Availability Of Various Services Research Articles

Pengembangan Ekowisata Bahari Pantai Karang Jahe Melalui Pembangunan Pariwisata Berkelanjutan

The development of beach tourism has become an alternative for marine tourism. This research seeks to reveal this, as an added value based on the ecosystem of the coastal area of Karang Jahe Beach which has unique characteristics, biodiversity, human resources that have high productivity, the attractiveness of beautiful landscapes, and the availability of various services which are one of the main drivers of activities. Intensive development is being carried out at this tourist attraction. This research is descriptive qualitative with primary data sources coming from interviews with visitors and tourism managers. Apart from that, it is supported by observation results and documentation to crosscheck interview data. Secondary data sources come from scientific journals which can be accessed online. The data was analyzed using the 4A concept (Attractions, Accessibility, Amenities and Activities) to be used as an indicator that the object is worthy of being called sustainable tourism. The research results found evidence that supports the existence of the Karang Jahe Beach tourist attraction as part of sustainable tourism by fulfilling the supporting elements of attractions, accessibility, amenities and activities at the tourist attraction. The management of the Karang Jahe Beach tourist attraction deserves to be designated as marine ecotourism which is guided by the concept of sustainable tourism development. This can be seen from the community's participation in managing these tourist attractions while still paying attention to the natural ecosystem. Management is by developing tourism support facilities, natural beauty of beaches, and empowering management resources. In this way, tourism management has an economic impact while maintaining the natural ecosystem around the coast.

Combining value function approximation and multiple scenario approach for the effective management of ride-hailing services

The availability of various services for individual mobility is increasing, especially in urban areas. Dynamic ride-hailing services address these aspects and are gaining market share with providers such as MOIA, UberX Share, Sprinti or BerlKönig. To be able to offer competitive pricing for such a service and at the same time provide a high service quality (e.g. fast response times), effective capacity management is needed. In order to reach this goal, two challenges have to be met by the service provider. On the one hand, a proper demand control has to be installed, which optimizes the responses to transportation requests from customers. On the other hand, suitable fleet control needs to be set in place to optimize the route of the fleet so that the demand can be met. Papers in the literature do solve both but typically focus on one of these two challenges. As an example, value function approximation (VFA) can be used to learn a service offering decision while anticipating future incoming requests. A typical example of a routing-focused method is the multiple scenario approach (MSA) creating a routing which anticipates future requests using a sampling method. In this paper, we combine VFA and MSA to address the two challenges in an effective way. The resulting method is called anticipatory-routing-and-service-offering (ARS). We find that the combined method significantly outperforms the individual components, improving not only the total reward but also the accepted requests. It is found that this performance is particularly high with a heavy workload and thus resources are relatively scarce. We analyse how and under which conditions the components together or individually are particularly important.

A Research on Customer Service Quality and Customer Satisfaction of Organized Apparel Sector: a Case of Pantaloons, Kolkata

Abstract: Customer loyalty and C.S(Customer Satisfaction) have a proven relationship with supply chain, procurement. Availability of various services at store adds incentives to the customers of how they feel about a particular retail outlet. Product mix and range with intensive market survey and promotional stunts are necessary to tap customers’ reluctance towards buying. Physical appearance and employee behavior are also directly incident to how customers perceive how good or effective a retail outlet is. Pantaloons, an Aditya Birla Group flagship entity have marked its prominence in the recent years; thanks to the brilliance in promotions, store operations, etc. It is needless to mention that a certain class of the consumer Diaspora has found their buying sentiments and product match overtly at Pantaloons. An industry which has been on and off chartered by big players like Future Group is hard to penetrate and create market space. Keywords: C.S, Products, Service, Customer Loyalty

CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud Services

The cloud market is characterized by fierce rivalry among cloud service providers. The availability of various services with identical functionalities on the market complicates the selection decision for service requesters. Although objective trust measurements can be used to evaluate the trustworthiness of services, they are not always available and are static in nature. Subjective approaches are not always viable because they often require repeated service invocations to collect client feedback. To overcome these limitations, we propose, in this paper, a reputation-based trust assessment approach that combines the Net Brand Reputation (NBR) measure with a deep learning-based sentiment analysis model using online user reviews. CBiLSTM is the name of the proposed deep learning model that hybridizes the Convolutional Neural Networks (CNN) and the Bidirectional Long Short-Term Memory (BiLSTM) layers. The CNN layers deal with text inputs’ high dimensionality, while the BiLSTM layer explores the context of the extracted features in both forward and backward directions. CBiLSTM was trained on a new dataset named CLOSER-DREAM, containing more than 13,000 reviews relating to several emerging cloud services to classify these reviews and assess the overall reputation of the cloud services providers. The results of the series of experiments that were conducted have shown that CBiLSTM outperforms the classic deep learning models with 98% of precision, 99% of recall, 98% as an F1-score, and 99.7% of accuracy. Also, CBiLSTM offered a reasonable training time of about 519ms with the CLOSER-DREAM dataset. The classification obtained by applying CBiLSTM was proven to be an effective method to calculate the NBR measure used for the reputation assessment of cloud service providers. The proposed technique yielded an NBR score of 98.3% for Google cloud services, which is close to the real/actual NBR of 96.25%.

A systemic perspective on children’s well-being in military families in different countries

Introduction: Children are influenced by different environments – home, friends, school, community, society, and the existence and availability of various services – and child well-being is the outcome of the interrelationships between the child and these environments. The military is one of the environments that shapes the well-being of children in military families, and the environments interact with each other. Methods: Our main assumption is that the effect of military environment on child well-being may vary in different societies depending on the general social security system. We describe how the military children’s well-being is embedded in military systems, which in turn is embedded in welfare state. The main question is how the well-being of children from military families varies across countries and how much variation can be explained by the interplay between military systems and different welfare regimes. Results: We begin by describing the differences in welfare states and military systems, and then give a short overview of children’s well-being in the context of different welfare regimes (e.g., availability of public child care, health care, and access to education and extracurricular activities). Discussion: Next, we look at the interplay between the military and welfare regimes and, finally, we show how the well-being of military children is supported across countries by their different welfare regimes.

Evaluation of maternal and newborn health services in Jordan.

ObjectivesThis study aimed to assess the maternal and newborn services in Jordanian hospitals to provide policymakers, health professionals, and researchers with a clear picture about the current status of maternal and newborn health services.MethodsA total of 32 main hospitals that provide maternity services in Jordan were assessed. The study involved direct observations of these hospitals and interviews with basic health and hospital staff, with the purpose of assessing and evaluating the availability of various services for mothers and newborns, availability of resources, equipment and supplies, documentation and staff training, and provision of the health care services.ResultsSome hospitals had shortages of obstetricians and gynecologists, pediatricians, neonatologists, and midwives/nurses. Antenatal care was not provided systematically in many hospitals across the country. A lack of necessary equipment, drugs, and supplies was evident in some hospitals. Admission departments of some hospitals had insufficient supplies. The operation theaters in many hospitals lacked a variety of necessary equipment including some basic items such as thermometers and some advanced items such as resuscitation sets for babies. Only two-thirds of all delivery rooms in the selected hospitals had radiant heaters and obstetrical stethoscopes available. A significant lack of neonatal ICU equipment was found such as incubators, resuscitation tables, continuous positive airway pressure, O2 oximeters, and phototherapy.ConclusionThe findings revealed an overall satisfactory quality of maternal and newborn care and services, however, some deficiencies existed. The findings are expected to aid policymakers, health professionals, and researchers to recognize the gaps in the processes, supplies, and quality of care related to the provided services at maternal facilities and help them to design and implement evidence-based health programs in order to provide effective health services and promote the health of mothers and newborns.

An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers

Cloud computing infrastructures are designed to support the accessibility and availability of various services to consumers over the Internet. Data centers hosting Cloud applications consume massive amount of power, contributing to high carbon footprints to the environment. Hence, solutions are needed to minimize the energy consumption. This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. Furthermore, an Adaptive Genetic Algorithm (GA) is proposed to reflect the dynamic nature of the Cloud environment and to provide a near optimal scheduling solution that minimizes the energy consumption. The proposed adaptive GA is validated by simulating the Cloud infrastructure and conducting a set of performance and quality evaluation study in this environment. The results demonstrate that the proposed solution offers performance gains with regards to response time and in reducing energy consumption.

The availability of services for children with autism spectrum disorder in a Saudi population.

Objective:To assess the perceived availability of various services provided by Autism centers in our region.Methods:A cross sectional study was conducted from March to May 2015 involving health care workers at various governmental and private autism centers in Jeddah, Kingdom of Saudi Arabia. A structured 30-item questionnaire was designed to assess their demographics, training, experience, and the availability of various services at their centers.Results:Twelve autism centers were included and 136 employees participated in the study. Seventy-eight (57%) participants indicated that their center lacked important and essential services. These included programs for home care and outreach (59%), family recognition incentives and rewards (51%), integrative educational programs (39%), and occupational therapy (16%). Access for outside referral for these services was available in only 24% of cases. They cited several major obstacles in providing adequate service including; family involvement (24%), child’s behavioral problems (13%), increased number of students (9%), and work environment and space (5%).Conclusion:Significant deficiencies exist in the availability of autism services in our region. Access for referrals for important services is also limited. We identified several areas that can be targeted to help develop, promote, and improve the provided services for children with autism spectrum disorder.

A combination of methods needed to assess the actual use of provisioning ecosystem services

Failure to recognize that potential provisioning ecosystem services are not necessarily collected and used by people may have important consequences for management of land and resources. Accounting for people's actual use of ecosystem services in decision making processes requires a robust methodological approach that goes beyond mapping the presence of ecosystem services. But no such universally accepted method exists, and there are several shortcomings of existing methods such as the application of land use/cover as a proxy for provisioning ecosystem service availability and surveys based on respondents' recall to assess people's collection of e.g. wild food. By combining four complementary methods and applying these to the shifting cultivation systems of Laos, we show how people’s actual use of ecosystem services from agricultural fields differs from ecosystem service availability. Our study is the first in Southeast Asia to combine plot monitoring, collection diaries, repeat interviews, and participant observation. By applying these multiple methods borrowed from anthropology and botany among other research domains, the study illustrates that no single method is sufficient on its own. It is of key importance for scientists to adopt methods that can account for both availability of various services and actual use of those services.

The Scope and Distribution of Imaging Services at Critical Access Hospitals

The purpose of this study was to better understand the availability and scope of imaging services at critical access hospitals (CAHs) throughout the United States. Recent American Hospital Association (AHA) annual survey data (containing 1,063 variables providing comprehensive information on organizational characteristics and availability of various services at 6,317 hospitals nationwide) and US census data were merged. Imaging survey data included mammography, ultrasound, CT, MRI, single photon emission CT, and combined PET/CT. Availability and characteristics of imaging services at the 1,060 CAHs in 45 states for which sufficient data were available were studied. Mammography, ultrasound, and some form of CT were the most widely available of all imaging services, but were available in all CAHs in only 13%, 33%, and 56% of all states, respectively. In no states were ≥64-slice CT, MRI, single photon emission CT, and combined PET/CT available in all CAHs. An overall scarcity of access to imaging services exists at CAHs throughout the United States. With 19.3% of the US population residing in rural areas and almost entirely dependent on CAHs for health services, the policy implications for imaging access could be profound. Further research is necessary to investigate the effect of imaging access on CAH patient outcomes.

The Likelihood of Successful Crime Prevention: Norwegian Detainees on Preventive Detention Views on Programmes and Services Organized and Provided by the Criminal Justice System

Viewpoints from 26 inmates on preventive detention regarding their own risk for reoffending, once out of prison, showed that 73% of the detainees acknowledged this risk and specifically explained their vulnerability. Fifty-eight percent expressed themselves negatively regarding rehabilitation programmes and the availability of various services. Clearly, the prisoners' own expectations were not in accordance with their expectations as to the effect of what is being offered by the criminal justice system. Finally, 69% were critical to the current means of rehabilitation from which they had experience and foresaw no crime preventive effect. Several inmates expressed the need for a more individually based approach.

Are needs and satisfaction of care associated with quality of life? An epidemiological survey among the severely mentally ill in the Netherlands.

Is the quality of life of severe mentally ill patients influenced by the intensity of the care provided, their satisfaction with services and/or the amount of unmet needs? The interrelatedness of these three outcome measures was investigated in a sample of 101 patients dependent on long-term psychiatric care in the Northeast of the Netherlands. Instruments used were the Camberwell Assessment of Needs, the Verona Service Satisfaction Schedule and a health related quality of life instrument, the EuroQoL. Quality of life was unrelated to satisfaction with services but was strongly associated with unmet needs in the area of mental and physical health, and of rehabilitation. Quality of life decreased as needs increased. Needs were also strongly related to diagnosis and cognitive functioning. Furthermore, more intensive care settings were provided as needs increased. Demographic, diagnostic and treatment variables did not explain much extra variance in quality of life. Despite the availability of various services in the region there was a lack of tailor made care which took into account specific unmet needs with regard to information, social contacts, and daily activities.