LLukas22/scidocs huggingface dataset:
GeoTeCS: Exploiting Geographical, Temporal, Categorical and Social Aspects for Personalized POI Recommendation (Invited Paper)

The maturity of the smartphone and the World Wide Web (WWW) technologies have driven many social network applications which have facilitated people to share text and multimedia contents. The social networks that facilitate users to share the check-in (location visit) information are known as the location-based social networks (LBSN)s and provide various information for a recommendation problem that span beyond the user-location ratings, and comments. For instance, the time of the check-in, the category of the POI, the distance of POI from the user's home, the user's friends' visit to that place, and so forth. It's worthwhile to explore and efficiently integrate such information for the desired purpose. A Point of Interest (POI) recommendation system uses a user's historical check-in information from LBSNs and recommends the list of places that are potential for future visits. Many of the existing POI recommendation systems have focused on either of the temporal (time of the check-in), the geographical/spatial (distance between check-in locations), or the social (friendship, and trust based) aspects. Incorporation of all the major aspects (the categorical, the geographical, the social, and the temporal) of check-ins into a single model is barely explored by other studies. In this paper, we propose a fused model termed GeoTeCS (Geographical Temporal Categorical and Social) for personalized location recommendation. GeoTeCS uses the matrix factorization technique and an extension of the Multi-center Gaussian Model (MGM) to model the users' historical check-in behavior by fusing the major check-in aspects. The contributions of this paper are: (i) it proposes a matrix factorization based location recommender that incorporates all the major aspects-the categorical, the geographical, the social, and the temporal aspects into a single model and (ii) it extensively evaluates the proposed model against two real-world datasets - the Gowalla, and the Weeplaces, to illustrate its effectiveness.
Predictive Current Control With Input Filter Resonance Mitigation for a Direct Matrix Converter

This paper presents a control method for direct matrix converters that combines the advantages of predictive control with active damping. The active damping is used to suppress the resonance of the input filter. A discrete-time model of the converter, the input filter, and the load parameters are used to predict the behavior of the input reactive power on the supply side and the output currents for each valid switching state. The control method selects the best commutation state, according to an optimizing algorithm and a cost function, in order to generate unity input displacement power factor with high-quality waveforms. The active damping method is based on a virtual harmonic resistor that damps the filter resonance. This paper shows simulated and experimental results to demonstrate that the proposed control method can generate good tracking of the output current references, achieve unity input displacement power factor, and reduce the input current distortion caused by the input filter resonance.
Caffeine enhances upper body strength in resistance-trained women

BACKGROUND
Research has indicated that low-to-moderate dosages of caffeine supplementation are ergogenic for sustained endurance efforts as well as high-intensity exercise. The effects of caffeine supplementation on strength-power performance are equivocal, with some studies indicating a benefit and others demonstrating no change in performance. The majority of research that has examined the effects of caffeine supplementation on strength-power performance has been carried out in both trained and untrained men. Therefore, the purpose of this study was to determine the acute effects of caffeine supplementation on strength and muscular endurance in resistance-trained women.


METHODS
In a randomized manner, 15 women consumed caffeine (6 mg/kg) or placebo (PL) seven days apart. Sixty min following supplementation, participants performed a one-repetition maximum (1RM) barbell bench press test and repetitions to failure at 60% of 1RM. Heart rate (HR) and blood pressure (BP) were assessed at rest, 60 minutes post-consumption, and immediately following completion of repetitions to failure.


RESULTS
Repeated measures ANOVA indicated a significantly greater bench press maximum with caffeine (p </= 0.05) (52.9 +/- 11.1 kg vs. 52.1 +/- 11.7 kg) with no significant differences between conditions in 60% 1RM repetitions (p = 0.81). Systolic blood pressure was significantly greater post-exercise, with caffeine (p < 0.05) (116.8 +/- 5.3 mmHg vs. 112.9 +/- 4.9 mmHg).


CONCLUSIONS
These findings indicate a moderate dose of caffeine may be sufficient for enhancing strength performance in resistance-trained women.
Time of day for exercise on blood pressure reduction in dipping and nondipping hypertension

Time of day (TOD) for exercise may influence blood pressure (BP) reduction in hypertension because of the diurnal variation of BP and the duration of BP reduction following a single bout of exercise. The purpose of this study was to observe the effects of TOD for exercise on ambulatory blood pressure reduction in dipping (n=5) and nondipping (n=9) hypertension (<10% drop in nighttime BP (BPnight)). Hypotheses: (1) evening exercise (PMex) would exhibit a greater BPnight reduction in Non-Dippers than Dippers, (2) morning exercise (AMex) would exhibit similar daytime BP (BPday) reduction in Dippers and Non-Dippers, (3) AMex would exhibit greater 24 h BP (BP24 h) reduction than PMex in Dippers, and (4) AMex and PMex would exhibit similar BP24 h reduction in Non-Dippers. BP responses to AMex (0600–0800 h; 30 min at 50% VO2peak) and PMex (1700–1900 h) were compared to each control day in a randomized design. Systolic (S) and diastolic (D) BP were averaged for BP24 h, BPday, and BPnight. A two-way ANOVA (dipping X time of exercise) using BP reduction with repeated measures were performed at P<0.05. Findings: (1) Non-Dippers respond to exercise despite of TOD for exercise, (2) PMex exhibited a greater SBPnight reduction in Non-Dippers than Dippers, (3) AMex exhibited similar SBPday reductions in Dippers and Non-Dippers, and (4) AMex and PMex exhibited similar SBP24 h reduction in Dippers and Non-Dippers. Dippers and Non-Dippers respond differently to TOD for exercise. The duration of the BP reduction persists up to 24 h after exercise.
Design of Carry Skip Adder Using Han Carlson Adder for Low Power and High Speed VLSI Applications

Adders are the basic building block in the arithmetic circuits. In order to achieve high speed and low power consumption a 32bit carry skip adder is proposed. In the conventional technique, a hybrid variable latency extension is used with a method called as parallel prefix network (Brent-Kung). As a result, larger delay along with higher power consumption is obtained, which is the main drawback for any VLSI applications. In order to overcome this, Han Carlson adder along with CSA is used to design parallel prefix network. Therefore it reduces delay and power consumption. The proposed structure is designed by using HSPICE simulation tool. Therefore, a lower delay and low power consumption can be achieved in the benchmark circuits. Keyword: High speed, low delay, efficient power consumption and size.
Teacher Enhancement Programs: A Perspective on the Last Four Decades.

This chapter presents a review of what is known from evaluation studies about the impacts of professional development programs in mathematics and science education, and their role in systemic reform. Following comparisons of program focus, structure, target population, and geographic scope, an overview of program goals is presented in terms of the following dimensions: (1) increasing teacher knowledge; (2) providing teacher renewal and the opportunity for networking; (3) increasing leadership and empowerment; (4) changing classroom practice; (5) increasing student interest and achievement; and (6) enhancing minority participation. The analysis shows that few studies have included close examination of what happens as a result of participation in professional development programs. Studies have typically focused on teacher satisfaction or other self-reported feedback. Even so, the evaluation climate has been changing, with increased emphasis being placed on evaluations that closely examine outcomes for teachers and for students, using a broader range of data gathering techniques and more robust evaluation designs. Professional development programs intended to improve teacher skills, knowledge, and practices are central to current strategies for reforming public education systems. Despite widely held beliefs that professional development programs are essential, there is little data to substantiate the impacts that such experiences make. This chapter provides an overview of what evaluation studies have told us about the efficacy of professional development as a tool for change. (Contains 40 references.)
Preliminary probiotic selection of dairy and human yeast strains

Several non-pathogenic microorganisms, which are classified in the status of Generally Recognized As Safe (GRAS), are used as probiotics, as live bacterial vaccine or as gene delivery vectors (Steidler, 2003; Braat et al., 2006). In recent years, much attention has been paid to the design of functional foods that contain probiotic microbial strains responsible for beneficial health effects on the host. Probiotics are living microorganisms which, upon ingestion in adequate amounts, confer health benefits to the host (FAO/WHO, 2002). The local or systemic health benefits of probiotics are achieved by bacterial antagonism that improves the intestinal function or microflora composition, and by immunomodulation, which help the healthy host to maintain a “physiological state of inflammation” in the intestine or to control several infectious, inflammatory and immunologic reactions (Maldonado Galdeano et al., 2007). Potential probiotic strains have to bear specific characteristics such as the ability to modulate immune responses and the antimicrobial activity (Ouwehand et al., 1999; Tuomola et al., 2001; FAO/WHO, 2002). In addition, probiotic strains should be safe and metabolically active within the gastrointestinal tract, resist gastric acid and bile and should be able to colonize the intestine, at least temporarily, by adhering to the intestinal epithelium. Control of serum cholesterol may also be considered among probiotic criteria. Probiotic effects are strain specific and may vary according to the properties of an individual strain. Moreover, in vivo testing is expensive and time conPreliminary probiotic selection of dairy and human yeast strains
Brains and brands : Developing mutually informative research in neuroscience and marketing

Cop dvances in neuroimaging technology have led to an explosion in the number of studies investigating the living human brain, and thereby our understanding of its structure and function.With the proliferation of dazzling images from brain scans in both scientific and popular media, researchers from other fields in the social and behavioral sciences have naturally become interested in the application of neuroimaging to their own research. Commercial enterprises have long been interested in the prospects of literally ‘‘getting inside the heads’’ of customers and partners, with a variety of goals in mind. Here we consider the ways in which scholars of consumer behavior may draw upon neuroscientific advances to inform their own research. We describe the motivation of neuroscientific inquiry from the point of view of neuroscientists, including an introduction to the technologies and methodologies available; correspondingly, we consider major questions in consumer behavior that are likely to be of interest to neuroscientists and why. Recent key discoveries in neuroscience are presented which will likely have a direct impact on the development of a neuromarketing subdiscipline and for neuroimaging as a marketing research technique. We discuss where and how neuroscience methodologies may reasonably be added to the research inventory of marketers. In sum, we aim to show not only that a neuromarketing subdiscipline may fruitfully contribute to our understanding of the biological bases of human behavior, but also that developing this as a productive research field will rest largely in framing marketing research questions in the braincentric mindset of neuroscientists. Copyright # 2008 John Wiley & Sons, Ltd.
A Comparative Study Between Deep Inferior Epigastric Artery Perforator and Thoracoacromial Venous Supercharged Deep Inferior Epigastric Artery Perforator Flaps.

BACKGROUND
Nowadays, microvascular breast reconstruction with abdominal perforator flap is a popular and widespread technique. However, venous congestion is a recurrent problem in deep inferior epigastric artery perforator (DIEP) flap survival. We present a venous supercharging technique using the thoracoacromial vein in DIEP free flap for breast reconstruction.


METHODS
A prospective randomized study was conducted in 52 patients undergoing a free DIEP flap breast reconstruction. Classical DIEP flap using 1 venous anastomosis (DIEP group) was compared with thoracoacromial venous supercharged DIEP flap using the ipsilateral superficial epigastric vein as a supercharging vein (DIEP-TAsc group). The endpoint was to assess the equivalence or the superiority of each technique. Statistical analysis was made with the t test and the χ test.


RESULTS
Venous congestion occurred in 16 (55.1%) patients in the DIEP group, and 3 (13%) patients in the DIEP-TAsc group (P = 0.001). The venous congestion rate was 36.5%. Fat necrosis was experienced by 14 (48.2%) patients in the DIEP group, and 4 (17.4%) patients in the DIEP-TAsc group (P = 0.020). The fat necrosis rate was 34.6%. Partial flap necrosis occurred in 13 (44.8%) patients in the DIEP group, and 2 (8.7%) patients in the DIEP-TAsc group (P = 0.004). The partial flap necrosis rate was 28.8%. Total flap necrosis occurred in 5 (17.2%) patients in the DIEP group, but no (0%) patient in the DIEP-TAsc group (P = 0.036). The total flap necrosis rate was 9.6%. The mean operative time was 405 minutes (range, 355-460) in the DIEP group, and 510 minutes (range, 405-590) in the DIEP-TAsc group (P < 0.001).


CONCLUSIONS
Thoracoacromial venous supercharging using the ipsilateral superficial inferior epigastric vein is a valuable method which considerably secures the DIEP free flap in breast reconstruction although it lengthens the operative procedure. EBM level: Level III.
Shear strengthening of reinforced concrete beams with CFRP

The current paper reviews existing design guidelines for strengthening beams in shear with carbon fibre reinforced polymer (CFRP) sheets and proposes a modification to Concrete Society Technical Report TR55. It goes on to present the results of an experimental programme which evaluated the contribution of CFRP sheets towards the shear strength of continuous reinforced concrete (RC) beams. A total of seven, two-span concrete continuous beams with rectangular cross-sections were tested. The control beam was not strengthened, and the remaining six were strengthened with different arrangements of CFRP sheets. The experimental results show that the shear strength of the beams was significantly increased by the CFRP sheet and that it is beneficial to orientate the FRP at 458 to the axis of the beam. The shear strength of FRP strengthened beams is usually calculated by adding individual components of shear resistance from the concrete, steel stirrups and FRP. The superposition method of design is replaced in Eurocode 2 by the variable angle truss model in which all the shear is assumed to be resisted by the truss mechanism. The current paper proposes a methodology for strengthening beams with FRP that is consistent with Eurocode 2.
Potential of chemotherapy–herb interactions in adult cancer patients

The purpose of this study was to examine the specific herbs or vitamins (HV) used by patients receiving chemotherapy. Specifically, the following aspects were investigated: (1) HV use among adult cancer patients receiving chemotherapy, (2) the frequency of potential chemotherapy–HV interactions, (3) communication patterns between oncologists and their cancer patients taking HV, and (4) patients’ reactions to two hypothetical scenarios of chemotherapy–HV interactions. Adult cancer patients receiving chemotherapy at a university-based outpatient clinic over a 1-month period were sent a validated eight-page questionnaire regarding the use of complementary/alternative medicine, focusing on HV use. A total of 76 patients participated; relevant medical information was obtained from study participants’ charts. The chemotherapy received was compared with HV use to assess for potentially detrimental chemotherapy–HV interactions. HV use in patients receiving chemotherapy was common (78%), with 27% of the study participants being at risk of a detrimental chemotherapy–HV interaction. Most patients (>85%) would discontinue their HV or ask their medical oncologist for advice if a detrimental chemotherapy–HV interaction was suspected. Although most patients discussed HV use with their oncologist, the majority also relied on their friends and naturopathic physician for information regarding HV. Considerable potential exists for detrimental chemotherapy–HV interactions. Methods to improve communication of HV use between cancer patients receiving chemotherapy and health-care practitioners are necessary to identify and minimize the risk of these interactions.
Frequency-Shift Keying Demodulation and Manchester-Bit Decoding Using a Digital Radio and Digital Signal Processing Techniques

This paper discusses a method of frequency-shift keying (FSK) demodulation and Manchester-bit decoding using a digital signal processing (DSP) approach. The demodulator is implemented on a single-channel high-speed digital radio board. The board architecture contains a high-speed A/D converter, a digital receiver chip, a host DSP processing chip, and a back-end D/A converter [2]. The demodulator software is booted off an on-board EPROM and run on the DSP chip [3]. The algorithm accepts complex digital baseband data available from the front-end digital receiver chip [2]. The target FSK modulation is assumed to be in the RF range (VHF or UHF signals). A block diagram of the single-channel digital radio is shown in Figure 1 [2].
Rough sets theory for multicriteria decision analysis

The original rough set approach proved to be very useful in dealing with inconsistency problems following from information granulation. It operates on a data table composed of a set U of objects (actions) described by a set Q of attributes. Its basic notions are: indiscernibility relation on U, lower and upper approximation of either a subset or a partition of U, dependence and reduction of attributes from Q, and decision rules derived from lower approximations and boundaries of subsets identi®ed with decision classes. The original rough set idea is failing, however, when preference-orders of attribute domains (criteria) are to be taken into account. Precisely, it cannot handle inconsistencies following from violation of the dominance principle. This inconsistency is characteristic for preferential information used in multicriteria decision analysis (MCDA) problems, like sorting, choice or ranking. In order to deal with this kind of inconsistency a number of methodological changes to the original rough sets theory is necessary. The main change is the substitution of the indiscernibility relation by a dominance relation, which permits approximation of ordered sets in multicriteria sorting. To approximate preference relations in multicriteria choice and ranking problems, another change is necessary: substitution of the data table by a pairwise comparison table, where each row corresponds to a pair of objects described by binary relations on particular criteria. In all those MCDA problems, the new rough set approach ends with a set of decision rules playing the role of a comprehensive preference model. It is more general than the classical functional or relational model and it is more understandable for the users because of its natural syntax. In order to workout a recommendation in one of the MCDA problems, we propose exploitation procedures of the set of decision rules. Finally, some other recently obtained results are given: rough approximations by means of similarity relations, rough set handling of missing data, comparison of the rough set model with Sugeno and Choquet integrals, and results on equivalence of a decision rule preference model and a conjoint measurement model which is neither additive nor transitive. Ó 2001 Elsevier Science B.V. All rights reserved.
Floating point datapath synthesis for FPGAs

Floating point arithmetic is used extensively in many applications across multiple market segments. While high performance IEEE754 floating point cores are available for FPGAs, a large datapath consisting of multiple cores is resource intensive, with often poor system performance. This paper will introduce a new approach to floating point datapath design for FPGAs, using fused datapath synthesis. The result is a more balanced, high performance implementation, typically saving 50% in both logic resources and latency. Using Stratix reg 3SE260 devices, 50 GFLOPs double precision and 125 GFLOPs single precision can be realized.
Predictive value of orthopedic evaluation and injury history at the NFL combine.

PURPOSE
The National Football League (NFL) holds an annual combine to evaluate college football athletes likely to be drafted for physical skills, to review their medical history, and to perform a physical examination. The athletes receive an orthopedic grade on their ability to participate in the NFL. The purpose of this study was to test the hypothesis that this orthopedic rating at the combine predicts the percent of athletes who play in the NFL and the length of their careers.


METHODS
A database for all athletes reviewed at the combine by the medical staff of one team from 1987 to 2000 was created and linked to a data set containing the number of seasons and the games played in the NFL for each athlete. Players were grouped by orthopedic grade: high, low, and orthopedic failure. The percent of players who played in the NFL and the mean length of their careers was calculated and compared for these groups.


RESULTS
The orthopedic grade assigned at the NFL combine correlated with the probability of playing in the league. Whereas 58% of athletes with a high grade and 55% of athletes with a low grade played at least one game, only 36% of athletes given a failing grade did so (P < 0.001). Players with a high grade had a mean career of 41.5 games compared with 34.2 games for players with a low grade and 19.0 games for orthopedic failures.


CONCLUSION
This is the first study to report on the predictive value of a grading system for college athletes before participation in professional sports. Other professional sports may benefit from using a similar grading system for the evaluation of potential players.