bluuebunny/crossref_metadata_2025 huggingface dataset:
Neural-network-powered pulse reconstruction from one-dimensional interferometric correlation traces
Authors: Kolesnichenko Pavel V. , Zigmantas Donatas
Published: January 2023

Any ultrafast optical spectroscopy experiment is usually accompanied by the necessary routine of ultrashort-pulse characterization. The majority of pulse characterization approaches solve either a one-dimensional (e.g., via interferometry) or a two-dimensional (e.g., via frequency-resolved measurements) problem. Solution of the two-dimensional pulse-retrieval problem is generally more consistent due to the problem’s over-determined nature. In contrast, the one-dimensional pulse-retrieval problem, unless constraints are added, is impossible to solve unambiguously as ultimately imposed by the fundamental theorem of algebra. In cases where additional constraints are involved, the one-dimensional problem may be possible to solve, however, existing iterative algorithms lack generality, and often stagnate for complicated pulse shapes. Here we use a deep neural network to unambiguously solve a constrained one-dimensional pulse-retrieval problem and show the potential of fast, reliable and complete pulse characterization using interferometric correlation time traces determined by the pulses with partial spectral overlap.
Self-focusing and self-splitting properties of partially coherent temporal pulses propagating in dispersive media
Authors: Liu Huilong , Du Zhenhua , Li Yuzhao , Chen Hong , Lü Yanfei
Published: January 2023

Based on the coherence theory for non-stationary optical fields, we introduce a new class of partially coherent pulse sources with multi-cosine-Gaussian correlated Schell-model (MCGCSM) and derive the analytic expression for the temporally mutual coherence function (TMCF) of an MCGCSM pulse beam when it propagates through dispersive media. The temporally average intensity (TAI) and the temporal degree of coherence (TDOC) of the MCGCSM pulse beams spreading in dispersive media are investigated numerically, respectively. Our results show that over propagation distance, the evolution of pulse beams is from the primary single beam into multiple subpulses or form flat-topped TAI distributions by controlling source parameters. Moreover, when the chirp coefficient s < 0, the MCGCSM pulse beams through dispersive media will show the characteristics of two self-focusing processes. The reason why there are two self-focusing processes is explained from the perspective of physical meaning. The results in this paper can open the applications of pulse beams in multiple pulse shaping and laser micromachining and material processing.
2 MeV proton irradiation effect on the performance of InAs/GaSb type-II superlattice long-wave infrared detectors
Authors: Zhou Jing , Hao Ruiting , Pan Xinchang , Huang Youwen , Li Junbin , Ren Yang , Kong Jincheng , Liu Wuming
Published: January 2023

In this work, we investigated the effect of 2 MeV proton irradiation on the performance of InAs/GaSb type-II superlattice long-wave infrared detectors by combining ground-based irradiation experiments with Stopping and Range of Ions in Matter (SRIM) computer simulations. We found that irradiation with 2 MeV protons significantly increases the dark current density of the detector by more than two orders of magnitude. At the same time, the quantum efficiency decreases by an order of magnitude. Moreover, proton irradiation degrades the device's performance by raising bulk and surface leakage currents. As the mesa size of the device increases, the proportion of surface leakage current in the total dark current drops. When the mesa size is smaller, the detector irradiation damage is greater. In addition, simulations indicate that the amount of damage produced by 2 MeV proton irradiation rises as irradiation fluences increase. The trends of the irradiation damage produced by the SRIM simulation results and the photocurrent measurements after proton irradiation are consistent, whereas the dark current measurements are identical only at small fluences.
Design, fabrication, and evaluation of a large-area hybrid solar simulator for remote sensing applications
Authors: Du Zhiqiang , Zhao Huijie , Jia Guorui , Li Xudong
Published: January 2023

Solar irradiance variations have a direct effect on the accuracy and repeatability of identifying spectral signatures in the remote sensing field experiments. Solar simulators have been deployed to allow for testing under controlled and reproducible laboratory conditions. However, it is difficult and expensive to make a large-area solar simulation with the appropriate spectral content and spatial uniformity of irradiance. In this study, a hybrid solar simulator has been designed and constructed to provide large-area illumination for remote sensing simulation applications. A design method based on the two-phase genetic algorithm is proposed to improve the performance of the spectral match and spatial uniformity, which no longer relies on the traditional trial-and-error technique. The first phase is used to determine the most appropriate configuration of different lamps in order to represent the solar spectrum. The second phase is to accommodate an optimal placement of the multiple sources to achieve irradiance uniformity. Both numerical simulations and experiments were performed to verify the performances. The results showed that the solar simulator provided a good spectral match and spatial irradiance for simulating the variations in direct normal irradiance at different solar zenith angles. In addition, the modular design makes it possible to adjust irradiance on the target area without altering the spectral distribution. This work demonstrates the development and measurement of a hybrid solar simulator with a realizable optimal configuration of multiple lamps, and offers the prospect of a scalable, large-area solar simulation.
Deep Gauss–Newton for phase retrieval
Authors: Mom Kannara , Langer Max , Sixou Bruno
Published: January 2023

We propose the deep Gauss–Newton (DGN) algorithm. The DGN allows one to take into account the knowledge of the forward model in a deep neural network by unrolling a Gauss–Newton optimization method. No regularization or step size needs to be chosen; they are learned through convolutional neural networks. The proposed algorithm does not require an initial reconstruction and is able to retrieve simultaneously the phase and absorption from a single-distance diffraction pattern. The DGN method was applied to both simulated and experimental data and permitted large improvements of the reconstruction error and of the resolution compared with a state-of-the-art iterative method and another neural-network-based reconstruction algorithm.
Development of a 671 nm injection-locked CW Ti:sapphire laser
Authors: Yamamoto Yoko , Saito Ryoichi , Mukaiyama Takashi
Published: January 2023

We developed an injection-locked Ti:sapphire laser at a wavelength of 671 nm where the fluorescence gain of the Ti:sapphire crystal is quite low. We obtained an output of more than 500 mW at a pump power of 10 W. The injection-locked lasing operates at a single-frequency and unidirectionally lasing with no intracavity optical components. The spectral property and the stability condition for the unidirectional lasing of the injection-locked Ti:sapphire laser are reported. The developed laser will produce the powerful light source required for the laser cooling of lithium atoms.
Toward 3D Imaging of Femtosecond Laser Filament in Air by A CCD within A Single Exposure
Authors: Wei Yingxia , Wang Tie-Jun , long juan , YIN FUKANG , Ding Xinyi , Zhu Bin , Zhou Kainan , Bin Jianhui , Leng Yuxin
Published: January 2023

We experimentally demonstrated the 3D propagation of laser filament in air by an Fabry-Pérot (F-P) cavity assisted imaging within a single exposure. The F-P cavity was composed of two parallel mirrors with certain reflectivity and transmission at filament laser, so that the beam was reflected and refracted multiple times between the two mirrors. The cross-sectional intensity patterns at different longitudinal positions along filament within a single exposure of CCD (Charge-coupled Device) were recorded. When keeping the incident angle of the F-P cavity as a constant and reducing its spacing distance, a better longitudinally resolved evolution of cross-sectional filament intensity patterns was obtained. The intensity evolution along laser filament by the F-P cavity assisted imaging method was consistent with the filament fluorescence measurement from the side. As an application, the transition of laser propagation from linear to nonlinear was unveiled by the F-P cavity assisted 3D imaging.
A dual graph neural network for drug–drug interactions prediction based on molecular structure and interactions
Authors: Ma Mei , Lei Xiujuan
Published: January 2023

Expressive molecular representation plays critical roles in researching drug design, while effective methods are beneficial to learning molecular representations and solving related problems in drug discovery, especially for drug-drug interactions (DDIs) prediction. Recently, a lot of work has been put forward using graph neural networks (GNNs) to forecast DDIs and learn molecular representations. However, under the current GNNs structure, the majority of approaches learn drug molecular representation from one-dimensional string or two-dimensional molecular graph structure, while the interaction information between chemical substructure remains rarely explored, and it is neglected to identify key substructures that contribute significantly to the DDIs prediction. Therefore, we proposed a dual graph neural network named DGNN-DDI to learn drug molecular features by using molecular structure and interactions. Specifically, we first designed a directed message passing neural network with substructure attention mechanism (SA-DMPNN) to adaptively extract substructures. Second, in order to improve the final features, we separated the drug-drug interactions into pairwise interactions between each drug’s unique substructures. Then, the features are adopted to predict interaction probability of a DDI tuple. We evaluated DGNN–DDI on real-world dataset. Compared to state-of-the-art methods, the model improved DDIs prediction performance. We also conducted case study on existing drugs aiming to predict drug combinations that may be effective for the novel coronavirus disease 2019 (COVID-19). Moreover, the visual interpretation results proved that the DGNN-DDI was sensitive to the structure information of drugs and able to detect the key substructures for DDIs. These advantages demonstrated that the proposed method enhanced the performance and interpretation capability of DDI prediction modeling.
Genomic instability caused by Arp2/3 complex inactivation results in micronucleus biogenesis and cellular senescence
Authors: Haarer Elena L. , Theodore Corey J. , Guo Shirley , Frier Ryan B. , Campellone Kenneth G.
Published: January 2023

The Arp2/3 complex is an actin nucleator with well-characterized activities in cell morphogenesis and movement, but its roles in nuclear processes are relatively understudied. We investigated how the Arp2/3 complex affects genomic integrity and cell cycle progression using mouse fibroblasts containing an inducible knockout (iKO) of the ArpC2 subunit. We show that permanent Arp2/3 complex ablation results in DNA damage, the formation of cytosolic micronuclei, and cellular senescence. Micronuclei arise in ArpC2 iKO cells due to chromatin segregation defects during mitosis and premature mitotic exits. Such phenotypes are explained by the presence of damaged DNA fragments that fail to attach to the mitotic spindle, abnormalities in actin assembly during metaphase, and asymmetric microtubule architecture during anaphase. In the nuclei of Arp2/3-depleted cells, the tumor suppressor p53 is activated and the cell cycle inhibitorCdkn1a/p21 mediates a G1 arrest. In the cytosol, micronuclei are recognized by the DNA sensor cGAS, which is important for stimulating a STING- and IRF3-associated interferon response. These studies establish functional requirements for the mammalian Arp2/3 complex in mitotic spindle organization and genome stability. They also expand our understanding of the mechanisms leading to senescence and suggest that cytoskeletal dysfunction is an underlying factor in biological aging.
Renal function is associated with one-month and one-year mortality in patients with intracerebral hemorrhage
Authors: Wang I-Kuan , Yen Tzung-Hai , Tsai Chon-Haw , Sun Yu , Chang Wei-Lun , Chen Po-Lin , Lai Ta-Chang , Yeh Po-Yen , Wei Cheng-Yu , Lin Cheng-Li , Hsu Kai-Cheng , Li Chi-Yuan , Sung Fung-Chang , Hsu Chung Y. ,   Taiwan Stroke Registry Investigators
Published: January 2023

Objective

This study evaluated short-term (1-month) and long-term (1-year) mortality risks associated with the glomerular filtration rate (eGFR) on admission for patients with intracerebral hemorrhage.

Methods

From the Taiwan Stroke Registry data from April 2006 to December 2016, we identified and stratified patients with intracerebral hemorrhage into five subgroups by the eGFR level on admission: ≥90, 60–89, 30–59, 15–29, and <15 mL/min/1.73 m2 or on dialysis. Risks for 1-month and 1-year mortality after intracerebral hemorrhage were compared by the eGFR levels.

Results

Both the 1-month and 1-year mortality rates progressively increased with the decrease in eGFR levels. The 1-month mortality rate in patients with eGFR < 15 mL/min/1.73 m2 or on dialysis was approximately 5.5-fold greater than that in patients with eGFR ≥ 90 mL/min/1.73 m2 (8.31 versus 1.50 per 1000 person-days), with an adjusted hazard ratio (HR) of 4.59 [95% confidence interval (CI) = 2.71–7.78]. Similarly, the 1-year mortality in patients with eGFR < 15 mL/min/1.73 m2 or on dialysis was 7.5 times that in patients with eGFR ≥ 90 mL/min/1.73 m2 (2.34 versus 0.31 per 1000 person-days), with an adjusted HR of 4.54 (95% CI 2.95–6.98).

Conclusion

Impairment of renal function is an independent risk factor for mortality in patients with intracerebral hemorrhage in a gradual way. The eGFR level is a prognostic indicator for patients with intracerebral hemorrhage.
Evidence-based intrapartum care practice and associated factors among obstetric care providers working in hospitals of the four Wollega Zones, Oromia, Ethiopia
Authors: Wodajo Seid , Mosisa Alemnesh , Misganaw Dawit , Minayehu Ambaye , Teklay Berhane , Gashaw Yegoraw , Gardie Yimenu , Dagnaw Yilkal , Olani Adugna
Published: January 2023

Background

Even though Evidence-Based Practice (EBP) is a key component of quality of Intrapartum care and links to improved health care outcomes, consistent application of EBP in patient care remains a challenge for health care providers. In the study area, there are no previous studies conducted on evidence-based Intrapartum care practice among obstetric care providers. Therefore, this study was aimed to assess the magnitude of evidence based intra-partum care practice and its associated factors among obstetric care providers working in hospitals of Wollega zones, Oromia Region, West Ethiopia, 2022.

Method

An institution-based cross-sectional study using quantitative method was conducted from January to April/2022 in 11 hospitals of the four Wollega zones. All obstetric care providers (278) who were practicing intrapartum care in the selected hospitals were included. The data was collected using structured self-administered questionnaire and observational checklist. Data was entered via Epi-Data version 3.1 and analyzed by SPSS version 25 statistical software. To see the association between the independent variables and evidence based Intrapartum care practice, multivariable logistic regression analysis was done. The statistical significance of association was declared at p-value ≤ 0.05. Tables, figures and charts were also used in descriptive statistics.

Result

The overall magnitude of evidence-based Intrapartum care practice was found to be 63.7% [95% CI (59.7, 67.7)]. There was a statistically significant association between evidence-based Intrapartum care practice and having good knowledge about Intrapartum care practice [AOR = 2.95; 95% CI (1.52,5.73)], positive attitude towards Intrapartum care practice [AOR = 3.13; 95% CI (1.59,6.16)], availability of updated Intrapartum care guideline [AOR = 2.88; 95% CI (1.46,5.70)], number of obstetric care providers per a shift (≥5 care providers) [AOR = 2.31; 95% CI (1.01,5.29)], number of deliveries within a day (<10 deliveries) [AOR = 4.61; 95% CI (2.28,9.31)], educational level (MSc and above) [AOR = 5.75; 95% CI (2.23,14.84)] at p-value ≤ 0.05.

Conclusion

Our study revealed that, magnitude of evidence-based Intrapartum care practice was found to be low according to the WHO recommendation. These findings indicate that additional attention and monitoring is required to implement current Intrapartum care practices with the WHO guidelines.
The validation of a Mandarin version of the Empathy Components Questionnaire (ECQ-Chinese) in Chinese samples
Authors: Ge Yabo , Ashwin Chris , Li Fengying , Cao Wei , Zhang Yu , Zhao Xuan , Sun Binghai , Li Weijian
Published: January 2023

Empathy involves both empathic ability and empathic motivation. An important topic has been how to measure empathic ability and motivation simultaneously in both clinical and non-clinical samples and across different cultures. The Empathy Components Questionnaire (ECQ) is a self-report questionnaire that measures empathic ability and motivation in a questionnaire. The current study aimed to validate the Mandarin Chinese version of the ECQ (ECQ-Chinese) in three Chinese samples. In study 1, a total of 538 Chinese participants (Sample 1) completed the ECQ-Chinese via an online survey, and existing measures of empathy and related constructs which were used for criterion validity. In study 2, a total of 104 participants (Sample 2) were recruited again from sample 1 and completed the ECQ-Chinese three weeks later to investigate test-retest reliability. In study 3, a further 324 participants (Sample 3) completed the ECQ-Chinese for confirmatory factor analysis. The results showed that the ECQ-Chinese has a good internal consistency reliability, split-half reliability, and criterion validity (Study 1), and a good test-retest reliability (Study 2). Further, Study 3 found that a 22-item ECQ-Chinese consisting of five subscales had a good construct validity, convergence validity and discriminate validity, demonstrating it to be a suitable tool for the measurement of empathic ability and motivation in Chinese samples and to carry out cross-cultural studies of empathy and its components.
Comparative Assessment of p16/Ki-67 Dual Staining Technology for cervical cancer screening in women living with HIV (COMPASS-DUST)–Study protocol
Authors: Okunade Kehinde S. , Badmos Kabir B. , Okoro Austin C. , Ademuyiwa Iyabo Y. , Oshodi Yusuf A. , Adejimi Adebola A. , Awolola Nicholas A. , Ozonu Oluchi , Adelabu Hameed , Olorunfemi Gbenga , Akanmu Alani S. , Banjo Adekunbiola A. , Anorlu Rose I. , Berek Jonathan S.
Published: January 2023

The risk of progression of low-grade (CIN1) to high-grade cervical intraepithelial neoplasia (CIN2/3) is 3–5 times higher for women living with HIV (WLHIV) than for HIV-negative women. Evidence suggests that the current cervical cancer screening methods perform less effectively in WLHIV. An emerging screening method–p16/Ki-67 dual staining technology (DUST) is a safe and rapid assay that could be used to detect CIN2/3 with higher sensitivity and specificity. The study in this protocol will evaluate the performance of DUST in cervical cancer screening among WLHIV. We will conduct an intra-participant comparative study (Phase 1) to enrol n = 1,123 sexually active WLHIV aged 25–65 years at two accredited adult HIV treatment centres in Lagos, Nigeria to compare the performance of DUST to the currently used screening methods (Pap smear, hr-HPV DNA, or VIA testing) in detecting high-grade CIN and cancer (CIN2+). Subsequently, a prospective cohort study (Phase 2) will be conducted by enrolling all the WLHIV who are diagnosed as having low-grade CIN (CIN1) in Phase 1 for a 6-monthly follow-up for 2 years to detect the persistence and progression of CIN1 to CIN2+. The findings of this study may provide evidence of the existence of a better performance screening method for the primary and triage detection of CIN2+ in WLHIV. It may also demonstrate that this high-performance test can improve the long-term predictive accuracy of screening by extending the intervals between evaluations and thus decrease the overall cost and increase screening uptake and follow-up compliance in WLHIV.
The health system barriers to a healthy diet in Iran
Authors: Amerzadeh Mohammad , Takian Amirhossein , Pouraram Hamed , Akbari Sari Ali , Ostovar Afshin
Published: January 2023

Background

Decreasing calories, salt, sugar and fat intake is considered the golden solution to reduce obesity and cardiovascular diseases (CVDs) related to unhealthy diet. This study aimed to investigate the health system induced barriers to a healthy diet in Iran.

Methods

This is a qualitative health policy analysis. We collected data through 30 semi-structured, face-to-face interviews with purposefully identified experts, including policy-makers, top-level managers and related stakeholders. All interviews were transcribed verbatim, and analyzed with qualitative content analysis, facilitated by MAXQDA 11 software.

Results

We identified six categories of barriers: structural problems within the Ministry of Health and Medical Education (MoHME), i.e. Supreme Council of Health and Food Security (SCHFS); the MoHME’s inadequate stewardship of public health, the short life of the deputy of social affairs within the MoHME and its possible impact on the National Health Assembly; inefficient traffic lights labelling for foods; lack of adequate policies and guidelines for monitoring restaurants and fast foods and insufficient incentive policies for the food industry.

Conclusion

In line with the World Health Organization (WHO) Global Action Plan, in 2015, Iran defined its roadmap for prevention and control of NCDs, i.e. some nutritional interventions. However, different stakeholders including MoHME and other sectors need to provide series of interventions to change people’s approach about food choice so that they might reduce the consumption of foods with excessive salt, fat and sugar.
Associated factors with Premenstrual syndrome and Premenstrual dysphoric disorder among female medical students: A cross-sectional study
Authors: Dinh Trieu Ngo Vy , Bui Linh Phuong , Hoang Long Bao , Tran My Thi Tra , Nguyen Huy Vu Quoc , Tran Linh Manh , Pham Tung Thanh
Published: January 2023

Aim

The study aimed to determine potential risk factors associated with Premenstrual Syndrome and Premenstrual Dysphoric Disorder.

Methods

Three hundred two female student participants who were 18–45 years old completed a questionnaire including demographic characteristics, lifestyle factors, and a Vietnamese Premenstrual Syndrome Screening Tool. We then followed up participants during at least two menstrual cycles using the Daily Record of Severity of Problems. The Premenstrual Syndrome and Premenstrual Dysphoric Disorder diagnosis was established using The Carolina Premenstrual Assessment Scoring System, based on the American College of Obstetrics and Gynecology and Diagnostic and Statistical Manual of Mental Disorders.

Results

According to the Carolina Premenstrual Assessment Scoring System, 35 out of 302 students (11.6%; 95%CI: 8.2–15.7%) met the diagnosis of PMS (31 students) or PMDD (4 students). We found that age at menarche (PR = 0.77, 95%CI: 0.63–0.96), having negative Rh blood type (PR = 4.43, 95%CI: 1.95 to 10.08), being moderately depressed or higher (PR = 2.81, 95%CI: 1.24 to 6.36), and consuming caffeine more than three times per week were statistically associated with having Premenstrual Syndrome or Premenstrual Dysphoric Disorder after adjusting for other variables.

Conclusion

The prominent risk factors for Premenstrual Syndrome and Premenstrual Dysphoric Disorder were negative Rhesus blood type, menarche age, caffeine consumption, and self-reported depression.
“Predictors of in-hospital mortality in adult cancer patients with COVID-19 infection presenting to the emergency department: A retrospective study”
Authors: El Majzoub Imad , Kalot Nour , Khalifeh Malak , Estelly Natalie , El Zahran Tharwat
Published: January 2023

Background

Adult cancer patients are at higher risk of morbidity and mortality following COVID-19 infection. Being on the front lines, it is crucial for emergency physicians to identify those who are at higher risk of mortality. The aim of our study was to determine the predictors of in-hospital mortality in COVID-19 positive cancer patients who present to the emergency department.

Methods

This is a retrospective cohort study conducted on adult cancer patients who presented to the ED of the American university of Beirut medical center from February 21, 2020, till February 21, 2021, and were found to have COVID-19 infection. Relevant data was extracted and analyzed. The association between different variables and in-hospital mortality was tested using Student’s t test and Fisher’s exact test or Pearson’s Chi-square where appropriate. Logistic regression was applied to factors with p <0.2 in the univariate models.

Results

The study included 89 distinct patients with an average age of 66 years (± 13.6). More than half of them were smokers (52.8%) and had received chemotherapy within 1 month of presentation (52.8%). About one third of the patients died (n = 31, 34.8%). Mortality was significantly higher in patients who had recently received chemotherapy (67.7% vs 44.8%, p = .039), a history of congestive heart failure (CHF)(p = .04), higher levels of CRP (p = 0.048) and/or PCT(p<0.04) or were tachypneic in the ED (P = 0.016).

Conclusions

Adult cancer patients with COVID-19 infection are at higher risks of mortality if they presented with tachypnea, had a recent chemotherapy, history of CHF, high CRP, and high procalcitonin levels at presentation.
Multi-breed genomic predictions and functional variants for fertility of tropical bulls
Authors: Porto-Neto Laercio R. , Alexandre Pamela A. , Hudson Nicholas J. , Bertram John , McWilliam Sean M. , Tan Andre W. L. , Fortes Marina R. S. , McGowan Michael R. , Hayes Ben J. , Reverter Antonio
Published: January 2023

Worldwide, most beef breeding herds are naturally mated. As such, the ability to identify and select fertile bulls is critically important for both productivity and genetic improvement. Here, we collected ten fertility-related phenotypes for 6,063 bulls from six tropically adapted breeds. Phenotypes were comprised of four bull conformation traits and six traits directly related to the quality of the bull’s semen. We also generated high-density DNA genotypes for all the animals. In total, 680,758 single nucleotide polymorphism (SNP) genotypes were analyzed. The genomic correlation of the same trait observed in different breeds was positive for scrotal circumference and sheath score on most breed comparisons, but close to zero for the percentage of normal sperm, suggesting a divergent genetic background for this trait. We confirmed the importance of a breed being present in the reference population to the generation of accurate genomic estimated breeding values (GEBV) in an across-breed validation scenario. Average GEBV accuracies varied from 0.19 to 0.44 when the breed was not included in the reference population. The range improved to 0.28 to 0.59 when the breed was in the reference population. Variants associated with the gene HDAC4, six genes from the spermatogenesis-associated (SPATA) family of proteins, and 29 transcription factors were identified as candidate genes. Collectively these results enable very early in-life selection for bull fertility traits, supporting genetic improvement strategies currently taking place within tropical beef production systems. This study also improves our understanding of the molecular basis of male fertility in mammals.
Mortality rate and predictors among patients with breast cancer at a referral hospital in northwest Ethiopia: A retrospective follow-up study
Authors: Misganaw Mekides , Zeleke Haymanote , Mulugeta Henok , Assefa Birtukan
Published: January 2023

Background

Breast cancer is one of the common global health concerns that affects2.1 million women each year and causes the highest number of cancer-related morbidity and mortality among women. The objective of this study was to determine the mortality rate and its predictors among breast cancer patients at the referral hospitals, in northwest Ethiopia.

Methods

A retrospective follow-up study was conducted on breast cancer patients registered between February 01, 2015 and February 28, 2018. They were selected by simple random sampling using computer-generated method and followed until February 29, 2020, in Amhara region referral hospital. A pre-tested data extraction checklist was used to collect data from the registration book and patient medical records. The collected data were entered into Epi-Data version 3.1 and exported to STATA version 14 for analysis. The mortality rate by person-year observation was computed. The Kaplan-Meier survival curve with the log-rank test was used to estimate the survival probabilities of the patients. Bivariate and multivariate Cox regression model was used to identify predictors of mortality.

Results

The overall mortality rate of breast cancer was 16.9 per 100 person-years observation. The median survival time was 38.3 (IQR: 26.23, 49.4) months. Independent predictors of breast cancer mortality was; Clinical stage IV and stage III (aHR:10.44,95% CI: 8.02,11.93 and aHR: 9.43, 95% CI: 6.29,11.03respectively), number of positive lymph node in the category of 10 and more and number of positive lymph node within the category of 4–9 (aHR:12.58, 95%CI: 5.2, 30.46 and aHR: 4.78, 95% CI: 2.19, 10.43respectively), co-morbidities (aHR:1.5, 95%CI: 1.01,2.21), Postmenopausal (aHR:2.03,95% CI: 1.37, 3), histologic grade III (aHR:2.12, 95% CI: 1.26,3.55) and not received hormonal therapy (aHR: 2.19, 95%CI: 1.52,3.15) were independent predictors of mortality.

Conclusion

The overall mortality rate was 16.9 per 100 person-years. The finding was higher compared to high-income countries. Advanced clinical stage, co-morbidities, menopausal status, and hormonal therapy are the significant predictors of mortality. Early detection and treatment of breast cancer is needed to reduce the mortality rate.
Starting from scratch: Step-by-step development of diagnostic tests for SARS-CoV-2 detection by RT-LAMP
Authors: Tapia-Sidas Diana Angélica , Vargas-Hernández Brenda Yazmín , Ramírez-Pool José Abrahán , Núñez-Muñoz Leandro Alberto , Calderón-Pérez Berenice , González-González Rogelio , Brieba Luis Gabriel , Lira-Carmona Rosalía , Ferat-Osorio Eduardo , López-Macías Constantino , Ruiz-Medrano Roberto , Xoconostle-Cázares Beatriz
Published: January 2023

The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected millions of people worldwide. Public health strategies to reduce viral transmission are based on widespread diagnostic testing to detect and isolate contagious patients. Several reverse transcription (RT)-PCR tests, along with other SARS-CoV-2 diagnostic assays, are available to attempt to cover the global demand. Loop-mediated isothermal amplification (LAMP) based methods have been established as rapid, accurate, point of care diagnostic tests for viral infections; hence, they represent an excellent alternative for SARS-CoV-2 detection. The aim of this study was to develop and describe molecular detection systems for SARS-CoV-2 based on RT-LAMP. Recombinant DNA polymerase fromBacillus stearothermophilusand thermostable engineered reverse transcriptase from Moloney Murine Leukemia Virus were expressed using a prokaryotic system and purified by fast protein liquid chromatography. These enzymes were used to set up fluorometric real time and colorimetric end-point RT-LAMP assays. Several reaction conditions were optimized such as reaction temperature, Tris-HCl concentration, and pH of the diagnostic tests. The key enzymes for RT-LAMP were purified and their enzymatic activity was determined. Standardized reaction conditions for both RT-LAMP assays were 65°C and a Tris-HCl-free buffer at pH 8.8. Colorimetric end-point RT-LAMP assay was successfully used for viral detection from clinical saliva samples with 100% sensitivity and 100% specificity compared to the results obtained by RT-qPCR based diagnostic protocols with Ct values until 30. The developed RT-LAMP diagnostic tests based on purified recombinant enzymes allowed a sensitive and specific detection of the nucleocapsid gene of SARS-CoV-2.
Asymmetric spillover between economic policy uncertainty and exchange rate volatility: A global network connectedness perspective
Authors: Wang Panpan , Li Yishi , Liu Xiaoxing
Published: January 2023

This study employs the network connectedness approach to examine the risk spillover between the economic policy uncertainty (EPU) and exchange rate volatility (ERV) of 21 countries. Using monthly data from January 1997 to August 2022, we find that the spillover effect of ERV on EPU is greater than that of the inverse. In addition, the spillover effect of EPU on ERV is mainly concentrated in the foreign exchange markets of developing countries. This finding indicates that the foreign exchange markets of developing countries are more susceptible to shocks of global economic risk, and the spreading of risk contagion between EPU and ERV mainly follows the pathway “increase in global ERV → rising global EPU → further intensified volatility in the foreign exchange markets of developing countries.” A rolling-window analysis shows that the spillover between global EPU and ERV is time-varying. The cross-market spillovers between EPU and ERV in the post-crisis period continued to rise and further increased sharply after the outbreak of the COVID-19 pandemic.
Increased intestinal-fatty acid binding protein in obesity-associated type 2 diabetes mellitus
Authors: Tahapary Dicky L. , Fatya Atikah I. , Kurniawan Farid , Marcella Cicilia , Rinaldi Ikhwan , Tarigan Tri J. E. , Harbuwono Dante S. , Yunir Em , Soewondo Pradana , Purnamasari Dyah
Published: January 2023

Background

Obesity is a traditional risk factor for type 2 diabetes mellitus (T2DM). However, recent studies reported that metabolically unhealthy obesity (MUO) exerts a higher risk of developing T2DM than metabolically healthy obesity (MHO) because of its higher state of insulin resistance. This may happen due to metabolic endotoxemia through gut dysbiosis and increased intestinal permeability. Our study aimed to know the association of intestinal permeability using intestinal fatty acid-binding protein (I-FABP) with obesity-related T2DM patients in Indonesia.

Methods

This was a cross-sectional study that recruited 63 participants with obesity defined using body mass index (BMI) classification for the Asia-Pacific population (BMI ≥25 kg/m2). All participants were then grouped into T2DM and non-T2DM based on American Diabetes Association (ADA) diagnostic criteria. The I-FABP levels were measured using the enzyme-linked immunosorbent assay method.

Results

The I-FABP level of T2DM group was higher compared to non-T2DM group, namely 2.82 (1.23) ng/mL vs. 1.78 (0.81) ng/mL (p<0.001; mean difference 1.033 with 95% CI 0.51–1.55). This difference was not attenuated even after adjustment for age. The fitted regression model using linear regression was: i-FABP = 1.787+1.034*(DM) (R2 = 18.20%, standardized ß = 0.442, p<0.001).

Conclusions

This study underscores the association of intestinal permeability with T2DM in people with obesity and supports the evidence of the potential role of intestinal permeability in the pathogenesis of obesity-related T2DM.
Myoelectric prosthesis hand grasp control following targeted muscle reinnervation in individuals with transradial amputation
Authors: Simon Ann M. , Turner Kristi L. , Miller Laura A. , Dumanian Gregory A. , Potter Benjamin K. , Beachler Mark D. , Hargrove Levi J. , Kuiken Todd A.
Published: January 2023

Background

Despite the growing availability of multifunctional prosthetic hands, users’ control and overall functional abilities with these hands remain limited. The combination of pattern recognition control and targeted muscle reinnervation (TMR) surgery, an innovative technique where amputated nerves are transferred to reinnervate new muscle targets in the residual limb, has been used to improve prosthesis control of individuals with more proximal upper limb amputations (i.e., shoulder disarticulation and transhumeral amputation).

Objective

The goal of this study was to determine if prosthesis hand grasp control improves following transradial TMR surgery.

Methods

Eight participants were trained to use a multi-articulating hand prosthesis under myoelectric pattern recognition control. All participated in home usage trials pre- and post-TMR surgery. Upper limb outcome measures were collected following each home trial.

Results

Three outcome measures (Southampton Hand Assessment Procedure, Jebsen-Taylor Hand Function Test, and Box and Blocks Test) improved 9–12 months post-TMR surgery compared with pre-surgery measures. The Assessment of Capacity for Myoelectric Control and Activities Measure for Upper Limb Amputees outcome measures had no difference pre- and post-surgery. An offline electromyography analysis showed a decrease in grip classification error post-TMR surgery compared to pre-TMR surgery. Additionally, a majority of subjects noted qualitative improvements in their residual limb and phantom limb sensations post-TMR.

Conclusions

The potential for TMR surgery to result in more repeatable muscle contractions, possibly due to the reduction in pain levels and/or changes to phantom limb sensations, may increase functional use of many of the clinically available dexterous prosthetic hands.
Will R&D make investors more tolerant? Analysis based on the performance forecast of Chinese listed companies
Authors: Chen Yixiao , Wang Yisu , Zhao Huafeng , Xu Wei
Published: January 2023

In the era of innovation dividends, whether investors, as the main participants in the capital market, can tolerate enterprise innovation activities is the key to whether the capital market can help enterprises innovate. This paper takes the listed companies of Shanghai and Shenzhen A-shares in China that disclosed quantitative performance forecasts from 2016 to 2021 as samples, obtains the market reaction of performance forecasts through the event study method and uses them as proxy variables of investors’ short-term performance expectations, and uses multiple regression analysis to explore the impact of corporate R&D on investors’ short-term performance expectations. The results are as follows: (1) corporate R&D investment significantly reduces investors’ short-term performance expectations (that is, investors have a significant tolerance effect on enterprises with higher R&D investment); (2) the increase in the shareholding ratio of institutional investors weakens the tolerance effect; and (3) with the implementation of China’s innovation-driven strategy, the tolerance effect of its capital market on enterprise R&D gradually increases, especially for high-tech companies, but has a low tolerance effect on state-owned companies’ R&D risk. The results show that investors in China’s capital market are not completely rational in their response to corporate R&D, and investors are willing to bear more short-term performance losses for high R&D investment, which is consistent with prospect theory.
Proteomics biomarker discovery for individualized prevention of familial pancreatic cancer using statistical learning
Authors: Ha Chung Shing Rex , Müller-Nurasyid Martina , Petrera Agnese , Hauck Stefanie M. , Marini Federico , Bartsch Detlef K. , Slater Emily P. , Strauch Konstantin
Published: January 2023

Background

The low five-year survival rate of pancreatic ductal adenocarcinoma (PDAC) and the low diagnostic rate of early-stage PDAC via imaging highlight the need to discover novel biomarkers and improve the current screening procedures for early diagnosis. Familial pancreatic cancer (FPC) describes the cases of PDAC that are present in two or more individuals within a circle of first-degree relatives. Using innovative high-throughput proteomics, we were able to quantify the protein profiles of individuals at risk from FPC families in different potential pre-cancer stages. However, the high-dimensional proteomics data structure challenges the use of traditional statistical analysis tools. Hence, we applied advanced statistical learning methods to enhance the analysis and improve the results’ interpretability.

Methods

We applied model-based gradient boosting and adaptive lasso to deal with the small, unbalanced study design via simultaneous variable selection and model fitting. In addition, we used stability selection to identify a stable subset of selected biomarkers and, as a result, obtain even more interpretable results. In each step, we compared the performance of the different analytical pipelines and validated our approaches via simulation scenarios.

Results

In the simulation study, model-based gradient boosting showed a more accurate prediction performance in the small, unbalanced, and high-dimensional datasets than adaptive lasso and could identify more relevant variables. Furthermore, using model-based gradient boosting, we discovered a subset of promising serum biomarkers that may potentially improve the current screening procedure of FPC.

Conclusion

Advanced statistical learning methods helped us overcome the shortcomings of an unbalanced study design in a valuable clinical dataset. The discovered serum biomarkers provide us with a clear direction for further investigations and more precise clinical hypotheses regarding the development of FPC and optimal strategies for its early detection.
High-throughput screen in vitro identifies dasatinib as a candidate for combinatorial treatment with HER2-targeting drugs in breast cancer
Authors: Normann Lisa Svartdal , Haugen Mads Haugland , Hongisto Vesa , Aure Miriam Ragle , Leivonen Suvi-Katri , Kristensen Vessela N. , Tahiri Andliena , Engebraaten Olav , Sahlberg Kristine Kleivi , Mælandsmo Gunhild Mari
Published: January 2023

Human epidermal growth factor receptor 2-positive (HER2+) breast cancer is an aggressive subtype of this disease. Targeted treatment has improved outcome, but there is still a need for new therapeutic strategies as some patients respond poorly to treatment. Our aim was to identify compounds that substantially affect viability in HER2+ breast cancer cells in response to combinatorial treatment. We performed a high-throughput drug screen of 278 compounds in combination with trastuzumab and lapatinib using two HER2+ breast cancer cell lines (KPL4 and SUM190PT). The most promising drugs were validated in vitro and in vivo, and downstream molecular changes of the treatments were analyzed. The screen revealed multiple drugs that could be used in combination with lapatinib and/or trastuzumab. The Src-inhibitor dasatinib showed the largest combinatorial effect together with lapatinib in the KPL4 cell line compared to treatment with dasatinib alone (p < 0.01). In vivo, only lapatinib significantly reduced tumor growth (p < 0.05), whereas dasatinib alone, or in combination with lapatinib, did not show significant effects. Protein analyses of the treated xenografts showed significant alterations in protein levels compared to untreated controls, suggesting that all drugs reached the tumor and exerted a measurable effect. In silico analyses suggested activation of apoptosis and reduced activity of survival pathways by all treatments, but the opposite pattern was observed for the combinatorial treatment compared to lapatinib alone.
The effect of the Covid-19 pandemic on STEM faculty: Productivity and work-life balance
Authors: Esquivel Amanda , Marincean Simona , Benore Marilee
Published: January 2023

The disruption caused by the COVID-19 pandemic impacted STEM professionals in numerous ways, affecting research, teaching, publications, patents, and work-life balance. A survey was conducted to determine the changes approximately one year into the pandemic shutdown in USA. Results indicate that the quarantine, limitations, and restrictions led to decreased work productivity and increased stress, anxiety, and family obligations. There was a significant difference between male and female faculty experience with women reporting more child-care, schoolwork assistance, and care for elderly relatives.
Barriers and enablers to young people accessing sexual and reproductive health services in Pacific Island Countries and Territories: A scoping review
Authors: Baigry Maggie Ikinue , Ray Robin , Lindsay Daniel , Kelly-Hanku Angela , Redman-MacLaren Michelle
Published: January 2023

Background

The number of young people utilising sexual and reproductive health services in Pacific Island Countries and Territories remains poor despite the availability and the existence of the fundamental rights to access these services. Adolescents and youth need accurate information and timely access to contraceptives to prevent adverse consequences associated with unintended pregnancies, abortion, childbirth and untreated sexually transmitted infections. This scoping review identifies and analyses factors contributing to young people’s low access to sexual and reproductive health information and services in this region.

Methods

Guided by the PRISMA Scoping review guidelines, we searched three databases (Medline Ovid, Scopus and CINAHL Complete) for peer-reviewed articles published between 1st January 2000 and 31st August 2020 that reported on factors, including barriers and enablers, affecting access to sexual and reproductive health information and services by young people living in Pacific Island Countries and Territories. We assessed the quality of each study according to the study designs, methods of data collection, data analysis and ethical considerations. All information was sorted and organised using an Excel Spreadsheet. Text data from published articles were charted inductively using thematic analysis with no predetermined codes and themes.

Findings

Five hundred eighty-nine articles were screened, and only eight met the inclusion criteria outlined in this scoping review protocol. These eight articles reported studies conducted in four Pacific Island Countries and Territories: Cook Islands, Fiji, Papua New Guinea, and Vanuatu. Factors such as lack of accurate sexual and reproductive health knowledge and social stigma were the leading causes of young people’s limited access to sexual and reproductive health services. Cultural and religious beliefs also invoked stigmatising behaviours in some family and community members.

Conclusion

This scoping review revealed that social stigma and judgemental attitudes imposed by family and community members, including healthcare providers, hinder young unmarried individuals in Pacific Island Countries and Territories from accessing sexual and reproductive health information and contraceptives. Alternatively, a non-judgmental healthcare provider is perceived as an enabler in accessing sexual and reproductive health information and services. Moreover, given that only a few studies have actually focused on young people’s sexual and reproductive health needs in the region, more research is required to fully understand the health-seeking behaviours of young people in their specific contexts.