primarily involve fears of injury and contamination, while obsessive-compulsive behaviors mainly consist of compulsive checking and cleaning. The occurrence of perinatal obsessive-compulsive disorder is associated with factors such as pregnancy and childbirth history, pregnancy complications, fetal health, negative emotions, and stress resistance.

Therapeutic potential of oral tofacitinib in alopecia areata: a retrospective study

Background: Alopecia areata (AA), a prevalent autoimmune disorder, poses challenges in management, particularly in severe cases. Recent advancements highlight janus kinase (JAK) inhibitors-tofacitinib demonstrating promise. However, the literature reports conflicting information on its safety profile, especially at higher doses, necessitating a comprehensive evaluation. Methods: This retrospective analysis investigates the long-term efficacy and safety of oral tofacitinib in AA patients from January 2017 to October 2022. The study included 69 patients diagnosed with patchy multifocal AA (mfAA), alopecia totalis (AT), alopecia universalis (AU) or alopecia sub-totalis (AS). Data analysis incorporated demographic details, treatment history, autoimmune comorbidities, tofacitinib dosages, prior investigations, recurrence rates, and adverse effects. Efficacy was assessed using severity of alopecia tool (SALT) scores, with a grading system for percentage of hair regrowth. Results: The study comprising of 58% males and 42% females, exhibited varied alopecia types. Treatment response analyzed through percent change in SALT score revealed 46.5% showed very good response to tofacitinib treatment, while 4.3% had excellent response (100% change in SALT score). 44.9% of patients showed no recurrence. Adverse effects were minimal, including acneiform eruptions and upper respiratory tract infections. Pearson correlations revealed age negatively correlated with hair regrowth percentage, suggesting older individuals exhibited lower regrowth responses. Conclusions: Our findings endorse tofacitinib as a promising therapeutic option for the management of AA, with no serious side effects observed even during longer treatment durations. It can be regarded as the primary choice of treatment modality for moderate to severe forms of AA.

The Effect of Work Motivation and Work Discipline on Employee Performance at PT. Liza Christina Garment Industry Sukabumi Regency

The purpose of this study is to ascertain how employee performance at PT. Liza Christina Garment Industry Sukabumi Regency is impacted by work motivation and discipline. Descriptive and associative research methods with a quantitative approach are employed. 35 respondents from PT. Liza Christina Garment Industry Sukabumi Regency made up the sample for this study, which was carried out utilizing a total sampling approach in conjunction with the non-probability sampling technique. The validity and reliability test was the instrument utilized, followed by the classical assumption test. Multiple linear regression analysis, Pearson correlation analysis, and coefficient of determination analysis were the methods employed to ascertain the link and effect. The findings of the studies that have been done indicate that job motivation has an impact. impact employee performance of 0.588, meaning that a one-time increase in the work variable will result in a 0.588-fold rise in employee performance. The effect of partial work discipline on employee performance is 0.270; a one-time increase in the work discipline variable will result in a 0.270-fold rise in employee performance values. Together or separately, work motivation and work discipline have a 63% positive impact on employee performance, according to the computation results and coefficient of determination. The remaining 37% is influenced by the work environment, collaboration, pay, and other factors that were not examined. Based on these findings, it can be said that work motivation and work discipline, either separately or in combination, significantly impact employee performance as the dependent variable

Effectiveness of government policy interventions towards enhancing access to pre-primary and primary education by street children in North Rift Kenya

An estimated 150 million children live on the streets globally, with many not enrolled in school. This growing issue requires urgent attention. UN Sustainable Development Goal 4, Target 5, aims to eliminate educational disparities for marginalized groups like street children, emphasizing the need to address prejudice in education access.The Kenyan government has developed measures to improve all children's access to education, particularly at the pre-primary and primary levels, in light of its signature on the United Nations convention. Government funding for the creation and execution of policy initiatives targeted at improving the access to education for these socially marginalised populations has been consistently large. Many street children still do not go to school though. In this regard a study was conducted to assess the effectiveness of government policy interventions towards enhancing access to pre-primary and primary education by street children. The study used mixed method research and pragmatic paradigm. By using both purposeful and random sampling, a sample size of 322 was selected. The respondents comprised of Street children, county directors of education, quality assurance officers, officers in the Department of Children Welfare, urban primary school teachers, non-governmental organisations, and community-based organisations that assist street children. Data was collected using observation guides, in-depth interviews, and questionnaires. Descriptive and inferential statistics as well as theme analysis were used to analyse the data, respectively. The results showed a statistically significant relationship between government policy interventions and street children's access to pre-primary and primary education in North Rift Kenya; specifically, the national pre-primary education policy had a Pearson correlation coefficient of 0.711, while the inclusive education policy had a coefficient of 1.0. The research additionally demonstrated the necessity of reinforcing the involvement of other relevant parties in improving street children's access to pre-primary and primary education.

Evaluating the effectiveness of quantitative pupillometry in assessing dynamic aerobic training intensity

Sports injuries often arise from improper scheduling of exercise loads, and timely assessment of these loads is essential for minimizing injury risk. This article investigates the validity of using changes in pupillary light reflex (PLR) during dynamic aerobic training as a novel approach to evaluating exercise load. Dynamic aerobic training was conducted on a power bicycle for 15 min. With a 3-minute interval as the demarcation line, PLR measurement was performed before training and heart rate was recorded throughout the process. The Rating of Perceived Exertion (RPE) scale invented by Borg was used for scoring before training and after training. The normal distribution of data was confirmed through the Shapiro-Wilk test. Pearson correlation analysis was used to quantify the correlation between variables. The Receiver Operating Characteristic (ROC) curve and the area under the curve (AUC) analysis were used to determine the indicators of exercise load. The optimal threshold of the indicators was calculated through the Youden index to evaluate sensitivity and specificity. Thirty male second-tier athletes with a mean age of 23.66 ± 2.21 years, a mean height of 175.3 ± 6.5 cm, and a mean weight of 68.99 ± 10.35 kg participated in this study. Based on the RPE scale results, it was confirmed that the 15-minute dynamic aerobic exercise successfully elicited varying levels of perceived exertion among the athletes. The findings of this study indicate significant changes in PLR and heart rate (HR) with increasing exercise duration and external load. There were strong correlations between RPE and maximum constriction velocity (MCV) (|r| = 0.8309, p < 0.001, negative correlation), maximum diameter (INIT) (r = 0.7641, p < 0.001, positive correlation), time to reach 75% recovery (T75) (|r| = 0.7289, p < 0.001, negative correlation), and HR (r = 0.8170, p < 0.001, positive correlation). Additionally, the results suggest that MCV is the most significant potential indicator for detecting internal load, exhibiting high specificity and sensitivity (AUC = 0.8509, p < 0.001). Further analysis using the Youden index identified 5.07 mm/s as the optimal cutoff value for MCV, indicating that when MCV ≤ 5.07 mm/s, the athletes’ internal load has reached an “Intense” state. PLR may be a potential indicator for assessing internal load Further investigation could involve developing a non-invasive exercise load detection system based on pupillary variable indicators, providing a valuable new approach for accurately measuring exercise load.

Pharmacophore-based 3D-QSAR modeling, virtual screening, docking, molecular dynamics and biological evaluation studies for identification of potential inhibitors of alpha-glucosidase.

Alpha-glucosidase enzyme is considered an important therapeutic target for controlling hyperglycemia associated with type 2 diabetes. Novel scaffolds identified as potential alpha-glucosidase inhibitors from the Maybridge library utilizing pharmacophore modeling, molecular docking and biological evaluation are reported in this manuscript. A total of 51 xanthone series scaffolds previously reported as alpha-glucosidase inhibitors were collected and used as training and test sets. These sets were employed to develop and validate a pharmacophore-based 3D-QSAR model with statistically meaningful results using Schrodinger software. The model showed a high F value (F, 80.1) at five component partial least square factors, a high cross-validation coefficient (Q2, 0.66) and a good correlation coefficient (R2, 0.95). Pearson correlation coefficient (r) of 0.8400 indicated a greater degree of confidence in the model. Subsequently, virtual screening was performed with PHASE module of Schrodinger software using the above model to identify novel alpha-glucosidase inhibitors, and mapped compounds were evaluated for their interactions with the protein. The X-ray co-crystallised structure of the alpha-glucosidase protein in complex with acarbose (PDB Code: 5NN8) was used for molecular docking analysis using GLIDE module and a total of eight compounds were further selected for biological evaluation. Molecular dynamics analysis using GROMACS software was performed in the active site of alpha-glucosidase protein to gain insights into binding mechanism of the four active compounds which were finally found to exhibit inhibitory activity in the biological assay.

Donor Parameters and Platelet Yield during Plateletpheresis: A Cross-sectional Prospective Study

Abstract Background: Platelet transfusion can be life-saving in bleeding patients with thrombocytopenia or reduced platelet function. Single donor platelets (SDP) unit use is preferred due to the various advantages like reduction in transfusion-transmitted diseases and transfusion reactions. The quality of SDP is determined by platelet yield. Therefore, we conducted this study to assess the donor parameters affecting platelet yield during plateletpheresis. Materials and Methods: This cross-sectional prospective study included 160 single-donor platelet apheresis procedures done for 1 year. The pre-donation platelet count of the donor was set to 250 × 109/L to get double-dose platelet. Plateletpheresis was performed using Trima Accel single-needle separator apheresis machine. The demographic and hematologic parameters of donors were correlated with their platelet yield. Data obtained were tabulated using version 20 of the Statistical Package for the Social Sciences (SPSS). A relationship between pre-donation donor variables and platelet yield was studied using the Pearson correlation coefficient (r). P &lt; 0.05 was considered statistically significant. Results: There was a significant positive correlation between platelet yield and body mass index (BMI) (r = 1710 and P = 0.0304), total leukocyte count (TLC) (r = 0.2220 and P = 0.0048), and platelet count (r = 0.8880 and P &lt; 0.0001). The mean platelet volume (MPV) showed a negative correlation with platelet yield (r = −0.1910 and P = 0.0156). Age, hemoglobin, hematocrit, and platelet distribution width showed no significant correlation with the platelet yield. Conclusion: Donor parameters such as pre-donation platelet count, BMI, TLC, and MPV need to be considered while recruiting the donors for the SDP procedure for better yield of platelets.

Left atrial function in uraemic patients: Four-dimensional automatic left atrial quantitative technology study.

This study aimed to evaluate the utility of left atrial volume and function in uraemic patients using four-dimensional automatic left atrial quantification (4D auto LAQ) technology. Thirty-four undialysed uraemic patients (U-ND group), 60 dialysed uraemic patients (U-D group), and 32 healthy volunteers (N group) were enrolled in our current study. Conventional echocardiographic parameters were recorded, and left atrial volume and strain parameters were analysed to determine statistical differences among the three groups. The Pearson correlation coefficient was employed to assess the relationships between left atrial ejection fraction and left atrial strain parameters. Compared to the N group, uraemic patients often displayed left atrial enlargement and left ventricular hypertrophy. Significant increases were noted in left atrial diameter, interventricular septum thickness, left ventricular posterior wall thickness, E/e', diastolic blood pressure, systolic blood pressure, left atrial minimum volume, left atrial maximum volume, left atrial pre-atrial contraction volume, left atrial emptying volume and left atrial maximum volume index (P<0.05). Conversely, the e', E/A ratio and left atrial reservoir longitudinal strain were significantly decreased (P<0.05). However, no statistically significant differences were observed in the aforementioned parameters between the U-ND and U-D groups. The absolute values of left atrial conduit longitudinal strain and left atrial conduit circumferential strain, as well as left atrial passive ejection fraction, were notably lower in the U-D group compared to the N and U-ND groups, with statistically significant differences identified among the three groups (P<0.05). Uraemic patients exhibit marked left atrial enlargement and left ventricular hypertrophy, coupled with altered atrial function, particularly ductal dysfunction in the U-D group. The 4D auto LAQ technology proves advantageous in detecting these alterations, offering a promising tool for thorough cardiac assessment in this patient cohort.

The Relationship Between Organizational Commitment, Professional Development, and Job Performance of Educators in Public Universities

This study investigates the relationship between organizational commitment, professional development, and job performance among educators in public universities. Using a sample of 250 educators from public universities in West Java, Indonesia, the study employed a quantitative approach, incorporating Pearson correlation and multiple regression analyses to examine the influence of organizational commitment and professional development on job performance. The findings revealed that both organizational commitment and professional development have significant positive effects on job performance. Furthermore, an interaction effect was observed, suggesting that educators who exhibit high levels of organizational commitment and actively participate in professional development activities perform better than those with only one of these factors. These results emphasize the importance of fostering both commitment and professional growth in improving educator performance. The study contributes to the literature on educator effectiveness and offers practical recommendations for enhancing job performance in higher education institutions.

The Impact of Anterior Cruciate Ligament Tear on Player Performance and Longevity in La Liga League Soccer Players

AbstractAnterior cruciate ligament (ACL) rupture is among the most studied sports injuries. We investigate the impact of ACL reconstruction (ACLR) on performance and longevity in La Liga to elucidate performance parameters impacted after surgery in professional soccer players and variables impacting return-to-play (RTP).Demographic and performance data for La Liga players with ACLR between 1993 and 2020 were collected three seasons before and after injury and compared with two healthy controls. Analysis was conducted between and within ACLR and control groups. Pearson's correlation coefficients and a multiple linear regression model analyzed relationships between demographic variables and RTP.After exclusion, 23 professional soccer players were identified for the ACLR group. One year after index, ACLR had lower goals, shots on-target, assists, pass percentage, tackles, tackle success percentage, blocks, and clearances compared with control (p &lt; 0.05). Two years after index, ACLR had lower assists, pass percentage, and tackle success percentage than control (p &lt; 0.05). Three years after index, ACLR had fewer matches and blocks versus control (p &lt; 0.05). Pearson's correlation showed a positive correlation between experience and RTP (p = 0.001). Multiple linear regression found RTP to increase 32.66 days for each additional year of experience (p &lt; 0.001).With performance metrics showing significant decreases up to 2 years post-ACLR but largely recovering within 3 years of RTP, results support that soccer players undergoing ACLR eventually recover to preinjury levels of play. Players should be counseled on initial declines in performance metrics the first few years after RTP.

Turkish Version of the Norwich Patellar Instability Score: Minimal Detectable Change among Patients with Traumatic Patellar Dislocation

Objective: This study aimed to calculate the minimal detectable change (MDC) in the Norwich Patellar Instability score (NPI) and validate the score for Turkish-speaking individuals with patellar instability. Method: Sixty-four patients (mean age 21.87 ± 9.44 years) who had experienced at least one patellar dislocation during athletic activities participated in the study. The Turkish version of the NPI (NPI-T) was evaluated for reliability and internal consistency. The Minimal Detectable Change was calculated as an overall value for the participants. MDC was calculated based on the standard error of measurement (SEM) and the selected confidence level (ICC) for the study population. Pearson's correlations were examined to assess construct validity between the Kujala Patellofemoral Disorder score and the Lysholm Knee Score. Result: The MDC for the NPI-T was 17.29, with a SEM of 6.24. The score demonstrated high internal consistency, with a Cronbach’s alpha value of 0.85, indicating substantial reliability. The consistency of measurements was excellent, with an ICC2,1 of 0.95. Additionally, the NPI-T score exhibited a strong negative correlation with both the Kujala (r = -0.85, p &lt; 0.001) and Lysholm (r = -0.89, p &lt; 0.001) scores. A floor effect was observed, but no ceiling effect was present. Conclusion: The study confirms that the NPI-T demonstrates strong psychometric properties, with high internal consistency and excellent reliability, as evidenced by its low MDC and SEM. The use of the NPI-T as a reliable and valid tool for assessing patellar instability in patients with patellar dislocation will provide valuable information to clinicians.

Path coefficient analysis unraveled nutrient factors directly impacted the textural characteristics of cooked whole-grain purple rice

IntroductionWhole-grain pigmented rice (WCP) provides many nutritional benefits compared to non-pigmented varieties. The textural quality of cooked whole-grain rice, particularly its hardness, is crucial for consumers’ preferences.Materials and MethodsWe investigated the impact of multiple-grain nutrient components on textural attributes through Pearson Correlation and Path Coefficient Analyses (PCA).Results and DiscussionFrom correlation analysis, we found that the dietary fibre index (DFI), soluble and insoluble fibre (SDF and IDF), and amylose/amylopectin contents (AC/AP) influenced hardness (HRD) significantly. Nonetheless, the binary correlation failed to detect the impact of protein on hardness; instead, it strongly affected adhesiveness (ADH). The PCA revealed protein, AC/AP, and DFI significantly impacted HRD and ADH. Furthermore, DFI antagonised protein and AC/AP to define HRD, while AC/AP and DFI opposed the direct effects of protein on ADH. DFI’s effects on HRD were more appealing among low AC than high or waxy rice groups. Instead, the effect of protein was more appealing among waxy rice varieties. Based on PCA, rice breeders can now rely on three nutrient factors, protein, DFI, and AC/AP, to redesign whole-grain pigmented rice to achieve consumer acceptance and well-being.

Determinants of Youth Participation in Community Development Projects in Limuru Subcounty, Kiambu County, Kenya

Government policy had been geared towards addressing youth unemployment and enhancing participation in development projects. However, the effect of youth involvement in community development projects had not been substantial, posing a challenge to the youth, government agencies, and the community at large. The study examined the determinants of youth participation in community development projects in Limuru subcounty. Specifically, it sought to determine the effects of socio-cultural factors, education level, information accessibility, and access to finance on youth participation in these projects. The study was underpinned by Arnstein’s theory of community participation. The descriptive research design targeted 38,410 youth in Limuru subcounty with a sample size of 395. Stratified sampling across five wards, proportionate sampling determined youths per ward. Simple random sampling selected participants. Data was collected through questionnaires and face-to-face interviews. Inferential statistics, Pearson correlation, and regression analysis were utilized. Research in Limuru subcounty reveals that socio-cultural factors have both positive and insignificant effects on youth participation in community projects (β = 0.491, p = 0.110). Higher education levels positively and significantly impact youth involvement (β = 0.568, p = 0.000). Information accessibility plays a positive and significant role (β = 0.071, p = 0.110), along with access to finance (β = 0.568, p = 0.000).The study concludes that youth education level influences involvement in community projects. Awareness campaigns and advocacy programs are key in promoting youth involvement in community projects. The study recommends that community leaders and stakeholders should consider the effect of youth attitudes, perceptions and religious affiliations when designing and implementing development initiatives. County and national development programs should focus on promoting a positive attitude towards loans among the youth, while providing guidance on managing collateral and securing funding.

Reliability and Accuracy of Portable Devices for Measuring Countermovement Jump Height in Physically Active Adults: A Comparison of Force Platforms, Contact Mats, and Video-Based Software

Measuring countermovement jump (CMJ) height accurately is essential for evaluating lower-body explosive power in athletes and other active populations. With technological advancements, various portable tools have been developed for this purpose, including force platforms, contact mats, and video-based software. This study aimed to (a) investigate the test–retest reliability of the KINVENT K-Deltas force platform for CMJ height measurement and (b) compare its accuracy with a contact mat (Chronojump, Spain) and a video-based software (My Jump app, version 3). Twenty-two physically active collegiate athletes (mean age of 19.7 ± 1.2 years) from various sports backgrounds completed five CMJ trials with simultaneous height measurements using all three tools. Intra-class correlation coefficients (ICC), Cronbach’s alpha, and coefficient of variation (CV) were calculated to assess reliability. In contrast, Pearson correlations and Bland–Altman plots were used to compare device results. The K-Deltas force platform exhibited high test–retest reliability (ICC = 0.981), closely matching the contact mat (ICC = 0.987) and the My Jump app (ICC = 0.986). Correlations between the instruments were strong (force platform vs. contact mat: r = 0.987; force platform vs. My Jump: r = 0.987; contact mat vs. My Jump: r = 0.996), with no between-instrument differences (t-test p = 0.203–0.935, effect size ≤ 0.01–0.16), demonstrating the interchangeability of these tools for practical purposes. However, Bland–Altman analysis revealed limits of agreement between the devices, indicating small but consistent measurement differences. While all instruments were reliable, discrepancies in the absolute values suggest practitioners should consider device-specific variations when comparing CMJ data. These findings highlight the reliability of the K-Deltas force platform as a viable alternative for measuring CMJ height, though differences between devices should be accounted for in applied settings. Therefore, the portable force plates can monitor training, predict injury risk, assess neuromuscular fatigue, and lead to informed decision-making.

Radiomics for Predicting Prognostic Factors in Breast Cancer: Insights from Contrast-Enhanced Mammography (CEM)

Objectives: To evaluate the correlation between radiomic features extracted from contrast-enhanced mammography (CEM) tumor lesions and peritumoral background with prognostic factors in breast cancer (BC). Methods: In this retrospective, single-center study, 134 women with histologically confirmed breast cancer underwent CEM examination. Radiomic features were extracted from manually segmented lesions and lesion contours were automatically delineated using PyRadiomics. The extracted features were categorized into seven classes: First-order Features, Shape Features (2D), Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), Gray Level Size Zone Matrix (GLSZM), and Neighboring Gray Tone Difference Matrix (NGTDM). Histological examination assessed tumor type, grade, receptor structure (ER, PgR, HER2), Ki67 index, and lymph node involvement. Pearson correlation and multivariate regression were applied to evaluate associations between radiomic features and prognostic factors. Results: Significant correlations were found between First-order Features and prognostic factors such as ER, PgR, and Ki67 (p &lt; 0.05). GLCM-based texture features showed strong associations with Ki67 and HER2 (p &lt; 0.01). Radiomic features from peritumoral regions, especially shape and GLSZM metrics, were significantly correlated with Ki67 and lymph node involvement. Conclusions: Radiomic analysis of both tumor and peritumoral regions offers significant insights into BC prognosis. These findings support the integration of radiomics into personalized diagnostic and therapeutic strategies, potentially improving clinical decision making in BC management.

Wavelet and time-based cerebral autoregulation analysis using diffuse correlation spectroscopy on adults undergoing extracorporeal membrane oxygenation therapy.

Adult patients who have suffered acute cardiac or pulmonary failure are increasingly being treated using extracorporeal membrane oxygenation (ECMO), a cardiopulmonary bypass technique. While ECMO has improved the long-term outcomes of these patients, neurological injuries can occur from underlying illness or ECMO itself. Cerebral autoregulation (CA) allows the brain to maintain steady perfusion during changes in systemic blood pressure. Dysfunctional CA is a marker of acute brain injury and can worsen neurologic damage. Monitoring CA using invasive modalities can be risky in ECMO patients due to the necessity of anticoagulation therapy. Diffuse correlation spectroscopy (DCS) measures cerebral blood flow continuously, noninvasively, at the bedside, and can monitor CA. In this study, we compare DCS-based markers of CA in veno-arterial ECMO patients with and without acute brain injury. Adults undergoing ECMO were prospectively enrolled at a single tertiary hospital and underwent DCS and arterial blood pressure monitoring during ECMO. Neurologic injuries were identified using brain computerized tomography (CT) scans obtained in all patients. CA was calculated over a twenty-minute window via wavelet coherence analysis (WCA) over 0.05 Hz to 0.1 Hz and a Pearson correlation (DCSx) between cerebral blood flow measured by DCS and mean arterial pressure. Eleven ECMO patients who received CT neuroimaging were recruited. 5 (45%) patients were found to have neurologic injury. CA indices WCOH, the area under the curve of the WCA, were significantly higher for patients with neurological injuries compared to those without neurological injuries (right hemisphere p = 0.041, left hemisphere p = 0.041). %DCSx, percentage of time DCSx was above a threshold 0.4, were not significantly higher (right hemisphere p = 0.268, left hemisphere p = 0.073). DCS can be used to detect differences in CA for ECMO patients with neurological injuries compared to uninjured patients using WCA.

Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers

The porous underground structures have recently attracted researchers’ attention for hydrogen gas storage due to their high storage capacity. One of the challenges in storing hydrogen gas in aqueous solutions is estimating its solubility in water. In this study, after collecting experimental data from previous research and eliminating four outliers, nine machine learning methods were developed to estimate the solubility of hydrogen in water. To optimize the parameters used in model construction, a Bayesian optimization algorithm was employed. By examining error functions and plots, the LSBoost method with R² = 0.9997 and RMSE = 4.18E-03 was identified as the most accurate method. Additionally, artificial neural network, CatBoost, Extra trees, Gaussian process regression, bagged trees, regression trees, support vector machines, and linear regression methods had R² values of 0.9925, 0.9907, 0.9906, 0.9867, 0.9866, 0.9808, 0.9464, and 0.7682 and RMSE values of 2.13E-02, 2.43E-02, 2.44E-02, 2.83E-02, 2.85E-02, 3.40E-02, 5.68E-02, and 1.18E-01, respectively. Subsequently, residual error plots were generated, indicating the accurate performance of the LSBoost model across all ranges. The maximum residual error was − 0.0252, and only 4 data points were estimated with an error greater than ± 0.01. A kernel density estimation (KDE) plot for residual errors showed no specific bias in the models except for the linear regression model. To investigate the impact of temperature, pressure, and salinity parameters on the model outputs, the Pearson correlation coefficients for the LSBoost model were calculated, showing that pressure, temperature, and salinity had values of 0.8188, 0.1008, and − 0.5506, respectively, indicating that pressure had the strongest direct relationship, while salinity had an inverse relationship with hydrogen solubility. Considering the results of this research, the LSBoost method, alongside approaches like state equations, can be applied in real-world scenarios for underground hydrogen storage. The findings of this study can help in a better understanding of hydrogen solubility in aqueous solutions, aiding in the optimization of underground hydrogen storage systems.