bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parametric study of a bubble removing device for hemodialysis
Authors: Chaichudchaval Poonnapa , Fuangkamonvet Nunthapat , Piboonlapudom Supajitra , Chanthasopeephan Teeranoot 
Published: April 2023

AbstractBackgroundThis paper sets out to design a device for removing bubbles during the process of hemodialysis. The concept is to guide the bubbles while traveling through the device and eventually the bubbles can be collected. The design focuses on the analysis of various parameters i.e. inlet diameter, inlet velocity and size of the pitch. The initial diameters of Models 1 and 2 have thread regions of 6 and 10 mm, respectively. Parameters: Swirl number, Taylor number, Lift coefficient along with pressure field are also implemented.ResultsBased on computational fluid dynamics analysis, the bubbles' average maximum equilibrium position for Model 1 reached 1.995 mm, being greater than that of Model 2, which attained 1.833 mm. Then, 16,000 bubbles were released into Model 1 to validate the performance of the model. This number of bubbles is typically found in the dialysis. Thus, it was found that 81.53% of bubbles passed through the radial region of 2.20 ± 0.30 mm. The appropriate collecting plane was at 100 mm, as measured from the inlet position along the axial axis. The Taylor number, Lift coefficient, and Swirl number proved to be significant parameters for describing the movement of the bubbles. Results were based on multiple inlet velocities. It is seen that Model 3, the improved model with unequal pitch, reached a maximum equilibrium position of 2.24 mm.ConclusionOverall, results demonstrated that Model 1 was the best design compared to Models 2 and 3. Model 1 was found capable of guiding the bubbles to the edge location and did not generate extra bubbles. Thus, the parametric study, herein, can be used as a prototype for removing bubbles during the process of hemodialysis.
Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site
Authors: Al Mohamed Alaa Alden , Al Mohamed Sobhi , Zino Moustafa 
Published: April 2023

AbstractOne of the most important challenges for decision-makers and investors is location selection, which may be assessed using multicriteria decision-making (MCDM) methodologies. Problems with picking a location include deciding between alternative locations, analyzing alternatives, and identifying the best location for a hospital. Because they analyze options with multiple perspectives in terms of numerous competing criteria, MCDM approaches are useful instruments for solving decision-making challenges. The fuzzy set theory (FST), which represents uncertainty in human beliefs, may be effectively used with MCDM approaches to produce more sensitive, tangible, and accurate findings in this context. A hybrid fuzzy multi-criteria decision model (FMCDM) is proposed to find the optimal location based on a combination of factors. In the first stage, the Fuzzy Analytical Hierarchy Process (FAHP) is used to estimate the relative criteria classification through the evaluation process. In the second stage, the fuzzy technique of order preference using similarities to the perfect solution (FTOPSIS) is applied to rank the possible alternative sites. The findings from this study indicate that integrate FAHP and FTOPSIS is the most often used FMCDM approach in Aleppo for selecting the best location for a new hospital.
Glosa do wyroku Wojewódzkiego Sądu Administracyjnego w Krakowie z dnia 11 stycznia 2021 r., II SA/Kr 652/20 (aprobująca)
Authors: Trzcińska Diana 
Published: April 2023

Niniejsza glosa zawiera aprobatę stanowiska Wojewódzkiego Sądu Administracyjnego w Krakowie, wyrażonego w wyroku z 11 stycznia 2021 r., w kwestii stwierdzenia nieważności uchwały w przedmiocie miejscowego planu zagospodarowania przestrzennego w zakresie, w którym organ planistyczny nie określił obligatoryjnych parametrów zabudowy na terenach oznaczonych jako lasy, gdzie dopuszczono zabudowę kubaturową związaną z gospodarką leśną.
Warding off the Evil Eye: Peer Envy in Rawls’s Just Society
Authors: Pearson James S. 
Published: April 2023

Abstract
This article critically analyzes Rawls’s attitude toward envy. In A Theory of Justice, Rawls is predominantly concerned with the threat that class envy poses to political stability. Yet he also briefly discusses the kind of envy that individuals experience toward their social peers, which he calls particular envy, and which I refer to as peer envy. He quickly concludes, however, that particular envy would not present a serious risk to the stability of his just society. In this article, I contest this claim by arguing that the principles that structure Rawls’s ideal society are likely to exacerbate particular envy to a politically risky extent. Section 1 reconstructs his account of envy, giving special attention to his belief that competition kindles envy between peers. Section 2 then examines the way in which Rawls often endorses rivalry within the body politic. I argue that the society governed by justice as fairness is, on account of this rivalry, likely to generate a politically problematic degree of particular envy. In Section 3, I invoke ancient Greece as an example of a society that was, as a result of its intense competitiveness, often imperiled by dangerously elevated levels of peer envy. I then survey the key institutional mechanisms by which the ancient Greeks sought to manage this hazardous emotion. It turns out, however, that most of these mechanisms would be unavailable to Rawls insofar as they starkly contravene his principles of justice. I conclude that if Rawlsians wish to establish a society that fosters rivalry, they would do well to reflect on the means by which peer envy can be effectively harnessed.
Estimation of Nondestructive Compressive Strength of Concrete Using Impact Force Response Signal
Authors: Son Moorak , Seong Jinhyun 
Published: April 2023

Abstract
This study examined the potential of the impact force response signal induced by impacting an object to estimate the compressive strength of concrete nondestructively. For this study, an automatic impacting device was devised, a system was set up to measure impact force signal, and a program was developed to analyze the obtained signal and estimate the compressive strength. Concrete test specimens were manufactured and tested. Impacts were carried out on the specimens, and the impact force signals were obtained. The signals were analyzed to obtain the total impact force signal energy, and a uniaxial compressive strength test was carried out on each specimen to measure the compressive strength directly. A good relationship was formed between the total impact force signal energy and the uniaxial compressive strength. The strength was estimated from the obtained relationship for new test specimens and compared with the directly measured strength. The comparison indicated that the estimated strength and the measured strength had a close relationship. In addition, a Schmidt hammer test was carried out on the new specimens before the uniaxial compressive test, and the test results were compared with those from the impact force signal energy. The strength estimation using the impact force signal energy had a better result. The study results show that the compressive strength of concrete materials could be estimated nondestructively using the proposed method.
Dynamics of hemodynamic parameters and tone of the autonomic nervous system in the rehabilitation of patients with neurocirculatory dystonia
Authors: Sergey Kalmykov  , Yuliya Kalmykova  , Iryna Shaposhnikova  , Vitalii Kashuba  , Viktoriya Polkovnyk-Markova  
Published: April 2023

Purpose: to substantiate, develop and evaluate the effectiveness of a physical therapy program for young women with hypertensive neurocirculatory dystonia at the outpatient stage. Material & Methods: under our supervision there were 28 women with a diagnosis of neurocirculatory dystonia of hypertonic type; they were randomly divided into two groups: main (14 patients) and control (14 patients); the average age of patients in the main group was 20,1±0,35 years, in the control group – 20,6±0,23 years. The course of physical therapy for patients of the main and control groups lasted for 5 months. The patients of the main group underwent rehabilitation measures according to the program of physical therapy, which included kinesiotherapy using therapeutic exercises based on dance aerobics in combination with regulated breathing exercises, taking into account the tone of the ANS and autogenic training, patients of the control group were engaged in the E.V. Doliger physical therapy program for patients with NCD. Results: the functional indicators of the cardiovascular and autonomic nervous system obtained during the primary study indicated the absence of economization of the work of the cardiovascular system, the presence of dysfunction of the autonomic nervous system in the direction of the predominance of the activity of the sympathetic department. After 5 months of using physical therapy programs, when re-examined, patients in both groups showed a decrease in heart rate and a decrease in blood pressure; stroke volume in the main group was within normal limits, in the control group, a decrease in stroke volume indicated a reduced myocardial contractility; the decrease in the minute volume of blood in the main group was due to a decrease in heart rate, in the control group – due to a decrease in heart rate and stroke volume. The value of the Kerdo index in the main group corresponded to the state of eutonia, in the control group – sympathicotonia. Conclusions: in the course of the study, we came to the conclusion that a physical therapy program was developed, which included kinesitherapy using therapeutic exercises based on dance aerobics in combination with regulated breathing exercises, taking into account the tone of the parasympathetic and sympathetic divisions of the autonomic nervous system and autogenic training, is effective and contributes to the normalization of hemodynamic parameters and the tone of the autonomic nervous system, which improves the quality of life of NCD patients. The conducted studies have confirmed the need for the use of physical therapy, including kinesitherapy using therapeutic exercises based on dance aerobics in combination with regulated breathing exercises, taking into account the tone of the ANS and autogenous training.
After-discharge activity as a basis to change intraoperative mapping protocol for functionally significant brain areas
Authors: Podgurskaya M. G. , Kanshina D. S. , Dimertsev A. V. , Alexandrov M. V. , Nikitin S. S. 
Published: April 2023

Background. After-discharge (AD) activity is a pattern that differs from background corticography, represented by rhythmic stereotypical slow waves and/or repetitive spike discharges with ≥1 Hz frequency, recorded after cessation of electrical stimulation and lasting for more than 2 seconds. Despite the accumulated experience in the field of intraoperative neuromonitoring, there is no unified protocol for high-frequency stimulation of cortical functional areas (FAs) upon the AD event.Objective: to demonstrate a need to change the intraoperative FAs mapping protocol in patients with brain tumor on awakening in cases of AD recording.Material and methods. Two clinical cases of awake surgical functional mapping followed by resection of the brain tumor are presented. Multimodal monitoring included high-frequency stimulation according to the approved intrahospital protocol with maximum stimulation force of auditory-speech zones of 2.5 mA, electrocorticography, and subcortical dynamic mapping.Results. In the first case, AD was registered while FAs mapping in a patient with a history of one epileptic seizure, upon reaching the maximum stimulation force of 2.5 mA, that was replaced by recording focal epileptiform activity with the following evolution to ictal generalized event and development of intraoperative convulsive seizure. In the second patient with a history of recurrent epileptic seizures, AD with spatiotemporal evolution of the pattern development of clinical ictal event was registered with stimulation at 2.5 mA. In both cases, the appearance of AD required to change mapping protocol with a stepwise decrease in stimulus strength to obtain cortical FAs data.Conclusion. Registration of AD is the basis for changing the protocol of high-frequency cortical stimulation in surgical treatment of brain tumor FAs.
Adverse drug reactions monitoring among breast cancer patients in a tertiary care teaching hospital
Authors: Anisha S. , Nandha S. Rajendra , Suseela Supriya Selvakumar 
Published: April 2023

Background: Breast cancer is responsible for 13% of deaths among women globally. The present study aimed to assess adverse drug reactions (ADRs) in breast cancer patients receiving treatment in a tertiary care teaching hospital.
Methods: This retrospective and descriptive study was conducted in the oncology department at sree mookambika institute of medical sciences, Kulasekharam, covering six months from May 2022 to November 2022. The study includes patients of any age diagnosed with breast cancer, treated with chemotherapy, and who developed at least one ADR during or after treatment. Patients who developed ADRs due to fresh blood or blood product infusion and had a history of drug abuse or accidental poisoning were excluded from the study.
Results: Three hundred fifty-eight breast cancer patients were evaluated, of which 142 developed ADRs. The study revealed that breast cancer was most prevalent among women aged 41-50. Seven (4.92%) had a history of tobacco smoking, 129 (90.85%) patients were married, and only 13 (9.15%) were unmarried. The most commonly prescribed chemotherapeutic drug for breast cancer patients was docetaxel (19.01%), Cyclophosphamide (15.49%) and nab. paclitaxel (12.67%). The study found that the most frequent ADR observed among the patients was febrile neutropenia (18.30%), followed by nausea and vomiting 14.79%). Causality assessment reported that 61.27% (87) of the ADRs were probable, and 29.58% (42) were possible.
Conclusions: Spontaneous adverse drug reporting and structured management are essential for monitoring the safe use of drugs. The findings suggest the need for effective pharmacovigilance programs and improved patient care in administering chemotherapeutic agents.
Laparoscopic resections in colorectal cancers-short term and medium-term outcome with 2 years follow up
Authors: K. Vinay Kumar , Varma Deepak , D. Kunju Rahul , Philip Sujith 
Published: April 2023

Background: After decades of debate and controversy, the short-term benefits and at least equivalent long-term outcomes of laparoscopic colon surgery compared to open surgery has now been well established.
Methods: In this article, short- and medium -term outcomes of patients undergoing laparoscopic colorectal surgery for cancer in a tertiary care hospital is analysed. A retrospective analysis of prospectively collected data of all patients who had laparoscopic management of colorectal cancer (CRC) for 3 years was done. Patients were followed up for 2 years after treatment. The prospectively collected data was analysed to find out the incidence of complications, local or distant metastases and the survival rates.
Results: There were 65 patients who underwent laparoscopic surgery among 120 patients who had treatment for colorectal carcinoma in the study period. The 26 patients underwent low anterior resection followed by 14 patients and 13 patients undergoing left colonic and right colonic resections respectively. While abdominoperineal resection was carried out in 6 patients, 3 each patients were treated by ultra-low anterior resection and subtotal colectomy. Morbidities of varying grade according to Clavien Dindo classification was less for laparoscopic surgery. Recurrence occurred in 14.8% at 2 years follow up. The 2-year survival rate was noted to be 87.7% among the study group who underwent laparoscopic surgery.
Conclusions: Judicious selection of patients and the appropriate selection of technique help to achieve good short-and long-term results without compromising on oncological outcome in laparoscopic surgeries for colorectal malignancies.
Water distribution network expansion: an evaluation from the perspective of complex networks and hydraulic criteria
Authors: Anchieta Thomaz , Meirelles Gustavo , Carpitella Silvia , Brentan Bruno , Izquierdo Joaquin 
Published: April 2023

Abstract

The expansion of water distribution networks is nowadays essential to meet the pressing population growth in many cities worldwide. With the subsequent increase in water demand, the hydraulic behaviour of a water supply system can change dramatically due to the significant head losses in the pipes caused by the larger flows released by pumping systems and reservoirs to supply the higher water consumption of the network. Strategical studies are necessary to delimit risk regions where a demand increase may affect the system too negatively. To analyse expansion scenarios with the lowest risk of failure and damage for the supply network operations, this research studies hydraulic performance and connectivity under various demand increase scenarios using calculations of complex network metrics together with relevant hydraulic criteria. For these calculations, this research, developed in Python, uses, respectively, the NetworkX 2.5 and WNTR 0.3.0 packages. The C-Town network is employed as a case study, and demand increasing scenarios are implemented on 30 nodes along the peripheral regions of the network to simulate the growth of the cities. Then, these scenarios are evaluated using the TOPSIS methodology, thus determining the best and worst sectors to expand the capacity of the network.
A microservice architecture for leak localization in water distribution networks using hybrid AI
Authors: Mazaev Ganjour , Weyns Michael , Moens Pieter , Haest Pieter Jan , Vancoillie Filip , Vaes Guido , Debaenst Joeri , Waroux Aagje , Marlein Kris , Ongenae Femke , Van Hoecke Sofie 
Published: April 2023

Abstract
Up to 30% of all drinking water is wasted due to leaks in water distribution networks (WDNs). In times of drought and water shortage, wasting so much drinking water has a considerable environmental and financial cost. In this paper, we present a microservice architecture for leak localization in WDNs, where heterogeneous sources of data consisting of sensor measurements, Geographic Information System (GIS), and Customer Relationship Management (CRM) data are used to feed a leak monitoring solution which combines hybrid data-driven and model-based leak detection and localization methodologies. The solution is validated using in-field leak experiments in an operational WDN. The final leak probabilities are presented in a visualization dashboard. The search zone for most leaks is reduced to a few kilometers or less. For other leaks, the solution is able to indicate a larger search zone to reflect its higher leak prediction uncertainty.
Online but Disconnected: Student Connectedness in Online Remote Learning i n Higher Education in New Zealand
Authors: Brown Stephen J. 
Published: April 2023

New Zealand university students in the online learning environment may have feelings of disconnectedness, isolation, and suffer a lack of personal attention. Perhaps these universities are at a junction, where they can choose to offer students immersion into a virtual learning environment devoid of a physical presence, or a pathway which nurtures students’ learning in a hands-on, face-to-face, physical space. Understanding student online connectedness, or their sense of belonging with the online virtual learning environment, may help navigate a path through this junction as the emergence of online remote learning becomes commonplace in New Zealand. This article suggests that universities should foster a virtual place of learning by developing an online social presence and promote open communication between faculty and students, and between students and their peers. Students are more likely to value online courses that foster a high degree of connectedness, and they are more likely to complete these courses. In this article, online student connectedness is defined and tools to measure it are described. Strategies to promote student connectedness in the online learning environment are suggested, for example, comprising social media and social networking sites which facilitate communication and increase social presence.
Penguatan Kemampuan Generasi Muda Emas Siswa Melalui Pelatihan Kepemimpinan Dasar SMKN 1 Sumenep
Authors: Hidayat Imam , Suharyanto Deni Feri , Hastaro Evi Dwi 
Published: April 2023

SMKN 1 Sumenep merupakan sekolah menengah kejuruan yang berada di Kabupaten Sumenep. Salah satu sekolah yang menyediakan banyak pilihan kejuruan dengan menyiapkan modal pengetahuan, keilmuan dan kemampuan tentang kebutuhan kerja di lingkungan sosial publik. Kondisi umum pada siswa SMKN 1 Sumenep masih ditemukan pelanggaran penyimpangan moral, seperti terjadinya konflik perkelahian, lemahnya kesadaran terhadap kondisi sosial lingkungan publik, belum mampu berjiwa kepribadian yang baik dan belum mampu berkomunikasi yang baik antar personal dan kelompok lingkungan sosial publik lainnya serta masih belum mampu mengatur organisasi skala kecil atau kelompok yang lebih besar. Adapun tawaran solusi yang direkomendasikan oleh tim pengabdian Universitas Wiraraja adalah dengan melakukan Pelatihan Kepemimpinan Dasar “PKD” pada beberapa perwakilan Siswa SMKN 1 Sumenep dari jurusan Tata Busana, Teknik Komputer & Jaringan, Otomatisasi dan Tata Kelola Perkantoran, Multimedia, Bisnis Daring dan Pemasaran, Akuntansi dan Keuangan Lembaga, Perhotelan dengan tujuan menyiapkan generasi muda emas 2045. Adapun solusi yang ditawarkan terhadap mitra adalah dengan mengadakan materi pelatihan dan pengembangan (1) Membangun kepribadian, (2) Kepemimpinan, (3) Komunikasi yang aktif, (4) Menjadi negoisator.
Wave Detection and Tracking Within a Rotating Detonation Engine Through Object Detection
Authors: Johnson Kristyn B. , Ferguson Donald H. , Nix Andrew C. , Tallman Zachary 
Published: April 2023

As the operational time window of experimental rotating detonation engines (RDEs) is expanded and the technology matures toward integration within gas turbines, monitoring techniques must evolve to offer computationally efficient and highly time-resolved diagnostics. A computer vision object detection methodology that seeks to reduce data processing time and calculate wave velocity within drastically reduced time intervals as compared to traditional high-frame-rate RDE images analysis techniques is proposed. The adapted you-only-look-once object detection network is trained to detect individual detonation waves within single down-axis RDE images. The wave location and rotational direction detected within a frame are tracked through a series of high-speed images to calculate the frame-to-frame wave velocity with the time-step resolution of [Formula: see text] across a series of frames. The analysis of the annotation box size and image linearization effects is presented, demonstrating the lowest frame-to-frame velocity total uncertainty of [Formula: see text] and the highest classification speed of 9.5 frames per second using linearized images. Linearized images “unwrap” the RDE annulus pixel region to a reduced image size. This new method offers great reductions in data processing times and unsteady detonation behavior insight at intervals more comparable to the timescales of detonation wave interactions via the application of machine learning to experimental RDE data.