Lower Values Research Articles

Prevalence and Correlates of Dry Eye in a German Population Sample.

In this cross-sectional survey, we assessed the prevalence of dry eye disease (DED) in a representative German population sample. In addition, we examined the associations between DED, health-related quality of life (HRQoL), and level of fatigue. Finally, we further validated the German version of the Standard Patient Evaluation of Eye Dryness (SPEED) questionnaire and present norm data of the German population. A random sample of German residents aged 16 years and older was recruited between October and December 2021. All participants completed the SPEED, Short Form 36, and Multidimensional Fatigue Inventory 20 questionnaires. Of the 2495 participants who completed the survey, 450 (21.6%; 95% confidence intervals 20.0-23.1) reported a SPEED total score of ≥4, indicating a positive screening for DED. DED was significantly more common in women and older age. Participants who screened positive for DED reported significantly higher levels of fatigue and lower values in all domains of HRQoL. A receiver operating characteristic curve of the SPEED was generated using an ophthalmologist's diagnosis. The area under the curve was estimated to be 0.886 (95% confidence intervals 0.858-0.913). A cutoff score ≥4 seemed to be appropriate as an indicator of DED. Cronbach's α was excellent (0.95). DED is common in the German population. We confirmed associations with sex, age, HRQoL, and fatigue level, indicating a high burden of DED. The German version of the SPEED is a valid instrument for the assessment of DED symptoms.

Synthesis, characterization, and evaluation of the anticancer properties of pH-responsive carvacrol-zinc oxide quantum dots on breast cancer cell line (MDA-MB-231).

Since most solid tumors have a low pH value, a pH-responsive drug delivery system may offer a broad method for tumor-targeting treatment. The present study is used to analyze the anticancer activity of carvacrol-zinc oxide quantum dots (CVC-ZnO QDs) against breast cancer cells (MDA-MB-231). CVC-ZnO QDs demonstrate pH responsive and are specifically released within the acidic pH tumor microenvironment. This property enables targeted drug delivery exclusively to cancer cells while minimizing the impact on normal cells. To the synthesized ZnO QDs, the CVC was loaded and then examined by X-ray diffraction, ultraviolet-visible, Fourier transform infrared spectrophotometer, scanning electron microscopy-energy dispersive X-ray, and transmission electron microscopy. For up to 20 h, CVC release was examined in different pH-buffered solutions. The results showed that carvacrol release was stable in an acidic pH solution. Further, cytotoxicity assay, antioxidant, and lipid peroxidation activity, reactive oxygen species, mitochondrial membrane potential, nuclear damage, and the ability of CVC-ZnO QDs to cause apoptosis were all examined. Apoptosis markers such as Bcl2, Bax, caspase-3, and caspase-9, were also studied. In conclusion, the CVC-ZnO QDs destabilized the MDA-MB-231cells under its acidic tumor microenvironment and regulated apoptosis.

Multiple faults detection in doubly-fed induction generator wind turbine using artificial neural network

The development of fault detection methods in wind turbine (WT), especially for single fault detection, is continuously increasing. However, the rapid growth of fault detection in WT leads to another challenge where multiple faults can occur. The single fault detection method in WT is no longer reliable, especially when multiple faults occur simultaneously. Therefore, multiple faults detection in doubly-fed induction generators (DFIG) WT was proposed using an artificial neural networks (ANN) model. These multiple faults include internal and external stator faults happening simultaneously. Internal stator faults cover inter-turn short circuit faults and open circuit faults, while external stator faults cover loss of excitation and external short circuit faults. The performance of the developed multiple faults detection model was measured using accuracy and the root mean square error (RMSE) value. The results show that the developed model performs well with high accuracy and a low RMSE value. Thus, the developed model can accurately detect the coexistence of multiple faults in DFIG WT.

Lungs Tumor Classification using Convolutional Neural Network

The research focuses on classifying lung cancer using the VGG-19 architecture. The datasets were sourced from Iraq-Oncology Teaching Hospital with 70% of the data allocated for training and 30% for testing. Performance metrics were computed to evaluate the effectiveness of the classification method. Python is utilized for designing the algorithm and executed using Goggle Colab. The lung tumor classification using VGG-19 offers an accuracy of 95%, sensitivity of 88.79%, specificity of 98.25 %, and F1-Score of 93.28%. However, the low sensitivity value indicates that the VGG-19 architecture is not accurately predicting benign and malignant cases.

Decision tree-based approach to extrapolate life cycle inventory data of manufacturing processes

Life cycle assessment (LCA) plays a crucial role in green manufacturing to uncover the critical aspects for alleviating the environmental burdens due to manufacturing processes. However, the scarcity of life cycle inventory (LCI) data for the manufacturing processes is a considerable challenge. This paper proposes a novel approach to extrapolate LCI data of manufacturing processes. Taking advantage of LCI data in the Ecoinvent datasets, decision tree-based supervised machine learning models, namely decision tree, random forest, gradient boosting, and adaptive boosting, have been developed to extrapolate the data of GHG emissions, i.e., carbon dioxide, nitrous oxide, methane, and water vapor. Initially, a correlation analysis was conducted to derive the most influential factors on GHG quantities resulting from manufacturing activities. First, the collected data have been preprocessed and split into train and test sets (70% and 30%, respectively). Second, a five-fold cross-validation method was applied to tune the hyperparameters of the models. Then, the models were re-trained using the best hyperparameters and evaluated using the test set. The results reveal that the Gradient Boosting model has a superior predictive performance for extrapolating the GHG emission data, with average coefficients of determination (R2) on the test set <0.95. Moreover, the model predictions involve relatively low values of the average root mean squared error and an average mean percentage of error on the test set. The correlation and feature importance analyses emphasized that the workpiece material and manufacturing technology have a considerable effect on natural resource consumption, i.e., energy, material, and water inflows into the process. Meanwhile, energy consumption, water usage, and raw aluminum depletion were the most influential factors in GHG emissions. Eventually, a case study to extrapolate the inflows and the outflows for new manufacturing activities has been conducted using the validated models. The proposed GraBoost model provides a computational supplementary approach to estimate and extrapolate the GHG emissions for different manufacturing processes when LCI data are incomplete or don't exist within LCI databases.

Exploring the Capacity of Agricultural Residue as a Sustainable Energy Resource to Enhance Madagascar's Energy Security

Biomass represents a significant and emerging energy source. This study assessed and compared the potentiality of agricultural waste to be converted into renewable energy sources in Madagascar. A model for estimating biomass energy potential was exploited, and relevant data about crop and animal populations was extracted from the Food and Agriculture Organization's statistics database (FAOSTAT). Five types of crop residue were considered, including rice, sugarcane, corn, beans, and cassava, and four animal species like cattle, pigs, chickens, and sheep. Diverse conversion actors; the Ratio Product (RPR), Surplus Availability Factor (SAF), and Low Heating Value (LHV), were obtained from various literature sources and were used to assess the potential energy from agricultural residue. Subsequently, all collected data were meticulously compiled utilizing Microsoft Excel and subjected to comprehensive descriptive analysis facilitated by the OriginLab software, enabling advanced data manipulation and visualization. Our findings reveal that Madagascar generates approximately 27.78 million tons of agricultural residue annually, with the potential to produce 181.91 petajoules (PJ) of energy, primarily derived from crop residue, estimated at 128.75 PJ annually, which constitutes 70.8% of the total energy potential. With appropriate technology, the estimated energy potential could fulfill 48.7% of total energy consumption in Madagascar. Consequently, future investigations should prioritize research efforts to identify and implement optimal conversion technologies.

Oocyte collection and outcome following oncologic treatment: a retrospective multicentre study

PurposeThis study assesses fertility treatment outcomes in female patients who had undergone successful oocyte retrieval following cancer therapy.MethodsBetween January 2020 and December 2022, we collected fertility treatment data from six participating centres in Spain and Germany. All patients associated with this data had undergone successful oocyte retrieval following cancer treatment.ResultsWomen had most frequently been diagnosed with a haematological (41.9%), breast (22.6%) or gynaecological malignancy (12.9%); two thirds (67.7%) had previously received a chemotherapy, half a radiotherapy (53.3%) and 45.2% had undergone surgery. On average, 7 years (range 0–28) had passed between cancer treatment and first ovarian stimulation cycle. Forty-nine ovarian stimulation cycles had been conducted on these 31 women between 2004 and 2021 (mean age at first oocyte collection following treatment: 34.8 ± 5.7 years). On average, 7 oocytes were collected per cycle (range 0–26) and 11 were collected per patient (range 0–51). Out of the 190 oocytes collected for immediate use of artificial reproductive technique, 139 were fertilised at a rate of 73%. Live birth rate per fresh transfer was 45% (9/20); no births were reported following cryotransfer (0/10). Mean values of anti-Mullerian hormone (AMH) before stimulation declined with time since treatment; however, oocytes were successfully collected from four women with an AMH of <0.5 ng/ml, although no pregnancies were reported. Ten pregnancies were documented; 3 ended in miscarriage. Two twin and 5 single pregnancies resulted in nine live births. On average, children were carried to term.ConclusionIn this small cohort, oocytes were successfully collected after chemotherapy and radiotherapy, despite—in individual cases—low AMH values. Further studies are needed to enrich the database and ultimately provide appropriate counselling to female cancer patients regarding expectations and ART outcome following cancer therapy.

Thermal Transport Properties of Two-Dimensional Janus MoXSiN2 (X = S, Se, and Te).

The design of Janus materials offers an effective means of regulating both their physical and chemical properties, leading to their application in various fields. However, the underlying mechanism governing the modulation of the thermal transport characteristics through the construction of Janus materials remains unclear. In this work, we introduce VI-group elements into the MoSi2N4 structure, yielding two-dimensional Janus MoXSiN2 (X = S, Se, and Te) and systematically investigate their thermal transport properties based on first-principles calculation methods. Our findings reveal that the lattice thermal conductivities (κl) of MoSSiN2, MoSeSiN2, and MoTeSiN2 are 47.2, 24.3, and 40.6 W/mK at 300 K, respectively, significantly lower than that of MoSi2N4 (224 W/mK). Such low κl values mainly come from the introduction of X atoms, which enhances phonon scattering and reduces phonon vibration frequencies. In addition, MoTeSiN2 exhibits a higher κl compared to MoSeSiN2, contrary to the trend observed in most materials containing VI-group elements, where κl decreases gradually from S to Te. This anomalous behavior can be attributed to the competitive result between its lower phonon vibrational frequency and weaker phonon anharmonicity of MoTeSiN2. This work elucidates the inherent mechanism governing the modulation of thermal transport properties in Janus materials, thereby enhancing the potential application of Janus MoXSiN2 in engineering thermal management.

A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction

These days, there is a lot of demand for cryptocurrencies, and investors are essentially investing in them. The fact that there are already over 6,000 cryptocurrencies in use worldwide because of this, investors with regular incomes put money into promising cryptocurrencies that have low market values. Accurate pricing forecasting is necessary to build profitable trading strategies because of the unique characteristics and volatility of cryptocurrencies. For consistent forecasting accuracy in an unknown price range, a variation point detection technique is employed. Due to its bidirectional nature, a Bi-LSTM appropriate for recording long-term dependencies in data that is sequential. Accurate forecasting in the cryptocurrency space depends on identifying these connections, since values are subject to change over time due to a variety of causes. In this work, we employ four deep learning-based models that are LSTM, FB-Prophet, LSTM-GRU and Bidirectional-LSTM(Bi-LSTM) and these four models are compared with Silverkite. Silverkite is the main algorithm of the Python library Graykite by LinkedIn. Using historical bitcoin data from 2012 to 2021, we utilized to analyse the models’ mean absolute error (MAE) and root mean square error (RMSE). The Bi-LSTM model performs better than others, with a mean absolute error (MAE) of 0.633 and a root mean square error (RMSE) of 0.815. The conclusion has significant ramifications for bitcoin investors and industry experts.

Predictive value of monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) for poor prognosis after intravenous thrombolytic therapy for acute ischaemic stroke

IntroductionThe purpose of this study was to examine the relationship between monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) and poor short-term 3-month and long-term 6-month prognosis after intravenous thrombolysis in patients with acute ischaemic stroke.Material and methodsBy retrospective analysis, 763 eligible patients with acute ischaemic stroke with intravenous thrombolysis were included in the study, and the general data and clinical laboratory examination results of the patients were collected. The relationship between MHR and poor prognosis at 3 and 6 months in patients with intravenous thrombolysis was derived by stepwise regression using the R language, followed by 1:1 propensity score matching to determine the MHR threshold and to investigate the relationship between high and low MHR values and poor prognosis.ResultsMHR level was found to predict the prognosis of intravenous thrombolysis patients with acute ischaemic stroke, and it was an effective predictor of poor prognosis at 3 and 6 months after intravenous thrombolysis. MHR has a threshold of 0.584. High MHR levels were strongly associated with a poor 3-month prognosis of intravenous thrombolysis in patients with acute ischaemic stroke (OR = 5.657; 95% CI: 4.124–7.762; p &lt; 0.001). High MHR level was closely associated with poor prognosis of acute ischaemic stroke patients with intravenous thrombolysis at 6 months (OR = 4.923; 95% CI: 3.603–6.726; p &lt; 0.001).ConclusionsMHR level is a valid predictor for poor prognosis at 3-6 months after intravenous thrombolysis in patients in acute ischaemic stroke.

Dynamics of acyl carrier protein in de novo fatty acid synthesis by Enterococcus faecalis based on NMR spectroscopy and molecular dynamics simulation

Fatty acid synthesis (FAS) is essential for the production of biological components such as cell membrane building blocks and metabolism-related compounds. There are two types of bacterial FAS: de novo FAS and FAS through the incorporation of external fatty acids. Enterococcus faecalis possesses two distinct acyl carrier proteins (ACPs), AcpA (EfAcpA) and AcpB (EfAcpB), which serve as cofactors in the two types of FAS. We previously showed through NMR spectroscopy that EfAcpA comprises only three long helices, while EfAcpB consists of four helices, including a short α3 helix, similar to other bacterial ACPs. An increase in melting temperature (Tm) from 64.0 to 76.1 °C confirmed that protein structural stability increased in the presence of calcium ions. Using NMR spectroscopy, two metal binding sites were identified in EfAcpA: site A was located at the start of the α2 helix while site B was situated near the α2 helix and α2α3 loop. To understand the importance of structural flexibility of EfAcpA in de novo FAS, we investigated its motional properties using backbone spin relaxation and molecular dynamics simulations. The α2α3 loop in EfAcpA displayed high flexibility, as indicated by low heteronuclear NOE values. The residues Val51, Glu54, and Gly58 exhibited significant R2 values, likely due to the movement of this loop. EfAcpA created a novel cavity towards the α1α2 loop, in contrast to conventional cavity formation in most bacterial ACPs. This unique behavior was attributed to the flexibility exhibited by the α2α3 loop. The structural and motional characteristics of EfAcpA confirmed that its conformational plasticity is a crucial factor influencing acyl chain transfers in de novo FAS. Given the increasing antibiotic resistance observed for E. faecalis in clinical settings, the findings of this study may contribute to the development of more effective pathogen management strategies targeting FAS.

High temperature and nib acidification during cacao-controlled fermentation improve cadmium transfer from nibs to testa and the liquor’s flavor

Migration of nib Cd to the testa during fermentation can be achieved with high temperatures (> 45 °C) and low nib pH values (< 5.0) using spontaneous fermentation. However, this low pH can lead to low flavor quality. This study used three controlled temperature fermentation treatments on three cacao genotypes (CCN 51, ICS 95, and TCS 01) to test its effects on the nib pH, the migration of nib Cd to the testa, and the liquor flavor quality. All treatments were effective in reducing the total nib Cd concentration. Nevertheless, the treatment with the higher mean temperature (44.25 °C) and acidification (pH 4.66) reached the highest mean nib Cd reductions throughout fermentation, a 1.37 factor in TCS 01, promoting the development of fine-flavor cocoa sensorial notes. In unfermented beans, the Cd concentration of nibs was higher than that of the testa, and the Cd migration proceeded down the total concentration gradient. However, Cd migration was observed against the concentration gradient (testa Cd > nib Cd) from the fourth day. Cd migration could increase by extensive fermentation until the sixth day in high temperatures and probably by the adsorbent capacity of the testa. Genotype-by-treatment interactions were present for the nib Cd reduction, and a universal percentage of decrease of Cd for each genotype with fermentation cannot be expected. Selecting genotypes with highly adsorbent testa combined with controlled temperatures would help reduce the Cd concentration in the cacao raw material, improving its safety and quality.

Dynamic changes in dissolved organic matter during transport of landfill leachate in porous medium.

The dynamic changes in dissolved organic matter (DOM) during the transport of landfill leachate (LL) in porous medium should be explored, considering the high levels of DOM in the LL of municipal solid waste. Column experiments were carried out at 25°C at a Darcy's flux of 0.29cm/h for 2722h to compare the transport of Cl-, ultraviolet absorbance at 254nm (UV254), chemical oxygen demand (COD), and dissolved organic carbon (DOC) in the simulated porous medium by using the CXTFIT2.1 code. Results showed that the convection-dispersion equation (CDE) could describe Cl- transport well. The high levels of λ and D could be highly correlated with the physicochemical properties of the porous medium. The transport of the studied DOM with evident aromatic character could be described appropriately by the CDE model with the first-order reaction assumption, considering the similar variation trends of UV254, COD, and DOC in the effluent during experiments. Specifically, the values of retardation factor (R) were in the following order: DOC > UV254 > COD, whereas the low values of the first-order decay coefficient (k1) for DOC and COD were still higher than that for UV254. High contents of humic-like substances in the DOM with complex toxic components resulted in the natural low removal efficiencies of COD, DOC, and UV254 (≤ 23%), which could be confirmed by the variations of fluorescence index (FI) and humification index (HIX) in the effluent. The results should be helpful in evaluating the environmental risk induced by the LL leakage in a landfill site.

Green synthesis of silver nanoparticle using pollen extract from Tetragonisca angustula a stingless bee.

This study explores the green synthesis of silver nanoparticles (AgNPs) using a methanolic extract of fermented pollen from Tetragonisca angustula, a species of stingless bees. The AgNPs exhibit spherical morphology, low charge values, and suspension stability, with their unique composition attributed to elements from the pollen extract. Antioxidant assays show comparable activity between the pollen extract and AgNPs, emphasizing the retention of antioxidant effects. The synthesized AgNPs demonstrate antimicrobial activity against multidrug-resistant bacteria, highlighting their potential in combating bacterial resistance. The AgNPs exhibit no toxic effects on Drosophila melanogaster and even enhance the hatching rate of eggs. The study underscores the innovative use of stingless bee pollen extract in green synthesis, offering insights into the varied applications of AgNPs in biomedicine.

Validity of self-reported hysterectomy and oophorectomy in a population-based cohort: The HUNT study.

To validate self-reported hysterectomy and bilateral oophorectomy. Validation study. Large population-based cohort study in Norway: The Trøndelag Health Study (HUNT). The Trøndelag Health Study 2 and 3 (HUNT2 and HUNT3) included questions on gynaecological history. Women who answered questions regarding hysterectomy and/or oophorectomy were included. In total, 30 263 women were included from HUNT2 (1995-1997) and 23 138 from HUNT3 (2006-2008), of which 16 261 attended both HUNT2 and HUNT3. We compared self-reported hysterectomy and bilateral oophorectomy with electronic hospital procedure codes. Sensitivity, specificity, positive predictive value and negative predictive value of self-reported hysterectomy and bilateral oophorectomy, by comparing with hospital procedure codes. Self-reported hysterectomy and bilateral oophorectomy in HUNT2 and/or HUNT3 both had specificity and negative predictive value above 99%. Self-reported hysterectomy had a sensitivity of 95.9%, and for bilateral oophorectomy sensitivity was 91.2%. Positive predictive value of self-reported hysterectomy was 85.8%, but for self-reported bilateral oophorectomy it was 65.4%. Self-reported hysterectomy corresponded quite well with hospital data and can be used in epidemiological studies. Self-reported bilateral oophorectomy, on the other hand, had low positive predictive value, and results based on such data should be interpreted with caution. Women who report no previous hysterectomy or bilateral oophorectomy can safely be classified as unexposed to these surgeries.

Herbicide changes the role of body condition in mating interactions of a wolf spider but courtship is primarily affected by female immunity

AbstractAnimals that live in human‐impacted landscapes experience an onslaught of novel stimuli that may interfere with natural communication pathways. During mating, this interference may alter the criteria deployed to assess potential mates as males and females find they must shift their focus and emphasize alternative sensory modalities. The wolf spider, Tigrosa helluo (Araneae, Lycosidae) is common in agricultural fields where commercial formulations of herbicides with glyphosate as the active ingredient are regularly applied. With the development of genetically resistant crops, glyphosate‐based herbicides have become among the most widely used and heavily applied agricultural chemicals in the world. In a laboratory experiment, we explored the effects of this herbicide on male—female interactions during courtship, mating, and sexual cannibalism. We expected that it might impact assessment such that there was a shift in the features that were important to the outcome of mating interactions. When herbicide was present, female body condition, an indication of recent feeding success, became important to mating success. This result was, in part, due to higher rates of sexual cannibalism in parings of males and females with low body condition values. The leg raises and pedipalp waves that males perform in courtship were not affected by herbicide nor were they related to mating success but, across all treatments, they were negatively correlated with lytic activity of females as measured just prior to pairing. This result indicates that males detected this aspect of the female's physiology and that a strong immune response made the female less attractive, possibly because it indicated a current or recent infection. Taken together, these results verify that a common herbicide shifts mating criteria used by an agribiont spider and, separate from the herbicide, the immune status of females affects the reactions of courting males.

Soil Degradation due to Long-term Citrus Cultivation in the Upper Vietnamese Mekong Delta

This study investigated the impact of tree age on soil properties in citrus orchards in the upper Vietnamese Mekong Delta province, examining orchards of four age groups (&lt;10, 10–20, 21–30, and over 30 years) at two soil depths (0–20 cm and 20–50 cm). Findings indicate notable variations in soil physicochemical properties with age and depth. In older orchards (over 20 years), bulk density increased and soil pH decreased, with overall low pH values (3.5–5.0) observed. Electrical conductivity remained consistent across all ages. Key nutrients such as nitrogen (N), phosphorus (P), potassium (K), soil organic carbon (SOC), and cation exchange capacity (CEC) generally decreased with the age of the orchards. These trends were consistent across both soil layers. The study highlights the influence of prolonged cultivation on soil health and provides insights for developing strategies to enhance productivity and sustain agricultural practices in citrus orchards.

The spatiotemporal evolution and impact of green land use efficiency in resource-based cities in the yellow river basin under the background of sustainable development

Introduction: With the rapid advancement of industrialization and urbanization in the Yellow River Basin, the number of resource-based cities is constantly increasing, leading to an imbalance in land use structure and the gradual worsening of adverse effects such as damage to the ecological environment. Hence, improving the efficiency of green land use in resource-based cities has extremely crucial ecological and practical meaning for sustainable development.Methods: This study comprehensively considers interdisciplinary theories such as ecology and management, and combines the actual situation of resource-based cities in the Yellow River Basin to construct a new type of urban field green utilization efficiency assessment index system. To promote the coordinated development of different dimensions, the corresponding spatiotemporal evolution process and related influencing factors were also analyzed. Results and discussion: The research results indicate that the overall spatial evolution of the Yellow River Basin has active correlation. During the period from 2006 to 2022, the number of high value agglomeration cities in upstream resource-based cities increased by nearly 25%; Nearly 3% of resourcecities exhibit low-value heterogeneity, while the number of resource cities with low value agglomeration has decreased to 0. In addition, population density and scientific education expenditure level are key factors affecting the ratio of green land use in resource-based cities, while the impact of economic indicators is gradually decreasing. In summary, the assessment indicator system for urban land green utilization ratio proposed in the study is more comprehensive, and the spatial distribution results of influencing factors can provide a solid data foundation for decision-makers.

Cross-Cultural Adaptation and Validation of the Portuguese Version of the SARC-F in Community-Dwelling Older Adults

(1) Background: The goal of this study was to analyze the reliability and validity of the Portuguese version of the SARC-F in older adults. (2) Methods: A total of 100 participants (77.1 ± 7.36 years, 73% women) were included in the study. In a first phase, the Portuguese SARC-F was adapted following the standardized forward–backward translation procedure, and internal consistency as well as inter-rater and test–retest reliability of the Portuguese SARC-F were analyzed. Secondly, clinical validation was evaluated by comparing the SARC-F total score with five operational definitions of sarcopenia and with other sarcopenia-related measurements. Discriminant validity, with respect to low muscle mass and strength and physical function were analyzed. (3) Results: The Portuguese SAR-F showed acceptable internal consistency (Cronbach α = 0.82), excellent inter-rater reliability (total score), and substantial to excellent test–retest reliability (ICC = 0.891 for the total score). Specificity ranged from 72.5% (FNIH) to 73.4 (IGWS), and negative predictive values went from 91.8% (EWGSOP1) to 97.3% (FNIH), but low sensitivity and positive predictive value were observed. The Portuguese SARC-F showed a moderate ability to discriminate people with low muscle strength (AUC = 0.78) and gait speed (AUC = 0.89). (4) Conclusions: The Portuguese SARC-F is a valid and reliable tool for ruling out sarcopenia in community-dwelling older adults and can discriminate between people with low handgrip strength and gait speed.

Synergistic Use of Multi-Temporal Radar and Optical Remote Sensing for Soil Organic Carbon Prediction

Exploring soil organic carbon (SOC) mapping is crucial for addressing critical challenges in environmental sustainability and food security. This study evaluates the suitability of the synergistic use of multi-temporal and high-resolution radar and optical remote sensing data for SOC prediction in the Kaffrine region of Senegal, covering over 1.1 million hectares. For this purpose, various scenarios were developed: Scenario 1 (Sentinel-1 data), Scenario 2 (Sentinel-2 data), Scenario 3 (Sentinel-1 and Sentinel-2 combination), Scenario 4 (topographic features), and Scenario 5 (Sentinel-1 and -2 with topographic features). The findings from comparing three different algorithms (Random Forest (RF), XGBoost, and Support Vector Regression (SVR)) with 671 soil samples for training and 281 samples for model evaluation highlight that RF outperformed the other models across different scenarios. Moreover, using Sentinel-2 data alone yielded better results than using only Sentinel-1 data. However, combining Sentinel-1 and Sentinel-2 data (Scenario 3) further improved the performance by 6% to 11%. Including topographic features (Scenario 5) achieved the highest accuracy, reaching an R2 of 0.7, an RMSE of 0.012%, and an RPIQ of 5.754 for the RF model. Applying the RF and XGBoost models under Scenario 5 for SOC mapping showed that both models tended to predict low SOC values across the study area, which is consistent with the predominantly low SOC content observed in most of the training data. This limitation constrains the ability of ML models to capture the full range of SOC variability, particularly for less frequent, slightly higher SOC values.