Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Therapeutic Atmosphere in a Psychiatry Clinic on Social Functionalityof in-Patients

Objective: Hospitalization for patients with psychiatric disorders involves situations such as getting away from their usual environment and being together with unfamiliar people. The aim of the present research was to evaluate the effect of therapeutic atmosphere in a psychiatry clinic on social functionality of in-patients. Method: The research has been planned as a descriptive and relational type and conducted with 50 patients who accepted to participate in and who had been hospitalized in Psychiatry Ward. Results: In the light of findings of the present study, a relation was found between therapeutic atmosphere and social functionality. It was determined that there was statistical significance between â€œsocial functionality scaleâ€? scores of the patients and their gender and medical diagnosis. Social functionality which was acquired in the ward maintained for a month after discharge. Conclusion: The most important finding of the present study has been that male patients were more socially functional than female patients and that functionality was maintained for one month after discharge. The results of the research carried out in the psychiatric clinic, as well as contribution to the development of patient care team members that may lead to the work.
NON FUNCTIONAL REQUIREMENTS (NFRS) TRACEABILITY METAMODEL FOR AGILE DEVELOPMENT

Agile methodologies are well known for early and frequent releases. Besides, these methodologies also handle requirement changes well without causing delays. However, it has been noticed that the functional requirements changes can affect the non-functional requirements (NFRs) such as security and performance. It is also possible that the agile team is not even aware of these effects causing dysfunctional system. This issue could be addressed by offering traceability mechanism that helps to trace the effect of functional requirement changes on the non-functional requirements. Unfortunately, a few researchers have conducted studies regarding this issue. Thus, this study attempts to present a Traceability Process Model (TPM) to tackle the issue of tracing NFR especially security and performance. However, to materialize a full scale TPM, a metamodel is necessary. Therefore in this paper, we present a metamodel by integrating two existing metamodels. Then we validate the newly built metamodel with precision and recall methods. Lastly, we also develop a traceability tool that is based on the proposed metamodel.
Exceptional species richness of ciliated Protozoa in pristine intertidal rock pools

Marine intertidal rock pools can be found almost worldwide but little is known about the microscopic life forms they support, or the significance of regular tidal inundation. With regard to ciliated Protozoa in rock pools, little progress has been achieved since 1948, when the question was first posed as to how a community of ciliates can remain relatively constant in a rock pool that is flushed twice a day. Here we show that local ciliate species richness is very high and that it may per- sist over time. This elevated species richness can be attributed to ciliate immigration with the in- coming tide, and also to the resident ciliate community that withstands tidal flushing. A 15 cm deep intertidal rock-pool no bigger than 1 m 2 on the island of St. Agnes (Scilly Islands, UK) contained at least 85 ciliate species, while a 20 cm-deep rock pool with roughly the same area on Bryher (also in the Scilly Islands) yielded 75 species. More than 20% of the global number of described marine inter- stitial ciliate species was recorded from these rock pools. We explore the paradox of a persisting com- munity assembly living in an ecosystem that is physically highly dynamic.
A study on the prevalence of zoonotic important methicillin resistant and vancomycin resistant Staphylococcus aureus (MRSA & VRSA) and coagulase negative Staphylococci (MR-CNS & VR-CNS) in raw milk samples of Tirupati, Andhra Pradesh

The antimicrobial resistance in food producing animals is a global problem particularly in developing countries and the indiscriminate use of antimicrobial agents is a major concern for the emergence of resistant zoonotic bacterial pathogens. The Coagulase positive (CPS) and Coagulase negative Staphylococci (CNS) strains, opportunistic pathogens, which commonly resides on the coverings of humans and animals and cause wide range of infections as well as food poisoning in both humans and animals Hence, the present study was aimed to detect presence of methicillin resistant as well as Vancomycin resistant Staphylococcus aureus and CNS in a total of 100 raw milk samples by phenotypic methods i.e. disc agar diffusion tests. Among 57 Staphylococcus isolates, 42 and 15 isolates were confirmed as S. aureus and CNS. Out of 42 S. aureus strains, 10 were identified as methicillin resistant (MRSA) and 5 as Vancomycin resistant (VRSA). Among 15 CNS strains, 5 and 4 were identified as methicillin resistant (MR-CNS) and Vancomycin resistant (VR-CNS). The presence of antibiotic resistance among S. aureus and CNS in veterinary may cause hazard for human health via food chain or through direct transmission of resistant pathogens between humans and animals.
Estimating Hourly Profiles of Insolation based on Weekly Weather Forecast

In this paper, the authors present a simple procedure of estimating weekly profiles of insolation for photovoltaic (PV) power generation output of a roof-top PV system. The model is based on the historical data of solar insolation and weather conditions. Weather conditions are classified into representative patterns such as sunny, cloudy, and rainy, and corresponding hourly profile of insolation is obtained as the most likely values under each weather condition. The system uses the text weather forecast and the probability of precipitation information as input to obtain the estimated weekly profile of insolation. From the results presented here it is shown that such a simple profile can be useful for rating the storage batteries and scheduling electric vehicle charging to better utilize the PV-generated electricity.
Quadripartite Surface Wave Method: Development*

Summary In general, accurate surface wave phase velocities are obtained from the tripartite method only when the epicentre-to-network path is nearly parallel to one leg of the array. This limitation can be removed by adding a fourth station to the network and assuming wavefronts in the form of circular arcs. The addition of two stations permits the use of such wavefronts to estimate the lateral heterogeneity of the structure beneath the array. This can also be done with a five-station network if two separate events are employed. Tests of the quadripartite method in the presence of lateral heterogeneity, show that a roughly rectangular configuration of stations yields a phase velocity which is a good approximation to the true velocity at the centre of the array. Tests of a triangular network which includes a central station indicate that such an array may provide the means for determining the phase-velocity gradient with only four stations. The quadripartite method is used to test the feasibility of network measurement of local attenuation of surface waves due to the intrinsic attenuation of the Earth. Our results demonstrate that amplitude errors are not the only important consideration in the measurement of accurate attenuation. Timing errors and the ratio of network dimensions to wavelength are important as well. We conclude that even under ideal conditions, the present measurement and data-processing techniques appear to offer little hope for accurate network measurement of local attenuation.
Representation of Moral Values and Characterizations in Putu Wijaya’s “Peradilan Rakyat” (A Study of Ideational Meaning)

Cerita pendek merupakan karya sastra yang mengandung ekspresi, ide, maupun refleksi pengalaman yang dicurahkan penulis yang bertujuan untuk menyampaikan pesan/amanat kepada pembaca. Dalam hal ini, ideational meaning sebagai salah satu bidang kajian Linguistik Fungsional Sistemik (LFS) memandang bahasa sebagai sistem tanda yang dapat dianalisis secara struktural untuk menginterpretasikan pengalaman, konsep, dan ide yang ada di dalam cerpen melalui sistem transitivitas sebagai alat penentunya. Tujuan penelitian ini adalah untuk mendeskripsikan representasi nilai – nilai moral dan penokohan yang terdapat dalam cerita pendek karya Putu Wijaya yang berjudul “Peradilan Rakyat” melalui analisis ideational meaning . Jenis penelitian ini adalah penelitian deskriptif kualitatif dimana penulis menjelaskan hasil peneltian melalui makna ideasional yang terdapat dalam cerpen. Dalam mengumpulkan data, penulis menggunakan metode non – participant observation serta purposive sampling technique karena penulis hanya mengambil sample yang merepresentasikan nilai moral dan penokohan yang dimaksud. Metode yang digunakan dalam menganalisis data adalah metode padan referensial dan metode agih. Hasil penelitian menunjukkan bahwa terdapat 6 jenis nilai moral yang terkandung dalam cerpen “Peradilan Rakyat”. Keenam jenis tersebut antara lain: Being Professional, Being Critical, Having Confidence, Having Honesty, Having Wisdom, dan Having Love.
Distributed Database Integrated Transaction Processing Technology Research

In this paper, we propose one comprehensive distributed database transaction method for InfiniBand transaction integrity in the distributed heterogeneous environment caused by data and application expansion. The method first integrates the functions of the standard online transaction engine and then uses the optimistic concurrency control technique to deal with the online memory allocation problem. On the one hand, it reduces the delay time of the online transaction and on the other hand, allocates the computing cost of the transaction to the server and the client. In the existing enterprise network environment using YCSB as a benchmark test shows that the different keys under the method of response speed are the fastest. The result shows that this kind of hybrid processing scheme can make full use of the advantages of remote direct memory access and fast network, which can further improve the consistency and reliability of the distributed database system.
A well defined glass state obtained by oscillatory shear

We investigate the process of shear melting and resolidification of a colloidal glass, directly after loading (preyielding) and after a series of consecutive strain sweeps (postyielding). The postyielding glass shows a significant softening compared with the preyielding glass, together with the absence of history effects in successive shear melting protocols, indicating a reproducible process of fluidisation and resolidification into a glass state unaffected by residual stresses. However, a significant hysteresis characterizes strain sweeps with increasing or decreasing strain amplitude. The appearance of history and hysteresis effects coincides with the formation of a glass state, whereas it is not observed in the liquid. We can describe the onset of shear melting over a broad range of volume fractions and frequencies using a recently developed model which describes the yielding process in terms of loss of long-lived nearest neighbors.We investigate the process of shear melting and resolidification of a colloidal glass, directly after loading (preyielding) and after a series of consecutive strain sweeps (postyielding). The postyielding glass shows a significant softening compared with the preyielding glass, together with the absence of history effects in successive shear melting protocols, indicating a reproducible process of fluidisation and resolidification into a glass state unaffected by residual stresses. However, a significant hysteresis characterizes strain sweeps with increasing or decreasing strain amplitude. The appearance of history and hysteresis effects coincides with the formation of a glass state, whereas it is not observed in the liquid. We can describe the onset of shear melting over a broad range of volume fractions and frequencies using a recently developed model which describes the yielding process in terms of loss of long-lived nearest neighbors.
Using Weather Variables Pre- and Post-heading to Predict Deoxynivalenol Content in Winter Wheat.

Substantial economic losses have occurred because of unacceptable concentrations of deoxynivalenol (DON) in wheat. Accurate predictions of DON in mature grain at wheat heading are needed to make decisions on whether a control strategy is needed. Our objective was to identify important weather variables, and their timing, for predicting concentrations of DON in mature grain at wheat heading. We measured the concentration of DON in 399 farm fields in southern Ontario, Canada, from 1996 to 2000. DON varied in field samples from undetectable to over 29 μg g-1. Weather variables, such as daily rainfall, daily minimum and maximum air temperatures, and hourly relative humidity, were estimated for each field from nearby weather stations and were normalized to the date of 50% head emergence. Stepwise multiple regression procedures determined the most important weather variables and their timing around heading. DON was responsive to weather in three critical periods around heading. In the first period, 4 to 7 days before heading, DON generally increased with the number of days with >5 mm of rain and decreased with the number of days of <10°C. In the second period, 3 to 6 days after heading, DON increased with the number of days of rain >3 mm and decreased with days exceeding 32°C. In the third period, 7 to 10 days after heading, DON increased with number of days with >3 mm of rain. A relationship between relative humidity and DON was not detected. Overall, 73% of the variation in the concentration of DON was explained by using weather from all three critical periods. Concentrations of DON <2.0 μg g-1 were predicted best; in fact, concentrations of DON of <1.0 μg g-1 were predicted correctly on over 89% of the fields used to train the model.
Microstructural and chemical variation in silica-rich precipitates at the Hellisheiði geothermal power plant

Abstract Precipitation of amorphous silica (SiO2) in geothermal power plants, although a common factor limiting the efficiency of geothermal energy production, is poorly understood and no universally applicable mitigation strategy to prevent or reduce precipitation is available. This is primarily due to the lack of understanding of the precipitation mechanism of amorphous silica in geothermal systems. In the present study data are presented about microstructures and compositions of precipitates formed on scaling plates inserted at five different locations in the pipelines at the Hellisheidi power station (SW-Iceland). Precipitates on these plates formed over 6 to 8 weeks of immersion in hot (120 or 60°C), fast-flowing and silica-supersaturated geothermal fluids (~800 ppm of SiO2). Although the composition of the precipitates is fairly homogeneous, with silica being the dominant component and Fe sulfides as a less common phase, the microstructures of the precipitates are highly variable and dependent on the location within the geothermal pipelines. The silica precipitates have grown through aggregation and precipitation of silica particles that precipitated homogeneously in the geothermal fluid. Five main factors were identified that may control the precipitation of silica: (I) temperature, (2) fluid composition, (3) fluid-flow regime, (4) distance along the flow path, and (5) immersion time. On all scaling plates, a corrosion layer was found underlying the silica precipitates indicating that, once formed, the presence of a silica layer probably protects the steel pipe surface against further corrosion. Yet silica precipitates influence the flow of the geothermal fluids and therefore can limit the efficiency of geothermal power stations.
Parallel ant system applied to the multiple knapsack problem

Interesting real world combinatorial problems are NP-complete and many of them are hard to solve by using traditional methods. However, several heurist ic methods have been developed in order to obtain timely suboptimal solutions. Most of t h se heuristic methods are also naturally suitable for a parallel implementation and consequent ly, an additional improvement on the response time can be obtained. One way of increasing th e computational power is by using multiple processors operating together on a s i gle problem. The overall problem is split into parts, each of which is operated by a separate pr oc ssor in parallel. Unfortunately problems cannot be divided perfectly into separate par s and interaction is necessary between the parts like data transfer and process synchronization. However, substantial improvement can be achieved, depending on the problem and the am ount of parallelism in the problem. Our work aims to exploit the capability of a d istributed computing environment by using PVM and implementing a parallel version of an Ant Sy s em for solving the Multiple Knapsack Problem (MKP). An Ant System (a distribu ted algorithm) is a set of agents working independently and cooperating sporadically in a common p roblem solving activity. Regarding the above characteristics, an Ant System can be natur ally considered as anearly embarrassingly parallel computation . The proposed parallel implementations of an Ant System are based on two different approaches, static and dynamic task assignment . The computational study involves processors of different velocities and several MKP test cases of different sizes and difficulties (tight and loose constraints). Th e performance on the response time is measured by two indexes, Speedup Factor and Efficiency when is compared to a serial version of an Ant System. The results obtained show the p otential power of exploiting the parallelism underlying in an Ant System regarding the good quality of the results and a remarkable decreasing on the computation time. The research group is supported by U.N.S.L and ANPCyT (Agenc ia Nacional para la Promoción de la Ciencia y la Tecnoloǵia) Parallel Ant Systems applied to the Multiple Knapsack Problem
Calculating incremental risk charges: The effect of the liquidity horizon

The recent incremental risk charge addition to the Basel (1996) market risk amend- ment requires banks to estimate, separately, the default and migration risk of their trading portfolios that are exposed to credit risk. The new regulation requires the total regulatory charges for trading books to be computed as the sum of the market risk capi- tal and the incremental risk charge for credit risk. In contrast to Basel II models for the banking book no model is prescribed and banks can use internal models for calculating the incremental risk charge. In the calculation of incremental risk charges a key compo- nent is the choice of the liquidity horizon for traded credits. In this paper we explore the e¤ect of the liquidity horizon on the incremental risk charge. Speci�cally we consider a sample of 28 bonds with di¤erent rating and liquidity horizons to evaluate the impact of the choice of the liquidity horizon for a certain rating class of credits. We �find that choosing the liquidity horizon for a particular credit there are two important effects that needs to be considered. Firstly, for bonds with short liquidity horizons there is a miti- gation effect of preventing the bond from further downgrades by trading it frequently. Secondly, there is the possibility of multiple defaults. Of these two effects the multiple default effect will generally be more pronounced for non investment grade credits as the probability of default is severe even for short liquidity periods. For medium investment grade credits these two effects will in general o¤set and the incremental risk charge will be approximately the same across liquidity horizons. For high quality investment grade credits the effect of the multiple defaults is low for short liquidity horizons as the frequent trading effectively prevents severe downgrades.
Mechanical Properties in MEMS

In the last two decades, microelectromechanical systems (MEMS) have rapidly grown into an important area of technology with several applications in defence and in the civilian sector. It is, however, only in recent years that attention has been focused on the measurement of mechanical properties and their roles in MEMS. The knowledge of mechanical properties of materials used in MEMS devices is critical, not only in materials selection and designing structures such as cantilevers and beams, but also for ensuring their reliability during operation of these devices. It has also been established that the mechanical properties are scale and process dependent, and hence, it is essential to measure the mechanical properties of these materials at the same length scale and employing the same processes as that used in MEMS devices. The various experimental techniques in vogue to measure the mechanical properties of these materials as well as the expertise and facilities developed at DMRL have been highlighted using a few case studies.
Configuring the Performance Measurement Systems of Small Medium Enterprises from the Life Cycle Perspective

The purpose of this paper is to examine the attributes of Performance Measurement Systems (PMS) of the Malaysian Small Medium Enterprises (SMEs), from an organizational life-cycle perspective. It was suggested that PMS is less comprehensive at birth stage, most comprehensive in the growth stage and decrease at the maturity stage of the life-cycle. The more comprehensive use of PMS is expected to be associated with higher organizational performance. Survey questionnaires were administered to managers yielding 90 usable responses. Using cluster analysis, SMEs were categorized into birth, growth and maturity stages. The findings support the hypotheses and thereby provide evidence on the variations of PMS attributes among SMEs across the life cycle stages. The study contributes to knowledge on internal consistencies between organizational factors at each organizational life-cycle stages that has implications for management control systems. To the practice, it provides evidence on organizational adaptations to changes in firm’s strategy and structure.
Field trial on GPS Accuracy in a medium size city: The influence of built- up 1

1. 1 Published in 3 Workshop on Positioning, Navigation and Communication 2006 (WPNC’06), Hannover, March 16 2006; http://www.wpnc. net/ Based on the success of automotive navigation systems pedestrian navigation systems have been introduced for mobile devices. They have much higher accuracy requirements, since movements are less constrained in open places, and alternatives like alleys in an old town centre are in closer proximity. Location-based tourism information systems like tour guides are designed to provide context-driven interpretation of sights situated in the immediate vicinity. Current pedestrian navigation systems exclusively rely on GPS assisted by a map for localization. Hard to reproduce anecdotal evidence suggests that pedestrian navigators have difficulty to provide accurate navigational guidance. This paper examines the actual accuracy of positioning for various GPS receivers in areas of the city of Gorlitz relevant to a tourist. These measurements are based on a comparison between a dense network of reference points of known locations and the estimated positions provided by the GPS receivers. The error of GPS localization is largely determined by the interaction of the current constellation of GPS satellites and the built-up in the immediate proximity. Since the constellation changes constantly the localization error of the same position varies significantly over time. A fraction of the error is reproducible and can therefore be used to correct the position estimate. The error along the street or alley is much smaller than the orthogonal error. This is of strategic importance for the design of mobile information systems targeting a tourist with interpretive information.