Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Pelvic Floor Workout on Pelvic Floor Muscle Function Recovery of Postpartum Women: Protocol for a Randomized Controlled Trial

Background: There is a risk of pelvic floor dysfunction (PFD) from baby delivery. Many clinical guidelines recommend pelvic floor muscle training (PFMT) as the conservative treatment for PFD because pelvic floor muscles (PFMs) play a crucial role in development of PFD. However, there is disagreement about the method and intensity of PFM training and the relevant measurements. To pilot the study in PFM training, we designed a Pelvic Floor Workout (PEFLOW) for women to train their pelvic through entire body exercises, and we planned a trial to evaluate its effectiveness through comparing the outcomes from a group of postpartum women who perform PELFLOW at home under professional guidance online with the control group. Methods/design: The randomized controlled trial was projected to be conducted from November 2021 to March 2023. A total of 260 postpartum women would be recruited from the obstetrics departments of the study hospital and women would be eligible for participation randomized into experimental or control groups (EG/CG) if their PFM strength are scaled by less than Modified Oxford grading Scale (MOS) to be less than grade 3. Women in EG would perform a 12-week PEFLOW online under the supervision and guidance of a physiotherapist, while women in CG would have no interventions. Assessments would be conducted at enrollment, post intervention (for EG) or 18th to 24th week postpartum (for CG), and 1 year postpartum. Assessment would be performed in terms of pelvic floor symptoms, including MOS, cough stress test, urinary leakage symptoms, pelvic organ prolapse quantitation (POP-Q), and vaginal relaxation, clinic examinations including Pelvic floor electrophysiological test, Pelvic floor ultrasound and Spine X-ray, overall body test including trunk endurance test, handgrip test, body composition test, and questionnaires including International Physical Activity Questionnaire Score-Short Form(IPAQ-SF), Pelvic Floor Distress Inventory Questionnaire-20 (PFDI-20), Pelvic Floor Impact Questionnaire-7 (PFIQ-7), the 6-item Female Sexual Function Index (FSFI-6), and the Pittsburgh Sleep Quality Index (PSQI). Primary analysis will be performed to test our main hypothesis that PEFLOW is effective with respect to strengthen PFM strength. Discussion: This trial will demonstrate that pelvic floor-care is accessible to most women and clinical practice on PFD may change relevantly should this study find that Online PEFLOW approach is effective to improve PFMs. Trial registration: ClinicalTrials.gov, NCT05218239.
Adaptive memories for the Quadratic Assignment Problems

The paper proposes, compares and analyses different memory- based meta-heuristics for the quadratic assignment problem (QAP). Two of these methods (FANT and GDH) are new while two others (HAS-QAP and GTSH) are among the best for structured QAP instances. These methods are based on ant systems and genetic algorithms and they are presented under a unified general scheme, called adaptive memory programming (AMP). However, they use different types of memory and different improving procedures. Two new memoryless methods (VNS-QAP and RVNS-QAP) based on variable neighbourhood search are also proposed and compared with adaptive memory procedures.
“At the Root of COVID Grew a More Complicated Situation”: A Qualitative Analysis of the Guatemalan Gender-Based Violence Prevention and Response System during the COVID-19 Pandemic

A growing body of literature has documented an increased risk of gender-based violence (GBV) within the context of COVID-19 and service providers’ reduced capacity to address this vulnerability. Less examined are the system-level impacts of the pandemic on the GBV sector in low- and middle-income countries. Drawing on the perspectives of 18 service providers working across various GBV-related sectors in Guatemala, we explored how the Guatemalan GBV prevention and response system operated during the COVID-19 pandemic. Findings highlight that the pandemic reinforced survivors’ existing adversities (inadequate transportation access, food insecurity, digital divides), which subsequently reduced access to reporting, justice, and support. Consequently, the GBV prevention and response system had to absorb the responsibility of securing survivors’ essential social determinants of health, further limiting already inflexible budgets. The pandemic also imposed new challenges, such as service gridlocks, that negatively affected survivors’ system navigation and impaired service providers’ abilities to efficiently receive reports and mobilize harm reduction and prevention programming. The findings underscore the systemic challenges faced by GBV service providers and the need to incorporate gender mainstreaming across public service sectors—namely, transportation and information/communication—to improve lifesaving GBV service delivery for Guatemalan survivors, particularly survivors in rural/remote regions.
Determinant Factors for High-Risk Pregnancy among Minangkabau Ethnicity in Indonesia

BACKGROUND: High-risk pregnancy cause multifactorial. The lack of investment in better and more accessible hospital care for women and newborns in Indonesia may be partly to blame for the country's disproportionately high rates of high-risk pregnancy, maternal, and perinatal death. AIM: The aim of this study was to determine determinant factors for high-risk pregnancy among minangkabau ethnicity in Indonesia. Method: The authors conducted a case control study. Data were gathered in Healthcare Facilities Padang, Indonesia from December 2019-December 2020. The number of subjects in this research were 64 cases group (women with high-risk pregnancy) and 128 control group (normal pregnancy) matching by sex and region. The sampling technique in this research was proportional random sampling. Data were gathered from medical records and primary data collection with survey data. Bivariate and multivariate analysis were investigated using Chi-square and Logistic binary regression test. The data were analyzed using STATA version 14.2. Result: There were associations between mother's educational level, women's empowerment, head of the family educational level, chronic diseases, history of childbirth, maternal age and parity with high-risk pregnancy. Multivariate analysis found that the highest Odds ratio (OR) for the occurrence of high-risk pregnancy were history of childbirth (OR = 8.26, 95% CI 3.32-20.52), and mother's level of education (OR = 5.67, 95% CI 2.64-12.15). Conclusion: This analysis confirmed the history of childbirth and the mother’s level of education for high-risk pregnancy among Minangkabau ethnicity in Indonesia. The findings of risk factors for a high-risk pregnancy can be determined through early detection and useful predictors so that women can detect high-risk pregnancy themselves.
Educational Interventions to Reduce Prescription and Dispensing of Antibiotics in Primary Care: A Systematic Review of Economic Impact

Antibiotic resistance remains a crucial global public health problem with excessive and inappropriate antibiotic use representing an important driver of this issue. Strategies to improve antibiotic prescription and dispensing are required in primary health care settings. The main purpose of this review is to identify and synthesize available evidence on the economic impact of educational interventions to reduce prescription and dispensing of antibiotics among primary health care professionals. Information about the clinical impact resulting from the implementation of interventions was also gathered. PubMed, Scopus, Web of Science and EMBASE were the scientific databases used to search and identify relevant studies. Of the thirty-three selected articles, most consisted of a simple intervention, such as a guideline implementation, while the others involved multifaceted interventions, and differed regarding study populations, designs and settings. Main findings were grouped either into clinical or cost outcomes. Twenty of the thirty-three articles included studies reporting a reduction in outcome costs, namely in antibiotic cost and associated prescription costs, in part due to an overall improvement in the appropriateness of antibiotic use. The findings of this study show that the implementation of educational interventions is a cost-effective strategy to reduce antibiotic prescription and dispensing among primary healthcare providers.
Accurate and Efficient Methods for Differential Systems with Special Structures

The numerical solution of differential equations is important in many branches of science, and accurate and stable algorithms are needed. The derivation and analysis of these methods is quite sophisticated and uses intricate mathematical tools such as B-series and Lie Algebras and Lie Groups. Our aim is to develop new numerical methods, and new methods of analysis, for Hamiltonian problems and other problems for which good qualitative behaviour is essential. The starting point in this thesis is a new class of effective order five methods based on the algebraic structure associated with Runge–Kutta methods. This leads us to another class of symplectic effective order methods which are designed for the solution of differential equations with quadratic invariants. G-symplectic general linear methods, for which parasitic growth factors are zero, are a possible alternative to symplectic Runge–Kutta methods. They have a similar ability to preserve quadratic invariants over extended time intervals. They have lower implementation costs and are designed to approximately preserve the quadratic invariants of the Hamiltonian systems. In this thesis, G-symplectic general linear methods are investigated theoretically and computationally. As for Runge–Kutta methods, there is an interaction between order conditions and the symplectic conditions, resulting in significant simplifications. To evaluate the order conditions for the G-symplectic general linear methods and the possible extension to any order is presented in this thesis. Finally the construction of sixth order G-symplectic general linear method with the additional properties of time reversal symmetry and freedom from parasitism is presented.
Experiences with Glofitamab Administration following CAR T Therapy in Patients with Relapsed Mantle Cell Lymphoma

Mantle cell lymphoma (MCL) is a rare type of B-cell Non-Hodgkin lymphoma (NHL) affecting predominantly male patients. While complete remissions following first-line treatment are frequent, most patients ultimately relapse, with a usually aggressive further disease course. The use of cytarabine-comprising induction chemotherapy and autologous stem cell transplantation, Rituximab maintenance, Bruton’s tyrosine kinase (BTK) inhibitors and CAR T therapy has substantially improved survival. Still, options for patients relapsing after CAR T therapy are limited and recommendations for the treatment of these patients are lacking. We report two cases of patients with mantle cell lymphoma who relapsed after CAR T therapy and were treated with the bispecific CD20/CD3 T cell engaging antibody glofitamab. Both patients showed marked increases of circulating CAR T cells and objective responses after glofitamab administration. Therapy was tolerated without relevant side effects in both patients. One patient completed all 12 planned cycles of glofitamab therapy and was alive and without clinical progression at the last follow-up. The second patient declined further treatment after the first cycle and succumbed to disease progression. We review the literature and investigate possible mechanisms involved in the observed responses after administration of glofitamab, such as proliferation of CAR T cells, anti-tumor effects of the bispecific antibody and the role of other possibly contributing factors. Therapy with bispecific antibodies might offer an effective and well-tolerated option for patients with mantle cell lymphoma relapsing after CAR T therapy.
Hawk Tea Flavonoids as Natural Hepatoprotective Agents Alleviate Acute Liver Damage by Reshaping the Intestinal Microbiota and Modulating the Nrf2 and NF-κB Signaling Pathways

Hawk tea (Litsea coreana Levl. var. lanuginosa) is a traditional herbal tea in southwestern China, and was found to possess hepatoprotective effects in our previous study. However, it is unclear whether hawk tea flavonoids (HTF) can alleviate alcoholic liver damage (ALD). Firstly, we extracted and identified the presence of 191 molecules categorized as HTFs, with reynoutrin, avicularin, guaijaverin, cynaroside, and kaempferol-7-O-glucoside being the most prevalent. After taking bioavailability into consideration and conducting comprehensive sorting, the contribution of guaijaverin was the highest (0.016 mg/mice). Then, by daily intragastric administration of HTF (100 mg/kg/day) to the ALD mice, we found that HTF alleviated liver lipid deposition (inhibition of TG, TC, LDL-C) by reducing liver oxidative-stress-mediated inflammation (up-regulation NRF2/HO-1 and down-regulation TLR4/MyD88/NF-κB pathway) and reshaping the gut microbiota (Lactobacillus, Bifidobacterium, Bacillus increased). Overall, we found HTF could be a potential protective natural compound for treating ALD via the gut–liver axis and guaijaverin might be the key substance involved.
Some Morphological Characteristics of İspenç Roosters and Chickens

Anahtar Kelimeler İspenç tavuğu, Minyatür tavuk, Morfolojik Karakterizasyon, Yerli tavuk ırkları Özet: Bu araştırma, uzun yıllardır ülkemiz şartlarına başarı ile uyum sağlamış İspenç genotipine ait horoz ve tavuklarda bazı morfolojik standartları belirlemek amacıyla yapılmıştır. Araştırmada İspenç genotipine ait 105 horoz ve 146 tavukta 27 farklı morfolojik parametre incelenmiş ve örneklemeler Ankara, İzmir ve Antalya illerinde yetiştirilen farklı yaş dönemlerindeki farklı İspenç popülasyonlarında yapılmıştır. Araştırma bulgularına göre İspenç genotipinde vücut deri rengi beyaz olarak saptanmış ve tüm hayvanlarda yanak ve sakal tüyleri gözlenmiştir. İspenç genotipinin her iki cinsiyetinde de ayak bileklerinde paça tüyleri saptanmış ve her ayakta 5 adet parmak oluşumu gözlenmiştir. İspenç horoz ve tavuklarında ortalama canlı ağırlık sırasıyla 0.733 ve 0.582 kg, vücut uzunluğu 41.85 ve 35.59 cm, açık kanat uzunluğu 50.04 ve 54.46, sırt uzunluğu 11.58 ve 10.98 cm, göğüs genişliği 61.42 ve 55.32 mm ve boyun uzunluğu 71.71 ve 69.17 mm olarak saptanmıştır. Horozlarda yaş dönemi ile birlikte kafatası uzunluğu (P<0.05), kafatası genişliği (P<0.05), ibik uzunluğu (P<0.001), ibik genişliği (P<0.001) ve oküler genişlik (P<0.05) değerleri önemli düzeyde artarken, tavuklarda yaş dönemi ile birlikte kafatası uzunluğu (P<0.05), ibik uzunluğu (P<0.001), ibik genişliği (P<0.001) ve oküler uzunluk (P<0.05) değerlerindeki artış önemli bulunmuştur. Sonuç olarak bu araştırma İspenç genotipi üzerinde yapılan ilk çalışma niteliğindedir. Araştırma bulgularının İspenç genotipinin yerli tavuk ırkı olarak tescil edilme sürecine katkı sağlayacağı düşünülmektedir.
Tear Biomarkers in Alzheimer’s and Parkinson’s Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review)

Biological material is one of the most important aspects that allow for the correct diagnosis of the disease, and tears are an interesting subject of research because of the simplicity of collection, as the well as the relation to the components similar to other body fluids. In this review, biomarkers for Alzheimer’s disease (AD), Parkinson’s disease (PD), and multiple sclerosis (MS) in tears are investigated and analyzed. Records were obtained from the PubMed and Google Scholar databases in a timeline of 2015–2022. The keywords were: tear film/tear biochemistry/tear biomarkers + diseases (AD, PD, or MS). The recent original studies were analyzed, discussed, and biomarkers present in tears that can be used for the diagnosis and management of AD, PD, and MS diseases were shown. α-synTotal and α-synOligo, lactoferrin, norepinephrine, adrenaline, epinephrine, dopamine, α-2-macroglobulin, proteins involved in immune response, lipid metabolism and oxidative stress, apolipoprotein superfamily, and others were shown to be biomarkers in PD. For AD as potential biomarkers, there are: lipocalin-1, lysozyme-C, and lacritin, amyloid proteins, t-Tau, p-Tau; for MS there are: oligoclonal bands, lipids containing choline, free carnitine, acylcarnitines, and some amino acids. Information systematized in this review provides interesting data and new insight to help improve clinical outcomes for patients with neurodegenerative disorders.
The Importance of Entrepreneurship on Economic Development. Evidence From the OECD Countries

The process of a country's economic growth and development is a very complex phenomenon, influenced by numerous factors, which has attracted the attention of researchers and policymakers over time. Several studies highlight the important role of entrepreneurship on economic growth, by introducing innovative technologies, creating new products, promoting new jobs and employment opportunities, but also improving competition and competitiveness. Although the impact of entrepreneurship on economic growth has been broadly analysed in the economic literature over the recent years, few studies have examined the impact of entrepreneurship on economic development. The aim of this paper is to fill this gap, using the Human Development Index (HDI) as a suitable proxy for measuring economic development, taken from the United Nations statistics. HDI is a composite measure of average achievement in key dimensions of human development, such as, life expectancy, education level and standards of living. On the other hand, Entrepreneurship is measured by Total Entrepreneurial Activity (TEA) taken from the Global Entrepreneurship Monitor, which expresses the percentage of population with age between 18 and 64, who are either a nascent entrepreneur or owner-manager of a new business. The empirical model is drawn from the endogenous growth theory, assuming that entrepreneurship and human capital skills are the key drivers of economic development, along with capital stock. The empirical analysis is based on unbalanced panel data regressions for a sample of 37 OECD countries using annual data for the period 2000-2018. Estimating a dynamic panel data model by using the GMM two-step system approach, we obtain evidence indicating the positive association between the development level and entrepreneurship, as well as the positive impact of human capital and capital stock on development. Our empirical results are in line with the endogenous growth theory approach, showing that entrepreneurship can be considered as an additional factor input in the countries’ economic development pathway.
Key questions about Galactic Center dynamics

I discuss four key questions about Galactic Center dynamics, their implications for understanding both the environment of the Galactic MBH and galactic nuclei in general, and the progress made in addressing them. The questions are (1) Is the stellar system around the MBH relaxed? (2) Is there a "dark cusp" around the MBH? (3) What is the origin of the stellar disk(s)? , and (4) What is the origin of the S-stars?
M-Government Cooperation for Sustainable Development in China: A Transaction Cost and Resource-Based View

Mobile government (m-Government) is highly valued by many countries and governments worldwide for its important technical, economic, and political benefits. A development trend worthy of attention in China is that various public mobile services are provided through the cooperation between governments and Internet enterprises. The m-Government cooperation, as component of the public service system, has both a benefit safeguard function by mitigating transaction hazards and a value creation function by sharing advantageous resources. Previous studies have not explained both functions for m-Government cooperation. This study addresses this research gap. We establish a theoretical model by developing hypotheses from integrating model of Transaction Costs Theory (TCT) and Resource-based Theory (RBT). The OLS and Poisson regression method are used to test the proposed model by using cross-sectional data collected from 284 cities in China. Results show that strategy alliance, technology-specific knowhow, and financial security positively influence m-Government cooperation, asset specificity negatively influences the m-Government cooperation, and environmental certainty has no significant impact on m-Government cooperation. From the perspectives of technology, policy, and culture, the article puts forward suggestions on how to better promote m-Government cooperation in China, including promoting the government’s digital capabilities, improving the citizen’ privacy protection system and cultivating a public-private cooperative culture of mutual trust.
Sustaining the critical in CHRD in higher education institutions: the impact of new public management and implications for HRD

ABSTRACT Adoption of Critical Human Resource Development (CHRD) and its capacity to change practice is influenced by the political context. HRD professionals learn to challenge their political context through CHRD teaching and research in the ‘safe space’ of Higher Education Institutions (HEIs). Yet, the increasingly global discourse of New Public Management (NPM), associated with what we call new performance measurement, constrains engagement with CHRD. This paper demonstrates the impact of NPM and research performance measurement on HRD scholarship, CHRD agendas, HRD professional development and HRD practice through discourse analysis of Impact Case Studies and their underpinning research as presented in the UK government’s 2014 Research Excellence Framework (REF 2014). Use of national research evaluations with a focus on impact is currently spreading across the globe, and so is of international significance. We identify that although CHRD is consistently adopted in underpinning academic research publications it does not transfer into written impact cases. We conclude that context has the power to silence CHRD, and we challenge CHRD scholars to seek alternative formats to inform practice that do not disguise potential negative impacts. We also caution that silencing critical academic voice diminishes the ability of pedagogic curriculum to challenge and enhance HRD practice.
Computational black hole dynamics

Over the last decade, advances in computer hardware and numerical algorithms have opened the door to the possibility that simulations of sources of gravitational radiation can produce valuable information of direct relevance to gravitational wave astronomy. One source in particular is believed to be of extreme importance: the inspiral and merger of a binary black hole system. Simulations of binary black hole systems involve solving the Einstein equation in full generality. Such a daunting task has been one of the primary goals of the numerical relativity community. This review article focuses on the computational modelling of binary black holes. It provides a basic introduction to the subject and is intended for non-experts in the area of numerical relativity.