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Idiopathic hirsutism (IH) is a common clinical condition with multiple diagnostic and therapeutic uncertainties. There are no clear recommendations for the diagnosis and management of the condition. This practice update was developed to guide the primary care physicians and the specialists in better and more systematic management of IH particularly in the Indian context. Twelve experienced members consisting of eminent endocrinologists, physicians, a dermatologist, a gynaecologist and a psychiatrist were invited by the Integrated Diabetes and Endocrine Academy (IDEA). A literature search was performed using online databases from PubMed, Cochrane Library and Google Scholar. Published articles from peer-reviewed indexed journals, with a preference for meta-analyses and randomized controlled trials, were selected. A meeting took place with all the 12 members individually giving their opinions on predetermined questions of interest. After the initial meeting during IDEACON 2023, two more meetings were held and the practice update was formulated after voting. Practice updates were made on important areas such as the cut-off for modified Ferriman-Gallwey Score for the Indian population, conditions to be excluded before diagnosing IH, when to refer to specialists, investigations in a suspected case of IH and choice of therapies for its management.

Abstract We report the close form expressions of the photon number statistics for a generalized coherent state and a generalized photon-added coherent state, which are shown to be crucial for proposing a variety of quantum scissor operations. The analytically obtained distributions are also capable of predicting the precise laser intensity windows for realizing a variety of quantum scissors. Truncating a photon added state overcomes the selection rule of obtaining the lower order Fock states. Photon addition also enables us to obtain a higher order Fock state in a lower order superposition. The importance of circular geometry is also demonstrated for engineering such quantum scissors.

Purpose – This study analyzes the relationship between Islamic banking financing and macroeconomic variables as well as its response to key economic variables. Methodology – The research design uses quantitative analysis with Islamic banking panel data for the period 2019-2022 with monthly data, and the study used the Vector Error Correction Model (VECM). Findings – Non Performing Financing (NPF) and Inflation negatively impact Islamic banking financing. Meanwhile, Third Party Funds (Dana Pihak Ketiga, DPK), Net Operating Margin (NOM), Return on Assets (ROA), Equivalent Rate of Musyarakah (ERPMUSY), and BI rates have a positive direction of significance for Islamic banking financing. In the Granger causality test, the interaction between the variables was unidirectional. While Islamic banking financing responds to shocks, many financings respond negatively to the shocks that occur. Implications – Islamic Financing responds significantly in a negative direction as a result of the shocks that occur in each variable and based on long-term estimates. Therefore, Islamic banking needs to supervise and resolve the internal influence of each bank, as well as the macro influence that can be felt in the long term on Islamic banking financing. Originality – This research integrates Islamic banking finance in Indonesia and examines how internal and macro variables can influence the financing disbursed to Islamic banking in Indonesia. This study also examines shocks between variables and tests the Granger causality between variables. Islamic banking needs to pay attention to many factors to minimize bad financing or lack of interest in applying for financing.

Lifespan is a complex quantitative trait involving genetic and non-genetic factors as well as the peculiarities of ontogenesis. As with all quantitative traits, lifespan shows considerable variation within populations and between individuals. Drosophila, a favourite object of geneticists, has greatly advanced our understanding of how different forms of variability affect lifespan. This review considers the role of heritable genetic variability, phenotypic plasticity and stochastic variability in controlling lifespan in Drosophila melanogaster. We discuss the major historical milestones in the development of the genetic approach to study lifespan, the breeding of long-lived lines, advances in lifespan QTL mapping, the environmental factors that have the greatest influence on lifespan in laboratory maintained flies, and the mechanisms, by which individual development affects longevity. The interplay between approaches to study ageing and lifespan limitation will also be discussed. Particular attention will be paid to the interaction of different types of variability in the control of lifespan.

Abstract Background Clinical governance requires health care professionals to improve standards of care and has resulted in comparison of clinical performance data. The Myocardial Infarction National Audit Project (a UK cardiology dataset) tabulates its performance. However funnel plots are the display method of choice for institutional comparison. We aimed to demonstrate that funnel plots may be derived from MINAP data and allow more meaningful interpretation of data. Methods We examined the attainment of National Service Framework standards for all hospitals (n = 230) and all patients (n = 99,133) in the MINAP database between 1st April 2003 and 31st March 2004. We generated funnel plots (with control limits at 3 sigma) of Door to Needle and Call to Needle thrombolysis times, and the use of aspirin, beta-blockers and statins post myocardial infarction. Results Only 87,427 patients fulfilled criteria for analysis of the use of secondary prevention drugs and 15,111 patients for analysis by Door to Needle and Call to Needle times (163 hospitals achieved the standards for Door to Needle times and 215 were within or above their control limits). One hundred and sixteen hospitals fell outside the 'within 25%' and 'more than 25%' standards for Call to Needle times, but 28 were below the lower control limits. Sixteen hospitals failed to reach the standards for aspirin usage post AMI and 24 remained below the lower control limits. Thirty hospitals were below the lower CL for beta-blocker usage and 49 outside the standard. Statin use was comparable. Conclusion Funnel plots may be applied to a complex dataset and allow visual comparison of data derived from multiple health-care units. Variation is readily identified permitting units to appraise their practices so that effective quality improvement may take place.

Phenotyping is used in plant breeding to identify genotypes with desirable characteristics, such as drought tolerance, disease resistance, and high-yield potentials. It may also be used to evaluate the effect of environmental circumstances, such as drought, heat, and salt, on plant growth and development. Wheat spike density measure is one of the most important agronomic factors relating to wheat phenotyping. Nonetheless, due to the diversity of wheat field environments, fast and accurate identification for counting wheat spikes remains one of the challenges. This study proposes a meticulously curated and annotated dataset, named as SPIKE-segm, taken from the publicly accessible SPIKE dataset, and an optimal instance segmentation approach named as WheatSpikeNet for segmenting and counting wheat spikes from field imagery. The proposed method is based on the well-known Cascade Mask RCNN architecture with model enhancements and hyperparameter tuning to provide state-of-the-art detection and segmentation performance. A comprehensive ablation analysis incorporating many architectural components of the model was performed to determine the most efficient version. In addition, the model’s hyperparameters were fine-tuned by conducting several empirical tests. ResNet50 with Deformable Convolution Network (DCN) as the backbone architecture for feature extraction, Generic RoI Extractor (GRoIE) for RoI pooling, and Side Aware Boundary Localization (SABL) for wheat spike localization comprises the final instance segmentation model. With bbox and mask mean average precision (mAP) scores of 0.9303 and 0.9416, respectively, on the test set, the proposed model achieved superior performance on the challenging SPIKE datasets. Furthermore, in comparison with other existing state-of-the-art methods, the proposed model achieved up to a 0.41% improvement of mAP in spike detection and a significant improvement of 3.46% of mAP in the segmentation tasks that will lead us to an appropriate yield estimation from wheat plants.

The purpose of this research is to examine the variables that effect financial performance mediated by NOM. The independent variables in this research are NPF, BOPO, FDR, and BASIL and ROA as the dependent variable. The population in this study were 14 Islamic Commercial Banks. 9 Islamic Commercial Banks were used as samples. The data is taken from the quarterly financial statements for the 2019-2020 period. The analytical technique used is Multiple Regression test with path analysis. The BASIL variable has a positive effect on NOM and a negative effect on ROA. The BOPO variable has no effect on NOM and has a positive effect on ROA. The FDR variable has a negative effect on NOM and has a negative effect on ROA. The NOM variable has a positive effect on ROA. The NPF variable has a positive effect on NOM and has no effect on ROA. Then the variable NOM succeeded in mediating the BASIL, BOPO, FDR and NPF variables on ROA. For future research, it is necessary to make observations for a longer time and include risk variables on profitability and choose other sectors besides Islamic Commercial Banks

Penelitian Tindkan Kelas ini bertujuan untuk meningkatkan motivasi dan hasil belajar geografi pada Keragaman Budaya Bangsa Indonesia melalui penerapan model pembelajaran Student Facilitator And Explaining (SFAE), pada siswa kelas XI IPS 2 SMAN 1 Leuwiliang. Subjek penerima tindakan adalah siswa kelas XI IPS 2 SMAN 1 Leuwiliang bagian sesi B yang terdiri dari 10 siswa perempuan dan 5 siswa laki laki dan subjek pemberi tindakan adalah guru geografi kelas XI IPS 2. Teknik pengumpulan data dilakukan melalui tes, observasi, catatan lapangan dan dokumentasi. Teknik analisis data dilakukan secara deskriptif kualitatif dengan model alur, yaitu data dianalisis sejak tindakan pembelajaran dilaksanakan dan dikembangkan selama proses pembelajaran. Hasil penelitian ini menunjukkan adanya peningkatan motivasi dan hasil belajar siswa. Hal ini dapat dilihat dari antusiasme siswa meningkat dari skor 95,4 pada siklus 1 menjadi 96,7 pada siklus kedua. Hasil belajar siswa mengalami peningkatan dari rata-rata 69,93 (46% siswa tuntas) sebelum perlakuan menjadi 80,07 (80% siswa tuntas) pada silus kesatu dan 90,33 (100% siswa tuntas) pada siklus kedua. Dari hasil penelitian dapat disimpulkan bahwa: (1) penerapan model pembelajaran Student Facilitator And Explaining (SFAE) pada Keragaman Budaya Bangsa Indonesia dapat meningkatkan motivasi siswa, dan (2) penerapan model pembelajaran Student Facilitator And Explaining (SFAE) pada Keragaman Budaya Bangsa Indonesia dapat meningkatkan hasil belajar siswa. Kata kunci : student facilitator and explaining , motivasi, hasil belajar

Zmajevina

The spatio-temporal regulation of gene expression determines the fate and function of various cells and tissues and, as a consequence, the correct development and functioning of complex organisms. Certain mechanisms of gene activity regulation provide adequate cell responses to changes in environmental factors. Aside from gene expression disorders that lead to various pathologies, alterations of expression of particular genes were shown to significantly decrease or increase the lifespan in a wide range of organisms from yeast to human. Drosophila fruit fly is an ideal model system to explore mechanisms of longevity and aging due to low cost, easy handling and maintenance, large number of progeny per adult, short life cycle and lifespan, relatively low number of paralogous genes, high evolutionary conservation of epigenetic mechanisms and signalling pathways, and availability of a wide range of tools to modulate gene expression in vivo. Here, we focus on the organization of the evolutionarily conserved signaling pathways whose components significantly influence the aging process and on the interconnections of these pathways with gene expression regulation.

Objective To quantify the implementation of the third Joint British Societies’ Consensus Recommendations for the Prevention of Cardiovascular Disease (JBS3) after coronary event.Methods Using a cross-sectional survey design, patients were consecutively identified in 36 specialist and district general hospitals between 6 months and 2 years, after acute coronary syndrome or revascularisation procedure and invited to a research interview. Outcomes included JBS3 lifestyle, risk factor and therapeutic management goals. Data were collected using standardised methods and instruments by trained study nurses. Blood was analysed in a central laboratory and a glucose tolerance test was performed.Results 3926 eligible patients were invited to participate and 1177 (23.3% women) were interviewed (30% response). 12.5% were from black and minority ethnic groups. 45% were persistent smokers, 36% obese, 52.9% centrally obese, 52% inactive; 30% had a blood pressure >140/90 mm Hg, 54% non-high-density lipoprotein ≥2.5 mmol/L and 44.3% had new dysglycaemia. Prescribing was highest for antiplatelets (94%) and statins (85%). 81% were advised to attend cardiac rehabilitation (86%

Th is study aims to investigate the eff ect of lower extremity (LE) injuries on bilateral hamstring eccentric strength imbalance (HSI) and to determine the relationship between body weight (BW) and HSI in young male soccer players. Eighty-eight young soccer players aged 14-19 in Turkey voluntarily participated in this study. Eccentric hamstring strength measurements were taken using a NordBord® Hamstring Testing Device. To obtain the LE backgrounds of the participants, individual interviews were administered to the players, and the obtained data were verifi ed through a review of previous injury records. While 22 (25%) out of 88 players reported LE injuries in the previous two years (injured players (IP)), the rest of them (75%) did not report any LE injuries (non-injured players (NP)). HSI values as peak forces were computed by extracting the weaker leg values from the stronger leg values. Both the Analysis of Variance (ANOVA) and the Analysis of Covariance (ANCOVA) were performed, controlling the BW eff ect in order to test the eff ects of LE injuries on HSI. Correlation analysis was also conducted, taking into consideration the previous research fi ndings on the relationship between body weight and strength variables. Th ere was signifi cant relationship between BW and HSI ((p r >0.02)) and non-signifi cant results for HSI (F (1.85) =0.578, p>0.05). However, the eff ect of BW was signifi cant for HSI (F (1.85) =3.91, p

Introducere. Mieloza funiculară presupune degenerare medulară de tip demielinizant, fiind asociată în majoritatea cazurilor cu anemie pernicioasă, aclorhidrie gastrică și manifestările neurologice (parestezii). Mielita reprezintă o afecțiune neurologică polietiologică caracterizată prin inflamație localizată strict la nivelul măduvei spinării manifestându-se prin slăbiciuni sau paralizie musculară rapid progresive dependente de zona afectată. Prezentare de caz. Pacient, bărbat de 56 ani, este internat în secția Terapie cu diagnosticul de pneumonie comunitară, acuzând febră 39°C, frisoane, tuse uscată, cefalee, tremor cu senzație de hiperestezie toracală, astenie generală. Atât pe parcursul aflării sale în staționar, cât și ambulator pacientul a fost amplu investigat, consultat de medicul reumatolog, hematolog, neurolog suspectându-se o afectare medulară cervicală de geneză carenţială și recomandată inițierea tratamentului de substituție cu Vit B12. În dinamică s-a constatat avansarea simptomatologiei neurologice, ceea ce a sugerat suspectarea asocierii unui proces demielinizant, însă benzile oligoclonale în lichidul cefalorahidian s-au dovedit a fi negative. A fost decis tratament cu plasmafereză şi pulsterapie hormonală. S-a atestat o ușoară dinamică pozitivă neurologică: ameliorarea motilității și diminuarea paresteziilor. Concluzii. Mieloza funiculară poate să apară și să evolueze fără manifestări anemice, dar obligatoriu se determină dereglări sfincteriene, în special, incontinență urinară.

Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors. For this reason, logistics play a significant role in the warehousing, shipments, and transportation of the products. Therefore, the high utilization of resources can improve the profit margins and reduce unnecessary storage or shipping costs. One significant issue in shipments is the Pallet Loading Problem (PLP) which can generally be solved by seeking to maximize the total number of boxes to be loaded on a pallet. In many previous studies, various solutions for the PLP have been suggested in the context of logistics and shipment delivery systems. In this paper, a novel two-phase approach is presented by utilizing a number of Machine Learning (ML) models to tackle the PLP. The dataset utilized in this study was obtained from the DHL supply chain system. According to the training and testing of various ML models, our results show that a very high (>85%) Pallet Utilization Volume (PUV) was obtained, and an accuracy of >89% was determined to predict an accurate loading arrangement of boxes on a suitable pallet. Furthermore, a comprehensive analysis of all the results on the basis of a comparison of several ML models is provided in order to show the efficacy of the proposed methodology.

This research aims to find out the performance condition of Islamic Rural Bank in Indonesia using the ranking system. This system seems to any bank that has the highest and lowest rank. This system can be observed with Maqasid Syariah or by seeing the profitability ratio. After we can discover the ranking , we move forward to analyze it using the two observation method called the Four Quadrant Kartesius Diagram. This research used a secondary data from quarterly financial report from March 2013 until December 2015. Based on the test result, when using Maqasid Syariah Index (MSI), there is difference between the first ranks and otherwise placed. While when using Comparative Performance Index (CPI), one of ranked first while other at the lowest rank.

Analytical and numerical solutions of a non-linear MHD flow with heat and mass transfer characteristics of an incompressible, viscous, electrically conducting and Boussinesq’s fluid over a vertical oscillating plate embedded in a Darcian porous medium in the presence of thermal radiation effect have been presented. The fluid considered here is gray, absorbing/emitting radiating, but non-scattering medium. At time t > 0, the plate temperature and concentration near the plate raised linearly with time t. The dimensionless governing coupled, non-linear boundary layer partial differential equations are solved by an efficient, accurate, extensively validated and unconditionally stable finite difference scheme of the Crank–Nicolson type as well as by the Laplace Transform technique. An increase in porosity parameter (K) is found to depress fluid velocities and shear stress in the regime. Also it has been found that, when the conduction-radiation (R) increased, the fluid velocity and the temperature profiles decreased. Applications of the study arise in materials processing and solar energy collector systems. Keywords: Crank–Nicolson, Absorbing/emitting radiation, Darcian porosity, Shear stress, Materials processing, Boussinesq’s approximation

In 2001, UNESCO proclaimed the Ifugao epic hudhud as one of the 19 masterpieces of the oral and intangible heritage of humanity. This study aims to promote greater understanding and of appreciation, and interest in the epics, highest form of oral literature. The analysis is anchored on E. Arsenio Manuel's theory of the Philippine ethno-epic. A descriptive-qualitative method was used in this study. Immersion, observation and random informal interviews in Ifugao (Kiangan, Asipulo and Lagawe) were employed in gathering and validating data. The narrative structure and characterization of the epic heroes were determined through textual analysis. A contextualist approach in the analysis of the text was utilized to validate the identified Ifugao culture that is still practiced today. The epic reveals the beauty and legacy of the great ancestors of the highland that need to be protected and preserved. This study helps in the preservation of the sacredness of the tradition. Likewise, it also proves that the hudhud is not just used as mere tourist attraction of the local government units and Department of Tourism for economic growth in the hudhud areas. It will also attract more scholars, local and international, to understand and preserve the rich and dying tradition.

The article views the issue of science and education development in Russia, in particular the laws of interaction between the country's level of economic development on the level and quality of education; the problem of brain drain from Russia to Europe and the USA is touched upon. The investigation of the general issues of educational system results in suggesting measures for the educational sphere improvement and innovation policy, as well as for slowing down the young scientists' migration abroad.

The article views the issues of the modern social policy formation at the large industrial enterprise and the main means of their solution. The major tool of social management, according to the author, should be the collective agreement.

The enormous growth in the online retailing has enhanced the significance of logistic processes and warehouse technology. Therefore, this study proposes a strategy for the preparation of an optimal warehouse layout, which allows the minimization of the transport and the minimization of the injury risk. The dataset utilized in this study is based on the product orders of a supplier company. An association rule analysis was used to group the frequently co-occurring products in the dataset. The apriori and FP-growth algorithm were chosen to perform the association rule analysis. A comprehensive analysis of the orders in the period 2015-20 indicates variations in the product grouping over the years. Based on the results of this study, the warehouse layout can be continuously improved depending on the customer orders. [ABSTRACT FROM AUTHOR]

Porous sample were fabricated by sintering of bronze ( Cu Sn10) with different particle size range. The paper investigates the influence of the particle size distribution, temperature and sintering time on the structural characteristics (porosity, pore size, dimensional changes) of the porous parts studied. A porous structure with small-sized pores and a uniform distribution of the pore sizes is obtained in conditions of a narrow range of particle size distribution, small size of the powder particles and optimal sintering parameters.

Integration of Al and ML technologies in the agricultural supply chain (ASC) is revolutionalizing, the domain by bringing in robust monitoring and prediction as well as quick decision-making abilities. A comprehensive literature analysis of the applications of artificial intelligence methods and machine learning algorithms in the agricultural supply chain is demonstrated in this study. In order to solve complicated challenges confronted by various areas of the agricultural supply chain, this literature analysis addresses different significant works that machine learning and artificial intelligence methods are used. Different Al and ML applications were suggested for the following areas of agriculture belonging to different phases: (i) crop yield prediction, prediction of soil properties and irrigation management; (ii) weather prediction, disease detection and weed detection, (iii) demand management and production planning, (iv) transportation, storage, inventory and retailing. In order to remain unbiased and objective, different studies from different journals were analyzed for each phase. It is observed that the majority of these studies focus on crop yield and soil properties prediction. It is also inferred that artificial neural networks, support vector machines, utilization of unmanned aerial vehicles, and remote sensors are fairly popular in the agriculture discipline. [ABSTRACT FROM AUTHOR]