bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of subterranean termites and their attack characteristics on settlements in Jakarta Province, Indonesia
Authors: ARINANA ARINANA , ARDIANSYAH FIRMAN , ANDIKA RIKI , TARMADI DIDI , SATIMO SATIMO 
Published: February 2025

Abstract. Arinana A, Ardiansyah F, Andika R, Tarmadi D, Satimo. 2025. Identification of subterranean termites and their attack characteristics on settlements in Jakarta Province, Indonesia. Biodiversitas 26: 22-35. The increase in termite attacks on buildings in Jakarta, Indonesia coinciding with the city's construction boom, is reshaping environmental dynamics. This study aims to identify the subterranean termite species responsible for damaging residential structures and to analyze the patterns of these infestations throughout Jakarta. The research was conducted across 57 settlement sites within the city, guided by a comprehensive survey of termite-induced damage and a four-month monitoring period from September to December 2021, during which Perseroan Terbatas (PT) Larusa Adi Sumindo, Jakarta implemented a baiting system. Morphometric identification of the termites revealed at least four species associated with building infestations: Coptotermes curvignathus, C. gestroi, Macrotermes gilvus, and Microtermes insperatus. Coptotermes gestroi was the most prevalent among these, found at 39 sites. The findings indicate that termite damage was most severe in window and door frames (49.1%), while the foundation exhibited the least damage (3.5%). This research highlights not only the diversity of termite species infesting urban areas but also the specific structural components vulnerable to their attacks, including frames, foundations, floors, walls, ceilings, archives, and garden trees. These insights are crucial for developing targeted mitigation strategies and building resilience against these pervasive subterranean termites, supporting sustainable urban development in Jakarta and beyond.
Antifungal evaluation of some leaves extracts and fungicide against Fusarium oxysporum f.sp. lycopersici causal agent wilt of tomato
Authors: OSMAN AMANI OSMAN ABDALAL , MOHAMED IBRAHIM SAEED 
Published: February 2025

Abstract. Osman AOA, Mohamed IS. 2017. Antifungal evaluation of leaf extracts and fungicide against Fusarium oxysporum f.sp. lycopersici causal agent wilt of tomato. Bioteknologi 14: 1-8. Fusarium-wilt can attack tomato plants, and it is considered a crop threatening disease of the worldwide. Research was conducted to study the anti-fungal activity of various aqueous leaf extracts, i.e., peppermint, sweet basil plants and river red gum, beside fungicide Revus Top® on the growth of the fungi Fusarium oxysporum f.sp. lycopersici, a causal agent of wilt in tomato. In addition to an untreated-control, the experiment took three levels concentration for each aqueous plant extracts, i.e., 25, 50 and 100% and fungicide and applied to tomato plants. Their inhibitory effects were investigated in terms of retarding the fungal growth percentage. The results revealed that despite the inhibitory effect of fungicide against the fungal growth was more dominant, which range from 83.2% to 100% (no growth was recorded), all levels of concentration of aqueous leaf extracts of the three test plants significantly inhibited the growth of Fusarium test compared to the control treatment. Over the course of the experiment, aqueous extracts of river red gum exposed relatively high inhibition zone (44.1, 53.1 and 53.1%) followed by sweet basil (36.8, 51.5, and 54.4%) and peppermint aqueous extract as well (35.5, 39.6 and 39.6%), respectively. There is a common preference that the highest concentration of the plant extracts (peppermint, sweet basil, and river red gum 100%) and fungicide (100%) gave the significantly highest inhibition zones percent (41.9%, 48.5%, 39.3%, and 99.3%) respectively compared to the untreated control. The results showed that the increase of the dosage of aqueous leaf extracts would consistently increase their antifungal activity. Apparently, the test fungus differs in its response to the different concentrations; but overall, growth inhibition increased with the concentration. The study results may be considered promising and serve to encourage others to carry out a phytochemicals analysis of different parts of river red gum plant using different solvents so to determine the bioactive ingredient in each of these parts.
Forecasting mental states in schizophrenia using digital phenotyping data
Authors: Jean Thierry , Guay Hottin Rose , Orban Pierre 
Published: February 2025

The promise of machine learning successfully exploiting digital phenotyping data to forecast mental states in psychiatric populations could greatly improve clinical practice. Previous research focused on binary classification and continuous regression, disregarding the often ordinal nature of prediction targets derived from clinical rating scales. In addition, mental health ratings typically show important class imbalance or skewness that need to be accounted for when evaluating predictive performance. Besides it remains unclear which machine learning algorithm is best suited for forecast tasks, the eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) algorithms being 2 popular choices in digital phenotyping studies. The CrossCheck dataset includes 6,364 mental state surveys using 4-point ordinal rating scales and 23,551 days of smartphone sensor data contributed by patients with schizophrenia. We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). A majority of ordinal regression and binary classification models performed significantly above baseline, with macro-averaged mean absolute error values between 1.19 and 0.77, and balanced accuracy between 58% and 73%, which corresponds to similar levels of performance when these metrics are scaled. Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. In conclusion, when using performance metrics that properly account for class imbalance, ordinal forecast models demonstrated comparable performance to the prevalent binary classification approach without losing valuable clinical information from self-reports, thus providing richer and easier to interpret predictions.
Association between wasting and inadequate breastfeeding practices among infants under six months in SNNPR and Somali regions of Ethiopia: A multilevel cross-sectional study
Authors: Getachew Bethel , Berhane Yemane , Dessie Yadeta , Yallew Walelegn W. , Berhane Hanna Y. , Kim Sunny S. 
Published: February 2025

Background
Wasting is a severe threat to children’s survival and development. Attaining optimal breastfeeding practices for infants under six months of age remains a significant challenge in low-income countries. This study assessed the association between wasting and breastfeeding practices among infants under six months of age in the SNNPR and Somali regions of Ethiopia.

Methods
The study used data from a large feasibility study conducted in the SNNPR and Somali regions of Ethiopia, from August-September 2021. This study involved 895 infants under six months of age with their mothers. The Poisson regression model with robust variance estimation was used to produce adjusted prevalence ratios (APRs) with 95% confidence intervals (CIs).

Results
The prevalence of wasting was 16.5% (95% CI: 14.2, 19.2) among infants under six months of age. Non-exclusive breastfeeding (APR = 1.50; 95% CI:1.02, 2.21), delayed initiation of breastfeeding (APR = 1.52; CI:1.00, 2.30), being male infants (APR = 1.50; 95% CI:1.09, 2.07), and mothers who attained primary level (APR = 0.62; 95% CI: 0.40, 0.95) or secondary level education (APR = 0.30; 95% CI: 0.09, 0.99) were independently associated with wasting in the multivariable analysis.

Conclusion
This study indicates a high prevalence of wasting among infants under six months of age. Non-exclusive breastfeeding and delayed initiation of breastfeeding were the modifiable factors significantly linked to infant wasting. Strengthening breastfeeding promotion and support may help reduce wasting in infants under six months.
Efficacy and safety of dexamethasone or triamcinolone in combination with anti-vascular endothelial growth factor therapy for diabetic macular edema: A systematic review and meta-analysis with trial sequential analysis
Authors: Zhou Bo , Liu Hua , Xiong Feng 
Published: February 2025

Background
The clinical efficacy of anti-vascular endothelial growth factors (anti-VEGFs), corticosteroids, and their combined treatment for diabetic macular edema (DME) has been substantiated by numerous studies. However, it remains uncertain whether the therapeutic benefits of the combined treatment with corticosteroids and anti-VEGFs is superior to those of anti-VEGF monotherapy. Consequently, we conducted a meta-analysis to compare the efficacy and safety of combined treatment with dexamethasone or triamcinolone and anti-VEGF versus anti-VEGF monotherapy in DME treatment.

Methods
An exhaustive search of the literature was performed on February 23, 2024, scanning through the databases including PubMed, Web of Science, Embase, and the Cochrane Library, with the aim of identifying all relevant studies. The combined results for efficacy and safety were analyzed using the standard mean difference (SMD) and relative risk (RR), both of which were presented with 95% confidence interval (CI). The assessment of heterogeneity was conducted via Cochran’s Q test, I2 statistics, and the implementation of a 95% prediction interval (PI). All analyses were performed by R 4.3.1, Stata 12.0, and TSA v0.9.5.10 Beta software.

Results
This meta-analysis incorporated 21 eligible studies. The overall analysis revealed that combined treatment of dexamethasone or triamcinolone with anti-VEGF agents did not demonstrate superiority over anti-VEGF monotherapy in improving best-corrected visual acuity (BCVA) (Dexamethasone: SMD -0.266, 95% CI -1.001 to 0.468, 95% PI -2.878 to 2.346; Triamcinolone: SMD -0.340, 95% CI -1.230 to 0.550, 95% PI -3.554 to 2.874) and reducing central macular thickness (CMT) (Dexamethasone: SMD -1.255, 95% CI -2.861 to 0.350; Triamcinolone: SMD -0.207, 95% CI -0.895 to 0.481, 95% PI -2.629 to 2.215). However, the combination therapy significantly increased the risk of elevated intraocular pressure (RR 5.783, 95% CI 3.007 to 11.121, 95% PI 0.520 to 56.931) and ocular hypertension (RR 8.885, 95% CI 2.756 to 28.649, 95% PI 1.262 to 39.208). Subgroup analysis suggests that dexamethasone plus anti-VEGF therapy showed a greater reduction in central subfield thickness (SMD -0.440, 95% CI -0.755 to -0.126) compared to anti-VEGF monotherapy among patients with persistent DME.

Conclusion
Our study confirmed that dexamethasone or triamcinolone plus anti-VEGF therapy did not show superior efficacy in improving BCVA and reducing CMT in DME patients compared with anti-VEGF monotherapy. Clinicians should weigh the pros and cons comprehensively when implementing combined therapy.
Racial and ethnic disparities in longitudinal trajectories of cardiovascular risk factors in U.S. middle-aged and older adults
Authors: Dupre Matthew E. , Dhingra Radha , Xu Hanzhang , Lynch Scott M. , Yang Qing , Ford Cassie , Green Michael D. , Xian Ying , Navar Ann Marie , Peterson Eric D. 
Published: February 2025

Background
Racial and ethnic disparities in cardiovascular disease (CVD) risk factors are well-documented. However, racial and ethnic differences in the longitudinal changes among multiple CVD risk factors are unknown.

Methods
We used prospective cohort data of U.S. adults aged ≥50 in the 2006–2016 Health and Retirement Study. Group-based multi-trajectory models characterized age-related trajectories of systolic blood pressure ([BP] mmHg), non-HDL cholesterol (mg/dL), diabetes mellitus (DM), and smoking. Racial and ethnic differences in the multi-trajectory profiles were examined using multinomial logistic regression. Karlson-Holm-Breen methods were used to assess factors contributing to these associations.

Results
Among 10,292 participants (median age: 61), approximately 32% had an overall favorable profile of CVD risk factors. Compared with non-Hispanic White adults, non-Hispanic Black adults were more likely to exhibit elevated systolic BP with high risks of DM (relative risk ratio [RRR] = 3.36; 95% CI, 2.69–4.21; P < .001) and with low risks of DM (RRR = 3.23; 95% CI, 2.38–4.38; P < .001). Non-Hispanic Black adults were also more likely to exhibit high rates of smoking with and without other co-occurring risk factors. Hispanic adults were most likely to exhibit high risks of DM with elevated systolic BP (RRR = 1.74; 95% CI, 1.28–2.38; P < .001) and without elevated systolic BP (RRR = 1.90; 95% CI, 1.50–2.40; P < .001). Education, income, and country-of-origin were significantly associated with the excess CVD risks observed among racial and ethnic minority groups.

Conclusions
Significant racial and ethnic disparities were observed in trajectories of CVD risk factors in U.S. adults. Social determinants largely contributed to these associations in non-Hispanic Black adults and Hispanic adults.
Association between red blood cell distribution width-to-albumin ratio at admission and all-cause mortality in patients with acute pancreatitis based on the MIMIC-III database
Authors: Wu Qingsong , Liao Lianyi , Deng Qingjun 
Published: February 2025

Objective
The association between red blood cell distribution width-to-albumin (RDW/ALB) ratio (RAR) and all-cause mortality in patients with acute pancreatitis has not been fully delineated. The purpose of this study was to investigate the impact of RAR at admission on 28-day all-cause mortality in patients with acute pancreatitis.

Design
This investigation was conducted as a retrospective analysis utilizing data from the Medical Information Mart for Intensive Care (MIMIC)-III database.

Participants
Patients with acute pancreatitis were selected from the MIMIC-III database according to predefined eligibility criteria.

Outcome
The outcome was the all-cause mortality rates within 28 days.

Results
Upon screening and excluding ineligible participants, a total of 931 patients with acute pancreatitis who met the inclusion criteria were analyzed. The overall mortality at 28 days was 11.71%. The receiver operating characteristic (ROC) analysis indicated that RAR had a moderate predictive value for all-cause mortality at 28 days, with an area under the curve (AUC) of 0.669 (95%CI, 0.617–0.720; p<0.05), and the cutoff value was 4.39. Divide the patients into a high RAR group and a low RAR group based on the cutoff value. Kaplan-Meier survival analysis demonstrated a statistically significant increase in 28-day mortality among patients in the high RAR group compared to those in the low RAR group. Multivariate analysis indicated that potassium levels, total bilirubin, blood urea nitrogen, lactate, partial thromboplastin time, neutrophil and RAR were independently associated with the 28-day mortality. Multivariate Cox regression analysis confirmed that an elevated RAR was independently associated with increased mortality at 28 day (HR, 2.72; 95% CI, 1.64–4.52; p < 0.001).

Conclusions
This study demonstrated that RAR at admission functioned as a significant prognostic indicator for mortality in patients with acute pancreatitis.
Oligometastatic Hepatocellular Carcinoma to the Perirectal Pelvis, a Rare Site of Distant Spread
Authors: Lupu Gabriel V. , Barritt A. Sidney , Iuga Alina C. , Moon Andrew M. , Sanoff Hanna K. , Yanagihara Ted K. , Gangarosa Lisa M. 
Published: February 2025

ABSTRACT
Prevention, recognition, and staging of hepatocellular carcinoma (HCC) rely primarily on abdominal imaging. Treatment of HCC varies widely based on tumor stage, lymph node involvement, and metastatic disease along with the patient's functional status. We present an unusual case of isolated extrahepatic HCC metastasis involving a solitary lesion in the pelvis, with no other evidence of viable intrahepatic or extrahepatic disease. The detection of this metastasis was aided by regular surveillance magnetic resonance imaging, alpha-fetoprotein monitoring, and pathological diagnosis. Our case highlights the importance of thoroughly evaluating interval changes on surveillance imaging in HCC.
The efficacy of dietary supplements on health status and performance of football players: a systematic review
Authors: Allahyari Pooneh , Shekari Soheila , Aminnezhad Kavkani Bahareh , Ahmadzadeh Mina , Hassanpour Ardekanizadeh Naeemeh , Saeedirad Zahra , Ghorbani Hesari Mohamadtaghi , Bahar Bojlul , Shafaei Hanieh , Khalatbari Mohseni Golsa , Rastgoo Samira , Torkaman Mahdie , Alhouei Barbod , Doaei Saeid , Esmaeili Mina , Gholamalizadeh Maryam 
Published: February 2025

Abstract
This study aimed to review the efficacy of commonly used supplements on the health status and performance of football players. We searched several databases for relevant publications published in English up to June 2024 using keywords such as nutritional supplementation, performance, football, and football players. The available literature indicated that l-arginine supplements may improve cardiovascular function, ventilation, the serum level of lactate, and maximal oxygen consumption (VO2 Max) of football players. Branched-chain amino acids (BCAAs) may improve multiple-choice reaction time. Creatine supplements improve jumping, sprinting, change of direction speed, and reduce fatigue. Among the vitamins, vitamin D improves the serum level of injury-related hormones such as cortisol and testosterone. B vitamins reduce the level of blood lactate in the recovery periods. Vitamin E and vitamin C may improve performance by decreasing oxidative stress and increasing the antioxidant capacity and oxygen delivery to exercising skeletal muscles. Iron supplementation improves endurance capacity. Further studies are warranted to confirm the effects of the supplements on football players, to identify the appropriate dosage of the supplements and also to determine their mechanism of action.
Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers
Authors: Kesgin Bahadır Utku , Teğin Uğur 
Published: February 2025

Abstract
Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency. Optical systems offer promising alternatives to digital neural networks by exploiting light’s parallelism. This study explores a photonic neural network design using spatiotemporal chaos within graded-index multimode fibers to improve machine learning performance. Through numerical simulations and experiments, we show that chaotic light propagation in multimode fibers enhances data classification accuracy across domains, including biomedical imaging, fashion, and satellite geospatial analysis. This chaotic optical approach enables high-dimensional transformations, amplifying data separability and differentiation for greater accuracy. Fine-tuning parameters such as pulse peak power optimizes the reservoir’s chaotic properties, highlighting the need for careful calibration. These findings underscore the potential of chaos-based nonlinear photonic neural networks to advance optical computing in machine learning, paving the way for efficient, scalable architectures.
Cannabis use is associated with a lower likelihood of presence of HIV drug resistance mutations in a retrospective cohort of adults with HIV
Authors: Hale Jonathan F. , Reynolds Shellynea , Kates Heather R. , Palella Roberto D. , Benmassaoud Mohammed M. , Smith Kelly A. , Yu Daohai , Ramirez Servio H. , Andrews Allison M. 
Published: February 2025

Abstract

Objectives
A significant clinical concern in the era of Pre-Exposure Prophylaxis (PrEP) is the increased incidence of HIV Anti-Retroviral Drug Resistance Mutations (ARV-DRM). Previous research has indicated that there is an association between substance use and failed viral suppression, which can lead to ARV-DRM. The goal of this retrospective study was to investigate whether substance use as determined by at least one positive urinalysis screen is associated with increased/decreased odds of having a ARV-DRM.

Methods
This study used firth logistic regression analyses of data retrieved from the National NeuroAIDS Tissue Consortium Data Coordinating Center to examine the relationship between substance use and ARV-DRM. The dataset analyzed 614 participants with the following criteria: HIV+ status, at least one paired plasma and cerebrospinal fluid (CSF) viral load measurement, at least one urinalysis of substance use, at least 18 years of age, and analysis of DRM in CSF/Plasma.

Results
Cannabis use was a significant predictor of ARV-DRM and was associated with a lower odds of having ARV-DRM (odds ratio=0.189), after accounting for demographic variables and the interaction between polysubstance use and cannabis use. A significant negative relationship was observed between a cannabis positive test and high viremia (>1,000 copies/mL) but not between a cannabis positive test and CSF Escape (viral load CSF>viral load plasma).

Conclusions
The above results may suggest an immunomodulatory role for cannabis that impacts the propensity for ARV-DRM. These findings could incentivize future research to further investigate effects of cannabis use on the development of HIV ARV-DRM.
Multicriteria-based optimization and multi-variable non-linear regression analysis of concrete containing blends of nano date palm ash and eggshell powder as cementitious materials
Authors: Adamu Musa , Ibrahim Yasser E. , Charpe Anuja U. , Raut Ashwin Narendra 
Published: February 2025

Abstract
The persistence of global concerns regarding the environmental effects of cement production, particularly its significant contribution to CO2 emissions, led to the search for different supplementary cementitious materials (SCMs). Hence, this research utilized date palm ash (DPA) as an SCM to produce concrete. Nano eggshell powder (NESP) was also incorporated as an additive to binder materials in the concrete to hasten the pozzolanic reaction in the concrete. DPA was used to replace between 0 and 40% of the cement by volume, and the NESP was added in dosage between 0 and 4% by weight of binders. Multi-criteria decision making (MCDM) technique was adopted by employing different methods that include MOORA and VIKOR to select the optimal mix proportions containing DPA and NESP. Furthermore, multi-variable non-linear regression (MNLR) analysis was used to develop mathematical models for predicting the concrete’s properties using the proportions of DPA and NESP as the variables. The findings from the MCDM showed that Mix M8 consistently ranked highest across both MOORA and VIKOR analyses, demonstrating superior performance due to optimal incorporation of 40% DPA and 2% NESP. The developed MNLR models attained high accuracy in predicting with good-to-excellent R² values ranging between 0.79 and 0.94 for most properties.