The US 2024 general election ended with the Republican Party winning the presidential, House and Senate elections at the same time. In the presidential election, the Republican Party not only won more popular votes in...The US 2024 general election ended with the Republican Party winning the presidential, House and Senate elections at the same time. In the presidential election, the Republican Party not only won more popular votes in over 90% counties than in the 2020 general election, but also won seven highly contested swing States with greater edges. This also marks the first time since 2004 that the Republican Party has won a relative majority of popular votes in the presidential election.展开更多
2024 is a“super election year”with the biggest influence in the world since World War II.About 80 countries covering about 60%of the world's population hold national elections.The number and scale of elections a...2024 is a“super election year”with the biggest influence in the world since World War II.About 80 countries covering about 60%of the world's population hold national elections.The number and scale of elections are rare in history.The processes and results of many countries'elections are so dramatic,with a series of exchanges,offenses and defenses,which further highlights the trend of intensified political confrontation and social division around the world.展开更多
The crisis in Ukraine,which has dragged on for more than two years,and whether military aid to Ukraine should continue are major issues debated and fought over by the two parties in the United States prior to the 2024...The crisis in Ukraine,which has dragged on for more than two years,and whether military aid to Ukraine should continue are major issues debated and fought over by the two parties in the United States prior to the 2024 election.Regarding whether to continue to aid Ukraine,various political forces in the United States have chosen sides in the election campaign,which can be roughly divided into the“aid camp”and the“stop-aid camp”according to their positions.展开更多
During Donald Trump’s first term,the“Trump Shock”brought world politics into an era of uncertainties and pulled the transatlantic alliance down to its lowest point in history.The Trump 2.0 tsunami brewed by the 202...During Donald Trump’s first term,the“Trump Shock”brought world politics into an era of uncertainties and pulled the transatlantic alliance down to its lowest point in history.The Trump 2.0 tsunami brewed by the 2024 presidential election of the United States has plunged the U.S.-Europe relations into more gloomy waters,ushering in a more complex and turbulent period of adjustment.展开更多
2024 saw a lot of changes,marked by the European elections and the arrival of the new institutions.CEN and CENELEC reaffirmed the commitment to a strong and resilient European Standardization System,highlighting the s...2024 saw a lot of changes,marked by the European elections and the arrival of the new institutions.CEN and CENELEC reaffirmed the commitment to a strong and resilient European Standardization System,highlighting the strategic role of standards in strengthening the Single Market and supporting Europe’s competitiveness.展开更多
Objective: To assess the impact of preoperative psychological interventions on the care of patients undergoing elective surgery. Methods: Ninety-two patients scheduled for elective surgery in the surgical department b...Objective: To assess the impact of preoperative psychological interventions on the care of patients undergoing elective surgery. Methods: Ninety-two patients scheduled for elective surgery in the surgical department between August 2021 and August 2023 were selected and divided into groups using a random number table. The observation group received preoperative psychological interventions, while the reference group received standard preoperative care. Anxiety and depression scores, fear grading, vital signs, and self-efficacy levels were compared. Results: After the intervention, the anxiety and depression scores in the observation group were lower than those in the reference group, and the proportion of fear graded as Level I was higher. During the waiting period and 15 minutes before entering the operating room, vital sign levels in the observation group were lower than those in the reference group. Additionally, the self-efficacy scores of the observation group were significantly higher than those of the reference group (P < 0.05). Conclusion: Preoperative psychological interventions can alleviate negative emotions, stabilize preoperative vital signs, and significantly improve self-efficacy in patients undergoing elective surgery, demonstrating high feasibility for implementation.展开更多
The increasing rate of cesarean delivery has become a widespread concern worldwide, nearly half of which is due to previous cesarean deliveries, and elective repeat cesarean delivery (ERCD), which is the main option f...The increasing rate of cesarean delivery has become a widespread concern worldwide, nearly half of which is due to previous cesarean deliveries, and elective repeat cesarean delivery (ERCD), which is the main option for women who have a second pregnancy after cesarean section, is a major factor in this increase. The trial of labor after cesarean section (TOLAC) is considered to be the best method, and the safety and feasibility of TOLAC have been confirmed by numerous studies, but in clinical practice, there are many factors that make TOLAC unsuccessful. This article reviews the factors that influence the choice of delivery method after cesarean section as follows.展开更多
OBJECTIVE To evaluate the safety and effectiveness of robot-assisted percutaneous coronary intervention(R-PCI)compared to traditional manual percutaneous coronary intervention(M-PCI).METHODS This prospective,multicent...OBJECTIVE To evaluate the safety and effectiveness of robot-assisted percutaneous coronary intervention(R-PCI)compared to traditional manual percutaneous coronary intervention(M-PCI).METHODS This prospective,multicenter,randomized controlled,non-inferior clinical trial enrolled patients with coronary heart disease who met the inclusion criteria and had indications for elective percutaneous coronary intervention.Participants were randomly assigned to either the R-PCI group or the M-PCI group.Primary endpoints were clinical and technical success rates.Clinical success was defined as visually estimated residual post-percutaneous coronary intervention stenosis<30% with no 30-day major adverse cardiac events.Technical success in the R-PCI group was defined as successful completion of percutaneous coronary intervention using the ETcath200 robot-assisted system,without conversion to M-PCI in the event of a guidewire or balloon/stent catheter that was unable to cross the vessel or was poorly supported by the catheter.Secondary endpoints included total procedure time,percutaneous coronary intervention procedure time,fluoroscopy time,contrast volume,operator radiation exposure,air kerma,and dose-area product.RESULTS The trial enrolled 152 patients(R-PCI:73 patients,M-PCI:79 patients).Lesions were predominantly B2/C type(73.6%).Both groups achieved 100% clinical success rate.No major adverse cardiac events occurred during the 30-day follow-up.The R-PCI group had a technical success rate of 100%.The R-PCI group had longer total procedure and fluoroscopy times,but lower operator radiation exposure.The percutaneous coronary intervention procedure time,contrast volume,air kerma,and dose-area product were similar between the two groups.CONCLUSIONS For certain complex lesions,performing percutaneous coronary intervention using the ETcath200 robot-assisted system is safe and effective and does not result in conversion to M-PCI.展开更多
An unconditionally secure authority-certified anonymous quantum key distribution scheme using conjugate coding is presented, based on which we construct a quantum election scheme without the help of an entanglement st...An unconditionally secure authority-certified anonymous quantum key distribution scheme using conjugate coding is presented, based on which we construct a quantum election scheme without the help of an entanglement state. We show that this election scheme ensures the completeness, soundness, privacy, eligibility, unreusability, fairness, and verifiability of a large-scale election in which the administrator and counter are semi-honest. This election scheme can work even if there exist loss and errors in quantum channels. In addition, any irregularity in this scheme is sensible.展开更多
Sentiment analysis plays a vital role in understanding public opinions and sentiments toward various topics.In recent years,the rise of social media platforms(SMPs)has provided a rich source of data for analyzing publ...Sentiment analysis plays a vital role in understanding public opinions and sentiments toward various topics.In recent years,the rise of social media platforms(SMPs)has provided a rich source of data for analyzing public opinions,particularly in the context of election-related conversations.Nevertheless,sentiment analysis of electionrelated tweets presents unique challenges due to the complex language used,including figurative expressions,sarcasm,and the spread of misinformation.To address these challenges,this paper proposes Election-focused Bidirectional Encoder Representations from Transformers(ElecBERT),a new model for sentiment analysis in the context of election-related tweets.Election-related tweets pose unique challenges for sentiment analysis due to their complex language,sarcasm,andmisinformation.ElecBERT is based on the Bidirectional Encoder Representations from Transformers(BERT)language model and is fine-tuned on two datasets:Election-Related Sentiment-Annotated Tweets(ElecSent)-Multi-Languages,containing 5.31 million labeled tweets in multiple languages,and ElecSent-English,containing 4.75million labeled tweets in English.Themodel outperforms othermachine learning models such as Support Vector Machines(SVM),Na飗e Bayes(NB),and eXtreme Gradient Boosting(XGBoost),with an accuracy of 0.9905 and F1-score of 0.9816 on ElecSent-Multi-Languages,and an accuracy of 0.9930 and F1-score of 0.9899 on ElecSent-English.The performance of differentmodels was compared using the 2020 United States(US)Presidential Election as a case study.The ElecBERT-English and ElecBERT-Multi-Languages models outperformed BERTweet,with the ElecBERT-English model achieving aMean Absolute Error(MAE)of 6.13.This paper presents a valuable contribution to sentiment analysis in the context of election-related tweets,with potential applications in political analysis,social media management,and policymaking.展开更多
The first mid-term election of the U. S. in the new century took place on November 5, 2002. One third of the senators from the 107th Congress (34 out of 100), all representatives (435), 36 state governors, and numerou...The first mid-term election of the U. S. in the new century took place on November 5, 2002. One third of the senators from the 107th Congress (34 out of 100), all representatives (435), 36 state governors, and numerous local officials and legislators were to be elected or reelected. The resounding victory of the GOP in the congressional elections and the fact that the Democrats only got three more.展开更多
To examine the interdependency and evolution of Pakistan’s stock market,we consider the cross-correlation coefficients of daily stock returns belonging to the blue chip Karachi stock exchange(KSE-100)index.Using the ...To examine the interdependency and evolution of Pakistan’s stock market,we consider the cross-correlation coefficients of daily stock returns belonging to the blue chip Karachi stock exchange(KSE-100)index.Using the minimum spanning tree network-based method,we extend the financial network literature by examining the topological properties of the network and generating six minimum spanning tree networks around three general elections in Pakistan.Our results reveal a star-like structure after the general elections of 2018 and before those in 2008,and a tree-like structure otherwise.We also highlight key nodes,the presence of different clusters,and compare the differences between the three elections.Additionally,the sectorial centrality measures reveal economic expansion in three industrial sectors—cement,oil and gas,and fertilizers.Moreover,a strong overall intermediary role of the fertilizer sector is observed.The results indicate a structural change in the stock market network due to general elections.Consequently,through this analysis,policy makers can focus on monitoring key nodes around general elections to estimate stock market stability,while local and international investors can form optimal diversification strategies.展开更多
A long life election spin resonance (ESR) signal at g=2.0006 was observed in the normal lens epithelium and cortical fibers. During ultraviolet (UV) exposure, a new ESR signal at g = 2.0060 was found in the lens epith...A long life election spin resonance (ESR) signal at g=2.0006 was observed in the normal lens epithelium and cortical fibers. During ultraviolet (UV) exposure, a new ESR signal at g = 2.0060 was found in the lens epithelium. But this specific signal was not detected in the lens cortical fibers. This suggested that lens epithelial cells were more susceptible to the free radical formation which was induced by UV light. By means of ESR spin probe oxymetry, the oxygen uptake of lens epithelial cells was meas...展开更多
<span style="font-family:Verdana;">The subjects of this study were 80 patients who underwent mixed hemorrhoids surgery in our hospital from January to October 2020 (mixed hemorrhoids external and inter...<span style="font-family:Verdana;">The subjects of this study were 80 patients who underwent mixed hemorrhoids surgery in our hospital from January to October 2020 (mixed hemorrhoids external and internal ligation, internal hemorrhoids ligation or Xiaozhiling injection) and developed anal edge edema after surgery. According to the order of hospitalization, the patients were randomly divided into treatment group and control group, with 40 cases each.</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">In the control group, blank hot pack was applied on the basis of anorectal No. 1 lotion for prevention and treatment of anal edge edema after operation;in the treatment group, hot pack of Traditional Chinese medicine was applied on the basis of anorectal No. 1 lotion for prevention and treatment of anal edge edema. The course of treatment was 7 days.</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">The edema subsidence and postoperative pain scores were observed in both groups.</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">Results: The scores of anal edema and pain in the treatment group were significantly lower than those in the control group (P < 0.05), and the significant efficiency and total effective rate in the treatment group were significantly better than those in the control group, with statistical difference (P < 0.05).</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">Conclusion: Chinese medicine hot election package is effective in treating postoperative anal edema of mixed hemorrhoids, and the method is simple and suitable for clinical promotion.</span>展开更多
In IoT networks,nodes communicate with each other for computational services,data processing,and resource sharing.Most of the time huge data is generated at the network edge due to extensive communication between IoT ...In IoT networks,nodes communicate with each other for computational services,data processing,and resource sharing.Most of the time huge data is generated at the network edge due to extensive communication between IoT devices.So,this tidal data is transferred to the cloud data center(CDC)for efficient processing and effective data storage.In CDC,leader nodes are responsible for higher performance,reliability,deadlock handling,reduced latency,and to provide cost-effective computational services to the users.However,the optimal leader selection is a computationally hard problem as several factors like memory,CPU MIPS,and bandwidth,etc.,are needed to be considered while selecting a leader amongst the set of available nodes.The existing approaches for leader selection are monolithic,as they identify the leader nodes without taking the optimal approach for leader resources.Therefore,for optimal leader node selection,a genetic algorithm(GA)based leader election(GLEA)approach is presented in this paper.The proposed GLEA uses the available resources to evaluate the candidate nodes during the leader election process.In the first phase of the algorithm,the cost of individual nodes,and overall cluster cost is computed on the bases of available resources.In the second phase,the best computational nodes are selected as the leader nodes by applying the genetic operations against a cost function by considering the available resources.The GLEA procedure is then compared against the Bees Life Algorithm(BLA).The experimental results show that the proposed scheme outperforms BLA in terms of execution time,SLA Violation,and their utilization with state-of-the-art schemes.展开更多
Predicting election outcomes is a crucial undertaking,and various methods are employed for this purpose,such as traditional opinion polling,and social media analysis.However,traditional polling approaches often strugg...Predicting election outcomes is a crucial undertaking,and various methods are employed for this purpose,such as traditional opinion polling,and social media analysis.However,traditional polling approaches often struggle to capture the intricate nuances of voter sentiment at local levels,resulting in a limited depth of analysis and understanding.In light of this challenge,this study focuses on predicting elections at the state/regional level along with the country level,intending to offer a comprehensive analysis and deeper insights into the electoral process.To achieve this,the study introduces the Location-Based Election Prediction Model(LEPM),which utilizes social media data,specifically Twitter,and integrates location-aware sentiment analysis techniques at both the state/region and country levels.LEPM predicts the support and opposing strength of each political party/candidate.To determine the location of users/voters who have not disclosed their location information in tweets,the model utilizes a Voter Location Detection(VotLocaDetect)approach,which leverages recent tweets/posts.The sentiment analysis techniques employed in this study include rule-based sentiment analysis,Valence Aware Dictionary and Sentiment Reasoner(VADER)as well as transformers-based sentiment analysis such as Bidirectional Encoder Representations from Transformers(BERT),BERTweet,and Election based BERT(ElecBERT).This study uses the 2020 United States(US)Presidential Election as a case study.By applying the LEPM model to the election,the study demonstrates its ability to accurately predict outcomes in forty-one states,achieving an 0.84 accuracy rate at the state level.Moreover,at the country level,the LEPM model outperforms traditional polling results.With a low Mean Absolute Error(MAE)of 0.87,the model exhibits more precise predictions and serves as a successful alternative to conventional polls and other methodologies.Leveraging the extensive social media data,the LEPM model provides nuanced insights into voter behavior,enabling policymakers to make informed decisions and facilitating in-depth analyses of elections.The study emphasizes the importance of using social media data for reliable election prediction and offers implications for enhancing prediction accuracy and understanding voter sentiment and behavior.展开更多
After Democrats recaptured control of the US House at the 2018 midterms,the ramifications for American domestic and foreign policies have included increased partisan checks on President Donald Trump's proposals fo...After Democrats recaptured control of the US House at the 2018 midterms,the ramifications for American domestic and foreign policies have included increased partisan checks on President Donald Trump's proposals for immigration,energy,pollution,taxes,healthcare,and social welfare,and on the Republican Party's conservative agenda overall.After the longest government shutdown in US history over funding for a border wall to keep out illegal immigrants,Trump declared a national emergency in February 2019.Under his administration,US trade pacts with China,Mexico,Canada,Japan,the EU and other countries also face uncertainty.The Indo?Pacific Strategy and relations with Russia and Europe will remain,as is.Yet even if Sino-US trade negotiations progress,bilateral friction over high technology and cultural exchange will likely increase,and disputes over Taiwan,the South China Sea and human rights will continue.展开更多
In the recent presidential election,a most bitter trial of strength since its inde-pendence took place between the“democrats”and the so-called“traditionalists”in Russia.The outcome of this rivalry has a direct bea...In the recent presidential election,a most bitter trial of strength since its inde-pendence took place between the“democrats”and the so-called“traditionalists”in Russia.The outcome of this rivalry has a direct bearing on thechoice of Russia’s future development path.The reelection of the incumbent Presi-dent Boris Yeltsin in the second round of the voting has offered the political guaran-tee for the country’s further search for an appropriate development strategy alongthe current track.展开更多
文摘The US 2024 general election ended with the Republican Party winning the presidential, House and Senate elections at the same time. In the presidential election, the Republican Party not only won more popular votes in over 90% counties than in the 2020 general election, but also won seven highly contested swing States with greater edges. This also marks the first time since 2004 that the Republican Party has won a relative majority of popular votes in the presidential election.
文摘2024 is a“super election year”with the biggest influence in the world since World War II.About 80 countries covering about 60%of the world's population hold national elections.The number and scale of elections are rare in history.The processes and results of many countries'elections are so dramatic,with a series of exchanges,offenses and defenses,which further highlights the trend of intensified political confrontation and social division around the world.
文摘The crisis in Ukraine,which has dragged on for more than two years,and whether military aid to Ukraine should continue are major issues debated and fought over by the two parties in the United States prior to the 2024 election.Regarding whether to continue to aid Ukraine,various political forces in the United States have chosen sides in the election campaign,which can be roughly divided into the“aid camp”and the“stop-aid camp”according to their positions.
文摘During Donald Trump’s first term,the“Trump Shock”brought world politics into an era of uncertainties and pulled the transatlantic alliance down to its lowest point in history.The Trump 2.0 tsunami brewed by the 2024 presidential election of the United States has plunged the U.S.-Europe relations into more gloomy waters,ushering in a more complex and turbulent period of adjustment.
文摘2024 saw a lot of changes,marked by the European elections and the arrival of the new institutions.CEN and CENELEC reaffirmed the commitment to a strong and resilient European Standardization System,highlighting the strategic role of standards in strengthening the Single Market and supporting Europe’s competitiveness.
文摘Objective: To assess the impact of preoperative psychological interventions on the care of patients undergoing elective surgery. Methods: Ninety-two patients scheduled for elective surgery in the surgical department between August 2021 and August 2023 were selected and divided into groups using a random number table. The observation group received preoperative psychological interventions, while the reference group received standard preoperative care. Anxiety and depression scores, fear grading, vital signs, and self-efficacy levels were compared. Results: After the intervention, the anxiety and depression scores in the observation group were lower than those in the reference group, and the proportion of fear graded as Level I was higher. During the waiting period and 15 minutes before entering the operating room, vital sign levels in the observation group were lower than those in the reference group. Additionally, the self-efficacy scores of the observation group were significantly higher than those of the reference group (P < 0.05). Conclusion: Preoperative psychological interventions can alleviate negative emotions, stabilize preoperative vital signs, and significantly improve self-efficacy in patients undergoing elective surgery, demonstrating high feasibility for implementation.
文摘The increasing rate of cesarean delivery has become a widespread concern worldwide, nearly half of which is due to previous cesarean deliveries, and elective repeat cesarean delivery (ERCD), which is the main option for women who have a second pregnancy after cesarean section, is a major factor in this increase. The trial of labor after cesarean section (TOLAC) is considered to be the best method, and the safety and feasibility of TOLAC have been confirmed by numerous studies, but in clinical practice, there are many factors that make TOLAC unsuccessful. This article reviews the factors that influence the choice of delivery method after cesarean section as follows.
基金supported by the National Key Research and Development Program of China(No.2022YFC3602500)Beijing High-level Public Health Technical Talents Construction Project(Discipline Leader-03-24)Beijing Hospitals Authority’s Ascent Plan(DFL20240601).
文摘OBJECTIVE To evaluate the safety and effectiveness of robot-assisted percutaneous coronary intervention(R-PCI)compared to traditional manual percutaneous coronary intervention(M-PCI).METHODS This prospective,multicenter,randomized controlled,non-inferior clinical trial enrolled patients with coronary heart disease who met the inclusion criteria and had indications for elective percutaneous coronary intervention.Participants were randomly assigned to either the R-PCI group or the M-PCI group.Primary endpoints were clinical and technical success rates.Clinical success was defined as visually estimated residual post-percutaneous coronary intervention stenosis<30% with no 30-day major adverse cardiac events.Technical success in the R-PCI group was defined as successful completion of percutaneous coronary intervention using the ETcath200 robot-assisted system,without conversion to M-PCI in the event of a guidewire or balloon/stent catheter that was unable to cross the vessel or was poorly supported by the catheter.Secondary endpoints included total procedure time,percutaneous coronary intervention procedure time,fluoroscopy time,contrast volume,operator radiation exposure,air kerma,and dose-area product.RESULTS The trial enrolled 152 patients(R-PCI:73 patients,M-PCI:79 patients).Lesions were predominantly B2/C type(73.6%).Both groups achieved 100% clinical success rate.No major adverse cardiac events occurred during the 30-day follow-up.The R-PCI group had a technical success rate of 100%.The R-PCI group had longer total procedure and fluoroscopy times,but lower operator radiation exposure.The percutaneous coronary intervention procedure time,contrast volume,air kerma,and dose-area product were similar between the two groups.CONCLUSIONS For certain complex lesions,performing percutaneous coronary intervention using the ETcath200 robot-assisted system is safe and effective and does not result in conversion to M-PCI.
基金Project supported by the National Natural Science Foundation of China (Grant No. 61173157)the Strategy Pilot Project of Chinese Academy of Sciences (Grant No. XDA06010702)
文摘An unconditionally secure authority-certified anonymous quantum key distribution scheme using conjugate coding is presented, based on which we construct a quantum election scheme without the help of an entanglement state. We show that this election scheme ensures the completeness, soundness, privacy, eligibility, unreusability, fairness, and verifiability of a large-scale election in which the administrator and counter are semi-honest. This election scheme can work even if there exist loss and errors in quantum channels. In addition, any irregularity in this scheme is sensible.
基金funded by the BeijingMunicipal Natural Science Foundation(Grant No.4212026)Foundation Enhancement Program(Grant No.2021-JCJQ-JJ-0059).
文摘Sentiment analysis plays a vital role in understanding public opinions and sentiments toward various topics.In recent years,the rise of social media platforms(SMPs)has provided a rich source of data for analyzing public opinions,particularly in the context of election-related conversations.Nevertheless,sentiment analysis of electionrelated tweets presents unique challenges due to the complex language used,including figurative expressions,sarcasm,and the spread of misinformation.To address these challenges,this paper proposes Election-focused Bidirectional Encoder Representations from Transformers(ElecBERT),a new model for sentiment analysis in the context of election-related tweets.Election-related tweets pose unique challenges for sentiment analysis due to their complex language,sarcasm,andmisinformation.ElecBERT is based on the Bidirectional Encoder Representations from Transformers(BERT)language model and is fine-tuned on two datasets:Election-Related Sentiment-Annotated Tweets(ElecSent)-Multi-Languages,containing 5.31 million labeled tweets in multiple languages,and ElecSent-English,containing 4.75million labeled tweets in English.Themodel outperforms othermachine learning models such as Support Vector Machines(SVM),Na飗e Bayes(NB),and eXtreme Gradient Boosting(XGBoost),with an accuracy of 0.9905 and F1-score of 0.9816 on ElecSent-Multi-Languages,and an accuracy of 0.9930 and F1-score of 0.9899 on ElecSent-English.The performance of differentmodels was compared using the 2020 United States(US)Presidential Election as a case study.The ElecBERT-English and ElecBERT-Multi-Languages models outperformed BERTweet,with the ElecBERT-English model achieving aMean Absolute Error(MAE)of 6.13.This paper presents a valuable contribution to sentiment analysis in the context of election-related tweets,with potential applications in political analysis,social media management,and policymaking.
文摘The first mid-term election of the U. S. in the new century took place on November 5, 2002. One third of the senators from the 107th Congress (34 out of 100), all representatives (435), 36 state governors, and numerous local officials and legislators were to be elected or reelected. The resounding victory of the GOP in the congressional elections and the fact that the Democrats only got three more.
文摘To examine the interdependency and evolution of Pakistan’s stock market,we consider the cross-correlation coefficients of daily stock returns belonging to the blue chip Karachi stock exchange(KSE-100)index.Using the minimum spanning tree network-based method,we extend the financial network literature by examining the topological properties of the network and generating six minimum spanning tree networks around three general elections in Pakistan.Our results reveal a star-like structure after the general elections of 2018 and before those in 2008,and a tree-like structure otherwise.We also highlight key nodes,the presence of different clusters,and compare the differences between the three elections.Additionally,the sectorial centrality measures reveal economic expansion in three industrial sectors—cement,oil and gas,and fertilizers.Moreover,a strong overall intermediary role of the fertilizer sector is observed.The results indicate a structural change in the stock market network due to general elections.Consequently,through this analysis,policy makers can focus on monitoring key nodes around general elections to estimate stock market stability,while local and international investors can form optimal diversification strategies.
基金The work was sponsored by National Natural Science Foundation of China (NSFC)
文摘A long life election spin resonance (ESR) signal at g=2.0006 was observed in the normal lens epithelium and cortical fibers. During ultraviolet (UV) exposure, a new ESR signal at g = 2.0060 was found in the lens epithelium. But this specific signal was not detected in the lens cortical fibers. This suggested that lens epithelial cells were more susceptible to the free radical formation which was induced by UV light. By means of ESR spin probe oxymetry, the oxygen uptake of lens epithelial cells was meas...
文摘<span style="font-family:Verdana;">The subjects of this study were 80 patients who underwent mixed hemorrhoids surgery in our hospital from January to October 2020 (mixed hemorrhoids external and internal ligation, internal hemorrhoids ligation or Xiaozhiling injection) and developed anal edge edema after surgery. According to the order of hospitalization, the patients were randomly divided into treatment group and control group, with 40 cases each.</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">In the control group, blank hot pack was applied on the basis of anorectal No. 1 lotion for prevention and treatment of anal edge edema after operation;in the treatment group, hot pack of Traditional Chinese medicine was applied on the basis of anorectal No. 1 lotion for prevention and treatment of anal edge edema. The course of treatment was 7 days.</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">The edema subsidence and postoperative pain scores were observed in both groups.</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">Results: The scores of anal edema and pain in the treatment group were significantly lower than those in the control group (P < 0.05), and the significant efficiency and total effective rate in the treatment group were significantly better than those in the control group, with statistical difference (P < 0.05).</span><span style="font-size:10.0pt;font-family:;" "=""> </span><span style="font-size:10pt;font-family:Verdana;" "="">Conclusion: Chinese medicine hot election package is effective in treating postoperative anal edema of mixed hemorrhoids, and the method is simple and suitable for clinical promotion.</span>
基金supported by the Research Management Center,Xiamen University Malaysia under XMUM Research Program Cycle 3(Grant No:XMUMRF/2019-C3/IECE/0006).
文摘In IoT networks,nodes communicate with each other for computational services,data processing,and resource sharing.Most of the time huge data is generated at the network edge due to extensive communication between IoT devices.So,this tidal data is transferred to the cloud data center(CDC)for efficient processing and effective data storage.In CDC,leader nodes are responsible for higher performance,reliability,deadlock handling,reduced latency,and to provide cost-effective computational services to the users.However,the optimal leader selection is a computationally hard problem as several factors like memory,CPU MIPS,and bandwidth,etc.,are needed to be considered while selecting a leader amongst the set of available nodes.The existing approaches for leader selection are monolithic,as they identify the leader nodes without taking the optimal approach for leader resources.Therefore,for optimal leader node selection,a genetic algorithm(GA)based leader election(GLEA)approach is presented in this paper.The proposed GLEA uses the available resources to evaluate the candidate nodes during the leader election process.In the first phase of the algorithm,the cost of individual nodes,and overall cluster cost is computed on the bases of available resources.In the second phase,the best computational nodes are selected as the leader nodes by applying the genetic operations against a cost function by considering the available resources.The GLEA procedure is then compared against the Bees Life Algorithm(BLA).The experimental results show that the proposed scheme outperforms BLA in terms of execution time,SLA Violation,and their utilization with state-of-the-art schemes.
基金funded by the Beijing Municipal Natural Science Foundation(Grant No.4212026)the Foundation Enhancement Program(Grant No.2021-JCJQ-JJ-0059).
文摘Predicting election outcomes is a crucial undertaking,and various methods are employed for this purpose,such as traditional opinion polling,and social media analysis.However,traditional polling approaches often struggle to capture the intricate nuances of voter sentiment at local levels,resulting in a limited depth of analysis and understanding.In light of this challenge,this study focuses on predicting elections at the state/regional level along with the country level,intending to offer a comprehensive analysis and deeper insights into the electoral process.To achieve this,the study introduces the Location-Based Election Prediction Model(LEPM),which utilizes social media data,specifically Twitter,and integrates location-aware sentiment analysis techniques at both the state/region and country levels.LEPM predicts the support and opposing strength of each political party/candidate.To determine the location of users/voters who have not disclosed their location information in tweets,the model utilizes a Voter Location Detection(VotLocaDetect)approach,which leverages recent tweets/posts.The sentiment analysis techniques employed in this study include rule-based sentiment analysis,Valence Aware Dictionary and Sentiment Reasoner(VADER)as well as transformers-based sentiment analysis such as Bidirectional Encoder Representations from Transformers(BERT),BERTweet,and Election based BERT(ElecBERT).This study uses the 2020 United States(US)Presidential Election as a case study.By applying the LEPM model to the election,the study demonstrates its ability to accurately predict outcomes in forty-one states,achieving an 0.84 accuracy rate at the state level.Moreover,at the country level,the LEPM model outperforms traditional polling results.With a low Mean Absolute Error(MAE)of 0.87,the model exhibits more precise predictions and serves as a successful alternative to conventional polls and other methodologies.Leveraging the extensive social media data,the LEPM model provides nuanced insights into voter behavior,enabling policymakers to make informed decisions and facilitating in-depth analyses of elections.The study emphasizes the importance of using social media data for reliable election prediction and offers implications for enhancing prediction accuracy and understanding voter sentiment and behavior.
文摘After Democrats recaptured control of the US House at the 2018 midterms,the ramifications for American domestic and foreign policies have included increased partisan checks on President Donald Trump's proposals for immigration,energy,pollution,taxes,healthcare,and social welfare,and on the Republican Party's conservative agenda overall.After the longest government shutdown in US history over funding for a border wall to keep out illegal immigrants,Trump declared a national emergency in February 2019.Under his administration,US trade pacts with China,Mexico,Canada,Japan,the EU and other countries also face uncertainty.The Indo?Pacific Strategy and relations with Russia and Europe will remain,as is.Yet even if Sino-US trade negotiations progress,bilateral friction over high technology and cultural exchange will likely increase,and disputes over Taiwan,the South China Sea and human rights will continue.
文摘In the recent presidential election,a most bitter trial of strength since its inde-pendence took place between the“democrats”and the so-called“traditionalists”in Russia.The outcome of this rivalry has a direct bearing on thechoice of Russia’s future development path.The reelection of the incumbent Presi-dent Boris Yeltsin in the second round of the voting has offered the political guaran-tee for the country’s further search for an appropriate development strategy alongthe current track.
