The Relationship between Exchange Rates and Stock Markets for the Fragile Five Countries

This paper aims to determine the significance relation and direction of stock markets and exchange rate on Fragile five Countries (South Africa, Turkey, Indonesia, India, and Brazil) between January 2010 to December 2019. This study applied the VAR Analysis and Granger Causality Test to determine the relationship among exchange rates and stock indexes. The results show that South Africa and Turkey exchange rates and stock indexes are in bidirectional relationships, for India and Brazil, there is a one-way causality finding from exchange rate to stock price, and the results for Indonesia show no causality

Case report: corrected bladder exstrophy - caesarean birth

We present a case of 26 yrs old Primigravida, who was presented at the antenatal clinic of Kenyatta National Hospital at 20 weeks gestation. She was a known case of congenital bladder exstrophy. Patient was diagnosed with bladder exstrophy at birth and underwent a total of 3 bladder surgeries, has had suprapubic catheter for the last 15 years and underwent vaginoplasty and vaginal dilatation for vaginal atresia, and she has conceived naturally

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Multi-fidelity (gray-box) hyperparameter optimization techniques (HPO) have recently emerged as a promising direction for tuning Deep Learning methods. However, existing methods suffer from a sub-optimal allocation of the HPO budget to the hyperparameter configurations. In this work, we introduce DyHPO, a Bayesian Optimization method that learns to decide which hyperparameter configuration to train further in a dynamic race among all feasible configurations. We propose a new deep kernel for Gaussian Processes that embeds the learning curve dynamics, and an acquisition function that incorporates multi-budget information. We demonstrate the significant superiority of DyHPO against state-of-the-art hyperparameter optimization methods through large-scale experiments comprising 50 datasets (Tabular, Image, NLP) and diverse architectures (MLP, CNN/NAS, RNN).Comment: Accepted at NeurIPS 202

Scaling Laws for Hyperparameter Optimization

Hyperparameter optimization is an important subfield of machine learning that focuses on tuning the hyperparameters of a chosen algorithm to achieve peak performance. Recently, there has been a stream of methods that tackle the issue of hyperparameter optimization, however, most of the methods do not exploit the dominant power law nature of learning curves for Bayesian optimization. In this work, we propose Deep Power Laws (DPL), an ensemble of neural network models conditioned to yield predictions that follow a power-law scaling pattern. Our method dynamically decides which configurations to pause and train incrementally by making use of gray-box evaluations. We compare our method against 7 state-of-the-art competitors on 3 benchmarks related to tabular, image, and NLP datasets covering 59 diverse tasks. Our method achieves the best results across all benchmarks by obtaining the best any-time results compared to all competitors.Comment: Accepted at NeurIPS 202

Corrected bladder exstrophy- Caesarean birth

Case Summary: We present a case of 26 yrs old Primigravida, who presented at the antenatal clinic of Kenyatta National Hospital at 20 weeks gestation, she was a known case of congenital bladder exstrophy. Patient was diagnosed with bladder exstrophy at birth and underwent a total of 3 bladder surgeries, has had suprapubic catheter for the last 15 years and underwent vaginoplasty and vaginal dilatation for vaginal atresia, and she has conceived naturally

PERLINDUNGAN HUKUM TERHADAP ISTRI DALAM PEMBAGIAN WARIS PADA PERKAWINAN POLIGAMI (Studi Perkara Nomor 286/PDT.G/2012/PA.PDG dan Nomor 12/PDT.G/2013/PTA.PDG

ABSTRAK Poligami merupakan suatu realita hukum dalam masyarakat yang akhir-akhir ini banyak diperbincangkan, serta menimbulkan pro dan kontra. Apabila terjadi kematian maka pembagian waris dari suami yang berpoligami sangat sulit dan rumit karena banyak ahli waris yang perlu diperhitungkan, apalagi tidak dibuat pemisahan yang tegas tentang harta bersama suami dengan istri terdahulu ketika akan berpoligami, maka para ahli waris merasa berhak atas harta peninggalan dari pewaris. Dalam hal seorang laki-laki yang memiliki istri lebih dari seorang maka akan timbul suatu sengketa mengenai harta bersama tersebut, sehingga diperlukan suatu aturan yang jelas mengenai pembagian harta tersebut. Berdasarkan hal-hal tersebut diatas permasalahan yang diteliti adalah 1.Bagaimana cara pembagian warisan dari Pewaris dalam Pekawinan Poligami 2.Bagaimana perlindungan hukum bagi para istri terhadap pembagian harta warisan dalam perkawinan poligami. Penelitian ini bersifat Normatif dengan sifat penelitian bersifat deskriptif analitis. Pengolahan data dilakukan secara editing dan kemudian dianalisa dengan menggunakan metode analisi kualitatif. Dari hasil penelitian diperoleh kesimpulan bahwa (1) Pembagian harta waris menurut hukum Islam belum ada ketentuan secara pasti berapa bagian dari istri-istri yang dipoligami, namun untuk mendapatkan bagian dari harta warisan itu bisa dilaksakan kalau para pihak yang bersengketa mau berdamai dan membuat suatu kesepakatan dalam bentuk perjanjian. (2) Bagi istri yang ingin mendapatkan perlindungan hukum atas pembagian harta warisan dalam perkawinan poligami harus memiliki bukti secara otentik agar hak-hak istri dapat terpenuhi Kata Kunci : Perkawinan Poligami, Waris Isla

The problem of the Complaisance by Abid Al Gibar AlHamathani

The complaisance's subject is one of the most important subjects which has been discussed by the speech philosophers in their researches and studies, but it was an interesting subject by Abid Al Gibar who is called The Judge of Judges, he allocated a full part in his book (The Singer in chapters of Monotheism and Justice). Talking about this, the Complaisance was not a matter of disagreement between the scholars, but the dispute was about the necessaty or unnecessaty of the Complaisance. At this exact point the Nonconformests specialized in, and one of their follower is the Judge who proved the necessaty of the Divine Complaisance depending on mental and copying evidences. In this research we will discuss the particularistic of the Judge's attitude toward the Complaisance problem. In the introduction we will talk about the difining of the Judge Abid Al Gibar. The research elements include the definition of the Complaisance and its truth, aspects and kinds. The necessaty of the divine complaisance and the reply to the rivals by The Judge and then explaining the meanings which are used in discribing the Complaisance and who deserves this complaisance. The result that we reached through our studies of the Judge Abid Al Gibar's writings is that he proved by his mental and copying evidences the necessaty of the divine complaisance, and he represented an origenal view in that he disproved the rivals' opinions who rejected the necessaty of the divine complaisance

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

With the ever-increasing number of pretrained models, machine learning practitioners are continuously faced with which pretrained model to use, and how to finetune it for a new dataset. In this paper, we propose a methodology that jointly searches for the optimal pretrained model and the hyperparameters for finetuning it. Our method transfers knowledge about the performance of many pretrained models with multiple hyperparameter configurations on a series of datasets. To this aim, we evaluated over 20k hyperparameter configurations for finetuning 24 pretrained image classification models on 87 datasets to generate a large-scale meta-dataset. We meta-learn a multi-fidelity performance predictor on the learning curves of this meta-dataset and use it for fast hyperparameter optimization on new datasets. We empirically demonstrate that our resulting approach can quickly select an accurate pretrained model for a new dataset together with its optimal hyperparameters

Nutritional status and intestinal parasites among young children from pastoralist communities of the Ethiopian Somali region

Pastoralist children in the Ethiopian Somali Regional State (ESRS) are at high risk for undernutrition and intestinal parasitic infections (IPIs). We assessed the nutritional status and its association with IPIs in 500 children <5 years of age in a clustered cross-sectional study in Adadle district, ESRS. Stool samples were microscopically examined for IPIs and biomarkers for iron and vitamin A status, anthropometry, and food variety score (FVS) were assessed. Median (interquartile range [IQR]) FVS was 2.0 (2.0, 4.0), and 35% of children were exclusively breastfed up to age 6 months. Prevalence of stunting, wasting, underweight and mid-upper arm circumference (MUAC) <12.5 cm was 30, 34, 40, and 16%, respectively. Median (IQR) haemoglobin, ferritin, and retinol-binding protein concentrations were 9.5 g dL; -1; (8.2, 10.9), 6.2 μg L; -1; (4.0, 10.2), and 0.8 μmol L; -1; (0.67, 0.91), respectively. Prevalence of anaemia, iron, and vitamin A deficiency was 75, 91, and 30%, respectively. IPIs' prevalence was 47%; the most prevalent IPIs were Giardia lamblia (22%) and Ascaris lumbricoides (15%). Giardial infections but not A. lumbricoides increased the risk for MUAC 2 or with exclusive breastfeeding up to 6 months, respectively. Undernutrition and IPIs are alarmingly high in <5 years of age children in ESRS. Giardial infections and low nutritional adequacy of the diet seem to be major contributing factors to the precarious nutritional status and should be addressed by appropriate interventions