How network science application works on global supply chain management: A study on medical equipment during Covid-19 pandemic

2020 ◽  
Vol 1 (01) ◽  
pp. 08-15
Author(s):  
Mohammed Aktaruzzaman ◽  
Muhammad Joynal Abedin ◽  
MD Rakibul Islam ◽  
Abdur Rakib Nayeem
Keyword(s):  
Information Structure ◽  
Network Science ◽  
Semiconductor Industry ◽  
Production Network ◽  
Network Information ◽  
Programming Equipment ◽  
Multi Level ◽  
Safe House ◽  
Science Application ◽  
The Impact

The COVID-19 pandemic has featured the delicacy of the around the world entwined supply chains. Our essential inspiration is to direct a huge scope study utilizing mined information related with multi-level and multi-layer investigation of the worldwide store network of the clinical hardware. We analyse the information structure utilizing network science investigation instruments. This work might be a harbinger for future exploration zeroed in on select levels and layers of arranged production network information. The flow research uncovers a few beforehand obscure examples of the worldwide inventory network including the part of expense safe house countries, Personal Computer programming/equipment industry, semiconductor industry, and engine vehicle and auto bodies in the clinical gear industry. Also, we directed a profound organization investigation of the impact and job of China in worldwide clinical gear. Generally, the outcomes uncover some new and significant bits of knowledge into the worldwide store network as it identifies with clinical hardware.

Thermal-aware Output Polarity Selection Based on And-Inverter Graph Manipulation

2019 ◽  
Vol 12 (1) ◽  
pp. 30-39 ◽  
Author(s):  
Apangshu Das ◽  
Sambhu Nath Pradhan
Keyword(s):  
Integrated Circuits ◽  
Power Density ◽  
Logic Synthesis ◽  
Programmable Logic Arrays ◽  
Power Switching ◽  
Nsga Ii ◽  
Multi Level ◽  
Search Approach ◽  
Efficient Power ◽  
The Impact

Background: Output polarity of the sub-function is generally considered to reduce the area and power of a circuit at the two-level realization. Along with area and power, the power-density is also one of the significant parameter which needs to be consider, because power-density directly converges to circuit temperature. More than 50% of the modern day integrated circuits are damaged due to excessive overheating. Methods: This work demonstrates the impact of efficient power density based logic synthesis (in the form of suitable polarity selection of sub-function of Programmable Logic Arrays (PLAs) for its multilevel realization) for the reduction of temperature. Two-level PLA optimization using output polarity selection is considered first and compared with other existing techniques and then And-Invert Graphs (AIG) based multi-level realization has been considered to overcome the redundant solution generated in two-level synthesis. AIG nodes and associated power dissipation can be reduced by rewriting, refactoring and balancing technique. Reduction of nodes leads to the reduction of the area but on the contrary increases power and power density of the circuit. A meta-heuristic search approach i.e., Nondominated Sorting Genetic Algorithm-II (NSGA-II) is proposed to select the suitable output polarity of PLA sub-functions for its optimal realization. Results: Best power density based solution saves up to 8.29% power density compared to ‘espresso – dopo’ based solutions. Around 9.57% saving in area and 9.67% saving in power (switching activity) are obtained with respect to ‘espresso’ based solution using NSGA-II. Conclusion: Suitable output polarity realized circuit is converted into multi-level AIG structure and synthesized to overcome the redundant solution at the two-level circuit. It is observed that with the increase in power density, the temperature of a particular circuit is also increases.

Hospital Informatization in China During the COVID-19 Pandemic: A Cross-Sectional Internet-Based Survey Study (Preprint)

2020 ◽  
Author(s):  
Ke Zeng ◽  
Weiguo Zhu ◽  
Caiyou Wang ◽  
Liyan Zhu
Keyword(s):  
Information Technology ◽  
Information Security ◽  
Medical Information ◽  
Survey Study ◽  
Chinese Government ◽  
Qr Code ◽  
Cross Sectional ◽  
Network Information ◽  
Tertiary Hospitals ◽  
The Impact

BACKGROUND The rapid spread of COVID-19 has created a severe challenge to China’s healthcare system. Hospitals across the country reacted quickly under the leadership of the Chinese government and implemented a range of informatization measures to effectively respond to the COVID-19. OBJECTIVE To understand the impact of the pandemic on the medical business of Chinese hospitals and the difficulties faced by hospital informatization construction. To discuss the application of hospital informatization measures during the COVID-19 pandemic. To summarize the practical experience of hospitals using information technology to fight the pandemic. METHODS Performing a cross-sectional on-line questionnaire survey in Chinese hospitals, of which the participants are invited including hospital information staff, hospital administrators, medical staff, etc. Statistical analyzing the collected data by using SPSS version 24. RESULTS A total of 804 valid questionnaires (88.45%) are collected in this study from 30 provinces in mainland China, of which 731 (90.92%) were filled out by hospital information staff. 473 (58.83%) hospitals are tertiary hospitals while the remaining 331 (41.17%) are secondary hospitals. The majority hospitals (82.46%) had a drop in their business volume during the pandemic and a more substantial drop is found in tertiary hospitals. 70.40% (n=566) of hospitals have upgraded or modified their information systems in response to the epidemic. The proportion of tertiary hospitals that upgraded or modified systems is significantly higher than that of secondary hospitals. Internet hospital consultation (70.52%), pre-check and triage (62.56%), telemedicine (60.32%), health QR code (57.71%), and telecommuting (50.87%) are the most used informatization anti-pandemic measures. There are obvious differences in the application of information measures between tertiary hospitals and secondary hospitals. Among these measures, most of them (41.17%) are aiming at serving patients and most of them (62.38%) are universal which continue to be used after pandemic. The informatization measures are mostly used to control the source of infection (48.19%), such as health QR Code, etc. During the pandemic, the main difficulties faced by the hospital information department are “information construction projects are hindered” (58.96%) and “increased difficulty in ensuring network information security” (58.58%). There are significant differences in this issue between tertiary hospitals and secondary hospitals. The shortcomings of hospital informatization that should be made up for are “shorten patient consultation time and optimize consultation process” (72.51%), “Ensure network information security” (72.14%) and “build internet hospital consultations platform” (59.95%). CONCLUSIONS A significant number of innovative medical information technology have been used and played a significant role in all phases of COVID-19 prevention and control in China. Since the COVID-19 brought many challenges and difficulties for informatization work, hospitals need to constantly improve their own information technology skills to respond to public health emergencies that arise at any moment.

The role of information structure in the instantiation of objects: Evidence from Amazonian Spanish

2020 ◽  
Vol 13 (1) ◽  
pp. 219-245
Author(s):  
Rosa Vallejos ◽  
Evelyn Fernández-Lizárraga ◽  
Haley Patterson
Keyword(s):  
Regression Analysis ◽  
Information Structure ◽  
Mixed Model ◽  
Linguistic Variables ◽  
Social Variables ◽  
Null Objects ◽  
The Impact ◽  
Role Of Information ◽  
Activation Status

AbstractThis study analyzes the instantiation of objects in Peruvian Amazonian Spanish (PAS) discourse in two communities with distinct linguistic contexts. We examine the impact of two social variables (gender and place) and nine linguistic variables (transitivity, animacy, definiteness, anaphora function, anaphora expression, cataphora function, cataphora expression, activation, topic persistence) on the speech of eight participants. Our findings indicate that null instantiation in PAS is pervasive, occurring with a range of verb lexemes. While neither gender nor place are significant predictors of null objects, various linguistic variables contribute to the instantiation of objects. The five significant variables as determined by a mixed model regression analysis include the following: animacy, definiteness, anaphora expression, cataphora expression, and activation status. Several findings are consistent with previous research (e. g. human and definite referents disfavor null objects), while other results differ (e. g. PAS propositions disfavor null objects). Activation status and anaphora expression are the most significant predictors of null objects in PAS. In particular, highly accessible referents in discourse and anaphoric null objects favored null objects in subsequent clauses. Thus, the results in the present study demonstrate the pivotal role of information structure in object instantiation, furthering the discussion on syntax-discourse interplay phenomena.

scholarly journals Speeding Up the Write Operation for Multi-Level Cell Phase Change Memory with Programmable Ramp-Down Current Pulses

Micromachines ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 461 ◽  
Author(s):  
Chenchen Xie ◽  
Xi Li ◽  
Houpeng Chen ◽  
Yang Li ◽  
Yuanguang Liu ◽  
...  
Keyword(s):  
Phase Change ◽  
Current Source ◽  
Phase Change Memory ◽  
Operation Time ◽  
Access Time ◽  
Fully Differential ◽  
Current Pulses ◽  
Multi Level ◽  
The Impact ◽  
Change Memory

Multi-level cell (MLC) phase change memory (PCM) can not only effectively multiply the memory capacity while maintaining the cell area, but also has infinite potential in the application of the artificial neural network. The write and verify scheme is usually adopted to reduce the impact of device-to-device variability at the expense of a greater operation time and more power consumption. This paper proposes a novel write operation for multi-level cell phase change memory: Programmable ramp-down current pulses are utilized to program the RESET initialized memory cells to the expected resistance levels. In addition, a fully differential read circuit with an optional reference current source is employed to complete the readout operation. Eventually, a 2-bit/cell phase change memory chip is presented with a more efficient write operation of a single current pulse and a read access time of 65 ns. Some experiments are implemented to demonstrate the resistance distribution and the drift.

The Construction of Engineering Projects Environmental Performance Auditing

2013 ◽  
Vol 834-836 ◽  
pp. 2045-2048
Author(s):  
Xiao Ning Qu
Keyword(s):  
Environmental Performance ◽  
Internal Audit ◽  
Engineering Project ◽  
Whole Process ◽  
Social Audit ◽  
Multi Level ◽  
Performance Auditing ◽  
And Control ◽  
The Impact ◽  
Engineering Projects

The Environmental performance auditing is one professional audit that auditing the environmental performance of engineering project. We construct a multi-level auditing network in the whole process of project. That network can be divided into government audit, social audit and internal audit. And with which we predict, evaluate and control the impact on environmental effectively.

scholarly journals Reading on and between the lines: risk identification in collaborative and adversarial buyer–supplier relationships

2018 ◽  
Vol 23 (4) ◽  
pp. 351-376 ◽  
Author(s):  
Yiyi Fan ◽  
Mark Stevenson
Keyword(s):  
Social Capital ◽  
Supply Chain ◽  
Risk Identification ◽  
Social Capital Theory ◽  
Future Research ◽  
Supplier Relationships ◽  
Content Type ◽  
Signalling Theory ◽  
Multi Level ◽  
The Impact

Purpose This paper aims to investigate how supply chain risks can be identified in both collaborative and adversarial buyer–supplier relationships (BSRs). Design/methodology/approach This research includes a multiple-case study involving ten Chinese manufacturers with two informants per organisation. Data have been interpreted from a multi-level social capital perspective (i.e. from both an individual and organisational level), supplemented by signalling theory. Findings Buyers use different risk identification strategies or apply the same strategy in different ways according to the BSR type. The impact of organisational social capital on risk identification is contingent upon the degree to which individual social capital is deployed in a way that benefits an individual’s own agenda versus that of the organisation. Signalling theory generally complements social capital theory and helps further understand how buyers can identify risks, especially in adversarial BSRs, e.g. by using indirect signals from suppliers or other supply chain actors to “read between the lines” and anticipate risks. Research limitations/implications Data collection is focussed on China and is from the buyer side only. Future research could explore other contexts and include the supplier perspective. Practical implications The types of relationships that are developed by buyers with their supply chain partners at an organisational and an individual level have implications for risk exposure and how risks can be identified. The multi-level analysis highlights how strategies such as employee rotation and retention can be deployed to support risk identification. Originality/value Much of the extant literature on supply chain risk management is focussed on risk mitigation, whereas risk identification is under-represented. A unique case-based insight is provided into risk identification in different types of BSRs by using a multi-level social capital approach complemented by signalling theory.

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