Miracle-dz/UniFAR-FTUs huggingface dataset:
The Cry to Be Involved: Experiences of Caregivers on Participation in Decision Making and Care Provision at Mercy James PICU in Blantyre, Malawi

ABSTRACT A child’s illness and admission in a hospital are stressful and can negatively affect the child and his/her caregivers. The stress is further exacerbated when a child is critically ill and has been admitted to an intensive care unit (ICU). The effects can be reduced when caregivers of the sick children are present and involved in decision making and actual care of their hospitalized children, a care model called family-centered care. Malawi has adopted family-centered care model in the newly instituted Mercy James Pediatric ICU. Little is known about experiences of caregivers with FCC in Malawi. This qualitative study was therefore conducted to explore experiences of caregivers on their involvement in decision making and care at Mercy James Pediatric ICU in Blantyre, Malawi. This was a descriptive qualitative study with a sample size of fifteen participants, however, data saturation was reached with ten participants. One on one in-depth interviews were conducted among a purposively selected sample of ten caregivers whose children had been discharged from the PICU. Content analysis was deductively and manually undertaken to analyze data with the aid of delve software to organize the data. Findings show that not every caregiver was involved in the decision making of their children’s care, and if they did, it was not adequate. Barriers to effective involvement such as using a foreign language had a negative impact on comprehensive involvement of caregivers in decision making for their children’s care. All participants were, however, involved in the physical care of their children. It is important that health care workers should continuously encourage caregivers to get involved in the decision making and care of their children.
Patient and Provider Experiences With Virtual Care in a Large, Ambulatory Care Hospital in Ontario, Canada During the COVID-19 Pandemic: Observational Study

Background Virtual care use increased during the COVID-19 pandemic. The impact of that shift on patient and provider experiences is unclear. Objective We evaluated patient and provider experiences with virtual visits across an academic, ambulatory hospital in Toronto, Canada and assessed predictors of positive experience with virtual care. Methods Survey data were analyzed from consenting patients who attended at least one virtual visit (video or telephone) and from consenting providers who delivered at least one virtual visit. Distributions for demographic variables and responses to survey questions are reported, with statistical significance assessed using chi-square tests and t tests. Ordinal logistic regression analysis was used to identify any patient predictors of responses. Results During the study period, 253 patients (mean age 45.1, SD 15.6 years) completed 517 video visit surveys, and 147 patients (mean age 41.6, SD 16.4 years) completed 209 telephone visit surveys. A total of 75 and 94 providers completed the survey in June 2020 and June 2021, respectively. On a scale from 1 to 10 regarding likelihood to recommend virtual care to others, fewer providers rated a score of 8 or above compared with patients (providers: 62/94, 66% for video and 49/94, 52% for telephone; patients: 415/517, 80% for video and 150/209, 72% for telephone). Patients of non-White ethnicity had lower odds of rating a high score of 9 or 10 compared with White patients (odds ratio 0.52, 95% CI 0.28-0.99). Conclusions Patient experiences with virtual care were generally positive, but provider experiences were less so. Findings suggest potential differences in patient experience by ethnicity, warranting further investigation into equity concerns with virtual care.
More effective heuristics for a two-machine no-wait flowshop to minimize maximum lateness

We address a manufacturing environment with the no-wait constraint which is common in industries such as metal, plastic, and semiconductor. Setup times are modelled as uncertain with the objective of minimizing maximum lateness which is an important performance measure for customer satisfaction. This problem has been addressed in scheduling literature for the two-machine no-wait flowshop where dominance relations were presented. Recently, another dominance relation was presented and shown to be about 90% more efficient than the earlier ones. In the current paper, we propose two new dominance relations, which are less restrictive than the earlier ones in the literature. The new dominance relations are shown to be 140% more efficient than the most recent one in the literature. As the level of uncertainty increases, the newly proposed dominance relation performs better, which is another strength of the newly proposed dominance relation. Moreover, we also propose constructive heuristics and show that the best of the newly proposed heuristics is 95% more efficient than the existing one in the literature under the same CPU time.
Forecasting of Indonesia's Gross Domestic Product Amid Covid-19 Pandemic

The Indonesian economy since the first quarter of 2020 has declined. The Covid-19 pandemic has suppressed Indonesia's economic growth. The Ministry of Finance stated that the Indonesian economy in 2020 is estimated to reach minus 1.7 percent to 0.6 percent. The purpose of this study is to determine the prediction of Indonesia's GDP amid Covid-19 pandemic. This type of research is a quantitative study using secondary data with a sample size of 22 samples. The data analysis technique used is the ARIMA method. The results showed stationary data at the second level. Identification of the Bob-Jenkins model selected the ARIMA model (4,2,1). The forecast results show that Indonesia's GDP in the second quarter of 2020 until the second quarter of 2023 will continue to decline. Therefore, policies to promote economic recovery are required. This policy must support the improvement of the health system to reduce the impact of the Covid-19 pandemic on activities and community works. Long-term impacts can be maintained by improving administration, facilitating a more investor-friendly business environment, and increasing budgets to improve education and health facilities.Perekonomian Indonesia sejak triwulan IV-2020 telah mengalami penurunan. Pandemi Covid-19 telah menekan pertumbuhan ekonomi Indonesia. Kementerian Keuangan menyatakan, perekonomian Indonesia pada 2020 diperkirakan mencapai minus 1,7 persen hingga 0,6 persen. Tujuan penelitian ini adalah untuk mengetahui prediksi PDB Indonesia. Jenis penelitian ini adalah kuantitatif dengan menggunakan data sekunder dengan jumlah sampel sebanyak 22 sampel. Teknik analisis data yang digunakan adalah metode ARIMA. Hasil penelitian menunjukkan bahwa data stasioner pada tingkat kedua. Identifikasi model Bob-Jenkins terpilih model ARIMA (4,2,1). Hasil peramalan menunjukkan bahwa PDB Indonesia triwulan II-2020 smpai dengan triwulan II-2023 terus mengalami penurunan. Oleh karena itu, diperlukan kebijakan yang mendorong pemulihan ekonomi. Kebijakan tersebut harus mendukung peningkatan sistem kesehatan untuk mengurangi dampak pandemi Covid-19 pada aktivitas dan pekerjaan masyarakat. Dampak jangka panjang dapat dikurangi dengan perbaikan tata kelola, lingkungan bisnis yang lebih ramah kepada investor dan meningkatkan anggaran untuk memperbaiki fasilitas pendidikan dan kesehatan.
Image Georeferencing using Artificial Neural Network Compared with Classical Methods

Georeferencing process is one of the most important prerequisites for various geomatics applications; for example, photogrammetry, laser scan analysis, remotely sensing, spatial and descriptive data collection, and others. Georeferencing mostly involves the transformation of coordinates obtained from images that are inhomogeneous due to accuracy differences. The georeferencing depends on image resolution and accuracy level of measurements of reference points ground coordinates. Accordingly, this study discusses the subject of coordinate’s transformation from the image to the global coordinates system (WGS84) to find a suitable method that provides more accurate results. In this study, the Artificial Neural Network (ANN) method was applied, in addition to several numerical methods, namely the Affine divided difference, Newton’s divided difference, and polynomial transformation. The four methods were modelled and coded using Matlab programming language based on an image captured from Google Earth. The image was used to determine reference points within the study area (University of Baghdad campus). The findings of this study showed that the ANN enhanced the results by about 50% in terms of accuracy and 90% in terms of homogeneity, compared with the other methods.
Factors Influencing the Attitude and Word of Mouth of Pakistani Online Shoppers

: This study empirically analyzes the impact of perceived website quality on two variables viz., attitude of online shoppers and their electronic word of mouth (eWoM) intentions. The study further explores the impact of benefits perceived by the online shoppers on both attitude of online shoppers and eWoM. Furthermore, the mediating role of electronic Trust (eTrust) in the model is also evaluated. The authors have used field survey approach to gather respondent data. A structured and self-administered questionnaire is employed to gather data from young adult online shoppers. The hypothesized model is analyzed through partial least square – structural equation modeling (PLS-SEM) and factor analysis through IBM SPSS Statistics version 25. The findings exhibit that attitude of young adult online shoppers is highly impacted by the benefits they perceive from a particular online retail store and the perceived quality of website as well. Furthermore, the level of eTrust also works as a mediator in the development of their attitude towards a particular online retail store. The owners of online retail stores should focus on building better quality websites so that online shoppers may perceive greater benefits from an online retail store, which would result in positive customer attitudes towards online shopping and positive customer eWoM intentions. The research is only limited to young adult mobile shoppers in Lahore, Pakistan and it is a cross-sectional study, so future researches are encouraged to contribute as a longitudinal study. The originality of this research lies in the proposal and validation of the research model. With the increasing trend in online shopping, the quality of website and perceived website benefits play a key role in developing trust and positive attitude in the minds of online shoppers. Thus, this research is an empirical evidence regarding the factors involved in the development of positive customer attitude in an online shopping environment. Online retail store owners, who are planning to expand their business can formulate and implement the strategies discussed in this research paper .
A single unresolved G4 quadruplex structure spawns multiple genomic rearrangements during animal development

Faithfull DNA replication is crucial to prevent genetic heterogeneity and malignant transformation. How cells deal with endogenous DNA lesions and DNA secondary structures that hamper DNA replication is poorly understood, especially in biological contexts in which the lesions are insufficient in amount to cause cell cycle arrest. Here, we studied the genetic consequences of persistent DNA secondary structures during C. elegans development and found that a single unresolved G4 quadruplex can survive mitotic divisions, causing numerous deletions in the descending cells. We demonstrate that DOG-1/FANCJ is the principle helicase to resolve G4 quadruplexes in C. elegans and that in its absence these endogenous DNA secondary structures persist in vivo to create substrates for polymerase Theta-Mediated End Joining, providing further mechanistic insight in the mode of mutagenesis of G4 structures. Our data indicate that low frequency replication barriers escape detection and active processing, allowing them to cause multiple genomic rearrangements in proliferating tissues
A Simple C*-Algebra Generated by Two Finite-Order Unitaries

We present an example which illustrates several peculiar phenomena that may occur in the theory of C*-algebras. In particular, we show that a C*-subalgebra of a nuclear (amenable) C*-algebra need not be nuclear (amenable). The central object of this paper is a pair of abstract unitary matrices, acting on a common Hilbert space. For an explicit construction, we may decompose an infinite-dimensional Hilbert space H into H = H0 ⴲ H1 , H 1 = H α ⴲ H β with dim H 0 = dim H 1 = dim H α = dim H β, letting u, v Є B(H) be any two unitary operators such that and u2 = 1, v3 = 1. Whereas many choices of u, v are possible, it might be surprising to see that C*(u, v), the C*-algebra generated by u and v, is algebraically unique; namely, if (u1,V1) is another pair of such unitaries, then C*(u, v) is canonically *-isomorphic with C*(u 1, v 1) (Theorem 2.6).
RETROPERITONEAL ANCIENT SCHWANNOMA: A RARE DIFFERENTIAL FOR BROAD LIGAMENT FIBROID

Introduction: Broad ligament fibroid in not an unusual diagnosis in gynecological practice, but retroperitoneal ancient schwannoma (with degenerative features such as cysts calcifications) is rarely considered in differential diagnosis. This case of retroperitoneal schwannoma is being presented here for its rarity (incidence is 1-10% of all retroperitoneal tumors) and diagnosis difficulty. Schwannomas originate from Schwann cells of the peripheral nerve fibers. Preoperative diagnosis of retroperitoneal schwannoma is difficult. Prognosis of retroperitoneal benign schwannoma is extremely good. Case Presentation {Material & Methods, results}: A 25 yr old lady with complain of lower abdominal pain for 1 yr presented to private hospital where she underwent laparotomy when surgery could not be completed due to technical difficulty and patient was referred to us. On clinical examination on admission, a pelvic mass hard in consistency, immobile, non tender was palpated, suspicious of malignant pathology. Imaging (USG, CT and MRI) suggested broad ligament fibroid or retroperitoneal tumour and FNAC/ Tru cut biopsy suggested leiomyoma. On exploratory laparotomy in our hospital, a large retroperitoneal mass 10X10 cm was resected with the help of surgeons. Surgical specimen sent for frozen section was reported to be benign spindle cell tumour and HPE was reported to be benign ancient schwannoma. Postoperative course was uneventful. Conclusion: Retroperitoneal schwannoma is a rare tumour which may mimic broad ligament fibroid with difficulty in preoperative diagnosis and final diagnosis can only be made after HPE and immunohistochemical examination.
Entanglement in a second-order quantum phase transition (4 pages)

We consider a system of mutually interacting spins 1/2 embedded in a transverse magnetic field which undergoes a second-order quantum phase transition. We analyze the entanglement properties and the spin squeezing of the ground state and show that, contrarily to the one-dimensional case, a cusplike singularity appears at the critical point {lambda}{sub c} in the thermodynamical limit. We also show that there exists a value {lambda}{sub 0}{>=}{lambda}{sub c} above which the ground state is not spin squeezed despite a nonvanishing concurrence.
Assertiveness Training Format Kelompok Dalam Pelayanan Konseling

Counseling services that are effective and on target are needed by counselors. Ideally, counselors should have insight, and skills in implementing creative and innovative counseling techniques. There are still counselors who have minimal knowledge and skills regarding counseling techniques. One of them is the assertiveness training technique in the group format, which is one of the recommended behavior counseling techniques to improve individual interpersonal competence. The steps for implementing assertiveness training are (1) rational strategy, (2) identification of situations that cause problems, (3) exploration, (4) role-playing, giving feedback, and better behavioral models. (5) carry out exercises and practice, (6) repeat the exercises, (7) do homework and follow-up, and (8) terminate. This implementation shows that group format assertiveness training can be implemented in counseling services to alleviate problems and improve individual interpersonal skills. Therefore, counselors are expected to improve their skills and apply group format assertiveness training in counseling services.Counseling services that are effective and on target are needed by counselors. Ideally, counselors should have insight, and skills in implementing creative and innovative counseling techniques. There are still counselors who have minimal knowledge and skills regarding counseling techniques. One of them is the assertiveness training technique in the group format, which is one of the recommended behavior counseling techniques to improve individual interpersonal competence. The steps for implementing assertiveness training are (1) rational strategy, (2) identification of situations that cause problems, (3) exploration, (4) role-playing, giving feedback, and better behavioral models. (5) carry out exercises and practice, (6) repeat the exercises, (7) do homework and follow-up, and (8) terminate. This implementation shows that group format assertiveness training can be implemented in counseling services to alleviate problems and improve individual interpersonal skills. Therefore, counselors are expected to improve their skills and apply group format assertiveness training in counseling services.
THE CAUCHY PROBLEM OF THE HARTREE EQUATION

In this paper, we systematically study the wellposedness, illposedness of the Hartree equation, and obtain the sharp local wellposedness, the global existence in H s , s ≥ 1 and the small scattering result in H s for 2 < γ < n and s ≥ 2 − 1. In addition, we study the nonexistence of nontrivial asymptotically free solutions of the Hartree equation.
Ocular Morbidity Among Children With Protein Energy Malnutrition in Northwest Nigeria

Background: Protein energy malnutrition (PEM) remains a major health challenge in Nigeria, especially Northern Nigeria. Its association with ocular morbidity and irreversible blindness has been previously documented. There are however limited recent literature on these ocular manifestations, which may have evolved over the years. This study is thus relevant to establish a current baseline for the ocular manifestations associated with PEM in Northern Nigeria. Materials and Methods: This was a comparative, cross-sectional study. The sample size was 400 children; 200 with PEM, and 200 without PEM. Consenting parents with children between 6 – 59 months of age diagnosed with PEM, and those without PEM were recruited. Sociodemographic characteristics, general and ocular history were documented. A detailed ocular examination which included visual acuity assessment, examination of ocular adnexae, as well as the anterior and posterior segment of the eyes were done. Data was collected in a structured proforma, and analysed with the SPSS version 21, and Windows WinPepi softwares. Results: Abnormal ocular findings were significantly higher in the PEM group compared to the non-malnourished group [46.5% vs 24%, OR = 2.910 (1.891, 4.477), p = < 0.001]. The predominant ocular examination findings in the PEM and non-malnourished groups were infective conjunctivitis (35.5% vs 17%), lid oedema (11% vs 0%), signs of xerophthalmia (6% vs 0%) and visual impairment (3% vs 0%) Conclusion: PEM is still complicated by varying severity of ocular morbidity, with the potential of progression to irreversible blindness.
Impact of Co-Administration of N-Acetylcysteine and Vitamin E on Cyclophosphamide-Induced Ovarian Toxicity in Female Rats

Cyclophosphamide is used to treat various types of cancer. However, it can reduce ovarian function and fertility rate. The current study was done to compare the effects of N-acetylcysteine and vitamin E on cyclophosphamide-induced ovarian damage. Thirty-five rats were randomly divided into 5 groups: control (C), cyclophosphamide (CP, 200 mg/kg single dose intraperitoneally), T1 (cyclophosphamide + vitamin E at 200 mg/kg), T2 (cyclophosphamide + 200 mg/kg N-acetylcysteine), and T3 (cyclophosphamide + N-acetylcysteine and vitamin E at 200 mg/kg). The main measurements included total antioxidant capacity (TAC), glutathione peroxidase (GPx), malondialdehyde (MDA), interleukin 8 (IL-8), tumor necrosis factor-α (TNFα), follicle stimulating hormone (FSH), luteinizing hormone (LH), and estrogen (ES). Except for the C and T3 groups, the other groups lost weight. A significantly lower concentration of MDA was observed in the T3 group. However, TAC was substantially increased compared to the other groups. The level of GPx in the S group was significantly reduced compared to all groups. Proinflammatory markers (IL-8 and TNFα) reached their lowest serum level in the T3 group, with a statistically significant difference compared to that of the S group. In addition, there were no significant differences in the means of primary, secondary, and graph and atretic follicles between the T3 and C group. On the other hand, a decrease in FSH and LH was observed while an increase in ES was seen in the T3 group compared to the S group. This study revealed that N-acetylcysteine and vitamin E coadministration could significantly decrease the side effects of cyclophosphamide, especially in ovarian tissue.
Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings

Extracting pitch information from music recordings is a challenging but important problem in music signal processing. Frame-wise transcription or multi-pitch estimation aims for detecting the simultaneous activity of pitches in polyphonic music recordings and has recently seen major improvements thanks to deep-learning techniques, with a variety of proposed model architectures. In this paper, we compare different architectures based on convolutional neural networks, the U-net structure, and self-attention components. We propose several modifications to these architectures including self-attention modules for skip connections, recurrent layers to replace the self-attention, and a multi-task strategy with simultaneous prediction of the degree of polyphony. We compare variants of these architectures in different sizes for multi-pitch estimation, focusing on Western classical music beyond the piano-solo scenario using the MusicNet and Schubert Winterreise datasets. Our experiments indicate that most architectures yield competitive results and that larger model variants seem to be beneficial. However, we find that these results substantially depend on randomization effects and the particular choice of the training–test split, which questions the claim of superiority for particular architectures given only small improvements. We therefore investigate the influence of dataset splits in the presence of several movements of a work cycle (cross-version evaluation) and propose a best-practice evaluation strategy for MusicNet, which weakens the influence of individual test tracks and suppresses overfitting to specific works and recording conditions. A final cross-dataset evaluation suggests that improvements on one specific dataset do not necessarily generalize to other scenarios, thus emphasizing the need for further high-quality multi-pitch datasets in order to reliably measure progress in music transcription tasks.