Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship of postpartum interval to estrus, body condition score, milk yield and blood biochemical parameters in Surti buffaloes (Bubalus bubalis)

The aim of the present investigation was to find out the relationship among postpartum interval to estrus, body condition score, milk yield and blood biochemical parameters of Surti buffaloes (Bubalus bubalis). The study was conducted on sixteen clinically healthy Surti buffaloes (parity 1-7) with normal parturition. These animals were divided into two groups on the basis of their postpartum interval to estrus (PPIE). Group 1 animals had PPIE â‰¤ 50 days whereas group 2 had PPIE > 50 days. Body condition score (BCS), milk yield and Blood samples were collected by jugular venipuncture on days starting from 6th day after calving thereafter at fortnight interval till 90th day postpartum. Blood serum parameters such as glucose, total protein, blood urea, creatinine, cholesterol, triglyceride, progesterone and estrogen were measured. Perusal of data revealed that animals having higher BCS on the day of estrus had significantly (Pâ‰¤0.05) shorter PPIE. There was non-significant effect of daily and cumulative 100 days milk yield on PPIE. Serum concentration of glucose and creatinine was significantly (Pâ‰¤0.05) higher for group 1 animals at most of the stages. There was non-significant difference between serum concentration of total protein, blood urea nitrogen and cholesterol between both the groups. Progesterone and Estradiol-17 I² concentrations were significantly (Pâ‰¤0.05) higher in group 1 animals than group 2 animals at different stages of this study.
Food consumption and roosting behaviour of Great Grey Shrikes Lanius excubitor wintering in south-western Finland

For diurnal predators the short time of winter daylight may limit the possibilities to feed and hunt. In this field study, these aspects, as well as roosting behaviour, were evaluated in wild Great Grey Shrikes (Lanius e. excubitor). The main roost-sites were large junipers (Juniperus communis) and willows (Salix sp.). Daily mean amount of captured prey varied between 36.3–59.8 g and the daily mean food consumption was 44.1–62.6 g, both parameters being lowest in midwinter. In the diet, Microtus-voles dominated in the autumn and late winter whereas mice (mainly Harvest Mouse Micromys minutus) were most abundant in midwinter. Increased capture efficacy rather than increased hunting efforts enabled the shrikes to catch a fairly constant number of prey / day (2.1–3.1), independent on time available for hunting. With decreased amount of daylight the shrikes showed also signs of increased hunting activities in morning and evening twilight. The shrikes responded to shortened daylight time by decreasing the meal-to-meal interval and, as a result the portion of the daylight time used for feeding increased as the photoperiod shortened. Thus, the shrikes showed efforts to adjust their foraging and feeding behaviour in order to reach a stable prey capture rate and food consumption without increased energy costs.
Material characterization and modeling of head for dynamic simulations

Summary The modeling of the response of the human head to blast like loading is of importance for many applications including the study of traumatic brain injury resulting from improvised explosive devices. One key issue in simulating the response of the head is to have models that are characteristic of the response of the head and its components under these conditions. We review different characterization efforts for evaluating the response of the skin, skull, and brain within this window of response and use these results to develop models appropriate for the characterization of each component. We discuss efforts made to construct an artificial head model capable of simulating similar results in a blast environment.
Characterizing fault-plume intersection probability for geologic carbon sequestration risk assessment

Characterizing fault-plume intersection probability for geologic carbon sequestration risk assessment Preston D. Jordan a *, Curtis M. Oldenburg a , and Jean-Philippe Nicot b a Lawrence Berkeley National Laboratory, 1 Cyclotron Road MS90-1116, Berkeley, CA 94706 USA b Bureau of Economic Geology, University of Texas at Austin, PO Box X, Austin, TX 78713 USA Abstract Leakage of CO 2 out of the designated storage region via faults is a widely recognized concern for geologic carbon sequestration. The probability of such leakage can be separated into the probability of a plume encountering a fault and the probability of flow along such a fault. In the absence of deterministic fault location information, the first probability can be calculated from regional fault population statistics and modelling of the plume shape and size. In this study, fault statistical parameters were measured or estimated for WESTCARB’s Phase III pilot test injection in the San Joaquin Valley, California. Combining CO 2 plume model predictions with estimated fault characteristics resulted in a 3% probability that the CO 2 plume will encounter a fault fully offsetting the 180 m (590 ft) thick seal. The probability of leakage is lower, likely much lower, as faults with this offset are probably low-permeability features in this area. Keywords: geologic carbon sequestation, fault leakage risk, fault encounter probability 1. Introduction The potential for leakage of CO 2 via fault zones is an area of considerable uncertainty for geological storage of CO 2 [1]. The probability of leakage can be separated into the probability of CO 2 encountering a fault and the probability of flow out of the storage region via that fault. Fault zone properties vary considerably, with some fault zones forming recognized conduits for fluid flow, as commonly evidenced by springs co-located with fault zones, and others forming barriers to fluid flow, as evidenced by many hydrocarbon reservoirs created in part by sealing faults. There is currently little consensus regarding a methodology for characterizing fault zone properties in the deep subsurface with respect to their potential as leakage pathways. In contrast, research regarding fault population statistics has reached a moderate level of consensus. While there are certainly further interesting questions and unsettled issues in this field, it is sufficiently mature to be constructively applied to risk assessment involving potential fault zone leakage of CO 2 from prospective storage reservoirs. In this study, we present a method for using fault population statistics to estimate the probability of a CO 2 plume encountering a fault, and apply this method to * Corresponding author. Tel. : 00 1 510 486-6774; fax: 00 1 510 486-5686. E-mail address: pdjordan@lbl.gov.
Analysis and Design of Broadband Simultaneous Wireless Information and Power Transfer (SWIPT) System Considering Rectifier Effect

The deployment of internet of things (IOT) devices in several applications is limited by their need of having batteries as a power source. This has led many researchers to make efforts on simultaneous wireless information and power transfer (SWIPT) systems design. Increasing the bandwidth provides higher capacity; however, due to the narrowband response of conventional power transfer subsystems, power delivery is decreased. In order to design an optimum wideband SWIPT system, first, a realistic model of the system, including antennas and rectifier, should be developed. Then, proper methods to increase the bandwidth of subsystems for optimum power delivery can be proposed. In this paper, a wideband SWIPT system (300 MHz bandwidth at the center frequency of 1.44 GHz) while considering realistic limitations of antennas and rectifiers is designed. To optimize the system performance, a novel power allocation method is proposed. Using this algorithm, Pareto fronts of Shannon channel capacity versus power delivery in three scenarios (broadband antennas without considering rectifier, broadband antennas with narrowband rectifier and broadband antennas with broadband rectifier) are compared. The results show that, without considering the realistic behaviour of the subsystems, the performance is largely overestimated. Furthermore, this model allows for designers to optimize each subsystem directly and assess its effect on the overall SWIPT system performance.
Transcranial Direct Current Stimulation (tDCS) Therapy for Major Depressive Disorder in the HIV Population: A Safe, Effective Noninvasive Promising Treatment as Compared to Conventional Antidepressant Therapy

Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders in the HIV-positive population. For long periods of time, MDD has been treated with conventional antidepressant therapy in these patients. Novel Antidepressant Therapy for Major Depression in HIV-infected adults is associated with various side effects such as sleep disturbance, nervousness, insomnia, weight loss, and sexual dysfunction that could lead to non-adherence to antiretroviral therapy. To uphold compliance and prevent patients from serious adverse effects of antidepressant therapy; emerging noninvasive innovative transcranial direct current stimulation (tDCS) could serve as a better alternative. tDCS has shown promising results; it is an effective, safe therapeutic strategy with an immediate onset of action as compared to conventional SSRI therapy. The application of tDCS is an easy one and the device for conducting this treatment modality is highly portable. Along with its convenient application, subjects who have been treated with tDCS in study settings, found it tolerable with minimum discomfort and without developing chronic and profound adverse effects. The role of transcranial direct current stimulation therapy is not limited to addressing solely the depressive component in the MDD population; however, it could be critical in assisting these patients by combating their co-morbidities of alcoholism and substance abuse by decreasing their cravings. Furthermore, tDCS has proven itself in improving the cognition in this patient population. This paper will further review this innovative treatment option and will also suggest tDCS to be studied in larger clinical trials as it could serve a huge role in developing better understanding of patient experiences regarding its tolerability, safety, and efficacy. Similarly, it will also provide important evidence to clinicians for the development of better practices in this area.
Optimization and clinical validation of a Real-Time PCR protocol for direct detection of Trichomonas vaginalis in pooled urine samples

Background and Objectives: A new Real- Time PCR protocol for the detection of Trichomonas vaginalis in pooled urine samples has been optimized and validated. Materials and Methods: The amplification protocol, targeting a 2kb repeated gene in the T. vaginalis genome, was optimized by varying PCR parameters. As a reference method, a Real-Time PCR protocol targeting the beta-tubulin gene (Y. Versluis et al, 2006, Int J STD AIDS 17:642) was used. Clinical validation was performed with pooled urine samples obtained from patients of the sexually transmitted diseases clinic of a university hospital (n=963; from February – June 2007). Results: Positive samples with the new optimized technique is 1.1% (n=10), while the beta-tubulin real-time PCR method generated four positives (0.3%). Conclusion: The new RT- PCR protocol is a sensitive (1.000) and specific (0.993) procedure to detect and to identify T. vaginalis in urine samples.
Phytochemical composition, antioxidant activity and cytotoxicity of Blumea lacera Linn. from two different habitats

Blumea lacera collected from JU campus and the Sundarbans showed strong presence of carbohydrates, flavonoids, trace amount of alkaloids, weak presence of some glucosides, terpenoids and steroids following preliminary phytochemical screening. DPPH free radical scavenging activity increased with the increase of concentration of methanol, ethyl acetate and n -hexane fractions of both the samples. Methanol and ethyl acetate fractions of JU sample showed strong scavenging activity of DPPH free radical. Concentration dependent increment in percent mortality of brine shrimp nauplii was observed in all the fractions of both the samples. Ethyl acetate and methanol fractions of JU sample showed less cytotoxicity than that of Sundarbans samples. Therefore, methanol and ethyl acetate fractions of JU sample should be the choice to identify new bioactive compound(s) in the future. Jahangirnagar University J. Biol. Sci. 3 (1): 37-45, 2014 (June)
In vivo measurements of brain trapping of 11 C-labelled αα -methyl- L -tryptophan during acute changes in mood states

Background: Little is known about the specific contribution of serotonin (5-HT) to the neurobiology of emotion and mood in healthy people. In an exploratory study, we sought to investigate the effect of rapid and sustained changes of emotional state on the trapping of 11 C-labelled α -methyl- L -tryptophan ( 11 C- α Mtrp) used as a proxy of 5-HT synthesis, using positron emission tomography (PET). Method: In a within-subject repeated-measure design, participants recalled autobiographical memories to self-induce sadness, happiness and a neutral emotional state during scanning to measure brain trapping of 11 C- α Mtrp. Three separate scan acquisitions, counterbalanced for order across subjects, took place at the McConnell Brain Imaging Center, Montréal. Results: Whole brain analysis revealed positive and negative correlations between experienced levels of emotions and 11 C- α Mtrp trapping in the right anterior cingulate cortex. Conclusion: These findings point to a mechanism whereby state-related changes in a proxy of 5-HT synthesis underscore aspects of the self-regulation of normal mood. la capture de l’ 11 C- α Mtrp. Trois acquisitions en TEP, contrebalancés à travers les sujets, ont été réalisées au Centre d’Imagerie Cérébrale McConnell de Montréal. Résultats : Une analyse du cerveau complet a révélé des corrélations positives et négatives dans le cortex antérieur cingulaire droit entre la capture d’ 11 C- α Mtrp et l’intensité émotionnelle subjective. Conclusion : Ses résultats suggèrent l’existence d’un mécanisme par lequel les variations du taux de capture de l’ 11 C- α Mtrp reliés aux changements d’états émotionnels mettent en évidence des aspects de l’autorégulation de l’humeur normale.
Performance Analysis and Cost-Performance Tradeoffs of a High Performance Partially Buffered Crossbar Switch

Why is it hard to build high-speed routers? Because high-speed routers are like marriages; they are unpredictable, provide no guar- antees, and become vulnerable in adversity. High-speed networks including the Internet backbone suffer from a well-known problem; packets arrive on high-speed routers much faster than commodity memory can support. On a 10 Gb/s link, packets can arrive ev- ery 32 ns, while memory can only be accessed once every 50 ns. If we are unable to bridge this performance gap, then (1) We can- not create Internet routers that reliably support links >10 Gb/s. (2) Routers cannot support the needs of real-time applications such as voice, video conferencing, multimedia, gaming, etc., that require guaranteed performance. Network operators expect certain perfor- mance characteristics; for example, if the arrival rate is less than the router’s advertised capacity, they can reasonably assume the router can handle the traffic. Somewhat surprisingly, no commercial router can do this today! The emphasis is put on the switching architecture of a router. This thesis lays down a theoretical foundation for the Partially Buffered Crossbar switches and is about managing and resolving the prefer- ences and contention for memory between packets from participating inputs and outputs in a switch. By combining the theory of fluid models, Lyapunov functions and the pigeonhole principle, the requirements for devising practical algorithms which can provide guarantees and emulate the performance of the ideal Output Queued switch and approximate the optimal Maximum Weight Matching scheduler are drawn up. The solutions described in this thesis, relax the memory access and band- width constraint, in fact, there is no better switching architecture described till now in terms of memory requirements and practicality regarding its achieved performance. Moreover, this thesis derives the first study of scheduling unicast and multicast traffic simultaneously in a Partially Buffered Crossbar switch.
The Analysis of Alpha Beta Pruning and MTD(f) Algorithm to Determine the Best Algorithm to be Implemented at Connect Four Prototype

Connect Four is a two-player game which the players take turns dropping discs into a grid to connect 4 of one’s own discs next to each other vertically, horizontally, or diagonally. At Connect Four, Computer requires artificial intelligence (AI) in order to play properly like human. There are many AI algorithms that can be implemented to Connect Four, but the suitable algorithms are unknown. The suitable algorithm means optimal in choosing move and its execution time is not slow at search depth which is deep enough. In this research, analysis and comparison between standard alpha beta (AB) Pruning and MTD(f) will be carried out at the prototype of Connect Four in terms of optimality (win percentage) and speed (execution time and the number of leaf nodes). Experiments are carried out by running computer versus computer mode with 12 different conditions, i.e. varied search depth (5 through 10) and who moves first. The percentage achieved by MTD(f) based on experiments is win 45,83%, lose 37,5% and draw 16,67%. In the experiments with search depth 8, MTD(f) execution time is 35, 19% faster and evaluate 56,27% fewer leaf nodes than AB Pruning. The results of this research are MTD(f) is as optimal as AB Pruning at Connect Four prototype, but MTD(f) on average is faster and evaluates fewer leaf nodes than AB Pruning. The execution time of MTD(f) is not slow and much faster than AB Pruning at search depth which is deep enough.
In Vitro Evolution of Fungicides and Bioagent against Soybean Plant Pathogens

A study was conducted to evaluate the effect of bio-control agent and chemical pesticides against soybean plant pathogens, such as Colletotrichum gloeosporioides, Alternaria alternata, Myrothecium roridum and Colletotrichum dematium . Dual culture of pathogen and Trichoderma harzianum revealed that it showed maximum inhibition against the isolates of Alternaria alternate ( 52.32% ) followed by Colletotrichum gloeosporioides ( 44.12% ), Myrothecium roridum ( 43.94%) and Colletotrichum dematium ( 29.65%). Similar study was conducted with the chemical pesticide Propiconazole, Hexaconazole, Azoxystrobin it was found that though chemical pesticide showed maximum inhibition than the Trichoderma harzianum but by compare the beneficial results of Trichoderma and chemical pesticides the use of Trichoderma based products is safe and ecofriendly.
Bir Bölgenin Destinasyon İmajı ve Sosyal Ağların Reklam için Etkin Kullanımı: İzmir Sığacık Örneği

Title Destination Image and Efficient Use of Social Networks for Advertising of a Region: Izmir Sigacik Example Abstract Social networks have become a part of our daily lives. The number of contents increases with increasing number of social network users, creating a rich source of research data. Positioning strategies enable more efficient marketing of products, services or tourism areas. In addition, the image of a product over consumers have become important to activities such as marketing and increasing the number of customers. Furthermore, using social networks to promote the efficiency of marketing activities are significant to contemporary marketing strategies. This study was aimed at determining the destination image by utilizing Instagram posts of the Sigacik area located in Seferihisar, Izmir as the source of data. The study also aimed to identify the factors that acted on advertising efficiency for promoting Sigacik on social networks based on user and post data of users who shared images of the area on Instagram. Editor: H. Kemal Ilter, Ankara Yildirim Beyazit University, Turkey Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018 Copyright: © 2018 IMISC Koruyan, Karagoz. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Flight range estimation of migrant Yellow-browed Warblers Phylloscopus inornatus on the East Asian Flyway

ABSTRACT Fat loads were quantified for 2125 Yellow-browed Warblers Phylloscopus inornatus trapped at a stop-over site in Far East Russia during autumn migration. Flight ranges of 660–820 km were estimated for the fattest individuals, suggesting that they would need to stop for refuelling at least six times to reach their wintering areas in South East Asia.
Relationship between sweet orange yield and intensity of Citrus Variegated Chlorosis

Citrus Variegated Chlorosis (CVC) is currently present in approximately 40% of citrus plants in Brazil and causes an annual loss of around 120 million US dollars to the Brazilian citrus industry. Despite the fact that CVC has been present in Brazil for over 20 years, a relationship between disease intensity and yield loss has not been established. In order to achieve this, an experiment was carried out in a randomized block design in a 3 × 2 factorial scheme with 10-year-old Natal sweet orange. The following treatments were applied: irrigation with 0, 50 or 100% of the evapotranspiration of the crop, combined with natural infection or artificial inoculation with Xylella fastidiosa, the causal agent of CVC. The experiment was evaluated during three seasons. A negative exponential model was fitted to the relationships between yield versus CVC severity and yield versus Area Under Disease Progress Curve (AUDPC). In addition, the relationship between yield versus CVC severity and canopy volume was fitted by a multivariate exponential model. The use of the AUDPC variable showed practical limitations when compared with the variable CVC severity. The parameter values in the relationship of yield–CVC severity were similar for all treatments unlike in the multivariate model. Consequently, the yield–CVC intensity relationship (with 432 data points) could be described by one single model: y = 114·07 exp(−0·017 x), where y is yield (symptomless fruit weight in kg) and x is disease severity (R2 = 0·45; P < 0·01).