Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Age of Acquisition in Early Word Learning Using Recurrent Neural Networks

Vocabulary growth and syntactic development are known to be highly correlated in early child language. What determines when words are acquired and how can this help us understand what drives early language development? We train an LSTM language model, known to detect syntactic regularities that are relevant for predicting the difﬁculty of words, on child-directed speech. We use the average surprisal of words for the model, which encodes sequential predictability, as a predictor for the age of acquisition of words in early child language. We compare this predictor to word frequency and others and ﬁnd that average surprisal is a good predictor for the age of acquisition of function words and predicates beyond frequency, but not for nouns. Our approach provides insight into what makes a good model of early word learning, especially for words whose meanings rely heavily on linguistic context.
Creating High-Performance Organizations in Asia: Issues to Consider

The healthcare industry in developing nations has recorded high progress rate in recent years, leading an initiative varied studies into the examination of patients’ comparative and varied views with regards to private healthcare providers service delivery. This study objectively focused on the hospital’s service quality, and patients’ satisfaction as a predictor and collective impact or on patient’s loyalty; it attempted to draw a distinctive border amongst quality of service and satisfaction of the patient, one with more effect size and predictive relevance to drive greater loyalty amongst the patients in a private healthcare delivery setting. A total of 562 patients recruited, participated in a cross-sectional survey with a questionnaire as the main and only data collection tool from four major private hospitals in Ghana. A path and linear regression analysis of the data was performed through SPSS 23 and Smart PLS version 3 in order to compute path coefficients, direct and indirect impacts of the factors; service quality and patient's satisfaction on patient’s loyalty to the hospital. The study suggested that both clientele perceived service quality and patient satisfaction significantly influence patient loyalty. However, patient satisfaction with service delivery had a better predictive relevance and effect size than the quality of the service on patient loyalty in this study.
Zone Based Energy Efficient Clustering Routing Protocol for Wireless Sensor Network

- Clustering preserves energy resources, offers robustness, lends support to scalability and saves communication bandwidth. Clustering is categorized into two classes, static and dynamic, depending on the frequency of clustering. Clustering can also be equal or unequal based on the size of clusters or number of nodes. In hierarchical routing protocols, during multi-hop communication hot-spots are created due to imbalanced energy consumption among the nodes. Unequal dynamic clustering is used to resolve this problem but does not guarantee connectivity and causes high overhead. To use as little overhead as possible, guarantee connectivity and alleviate the hot-spot problem, a zone based energy efficient clustering routing protocol has been proposed in this paper. The sensing area is partitioned into fixed number of equal static clusters. The clusters are allotted to two zones known as near and far zone. The zone towards the base station is the near zone and rest of the network space is the far zone. Dual cluster heads are used in the near zone for sharing the reception, aggregation and data forwarding tasks. Distance from the base station, residual energy and centrality factors elect the cluster heads. An energy efficient inter-cluster communication based on residual energy and distance to the base station is applied for data forwarding. The proposed protocol prevents formation of hot-spots, uses balanced energy consumption among the nodes and prolongs lifetime.
Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform

It has been observed that the accuracy of multimodal biometric system is highly dependent on the adequacy of the applied fusion technique. Fusion at sample, template, matching and ranking levels have all proved reasonable contributions to the performance of the multi-modal systems. In this paper, a model that is based on the combination of Principal Component Analysis (PCA) and Stationary Wavelet Transform (SWT) is proposed for the fusion of biometric images. The model comprises image depuration, histogram balancing, pruning and homogenization as well as PCA-based feature extraction stages. The decomposition and fusion of the images (using the extracted features) were based on SWT. The experimental study of the model with standard face and ear images revealed its suitability for obtaining high quality fusion. The obtained Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Standard Deviation (SD) values established the superiority of the proposed model over some related ones
A Multidisciplinary Pharmacological Approach for Management of Osteoporosis Affecting Implant-Bone Healing - A Review

A multidisciplinary approach to medicine is something that is becoming more popular and widespread today. The combination of multiple health care disciplines can be extremely beneficial to progress an individual’s healing at a more rapid pace than relying only on one area for assistance. Amongst the most popular medical disciplines today, ancient ayurvedic medicine is most popular that many patients are seeking to relieve their ailments not only in India but also in other parts of the world. On the other hand, dental implants are the modern treatment modality that is popular for management of edentulism. However, majority of the elderly patients receiving dental implants are systemically associated with bone disorders that affect bone healing which in turn interferes with osseointegration. Here this review focuses on various pharmacological agents (including ayurvedic) for management of osteoporosis. For the review, data was collected from recently published articles (2001-2018) and multidisciplinary treatment options available for osteoporosis are summarized and reviewed.
HarryMotions - Classifying Relationships in Harry Potter based on Emotion Analysis

Sentiment Analysis has long been a topic of interest in natural language processing and computational literary studies, where it can be used to infer the relationships between ﬁctional characters. Building on the dataset and results of Kim and Klinger (2019), we propose a classiﬁer based on BERT that improves the results reported therein and show that we can use this clas-siﬁer to determine the relation between characters in Harry Potter novels. Our proposed sentiment classiﬁer yields an F1-score of up to 75 % for binary classiﬁcation of emotions. Aggregating these emotions over novels, we reach an F1-score of up to 68 % for the classiﬁcation of a pair of characters as friendly or unfriendly.
Engaging for Good: Drivers of Social Media Engagement with Prosocial Messages

Over the last decade, brands have increasingly embedded societal causes into their communication with consumers. This trend has accelerated in social media, where managers often mix both traditional promotion and prosocial messages. Factors that explain consumer engagement with promotionally oriented social media messages have received significant research attention; however, few studies have examined the nature of social media engagement among prosocial messages by brands. Specifically, this research studies the effect of content design characteristics of prosocial messages on consumer engagement in social media. It draws on 762 prosocial media messages posted by eighteen brands on both Twitter and Facebook in 2014. After controlling for traditionally examined message characteristics, the results suggest that both motivation-related factors, such as mission-based goals and call-to-action effort -as well as ability-related factors, such as brand-cause fit and responsibility attribution, significantly affect social media engagement. The results differ in significant ways from prior findings in traditional media and are robust to selectionand endogeneity-related concerns.
Excessive Self-Presentation on Facebook One Year of Analysis of Online Posting

Facebook and social networks in general have exploded in popularity in the last several years, becoming a social institution for teenagers, who use it for self-presentation and as a fundamental tool to project their personal identity and manage social relationships. Taking the opportunity to reveal psychological features by analyzing personal profiles, this study examined the relationship between linguistic style, self-presentation, and other activities on Facebook over the course of one year. Through the linguistic analysis of 50 adolescents’ profiles, a new model titled “The Excessive Online Self-Presentation Model” was developed by considering only the contents of their public posts. Results showed how excessive self-presentation consisted of disclosing personal information, and with a higher number of words per post. Moreover, it was discovered that the frequent use of sexual language was associated with attention-seeking behaviors. The findings of this study were in line with prior research on the content differences in online self-presentation, confirming how linguistic analysis can be a useful tool to analyze cognitive dynamics within virtual environments, and providing a new assessment model to reveal fundamental psychological characteristics of adolescent online behavior. KeywordsFacebook Use; Self-Presentation; Narcissism; Adolescent; Linguistic Inquiry and Word Count
A histological study of the eye in Hyla orientalis (Bedriaga, 1890) (Anura, Hylidae)

Amphibian eyes have an important role in vision and in several physiological processes, such as feeding and locomotion. In the present study, the eye of Hyla orientalis was investigated in terms of histological structures. Light microscopic observations revealed that the eye of H. orientalis was formed by three layers from outside to inside: (a) outer layer- the sclera and the cornea; (b) middle layer- the choroid, ciliary body and the iris; and (c) inner layer- the retina. The cornea was composed of well-defined layers, including a squamous corneal epithelium, the stroma, and corneal endothelium. The lens of H. orientalis was spherical and enclosed by a lens capsule, and its anterior surface was covered by a monolayer of epithelial cells. The posterior sclera consisted of a cartilaginous cup, embedded within a collagenous matrix unlike terrestrial animals. The retina was avascular, and layers of the retina conformed in principle to the standard vertebrate arrangement.
Effect of Internet Banking On Financial Performance of Commercial Banks in Kisumu City-Kenya

: The purpose of this study was to examine effect of internet banking on financial performance of commercial banks in Kenya. Internet banking under technology acceptance model extended from theory of reasoned action entails the inclusion of technology or information system within the operations of a bank. Internet banking is about creating complementary distribution channels in form of information technology. The study used descriptive survey research design. Both quantitative and qualitative data were collected to meet the objective. The proposed study area was Kisumu City targeting all the 34 commercial banks. A total of 11 banks were picked through a simple random sampling strategy. In addition, 5 employees were picked from each commercial bank through a simple random sampling strategy, while 11 branch managers purposively sampled from the selected banks. Therefore, the total number of participants forming a representative sample was 66 comprising of 55 employees and 11 branch managers of which there was a response rate of 92.7 for employees and 100% for branch managers. A combination of primary and secondary sources of data was used to obtain data. The primary sources included self-administered questionnaires and interviews. Document analysis was used to collect secondary data. Quantitative data was analyzed using descriptive statistics(frequency and percentages). Statistical analysis was done with the aid of Statistical Package for Social Sciences version 22.0. All the results of the quantitative analysis were presented in tables, charts, and graphs while the results of qualitative analysis presented in form of themes. From the quantitative analysis, the study established a positive effect of internet banking on financial performance of commercial banks. The qualitative findings also established that there is a positive effect of internet banking on financial performance of commercial banks. Based on the findings, the study recommends that commercial banks enhance their internet banking.
Particularities of the bucco-pharyngeal apparatus in Zenarchopterus kampeni (Pisces : Hemiramphidae) and their probable significance in feeding

The present study shows several new anatomical particularities of the buccal and pharyngeal parts of the halfbeak Zenarchopterus kampeni. The upper buccal jaw consists of premaxillaries and maxillar- ies tightly joined by ligaments. A 10° lowering of the mandible leads to a 30° elevation of the upper jaw. The adductor mandibulae is reduced to bundles A 2 and Aω. As in the Labridae, the lower pharyngeal jaw articu- lates with the scapular girdle. The upper pharyngeal jaw consists of distinct second pharyngobranchials fol- lowed by the third pharyngobranchials fused into a powerful posterior component. This part fits into and slides along a longitudinal ventral gutter of the neuroranium, thanks not only to the dorsal retractor muscles but also to specific retractors of the second pharyngobranchials. The power and dentition of the pharyngeal parts con- trasts with the fragility of the buccal elements.
Corporate Governance and Corporate Social Responsibility Disclosure in Nigerian Financial Sector

The broad objective of this study is to examine the impact of corporate governance on corporate social responsibility (CSR) disclosure in Nigerian financial sector. However, the specific objectives were to investigate the relationship between board size, foreigners on the board, board gender diversity and CSR disclosure. The research sample comprises of 49 companies in the financial sector of the Nigerian Stock Exchange. Secondary data was used for this study from 2012-2016 financial years. Using panel regression analysis, this study found that, board gender diversity has a positively significant relationship with the CSR disclosure while foreigners on the board exhibited a negatively significant relationship. The study also found that board size did not indicate any significant relationship with CSR disclosure. The study concluded that the impact of corporate governance on CSR disclosure cannot be overemphasized. The study therefore recommended that, there is need for increased corporate governance interest in promoting CSR disclosures.
The Role of Interleukins in Colorectal Cancer

Despite great progress has been made in treatment strategies, colorectal cancer (CRC) remains the predominant life-threatening malignancy with the feature of high morbidity and mortality. It has been widely acknowledged that the dysfunction of immune system, including aberrantly expressed cytokines, is strongly correlated with the pathogenesis and progression of colorectal cancer. As one of the most well-known cytokines that were discovered centuries ago, interleukins are now uncovering new insights into colorectal cancer therapy. Herein, we divide currently known interleukins into 6 families, including IL-1 family, IL-2 family, IL-6 family, IL-8 family, IL-10 family and IL-17 family. In addition, we comprehensively reviewed the oncogenic or antitumour function of each interleukin involved in CRC pathogenesis and progression by elucidating the underlying mechanisms. Furthermore, by providing interleukins-associated clinical trials, we have further driven the profound prospect of interleukins in the treatment of colorectal cancer.
Searching for Actions on the Hyperbole

Different from Nickel et al. [4], which updates the prototypes sparsely, i.e., updating one column of P per iteration, we update prototypes P globally. The reason that we don’t update sparsely is that P and its gradients are small enough to fit into one GPU’s memory. For constructing the hyperbolic space, we use geoopt1 library, which is equipped with Dc , R, Sn−1 and corresponding distance metrics, for hyperbolic manifold implementation.
Robust Header Compression in Wireless Networks Robust Header Compression vezeték nélküli hálózatokban

Telecommunication these days is available rather inexpensively for everyone. There are however certain areas, where there is a need to transfer as few bytes as possible. These areas include mostly the wireless and satellite systems, without which we wouldn’t be able to imagine our present lives. With the wide market penetration of smartphones and other devices that employ mobile internet, the systems that provide digital data connection are under higher load than before. Since upgrading the hardware infrastructure is slow and rather costly, the service providers and hardware producers need an alternative method to optimise their usage of the available network bandwidth. Just during a VoIP call, the cumulative size of the protocol stack’s various headers are over the actual data! Fortunately, the "useless" header bytes can be compressed with standardised techniques, of which Robust Header Compression’s (RoHC) first and second versions are the newest. Though the question remains, how do these perform in certain conditions and what are the side effects in these situations. Moreover, it’s interesting to look at how much better the newer and so far less popular versions are than their predecessors. This study introduces these compression techniques and discusses Robust Header Compression’s both versions, while giving some answers through measurement results.
The responses of growing pigs, of different sex and genotype, to dietary energy and protein

Intact male pigs from two nucleus breeding herds (one predominantly Duroc, DM; the other purebred Large Wliite, LM) together with intact male (RM), castrated male (RC) and female (RF) commercial hybrid pigs were given one of two diets, with the same balanced protein (180 or 240 g/kg) at three daily rates, the highest being ‘to appetite‘. Six replicates of 30 pigs were allocated to these regimes at 40 kg: one replicate was slaughtered immediately to determine initial carcass composition; the remaining pigs were slaughtered at 85 kg when carcass fat and specific gravity (SG) were measured. For two replicates this was followed by dissection and chemical analysis: daily gains of carcass lipid and protein were estimated directly for these two replicates and predicted from carcass weight and SG for the other three. Fed ‘to appetite’, castrated males and females ate more than males; LM pigs ate least. All males grew faster than females or castrated males, the DM pigs the fastest, these rankings being relatively insensitive to feeding level. However, both in daily weight gain and daily protein accretion only the males responded to additional dietary protein. Daily body protein accretion of DM pigs increased linearly with intake on both diets whereas LM pigs showed little response to the highest level of feeding. At the same daily protein intake all pigs had higher rates of body protein accretion on the low protein diet, showing that they were sensitive to additional dietary energy. Results indicate that an animal's superiority may result from a greater efficiency of protein utilization or a higher lean growth potential but that these two characteristics are not simply related.
CHANGES IN FATTY ACIDS COMPOSITION OF Longissimus dorsi MUSCLE, BRAIN, LIVER AND HEARTAS EFFECT TO HEMPSEED ADDITION IN PIGS FEEDING

The hempseed is a low-cost ingredient rich in n-3 fatty acids (FA). This study aimed to assess the FA concentration in different pig tissuesin combination with the performance as effect of the dietary addition of hempseed. Twenty hybrid Topigs (38.64 kg) were assigned to a 30d trial into 2 groups: C group received a basal diet and HS group received the same basal diet with 5% hempseed Jubileu variety. The FA were determined by gas chromatography. The n-3 rich diet altered highly significantly PUFA concentration in Longissimus dorsi, liver, heart and brain, especially n-3 PUFA (P<0.0001) without modifying significantly the performances. The brain and liver had registered the highest concentration of long chain FA in the HS diet (5.26% in liver, 5.04% in brain compared to 1.61% in heart). Long-chain FA were not identified in the Longissimus dorsi, whatever the diet. By addition of hempseed the C18:3n3 was increased significantly in all tissues except the brain. As the PUFA increased the peroxidability index also increased, especially in the liver and brain. We can conclude that the hempseed has a valuable nutritive potential, especially in n-3 PUFA, which led to a positive alteration of beneficial FAs.
Knowledge Management, Employee Satisfaction and Performance: Empirical Evidence from Nepal

Knowledge Management (KM) is the process that deals with obtaining, processing, storing, disseminating and applying of information and knowledge within an organization to support and enhance its business performance and employee satisfaction. Financial institutions are realizing knowledge as a crucial resource in organization and should be managed judiciously. Despite the claims for positive relation between KM process and employee satisfaction in banking sector, few researchers have actually proved it. Therefore, the main objective of this study was to measure the effect of knowledge management practices on employee satisfaction of banking sector in Nepal. In this study, a sample of 385 respondents was selected randomly from four different types of financial institutions of Kathmandu, Nepal. Statistical analysis was done to draw the conclusion. The results clearly showed that components of KM process (KM obtaining, KM organizing & KM applying) had positive relation with the organizational performance measured in terms of employee satisfaction.
Survey on Wireless Visual Sensor Networks for Surveillance

— The development of Wireless Visual Sensor Networks (WVSNs) in various surveillance applications has emerged due to the availability of low cost energy efficient cameras. These cameras capture information from the physical environment and perform some processing on the extracted data and transmit it to centralized server. In this paper, the characteristics of WVSNs and the main factor affecting their design has been surveyed. Existing wireless smart camera surveillance systems are discussed along with their features and storage & processing capabilities. Available research frameworks for WVSNs are also discussed.