Applicability of Six Sigma in Human Resource Management

The role of HR has become like that of a firefighter, remembered only in emergencies. Their presence is felt only in their absence. HR is seen as a reactive staff function and a cost centre. The message is clear. Despite its best effort to keep organization together with uniform policy, norms, and values, HR is compelled to prove its financial worth to the organization. HR is under constant pressure for showing their results in quantifiable and financially measurable terms. Introducing Six Sigma in processes of HRM functions seems to be a solution to this problem. However, in some of “Total Six Sigma Organizations,” the human resources department has been practically untouched by Six Sigma. The main reason being the difficulty in quantifying and measuring the financial returns of HR processes. But, some others feel that this is as easy as identifying the gaps and using the right formula. The real problem therefore lies in the perception of an individual HR professional. It takes an HR manager to think statistically and analyze how a process can be quantified.

Coulomb branch global symmetry and quiver addition

To date, the best effort made to simply determine the Coulomb branch global symmetry of a theory from a 3d$$ \mathcal{N} $$ N = 4 quiver is by applying an algorithm based on its balanced gauge nodes. This often gives the full global symmetry, but there have been many cases seen where it instead gives only a subgroup. This paper presents a method for constructing several families of 3d$$ \mathcal{N} $$ N = 4 unitary quivers where the true global symmetry is enhanced from that predicted by the balance algorithm, motivated by the study of Coulomb branch Hasse diagrams. This provides a rich list of examples on which to test improved algorithms for unfailingly identifying the Coulomb branch global symmetry from a quiver.

Penyuluhan Tentang Tanda Bahaya Kehamilan di Puskesmas Jumpandang Baru Makassar

ABSTRAK Pada umumnya 80-90 % kehamilan akan berlangsung normal dan hanya 10-12 % kehamilan yang disertai dengan penyulit atau berkembang menjadi kehamilan patologis. Kehamilan patologis tidak terjadi secara mendadak karena kehamilan dan efeknya terhadap organ tubuh berlangsung secara bertahap dan berangsur-angsur. Deteksi dini gejala dan tanda bahaya selama kehamilan merupakan upaya terbaik untuk mencegah terjadinya gangguan yang serius terhadap kehamilan ataupun keselamatan ibu hamil. Tujuan setelah penyuluhan ini, diharapkan dapat meningkatkan pengetahuan dan kesehatan masyarakat khususnya ibu hamil tentang Tanda Bahaya Kehamilan agar dapat dideteksi sesegera mungkin guna mencegah kenaikan AKI dan AKB di Puskesmas Jumpandang baru. Adapun kegiatan yang dilakukan berupa penyuluhan dalam bentuk penyampaian materi dan lefleat. Terdapat peningkatan pengetahuan dan kemampuan tentang tanda bahaya kehamilan pada masyarakat khususnya ibu hamil di Puskesmas Jumpandang Baru Makassar. Kata kunci: Tanda bahaya kehamilan, Kehamilan ABSTRACT In general, 80-90% of pregnancies will proceed normally and only 10-12% of pregnancies are accompanied by complications or develop into pathological pregnancies. Pathological pregnancy does not occur suddenly because pregnancy and its effect on the organs of the body are gradual and gradual. Early detection of symptoms and danger signs during pregnancy is the best effort to prevent serious interference with pregnancy or the safety of pregnant women. The aim after this counseling is that it is expected to increase public health and knowledge, especially for pregnant women, about Pregnancy Danger Signs so that they can be detected as soon as possible in order to prevent an increase in MMR and IMR at the new Jumpandang Baru Makassar Health Center. The activities carried out are in the form of counseling in the form of delivery of material and leaflet. There is an increase in knowledge and abilities about the danger signs of pregnancy in the community, especially pregnant women at the Jumpandang Baru Makassar Health Center. Keywords: Pregnancy Danger Sign, pregnant

Social implementation of a remote surgery system in Japan: a field experiment using a newly developed surgical robot via a commercial network

Purpose In recent years, the expectations for telesurgery have grown with the development of robot-assisted surgical technology and advances in communication technology. To verify the feasibility of the social implementation of telesurgery, we evaluated the communication integrity, availability, and communication delay of robotic surgery by remote control under different communication conditions of commercial lines. Methods A commercial line was used to connect hospitals 150 km apart. We had prepared guaranteed-type lines (1Gbps, 10Mbps, 5Mbps) and best effort-type lines. Two types of robotic teleoperations were performed, and we evaluated the round-trip time (RTT) of communication, packet loss, and glass-to-glass time. Results The communication delay was 4 ms for the guaranteed-type line and 10 ms for the best effort-type line. Packet loss occurred on the 5 Mbps guaranteed-type line. The mean glass-to-glass time was 92 ms for the guaranteed-type line and 95 ms for the best effort-type line. There was no significant difference in the number of errors in the task according to the type of line or the bandwidth speed. Conclusions The social implementation of telesurgery using the currently available commercial communication network is feasible.

Sabotage Detection Using DL Models on EEG Data From a Cognitive-Motor Integration Task

Objective clinical tools, including cognitive-motor integration (CMI) tasks, have the potential to improve concussion rehabilitation by helping to determine whether or not a concussion has occurred. In order to be useful, however, an individual must put forth their best effort. In this study, we have proposed a novel method to detect the difference in cortical activity between best effort (no-sabotage) and willful under-performance (sabotage) using a deep learning (DL) approach on the electroencephalogram (EEG) signals. The EEG signals from a wearable four-channel headband were acquired during a CMI task. Each participant completed sabotage and no-sabotage conditions in random order. A multi-channel convolutional neural network with long short term memory (CNN-LSTM) model with self-attention has been used to perform the time-series classification into sabotage and no-sabotage, by transforming the time-series into two-dimensional (2D) image-based scalogram representations. This approach allows the inspection of frequency-based, and temporal features of EEG, and the use of a multi-channel model facilitates in capturing correlation and causality between different EEG channels. By treating the 2D scalogram as an image, we show that the trained CNN-LSTM classifier based on automated visual analysis can achieve high levels of discrimination and an overall accuracy of 98.71% in case of intra-subject classification, as well as low false-positive rates. The average intra-subject accuracy obtained was 92.8%, and the average inter-subject accuracy was 86.15%. These results indicate that our proposed model performed well on the data of all subjects. We also compare the scalogram-based results with the results that we obtained by using raw time-series, showing that scalogram-based gave better performance. Our method can be applied in clinical applications such as baseline testing, assessing the current state of injury and recovery tracking and industrial applications like monitoring performance deterioration in workplaces.

Synthesizing Best-effort Strategies under Multiple Environment Specifications

We formally introduce and solve the synthesis problem for LTL goals in the case of multiple, even contradicting, assumptions about the environment. Our solution concept is based on ``best-effort strategies'' which are agent plans that, for each of the environment specifications individually, achieve the agent goal against a maximal set of environments satisfying that specification. By means of a novel automata theoretic characterization we demonstrate that this best-effort synthesis for multiple environments is 2ExpTime-complete, i.e., no harder than plain LTL synthesis. We study an important case in which the environment specifications are increasingly indeterminate, and show that as in the case of a single environment, best-effort strategies always exist for this setting. Moreover, we show that in this setting the set of solutions are exactly the strategies formed as follows: amongst the best-effort agent strategies for ɸ under the environment specification E1, find those that do a best-effort for ɸ under (the more indeterminate) environment specification E2, and amongst those find those that do a best-effort for ɸ under the environment specification E3, etc.