Miracle-dz/UniFAR-FTUs huggingface dataset:
Trends of Geospatial Technologies and Consumer Behavior in Virtual Tourism across Geographical Distribution

Virtual Tourism refers to the type of tourism activity where a tourist does not visit the destination physically but an environment is created around him with the use of 3D technology and binaural microphones along with environmental effects so that original visual and audio features are depicted for that tourist destination. Geospatial technologies are also gaining importance among tourists interested in geographic or location specific information about a tourism destination. Although there are studies conducted in the area of virtual tourism as an application towards business setup and marketing activities, but concrete studies on tourist perception towards virtual perception are rare. It becomes even more important in diversified country like India where there are large chunk of populations which can be benefitted through Virtual Tourism facility. Therefore, this study is aimed at finding out significant factors impacting the Virtual Tourism and the latest trends going on this field. The current study is designed as an advanced exploratory study in combination of basic descriptive design. The major source of information is secondary data through previously published papers, consultancy reports in tourism sector and articles that are published on the same. The core study region is Indian sub-continent with a global approach. Based on the factors generated through the secondary information, 15 senior members from tourism industry (Travel agency, Theme park and Hotels) were interviewed to validate the consumer psychology/behavior towards virtual tourism. Qualitative analysis has been used in this study. The key findings suggest that Virtual Tourism is surely trending around the world with India becoming a potential destination for the same. The major factors impacting consumer behavior are perceived usefulness of the technology and ease of use which are in sync with the Technology Acceptance Model. Cost of the virtual tourism structure, cost-benefit analysis, educational background requirement for travel, visa process hindrance, and legal complications of the destination are some operational factors that emerged during the findings. There exists a difference in the income, level of technology acceptance, legal requirements to travel and other factors among tourists in different locations. Keywords Virtual Tourism, Geospatial Technologies, Geographic Distribution, Consumer Behaviour
PENGARUH INCOME DIVERSIFICATION TERHADAP RISIKO DAN KINERJA PERBANKAN DI INDONESIA

Teori Porto folio menyatakan bahwa diversifikasi mampu menurunkan risiko sehingga dapat memaksimalkan keuntungan. Hal tersebut mendorong perusahaan perbankan melakukan diversifikasi pendapatan. Penelitian ini menguji pengaruh diversifikasi pendapatan bank terhadap risiko dan kinerja pada bankbank yang terdaftar di Bursa Efek Indonesia tahun 2013-2017. Penelitian dengan pendekatan kuantitatif menggunakan data terukur dan di dukung oleh fakta serta teori. Sampel penelitian ini berjumlah 112 penelitian tahun. Hasil penelitian ini mengungkapkan bahwa semakin terdiversifikasi pendapatan perusahaan per bankan maka dapat meningkatkan risiko bank, sedangkan diversifikasi pendapatan tersebut dapa tmeningkatkan kinerja perusahaan perbankan
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models

Language modeling on large-scale datasets leads to impressive performance gains on various downstream language tasks. The validation pre-training loss (or perplexity in autoregressive language modeling) is often used as the evaluation metric when developing language models since the pre-training loss tends to be well-correlated with downstream performance (which is itself difficult to evaluate comprehensively). Contrary to this conventional wisdom, this paper shows that 1) pre-training loss cannot fully explain downstream performance and 2) flatness of the model is well-correlated with downstream performance where pre-training loss is not. On simplified datasets, we identify three ways to produce models with the same (statistically optimal) pre-training loss but different downstream performance: continue pre-training after convergence, increasing the model size, and changing the training algorithm. These experiments demonstrate the existence of implicit bias of pre-training algorithms/optimizers -- among models with the same minimal pre-training loss, they implicitly prefer more transferable ones. Toward understanding this implicit bias, we prove that SGD with standard mini-batch noise implicitly prefers flatter minima in language models, and empirically observe a strong correlation between flatness and downstream performance among models with the same minimal pre-training loss. We also prove in a synthetic language setting that among the models with the minimal pre-training loss, the flattest model transfers to downstream tasks.
Methods and systems for data management using multiple selection criteria

Systems and methods for data management and data processing are provided. Embodiments may include systems and methods relating to fast data selection with reasonably high quality results, and may include a faster data selection function and a slower data selection function. Various embodiments may include systems and methods relating to data hashing and/or data redundancy identification and elimination for a data set or a string of data. Embodiments may include a first selection function is used to pre-select boundary points or data blocks/windows from a data set or data stream and a second selection function is used to refine the boundary points or data blocks/windows. The second selection function may be better at determining the best places for boundary points or data blocks/windows in the data set or data stream. In various embodiments, data may be processed by a first faster hash function and slower more discriminating second hash function.
Crowdsourcing Service Innovation Creativity: Environmental Influences and Contingencies

To cope with environmental pressures, service firms may utilize crowdsourcing to identify externally-generated ideas to fuel innovation. This research investigates how environmental pressures—customer demandingness, competitive intensity, and technological turbulence—influence firms’ utilization of crowdsourcing for service innovation, and how these factors moderate crowdsourcing’s impact on innovation creativity. By leveraging an attention-based view theoretical model, the results show that competitive intensity and technological turbulence positively affect firms’ usage of crowdsourcing and that environmental pressures interact with crowdsourcing’s influence on innovation creativity. Specifically, customer demandingness accentuates the positive relationship between crowdsourcing and innovation creativity while technological turbulence attenuates this relationship.
The Effect of Word of Mouth on Sales: New Answers from the Comprehensive Consumer Journey Data

Online Word-of-Mouth has great impact on product sales. Although aggregate data suggests that customers read review text rather than relying only on summary statistics, little is known about consumersâ€™ review reading behavior and its impact on conversion at the granular level. To fill this research gap, we analyze a comprehensive dataset that tracks individual-level search, review reading, as well as purchase behaviors and achieve two objectives. First, we describe consumersâ€™ review reading behaviors. In contrast to what has been found with aggregate data, individual level consumer journey data shows that around 70% of the time, consumers do not read reviews in their online journeys; they are less likely to read reviews for products that are inexpensive and have many reviews. Second, we quantify the causal impact of quantity and content information of reviews read on sales. The identification relies on the variation in the reviews seen by consumers due to newly added reviews. To extract content information, we apply Deep Learning natural language processing models and identify six dimensions of content in the reviews. We find that aesthetics and price content in the reviews significantly affect conversion. Counterfactual simulation suggests that re-ordering review content can have the same effect as a 1.6% price cut for boosting conversion.
Implementation of GCG In Making Reputation And CRM, Toward Customer Loyality

this research is based on the problem ineffective implementation of law enforcement in the implementation of assurance program, the newspaper and electronic reporting on the management of participant funds stored in Socials Assurance Labour and conflicts in the board of directors brings unfavorable effects to the image of Socials Assurance Labour, the lack of good relationship between the managers of the Socials Assurance Labour with the participating companies and nnumber of complaints both from employers and from workers who do not feel the benefits during the Social Security participants. The research method used in this study was survey method. The data collected by questionnaires distributed to 100 companies. Schedule whereas the data analysis used path analysis. The research concluded that Good Corporate Governance, Reputation, and Customer Relationship Marketing (CRM) was significant influenced on customer loyality partially. Simultaneously Good Corporate Governance, Reputation, and Customer Relationship Marketing (CRM) have significant influenced on customer loyality. So the hypothesis was verified.
PENGARUH INTELLECTUAL CAPITAL TERHADAP NILAI PERUSAHAAN, MELALUI KINERJA KEUANGAN (Studi Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Tahun 2013 – 2017)

Penelitian ini bertujuan untuk mengetahui pengaruh intellectual capital terhadap nilai perusahaan, pengaruh yang ingin diketahui yaitu baik pengaruh langsung maupun pengaruh tidak langsung melalui kinerja keuangan pada perusahaan yang bergerak di sektor manufaktur. Jenis penelitian ini adalah explanatory research yang bertujuan untuk menjelaskan hubungan kausal antara variabel satu dengan variabel lainnya dengan menggunakan pengujian hipotesis, disertai dengan pendekatan deskriptif kuantitatif. Populasi pada penelitian ini adalah seluruh perusahaan manufaktur yang terdaftar di BEI pada tahun 2013 – 2017. Sedangkan, sampel yang digunakan sejumlah 31 perusahaan yang diperoleh melalui teknik purposive sampling dengan karakteristik yaitu perusahaan menerbitkan annual report selama tahun pengamatan dan perusahaan tidak mengalami kerugian. Sumber data yang digunakan adalah data sekunder. Metode analisis data menggunakan path analysis, dengan menggunakan pendektan Partial Least Square (PLS) melalui aplikasi SmartPLS 3.0. Dari hasil penelitian menunjukkan 1) Terdapat pengaruh langsung yang signifikan antara intellectual capital terhadap kinerja keuangan, 2) Tidak terdapat pengaruh yang signifikan antara intellectual capital terhadap nilai 2 perusahaan, 3) Terdapat pengaruh yang signifikan antara kinerja keuangan terhadap nilai perusahaan, dan 4) Terdapat pengaruh tidak langsung yang signifikan antara intellectual capital terhadap nilai perusahaan melalui kinerja keuangan. Kata kunci: intellectual capital, kinerja keuangan, nilai perusahaan
Uncertainty, calibration and probability: The statistics of scientific and industrial measurement

Uncertainties and frequency distributions The Gaussian distribution General distributions Rectangular distributions Applications Distributions ancillary to the Gaussian A general theory of uncertainty The estimation of calibration uncertainties Consistency and significance tests Method of least squares Theorems of Bernoulli and Stirling and the binomial, Poisson and hypergeometric distributions Appendices Bibliography Index
TECHNOLOGY ACCEPTANCE MODEL AND TRUST IN EXPLAINING CUSTOMER INTENTION TO USE INTERNET BANKING

The purpose of this study is to explain the effect of the Application of Technology Acceptance Model and Trust in Explaining Customer Intention to Use Bank Negara Indonesia (BNI) Internet Banking in Denpasar. The sampling technique in this study was purposive sampling because the population was not known with certainty. The indicators in this study were 20 indicators, so the total respondents were 200 people. The criteria for determining the sample are BNI customers who have never used the internet banking feature and have at least graduated from high school/equivalent. The data collection technique used in this study was questionnaire techniques. The data obtained were analyzed using SEM (Strucutral Equation Modeling) analysis. The results shows that perceived ease of use has a positive and significant effect on perceived usefulness BNI internet banking. Perceived ease of use has a positive and significant effect on attitude towards use BNI internet banking. Perceived usefulness has a positive and significant effect on attitude towards use BNI internet banking. Attitude towards use has a positive and significant effect on intention to use BNI internet banking. Perceived usefulness has a positive and significant effect on intention to use BNI internet banking. Perceived ease of use has a positive and significant effect on intention to use BNI internet banking. Trust has a positive and significant effect on attitude towards use BNI internet banking. Likewise, trust has a positive and significant effect on intention to use BNI internet banking.
Proceedings of the 34th annual meeting on Association for Computational Linguistics

On behalf of the Program Committee for ACL96 we are pleased to present you with this volume containing the papers accepted for presentation at the 34th Meeting of the Association for Computational Linguistics, June 23-28, 1996, at UCSC, Santa Cruz, California. This volume also contains the papers that were selected by the student program committee for presentation at the student poster session.We received a gratifyingly large number of papers (many of them electronically without having to resort to subsequent hard-copy backups), and of unusually high quality. This, of course, made the program committee's job that much more difficult because of the number of papers needing to be read (25 - 30 each), but also because of the onerous task of having to choose between many equally interesting and convincing papers. The encouraging response we had to our request in the call for a wider range of papers also resulted in greater demands on the reviewing process, requiring an unusually wide range of expertise. The hard work of the authors and the committee have produced the stimulating document before you, a broad selection of much of the best work in the field.
Varying Feedback Strategy and Scheduling in Simulator Training: Effects on Learner Perceptions, Initial Learning, and Transfer

VARYING FEEDBACK STRATEGY AND SCHEDULING IN SIMULATOR TRAINING: EFFECTS ON LEARNER PERCEPTIONS, INITIAL LEARNING, AND TRANSFER Sonya Bland-Williams Old Dominion University, 2017 Director: Dr. Ginger Watson This experimental study investigated the effects of visual feedback on initial learning, perceived self-efficacy, workload, near transfer, far transfer, and perceived realism during a simulator-based training task. Prior studies indicate that providing feedback is critical for schema development (Salmoni, Schmidt, & Walter 1984; Sterman, 1994). However, its influence has been shown to dissipate and is not directly proportionate to the frequency at which it is given (Wulf, Shea, & Matschiner, 1998). A total of 54 participants completed the study forming six treatment groups. The independent treatment, visual feedback, was manipulated as scheduling (absolute—every practice trial or relative—every third trial) and strategies (gradual decrease of visual cues within the interface, gradual increase of visual cues within the interface, or a single consistent cue for each trial). Participants completed twelve practice trials of welding under one of six feedback manipulations; then, participants completed twelve practice trials of welding without it. Lastly, participants performed the weld task on actual equipment in a shop area. No treatment showed significant difference among groups with
Gender Inequality in the Usage of ICT Facilities in Academic Libraries: A Case Study of Presbyterian University College Library (PUCL), Ghana

The purpose of the study was to find out gender inequality in the use of ICT facilities in the library among male and female students in the Presbyterian University College of Ghana-Asante Akyem Campus-Ghana. It was a case study which adopted the survey approach with questionnaires as the data collection instrument to solicit the opinions of both genders. The findings disclosed that ICT facilities are available in the library and a significant number of both genders have access to the facilities. However, there were slight variations in the use of the facilities in some domain.Poor internet services, as well as inadequate power supply, were identified as significant challenges that impeded the use of ICT facilities in the library; therefore, it is recommended that measures should be put in place to avoid persistent power failure in the library. Lastly, management of the university should acquire bigger broadband to improve the internet service in the library.
Long-term index fund ownership and stock returns

We examine the implications of stock ownership by index funds for shareholder value. Consistent with recent findings that stock ownership by passive funds contributes to improved governance, we document a strong positive relation between the duration of passive fund holdings and subsequent stock performance. This positive relation is more pronounced for firms with recent poor performance, and for smaller firms and firms with higher allocation weights in passive funds’ portfolios. Our results support the view that index funds, although passive in their investment decisions, successfully contribute to long-term value creation by actively engaging with firms on matters of governance. Ekkehart Boehmer: eboehmer@smu.edu. sg, Singapore Management University. Wanshan Song: songwanshan@mail.shufe. edu.cn, Shanghai University of Finance and Economics. Ashish Tiwari: ashishtiwari@uiowa.edu, the University of Iowa. Zhe Zhang: joezhang@smu.edu. sg, Singapore Management University. 2
Aging Condition and Retail Display Lighting Impact Retail Display Life and Lipid Oxidation of Beef Biceps Femoris Steaks

The objective of this study was to determine the impact of aging method and retail display lighting type on the discoloration and oxidation of a beef muscle with low color stability. Beef biceps femoris (BF; n = 38) were fabricated 48 h postmortem and aged for 16 d post fabrication in either wet (vacuum packaged) or dry conditions. After aging steaks (n = 9) were cut from each BF and randomly assigned to 1 of 3 retail display lengths: 1, 3, or 5 d and 3 light treatments: light emitting diode (LED), high-UV fluorescent (HFLO), or low-UV fluorescent (FLO). Steaks were removed from retail display, and were subjected to instrumental color analysis (L*, a*, b*), surface myoglobin redox forms, lipid oxidation, and metmyoglobin reducing activity. Dry aging resulted in greater (P < 0.05) redness, as determined by a*, saturation index, and hue angle values of beef BF steaks, compared to wet aging. Significant interactions (P < 0.05) between aging method and retail display day were reported for a/b ratios, hue angle, deoxymyoglobin concentrations, and lipid oxidation values. Dry aging resulted in increased (P < 0.05) lipid oxidation over the duration of retail display, as determined by thiobarbituric acid reactive substances (TBARS), in comparison to wet aging. Light by day interactions (P < 0.05) occurred for b*, metmyoglobin concentrations, oxymyoglobin concentrations, and saturation index values. Data indicate that utilization of fluorescent light sources promoted greater redness retention in a muscle with low color and oxidative stabilities over the duration of retail display in comparison to LED light sources.
Empowerment Program, Entrepreneurial Competence and Business Growth SMEs in Denpasar

The purpose of this study is first to measure the extent of direct influence of empowerment programs on entrepreneurial competence and growth of micro, small and medium enterprises and indirect influence of empowerment program on the growth of SMEs through business competence variable. The second provides recommendations for the implementation of empowerment programs that are more appropriate to the needs of SMEs. The research location in Denpasar City with the number of samples of 100 entrepreneurs who have got the empowerment program. Data analysis technique to test the relationship model between variables is Structural Equation Modeling using Partial least Square program.
Exploring deep features: deeper fully convolutional neural network for image segmentation

Classiﬁcation of images has been a widely regarded challenge for the past decade, but a new type of object recognition problem which deals with pixel-level segmentation is posing a more complex task for both computer vision enthusiasts and researcher alike. The convolutional neural network has become a staple for any recognition task, but a new type of ConvNet which is Fully convolutional in architecture has yielded more ﬁne features and proponents. We propose a neural net where we take VGG19 [20], a well-known classiﬁcation CNN, make it fully convolutional for extracting deeper features and lastly use skip-architectures[15] for getting ﬁner output. This yields better result than the pre-existing FCN segmentation architecture [15, 25, 6]. Training was done on augmented VOC12 [4] with SBD [6]training data and validation set was used from reduced VOC12 validation dataset. The model scored mIOU of 68.1 percent in PASCAL VOC 2012 Segmentation challenge.
Pengaruh Penerapan Enterprise Risk Management (COSO) Terhadap Nilai Perusahaan:Studi Empiris pada Perusahaan Manufaktur yang Terdaftar di BEI

In the business world there are lot of uncertainties, every activity carried out or decisions taken always had risks, both small and large. The intelligence of managers, the technological sophistication used even the age of the company will not guarantee success. Today many old companies suddenly go bankrupt, including in Indonesia, the inability of companies to manage risk is the most fatal mistake. This study aims to determine the effect of the application of Enterprise risk management (COSO) on Corporate Value with the Price Book Value (PBV) method.The research method used is descriptive analysis method that is a method that describes what happens to the company based on the facts or events at the company. The author uses a purposive sampling method. The data used is secondary data sourced from annual reports from the 10 best manufacturing companies of the Forbes magazine listed on the Indonesia Stock Exchange for the period 2012-2015. The results of testing the data show that Enterprise risk management has an influence on Company Value. Based on the results of calculations So 4.186 t count> 2.02 t table. While the significant level is 0,000 <0,05. This indicates that ERM has a positive effect on Company Value. Keyword: Enterprise Risk Management: COSO: Corporate Value: Price Book Value (PBV)