bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Thoracic Surgery Ward Round Quality and Enhancing Patient Safety in a referral centre
Authors: Pons Aina , Alshammari Abdullah , Kaniu Daniel , Asonitis Athanasios , Bashir Ryan , Boyle Mark , Alvarez-Gallesio Jose , Proli Chiara , Chavan Hema , Begum Sofina , Jordan Simon , Buderi Silviu 
Published: February 2023

Abstract
Introduction
Ward rounds are complex clinical processesthat provide an opportunity for daily review and management of thoracic surgery inpatients (1). The aim of this study was to evaluate the thoracic surgical ward round documentation against the guidelines and recommendations and facilitate a pathway template to improve this process and enhance patient care.
Materials and Methods
Data for this audit was collected retrospectively and prospectively. Data was collected during three auditing periods and managed on Microsoft Excel. Descriptive statistics were used for its analysis. Chi-square and Fisher’s Exact tests were used to test for difference in reporting rates.
Results and Discussion
Initially, a total of 199 ward round notes were reviewed. Imaging results (19%) and discharge planning (23%) were not reported. eCARE (electronic Clinical Assessment for Round Evaluation) was developed to ensure that all aspects of patient evaluation recommended by the guidelines were included. Reporting rates significantly improved after such changes. We analysed the effect of the new ward round note on discharge planning (23.3 vs 41%, p<0.001), complication rates (32.6 vs 21.9%, p=0.03), post-surgical length of stay (LOS) (7.0 vs 5.0, p<0.001).
Conclusion
Over a year, we audited the compliance of the Thoracic Surgery Department against national standards for ward round documentation. Several important items were not regularly reported. Using closed-ended questions improved reporting rates, and patient safety was optimised. Further research should explore the impact of this new documentation method on patient care and postoperative outcomes in our Trust as well as other Cardiothoracic centers.
Comparison of Heart Disease Prediction Using different Machine Learning Algorithms
Authors: Dass Ashish Kumar 
Published: February 2023

Abstract
Heart disease is a dreadful threat to the human society that affects globally. Any heart condition and its background should be identified as early as possible to enhance the likelihood of survival. After risks are identified, it helps to anticipate sickness in patients which facilitates a more meaningful, effective, and commercial management of health resources. Low detection accuracy and rising processing complexity are issues with the current research approaches. To overcome such problems. This paper analyses detection and classification of heart disease using different machine learning algorithm. The cause of this work is to hit upon coronary heart illness at early level and keep away from results with the aid of using imposing machine learning algorithm like Naïve Bayes , Decision Tree, Random Forest ,K –Nearest-Neighbor ,Suppoort vector machine(SVM) and logistic regression. The results compared with Precision, Recall, F1 Score and Area Under Curve matrices to understand the efficiency of available algorithms.
Fifth fundamental force and unification of fundamental forces
Authors: Singh Raghvendra 
Published: February 2023

Abstract
There are four known fundamental forces of nature and there is a need to combine them into a unified theory. Progress has been made toward this goal but gravity remains an issue. However, the four forces are body forces that act on points. They together do not make the universe a closed system. Here, I identify a surface force, which acts outward normal to the surface of the universe. Further, using a water drop hanging in a vacuum as a model, I provide a formula to find the magnitude of this force. The fifth force is generated by surface tension, a property of dark energy. On the other hand, matter particles interact with each other through cohesive forces and with dark matter through adhesive forces. I give the functional forms of all cohesive and adhesive forces and present an equation that unifies all the forces of nature.
Interdire la mendicité sans violer les droits humains ?
Authors: Zimmermann Nesa , Da Rugna Antoine 
Published: February 2023

Le 19 janvier 2021, la Cour européenne des droits de l'homme a rendu son arrêt très attendu dans l'affaire Lăcătuş c. Suisse au sujet de l'interdiction de la mendicité, qui est désormais définitif. Le canton de Genève y a répondu en modifiant sa disposition litigieuse sur la mendicité, ce qui a fait l'objet d'un arrêt de la Chambre constitutionnelle genevoise le 28 juillet 2022. Cet arrêt valide sous l'angle abstrait la nouvelle teneur de la loi genevoise qui interdit désormais la mendicité sur des critères géographiques et comportementaux. Le présent article examine de manière critique cette réponse, en revenant notamment sur la jurisprudence de la Cour EDH. Il apporte également des réflexions pour l'évolution future de la jurisprudence.
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Am 19. Januar 2021 fällte der Europäische Gerichtshof für Menschenrechte (EGMR) sein mit Spannung erwartetes Urteil im Fall Lăcătuş gegen die Schweiz zum Bettelverbot, das nun endgültig ist. Der Kanton Genf reagierte darauf, indem er seine strittige Bestimmung zur Bettelei änderte, die kurz darauf am 28. Juli 2022 Gegenstand eines Urteils der Genfer Verfassungskammer wurde. Ihr Urteil validiert unter abstrakten Gesichtspunkten den neuen Wortlaut des Genfer Gesetzes, das Betteln nun aufgrund von geografischen und verhaltensbezogenen Kriterien verbietet. Der vorliegende Artikel setzt sich kritisch mit diesem Entscheid auseinander und geht dabei insbesondere auf die Rechtsprechung des EGMR ein. Er liefert auch Überlegungen für die zukünftige Entwicklung der Rechtsprechung.
THE EFFECTIVENESS OF USING ZOOM MEETINGS AND GOOGLE CLASSROOM ON LEARNING ENGLISH IN THE ERA OF THE COVID 19 PANDEMIC
Authors: Suryadi Suryadi 
Published: February 2023

The goal of this study was to see how effective Zoom Meetings and Google Classroom are for English language learning in the wake of the Covid 19 pandemic. A survey method is used in the research design. The data for the study was collected using a questionnaire as a data collection tool. A random sample of 53 students was chosen by adjusting the conditions, and the research objective of learning English using Zoom was less effective, with many obstacles encountered, as evidenced by analysis of survey data from respondents, but students believe that learning using Google Classroom was more effective and simple. As a result, it can be concluded that using Google Classroom is more effective and preferred by students because it did not deplete the internet. Researchers also recommend that teachers use Google Classroom for online learning during a pandemic.
Pre- and postprocessing flood forecasts using Bayesian model averaging
Authors: Hegdahl Trine Jahr , Engeland Kolbjørn , Steinsland Ingelin , Singleton Andrew 
Published: February 2023

AbstractIn this study, pre- and postprocessing of hydrological ensemble forecasts are evaluated with a special focus on floods for 119 Norwegian catchments. Two years of ECMWF ensemble forecasts of temperature and precipitation with a lead time of up to 9 days were used to force the operational hydrological HBV model to establish streamflow forecasts. A Bayesian model averaging processing approach was applied to preprocess temperature and precipitation forecasts and for postprocessing streamflow forecasts. Ensemble streamflow forecasts were generated for eight schemes based on combinations of raw, preprocessed, and postprocessed forecasts. Two datasets were used to evaluate the forecasts: (i) all streamflow forecasts and (ii) forecasts for flood events with streamflow above mean annual flood. Evaluations based on all streamflow data showed that postprocessing improved the forecasts only up to a lead time of 2–3 days, whereas preprocessing temperature and precipitation improved the forecasts for 50–90% of the catchments beyond 3 days' lead time. We found large differences in the ability to issue warnings between spring and autumn floods. Spring floods had predictability for up to 9 days for many events and catchments, whereas the ability to predict autumn floods beyond 3 days was marginal.
Modeling of scour depth and length of a diversion channel flow system with soft computing techniques
Authors: Alomari Nashwan K. , Sihag Parveen , Sami Al-Janabi Ahmed Mohammed , Yusuf Badronnisa 
Published: February 2023

AbstractThis study employed soft computing techniques, namely, support vector machine (SVM) and Gaussian process regression (GPR) techniques, to predict the properties of a scour hole [depth (ds) and length (Ls)] in a diversion channel flow system. The study considered different geometries of diversion channels (angles and bed widths) and different hydraulic conditions. Four kernel function models for each technique (polynomial kernel function, normalized polynomial kernel function, radial basis kernel, and the Pearson VII function kernel) were evaluated in this investigation. Root mean square error (RMSE) values are 8.3949 for training datasets and 11.6922 for testing datasets, confirming that the normalized polynomial kernel function-based GP outperformed other models in predicting Ls. Regarding predicting ds, the polynomial kernel function-based SVM outperforms other models, recording RMSE of 0.5175 for training datasets and 0.6019 for testing datasets. The sensitivity investigation of input parameters shows that the diversion angle had a major influence in predicting Ls and ds.
Ultrasound navigation during blockade in children with retinoblastoma with enucleation of the eyeball
Authors: Belousova E. I. , Matinyan N. V. , Tsintsadze A. A. , Kuznetsov D. A. , Kovaleva E. A. , Ushakova T. L. , Panferova T. R. , Polyakov V. G. 
Published: February 2023

Introduction. Regional blockades in children in ophthalmology operations are used not only for analgesia in the intra- and postoperative period, but also for the prevention of oculocardial reflex (OCR), postoperative nausea and vomiting (PONV). But there is still no convincing data on the advantages of the methods of retrobulbar blockade (RBB) performed under ultrasound guidance and parabulbar blockade (PBB) performed under ultrasound guidance. Aim. In the present study, we investigated the efficacy and safety of RBB under ultrasound guidance with ropivacaine 0.5 % for the prevention of OCR and postoperative pain, as well as PONV when detected with PBB of ropivacaine 0.5 % under ultrasound guidance upon detection of enucleation of the eyeball. Materials and methods. A prospective randomized arterial study was performed for the period 2016–2022. The study included 110 patients with established inclusion criteria. The patients were divided into two groups: 55 patients who performed a RBB + ultrasound and 55 patients who performed a PBB + ultrasound. Evaluated: the likelihood of the introduction of opioid analgesics, the quality of anesthesia, the duration of the block and the likelihood of complications. Results. There was a decrease in intraoperative diseases in the RBB + ultrasound group, where the average dose of fentanyl was increased by 4.1 ± 1.4 μg/kg, and in the PBB + ultrasound group it was 9.7 ± 1.8 μg/kg (p < 0.05 ). The time to the first frequency of the analgesic in the postoperative period was 6.7 ± 1.8 hours in the PBB + ultrasound group, and 11.7 ± 3.3 hours in the RBB + ultrasound group (p < 0.05). Conclusions. There was a significant difference in analgesic efficacy between RBB + ultrasound and PBB + ultrasound. It was revealed that RBB + ultrasound reduces intraoperative opioid requirements, stable intraoperative hemodynamics and longer postoperative analgesia. Therefore, the use of RBB + ultrasound for enucleation of the eyeball in children with retinoblastoma is the preferred technique.
A Review on the Application of Nanofluids in Enhanced Oil Recovery
Authors: Malika Manjakuppam , Sonawane Shriram 
Published: February 2023

Abstract:
Oil mobility has been a significant issue since the recovery of a heavy crude reservoir.
It is determined by two factors: oil rheological properties and penetrability. Nanofluids (NFs) are
a distinct class of engineered fluids characterized by the dispersion of nanoparticles ranging in
size from 1 to 100 nanometers (nm) into a working fluid. They are divided into groups based on
physicochemical characteristics, including nanoparticle morphology, and thermal and rheological
properties. The well-known nanofluids composed of metal (e.g., ZrO2) and ceramic (e.g.,
SiO2) had the best physicochemical performance in terms of oil mobility. This chapter examines
the inundation of metal and nonmetal based nanofluids as a new enhanced oil extraction (EOR)
method for extracting primary and secondary oil from more than 45% of confined reservoir fluids.
Furthermore, new developments in the utilization of these materials on EOR approaches to
combat significant interfacial adhesion across sandstone and fluid interfaces are summarized.
KiOmedine® CM-Chitosan is Effective for Treating Advanced Symptomatic Knee Osteoarthritis up to Six Months Following a Single Intra-Articular Injection: A Post Hoc Analysis of Aproove Clinical Study
Authors: Emans P.J. , Skaliczki G. , Haverkamp D. , Bentin J. , Chausson M. , Schifflers M. , Portelange N. 
Published: February 2023

Background:
Symptomatic knee osteoarthritis (OA) is typically treated with hyaluronan-based intra-articular injections. Advanced knee OA patients are often unresponsive to hyaluronan. KiOmedine® Carboxymethyl-Chitosan (CM-Chitosan), a novel fluid implant, was safe and effective for treating symptomatic knee OA.

Objective:
The objective of this study is to describe the efficacy of a single injection of KiOmedine® CM-Chitosan in advanced knee OA.

Methods:
Patients with advanced knee OA enrolled in the APROOVE trial and treated with KiOmedine® CM-Chitosan were identified: subgroup-1, BMI >30 kg/m2 and/or Kellgren Lawrence (KL) grade III (n=39), and subgroup-2, BMI >30 kg/m2 and KL-grade III (n=8). Within-group analyses were performed using the WOMAC scores and OMERACT-OARSI responder criteria at 3 and 6 months.

Results:
In both subgroups, significant improvements in all WOMAC scores were observed at 3 and 6 months (p<0.001 for all comparisons). A high responder rate was observed at 3 and 6 months in subgroup-1 (63.2% and 65.8%) and in subgroup-2 (57.1% and 62.5%).

Conclusion:
This post hoc analysis of the APROOVE trial showed that a single intra-articular injection with KiOmedine® CM-Chitosan could be an effective therapeutic option for patients with advanced knee OA.
Clinical trial registration number: Clinicaltrial.gov
identifier: Net30679208.
Accurate Modeling and Control System Simulation of Bearingless Brushless
DC Motor
Authors: Huang Haoran , Bu Wenshao , Lu Yongfang 
Published: February 2023

Background:
Precise modeling and control system design are the basis of highperformance
control of dual-winding bearingless brushless DC motors (BL-BLDCM), and the existing
research is relatively few.

Objective:
This paper takes 12-slot/tooth 4-pole BL-BLDCM as the research object, establishes a set
of a detailed mathematical model, and designs the control system of BL-BLDCM.

Methods:
Firstly, the structure of BL-BLDCM and the radial suspension force generation principle
were introduced. Secondly, a set of an accurate mathematical model of BL-BLDCM was established
which was finally verified by static and dynamic finite element method (FEM), the motor body
model and control system were built by Matlab/Simulink software, and the simulation analysis of
control performance was completed.

Results:
The established mathematical model is correct. The BL-BLDCM can generate stable electromagnetic
torque and radial magnetic suspension force, and the control system has strong ability
of resisting load torque disturbance and radial force load disturbance.

Conclusion:
It has certain reference significance for the accurate modeling and control system design
of later BL-BLDCM.
Barriers to and Facilitators of a Blended Cognitive Behavioral Therapy Program for Depression and Anxiety Based on Experiences of University Students: Qualitative Interview Study
Authors: Braun Pia , Atik Ece , Guthardt Lisa , Apolinário-Hagen Jennifer , Schückes Magnus 
Published: February 2023

Background
Blended cognitive behavioral therapy (bCBT) programs have been proposed to increase the acceptance and adoption of digital therapeutics (DTx) such as digital health apps. These programs allow for more personalized care by combining regular face-to-face therapy sessions with DTx. However, facilitators of and barriers to the use of DTx in bCBT programs have rarely been examined among students, who are particularly at risk for developing symptoms of depression and anxiety disorders.

Objective
This study aimed to evaluate the facilitators of and barriers to the use of a bCBT program with the elona therapy app among university students with mild to moderate depression or anxiety symptoms.

Methods
Semistructured interviews were conducted via videoconference between January 2022 and April 2022 with 102 students (mean age 23.93, SD 3.63 years; 89/102, 87.2% female) from universities in North Rhine-Westphalia, Germany, after they had completed weekly individual cognitive behavioral therapy sessions (25 minutes each) via videoconference for 6 weeks and regularly used the depression (n=67, 65.7%) or anxiety (n=35, 34.3%) module of the app. The interviews were coded based on grounded theory.

Results
Many participants highlighted the intuitive handling of the app and indicated that they perceived it as a supportive tool between face-to-face sessions. Participants listed other benefits, such as increased self-reflection and disorder-specific knowledge as well as the transfer of the content of therapy sessions into their daily lives. Some stated that they would have benefited from more personalized and interactive tasks. In general, participants mentioned the time requirement, increased use of the smartphone, and the feeling of being left alone with potentially arising emotions while working on tasks for the next therapy session as possible barriers to the use of the app. Data security was not considered a major concern.

Conclusions
Students mostly had positive attitudes toward elona therapy as part of the bCBT program. Our study shows that DTx complementing face-to-face therapy sessions can be perceived as a helpful tool for university students with mild to moderate anxiety or depression symptoms in their daily lives. Future research could elaborate on whether bCBT programs might also be suitable for students with more severe symptoms of mental disorders. In addition, the methods by which such bCBT programs could be incorporated into the university context to reach students in need of psychological support should be explored.
Penambahan bubuk daun kelor dalam pembuatan cookies (nastar) sebagai peluang bisnis
Authors: Putra Komang Astaguna Abdi 
Published: February 2023

Tujuan dari penelitian Penambahan bubuk daun kelor dalam pembuatan cookies (nastar) sebagai peluang bisnis ini adalah untuk mengetahui kualitas cookies (nastar) dengan penambahan bubuk daun kelor dari segi rasa, aroma, tekstur warna dan tampilan, kemudian untuk mengetahui daya tahan serta menganalisis seberapa besar biaya yang diperlukan dalam pembuatan cookies nastar bubuk daun kelor dan juga minat beli sebagai peluang bisnis, Pendekatan penelitian yang digunakan adalah penelitian eksperimen, penelitian eksperimen ini dilakukan dengan membuat cookies (nastar) dengan bubuk daun kelor, kemudian diuji oleh 30 panelis dengan tes organoleptik, observasi dan analisis biaya. Hasil penelitian ini berupa penambahan bubuk daun kelor dalam pembuatan cookies (nastar) adalah enak dari segi rasa, beraroma sedap, tekstur yang lembut serta memiliki tampilan yang menarik. Dari hasil uji daya tahan cookies (nastar) dengan penambahan bubuk daun kelor, mampu bertahan selama 20 hari. Dalam minat beli sebagai bisnis 90% menyukai jika cookies (nastar) daun kelor ini menjadi trobosan bisnis kuliner kue kering terbaru, Dari hasil analisis biaya dalam pembuatan cookies (nastar) dengan penambahan bubuk daun kelor membutuhkan biaya Rp.28.100,-

The purpose of this research is to add Moringa leaf powder in the manufacture of cookies (nastar) as a business opportunity to determine the quality of cookies (nastar) with the addition of Moringa leaf powder in terms of taste, aroma, color texture and appearance, then to determine the durability and analyze how much the costs required in making nastar cookies with Moringa leaf powder and also buying interest as a business opportunity. The research approach used is experimental research, this experimental research was carried out by making cookies (nastar) with Moringa leaf powder, then tested by 30 panelists with organoleptic tests, observation and cost analysis. The results of this study in the form of the addition of Moringa leaf powder in the manufacture of cookies (nastar) are delicious in terms of taste, delicious aroma, soft texture and have an attractive appearance. From the results of the durability test of cookies (nastar) with the addition of Moringa leaf powder, it can last for 20 days. In the interest of buying as a business 90% like if cookies (nastar) Moringa leaves are the latest breakthrough in the culinary business of pastries. From the results of the cost analysis in making cookies (nastar) with the addition of Moringa leaf powder, it costs Rp. 28.100,-
Deteksi Plasmodium knowlesi Menggunakan Nested Polymerase Chain Reaction (PCR) di Kecamatan Muara Komam Kalimantan Timur
Authors: Salsabila Zulfa Zahra , Noviyanti Rintis , Coutrier Farah , Trianty Leily , Sutrisna Eman , Rujito Lantip 
Published: February 2023

Plasmodium knowlesi is a parasite of the genus plasmodium that naturally infects long-tailed macaques (Macaca fascicularis), but currently reported has ability to infect humans. The identification/detection of P. knowlesi can be done using RDT, microscopic, or molecular examinations using nested PCR. Nested PCR is the most sensitive and specific method of examination to date. This study aimed to detect P. knowlesi in humans by RDT, microscopic, and nested PCR examinations. The study was descriptive with a cross-sectional approach, carried out from March to July 2019. The samples in this study were 123 patients who were suspected of being infected with malaria and who underwent laboratory tests at the Muara Komam Health Center. Microscopic examination and RDT examination were carried out at the Muara Komam Health Center, while nested PCR was carried out at the Eijkman Molecular Biology Laboratory Jakarta. The results of RDT and microscopic examinations showed as many as 16 of 123 (13%) malaria-positive samples of P. falciparum and P. vivax, and 10 of 123 (8.1%) malaria-positive samples of P. falciparum and P. vivax. Nested PCR tests targeting the rRNA SSU gene were able to identify P. knowlesi by 6 out of 123 (4.87%). In conclusion, the study showed that Plasmodium knowlesi was detected in humans in Muara Komam, East Kalimantan through nested PCR examination.