Turn Point Research Articles

Refocusing Frege’s Other Puzzle: A Response to Snyder, Samuels, and Shapiro

Abstract In their recent article ‘Resolving Frege’s other Puzzle’ Eric Snyder, Richard Samuels, and Stewart Shapiro defend a semantic type-shifting solution to Frege’s other Puzzle and criticize my own cognitive type-shifting solution. In this article I respond to their criticism and in turn point to several problems with their preferred solution. In particular, I argue that they conflate semantic function and semantic value, and that their proposal is neither based on general semantic type-shifting principles nor adequate to the data.

The Potentiality of Moringa Oleifera to Increase Human Performance

Ergogenic aids are the administration of certain substances, blood doping, genetic engineering, modification of exercise equipment, and the provision of natural materials such as plants to increase performance. This study aimed to determine the effect of consumption of Moringa oleifera leaves combined with aerobic exercise on VO₂ Max, Lactate Threshold, and muscle endurance. This study used an experimental methodology with a randomized pre-test and post-test comparison group design. Sixteen taekwondo athletes participated as samples in this study. The samples were split into two groups: the experimental group that received treatment including both aerobic exercise and the consumption of Moringa oleifera leaves, and the control group that received only aerobic exercise. This study consisted of four days of aerobic exercise each week for six weeks. The aerobic activity prescribed was a 30-minute session of vigorous running every day while Moringa oleifera leaves were consumed. Our current results showed that the consumption of leaf extract of Moringa oleifera increased VO₂ max versus control. In addition, Moringa oleifera increased lactate threshold shown at heart rate on turn point which increased from 173.5±1.77 on the pre-test to 176.625±1.51 beats/ minute on post-test. This result indicated that Moringa oleifera increases VO₂ max and Lactate threshold. Furthermore, our current results showed that the gain of the Moringa oleifera group was higher than the control in the push-up test, sit-up test, and wall sit test, respectively. This result indicated Moringa oleifera's ability to increase muscle endurance capacity. This current study indicated that Moringa oleifera leaves have the potential to increase human performance through their ability to increase VO₂ max, lactate threshold, and muscle endurance capacity.

The Seated Figurines Belonging to Vădastra Culture

"Archaeological researches carried out over time in the reference sites belonging to the Vădastra civilization in Oltenia led to the discovery of a significant number of figurines. In the present article, there are to be presented six figurines in the sitting position, belonging to Vădastra culture, from Oltenia, which were discovered in the settlements from Hotărani, La Turn point, and Vlădila, both in the Olt County. Most researchers believe that anthropomorphic plastic representations are related to the cult of fertility and fecundity. "

ConDPC: Data Connectivity-Based Density Peak Clustering

As a relatively novel density-based clustering algorithm, Density peak clustering (DPC) has been widely studied in recent years. DPC sorts all points in descending order of local density and finds neighbors for each point in turn to assign all points to the appropriate clusters. The algorithm is simple and effective but has some limitations in applicable scenarios. If the density difference between clusters is large or the data distribution is in a nested structure, the clustering effect of this algorithm is poor. This study incorporates the idea of connectivity into the original algorithm and proposes an improved density peak clustering algorithm ConDPC. ConDPC modifies the strategy of obtaining clustering center points and assigning neighbors and improves the clustering accuracy of the original density peak clustering algorithm. In this study, clustering comparison experiments were conducted on synthetic data sets and real-world data sets. The compared algorithms include original DPC, DBSCAN, K-means and two improved algorithms over DPC. The comparison results prove the effectiveness of ConDPC.

A model fusion method based on multi-source heterogeneous data for stock trading signal prediction

In the prediction of turning points (TPs) of time series, the improved model of integrating piecewise linear representation and weighted support vector machine (IPLR-WSVM) has achieved good performance. However, due to the single data source and the limitation of algorithm, IPLR-WSVM has encountered challenges in profitability. In this paper, a model fusion method based on multi-source heterogeneous data and different learning algorithms is proposed for the prediction of TPs (MF-MSHD). Multi-source heterogeneous data include weighted unstructured and structured information with different granularities. RF, WSVM, BPNN, GBDT, and LSTM are selected to be the learning algorithms. The differences among meta-models are constructed by different inputs and algorithms as much as possible, and a model fusion rule is designed to determine the final TPs. Moreover, the TPs are generated based on the characteristics of individual stock. For sentiment analysis, a more accurate sentiment dictionary of stock market comments is established. Specifically, the fine-grained data is introduced to jointly determine the accurate trading moment. The prediction level of the proposal improves the accuracy and profitability, and also outperforms the composite indexes. Experimental results show that the profit rate of randomly selected stocks in MF-MSHD reaches 0.5172, while the highest value is 0.2841 in single meta-model and 0.0992 in buy and hold strategy, respectively. The other indicators including the accuracy are also modified. Compared with the increases of 0.1648, 0.4051, and 0.3397 in Shanghai Composite Index, Shenzhen Composite Index, and CSI 300 Index, MF-MSHD shows higher profitability in stock trading signal prediction.

Glucose and Fructose Supplementation and Their Acute Effects on Anaerobic Endurance and Resistance Exercise Performance in Healthy Individuals: A Double-Blind Randomized Placebo-Controlled Crossover Trial.

The effects of glucose, fructose and a combination of these on physical performance have been subject of investigation, resulting in diverse findings. The aim of this study was to investigate how an individualized amount of glucose, fructose, and a combination of these compared to placebo (sucralose) alter endurance performance on a cycle ergometer, lower and upper body resistance exercise performance at individualized thresholds in healthy young individuals. A total of 16 healthy adults (9 females) with an age of 23.8 ± 1.6 years and a BMI of 22.6 ± 1.8 kg/m2 (body mass (BM) 70.9 ± 10.8 kg, height 1.76 ± 0.08 m) participated in this study. During the screening visit, the lactate turn point 2 (LTP2) was defined and the weights for chest-press and leg-press were determined. Furthermore, 30 min prior to each exercise session, participants received either 1 g/kg BM of glucose (Glu), 1 g/kg BM of fructose (Fru), 0.5 g/kg BM of glucose/fructose (GluFru) (each), or 0.2 g sucralose (placebo), respectively, which were dissolved in 300 mL of water. All exercises were performed until volitional exhaustion. Time until exhaustion (TTE) and cardio-pulmonary variables were determined for all cycling visits; during resistance exercise, repetitions until muscular failure were counted and time was measured. During all visits, capillary blood glucose and blood lactate concentrations as well as venous insulin levels were measured. TTE in cycling was 449 ± 163 s (s) (Glu), 443 ± 156 s (Fru), 429 ± 160 s (GluFru) and 466 ± 162 s (Pla) (p = 0.48). TTE during chest-press sessions was 180 ± 95 s (Glu), 180 ± 92 s (Fru), 172 ± 78 s (GluFru) and 162 ± 66 s (Pla) (p = 0.25), respectively. Pre-exercise supplementation of Glu, Fru and a combination of these did not have an ergogenic effect on high-intensity anaerobic endurance performance and on upper and lower body moderate resistance exercise in comparison to placebo.

KAJIAN EFEKTIFITAS PENGGUNAAN BERBAGAI JENIS PIPA PADA BANGUNAN RUMAH TINGGAL BERDASARKAN PEMODELAN INSTALASI PIPA AIR BERSIH DAN ANALISIS ANGGARAN PELAKSANAAN

<p>The installation of clean water is a very important building component to support<br />the activities of residents in the building, because this component is a provider of<br />water needs for building occupants to carry out bathing, washing, cooking activities,<br />and so on. In planning a clean water installation system, four criteria must be met,<br />namely: Sufficient quantity, Hygienic, Optimal technical, and Economical. Research<br />has been carried out by modeling clean water installation to determine the type of<br />pipe that most effectively meets the clean water installation criteria to be applied to<br />residential buildings. The method used in this study is the modeling of a clean water<br />pipe installation with 3 types of pipes (Polyvinyl Chloride (PVC), Poly Propylene<br />Random (PPR), and Galvanis), measuring the flow rate and water pressure by<br />simulating all the open sanitation points and simulating one of the open sanitation<br />points in turn, then performing calculation of Implementation of Budget Plan for<br />pipe installation. The results showed that the flow rate and pressure readings on the<br />PVC pipe installation experienced an increase in the flow rate of 0.00624 m3 and<br />the pressure decreased by 3.015 psi, the PPR pipe installation experienced an<br />increase in the flow rate of 0.0104 m3 and the pressure decreased by 3.86 psi, while<br />the galvanized pipe installation experienced an increase in the flow rate of 0.029 m3<br />and the pressure decreased by 3,285 psi. The cost needed to make a PVC pipe<br />installation is Rp. 336,635, to make a PPR pipe installation of Rp. 514,583, and to<br />install a Galvanized pipe of Rp. 538,370. Based on the results of testing and analysis<br />of the implementation budget, it can be concluded that the most effective type of pipe<br />to be used in the installation of clean water pipes in residential homes is PVC pipe.</p>

Characterizing the Turning Points in Ecosystem Functioning and Their Linkages to Drought and Human Activities over the Arid and Semi-Arid Regions of Northern China

Identifying the changes in dryland functioning and the drivers of those changes are critical for global ecosystem conservation and sustainability. The arid and semi-arid regions of northern China (ASARNC) are located in a key area of the generally temperate desert of the Eurasian continent, where the ecological conditions have experienced noticeable changes in recent decades. However, it is unclear whether the ecosystem functioning (EF) in this region changed abruptly and how that change was affected by natural and anthropogenic factors. Here, we estimated monthly rain use efficiency (RUE) from MODIS NDVI time series data and investigated the timing and types of turning points (TPs) in EF by the Breaks For Additive Season and Trend (BFAST) family algorithms during 2000–2019. The linkages between the TPs, drought, the frequency of land cover change, and socioeconomic development were examined. The results show that 63.2% of the pixels in the ASARNC region underwent sudden EF changes, of which 26.64% were induced by drought events, while 55.67% were firmly associated with the wetting climate. Wet and dry events were not detected in 17.69% of the TPs, which might have been caused by human activities. TP types and occurrences correlate differently with land cover change frequency, population density, and GDP. The improved EF TP type was correlated with the continuous humid climate and a reduced population density, while the deteriorated EF type coincided with persistent drought and increasing population density. Our research furthers the understanding of how and why TPs of EF occur and provides fundamental data for the conservation, management, and better decision-making concerning dryland ecosystems in China.

Historical Trends Associated with Annual Temperature and Precipitation in Aegean Turkey, Where Are We Heading?

The trend analysis of annual temperature (daily average) and total precipitation has been conducted for 14 stations located in the Aegean Region, Turkey. The Sen, Spearman’s rho, and Mann-Kendall test methods are used in the detection of the historical trends in the region. The Pettitt test is also implemented to find the significance of the trend, while the Theil-Sen approach is applied to detect the change point(s) in the time series. Findings of the following study indicate that both precipitation and temperature time series in the selected stations depict statistically significant trends with increasing nature. The rate of increase in precipitation and temperature by the Theil-Sen test is found to be 4.2–7.9 mm/year and 0.20–0.35 °C/decade, respectively. It is also found that the turn points of the temperature trends determined by the Pettitt test occurred in 1998 for all the stations. According to the results, the magnitude of the extreme events would change in the future, which may help in conceptualizing the framework and the resilience of the infrastructures against climate change.

Detecting nontrilocal correlations in a triangle network

Correlations in quantum networks with independent sources exhibit a completely novel form of nonclassicality in the sense that the nonlocality of such correlations can be demonstrated in fixed local input scenarios. Before the pioneering work by M.O.Renou, et al., in [1], the nonlocal feature of such network correlations was directly attributable to standard Bell nonlocality. In [1], the authors provided some of the first examples of triangle network correlations, whose nonlocality cannot be deduced from Bell-CHSH nonlocality. To date, a complete characterization of such scenarios is yet to be provided. Present work characterizes correlations arising due to fixed local measurements in a triangle network under a source independence assumptions. Precisely speaking, a set of criteria is framed in the form of Bell-type inequalities, each of which is necessarily satisfied by trilocal correlations. Possible quantum violation of at least one criterion from the set is analyzed, which in turn points out the utility of the set of criteria to detect nonlocality (nontrilocality) in quantum triangle networks. Interestingly, measurement on a local product state basis turns out to be sufficient to generate nontrilocal correlations in some quantum networks. Noise tolerance of the detection criteria is discussed followed by a generalization of the framework for demonstrating correlations in any n-sided polygon where n is finite.

Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images

This paper aims to forecast stock price Turning Points (TPs) with a developed hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model. To this end, at first, each day of the time series is classified into TPs and Ordinary Points (OPs); therefore, the investors demand to know the TPs precisely to make fewer trades and gain more profits. Secondly, a balancing approach is developed to have a balanced number of TPs and OPs. Thirdly, different technical indicators, as inputs, are converted into 2D images to consider the relationship between the indicators. Fourthly, the Fuzzy C-Means segmenting algorithm is applied to reduce the inputs’ complexity by segmenting them and aid the Neural Networks in being trained more efficiently. In the next step, a classification hybrid CNN-LSTM-ResNet model is proposed to precisely forecast TPs and OPs. Moreover, augmentation techniques, including Residual Networks (ResNet), are employed to strengthen the proposed model. Finally, the forecasted TPs and OPs are relabeled with Buying/Selling/Holding by a presented strategy to make trades. For numerical experiments, two markets of Exchange-traded funds (ETFs) and Dow-30 are used to evaluate the models and strategy’s performance. The results reveal that the proposed CNN-LSTM-ResNet model reaches a profit up to three times in the stocks of Dow-30 and profit up to four times more than the Buy and Hold strategy in the ETFs. More importantly, the proposed model outperforms other benchmarks with an average accuracy of 60.19% in Dow-30 and 63.62% in ETFs.

“I’m Glad That I Was Given a Second Chance to Live”: the Buffering Impact of Turning Points in the Lives of Young People with Foster Care Experience

Young people with a history of out-of-home care placement are at risk for a host of adverse outcomes, yet many demonstrate resilience by young adulthood. One mechanism by which well-being may be achieved is through a turning point (TP). This study had two key questions: (1) What do TPs look like for care-experienced young adults? (2) Does having a TP buffer the impact of early adversity on young adult well-being? Participants (N = 166) were interviewed in pre-adolescence and again in young adulthood. Baseline measures of adversity (ACEs) and life satisfaction were associated with young adult life satisfaction. In young adulthood, participants were asked an open-ended question about having a TP and four fifths of participants stated that they had a TP. Although having a TP was unrelated to demographic factors, living situation histories, or type of maltreatment, a multiple regression predicting young adult life satisfaction found a significant interaction between having a TP and ACEs, over and above baseline control variables. In probing the interaction, there was no association between ACEs and life satisfaction for those with a TP; for those without a TP, however, there was a negative association between ACEs and life satisfaction. In conclusion, having a TP in adolescence seemed to buffer the impact of early adversity on later well-being among young adults with a history of out-of-home care. The nature of the TPs varied, but having any TP seemed to lead to maturation and realizations which may serve as protective factors while navigating the transition to adulthood.

Glucose and Fructose Supplementation and Their Acute Effects on Electrocardiographic Time Intervals during Anaerobic Cycling Exercise in Healthy Individuals: A Secondary Outcome Analysis of a Double-Blind Randomized Crossover-Controlled Trial.

The impact of glucose and fructose supplementation on acute cardiac effects during cardiopulmonary exercise testing (CPET) is a topic that is rarely investigated. The aim of the presented secondary outcome analysis of a double-blind, randomized crossover-controlled trial was to investigate the impact of glucose (Glu), fructose (Fru), glucose and fructose (GluFru), and sucralose on electrocardiogram (ECG), heart rate variability (HRV), premature ventricular complexes (PVCs), and heart rate turn points (HRTP) during CPET. Fourteen healthy individuals (age 25.4 ± 2.5 years, body mass index (BMI) 23.7 ± 1.7 kg/m2, body mass (BM) of 76.3 ± 12.3 kg) participated in this study, of which 12 were included for analysis. Participants received 1 g/kg BM of Glu, 1 g/kg BM of Fru, 0.5 g/kg BM of GluFru (each), and 0.2 g sucralose dissolved in 300 mL 30 min prior to each exercise session. No relevant clinical pathology or significant inter-individual differences between our participants could be revealed for baseline ECG parameters, such as heart rate (HR) (mean HR 70 ± 16 bpm), PQ interval (146 ± 20 ms), QRS interval (87 ± 16 ms) and the QT (405 ± 39 ms), and QTc interval (431 ± 15 ms). We found preserved cardiac autonomic function by analyzing the acute effects of different Glu, Fru, GluFru, or sucralose supplementation on cardiac autonomic function by Schellong-1 testing. SDNN and RMSSD revealed normal sympathetic and parasympathetic activities displaying a balanced system of cardiac autonomic regulation across our participating subjects with no impact on the metabolism. During CPET performance analyses, HRV values did not indicate significant changes between the ingested drinks within the different time points. Comparing the HRTP of the CPET with endurance testing by variable metabolic conditions, no significant differences were found between the HRTP of the CPET data (170 ± 12 bpm), Glu (171 ± 10 bpm), Fru (171 ± 9 bpm), GluFru (172 ± 9 bpm), and sucralose (170 ± 8 bpm) (p = 0.83). Additionally, the obtained time to reach HRTP did not significantly differ between Glu (202 ± 75 s), Fru (190 ± 88 s), GluFru (210 ± 89 s), and sucralose (190 ± 34 s) (p = 0.59). The significance of this study lies in evaluating the varying metabolic conditions on cardiac autonomic modulation in young healthy individuals. In contrast, our participants showed comparable cardiac autonomic responses determined by ECG and CPET.

A Journey to the Core of the Plant Cell Cycle.

Production of new cells as a result of progression through the cell division cycle is a fundamental biological process for the perpetuation of both unicellular and multicellular organisms. In the case of plants, their developmental strategies and their largely sessile nature has imposed a series of evolutionary trends. Studies of the plant cell division cycle began with cytological and physiological approaches in the 1950s and 1960s. The decade of 1990 marked a turn point with the increasing development of novel cellular and molecular protocols combined with advances in genetics and, later, genomics, leading to an exponential growth of the field. In this article, I review the current status of plant cell cycle studies but also discuss early studies and the relevance of a multidisciplinary background as a source of innovative questions and answers. In addition to advances in a deeper understanding of the plant cell cycle machinery, current studies focus on the intimate interaction of cell cycle components with almost every aspect of plant biology.

Dose-response relationship between training load and anaerobic performance in female short-track speed skaters: A prospective cohort study

This study aimed to assess the dose-response relationship (DRR) between measures of training load (TL) and anaerobic performance in female short-track speed skaters. TL data from 22 female short-track speed skaters (mean ± SD; calendar age 20.7 ± 2.01 years, training length 4.18 ± 1.23 years, height 164.20 ± 5.53 cm, weight 52.00 ± 5.58 kg) was collected over a six week period. Participants completed two anaerobic capacity assessments (cycling parameters: total work, maximal anaerobic power [MAnP], power duration indices, maximal blood lactate, fatigue indices, and peak power output [PPO]) pre- and post-training, which included three tests (short-term, intermediate-term, and 120 s maximal anaerobic test). The mean weekly TL measures calculated were total distance, red zone (time spent > 85% of peak heart rate), Edwards training impulse (eTRIMP), Stagno training impulse (gTRIMP), Lucia training impulse, and session ratings of perceived exertion. The gTRIMP identified a curvilinear relationship and explained 79% and 63% of the variance in changes of MAnPi and PPO (R2 = 0.79, 95%CI = 0.64 to 1.00, turn point 621AU; R2 = 0.63, 95%CI = 0.27 to 1.00, turn point 633AU, respectively). Likewise, The eTRIMP identified a curvilinear relationship and explained 62% and 54% of the variance in changes of MAnPi and PPO (R2 = 0.62, 95%CI = 0.11 to 1.00, turn point 485AU; R2 = 0.54, 95%CI = 0.07 to 1.00, turn point 515AU, respectively). All other variables exhibited a DRR below moderate. This study investigated a TL strategy to improve the speed endurance of female short-track speed skaters and suggested the superiority of gTRIMP and eTRIMP methods of internal TL.

Jacinda Ardern's compassionate leadership: a case of social change leadership in action

PurposeThis article investigates the leadership style of Jacinda Ardern, Prime Minister of Aotearoa New Zealand. It uses the model of Social Change Leadership (SCL) to evaluate her approach to leadership as well as some notable successes and failures of her premiership.Design/methodology/approachThe article adopts a grounded theory approach in which five increasingly refined research iterations were conducted to detect and articulate patterns of significance (Strauss and Corbin, 1997). Ultimately, the team selected 19 leadership examples to be cross referenced with the SCL model.FindingsThe article finds that in terms of leadership style Ardern corresponds closely to the SCL framework. The 19 examples show clusters of behavior that clearly denote a SCL constellation in terms of her approach. It also finds, however, that in terms of performance goals there is a less clear picture with less coherence to the framework. These findings in turn point to an interesting potential tension in the SCL model that has hitherto not been acknowledged.Originality/valueThe article is the first of its kind to apply SCL to a major global political leader. It is the first structured, academic assessment of Ardern's leadership. It adds a theoretical contribution to ongoing discussions on the efficacy and utility of the SCL framework.

Titan Stratospheric Haze Bands Observed in Cassini VIMS as Tracers of Meridional Circulation

We analyzed Cassini data to derive the nature and evolution of circumglobal annuli observed in the stratosphere of Titan, Saturn's largest moon. The annuli were observed between 2004 and 2017 in data acquired by the Visual and Infrared Mapping Spectrometer on board the Cassini spacecraft. We observed a north polar annulus, an equatorial annulus, and several secondary annuli. Pre-Cassini telescopic observations by the Hubble Space Telescope and Keck reported an atmospheric feature consistent with the presence of a south polar annulus between 1999 and 2001, although this feature was not observed by Cassini. Relative to the atmosphere near the annuli, they appear dark at 300–500 nm and bright in methane absorption channels such as the ones at 900 and 1150 nm. The stratosphere seems to rotate around the north pole. Alternatively, it seems to rotate about a point offset from solid-body rotation axis by a few degrees; this point in turn rotates around the solid-body rotation axis.

A binary integer programming (BIP) model for optimal financial turning points detection

PurposeThis paper aims to detect the most profitable, i.e. optimal turning points (TPs), from the history of time series using a binary integer programming (BIP) model. TPs prediction problem is one of the most popular yet challenging topics in financial planning. Predicting profitable TPs results in earning profit by offering the opportunity to buy at low and selling at high. TPs detected from the history of time series will be used as the prediction model’s input. According to the literature, the predicted TPs’ profitability depends on the detected TPs’ profitability. Therefore, research for improving the profitability of detection methods has been never given up. Nevertheless, to the best of our knowledge, none of the existing methods can detect the optimal TPs.Design/methodology/approachThe objective function of our model maximizes the profit of adopting all the trading strategies. The decision variables represent whether or not to detect the breakpoints as TPs. The assumptions of the model are as follows. Short-selling is possible. The time value for the money is not considered. Detection of consecutive buying (selling) TPs is not possible.FindingsEmpirical results with 20 data sets from Shanghai Stock Exchange indicate that the model detects the optimal TPs.Originality/valueThe proposed model, in contrast to the other methods, can detect the optimal TPs. Additionally, the proposed model, in contrast to the other methods, requires transaction cost as its only input parameter. This advantage reduces the process’ calculations.

HUMAN AND DIVINE LAW. SOPHOCLES’ “ANTIGONE” IN HEGEL’S “PHENOMENOLOGY OF SPIRIT”

The article is devoted to the study of the relationship between philosophy and literature on the example of Sophocles’ “Antigone” and Hegel’s “Phenomenology of Spirit”. The origin of literary works and philosophical works is based on the experience of everyday life. Literature presents this experience in images; philosophy elevates the experience of historical life into concepts. The result of philosophical reflection is the concept of being. In the history of European metaphysics, being is thought of as the being of being. The metaphysics of German idealism rises to the concept of Being as the basis of existence. This concept becomes the starting point in the famous turn in Heidegger’s thinking. The original Being is the will. In the interpretation of Hegel’s “Antigone”, being as a will appears in the form of concepts of human and divine law. The dialectical interaction of these laws forms the basis of the movement of the historical world of human life.

Electromyographic and Systemic Physiological Thresholds in Single-Joint Elbow Flexion Movements.

Reported relationships between electromyographic (EMG) thresholds and systemic thresholds based on lactate, ventilation, or heart rate are contradictory. This might be related to the complexity of the investigated whole-body movements involving many muscles with different activation patterns. Therefore, the aim of the study was to investigate these relationships during an incremental single-joint exercise. Eighteen male subjects (29.7 [4.4]y) performed single-arm elbow flexions on a biceps curl machine with loads increasing every minute until exhaustion. EMG signals of the main elbow flexors (short and long head of the biceps brachii, flexor carpi radialis, and brachioradialis) as well as gas exchange variables, blood lactate concentration, and heart rate were measured, and 2 turn points based on a 3-phase model of metabolism were determined for each variable. The first and second turn points for EMG were determined at 32.0% to 33.1% and 64.4% to 66.5% of maximal achieved performance (maximum weight), respectively. Systemic turn points were determined at 33.3% to 34.4% and 65.9% to 66.7% of maximum weight and were not significantly different from EMG turn points. Furthermore, systemic and EMG turn points showed a strong or very strong relationship at the first (ρ = .54-.93, P < .05) and second turn point (ρ = .76-.93, P < .01). A close relationship between EMG and systemic turn points could be confirmed for the applied movement of a small muscle group. The determination of local single muscle thresholds using EMG provides additional muscle-specific information about performance-limiting properties of muscles involved in endurance-type incremental exercise.