bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spike-Receptor Binding Domain (SRBD) Antibodies Secretion in COVID-19 Survivors and Non-Survivors Post-Pre-Endemic Vaccination
Authors: Museyaroh  , Woelansari Evy Dyah , Kriharyani Dwi 
Published: September 2022

Highlights

The research this for determine the presence of immune response post-vaccine
The results of this study indicate that there are differences in immune responses, in survivors patients have higher SRBD antibody levels than non-survivors

Abstract :
The development of a vaccine for SARS-COV-2 began in mid-2020 with the aim of stimulating an individual's immune response against SARS-CoV-2 infection. The purpose of this study was to determine the levels of post-vaccine SRBD antibody secreted in COVID-19 survivors and non-survivors. Antibodies are considered to play a more important role in evaluating immunity because antibody tests may provide information about a person's immune status against SARS-CoV-2. The study was conducted at Husada Utama Hospital, Surabaya, Indonesia, in April – May 2021. The samples were taken prospectively with a total sample of 60 patients, consisting of 40 non-survivors and 20 survivors of COVID-19 who had received Sinovac vaccine doses 1 and 2. Examination of Sars-CoV-2 SRBD antibody was conducted by using CL series of Mindray device by means of CLIA method. The average level of antibody was assessed in each sample group and the results were subjected to the Mann Whitney test. The mean SRBD antibody level in female patients was 428.24 ± 271.25, while in male patients it was 310.40 ± 113.71 U/mL. The results of the Mann Whitney test revealed a P-Value of 0.09 > 0.05, indicating no difference in post-vaccine SRBD antibody levels between females and males, but there were differences in SRBD antibody levels in COVID-19 survivors and non-survivors with a P-Value of <, i.e. 0.00 < 0.05 There was no difference in post-vaccine SRBD antibody levels between females and males in COVID-19 survivors and non-survivors, but there were differences in post-vaccine antibody levels between COVID-19 survivors and non-survivors.
Efek Kecepatan Pengendapan terhadap Perencanaan Unit Sedimentasi Primer pada Pengolahan Air Lindi
Authors: Notonugroho Owen Jacob , Kahendran Muhammad Faiz , Wiwiyanti Aliyah Baida , Nauval Dzaki , Arif Chusnul Arif , Kurniawan Allen 
Published: September 2022

Produksi air lindi akibat tumpukan sampah akan mencemari lingkungan dan air tanah di bawahnya apabila tidak diolah dengan baik. Air lindi memiliki banyak padatan tersuspensi sehingga memerlukan koagulan sebagai pengikat antar partikel padatan. Penelitian ini merancang unit sedimentasi primer dengan mempertimbangkan kecepatan pengendapan ketika diberi koagulan. Berdasarkan hasil pengujian jar test diperoleh dosis optimum PAC 2500 mg/L karena memiliki nilai turbiditas dan COD terkecil berturut-turut sebesar 0.46 NTU dan 163 mg/L. Dosis koagulan terpilih selanjutnya dilakukan pengukuran hindered settling sehingga menghasilkan nilai ketinggian kritis 15,9 cm dan waktu kritis 76,7 menit. Proses pengendapan zona kompresi terjadi pada menit ke-183 ditandai dengan melandainya kurva. Desain unit sedimentasi primer berdasarkan karakteristik kecepatan pengendapan pada air lindi dapat mengadopsi persamaann Vesilind dan Yoshida-Dick. Nilai koefisien pengendapan dengan persamaan Vesilind dan Yoshida-Dick masing-masing sebesar 2 × 10-6 m3/gr dan 9,82 × 10-3 m3/gr. Persamaan Vesilind menghasilkan nilai kecepatan pengendapan sebesar 0,009 cm/detik, sedangkan persamaan Yoshida dan Dick sebesar 0,01 cm/detik. Berdasarkan kurva hindered diperoleh nilai Hu sebesar 5,23 cm dan Tu sebesar 183,74 menit. Nilai Hu dan Tu dapat memperoleh nilai SOR sebesar 2,39 m3/m2. Debit aliran ditentukan sebesar 100 L/detik maka diperoleh nilai luas area permukaan sedimentasi sebesar 3614,74 m2 dan diameter unit sedimentasi diperoleh sebesar 66,67 m. Kedalaman total dan diameter unit sedimentasi primer diperoleh sebesar 4,59 m dan 66,67 m. Desain struktur unit sedimentasi terdiri atas struktur influen, orifice submerge EDI, dan struktur efluen agar debit influen yang memasuki unit sedimentasi tidak mengganggu proses pengendapan. Hubungan antara nilai pemodelan kecepatan pengendapan dengan desain unit sedimentasi diharapkan mampu mengoptimumkan proses pengendapan pada air lindi dengan menggunakan koagulan PAC.
Top-k Document Ranking and Sentence Similarity Retrieval System for Covid-19 Research Papers
Authors: Adesokan Ademola 
Published: September 2022

Abstract
The importance of academic research in solving problems and facilitating growth and development cannot be underestimated. When conducting academic research, one of the significant problems is knowing the recently published papers and getting related research papers to use for review and citation. This project develops a top-k document ranking and sentence similarity retrieval system for covid-19 research papers. The work is subdivided into top-k document ranking and sentence similarity retrieval. The former helps researchers working on Covid-19 related research to retrieve highly relevant research papers and articles related to Covid-19 topics based on their preferences by generating inverted indices using TF-IDF. It also searches and retrieves the best match and sorted list of most relevant papers and articles using Okapi BM25. The latter help to retrieve the top-k sentences, which can help researchers get sentences for citation in literature reviews. It uses TS-SS to get similar sentence(s) to the user query from the highly relevant document by improving the query answering accuracy and less time complexity.
Manual evaluation with user queries was used to test and evaluate the models. The result in this work shows an example of document retrieval of titles of the top-5 relevant research papers from the collection of Covid-19 and coronavirus-related documents was ranked and retrieved to the user query. For sentence retrieval, the experiment shows an example of the top-4 similar sentence(s) for the highly relevant article, which was evaluated by utilizing a user query to search from the document. The TS-SS model successfully retrieves the most related sentences from the document using the weighted maximum and indexed similarity.
Minimally Invasive Trans-Superior Articular Process Percutaneous Endoscopic Lumbar Discectomy with Robot Assistance
Authors: Wang Zongjiang , Tan Ying , Fu Kai , Meng Zhaowu , Wang Liang 
Published: September 2022

Abstract
Background: To compare the clinical outcomes of patients with lumbar disc herniation treated with robot-assisted percutaneous endoscopic lumbar discectomy (r-PELD) or conventional PELD under fluoroscopy guidance (f-PELD).
Methods: Our study group included 55 patients, 22 in the r-PELD group and 33 in the f-PELD group. The following clinical and surgical outcomes were compared between the two groups: the visual analog scale for radiculopathy pain; Oswestry Disability Index; intraoperative volume of blood loss; frequency of fluoroscopy used during the procedure; and MacNab classification. The follow-up period was 6–8 months.
Results: Compared with f-PELD, r-PELD was associated with a lower volume of intraoperative blood loss and frequency of fluoroscopy (p<0.01). There were no differences in complications, MacNab classification, postoperative disability and leg pain, and duration of hospitalization between the two groups.
Conclusion: Based on our findings, r-PELD provides a safe and effective alternative to conventional PELD for the treatment of lumbar disc herniations, with the accuracy for placement of punctures lowering radiation exposure.
A spatial decision support system for optimizing expansion of COVID immunization services
Authors: Ouma Paul O , Ngom Roland , Oyugi Boniface , Atuhebwe Phionah , Okeibunor Joseph , Baldé Thierno , Nanyunja Miriam 
Published: September 2022

Abstract

Background
Access to COVID 19 continues to be a significant challenge in most low- and middle-income countries. There have been longstanding health system barriers towards accessing services in these countries over time, with geographic barriers being significant particularly given majority of people live in rural areas with poor facility network coverage. There has been no systematic assessment of existing networks in addition to how they can be optimised.
Methods
Using Kenya as an example, we mapped facilities providing COVID immunization facilities in the country. We then used a cost distance algorithm to assess geographic access to these facilities using a model that adjusts for differences in travel speeds across differences in elevation, land use and travel roads. We then extracted populations living within 1 hour of these facilities as a proxy of access for the 47 counties in the country. Finally, we used the same cost distance parameters to select facilities that would be used to optimize selection of additional facilities that would move access to 80%.
Results
We identified 621 facilities that were administering COVID vaccines as of August 2021. The accessibility model highlighted that only 60% of the country’s population was living within 1 hour of these facilities. The scale up activity using the cost distance algorithm identified an additional 560 facilities that can be prioritised to move theoretical access to 80%. These were not evenly distributed in the country, with counties such as Kakamega, Mandera, Nakuru and Nandi having additional 30 facilities selected.
Discussion
We highlight that 2 in five adults in Kenya live more than one hour from the nearest COVID immunization facility and this may be a barrier towards achieving universal access. We also highlight where efforts to improve coverage by increasing cold chain services can be concentrated to improve access. Furthermore, results can be used to improve decision making on where other interventions like community campaigns can be actively pursued for universal coverage.
Room air versus 100% oxygen for delivery room resuscitation of preterm neonates: A randomized, blinded, controlled trial
Authors: Liyakat Nishath Ahmed , Kumar Praveen , Sundaram Venkataseshan 
Published: September 2022

Abstract

Purpose: International Liaison Committee on Resuscitation (ILCOR-2020) report recommend starting delivery room resuscitation of all preterm neonates of <35 weeks’ gestation with 21-30%. However, correct initial oxygen for resuscitation of preterm neonates in delivery room is inconclusive. In this blinded, randomized, controlled trial, we compared room air with 100% oxygen for oxidative stress and clinical outcomes in delivery room resuscitation of preterm neonates.
Methods: Preterm neonates (28-33 completed weeks) and requiring positive pressure ventilation (PPV) at birth were randomly allocated to room air or 100% oxygen. Patients, investigators, outcome assessors and data analysts were blinded. Rescue 100% oxygen was used whenever trial gas failed (need for PPV > 60 seconds or chest compression). Primary outcome: Plasma 8-Isoprostane levels at 4h of age. Secondary outcomes: mortality by discharge, bronchopulmonary dysplasia, retinopathy of prematurity and neurological status at 40 weeks post-menstrual age. All subjects were followed till discharge. Intention to treat analysis was carried out.
Results: A total of 124 neonates were randomized to room air (n=59) or 100% oxygen (n=65). Isoprostane level (in pg/ml) at 4 hours was similar in both the groups [Median (IQR): 280 (180-430) vs. 250 (173-360) p=0.47]. No difference was observed in mortality and other clinical outcomes. Room air group in comparison to 100% oxygen group had higher proportion of treatment failures [27 (46) vs. 16 (25%); RR1.9 (1.1-3.1)]; and took longer time to establish regular respiration [230 ± 231 vs. 182 ± 261, MD = 48 (40, 136)].
Conclusion: In preterm neonates of <34 weeks’ gestation requiring resuscitation in the delivery room, room air (21%) would not be the right gas to initiate resuscitation. Larger controlled trials involving multiple centers of LMIC are warranted for a conclusive answer.
Trial registration: CTRI/2012/04/002593 (Retrospective)
Individual risk attitudes arise from noise in neurocognitive magnitude representations
Authors: Garcia Miguel Barretto , de Hollander Gilles , Grueschow Marcus , Polania Rafael , Woodford Michael , Ruff Christian 
Published: September 2022

Abstract
Humans are generally risk averse: they prefer options with smaller certain outcomes over those with larger uncertain ones. This risk aversion is classically explained with a concave utility function, meaning that successive increases in monetary payoffs should increase subjective valuations by progressively smaller amounts. Here, we provide neural and behavioural evidence that risk aversion may also arise from a purely perceptual bias: The noisy logarithmic coding of numerical magnitudes can lead individuals to underestimate the size of larger monetary payoffs, leading to apparent risk aversion even when subjective valuation increases linearly with the estimated amount. A formal model of this process predicts that risk aversion should systematically increase when individuals represent numerical magnitudes more noisily. We confirmed this prediction by measuring both the mental and neural acuity of magnitude representations during a purely perceptual task and relating these measures to individual risk attitudes during separate financial decisions. Computational model fitting suggested that subjects based both types of choices on similar mental magnitude representations, with correlated precision across the separate perceptual and risky choices. Increased stimulus noise due to the presentation format of risky outcomes led to increased risk aversion, just as predicted by the model. The precision of the underlying neural magnitude representations was estimated with a numerical population receptive field model fitted to the fMRI data of the perceptual task. Subjects with more precise magnitude representations in parietal cortex indeed showed less variable behaviour and less risk-aversion in the separate financial choices. Our results highlight that individual patterns of economic behaviour may, at least partially, be determined by capacity limitations in perceptual processing rather than by processes that assign subjective values to monetary rewards.
Health Sciences students’ experience of COVID-19 case management and contact tracing in Cape Town, South Africa
Authors: Zweigenthal Virginia , Olckers Lorna , Perez Gonda , Wolmarans Karen 
Published: September 2022

Abstract
Background
COVID-19 has challenged health systems globally. Managing the epidemic in Cape Town, South Africa, required partnerships with universities and setting up of programmes for mass case and contact tracing (C&CT). Health sciences, predominantly medical students, as well as social work and psychology students formed the core of this telephone-based work over the 18 months when SARS-CoV-2 caused severe disease.
Methods
This qualitative study aimed to elicit students’ motivations for becoming involved in C&CT, their experiences and, recommendations for C&CT. After Cape Town’s first COVID-19 wave, six on-line focus groups comprising 23 students were conducted, and a further four were conducted with 13 students after the second wave. As the researchers were predominantly educators previously involved in undergraduate health sciences education, the study’s purpose was to reflect on students’ experiences to make educational and health system recommendations.
Results
Students were largely motivated to mitigate the impact of the epidemic on society and support people affected by COVID-19, as well as hone their professional skills. While these motivations were realised, students also needed to learn new skills and to manage responsibilities within the healthcare systems that did not always work smoothly, distressed cases who were financially insecure, difficult employers, and language barriers. They were prepared through training, and supported by virtual, yet effective teamwork and debriefing opportunities. Although the work was sometimes physically and emotionally exhausting, students found the work personally meaningful. They embraced public health’s role to protect population and individuals’ health.
Conclusion
The C&CT opportunity enabled students to become confident, work autonomously and navigate challenges they will encounter as young professionals. The programme demonstrated that opportunities for rich student learning can be embedded into public health and clinical functions of health services, and that partnerships between the health services and universities can be deepened to mutual benefit.
RNA recognition by Npl3p reveals U2 snRNA-binding compatible with a chaperone role during splicing
Authors: Moursy Ahmed , CLERY Antoine , Gerhardy Stefan , Betz Katharina M. , Rao Sanjana , Campagne Sébastien , Beusch Irene , Duszczyk Malgorzata , Robinson Mark , Panse Vikram , Allain Frederic 
Published: September 2022

Abstract
The conserved SR-like protein Npl3 promotes splicing of diverse pre-mRNAs. However, the RNA sequence(s) recognized by the RNA Recognition Motifs (RRM1 & RRM2) of Npl3 during the splicing reaction remain elusive. Here, we developed a split-iCRAC approach in yeast to uncover the consensus sequence bound to each RRM. High-resolution NMR structures show that RRM2 recognizes a 5´-GNGG-3´ motif leading to an unusual mille-feuille topology. These structures also reveal how RRM1 preferentially interacts with a CC-dinucleotide upstream of this motif, and how the inter-RRM linker and the region C-terminal to RRM2 contributes to cooperative RNA-binding. Structure-guided functional studies show that Npl3 genetically interacts with U2 snRNP specific factors and we provide evidence that Npl3 melts U2 snRNA stem-loop I, a prerequisite for U2/U6 duplex formation within the catalytic center of the Bact spliceosomal complex. Thus, our findings suggest an unanticipated RNA chaperoning role for Npl3 during spliceosome active site formation.
Isoform-specific knockdown of long and intermediate prolactin receptors interferes with evolution of B-cell neoplasms
Authors: Khani Adeleh Taghi , Kumar Anil , Ortiz Ashly Sanchez , Radecki Kelly , Lee Sung June , Hu Zunsong , Damirchi Behzad , Lorenson Mary , Wu Xiwei , Gu Zhaohui , Stohl William , Sanz Ignacio , Meffre Eric , Müschen Markus , Forman Stephen , Koff Jean , Walker Ameae , Swaminathan Srividya 
Published: September 2022

Abstract
Prolactin (PRL) is elevated in B-cell mediated lymphoproliferative diseases and promotes B-cell survival. However, whether PRL or PRL receptors drive the initiation, establishment, and sustenance of B-cell malignancies is unknown. We measured changes in B cells after knocking down the pro-proliferative, anti-apoptotic long isoform of the PRL receptor (LFPRLR) in vivo in systemic lupus erythematosus (SLE)- and B-cell lymphoma-prone mouse models, and the LFPRLR plus intermediate isoforms (LF/IFPRLR) in vitro in malignant human B cells. To knockdown LF/IFPRLRs without suppressing expression of the counteractive short PRLR isoforms (SFPRLRs), we employed splice-modulating DNA oligomers. In SLE-prone mice, LFPRLR knockdown reduced numbers and proliferation of B-cell subsets and lowered the risk of B-cell transformation by downregulating expression of activation-induced cytidine deaminase. LFPRLR knockdown in lymphoma-prone mice reduced B-cell numbers and their expression of BCL2. In overt human B-cell malignancies, LF/IFPRLR knockdown reduced B-cell viability and their MYC and BCL2 expression. Unlike their normal counterparts which produced no autocrine PRL and expressed SFPRLRs, malignant human B cells expressed autocrine PRL and often no SFPRLRs. Isoform-specific knockdown of the LF/IFPRLR was not toxic to mice or to normal human immune cells, suggesting it is a safe approach to block the evolution of B-cell malignancies.
Logistics management information system performance for laboratory commodities: the case of west Shoa zone public health facilities, Oromia regional state, Ethiopia. A facility-based concurrent explanatory mixed-method design
Authors: Dinka Ararsa , Tilahun Gizachew 
Published: September 2022

Abstract

Background
A logistics management information system is a mechanism of recording and reporting that captures, analyzes, and displays logistics data. It works well if trained and skilled people record, analyze, manage, validate and use it at all levels to make informed logistics decisions thus preventing shortages of commodities.
Objective
To assess the logistics management information system performance for laboratory commodities in the case of public health facilities of West Shoa zone, Oromia regional state, Ethiopia.
Methods
A facility-based concurrent explanatory mixed-method design was employed to assess the logistic management information system performance for laboratory commodities in public health facilities of West Shoa zone, Oromia regional state, Ethiopia from June 2021 to July 2021. Twenty health facilities were selected by using simple random sampling and purposively. Data were collected by reviewing logistic management information system tools. Data were checked for their completeness, coded, and entered into a statistical package for social sciences version 23 and analyzed using descriptive (percentage and frequency table) and inferential statistics (chi-square test). An in-depth interview was carried out to explore the challenges to logistic management information system performance and thematically analyzed.
Results
Logistic management information system tools availability ranges from 30–100% with utilization ranging from 15–95%. Data quality like timeliness and completeness of the reports were 80% and 75% with an 80% facility reporting rate. A significant association was observed between IFRR completeness and training pattern ꭓ2 (1, N = 109) = 4.127, P = 0.041, experience ꭓ2 (2, N = 109) = 12.203, P = 0.002, supervision ꭓ2 (5, N = 109) = 17.07, P = .004, and feedback ꭓ2 (4, N = 109) = 10.037, P = 0.04. Staff turnover, workload, and inadequate manpower were major challenges identified.
Conclusion
The availability and utilization of logistic management information system tools need improvement. Data quality like bin card accuracy, timeliness, and completeness still needs focus. Staff turnover, lack of commitment, workload and inadequate manpower were the challenges identified.