LLukas22/scidocs huggingface dataset:
Job demands-resources predicting burnout and work engagement among Belgian home health care nurses: A cross-sectional study.

BACKGROUND
A better knowledge of the job aspects that may predict home health care nurses' burnout and work engagement is important in view of stress prevention and health promotion. The Job Demands-Resources model predicts that job demands and resources relate to burnout and work engagement but has not previously been tested in the specific context of home health care nursing.


PURPOSE
The present study offers a comprehensive test of the Job-Demands Resources model in home health care nursing. We investigate the main and interaction effects of distinctive job demands (workload, emotional demands and aggression) and resources (autonomy, social support and learning opportunities) on burnout and work engagement.


METHODS
Analyses were conducted using cross-sectional data from 675 Belgian home health care nurses, who participated in a voluntary and anonymous survey.


RESULTS
The results show that workload and emotional demands were positively associated with burnout, whereas aggression was unrelated to burnout. All job resources were associated with higher levels of work engagement and lower levels of burnout. In addition, social support buffered the positive relationship between workload and burnout.


CONCLUSIONS
Home health care organizations should invest in dealing with workload and emotional demands and stimulating the job resources under study to reduce the risk of burnout and increase their nurses' work engagement.
Multiple infected cerebral hydatid cysts

We report an unusual patient with multiple infected cerebral hydatid cysts. A 20-year-old man presented with a 2-month history of headache and progressive left-sided hempiparesis. A cerebral CT scan showed a large and heterogeneous parieto-occipital lesion. During surgery an infected hydatid cyst was discovered with multiple daughter vesicles. Post-operatively the patient was treated with albendazol, cefotaxime and metronidazole. The clinical course was good with total recovery of the hemiparesis. A follow-up CT scan showed persistence of some small deep-seated cysts. Multiple infected cerebral hydatid cyst is uncommon and can be confused with other cystic brain lesions. The aim of surgery is to remove the cyst unruptured and this should be followed by antihelminthic and antibiotic treatment in order to avoid recurrences.
Well-Being, Burnout and Competence: Implications for Teachers.

Traditionally, the teaching role has been one of nurturing and developing students’ potential. However, teachers’ work today comprises a complex mix of various factors that include teaching; learning new information and skills; keeping abreast of technological innovations and dealing with students, parents and the community. These are demanding roles and there are growing concerns about teacher well-being and competence. In particular, teachers are experiencing increasing levels of attrition, stress and burnout. This study investigated the relationship between burnout and competence for a sample of mid-career teachers in primary and secondary schools in Queensland. The results break new ground in reporting a negative association between the MBI subscale Depersonalization and competence that may be attributed to a distancing mechanism in difficult human interactions. Overall, the findings of this study hold implications for teacher training courses and the well-being and competence of teachers.
On Ranking and Choice Models

In today’s big data era, huge amounts of ranking and choice data are generated on a daily basis, and consequently, many powerful new computational tools for dealing with ranking and choice data have emerged in recent years. This paper highlights recent developments in two areas of ranking and choice modeling that cross traditional boundaries and are of multidisciplinary interest: ranking from pairwise comparisons, and automatic discovery of latent categories from choice survey data.
Distributed optimal control of lighting based on stochastic hill climbing method with variable neighborhood

In this research, a smart lighting system based on a new autonomous distributed control method was developed to control lighting using illuminance sensors. By using infrared ray communication, one illuminance sensor sends a luminance control directive to several lighting fixtures located nearby. The luminance is made to change randomly within a fixed range to optimize the illuminance using the stochastic hill climbing method. The result of operational experiments using illuminance sensors that were preset to the target illuminance showed that the brightness at specified locations approached the target illuminance that the illuminance sensors were set to. The electrical power consumed by the lighting system was also minimized. Moreover, in comparison with lighting driven autonomous distributed controls of smart lighting systems, better results were obtained, indicating that the method is an effective new distributed control method.
Referral patterns after a seizure admission in an English region: an opportunity for effective intervention? An observational study of routine hospital data

OBJECTIVES
To identify emergency seizure admissions to hospital and their subsequent access to specialist outpatient services.


DESIGN
Algorithmic analysis of anonymised routine hospital data over 7 years using specialist follow-up by 3 months as the target outcome.


POPULATION
All adults resident in Merseyside and Cheshire, England.


MAIN OUTCOMES
Whether, and when, access to the specialist advice that might prevent further admissions was offered.


RESULTS
1.4% of all emergency medical admissions are as a result of seizure. In the following 12 months 35% were readmitted and experienced a mean of 2.3 emergency department visits. Only 27% (48% of those already known to specialists and 13% of those not known) were offered appointments. Subsequent attendance at a specialist clinic is more likely if already known to a clinic, if aged <35 years, if female, or required a longer spell in hospital. Extrapolation from other work suggests 100,000 bed days per annum could be saved.


CONCLUSIONS
Most seizure admissions are not being referred for the help that could prevent future admissions. The majority of those that are referred are not seen within an appropriate time frame. Our service structures are not providing an optimum service for people with epilepsy.
Detrimental effects of short-term mechanical ventilation on diaphragm function and IGF-I mRNA in rats

 Objectives. Because respiratory muscle weakness appears to play an important role in weaning from mechanical ventilation, we developed an animal model of mechanical ventilation with appropriate controls in order to determine whether 24 h of mechanical ventilation already affected diaphragmatic function. Design and interventions. Fifty-two male Wistar rats were randomized into three groups: a non-anesthetized control group (C, n=10), an anesthetized spontaneously breathing group (SB, n=9 out of 26), and an anesthetized and mechanically ventilated group (MV, n=12 out of 16). Results. After 24 h, in vitro diaphragmatic force was decreased in SB group but even more so in MV group (i.e., 80 Hz: −15% in SB, P<0.005 vs C and −34% in MV group, P<0.005 vs C and SB). This was associated with a significant decrease in the diaphragm type I and type IIa dimensions in the SB group, which was more pronounced in the MV group. Interestingly, diaphragm IGF-I mRNA was decreased in the SB group (−14%, P<0.05 vs C), but more so in MV group (−29%, P<0.001 vs C and P<0.01 vs SB). Moreover, there was a significant correlation between diaphragm force and IGF-I mRNA (at 80 Hz r=0.51, P=0.0056). Conclusions. We conclude that 24 h of mechanical ventilation in rats, independently of anesthesia, already significantly reduced diaphragm force, fiber dimensions, and its IGF-I mRNA levels.
Antidepressant dose and treatment response in bipolar depression: Reanalysis of the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) data.

UNLABELLED
The aim of this study is to evaluate whether an adjunct antidepressant therapy at a higher dose to a mood stabilizer would make a difference in the treatment of bipolar depression. This is a post-hoc analysis of the data from the randomized treatment for acute depression of the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD), in which patients with bipolar depression were randomly assigned to treatment with a mood stabilizer plus adjunctive antidepressant drugs or placebo. According to the highest dose received in the course of treatment, the subjects were divided into one of the following three groups: high-dose, low-dose and placebo groups. The primary and secondary outcomes were durable recovery (which was operationally defined as eight consecutive weeks with </ = 2 symptoms) and treatment-emergent affective switch (i.e. transition to mania or hypomania), respectively. In the evaluable 333 subjects, subjects in both the high-dose (n = 102) and placebo groups (n = 169) more significantly achieved durable recovery than the low-dose group (n = 62) (odds ratio = 3.013 [p = 0.009], 2.899 [p = 0.008], respectively). No significant association was found between the dose status and treatment-emergent affective switch (p = 0.614). The allocation to either high- and low-dose antidepressants was not randomized and the dose was guided by a case-by-case decision, which hampers to draw a firm conclusion on dose-response issues and renders the findings as preliminary. Nevertheless, higher doses of adjunctive antidepressant drugs seem to have potential for yielding greater clinical improvement without increasing any risk of manic switch compared to lower doses, at least in carefully selected patients. THE CLINICALTRIALS.


GOV IDENTIFIER
NCT00012558.
Navigation-guided reduction and orbital floor reconstruction in the treatment of zygomatic-orbital-maxillary complex fractures.

PURPOSE
To evaluate the effectiveness of image-guided navigation on open reduction and orbital floor reconstruction as treatment for zygomatic-orbital-maxillary complex fractures.


PATIENTS AND METHODS
Six patients with zygomatic-orbital-maxillary complex fractures were enrolled in the present study. With preoperative planning and 3-dimensional simulation, the normal anatomic structures of the deformed area were recreated by superimposing and comparing the unaffected side with the affected side. The position of dislocated bone for reduction was defined, and surgical simulation was performed. All patients underwent open reduction and orbital floor reconstruction under the guidance of the navigation system.


RESULTS
A fairly accurate match between the intraoperative anatomy and the computed tomography images was achieved through registration, with a systematic error of 1-mm difference. With guidance of the navigation system, open reduction of zygomatic-orbital-maxillary complex fractures and orbital floor reconstruction were performed in all cases. The reduction was checked by postoperative computed tomography scans, with a good match with preoperative planning noted. The maximal deviation between the reduction and preoperative planning was less than 2 mm. The symptoms associated with the orbital floor defects were eliminated, and the postoperative facial appearance of the patients was clearly improved.


CONCLUSION
Navigation-guided open reduction of zygomatic-orbital-maxillary complex fractures with orbital floor reconstruction can be regarded as a valuable treatment option for this potentially complicated procedure.
Using Bayesian networks to analyze expression data

DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a “snapshot” of transcription levels within the cell. A major challenge in computational biology is to uncover, from such measurements, gene/protein interactions and key biological features of cellular systems.
In this paper, we propose a new framework for discovering interactions between genes based on multiple expression measurements This framework builds on the use of Bayesian networks for representing statistical dependencies. A Bayesian network is a graph-based model of joint multi-variate probability distributions that captures properties of conditional independence between variables. Such models are attractive for their ability to describe complex stochastic processes, and for providing clear methodologies for learning from (noisy) observations.
We start by showing how Bayesian networks can describe interactions between genes. We then present an efficient algorithm capable of learning such networks and statistical method to assess our confidence in their features. Finally, we apply this method to the S. cerevisiae cell-cycle measurements of Spellman et al. [35] to uncover biological features
Psychiatric treatment following participation in the CapOpus randomized trial for patients with comorbid cannabis use disorder and psychosis

BACKGROUND
Randomized trials targeting cannabis use disorders in patients with psychosis have generally been unsuccessful. One of the largest such trials was the CapOpus trial, which had an impact on the number of monthly joints used, but not on the number of days with cannabis use or positive or negative symptoms.


OBJECTIVE
To investigate the effects of CapOpus on psychiatric treatment.


METHODS
Six-month randomized trial on participants meeting ICD-10 criteria for cannabis use disorder and schizophrenia-spectrum psychosis. Participants were randomized to treatment as usual (TAU, n=51) alone versus TAU plus CapOpus (n=52) consisting of motivational interviewing and cognitive behavior therapy. Data regarding psychiatric treatment was obtained from complete nationwide registers. Analyses were intention-to-treat. Cox and poisson regression were used as appropriate.


RESULTS
Compared with treatment as usual, participants in the CapOpus group had an overall higher risk of having a psychiatric emergency room contact (hazard ratio 2.02, 95% confidence interval 1.22-3.34). Participants in CapOpus also had more contacts with psychiatric emergency rooms (incidence rate ratio 3.47 (2.64-4.57)) and more admissions to psychiatric hospitals (incidence rate ratio 2.24 (1.65-3.03)); conversely, CapOpus-participants spent fewer days admitted to psychiatric hospitals than treatment-as-usual participants (incidence rate ratio 0.72 (0.68-0.75)).


CONCLUSIONS
CapOpus led to earlier and more psychiatric emergency room contacts and admissions that, however, were of fewer days. This pattern could indicate that participants receiving treatment as usual were inadequately treated. However, it cannot be excluded that the differences might be an adverse reaction to the psychosocial intervention.
FIXED STRUCTURE PID CONTROLLER DESIGN FOR STANDARD H∞ CONTROL PROBLEM

A frequency domain design method of fixed structure multivariable PID controllers that satisfy the performance index of the standard H∞ control problem with the LMI (linear matrix inequality) constraints of the PID gains is proposed. Frequency dependent bilinear matrix inequalities on the PID gain are derived and they are approximated by LMI’s for each frequency. By solving an LMI problem iteratively starting from a stabilizing PID gain, the proposed method gives a convergent sequence of PID gains so that the sequence of H∞ norm may be non-increasing. Copyright c ©2005 IFAC
Application of Balanced Realizations for Model-Order Reduction of Dynamic Power System Equivalents

This paper reviews and applies the balanced realization (BR) theory to obtain reduced-order models from dynamic system equivalents of electric power networks. BR allows obtaining reduced-order models via a process in which the original asymptotic stable system is internally balanced. The balanced system is truncated according to its dominant dynamics. It can be proven that the truncated, that is, reduced-order, system is also stable. This paper applies the BR method to dynamic system equivalents represented as frequency-dependent network equivalents (FDNEs). Furthermore, it shows that an assumed reduced-order FDNE can be further reduced via the BR process. Four case studies, involving one transmission network and three wind power plants, are presented.
Wild Justice and Fair Play: Cooperation, Forgiveness, and Morality in Animals

In this paper I argue that we can learn much about ‘wild justice’ and the evolutionary origins of social morality – behaving fairly – by studying social play behavior in group-living animals, and that interdisciplinary cooperation will help immensely. In our efforts to learn more about the evolution of morality we need to broaden our comparative research to include animals other than non-human primates. If one is a good Darwinian, it is premature to claim that only humans can be empathic and moral beings. By asking the question ‘What is it like to be another animal?’ we can discover rules of engagement that guide animals in their social encounters. When I study dogs, for example, I try to be a ‘dogocentrist’ and practice ‘dogomorphism.’ My major arguments center on the following ‘big’ questions: Can animals be moral beings or do they merely act as if they are? What are the evolutionary roots of cooperation, fairness, trust, forgiveness, and morality? What do animals do when they engage in social play? How do animals negotiate agreements to cooperate, to forgive, to behave fairly, to develop trust? Can animals forgive? Why cooperate and play fairly? Why did play evolve as it has? Does ‘being fair’ mean being more fit – do individual variations in play influence an individual’s reproductive fitness, are more virtuous individuals more fit than less virtuous individuals? What is the taxonomic distribution of cognitive skills and emotional capacities necessary for individuals to be able to behave fairly, to empathize, to behave morally? Can we use information about moral behavior in animals to help us understand ourselves? I conclude that there is strong selection for cooperative fair play in which individuals establish and maintain a social contract to play because there are mutual benefits when individuals adopt this strategy and group stability may be also be fostered. Numerous mechanisms have evolved to facilitate the initiation and maintenance of social play to keep others engaged, so that agreeing to play fairly and the resulting benefits of doing so can be readily achieved. I also claim that the ability to make accurate predictions about what an individual is likely to do in a given social situation is a useful litmus test for explaining what might be happening in an individual’s brain during social encounters, and that intentional or representational explanations are often important for making these predictions. Wild justice: social morality, manners, and cooperation in animals Those communities which included the greatest number of the most sympathetic members would flourish best and rear the greatest number of offspring. (Charles Darwin 1871/1936, p. 163) I believe that at the most fundamental level our nature is compassionate, and that cooperation, not conflict, lies at the heart of the basic principles that govern our human existence...By living a way of life that expresses Biology and Philosophy 19: 489–520, 2004. 2004 Kluwer Academic Publishers. Printed in the Netherlands.
Antiretroviral activity of the anti-CD4 monoclonal antibody TNX-355 in patients infected with HIV type 1.

BACKGROUND
We wished to determine the safety and anti-human immunodeficiency virus (HIV) type 1 activity of single doses of TNX-355, a humanized IgG4 anti-CD4 monoclonal antibody with potent activity against HIV-1 in vitro, in HIV-infected subjects.


METHODS
Sequential cohorts of 6 HIV-1-infected subjects each received infusions of TNX-355. Data included plasma HIV-1 RNA level, CD4+ T cell count, TNX-355 coating of CD4+ T cells, and serum TNX-355 levels.


RESULTS
Dose-related reductions in plasma HIV-1 RNA loads correlated with complete CD4+ T cell coating by TNX-355. Peak median decreases in plasma HIV-1 RNA loads were 0.56, 1.33, and 1.11 log10 copies/mL and occurred on days 4-7, 14, and 21 for the 3.0, 10, and 25 mg/kg doses, respectively. Dose-dependent increases in CD4+ T cell count occurred within 24 h of dosing.


CONCLUSIONS
Single doses of TNX-355 reduced plasma HIV-1 RNA loads and increased CD4+ T cell counts in HIV-infected subjects. The further assessment of therapeutic potential awaits data from longer-duration trials.
CT prediction of contusion evolution after closed head injury: the role of pericontusional edema.

BACKGROUND
Cerebral contusions have a 51% incidence of evolution in the first hours after injury. Evolution is associated with clinical deterioration and is the reason for ICP monitoring or surgical intervention. We sought to define CT features that predict cerebral contusion evolution.


METHODS
Patients treated for cerebral contusion who had 2 CT scans within 24 hours after injury were evaluated (n = 21). CT scans were analyzed for area of contusion, hemorrhagic components, and edema. Increase (%) in contusion size was recorded. Contusion evolution was defined as > 5% size increase. Ratios of hemorrhagic components to surrounding edema were calculated.


RESULTS
Ten patients (47.6%) showed contusion evolution and 11 (52.4%) did not. Age, sex ratio, or injury severity between the 2 groups did not differ. Eight of 10 patients with evolving contusions had minimal or no perilesional edema on first CT; only 2 of 11 nonevolution patients had perilesional edema (p < 0.005). Mean ratio of area of surrounding edema to area of hemorrhagic products on first CT was 0.770 in evolution group versus 2.22 in non-evolution group (p = 0.055).


CONCLUSIONS
A higher proportion of patients without contusion evolution had perilesional edema present on first CT scan. The absence of pericontusional edema on early CT may be a useful marker to predict contusion evolution.
A force of nature

IEEE WOMEN IN ENGINEERING MAGAZINE WINTER 2007/2008 18 07/$25.00©2007IEEE T The most rudimentary science course will tell you that hydrogen is the most abundant element in the universe and water is a copious compound. Early mathematics teaches that 2+2=4. The beginning stages of both math and science lay the framework for problem solving, an art which Mary Petryszyn, vice president of civil security and response programs at Raytheon in Waltham, Massachusetts, has become quite adept. Petryszyn is a model for girls since her childhood love of math and science has led to a career as a celebrated engineer for a top defense company. “My career choices trace back to my interests in math and science and being able to create solutions from those basics,” explains Petryszyn. “That’s what I still do, only from a broader perspective.” As an executive at Raytheon, Petryszyn leads a business area focused on helping companies develop homeland security systems that join different types of services together. “There is really a need to ensure that we’re protecting our homeland,” she says, “and services really have to interact with one another.” As customers reorganize themselves, Petryszyn and her team aid in security by integrating solutions across all service lines.