Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal Variations of Body Condition Score and its Effect on Reproductive Performance of Dairy Cattle

Objectives of the study were to investigate and assess body condition score (BCS) of dairy cattle seasonally to find out its efficiency as management tool, throughout manage health and nutrition, improve reproductive performance, fertility and productivity of dairy cattle. A total of 30 Holstein Cows (multiparous and nulliparous) in the experimental farm of Hiroshima University were included in the experiment. A five-point scale body condition scoring system was used to assess BCS of individual cows monthly. Visual observation, special calendar for dairy cattle management, heating detection patches, automatic heating detection system and hormone treatment were used for heating detection of dairy cattle. Artificial insemination (AI) was done by experienced and skillful technicians following to successful heating detection. Body Condition of every cow that received AI was evaluated and recorded on the day of breeding separately. Rectal palpation and ultrasound system were used to determine and diagnose the condition of success or failure of AI. Dairy cattle with mean of 3.00±0.13 BCS during fall season showed higher reproductive performance (72.723%). During winter season mean BCS of dairy cows was almost the same as fall season (3.04±0.11) but positive response to AI and pregnancy was lower (41.10076) than fall season. In summer season cows with BCS 3.50 responded positively to AI and become pregnant while cows with mean of 3.31±0.10 BCS failed to become pregnant. Statistical analysis of BCS between four seasons of the year showed that increase/decrease of BCS even less than 0.25 points can change efficiency of body condition scoring as management tool. Therefore; efficiency of body condition score as a management tool for dairy farms can change seasonally. Maintenance of dairy cattle with BCS 3.0 during fall and winter following to synchronization and timed artificial insemination (TAI) would increase reproductive performance, fertility and productivity of dairies in industrial, semi-industrial and traditional farming system.
6LoWPAN Overview and Implementations

This paper provides an overview of the 6LoWPAN standard. 6LoWPAN is an open standard developed by IETF. It is an IPv6 adaptation layer running on top of IEEE 802.15. 4 standard. This paper reviews the history that led to the concept of Internet of Things (IoT) and how IoT evolved from simple, non-IP networks to 6LoWPAN based IP networks. In this paper, we argue why 6LoWPAN is an important building block for the future of IoT. We also describe the challenges and most important features of 6LoWPAN, including two application protocol standards CoAP and MQTT-SN that are used in 6LoWPAN. We also list some of the popular implementations of 6LoWPAN, including some Thread products based on 6LoWPAN.
Purification and Characterization of Polyphenol Oxidase from Zyzyphus spina-christi from Telangana Region

Polyphenol oxidase (PPO) from Zyzyphus spina-christi from Telangana region was extracted and purified by (NH4)2SO4 precipitation, ion-exchange chromatography and gel filtration chromatography. The biochemical characteristics of reveals that this PPO has higher affinity towards catechol (Km = 12.2mM and Vmax = 17, 200 U/ml min ) at an optimum pH of 5.75. The enzyme has an optimum temperature of 37.5C and was relatively stable up to 48C for a period of 60 minutes with almost 78% of activity remaining. Among the various polyphenol oxidase inhibitors tested, the most effective inhibitor for the enzyme with 10mM catechol as substrate
Research on Game Model of Wireless Sensor Network Intrusion Detection

Wireless sensor network is widely used in commercial, agricultural, medical and military ﬁelds because of its characters of low energetic consumption, ﬂexible conﬁguration, and convenient deployment. However, due to its high requirement to energetic consumption and distribution, wireless sensor network is more vulnerable to be attacked. Therefore, it is more important to integrate intrusion detection sys-tem to ensure the node and network security in the wireless sensor network. Based on Game Theory, this paper models the attack and defense process in wireless sensor networks, and improves the Game Model for the intruder’s diversiﬁed attack methods, so that it can accurately determine the best defensive strategy of the intrusion detection mechanism, to reduce energy consumption and improve detection efﬁcien-cy; in addition, we also introduce Agent technology to increase the scalability of the system, to improve the problems caused by single point failure, and improve the fault tolerance of the system. Experiments show that the proposed method has a good effect on the scalability and intrusion detection of wireless sensor networks.
Efficiency of Automated Detectors of Learner Engagement and Efficiency of Automated Detectors of Learner Engagement and Affect Compared with Traditional Observation Methods Affect Compared with Traditional Observation Methods

Abstract This report investigates the costs of developing automated detectors of student affect and engagement and applying them at scale to the log files of students using educational software. We compare these costs and the accuracy of the computer-based observations with those of more traditional observation methods for detecting student engagement and affect. We discuss the potential for automated detectors to contribute to the development of adaptive and responsive educational software.
ANTHROPOMETRIC PROFILE OF THE MADRID WOMEN'S SOCCER TEAM U-16 AND U-18 PERFIL ANTROPOMÉTRICO DE LA SELECCIÓN MADRILEÑA DE FÚTBOL FEMENINO SUB-16 Y SUB-18

During the 2017-2018 season and following the protocol of the International Society for the Advancement of Kinanthropometry, the body composition, somatotype and proportionality of 25 female elite Spanish soccers players aged 15-18 were evaluated (15.48 ± 1.05). The percentage of body fat (%BF) analyzed by anthropometry was in the range of 14.21% 17.30% and by BIA between 24.20%29.63%. The lowest adiposity corresponded to female wing players and the highest to female goalkeepers and strikers. The average somatotype was 3.67-4.10-1.90 for the whole sample; in the under 18 years category (3.10-4.33-1.82) the somatotypic dispersion was lower and the mesomorphia higher than in the under 16 years category (3.20-3.97-1.95). In Rev.int.med.cienc. act. fís. deporte vol. 22 número 85 ISSN: 1577-0354 72 proportionality analysis, it showed that the players, especially the under 18 players, had lower subcutaneous skinfolds and higher perimeters in the lower limb than the Phantom model. KEY-WORDS: Kinanthropometry; Body composition; Body proportionality; Women ́s football, Phantom.
Progressive Sentiment Analysis for Code-Switched Text Data

Multilingual transformer language models have recently attracted much attention from researchers and are used in cross-lingual transfer learning for many NLP tasks such as text classification and named entity recognition. However, similar methods for transfer learning from monolingual text to code-switched text have not been extensively explored mainly due to the following challenges: (1) Code-switched corpus, unlike monolingual corpus, consists of more than one language and existing methods can't be applied efficiently, (2) Code-switched corpus is usually made of resource-rich and low-resource languages and upon using multilingual pre-trained language models, the final model might bias towards resource-rich language. In this paper, we focus on code-switched sentiment analysis where we have a labelled resource-rich language dataset and unlabelled code-switched data. We propose a framework that takes the distinction between resource-rich and low-resource language into account. Instead of training on the entire code-switched corpus at once, we create buckets based on the fraction of words in the resource-rich language and progressively train from resource-rich language dominated samples to low-resource language dominated samples. Extensive experiments across multiple language pairs demonstrate that progressive training helps low-resource language dominated samples.
Improving the Quality of Inpatient Ulcerative Colitis Management: Promoting Evidence-Based Practice and Reducing Care Variation With an Inpatient Protocol.

BACKGROUND Hospitalization for ulcerative colitis is a high-risk period associated with increased risk of Clostridium difficile infection, thromboembolism, and opiate use. The study aim was to develop and implement a quality-improvement intervention for inpatient ulcerative colitis management that standardizes gastroenterology consultant recommendations and improves delivery of evidence-based care. METHODS All adult patients hospitalized for ulcerative colitis between July 1, 2014, and December 31, 2017, who received intravenous corticosteroids were included. On July 1, 2016, the UCSF Inpatient Ulcerative Colitis Protocol was implemented, featuring standardized core recommendations and a daily checklist for gastroenterology consultant notes, a bundled IBD electronic order set, and an opiate awareness campaign. The composite primary outcome was adherence to all 3 evidence-based care metrics: C. difficile testing performed, pharmacologic venous thromboembolism (VTE) prophylaxis ordered, and opiates avoided. RESULTS Ninety-three ulcerative colitis hospitalizations occurred, including 36 preintervention and 57 postintervention. Age, gender, disease duration, disease extent, and medication use were similar preintervention and postintervention. C. difficile testing was performed in 100% of hospitalizations. Venous thromboembolism prophylaxis was ordered on 84% of hospital days before intervention compared with 100% after intervention (P ≤ 0.001). Opiates were administered in 67% of preintervention hospitalizations, compared with 53% of postintervention hospitalizations (P = 0.18). The median daily dose of oral morphine equivalents decreased from 12.1 mg before intervention to 0.5 mg after intervention (P = 0.02). The composite outcome of adherence to all 3 metrics was higher after intervention (25% vs. 47%, P = 0.03). CONCLUSIONS Evidence-based inpatient ulcerative colitis management may be optimized with standardized algorithms that reinforce core principles, reduce care variation, and do not require IBD specialists to implement.
Runtime Security Monitoring with eBPF

From containerized workloads to microservices architecture, developers are rapidly adopting new technologies that allow organizations to scale at unprecedented rates. Unfortunately, fast mutating architectures are hard to keep track of, and runtime security monitoring tools are now required to collect application level and container level context in order to provide actionable alerts. This paper intends to explain how eBPF 1 has made it possible to create a new generation of runtime security tools with signiﬁcantly better performance, context and overall signal to noise ratio compared to legacy tools like AuditD.
The Science Library: A Controlled Natural Language driven Science Gateway

—The International Technology Alliance in Distributed Analytics and Information Science (DAIS-ITA) is a research program conducting fundamental research across a consortium of organizations from academia, industry and government in the US and UK. A key output of the program are the academic publications, and from these a rich social and topical network between authors and organizations emerges. To capture and convey this we have created the publicly available Science Library as a user-centric, interactive portal. The Science Library is a Controlled Natural Language (CNL) driven research gateway, which allows the community to explore and query the publications and networks through an open, web-based application. The data is represented through interactive visualizations along with the ability for users to query the model using a natural language conversational interface. The CNL based approach models the data through concepts, properties and relationships which are deﬁned using CNL and are therefore both human readable and directly machine processable. This captures complex semantics in a simple format and enables non-technical users to participate in the continuous improvement of the data model behind the Science Library application. This paper presents the features, implementation and design considerations of the Science Library and the underlying CNL implementation.
A THREE-YEAR EXPERIENCE WITH CONVENTIONAL THYROIDECTOMY (SUBTOTAL THYROIDECTOMY) IN THE MANAGEMENT OF SIMPLE GOITRES IN BINGHAM UNIVERSITY TEACHING HOSPITAL JOS

Introduction:-Thyroidectomy is the surgical procedure for the reduction or total removal of the thyroid gland – to achieve aesthesis or functional changes resulting from enlargement and pressure on the trachea or hyper function of the gland. Thyroidectomy as a procedure has developed significantly due to more understanding of the anatomy of the neck and the surgical technique.Thyroidectomy has common complications related to the procedure which include – haematoma formation, laryngeal nerve palsy and hypocalcaemia, depending on the nature of the procedure, the expertise of the surgeon involved and the technique. Method:-A retrospective study over a three year period (Jan 2018-Dec 2020). Case notes were retrieved and the gender, age, indications, outcome of surgeries noted and analysed with the aim of highlighting the complications observed with conventional thyroidectomy in line with the expertise of the surgeon, the use of nerve monitor, pre/post operative vocal cord assessment and the use of suction drain to eliminate or reduce the complications. Results: 48cases were included in the study, 42 females(87.5%) and 6 males (12.5%);male: female=1:7. Age range is 17to 60 years (mean age-39.48). Patients were all euthyroid before surgery, all were FNAC negative for malignant features, subtotal thyroidectomy was performed for all patients, no permanent laryngeal nerve palsy or permanent hypocalcaemia and no haematoma formation in this study. Conclusion:Conventional thyroidectomy in a less technologically advanced environment with less prospects of replacement therapy can be practiced safely with minimal complications.
Catching the fly in dystopian times

Host-parasite interactions are ubiquitous on Earth. They are present in almost every conceivable ecosystem and often result from a long history of antagonist coevolution [1,2]. Recent studies on climate change have revealed, however, that modification of abiotic variables are often accompanied by shifts in the distributional range of parasites to habitats far beyond their original geographical distribution, creating new interactions in novel habitats with unpredictable consequences for host community structure and organization [3,4]. This situation may be especially critical for endangered host species having small population abundance and restricted distribution range. The Open Access
Nutrition and obstructed labor 1–3

Obstructed labor is one of the most common preventable causes of maternal and perinatal morbidity and mortality in developing countries. Among the common causes are cephalopelvic disproportion, malpresentation, and malposi-tion. Recognizing the causes of obstructed labor is important if the complications are to be prevented. Adequate prevention, however, can be achieved only through a multidisciplinary approach aimed in the short term at identifying high-risk cases and in the long term at improving nutrition. Early motherhood should be discouraged, and efforts are needed to improve nutrition during infancy, childhood, early adulthood, and pregnancy. Improving the access to and promoting the use of reproductive and contraceptive services will help reduce the prevalence of this complication.
Early Analogical Extensions: An ERP Study on Preschoolers' Semantic Approximations Early Analogical Extensions: An ERP Study on Preschoolers’ Semantic Approximations

This study investigates whether the ERPs of 4-years-olds in response to verbal overextensions reflect the encoding of actions through abstract categories. Participants were presented with images of actions (e.g. peeling an orange) while hearing a sentence containing a conventional verb (e.g. peeling ), an approximative verb (e.g. undressing ), a superficially related verb (e.g. pressing ) or a pseudoverb (e.g. rauging ). The N400 for approximative verbs significantly differed from the pseudoverb condition, but not from the conventional verb condition. In contrast, the N400 for superficially related verbs was significantly greater than for conventional verbs, but no significant difference was found with the pseudoverb condition. These results confirm our hypothesis that encoding mainly focuses on general categories (e.g. taking of an envelope ). The implications of the findings are discussed regarding the conceptual organization of preschoolers and their analogical abilities.
Anthelmintic Effects of Terminalia Catappa (Tropical Almond) Leaf Extract on Onchocerca Volvulus By Modified Selected In-Vitro Bioassay Time Paralysis Death Time

extracts exhibit anthelmintic as well as biological activities, including antioxidants. Purpose : The study was to determine the effects of various concentrations of Terminalia catappa (green and red) leaf extract on the adult Onchocerca volvulus, by modified selected in-vitro bioassay, using the parameters of paralysis and death. Method : A total of 252 adult worms (Onchocerca volvulus) sourced via nodulectomy were used for the study. Diagnosis was done by palpitating the patient’s skin nodules, feeling for hardness and movement of the nodule content. The crushed red and green leaves of Terminalia catappa was extracted using 95% ethanol, filtered, and evaporated (Tabassam method). The dried extracts were also dissolved in sterile dilutions and prepared in a final concentration doses of 10mg/ml, 20mg/ml and 40mg/ml. A positive control beaker contained Albendazole and a negative control beaker, contained saline water. Result : Terminalia catappa red and green (combined) leaf extract recorded a mean average paralysis time of O. volvulus at 15.5mins and death at 39.2mins. Positive control (Albendazole) showed mean average O. volvulus paralysis time of 58 mins ±8.96mins and death at 93.7± 9.59mins. The average negative control (saline water) showed a mean average paralysis time of O. volvulus at 154±5.97 and death at 235 ±4.21mins. Conclusion: is that methanolic extract of Terminalia catappa leaf possesses concentration dependent anthelmintic effects on Onchocerca volvulus and is more potent than the reference drug (Albendazole)
Face Mask Detection Using CNN Techniques and Machine Learning

: After the breakout of the worldwide pandemic COVID-19, there arises a severe need of protection mechanisms, face mask being the primary one. The basic aim of the project is to detect the presence of a face mask on human faces on live streaming video as well as on images. We have used deep learning to develop our face detector model. The architecture used for the object detection purpose is Single Detector (SSD) because of its good performance accuracy and high speed. Alongside this, we have used Shot basic concepts of transfer learning in neural networks to finally output presence or absence of a face mask in an image or a video stream. Experimental results show that our model performs well on the test data with 100 percent and 99 percent precision and recall, respectively. We are making a savvy framework which will identify the whether the specific user has wear the mask or not and furthermore observing the social distancing of two user. Our framework will be python and AI based which will be the safe and quick for delivering the yields. At the point when the client is recognize without mask or dodging social distancing framework offers caution to control room, Control room in control make a declaration of wearing mask or follow social distancing , in the event that still user maintain a strategic distance from it , at that point the specific user will face police. This paper present the Mask Motion Object Detection (MMOD) algorithm, which synthesize the thoughts of background subtraction and frame difference, frame difference mask and background difference mask are generated and utilized to detect motion object. Morphological post processing method is introduced to reduce noise and improve detection precision. It is proved by testing with standard sequence provided by MPEG organization and outdoor/indoor sequence captured by us that MMOD algorithm achieves good detection result[1].
Safety detection of braking system based on wavelet packet and neural network

According to the nonstationary fault signal of piston's blockage in hydraulic pressure and electromagnetic driving braking system,a system of extracting feature vectors by the energy of wavelet packet over the signals and imaging the nonlinear transfer characteristics by neural network to realize the safety detection of the machine is presented.The experimental results prove this method is effectual and applied.
Staff Writer

[Note 1] The traditional meaning of “character” in typography has both symbolic and graphical senses because typographic characters convey two sorts of information. One is the symbols of a writing system. The other is the graphical forms representing the symbols. The symbols are abstract, significant elements of a language or other symbolic system. The graphical shapes representing the symbols have concrete, visible forms. Modern digital fonts map character encodings to graphical forms. Tapping a key on a computer keyboard starts a chain of mappings that eventually result in a visible form on a screen or in print.
Persisting olfactory dysfunction in post-COVID-19 is associated with gustatory impairment: Results from chemosensitive testing eight months after the acute infection

Olfactory and gustatory disorders are prominent symptoms of acute COVID-19. Although both senses recover in many patients within weeks to months, persistency has been described in up to 60%. However up to now most reports on the course of chemosensitive disorders after COVID-19 are not based on psychophysical testing but only on subjective patients’ ratings. In this study we assessed both olfaction and gustation using psychophysical tests eight months after COVID-19. Validated psychophysical testing revealed hyposmia in 18% and hypogeusia in even 32% of 303 included patients. This shows that olfactory and especially gustatory disorders have to be seen as important chronic symptoms post-COVID-19. The high prevalence of gustatory dysfunction indicates that gustatory function does not recover or might even deteriorate in the months following the acute infection.