Miracle-dz/UniFAR-FTUs huggingface dataset:
THE NEXUS OF GOVERNMENT INCENTIVES AND SUSTAINABLE DEVELOPMENT GOALS: IS THE MANAGEMENT OF RESOURCES THE SOLUTION TO NON-PROFIT ORGANISATIONS?

Sustainable Development Goals (SDGs) have become the main priority across the globe due to their significant role in economic growth and propensity. However, in particular, it is not yet known how governments can achieve SDGs through non-profit organisations (NPOs) by providing financial and non-financial incentives. The present study included 263 Pakistan NPOs in a primary survey using a questionnaire. The results obtained from the Structural Equation Modelling (SEM) highlight that: (i) government incentives do not directly influence community development; (ii) The government non-financial incentives have a significant direct effect on environmental activities to reduce pollution, energy consumption and waste; (iii) Resource management fully mediates the paths between government incentives and community development while partially mediates environmental activities; and finally, (iv) resource management has a favourable influence both on the goals of community development and environmental activities. This research paper contributes to the knowledge in that government incentives do not have a direct influence on social development, but has an indirect influence through efficient management. Recommendations are that government and public bodies need to support NPOs to engage actively in philanthropic activities. Similarly, NPOs should efficiently utilize and manage the resources to benefit the maximum number of poor and needy individuals.
Taming the Wildcards: Towards Dependency-free Rule Caching with FreeCache

Wildcard rules are implemented in various important networking scenarios, including QoS, firewall, access control, and network traffic monitoring and analysis. However, there are cross-rule dependencies between wildcard rules, which both increase significant overhead and affect the semantic correctness of packet classification when caching rules. Considerable efforts have been made to mitigate the impacts of the dependency issue in rule caching, but it is still a bottleneck for cache systems. In this paper, we show how to give applications the flexibility of completely dependency-free wildcard rule caching by decoupling the cached rules and their dependent rules. Our FreeCache scheme has wide applicability to packet classification devices with wildcard rule caching. We validate the effectiveness of FreeCache through two respects: (1) Implementing various cache algorithms (e.g., LSTM) and cache replacement algorithms (e.g., ARC, LIRS) that are difficult to use in dependency-bound situations in the cache system with FreeCache. (2) Developing a prototype in a Software-Defined Network (SDN), where hybrid OpenFlow switches use TCAM as cache and RAM as auxiliary memory. Our experimental results reveal that FreeCache improves the cache performance by up to 60.88% in the offline scenario. FreeCache also offers the promise of applying any existing caching algorithms to wildcard rule caching while guaranteeing the properties of semantic correctness and equivalence.
A Software Measure for IEC 61499 Basic Function Blocks

When proposing new design patterns or design guidelines for IEC 61499 Applications, their performance and quality has to be compared to alternative solutions. Software measures are a way of achieving that. Although first attempts towards software measures for IEC 61499 were made, the standard still lacks a solid set of measures to evaluate applications. Taking a first step in that direction, we propose a set of measures for an IEC 61499 Basic Function Block.
Driving Industry 4.0 Business Through Talent Management of Human Resource System: The Conceptual Framework for Banking Industry

The world of human resources work is characterised by innovative and fast changing of technology wave rapidly. Driving the talent management has recently been the target of increasing interest and is a method by which organisations can meet the demands that are associated with increased complexity. Previous studies have often focused on the management of talent, but the issue of what exactly should be managed has generally been neglected. In this paper, the authors focus on discussing the substance of talent and the problems associated with identifying talent by using the following closely related concepts: employability, knowledge, and competence. The topic of talent management has increased in importance and has gained attention in both the literature and in business practices. The importance of talent management has increased in terms of the impact it brings to the success of an organization. For this reason, organizations prioritize this mechanism which included attracting, retaining and developing talents. It is of high significance as it gives organizations the opportunity to draw and retain necessary talent effectively. Furthermore, talent identification and development help organizations in identifying employees that later been develop as a leader of the future that represent the combination of cyber-physical system due to the diversification of fourth Industrial revolution or Industry 4.0 . These new technologies will impact all cross disciplines and even challenge the function of human resource such as training, staffing, performance appraisal, compensation and job design. The challenger of Industry 4.0 whereby most companies require to design the HR practices through the goal to encourage innovativeness and learning in the organization. To face those challenges successfully, the conceptual framework and future strategy management becomes vital. This paper aims to present the conceptual model and to be tested scientifically.
Selectivity of Evoked Vocal Responses in the Time Domain by Frogs of the Genus Batrachyla

The leptodactylid frogs Batrachyla taeniata, B. antartandica and B. leptopus in southern Chile produce advertisement calls composed of short pulses, repeated in species-specific patterns. Batrachyla lep- topus has a call with a complex structure relative to the other species, with pulses grouped in notes. Male frogs were presented with synthetic imitations of conspecific advertisement calls and variants for which different temporal components were varied systematically. Males of B. taeniata responded with fewer calls to synthetic stimuli having a low pulse rate (12.5 pul- ses/sec) relative to a standard stimulus imitating the natural advertisement call (50 pulses/sec). In contrast, males of B. antartandica gave fewer responses to stimuli having a high pulse rate (8 pulses/sec) relative to the standard call of this species (2 pulses/sec). Batrachyla taeniata gave weaker responses to continuous tones of the same duration as the standard call (500 msec) and B. antartandica also decreased significantly their responses to stimuli composed of pulses of long duration (48 msec) relative to the standard call (6 msec). Males of B. leptopus gave fewer responses to stimuli of extremely short (5 msec) or long (80 msec) notes, relative to the standard call, comprising notes of 40 msec duration. The evoked vocal responses of males of Batrachyla denote preferences that are in correspondence with the divergent pulse repetition patterns in their advertisement calls and with a selective processing of tem- poral features by the anuran auditory system. Such mechanisms of recognition may regulate vocal interac- tions in frog calling assemblages.
Prediction-Based Assembly Assistance System

This paper presents the design of a prediction-based assembly assistance system for manual operations and the results obtained on the data collected from experiments of assembling a customizable product. We integrated into the proposed system a Markov predictor improved with a padding mechanism whose role is to recommend the next assembly step and to detect the worker’s errors. The predictor is trained with correct assembly patterns and tested with real assembly/manufacturing data. The proposed predictor improves the coverage and, thus, there is a significantly higher number of assembly steps which are correctly correlated with the real intentions of the workers.
Enhanced Effect of Aqueous Extract of Telfairia occidentalis Seed on the Microstructure of the Hippocampus of Scopolamine Hydrobromide-Induced Cognitive Dysfunction Rats

Aims: This study assessed histological parameter of the hippocampus using scopolamine-induced cognitive dysfunction rats following the administration of aqueous extract of Telfairia occidentalis seed. Materials and Methods: Thirty Wistar rats weighed between 180-200 g were randomly grouped into five, designated I, II, III, IV and V each containing six rats. Cognitive dysfunction was induced in groups II to V by intraperitoneal administration of 1 mg/kg body weight of scopolamine for seven days before the aqueous extract administration. Group I were fed with animal feed and water ad libitum. Groups III and IV received 875 and 1750 mg/kg body weight of aqueous extract of Telfairia occidentalis seed while group V received 1 mg/kg body weight of donepezil for fourteen days. Twenty-four hours after the last administration, the animals were anaesthetized with their brain tissues perfused, processed and stained with haematoxylin and eosin. Original Research Article Eru et al.; AJORRIN, 3(1): 5-10, 2020; Article no.AJORRIN. 57171 6 Results: Results showed atrophied and karyorrhectic cells with disrupted cell membranes in group II. These pathological features were less in groups III and V but none in group IV when compared to group I. The ameliorative effect of aqueous extract of T. occidentalis may be attributed to the presence of exogenous antioxidants which helps to neutralize the toxic effects caused by scopolamine. Conclusion: In conclusion, the cellular damage caused by scopolamine hydrobromide was reduced in dose dependent manner following administration of aqueous extract of T. occidentalis seed.
Effects of Pre-harvest Application of 1-Methylcyclopropene (1-MCP) on the Postharvest Quality of 'Cavendish' Banana (Musa cavendishii)

Several researches have been conducted to investigate the effect of 1-MCP in bananas, but inconsistencies in the results have been reported. Additionally, the effectiveness of 1-MCP is governed by various factors, such as cultivar, fruit maturity, concentration, time of exposure, and method of application. In this study, the effect of pre-harvest methods — Stalk End Immersion (SEI), bunch spraying (BS), Combination (SEIBS), and Control — of 1-MCP application was determined by observing the postharvest quality of ‘Cavendish’ bananas, such as peel yellowing, sensory firmness, visual quality, weight loss, degree of shriveling, fruit finger drop, organoleptic attributes, chemical properties, and disease incidence. Results revealed that pre-harvest 1-MCP (aqueous solution dosage of 400 nL/L) application through SEI and SEI-BS methods significantly retarded the peel color change up to 7 days of storage and prolonged the banana’s shelf life for up to 19 days under ambient storage conditions. SEI-BS delayed fruit softening (for 15 days) and maintained visual quality (for 19 days) compared to SEI. Fruits treated with 1-MCP through SEI-BS had lesser accumulated weight loss, lower degree of shriveling, and reduced finger drop incidence compared to BS and SEI methods conducted separately. In terms of cost efficiency, BS had lower cost compared to SEI and SEI-BS methods, while the chemical properties, organoleptic attributes, and disease incidence (crown discoloration, crown rot/mold, and banana anthracnose) failed to show any significant difference among pre-harvest methods.
Development of SSR markers based on a survey of genomic sequences and their molecular analysis in banana (Musa spp.)

Summary Musa (Family Musaceae) is economically the fourth most-important crop after rice, wheat, and maize. Present-day edible banana evolved by intra- and inter-specific hybridisation of two wild species M. acuminata and M. balbisiana. A total of 229 primers were designed based on a survey of the genomic sequence data available on Musa spp. in the National Center for Biotechnology Information database. Twenty-six microsatellite (SSR) markers were amplified in 15 banana accessions. These 26 SSR markers revealed a total of 88 alleles, ranging from two-to-six alleles per locus, with an average of 3.38 alleles per locus. Genetic analysis resulted in observed heterozygosity (Ho) values ranging from 0.06 – 0.80, with a mean of 0.40. Polymorphic information content (PIC) values ranged from 0.21 – 0.77, with a mean of 0.47. A dendogram based on the SSR data grouped the 15 different banana accessions into three groups. These new SSR markers may be of value for future characterisation of banana germplasm, gene mapping, and genetic analysis.
Densitometric and Histomorphometric Analysis for Testing New Bone Substitutes (BLUE BONE®), a Comparative Study on Rabbits' Femoral Defect

Aims: to evaluate the osteogenic regeneration ability of new nanometric biphasic hydroxyapatite and tricalcium phosphate (80/20) BLUE BONE. Materials and methods: twenty domestic rabbits were used in the present study with two defects were created in the rabbit's femur, one filled with BLUE BONE material and the other defect were left empty as negative control. Densitometric and histomorphometric analysis measured at 3 days, 7 days, 14 days, and 28 days. Results: showed positive osteogenic properties of the BLUE BONE due to the osteoconduction properties. Conclusions: this study supports that BCP may have better application prospects for bone repair.
Lethal and Sublethal Effects of Aldicarh on Two Potato Aphids (Homoptera: Aphidae): Myzus persicae (Sulzer) and Macrosiphum euphorbiae (Thomas)

Field tests conducted in 1982 and 1983 indicated that a minimum of 30 h was required to reach a 50% mortality level when winged green peach aphids, Myzus persicae (Sulzer), are exposed to aldicarb-treated potato plants. Surviving aphids are not expected to be efficient vectors of persistent viruses because of a significantly reduced ability to fly and to probe. Tests done with the common potato aphid, Macrosiphum euphorbiae (Thomas), yielded similar results.
Multi-label Classification of Indonesian Hate Speech on Twitter Using Support Vector Machines

Hate speech has become a hot issue as it spreads massively on today’s social media with specific targets, categories, and levels. In addition, hate speech can cause social conflict and even genocide. This research proposes a system that classifies hate speech written in Indonesian language on Twitter. It also handles the noisiness of twitter data, such as mixed languages and non-standard text. We not only use Support Vector Machines (SVM) as a classifier, but also compare it with other methods, such as deep learning, CNN and DistilBERT. Apart from standard text preprocessing, we propose to accommodate the effect of translating in handling the multilingual content. The data transformation methods used in the SVM model are Label Power-set (LP) and Classifier Chains (CC). The experiment result shows that the classification using the SVM and CC without stemming, stopword removal, and translation provides the best accuracy of 74.88%. The best SVM hyperparameter on multilabel classification is the sigmoid kernel, the regularization parameter value of 10, and the gamma value of 0.1. Stemming, stopword removal, and translation preprocessing are less effective in this research. Moreover, CNN has a flaw in predicting labels for the training data with a low occurrence rate.
A Survey of Denial-of-Service Attacks and Solutions in the Smart Grid

The scope, scale, and intensity of real, as well as potential attacks, on the Smart Grid have been increasing and thus gaining more attention. An important component of Smart Grid cybersecurity efforts addresses the availability and access to the power and related information and communications infrastructures. We overload the term, Denial-of-Service (DoS), to refer to these attacks in the Smart Grid. In this paper, we provide a holistic and methodical presentation of the DoS attack taxonomies as well as a survey of potential solution techniques to help draw a more concerted and coordinated research into this area, lack of which may have profound consequences. To the best of our knowledge, the literature does not have such a comprehensive survey study of the DoS attacks and solutions for the Smart Grid.
Unusually high reproductive effort by sage grouse in a fragmented habitat in north-central Washington

Productivity of Sage Grouse (Centrocercus urophasianus) was studied in north-central Washington during 1992-1996. Nest timing and success, clutch size, probability of nesting and renesting, and variation associated with age and year were examined for 84 females monitored with the aid of radio telemetry. Although date of nest initiation varied annually, yearling females (hatched in previous year) consistently nested later than adults; mean date of initiation of incubation was 22 April overall. The average nest contained 9.1 eggs and was incubated for 27 days. Clutch size was smaller for renests than for first nests; clutch size also varied annually. Although the overall rate of nest success was only 36.7%, all females apparently nested at least once, and at least 87.0% of females renested following predation of their first nests. As a result of renesting, annual breeding success was estimated as 61.3%. Percent of all females that produced a brood at least 50 days old was 49.5%; at least 33.4% of 515 chicks survived ≥ 50 days following hatch. Although the rates of nesting and renesting appear to have been under-estimated in other studied populations, Sage Grouse in north-central Washington display more reproductive effort overall; they lay more eggs and are more likely to nest and renest.
A Review of Using Few-Mode Fibers for Optical Sensing

The development of few-mode fiber (FMF) has found numerous interesting applications in optical sensing. Given the remarkable capabilities of FMF, optical sensors of novel functionalities can be deployed. Here, we review the progress on state-of-the-art technology for FMF-based optical sensing. In particular, we focus on utilizing FMF for multi-parameter and absorption-based sensing. Additionally, we summarize the trials of using FMF as a compromise between single-mode fiber (SMF) and multimode fiber (MMF) to develop optical sensors of higher signal-to-noise ratio (SNR) and spatial resolution. A final discussion on the main limitations of FMF-based sensors along with prospects for further research are presented.
Frequency-Selective Impedance Control for DC Microgrids

In this paper a novel impedance control technique is developed. The technique is aimed to suppress the steady-state ripples of a micro grid's DC-bus voltage, caused by load's current harmonics. The effect is achieved by lowering the bus impedance at the selected frequencies, that correspond to the frequency spectrum of the loads. The frequency-selective impedance control (FSIC) is implemented by increase of the voltage-loop gain at the specified frequencies using the cascade of the resonance-type controllers (R-controllers). The R-controllers are tuned to the parameters of the distortion. Since the oscillation frequency of the R-controller isn't restricted by the voltage-loop's bandwidth, the control capabilities of a power converter are extended up to its Nyquist frequency. An approach to configure the R-controllers is developed. The effectiveness of the technique is proved by the experiments at the DC micro grid prototype. The experiments demonstrate a significant reduction of the bus voltage ripples under the FSIC.
Strong Diversification at the Treeline among Metallura Hummingbirds

The hummingbird genus Metallura comprises nine species. Six of them live at the treeline and replace each other sharply along the eastern slope of the tropical Andes (williami, baroni, odomae, theresiae, eupogon, and aeneocauda). Their ranges overlap for 3,000 km along the Andes with M. tyrianthina, which lives at lower elevations and is differentiated into several subspecies that show clinal variation. The genus also includes M. phoebe in semi- arid western Peru and M. iracunda in the Perija Mountains of the northern Andes. The group could be a good model to study relative differences in diversification between montane forest as such and the narrow transition zone toward the barren highlands. Analysis of nucleotide sequences from three different mitochondrial gene fragments (cytochrome b, ND2, and ND5) show that Metallura forms a monophyletic group whose sister taxon is the genus Chalcostig- ma. The treeline forms of Metallura, including the morphologically divergent M. phoebe, group in a clade sister to M. tyrianthina, confirming the idea that montane forest and treeline forms are sister taxa in a strict sense. Neighboring treeline species show greater morphological and genetic differentiation relative to neighboring montane forest forms. The split between mid- elevation and treeline forms is estimated to have occurred during the Pliocene, suggesting that much of the Metallura radiation took place during the Pleistocene. Received 6 March 1998, accepted 14 December 1998.
An Architecture for Level-3 EV Battery Charger Stations Using Integrated Solid State Transformer (I-SST)

This paper proposes a new battery charger station architecture based on Integrated Solid-State Transformer (I-SST). The system consists of modular AC-AC converters with 20 kHz isolation and direct three-phase AC- DC Medium Voltage (MV) conversion. Output DC voltage regulation is achieved with a simple control scheme. Zero Voltage Switching (ZVS) is achievable for a wide output voltage range using phase-shift modulation. To comply with IEEE-519 standard, an Active Power Filter circuit block is employed. Simulation and experimental results are discussed.
Design of Low-Power Sub-2.4 dB Mean NF 5G LNAs Using Forward Body Bias in 22 nm FDSOI

This article presents K/Ka-band low-noise-ampli- fiers (LNAs) for 5G front ends. The use of forward body bias (FBB) in fully depleted silicon-on-insulator (FDSOI) devices is studied and utilized to improve the LNA performance under reduced supply voltage and dc power (<inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ dc}}$ </tex-math></inline-formula>). Design procedures targeting high linearity, low noise, and high gain are provided. The two-stage common-source LNA (CS-LNA) achieves sub-2.1 dB mean NF, 20.1 dB peak gain, 9 GHz 3 dB bandwidth (BW) from 19.5 to 28.5 GHz, and an in-band IIP<sub>3</sub> of 0 dBm with 9.6 mW <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ dc}}$ </tex-math></inline-formula>. The single-stage cascode LNA (CAS-LNA) achieves over 10 dB gain, 11 GHz 3 dB BW, and an IIP<sub>3</sub> of 7.5 dBm for a 2.2 dB mean NF. The two-stage CAS-LNA has 28.5 dB peak gain, 4 GHz BW, and 2.25 dB mean NF for 20 mW <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ dc}}$ </tex-math></inline-formula>. In the low-power mode, the CS-LNA operates at 0.4 V with <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ dc}}$ </tex-math></inline-formula> of 3.2 mW, 16.9 dB gain, and less than 2.2 dB mean NF, while the two-stage CAS-LNA achieves 2.4 dB NF and 23 dB gain for 5.5 mW. Also, ultralow-power operation and sub-3 dB NF are possible with the CS-LNA at 0.2 V/1 mW with 12 dB gain and for the CAS-LNA at 0.4 V/2.4 mW with 17.7 dB gain. To the best of our knowledge, the single-stage CAS-LNA shows the highest IIP<sub>3</sub> at 28 GHz compared with the published CMOS work. The two-stage FBB CS and CAS designs have the lowest voltage supply, <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ dc}}$ </tex-math></inline-formula>, and best Figure of Merit (FoM) for mm-waves 5G LNAs in the low-power mode.