bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Collective Scene
Authors: Estella Iñaki 
Published: November 2021

AbstractThis article offers an analysis, though necessarily fragmented and incomplete, of travesti cabaret during the 1960s and 1970s in fascist Spain. It explores in particular the cabaret shows of travestis in Barcelona, as well as the admiration and recognition that they produced. The study focuses on the political capacities that privacy and closed spaces generated in an environment of dictatorship, albeit through a certain presence of the public as audience. From this analysis follows a problematization of the conception of the public as the ideal location for politics, particularly the street, as well as their possibilities for resistance. This essay seeks a reassessment of intimate spaces for sharing experiences that ultimately affect and condition the necessity of public representation.
Prostate-specific membrane antigen (PSMA) fusion imaging in prostate cancer: PET–CT vs PET–MRI
Authors: Liu Feng-Yuan , Sheng Ting-Wen , Tseng Jing-Ren , Yu Kai-Jie , Tsui Ke-Hong , Pang Se-Tong , Wang Li-Jen , Lin Gigin 
Published: November 2021

Objectives:
To investigate whether PET–CT or PET–MRI is more appropriate for imaging prostate cancer, in terms of primary tumor detection, local staging and recurrence, as well as lymph nodes and distant metastases.

Methods:
A systematic literature search was conducted on Embase, PubMed/MEDLINE, and the Cochrane Library database. Studies evaluating the diagnostic performance of PET–CT vs PET–MRI in prostate cancer patients were emphasized.

Results:
We reviewed 57 original research articles during the period 2016–2021: 14 articles regarding the radiotracer PSMA; 18 articles regarding the primary tumor detection, local tumor staging, managing local recurrence; 17 articles for managing lymph node metastases; and eight articles for managing bone and other distant metastases. PSMA PET could be complementary to mpMRI for primary prostate cancer localization and is particularly valuable for PI-RADS three lesions. PET–MRI is better than PET–CT in local tumor staging due to its specific benefit in predicting extracapsular extension in MRI-occult prostate cancer patients. PET–MRI is likely superior as compared with PET–CT in detecting local recurrence, and has slightly higher detection rates than PET–CT in lymph node recurrence. PET–CT and PET–MRI seem to have equivalent performance in detecting distant bony or visceral metastases.

Conclusion:
In conclusion, PET–MRI is suitable for local and regional disease, either primary staging or restaging, whereas PET–CT is valuable for managing distant bony or visceral metastasis.

Advances in knowledge:
We reviewed the emerging applications of PET–MRI and PET–CT in clinical aspects. Readers will gain an objective overview on the strength and shortfalls of PET–MRI or PET–CT in the management of prostate cancer.
Utility and significance of clinical risk factor scoring model in predicting central compartment lymph node metastasis (CLNM) in patients with papillary thyroid cancer (PTC)
Authors: Shen Wei , Pan Xiao-jia , Li Qing-huai 
Published: November 2021

Objectives: To establish and discuss the significance of a clinical risk factor scoring model in predicting central compartment lymph node metastasis (CLNM) (level VI) in patients with papillary thyroid cancer (PTC).
Methods: A retrospective analysis was performed on 412 patients who underwent surgical treatment for PTC who were admitted to the Second Hospital of Hebei Medical University between July 2016 and May 2017, with the patients being divided into a CLNM group and a non-metastasis (NM) group. Risk factors such as sex, age, tumor diameter, capsular invasion, multifocality, and tumor location were recorded for scoring via maximum likelihood estimation (MLE)-based discriminant analysis. The scoring model was used for prospective analysis of CLNM in another 104 patients. Besides, the discriminant function that was developed using the risk factors based on the retrospective data derived from the 412 patients was evaluated by plugging the retrospective data in for specified variables, with a higher score indicating a greater risk of developing CLNM. Clinical diagnosis of CLNM was based on postoperative paraffin section pathology, which was adopted as the criterion to assess discriminative accuracy in the prospective and retrospective groups.
Results: The discriminative accuracy of the scoring model was 71.8% in the retrospective group and 72.2% in the prospective group.
Conclusions: The scoring model enables simplified, quantitative analysis of CLNM in PTC patients. The scoring model has clinical significance in that it provides a basis for the choice of operation, personalized postoperative treatment, and prognosis of PTC.
doi: https://doi.org/10.12669/pjms.38.1.4450
How to cite this:Shen W, Pan X, Li Q. Utility and significance of clinical risk factor scoring model in predicting central compartment lymph node metastasis (CLNM) in patients with papillary thyroid cancer (PTC). Pak J Med Sci. 2022;38(1):214-218. doi: https://doi.org/10.12669/pjms.38.1.4450
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Nurse Led Extubation in Adult PACU - A Lean Process
Authors: Memon Zulfiqar , Gladney Andrew , Thomas Jubil , Lal Shankar 
Published: November 2021

doi: https://doi.org/10.12669/pjms.38.1.5337
How to cite this:Memon Z, Gladney A, Thomas J, Lal S. Nurse Led Extubation in Adult PACU - A Lean Process. Pak J Med Sci. 2022;38(1):330. doi: https://doi.org/10.12669/pjms.38.1.5337
Identification of potential inhibitors of SARS-CoV-2 S protein–ACE2 interaction by in silico drug repurposing
Authors: Tristán-Flores Fabiola E , Casique-Aguirre Diana , Pliego-Arreaga Raquel , Cervantes-Montelongo Juan A , García-Gutierrez Ponciano , Acosta-García Gerardo , Silva-Martínez Guillermo A 
Published: November 2021

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a new coronavirus discovered that appeared in Wuhan, China, in December 2019, causes COVID-19 disease which have resulted in cases similar to SARS-atypical pneumonia. Worldwide, around 116 million cases and 2.57 million deaths are reported with new cases and increasing mortality every day. To date, there is no specific commercial treatment to control the infection. Repurpose drugs targeting the angiotensin-converting enzyme 2 (ACE2) receptor represents an alternative strategy to block the binding of SARS-CoV-2 protein S and forestall virus adhesion, internalization, and replication in the host cell. Methods: We performed a rigid molecular docking using the receptor binding domain of the S1 subunit of S protein (RBD S1)-ACE2 (PDB ID: 6VW1) interaction site and 1,283 drugs FDA approved. The docking score, frequency of the drug in receptor site, and interactions at the binding site residues were used as analyzing criteria. Results: This research yielded 40 drugs identified as a potential inhibitor of RBD S1-ACE2 interaction. Among the inhibitors, compounds such as ipratropium, formoterol, and fexofenadine can be found. Specialists employ these drugs as therapies to treat chronic obstructive pulmonary disease, asthma and virtually any respiratory infection. Conclusions: Our results will serve as the basis for in vitro and in vivo studies to evaluate the potential use of those drugs to generate affordable and convenient therapies to treat COVID-19.
Conceptual design of smart multi-farm produce dehydrator using a low-cost programmable logic controller and raspberry pi
Authors: Oluwaleye Sunkanmi , Oguntosin Victoria , Idachaba Francis 
Published: November 2021

Background: Acceptable food processing techniques require the removal of water contents from the crop or food sample without destroying the nutritional qualities of the food sample. This poses a strict requirement on the dehydrator or oven that will be used in the dehydrating techniques to have the ability to control both temperature and humidity of its drying chamber. Methods: This work centres on how an autonomous multi-farm produce dehydrator that can also serve as an oven can be designed with a raspberry pi and a low-cost programmable logic controller (PLC). The dehydrator gives the users the flexibility to control both the drying chamber’s temperature and humidity from its web interface via a mobile device or the dehydrator’s HMI. Heat energy from the Liquid Petroleum Gas (LPG) is used so that the dehydrator can be readily available for commercial or industrial use. The small electricity required to power the electronics devices is obtained from the hybrid power solution with an electric energy source from either the mains electricity supply or solar.. The design was tested by creating an operation profile from the proposed web application for the dehydrator. The operation trend was analysed from the web application’s Trendlines page. Results: The report showed that both the temperature and humidity of the dehydrator could be controlled, and access to historical operation data will give insight to the user on how to create a better operation profile. Conclusion: The setup described in this work, when implemented was able to produce a dehydrator/oven whose temperature and humidity can be perfectly controlled and its generated heat is evenly distributed in its drying chamber to ensure efficient and effective drying techniques use in crop preservation and food processing.
An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms
Authors: Anbananthen Kalaiarasi Sonai Muthu , Subbiah Sridevi , Chelliah Deisy , Sivakumar Prithika , Somasundaram Varsha , Velshankar Kethaarini Harshana , Khan M.K.A.Ahamed 
Published: November 2021

Background: In recent times, digitization is gaining importance in different domains of knowledge such as agriculture, medicine, recommendation platforms, the Internet of Things (IoT), and weather forecasting. In agriculture, crop yield estimation is essential for improving productivity and decision-making processes such as financial market forecasting, and addressing food security issues. The main objective of the article is to predict and improve the accuracy of crop yield forecasting using hybrid machine learning (ML) algorithms. Methods: This article proposes hybrid ML algorithms that use specialized ensembling methods such as stacked generalization, gradient boosting, random forest, and least absolute shrinkage and selection operator (LASSO) regression. Stacked generalization is a new model which learns how to best combine the predictions from two or more models trained on the dataset. To demonstrate the applications of the proposed algorithm, aerial-intel datasets from the github data science repository are used. Results: Based on the experimental results done on the agricultural data, the following observations have been made. The performance of the individual algorithm and hybrid ML algorithms are compared using cross-validation to identify the most promising performers for the agricultural dataset. The accuracy of random forest regressor, gradient boosted tree regression, and stacked generalization ensemble methods are 87.71%, 86.98%, and 88.89% respectively. Conclusions: The proposed stacked generalization ML algorithm statistically outperforms with an accuracy of 88.89% and hence demonstrates that the proposed approach is an effective algorithm for predicting crop yield. The system also gives fast and accurate responses to the farmers.
Nutrient dynamics in water and soil under conventional rice cultivation in the Vietnamese Mekong Delta
Authors: Ngan Nguyen Vo Chau , Thao Huynh Van , Giang Nam Nguyen Dinh 
Published: November 2021

Background The evaluation of nutrient variability plays a crucial role in accessing soil potentials and practical intervention responses in rice production systems. Synthetic fertilizer applications and cultivation practices are considered key factors affecting nutrient dynamics and availability. Here, we assessed the nutrient dynamics in surface, subsurface water and soil under local water management and conventional rice cultivation practices in the Vietnamese Mekong Delta. Methods We implemented a field experiment (200 m 2) in the 2018 wet season and the 2019 dry season in a triple rice-cropping field. Eight samples of surface water, subsurface water (30–45 cm), and topsoil (0–20 cm) were collected and analysed during the rice-growing seasons. Results The results showed that N-NH 4+, P-PO 43- and total P peaks were achieved after fertilizing. Irrespective of seasons, the nutrient content in surface water was always greater than that of subsurface water (P<0.001), with the exception of N-NO 3-, which was insignificant (P>0.05). When comparing the wet and dry seasons, nutrient concentrations exhibited minor differences (P>0.05). Under conventional rice cultivation, the effects of synthetic fertilizer topdressing on the total N, soil organic matter (SOM), and total P were negligible in the soil. Higher rates of N fertilizer application did not significantly increase soil N-NH 4+, total N, yet larger P fertilizer amounts substantially enhanced soil total P (P<0.001). Conclusions Under conventional rice cultivation, N-NH 4+, P-PO 43- and total P losses mainly occur through runoff rather than leaching. While N-NO 3- loss is similar in surface water and subsurface water. Notably, nutrient content in soil was high; whilst SOM was seen to be low-to-medium between seasons. Future work should consider the nutrient balance and dynamic simulation in the lowland soil of the Vietnamese Mekong Delta’s paddy fields.
Impact of sublethal pyrethroid exposure on resistant Anopheles gambiae mosquitoes’ fitness
Authors: Fodjo Behi Kouadio , Kropf Alida , Gonse Zoh Marius , Gba Sadia Christabelle , France-Paraudie Kouadio Affoué , Guibéhi Benjamin Koudou , Seidou Mouhamadou Chouaïbou 
Published: November 2021

Background: There is increasing evidence of insecticide resistance spreading among wild mosquito populations, which is widely believed to compromise vector control once it reaches a threshold that enables mosquitoes to survive exposure to long lasting treated bed-net (LLIN) or indoor residual spraying (IRS). However, very little is known about the long-term impact of insecticide resistance on malaria transmission, which makes the consequence of insecticide resistance spreading difficult to predict. Methods: To gain more clarity, we have assessed five life-history traits of a resistant Anopheles gambiae laboratory strain that was repeatedly exposed to a LLIN and compared with individuals issued from the same strain but exposed to an untreated bed-net. Results: Out of the five measured life-history traits, four were significantly affected by exposure to insecticides. Indeed, the Kolmogorov-Smirnov non-parametric test revealed a significant (i) drop in blood feeding mean rates (P=0.000000494), (ii) increase in 24-hours post-exposure (P= 0.000008559) and (iii) end of gonotrophic cycle mortality (P =0.0005749), and (iv) drop in egg laying rate (P=0.000107) when mosquitoes were exposed. Conclusion: Our study shows that in a context of widespread of resistance to insecticides, current pyrethroid-based vector control tools can still confer protection against malaria
Bacterial uropathogens and burden of antimicrobial resistance pattern in urine specimens referred to Ethiopian Public Health Institute
Authors: Addis Tesfa , Mekonnen Yonas , Ayenew Zeleke , Fentaw Surafel , Biazin Habtamu 
Published: November 2021

Background
Urinary tract infections (UTIs) are the leading causes of morbidity in the general population, and is the second most common infectious disease after respiratory infections. Appropriate antibiotic therapy is essential to achieving good therapeutic results. Therefore, the purpose of this study was to investigate the profile of pathogens cultured from urinary tract infections and to determine their resistance profiles to commonly prescribed antibiotics.

Method
A cross-sectional study was carried out at the National Referral Laboratory of the Ethiopian Institute of Public Health from January 2017 to December 2018. All positive cultures were characterized by colony morphology, Gram stain, and standard biochemical tests. The antimicrobial susceptibility test of the isolate was performed using the Kirby- Bauer disk diffusion test on Muller-Hinton agar. In addition, bacterial identification, antimicrobial susceptibility testing and phenotypic detection of MDR were performed with VITEK 2 Compact according to the manufacturer’s instructions.

Result
Out of 1012 cultured urine specimens, 325 (32.1%) was showed significant bacteriuria. The overall prevalence of UTIs was 325(32.1%) and the highest prevalence rate was obtained from 21–30 years age group 73(22.5%). Among UTIs patients, 583(57.6%) were females and 429(42.4%) were males. The UTIs of 179 (55%) women is relatively higher than that of men 146 (45%). Among 325 isolates, Gram-negative bacteria (GNB) appeared more frequently 252 (51.7%) than Gram-positive bacteria 63 (19.4%).
In GNB, E. coli 168(66.7%), Klebsiella species 32(12.7%), and Enterobacter species 13 (5.2%) were dominated isolates whereas in GPB accounted for coagulase-negative staphylococcus (CoNS) 33(52.4%), Enterococcus species 16(25.4%), and Staphylococcus aureus 10(15.9%). Major of the isolates showed high levels of antibiotic resistance to commonly prescribed antimicrobials. Imipenem, Amikacin, and Nitrofurantoin were the most sensitive antibiotics for Gram-negative isolates while Nitrofurantoin, clindamycin, and Gentamycin were effective against gram-positive uropathogens. Overall, 156/256(60.9%), 56/256(22.4%), 10/256(4%) of gram-negative isolates were MDR, XDR, and PDR respectively while among the GPB isolates, 34/63(53.1%), 10/63(15.8%), and 1/63(1.6%) were MDR, XDR, and PDR isolates respectively. Among the tested bacterial strains, 190/319 (59.5%) were MDR, 66/319 (20.7%) strains were XDR, and 11/319 (3.45%) were PDR isolated.

Conclusion
The prevalence of urinary tract infection was high, and Gram-negative organisms were the most common causes of UTIs in this study. It was found that the resistance to commonly used antibiotics is very high. Early detection and close monitoring of MDR, XDR, or even PDR bacterial strains must be started by all clinical microbiology laboratories to reduce the menace of antimicrobial resistance that is now a global problem.
Water Suspension and its Effect on Total Light Attenuation in Lake Waters
Authors: Akulova O.B. , Bukatyi V.I. , Kirillov V.V. , Frolenkov O.M. 
Published: November 2021

The paper presents the data obtained by the authors in 2012-2021 during field trips to freshwater reservoirs of Altai Krai. According to hydro-optical measurements, values of light attenuation index in the range of 400-800 nm calculated using the natural logarithm varied greatly within 2.3-19.7 m-1 and 2.9-35.0 m-1 in the surface layer of lakes Lapa and Krasilovskoye during the study period. The relative spectral contribution of water suspension and contributions of yellow matter, chlorophyll, and pure water constituents at wavelengths of 430, 550, and 670 nm were estimated to assess the optical effect of water suspension on the total light attenuation index. The calculation results demonstrated that water suspension had the maximum effect on light attenuation in waters of eutrophic lake Lapa during the autumn-winter period. The maximum effect at all three wavelengths was observed in autumn of 2015, and the contribution of water suspension to light attenuation reached 88.5%, whereas its minimum (1.8-2.4 %) was recorded in 2017. The maximum contribution of water suspension on light attenuation in waters of eutrophic-hypereutrophic lake Krasilovskoye slightly exceeded the value of 70% during the winter of 2014. The next maximums were revealed during the spring of 2014 and had values of 71.3 % at λ =430 nm and 71.1 % at λ =550 nm.
Optical microscopy was used to estimate the size and concentration of water suspense particles. The average weighted value of radius for water suspense particles in the surface layer of lakes Lapa and Krasilovskoye was found to be 1.2 and 1.4 microns, respectively. The average particulate count for water suspense during the observation period varied in the range of 0.2·106 cm-3-14.7·106 cm-3 with values of 3.3·106 cm-3 for lake Lapa and 3.0·106 cm-3 for lake Krasilovskoye.
On Invariant Semisymmetric Connections on Three-Dimensional Non-Unimodular Lie Groups with the Metric of the Ricci Soliton
Authors: Vylegzhanin D.V. , Klepikov P.N. , Rodionov E.D. , Khromova O.P. 
Published: November 2021

Metric connections with vector torsion, or semisymmetric connections, were first discovered by E. Cartan. They are a natural generalization of the Levi-Civita connection. The properties of such connections and the basic tensor fields were investigated by I. Agrikola, K. Yano, and other mathematicians.
Ricci solitons are the solution to the Ricci flow and a natural generalization of Einstein's metrics. In the general case, they were investigated by many mathematicians, which was reflected in the reviews by H.-D. Cao, R.M. Aroyo — R. Lafuente. This question is best studied in the case of trivial Ricci solitons, or Einstein metrics, as well as the homogeneous Riemannian case.
This paper investigates semisymmetric connections on three-dimensional Lie groups with the metric of an invariant Ricci soliton. A classification of these connections on three-dimensional non-unimodularLie groups with the left-invariant Riemannian metric of the Ricci soliton is obtained. It is proved that there are nontrivial invariant semisymmetric connections in this case. In addition, it is shown that there are nontrivial invariant Ricci solitons.
Agilität und Weltkulturerbe: Erfahrungen mit sieben Jahren agilen Methoden an der Staatsbibliothek zu Berlin – Eine Fallstudie II/II
Authors: Zellhöfer David 
Published: November 2021

Zusammenfassung
Die zweiteilige Artikelreihe beschreibt die Einführung und Etablierung agiler Methoden an der Staatsbibliothek zu Berlin im Rahmen der digitalen Transformation. Der vorliegende Artikel präsentiert dabei die gewonnenen Erkenntnisse aus dem Einführungsprozess agiler Zusammenarbeit und diskutiert Lösungsansätze, um mit typischen Herausforderungen umzugehen. Abschließend werden die gewonnenen Erfahrungen in den Kontext der Transformation der Stiftung Preußischer Kulturbesitz gestellt und Handlungsempfehlungen abgeleitet.