Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive factors for unanticipated admissions after ambulatory laparoscopic cholecystectomy.

HYPOTHESIS Analysis of the causes of unanticipated admission after ambulatory laparoscopic cholecystectomy may permit the identification of predictive clinical factors for postoperative admission. DESIGN Univariate and multivariate analyses of clinical variables associated with unplanned admission in a retrospective case-control series of ambulatory laparoscopic cholecystectomies. SETTING A major university-affiliated teaching hospital. PATIENTS Seven hundred thirty-one consecutive patients who underwent ambulatory laparoscopic cholecystectomies between January 1, 1996, and December 31, 1999. INTERVENTION Ambulatory laparoscopic cholecystectomy. MAIN OUTCOME MEASURES Unplanned postoperative admissions. Univariate and multivariate analyses of 19 clinicopathologic factors were performed to identify independent predictive factors for these admissions. RESULTS Seven hundred six patients were discharged on the day of operation. The remaining 25 required admission because of pain (n = 10), nausea and vomiting (n = 6), retention of urine (n = 5), patient preference (n = 3), and medical observation (n = 1), giving an unanticipated admission rate of 3.4%. Significant factors associated with unplanned admission included operative duration of longer than 60 minutes and thickened gallbladder wall on ultrasonographic and pathological findings. By means of logistic regression, length of operation was the only independent predictive factor. Operative time exceeding 60 minutes incurred a 4-fold increased risk for unanticipated admission. CONCLUSIONS Operative duration was the best predictive factor for unplanned admission after ambulatory laparoscopic cholecystectomy. During selection of patients for day surgery, ultrasonographic demonstration of a thickened gallbladder wall should be taken into consideration.
An Application-Level Incremental Checkpointing Mechanism with Automatic Parameter Tuning

Although incremental checkpointing is an effective way of reducing the checkpointing overhead, it has been discussed mostly for system-level checkpointing. Since the whole memory space of a running application is saved in a checkpoint file, system-level checkpointing will be less practical for future-generation extreme-scale computing systems, in which the I/O operation is much more expensive than the computation, especially in terms of power consumption. In this work, hence, the idea of incremental checkpointing is applied to application-level checkpointing, in which programmers explicitly specify the simulation data to be saved into a checkpoint file so that only necessary data for resuming the simulation are saved. This work assumes that, in incremental checkpointing, a management region consisting of multiple memory pages is written to a checkpoint file only if any page in the management region has been updated since the last checkpointing. A management granularity is defined as the number of pages in a management region. A large granularity is likely to reduce the checkpointing overhead if a management region consists of only updated pages. However, if the granularity is too large, a management region will contain a lot of pages not updated since the last checkpointing, and thus incremental checkpointing cannot reduce the number of pages to be written into a checkpoint file. Therefore, this paper proposes an application-level incremental checkpointing mechanism with granularity autotuning for reducing the checkpointing overhead of a legacy simulation code.
Gender Discrimination at Korean Workplace

기업조직에서 여성의 대표성이 낮은 것은 인사과정에서 발생하는 다양한 차별이 누적된 결과이다. 업무배치, 훈련 및 교육, 업무평가, 승진 등 일련의 인사결정 과정에서 여성들은 남성들에 비하여 차별을 경험하고 있으며, 이러한 다중적인 차별이 여성의 대표성을 낮추는 요인이 되고 있다. 그렇다면 어떤 조직적 맥락과 구조 속에서 성불평등이 더 많이 혹은 적게 발생하는가? 그리고 어떠한 제도적 장치와 노력을 통해 차별 문제를 해결할 수 있는가? 이를 살펴보기 위해 본 연구는 943명의 여성관리자와 이들이 종사하는 213개의 기업을 대상으로 수집한 여성관리자패널을 이용하였다. 이 연구의 핵심적인 발견은 네 가지로 정리된다. 첫째, 조직문화는 여성에 대한 성차별을 억제하거나 증대시키는 데 많은 영향을 준다. 최고경영자가 여성인력을 중요하게 생각하고 높은 성평등 인식을 가질수록 여성관리자가 경험하는 성차별은 줄어든다. 집단적 조직문화를 강조하는 조직에서 일하는 여성관리자는 성차별에 노출될 위험이 높지만, 자유로운 토론문화가 발달된 조직에서는 성차별이 감소한다. 둘째, 인사과정의 공식화와 투명성이 중시될수록 여성에 대한 차별은 감소한다. 셋째, 여성의 대표성 증대가 성차별을 억제하는 효과는 크지 않았다. 넷째, 적극적 조치와 다양성관리제도는 성차별을 줄이는 데 매우 제한적인 역할을 한다. 이 연구의 결과는 몇 가지 정책적인 함의를 제공한다.
Design and Development of a Compound DSS for Laboratory Research

Using of decision support systems is today far away from being only the domain of top business management. DSSs are successfully applied in many areas of human activities, from traditional finance, financial forecasting and financial management, through clinical medicine, pharmacy, agronomy, metallurgy, logistics and transportation, to maintenance of machinery and equipment. Despite this, the use of decision support systems in the domain of laboratory research is still relatively unexplored area. The main idea behind the application of DSS in this particular domain is increasing the quality and shortening the duration of research, together with reducing costs. To achieve these objectives, making the right decisions at the right time using the right information is needed. Unfortunately, the disadvantage of decision support in the field of laboratory research is mainly the lack of historical data. The rules for decisionmaking are still nascent during the research. This makes the issue of applying DSS for laboratory research very interesting. It is obvious that requirements for computer support of laboratory research will vary from case to case, sometimes even substantially. On the other hand, there is a characteristic common to all laboratory research. The laboratory research consists of series of tests and measurements which generates data and knowledge as their outputs. To make a research effective, it is necessary to apply an appropriate process control to diagnostics, as well as knowledge acquisition techniques and knowledge management tools. Moreover, knowledge is very often hidden in the relationships between measured data and has to be discovered by using sophisticated techniques, such as Artificial Intelligence. There are several options for building DSS application. This chapter is focused on in-house development as the best way to develop DSS application with maximal possible compliance with user’s demands and requirements. Especially evolutional prototyping enables rapid development and deployment of the system features and functions according to the actual user’s requirements. On the other hand, in-house development puts certain requirements on IT skills, which may be an intractable obstacle in some cases. The objectives of this work are not to describe the universal, ready to use DSS, but to reveal possibilities, means and ways, to describe the methodology of design and in-house development of DSS for laboratory research with the most possible fit to user’s requirements.
A New Concept Model Based on the RSM

The Resource Space Model (RSM) is a semantic data model for specifying, sharing and managing various resources with a universal view in the future interconnection environment. This paper firstly proposes Resource Space Relationship Model (RSRM) to use Resource Space effectively, which is a new concept model and presented at the basics of Entity-Relationship (ER) Model, and then introduces four types of Resource Space Relationship. In addition, a new Resource Space, namely, Association Space is presented when referring to the association relationship. Moreover, compared to the traditional Recommendation Mechanism, a new mechanism, namely, Resource Space Recommendation Mechanism is proposed in the application of RSRM and the study shows that it is more feasible.
The Not5 Subunit of the Ccr4-Not Complex Connects Transcription and Translation

Recent studies have suggested that a sub-complex of RNA polymerase II composed of Rpb4 and Rpb7 couples the nuclear and cytoplasmic stages of gene expression by associating with newly made mRNAs in the nucleus, and contributing to their translation and degradation in the cytoplasm. Here we show by yeast two hybrid and co-immunoprecipitation experiments, followed by ribosome fractionation and fluorescent microscopy, that a subunit of the Ccr4-Not complex, Not5, is essential in the nucleus for the cytoplasmic functions of Rpb4. Not5 interacts with Rpb4; it is required for the presence of Rpb4 in polysomes, for interaction of Rpb4 with the translation initiation factor eIF3 and for association of Rpb4 with mRNAs. We find that Rpb7 presence in the cytoplasm and polysomes is much less significant than that of Rpb4, and that it does not depend upon Not5. Hence Not5-dependence unlinks the cytoplasmic functions of Rpb4 and Rpb7. We additionally determine with RNA immunoprecipitation and native gel analysis that Not5 is needed in the cytoplasm for the co-translational assembly of RNA polymerase II. This stems from the importance of Not5 for the association of the R2TP Hsp90 co-chaperone with polysomes translating RPB1 mRNA to protect newly synthesized Rpb1 from aggregation. Hence taken together our results show that Not5 interconnects translation and transcription.
Unraveling the Genetic Basis of Asthma and Allergic Diseases

Asthma and allergic diseases are believed to be complex genetic diseases which may result from the interaction of multiple genetic factors and environmental stimuli. In past decades, great efforts have been exerted in unraveling their genetic basis. The strategies in discovering genes and genetic variants, confirming their importance in pathogenesis of asthma and allergic diseases, as well as their strengths and limitations are summarized comprehensively and concisely. The current consensus about the genetic basis of asthma and allergic diseases is briefly described as well.
FLOODPLAIN RIVER FOOD WEBS : GENERALIZATIONS AND IMPLICATIONS FOR FISHERIES

Based on the relationship between temperature variation and flood dynamics, three types of floodplain rivers can be identified: temperate stochastic, temperate seasonal and tropical seasonal. The degree to which flooding occurs in phase with warm temperatures and enhanced system productivity influences selection for alternative life history strategies in aquatic organisms. In addition, regional geochemistry and temporal dynamics of disturbance and recovery of local habitats within the landscape mosaic favour different life history strategies, sources of production and feeding pathways. In most habitats, algae seem to provide the most important source of primary production entering Winemiller K.O. Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX, 77843-2258, United States E-mail: k-winemiller@tamu.edu FLOODPLAIN RIVER FOOD WEBS: GENERALIZATIONS AND IMPLICATIONS FOR FISHERIES MANAGEMENT
The regional heterogeneity of wind power deployment: an empirical investigation of land-use policies in Germany and Sweden

The purpose of this paper is to analyze and compare the impacts of land-use policies on wind power deployment at the regional levels in Germany and Sweden. We use data for the period 2008–2012, and an econometric approach in which the probability of having any wind power capacity additions and the actual level of increased capacity, given that it is positive, are permitted to be determined by different processes. The results confirm the importance of land-use policies, e.g., priority and exclusion areas, and interesting differences across the two countries are found. The impact of priority areas has been more profound in Germany, while the assignment of protected areas instead has constituted a more binding policy tool in Sweden. Cross-country differences in the relevance of various explanatory variables are linked to factors such as geographical patterns, design of wind power support schemes, and the allocation of decision-making power in planning processes.
Design, Explanation, and Evaluation of Training Model Structures Based on Learning Organization—In the Cement Industry with a Nominal Production Capacity of Ten Thousand Tons

This research aims to determine the effectiveness of training based on learning organization in the staff of cement industry with production capacity over ten thousand tons. The purpose of this study is to propose a training model based on learning organization. For this purpose, the factors of organizational learning were introduced by qualitative research in the form of open codes, axial codes, selective codes and the resulted observations, and then the final model was obtained by structural equation model. The data were collected from the staff of three cement companies of Abyek, Tehran, and Sepahan, with a statistical population of 1719 staff of cement industry. The qualitative research sample included 29 experienced experts in the field of cement industry, and the quantitative research sample included 326 staff and experts, who were selected by multi-stage cluster sampling. A self-made questionnaire consisting of 72 questions was used to measure quantitative variables. The reliability of the questionnaire was 0.93 and its content and face validity was determined by expert colleagues and professors, the structural equation model and regression was used to analyze the quantitative data. The results showed that the status of learning organization in cement companies is in average level. Finally, the obtained model consisted of both individual and organizational factors. The individual factors affecting organizational learning include teaching scientific content, perception, trust, and self-efficacy of training. The organizational factors affecting organizational learning include organizational culture, forming the structure, the method of management and leadership, preparing human resource (identity), adaption to the environment, policies, rules, and regulations, and achieving a viable product. The share of individual factors on learning organization is higher than the effect organizational factors; the share of each factor is also determined.
Neuroimaging studies of language production and comprehension.

The 1990s were dubbed the "Decade of the Brain. " During this time there was a marked increase in the amount of neuroimaging work observing how the brain accomplishes many tasks, including the processing of language. In this chapter we review the past 15 years of neuroimaging research on language production and comprehension. The findings of these studies indicate that the processing involved in language use occurs in diffuse brain regions. These regions include Broca's and Wernicke's areas, primary auditory and visual cortex, and frontal regions in the left hemisphere, as well as in the right hemisphere homologues to these regions. We conclude the chapter by discussing the future of neuroimaging research into language production and comprehension.
11 : 00 coffee break coffee break coffee break coffee break 11 : 30

Non-Uniform Rational B-Spline (NURBS) surfaces can be non-uniform and defined for any degree, but existing subdivision surfaces are either uniform or of fixed degree. The resulting incompatibility forms a barrier to the adoption of subdivision for ComputerAided Design. In this talk I will discuss our work towards a superset of NURBS which can handle irregularities in the control mesh. We call this target NURBS-compatible subdivision, as the resulting scheme would be able to represent any existing NURBS patch exactly. I will outline our strategy, discuss work which is already complete [1,2], and look at the challenges which lie ahead.
Agriculture/Hydroaquaoponic Bioscience Sensor - Mobile App with Simulations and Software for Industry and Science Education Curriculum Module

There is a lot of technological buzz over the past few years regarding taking care of lettuce and hydroponic greenhouse plants and fish. We first review and discuss the recent technologies in the field of hydroponics, especially the hydroponic sensor curriculum project. The College of Engineering at The University of Akron developed a sensor that can detect hydrology, ph, electrical conductivity, nutrient levels, and temperature of hydroponic plants & aquaponic systems. The sensor can optimize the healthy monitoring of plants and fish in greenhouses, homes, schools, and universities anywhere in the world. The goal is to provide sustainable monitoring for growing healthy greenhouse foods 24/7. In this paper, we propose a sustainable solution for optimizing plant growth by using computer simulations and smart phone applications for plant growers and fisheries to access data in real-time and provide guidance on how to manage healthy environments for plants, such as “electric conductivity is lower than the standard for the tomato, so please add 5ml of nutrients”. The app will be extended to social media connection, which is enabled by the web access features, where the user can network with hydroponic and aquarium user groups to share information (how to grow a lettuce), ask questions (where can I buy seeds), and gaming for virtual fish and plant growing. The app can be used on a computer, a smart phone or a tablet and provides numerous features that currently need many separate apps, especially in emerging areas such as hydroponics and aquaponics. The data visualization component in the app can enhance the analysis of the variables and data collection. Using the app, plant growers can track results and grow better crops. The app also provides hands-on interactive simulations that connect to the national science standards, providing optimal use of nutrients by taking care of greenhouse plants and fish for hydroponics and aquaponics.
Increase in Complexity in Random Neural Networks

Nous etudions la dynamique d'un reseau de neurones a temps discret, dont les couplages sont asymetriques, aleatoires, et les seuils aleatoires. L'evolution des neurones est donnee a la limite thermodynamique par un jeu d'equations de champ moyen dynamique obtenues via une hypothese de chaos local. Nous etudions l'evolution de la distance quadratique moyenne entre deux trajectoires, et montrons qu'il existe deux regimes selon la valeur des parametres de controle. Dans le premier (regime statique) deux conditions initiales arbitrairement proches convergent vers le meme point fixe, alors que, dans le second (regime chaotique), elles divergent avec une vitesse exponentielle et evoluent vers une distance constante non nulle. La condition critique de transition est obtenue dans un cadre general, mais pour un cas particulier nous retrouvons l'equation de la ligne AT suggerant une forte analogie avec le modele SK. De plus, la distance quadratique limite en regime chaotique est la meme, quelles que soient les conditions initiales, montrant que notre modele presente une structure ultrametrique. Nous montrons numeriquement que cette propriete n'est cependant pas associee a un morcelement complexe de l'espace des phases comme pour le modele SK. En outre, nous montrons que le processus d'evolution des neurones est, a la limite thermodynamique, un bruit blanc. Le comportement de notre modele a la traversee de la ligne AT peut etre illustre en etudiant l'entropie de Kolmogorov-Sinai qui presente une transition brutale a la limite thermodynamique. Elle est nulle en regime statique et infinie en regime chaotique
2 Antipsychotics in the Treatment of Autism

The neurobehavioral syndromes are more frequent than we usually think. They are clinical challenges, because they demand knowledge from the physician as well as time for the correct approach. Such complaints are very frequent in hospital and addition to the private practice. For example, according to a survey carried out in our Hospital, the Child Neurology Unit made 10,622 evaluations in 2010, most of which were neurobehavioral syndromes including autism and other Pervasive Development Disorders. Because of the subtlety of the boundaries between Neurology and Psychiatry, the term neurobehavioral could also be called neuropsychiatric. These boundaries have been explored both in the clinical (Nunes and Mercadante, 2004) and in the experimental area (Quincozes-Santos et al., 2010). It is important to build a bridge between the clinical and the experimental research, especially when the issue is neuropsychiatric disorders. This linkage indubitably enhances the common knowledge of neurobehavioral alterations as well as it promotes the reciprocal enthusiasm. One of the most intriguing neurobehavioral syndromes is autism. The challenge starts with the difficulty of defining the disorder, continues with the limitations imposed by the lack of a clinical marker, and ends with the difficulties in the experimental research field. The word autism was used for the first time by the Swiss psychiatrist Eugen Bleuler in 1911. “Autism” came from the Greek word "autos," meaning self. However, the landmark paper describing autism came from the Austrian psychiatrist Leo Kanner, who described eleven children that shared common behavior, with a peculiar inability to establish affective and interpersonal contact. He published the paper “Autistic disturbances of affective contact” in the Journal Nervous Child (Kanner, 1943). In 1944, the Austrian pediatrician Hans Asperger described cases of children with some behavioral characteristics that resembled those of children with autism, but with a peculiar type of language as well as normal cognitive performance (Gadia et al., 2004). He published an article in German in 1944 entitled “Die ‘Autistischen Psychopathen’ im Kindesalter” in Archiv fur Psychiatrie und Nervenkrankheiten that was translated into English only in 1989. To date, more than half a century since Kanner ́s study, the number of papers in PubMed containing the word autism has risen above 17,000. From this total, the percentage of
A review on motion planning and obstacle avoidance approaches in dynamic environments

Path planning with obstacles avoidance in dynamic environments is a crucial issue in robotics. Numerous approaches have been suggested for the navigation of mobile robots with moving obstacles. In this paper, about 80 articles have been reviewed and briefly described to offer an outline of the research progress in motion planning of mobile robot approaches in dynamic environments for the last five years. The benefits and drawbacks of each article are also explained. These papers are classified based on their issues into ten groups which are: smooth path, safety, path length, run time, accuracy, stability, less computation cost, control, efficiency, and future prediction (uncertainties). Finally, some challenging topics are presented based on the papers mentioned.
HARQ with chase-combining for bandwidth-efficient communication in MIMO wireless networks

In this paper, we designed a detection scheme by using Chase Combining Hybrid Automatic Repeat Request (CC-HARQ) for spatial multiplexed Multi-input and Multi-output (MIMO) transmission systems. CC-HARQ increases the throughput and provides higher flexibility for the spatially multiplexed MIMO (SM-MIMO) system based on its Bit Error Rate (BER) requirement and the capability of Forward Error Correction (FEC) to minimize the errors. Besides, CC-HARQ is simple and straightforward with vital implications in system engineering. Experimental results reveal that the CC-HARQ scheme gains significant performance in terms of throughput and BER.
Plasma growth differentiation factor 15 is associated with weight loss and mortality in cancer patients

Cancer‐related weight loss is associated with increased inflammation and decreased survival. The novel inflammatory mediator growth differentiation factor (GDF)15 is associated with poor prognosis in cancer but its role in cancer‐related weight loss (C‐WL) remains unclear. Our objective was to measure GDF15 in plasma samples of cancer subjects and controls and establish its association with other inflammatory markers and clinical outcomes.