bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients
Authors: Hebbrecht K. , Stuivenga M. , Birkenhäger T. , Morrens M. , Fried E. I. , Sabbe B. , Giltay E. J. 
Published: December 2020

Abstract
Background
Major depressive disorder (MDD) shows large heterogeneity of symptoms between patients, but within patients, particular symptom clusters may show similar trajectories. While symptom clusters and networks have mostly been studied using cross-sectional designs, temporal dynamics of symptoms within patients may yield information that facilitates personalized medicine. Here, we aim to cluster depressive symptom dynamics through dynamic time warping (DTW) analysis.

Methods
The 17-item Hamilton Rating Scale for Depression (HRSD-17) was administered every 2 weeks for a median of 11 weeks in 255 depressed inpatients. The DTW analysis modeled the temporal dynamics of each pair of individual HRSD-17 items within each patient (i.e., 69,360 calculated “DTW distances”). Subsequently, hierarchical clustering and network models were estimated based on similarities in symptom dynamics both within each patient and at the group level.

Results
The sample had a mean age of 51 (SD 15.4), and 64.7% were female. Clusters and networks based on symptom dynamics markedly differed across patients. At the group level, five dynamic symptom clusters emerged, which differed from a previously published cross-sectional network. Patients who showed treatment response or remission had the shortest average DTW distance, indicating denser networks with more synchronous symptom trajectories.

Conclusions
Symptom dynamics over time can be clustered and visualized using DTW. DTW represents a promising new approach for studying symptom dynamics with the potential to facilitate personalized psychiatric care.
Gestational lipid profile as an early marker of metabolic syndrome in later life: a population-based prospective cohort study
Authors: Adank Maria C. , Benschop Laura , van Streun Sophia P. , Smak Gregoor Anna M. , Mulder Monique T. , Steegers Eric A. P. , Schalekamp-Timmermans Sarah , Roeters van Lennep Jeanine E. 
Published: December 2020

Abstract
Background
In pregnancy lipid levels increase with gestation resembling an atherogenic lipid profile. Currently it is unclear whether gestational lipid levels are associated with an adverse cardiovascular risk profile later in life. The aim of this study is to assess the association between gestational lipid levels and lipid levels and prevalence of the metabolic syndrome (MS) six years after pregnancy.

Methods
In plasma of 3510 women from the Generation R Study; a prospective population-based cohort, we measured lipid levels (total cholesterol, triglycerides and high-density lipoprotein cholesterol [HDL-c]), and low-density lipoprotein cholesterol (LDL-c), remnant cholesterol and non-HDL-c were calculated in early pregnancy (median 13.2 weeks, 90% range [10.5 to 17.1]) and six years after pregnancy (median 6.5 years, 90% range [6.2 to 7.8]). MS was assessed six years after pregnancy according to the NCEP/ATP3 criteria. We also examined the influence of pregnancy complications on these associations.

Results
Gestational lipid levels were positively associated with corresponding lipid levels six years after pregnancy, independent of pregnancy complications. Six years after pregnancy the prevalence of MS was 10.0%; the prevalence was higher for women with a previous placental syndrome (13.5%). Gestational triglycerides and remnant cholesterol in the highest quartile and HDL-c in the lowest quartile were associated with the highest risk for future MS, independent of smoking and body mass index.

Conclusions
Gestational lipid levels provide an insight in the future cardiovascular risk profile of women in later life. Monitoring and lifestyle intervention could be indicated in women with an unfavorable gestational lipid profile to optimize timely cardiovascular risk prevention.
Metachronous Contralateral Testicular Cancer in the Cisplatin Era: A Population-Based Cohort Study
Authors: Hellesnes Ragnhild , Myklebust Tor Åge , Bremnes Roy M. , Karlsdottir Ása , Kvammen Øivind , Negaard Helene F. S. , Tandstad Torgrim , Wilsgaard Tom , Fosså Sophie D. , Haugnes Hege S. 
Published: December 2020

PURPOSEIt is hypothesized that cisplatin-based chemotherapy (CBCT) reduces the occurrence of metachronous contralateral (second) germ cell testicular cancer (TC). However, studies including treatment details are lacking. The aim of this study was to assess the second TC risk, emphasizing the impact of previous TC treatment.PATIENTS AND METHODSBased on the Cancer Registry of Norway, 5,620 men were diagnosed with first TC between 1980 and 2009. Treatment data regarding TC were retrieved from medical records. Cumulative incidences of second TC were estimated, and standardized incidence ratios were calculated. The effect of treatment intensity was investigated using Cox proportional hazard regression.RESULTSMedian follow-up was 18.0 years, during which 218 men were diagnosed with a second TC after median 6.2 years. Overall, the 20-year crude cumulative incidence was 4.0% (95% CI, 3.5 to 4.6), with lower incidence after chemotherapy (CT) (3.2%; 95% CI, 2.5 to 4.0) than after surgery only (5.4%; 95% CI, 4.2 to 6.8). The second TC incidence was also lower for those age ≥ 30 years (2.8%; 95% CI, 2.3 to 3.4) at first TC diagnosis than those age < 30 years (6.0%; 95% CI, 5.0 to 7.1). Overall, the second TC risk was 13-fold higher compared with the risk of developing TC in the general male population (standardized incidence ratio, 13.1; 95% CI, 11.5 to 15.0). With surgery only as reference, treatment with CT significantly reduced the second TC risk (hazard ratio [HR], 0.55). For each additional CBCT cycle administered, the second TC risk decreased significantly after three, four, and more than four cycles (HRs, 0.53, 0.41, and 0.21, respectively).CONCLUSIONAge at first TC diagnosis and treatment intensity influenced the second TC risk, with significantly reduced risks after more than two CBCT cycles.
Chaplygin sleigh in the quadratic potential field
Authors: Kuznetsov Sergey P. , Kruglov Vyacheslav P. , Borisov Alexey V. 
Published: December 2020

Abstract
We study numerically the dynamics of Chaplygin sleigh under the action of the quadratic potential field. In contrast with the free Chaplygin sleigh our mechanical model manifests a complex behaviour: conservative-like chaotic regimes at low energies, coexistent pairs of chaotic attractors and repellers, mapping to each other by time-reversal symmetry, and the recently discovered phenomenon of attractor and repeller intersection, at high energies. We demonstrate that the development of attractors and repellers corresponds to a period doubling scenario, followed by their collision and instant increase in size.
Quantum dynamics of spin-0 scalar particle with a uniform magnetic field and scalar potential in spinning cosmic string space-time and AB-effect
Authors: Ahmed Faizuddin 
Published: December 2020

Abstract
The relativistic quantum dynamics of a spin-0 scalar massive charged particle with an external uniform magnetic field including a magnetic quantum flux in a spinning cosmic string with a scalar potential

is studied. We compute the energy eigenvalues and eignfunctions and analyze a relativistic analogue of the Aharonov-Bohm (AB) effect for bound states.
Tunable sharp resonances based on multimode interference in a MIM-ring coupling plasmonic resonator system
Authors: Qi Yunping , Zhang Ting , Zhang Yu , Wang Xiangxian 
Published: December 2020

Abstract
An asymmetric plasmonic resonator system is composed of two metal-insulator-metal (MIM) waveguides and a ring resonator is proposed. And tunable sharp resonance based on multimode interference in MIM-ring coupling plasmonic resonator system is theoretically and numerically studied. The Fano resonance of the two different physical mechanisms in this paper is explained by using the multimode interference coupled mode theory (MICMT). Results obtained by the theory of MICMT are very well consistent with those from the finite element method (FEM) simulation. For an independent MIM-ring coupling plasmonic resonator system, its Fano resonance is formed by different resonance modes of the same ring resonator interfering with each other. Moreover, the theory of ring resonator explains the red shift which is attributable to the increase of the inner ring radius. For the rectangular and ring hybrid coupling plasmonic resonator system, the electromagnetic waves in the ring resonator and the rectangular resonator interfere with each other, which leads to the Fano resonance. We also studied the sensitivity (S) and figure of merit (FOM) of the rectangular and ring hybrid resonator system as a refractive index sensor up to 1350 nm /RIU and 1543, respectively, which has a certain reference value for the bio-chemical sensors, filters and modulator for large-scale photonic integration.
A primer for generating and using transcriptome data and gene sets
Authors: Cockrum Chad , Kaneshiro Kiyomi R. , Rechtsteiner Andreas , Tabuchi Tomoko M. , Strome Susan 
Published: December 2020

ABSTRACT
Transcriptomic approaches have provided a growing set of powerful tools with which to study genome-wide patterns of gene expression. Rapidly evolving technologies enable analysis of transcript abundance data from particular tissues and even single cells. This Primer discusses methods that can be used to collect and profile RNAs from specific tissues or cells, process and analyze high-throughput RNA-sequencing data, and define sets of genes that accurately represent a category, such as tissue-enriched or tissue-specific gene expression.
Synthesis of Indenones through Rhodium(III)-catalyzed [3+2] Annulation Utilizing a Recyclable Carbazolyl Leaving Group
Authors: Ochiai Shiho , Sakai Asumi , Usuki Yoshinosuke , Kang Bubwoong , Shinada Tetsuro , Satoh Tetsuya 
Published: December 2020

Abstract
The rhodium(III)-catalyzed annulative coupling of 9-benzoylcarbazoles with internal alkynes proceeds efficiently through ortho C–H and C–N bond cleavages. This reaction provides direct access to variously substituted indanone derivatives. The carbazolyl leaving group can be readily recovered and reused for preparing the starting materials.
The development of a predictive risk model on post-ablation hemobilia: a multicenter matched case–control study
Authors: Liu Bozhi , Li Honglu , Guo Jiang , Duan Youjia , Li Changqing , Chen Jinglong , Zheng Jiasheng , Li Wei 
Published: December 2020

Objective:
This study aimed to develop a predictive risk model for post-ablation hemobilia.

Methods:
This was a retrospective, multicenter, matched case–control study. The case group comprised patients with hepatocellular carcinoma who developed post-ablation hemobilia (n = 21); the control group (n = 63) comprised patients with hepatocellular carcinoma but no post-ablation hemobilia; for each case, we included three controls matched for age, sex, platelet count, year of ablation therapy, and center. Univariate and multivariate regression analyses were performed to identify the risk factors for hemobilia. A risk score model was developed based on adjusted odds ratios (ORs).

Results:
The independent risk factors for occurrence of post-ablation hemobilia were maximum tumor diameter &gt;47 mm [OR = 5.983, 95% CI (1.134–31.551)] and minimum distance from the applicator to the portal trunk ≤8 mm [OR = 4.821, 95% CI (1.225–18.975)]. The risk model was developed using the adjusted ORs; thus a score of 6 was assigned to the former and a score of 5 for the latter. The area under the curve of this risk model was 0.76. Significant hemodynamic instability and inaccurate embolization might increase the risk of recurrence of hemobilia.

Conclusion:
Tumor size &gt;47 mm and distance of the applicator from the portal trunk ≤8 mm are independent risk factors for hemobilia. A predictive risk model for post-ablation hemobilia was developed using these risk factors.

Advances in knowledge:
This is the first study that developed a risk score model of post-ablation hemobilia. Risk factors of the recurrence of post-ablation hemobilia were also been identified.
Lung cancer screening with low-dose computed tomography at a tertiary hospital in Anhui, China and secondary analysis of trial data
Authors: Shan Wulin , Chen Zhaowu , Wei Donghua , Li Ming , Qian Liting 
Published: December 2020

Objective:
Lung cancer screening with low-dose computed tomography (LDCT) partly reduces cancer-specific mortality. However, few data have described this specific population for screening in mainland China. Here, we conducted a population-based screening program in Anhui, China.

Methods:
9084 individuals were participating in the screening program for lung cancer in Anhui province from 1 June 2014 to 31 May 2017. LDCT was offered to all participants who joined the program.

Results:
Of 9084 individuals undergoing LDCT, we detected 54 lung cancers (0.594%). The age with the highest rate was 61–65 years (up to 1.016%), followed by 56–60 (0.784%). Most patients (98.1%, 53/54) were in stage I–II (early stage), and only one was in stage III (advanced stage). Adenocarcinoma, squamous cell carcinoma and small cell lung cancer accounted for 57.4% (31/54), 37% (20/54) and 5.6% (3/54) of the individuals, respectively. Notably, There were 4,102 never smokers in our study. The median age was 63 years. Males and females accounted for 53.4 and 46.6%, respectively. Among the 4102 never smokers, 96 participants had a positive family cancer history. Additionally, we detected 20 lung cancers (0.488%), slightly lower than the whole rate 0.594%. Finally, our data showed that age, smoking, family cancer history and features of nodules were risk factors for lung cancer.

Conclusion:
Our study qualified the efficiency of LDCT to detect early-stage lung cancers in Anhui, China. Further establishment of appropriate lung cancer screening methods specifically for individuals in China is warranted.

Advances in knowledge:
We evaluated the performance of lung cancer screening for asymptomatic populations using LDCT in Anhui, an eastern inland province of China. Our study qualified the efficiency of LDCT to detect early-stage lung cancers in Anhui, China.
Ready to Go Home? Assessment of Shared Mental Models of the Patient and Discharging Team Regarding Readiness for Hospital Discharge
Authors: Manges Kirstin A , Wallace Andrea S , Groves Patricia S , Schapira Marilyn M , Burke Robert E 
Published: December 2020

BACKGROUNDA critical task of the inpatient interprofessional team is readying patients for discharge. Assessment of shared mental model (SMM) convergence can determine how much team members agree about patient discharge readiness and how their mental models align with the patient's self‐assessment.OBJECTIVEDetermine the convergence of interprofessional team SMMs of hospital discharge readiness and identify factors associated with these assessments.DESIGNWe surveyed interprofessional discharging teams and each team's patient at time of hospital discharge using validated tools to capture their SMMs.PARTICIPANTSDischarge events (N = 64) from a single hospital consisting of the patient and their team (nurse, coordinator, physician).MEASURESClinician and patient versions of the validated Readiness for Hospital Discharge Scales/Short Form (RHDS/SF). We measured team convergence by comparing the individual clinicians' scores on the RHDS/SF, and we measured team‐patient convergence as the absolute difference between the Patient‐RHDS/SF score and the team average score on the Clinician‐RHDS/SF.RESULTSDischarging teams assessed patients as having high readiness for hospital discharge (mean score, 8.5 out of 10; SD, 0.91). The majority of teams had convergent SMMs with high to very high interrater agreement on discharge readiness (mean r*wg(J), 0.90; SD, 0.10). However, team‐patient SMM convergence was low: Teams overestimated the patient's self‐assessment of readiness for discharge in 48.4% of events. We found that teams reporting higher‐quality teamwork (P = .004) and bachelor's level–trained nurses (P < .001) had more convergent SMMs with the patient.CONCLUSIONMeasuring discharge teams' SMM of patient discharge readiness may represent an innovative assessment tool and potential lever to improve the quality of care transitions.
<p><strong>Two new <em>Larinus</em> Dejean (Coleoptera: Curculionidae) species descriptions from India with taxonomic overview</strong></p>
Authors: GÜLTEKIN LEVENT , LYAL CHRISTOPHER H. C. 
Published: December 2020

Two new Larinus Dejean (Curculionidae: Lixinae) species are described, based on specimens in the collection of the Natural History Museum, London. Larinus mumbaicus sp. nov. and Larinus nilgiricus sp. nov. from India, are assigned to the subgenus Phyllonomeus Gistel, 1856. Figures for each species are presented, illustrating morphological characters and differential diagnosis characters. Lectotypes are designated for Larinus saussureae Marshall, 1924 and Larinus assamensis Marshall, 1924. A key to the Indian Larinus is presented. Key words: Larinus, Lixini, Curculionidae, taxonomy, new species, Oriental region
Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices
Authors: Zurita Roberto O. , Wiederhecker Gustavo S. , Mayer Alegre Thiago P. 
Published: December 2020

We propose a feasible waveguide design optimized for harnessing Stimulated Brillouin Scattering with long-lived phonons. The design consists of a fully suspended ridge waveguide surrounded by a 1D phononic crystal that mitigates losses to the substrate while providing the needed homogeneity for the build-up of the optomechanical interaction. The coupling factor of these structures was calculated to be G
B
/Q
m
= 0.54 (W m)−1 for intramodal backward Brillouin scattering with its fundamental TE-like mode and G
B
/Q
m
= 4.5 (W m)−1 for intramodal forward Brillouin scattering. The addition of the phononic crystal provides a 30 dB attenuation of the mechanical displacement after only five unitary cells, possibly leading to a regime where the acoustic losses are only limited by fabrication. As a result, the total Brillouin gain, which is proportional to the product of the coupling and acoustic quality factors, is nominally equal to the idealized fully suspended waveguide.
Ultrafast laser-inscribed nanogratings in sapphire for geometric phase elements
Authors: Xu Shuai , Fan Hua , Li Zhen-Ze , Hua Jian-Guan , Yu Yan-Hao , Wang Lei , Chen Qi-Dai , Sun Hong-Bo 
Published: December 2020

We systematically studied femtosecond laser-inscribed self-organized nanogratings and geometric phase elements such as a polarization diffraction focusing lens and Q-plate in sapphire crystal. Besides the void structures observed in the focus, nanogratings with periods of 150~300 nm were observed, depending on a nanoslit that took the role of a seeding effect by localized light field enhancement. The non-polarized refractive index change and birefringence were measured with values around

1

∼

2

×

10

−
3

and

6

×

10

−
4

, respectively. Based on the laser-inscribed form birefringence, a geometric phase lens and Q-plate were successfully demonstrated in sapphire with high imaging and a focusing effect. We expect that our findings may promote the understanding of laser-induced nanogratings in bulk and potential applications in geometric phase elements.
Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning
Authors: Huang Sheng-Wen , Tsai Huey-Pin , Hung Su-Jhen , Ko Wen-Chien , Wang Jen-Ren 
Published: December 2020

Background
Dengue virus causes a wide spectrum of disease, which ranges from subclinical disease to severe dengue shock syndrome. However, estimating the risk of severe outcomes using clinical presentation or laboratory test results for rapid patient triage remains a challenge. Here, we aimed to develop prognostic models for severe dengue using machine learning, according to demographic information and clinical laboratory data of patients with dengue.

Methodology/Principal findings
Out of 1,581 patients in the National Cheng Kung University Hospital with suspected dengue infections and subjected to NS1 antigen, IgM and IgG, and qRT-PCR tests, 798 patients including 138 severe cases were enrolled in the study. The primary target outcome was severe dengue. Machine learning models were trained and tested using the patient dataset that included demographic information and qualitative laboratory test results collected on day 1 when they sought medical advice. To develop prognostic models, we applied various machine learning methods, including logistic regression, random forest, gradient boosting machine, support vector classifier, and artificial neural network, and compared the performance of the methods. The artificial neural network showed the highest average discrimination area under the receiver operating characteristic curve (0.8324 ± 0.0268) and balance accuracy (0.7523 ± 0.0273). According to the model explainer that analyzed the contributions/co-contributions of the different factors, patient age and dengue NS1 antigenemia were the two most important risk factors associated with severe dengue. Additionally, co-existence of anti-dengue IgM and IgG in patients with dengue increased the probability of severe dengue.

Conclusions/Significance
We developed prognostic models for the prediction of dengue severity in patients, using machine learning. The discriminative ability of the artificial neural network exhibited good performance for severe dengue prognosis. This model could help clinicians obtain a rapid prognosis during dengue outbreaks. However, the model requires further validation using external cohorts in future studies.
Clinical characteristics of paediatric autoimmune hepatitis at a referral hospital in Sub Saharan Africa
Authors: Afaa Taiba Jibril , Amegan-Aho Kokou Hefoume , Dono Matilda Tierenye , Odei Eric , Awuku Yaw Asante 
Published: December 2020

Background
Autoimmune hepatitis (AIH) is a progressive inflammatory liver disease of unknown aetiology. The number of reported AIH cases is increasing in the developed countries but the same cannot be said about sub Saharan Africa (SSA). Paediatric AIH diagnosis is usually missed and patients present with decompensated liver disease. Our study highlights the clinical profile of paediatric AIH cases at a referral hospital in Ghana.

Methods
This is a retrospective review of all cases of children diagnosed with autoimmune hepatitis at the gastroenterology clinic in Korle Bu Teaching Hospital, Accra, Ghana. Data was extracted from the patients’ records from April 2016 to October 2019. These children were diagnosed based on the presence of autoantibodies, elevated immunoglobulin G and histologic presence of interphase hepatitis with the exclusion of hepatitis A, B, C and E depending on their clinical presentation, Wilson’s disease, HIV, Schistosomiasis and sickle cell disease.

Results
Thirteen patients aged between 5 years to 13 years with a mean age of 10 years were diagnosed with AIH. All the patients had type 1 AIH with majority 8 (61.5%) being females. Most of the children presented with advanced liver disease with complications. Three patients had other associated autoimmune diseases. The patients were treated with prednisolone with or without azathioprine depending on the severity of the liver disease.

Conclusion
Majority of paediatric AIH presents with advanced liver disease. There is the need for early detection to change the natural history of AIH in SSA.