Miracle-dz/UniFAR-FTUs huggingface dataset:
The Innovation in Business Model for Sustainability in Biotechnology Start-ups in Indonesia

This study explores sustainable innovation in five biotechnology start-ups in Indonesia. We use business model innovation concept to elaborate how the start-ups are driving their business to be more socially and environmentally aware. As an explorative study, this research uses a qualitative approach and identify three drivers of sustainable initiatives: 1) market demand; 2) value chain productivity; and 3) the owner's individual concern. These three drivers create different characters in three approaches of innovation in business model: content, structure, and governance. Keyword business model innovation, sustainability, biotechnology, start-up
Optimal Design of Consistent Simple Temporal Networks

Simple Temporal Networks (STNs) are used in many applications, as they provide a powerful and general tool for representing conjunctions of minimum and maximum distance constraints between pairs of temporal variables. During construction of an STN, it is possible that the network presents some constraint violations that need to be resolved. One way to solve such violations is to remove a minimal number of constraints, already shown to be an APX-hard problem. Another way is relaxing some constraints in different ways till violations are solved and choosing the best configuration according to one or more criteria. In this paper, assuming that it is possible to increase any constraint bound of an STN paying a constraint-specific cost, we exhibit a polynomial-time algorithm that repairs an STN eliminating all constraint violations at minimum global cost.
Achieving supply chain agility through inter-organization knowledge sharing: A research-in-progress

With the rapid development of knowledge economy, knowledge sharing increasingly becomes one of the key factors in enabling agility of the supply chain. This study proposes that inter-organization knowledge sharing, including explicit and tacit knowledge sharing, will affect supply chain agility positively. Further, key antecedents of knowledge sharing are also identified in this research. Specifically, we suggest that partnership uncertainty, interdependence of supply chain partners, trust and commitment of supply chain partner are associated with these two kinds of knowledge sharing. A large scale mail survey was designed and will be conducted in China to test our research model.
In vivo cytokeratin‐expression pattern of stratified squamous epithelium from human papillomavirus‐type‐16–immortalized ectocervical and foreskin keratinocytes

The association between human papillomavirus (HPV) type 16 and cervical squamous‐cell carcinoma has been well documented, and HPV 16 DNA has been shown to immortalize human genital keratinocytes in vitro. Using a panel of cytokera‐tin(CK)‐specific antibodies, we examined the CK expression pattern, an important characteristic of epithelia, of the stratified squamous epithelium reconstructed in vivo from monolayer cultures of 2 human ectocervical and 3 human foreskin keratino‐cyte cell lines immortalized by HPV 16 DNA. Whereas the abnormal epithelium formed from these grafts presented certain aspects of mature terminal differentiation, such as morphology and expression of CKIO/II, the expression patterns for CK19, and especially CK13, were more obviously abnormal. CK18 expression was not detectable in any of the epithelia formed from the 5 cell lines. In contrast, for an HPV‐16–immortalized endocervical cell line and the CaSki cervicalcarcinoma cell line there was expression of CK18. Our results indicate that HPV‐16–induced immortalization of keratinocytes is associated with disruption of the normal CK expression pattern in stratified squamous epithelium and that expression of particular CKs can be differentially disrupted.
Alarming Factors in predictability of failure of financial institutions

The impact of failure of financial institutions is beyond just the failure of a public corporation. The failure of financial institutions in the USA, is a clear evidence that the greater macro impact is beyond just the failure of few financial institutions. It can bring down the entire economy and can have global devastating impact. By realizing the grave systemic risk of the failure, US government is forced to intervene and bail out many institutions for greater macro-economic reasons. It raises the view that perhaps the current regulating policies and methods are lacking efficiency in predicting the possibility of failure ahead of time and hence not effective in preventing that to happen. In this research we apply several existing methods of institutional failure and test the signaling ability of each method in predicting the bankruptcy well ahead of time. We apply Moody’s financial ratios, Standard and Poor’s financial ratio, vaziri’s financial ratio, Altman’s Z score and then applying logit model and discriminant analysis, we test each of these model’s predictive ability for future use. We analyze the reasons like changes in market, policy, economy, and political influence which have led to bankruptcy. Banks or financial institutions from Europe, United States and Asia are considered as samples. Samples are taken from same period to analyze the effect of different methods. The results from this analysis should help us find the most significant method that could be used to identify the risk, so that necessary action could be taken to prevent the effect or reject the project which could lead to bankruptcy in the future. This research would also offer policy recommendations for regulating agencies as to which factors should be analyzed deeply and how to implement a preventive measure ahead of any potential problems.
Molecular typing of Candida isolates from patients hospitalized in an intensive care unit.

OBJECTIVES The aim of our study was the molecular typing of 40 clinical isolates of Candida spp. obtained from patients with burns or trauma hospitalized in the intensive care unit of a general hospital. METHODS Isolates were recovered from blood, deep trauma, urine, sputum or from environment within a short period of time (4 months). The yeasts were identified using commercial yeast identification kits as C. albicans (17 isolates), C. tropicalis (16 isolates) and C. parapsilosis (10 isolates). The epidemiological relation of the isolates was tested with the Random Amplified Polymorphic DNA assay using three or four arbitrary chosen primers. RESULTS All C. albicans isolates presented distinct RAPD profiles, C. tropicalis isolates presented both the same and distinct RAPD patterns and the C. parapsilosis isolates presented the same RAPD pattern. All the environmental isolates were identified as C. parapsilosis and they had the same RAPD pattern as C. parapsilosis clinical isolates. Candida parapsilosis delineation was confirmed with PFGE. CONCLUSIONS The colonization/infection with C. albicans was endogenous, the C. tropicalis colonization/infection was both endogenous and exogenous, and the C. parapsilosis colonization/infection had an environmental origin.
The branched eating disorders test: validity in a nonclinical population.

OBJECTIVE To develop an effective measure of the symptoms of eating disorders for use in community surveys. METHOD A branched eating disorders instrument for administration by notebook computer was evaluated as a screen in 487 teenage schoolgirls. High scorers and a stratified sample of low scorers were evaluated in a second-stage interview with the Eating Disorders Examination (EDE). RESULTS The Branched Eating Disorders Test (BET) proved to have exceptional validity coefficients (sensitivity 100%, specificity 99%, positive predictive value 70%). DISCUSSION This pilot validation suggests that the BET largely overcomes the problems of earlier instruments of limited screening utility when applied to community samples.
Improvement of container scheduling for Docker using Ant Colony Optimization

Docker, a software container implementation, has emerged not only as an operating-system level virtualization but also an application delivery platform for today Internet. However, the scheduling algorithm shipped with SwarmKit, the orchestration engine behind Docker, is suboptimal when resources are nonuniform. The use of meta-heuristic, like Ant Colony Optimization (ACO), is feasible to improve the scheduler's optimality. This paper presents a study of ACO to implement a new scheduler for Docker. The main contribution of this paper is an ACO-based algorithm, which distributes application containers over Docker hosts. It is to balance the resource usages and finally l eads to the better performance of applications. The experimental results showed that workloads placed by ACO performed better than those of the greedy algorithm by approximately 15% on the same host configuration.
Success evaluation of the biological control of Fusarium wilts of cucumber, banana, and tomato since 2000 and future research strategies

Abstract The Fusarium wilt caused by Fusarium oxysporum strains is the most devastating disease of cucumber, banana, and tomato. The biological control of this disease has become an attractive alternative to the chemical fungicides and other conventional control methods. In this review, the research trends and biological control efficiencies (BCE) of different microbial strains since 2000 are reviewed in detail, considering types of microbial genera, inoculum application methods, plant growth medium and conditions, inoculum application with amendments, and co-inoculation of different microbial strains and how those affect the BCE of Fusarium wilt. The data evaluation showed that the BCE of biocontrol agents was higher against the Fusarium wilt of cucumber compared to the Fusarium wilts of banana and tomato. Several biocontrol agents mainly Bacillus, Trichoderma, Pseudomonas, nonpathogenic Fusarium, and Penicillium strains were evaluated to control Fusarium wilt, but still this lethal disease could not be controlled completely. We have discussed different reasons of inconsistent results and recommendations for the betterment of BCE in the future. This review provides knowledge of the biotechnology of biological control of Fusarium wilt of cucumber, banana, and tomato in a nut shell that will provide researchers a beginning line to start and to organize and plan research for the future studies.
Field comparison of network Sun photometers

[1] Measurements of aerosol optical depth have become more numerous since the mid-1990s with the onset of commercially available, high-quality, low-maintenance automatic instrumentation. The development of several networks for aerosol measurements, and the next day availability of preliminary data for some, have further enhanced interest in the products this type of measurement can provide. With several networks operating globally and others operating either regionally or continentally within North America the comparability of the data emanating from the various archive centers is an important issue. The Bratt's Lake Observatory operates four separate types of Sun photometers in conjunction with three different networks: Aerosols in Canada, Global Atmosphere Watch, and the U.S. Department of Agriculture UV-B Monitoring Program. Data collected during the summer of 2001, following the protocols established by the networks and the Meteorological Service of Canada, were analyzed to determine the comparability among these networks. As the instruments and conversion algorithms are similar to other networks from around the globe, it is believed that the results of this comparison can be transferred, at least in part, to other operational networks. The results of the 3-month study indicate that the data obtained from the networks that operate direct-pointing instruments are very comparable, being within ±0.01 of an optical depth for instantaneous measurements during cloud-free line-of-sight conditions. Over the length of the comparison the root mean square difference of aerosol optical depth at 500 nm between the direct sun-pointing instruments was 0.0069. The rotating shadowband instruments did not perform as well. These results indicate that the data from well-maintained networks of direct sun-pointing photometers can provide data of the quality necessary to compare stations from across the globe.
Building stronger hospitality brands through online communities

Purpose Companies increasingly rely on online communities for social customer support, to develop and nurture relationships with customers, and to generate product and service development ideas. As yet, few studies have established the relationship between online communities and branding strategies. Therefore, the impact of online communities on branding requires investigation. The purpose of this paper is to examine the factors that influence brand relationships developed through online communities. Design/methodology/approach A theoretical model was developed based on marketing literature and tested using structural equation modeling with a sample size of 253 respondents. Findings Findings present the underlying reasons why and how online communities build stronger brand relationships with consumers. Online communities have been found to cultivate consumers’ sense of collectiveness with shared values conveyed through brand engagement; enhance consumers’ trust, leading to the establishment of a trustworthy image of the brand; and increase enjoyment and enrich consumers’ experience with the brand through participation and engagement. Originality/value This study provides insights to understand the direct relationship between online communities and brand performance. The findings of the study provide practical implications for brand relationship management and online community design. 研究目的 公司越来越依靠网上社区来提供社交式的消费者服务支持, 以建立和巩固与消费者的关系, 并且以获得产品、服务研发的新想法。 至今为止, 很少的著作致力于研究网上社区与品牌战略的关系。 因此, 网上社区对于品牌扩展的影响作用值得研究。 本论文的研究目的即是研究通过网上社区建立起来的消费者品牌关系的诸多因素。 研究设计/方法/途径 本论文的理论模型是以营销理论为基础而建立的。 本论文采用结构方程模型, 253份样本数据, 来验证建立的理论模型。 研究结果 各种通过网上社区建立更强消费者品牌关系的因素得以分析和整理。 网上社区能够通过使消费者与品牌更贴近的各种活动, 以培养消费者对于品牌的认知和集体意识, 从而使消费者与品牌有一致的价值认知。 此外, 网上社区还能增强消费者对于品牌的信任, 增强了消费者与品牌互动过程的愉悦感和体验感。 研究原创性/价值 本论文对于网上社区和品牌表现之间的直接关系进行梳理和研究。 其研究结果对于品牌关系管理和网上社区设计等方面有着很深的实际启示作用。
Structure and functional interactions of the Tsg101 UEV domain

Human Tsg101 plays key roles in HIV budding and in cellular vacuolar protein sorting (VPS). In performing these functions, Tsg101 binds both ubiquitin (Ub) and the PTAP tetrapeptide ‘late domain’ motif located within the viral Gag protein. These interactions are mediated by the N‐terminal domain of Tsg101, which belongs to the catalytically inactive ubiquitin E2 variant (UEV) family. We now report the struc ture of Tsg101 UEV and chemical shift mapping of the Ub and PTAP binding sites. Tsg101 UEV resembles canonical E2 ubiquitin conjugating enzymes, but has an additional N‐terminal helix, an extended β‐hairpin that links strands 1 and 2, and lacks the two C‐terminal helices normally found in E2 enzymes. PTAP‐containing peptides bind in a hydrophobic cleft exposed by the absence of the C‐terminal helices, whereas ubiquitin binds in a novel site surrounding the β‐hairpin. These studies provide a structural framework for understanding how Tsg101 mediates the protein–protein interactions required for HIV budding and VPS.
A Location and Reputation Aware Matrix Factorization Approach for Personalized Quality of Service Prediction

Prediction of Quality of Service (QoS) values plays an important role in service selection, discovery, and recommendation. Previous works show that the QoS values would be influenced by the location information. However, these researches do not consider the fact that some users may provide untrustworthy QoS values even though they are in the same location region. QoS values from these unreliable users could significantly affect the QoS prediction accuracy. To address this issue, this paper proposes an alternative and efficient approach to predict the missing QoS values, referred as the Location and Reputation aware Matrix Factorization based Location Information (LRMF). LRMF combines both the user's reputation and location information to achieve more accurate prediction results. Experiments are conducted on a real-world Web service QoS dataset, and results show that the proposed method outperforms many other existing QoS prediction methods.
Multi-Sensor State Estimation Fusion on Quadruped Robot Locomotion

In this paper, we present a effective state estimation algorithm that combined with various sensors information (Inertial measurement unit, joints encoder, camera and LIDAR) to enable balance the different frequency and accuracy for the locomotion of our quadruped robot StarDog. Of specific interest is the approach to preprocess a series of sensors measurement which can obtain robust data information, as well as improve the system performance in terms of time and accuracy. In the IMU-centric leg odometry which fuse the inertial and kinematic data, the detection of foot contact state and lateral slip are considered to further import the accuracy of robot's base-link posiiton and velocity. Before use the NDT registration to align the point clouds, we need to feed the requirement by preprocessing these data and obtaining initial localization in map. Also a modular filtering is proposed which can fuse leg odometry based on the inertial-kinematics state estimator of the quadruped robot and LIDAR-based localization method. This algorithm has been tested from the experimental data at indoor building and the motion capture system is used to evaluate the performance, the experimental results can demonstrate the feasibility of low error and high frequency for our quadruped robot system.
Health Utility Improves After Surgery for Superior Canal Dehiscence Syndrome

Objective: Health utility value (HUV) is an outcome measure used to calculate quality adjusted life years (QALYs) and to determine cost-effectiveness of medical treatments. Herein, we measure HUV in patients with superior canal dehiscence syndrome (SCDS) before and after surgical repair. Health utility values of patients with SCDS are compared to normative data of the general United States population. Study Design: Retrospective review of prospectively collected data. Patients: Adult patients with SCDS. Setting: Tertiary referral center. Interventions: SCD repair via middle fossa craniotomy or transmastoid approaches. Main Outcome Measure: Primary outcome: change in HUV, as measured by the Short-Form 6-Dimension questionnaire. Secondary outcomes: autophony index (AI), dizziness handicap inventory (DHI), and hearing handicap inventory (HHI). Results: Fifty-one patients with SCDS were enrolled, 23 underwent surgical repair. Mean HUV in patients with SCDS is significantly lower than the general U.S. population: 0.68 (SD = 0.13) versus 0.80 (0.29), p < 0.01, respectively. Patients electing to undergo surgical repair had similar values relative to nonoperated patients: 0.65 (0.13) versus 0.71 (0.14), p = 0.20, respectively. At mean follow-up of 12 months (range 3–39), postoperative HUV improved to 0.79 (0.12), p < 0.01. AI decreased (improved) after repair: 32.7 (28.0) to 4.8 (8.3), p < 0.001. DHI and HHI did not change significantly after surgery, p > 0.14. Nonoperated patients had no significant change in HUV during a mean follow-up period of 21 months (range 9–39), p = 0.33. Conclusions: SCDS patients have significantly lower HUV compared with the general U.S. population. HUV demonstrated improvement after surgery. Nonoperated patients have ongoing impaired quality of life.
Mice lacking transcription factor NF-E2 provide in vivo validation of the proplatelet model of thrombocytopoiesis and show a platelet production defect that is intrinsic to megakaryocytes.

Mechanisms of platelet production and release by mammalian megakaryocytes are poorly understood. We used thrombocytopenic knockout mice to better understand these processes. Proplatelets are filamentous extensions of terminally differentiated megakaryocytes that are thought to represent one mechanism of platelet release; however, these structures have largely been recognized in cultured cells and there has been no correlation between thrombocytopoiesis in vivo and proplatelet formation. Mice lacking transcription factor NF-E2 have a late arrest in megakaryocyte maturation, resulting in profound thrombocytopenia. In contrast to normal megakaryocytes, which generate abundant proplatelets, cells from these mice never produce proplatelets, even after prolonged stimulation with c-Mpl ligand. Similarly, megakaryocytes from thrombocytopenic mice with lineage-selective loss of transcription factor GATA-1 produce proplatelets very rarely. These findings establish a significant correlation between thrombocytopoiesis and proplatelet formation and suggest that the latter represents a physiologic mechanism of platelet release. We further show that proplatelet formation by normal megakaryocytes and its absence in cells lacking NF-E2 are independent of interactions with adherent (stromal) cells. Similarly, thrombocytopenia in NF-E2(-/-) mice reflects intrinsic defects in the megakaryocyte lineage. These observations improve our understanding of platelet production and validate the study of proplatelets in probing the underlying mechanisms.
Transdisciplinary Collaboration as a Basis for Enhancing the Science and Prevention of Substance Use and “Abuse”

Transdisciplinary scientific collaborations (TDSCs) have the potential to strengthen substance use and misuse research and prevention. Despite its growing prominence as a mode for scientific research, research on TDSC remains in a nascent form and its value to the field of substance use and misuse merits further exploration. The overarching purpose of this article is to examine the potential contributions of transdisciplinary science to research and prevention using conceptualizations, methods, and evidence from a case study of two university-based research centers. The article provides (a) a discussion of the societal context and historical developments that have prompted increasing interest in TDSC; (b) a definition and conceptualization of TDSC; (c) a methodological approach for studying TDSC; (d) initial findings from the case study that reflect instances of transdisciplinary intellectual integration and it examines implications of these methods and findings for future research and policy development relevant to substance use and misuse.
OCCUPATIONAL RISKY BUSINESS: INJURY PREVENTION BEHAVIORS OF FARM WOMEN AND CHILDREN

On farms in the United States, there are approximately 100 fatal and 32,800 nonfatal injuries annually in children 19 years and younger (). Up to 40% of nonfatally injured children are left with permanent disabilities. The impact of injury and death on children associated with farming in the United States is substantial. Research suggests that modeling of health behaviors may be an effective technique for the socialization of children's health behaviors. The purpose of this study is twofold. First, the study describes the participation and use of protective farm equipment or practices by the caregiver and the child. The second purpose is to compare the practices of the caregivers and the children in relation to the use of protective farm equipment and practices. Descriptive and categorical data analysis methods were used to examine the associations of 177 pairs of caregivers and children and their use of protective equipment and preventative behaviors. Greater than 50% of the children under the age of 7 had handled or touched livestock, as well as rode as passengers on tractors. Many children in all age categories had ridden in the back of pick-up trucks. Modeling of the prevention behavior by the caregivers did parallel the use of the equipment by the children. However, the opposite also was true; if the caregiver did not use the equipment, neither did the child.