Scales of Observation

One of the particularities of applied anthropology is working on demand, and performing research on demand requires changing fields constantly. This diversity of fields has led to an awareness in applied anthropology that the focal point of observation varies from study to study, and that depending on the particular scope or decoupage, researchers do not see the same thing. This scales-of-observation method has four empirical principles: (a) What one observes at one scale vanishes at another scale. (b) The causes explaining actors’ behavior vary based on the scale of observation; they can stem from situational effects or meaning effects, or suggest statistical correlation. (c) Knowledge acquired at one scale is complementary and cumulative with that of other scales of observation. However, they cannot be fused into a single, global description. Indeed, although reality is continuous, observation between the “macro” and the “micro” is discontinuous. Discontinuity stems from the importance of the situational effects in anthropology and organizational sociology. These two approaches are most often centered on the interactions among actors operating under situational constraints. All generalizations are thus limited to scales pertaining to the same type of causality. (d) Part of the conflict among schools, disciplines, or professions regarding explanations for human behavior and changes within a community, an organization, a society, or an individual can most often be explained by different choices in the scale of observation. The scales-of-observation method is a mobile tool of knowledge founded on the anthropological practice of the cultural detour, in this case scientific cultures. It is an inductive epistemological theory on the variability of the explanatory causes of human behavior and falls under methodological relativism. Consequently, the scales-of-observation method is also a tool of negotiation among actors who are involved collectively in a project of social change, but with contradictory interests or objectives.

08. New Education Policy 2020 and the Curriculum of BS Urdu

BS is the main phase of Pakistan’s education system. Major portion of the higher education-seeking students reach this level of education. That is why, it carries much importance in the system. Its curriculum is going under continuous observation and consequent changes. Curriculum of BS Urdu also underwent three times changes since 2009. The curriculum was first developed by HEC in 2009. It was modified and updated in 2013. “The Undergraduate Education Policy 2020” is the latest document in this connection. The policy was issued to update the curriculum and conform it to the modern world needs. Practical and Job-oriented approach is the main focus of this policy which reflects in the nine weeks compulsory Standard Internship and entrepreneurship. In this article, the major changes and modifications suggested through this policy have been analyzed and the subsequent conclusion and recommendations have been presented.

Interpretation Challenges and Solutions for Real-Time Asphaltene Paramagnetic Sensing at the Wellhead

Asphaltene deposition presents a significant flow assurance to oil production in many parts of the Middle East and beyond. Until recently, there had been no intervention-free approach to monitor deposition in the asphaltene affected wells. This prompted ADNOC to sponsor MicroSilicon to develop of an intervention less real-time sensor device to monitor asphaltene deposition. This new state-of-the-art device is currently installed and automatically collecting data at the wellhead and nearby facilities of an ADNOC operated field. Historic ways of measuring asphaltene in oil relied upon laboratory processes that extracted the asphaltene using a combination of solvents and gravimetric techniques. Paramagnetic techniques offer a potentially simpler alternative because it is known that the spins per gram of an oil is a constant property of that oil, at least when the oil is at constant temperature and pressure. Taking the device to the field means that any interpretation needs to be made independent of these properties. Additionally, the fluid entering the sensor is multiphase and subject to varying temperature and pressure which raises challenges for the conversion of raw spectroscopic data into asphaltene quantity and particle size. These challenges were addressed with a combination of hardware, software and cloud-based machine learning technologies. Oil from over two dozen wells has been sampled in real-time and confirmed that the asphaltene percentage does not just vary from well to well but is also a dynamic aspect of production, with some wells having relatively constant levels and others showing consistent variation. One other well was placed on continuous observation and showed a decrease in asphaltene level following a choke change at the surface. Diagnostic data enhanced by machine learning complements the asphaltene measurement and provides a much more complete picture of the flow assurance challenge than had been previously been available.

A new approach to processing and imaging multibeam water column echosounder data: application to a complex methane seep on the southern Cascadia margin

Acoustic echosounding systems are increasingly used to image water-column backscatter in addition to mapping the seafloor. We have imaged an acoustic flare generated by methane bubbles emanating from a vent sourced at 1840 m water depth offshore northern California using a shipboard Kongsberg EM122. Data include five transits over the flare and approximately 11 h of continuous observation when the ship held station. Shipboard observations showed a strong flare splitting into multiple smaller, intermittent flares at a water depth of 800–1200 m and pronounced temporal variability. We introduce a new approach to processing the data in which we correct the backscatter data for ship motion and bin the data into voxels with dimensions of 20 m in X and Y and 40 m in Z for a transit over the flare and into vertical slices with dimensions of 15 m in X and Z and 4 min in time when the ship was stationary. The processed data indicate that the signal is dominated by bubbles emanating from a source region with a diameter of approximately 40 m located on the southern edge of what is likely a ring of sources with a diameter of approximately 600 m. When the ship was stationary, we were able to track an individual pulse rising at a rate of 8–10 m/min. Our results illustrate the limitations of monitoring temporal variation in gas flux using multibeam echosounders because of the trade-off between imaging the entire flare by averaging over tens of minutes to hours and observing a slice through the flare to capture short-lived pulses of gas expulsion. Nevertheless, because echosounders are widely available, they can continue to provide valuable data on the spatial and temporal distribution of gas emissions on continental margins that can be used to frame hypotheses and plan more comprehensive follow-up experiments.

Analysis and correction of meteorological disturbance observed by ground radars in complex environment

Ground radar interferometry technology, as a new tool for active remote sensing, has been widely used in the detection of a variety of targets, including landslides, bridges, mines, and dams. This technique usually employs a continuous observation mode with no space baseline. The detection accuracy is mainly affected by meteorological disturbances and noise in the observation environment. In a complex observation environment, meteorological disturbances can lead to phase errors of 10 mm or more, and the effects are different in the range and azimuth directions; this can seriously affect the accuracy of the measurement. In this paper, we analyze the spatial distribution of the phase of meteorological disturbances based on radar monitoring experiments in a complex environment, and propose a correction method that reduces the atmospheric disturbance phase to less than 0.6 mm and effectively improves radar observation accuracy.

Dual-Satellite Alternate Switching Ranging/INS Integrated Navigation Algorithm for Broadband LEO Constellation Independent of Altimeter and Continuous Observation

In challenging environments such as forests, valleys and higher latitude areas, there are usually fewer than four visible satellites. For cases with only two visible satellites, we propose a dual-satellite alternate switching ranging integrated navigation algorithm based on the broadband low earth orbit (LEO) constellation, which integrates communication and navigation (ICN) technology. It is different from the traditional dual-satellite integrated navigation algorithm: the difference is that it can complete precise real-time navigation and positioning without an altimeter and continuous observation. First, we give the principle of our algorithm. Second, with the help of an unscented Kalman filter (UKF), we give the observation equation and state equation of our algorithm, and establish the mathematical model of multipath/non-line of sight (NLOS) and noise interference. Finally, based on the SpaceX constellation, for various scenarios, we analyze the performance of our algorithm through simulation. The results show that: our algorithm can effectively suppress the divergence of the inertial navigation system (INS), in the face of different multipath/NLOS interference and various noise environments it still keeps good robustness, and also has great advantages in various indicators compared with the traditional dual-satellite positioning algorithms and some existing 3-satellite advanced positioning algorithms. These results show that our algorithm can meet the real-time location service requirements in harsh and challenging environments, and provides a new navigation and positioning method when there are only two visible satellites.

Are professional pharmacy services being offered for free in pharmacies? A feasibility study exploring the use of a time motion study in New Zealand

Background: Pharmacists report to be providing patient-focused clinical services for which they receive no remuneration. Limited literature exists about unfunded services leading to difficulties in ascertaining an appropriate study design for such research. Objective: This study aims to assess the appropriateness of a proposed study design before launching a nationwide study to investigate the provision of unfunded patient care services. Methods: A multi-methods approach was utilised consisting of (1) continuous time motion study in community pharmacies (2) semi structured patient interviews (3) patient follow up (4) semi structured interviews with pharmacy owners/managers. All observations of unfunded patient care services were recorded, numerically coded and descriptively analysed. Semi structured interviews were audio recorded and transcribed verbatim. A semantic thematic analysis was carried out. Appropriateness of study design was dictated by the ability to characterise services and obtain patient perceptions. Results: Ten pharmacies took part in the feasibility study, across the city of Dunedin, New Zealand, representing a range of different practice settings and demographics. Ten patients were interviewed and six responded to follow up. Both pharmacy and patient recruitment proved challenging due to concerns around disruption to workflow and patient privacy. A continuous observation time motion study was found to be appropriate as it minimises disruption to workflow with no additional work required from the pharmacy teams. Conclusions: A continuous observation time motion study proved to be an appropriate method to investigate the provision of unfunded services on a national scale. The findings of the study suggest design changes such as length of observation time, increasing patient recruitment and additional patient questions to enhance the nationwide study.