LLukas22/scidocs huggingface dataset:
The role of interpersonal and social rhythm therapy in improving occupational functioning in patients with bipolar I disorder.

OBJECTIVE
Recent studies demonstrate the poor psychosocial outcomes associated with bipolar disorder. Occupational functioning, a key indicator of psychosocial disability, is often severely affected by the disorder. The authors describe the effect of acute treatment with interpersonal and social rhythm therapy on occupational functioning over a period of approximately 2.5 years.


METHOD
Patients with bipolar I disorder were randomly assigned to receive either acute and maintenance interpersonal and social rhythm therapy, acute and maintenance intensive clinical management, acute interpersonal and social rhythm therapy and maintenance intensive clinical management, or acute intensive clinical management and maintenance interpersonal and social rhythm therapy, all with appropriate pharmacotherapy. Occupational functioning was measured with the UCLA Social Attainment Scale at baseline, at the end of acute treatment, and after 1 and 2 years of maintenance treatment.


RESULTS
The main effect of treatment did not reach conventional levels of statistical significance; however, the authors observed a significant time by initial treatment interaction. Participants initially assigned to interpersonal and social rhythm therapy showed more rapid improvement in occupational functioning than those initially assigned to intensive clinical management, primarily accounted for by greater improvement in occupational functioning during the acute treatment phase. At the end of 2 years of maintenance treatment, there were no differences between the treatment groups. A gender effect was also observed, with women who initially received interpersonal and social rhythm therapy showing more marked and rapid improvement. There was no effect of maintenance treatment assignment on occupational functioning outcomes.


CONCLUSIONS
In this study, interpersonal and social rhythm therapy, with its emphasis on amelioration of interpersonal and role functioning, improved occupational functioning significantly more rapidly than did a psychoeducational and supportive approach with no such emphasis on functional capacities.
Creating Birds of Similar Feathers: Leveraging Similarity to Improve Teacher-Student Relationships and Academic Achievement.

When people perceive themselves as similar to others, greater liking and closer relationships typically result. In the first randomized field experiment that leverages actual similarities to improve real-world relationships, we examined the affiliations between 315 9th grade students and their 25 teachers. Students in the treatment condition received feedback on 5 similarities that they shared with their teachers; each teacher received parallel feedback regarding about half of his or her 9th grade students. Five weeks after our intervention, those in the treatment conditions perceived greater similarity with their counterparts. Furthermore, when teachers received feedback about their similarities with specific students, they perceived better relationships with those students, and those students earned higher course grades. Exploratory analyses suggest that these effects are concentrated within relationships between teachers and their “underserved” students. This brief intervention appears to close the achievement gap at this school by over 60%.
Towards Verified Artificial Intelligence

Verified artificial intelligence (AI) is the goal of designing AI-based systems that are provably correct with respect to mathematically-specified requirements. This paper considers Verified AI from a formal methods perspective. We describe five challenges for achieving Verified AI, and five corresponding principles for addressing these challenges.
Pelvic organ prolapse and incontinence in developing countries: review of prevalence and risk factors

Information on the prevalence, risk factors and social consequences of pelvic floor dysfunction (PFD) affecting women in 16 low-income and lower middle-income countries is reviewed. Medline searches were performed for articles dealing with prevalence of PFD. Thirty studies were identified. The mean prevalence for pelvic organ prolapse was 19.7% (range 3.4–56.4%), urinary incontinence (UI) was 28.7% (range 5.2–70.8%) and faecal incontinence (FI) was 6.9% (range 5.3–41.0%). Risk factors for PFD are similar to those in more affluent countries particularly increased age and parity, but additionally, PFD is associated with other factors including poor nutrition and heavy work. The social consequences of PFD conditions can be devastating. Pelvic organ prolapse and urinary and faecal incontinence are significant problems in developing countries. Access to health care to manage these conditions is often limited, and women usually have to live with the consequences for the rest of their lives.
Recommender system with grey wolf optimizer and FCM

Recommender systems are contributing a significant aspect in information filtering and knowledge management systems. They provide explicit and reliable recommendations to the users so that user can get information about all products in e-commerce domain. In the era of big data and large complex information delivery system, it is impossible to get the right information in the online environment. In this research work, we offered a novel movie-based collaborative recommender system which utilizes the bio-inspired gray wolf optimizer algorithm and fuzzy c-mean (FCM) clustering technique and predicts rating of a movie for a particular user based on his historical data and similarity of users. Gray wolf optimizer algorithm was applied on the Movielens dataset to obtain the initial clusters, and also the initial positions of clusters are obtained. FCM is used to classify the users in the dataset by similarity of user ratings. Our proposed collaborative recommender system performed extremely well with respect to accuracy and precision. We analyzed our proposed recommender system over Movielens dataset which is available publically. Various evaluation metrics were utilized such as mean absolute error, standard deviation, precision and recall. We also compared the performance of projected system with already established systems. The experiment results delivered by proposed recommender system demonstrated that efficiency and performance are enhanced and also offered better recommendations when compared with our previous work [1].
Transition metals and the Aufbau principle

Explanation of why the ground state configuration of the neutral transition metals is in most cases 3dn4s2, and why the ground state configuration of the corresponding ions is obtained by preferentially removing the 4s electrons.
Comparative study of cognitive architectures

The purpose of this paper is to compare between a set of cognitive architecture where we conduct a detailed functional comparison by looking at a wide range of cognitive components, including perception, goal representation, memory types, learning mechanism and problem-solving method. This comparison aims to determine the most appropriate architecture for our e-learning system. Keywords— Cognitive architecture, Cognitive science, Hybrid approach, Multi-Agent Systems (MAS), e-Learning, systems.
A Personalized Tourist Trip Design Algorithm for Mobile Tourist Guides

Mobile Tourist Guides evolve towards automated personalised tour planning devices [4]. The contribution of this paper is to put forward a combined artificial intelligence and metaheuristic approach to solve Tourist Trip Design Problems (TTDP). The approach enables fast decision support for tourists on small footprint mobile devices. The Orienteering Problem, which originates in the Operational Research literature [3], is used as a starting point for modelling the TTDP. The problem involves a set of possible locations having a score and the objective is to maximise the total score of the visited locations, while keeping the total time (or distance) below the available time budget. The score of a location represents the interest of a tourist in that location. Scores are calculated using the Vector Space Model [1], which is a well-known technique from the field of Information Retrieval. The TTDP is solved using a Guided Local Search meta-heuristic [5]. In order to compare the performance of this approach with an algorithm that appeared in the literature [2], both are applied to a real data set from the city of Ghent. A collection of tourist points of interest with descriptions was indexed and subsequently queried with popular interests, which resulted in a test set of TTDPs. The approach presented in this paper turns out to be faster and produces solutions of better quality. This paper is published in Applied Artificial Intelligence 22 (10): 964–985, 2008.
Steady-state thermal analysis of power cable systems in ducts using streamline-upwind/petrov-galerkin finite element method

In this paper, numerical steady-state thermal analysis and ampacity evaluation of underground power cable systems placed in PVC ducts are presented. Between the outer surface of the cable and inner surface of the duct, there are three heat transfer modes, thermal conduction, thermal natural convection and thermal radiation. A Streamline-upwind/Petrov-Galerkin (SUPG) stabilized finite element method is proposed to solve the air governing formulas including the mass conservation equation, the momentum conservation equation and the energy conservation equation in the region between the cables and the containment ducts. During the numerical thermal field analysis, the Newton-Raphson iteration method is used to solve the weak electromagnetic-thermal coupling of underground power cable systems. The radiation heat exchange between the outer surface of the cable and inner surface of the duct is solved by the Newton-Raphson iteration method too. An experiment with several holes and three cables was conducted and the test results were compared with the results of analytical method and SUPG finite element method. The comparison reveals that the convection induced heat exchange is much stronger than the conduction induced heat exchange in the air between the outer cable surface and inner duct surface and calculation accuracy of SUPG finite element method is better than the analytical method. Finally, the Newton-Raphson iteration method is used to evaluate the ampacity of power cable systems placed in PVC ducts.
A phase I study of an oral simulated FOLFOX with high dose capecitabine

Background: A phase I study of high-dose capecitabine given over 2 days, along with oxaliplatin, bolus 5FU and leucovorin (LV), was designed to simulate FOLFOX6 without the need for infusional 5FU. Methods: Schedule A included oxaliplatin 100 mg/m2, 5FU 400 mg/m2, and LV 20 mg/m2 (all given IV on days 1 and 15, 28 day cycle). Capecitabine was administered orally every 8 h × 6 doses, days 1 and 15. Schedule B excluded 5FU and LV, maintaining oxaliplatin and capecitabine. Pharmacokinetics were performed for capecitabine for 6 patients on each schedule. Results: 36 patients were treated. The dose-limiting toxicities seen included nausea, dehydration, fatigue, hypotension and confusion. Minimal palmar-plantar erythrodysesthesia was seen. Myelosuppression was common, but not a dose limiting toxicity. The pharmacokinetic parameters for capecitabine were unaltered. Conclusion: Using capecitabine to mimic FOLFOX6 is feasible and well tolerated with a toxicity profile that differs from standard 14-day capecitabine dosing, with less palmar-plantar erythrodysesthesia. The phase II dose for capecitabine in combination with oxaliplatin, 5FU, and LV is 1,500 mg/m2/dose or 2,250 mg/m2/dose in the absence of bolus 5FU/LV.
Neuromuscular Adaptations to Multimodal Injury Prevention Programs in Youth Sports: A Systematic Review with Meta-Analysis of Randomized Controlled Trials

Objective: Neuromuscular injury prevention programs (IPP) can reduce injury rate by about 40% in youth sport. Multimodal IPP include, for instance, balance, strength, power, and agility exercises. Our systematic review and meta-analysis aimed to evaluate the effects of multimodal IPP on neuromuscular performance in youth sports. Methods: We conducted a systematic literature search including selected search terms related to youth sports, injury prevention, and neuromuscular performance. Inclusion criteria were: (i) the study was a (cluster-)randomized controlled trial (RCT), and (ii) investigated healthy participants, up to 20 years of age and involved in organized sport, (iii) an intervention arm performing a multimodal IPP was compared to a control arm following a common training regime, and (iv) neuromuscular performance parameters (e.g., balance, power, strength, sprint) were assessed. Furthermore, we evaluated IPP effects on sport-specific skills. Results: Fourteen RCTs (comprising 704 participants) were analyzed. Eight studies included only males, and five only females. Seventy-one percent of all studies investigated soccer players with basketball, field hockey, futsal, Gaelic football, and hurling being the remaining sports. The average age of the participants ranged from 10 years up to 19 years and the level of play from recreational to professional. Intervention durations ranged from 4 weeks to 4.5 months with a total of 12 to 57 training sessions. We observed a small overall effect in favor of IPP for balance/stability (Hedges' g = 0.37; 95%CI 0.17, 0.58), leg power (g = 0.22; 95%CI 0.07, 0.38), and isokinetic hamstring and quadriceps strength as well as hamstrings-to-quadriceps ratio (g = 0.38; 95%CI 0.21, 0.55). We found a large overall effect for sprint abilities (g = 0.80; 95%CI 0.50, 1.09) and sport-specific skills (g = 0.83; 95%CI 0.34, 1.32). Subgroup analyses revealed larger effects in high-level (g = 0.34-1.18) compared to low-level athletes (g = 0.22-0.75), in boys (g = 0.27-1.02) compared to girls (g = 0.09-0.38), in older (g = 0.32-1.16) compared to younger athletes (g = 0.18-0.51), and in studies with high (g = 0.35-1.16) compared to low (g = 0.12-0.38) overall number of training sessions. Conclusion: Multimodal IPP beneficially affect neuromuscular performance. These improvements may substantiate the preventative efficacy of IPP and may support the wide-spread implementation and dissemination of IPP. The study has been a priori registered in PROSPERO (CRD42016053407).
Finding the right indicators for assessing quality midwifery care.

OBJECTIVE
To identify a set of indicators for monitoring the quality of maternity care for low-risk women provided by primary care midwives and general practitioners (GPs) in the Netherlands.


DESIGN
A Project Group (midwives, GPs, policymakers and researchers) defined a long list of potential indicators based on the literature, national guidelines and expert opinion. This list was assessed against the AIRE (Appraisal of Indicators through Research and Evaluation) instrument criteria, resulting in a short list of draft indicators. In a two-round Delphi survey, a multidisciplinary group of stakeholders reviewed the elaborated draft indicators, rating both the relationship between indicator and quality of care and the feasibility.


SETTING AND PARTICIPANTS
A multidisciplinary expert panel consisting of 28 midwives, 2 GPs, 3 obstetricians and 3 maternity assistants, randomly selected from different regions in the Netherlands.


INTERVENTION
None.


MAIN OUTCOME MEASURE
Set of quality indicators for midwifery care.


RESULTS
The Project Group generated a list of 115 potential indicators which was reduced to 35 using the AIRE criteria. The 35 draft indicators were discussed by a Delphi panel. In total, 26 indicators were recommended by the participants as relevant indicators of midwifery care, representing several levels of measurement. Eight structure indicators, 12 process indicators and 6 outcome indicators were addressing the various phases of midwifery care.


CONCLUSIONS
We identified a set of quality indicators concerning midwifery care provision in a low-risk population. Practicing maternity care providers adopted the large majority (83%) of the draft indicators proposed as a feasible set of indicators, describing the structure, process and outcome. The input from multidisciplinary experts in the process of identifying the right indicators showed to be essential in all phases of development.
Superpixel-Based CFAR Target Detection for High-Resolution SAR Images

In this letter, a new superpixel-based constant-false-alarm-rate (CFAR) target detection algorithm for high-resolution synthetic aperture radar (SAR) images is proposed. The detection algorithm consists of three stages, i.e., segmentation, detection, and clustering. In the segmentation stage, a superpixel-generating algorithm is utilized to segment the SAR image. In the detection stage, based on the superpixels generated, the clutter distribution parameters for each pixel can be adaptively estimated, even in the multitarget situations. Then, the two-parameter CFAR test statistic can be adopted for detection. In the clustering stage, the hierarchical clustering is used to cluster the detected superpixels to get the candidate targets. The effectiveness of the proposed algorithm is demonstrated using the miniSAR data.
Topology Optimization of Compliant Mechanisms Using Moving Morphable Components with Flexure Hinge Characteristic

This paper presents a compliant mechanisms synthesis method using moving morphable components (MMC) topology optimization with a view of replacing de facto hinges by specific flexure hinge characteristic. The shape of a common used corner-filleted hinge is embed into the profile of quadratically varying thickness component. The geometric parameters of the hinge is treated as design variables, participate in the optimization process directly. To obtain relatively stable topological configurations in different spring stiffness, keynodes connectivity preservation is applied which can provide a forced connection between components and input, output and fixed ports. The validity of the method is demonstrated using numerical examples.
Factors associated with paraspinal muscle asymmetry in size and composition in a general population sample of men.

BACKGROUND
Paraspinal muscle asymmetry in cross-sectional area (CSA) and composition have been associated with low back pain and pathology. However, substantial multifidus muscle asymmetry also has been reported in men who were asymptomatic, and little is known about other factors influencing asymmetry.


OBJECTIVE
The goal of this study was to identify behavioral, environmental, and constitutional factors associated with paraspinal muscle asymmetry.


DESIGN
A cross-sectional study of 202 adult male twins was conducted.


METHODS
Data were collected through a structured interview, physical examination, and magnetic resonance imaging. Measurements of multifidus and erector spinae muscle CSA and the ratio of fat-free CSA to total CSA were obtained from T2-weighted axial images at L3-L4 and L5-S1.


RESULTS
In multivariable analyses, greater asymmetry in multifidus CSA at L3-L4 was associated with lower occupational physical demands and less disk height narrowing. Handedness was the only factor associated with multifidus muscle CSA asymmetry at L5-S1. For the erector spinae muscle, greater age, handedness, and disk height narrowing were associated with CSA asymmetry at L3-L4, and sports activity, handedness, disk height narrowing, and familial aggregation were associated with CSA asymmetry at L5-S1. In multivariable analyses of asymmetry in muscle composition, familial aggregation explained 7% to 20% of the variance in multifidus and erector spinae muscle side-to-side differences at both levels measured. In addition, handedness and pain severity entered the model for erector spinae muscle asymmetry at L5-S1, and disability, handedness, and disk height narrowing entered the model for multifidus muscle asymmetry at L5-S1.


LIMITATIONS
Reliance on participants' recall for low back pain history, occupation, and physical activity levels was a limitation of this study.


CONCLUSIONS
Few of the factors investigated were associated with paraspinal muscle asymmetry, and associations were inconsistent and modest, explaining little of the variance in paraspinal muscle asymmetry.
The problem of task allocation in the Internet of Things and the consensus-based approach

The realization of the Internet of Things (IoT) paradigm relies on the implementation of systems of cooperative intelligent objects with key interoperability capabilities. One of these interoperability features concerns the cooperation among nodes towards a collaborative deployment of applications taking into account the available resources, such as electrical energy, memory, processing, and object capability to perform a given task, which are
Design of the Carotid Revascularization Endarterectomy vs. Stenting Trial (CREST).

RATIONALE
Carotid endarterectomy (CEA) and medical therapy were shown superior to medical therapy alone for symptomatic (> or =50%) and asymptomatic (> or =60%) stenosis. Carotid angioplasty stenting (CAS) offers a less invasive alternative. Establishing safety, efficacy, and durability of CAS requires rigorous comparison with CEA in symptomatic and asymptomatic patients.


AIMS
The objective is to compare the efficacy of CAS versus CEA in patients with symptomatic (> or =50%) or asymptomatic (> or =60%) extracranial carotid stenosis.


DESIGN
The Carotid Revascularization Endarterectomy vs. Stenting Trial (CREST) is a prospective, randomized, parallel, two-arm, multi-center trial with blinded endpoint adjudication. Primary endpoints are analyzed using standard time-to-event statistical modeling with adjustment for major baseline covariates. Primary analysis is on an intent-to-treat basis.


STUDY OUTCOMES
The primary outcome is the occurrence of any stroke, myocardial infarction, or death during a 30-day peri-procedural period, and ipsilateral stroke during follow-up of up to four years. Secondary outcomes include restenosis and health-related quality of life.
Design of Hybrid Energy Storage Control System for Wind Farms Based on Flow Battery and Electric Double-Layer Capacitor

An energy storage system (ESS) in a wind farm is required to be able to absorb wind power fluctuations during gusts, and improve the power quality and stability. This paper puts forward a flow-battery and electric double-layer capacitor (EDLC) hybrid ESS to provide both large power and energy capacity. The hybrid ESS is connected to the point of common coupling. Flow-battery is directly connected to the ESS dc bus while the EDLC has a dc/dc IGBT converter interface. The dc bus voltage varies within a certain range determined by the variable battery terminal voltage. With the EDLC absorbing high-frequency power surges, battery power rating, degree of discharge, and power losses are all reduced. Therefore the battery in the hybrid ESS has low cost and high longevity; and the system overall efficiency is enhanced. Fluctuations in the active and reactive power of the wind farm are compensated with four-quadrant power operation of hybrid ESS. The energy storage is optimized by properly designing the bandwidth of flow-battery and EDLC power regulator. Simulation results show the effectiveness of the control strategy of the hybrid ESS. Keywordswind power, energy storage system (ESS), flow battery energy storage system, electric double-layer capacitor.