scholarly journals A semi-automatic dispenser for solid and liquid food in aquatic facilities

2019 ◽  
Author(s):  
Raphaël Candelier ◽  
Alex Bois ◽  
Stéphane Tronche ◽  
Jéremy Mahieu ◽  
Abdelkrim Mannioui
Keyword(s):  
Standard Deviation ◽  
Musculoskeletal Disorders ◽  
Real World ◽  
Automatic System ◽  
Low Cost ◽  
Artemia Salina ◽  
Solid Food ◽  
Liquid Food ◽  
Brine Shrimps ◽  
Main Module

AbstractWe present a novel, low-footprint and low-cost semi-automatic system for delivering solid and liquid food to zebrafish, and more generally to aquatic animals raised in racks of tanks. It is composed of a portable main module equipped with a contactless reader that adjusts the quantity to deliver for each tank, and either a solid food module or a liquid food module. Solid food comprises virtually any kind of dry powder or grains below two millimeters in diameter, and, for liquid-mediated food, brine shrimps (Artemia salina) and rotifers (Rotifera) have been successfully tested. Real-world testing, feedback and validation have been performed in a zebrafish facility for several months. In comparison with manual feeding this system mitigates the appearance of musculoskeletal disorders among regularly-feeding staff, and let operators observe the animals’ behavior instead of being focused on quantities to deliver. We also tested the accuracy of both humans and our dispenser and found that the semi-automatic system is much more reliable, with respectively 7-fold and 84-fold drops in standard deviation for solid and liquid food.

scholarly journals All-case Japanese post-marketing surveillance of the real-world safety and efficacy of rituximab treatment in patients with refractory nephrotic syndrome

2021 ◽  
Author(s):  
Mana Kobayashi ◽  
Yutaro Kageyama ◽  
Takashi Ando ◽  
Junko Sakamoto ◽  
Shohji Kimura
Keyword(s):  
Nephrotic Syndrome ◽  
Standard Deviation ◽  
Real World ◽  
Pediatric Patients ◽  
Safety And Efficacy ◽  
The Real ◽  
Post Marketing Surveillance ◽  
Post Marketing ◽  
Refractory Nephrotic Syndrome ◽  
Observation Period

Abstract Background Rituximab is conditionally approved in Japan for use in patients with refractory nephrotic syndrome. To meet the conditions of approval, an all-case post-marketing surveillance study was conducted to confirm the real-world safety and efficacy of rituximab in patients of all ages with refractory nephrotic syndrome. Methods All patients scheduled to receive rituximab treatment for refractory nephrotic syndrome were eligible to register (registration: August 29, 2014 through April 15, 2016); the planned observation period was 2 years from the initiation of rituximab treatment (intravenous infusion, 375 mg/m2 once weekly for four doses). The study was conducted at 227 hospitals throughout Japan. Adverse drug reactions (ADRs) were collected for safety outcomes. The efficacy outcomes were relapse-free period and the degree of growth in pediatric (< 15 years) patients. Results In total, 997 (447 pediatric) patients were registered; 981 (445) were included in the safety analysis set; 852 (402) completed the 2-year observation period; and 810 (429) were included in the efficacy analysis set. Refractory nephrotic syndrome had developed in childhood for 85.0% of patients, and 54.6% were aged ≥15 years. ADRs were observed in 527 (53.7%) patients, treatment-related infection/infestation in 235 (24.0%) patients, and infusion reactions in 313 (31.9%) patients. The relapse-free period was 580 days (95% confidence interval, 511–664). There was a significant change in height standard deviation score (pediatric patients; mean change, 0.093; standard deviation, 0.637; P = 0.009). Conclusion The safety and efficacy of rituximab treatment in patients with refractory nephrotic syndrome were confirmed in the real-world setting. Clinical trial registration UMIN000014997.

Detection and Analysis of Rats’ Bioelectromagnetic Signal

2014 ◽  
Vol 536-537 ◽  
pp. 13-17
Author(s):  
Hong Long Cao ◽  
Fen Ju Qin ◽  
Xue Guan Liu ◽  
He Ming Zhao
Keyword(s):  
Standard Deviation ◽  
Automatic System ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Biological Activities ◽  
Measurement Data ◽  
Measured Data ◽  
The Mean ◽  
Frequency Window ◽  
Window Effects

In this paper, we designed an automatic system and automatic test software, and they can carry out Kunming rats bioelectromagnetic measurement in standard status and anesthesia automatically in anechoic chamber where the electromagnetic field outside is shielded, the reflection wave is absorbed, and the measurement accuracy will be improved. We get a great number of measurement data with frequency-sweep measurement method. The mean and standard deviation of amplitudes vs. frequencies is calculated and analyzed. The results show the measurement method is feasible. We have plotted the means of measured data as multiple sets of Y values in a series of bars with standard deviations bars included and distributed in the frequency axis of X. It is found that the fluctuation of the mean and standard deviation in some frequencies is not evident which may explain frequency window effects, while in other frequencies, such a fluctuation can be obviously observed, which may suggest that bioelectromagnetic signal is influenced by biological activities (standard and anaesthesia status) in these frequency points.

scholarly journals An Optimal and Stable Algorithm for Clustering Numerical Data

Algorithms ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 197
Author(s):  
Ali Seman ◽  
Azizian Mohd Sapawi
Keyword(s):  
Standard Deviation ◽  
Real World ◽  
Clustering Algorithm ◽  
Numerical Data ◽  
Zero Point ◽  
The Other ◽  
Suitable Alternative ◽  
Stable Algorithm ◽  
Real World Applications

In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues arise: the clustering results may be less than optimal and different clustering results may be obtained for every run. In real-world applications, optimal and stable clustering is highly desirable. This report introduces a new clustering algorithm called the zero k-approximate modal haplotype (Zk-AMH) algorithm that uses a simple and novel seeding mechanism known as zero-point multidimensional spaces. The Zk-AMH provides cluster optimality and stability, therefore resolving the aforementioned issues. Notably, the Zk-AMH algorithm yielded identical mean scores to maximum, and minimum scores in 100 runs, producing zero standard deviation to show its stability. Additionally, when the Zk-AMH algorithm was applied to eight datasets, it achieved the highest mean scores for four datasets, produced an approximately equal score for one dataset, and yielded marginally lower scores for the other three datasets. With its optimality and stability, the Zk-AMH algorithm could be a suitable alternative for developing future clustering tools.

Applications of Operations Research in Human Resource Management

2021 ◽  
Vol 9 (9) ◽  
pp. 1611-1614
Author(s):  
Vanya Aggarwal
Keyword(s):  
Human Resource Management ◽  
Human Resource ◽  
Real World ◽  
Operations Research ◽  
Operational Research ◽  
Low Cost ◽  
External World ◽  
Future Plan ◽  
The Future ◽  
Future Path

Abstract: Operational HR encompasses the highly visible, day-to-day tactical operations required to keep a workforce running. This made us look for strategic approaches essential for most organisations. Be it defining the future path, determining the future plan, mission, vision, planning, objectives and goals of a particular organization. In a nutshell, we wanted to bring out the intricate relationship between HR and operational research especially considering the current dynamics of the external world. The unprecedented changes in HRM made us dig deeper on the importance of the role and applications of operations research to cope with these changes. Finally, we believed our research was complete when we presented real-world examples, and it was demonstrated to us that Operations Research approaches may assist firms in making good HR policy decisions at a low cost

scholarly journals Hobbit: Providing Fall Detection and Prevention for the Elderly in the Real World

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Markus Bajones ◽  
David Fischinger ◽  
Astrid Weiss ◽  
Daniel Wolf ◽  
Markus Vincze ◽  
...  
Keyword(s):  
Real World ◽  
Independent Living ◽  
Low Cost ◽  
Fall Detection ◽  
The Elderly ◽  
Field Trials ◽  
Lessons Learned ◽  
Human Robot Interaction ◽  
Service Robot ◽  
Emergency Situations

We present the robot developed within the Hobbit project, a socially assistive service robot aiming at the challenge of enabling prolonged independent living of elderly people in their own homes. We present the second prototype (Hobbit PT2) in terms of hardware and functionality improvements following first user studies. Our main contribution lies within the description of all components developed within the Hobbit project, leading to autonomous operation of 371 days during field trials in Austria, Greece, and Sweden. In these field trials, we studied how 18 elderly users (aged 75 years and older) lived with the autonomously interacting service robot over multiple weeks. To the best of our knowledge, this is the first time a multifunctional, low-cost service robot equipped with a manipulator was studied and evaluated for several weeks under real-world conditions. We show that Hobbit’s adaptive approach towards the user increasingly eased the interaction between the users and Hobbit. We provide lessons learned regarding the need for adaptive behavior coordination, support during emergency situations, and clear communication of robotic actions and their consequences for fellow researchers who are developing an autonomous, low-cost service robot designed to interact with their users in domestic contexts. Our trials show the necessity to move out into actual user homes, as only there can we encounter issues such as misinterpretation of actions during unscripted human-robot interaction.

Detection and monitoring of fire and gas leakage systems in industries

2018 ◽  
Vol 7 (2.8) ◽  
pp. 419
Author(s):  
K Geetha ◽  
P Prabha ◽  
C Preetha Devi ◽  
S Priyadharshini ◽  
S Tamilselvan
Keyword(s):  
Temperature Sensor ◽  
Traditional Method ◽  
Automatic System ◽  
Continuous Monitoring ◽  
Low Cost ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Quality Service ◽  
Fire Monitoring ◽  
Gas Leakage

Now a days, Industries are more equipped with automatic system. Fire monitoring is one of the applications where continuous monitoring of temperature and humidity is essential to detect the fire in the industry. Fire detection is very much necessary to protect both the industry and to conserve environment and livelihood of human. This paper presents an algorithm to detect the fire in the industry based on ZigBee and GPRS wireless sensor network which provides low cost, low maintenance and good quality service when compared with the traditional method. The hardware circuitry of proposed solution is based on microcontroller, temperature sensor along with ZigBee and GPRS modules.

Cloud solutions for GxP laboratories: considerations for data storage

Bioanalysis ◽  
2021 ◽  
Author(s):  
Scott Davis ◽  
Joel Usansky ◽  
Shibani Mitra-Kaushik ◽  
John Kellie ◽  
Kimberly Honrine ◽  
...  
Keyword(s):  
Pharmaceutical Industry ◽  
Best Practices ◽  
Drug Development ◽  
Data Storage ◽  
Real World ◽  
Cloud Storage ◽  
Low Cost ◽  
Cloud Services ◽  
Significant Shift ◽  
On Demand

Challenges for data storage during drug development have become increasingly complex as the pharmaceutical industry expands in an environment that requires on-demand availability of data and resources for users across the globe. While the efficiency and relative low cost of cloud services have become increasingly attractive, hesitancy toward the use of cloud services has decreased and there has been a significant shift toward real-world implementation. Within GxP laboratories, the considerations for cloud storage of data include data integrity and security, as well as access control and usage for users around the globe. In this review, challenges and considerations when using cloud storage options for the storage of laboratory-based GxP data are discussed and best practices are defined.

Research Insights: Can Low-Cost Communication Technologies Bridge Information Gaps between Schools and Parents?

2021 ◽  
Author(s):  
Samuel Berlinski ◽  
Matías Busso ◽  
Taryn Dinkelman ◽  
Claudia Martínez
Keyword(s):  
At Risk ◽  
Standard Deviation ◽  
High Frequency ◽  
Low Cost ◽  
At Risk Students ◽  
Communication Technologies ◽  
Text Messages ◽  
School Absenteeism ◽  
School Behavior ◽  
Percentage Points

We document large gaps between parents knowledge and school reports of students attendance and grades. Sending frequent text messages with information on attendance, grades and school behavior shrinks those gaps. Parents of at-risk students adjust their understanding of their children's performance to the greatest degree. High-frequency text messages had positive impacts on grades and attendance. Math GPA increased 0.08 of a standard deviation; the probability of earning a passing grade in math increased by 2.7 percentage points (relative to a mean of 90 percent). The intervention also reduced school absenteeism by 1 percentage point and increased the share of students who met attendance requirements for grade promotion by 4.5 percentage points.

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