Miracle-dz/UniFAR-FTUs huggingface dataset:
Age at Menarche, Menstrual Characteristics and Associated Factors among Adolescent Girls in Indigenous Population in Niger Delta Region, Nigeria

Aim: Age at menarche varies among different populations, and is dependent on interaction between genetic and environmental factors. The aim of this study was to determine the age at menarche, menstrual characteristics and associated factors among adolescent girls in indigenous population in Niger Delta region, Nigeria. Study Design: A cross-sectional study on 903 adolescent school girls from 6 secondary schools in Rivers state selected by multi-staged random sampling technique. Place and Duration of Study: Indigenous ethnic populations in urban and rural (coastal rural and upland rural) areas in Rivers state were surveyed between April and June 2019. Methodology: Data collected with questionnaire: menarcheal age, menstrual and demographic characteristics of participants. Results: Age at menarche was12.10±1.37years, while urban area had11.62±0.13, coastal rural Original Research Article Adienbo and Erigbali; JAMMR, 33(10): 24-32, 2021; Article no.JAMMR. 68069 25 (11.69±0.04) and upland rural (13.24±0.10) years;with early menarche (10%) and delayed menarche (5%). Geographical area, ethnicity and fathers’ occupation significantly (P=0.001) influenced menarcheal age; with Ethnic groups: Ekpeye (12.96±1.36) > Ogoni (12.89±0.71) > Ikwerre (12.43±1.72) > Kalabari (11.69±0.99); Fathers’ occupation: Professionals/public servants (11.82±1.14) and fishing (11.75±0.94) < artisans/traders (12.02±1.36) and farming (12.69±1.45). Menstrual cycle length (days), was 28.04±1.57 (21-35), with majority (91.50%) having 26-30 days; and significantly different among geographical area (P=0.003), and ethnicity (P=0.001). Menstrual bleeding duration (days) was 4.55±1.03 (2-7), with majority (72.1%) having 4-5 days;and is statistically different according to geographical areas (P=0.001), ethnicity (P=0.001), and fathers’ occupation (P=0.14). Dysmenorrhoea was experienced by majority (56.6%) of subjects, and associated with increase in menarcheal age (P=0.01) and menstrual cycle length (P=0.001). Conclusion: This study shows a low age at menarche, with earlier onset in urban and coastal rural areas than in upland rural areas. Ethnicity and geographical area, strongly influenced the menarcheal age and menstrual characteristics of subjects.
Effects of Different Fish Diets on the Water Quality in Semi-Intensive Common Carp (Cyprinus carpio) Farming

Semi-intensive common carp (Cyprinus carpio) farm technology uses several feed types affecting the growth performance; however, we know less about their long-term effects on water quality. Herein, we evaluated the effects of three commonly used feeds—moderate levels of fish meal and fish oil feed (FF), plant meal and plant oil feed (PF), and cereal feed (CF) on the nutrient (total nitrogen (TN), total phosphorus (TP) and organic matter (OM)) content of the pond water. The experiment was carried out over three consecutive years from juveniles to market-sized fish. The type of feed affected the net yields, but generally, it did not affect the water quality. The year of sampling, however, was a significant factor affecting TN, TP, and OM, whose concentrations decreased during the three years. Our findings highlight that the age of the stocked fish on water quality has a more pronounced effect than the nutrient profile of the supplementary feed. Additionally, the plant-based feed could provide comparable net yields as the fish meal-based feed without additional nutrient loading in the water column, reinforcing the sustainability of alternative feeds in semi-intensive carp farming.
The development of regional smart energy systems in the World and China: The concepts, practices, and a new perspective

To realize a low‐carbon and sustainable energy transition, smart energy systems (SES) assisted by data and information technology are regarded as promising solutions for energy system integration (ESI) and have been put into regional practices. However, there is still lacking attention on the development of multiregional smart energy systems (MRSES), which include three or more areas. This article aims to analyze concepts and practices of SES and enlighten a new perspective of MRSES. The conceptual evolution and regional practices of SES in the world were first reviewed, and it was found out that SES does not means the end of the conceptual evolution of ESI. Current regional practices are still limited in small areas, being typically remote areas, urban areas, and industrial areas. Secondly, the review of concepts and practices of SES in China indicate that the understanding of SES concepts are still confusing in national scale, and the apparent regional disparity in China is calling attention on the development of MRSES. Finally, a preliminary concept of MRSES was proposed and its perspective in China and the world, which is composed by four connected sub‐SES and named as a coordinated development of “smart energy farms + smart energy towns + smart energy industrial parks + smart energy transportation networks” was discussed. The former three sub‐SES are identified according to various economic characteristics and resources endowment in different regions, and they are all connected by the forth sub‐SES. Although this concept is still preliminary, it provides an imagination of future large‐scale SES, and the realization of this concept needs further breakthrough of data technology.
Assimilation Impact of Early FORMOSAT-7/COSMIC-2 GNSS Radio Occultation Data with Taiwan’s CWB Global Forecast System

The FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) Radio Occultation (RO) satellite constellation was launched on June 2019 as a successor of the FORMOSAT-3/COSMIC mission. The Central Weather Bureau (CWB) of Taiwan has received FORMOSAT-7/COSMIC-2 GNSS RO data in real time from Taiwan Analysis Center for COSMIC. With the global numerical prediction system at CWB, a parallel semi-operational experiment assimilating the FORMOSAT-7/COSMIC-2 bending angle data with all other operational observation data has been conducted to evaluate the impact of the FORMOSAT-7/COSMIC-2 data. The first seven-month results show that the quality of the early FORMOSAT-7/COSMIC-2 data has been satisfactory for assimilation. Consistent and significant positive impacts on global forecast skills have been observed since the start of the parallel experiment, with the most significant impact found in the tropical region, reflecting the low-inclination orbital design of the satellites. The impact of the FORMOSAT-7/COSMIC-2 RO data is also estimated using the Ensemble Forecast Sensitivity to Observation Impact (EFSOI) method, showing an average positive impact per observation similar to other existing GNSS RO datasets, while the total impact is impressive by virtue of its large amount. Sensitivity experiments suggest that the quality control processes built in the Gridpoint Statistical Interpolation (GSI) system for RO data work well to achieve a positive impact by the low-level FORMOSAT-7/COSMIC-2 RO data, while more effort on observation error tuning should be focused to obtain an optimal assimilation performance. This study demonstrates the usefulness of the FORMOSAT-7/COSMIC-2 RO data in global numerical weather prediction during the calibration/validation period and leads to the operational use of the data at CWB.
RLPS: A Reinforcement Learning–Based Framework for Personalized Search

Personalized search is a promising way to improve search qualities by taking user interests into consideration. Recently, machine learning and deep learning techniques have been successfully applied to search result personalization. Most existing models simply regard the personal search history as a static set of user behaviors and learn fixed ranking strategies based on all the recorded data. Though improvements have been achieved, the essence that the search process is a sequence of interactions between the search engine and user is ignored. The user’s interests may dynamically change during the search process, therefore, it would be more helpful if a personalized search model could track the whole interaction process and adjust its ranking strategy continuously. In this article, we adapt reinforcement learning to personalized search and propose a framework, referred to as RLPS. It utilizes a Markov Decision Process (MDP) to track sequential interactions between the user and search engine, and continuously update the underlying personalized ranking model with the user’s real-time feedback to learn the user’s dynamic interests. Within this framework, we implement two models: the listwise RLPS-L and the hierarchical RLPS-H. RLPS-L interacts with users and trains the ranking model with document lists, while RLPS-H improves model training by designing a layered structure and introducing document pairs. In addition, we also design a feedback-aware personalized ranking component to capture the user’s feedback, which impacts the user interest profile for the next query. Significant improvements over existing personalized search models are observed in the experiments on the public AOL search log and a commercial log.
A calibrated and consistent combination of probabilistic forecasts for the exceedance of several precipitation thresholds using neural networks

The seamless combination of nowcasting and numerical weather prediction (NWP) aims to provide a functional basis for very-short-term forecasts, that are essential e.g. for weather warnings. In this paper we propose a statistical method for precipitation using neural networks (NN) that combines nowcasting data from DWD’s radar based RadVOR system with post-processed forecasts of the high resolving NWP ensemble COSMO-DE-EPS. The postprocessing is performed by Ensemble-MOS of DWD. Whereas the quality of the nowcasting projections of RadVOR is excellent at the beginning, it declines rapidly after about 2 hours. The post-processed forecasts of COSMO-DE-EPS in contrast start with lower accuracy but provide meaningful information on longer forecast ranges. The combination of the two systems is performed for probabilities that the expected precipitation amounts exceed a series of predefined thresholds. The resulting probabilistic forecasts are calibrated and outperform both input systems in terms of accuracy for forecast ranges from 1 to 6 hours as shown by verification.The proposed NN-model generalises a previous statistical model based on extended logistic regression, which was restricted to only one threshold of 0.1 mm. The various layers of the NN-model are related to the conventional design elements (e.g. triangular functions and interaction terms) of the previous model for easier insight.
Morphological and Yield Attribute of Blackgram Genotypes under Different Salinity Stress Conditions

Background: Blackgram is one of the important grain legumes in India. Pulses are the important source of protein for the vegetarian people. To meet out the current demand of pulses, there is a crucial need to increase the blackgram production. Mostly this crop is cultivated in marginal lands where the abiotic stresses like drought and salinity are predominant. The area under salinity in India is 6.73 million hectares and in blackgram no variety was identified as suitable for saline areas.Methods: This experiment was carried out to study the salinity tolerance levels of balckgram genotypes at vegetative and reproductive stages during Rabi season of 2018-20. A total of six blackgram genotypes were used to screen its performance under saline environment at vegetative and reproductive stage. All the genotypes were raised in pot with the size of 20 cm height and 15 cm width with four replications and salinity were stimulated artificially viz., 4.0 EC, 11.0 EC and 16.0 EC ds/m, its growth habits were observed.Conclusion: Salinity impact adversely affects blackgram genotypes under study. The number of days to survival of the plant and plant height were decreased by increasing salinity level and number of irrigation with saline water and it was reduced to ½ at 16 EC ds/m as compared to control. Days to 50% flowering, chlorophyll content and single plant yield were severally affected by increasing salt concentration. Increasing salt concentration was found directly proportionate to increasing number of days taken for flower initiation and at high level of salinity (16.0 EC ds/m) the plants dried before flowering. The plant yield was much affected by slight increase in salt concentration. At 4.0 EC ds/m level the yield was reduced to ¼ as compared to control. The 100 grain weight was not much affected by increasing salt concentration; Chlorophyll content also reduced 2/3 by increasing salt concentration after 15 DAS. The genotypes VBG-14-016 performed better under 4.0 EC ds/m level and survived for more number of days followed by the variety VBN 8.
An algorithm for random generation of admissible horizontal alignments for optimum layout design

This work deals with the design of horizontal alignments (HAs) for its application in intelligent civil systems. Two consecutive tasks are performed: the random generation of admissible horizontal alignments (AHAs; alignments verifying some geometric constraints set in advance) and the optimal design of layouts joining two given points. A rigorous mathematical analysis of the first task leads to a novel algorithm for random generation of alignments, which is used to develop the global optimization method proposed for the second task. The usefulness of this approach is shown on some practical applications. First, two problems with applications in robotics, pipe layout design, and forest road design are solved in realistic situations. Next, the random generation of AHAs in mountainous terrain is addressed. Finally, the model is extended to 3D alignments and a real case study is presented, designing a bypass on the N‐640 Spanish national road, surrounding the urban area of Monterroso.
Preparing for the Worst or Hoping for the Best? The State of Fall Training in Prosthesis Users

ABSTRACT Introduction The risk of accidental falls is greater in people with lower-limb loss than in their able-bodied peers. Most popular strategies to mitigate injuries from such falls include technical solutions that prevent falls or protect vulnerable body segments from destructive forces. Fall training is another effective intervention, but little evidence on its use in prosthesis users has been published. This research had the goal to investigate to what extent fall training is provided to the target population and what factors may be obstacles to its wider adoption. Methods An online questionnaire was developed and administered nationwide, targeting people with lower-limb loss. Descriptive statistics were used to describe the availability of fall training, and a logistic regression was performed to investigate variables that predict whether an individual receives fall training or not. Results A total of 180 responses was recorded, 166 of which were included in the analysis. More than two-thirds of respondents had not received fall training. Those who had physical therapy as part of their rehabilitation regimen were 3.7 times more likely to also have had fall training. Discussion Our data suggest that the potential benefits of providing fall training to people with lower-limb loss are not being fully realized. Interdisciplinary collaboration between prosthetists and therapists can help expand access to fall training interventions to better prepare patients for the likely event of an accidental fall.
Three-Dimensional Finite Element Analysis of the Veneer—Framework Thickness in an All-Ceramic Implant Supported Fixed Partial Denture

This study was performed as an adjunct to an existing clinical study to validate the effect of veneer: framework thickness ratio on stress distribution in an implant-supported all-ceramic fixed partial denture. Two commercially available titanium dental implants with corresponding customized abutments and a patient-retrieved all-ceramic fixed partial denture were scanned using a high-resolution micro-CT scanner. Reconstructed 3D objects, along with a simulated bone surface, were incorporated into a non-manifold assembly and meshed simultaneously using Simpleware software (Synopsys Simpleware ScanIP Version P-2019.09; Mountain View, CA). Three such volume meshes (Model A, Model B, Model C) corresponding to veneer: framework thickness ratios of 3:1, 1:1, and 1:3 respectively were created, and exported to a finite element analysis software (ABAQUS). An axial load of 110 N was applied uniformly on the occlusal surfaces to calculate the static stresses and contour plots were generated in the post-processing module. From the data obtained, we observed optimum stress distribution in Model B. Also, the tensile stresses were concentrated in the posterior connector region of the prosthesis in all three models tested. Within the limitations of this study, we can conclude that equal thickness of veneer and framework layers would aid in better stress distribution.
Baseline Assessment of Children’s Meals and Healthy Beverage Options Prior to a State-Level Healthy Default Beverage (HDB) Law

In January 2020, Hawai‘i became the second state with a healthy default beverage (HDB) law, requiring restaurants to offer HDBs with their children’s meals. This observational study presents baseline characteristics of restaurants with a children’s menu and meal. The study describes pre-law beverage options to inform future HDB policy language, implementation, and evaluation. Between November and December 2019, data were collected from a statewide sample of unique restaurants (N = 383) with health inspection permits. Restaurants were assessed separately for a children’s menu and meal using website reviews, telephone calls, and in-person visits. Meals were evaluated for pre-law beverage type and compliance. Logistic regression was used to estimate the likelihood of having a children’s menu and meal. Most of the restaurants were full-service (70.2%) and non-chains (67.9%). While 49.3% of restaurants had a children’s menu, only 16.7% had a children’s meal. Significant predictors of having a children’s menu were being full-service, national/international or local chains, neighbor island (non-Honolulu) locations, and hotel locations. Only being a national/international chain significantly predicted having a children’s meal. Although 35.9% of children’s meals offered a non–sugar-sweetened beverage (SSB) option, only 3.1% offered law-compliant beverages. Inclusion of an SSB default option (60.9%) and not specifying the type of default beverage were the predominant factors for pre-law non-compliance. Results support the need for HDB regulations, especially for national/international chains, which were most likely to have children’s meals, and provide data to inform policies in other jurisdictions.
Detection of Bacteriological Contaminants in Hand-Pump Fitted Borehole Water from a Residential Suburb in Ringim Local Government, Jigawa State

Water from borehole source can be contaminated due to indiscriminate waste disposal. This pilot study was conducted to assess the bacteriological quality of water from five (5) hand-pump-fitted borehole sources present in Sabon Gari quarters in Ringim Local Government Area of Jigawa State. Presumptive, confirmed and completed tests were employed to determine total and faecal coliforms from the water samples using most probable number (MPN) technique. Bacterial isolates were identified by standard microbiological methods. Results obtained indicate that all the water samples across all the dilution strengths tested recorded substantial growth of total coliforms at 37.3°C while faecal coliforms were observed at 44°C after incubation for 48 h. Using the MPN table, the five water samples assayed recorded 50 MPN/100mL, 14 MPN/100mL, 3 MPN/100mL, 5 MPN/100mL and 1 MPN/100mL. Results were also positive for gas and acid production in all samples collected characteristic of presence of E. coli. The results obtained in this study show bacterial contamination of the water from the boreholes which may constitute a public health risk. It is therefore recommended that the water pumped from these boreholes should be subjected to adequate treatment to meet World Health Organization (WHO) required standard for potable water meant for drinking.
Prospective collaborative sensemaking for identifying the potential impact of emerging technologies

Funding information COMET-K2 Center of the Linz Center of Mechatronics (LCM) Emerging technologies provide new opportunities for organizations but also introduce uncertainty and ambiguity about future developments. One specific risk that firms encounter in the prospective sensemaking process is the failure to adequately judge their potential impact on the organization, if they rely heavily on existing beliefs about the future or the industry. This study explores how opening up the strategy process (through a collaboration of companies from various industries) influences the way actors interpret and make sense of ambiguous and uncertain environments caused by blockchain technology. We recognized that this cross-industry, prospective sensemaking approach played a noticeable role in the way actors interpreted and reflected on technological change. The diversity of perspectives was framed by the participants as conducive to out-of-the-box thinking and to develop new frames and mental models. In various social and discursive processes, new meanings and application possibilities for the own company were developed. Due to the cross-industry approach (without competitors), an open learning climate could evolve, intracompany power struggles were prevented and there was no need to develop a ‘common sense’, which facilitated adopting a wide variety of perspectives and thinking in scenarios. Moreover, it was found that skilful facilitators played an important role in initiating and accompanying the sensemaking process.
Influence of age on selected parameters of insolvent companies

It is natural for the market economy that companies are forced to leave the market when they are not able to survive anymore. This paper is focused on the age structure of the companies in default. The age is considered a period between corporate establishment and insolvency declaration. The paper analyzes whether companies, which report financial accounting statements, have different age structure than non-reporting entities. Data sample consists of 212 companies (147 reporting and 65 non-reporting entities). Moreover, the analysis points out if corporate financial standing differ according to the age structure observed. Using descriptive statistics tools, the observed relationship between the company age and the frequency of insolvency cases is expressed. The evaluation of the financial standing is based on a ratio analysis. Indicators such as return on assets, return on sales, debt ratio, cash and non-cash liquidity, and asset turnover are applied. The results show there are not significant differences in the age structure between the reporting and non-reporting enterprises. Values of financial indicators seem to be independent on the age structure. The paper provides explanations and brings a classification of specific differences observed such as a distinction between reasons due to sector specificities and partly due to the specifics of the current business environment in the Czech Republic (monitored period 2014 – first quarter 2019). AcknowledgmentsThe authors are thankful to the Grant Agency of Academic Alliance (renamed the Grant Agency Academia Aurea) No. GAAA 10/2018 “Financial characteristics of enterprise in bankruptcy” for financial support to carry out this research.