Lack Of Timeliness Research Articles

Enhancing the Autonomy of Establishing Indicator Informatization.

Quality indicators are essential for hospital management, clinical decision-making, and patient care. In today's technologically advanced era, it is increasingly critical to derive effective statistical data analysis from intricate datasets. However, the administrative department within our hospital often fails to prioritize information needs due to limited resources. Consequently, the collection of indicator data continues to rely on paper-based operations.To tackle common issues in collecting indicator data, such as incomplete or inaccurate data, time-consuming aggregation and statistical analysis, and a lack of timeliness, we have implemented appropriate Business Intelligence (BI) tools. We provide educational training to empower users to create visual templates for indicators that are tailored to their specific requirements. This approach saves time, reduces data duplication, and minimizes writing errors. It enhances supervisors' understanding of the current situation and future prospects in terms of data analysis and timeliness. Ultimately, this initiative improves healthcare quality and management effectiveness.

Security evaluation of China's indium industrial chain: Perspective on substance flow throughout the whole life cycle

As the world's largest supplier of primary indium, China's indium industrial chain structure and demand change affect global supply. It is necessary to evaluate the security of China's indium industrial chain and determine the reasons that affect security. The past substance flow analysis (SFA) of indium and mineral industrial chain security evaluation has problems such as a lack of timeliness, a single dimension mainly focusing on the upstream, and simple evaluation methods. In this paper, based on the SFA, an integrated evaluation system for the whole life cycle is constructed from 2000 to 2022 according to mineral industrial chain security characteristics. The results show that since introducing liquid crystal in 2003, China's indium industrial chain security level has been low despite a slight increase. Although China has gradually broken through the production technology of high-purity indium and indium tin oxide (ITO) targets, the large consumption and export of refined indium has reduced China's indium metal stock to 2214 t, while the resource reserves advantage is also diminishing. Mass consumption has also led China to import more ores, while China still imports high-end products from other countries with high import source concentrations. The pollutants emitted by the large production and the declining environmental governance level pose a significant environmental threat. Finally, suggestions for strengthening international cooperation, increasing technological research, establishing a reserve system, risk monitoring mechanisms, and strict emission standards can improve China's indium industrial chain security.

BitTrace

Bitcoin is a digital currency system built on the foundation of fairness. However, some malicious miners, driven by their own interests, employ unfair tactics such as selfish mining to compete, which disregard the legitimate miners' investments in computational power and energy consumption. In order to assess the efficiency of the Bitcoin system in real-time and promptly detect malicious miners in the network, this paper proposes a data collection framework called BitTrace, which addresses the issues of low efficiency, lack of timeliness, and data loss in traditional data collection frameworks. BitTrace enables real-time collection and analysis of the blockchain formation process, storing it as structured data. Furthermore, the paper discusses factors that influence the efficiency of data collection and proposes a topological control scheme based on the DPC algorithm to enhance the integrity and efficiency of data collection. Researchers can explore various research areas and applications, such as selfish mining detection and legitimate mining strategy research.

Plug-and-play DPC-based quantitative phase microscope.

Point-of-care testing (POCT) plays an increasingly important role in biomedical research and health care. Quantitative phase microscopes (QPMs) with good contrast, no invasion, no labeling, high speed and automation could be effectively applied for POCT. However, most QPMs are fixed on the optical platform with bulky size, lack of timeliness, which remained challenging in POCT solutions. In this paper, we proposed a plug-and-play QPM with multimode imaging based on the quantitative differential phase contrast (qDPC) method. The system employs a programmable LED array as the light source and uses the GPU to accelerate the calculation, which can realize multi-contrast imaging with six modes. Accurate phase measurement and real-time phase imaging are implemented by the proposed qDPC algorithms for quantitative phase targets and biomedical samples. A 3D electric control platform is designed for mechanical control of field of view and focusing without manual operations. The experimental results verify the robustness and high performance of the setup. Even a rookie could finish the POCT scheme for biomedical applications at the scene using the QPM with a compact size of 140 × 165 × 250 mm3.

The Differential Timeliness of Stock Price in Incorporating Bad versus Good News and the Earnings-Return Asymmetry

ABSTRACT The larger association between earnings and contemporaneous returns for negative returns than for positive returns is often attributed to conditional conservatism. We reason that this asymmetry may also be driven by the lack of timeliness with which stock price incorporates bad news relative to good news. Consistent with our reasoning, we show that when stock price incorporates bad news with delay, the asymmetry can exist in the absence of conditional conservatism. This suggests the testable hypothesis that the asymmetry decreases (increases) with factors that facilitate (impede) the incorporation of bad news into stock price. Using stock liquidity to test this hypothesis, we find that the earnings-return asymmetry decreases as stock liquidity increases. Our findings support the view that variation in the earnings-return asymmetry also reflects variation in the quality of the return generation process. Data Availability: Data are available from public sources cited in the text. JEL Classifications: G14; G40; M4; M40; M41.

Achieving rapid and significant results in healthcare services by using the theory of constraints

ABSTRACT Lack of timeliness and capacity are seen as fundamental problems that jeopardise healthcare delivery systems everywhere. Many believe the shortage of medical providers is causing this timeliness problem. This action research presents how one doctor implemented the theory of constraints (TOC) to improve the throughput (quantity of patients treated) of his ophthalmology imaging practice by 64% in a few weeks with little to no expense. The five focusing steps (5FS) guided the TOC implementation – which included the drum-buffer-rope scheduling and buffer management – and occurred in a matter of days. The implementation provided significant bottom-line results almost immediately. This article explains each step of the 5FS in general terms followed by specific applications to healthcare services, as well as the detailed use in this action research. Although TOC successfully addressed the practice problems, this implementation was not sustained after the TOC champion left the organisation. However, this drawback provided valuable knowledge. The article provides insightful knowledge to help readers implement TOC in their environments to provide immediate and significant results at little to no expense.

Compliance of Primary Healthcare Workers in Saudi Arabia With the National Surveillance System of Tropical and Non-tropical Dermatological Diseases.

Control and prevention of infectious diseases has been a primary health mandate. The reporting system is a vital step in preventing and controlling of these diseases. Most important, healthcare workers who have a responsibility to report must be aware of this responsibility. The present study aimed to improve the compliance of primary healthcare workers against reportable tropical and non-tropical dermatological diseases. The objective was to assess the knowledge, skills, and practice of primary healthcare workers in Saudi Arabia regarding the surveillance system of reportable tropical and non-tropical dermatological diseases using an assessment tool featuring closed-ended questions. As a secondary objective, this study assessed the satisfaction of primary healthcare workers with the surveillance system. Through a cross-sectional design, the study used an electronic self-administered questionnaire targeting the primary healthcare workers who met the inclusion criteria through a non-probability sampling technique. By the end of the study period, data had been collected from 377 primary healthcare workers. Slightly more than half of them worked for the ministry of health facilities. In the last year, the vast majority (88%) of participants did not report any infectious diseases. Poor or low knowledge was reported by almost half of the participants concerning which dermatological diseases should be notified immediately on clinical suspicion or routinely on a weekly basis. Clinically and in response to the skills assessment, 57% of the participants had lower skills scores in detecting and identifying the skin ulcer of leishmania. Half of the participants were less satisfied with the feedback after their notification and considered the notification forms complicated and time-consuming, especially with the usual high workload in primary healthcare centers. Furthermore, the observed significant differences (p < 0.001) in knowledge and skill scores were demonstrated with female healthcare workers, older participants, employees from the Ministry of National Guard Health Affairs, and workers with more than ten years of experience. The present study has shown the limitations of public health surveillance due to underreporting and lack of timeliness. The dissatisfaction of study participants with feedback after the notification step is another finding that demonstrates the need for collaboration among public health authorities and healthcare workers. Fortunately, health departments can implement measures to improve practitioners' awareness through continuous medical education and providing frequent feedback to overcome these hurdles.

Intelligent Operation of Financial Department in XX Furniture Enterprise under the Background of Digital Economy

Driven by information technology and data capital, the scale and capital of modern enterprises and government organizations have grown rapidly. The traditional manual financial management model is no longer able to adapt to the rapidly developing economic rhythm. Modern enterprises and government organizations are promoting the intelligent application of financial management systems. However, in intelligent applications, there are still issues such as lack of financial information integrity, lack of timeliness, and low collaboration. How to help enterprises improve the comprehensiveness of financial management analysis, use intelligent information technology to improve the analysis of complex problems, provide practical guidance for enterprises to make comprehensive and accurate decisions, and reduce financial management risks. This article takes XX furniture enterprise as the research object, analyses the intelligent financial management process of the enterprise, and provides certain reference and reference for similar enterprises. The furniture industry is currently experiencing rapid technological updates and fierce competition. XX Furniture Enterprise is a technology and capital intensive enterprise that requires the financial management department to timely and accurately collect the financial status and relevant information of the enterprise, evaluate its financial decisions, and make accurate decision recommendations and risk level warnings based on financial data. This article conducts a survey on the financial department of XX furniture enterprise, points out the current situation of the financial department of XX furniture enterprise, and proposes methods to improve the financial analysis difficulties faced by the enterprise. Keywords: digital economy; Digital management; financial management

Where is the Force?: Mismatches and Contradictions with Post-Disaster Recovery and Rehabilitation Task Forces

The Philippines frequently experiences natural disasters and occasionally man-made ones. As such, Republic Act No. 10121, also known as the Philippine Disaster Risk Reduction and Management Act of 2010, provides designated lead agencies to respond to different stages of disaster management. Despite this, the Philippine government has resorted to the creation of inter-agency task forces (IATFs) to deal with these disasters. These task forces were designed to expedite the implementation of rehabilitation programs and projects. However, in the cases of Task Force Yolanda and Task Force Bangon Marawi, the completion of such programs for typhoon Yolanda and Marawi siege affected areas has been delayed tremendously despite the presence of IATFs. Through an assessment on the effectiveness of the IATFs’ clusters using the multiple case study approach, this paper aims to determine whether or not IATFs were necessary for the recovery and rehabilitation phase of Typhoon Yolanda and the Marawi siege. Upon carrying out the assessment, the lack of timeliness and planning of rehabilitation programs, inconsistencies in the NEDA and OCD reports, insufficient community participation, and the mismatch of services and needs were observed. As such, this paper recommends the creation of criteria for the selection of task force leadership along with other measures that can increase the government’s transparency and accountability through periodical auditing and encourage community participation in rehabilitation initiatives.

Research on Intelligent Multimedia Distance Teaching System considering Virtual Reality Technology

With the continuous growth of the social economy, teaching methods are constantly innovating and changing, from the traditional subjective single teaching mode to the new teacher-student interactive teaching mode supplemented by various network resources, but there are still some influencing factors in these teaching modes. In view of these deficiencies and needs, for the purpose of addressing the issues of the traditional teaching model such as lack of timeliness, inaccuracy, and high energy consumption, the virtual reality (VR) technology is applied to the intelligent multimedia distance teaching system. Combining the existing teaching requirements and the frame structure of the multimedia distance teaching system design, the hardware and software systems of the system are designed, respectively. User login can be realized through software and hardware system design. Through teaching resources, teaching management, and other functions, the VR technology can be used to complete the reasonable allocation of multimedia teaching resources to enhance multimedia teaching quality effectively. Finally, the test results are analyzed. Compared with other teaching systems, the proposed intelligent multimedia distance teaching system can lower the transmission energy and signal-to-noise ratio (SNR) of teaching resource data effectively, which is of certain practical value.

DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data

The stable and reliable supply of electric power is strongly related to the normal social production. In recent years, power transmission lines inspection based on remote sensing methods has made great progress, especially using the UAV-borne LiDAR system. The extraction and identification of power transmission lines (i.e., conductors) from 3D point clouds are the basis of LiDAR data-based power grid risk management. However, existing rule-based/traditional machine learning extraction approaches have exposed some limitations, such as the lack of timeliness and generalization. Moreover, the potential of deep learning is seriously overlooked in RoW (Right of Way) LiDAR inspection tasks. Thus, we proposed DCPLD-Net: a diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-borne LiDAR data. To implement efficient 2D convolution on 3D point clouds, we proposed a novel point cloud representation, named Cross Section View (CSV), which transforms the discrete point clouds into 3D tensors constructed by voxels with a deformed geometric shape along the flight trajectory. After the CSV feature generation, the encoded features of each voxel are treated as energy (i.e., heat) signals and diffused in space to generate diffusion feature maps. The feature of the power line points are thus enhanced through this simulated physical process (diffusion). Finally, a single-stage detector named PLDNet is proposed for the multiscale detection of conductors on the diffused CSV representations. The experimental results show that the DCPLD-Net achieves an average F1 score of 97.14 % at 8 Hz detection frequency on RoWs inspection LiDAR datasets collected by both mini-UAV LiDAR and large-scale fully autonomous UAV power lines inspection robots, and surpasses compared methods (i.e. PointNet ++, RandLA-Net) in terms of F1 scores and IoU.

A Lightweight Subgraph-Based Deep Learning Approach for Fall Recognition.

Falls pose a great danger to social development, especially to the elderly population. When a fall occurs, the body’s center of gravity moves from a high position to a low position, and the magnitude of change varies among body parts. Most existing fall recognition methods based on deep learning have not yet considered the differences between the movement and the change in amplitude of each body part. Besides, some problems exist such as complicated design, slow detection speed, and lack of timeliness. To alleviate these problems, a lightweight subgraph-based deep learning method utilizing skeleton information for fall recognition is proposed in this paper. The skeleton information of the human body is extracted by OpenPose, and an end-to-end lightweight subgraph-based network is designed. Sub-graph division and sub-graph attention modules are introduced to add a larger perceptual field while maintaining its lightweight characteristics. A multi-scale temporal convolution module is also designed to extract and fuse multi-scale temporal features, which enriches the feature representation. The proposed method is evaluated on a partial fall dataset collected in NTU and on two public datasets, and outperforms existing methods. It indicates that the proposed method is accurate and lightweight, which means it is suitable for real-time detection and rapid response to falls.

Big bath accounting and CEO turnover: the interplay between optimal contracts and career concerns

Following executive turnovers big bath accounting is often observed. We investigate a new manager’s earnings management incentives in his first year in office in a two-period model with career concerns and earnings’ lack of timeliness. We determine the optimal incentive contract and decompose the manager’s equilibrium earnings management into two components: an explicit incentive resulting from the compensation contract and an implicit incentive from career concerns. While career concerns always motivate the manager to shift earnings backwards, the optimal contract induces the manager to either shift earnings forwards or backwards. In particular, we show that with optimal contracts a "negative" big bath may result in equilibrium, i.e., the manager may inflate earnings after a CEO turnover. We demonstrate how the optimal contract and the equilibrium earnings management strategy depend on the earnings’ timeliness, the precision of the initial information about the manager’s ability and the intensity of competition for CEOs. Our results may help to explain why big bath accounting after a CEO turnover is observed in many but not in all cases.

Research on artificial intelligence of accounting information processing based on image processing

&lt;abstract&gt; &lt;p&gt;The rapid development and wide application of artificial intelligence is deeply affecting all aspects of human society. Combine artificial intelligence with the accounting industry, use computers to efficiently and automatically process accounting information, and let the accounting industry move towards the intelligent era. This can help people reduce the workload and speed up work efficiency. In recent years, with the rapid development of economy and technology, the use of financial instrument vouchers has exploded, but the processing requirements of financial instrument vouchers have become more and more efficient. Traditional accounting information processing methods, due to the staff's energy and ability, it is often difficult to quickly and accurately handle accounting information. This makes the processing of accounting information lack of timeliness, the degree of utilization of accounting information by enterprises is relatively low, and the demand for intelligent processing of accounting information is constantly pressing. In view of the above problems, this paper uses image processing technology to intelligently identify the content of accounting information to achieve automatic ticket input, improve work efficiency, reduce error rate and reduce labor costs. By simulating the actual 230 invoice images, the results show that the recognition accuracy rate is as high as 98.7%. The results show that the method is effective and has great application value, which is of great significance to the artificial intelligence of accounting information processing.&lt;/p&gt; &lt;/abstract&gt;

Analisis Kualitas Pelayanan dalam Penerbitan Sertifikat Tanah di Badan Pertanahan Nasional Kabupaten Nagan Raya

The purpose of this study is to analyze the quality of service in the issuance of land certificates at Badan Pertanahan Nasional (BPN) Nagan Raya Regency. This research is qualitative research with a post-positivist approach. In this study the data obtained by researchers from observations, interviews, and documentation. The results of this study note that the certainty of the time and method of service in the issuance of land certificates at the BPN Nagan Raya Regency is still not done well. This is because officers still often extend the process of making land certificates, then in terms of the cost of obtaining land title certificates at the Nagan Raya BPN office, there are still many people who feel dissatisfied because there are additional costs that must be met by the community such as transportation costs for officers. Then regarding the obstacles that are often encountered by officers in terms of issuing land certificates are the frequent occurrence of disputes or disputes over land, incomplete files in the management of land certificates, boundary stakes, and lack of timeliness. Therefore, it is expected that employees at the Nagan Raya Regency BPN Office can provide accurate explanations to the community when processing land certificates both in terms of completeness of files, costs and time required by employees, so that with this the community can feel good service and comfort. and employees can carry out their duties according to the tempo that has been given to the community.

Abstract 12648: Improvements In Post-operative Cardiac Surgery Arrhythmia Identification Using The Atriamp Signals

Background: Following cardiac surgery, as many as 60% of patients will experience an arrhythmia. These arrhythmias are associated with increased morbidity and occasional mortality. Therefore, rapid and accurate identification is paramount to the improvement of patient outcome. Unfortunately, until now monitoring was limited by lack of timeliness or clarity. Here we evaluate the confidence and accuracy of rhythm diagnosis using the AtriAmp, a UW device that allows continuous arrhythmia monitoring. Methods: An ongoing IRB approved prospective observational study of children less than or equal to 18 years of age admitted to the PICU with atrial pacing wires following congenital heart surgery. The AtriAmp was connected to atrial pacing wires and the atrial ECG (AEG) was displayed along with a surface ECG on GE monitors. Nine different types of arrhythmias were collected over the course of the first five months of the study. A 20-question online survey was given to critical care and cardiology providers. Ten questions displayed signals from only the surface leads, the other ten showed the same arrhythmias with AtriAmp signal also displayed. Answers were evaluated for confidence and accuracy. Results: 40 providers were given the survey with 72% completing at the time of this abstract submission. Paired t-tests and mixed effects modeling were used to assess the data. The overall accuracy of diagnosis increased when using the Atriamp signals along with the surface ECG, but it was not statistically significant (p=0.07). Improvements in accuracy were most notable with atrial ectopic tachycardia (AET), Ventricular tachycardia (VT) and junctional ectopic tachycardia (JET). Provider confidence in diagnosis increased significantly when using the Atriamp signals (48%) compared to using only the surface ECG (62%) to diagnose arrhythmias (p&lt;0.001). Conclusion: Use of the AtriAmp increased provider confidence in the diagnosis of post-operative arrhythmias when compared to the same arrhythmias seen on surface electrograms. Future research among a larger sample of providers is needed to further evaluate the use of AtriAmp in arrythmia diagnosis.

Addressing sexual violence and misconduct in college athletics: An alternate model of investigation and resolution

ABSTRACT Increases in sexual misconduct charges brought against college athletes and athletic programs have created a public relations crisis for the NCAA. Lack of timeliness, proper reporting, investigation, and appropriate resolution of sexual assault incidents has created negative public perceptions of college athletics and, more importantly, likely failed to properly meet the standards of gender equality in higher education. The NCAA does not possess the legal authority to bring criminal charges or levy punishments for crimes. Yet, it does possess the financial means to address these issues. An Independent Accountability Administration is proposed. This third-party entity would improve the NCAA's processes in resolving these issues by authorizing with the responsibility and power to effectively handle claims of sexual violence and harassment involving college athletes from inception to resolution, as well as foster a more appropriate culture of gender equality by emphasizing prevention education while also allowing for due process.

Trends and Opportunities in Health Economic Evaluations of Prosthetic Care Innovations.

Overcoming obstacles to prosthetic fittings requires frequent tryouts of sockets and components. Repetitions of interventions are upsetting for users and place substantial economic burden on healthcare systems. Encouraging prosthetic care innovations capable of alleviating clinical and financial shortcomings of socket-based solutions is essential. Nonetheless, evidence of socio-economic benefits of an innovation are required to facilitate access to markets. Unfortunately, complex decisions must be made when allocating resources toward the most relevant health economic evaluation (HEE) at a given stage of development of an innovation. This paper first, aimed to show the importance and challenges of HEEs of intervention facilitating prosthetic fittings. Next, the main trends in HEEs at various phases of product development and clinical acceptance of prosthetic care innovations were outlined. Then, opportunities for a basic framework of a preliminary cost-utility analysis (CUA) during the mid-stage of development of prosthetic care innovations were highlighted. To do this, fundamental and applied health economic literature and prosthetic-specific publications were reviewed to extract and analyse the trends in HEEs of new medical and prosthetic technologies, respectively. The findings show there is consensus around the weaknesses of full CUAs (e.g., lack of timeliness, resource-intensive) and strengths of preliminary CUAs (e.g., identify evidence gaps, educate design of full CUA, fast-track approval). However, several obstacles must be overcome before preliminary CUA of prosthetic care innovations will be routinely carried out. Disparities of methods and constructs of usual preliminary CUA are barriers that could be alleviated by a more standardized framework. The paper concludes by identifying that there are opportunities for the development of a basic framework of preliminary CUA of prosthetic care innovations. Ultimately, the collaborative design of a framework could simplify selection of the methods, standardise outcomes, ease comparisons between innovations and streamline pathways for adoption. This might facilitate access to economical solutions that could improve the life of individuals suffering from limb loss.

Recalibrating Management Research for the Post‐COVID‐19 Scientific Enterprise

Recalibrating Management Research for the Post‐COVID‐19 Scientific Enterprise

Efektivitas Roadmap Program Corporate Social Responsibility pada IPC II (Indonesia Port Corporation) tahun 2018 - 2020

Corporate Social Responsibility is an obligation carried out by the company and regulated in article 74 paragraph (1) of Law No. 40 of 2007 on Limited Liability Companies. Social responsibility carried out by IPC is realized through the IPC Peduli program. The purpose of this research is to find out the effect of roadmap csr programs on IPC II.. The method used in this research is a type of descriptive study with a qualitative approach. Data collection is conducted using observation techniques, interviews and documentation. The results showed that there are three areas of programs that become the main focus of CSR in IPC, namely in the field of environment, education and health. The effectiveness of the roadmap CSR programs at IPC can be shown that the implementation is considered quite effective on several indicators such as target accuracy, goal achievement and real change indicators. Indicators whose implementation is not optimal are focused on understanding related to CSR programs. The peoples around the portof panjang has not fully understand every CSR programs in IPC due to the lack of socialization carried out by the IPC to the community, and the lack of timeliness in the implementation of activities in the environmental and health fields. In the implementation of CSR programs there are inhibitory factors and supporting factors from internal and external aspects.