LLukas22/scidocs huggingface dataset:
Comparison of single incision laparoscopic totally extraperitoneal and laparoscopic totally extraperitoneal inguinal hernia repair: initial experience.

BACKGROUND AND PURPOSE
Laparoendoscopic single-site (LESS) surgery has been implemented recently in many laparoscopic (LAP) surgical procedures. We report our initial experience with LESS totally extraperitoneal (LESS-TEP) inguinal hernia repair in relation to conventional LAP-TEP.


PATIENTS AND METHODS
Between November 2008 and May 2009, 25 LESS-TEP repairs of inguinal hernia and 29 LAP-TEP repairs of inguinal hernia were performed in 44 patients. Data regarding patient demographics, type of hernia, operative time, complications, postoperative hospital stay, and recurrence were prospectively collected and analyzed.


RESULTS
All 44 patients were men, aged 17 to 84 years. Of 44 men, 3 had bilateral inguinal hernias in the LESS-TEP group and 7 in the LAP-TEP group. The operative time for bilateral LESS-TEP was 60 ± 15.3 min (range 40-70 min) and 40 ± 21.6 min (range 20-100 min) for unilateral LESS-TEP, while for bilateral hernia LAP-TEP it was 60 ± 24.8 min (range 40-100 min) and for unilateral LAP-TEP it was 50 ± 14.2 min (range 40-80 min). Comparison of operative times in the LESS-TEP and LAP-TEP groups between the first and second half cohort resulted in significant reduction of operative time in the second half of the LESS-TEP group (P<0.001). There were no intraoperative complications. Discharge was within 72 hours for most patients in both groups. There was one early recurrence (mesh displacement) during a median follow-up period of 11.5 ± 2.5 months in the LESS-TEP group and no recurrences during the 11 ± 1.6 months in the LAP-TEP group.


CONCLUSION
In our experience, LESS-TEP is a safe and feasible procedure with a short learning curve. In all analyzed parameters, it is comparable to conventional LAP-TEP. Further studies that compare LESS-TEP and conventional multiport LAP-TEP repairs with long-term follow-up evaluation are needed to confirm the initial experience.
Semiparametric estimation of Value at Risk

Value at Risk (VaR) is a fundamental tool for managing market risks. It measures the worst loss to be expected of a portfolio over a given time horizon under normal market conditions at a given confidence level. Calculation of VaR frequently involves estimating the volatility of return processes and quantiles of standardized returns. In this paper, several semiparametric techniques are introduced to estimate the volatilities of the market prices of a portfolio. In addition, both parametric and nonparametric techniques are proposed to estimate the quantiles of standardized return processes. The newly proposed techniques also have the flexibility to adapt automatically to the changes in the dynamics of market prices over time. Their statistical efficiencies are studied both theoretically and empirically. The combination of newly proposed techniques for estimating volatility and standardized quantiles yields several new techniques for forecasting multiple period VaR. The performance of the newly proposed VaR estimators is evaluated and compared with some of existing methods. Our simulation results and empirical studies endorse the newly proposed time-dependent semiparametric approach for estimating VaR.
Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce

The rapid growth of e-commerce has caused product overload where customers on the Web are no longer able to effectively choose the products they are exposed to. To overcome the product overload of online shoppers, a variety of recommendation methods have been developed. Collaborative filtering (CF) is the most successful recommendation method, but its widespread use has exposed some well-known limitations, such as sparsity and scalability, which can lead to poor recommendations. This paper proposes a recommendation methodology based on Web usage mining, and product taxonomy to enhance the recommendation quality and the system performance of current CF-based recommender systems. Web usage mining populates the rating database by tracking customers’ shopping behaviors on the Web, thereby leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. Several experiments on real e-commerce data show that the proposed methodology provides higher quality recommendations and better performance than other CF methodologies. q 2003 Elsevier Ltd. All rights reserved.
Perceived stress among male medical students in Egypt and Saudi Arabia: effect of sociodemographic factors

BACKGROUND AND OBJECTIVES
In Arab countries, epidemiological data about psychological morbidity among medical undergraduate students are scarce. This study sought to determine whether there was a difference in perceived stress levels of male medical students at Mansoura University, Egypt, compared with male medical students at King Faisal University, Saudi Arabia.


METHODS
The sample consisted of 304 male medical students in Egypt and and 284 male medical students in Saudi Arabia. The self-reported questionnaire covered four categories, including 15 items, on sources of stress (stressors). The perceived stress scale and hospital anxiety and depression scale were used to measure stress, anxiety and depression.


RESULTS
There was no significant difference between the two groups in number of stressors. However, Egyptian students were more likely to cite relationship, academic and environmental problems than Saudis. The prevalence of high stress was nearly equal in both groups. However, anxiety and depression were significantly higher among Egyptian than Saudi students. A logistic regression analysis of independent predictors of severe stress among both groups combined revealed that a satisfactory family income and university-graduated father were independent protective factors. The independent risk predictors were anxiety and number of stressors.


CONCLUSIONS
Stress, anxiety and depression are frequent among medical students. Counseling and preventive mental health services should be an integral part of the routine clinical facilities caring for medical students.
On the performance of real-time multi-item request scheduling in data broadcast environments

On-demand broadcast is an effective wireless data dissemination technique to enhance system scalability and capability to handle dynamic data access patterns. Previous studies on time-critical on-demand data broadcast were conducted under the assumption that each client requests only one data item at a time. With the rapid growth of time-critical information dissemination services in emerging applications, there is an increasing need for systems to support efficient processing of real-time multi-item requests. Little work, however, has been done. In this paper, we study the behavior of six representative single-item request based scheduling algorithms in time-critical multi-item request environments. The results show that the performance of all algorithms deteriorates when dealing with multi-item requests. We observe that data popularity, which is an effective factor to save bandwidth and improve performance in scheduling single-item requests, becomes a hindrance to performance in multi-item request environments. Most multi-item requests scheduled by these algorithms suffer from a starvation problem, which is the root of performance deterioration. Based on our analysis, a novel algorithm that considers both request popularity and request timing requirement is proposed. The performance results of our simulation study show that the proposed algorithm is superior to other classical algorithms under a variety of
Self-interruptions in discretionary multitasking

Human multitasking is often the result of self-init iated interruptions in the performance of an ongoing task. These self-interruptions occur in the absence of external triggers such as electronic alerts or email notifications. Compared to externally induced interruptions, self-interr uptions have not received enough research attention. To address this gap, this paper develops a typology of self-interruptions based on the integration of Flow Theory and Self-regulation Theory . In this new typology, the two major categories stem from positive and negative feelings of task progress and prospects of goal attainment. The proposed classification is validated in an experimental multitasking environmen t with pre-defined tasks. Empirical findings indicate that negat ive feelings trigger more self-interruptions than positive feelings. In general, more self-interr uptions result in lower accuracy in all tasks. The results suggest that negative internal triggers of self-interruptions unleash a downward spiral that may degrade performance. 2013 Elsevier Ltd. All rights reserved.
Aerosols in Dental Practice- A Neglected Infectious Vector

An aerosol is a suspension of solid or liquid particles in air or other gaseous environment. Sources of bacterial aerosols exist within and outside the dental clinic. The generation of bacterial aerosols and splatters appears to be highest during dental procedures. The use of rotary dental and surgical instruments and air-water syringes generates visible infectious spray, that enclose large-particle spatter of water, saliva, microorganisms, blood, and other debris. Several infectious diseases could be transmitted to staff and patients by airborne bacterial and other contaminants in the dental clinic. The vigilant use of barriers along with appropriate immunizations procedures could safe guard the dental fraternity from the ill-effects of the aerosols.
Candidacy for kidney transplantation of older adults.

OBJECTIVES
To develop a prediction model for kidney transplantation (KT) outcomes specific to older adults with end-stage renal disease (ESRD) and to use this model to estimate the number of excellent older KT candidates who lack access to KT.


DESIGN
Secondary analysis of data collected by the United Network for Organ Sharing and U.S. Renal Disease System.


SETTING
Retrospective analysis of national registry data.


PARTICIPANTS
Model development: Medicare-primary older recipients (aged ≥ 65) of a first KT between 1999 and 2006 (N = 6,988). Model application: incident Medicare-primary older adults with ESRD between 1999 and 2006 without an absolute or relative contraindication to transplantation (N = 128,850).


MEASUREMENTS
Comorbid conditions were extracted from U.S. Renal Disease System Form 2728 data and Medicare claims.


RESULTS
The prediction model used 19 variables to estimate post-KT outcome and showed good calibration (Hosmer-Lemeshow P = .44) and better prediction than previous population-average models (P < .001). Application of the model to the population with incident ESRD identified 11,756 excellent older transplant candidates (defined as >87% predicted 3-year post-KT survival, corresponding to the top 20% of transplanted older adults used in model development), of whom 76.3% (n = 8,966) lacked access. It was estimated that 11% of these candidates would have identified a suitable live donor had they been referred for KT.


CONCLUSION
A risk-prediction model specific to older adults can identify excellent KT candidates. Appropriate referral could result in significantly greater rates of KT in older adults.
Electroanatomic versus fluoroscopic mapping for catheter ablation procedures: a prospective randomized study.

INTRODUCTION
The aim of this prospective randomized study was to compare the routine use of electroanatomic imaging (CARTO) with that of conventional fluoroscopically guided activation mapping (conventional) in an unselected population referred for catheter ablation. We sought to compare the two approaches with respect to procedure outcome and duration, radiation exposure, and cost.


METHODS AND RESULTS
All patients undergoing catheter ablation (with the exception of complete AV nodal ablation) were prospectively randomized to either a CARTO or conventional procedure for mapping and ablation. One hundred two patients were randomized. Acute procedural success was similar with either strategy (CARTO vs conventional 43/47 vs 51/55, P > 0.5), as was procedure duration (144 [58] vs 125 [48] min, P = 0.07 (mean [SD]). CARTO was associated with a substantial reduction in fluoroscopy time (9.3 [7.6] vs 28.8 [19.5] min, P < 0.001) and radiation dose (6.2 [6.1] vs 20.8 [32.7] Gray, P = 0.003). CARTO cases used fewer catheters (2.5 [0.7] vs 4.4 [1.1], P < 0.001), but catheter costs were higher (13.8 vs 9.3 units, P < 0.001, where one unit is equivalent to the cost of a nonsteerable quadripolar catheter).


CONCLUSION
For all catheter ablation procedures, even when a center's "learning curve" for CARTO is included, procedure duration and outcome are similar for CARTO and conventional procedures. CARTO is associated with drastically reduced fluoroscopy time and radiation dose. Although fewer catheters are used with CARTO, catheter costs remain higher.
Surgical Repair of an Impalement Genital Injury from an Inline Skating Accident in a 7-Year-Old Prepubertal Girl: A Case Report.

BACKGROUND
In girls who present with vaginal trauma, sexual abuse is often the primary diagnosis. The differential diagnosis must include patterns and the mechanism of injury that differentiate accidental injuries from inflicted trauma.


CASE
A 7-year-old prepubertal girl presented to the emergency department with genital bleeding after a serious accidental impaling injury from inline skating. After rapid abduction of the legs and a fall onto the blade of an inline skate this child incurred an impaling genital injury consistent with an accidental mechanism. The dramatic genital injuries when repaired healed with almost imperceptible residual evidence of previous trauma.


SUMMARY AND CONCLUSION
To our knowledge, this case report represents the first in the medical literature of an impaling vaginal trauma from an inline skate and describes its clinical and surgical management.
Cryptocurrency Mining - Transition to Cloud

Cryptocurrency, a form of digital currency that has an open and decentralized system and uses cryptography to enhance security and control the creation of new units, is touted to be the next step from conventional monetary transactions. Many cryptocurrencies exist today, with Bitcoin being the most prominent of them. Cryptocurrencies are generated by mining, as a fee for validating any transaction. The rate of generating hashes, which validate any transaction, has been increased by the use of specialized machines such as FPGAs and ASICs, running complex hashing algorithms like SHA-256 and Scrypt, thereby leading to faster generation of cryptocurrencies. This arms race for cheaper-yet-efficient machines has been on since the day the first cryptocurrency, Bitcoin, was introduced in 2009. However, with more people venturing into the world of virtual currency, generating hashes for this validation has become far more complex over the years, with miners having to invest huge sums of money on employing multiple high performance ASICs. Thus the value of the currency obtained for finding a hash did not justify the amount of money spent on setting up the machines, the cooling facilities to overcome the enormous amount of heat they produce and electricity required to run them. The next logical step in this is to utilize the power of cloud computing. Miners leasing super computers that generate hashes at astonishing rates that have a high probability of profits, with the same machine being leased to more than one person on a time bound basis is a win-win situation to both the miners, as well as the cloud service providers. This paper throws light on the nuances of cryptocurrency mining process, the traditional machines used for mining, their limitations, about how cloud based mining is the logical next step and the advantage that cloud platform offers over the traditional machines. Keywords—Cryptocurrency; Bitcoin mining; Cloud mining; Double Spending; Profitability
Why attend a memory clinic? What do patients and their families want and/or expect?

OBJECTIVE
To explore which symptoms led people to seek a memory clinic assessment and what they wanted and expected from that assessment. Did the patient and family want and/or expect diagnostic disclosure and, if so, why?


METHODS
Patients scheduled for memory clinic appoint-ments received two questionnaires by post prior to clinic attendance - one for the patient, one for the next-of- kin - regarding symptomatology, wants, expectations and rationale.


RESULTS
Ninety-two per cent of patients (n = 47) and 88% (n = 43) of next-of-kin wanted the patient to be informed of the diagnosis; 84% (n = 43) of patients and 86% (n = 42) of next-of-kin expected the patient to be informed. Rationales for diagnostic disclosure were categorised under themes of planning, treatment, information, coping strategies and rights.


CONCLUSIONS
Patients and families want diagnostic disclosure in order to plan, receive treatment, receive help and learn strategies to cope. This knowledge is seen as the patient's right.
Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients

In this paper, we present a novel approach to deal with the problem of detecting whether the eyes in a given still face image are closed, which has wide potential applications in human–computer interface design, facial expression recognition, driver fatigue detection, and so on. The approach combines the strength of multiple feature sets to characterize the rich information of eye patches (concerning both local/global shapes and local textures) and to construct the eye state model. To further improve the model's robustness against image noise and scale changes, we propose a new feature descriptor named Multi-scale Histograms of Principal Oriented Gradients (MultiHPOG). The resulting eye closeness detector handles a much wider range of eye appearance caused by expression, lighting, individual identity, and image noise than prior ones. We test our method on real-world eye datasets including the ZJU dataset and a new Closed Eyes in the Wild (CEW) dataset with promising results. In addition, several crucial design considerations that may have significant influence on the performance of a practical eye closeness detection system, including geometric normalization, feature extraction, and classification strategies, are also studied experimentally in this work. & 2014 Elsevier Ltd. All rights reserved.
Queue-and-Idleness-Ratio Controls in Many-Server Service Systems

Motivated by call centers, we study large-scale service systems with multiple customer classes and multiple agent pools, each with many agents. We propose a family of routing rules called Queue-andIdleness-Ratio(QIR) rules. A newly available agent next serves the customer from the head of the queue of the class (from among those he is eligible to serve) whose queue length most exceeds a specified state-dependent proportion of the total queue length. An arriving customer is routed to the agent pool whose idleness most exceeds a specified state-dependent proportion of the total idleness. We identify regularity conditions on the network structure and system parameters under which QIR produces an importantstate-space collapse (SSC) result in the Quality-and-Efficiency-Driven (QED) many-server heavy-traffic limiting regime. The SSC result is applied in two subsequent papers to solve important staffing and control problems for large-scale service systems.
FrameNet CNL: a Knowledge Representation and Information Extraction Language

Knowledge Representation (with 26 frames)
PRESENTING INFORMATION SYSTEMS RESEARCH

1 Corresponding Author 2 The two lead authors made substantially similar contributions to this paper. First authorship was determined by rotation among papers.
Films as nanostructured materials with characteristic mechanical properties

Preparation methods of nanostructured materials are discussed and the main attention is given to the film/coating technique. Short history is also reported on mechanical properties of the thin films. The most interesting result is application of structure and properties of nanostructured films.
Automating Temporal Annotation with TARSQI

We present an overview of TARSQI, a modular system for automatic temporal annotation that adds time expressions, events and temporal relations to news texts.
GyroVR: Simulating Inertia in Virtual Reality using Head Worn Flywheels

We present GyroVR, head worn flywheels designed to render inertia in Virtual Reality (VR. Motions such as flying, diving or floating in outer space generate kinesthetic forces onto our body which impede movement and are currently not represented in VR. We simulate those kinesthetic forces by attaching flywheels to the users head, leveraging the gyroscopic effect of resistance when changing the spinning axis of rotation. GyroVR is an ungrounded, wireless and self contained device allowing the user to freely move inside the virtual environment. The generic shape allows to attach it to different positions on the users body. We evaluated the impact of GyroVR onto different mounting positions on the head (back and front) in terms of immersion, enjoyment and simulator sickness. Our results show, that attaching GyroVR onto the users head (front of the Head Mounted Display (HMD)) resulted in the highest level of immersion and enjoyment and therefore can be built into future VR HMDs, enabling kinesthetic forces in VR.
Frequency locked micro disk resonator for real time and precise monitoring of refractive index.

We experimentally demonstrate a frequency modulation locked servo loop, locked to a resonance line of an on-chip microdisk resonator in a silicon nitride platform. By using this approach, we demonstrate real-time monitoring of refractive index variations with a precision approaching 10(-7) RIU, using a moderate Q factor of 10(4). The approach can be applied for intensity independent, dynamic and precise index of refraction monitoring for biosensing applications.
Mid-term anatomic results after endovascular treatment of ruptured intracranial aneurysms with Guglielmi detachable coils and Matrix coils: analysis of the CLARITY series.

BACKGROUND AND PURPOSE
Matrix coils have been developed to prevent aneurysm recanalization. Midterm anatomic results in a prospective multicenter consecutive series including patients treated with GDC or Matrix coils for ruptured aneurysms are presented.


MATERIALS AND METHODS
Five hundred seventeen patients harboring ruptured aneurysms were treated with GDC (276 patients) or Matrix coils (241 patients). Postoperative and midterm anatomic results were evaluated anonymously and independently using the Modified Montreal Scale (complete occlusion, neck remnant, and aneurysm remnant).


RESULTS
In the midterm follow-up (mean, 16.7 months in the GDC group and 15.4 months in the Matrix group), complete occlusion was reported in 95/276 aneurysms (34.4%) in the GDC group and 80/241 (33.2%) in the Matrix group, neck remnant in 127/276 (46.0%) in the GDC group and 118/241 (49.0%) in the Matrix group, and aneurysm remnant in 54/276 (19.6%) in the GDC group and 43/241 (17.8%) in the Matrix group. Evolution of aneurysm occlusion was improvement in 35/272 aneurysms (12.9%) in the GDC group and 27/239 (11.3%) in the Matrix group, stable situation in 98/272 (36.0%) in the GDC group and 97/239 (40.6%) in the Matrix group, and worsening in 139/272 (51.1%) in the GDC group and 115/239 (48.1%) in the Matrix group. A total of 32/517 patients were retreated during the follow-up period: 9/276 (3.3%) in the GDC group and 23/241 (9.5%) in the Matrix group (P = .003).


CONCLUSIONS
In this study, midterm anatomic results and evolution of aneurysm occlusion were not different in patients with ruptured aneurysms treated with GDC or Matrix coils.