Al-Ḥallāǧ: a View from the Court

2021 ◽  
Vol 16 (1-2) ◽  
pp. 357-367
Author(s):  
Letizia Osti
Keyword(s):  
Specific Work ◽  
Material Functions

Abstract This note examines one cluster of accounts on the trial of al-Ḥallāǧ (d. 309/922) in two near-contemporary and one later historian, looking at how each author uses the material and how such material functions within their specific work.

Job Validation Studies and Physical Agility Testing: Is the Vendor Telling You What They Think You Want or Are You Telling Them What You Need?

2016 ◽  
Vol 21 (6) ◽  
pp. 5-11
Author(s):  
E. Randolph Soo Hoo ◽  
Stephen L. Demeter
Keyword(s):  
Equal Employment Opportunity Commission ◽  
Job Analysis ◽  
Specific Work ◽  
Test Protocol ◽  
Systematic Method ◽  
Technical Standards ◽  
Work Related ◽  
Physical Abilities ◽  
Specific Factors ◽  
Key Terms

Abstract Referring agents may ask independent medical evaluators if the examinee can return to work in either a normal or a restricted capacity; similarly, employers may ask external parties to conduct this type of assessment before a hire or after an injury. Functional capacity evaluations (FCEs) are used to measure agility and strength, but they have limitations and use technical jargon or concepts that can be confusing. This article clarifies key terms and concepts related to FCEs. The basic approach to a job analysis is to collect information about the job using a variety of methods, analyze the data, and summarize the data to determine specific factors required for the job. No single, optimal job analysis or validation method is applicable to every work situation or company, but the Equal Employment Opportunity Commission offers technical standards for each type of validity study. FCEs are a systematic method of measuring an individual's ability to perform various activities, and results are matched to descriptions of specific work-related tasks. Results of physical abilities/agilities tests are reported as “matching” or “not matching” job demands or “pass” or “fail” meeting job criteria. Individuals who fail an employment physical agility test often challenge the results on the basis that the test was poorly conducted, that the test protocol was not reflective of the job, or that levels for successful completion were inappropriate.

Consideration of the temperature factor of atmospheric air when determining standard consumption of fuel and energy resources for train traction

2018 ◽  
Vol 77 (6) ◽  
pp. 375-381
Author(s):  
K. M. Popov
Keyword(s):  
Statistical Processing ◽  
Specific Consumption ◽  
Energy Resources ◽  
Effect Of Temperature ◽  
Influence Coefficient ◽  
Specific Work ◽  
Specific Flow ◽  
Temperature Changes ◽  
Work Area ◽  
Physical Laws

Abstract. Influence of air temperature on the consumption of fuel and energy resources (FER) on train traction is due to a number of physical laws. The extent of this effect is specified in the Rules for Traction Settlement (RTS). At the same time, when rationing FER consumption for train traction, a specialized methodical base is used, which involves a different approach to accounting for the effect of temperature on FER consumption for train traction. At the same time in different documents of this base, the effects of low temperature on the absolute and specific consumption of fuel and energy resources on train traction are taken into account in a different way, which is due to the lack of consensus among specialists on the way this factor is taken into account. Specialists of JSC “VNIIZhT” carried out an analysis of a significant amount of driver’s routes data, results of which showed that the dependence of the specific flow rate on temperature, on the basis of which the corresponding influence coefficient is determined, needs to be periodically updated. In addition, when technically standardizing the consumption of fuel and energy resources (for the locomotive crew work site), the temperature effect coefficients need to be calculated for a specific work area and direction of motion on it, while using the average network coefficient values will lead to errors. When calculating additional flow of fuel and energy from the effect of temperature for electric multiple units (EMU), the equations of regression dependencies should be used, obtained by statistical processing of data on temperature changes and specific consumption of fuel and energy resources for EMU and determined for each series of EMU when working on a particular suburban area.

Agricultural Application of Web of Things Architecture

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii
Keyword(s):  
Internet Of Things ◽  
Agricultural Sector ◽  
Electronic Device ◽  
Specific Work ◽  
Science And Engineering ◽  
Unique Identifier ◽  
Agricultural Application ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Type Pressure

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.

scholarly journals Pain in Multiple Sites and Clusters of Cause-Specific Work Disability Development among Midlife Municipal Employees

2021 ◽  
Vol 18 (7) ◽  
pp. 3375
Author(s):  
Aapo Hiilamo ◽  
Anna Huttu ◽  
Simon Øverland ◽  
Olli Pietiläinen ◽  
Ossi Rahkonen ◽  
...  
Keyword(s):  
Work Disability ◽  
Multinomial Logistic Regression ◽  
Health Behaviours ◽  
Health Study ◽  
Specific Work ◽  
Prevention Measures ◽  
Occupational Class ◽  
Work Disability Prevention ◽  
Municipal Employees ◽  
Adjusted Model

This study investigates to what extent pain in multiple sites and common risk factors related to work environment, occupational class and health behaviours are associated with cause-specific work disability (WD) development clusters. The study population was derived from the Finnish Helsinki Health Study (n = 2878). Sequence analysis created clusters of similar subsequent cause-specific WD development in an eight-year follow-up period. Cross-tabulations and multinomial logistic regression were used to analyze the extent to which baseline factors, including pain in multiple sites, were associated with the subsequent WD clusters. A solution with five distinct WD clusters was chosen: absence of any WD (40%), low and temporary WD due to various causes (46%), WD due to mental disorders (3%), WD due to musculoskeletal (8%) and WD due to other causes (4%). Half of the employees in the musculoskeletal WD cluster had pain in multiple locations. In the adjusted model the number of pain sites, low occupational class and physical working conditions were linked to the musculoskeletal WD. The identified characteristics of the different WD clusters may help target tailored work disability prevention measures for those at risk.

scholarly journals MoRoNet a network to strengthen the quality of measles and rubella surveillance in Italy

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Magurano ◽  
M Baggieri ◽  
P Bucci ◽  
E D'Ugo ◽  
M Sabbatucci ◽  
...  
Keyword(s):  
Disease Surveillance ◽  
Specific Work ◽  
Vaccine Preventable Disease ◽  
Work Plan ◽  
Preventable Disease ◽  
National Reference ◽  
Disease Elimination ◽  
National Networks ◽  
Country Specific

Abstract Background Measles is a vaccine-preventable infectious disease and it remains one of the leading causes of infant mortality globally. The World Health Organization (WHO) has adopted the goal of eliminating measles and rubella. Detection and control of communicable diseases would not be possible without accurate laboratory results regarding when and where a particular disease circulates. Methods WHO/Europe therefore works with all Member States to steadily improve the quality of the laboratory data in order to determine the Region's progress towards measles and rubella elimination. For this purpose coordinates the European Measles and Rubella Laboratory Network (MR LabNet). National labs in this network undergoes regular external quality assessment through an annual accreditation programme. Results In Italy, a Sub-national Reference Laboratories Network for measles and rubella (MoRoNET) has been developed since March 2017 and currently includes 15 laboratories. MoRoNet was developed following the indications of the MR LabNet. It is accreditate, coordinated and supervised by the National Reference Laboratory. Conclusions Strengthening the role of national laboratories in overseeing the performance of subnational laboratories has become a critical need in order to properly monitor the Region's measles and rubella elimination efforts. MoRoNet permits to Italy to develop a country-specific work plan for establishing national networks and oversight mechanism, including preliminary monitoring and evaluation indicators compliant with MR LabNet standards. This is very significant not only to optimize the participation in national and regional processes to verify disease elimination, but also to strengthen the quality of vaccine-preventable disease surveillance. MoRoNet Group: A Amendola; F Baldanti; MR Capobianchi; M Chironna; MG Cusi; P D'Agaro; P Lanzafame; T Lazzarotto; K Marinelli; A Orsi; E Pagani; G Palù; F Pittaluga, A Sacchi; F Tramuto. Key messages MoRoNet has permitted to Italy to develop a country-specific work plan for establishing national networks and oversight mechanism, compliant with WHO MR LabNet standards. MoRoNet network has permitted to optimize the participation in processes to verify disease elimination, but also to strengthen the quality of vaccine-preventable disease surveillance.

scholarly journals An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 14
Author(s):  
James Dzisi Gadze ◽  
Akua Acheampomaa Bamfo-Asante ◽  
Justice Owusu Agyemang ◽  
Henry Nunoo-Mensah ◽  
Kwasi Adu-Boahen Opare
Keyword(s):  
Deep Learning ◽  
Network Architecture ◽  
Learning Algorithm ◽  
Single Point ◽  
Denial Of Service ◽  
Specific Work ◽  
Learning Models ◽  
Ddos Attack ◽  
Deep Learning Algorithm ◽  
Proposed Model

Software-Defined Networking (SDN) is a new paradigm that revolutionizes the idea of a software-driven network through the separation of control and data planes. It addresses the problems of traditional network architecture. Nevertheless, this brilliant architecture is exposed to several security threats, e.g., the distributed denial of service (DDoS) attack, which is hard to contain in such software-based networks. The concept of a centralized controller in SDN makes it a single point of attack as well as a single point of failure. In this paper, deep learning-based models, long-short term memory (LSTM) and convolutional neural network (CNN), are investigated. It illustrates their possibility and efficiency in being used in detecting and mitigating DDoS attack. The paper focuses on TCP, UDP, and ICMP flood attacks that target the controller. The performance of the models was evaluated based on the accuracy, recall, and true negative rate. We compared the performance of the deep learning models with classical machine learning models. We further provide details on the time taken to detect and mitigate the attack. Our results show that RNN LSTM is a viable deep learning algorithm that can be applied in the detection and mitigation of DDoS in the SDN controller. Our proposed model produced an accuracy of 89.63%, which outperformed linear-based models such as SVM (86.85%) and Naive Bayes (82.61%). Although KNN, which is a linear-based model, outperformed our proposed model (achieving an accuracy of 99.4%), our proposed model provides a good trade-off between precision and recall, which makes it suitable for DDoS classification. In addition, it was realized that the split ratio of the training and testing datasets can give different results in the performance of a deep learning algorithm used in a specific work. The model achieved the best performance when a split of 70/30 was used in comparison to 80/20 and 60/40 split ratios.

Discursive stickiness: Affective institutional texts and activist resistance

2021 ◽  
pp. 2046147X2110083
Author(s):  
Erica Ciszek ◽  
Richard Mocarsky ◽  
Sarah Price ◽  
Elaine Almeida
Keyword(s):  
Public Relations ◽  
Material Functions ◽  
History Of ◽  
Gender Transgression ◽  
Historical Discourses ◽  
Institutional Texts ◽  
Public Relations Theory

Pushing the bounds of public relations theory and research, we explore how institutional texts have produced and reified stigmas around gender transgression and how these texts are bound up in moments of activism and resistance. We considered how different discursive and material functions get “stuck” together by way of texts and how this sticking depends on a history of association and institutionalization. Activism presents opportunities to challenge institutional and structural stickiness, and we argue that public relations can challenge the affective assemblages that comprise and perpetuate these systems, unsettling the historical discourses that have governed institutions by establishing new communicative possibilities.

scholarly journals Relationship between generic and occupation-specific job demands and resources, negative work−home interference and burnout among GPs

2021 ◽  
pp. 1-29
Author(s):  
N.C. Verhoef ◽  
M. De Ruiter ◽  
R.J. Blomme ◽  
E.C. Curfs
Keyword(s):  
Emotional Exhaustion ◽  
Ecological Validity ◽  
Job Demands ◽  
Job Design ◽  
Specific Work ◽  
Cross Sectional ◽  
Important Extension ◽  
Work Family ◽  
The Relationship ◽  
Job Demands And Resources

Abstract Scholars often examine the effect of generic job demands and resources on burnout, yet to increase ecological validity, it is important to examine the effects of occupation-specific characteristics. An extended version of the job demands-resources model with work−home interference as a mediator is examined among a cross-sectional sample of 178 general practitioners (GPs). Interviews with GPs were used to develop questions on occupation-specific work characteristics. Hypotheses were tested in MEDIATE. Both generic and occupation-specific job demands positively affected emotional exhaustion, while only occupation-specific job demands affected depersonalization. Only strain-based work−family interference mediated the relationship between generic and occupation-specific job demands, emotional exhaustion and depersonalization. This study offers an important extension of the job demands-resources model by including occupation-specific job characteristics. This broader perspective can aid in more targeted job design to reduce burnout among GPs.

scholarly journals Fragmented fields: Professionalisms and work settings in Italian management consultancy

2019 ◽  
Author(s):  
Lara Maestripieri
Keyword(s):  
Professional Service ◽  
Specific Work ◽  
Service Firms ◽  
Structured Interviews ◽  
Professional Service Firms ◽  
Work Settings ◽  
Management Consultants ◽  
Self Employment ◽  
Management Consultancy ◽  
Professional Service Firm

Abstract Management consultancy has long been a contested terrain in the sociology of the professions. Although the professionalism of management consultants has always been emphasized by practitioners themselves, the lack of a strong community of peers has been an impediment to their professionalization. In this article, I argue that professionalism is not the outcome of a process of regulation and institutionalization but that it has to be conceived a discourse comprising norms, worldviews, and values that define what is appropriate for an individual to be considered a competent and recognized member of this community. Given the diversity characterizing the field, there are multiple discourses surrounding professionalism of management consultants, and these discourses are shaped by work settings. Work settings are a combination of the type of organization professional partnership or professional service firm and the employment status (employee or self-employed). Drawing on the empirical evidence from various work settings (professional service firms, professional partnership, and self-employment), I investigate four clusters of practitioners identified in 55 biographical and semi-structured interviews conducted with management consultants in Italy. Four types of professionalism emerge from the clusters. Organizing professionalism is the sole professionalism that appears in all work settings. Other discourses (corporate, commercialized, and hybrid professionalism) are context-dependent and more likely to be found in specific work settings.

OMERACT Filter Evidence Supporting the Measurement of At-work Productivity Loss as an Outcome Measure in Rheumatology Research

2015 ◽  
Vol 43 (1) ◽  
pp. 214-222 ◽  
Author(s):  
Dorcas E. Beaton ◽  
Sarah Dyer ◽  
Annelies Boonen ◽  
Suzanne M.M. Verstappen ◽  
Reuben Escorpizo ◽  
...  
Keyword(s):  
Outcome Measurement ◽  
Contextual Factors ◽  
Productivity Loss ◽  
Work Productivity ◽  
Contextual Factor ◽  
Nominal Group ◽  
Future Research ◽  
Specific Work ◽  
Worker Productivity ◽  
Activity Impairment

Objective.Indicators of work role functioning (being at work, and being productive while at work) are important outcomes for persons with arthritis. As the worker productivity working group at OMERACT (Outcome Measures in Rheumatology), we sought to provide an evidence base for consensus on standardized instruments to measure worker productivity [both absenteeism and at-work productivity (presenteeism) as well as critical contextual factors].Methods.Literature reviews and primary studies were done and reported to the OMERACT 12 (2014) meeting to build the OMERACT Filter 2.0 evidence for worker productivity outcome measurement instruments. Contextual factor domains that could have an effect on scores on worker productivity instruments were identified by nominal group techniques, and strength of influence was further assessed by literature review.Results.At OMERACT 9 (2008), we identified 6 candidate measures of absenteeism, which received 94% endorsement at the plenary vote. At OMERACT 11 (2012) we received over the required minimum vote of 70% for endorsement of 2 at-work productivity loss measures. During OMERACT 12 (2014), out of 4 measures of at-work productivity loss, 3 (1 global; 2 multiitem) received support as having passed the OMERACT Filter with over 70% of the plenary vote. In addition, 3 contextual factor domains received a 95% vote to explore their validity as core contextual factors: nature of work, work accommodation, and workplace support.Conclusion.Our current recommendations for at-work productivity loss measures are: WALS (Workplace Activity Limitations Scale), WLQ PDmod (Work Limitations Questionnaire with modified physical demands scale), WAI (Work Ability Index), WPS (Arthritis-specific Work Productivity Survey), and WPAI (Work Productivity and Activity Impairment Questionnaire). Our future research focus will shift to confirming core contextual factors to consider in the measurement of worker productivity.

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