Miracle-dz/UniFAR-FTUs huggingface dataset:
The Identification of Novel Diagnostic Marker Genes for the Detection of Beer Spoiling Pediococcus damnosus Strains Using the BlAst Diagnostic Gene findEr

As the number of bacterial genomes increases dramatically, the demand for easy to use tools with transparent functionality and comprehensible output for applied comparative genomics grows as well. We present BlAst Diagnostic Gene findEr (BADGE), a tool for the rapid prediction of diagnostic marker genes (DMGs) for the differentiation of bacterial groups (e.g. pathogenic / nonpathogenic). DMG identification settings can be modified easily and installing and running BADGE does not require specific bioinformatics skills. During the BADGE run the user is informed step by step about the DMG finding process, thus making it easy to evaluate the impact of chosen settings and options. On the basis of an example with relevance for beer brewing, being one of the oldest biotechnological processes known, we show a straightforward procedure, from phenotyping, genome sequencing, assembly and annotation, up to a discriminant marker gene PCR assay, making comparative genomics a means to an end. The value and the functionality of BADGE were thoroughly examined, resulting in the successful identification and validation of an outstanding novel DMG (fabZ) for the discrimination of harmless and harmful contaminations of Pediococcus damnosus, which can be applied for spoilage risk determination in breweries. Concomitantly, we present and compare five complete P. damnosus genomes sequenced in this study, finding that the ability to produce the unwanted, spoilage associated off-flavor diacetyl is a plasmid encoded trait in this important beer spoiling species.
Rubber Trees Demonstrate a Clear Retranslocation Under Seasonal Drought and Cold Stresses

Having been introduced to the northern edge of Asian tropics, the rubber tree (Hevea brasiliensis) has become deciduous in this climate with seasonal drought and cold stresses. To determine its internal nutrient strategy during leaf senescence and deciduous periods, we investigated mature leaf and senescent leaf nutrients, water-soluble soil nutrients and characteristics of soil microbiota in nine different ages of monoculture rubber plantations. Rubber trees demonstrate complicated retranslocation of N, P, and K during foliar turnover. Approximately 50.26% of leaf nutrients and 21.47% of soil nutrients were redistributed to the rubber tree body during the leaf senescence and withering stages. However, no significant changes in the structure- or function-related properties of soil microbes were detected. These nutrient retranslocation strategy may be important stress responses. In the nutrient retranslocation process, soil plays a dual role as nutrient supplier and nutrient “bank. ” Soil received the nutrients from abscised leaves, and also supplied nutrients to trees in the non-growth stage. Nutrient absorption and accumulation began before the leaves started to wither and fall.
On efficient key pre-distribution in large scale wireless sensor networks

In a wireless sensor network, pre-distribution of secret keys is possibly the most practical approach to protect network communications. To meet the stringent resource constraints of the sensor nodes, such as limited storage capability, low computation capability, and limited battery life, key pre-distribution schemes should be highly efficient, namely requiring as little storage space as possible, and at the same time, maintain a strong security strength, i.e., high resilience against node capture. In this paper, a new approach for random key pre-distribution is proposed to achieve both efficiency and security goals. The novelty of this approach lies in that, instead of using a key pool consisting of random keys, a random key generation technique is carefully designed such that a large number of random keys can be represented by a small number of key-generation keys. Then, instead of storing a big number of random keys, each sensor node stores a small number of key-generation keys while computes the shared secret key during the bootstrapping phase on-the-fly using efficient hash operations. The proposed scheme outperforms the previous random key pre-distribution schemes by significantly reducing the storage requirement while holding the same security strength as shown by the detailed analysis
Postexercise Improvement in Insulin-Stimulated Glucose Uptake Occurs Concomitant With Greater AS160 Phosphorylation in Muscle From Normal and Insulin-Resistant Rats

Earlier research on rats with normal insulin sensitivity demonstrated that acute exercise increased insulin-stimulated glucose uptake (GU) concomitant with greater phosphorylation of Akt substrate of 160 kDa (pAS160). Because mechanisms for exercise effects on GU in insulin-resistant muscle are unknown, our primary objective was to assess insulin-stimulated GU, proximal insulin signaling (insulin receptor [IR] tyrosine phosphorylation, IR substrate 1–phosphatidylinositol-3-kinase, and Akt phosphorylation and activity), and pAS160 in muscles from acutely exercised (one session) and sedentary rats fed either chow (low-fat diet [LFD]; normal insulin sensitivity) or a high-fat diet (HFD; for 2 weeks, insulin-resistant). At 3 h postexercise (3hPEX), isolated epitrochlearis muscles were used for insulin-stimulated GU and insulin signaling measurements. Although exercise did not enhance proximal signaling in either group, insulin-stimulated GU at 3hPEX exceeded respective sedentary control subjects (Sedentary) in both diet groups. Furthermore, insulin-stimulated GU for LFD-3hPEX was greater than HFD-3hPEX values. For HFD-3hPEX muscles, pAS160 exceeded HFD-Sedentary, but in muscle from LFD-3hPEX rats, pAS160 was greater still than HFD-3hPEX values. These results implicated pAS160 as a potential determinant of the exercise-induced elevation in insulin-stimulated GU for each diet group and also revealed pAS160 as a possible mediator of greater postexercise GU of insulin-stimulated muscles from the insulin-sensitive versus insulin-resistant group.
From media planner to media expert: The digital effect in advertising

The increase in online audience and the development of Big Data in organizations modify the media planning activity and, consequently, the profile of the planner. Following the digital expansion, more information has become available to perform this task, but also, more complexity is observed in the work processes and in their agents’ structures. This paper analyzes the changes produced in the management of the media planner within the digital society. Through triangular research, comprising quantitative and qualitative methods, including a questionnaire that was administered to 140 media planners, and 5 interviews conducted with agency experts we examine the variations that have occurred in this professional role in terms of knowledge, the tools used and the skills they have had to maintain or update. It is noted that the adaptation to the digital context has required a substantial change in their work mechanics, the integration of off- and online strategies and digital specialization. Furthermore, with the help of current technology, immediate actions and reviews are implemented. Consequently, the media expert activity requires mastery of digital media planning tools, greater doses of innovation, analysis, business acumen and the ability to work effectively in multidisciplinary teams for multimedia environments. El incremento de la audiencia «online» y el desarrollo del «big data» en las organizaciones modifican la actividad de la planificación de medios y, en consecuencia, el perfil del planificador. Tras el avance digital se dispone de mayor información para ejercer esta labor, pero, igualmente, se observa más complejidad en los procesos de trabajo y en las estructuras de sus agentes. Este trabajo analiza los cambios producidos en la gestión del planificador de medios en la sociedad digital. A través de una investigación triangular que incluye métodos cuantitativos y cualitativos, donde se utiliza un cuestionario aplicado a 140 planificadores de medios y la realización de 5 entrevistas a expertos de agencias, se examinan qué variaciones se han producido en este rol profesional respecto a los conocimientos, herramientas utilizadas y competencias que han tenido que mantener o actualizar. Se constata que la adaptación al contexto digital supone un cambio sustancial en las mecánicas de trabajo, la integración de estrategias «off» y «online» y la especialización en digital. Asimismo, con la ayuda de la tecnología vigente, se implementan acciones y revisiones inmediatas. En consecuencia, la actividad del experto en medios exige el dominio de herramientas de planificación de medios digitales, mayores dosis de innovación, análisis, visión comercial y trabajar eficazmente en equipos multidisciplinares para entornos multimedia.
Behavioral and Brain Functions an Association Study of Drd2 and Comt Polymorphisms with Novelty Seeking and Harm Avoidance Scores, in Two Independent Samples of Depressed Patients

Background: It was recently reported that an interaction of the dopamine D2 receptor (DRD2) and catechol-O-methyltransferase (COMT) influences the behavioural approach system – as measured using Carver and White's Behavioural Inhibition and Behavioural Approach System (BIS/BAS) scales – in a sample of healthy German subjects. The Temperament and Character Inventory (TCI), in particular the novelty seeking (NS) and harm avoidance (HA) scales, correlates moderately with the BIS/BAS measure. This study aimed to examine support for an association of DRD2 and COMT with behavioural activation, using the TCI within two independent samples of depressed outpatients (for both samples n = 146).
A Novel Accuracy Adjustment Approach for Forecasted Quantity of Electricity Sales Based on Abnormal Influencing Factors Assessment

The forecasting of the monthly electricity sales is a fundamental work of the marketing department of State Grid Corporation of China, which has been implemented using regression and time-series analysis based on historical electricity sales. In this paper, we first study the correlation between electricity sales of all trades and related influencing factors, e.g., weather, economy, holidays and events, using the Pearson correlation coefficient, and further divide all trades into several super trades using the EM clustering algorithm based on the correlation. Then, a electricity sales adjustment model is created for each super trade using the SVM regression algorithm, which can determine the adjustment quantity of the electricity sales based on anomalies of the influencing factors. Extensive experimental study shows that the proposed adjustment approach can greatly improve the accuracy with respect to forecasting the next 12 months electricity sales of the power companies of State Grid Corporation of China (SGCC).
Leadership behavior practice patterns' relationship to employee work engagement in a nonprofit that supports the homeless

An organization‘s ability to achieve its goals depends on the quality of its leaders and their ability to produce a highly engaged workforce. High levels of employee and managerial turnover and burnout can impede an organization‘s workforce engagement and ability to grow and be successful. To minimize the impact of these 2 constructs (turnover and burnout), this study examined the link between leadership behavior practice patterns and employee work engagement in a nonprofit that supports the homeless. Responses from 48 non-managerial employees were used for this study. To investigate this study data were collected using 2 survey instruments: the Leadership Practice Inventory (LPI) and Utrecht Work Engagement Scale (UWES). Both surveys were completed by the same population on the same day. The combination of crosssectional survey designs using quantitative and descriptive correlational research methods helped the researcher analyze the data to identify relationships between the variables under investigation. According to the respondents‘ ratings, a positive correlation was found to exist between leaders‘ behavior practice patterns and employee work engagement. Moreover, the results found no negative correlations between the LPI scores and the UWES scores. High employee engagement in a nonprofit organization leads to better economic outcomes for the community and a better workplace for employees who feel their organization cares about their health and well-being, which leads to a more tenured workforce and effective group of leaders. Future directions for research include exploring other variables (leader responses and gender) to potentially predict different work engagement levels and leadership behaviors that could impede employee burnout and turnover.
An Objective Satellite-Based Tropical Cyclone Size Climatology

Storm-centered infrared (IR) imagery of tropical cyclones (TCs) is related to the 850-hPa mean tangential wind at a radius of 500km (V500) calculated from 6-hourly global numerical analyses for North Atlantic and eastern North Pacific TCs for 1995‐2011. V500 estimates are scaled using the climatological vortex decay rate beyond 500km to estimate the radius of 5kt (1kt 5 0.514ms 21 ) winds (R5) or TC size. A much larger historical record of TC-centered IR imagery (1978‐2011) is then used to estimate TC sizes and form a global TC size climatology. The basin-specific distributions of TC size reveal that, among other things, the eastern North Pacific TC basins have the smallest while western North Pacific have the largest TC size distributions. The life cycle of TC sizes with respect to maximum intensity shows that TC growth characteristics are different among the individual TC basins, with the North Atlantic composites showing continued growth after maximum intensity. Small TCs are generally located at lower latitudes, westward steering, and preferred in seasons when environmental low-level vorticity is suppressed. Large TCs are generally located at higher latitudes, poleward steering, and preferred in enhanced low-level vorticity environments. Postmaximum intensity growth of TCs occurs in regions associated with enhanced baroclinicity and TC recurvature, while those that do not grow much are associated with west movement, erratic storm tracks, and landfall at or near the time of maximum intensity. With respect to climate change, no significant long-term trends are found in the dataset of TC size.
Grouper as a Natural Biocontrol of Invasive Lionfish

Lionfish (Pterois volitans/miles) have invaded the majority of the Caribbean region within five years. As voracious predators of native fishes with a broad habitat distribution, lionfish are poised to cause an unprecedented disruption to coral reef diversity and function. Controls of lionfish densities within its native range are poorly understood, but they have been recorded in the stomachs of large-bodied Caribbean groupers. Whether grouper predation of lionfish is sufficient to act as a biocontrol of the invasive species is unknown, but pest biocontrol by predatory fishes has been reported in other ecosystems. Groupers were surveyed along a chain of Bahamian reefs, including one of the region's most successful marine reserves which supports the top one percentile of Caribbean grouper biomass. Lionfish biomass exhibited a 7-fold and non-linear reduction in relation to the biomass of grouper. While Caribbean grouper appear to be a biocontrol of invasive lionfish, the overexploitation of their populations by fishers, means that their median biomass on Caribbean reefs is an order of magnitude less than in our study. Thus, chronic overfishing will probably prevent natural biocontrol of lionfishes in the Caribbean.
Recent Glacial Retreat and Its Impact on Hydrological Processes on the Tibetan Plateau, China, and Surrounding Regions

ABSTRACT Glacial retreat on the Tibetan Plateau and surrounding regions is characteristic since the 1960s and has intensified in the past 10 yr. The magnitude of glacial retreat is relatively small in the interior of the Tibetan Plateau and increases to the margins of the plateau, with the greatest retreat around the edges. Glacial retreat in this region is impacting the hydrological processes in the Tibetan Plateau and surrounding regions. The glacial retreat has caused an increase of more than 5.5% in river runoff from the plateau. In some areas, such as the Tarim River basin, the increase in river runoff is greater. Glacial retreat has also caused rising lake levels in the areas with large coverage of glaciers, such as the Nam Co Lake and Selin Co Lake areas. Rising lake levels are devastating grasslands and villages near the lakes.
San Jose State University From the SelectedWorks of Magdalini Eirinaki 2013 QueRIE : Collaborative Database Exploration

Interactive database exploration is a key task in information mining. However, users who lack SQL expertise or familiarity with the database schema face great difficulties in performing this task. To aid these users, we developed the QueRIE system for personalized query recommendations. QueRIE continuously monitors the user’s querying behavior and finds matching patterns in the system’s query log, in an attempt to identify previous users with similar information needs. Subsequently, QueRIE uses these “similar” users and their queries to recommend queries that the current user may find interesting. In this work we describe an instantiation of the QueRIE framework, where the active user’s session is represented by a set of query fragments. The recorded fragments are used to identify similar query fragments in the previously recorded sessions, which are in turn assembled in potentially interesting queries for the active user. We show through experimentation that the proposed method generates meaningful recommendations on real-life traces from the SkyServer database and propose a scalable design that enables the incremental update of similarities, making real-time computations on large amounts of data feasible. Finally, we compare this fragment-based instantiation with our previously proposed tuple-based instantiation discussing the advantages and disadvantages of each approach.
DroidLegacy: Automated Familial Classification of Android Malware

We present an automated method for extracting familial signatures for Android malware, i.e., signatures that identify malware produced by piggybacking potentially different benign applications with the same (or similar) malicious code. The APK classes that constitute malware code in a repackaged application are separated from the benign code and the Android API calls used by the malicious modules are extracted to create a signature. A piggybacked malicious app can be detected by first decomposing it into loosely coupled modules and then matching the Android API calls called by each of the modules against the signatures of the known malware families. Since the signatures are based on Android API calls, they are related to the core malware behavior, and thus are more resilient to obfuscations. In triage, AV companies need to automatically classify large number of samples so as to optimize assignment of human analysts. They need a system that gives low false negatives even if it is at the cost of higher false positives. Keeping this goal in mind, we fine tuned our system and used standard 10 fold cross validation over a dataset of 1,052 malicious APKs and 48 benign APKs to verify our algorithm. Results show that we have 94% accuracy, 97% precision, and 93% recall when separating benign from malware. We successfully classified our entire malware dataset into 11 families with 98% accuracy, 87% precision, and 94% recall.
Global synchronous response to autogenous song in zebra finch HVc.

1. The spatial distribution of neuronal responses to autogenous song (AS) was investigated in the HVc of urethan-anesthetized adult male zebra finches (Taeniopygia guttata). In seven birds, penetrations covered the entire mediolateral, rostrocaudal, or dorsoventral extents of HVc. In an eighth, control birth penetrations were made near to but outside of HVc. Reconstruction of recording sites from histological material indicated a good correspondence between sites that exhibited stronger responses to AS than to tone or noise bursts, and sites that were within HVc. 2. Within each experimental bird but not in the control, multiple-unit responses to AS were similar across the entire spatial extent of HVc (up to 1.3 mm). For each experimental bird, the strongest responses occurred within a narrow range of times. The middle of this range of times is called the time of maximum synchronization (TMS). Across birds, 34-75% of recording sites exhibited the same TMS. With the use of a criterion of > 33% of sites exhibiting their strongest responses at the TMS, the temporal scatter around the TMS varied between 6 and 138 ms across individuals. In six of the seven experimental birds, the position of the TMS was not affected by changing the window of integration from 10 to 150 ms. In two experimental birds, short windows of integration tended to emphasize beginning portions of the song. In one case this effect was sufficiently strong to change the TMS for short windows of integration. 3. Each TMS was associated with a syllable of maximum synchronization (SMS). The positions of the SMS varied considerably across birds. In four birds the SMS was one of the syllables of the first motif (a motif is a temporal sequence of syllables that can be repeated > or = 1 times to form a song), in two birds the SMS was the introductory note of song, and in one bird the SMS was the second syllable of the last (3rd) motif. Syllables of the same type as the SMS but occurring in other motifs typically elicited much weaker responses, in many cases weaker than other syllables in those motifs. Syllables that elicited strong responses in non-SMS motifs did not necessarily elicit strong responses in the SMS motif, even if they preceded the SMS. There were no apparent acoustical features of the SMS or the preceding syllable that could account for the global synchronous response to song. (ABSTRACT TRUNCATED AT 400 WORDS)
Evaluation of a bottom-up action research approach in a centralised setting: HISP in Cuba

There has been a high rate of failure in the implementation of information systems in developing countries. Participative approaches have received a lot of attention as a way to ensure more appropriate systems with a greater rate of success. The authors of this paper spent 4 months working on designing and implementing a health information system as part of the health information system program (HISP) in the Cuban Ministry of Health using this type of approach. This paper describes the experiences there. The HISP has proven to be a relatively successful information system in India and in several African countries, aiming at empowering local health management and improving information use at the local level. The primary contribution to the current literature on participative approaches is the lessons learned in trying to use this approach in a highly centralized setting. General implications for system development and collaboration in Cuba are also discussed.
Penerapan Teori Pembelajaran Ausebel dalam Pembelajaran

Penulisan makalah ini bertujuan untuk mengetahui bagaimana penerapan teori belajar ausabel dalam pembelajaran. Adapun dalam penyusunan makalah ini penulis menggunakan metode kepustakaan, serta dengan cara elektronika yaitu dimana penulis mencari materi yang dibutuhkan melalui media elektronik, seperti internet. Dari pembahasan dapat disimpulkan bahwa teori pembelajaran Ausebel merupakan salah satu dari sekian banyak teori pembelajaran yang menjadi dasar dalam cooperative learning.