This study demonstrates the complexity and importance of water quality as a measure of the health and sustainability of ecosystems that directly influence biodiversity,human health,and the world economy.The predictabi...This study demonstrates the complexity and importance of water quality as a measure of the health and sustainability of ecosystems that directly influence biodiversity,human health,and the world economy.The predictability of water quality thus plays a crucial role in managing our ecosystems to make informed decisions and,hence,proper environmental management.This study addresses these challenges by proposing an effective machine learning methodology applied to the“Water Quality”public dataset.The methodology has modeled the dataset suitable for providing prediction classification analysis with high values of the evaluating parameters such as accuracy,sensitivity,and specificity.The proposed methodology is based on two novel approaches:(a)the SMOTE method to deal with unbalanced data and(b)the skillfully involved classical machine learning models.This paper uses Random Forests,Decision Trees,XGBoost,and Support Vector Machines because they can handle large datasets,train models for handling skewed datasets,and provide high accuracy in water quality classification.A key contribution of this work is the use of custom sampling strategies within the SMOTE approach,which significantly enhanced performance metrics and improved class imbalance handling.The results demonstrate significant improvements in predictive performance,achieving the highest reported metrics:accuracy(98.92%vs.96.06%),sensitivity(98.3%vs.71.26%),and F1 score(98.37%vs.79.74%)using the XGBoost model.These improvements underscore the effectiveness of our custom SMOTE sampling strategies in addressing class imbalance.The findings contribute to environmental management by enabling ecology specialists to develop more accurate strategies for monitoring,assessing,and managing drinking water quality,ensuring better ecosystem and public health outcomes.展开更多
BACKGROUND:Electrolyte imbalance is common following traumatic brain injury(TBI)and can significantly impact patient outcomes.We aimed to explore the occurrence,patterns,and consequences of electrolyte imbalance in ad...BACKGROUND:Electrolyte imbalance is common following traumatic brain injury(TBI)and can significantly impact patient outcomes.We aimed to explore the occurrence,patterns,and consequences of electrolyte imbalance in adult patients with TBI.METHODS:A retrospective study was conducted from 2016 to 2021 at a level 1 trauma center among hospitalized TBI patients.On admission,the levels of serum electrolytes,including sodium,potassium,calcium,magnesium,and phosphate,were analyzed.Demographics,injury characteristics,and interventions were assessed.The primary outcome was the in-hospital mortality.Multivariate logistic regression analysis was performed to identify independent predictors of mortality in TBI patients.RESULTS:A total of 922 TBI patients were included in the analysis,of whom 902(98%)had electrolyte imbalance.The mean age of patients with electrolyte imbalance was 32.0±15.0 years.Most patients were males(94%).The most common electrolyte abnormalities were hypocalcemia,hypophosphatemia,and hypokalemia.The overall in-hospital mortality rate was 22%in the entire cohort.In multivariate logistic analysis,the predictors of mortality included age(odds ratio[OR]=1.029,95%confidence intervals[CI]:1.013-1.046,P<0.001),low GCS(OR=0.883,95%CI:0.816-0.956,P=0.002),high Injury Severity Score(ISS)scale(OR=1.051,95%CI:1.026-1.078,P<0.001),hypernatremia(OR=2.175,95%CI:1.196-3.955,P=0.011),hyperkalemia(OR=4.862,95%CI:1.222-19.347;P=0.025),low serum bicarbonate levels(OR=0.926,95%CI:0.868-0.988,P=0.020),high serum lactate levels(OR=1.128,95%CI:1.022-1.244,P=0.017),high glucose levels(OR=1.072,95%CI:1.014-1.133,P=0.015),a longer activated partial thromboplastin time(OR=1.054,95%CI:1.024-1.084,P<0.001)and higer international normalized ratio(INR)(OR=3.825,95%CI:1.592-9.188,P=0.003).CONCLUSION:Electrolyte imbalance is common in TBI patients,with the significant prevalence of hypocalcemia,hypophosphatemia,and hypokalemia.However,hypernatremia and hyperkalemia were associated with the risk of mortality,emphasizing the need for further research to comprehend electrolyte dynamics in TBI patients.展开更多
China’s financial conundrum arises from two sources: (1) its large trade (saving) surplus results in a currency mismatch because it is an immature creditor that cannot lend in its own currency. Instead foreign curren...China’s financial conundrum arises from two sources: (1) its large trade (saving) surplus results in a currency mismatch because it is an immature creditor that cannot lend in its own currency. Instead foreign currency claims (largely dollars) build up within domestic financial institutions. And (2) economists – both American and Chinese – mistakenly attribute the surpluses to an undervalued renminbi. To placate the United States, the result is a gradual appreciation of the renminbi against the dollar of 6% or more per year. This predictable appreciation since 2004, and the fall in US interest rates since mid 2007, not only attracts hot money inflows but inhibits private capital outflows from financing China’s huge trade surplus. This one-way bet in the foreign exchange markets can no longer be offset by relatively low interest rates in China compared to the United States, as had been the case in 2005-06. Thus, the People’s Bank of China (PBOC) now must intervene heavily to prevent the renminbi from ratcheting upwards – and so becomes the country’s sole international financial intermediary. Despite massive efforts by the PBOC to sterilize the monetary consequences of the reserve buildup, inflation in China is increasing, with excess liquidity that spills over into the world economy. China has been transformed from a deflationary force on American and European price levels into an inflationary one. Because of the currency mismatch, floating the RMB is neither feasible nor desirable – and a higher RMB would not reduce China’s trade surplus. Instead, monetary control and normal private-sector finance for the trade surplus require a return to a credibly fixed nominal yuan/dollar rate similar to that which existed between 1995 and 2004. But for any newly reset yuan/dollar rate to be credible as a monetary anchor, foreign "China bashing" to get the RMB up must end. Currency stabilization would allow the PBOC to regain monetary control and quash inflation. Only then can the Chinese government take decisive steps to reduce the trade (saving) surplus by tax cuts, increased social expenditures, and higher dividend payouts. But as long as the economy remains overheated, the government hesitates to take these trade-surplus-reduction measures because of their near-term inflationary consequences.展开更多
A pilot pattern across two orthogonal frequency division multiplexing OFDM symbols with a special structure is designed for the channel estimation of OFDM systems with inphase and quadrature IQ imbalances at the recei...A pilot pattern across two orthogonal frequency division multiplexing OFDM symbols with a special structure is designed for the channel estimation of OFDM systems with inphase and quadrature IQ imbalances at the receiver.A high-efficiency time-domain TD least square LS channel estimator and a low-complexity frequency-domain Gaussian elimination GE equalizer are proposed to eliminate IQ distortion.The former estimator can significantly suppress channel noise by a factor N/L＋1 over the existing frequency-domain FD LS where N and L＋1 are the total number of subcarriers and the length of cyclic prefix and the proposed GE requires only 2N complex multiplications per OFDM symbol.Simulation results show that by exploiting the TD property of the channel the proposed TD-LS channel estimator obtains a significant signal-to-noise ratio gain over the existing FD-LS one whereas the proposed low-complexity GE compensation achieves the same bit error rate BER performance as the existing LS one.展开更多
A psychobiological model of the etiopathology of bipolar disorder is proposed. Based on genetic-epigenetic and chronobiological factors a hyperintentional personality structure, if faced with non-feasible intentional ...A psychobiological model of the etiopathology of bipolar disorder is proposed. Based on genetic-epigenetic and chronobiological factors a hyperintentional personality structure, if faced with non-feasible intentional programs in the environment, suffers from inner and outer stress. This stress situation leads to imbalances in information processing in glial-neuronal synaptic units, called tripartite synapses. In depression the overexpression of astrocytic receptors and of gap junctions in the astroglial network causes a prolonged information processing which affects the behavior generating systems in the brainstem reticular formation. Because the activation of the behavior generating systems is protracted, they are unable to select an appropriate mode of behavior (e.g. communicating, eating, working, sleeping, etc.) from sensory information in real time. Inversely, in mania astrocytic receptors and gap junctions are underexpressed causing a shortened synaptic information processing with rapid changes in behavior. Switching may represent a coping-attempt with depression by mania and vice versa. Towards a comprehensive model of the pathophysiology of bipolar disorder the role of microglia and their devastating effects on glial-neuronal interactions are outlined. Finally, the testing of the model is discussed.展开更多
The paper aims to investigate the current account imbalances in the context of an overview of macroeconomic fundamentals after the liberalization process in Turkey. Two main questions discussed here are： （1） What i...The paper aims to investigate the current account imbalances in the context of an overview of macroeconomic fundamentals after the liberalization process in Turkey. Two main questions discussed here are： （1） What is the link between liberalization and current account imbalances; （2） What kind of mechanisms ensured this link to become a vicious circle. The period after 1989, Turkey was characterized by significant fluctuations in macroeconomic activity by the implementation of liberalization policies. Once financial liberalization is adopted, Turkey faced with a new challenge： large current account deficits. On the other hand, foreign capital inflows aggravated a lending boom. Because of excessive risk taken by banks, interest rates began to rise. As mentioned above, the paper studies Turkey＇s liberalization process with a number of indicators that point to a fragility of the external balance： unhealthy structure of financial sector, particularly banking sector, large fiscal imbalances, low savings and investment rates, unstable GDP growth. Domestic structural features combining with macroeconomic policy stance and political factors are examined as well展开更多
An efficient compensation scheme combining a timedomain Gaussian elimination（GE） channel estimator and a frequency-domain GE equalizer is proposed for orthogonal frequency division multiplexing（OFDM） systems with ...An efficient compensation scheme combining a timedomain Gaussian elimination（GE） channel estimator and a frequency-domain GE equalizer is proposed for orthogonal frequency division multiplexing（OFDM） systems with frequencydependent in-phase and quadrature-phase（IQ） imbalances at both transmitter and receiver.Compared with the traditional least square and least mean square compensation schemes,the proposed compensation scheme achieves the same bit error rate as the ideal IQ branches by using only two training OFDM symbols instead of about 20 OFDM symbols.展开更多
Rectifying the structural imbalance between the provision of and demand for rural public services can effectively boost the efficiency of public funds utilization and the level of public service provision. Based on th...Rectifying the structural imbalance between the provision of and demand for rural public services can effectively boost the efficiency of public funds utilization and the level of public service provision. Based on the findings of a field survey, this article presents a summary of the structural imbalance between the provision of and demand for rural public services. This paper holds that the structural imbalance is primarily reflected in the dislocation between provision and demand, the unsuitable mode of provision, the monolithic provision mechanism, the excessive focus on construction at the expense of governance and the overemphasis of counties and townships at the cost of villages. Such structural imbalance is principally because of the limited financial strength of government at the grass-roots level due to treasury centralization and the over-dependence of public services on special funds allocated by government at or above provincial level.展开更多
This paper examines the inherent relationship between the global imbalance and the financial crisis from historical review and a survey of the literature.This paper sets up a two-country model featured by monetary heg...This paper examines the inherent relationship between the global imbalance and the financial crisis from historical review and a survey of the literature.This paper sets up a two-country model featured by monetary hegemony showing that the financial crisis of 2008 is interrelated with the United States’ expansionary monetary policy and the hegemony of the U.S.dollar.This paper then analyses the impact of the crisis and the policy responses,focusing on the preconditions for China’s economic recovery.Through an international comparison,we argue that one of the Great Depression’s lessons is that the exorbitant government intervention in some areas was harmful and that the necessary condition for China’s recovery is economic flexibility,namely,resilient market mechanisms.展开更多
Multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) scheme has been considered as the most promising physical-layer architecture for the future wireless systems to provide high-spee...Multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) scheme has been considered as the most promising physical-layer architecture for the future wireless systems to provide high-speed communications. However, the performance of the MIMO-OFDM system may be degraded by in-phase/quadrature-phase (I/Q) imbalances caused by component imperfections in the analog front-ends of the transceivers. I/Q imbalances result in inter-carrier interference (ICI) in OFDM systems and cause inaccurate estimate of the channel state information (CSI), which is essential for diversity combining at the MIMO receiver. In this paper, we propose a novel approach to analyzing a MIMO-OFDM wireless communication system with I/Q imbalances over multi-path fading channels. A virtual channel is proposed as the combination of multi-path fading channel effects and I/Q imbalances at the transmitter and receiver. Based on this new approach, the effects of the channel and I/Q imbalances can be jointly estimated, and the influence of channel estimation error due to I/Q imbalances can be greatly reduced. An optimal minimal mean square error (MMSE) estimator and a low-complexity least square (LS) estimator are employed to estimate the joint coefficients of the virtual channel, which are then used to equalize the distorted signals. System performance is theoretically analyzed and verified by simulation experiments under different system configurations. The results show that the proposed method can significantly improve system performance that is close to the ideal case in which I/Q are balanced and the channel state information is known at the receiver.展开更多
China’s ballooning current account surplus has caused a plethora of adverse effects on the healthy development of its economy.Based on an in-depth analysis of the contributory factors to the swelling current account ...China’s ballooning current account surplus has caused a plethora of adverse effects on the healthy development of its economy.Based on an in-depth analysis of the contributory factors to the swelling current account surplus,this paper purports to demonstrate theoretically and empirically that while the chronic savings-consumption imbalance is an important contributor to China’s huge trade surplus,the fundamental underlying contributor is the income structure and savings structure imbalance stemming from the disproportionate increase in retained earnings relative to stagnant wage bills.Corporate retained earnings keep growing rapidly because corporate profit margins are"overstated"and state-owned enterprises"do not pay dividends."Only when these issues are resolved at the institutional level can the savings rate be reduced to an appropriate level with domestic demand boosted to eliminate excess trade surpluses and fundamentally fix internal and external economic imbalances.展开更多
Against the backdrop of geopolitical conflicts and major power competition,the US and several Western nations have claimed that China has significant"overcapacity"in manufacturing and have imposed various ta...Against the backdrop of geopolitical conflicts and major power competition,the US and several Western nations have claimed that China has significant"overcapacity"in manufacturing and have imposed various tariff and nontariff trade measures to shield domestic industries.Using data from publicly listed companies,this study conducted an industry-level analysis of investment and capacity expansion in China's manufacturing sector:We find that the growth in manufacturing investment is currently driven mainly by the"new trio"(electric vehicles,solar cells,and lithium batteries),and most enterprises have begun market-oriented clearing.However,the new trio involved in investment and capacity expansion accounts for only a small portion of China's manufacturing sector.The US narrative regarding China's overcapacity is therefore fundamentally misleading.From the perspective of major power dynamics,the essence of the overcapacity narrative lies in China-US trade imbalances,which are,in turn,a consequence of macroeconomic imbalances between the two nations.Insufficient demand in China and excess demand in the US form the underlying impetus behind the trade imbalances.展开更多
The nutritional status of rubber trees(Hevea brasiliensis)is inseparable from the production of natural rubber.Nitrogen(N)and potassium(K)levels in rubber leaves are 2 crucial criteria that reflect the nutritional sta...The nutritional status of rubber trees(Hevea brasiliensis)is inseparable from the production of natural rubber.Nitrogen(N)and potassium(K)levels in rubber leaves are 2 crucial criteria that reflect the nutritional status of the rubber tree.Advanced hyperspectral technology can evaluate N and K statuses in leaves rapidly.However,high bias and uncertain results will be generated when using a small size and imbalance dataset to train a spectral estimaion model.A typical solution of laborious long-term nutrient stress and high-intensive data collection deviates from rapid and flexible advantages of hyperspectral tech.Therefore,a less intensive and streamlined method,remining information from hyperspectral image data,was assessed.展开更多
Since the start of the 21st century,health issues caused by exposure to geological materials,such as heavy metal pollution and/or imbalances in essential elements,have consistently affected about one billion people wo...Since the start of the 21st century,health issues caused by exposure to geological materials,such as heavy metal pollution and/or imbalances in essential elements,have consistently affected about one billion people worldwide.In response to this critical problem,the field of Medical Geology has developed through collaborative efforts from experts in various disciplines,including geologists,environmental scientists,biologists,biochemists,toxicologists,epidemiologists,and public health professionals.展开更多
After Donald Trump returned to the White House,the U.S.government launched a host of measures of“tariff wars”.In addition to announcing tariffs on goods imported to the United States from Canada,Mexico and China,the...After Donald Trump returned to the White House,the U.S.government launched a host of measures of“tariff wars”.In addition to announcing tariffs on goods imported to the United States from Canada,Mexico and China,the government also imposed trade restrictions on specific industries including steel,aluminum and copper,as well as advanced plan for“reciprocal tariffs”.Donald Trump claimed that a“tariff war”would correct trade imbalances,boost government revenue and promote the reshoring of manufacturing to the United States.By leveraging tariffs,the U.S.also attempts to achieve goals in border security,illegal immigration and fentanyl control.Undoubtedly at a central position in Trump’s second term in office,the“tariff war”will exert impacts far beyond economic and trade policies and upon the direction of China-U.S.relations.展开更多
Sarcopenia,a progressive and systemic skeletal muscle disorder marked by the accelerated deterioration of both muscle function and mass,is highly prevalent among the elderly population,significantly contributing to an...Sarcopenia,a progressive and systemic skeletal muscle disorder marked by the accelerated deterioration of both muscle function and mass,is highly prevalent among the elderly population,significantly contributing to an elevated risk of adverse outcomes,including falls,fractures,and muscle weakness.Clinical investigations have identified a strong correlation between sarcopenia and several prevalent degenerative skeletal muscle disorders.This correlation is attributed to imbalances in joint mechanics resulting from localized muscle atrophy and the influence of musculoskeletal secretory factors.In this review,we discuss the broader implications of sarcopenia and critically evaluate the currently established assessment methods.Furthermore,the clinical significance of prevalent musculoskeletal disorders(including osteoporosis,osteoarthritis,and spinal pathologies)in relation to sarcopenia,alongside the underlying mechanisms influencing this relationship,is summarized.Additionally,the effects of sarcopenia on the therapeutic efficacy of medications and surgical interventions for musculoskeletal conditions are reviewed.Sarcopenia is intricately linked to the onset,progression,and prognosis of musculoskeletal disorders.Future research should prioritize elucidating the potential mechanisms that connect muscle loss with skeletal muscle diseases,and investigating whether mitigating sarcopenia symptoms could decelerate the progression of these disorders,thereby paving new pathways for therapeutic interventions.展开更多
Slipped capital femoral epiphysis(SCFE)is a hip disorder that predominantly affects adolescents.The primary pathological change involves the displacement of the femoral head epiphysis from its normal position at the g...Slipped capital femoral epiphysis(SCFE)is a hip disorder that predominantly affects adolescents.The primary pathological change involves the displacement of the femoral head epiphysis from its normal position at the growth plate toward the metaphysis of the femoral neck.This condition can result in hip pain,abnormal gait,and even avascular necrosis of the femoral head,significantly impacting the quality of life in adolescents.Currently,the exact etiology of SCFE remains unclear;however,evidence suggests that risk factors include endocrine disorders,metabolic conditions,and genetic diseases.Endocrine disorders encompass hypothyroidism,growth hormone abnormalities,hypogonadism,and obesity-related hormonal imbalances.Metabolic conditions involve obesity,vitamin D deficiency or rickets,and renal osteodystrophy.Genetic diseases include mutations in the COL2A1 gene,aromatase deficiency,and Prader-Willi syndrome.This review summarizes various medical conditions associated with SCFE and elucidates potential molecular mechanisms from abnormal chondrocyte function in the growth plate,hormonal imbalances and inflammatory/metabolic factors in SCFE based on relevant literature,aim to provide evidence for the prevention and treatment of SCFE.展开更多
We analyze global and euro area imbalances by focusing on China and Germany as large surplus and creditor countries. In the 2000s, domestic reforms expanded the effective labor force, restrained wages, shifted income ...We analyze global and euro area imbalances by focusing on China and Germany as large surplus and creditor countries. In the 2000s, domestic reforms expanded the effective labor force, restrained wages, shifted income toward profits and increased corporate saving. As a result, the Chinese and German current account surpluses widened, and that of Germany has proven more persistent, with subdued domestic investment. China is an early-stage creditor, holding a short equity position and a longposition in safe debt. Germany＇s balanced net debt and equity claims mark it as a mature creditor thatprovides insurance to the rest of the world. China pays to lay off equity risk, while Germany, by contrast, harvests a moderate yield on its net claims. In both economies, the shortfall of the net international investment position from cumulated current account surpluses arises from exchange rate changes, asymmetric valuation gains, and, in Germany＇s case, credit losses.展开更多
Spectrum-based fault localization (SBFL) generates a ranked list of suspicious elements by using the program execution spectrum, but the excessive number of elements ranked in parallel results in low localization accu...Spectrum-based fault localization (SBFL) generates a ranked list of suspicious elements by using the program execution spectrum, but the excessive number of elements ranked in parallel results in low localization accuracy. Most researchers consider intra-class dependencies to improve localization accuracy. However, some studies show that inter-class method call type faults account for more than 20%, which means such methods still have certain limitations. To solve the above problems, this paper proposes a two-phase software fault localization based on relational graph convolutional neural networks (Two-RGCNFL). Firstly, in Phase 1, the method call dependence graph (MCDG) of the program is constructed, the intra-class and inter-class dependencies in MCDG are extracted by using the relational graph convolutional neural network, and the classifier is used to identify the faulty methods. Then, the GraphSMOTE algorithm is improved to alleviate the impact of class imbalance on classification accuracy. Aiming at the problem of parallel ranking of element suspicious values in traditional SBFL technology, in Phase 2, Doc2Vec is used to learn static features, while spectrum information serves as dynamic features. A RankNet model based on siamese multi-layer perceptron is constructed to score and rank statements in the faulty method. This work conducts experiments on 5 real projects of Defects4J benchmark. Experimental results show that, compared with the traditional SBFL technique and two baseline methods, our approach improves the Top-1 accuracy by 262.86%, 29.59% and 53.01%, respectively, which verifies the effectiveness of Two-RGCNFL. Furthermore, this work verifies the importance of inter-class dependencies through ablation experiments.展开更多
DeepSeek Chinese artificial intelligence(AI)open-source model,has gained a lot of attention due to its economical training and efficient inference.DeepSeek,a model trained on large-scale reinforcement learning without...DeepSeek Chinese artificial intelligence(AI)open-source model,has gained a lot of attention due to its economical training and efficient inference.DeepSeek,a model trained on large-scale reinforcement learning without supervised fine-tuning as a preliminary step,demonstrates remarkable reasoning capabilities of performing a wide range of tasks.DeepSeek is a prominent AI-driven chatbot that assists individuals in learning and enhances responses by generating insightful solutions to inquiries.Users possess divergent viewpoints regarding advanced models like DeepSeek,posting both their merits and shortcomings across several social media platforms.This research presents a new framework for predicting public sentiment to evaluate perceptions of DeepSeek.To transform the unstructured data into a suitable manner,we initially collect DeepSeek-related tweets from Twitter and subsequently implement various preprocessing methods.Subsequently,we annotated the tweets utilizing the Valence Aware Dictionary and sentiment Reasoning(VADER)methodology and the lexicon-driven TextBlob.Next,we classified the attitudes obtained from the purified data utilizing the proposed hybrid model.The proposed hybrid model consists of long-term,shortterm memory(LSTM)and bidirectional gated recurrent units(BiGRU).To strengthen it,we include multi-head attention,regularizer activation,and dropout units to enhance performance.Topic modeling employing KMeans clustering and Latent Dirichlet Allocation(LDA),was utilized to analyze public behavior concerning DeepSeek.The perceptions demonstrate that 82.5%of the people are positive,15.2%negative,and 2.3%neutral using TextBlob,and 82.8%positive,16.1%negative,and 1.2%neutral using the VADER analysis.The slight difference in results ensures that both analyses concur with their overall perceptions and may have distinct views of language peculiarities.The results indicate that the proposed model surpassed previous state-of-the-art approaches.展开更多
文摘This study demonstrates the complexity and importance of water quality as a measure of the health and sustainability of ecosystems that directly influence biodiversity,human health,and the world economy.The predictability of water quality thus plays a crucial role in managing our ecosystems to make informed decisions and,hence,proper environmental management.This study addresses these challenges by proposing an effective machine learning methodology applied to the“Water Quality”public dataset.The methodology has modeled the dataset suitable for providing prediction classification analysis with high values of the evaluating parameters such as accuracy,sensitivity,and specificity.The proposed methodology is based on two novel approaches:(a)the SMOTE method to deal with unbalanced data and(b)the skillfully involved classical machine learning models.This paper uses Random Forests,Decision Trees,XGBoost,and Support Vector Machines because they can handle large datasets,train models for handling skewed datasets,and provide high accuracy in water quality classification.A key contribution of this work is the use of custom sampling strategies within the SMOTE approach,which significantly enhanced performance metrics and improved class imbalance handling.The results demonstrate significant improvements in predictive performance,achieving the highest reported metrics:accuracy(98.92%vs.96.06%),sensitivity(98.3%vs.71.26%),and F1 score(98.37%vs.79.74%)using the XGBoost model.These improvements underscore the effectiveness of our custom SMOTE sampling strategies in addressing class imbalance.The findings contribute to environmental management by enabling ecology specialists to develop more accurate strategies for monitoring,assessing,and managing drinking water quality,ensuring better ecosystem and public health outcomes.
文摘BACKGROUND:Electrolyte imbalance is common following traumatic brain injury(TBI)and can significantly impact patient outcomes.We aimed to explore the occurrence,patterns,and consequences of electrolyte imbalance in adult patients with TBI.METHODS:A retrospective study was conducted from 2016 to 2021 at a level 1 trauma center among hospitalized TBI patients.On admission,the levels of serum electrolytes,including sodium,potassium,calcium,magnesium,and phosphate,were analyzed.Demographics,injury characteristics,and interventions were assessed.The primary outcome was the in-hospital mortality.Multivariate logistic regression analysis was performed to identify independent predictors of mortality in TBI patients.RESULTS:A total of 922 TBI patients were included in the analysis,of whom 902(98%)had electrolyte imbalance.The mean age of patients with electrolyte imbalance was 32.0±15.0 years.Most patients were males(94%).The most common electrolyte abnormalities were hypocalcemia,hypophosphatemia,and hypokalemia.The overall in-hospital mortality rate was 22%in the entire cohort.In multivariate logistic analysis,the predictors of mortality included age(odds ratio[OR]=1.029,95%confidence intervals[CI]:1.013-1.046,P<0.001),low GCS(OR=0.883,95%CI:0.816-0.956,P=0.002),high Injury Severity Score(ISS)scale(OR=1.051,95%CI:1.026-1.078,P<0.001),hypernatremia(OR=2.175,95%CI:1.196-3.955,P=0.011),hyperkalemia(OR=4.862,95%CI:1.222-19.347;P=0.025),low serum bicarbonate levels(OR=0.926,95%CI:0.868-0.988,P=0.020),high serum lactate levels(OR=1.128,95%CI:1.022-1.244,P=0.017),high glucose levels(OR=1.072,95%CI:1.014-1.133,P=0.015),a longer activated partial thromboplastin time(OR=1.054,95%CI:1.024-1.084,P<0.001)and higer international normalized ratio(INR)(OR=3.825,95%CI:1.592-9.188,P=0.003).CONCLUSION:Electrolyte imbalance is common in TBI patients,with the significant prevalence of hypocalcemia,hypophosphatemia,and hypokalemia.However,hypernatremia and hyperkalemia were associated with the risk of mortality,emphasizing the need for further research to comprehend electrolyte dynamics in TBI patients.
文摘China’s financial conundrum arises from two sources: (1) its large trade (saving) surplus results in a currency mismatch because it is an immature creditor that cannot lend in its own currency. Instead foreign currency claims (largely dollars) build up within domestic financial institutions. And (2) economists – both American and Chinese – mistakenly attribute the surpluses to an undervalued renminbi. To placate the United States, the result is a gradual appreciation of the renminbi against the dollar of 6% or more per year. This predictable appreciation since 2004, and the fall in US interest rates since mid 2007, not only attracts hot money inflows but inhibits private capital outflows from financing China’s huge trade surplus. This one-way bet in the foreign exchange markets can no longer be offset by relatively low interest rates in China compared to the United States, as had been the case in 2005-06. Thus, the People’s Bank of China (PBOC) now must intervene heavily to prevent the renminbi from ratcheting upwards – and so becomes the country’s sole international financial intermediary. Despite massive efforts by the PBOC to sterilize the monetary consequences of the reserve buildup, inflation in China is increasing, with excess liquidity that spills over into the world economy. China has been transformed from a deflationary force on American and European price levels into an inflationary one. Because of the currency mismatch, floating the RMB is neither feasible nor desirable – and a higher RMB would not reduce China’s trade surplus. Instead, monetary control and normal private-sector finance for the trade surplus require a return to a credibly fixed nominal yuan/dollar rate similar to that which existed between 1995 and 2004. But for any newly reset yuan/dollar rate to be credible as a monetary anchor, foreign "China bashing" to get the RMB up must end. Currency stabilization would allow the PBOC to regain monetary control and quash inflation. Only then can the Chinese government take decisive steps to reduce the trade (saving) surplus by tax cuts, increased social expenditures, and higher dividend payouts. But as long as the economy remains overheated, the government hesitates to take these trade-surplus-reduction measures because of their near-term inflationary consequences.
基金The Open Research Fund of National Mobile Communications Research Laboratory of Southeast University(No.2013D02)the Fundamental Research Funds for the Central Universities(No.30920130122004)the National Natural Science Foundation of China(No.61271230,61472190)
文摘A pilot pattern across two orthogonal frequency division multiplexing OFDM symbols with a special structure is designed for the channel estimation of OFDM systems with inphase and quadrature IQ imbalances at the receiver.A high-efficiency time-domain TD least square LS channel estimator and a low-complexity frequency-domain Gaussian elimination GE equalizer are proposed to eliminate IQ distortion.The former estimator can significantly suppress channel noise by a factor N/L＋1 over the existing frequency-domain FD LS where N and L＋1 are the total number of subcarriers and the length of cyclic prefix and the proposed GE requires only 2N complex multiplications per OFDM symbol.Simulation results show that by exploiting the TD property of the channel the proposed TD-LS channel estimator obtains a significant signal-to-noise ratio gain over the existing FD-LS one whereas the proposed low-complexity GE compensation achieves the same bit error rate BER performance as the existing LS one.
文摘A psychobiological model of the etiopathology of bipolar disorder is proposed. Based on genetic-epigenetic and chronobiological factors a hyperintentional personality structure, if faced with non-feasible intentional programs in the environment, suffers from inner and outer stress. This stress situation leads to imbalances in information processing in glial-neuronal synaptic units, called tripartite synapses. In depression the overexpression of astrocytic receptors and of gap junctions in the astroglial network causes a prolonged information processing which affects the behavior generating systems in the brainstem reticular formation. Because the activation of the behavior generating systems is protracted, they are unable to select an appropriate mode of behavior (e.g. communicating, eating, working, sleeping, etc.) from sensory information in real time. Inversely, in mania astrocytic receptors and gap junctions are underexpressed causing a shortened synaptic information processing with rapid changes in behavior. Switching may represent a coping-attempt with depression by mania and vice versa. Towards a comprehensive model of the pathophysiology of bipolar disorder the role of microglia and their devastating effects on glial-neuronal interactions are outlined. Finally, the testing of the model is discussed.
文摘The paper aims to investigate the current account imbalances in the context of an overview of macroeconomic fundamentals after the liberalization process in Turkey. Two main questions discussed here are： （1） What is the link between liberalization and current account imbalances; （2） What kind of mechanisms ensured this link to become a vicious circle. The period after 1989, Turkey was characterized by significant fluctuations in macroeconomic activity by the implementation of liberalization policies. Once financial liberalization is adopted, Turkey faced with a new challenge： large current account deficits. On the other hand, foreign capital inflows aggravated a lending boom. Because of excessive risk taken by banks, interest rates began to rise. As mentioned above, the paper studies Turkey＇s liberalization process with a number of indicators that point to a fragility of the external balance： unhealthy structure of financial sector, particularly banking sector, large fiscal imbalances, low savings and investment rates, unstable GDP growth. Domestic structural features combining with macroeconomic policy stance and political factors are examined as well
基金supported by the National Natural Science Fundation of China(6127123061172073)the Open Research Fund of National Mobile Communications Research Lab(2010D13)
文摘An efficient compensation scheme combining a timedomain Gaussian elimination（GE） channel estimator and a frequency-domain GE equalizer is proposed for orthogonal frequency division multiplexing（OFDM） systems with frequencydependent in-phase and quadrature-phase（IQ） imbalances at both transmitter and receiver.Compared with the traditional least square and least mean square compensation schemes,the proposed compensation scheme achieves the same bit error rate as the ideal IQ branches by using only two training OFDM symbols instead of about 20 OFDM symbols.
文摘Rectifying the structural imbalance between the provision of and demand for rural public services can effectively boost the efficiency of public funds utilization and the level of public service provision. Based on the findings of a field survey, this article presents a summary of the structural imbalance between the provision of and demand for rural public services. This paper holds that the structural imbalance is primarily reflected in the dislocation between provision and demand, the unsuitable mode of provision, the monolithic provision mechanism, the excessive focus on construction at the expense of governance and the overemphasis of counties and townships at the cost of villages. Such structural imbalance is principally because of the limited financial strength of government at the grass-roots level due to treasury centralization and the over-dependence of public services on special funds allocated by government at or above provincial level.
文摘This paper examines the inherent relationship between the global imbalance and the financial crisis from historical review and a survey of the literature.This paper sets up a two-country model featured by monetary hegemony showing that the financial crisis of 2008 is interrelated with the United States’ expansionary monetary policy and the hegemony of the U.S.dollar.This paper then analyses the impact of the crisis and the policy responses,focusing on the preconditions for China’s economic recovery.Through an international comparison,we argue that one of the Great Depression’s lessons is that the exorbitant government intervention in some areas was harmful and that the necessary condition for China’s recovery is economic flexibility,namely,resilient market mechanisms.
文摘Multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) scheme has been considered as the most promising physical-layer architecture for the future wireless systems to provide high-speed communications. However, the performance of the MIMO-OFDM system may be degraded by in-phase/quadrature-phase (I/Q) imbalances caused by component imperfections in the analog front-ends of the transceivers. I/Q imbalances result in inter-carrier interference (ICI) in OFDM systems and cause inaccurate estimate of the channel state information (CSI), which is essential for diversity combining at the MIMO receiver. In this paper, we propose a novel approach to analyzing a MIMO-OFDM wireless communication system with I/Q imbalances over multi-path fading channels. A virtual channel is proposed as the combination of multi-path fading channel effects and I/Q imbalances at the transmitter and receiver. Based on this new approach, the effects of the channel and I/Q imbalances can be jointly estimated, and the influence of channel estimation error due to I/Q imbalances can be greatly reduced. An optimal minimal mean square error (MMSE) estimator and a low-complexity least square (LS) estimator are employed to estimate the joint coefficients of the virtual channel, which are then used to equalize the distorted signals. System performance is theoretically analyzed and verified by simulation experiments under different system configurations. The results show that the proposed method can significantly improve system performance that is close to the ideal case in which I/Q are balanced and the channel state information is known at the receiver.
基金funded and supported by the China Reform Foundation and the Ministry of Commerce
文摘China’s ballooning current account surplus has caused a plethora of adverse effects on the healthy development of its economy.Based on an in-depth analysis of the contributory factors to the swelling current account surplus,this paper purports to demonstrate theoretically and empirically that while the chronic savings-consumption imbalance is an important contributor to China’s huge trade surplus,the fundamental underlying contributor is the income structure and savings structure imbalance stemming from the disproportionate increase in retained earnings relative to stagnant wage bills.Corporate retained earnings keep growing rapidly because corporate profit margins are"overstated"and state-owned enterprises"do not pay dividends."Only when these issues are resolved at the institutional level can the savings rate be reduced to an appropriate level with domestic demand boosted to eliminate excess trade surpluses and fundamentally fix internal and external economic imbalances.
文摘Against the backdrop of geopolitical conflicts and major power competition,the US and several Western nations have claimed that China has significant"overcapacity"in manufacturing and have imposed various tariff and nontariff trade measures to shield domestic industries.Using data from publicly listed companies,this study conducted an industry-level analysis of investment and capacity expansion in China's manufacturing sector:We find that the growth in manufacturing investment is currently driven mainly by the"new trio"(electric vehicles,solar cells,and lithium batteries),and most enterprises have begun market-oriented clearing.However,the new trio involved in investment and capacity expansion accounts for only a small portion of China's manufacturing sector.The US narrative regarding China's overcapacity is therefore fundamentally misleading.From the perspective of major power dynamics,the essence of the overcapacity narrative lies in China-US trade imbalances,which are,in turn,a consequence of macroeconomic imbalances between the two nations.Insufficient demand in China and excess demand in the US form the underlying impetus behind the trade imbalances.
基金supported by the High-level Talent Project of Natural Science Foundation of Hainan Province(No.321RC468)the Key R&D project of Hainan Province(ZDYF2022GXJS008)+1 种基金the National Natural Science Foundation of China(No.32060413)the Innovation Research Team Project of Natural Science Foundation of Hainan Province(No.320CXTD431).
文摘The nutritional status of rubber trees(Hevea brasiliensis)is inseparable from the production of natural rubber.Nitrogen(N)and potassium(K)levels in rubber leaves are 2 crucial criteria that reflect the nutritional status of the rubber tree.Advanced hyperspectral technology can evaluate N and K statuses in leaves rapidly.However,high bias and uncertain results will be generated when using a small size and imbalance dataset to train a spectral estimaion model.A typical solution of laborious long-term nutrient stress and high-intensive data collection deviates from rapid and flexible advantages of hyperspectral tech.Therefore,a less intensive and streamlined method,remining information from hyperspectral image data,was assessed.
文摘Since the start of the 21st century,health issues caused by exposure to geological materials,such as heavy metal pollution and/or imbalances in essential elements,have consistently affected about one billion people worldwide.In response to this critical problem,the field of Medical Geology has developed through collaborative efforts from experts in various disciplines,including geologists,environmental scientists,biologists,biochemists,toxicologists,epidemiologists,and public health professionals.
文摘After Donald Trump returned to the White House,the U.S.government launched a host of measures of“tariff wars”.In addition to announcing tariffs on goods imported to the United States from Canada,Mexico and China,the government also imposed trade restrictions on specific industries including steel,aluminum and copper,as well as advanced plan for“reciprocal tariffs”.Donald Trump claimed that a“tariff war”would correct trade imbalances,boost government revenue and promote the reshoring of manufacturing to the United States.By leveraging tariffs,the U.S.also attempts to achieve goals in border security,illegal immigration and fentanyl control.Undoubtedly at a central position in Trump’s second term in office,the“tariff war”will exert impacts far beyond economic and trade policies and upon the direction of China-U.S.relations.
基金supported by The National Natural Science Foundation of China(82405429)The Medical and Health Science and Technology Program of Hangzhou(ZD20250272)+1 种基金Key Discipline of Traditional Chinese Medicine in Zhejiang Province(2024-XK-57)The Construction Fund of Key Medical Discipline of Hangzhou(2025HZZD16).
文摘Sarcopenia,a progressive and systemic skeletal muscle disorder marked by the accelerated deterioration of both muscle function and mass,is highly prevalent among the elderly population,significantly contributing to an elevated risk of adverse outcomes,including falls,fractures,and muscle weakness.Clinical investigations have identified a strong correlation between sarcopenia and several prevalent degenerative skeletal muscle disorders.This correlation is attributed to imbalances in joint mechanics resulting from localized muscle atrophy and the influence of musculoskeletal secretory factors.In this review,we discuss the broader implications of sarcopenia and critically evaluate the currently established assessment methods.Furthermore,the clinical significance of prevalent musculoskeletal disorders(including osteoporosis,osteoarthritis,and spinal pathologies)in relation to sarcopenia,alongside the underlying mechanisms influencing this relationship,is summarized.Additionally,the effects of sarcopenia on the therapeutic efficacy of medications and surgical interventions for musculoskeletal conditions are reviewed.Sarcopenia is intricately linked to the onset,progression,and prognosis of musculoskeletal disorders.Future research should prioritize elucidating the potential mechanisms that connect muscle loss with skeletal muscle diseases,and investigating whether mitigating sarcopenia symptoms could decelerate the progression of these disorders,thereby paving new pathways for therapeutic interventions.
基金Supported by the Science Project of Hunan Provincial Healthy Commission,No.20230844.
文摘Slipped capital femoral epiphysis(SCFE)is a hip disorder that predominantly affects adolescents.The primary pathological change involves the displacement of the femoral head epiphysis from its normal position at the growth plate toward the metaphysis of the femoral neck.This condition can result in hip pain,abnormal gait,and even avascular necrosis of the femoral head,significantly impacting the quality of life in adolescents.Currently,the exact etiology of SCFE remains unclear;however,evidence suggests that risk factors include endocrine disorders,metabolic conditions,and genetic diseases.Endocrine disorders encompass hypothyroidism,growth hormone abnormalities,hypogonadism,and obesity-related hormonal imbalances.Metabolic conditions involve obesity,vitamin D deficiency or rickets,and renal osteodystrophy.Genetic diseases include mutations in the COL2A1 gene,aromatase deficiency,and Prader-Willi syndrome.This review summarizes various medical conditions associated with SCFE and elucidates potential molecular mechanisms from abnormal chondrocyte function in the growth plate,hormonal imbalances and inflammatory/metabolic factors in SCFE based on relevant literature,aim to provide evidence for the prevention and treatment of SCFE.
文摘We analyze global and euro area imbalances by focusing on China and Germany as large surplus and creditor countries. In the 2000s, domestic reforms expanded the effective labor force, restrained wages, shifted income toward profits and increased corporate saving. As a result, the Chinese and German current account surpluses widened, and that of Germany has proven more persistent, with subdued domestic investment. China is an early-stage creditor, holding a short equity position and a longposition in safe debt. Germany＇s balanced net debt and equity claims mark it as a mature creditor thatprovides insurance to the rest of the world. China pays to lay off equity risk, while Germany, by contrast, harvests a moderate yield on its net claims. In both economies, the shortfall of the net international investment position from cumulated current account surpluses arises from exchange rate changes, asymmetric valuation gains, and, in Germany＇s case, credit losses.
基金funded by the Youth Fund of the National Natural Science Foundation of China(Grant No.42261070).
文摘Spectrum-based fault localization (SBFL) generates a ranked list of suspicious elements by using the program execution spectrum, but the excessive number of elements ranked in parallel results in low localization accuracy. Most researchers consider intra-class dependencies to improve localization accuracy. However, some studies show that inter-class method call type faults account for more than 20%, which means such methods still have certain limitations. To solve the above problems, this paper proposes a two-phase software fault localization based on relational graph convolutional neural networks (Two-RGCNFL). Firstly, in Phase 1, the method call dependence graph (MCDG) of the program is constructed, the intra-class and inter-class dependencies in MCDG are extracted by using the relational graph convolutional neural network, and the classifier is used to identify the faulty methods. Then, the GraphSMOTE algorithm is improved to alleviate the impact of class imbalance on classification accuracy. Aiming at the problem of parallel ranking of element suspicious values in traditional SBFL technology, in Phase 2, Doc2Vec is used to learn static features, while spectrum information serves as dynamic features. A RankNet model based on siamese multi-layer perceptron is constructed to score and rank statements in the faulty method. This work conducts experiments on 5 real projects of Defects4J benchmark. Experimental results show that, compared with the traditional SBFL technique and two baseline methods, our approach improves the Top-1 accuracy by 262.86%, 29.59% and 53.01%, respectively, which verifies the effectiveness of Two-RGCNFL. Furthermore, this work verifies the importance of inter-class dependencies through ablation experiments.
文摘DeepSeek Chinese artificial intelligence(AI)open-source model,has gained a lot of attention due to its economical training and efficient inference.DeepSeek,a model trained on large-scale reinforcement learning without supervised fine-tuning as a preliminary step,demonstrates remarkable reasoning capabilities of performing a wide range of tasks.DeepSeek is a prominent AI-driven chatbot that assists individuals in learning and enhances responses by generating insightful solutions to inquiries.Users possess divergent viewpoints regarding advanced models like DeepSeek,posting both their merits and shortcomings across several social media platforms.This research presents a new framework for predicting public sentiment to evaluate perceptions of DeepSeek.To transform the unstructured data into a suitable manner,we initially collect DeepSeek-related tweets from Twitter and subsequently implement various preprocessing methods.Subsequently,we annotated the tweets utilizing the Valence Aware Dictionary and sentiment Reasoning(VADER)methodology and the lexicon-driven TextBlob.Next,we classified the attitudes obtained from the purified data utilizing the proposed hybrid model.The proposed hybrid model consists of long-term,shortterm memory(LSTM)and bidirectional gated recurrent units(BiGRU).To strengthen it,we include multi-head attention,regularizer activation,and dropout units to enhance performance.Topic modeling employing KMeans clustering and Latent Dirichlet Allocation(LDA),was utilized to analyze public behavior concerning DeepSeek.The perceptions demonstrate that 82.5%of the people are positive,15.2%negative,and 2.3%neutral using TextBlob,and 82.8%positive,16.1%negative,and 1.2%neutral using the VADER analysis.The slight difference in results ensures that both analyses concur with their overall perceptions and may have distinct views of language peculiarities.The results indicate that the proposed model surpassed previous state-of-the-art approaches.
