Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterisation of indigenous helmeted guinea fowls in Nigeria for meat and egg production

SUMMARY There is increasing interest in sustainable poultry production in developing economies. This review provides an insight into guinea fowl production in Nigeria as a means of additional high-quality poultry meat and egg production. Under the smallholder scavenging system, flock size of the four investigated plumages (Pearl, Lavender, Black and White) of indigenous helmeted guinea fowl in Nigeria typically ranges from 6 to 9 birds per household, 14-week mean live weight from 917 to 975 g, dressed weight at this age from 700 to 737 g and dressing percentage from 74 to 76%. Under the backyard system of production, mean egg number is typically about 80 eggs per hen/annum while under intensive management it can be up to 147 eggs per hen/annum and egg weight from 29 to 38 g. Under smallholder conditions, hatchability of fertile eggs can range from 70 to 86% while under improved housing and rearing conditions it can be as high as 89%. The present information could be exploited in formulating appropriate management strategies and breeding decisions for sustainable production of hybrid improved guinea fowls, thereby contributing to food security in Nigeria.
SpiderNet: Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for 6G

Legacy base station (BS) centric cellular architecture is marked by tight interlock between spectral efficiency (SE) and energy efficiency (EE). That means, unless new degrees of freedom and intelligent dynamic adaptability is added, any significant gain in SE must come at the cost of EE. Even the most predominant approaches for capacity enhancement such as network densification yield gains in SE at the cost of increased energy consumption. Moreover, in future mobile networks, the key challenge is not only the rampantly growing volume of traffic, but also the spatiotemporal variability of the traffic. These observations call for a paradigm shift in the way cellular networks are designed and operated. Therefore, in this work, we propose a new cellular architecture called SpiderNet: Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for 6G Wireless Networks. The key idea behind SpiderNet is to introduce additional degrees of freedom to relax the tight coupling between the SE and EE and database-aided intelligence to enable dynamic adaptive operation for simultaneous enhancement of both SE and EE. This goal is achieved by shifting the pivot of operation from the rigid always ON BS centric cells to user centric (UC) on demand cells. The SpiderNet architecture consists of a layer of low-density large footprint and database aided control BS underlayed by high-density switchable data BS. This database enables artificial intelligence (AI) powered proactive dynamic orchestration of UC cells to maximize not only SE and EE, but quality of experience (QoE) as well. We also identify the challenges that arise in the practical realization of SpiderNet and propose solutions. Finally, we present a case study that compares SpiderNet performance with legacy HetNets. The results show that compared to current BS centric cellular architecture, SpiderNet can substantially enhance both SE and EE without compromising QoE.
Hope and Self-Compassion to Alleviate Parenting Stress in the Context of the COVID-19 Pandemic

As the coronavirus disease of 2019 (COVID-19) pandemic disrupted all aspects of life, parents have been subjected to more household and caregiving responsibilities and stressors. The purpose of this study is to investigate how hope, self-compassion, and perception of COVID-19 health risks influence parenting stress. In this cross-sectional study, a total of 362 parents living in the United States completed an online survey in July 2020. Multiple regression analyses revealed that higher levels of hope are related to lower levels of parenting stress. On the other hand, lower levels of self-compassion as indicated by higher scores on the subscales of isolation, self-judgment, and overidentification are related to higher levels of parenting stress. Further, testing positive for the coronavirus is positively related to parenting stress, whereas the belief that COVID-19 is a serious disease is negatively related to parenting stress. Findings also revealed the significant role of hope in moderating the relation between self-compassion and parenting stress. This study highlights the importance of nurturing and drawing from one’s own psychological resources to mitigate parenting stress, particularly in the context of a chronic source of stress like a pandemic. Implications for the counseling profession are discussed.
Relations between Dietary Habits, Lifestyle and Leading Obesity

Obesity, hypertension, depression currently in the rise are some of the many problems faced by a common person due to poor dietary and sleeping habits along with some genetic disorders. An extensive study has been done over two years with 205 subjects regarding their eating & sleeping habits and their mental & physical state on a day-to-day basis. The subjects include both males and females ranging from 15 years of age to 70 above. Altogether 12.68% of people suffer from obesity while just 51.21% of them have an appropriate weight. Women below the age of 25 have shown an overpowering presence of PCOS affecting their health and 38.53% of the population showcasing suffering from hypertension and 14.14% suffering from depression. Sleep has yet proven to be a defining factor in wellbeing. 17.07% of the population exhibit signs of sleep deprivation while just 63.9% of the population sleep over 7 hours daily. Like many other countries, in India, the shift from traditional healthy food to fast food & processed food is taking place, resulting in various health problems like obesity, heart problems, arthritis, weakness, diabetes, high blood pressure, difficulty in breathing, stroke & so on. The aim of this meta-analysis was to quantify the effects of nutrition, mental health and exercise on the various aspects of a person’s well-being.
Cooperation between family practitioners and ginecologyst in PAP smears with ASCUS positive cases

The evolution of women with ASCUS PAP smear must be done in an orderly fashion. The family doctor must communicate with the gynecologist following standardized procedures so that the lesions can be discovered as early as possible. For women with ASCUS PAP smear it is recommended to take another cytological examination in 6 months and also test themselves for HPV. After said investigations, if need be, a colposcopy is also recommended. Women witch are HPV negative repeat the PAP smear yearly. Patients presenting ASCUS PAP smear and are HPV positive will be investigated as if they had LGSIL PAP smear. In this case a colposcopy will be done. If the cytology exam result is a CIN 1 type, the exam will be repeated early along with the HPV exam. If it’s a CIN 2 or CIN 3 type, the patient will be investigated every 4 or 6 months for a period of 2 years. The HPV test will be made at least once a year. Women with 3 negative result are tested once every 3 years.
Aclaramiento de lactato como predictor de mortalidad en pacientes con choque

La sepsis es una de las principales causas de muerte en las unidades de cuidados intensivos pediátricos. El tratamiento en los pacientes con diagnóstico de choque séptico es dirigido a alcanzar metas tempranas en los estadíos primarios de la presentación de la enfermedad. Se realizó revisión y lectura de material científico. El aclaramiento de lactato a las 24 horas después de iniciada la terapia de reanimación demuestra ser el mejor predictor de mortalidad a corto plazo en los pacientes que presentan choque séptico. La hiperlactatemia diagnosticada al ingreso a las unidades de terapia intensiva también se relaciona con mayor frecuencia de lesión renal aguda, mayor tiempo de ventilación mecánica, necesidad de dosis más altas de aminas vasoactivas y aumento de la estancia hospitalaria. Las concentraciones de lactato venoso se consideran un biomarcador de mayor utilidad que los valores de lactato arterial para predecir mortalidad en estos pacientes. Se concluye que los niveles de lactato superiores a tres milimoles/litro y un aclaramiento de lactato menor al 10% posterior a la terapia de reanimación inicial se encuentra asociado con un aumento de la mortalidad.
Monitoring Acoustic Data Streams Using Possibilistic Aggregation and Multi-label Learning

This paper introduces a novel procedure for statistical monitoring of acoustic data streams supported by possibilistic aggregation and multi-label learning. The primary goal is to learn improved control limits for the residual control charts due to the objective removal of measurements from the non-healthy state of a patient determined through multi-label learning. The proposed procedure is illustrated with real-life acoustic data collected from smartphones of Bipolar Disorder patient. Multi-label classiﬁcation enabled to distinguish between different degrees of severity of manic and depressive symptoms, and especially for the mixed state - their simultaneous occurrence.
Physiotherapy exercise rehabilitation with tailored exercise adherence support for people with osteoporosis and vertebral fractures: protocol for a randomised controlled trial – the OsteoPorosis Tailored exercise adherence INtervention (OPTIN) study

Introduction Vertebral fragility fractures affect at least 20% of the older population in the UK. Best practice guidelines recommend the use of exercise to slow the rate of bone loss, to maintain muscle strength and physical function, and to prevent falls and further fractures. However, treatment effects are often small and difficult to sustain and adherence, or the extent to which patients engage in treatment, has been identified as an important issue by many studies. Our hypothesis is that integrating adherence intervention strategies with an exercise intervention will be beneficial. We will compare physiotherapy exercise rehabilitation with adherence support versus physiotherapy exercise rehabilitation alone in terms of effects on (A) physical function, quality of life and fear of falling and (B) exercise self-efficacy and adherence. Methods and analysis A multicentre, two-arm, parallel group, superiority randomised controlled trial with blinded assessments at baseline (0) and 4, 8 and 12 months, with a nested qualitative study and health economic analysis. 116 participants will be allocated to either (1) outpatient physiotherapy which will include a musculoskeletal assessment and treatment including balance, posture, strength training and low impact weight-bearing exercises over 16 weeks or (2) OsteoPorosis Tailored exercise adherence INtervention intervention. This includes standard physiotherapy as above plus an additional, integrated assessment interview (30 min) and 60 min of adherence support spread over the subsequent 16 weeks. Ethics and dissemination The study protocol was approved by West of Scotland Research Ethics Committee 4 (21/WS/0071). Trial registration number ISRCTN 14465704. The paper is based on Protocol V.4. Trial registration number ISRCTN 14465704.
Acquired Immune Deficiency Syndrome in Children

Although pediatric cases comprise only 1 % of nationally reported cases of acquired immune deficiency syndrome (AIDS), in certain parts of the country pediatric AIDS already is an enormous problem. The first cases of congenital AIDS in the United States were reported in 1983,'*' two years after the disease was recognized in adults, and six years after retrospective evidence of infection with human immune deficiency virus (HIV) in ~hildhood. ~ This delay reflected the natural history of how pediatric AIDS is contracted and the added difficulty of distinguishing this condition from congenital immune deficiencies. Although much has been learned about the etiologic agent and the disease process itself, large gaps exist in our understanding of many important features of the pathogenesis and prognosis of pediatric HIV infection. Given the current prediction of a major increase in the number of children who will be infected, there is great urgency toward acquiring this information as rapidly as possible.
Modern Privacy-Preserving Record Linkage Techniques: An Overview

Record linkage is the challenging task of deciding which records, coming from disparate data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area of record linkage has received tremendous attention over the years due to its numerous real-world applications, and has led to a plethora of technologies, methods, metrics, and systems. A major direction in record linkage regards methods for linking records in a privacy-preserving manner, where sensitive and personally identifiable information in the records is not leaked as part of the linkage process. In this article, we provide an overview of the large body of research literature in privacy-preserving record linkage, discuss the different generations of techniques that have been proposed, their advantages and limitations, and present a taxonomy as well as an extensive survey on the latest generation of methods. We conclude this work with a roadmap to the new generation of analytics-driven techniques that aims to address some of the major challenges in the field.
External profit pressure and operating efficiency: evidence from Chinese listed companies

ABSTRACT Compared with western developed countries, the maturity and effectiveness of China’s securities market are relatively low, and investors are more likely to be swayed by analysts’ opinions. Efficiency is an important indicator to measure the competitiveness of listed companies, analysts’ earnings pressure can not only make management inclined to short-term investment behaviour, but also affect stakeholders’ views on the company, which is not conducive to the company’s efficiency and long-term development. Therefore, this study examines the impact of external profit pressure on the operating efficiency of Chinese listed companies and its internal mechanism. The technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) of the samples of listed companies are calculated by data envelopment method (DEA), it is found that external profit pressure has a negative impact on TE and PTE but a positive impact on SE. The institutional investor plays an intermediary role between external profit pressure and operating efficiency, and corporate social responsibility regulates the relationship between external profit pressure and institutional investors’ shareholding. The conclusion of the research has important theoretical value and practical significance in clarifying the relationship between external profit pressure and the operating efficiency.
A Millimeter-Wave Wideband Dual-Polarized Antenna Array With 3-D-Printed Air-Filled Differential Feeding Cavities

A millimeter-wave high-gain dual-polarized antenna array with an enhanced bandwidth is presented. An innovative air-filled differential feeding cavity loaded with a short-ended cross-shaped waveguide is investigated to serve as the feed network and the mode splitter simultaneously of the $2\,\,\times2$ dual-polarized subarrays. Wideband characteristics and a compact planar size that are desirable for the wideband array design are achieved. Moreover, a wideband dual-polarized waveguide-fed magnetoelectric (ME) dipole antenna with a lightweight self-support geometry and wideband H-plane parallel feed networks with modified dual-layered configurations are proposed, which are convenient to connect with the differential feeding cavity directly. With the use of a commercial metallic 3-D printing facility, the proposed radiating elements, feeding cavities, and feed networks can be combined successfully in a whole piece with a lightweight geometry. The printed $8 \times 8$ array prototype operating in the Ka-band confirms a wide bandwidth of about 30%, a gain of up to 28.5 dBi, and stable unidirectional radiation patterns for the two polarizations. Benefitted from the advantages of the promising wideband dual-polarized radiations and convenience of fabrication, the proposed antenna array would be attractive for millimeter-wave polarization diversity applications.
Li-Ion Battery and Supercapacitor Modeling for Electric Vehicles Based on Pulse – Pseudo Random Binary Sequence

Energy storage devices such as batteries and supercapacitors are arousing a growing interest in many areas of industrial applications since they allow improving the dynamic response and efficiency. In this sense, the availability of electric models of batteries and supercapacitors is necessary for the correct sizing, control, and energy management of power systems. In order to identify the parameters of the equivalent electric model, the identification current profile is often a pulse of charge or discharge. Subsequently, these models are validated with a current verification profile. However, the verification profile compared to the identification profile is more dynamic in amplitude and frequency, producing validation errors due to the identification signal's limited bandwidth. This paper proposes a novel Pulse – Pseudo Random Binary Sequence (Pulse – PRBS) identification current profile, with similar spectral characteristics to the verification profile, in order to improve the modeling accuracy. The parameters of a Lithium-ion battery and a supercapacitor are obtained with this new identification current profile and the Optimization Toolbox of Matlab, using the electrical models in Simulink or Simscape. Finally, the models are validated with the Urban Driving Cycle ECE-15 and the Hybrid Pulse Power Characterization (HPPC) for electric vehicle applications.
Fog-Cloud Computing Traffic Model Affecting the Occurrence of Latency on the Ubiquitous Sensor Network

The fog-cloud computing traffic model overviews working elements in forming fog-cloud computing with three main layers: Ubiquitous Sensor Networks, Fog Computing, and Cloud Computing. We present a possible method of data transmission that focuses on either measuring or manipulating or both in the system divided into 7 USNs and using latency measurement to demonstrate transmission efficiency. This paper considers the latency test into four prominent cases: internet connection, traffic model, number of devices, and packet by equipment used for testing consisting of microcontroller board, sensor, actuator, and uses fog node two types: pocket Wi-Fi and router. In the latency test, we found that the factor causing the higher latency in the system was the packet size. The main factor consists of the different characteristics of working, fog nodes, and the number of connected devices. Therefore, the packet has correlated directly with the latency depending on the size of the packet increases. The resulting latency is the main factor affecting the work of the system.
OATCR: Outdoor Autonomous Trash-Collecting Robot Design Using YOLOv4-Tiny

This paper proposed an innovative mechanical design using the Rocker-bogie mechanism for resilient Trash-Collecting Robots. Mask-RCNN, YOLOV4, and YOLOv4-tiny were experimented on and analyzed for trash detection. The Trash-Collecting Robot was developed to be completely autonomous as it was able to detect trash, move towards it, and pick it up while avoiding any obstacles along the way. Sensors including a camera, ultrasonic sensor, and GPS module played an imperative role in automation. The brain of the Robot, namely, Raspberry Pi and Arduino, processed the data from the sensors and performed path-planning and consequent motion of the robot through actuation of motors. Three models for object detection were tested for potential use in the robot: Mask-RCNN, YOLOv4, and YOLOv4-tiny. Mask-RCNN achieved an average precision (mAP) of over 83% and detection time (DT) of 3973.29 ms, YOLOv4 achieved 97.1% (mAP) and 32.76 DT, and YOLOv4-tiny achieved 95.2% and 5.21 ms DT. The YOLOv4-tiny was selected as it offered a very similar mAP to YOLOv4, but with a much lower DT. The design was simulated on different terrains and behaved as expected.
Just transition transaction in South Africa: an innovative way to finance accelerated phase out of coal and fund social justice

ABSTRACT A just transition transaction (JTT) in South Africa aims to address complex challenges of financing a transition away from coal, and social justice. Accelerated decarbonisation of electricity is essential for mitigation globally and in SA. However, the national utility Eskom, a state-owned enterprise, is in crisis with major operational, structural and financial problems, including legacy debt of €25bn. How and to what extent can a just transition transaction catalyse deep, structural change that is required in SA’s electricity system and promote social justice? What can we learn from the case study of a JTT about transition finance? The architecture of the JTT includes a blended finance vehicle, combining international concessionary and domestic commercial finance. Finance enables transition if it respects certain principles, promotes ambitious decarbonisation and assures compliance. A tough problem is whether such finance is provided at activity – or entity-level. We explore options for watertight remedies to ensure compliance with ambitious climate change action, though these merit further research. The innovation proposed to fund social justice is that concessional value provides significant and predictable flow of funds into a Just Transition Fund. The JTT partially addresses Eskom’s financial challenges, and thereby the strain on the country’s fiscus against a background of increasing public debt. Significant mitigation on the scale of 1–1.5 Gt CO2-eq over thirty years is achievable. The transaction may be of wider interest: Emerging economies with high coal dependence and socio-economic risk during energy transition might translate lessons from South Africa’s JTT for their own contexts.
Learning from your mistakes: a novel method to predict the response to directional selection

Predicting how populations respond to selection is a key goal of evolutionary biology. The field of quantitative genetics provides predictions for the response to directional selection through the breeder’s equation. However, differences between the observed responses to selection and those predicted by the breeder’s equation occur. The sources of these errors include omission of traits under selection, inaccurate estimates of genetic variance, and nonlinearities in the relationship between genetic and phenotypic variation. A key insight from previous research is that the expected value of these prediction errors is often not zero, in which case the predictions are systematically biased. Here, we propose that this prediction bias, rather than being a nuisance, can be used to improve the predictions. We use this to develop a novel method to predict the response to selection, which is built on three key innovations. First, the method predicts change as the breeder’s equation plus a bias term. Second, the method combines information from the breeder’s equation and from the record of past changes in the mean, to estimate the bias and predict change using a Kalman filter. Third, the parameters of the filter are fitted in each generation using a machine-learning algorithm on the record of past changes. We apply the method to data of an artificial selection experiment of the wing of the fruit fly, as well as to an in silico evolution experiment for teeth. We find that the method outperforms the breeder’s equation, and notably provides good predictions even when traits under selection are omitted from the analysis and when additive genetic variance is estimated inaccurately. The proposed method is easy to apply since it only requires recording the mean of the traits over past generations.