University of the Philippines Cebu

Purpose The purpose of this paper is to provide a historical account of organizational citizenship behavior (OCB) based on the existing literature. Design/methodology/approach The paper performs keywords search of published articles from 1930 to 2017 in widely used research databases. Findings The historical review shows that the OCB, as a field of study, was slow to develop. Although it has been introduced in the late 1970s and officially defined in the 1980s, its origins can be traced back to the 1930s. Despite this, OCB is generally regarded as a relatively new construct and has become one of the biggest subjects studied in the literature. OCB has reached far and wide into the business and management domains, supporting the fact that the well-being employees and their behaviors can greatly affect organizations’ effectiveness and performance. Having been the topic of a significant number of studies, there have been inconsistent research findings regarding the concepts. Furthermore, some concepts have been noted to overlap, with several scholars using different terms for essentially similar concepts. Originality/value The advent of technology and globalization has greatly affected organizations today which resulted in increased competition in the global business. Firms have started to look into the behavior exhibited by employees as a means of achieving competitive advantage, such as OCB. Voluminous works have been conducted regarding the study of OCB; however, none have been recorded to make an in-depth exploration of when and how it first surfaced. Since its official introduction, explorations regarding OCB have dramatically increased, most especially in the twenty-first century. Unfortunately, this has resulted in an increasing difficulty to keep up with the theoretical and empirical developments in the literature. As interest in OCB continues to grow, coherent integration of the concept becomes progressively more complex and necessary. This paper looks into the chronological evolution of the OCB, giving precise details of its development from the time it was first conceptualized up until the present wherein OCB has been used to indicate organizational effectiveness and performance.

A nonhuman primate model of tuberculosis that closely resembles human disease is urgently needed. We have evaluated the Philippine cynomolgus monkey, Macaca fasicularis, as a model of TB. Cynomolgus monkeys challenged intratracheally with extremely high doses of Mycobacterium tuberculosis (10(5) or 10(4) CFU) developed an acute, rapidly progressive, highly fatal multilobar pneumonia. However, monkeys challenged with moderate or low doses of M. tuberculosis (</=10(3) CFU) developed a chronic, slowly progressive, localized form of pulmonary TB, akin to the disease in humans, that was frequently accompanied by such clinical syndromes as ocular tuberculosis, meningitis and tuberculous spondylitis. A significant proportion of monkeys challenged with 10(2) or 10(1) CFU contained the infection in a subclinical state. The Philippine cynomolgus monkey model is an excellent model of chronic TB and provides an opportunity to study subclinical and potentially latent disease in an animal model.

The growing expansion of contents, placed on the Web, provides a huge collection of textual resources. People share their experiences, opinions or simply talk just about whatever concerns them online. The large amount of available data attracts system developers, studying on automatic mining and analysis. In this paper, the primary and underlying idea is that the fact of knowing how people feel about certain topics can be considered as a classification task. People's feelings can be positive, negative or neutral. A sentiment is often represented in subtle or complex ways in a text. An online user can use a diverse range of other techniques to express his or her emotions. Apart from that, s/he may mix objective and subjective information about a certain topic. On top of that, data gathered from the World Wide Web often contain a lot of noise. Indeed, the task of automatic sentiment recognition in online text becomes more difficult for all the aforementioned reasons. Hence, we present how sentiment analysis can assist language learning, by stimulating the educational process and experimental results on the Naive Bayes Classifier.

Mandaue is a crucial city in Cebu island, Philippines as it links other large metropolises and is highly industrialized. The occurrence of urban heat island (UHI) in Mandaue was already confirmed by a previous study. In this paper, we aim to determine how UHI in Mandaue could be improved by mitigations including increasing vegetation, adding open spaces, employing green roofs and/or a combination thereof. ENVI-met software was utilized to simulate two study sites: M. C. Briones street and the planned urban development (PUD). To reduce computing load, M. C. Briones street was further divided into 2 subareas and PUD into 4 subareas. Results of the simulation indicate that addition of more urban spaces and trees could decrease air temperature by 0.2 ​°C on average while green roof could decrease air temperature by an average range of 0.2 ​°C–0.4 ​°C. When a combination of trees, grasses and green roof is used, air temperature could be decreased by an average range of 0.1 ​°C–0.3 ​°C. Despite these mitigations, thermal comfort index in Mandaue would still be greater than 26 ​°C which means that majority of the people would feel uncomfortable. On the other hand, addition of more urban spaces and trees could decrease surface temperature by an average range of 0.5 ​°C–0.8 ​°C while conversion of building roofs into green roofs would have no effect. When a combination of vegetation and green roof is employed, surface temperature could be decreased by an average range of 0.4 ​°C–1.1 ​°C.

A high proportion of Cebu City’s population lives in informal settlements. This paper describes the range of partnerships between government and non-government organizations in the city which provide services targeted at low-income groups or at settlements with a predominance of low-income households. It also describes how a coalition of NGOs and people’s organizations seeks to ensure the election of mayors with pro-poor policies and to ensure these policies are implemented. It discusses the successes, which mainly involve improved service provision, and the limitations, which include very limited economic benefits for low-income groups despite rapid economic growth, the difficulties that such groups face in acquiring land for housing and the limited influence of NGOs and people’s organizations on the policies of city government.

In Mediterranean subtidal rocky reefs, Cystoseira spp. (Phaeophyceae) form dense canopies up to 1 m high. Such habitats, called 'Cystoseira forests', are regressing across the entire Mediterranean Sea due to multiple anthropogenic stressors, as are other large brown algae forests worldwide. Cystoseira forests are being replaced by structurally less complex habitats, but little information is available regarding the potential difference in the structure and composition of fish assemblages between these habitats. To fill this void, we compared necto-benthic (NB) and crypto-benthic (CB) fish assemblage structures between Cystoseira forests and two habitats usually replacing the forests (turf and barren), in two sampling regions (Corsica and Menorca). We sampled NB fish using Underwater Visual Census (UVC) and CB fish using Enclosed Anaesthetic Station Vacuuming (EASV), since UVC is known to underestimate the diversity and density of the 'hard to spot' CB fish. We found that both taxonomic diversity and total density of NB and CB fish were highest in Cystoseira forests and lowest in barrens, while turfs, that could be sampled only at Menorca, showed intermediate values. Conversely, total biomass of NB and CB fish did not differ between habitats because the larger average size of fish in barrens (and turfs) compensated for their lower densities. The NB families Labridae and Serranidae, and the CB families Blenniidae, Cliniidae, Gobiidae, Trypterigiidae and Scorpaenidae, were more abundant in forests. The NB taxa Diplodus spp. and Thalassoma pavo were more abundant in barrens. Our study highlights the importance of using EASV for sampling CB fish, and shows that Cystoseira forests support rich and diversified fish assemblages. This evidence suggests that the ongoing loss of Cystoseira forests may impair coastal fish assemblages and related goods and services to humans, and stresses the need to implement strategies for the successful conservation and/or recovery of marine forests.

Covering: up to the second quarter of 2020 Threat or treat? While pathogenic bacteria pose significant threats, they also represent a huge reservoir of potential pharmaceuticals to treat various diseases. The alarming antimicrobial resistance crisis and the dwindling clinical pipeline urgently call for the discovery and development of new antibiotics. Pathogenic bacteria have an enormous potential for natural products drug discovery, yet they remained untapped and understudied. Herein, we review the specialised metabolites isolated from entomopathogenic, phytopathogenic, and human pathogenic bacteria with antibacterial and antifungal activities, highlighting those currently in pre-clinical trials or with potential for drug development. Selected unusual biosynthetic pathways, the key roles they play (where known) in various ecological niches are described. We also provide an overview of the mode of action (molecular target), activity, and minimum inhibitory concentration (MIC) towards bacteria and fungi. The exploitation of pathogenic bacteria as a rich source of antimicrobials, combined with the recent advances in genomics and natural products research methodology, could pave the way for a new golden age of antibiotic discovery. This review should serve as a compendium to communities of medicinal chemists, organic chemists, natural product chemists, biochemists, clinical researchers, and many others interested in the subject.

The hunting strategies of pelagic thresher sharks (Alopias pelagicus) were investigated at Pescador Island in the Philippines. It has long been suspected that thresher sharks hunt with their scythe-like tails but the kinematics associated with the behaviour in the wild are poorly understood. From 61 observations recorded by handheld underwater video camera between June and October 2010, 25 thresher shark shunting events were analysed. Thresher sharks employed tail-slaps to debilitate sardines at all times of day. Hunting events comprised preparation, strike, wind-down recovery and prey item collection phases, which occurred sequentially. Preparation phases were significantly longer than the others, presumably to enable a shark to windup a tail-slap. Tail-slaps were initiated by an adduction of the pectoral fins, a manoeuvre that changed a thresher shark's pitch promoting its posterior region to lift rapidly, and stall its approach. Tail-slaps occurred with such force that they may have caused dissolved gas to diffuse out of the water column forming bubbles. Thresher sharks were able to consume more than one sardine at a time, suggesting that tail-slapping is an effective foraging strategy for hunting schooling prey. Pelagic thresher sharks appear to pursue sardines opportunistically by day and night, which may make them vulnerable to fisheries. Alopiids possess specialist pectoral and caudal fins that are likely to have evolved, at least in part, for tail-slapping. The evidence is now clear; thresher sharks really do hunt with their tails.

Dengue virus (DENV) is a serious threat to public health. Having reliable estimates of the burden of dengue is important to inform policy and research, but surveillance systems are not designed to capture all symptomatic DENV infections. We derived the rate of reporting of dengue by comparing active surveillance of symptomatic DENV infections in a prospective community-based seroepidemiological cohort study ( N = 1008) of acute febrile illness in Punta Princesa, Cebu City, Philippines, with passive surveillance data from the Cebu City Health Department. Febrile episodes detected in a weekly follow-up of participants were tested for serotype-specific DENV by hemi-nested reverse transcription-polymerase chain reaction (nested RT-PCR) and acute/convalescent blood samples tested by dengue IgM/IgG enzyme immunoassay. We estimated the burden of dengue in the Philippines in disability-adjusted life years (DALYs), and conducted a probabilistic sensitivity analysis using Monte-Carlo simulations to address uncertainty. The results showed a 21% cumulative reporting rate of symptomatic DENV infections, equivalent to an expansion factor of 4.7 (95% certainty level [CL]: 2.2–15.1). Based on surveillance data in the Philippines for 2010–2014, we estimated 794,255 annual dengue episodes (95% CL: 463,000–2,076,000) and a disease burden of 535 (95% CL: 380–994) DALYs per million population using age weights and time discounting and 997 (95% CL: 681–1,871) DALYs per million population without age and time adjustments. Dengue imposes a substantial burden in the Philippines; almost 10 times higher than estimated for rabies, about twice the burden of intestinal fluke infections, and about 10% of the burden of tuberculosis. Our estimates should inform policy makers and raise awareness among the public.

OBJECTIVE: To identify sociodemographic, knowledge and attitudinal correlates to antibiotic sharing among a community-based sample of adults (age 18 and older) in a low-income setting of the Philippines and to explore community-level data on informal antibiotic distribution in roadside stands (i.e., sari-sari stands). METHODS: Participants (n = 307) completed self-administered surveys. Correlates to antibiotic sharing were assessed using logistic regression with Firth's bias-adjusted estimates. Study staff also visited 106 roadside stands and collected data on availability and characteristics of antibiotics in the stands. RESULTS: 78% had shared antibiotics in their lifetime, most often with family members. In multivariable analysis, agreement with the belief that it is safe to prematurely stop an antibiotic course (OR: 2.8, CI: 1.3-5.8) and concerns about antibiotic side effects (OR: 2.1, CI: 1.1-4.4) were significantly associated with increased odds of reported antibiotic sharing. Antibiotic sharing was not associated with sociodemographic characteristics or antibiotic knowledge. Antibiotics were widely available in 60% of sampled sari-sari stands, in which 59% of antibiotics were missing expiration dates. Amoxicillin and cephalexin were the most commonly available antibiotics for sale at the stands (60% and 21%, respectively). CONCLUSIONS: Antibiotic sharing was common and was associated with misconceptions about proper antibiotic use. Antibiotics were widely available in sari-sari stands, and usually without expiration information. This study suggests that multipronged and locally tailored approaches to curbing informal antibiotic access are needed in the Philippines and similar Southeast-Asian countries.

Whole-genome sequence data of the genus Streptomyces have shown a far greater chemical diversity of metabolites than what have been discovered under typical laboratory fermentation conditions. In our previous natural product discovery efforts on Streptomyces sp. MA37, a bacterium isolated from the rhizosphere soil sample in Legon, Ghana, we discovered a handful of specialised metabolites from this talented strain. However, analysis of the draft genome of MA37 suggested that most of the encoded biosynthetic gene clusters (BGCs) remained cryptic or silent, and only a small fraction of BGCs for the production of specialised metabolites were expressed when cultured in our laboratory conditions. In order to induce the expression of the seemingly silent BGCs, we have carried out a co-culture experiment by growing the MA37 strain with the Gram-negative bacterium Pseudomonas sp. in a co-culture chamber that allows co-fermentation of two microorganisms with no direct contact but allows exchange of nutrients, metabolites, and other chemical cues. This co-culture approach led to the upregulation of several metabolites that were not previously observed in the monocultures of each strain. Moreover, the co-culture induced the expression of the cryptic indole alkaloid BGC in MA37 and led to the characterization of the known indolocarbazole alkaloid, BE-13793C 1. Neither bacterium produced compound 1 when cultured alone. The structure of 1 was elucidated by Nuclear Magnetic Resonance (NMR), mass spectrometry analyses and comparison of experimental with literature data. A putative biosynthetic pathway of 1 was proposed. Furthermore, BE-13793C 1 showed strong anti-proliferative activity against HT-29 (ATCC HTB-38) cells but no toxic effect to normal lung (ATCC CCL-171) cells. To the best of our knowledge, this is the first report for the activity of 1 against HT-29. No significant antimicrobial and anti-trypanosomal activities for 1 were observed. This research provides a solid foundation for the fact that a co-culture approach paves the way for increasing the chemical diversity of strain MA37. Further characterization of other upregulated metabolites in this strain is currently ongoing in our laboratory.

Esta contribución presenta la valoración de las estrategias pedagógicas y didácticas implementadas en una institución educativa del municipio de Ubalá, Inspección Laguna Azul, Bogotá-Colombia. Describe su articulación con la propuesta de Howard Gardner en 1983, referida al desarrollo de las inteligencias múltiples y el aprendizaje autónomo, a través del reconocimiento de las formas individuales de aprendizaje y la estimulación de procesos cognitivos que conllevan al aprendizaje y construcción del espacio.&lt;br /&gt;El propósito fue concientizar a estudiantes y docentes respecto de la significación que tienen las estrategias pedagógicas y didácticas desde la propuesta de Gardner y la importancia de una planeación de estrategias cotidianas que a partir de su reconocimiento, se transforman en nuevas formas activas y creativas que estimulan la motivación hacia el conocimiento, facilitan el proceso de aprendizaje de los estudiantes, fortalecen el desarrollo integral del individuo y promueven las inteligencias&lt;br /&gt;múltiples.

Drug-like molecules are known to contain many different building blocks with great potential as pharmacophores for drug discovery. The continued search for unique scaffolds in our laboratory led to the isolation of a novel Ghanaian soil bacterium, Streptomyces sp. MA37. This strain produces many bioactive molecules, most of which belong to carbazoles, pyrrolizidines, and fluorinated metabolites. Further probing of the metabolites of MA37 has led to the discovery of a new naphthacene-type aromatic natural product, which we have named accramycin A 1. This molecule was isolated using an HPLC-photodiode array (PDA) guided isolation process and MS/MS molecular networking. The structure of 1 was characterized by detailed analysis of LC-MS, UV, 1D, and 2D NMR data. Preliminary studies on the antibacterial properties of 1 using Group B Streptococcus (GBS) produced a minimum inhibitory concentration (MIC) of 27 µg/mL. This represents the first report of such bioactivity amongst the naphthacene-type aromatic polyketides, and also suggests the possibility for the further development of potent molecules against GBS based on the accramycin scaffold. A putative acc biosynthetic pathway for accramycin, featuring a tridecaketide-specific type II polyketide synthase, was proposed.

Current approaches that compare spatial genetic structure of a given species and the dispersal of its mobile phase can detect a mismatch between both patterns mainly due to processes acting at different temporal scales. Genetic structure result from gene flow and other evolutionary and demographic processes over many generations, while dispersal predicted from the mobile phase often represents solely one generation on a single time‐step. In this study, we present a spatial graph approach to landscape genetics that extends connectivity networks with a stepping‐stone model to represent dispersal between suitable habitat patches over multiple generations. We illustrate the approach with the case of the striped red mullet Mullus surmuletus in the Mediterranean Sea. The genetic connectivity of M. surmuletus was not correlate with the estimated dispersal probability over one generation, but with the stepping‐stone estimate of larval dispersal, revealing the temporal scale of connectivity across the Mediterranean Sea. Our results highlight the importance of considering multiple generations and different time scales when relating demographic and genetic connectivity. The spatial graph of genetic distances further untangles intra‐population genetic structure revealing the Siculo‐Tunisian Strait as an important corridor rather than a barrier for gene flow between the Western‐ and Eastern Mediterranean basins, and identifying Mediterranean islands as important stepping‐stones for gene flow between continental populations. Our approach can be easily extended to other systems and environments.

The adoption of Industry 4.0 (I4.0) being a global technology advancement have challenged the adoption decision of stakeholders due to inadequate management strategies provided in the current literature. As a result, there exists a disparity of perception among organisations of whether or not the adoption of I4.0 should be pursued. As a part of this management strategy, this paper attempts to review drivers and barriers and characterise each as being intrinsic or extrinsic. Furthermore, these drivers and barriers are categorised according to technological, economic and regulatory, and social factors. As such, the nature of management strategy can be well-established to aid stakeholders in developing appropriate I4.0 programs and initiatives.

Purpose Due to the growing dominance of the millennials in the secondhand clothing (SHC) market, it is crucial to understand the dynamics of their SHC buying behavior. Despite such significance, it has yet to be explored in the current literature. To address such a gap, this paper aims to explore the antecedents of the SHC buying behavior of millennials. Design/methodology/approach A purposive survey is conducted to establish relationships between the antecedents. As such, the interrelationships of the antecedents are modeled using the interpretative structural modeling (ISM) approach. Findings Results reveal that SHC antecedents exhibit several characteristics depending upon their characterization of being driving, dependence, linkage and autonomous variables. Originality/value This work pioneers the identification of SHC buying behavior antecedents specifically for the millennial market, as well as in the provision of a holistic analysis of the complex contextual relationships of these antecedents. The findings of this work provide insights that are crucial to the extant literature in developing theoretical frameworks and paradigms that help in understanding the dynamics of the SHC buying behavior. Moreover, such results are beneficial to marketing managers and practitioners in innovating their strategies to capture the millennial market better.

Studies on authoritarian values, which have mostly focused on authoritarian regimes and on democracies with spells of authoritarianism, suggest trust in public institutions. However, limited empirical evidence has been carried out in the Philippines where cycles of regime change and authoritarian leadership have characterized its post-authoritarian landscape. Examining multiple public opinion data from the Asian Barometer Survey, this study found that regardless of the political leadership across different regimes, Filipino citizens expressed attitudinal dispositions, i.e. conforming, anti-political pluralism, and support for strong leaders, that constitute authoritarian political values. But instead of a destabilizing effect, estimates from ordinary least squares indicate that Filipino citizens’ authoritarian tendencies enhance institutional trust—seen as an indicator of support for the political system. The findings of this study empirically challenge the view of democratization in the Philippines by foregrounding its ‘populist-authoritarian’ dimension. In addition, they provide evidence of a growing scholarship in comparative political studies that claims that courting confidence for political institutions and regime support does not necessitate a ‘liberal-democratic’ model.

With the extensive applicability of machine learning classification algorithms to a wide spectrum of domains, feature selection (FS) becomes a relevant data preprocessing technique due to the high dimensionality of data used in these domains. While efforts have been made to study various filters for ranking features, scholars have paid little attention to developing a unified framework that can be used as an interface for any filter. The development of such a framework would formalize the understanding of filter-based FS. This helps put scholars in the same perspective when analyzing new FS algorithms. This study proposes a new filter-based FS framework based on the best–worst multi-attribute decision-making method. The proposed algorithm is compared to two control groups: (a) no FS and (b) randomized algorithm. Furthermore, two blocking variables are considered: (i) classifier and (ii) training dataset. The performance of the classifiers was measured using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. A three-way analysis of variance (ANOVA) is used to compare the proposed approach to the control groups considering the blocking variables. This paper offers several contributions to the literature. For one thing, it is one of the few works that put forward a framework for performing filter-based FS. To the best of the authors’ knowledge, the study is the first to provide empirical evidence about the interaction between the factors considered in the literature for evaluating FS algorithms.

This study aims to optimize N-gram based text feature selection in sentiment analysis for commercial products in twitter through polarity lexicons. This can be done by merging dictionary-based weighing with naïve-Bayes classification of sentiments. The study is still ongoing but partial results show potential.

Genetic variants of bovine milk proteins have been intensively used to characterize breeds and as markers for population/QTL studies throughout the world. However, a large number of cattle breeds including those found in Portugal, remain unstudied. In this work, we have analysed the genetic variation of six milk protein loci in 10 Portuguese cattle breeds by isoelectric focusing. High genetic diversities were generally found across breeds, with the exception of Mirandesa that showed a trend to fixation of the most common alleles in five loci, as well as of the rarer CSN3B allele. The casein haplotype BA2A was often the most frequent, followed by haplotypes BA2B and BA1A. Remarkably, CA2A was found to be the second most frequent haplotype in Southern breeds, supporting a geographical cline between Central-Northern European breeds and Bos indicus populations. Our data suggest that high genetic similarity among neighbouring Portuguese breeds is mainly caused by gene flow, and that the geographical distribution of particular casein haplotypes may indicate an influence of African cattle.