bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oil palm in the 2020s and beyond: challenges and solutions
Authors: Murphy Denis J. , Goggin Kirstie , Paterson R. Russell M. 
Published: October 2021

Abstract
Background
Oil palm, Elaeis guineensis, is by far the most important global oil crop, supplying about 40% of all traded vegetable oil. Palm oils are key dietary components consumed daily by over three billion people, mostly in Asia, and also have a wide range of important non-food uses including in cleansing and sanitizing products.

Main body
Oil palm is a perennial crop with a > 25-year life cycle and an exceptionally low land footprint compared to annual oilseed crops. Oil palm crops globally produce an annual 81 million tonnes (Mt) of oil from about 19 million hectares (Mha). In contrast, the second and third largest vegetable oil crops, soybean and rapeseed, yield a combined 84 Mt oil but occupy over 163 Mha of increasingly scarce arable land. The oil palm crop system faces many challenges in the 2020s. These include increasing incidence of new and existing pests/diseases and a general lack of climatic resilience, especially relating to elevated temperatures and increasingly erratic rainfall patterns, plus downstream issues relating to supply chains and consumer sentiment. This review surveys the oil palm sector in the 2020s and beyond, its major challenges and options for future progress.

Conclusions
Oil palm crop production faces many future challenges, including emerging threats from climate change and pests and diseases. The inevitability of climate change requires more effective international collaboration for its reduction. New breeding and management approaches are providing the promise of improvements, such as much higher yielding varieties, improved oil profiles, enhanced disease resistance, and greater climatic resilience.
Pre-hospital, in-hospital and post-hospital factors associated with sleep quality among COVID-19 survivors 6 months after hospital discharge: cross-sectional survey in five cities in China
Authors: Fu Leiwen , Fang Yuan , Luo Dan , Wang Bingyi , Xiao Xin , Hu Yuqing , Ju Niu , Zheng Weiran , Xu Hui , Yang Xue , Chan Paul Shing Fong , Xu Zhijie , Chen Ping , He Jiaoling , Zhu Hongqiong , Tang Huiwen , Huang Dixi , Hong Zhongsi , Ma Xiaojun , Hao Yanrong , Cai Lianying , Yang Jianrong , Ye Shupei , Yuan Jianhui , Chen Yao-Qing , Xiao Fei , Wang Zixin , Zou Huachun 
Published: October 2021

Background
Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development.

Aims
This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge.

Method
Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted.

Results
Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = −1.15, 95% CI = −1.70, −0.33) or death (adjusted B = −1.55, 95% CI = −2.62, −0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = −0.26, 95% CI = −0.31, −0.20), anxiety symptoms (adjusted B = −0.25, 95% CI = −0.33, −0.17), post-traumatic stress disorders (adjusted B = −0.16, 95% CI = −0.22, −0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10).

Conclusions
COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.
Ketamine Alleviates Depressive Symptoms in Patients Undergoing Intracranial Tumor Resection: A Randomized Controlled Trial
Authors: Zhou Yang , Sun Wanchen , Zhang Guofu , Wang Anxin , Lin Song , Chan Matthew T. V. , Peng Yuming , Wang Gang , Han Ruquan 
Published: October 2021

BACKGROUND:
Depressive symptoms occur in over 40% of neurosurgical patients during the perioperative period. However, no measure has been suggested to have a rapid effect on depressive surgical patients during increasingly shorter stays in the hospital. This study aimed to determine whether ketamine could improve depressive symptoms rapidly and safely during the hospital stay.

METHODS:
This was a randomized, placebo-controlled, and double-blinded trial. Patients with moderate-to-severe depressive symptoms undergoing elective supratentorial brain tumor resection were randomized to intravenously receive either (1) 0.5 mg·kg−1 ketamine for 40 minutes or (2) an identical volume of normal saline. The primary outcome was treatment response on postoperative day 3, defined as a ≥50% reduction from the baseline depressive score. The secondary outcomes included the rate of remission and safety outcomes. The Montgomery-Åsberg Depression Rating Scale was applied by trained psychiatrists to evaluate depressive symptoms.

RESULTS:
A total of 84 neurosurgical patients were enrolled in the trial. The response rate was increased by the administration of ketamine (41.5% [17/41] vs 16.3% [7/43]; relative risk [RR]: 2.51, 95% confidence interval [CI], 1.18–5.50) relative to the administration of placebo at 3 days. Furthermore, the remission rate at discharge (29.3% [12/41] vs 7.0% [3/43]; RR: 4.20, 95% CI, 1.28–13.80) was also improved by ketamine. No psychotic symptoms or adverse events were reported to be substantially higher in the ketamine group.

CONCLUSIONS:
The trial indicates that the intraoperative administration of ketamine could alleviate moderate-to-severe depressive symptoms in neurosurgical patients without worsening safety.
Prediction of Tensile Strength of 3D Printed Bronze PLA Part Using Response Surface Modelling
Authors: Palanisamy Chockalingam , Nagarajan Sugendran 
Published: October 2021

Background - 3D printing is a dynamic process with many process parameters influencing the product, including the type of the material; it is often difficult to understand the combined influence of these parameters.  Purpose - The tensile strength of 3D printed parts is important for the functionality of components. The effects of process parameters on tensile strength must therefore be examined. The objective of this study is to develop a response surface model (RSM) to predict the final quality of a 3D printed bronze part from a different set of input parameters.  Methods - The tensile test specimen was built in a Makerbot 3D printer with bronze polylactic acid (PLA) material. The three controllable input parameters were; thickness of layers, number of shells, and infill density. The three levels of layer thickness were 0.1mm, 0.2mm and 0.3mm. The number of shells was 2, 3 and 4. The infill densities were 20%, 30% and 40%. A tensile experiment tested the strength of the specimens. RSM is a statistical approach for modelling and analyzing how different variables affect the response of interest, and for optimizing it.  Results - The result obtained shows that the specimen with a high layer thickness of 0.3mm and infill density of 40% is the best among all the other parameters. Finally, the regression equation produced was used for random values of layer thickness, the number of shells, and infill density, to see whether the values obtained from the tests fall into the range of experimental data.  Conclusion - Infill density and layer thickness are the two criteria that significantly influence the tensile property. The number of shells has the least influence on the tensile property. However, the best tensile strength is the part printed with higher infill density, a greater number of shells, and higher layer thickness.
Self-management interventions for Type 2 Diabetes: systematic review protocol focusing on patient workload and capacity support
Authors: Hanlon Peter , Bryson Iona , Morrison Holly , Rafiq Qasim , Boehmer Kasey , Gionfriddo Michael R , Gallacher Katie , May Carl , Montori Victor , Lewsey Jim , McAllister David A , Mair Frances S 
Published: October 2021

Introduction: People living with type 2 diabetes undertake a range of tasks to manage their condition, collectively referred to as self-management. Interventions designed to support self-management vary in their content, and efficacy. This systematic review will analyse self-management interventions for type 2 diabetes drawing on theoretical models of patient workload and capacity. Methods and analysis: Five electronic databases (Medline, Embase, CENTRAL, CINAHL and PsycINFO) will be searched from inception to 27th April 2021, supplemented by citation searching and hand-searching of reference lists. Two reviewers will independently review titles, abstracts and full texts. Inclusion criteria include Population: Adults with type 2 diabetes mellitus; Intervention: Randomised controlled trials of self-management support interventions; Comparison: Usual care; Outcomes: HbA1c (primary outcome) health-related quality of life (QOL), medication adherence, self-efficacy, treatment burden, healthcare utilization (e.g. number of appointment, hospital admissions), complications of type 2 diabetes (e.g. nephropathy, retinopathy, neuropathy, macrovascular disease) and mortality; Setting: Community. Study quality will be assessed using the Effective Practice and Organisation of Care (EPOC) risk of bias tool. Interventions will be classified according to the EPOC taxonomy and the PRISMS self-management taxonomy and grouped into similar interventions for analysis. Clinical and methodological heterogeneity will be assessed within subgroups, and random effects meta-analyses performed if appropriate. Otherwise, a narrative synthesis will be performed. Interventions will be graded on their likely impact on patient workload and support for patient capacity. The impact of these theoretical constructs on study outcomes will be explored using meta-regression. Conclusion This review will provide a broad overview of self-management interventions, analysed within the cumulative complexity model theoretical framework. Analyses will explore how the workload associated with self-management, and support for patient capacity, impact on outcomes of self-management interventions. Registration number: PROSPERO CRD42021236980.
Ultra-compact in-core-parallel-written FBG and Mach–Zehnder interferometer for simultaneous measurement of strain and temperature
Authors: Tian Ke , Zhang Mingyuan , Zhao Zhiyuan , Wang Ruoning , Liu Dejun , Wang Xin , Lewis Elfed , Farrell Gerald , Wang Pengfei 
Published: October 2021

An ultra-compact in-core-parallel-written fiber Bragg grating (FBG) and Mach–Zehnder interferometer (MZI) for simultaneous measurement of strain and temperature is described. The FBG and MZI are written spatially parallel in the same section of fiber core using a femtosecond laser, forming an ultra-compact device, which is different from the previously developed axial cascade of different structures. Due to the weak coupling between the FBG and the MZI, their individual extinction ratios are traded off by optimizing their writing position and separation, and extinction ratios of 5.9 dB for the FBG and 10 dB for the MZI are achieved. Experimental results show that the FBG and MZI have different sensitivities for strain and temperature, allowing this device to measure strain and temperature simultaneously. In addition, since both the FBG and MZI are written in the fiber core, this ultra-compact device is proven to be impervious to ambient humidity, making it a promising candidate for accurate industrial strain and temperature measurements.
El poder de los cuerpos: el desarrollo de la sexualidad y la práctica del aborto en Del rojo de su sombra de Mayra Montero, Wide sargasso sea de Jean Rhys y Moi, Tituba, sorcière… Noire de Salem de Marysé Condé. Un estudio comparado.
Authors: Swindt Pamela 
Published: October 2021

En este trabajo se analizan las manifestaciones de la sexualidad y la práctica del aborto como elementos de subversión respecto al sistema opresivo colonial y patriarcal que constriñe la libertad de las mujeres protagonistas en tres textos literarios producidos por escritoras caribeñas: Del rojo de su sombra (1992) de Mayra Montero, Wide Sargasso Sea (1966) de Jean Rhys y Moi, Tituba sorcière… Noire de Salem (1986) de Marysé Condé.
Los procesos de reescritura que dieron lugar a los textos revelan voces soslayadas por la historia y la literatura a partir del distanciamiento con los modelos femeninos imperantes y la (re)valorización del descubrimiento del cuerpo, las experiencias sexuales y sus prácticas.
Struktur Sel Sekresi Daun Jeruk Kalamansi (Citrus microcarpa Bunge.) di Pulau Ambon
Authors: Horowidi Christina , Sinay Hermalina , Karuwal Ritha Lusian , Parinussa Lona 
Published: October 2021

Perbedaan lokasi tumbuh dapat mengakibatkan perbedaan penampilan fenotipik tanaman yang dapat diamati secara morfologi dan anatomi seperti struktur anatomi sel sekretori. Tujuan penelitian ini adalah untuk mengetahui struktur sel sekretori daun jeruk kalamansi di pulau Ambon. Metode jelajah dilakukan pada 13 lokasi di Pulau Ambon untuk koleksi sampel, dan pada setiap lokasi diambil 3 tanaman sebagai 3 ulangan. Tiap tanaman diambil 5 daun pada setiap sisi pohon tanaman jeruk kalamansi dengan ukuran panjang 5-7 cm dan warna hijau tua. Pembuatan preparat mengikuti metode free hand section. Pengamatan menggunakan kamera Optilab pada mikroskop Olympus dengan perbesaran 400x. Pengukuran diameter sel menggunakan fitur measure pada software Image Ruster. Data kualitatif berupa struktur sel sekresi daun jeruk Kalamansi ditampilkan dalam bentuk gambar dan dideskripsikan sesuai hasil yang terlihat, sedangkan data hasil pengukuran diameter sel sekresi adalah rerata 3 ulangan dan ditampilkan sebagai mean ± standar deviasi (SD). Hasil penelitian menunjukkan adanya sel sekretori yang berjumlah satu sel. Struktur sel sekretori terdiri dari sel epitel, sel selubung, dan rongga sekretori. Bentuk sel sekresi ada yang bulat dan lonjong. Diameter rongga sekretori berkisar antara 106,08-167,60 µm. Berdasarkan hasil penelitian, maka dapat disimpulkan bahwa sel sekresi pada daun jeruk kalamansi pada lokasi-lokasi berbeda di Pulau Ambon bervariasi baik bentuk maupun ukurannya. Differences in habitat can induce differences in the phenotypic appearance of plants that can be observed morphologically and anatomically such as the anatomical structure of secretory cells. The purpose of this study was to determine the structure of the secretory cells in the leaves of Calamansy citrus in Ambon island. Tracking method was done for sample collections, and at each location 3 plants were taken as replicates. Each plant was taken 5 leaves with a length of 5-7 cm and dark green color. Prior to be observed, the fresh sample was done with free-hand section method. Microscopy observations were done by a light microscope at 400x magnification. Measurement of cell diameter was done by the measure feature in Image Ruster software. Qualitative data such as secretory cell structures of Calamansy citrus leaves were shown in form of images and described according to the results, while the data of the measurement of secretory cell diameters is the average of 3 replications and was shown as mean ± standard deviation (SD). The results showed the presence of secretory cells which amounted to one cell. The secretory cell structure is composed of epithelial cells, sheath cells, and secretory cavities. Cell shapes vary, including round and oval. The diameter of the secretory cell cavity ranges from 106.08-167.60 µm.
On partially Schur-constant models and their associated copulas
Authors: Lefèvre Claude 
Published: October 2021

Abstract
Schur-constant vectors are used to model duration phenomena in various areas of economics and statistics. They form a particular class of exchangeable vectors and, as such, rely on a strong property of symmetry. To broaden the field of applications, partially Schur-constant vectors are introduced which correspond to partially exchangeable vectors. First, their copulas of survival, said to be partially Archimedean, are explicitly obtained and analyzed. Next, much attention is devoted to the construction of different partially Schur-constant models with two groups of exchangeable variables. Finally, partial Schur-constancy is briefly extended to the modeling of nested and multi-level dependencies.
STEAM Practices to Explore Ancient Architectures Using Augmented Reality and 3D Printing with GeoGebra
Authors: Bedewy Shereen El , Choi Kyeongsik , Lavicza Zsolt , Fenyvesi Kristof , Houghton Tony 
Published: October 2021

Abstract
In this study, we develop mathematical educational practices for students to explore ancient buildings using GeoGebra, Augmented Reality and 3D printing. It is an interdisciplinary approach, intertwining history, culture, mathematics, and engineering. For example, the 3D modelling of Cheomseongdae in Korea and the Temple of Dendera in Egypt can enable students to practice a multimodal set of traditional and innovative learning approaches. Students might use their mathematical knowledge to reflect on architectural and cultural history in a modeling task.
Allocation of risk factors for geodetic tasks in construction schedules
Authors: Kowacka Magdalena , Skorupka Dariusz , Duchaczek Artur , Waniewska Agnieszka , Dudziak-Gajowiak Dominika 
Published: October 2021

Abstract
Road construction projects are characterized by multitasking and the influence of the correct implementation of one task on another. In the subject literature, we can encounter the analysis of risk factors throughout the project, and yet, we rarely find the distinction and characteristics of the impact of risk factors resulting from the implementation of planning and measurement tasks, the correctness and timeliness that have a huge impact on the performance of subsequent tasks, and the success of the project. Additionally, attention should be paid on the distinction between design work and the implementation of construction. During the implementation of construction works, we are more capable of detecting errors faster at the initial stage than at the stage of performing measurements, which suggests the need to focus on minimizing the occurrence of risk factors at the initial stage. Therefore, two questions have been asked. How to quantify the risk factors of geodetic works in road construction projects? How to allocate quantified risk factors of geodetic works in the schedule? The following article presents the description and the example of the practical use of the risk assessment procedure of geodetic works and risk allocation in the schedule based on the MORAG method (Method of Risk Analysis for Geodesy), which is the original method of risk analysis of geodetic works in road construction projects. As a result of these works, the risk values for the i-th risk factor and i-th geodetic task were determined, considering the increase in the duration of the work, the increase in the costs of the work, and all evaluation criteria. Then, the extension was described and calculated based on the data obtained from the actual implementation of the road construction project, the value, which in this case is 11.05 days, was entered into the modified schedule. The results of this study may help to better understand the scale of the impact of the correctness of the implementation of geodesy tasks on the implementation of construction tasks. Additionally, they may serve to increase the awareness of the scale of consequences of incorrectly performed measurement tasks (demolition is necessary) and greater attention on the cooperation between the entities implementing these activities.
The use of numerical analysis of the injection process to select the material for the injection molding
Authors: Jachowicz Tomasz , Gajdoš Ivan , Cech Vlastimil , Krasinskyi Volodymyr 
Published: October 2021

Abstract
The article presents the methodology of using the results of computer simulation of the injection process to assess the suitability of the material for the injection molding. Computer simulation of the basic phenomena occurring during the filling phase, packing, and cooling phase of the injection molding provides a number of different results, containing typical information both on the suggested technological parameters of the process and on the dimensional accuracy of the molded part, but also allows obtaining data on the production efficiency and energy demand of the processing machine. On the basis of this information, it is possible to assess the suitability of the polymer materials used in the simulation, intended for the production of products from a specific industry, taking into account various criteria, mainly of an economic or qualitative nature.
Design and performance improvements of solar based efficient hybrid electric vehicle
Authors: Baghel Rahul , Ghritlahre Harish Kumar , Patel Ram Narayan , Sahu Ankit , Patel Ashish , Verma Mukesh Kumar 
Published: October 2021

Abstract
Hybrid energy in electric vehicles has been globally accepted as the fossil fuels will be exhausted by the middle or end of 21st century. The hybrid vehicles have emerged as a major source of clean and renewable energy to support the never-ending demand of vehicles. The main idea of the paper is the use of hybrid energy in working of e-rickshaw, which has become the most favorite area of research in automobile industry, recently. The proposed model is powered by lead-acid battery and this battery is charged by either using electric plug or solar panel. In the present study, hardware model has been analyzed e-rickshaw in terms of different parameters like mileage, charging and discharging time of battery, charging current, discharging current from the performance as well as security point of view. The hardware model has been developed with Photovoltaic (PV) module, capacitor bank, and Arduino circuit. Here, a modified e-rickshaw has been developed which has improved vehicle performance as compared to existing conventional e-rickshaw. The mileage has improved from 80 to 120.61 km and starting current has been reduced from 57 to 41 A on full load conditions. This has enhanced the battery life and Arduino circuit was implemented to enhance security features. The proposed model of e-rickshaw has improved vehicle performance as compared to existing conventional e-rickshaw in terms of mileage, starting current, battery life, and security feature of the vehicle.
Finden ohne Suchen: Automatische Benachrichtigungen über relevante wissenschaftliche Publikationen mit regelbasierter KI
Authors: Bense Hermann 
Published: October 2021

Zusammenfassung
Jeden Tag erscheint eine Flut neuer wissenschaftlichen Publikationen. Für Forscher ist es schwierig, dabei den Überblick zu behalten. Aktualität und Relevanz der Ergebnislisten von Suchmaschinen wie Google, scholar.google.com und wissenschaftlichen Suchportalen entsprechen oft nicht den Erwartungen der Forscher. Vorgestellt wird eine Methode, die als Finden ohne Suchen (FwS = finding without searching) bezeichnet wird. Diese Methode nutzt künstliche Intelligenz in Kombination mit ausdrucksstarken benutzerdefinierten Regeln für Benachrichtigungen über neue Publikationen über eine App.