Analisis Strategi Negosiasi Dalam Memasuki Pasar Luar Negeri (Studi Kasus Pada PT. Dan Liris Sukoharjo)

This research is conducted based on the high number of companies that doing business in International scale. The more mature domestic business activities will encourage companies to expand their business activities abroad. Companies that do business across state lines are called International business. Before a company enter the foreign market, the company certainly has made contact with the customer in destination countries. Before the business activites started, negotiation usually done in advance so the parties that involved could generate the best deal. Of course, the negotiation activities will be faced with a different culture from the country of origin. This research used a study case method with a qualitative approach. The results of this research show that PT. Dan Liris used unilateral strategy and joint strategy in negotiating with foreign customers. The negotiators of PT. Dan Liris also through three stages in the process of negotiations, namely the pre-negotiation, face-to-face negotiation and post-negotiations. On the other hand, there are some problems that can impede the course of negotiations between the negotiators of PT. Dan Liris and customers. Although there are some problems in negotiation, based on the results of this research showed that there is a solution to the problems that arise

Multimodal interventions to enhance adherence to secondary preventive medication after stroke: a systematic review and meta-analyses

Summary: Introduction: Nonadherence to secondary preventative medications after stroke is common and is associated with poor outcomes. Numerous strategies exist to promote adherence. We performed a systematic review and meta-analysis to describe the efficacy of strategies to improve adherence to stroke secondary prevention. Methods: We created a sensitive search strategy and searched multiple electronic databases (MEDLINE, EMBASE, CINAHL, PsycINFO, CENTRAL, and Web of Knowledge) for studies of interventions that aimed to enhance adherence to secondary preventative medication after stroke. We assessed quality of included studies using the Cochrane tool for assessing risk of bias. We performed narrative review and performed meta-analysis where data allowed. Results: From 12,237 titles, we included seventeen studies in our review. Eleven studies were considered to have high risk of bias, 3 with unclear risk, and 3 of low risk. Meta-analysis of available data suggested that these interventions improved adherence to individual medication classes (blood pressure-lowering drugs – OR, 2.21; 95% CI (1.63, 2.98), [P < 0.001], lipid-lowering drugs – OR, 2.11; 95% CI (1.00, 4.46), [P = 0.049], and antithrombotic drugs – OR, 2.32; 95% CI (1.18, 4.56, [P = 0.014]) but did not improve adherence to an overall secondary preventative medication regimen (OR, 1.96; 95% CI (0.50, 7.67), [P = 0.332]). Conclusion: Interventions can lead to improvement in adherence to secondary preventative medication after stroke. However, existing data is limited as several interventions, duration of follow-up, and various definitions were used. These findings need to be interpreted with caution

Report of the Indiana University Research Data Management Taskforce

The “data deluge” in the sciences—the ability to create massive streams of digital data—has been discussed at great length in the academic and lay press. The ability with which scientists can now produce data has transformed scientific practice so that creating data is now less of a challenge in many disciplines than making use of, properly analyzing, and properly storing such data. Two aspects of the data deluge are not as widely appreciated. One is that the data deluge is not contained simply to the sciences. Humanities scholars and artists are generating data at prodigious rates as well through massive scanning projects, digitization of still photographs, video, and music, and the creation of new musical and visual art forms that are inherently digital. A second factor that is not well appreciated is that data collected now is potentially valuable forever. The genomic DNA sequences of a particular organism are what they are. They are known precisely. Or, more properly, the sequences of the contigs that are assembled to create the sequence are known precisely, while there may be dispute about the proper assembly. Such data will be of value indefinitely – and for example to the extent that we wonder if environmental changes are changing the population genetics of various organisms, data on the frequency of particular genetic variations in populations will be of value indefinitely. Similarly, video and audio of an American folk musician, a speaker of an endangered language or a ballet performance will be of value indefinitely although argument might well go on regarding the interpretation and annotation of that video and audio. Such images and associated audio can never be recreated, and are thus of use indefinitely

MoMA-LigPath: A web server to simulate protein-ligand unbinding

Protein-ligand interactions taking place far away from the active site, during ligand binding or release, may determine molecular specificity and activity. However, obtaining information about these interactions with experimental or computational methods remains difficult. The computational tool presented in this paper, MoMA-LigPath, is based on a mechanistic representation of the molecular system, considering partial flexibility, and on the application of a robotics-inspired algorithm to explore the conformational space. Such a purely geometric approach, together with the efficiency of the exploration algorithm, enables the simulation of ligand unbinding within very short computing time. Ligand unbinding pathways generated by MoMA-LigPath are a first approximation that can provide very useful information about protein-ligand interactions. When needed, this approximation can be subsequently refined and analyzed using state-of-the-art energy models and molecular modeling methods. MoMA-LigPath is available at http://moma.laas.fr. The web server is free and open to all users, with no login requirement

Application of Artificial Neural Networks in the Drilling Processes: Can Equivalent Circulation Density Be Estimated Prior to Drilling?

As the drilling environment became more challenging nowadays, managing equivalent circulating density (ECD) is a key factor to minimize non-productive time (NPT) due to many drilling obstacles such as stuck pipe, formation fracturing, and lost circulation. The goal of this work was to predict ECD prior to drilling by using artificial neural network (ANN). Once ECD is recognized, the crucial drilling variables impact ECD can be modified to control ECD within the acceptable ranges. Data from over 2000 wells collected worldwide were used in this study to create an ANN to predict ECD prior to drilling. Into training, validation, and testing sets, the data were splitted. 70% of the data utilized for training, the other part used for validation and testing to avoid overfitting and create a generalized network that can perform well on new data. Based on the mean square of error (MSE), a decision was made to have one hidden layer with twelve neurons, this scenario was selected since it gave the lowest MSE among other scenarios. Multiple training functions were tested to train the network, Bayesian regularization (BR) algorithm was chosen from the other algorithms since it had the lowest MSE and the highest R-squared. After optimizing the weights and biases, the results revealed that the created network has the ability to estimate ECD with an overall R-squared of 0.982, which is very high. This result gives an indication that the created network can predict ECD prior to drilling globally within a very small margin of error. Due to the availability of large historical data sets in the petroleum industry, the ANN can be used to make better future decisions to minimize NPT and the cost of drilling

Out of the ashes: Ecological resilience to extreme wildfire, prescribed burns, and indigenous burning in ecosystems

Until Euro-American colonization, Indigenous people used fire to modify eco-cultural systems, developing robust Traditional Ecological Knowledge (TEK). Since 1980, wildfire activity has increased due to fire suppression and climate change. In 2017, in Waterton Lakes National Park, AB, the Kenow wildfire burned 19,303 ha, exhibiting extreme fire behavior. It affected forests and the Eskerine Complex, a native-grass prairie treated with prescribed burns since 2006 to reduce aspen (Populus tremuloides) encroachment linked to fire suppression and bison (Bison bison bison) extirpation. One year post-fire, the Kenow wildfire caused vigorous aspen sprouting, altered stand structure to an early-seral state and changed dominant land cover from grass to mineral soil. It did not change aspen-cover extent or cause non-native grass eruption, but it reduced native-grass diversity and produced more pronounced shifts in ecosystem structure and biodiversity than the prescribed burn. The 2017 Kenow wildfire and prescribed burns differed in phenological timing, scale, and severity. Prescribed burns occurred in late spring, with little fuel available, while the Kenow wildfire occurred in late summer, with abundant fuel—amplifying the difference in severity. As in other climate-limited fire regimes, prescribed burns treatments did not mitigate the severity of the Kenow wildfire. To more effectively reduce the extent of aspen cover, future prescribed burns in this system could be applied in the late season. Incorporating TEK in adaptive co-management can help create ecosystems more resilient to fire and pervasive stressors such as invasive plants, provided one contextualizes current conditions and how they differ from historical conditions

Utilizing a New Eco-Friendly Drilling Mud Additive Generated from Wastes to Minimize the Use of the Conventional Chemical Additives

The cost of the drilling operation is very high. Drilling fluid presents 15 to 30% of the entire expense of the drilling process. Ordinarily, the major drilling fluids additives are viscosity modifiers, filtration control agents, and partial loss treatments. In this experimental work, full-set measurements under fresh and aged conditions, as well as high-temperature and high-pressure (HTHP) API filtration, were conducted to study the impacts of adding 0.5%, 1.5%, 2.5%, and 3.5% of black sunflower seeds’ shell powder (BSSSP) to spud mud. BSSSP of various grain sizes showed their ability to be invested for viscosity modifying, seepage loss controlling, and partial loss remediation. In addition to BSSSP eminent efficiency to be used as a multifunctional additive, the BSSSP is cheap, locally obtainable in commercial quantities, environmentally friendly additive and easy to grind into various desired grain sizes. Besides its outstanding strength to behave under conditions up to 30 h aged time and under 50 °C (122 °F) temperature, the utilization of powdered waste black sunflower shells in the drilling process and other industrial applications can reduce the effects of food waste on the environment and the personnel safety. To sum it up, experimental findings revealed that BSSSP can be used for multiple applications as a novel fibrous and particulate additive. The results elucidated BSSSP suitability in substituting or at least minimizing some of the traditional chemical materials utilized in the petroleum industry such as salt clay, polymers, and lost circulation materials (LCM)