bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetospirillum magneticum triggers apoptotic pathways in human breast cancer cells
Authors: Menghini Stefano , Vizovisek Matej , Enders Jonathas , Schuerle Simone 
Published: January 2023

Abstract
The use of bacteria in cancer immunotherapy has the potential to bypass many shortcomings of conventional treatments. The ability of anaerobic bacteria to preferentially accumulate and replicate in hypoxic regions of solid tumors, as a consequence of bacterial metabolic needs, is particularly advantageous and key to boosting their immunostimulatory therapeutic actions in situ. While several of these bacterial traits are well-studied, little is known about their competition for nutrients and its effect on cancer cells which could serve as another potent and innate antineoplastic action. Here we explored the nutrient-scavenging abilities of a particular species of bacteria, Magnetospirillum magneticum, which has been studied as a potential new class of bacteria for magnetically targeted bacterial cancer therapy. We investigated their influence on the tumor microenvironment and studied the consequential metabolic effects exerted on cancer cells. To do so, we established an in vitro co-culture system consisting of the strain AMB-1 incubated under hypoxic conditions with human breast cancer cells. We first quantified the number of viable cells after incubation with magnetotactic bacteria demonstrating a lower rate of cellular proliferation that correlated with increasing bacteria-to-cancer-cells ratio. Further experiments showed increasing populations of apoptotic cells when cancer cells were incubated with AMB-1 over a period of 24h. Analysis of the metabolic effects induced by bacteria revealed an increase in the activation of executioner caspases as well as changes in levels of apoptosis-related proteins. Finally, the level of several human apoptosis-related proteins was investigated, confirming a bacteria-dependent triggering of apoptotic pathways in breast cancer cells. Overall, our findings indicate that magnetotactic bacteria could act as self-replicating iron-chelating agents that interfere with proliferation and lead to increased apoptosis of cancer cells. This bacterial feature could serve as an additional antineoplastic mechanism to reinforce current bacterial cancer therapies.
CCL2 is required for initiation but not persistence of HIV infection mediated neurocognitive disease in mice
Authors: Kim Boe-Hyun , Hadas Eran , Kelschenbach Jennifer , Chao Wei , Gu Chao-Jiang , Potash Mary Jane , Volsky David 
Published: January 2023

Abstract
HIV enters the brain within days of infection causing neurocognitive impairment (NCI) in up to half of infected people despite suppressive antiretroviral therapy. The virus is believed to enter the brain in infected monocytes through chemotaxis to the major monocyte chemokine, CCL2, but direct demonstration of the role of CCL2 in NCI pathogenesis in vivo is lacking. We addressed this question during infection of conventional or CCL2 knockout mice with EcoHIV in which NCI can be verified in behavioral tests. NCI develops gradually during EcoHIV infection of mice, with chronic cognitive disease starting 25 days after infection. CCL2 knockout mice infected by intraperitoneal injection of virus failed to develop brain infection and NCI. However, when EcoHIV was directly injected into the brain, CCL2 knockout mice developed NCI. Knockout of CCL2 or its principal receptor, CCR2, slightly reduced macrophage infection in culture. Treatment of mice prior to and during EcoHIV infection with the CCL2 transcriptional inhibitor, bindarit, prevented brain infection and NCI, and reduced macrophage infection. In contrast, bindarit treatment of mice four weeks after infection affected neither brain virus burden nor NCI, suggesting that once established, brain disease was independent of CCL2. Our results indicate that HIV enters the brain mainly through infected monocytes but that resident brain cells are sufficient to maintain NCI. A conclusion from these findings is that NCI therapy must act within the brain. .
Development and Validation of a Machine Learning Algorithm for Problematic Menopause in the Canadian Primary Care Sentinel Surveillance Network (CPCSSN)
Authors: Pham Anh N.Q. , Cummings Michael , Yuksel Nese , Sydora Beate , Williamson Tyler , Garies Stephanie , Pilling Russell , Ross Sue 
Published: January 2023

Abstract
Background
Menopause is a normal transition in a women’s life. For some women, it is a stage without significant difficulties; for others, menopause symptoms can severely affect their quality of life. Identifying problematic menopause is essential to study the condition and to improve quality of care. This study developed and validated a case definition for problem menopause using Canadian primary care electronic medical records.
Methods
We used data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). A case definition was developed using a reference set created by expert reviewers and a machine learning approach was applied to produce a case definition. Methods to select the most appropriate features and to re-balance our cohort were also applied.
Results
We randomly selected 2,776 women aged 45–60 for this analysis. An algorithm of two occurrences of ICD-9-CM code 627 in diagnosis fields within 24 months OR one occurrence of ATC code G03CA in medication fields detected problem menopause. This definition produced sensitivity 81.5% (95%CI 76.3%-85.9%), specificity of 93.5% (95%CI 91.9%-94.8%), positive predicted value 73.8% (95%CI 68.3%-78.6%), and negative predicted value 95.7% (95%CI 94.4%-96.8%).
Conclusion
Our case definition for problem menopause is useful for epidemiological study and demonstrated strong validity metrics. This case definition will help inform future studies exploring management of menopause in primary care settings.
The association between parental risks and childhood development: findings from a community-based survey in East China
Authors: Zheng Shuangshuang , Hua Mengdi , Bai Guannan , He Xinyu , Fang Jianing , Zhu Bingquan , Chen Weijun , Dong Wenhong , Wang Lei , Huang Xiaona , Wang Huishan , Shao Jie 
Published: January 2023

Abstract
Background: Nurturing care is necessary for optimal early childhood development. This study aimed to investigate the prevalence of parental risks in rural East China and assess its impacts on the early neurodevelopment of children younger than 3 years old.
Methods: A community-based cross-sectional survey was conducted from December 2019 to January 2020 among children aged 0 to 3 years old and their caregivers in four counties of Zhejiang Province, who participated the Early Childhood Development Program (ECD) of China. Face-to-face interviews with the major caregivers were conducted by local child health care providers. Demographic information of the child and caregiver were collected by questionnaire. Parental risk screening was performed for each child through Parental Risk Checklist designed by ECD programme. The Ages and Stages Questionnaire (ASQ) was used to identify children with potential developmental delays. Multinomial logistic regression model and linear trend test were applied to assess the association between parental risks and suspected developmental delays.
Results:Among 3852 children surveyed, the percentage of children identified with at least one parental risk was 46.70%. Prevalence of children with at least one domain suspected developmental delays was 9.01% according to ASQ. Parental risk was statistically significantly associated with the overall suspected developmental delay of children aged 0-3 years old (Odd Ratio (OR): 1.36; 95% confidence interval (CI): 1.08, 1.72; P=0.010) after adjusting potential confounders. Respectively, children exposed to 3 or more parental risks had 2.59, 5.76, 3.95, and 2.84 times higher risk of the suspected developmental delay in overall ASQ, communication, problem-solving and personal-social domain than children without any parental risk (P values <0.05). The linear trend tests found that the more parental risk factors, the higher possibility of developmental delay (P values <0.05).
Conclusions: Parental risks for children under age 3 are still existing and prevalent in rural East China, which may increase children’s risk of developmental delays. The parental risk screening can be used to recognize poor nurturing care in primary health care settings. Targeted interventions are warranted to improve the nurturing care for optimal early childhood development.
Automatic Burst Detection in Solar Radio Spectrograms using Deep Learning: deARCE method
Authors: Gordo Javier Bussons , Ruiz Mario Fernández , Mateo Manuel Prieto , Díaz Jorge Alvarado , O Francisco Chávez de la , Hidalgo J. Ignacio , Monstein Christian 
Published: January 2023

Abstract
We present in detail an automatic radio burst detection system, based on the AlexNet convolutional neural network, for use with any kind of solar spectrograms. A full methodology for model training, performance evaluation and feedback to the model generator has been developed with special emphasis on: i) robustness tests against stochastic and overfit effects; ii) specific metrics adapted to the imbalanced nature of the solar burst scenario; iii) tunable parameters for probability threshold optimization; iv) burst coincidence cross match among e-Callisto stations and with external observatories (NOAA-SWPC). The resulting neural network configuration has been designed to accept data from observatories other than e-Callisto --either ground- or satellite-based. Typical False Negative and False Positive Scores in single-observatory mode are, respectively, in the 10--16\% and 6--8\% ranges, which improve further in cross-match mode. This mode includes new services (deARCE, Xmatch) allowing the end scientist to check at a glance if a solar radio burst has taken place with a high level of confidence.
Implementation of an mHealth intervention to increase adherence to triage among HPV-positive women with HPV - self-collection (ATICA study): post-implementation evaluation - women's perspective
Authors: Paolino Melisa , Antelo Victoria Sanchez , Kohler Racquel , Viswanath Kasisomayajula , Arrossi Silvina 
Published: January 2023

Abstract

BACKGROUND
Low adherence to triage after positive screening is a widespread problem for cervical cancer screening programs in Low- and Middle-income Countries. Adhering to cytology-based triage can be challenging, especially among women with self-collected tests. SMS-based interventions are accepted by women and can increase screening uptake. ATICA study was an effectiveness-implementation hybrid type I trial, combining a cluster randomized controlled trial (RCT) with a mixed-methods approach involving quantitative and qualitative evaluations of the implementation. Although ATICA RCT provided evidence regarding the effectiveness of SMS-based intervention, less is known about its acceptability, relevance, and usefulness from the women´s perspective.
METHODS
We carried out a cross-sectional based on a structured questionnaire among HPV-positive women who had participated in the ATICA's intervention group. We measured acceptability, appropriateness, and message content comprehension. Also, we evaluated if the SMS message was considered a cue to encourage women to pick up their HPV test results and promote the triage.
RESULTS
370 HPV-positive women were interviewed. 97.2% of women showed high acceptability of SMS messages. We found higher levels of agreement in all appropriateness dimensions. More than 77% of women showed high comprehension of the content. 76.1% of women who received at least one SMS message went to the health center to pick up their results. Among them, 90.5% mentioned that the SMS message had influenced them to go. We found high acceptability, appropriateness, and comprehension of the SMS message among HPV-positive women with no significant differences between women with vs. without triage Pap at day 60 after receiving the SMS messages.
CONCLUSION
The intervention was an appropriate channel to be informed about HPV test results availability and as a useful cue to go to the health center to pick up results. These results indicate that the implementation of the intervention did not encounter barriers associated with the characteristics of the SMS message itself, suggesting the existence of other obstacles to triage adherence. Our results contributed to a better understanding of the effectiveness achieved in ATICA RCT and provided evidence that could be useful to the scaling up of the intervention in similar settings.
Federal policy discourses, local agricultural knowledge, and regenerating forest dynamics in Mexico’s Mesoamerican Biological Corridor
Authors: Rader Alana M. , Schmook Birgit , Schneider Laura C. , Leichenko Robin , Castelar Jorge 
Published: January 2023

Abstract

Mexico’s neoliberal agrarian policies incentivize intensification, privatization, and field rotation regulations, often by stating that these practices conserve forest from inefficient land use. In Mexico’s Mesoamerican Biological Corridor, this policy discourse is interpreted by smallholders and preconditions land use decisions and subsequent local agriculture and forest cover configurations. Examining how discourses align with the reality of local land use and resulting agriculture-forest configurations is critical to understand the socio-ecological tradeoffs of implementing policies in local forests. We examine how one community’s understanding of land use and forest cover tradeoffs relate to the discourse of Mexico’s latest agrarian policy, Sembrando Vida (SV), using in-depth discourse network analysis. We show that while smallholders participate in multiple governmental programs, they interpret program policies based on their own independent land use histories and experiences. We shed light on how misalignments between policy aims, conservation discourses, and smallholder interpretations have material impacts on tropical forests.
Neural Waves and Short Term Memory in a Neural Net Model
Authors: Selesnick Stephen 
Published: January 2023

Abstract
We show that recognizable neural waveforms are reproduced in the model described in previous work. In so doing we reproduce close matches to certain observed, though filtered, EEG-like measurements in closed mathematical form, to good approximations. Such neural waves represent the responses of individual networks to external and endogenous inputs and are presumably the carriers of the information used to perform computations in actual brains, which are complexes of interconnected networks. Then we apply these findings to a question arising in short term memory processing in humans.
Development of a Dynamical Statistical Analog Ensemble Forecast Model for Landfalling Typhoon Disasters
Authors: Wu Caiming , Ren Fumin , Zhang Da-Lin , Zhu Jing , McBride John Leonard , Chen Yuxu 
Published: January 2023

Abstract
In this report, the development of a Dynamical Statistical Analog Ensemble Forecast model for landfalling typhoon disasters (LTDs) and some applications over coastal China are described. This model consists of the following four elements: i) obtaining the forecast track of a target landfalling typhoon, ii) constructing its generalized initial value (GIV), iii) identifying its analogs based on the GIV, and iv) assembling typhoon disasters of the analogs. Typhoon track, intensity, and landfall date are introduced in GIV at this early development stage. The pre-assessment results show that the mean threat scores of two important damage levels of LTDs reach 0.48 and 0.55, respectively. Of significance is that most of the damage occurs near the typhoon centers around the time of landfall. These results indicate the promising performance of the model in capturing the main damage characteristics of typhoon disasters, which would help coastal community mitigate damage from destructive typhoons.
Study on Numerical Simulation Uplift of Bridge pile Foundation
Authors: Zhanhui Qu , Guozheng Sun , Jiangbo Xu , Heping Wang , Yifan Liu , Zemin Han , Haoyu Tang 
Published: January 2023

Abstract
A bridge is located in a complex area of engineering geological conditions. It is found that some pile foundations of the bridge have been uplifted to varying degrees, up to 309mm, which seriously affects the operation and driving safety of the bridge. Based on this, through theoretical analysis and Plaxis3D finite element software simulation, the cause mechanism of the bridge pile foundation arch is analyzed, and the influence of ground stress and goaf on the bridge pile foundation under different working conditions is studied. The results show that for the bridge in the valley area, the uplift of the bridge pile foundation caused by the equivalent ground stress is the largest, reaching about 300mm; the uplift of non-bridge area in goaf is greater than that of bridge pile foundation; it can be seen that the ground stress is the main reason for the arching of the bridge pile foundation.
Graft Signal and Clinical Outcomes of Single-bundle Anterior Cruciate Ligament Reconstruction and Double-bundle ACLR: The Different Effects Related with Posterior Tibial Slope
Authors: Huang Xi-Meng , Liu Yang , Mao Zi-Mu , Wang Xin-Jie , Wang Hai-Jun , Lin Lin , Li Nan , Wang Jian , Yu Jia-Kuo 
Published: January 2023

Abstract

Background:The effects of single-bundle and double-bundle ACL reconstruction are still controversial and patients with different anatomy may need to choose different surgery. The aim of the study was to assess the relationship between graft maturation and clinical outcomes, identify the risk factors, and compare the results after single/double-bundle ACL reconstruction.Methods:A single-surgeon series of 147 patients with a median follow-up of 149.7 months (range, 144-189 months) underwent isolated primary ACL reconstruction (SB-ACLR group: n = 74; DB-ACLR group: n = 73). Clinical outcomes included the pivot shift test, IKDC, Lysholm, and Tegner scores. Signal intensity (SI) of the graft, and bone anatomy were also assessed.Results:Significant correlations between graft SI and last clinical outcomes were shown.Lateral tibial slope (LTS) (β = 0.09) and medial tibial slope (MTS) (β = 0.09), or their sum (STS) greater than 12° (β = 1.16) were determined as the risk factors of graft SI among SB-ACLR group patients. No independent risk factor for graft SI of patients in the DB-ACLR group was observed. Compared to the other three groups, the STS > 12° group in SB-ACLR showed significant differences in the clinical outcomes.Conclusions:Late graft SI is negatively correlated with the clinical outcomes. It might be affected by specific anatomic features in patients with SB-ACLR, including medial tibial slope, lateral tibial slope, and their sum, and mediated the effect on clinical outcomes. Patients with STS > 12° may consider choosing DB-ACLR to expect better long-term knee function after surgery.Trial registration:No. IRB00006761-2011097 and NCT03984474.Level of Evidence:Retrospective Study, Level III.
The biomechanical effects of bimaxillary osteotomies to the patients with mandibular retraction under incisal clenching
Authors: Luo Haotian , Teng Haidong , Chong Desmond Y. R. , Liu Zhan 
Published: January 2023

Abstract

The purpose of this study is to investigate the biomechanical effect of bimaxillary osteotomies on patients with mandibular retraction. Mandibular retraction, as a typical maxillofacial deformity, and has great adverse effects on TMJ. Bimaxillary osteotomies are widely used to correct symptoms of mandibular retraction. It is necessary to understand the effect of surgery on temporomandibular disc (TMJ). Five patients with mandibular retraction and ten asymptomatic subjects were involved in this study. And finite element models of preoperative, postoperative and control group were constructed based on the CT data. Nine sets of concentrate forces were used to simulate the muscle effect and contact method was used to simulate the interaction within the TMJs and dentitions. The results showed that bimaxillary osteotomies could effectively improve the maxillofacial morphology and alleviate the overload in TMJ. And the facial asymmetry and right chewing side preference could cause imbalanced stress distributions in the TMJs and interfere the surgical treatment.
Visual quality and safety monitoring system for human-robot cooperation
Authors: Kozamernik Nejc , Zaletelj Janez , Košir Andrej , Suligoj Filip , Bracun Drago 
Published: January 2023

Abstract

Efficient workspace awareness is critical for improved interaction in cooperative and collaborative robotics applications. In addition to safety and control aspects, quality-related tasks such as the monitoring of manual activities and the final quality assessment of the results are also required. In this context, a visual quality and safety monitoring system is developed and evaluated. The system integrates close-up observation of manual activities and posture monitoring. A compact single-camera stereo vision system and a time-of-flight depth camera are used to minimize the interference of the sensors with the operator and the workplace. Data processing is based on a deep learning to detect classes related to quality and safety aspects. The operation of the system is evaluated while monitoring a human-robot manual assembly task. The results show that the proposed system ensures a high level of safety, provides reliable visual feedback to the operator on errors in the assembly process, and inspects the finished assembly with a low critical error rate.
Efficient Approximate Computing Unit Architecture for Satellite Images
Authors: A AZHAGU JAISUDHAN PAZHANI 
Published: January 2023

Abstract

Approximate computing plays a significant role in signal processing and image processing applications. Radix-8 approximate novel booth multiplier (R8ANBM) based on approximate novel booth encoder (ANBE) is proposed in this paper to validate approximate computing. The proposed design is synthesized and simulated in Xilinx ISE 13.2. The experimental results show that the proposed multiplier performs better in terms area, speed and energy consumption. The proposed R8ANBE reduced the number of 4 input LUTs by 23.07%, 17.94%, 19.87%, 16.66%, 13.46%, 8.33%, 12.82%, 9.61%, 12.17% and number of occupied slices by 22.33%, 30.09%, 25.24%, 29.12%, 14.56%, 17.47%, 13.59%, 12.62%, 17.47% when compared with the existing techniques such as conventional booth multiplier, R4ABM1, RAD64, ABM1, HLR-BM1, HLR-BM2, R8ABM1, R8ABM2, R8ABM3 respectively. It achieved the accuracy as 67.3% which is higher than exisitng approximate booth multipliers. The proposed R8ANBM is applied to image sharpening applications and the performances are analyzed in terms of error metrics such as ralative mean error distance, normalized mean error distance and peak signal to noise ratio. The above proposed system was implemented using 45nanometer technology library. With applications in low-power CMOS design, quantum computing, optical information processing, DNA computing, bioinformatics, and nanotechnology, there is an increasing interest in power minimization.