Wrong Time Research Articles

A decomposition-based many-objective evolutionary algorithm with Q-learning guide weight vectors update

When dealing with regular, simple Pareto fronts (PFs), the decomposition-based multi-objective optimization algorithm (MOEA/D) performs well by presetting a set of uniformly distributed weight vectors. However, its performance declines when faced with complex and irregular PFs. Many algorithms address this problem by periodically adjusting the distribution of the weight vectors, but these methods do not take into account the performance of the population and are likely to update the weight vectors at the wrong time. In addition, for the SBX crossover operator, the setting of its distribution index will largely affect the exploration and convergence ability of the algorithm, so a single parameter setting will have negative impacts. To tackle these challenges, this paper proposes a method to simultaneously adaptively update weight vectors and optimize SBX parameter via Q-learning(RL-MaOEA/D). In order to make the strategies made by Q-learning more accurate, Two different metrics (CD and NCD) are proposed that capture diversity and convergence of individual and population respectively. RL-MaOEA/D is compared with seven state-of-the-art algorithms on different problems, and the simulation results reflect that the proposed algorithm has better performance.

“The delights of intellectual vagrancy, of the improvised chase after a fleeting allusion”: Edith Wharton’s A Son at the Front

Abstract A Son at the Front was an underrated novel at the time of publication and consigned to the margins of World War I literature for many years. A number of contemporary reviewers failed to appreciate the depth of the novel, particularly with regard to Wharton’s complex use of allusions, and faulted it for being out of touch with modern fiction and being published at the wrong time. The years covered by the narrative had been consigned to history and events that had overtaken the period of American neutrality for those who sought retreat into isolationism. Memorialization of those who had fought and died in the war was, however, very much an ongoing process, particularly in the public erection of monuments among participant countries, and they have remained to this day the sites for public ceremonies of commemoration. This article focuses on Wharton’s reference to a knight’s effigy, Luca Signorelli, and a painting of the Inquisition attributed to Juan de Borgoña, to the Christian iconography of medieval and early Renaissance art, as a way of understanding how her novel probed the contestation over how to memorialize the death of soldiers in World War I amid a polarized response to American involvement.

“CORPSE OF DUST” (XÁC BỤI) SHORT STORY OF NGUYEN NGOC TU FROM THE PERSPECTIVE OF PSYCHOANALYSIS

With the short story “Corpse of dust” (Xác bụi), Nguyen Ngoc Tu has created a new and impressive view of how to build a plot according to psychological characteristics. The story structure is a series of developments in the psychology of Diu's character revolving around the subtleties and sensitivity to many changing events of life. Using the psychoanalytic structure from the theory of psychoanalysis, the confusion in the protagonist's psychology is explained by the system of the “ID”, the “ego” and the “superego”. The psychological struggle of wrong times and deviations from moral norms is clearly exposed in the sympathetic gaze of readers. The Psychoanalytic Theory has helped those who come into contact with this short story to be touched and sad for the love, meaning and fidelity of the girls in the Southwest of Vietnam when in love.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0799/a.php" alt="Hit counter" /></p>

Medication errors and mitigation strategies in obstetric anesthesia.

Medication administration errors represent a significant yet preventable cause of patient harm in the peripartum period. Implementation of best practices contained in this manuscript can significantly reduce medication errors and associated patient harm. Cases of medication errors involving unintended intrathecal administration of tranexamic acid highlight the need to improve medication safety in peripartum patients and obstetric anesthesia. In obstetric anesthesia, medication errors can include wrong medication, dose, route, time, patient, or infusion setting. These errors are often underreported, have the potential to be catastrophic, and most can be prevented. Implementation of various types of best practice cost effective mitigation strategies include recommendations to improve drug labeling, optimize storage, determine correct medication prior to administration, use non-Luer epidural and intravenous connection ports, follow patient monitoring guidelines, use smart pumps and protocols for all infusions, disseminate medication safety educational material, and optimize staffing models. Vigilance in patient care and implementation of improved patient safety measures are urgently needed to decrease harm to mothers and newborns worldwide.

Right Product, Wrong Time? Temporal Legitimacy of New Product Development in Projects

Right Product, Wrong Time? Temporal Legitimacy of New Product Development in Projects

The use of herbal medicine for hypertension in rural and urban Thailand: a cross sectional study

IntroductionUsing herbal medicine to treat hypertension is common in Thailand. However, there is variation in the use of herbs between rural and urban areas. This study aims to observe the prevalence of herb use, describe herb users’ behaviours, and describe anti-hypertensive drug compliance among the users. MethodsA cross-sectional survey among hypertensive patients visiting primary care services in Tak (rural) and Chiang Mai (urban) provinces was conducted between March and April 2019. Patients were assessed by using questionnaires that gathered information about patient demographic data, history of hypertension, herb use behaviours, and the concurrent use of standard treatment. ResultsIn total, 400 participants were included in this study—200 from rural and 200 from urban areas. Sixty-two percent were female. The prevalence of herb use was 13.0% in urban areas and 17.5% in the rural areas. Rural participants reported a significantly longer duration of herb use (P < 0.01), and a significantly higher proportion of using unapproved herbal products (91% vs 54%, P < 0.001). Participants mostly use herbs along with standard treatment (86.9%); nevertheless, poor drug compliance was similar in both areas, with rural participants more frequently taking their medications at the wrong time (P = 0.03). ConclusionThere was a trend of higher use of unapproved herbals in rural participants. Drug compliance among herb users was poor. It is recommended that a comprehensive assessment of herb use is conducted during care for hypertensive patients in this and similar contexts.

Cattle Artificial Insemination Service in Developing Countries: Efficiency, Major Challenges and Economic Loss: A Review

This review paper summarizes information on the efficiency, major challenges and economic loss of cattle Artificial Insemination (AI) service in developing countries. Efficiency of AI service can be measured by number of services per conception (NSC), conception rate at first insemination, and calving rate (CR). The optimum recommended NSC for profitable dairy cow ranges from 1.0-2.0. The averages of NSC of the conventional AI (1.73) and fixed time AI (1.78) in the reviewed publications were in the ranges of the recommendations of NSC. The NSC varies with animal breeds, animal factor (body condition score, age and parity), semen factor (handling procedure and quality), inseminator factor (knowledge, skill and experience), production systems, management level provided and AI breeding methods. The NSC and calving rate vary with conventional AI and fixed time AI breeding methods. Likewise, calving rate (CR) is influenced by poor semen quality, poor semen handling procedure, inadequate insemination skill, poor oestrus detection and wrong time of insemination. The average success rate (CR) of conventional AI (35.15%) in the reviewed publications is far below the success rates reported in some developing countries. Nevertheless, widespread use and longtime use of AI service on selected genotype(s) can cause cattle biodiversity loss. Dairy producers incur additional costs when cows fail to conceive at their first AI services. Moreover, challenges of AI service comprised of feed scarcity, animal diseases, climate change, poor AI infrastructure, poor livestock husbandry practices, weak livestock extension systems and incapability of Artificial Insemination Technicians (AITs). This calls designing suitable interventions to improve the efficiency of AI services. Adequate feed and high level of management should be provided to the breedable cows and heifers. AI service centers should be established as per the recommended number of breedable cows and heifers. AI inputs including AITs should be always available at each AI service center, and proper AI service recording should be practiced. Sexed semen should be used to enhance the number of replacement heifers, and capacity building should be provided to AITs and community cattle breeders. Radio, television and printed medias should be used to enhance the awareness of the community cattle breeders. Frequent extension support is essential for the success rate of the AI service.

Nutritional care practices for children from 6 to 24 months old by Cham ethnic mothers

Background: This study aims to explore the nutritional care practices for children from 6 to 24 months old by Cham ethnic mothers in Tan Chau town, An Giang province in 2018. Methods: A cross-sectional study was conducted on Cham ethnic children aged from 6 to 24 months and their mothers living in Tan Chau town, An Giang province. Results: The rate of mothers practicing proper and sufficient prenatal care during pregnancy is 74.4%; the rate of mothers engaging in lighter work than before pregnancy is 64.2%; the rate of mothers eating more than before pregnancy is 72.2%; the rate of mothers taking iron supplements during pregnancy is high at 85%. Practices regarding the timing of weaning children are not good, with 36.8% of mothers weaning children at the wrong time. Practices for feeding children supplementary foods are relatively good: 90.7% of mothers feed their children at the right time, however, the rate of mothers providing children with a complete range of food groups is only 23.0%. Maternal care practices for sick children have many shortcomings, with 81.7% of mothers feeding children incorrectly when they have diarrhea, and only 38.4% of children receiving oral rehydration solution (ORS) when they have diarrhea. Personal hygiene practices of the mother and child care are not good, with 24.3% of mothers not properly performing hand hygiene for themselves and their children. Conclusions: We need to strengthen propaganda and consulting work for each group of subjects, especially the Cham ethnic people, on nutritional care practices for children from 6-24 months old.

Thorns of Failures: Views of Non-Passers of Criminology Board Examination

Philippine Regulation Commission (PRC) records show that the national passing percentage in the Criminologist Licensure Examination (CLE) is deteriorating. The number of unlicensed Criminology graduates throughout the country is increasing. This study explored the lived experiences of non-passers of the Criminologist Licensure Examination (CLE) through a qualitative research method. The informants of this study were 10 board exam flunkers throughout the Province of Cebu. Four informants were used for the in-depth interview, and six were used for the focus group discussion. Eight (8) emergent themes described the positive and negative experiences of the informants before, during, and after the board exam. For the positive experiences, four (4) themes were developed, namely: Take a Trip Down Memory Lane, Licensure Examination: The Main Event, Acceptance and Moving Forward and Contingency Plan: Look for a Job. For the negative experiences, four (4) themes were formulated, namely: The Chronicles of Review, Test Anxiety: The Feeling of Taking the Licensure Examination, Board Exam Result: A Flunker’s Nightmare and Mission Unsuccessful. For the plights of the informants before, during, and after taking the licensure examination, eight (8) emergent themes were formulated, namely: Procrastination and Idleness, Indiscretion of Reviewees, Financial Struggle: A Dilemma to Board Exam Takers, Family Problems: A Heavy Load to Carry, The Answer Sheet: A Fragile Piece of Paper, Bad Luck: In the Wrong Place at the Wrong Time, Examinee’s Inability to Comprehend Questions: A Tough Assignment, The Fallen Leaves, and Disappointments and Failure to Meet Expectations: Adding Insult to Injury. For the reasons of the informants for not retaking the exam, two (2) themes were developed, namely: Age Limit in the Tri-Bureau: Crashing the Flunker’s Aspirations and Making a Fresh Start.

Visions of childhood in The Analogs’s songs

In the article we reconstruct the understanding of a child and childhood in the works of The Analogs. Using neoclassical reading and treating the text as the Other, we first show the scenery of childhood. We ask about relationships with adults, and finally, we wonder whether there is a happy childhood in this narrative. Childhood in The Analogs’ songs is presented in grey and is associated with violence and things belonging to the world of adults. There is no sharp boundary between a child and an adult. Childhood is a vestibule of hell to which those born at the wrong time are condemned. Finally, we point out that the vision of childhood in the works of The Analogs does not fit into the dominant discourses about children and poses tasks that can be solved by critical pedagogy.

AI Driven Applications for Precision Weed Management in Agricultural Crops

Agriculture plays a most important role in our Indian economy and therefore lowering the cost of production and improving the quality of agricultural products is highly demanded. A weed is a plant which grows in wrong place at the wrong time and doing mostly harm than crops. Weed competes with the crops for water, light, nutrients and space, and therefore it prevents crop yields. This paper proposes a new method in a contrary way, which combines deep learning and image processing technology to prevent these weeds. Machine learning technologies, are becoming crucial in agriculture to increase productivity, where advanced automation and control have been required. Based on large training datasets and pre-trained models, (Deep Learning) DL-based Convolutional Neural Networks (CNN) methods have proven to be more accurate than previous traditional techniques. Recently, Deep Learning (DL) has gained much attention due to its advantages in object detection, classification, and feature extraction. The system implementation of image processing technique for weed detection, a trained image is taken as a sample in order to demonstrate the difference between weed and the crop. Yolo frame work is used for annotate boundary boxes to the image with datasets. The effectiveness of the (You Only Live Once) YOLO-WEED system for real-time Unmanned Aerial Vehicle (UAV) weed detection, given its high speed and high accuracy in detection. After certain steps, we get desired output, where the weeds are separated from the crop that has been taken in the sample image. Key Words: DeepLearning,CNN, Unmanned Aerial Vehicle (UAV), Precision Weed Detection.

Forecasting geomagnetic activity: Neural networks, moving windows and state transition models

Geomagnetic activity shows high degrees of nonlinear variability. The probability distribution has heavy tails, and there are intermittent outliers. This has led to increased interest in forecasting using neural networks and nonlinear regressions, which include time-varying coefficient techniques. Because geomagnetic storms pose the greatest threat to satellites and power grids, there is a particular interest in predicting outlying events. The model proposed here combines two techniques. Neural networks and regressions are trained over moving windows of observations, so that the weights or coefficients adjust to new data. Second, logistic regression is used to predict the periods of high activity, and the cumulative distribution function is used as a causal input in time series and machine learning models. The data set is the Aa index, corrected for secular drift. Forecasting experiments are run over horizons of 1–4 days. The other models include time-varying parameter regressions and a recurrent neural network with fixed weights. The model combining the neural net and logistic regression achieves the most accurate forecast, although the regression is a close second. The ability to predict outliers depends on the width of the moving window. With wider windows, the overall error is lower, but the forecasted values fall into a narrower range, missing the outliers. With narrower windows, the model predicts the outliers better but is vulnerable to calling them at the wrong times, so the average error is higher. Further, while the model achieves more accurate predictions at 1 day, at longer horizons the accuracy deteriorates quite rapidly.

Model design to investigate the role of augmented reality technology on contextual marketing: a system dynamics approach

In E-commerce, one of the most essential reasons of company failures is conveying the right content of their product to the customers at the wrong time. This could include the company inability to adapt to their environment dynamically. With the existence of special circumstances like COVID-19 pandemic, companies require launching new techs, if they are to grow and stay competitive, and since the technology and related factors have a major effect on marketing success, “Systems Dynamic” sounds like a suitable tool in this regard. This article discusses augmented reality (AR) roles in contextual marketing (CM) using a system dynamics approach. After the identification of the key variables in both augmented technology and CM fields, casual relationships are defined. Then, the mathematical functions between these variables are extracted and the behavior of each factor is analyzed. Finally, based on this behavioral model, various scenarios are simulated to demonstrate how augmented reality technology can enhance the CM.

Ocean Bottom Seismometer Clock Correction using Ambient Seismic Noise

Ocean-bottom seismometers (OBSs) are equipped with seismic sensors that record acoustic and seismic events at the seafloor, which makes them suitable for investigating tectonic structures capable of generating earthquakes offshore. One critical parameter to obtain accurate earthquake locations is the absolute time of the incoming seismic signals recorded by the OBSs. It is, however, not possible to synchronize the internal clocks of the OBSs with a known reference time, given that GNSS signals are unable to reach the instrument at the sea bottom. To address this issue, here we introduce a new method to synchronize the clocks of large-scale OBS deployments. Our approach relies on the theoretical time-symmetry of time-lapse (averaged) crosscorrelations of ambient seismic noise. Deviations from symmetry are attributed to clock errors. This implies that the recovered clock errors will be obscured by lapse crosscorrelations' deviations from symmetry that are not due to clock errors. Non-uniform surface wave illumination patterns are arguably the most notable source which breaks the time symmetry. Using field data, we demonstrate that the adverse effects of non-uniform illumination patterns on the recovered clock errors can be mitigated by means of a weighted least-squares inversion that is based on station-station distances. In addition, our methodology permits the recovery of timing errors at the time of deployment of the OBSs. This error can be attributed to either: i) a wrong initial time synchronization of the OBS or ii) a timing error induced by changing temperature and pressure conditions while the OBS is sunk to the ocean floor. The methodology is implemented in an open-source Python package named OCloC, and we applied it to the OBS recordings acquired in the context of the IMAGE project in and around Reykjanes, Iceland. As expected, most OBSs suffered from clock drift. Surprisingly, we found incurred timing errors at the time of deployment for most of the OBSs.

Medication errors by caregivers in the homes of children discharged from a pediatric department in Ghana.

Medication errors (MEs) by caregivers at home are a cause of morbidity and mortality, shortly after discharge from the hospital. The objective of this study was to determine the rate and types of MEs at the homes of children discharged from a hospital in Ghana and to explore the factors associated with these errors. This was a cross-sectional study of infants and children discharged from the hospital to review medication administration practices. Caregivers of children discharged from the hospital after at least 24 hours of admission were interviewed at their homes about medication administration practices. The study assessed potential harm associated with MEs made by caregivers using the Harm Associated with Medication Error Classification tool. The Least Absolute Shrinkage and Selection Operator regression were used to identify the variables associated with MEs. A total of 95 children (mean age: 28.6 months, 52.6% female) and their caregivers were included. Overall, 65 (68.4%) children experienced one or more MEs. Out of a total of 232 medications reviewed, 102 (44.0%) (95% CI: 37.6-50.4) were associated with a ME. The top two errors, wrong time errors and errors in the frequency of dosing were, 45.1% and 21.6%, respectively. Understanding the information on the disease condition being treated and the medicines dispensed was associated with committing fewer MEs. The number of medicines prescribed was associated with a higher likelihood of MEs. Out of 102 MEs, 48 (47.1%) were assessed as posing potentially no harm, 26 (25.5%) minor harm, 15 (14.7%) moderate harm, and 13 (12.8%) serious harm to the patients. Importantly, none of the MEs were assessed as posing potentially severe or life-threatening harm to the patients. MEs in children following discharge are high, and systems should be developed to prevent these errors.

Impact of Increasing Fertilizer Prices on Productivity and Its Influence on Tobacco Farmers’ Income in Pekalongan Village

New problems have emerged in the agricultural sector related to fertilizer. Fertilizer prices have now increased to twice the previous price. Apart from that, the limited supply of non-subsidized fertilizer is a concern for farmers to continue their farming. Many farmers' land in Palongan Village is starting to be abandoned. The increase in fertilizer prices causes fertilizer to be given at the wrong time, due to the limited capital that farmers have. The impact of this problem is a decrease in tobacco productivity. This can also affect farmer income. The aim of this research is to examine further the impact of increasing fertilizer prices on tobacco productivity and its effect on farmers' income in Palongan Village. Apart from that, to analysis whether there is a difference in the productivity of tobacco farmers before the increase in fertilizer prices and after the increase in fertilizer prices. The method used in this research is the test method paired sample t-test and path analysis. The hypothesis test used is the t-test. Test results paired sample t-test stated that there was a difference in tobacco productivity before and after the increase in fertilizer prices. Test results path analysis stated that the increase in fertilizer prices directly affected tobacco productivity. Meanwhile, indirectly the increase in fertilizer prices through tobacco productivity does not have a significant effect on the income of tobacco farmers.

Evaluation of the Effectiveness of the Policy for the Repatriation of Foreign Assets into the Country in the Voluntary Disclosure Program

This research will analyze the effectiveness of the policy of repatriating foreign assets into the country in the Voluntary Disclosure Program. Researchers used the 7's framework proposed by McKinsey consultants with the elements of shared values, staff, system, structure, strategy, skills, and style in assessing the effectiveness of asset repatriation. This research aims to determine whether the repatriation of assets in the Voluntary Disclosure Program has been effective and the inhibiting factors in carrying out asset repatriation by the Directorate General of Taxes. This research uses a post-positivist approach with a descriptive research type. Data collection techniques were obtained through literature studies and field studies. Field studies were conducted using in-depth interviews with relevant stakeholders such as the Directorate General of Taxes, Academics, the House of Representatives, and Practitioners. The research results show that the elements of shared values, structure, and style are practical, but the elements of strategy, skills, staff, and systems could be more. There are also obstacles faced by the Directorate General of Taxes, namely policies implemented at the wrong time due to the COVID-19 pandemic, taxpayer assets that are not liquid plus the shadow of a global recession due to the pandemic, programs that are less attractive to taxpayers, lack of legal certainty, regarding the Voluntary Disclosure Program policy, as well as the unstable economic and political conditions in Indonesia due to the pandemic.

Energy Efficiency Analysis in the Case of Sustainable Lighting Design Butterfly Valley Park (Konya)

The concept of lighting is of great importance in providing the security that people need so that they can have a quality of life and in meeting their aesthetic needs. Lighting design is related to the physical structure and the environment, and thanks to the lighting design, the aesthetic and functional needs of people will be met and the quality of life will be increased. The need to reflect the historical, cultural and aesthetic values of the city has brought the issue of urban lighting to the agenda. Lighting systems, which are applied without paying attention to the necessary lighting standards and criteria, cause some problems in urban spaces. One of these problems is light pollution; It is generally defined as the use of light in the wrong place, in the wrong amount, in the wrong direction and at the wrong time. Light pollution adversely affects the natural life and daily lives of people, and it is necessary to take various measures to eliminate such negativities in human life, to detect and eliminate these problems. In this study; The standards for the lighting of the city parks obtained by the literature studies were determined, the current lighting situation of the Butterfly Valley Park and the recommended lighting design produced by the Relux software in accordance with the standards. According to the findings; In the current lighting project, the total power consumed as a result of the lighting of all the lamps of the area has been calculated as 96 005.0 W. In the proposed lighting project, the total power consumed as a result of the burning of all lamps was calculated as 27 630.0 W. The obtained energy gain was found to be 96 005.0 W – 36 700.0 W = 68 375.0 W. As a result of working in the light of this information, energy savings of 1 in 3 have been achieved.

The other side of capacitation: role of mouse male molecules in the regulation of time and place of capacitation.

Sperm capacitation is a necessary process for mammalian spermatozoa to acquire fertilization capability. This process occurs when the sperm enters the female's reproductive duct, involving a vital interplay with the uterine and oviductal environment, leading to morphological, physiological and biochemical modifications in the male gamete. Besides, for a successful sperm capacitation, molecules are incorporated onto the sperm's surface during its passage through the male reproductive tract followed by their subsequent removal. These molecules, referred to as decapacitation factors (DFs), also regulate capacitation, preventing this process from occurring in the wrong site or at the wrong time. While decapacitation factors have been extensively studied in recent decades in species such as Mus musculus, there is no comprehensive report consolidating information on all the identified decapacitation factors and the molecular basis of their function. The aim of this review is to summarize the data related to decapacitation factors discovered and characterized in Mus musculus. Concurrently, this review aims to elucidate the implications of different decapacitation factors throughout the fertilization process (i.e., capacitation, acrosomal reaction and fertilization), as well as the methodologies employed for their investigation. Given that mice (Mus musculus) have served as a valuable model in reproductive research due to their genetic similarity to humans, this review contributes to our understanding of the role of decapacitation factors in male fertility.

Frequency of nursing student medication errors: A systematic review

Background: Health promotion and patient safety are the main targets of the healthcare provision by the National Health Systems. As for the nursing profession, nursing students make medication errors during clinical interventions, which could be a potential danger to patient safety. The investigation of the frequency of nursing student medication errors, as well as the frequency of each type of nursing student medication errors. Method and Material: A systematic review of the literature was conducted on the electronic database "PubMed" with the keywords: "medication error", "prescribing error", "drug error", "drug use error", "drug mistake", "wrong drug", "wrong dose", "administration error", "dispensing error", "incorrect drug", "incorrect dose", "inappropriate prescribing", "inappropriate medication", "transcription error", "nursing student", "nursing trainee" and on the Greek electronic database IATROTEK-online with the keywords: "medication errors" and "nursing students", without time limit for the publication of scientific papers. On PubMed, the keywords were searched in the title and abstract of the studies. Studies were excluded if they were not published in English and Greek language, were conducted on animals, and were case studies, editorials, and letters to the editor. Results: Of the 47 scientific papers retrieved, 6 were included in the systematic review. A total of 1,904 nursing student medication errors were recorded by nursing students. The majority of errors were: 1) wrong dose form (330,17%), 2) omission error (313, 16.4%), and 3) wrong time (259, 13.6%). Conclusions: The frequency of nursing student medication errors is high. The safe administration of medications is an important skill that nursing students should learn. medication administration.